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{
"tiddlers": {
"$:/Acknowledgements": {
"title": "$:/Acknowledgements",
"text": "TiddlyWiki incorporates code from these fine OpenSource projects:\n\n* [[The Stanford Javascript Crypto Library|http://bitwiseshiftleft.github.io/sjcl/]]\n* [[The Jasmine JavaScript Test Framework|http://pivotal.github.io/jasmine/]]\n* [[Normalize.css by Nicolas Gallagher|http://necolas.github.io/normalize.css/]]\n\nAnd media from these projects:\n\n* World flag icons from [[Wikipedia|http://commons.wikimedia.org/wiki/Category:SVG_flags_by_country]]\n"
},
"$:/core/copyright.txt": {
"title": "$:/core/copyright.txt",
"type": "text/plain",
"text": "TiddlyWiki created by Jeremy Ruston, (jeremy [at] jermolene [dot] com)\n\nCopyright (c) 2004-2007, Jeremy Ruston\nCopyright (c) 2007-2020, UnaMesa Association\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n* Redistributions of source code must retain the above copyright notice, this\n list of conditions and the following disclaimer.\n\n* Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution.\n\n* Neither the name of the copyright holder nor the names of its\n contributors may be used to endorse or promote products derived from\n this software without specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 'AS IS'\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE."
},
"$:/core/icon": {
"title": "$:/core/icon",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\"><path d=\"M64 0l54.56 32v64L64 128 9.44 96V32L64 0zm21.127 95.408c-3.578-.103-5.15-.094-6.974-3.152l-1.42.042c-1.653-.075-.964-.04-2.067-.097-1.844-.07-1.548-1.86-1.873-2.8-.52-3.202.687-6.43.65-9.632-.014-1.14-1.593-5.17-2.157-6.61-1.768.34-3.546.406-5.34.497-4.134-.01-8.24-.527-12.317-1.183-.8 3.35-3.16 8.036-1.21 11.44 2.37 3.52 4.03 4.495 6.61 4.707 2.572.212 3.16 3.18 2.53 4.242-.55.73-1.52.864-2.346 1.04l-1.65.08c-1.296-.046-2.455-.404-3.61-.955-1.93-1.097-3.925-3.383-5.406-5.024.345.658.55 1.938.24 2.53-.878 1.27-4.665 1.26-6.4.47-1.97-.89-6.73-7.162-7.468-11.86 1.96-3.78 4.812-7.07 6.255-11.186-3.146-2.05-4.83-5.384-4.61-9.16l.08-.44c-3.097.59-1.49.37-4.82.628-10.608-.032-19.935-7.37-14.68-18.774.34-.673.664-1.287 1.243-.994.466.237.4 1.18.166 2.227-3.005 13.627 11.67 13.732 20.69 11.21.89-.25 2.67-1.936 3.905-2.495 2.016-.91 4.205-1.282 6.376-1.55 5.4-.63 11.893 2.276 15.19 2.37 3.3.096 7.99-.805 10.87-.615 2.09.098 4.143.483 6.16 1.03 1.306-6.49 1.4-11.27 4.492-12.38 1.814.293 3.213 2.818 4.25 4.167 2.112-.086 4.12.46 6.115 1.066 3.61-.522 6.642-2.593 9.833-4.203-3.234 2.69-3.673 7.075-3.303 11.127.138 2.103-.444 4.386-1.164 6.54-1.348 3.507-3.95 7.204-6.97 7.014-1.14-.036-1.805-.695-2.653-1.4-.164 1.427-.81 2.7-1.434 3.96-1.44 2.797-5.203 4.03-8.687 7.016-3.484 2.985 1.114 13.65 2.23 15.594 1.114 1.94 4.226 2.652 3.02 4.406-.37.58-.936.785-1.54 1.01l-.82.11zm-40.097-8.85l.553.14c.694-.27 2.09.15 2.83.353-1.363-1.31-3.417-3.24-4.897-4.46-.485-1.47-.278-2.96-.174-4.46l.02-.123c-.582 1.205-1.322 2.376-1.72 3.645-.465 1.71 2.07 3.557 3.052 4.615l.336.3z\" fill-rule=\"evenodd\"/></svg>"
},
"$:/core/images/add-comment": {
"title": "$:/core/images/add-comment",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-add-comment tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M56 56H36a8 8 0 100 16h20v20a8 8 0 1016 0V72h20a8 8 0 100-16H72V36a8 8 0 10-16 0v20zm-12.595 58.362c-6.683 7.659-20.297 12.903-36.006 12.903-2.196 0-4.35-.102-6.451-.3 9.652-3.836 17.356-12.24 21.01-22.874C8.516 94.28 0 79.734 0 63.5 0 33.953 28.206 10 63 10s63 23.953 63 53.5S97.794 117 63 117c-6.841 0-13.428-.926-19.595-2.638z\"/></svg>"
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"title": "$:/core/images/advanced-search-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-advanced-search-button tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M74.565 87.985A47.776 47.776 0 0148 96C21.49 96 0 74.51 0 48S21.49 0 48 0s48 21.49 48 48c0 9.854-2.97 19.015-8.062 26.636l34.347 34.347a9.443 9.443 0 010 13.36 9.446 9.446 0 01-13.36 0l-34.36-34.358zM48 80c17.673 0 32-14.327 32-32 0-17.673-14.327-32-32-32-17.673 0-32 14.327-32 32 0 17.673 14.327 32 32 32z\"/><circle cx=\"48\" cy=\"48\" r=\"8\"/><circle cx=\"28\" cy=\"48\" r=\"8\"/><circle cx=\"68\" cy=\"48\" r=\"8\"/></g></svg>"
},
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"title": "$:/core/images/auto-height",
"tags": "$:/tags/Image",
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},
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"title": "$:/core/images/blank",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-blank tc-image-button\" viewBox=\"0 0 128 128\"/>"
},
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"title": "$:/core/images/bold",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-bold tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M41.146 51.81V21.87h26.353c2.51 0 4.93.21 7.26.628 2.33.418 4.392 1.165 6.185 2.24 1.793 1.076 3.227 2.57 4.302 4.482 1.076 1.913 1.614 4.363 1.614 7.35 0 5.379-1.613 9.263-4.84 11.653-3.227 2.39-7.35 3.586-12.37 3.586H41.146zM13 0v128h62.028a65.45 65.45 0 0016.762-2.151c5.438-1.434 10.278-3.645 14.52-6.633 4.244-2.988 7.62-6.842 10.13-11.563 2.51-4.721 3.764-10.308 3.764-16.762 0-8.008-1.942-14.85-5.826-20.527-3.884-5.677-9.77-9.65-17.658-11.921 5.737-2.75 10.069-6.275 12.997-10.577 2.928-4.303 4.392-9.681 4.392-16.135 0-5.976-.986-10.995-2.958-15.059-1.972-4.063-4.75-7.32-8.336-9.77-3.585-2.45-7.888-4.213-12.907-5.289C84.888.538 79.33 0 73.235 0H13zm28.146 106.129V70.992H71.8c6.095 0 10.995 1.404 14.7 4.212 3.705 2.81 5.558 7.5 5.558 14.073 0 3.347-.568 6.096-1.703 8.247-1.136 2.151-2.66 3.854-4.572 5.11-1.912 1.254-4.123 2.15-6.633 2.688-2.51.538-5.139.807-7.888.807H41.146z\"/></svg>"
},
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"title": "$:/core/images/cancel-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-cancel-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M64 76.314l-16.97 16.97a7.999 7.999 0 01-11.314 0c-3.118-3.118-3.124-8.19 0-11.313L52.686 65l-16.97-16.97a7.999 7.999 0 010-11.314c3.118-3.118 8.19-3.124 11.313 0L64 53.686l16.97-16.97a7.999 7.999 0 0111.314 0c3.118 3.118 3.124 8.19 0 11.313L75.314 65l16.97 16.97a7.999 7.999 0 010 11.314c-3.118 3.118-8.19 3.124-11.313 0L64 76.314zM64 129c35.346 0 64-28.654 64-64 0-35.346-28.654-64-64-64C28.654 1 0 29.654 0 65c0 35.346 28.654 64 64 64zm0-16c26.51 0 48-21.49 48-48S90.51 17 64 17 16 38.49 16 65s21.49 48 48 48z\"/></svg>"
},
"$:/core/images/chevron-down": {
"title": "$:/core/images/chevron-down",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-chevron-down tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M64.053 85.456a7.889 7.889 0 01-5.6-2.316L2.473 27.16a7.92 7.92 0 010-11.196c3.086-3.085 8.105-3.092 11.196 0L64.05 66.344l50.382-50.382a7.92 7.92 0 0111.195 0c3.085 3.086 3.092 8.105 0 11.196l-55.98 55.98a7.892 7.892 0 01-5.595 2.317z\"/><path d=\"M64.053 124.069a7.889 7.889 0 01-5.6-2.316l-55.98-55.98a7.92 7.92 0 010-11.196c3.086-3.085 8.105-3.092 11.196 0l50.382 50.382 50.382-50.382a7.92 7.92 0 0111.195 0c3.085 3.086 3.092 8.104 0 11.196l-55.98 55.98a7.892 7.892 0 01-5.595 2.316z\"/></g></svg>"
},
"$:/core/images/chevron-left": {
"title": "$:/core/images/chevron-left",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-chevron-left tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M47.544 64.053c0-2.027.77-4.054 2.316-5.6l55.98-55.98a7.92 7.92 0 0111.196 0c3.085 3.086 3.092 8.105 0 11.196L66.656 64.05l50.382 50.382a7.92 7.92 0 010 11.195c-3.086 3.085-8.105 3.092-11.196 0l-55.98-55.98a7.892 7.892 0 01-2.317-5.595z\"/><path d=\"M8.931 64.053c0-2.027.77-4.054 2.316-5.6l55.98-55.98a7.92 7.92 0 0111.196 0c3.085 3.086 3.092 8.105 0 11.196L28.041 64.05l50.382 50.382a7.92 7.92 0 010 11.195c-3.086 3.085-8.104 3.092-11.196 0l-55.98-55.98a7.892 7.892 0 01-2.316-5.595z\"/></g></svg>"
},
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"title": "$:/core/images/chevron-right",
"tags": "$:/tags/Image",
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},
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"title": "$:/core/images/chevron-up",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-chevron-up tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M63.947 44.544c2.027 0 4.054.77 5.6 2.316l55.98 55.98a7.92 7.92 0 010 11.196c-3.086 3.085-8.105 3.092-11.196 0L63.95 63.656l-50.382 50.382a7.92 7.92 0 01-11.195 0c-3.085-3.086-3.092-8.105 0-11.196l55.98-55.98a7.892 7.892 0 015.595-2.317z\"/><path d=\"M63.947 5.931c2.027 0 4.054.77 5.6 2.316l55.98 55.98a7.92 7.92 0 010 11.196c-3.086 3.085-8.105 3.092-11.196 0L63.95 25.041 13.567 75.423a7.92 7.92 0 01-11.195 0c-3.085-3.086-3.092-8.104 0-11.196l55.98-55.98a7.892 7.892 0 015.595-2.316z\"/></g></svg>"
},
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"title": "$:/core/images/clone-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-clone-button tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M32.265 96v24.002A7.996 7.996 0 0040.263 128h79.74a7.996 7.996 0 007.997-7.998v-79.74a7.996 7.996 0 00-7.998-7.997H96V48h12.859a2.99 2.99 0 012.994 2.994v57.865a2.99 2.99 0 01-2.994 2.994H50.994A2.99 2.99 0 0148 108.859V96H32.265z\"/><path d=\"M40 56h-7.993C27.588 56 24 52.418 24 48c0-4.41 3.585-8 8.007-8H40v-7.993C40 27.588 43.582 24 48 24c4.41 0 8 3.585 8 8.007V40h7.993C68.412 40 72 43.582 72 48c0 4.41-3.585 8-8.007 8H56v7.993C56 68.412 52.418 72 48 72c-4.41 0-8-3.585-8-8.007V56zM8 0C3.58 0 0 3.588 0 8v80c0 4.419 3.588 8 8 8h80c4.419 0 8-3.588 8-8V8c0-4.419-3.588-8-8-8H8zM19 16A2.997 2.997 0 0016 19.001v57.998A2.997 2.997 0 0019.001 80h57.998A2.997 2.997 0 0080 76.999V19.001A2.997 2.997 0 0076.999 16H19.001z\"/></g></svg>"
},
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"title": "$:/core/images/close-all-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-close-all-button tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M28 111.314l-14.144 14.143a8 8 0 01-11.313-11.313L16.686 100 2.543 85.856a8 8 0 0111.313-11.313L28 88.686l14.144-14.143a8 8 0 0111.313 11.313L39.314 100l14.143 14.144a8 8 0 01-11.313 11.313L28 111.314zM28 39.314L13.856 53.457A8 8 0 012.543 42.144L16.686 28 2.543 13.856A8 8 0 0113.856 2.543L28 16.686 42.144 2.543a8 8 0 0111.313 11.313L39.314 28l14.143 14.144a8 8 0 01-11.313 11.313L28 39.314zM100 39.314L85.856 53.457a8 8 0 01-11.313-11.313L88.686 28 74.543 13.856A8 8 0 0185.856 2.543L100 16.686l14.144-14.143a8 8 0 0111.313 11.313L111.314 28l14.143 14.144a8 8 0 01-11.313 11.313L100 39.314zM100 111.314l-14.144 14.143a8 8 0 01-11.313-11.313L88.686 100 74.543 85.856a8 8 0 0111.313-11.313L100 88.686l14.144-14.143a8 8 0 0111.313 11.313L111.314 100l14.143 14.144a8 8 0 01-11.313 11.313L100 111.314z\"/></g></svg>"
},
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},
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"tags": "$:/tags/Image",
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},
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"title": "$:/core/images/copy-clipboard",
"tags": "$:/tags/Image",
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},
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"title": "$:/core/images/delete-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-delete-button tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\" transform=\"translate(12)\"><rect width=\"105\" height=\"16\" y=\"11\" rx=\"8\"/><rect width=\"48\" height=\"16\" x=\"28\" rx=\"8\"/><rect width=\"16\" height=\"112\" x=\"8\" y=\"16\" rx=\"8\"/><rect width=\"88\" height=\"16\" x=\"8\" y=\"112\" rx=\"8\"/><rect width=\"16\" height=\"112\" x=\"80\" y=\"16\" rx=\"8\"/><rect width=\"16\" height=\"112\" x=\"56\" y=\"16\" rx=\"8\"/><rect width=\"16\" height=\"112\" x=\"32\" y=\"16\" rx=\"8\"/></g></svg>"
},
"$:/core/images/done-button": {
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"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-tip tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M64 128.242c35.346 0 64-28.654 64-64 0-35.346-28.654-64-64-64-35.346 0-64 28.654-64 64 0 35.346 28.654 64 64 64zm11.936-36.789c-.624 4.129-5.73 7.349-11.936 7.349-6.206 0-11.312-3.22-11.936-7.349C54.33 94.05 58.824 95.82 64 95.82c5.175 0 9.67-1.769 11.936-4.366zm0 4.492c-.624 4.13-5.73 7.349-11.936 7.349-6.206 0-11.312-3.22-11.936-7.349 2.266 2.597 6.76 4.366 11.936 4.366 5.175 0 9.67-1.769 11.936-4.366zm0 4.456c-.624 4.129-5.73 7.349-11.936 7.349-6.206 0-11.312-3.22-11.936-7.349 2.266 2.597 6.76 4.366 11.936 4.366 5.175 0 9.67-1.769 11.936-4.366zm0 4.492c-.624 4.13-5.73 7.349-11.936 7.349-6.206 0-11.312-3.22-11.936-7.349 2.266 2.597 6.76 4.366 11.936 4.366 5.175 0 9.67-1.769 11.936-4.366zM64.3 24.242c11.618 0 23.699 7.82 23.699 24.2S75.92 71.754 75.92 83.576c0 5.873-5.868 9.26-11.92 9.26s-12.027-3.006-12.027-9.26C51.973 71.147 40 65.47 40 48.442s12.683-24.2 24.301-24.2z\"/></svg>"
},
"$:/core/images/transcludify": {
"title": "$:/core/images/transcludify",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-transcludify-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M0 59.482c.591 0 1.36-.089 2.306-.266a10.417 10.417 0 002.75-.932 6.762 6.762 0 002.306-1.907c.651-.828.976-1.863.976-3.104V35.709c0-2.01.414-3.74 1.242-5.19.828-1.448 1.833-2.66 3.016-3.636s2.425-1.7 3.726-2.173c1.3-.473 2.424-.71 3.37-.71h8.073v7.451h-4.88c-1.241 0-2.232.207-2.97.621-.74.414-1.302.932-1.686 1.552a4.909 4.909 0 00-.71 1.996c-.089.71-.133 1.39-.133 2.04v16.677c0 1.715-.325 3.134-.976 4.258-.65 1.123-1.434 2.025-2.35 2.705-.917.68-1.863 1.168-2.839 1.464-.976.296-1.818.473-2.528.532v.178c.71.059 1.552.207 2.528.443.976.237 1.922.68 2.839 1.33.916.651 1.7 1.583 2.35 2.795.65 1.212.976 2.853.976 4.923v16.144c0 .65.044 1.33.133 2.04.089.71.325 1.375.71 1.996.384.621.946 1.139 1.685 1.553.74.414 1.73.62 2.972.62h4.879v7.452h-8.073c-.946 0-2.07-.237-3.37-.71-1.301-.473-2.543-1.197-3.726-2.173-1.183-.976-2.188-2.188-3.016-3.637-.828-1.449-1.242-3.179-1.242-5.19V74.119c0-1.42-.325-2.572-.976-3.46-.65-.886-1.419-1.581-2.306-2.084a8.868 8.868 0 00-2.75-1.02C1.36 67.377.591 67.288 0 67.288v-7.806zm24.66 0c.591 0 1.36-.089 2.306-.266a10.417 10.417 0 002.75-.932 6.762 6.762 0 002.306-1.907c.65-.828.976-1.863.976-3.104V35.709c0-2.01.414-3.74 1.242-5.19.828-1.448 1.833-2.66 3.016-3.636s2.425-1.7 3.726-2.173c1.3-.473 2.424-.71 3.37-.71h8.073v7.451h-4.88c-1.241 0-2.232.207-2.97.621-.74.414-1.302.932-1.686 1.552a4.909 4.909 0 00-.71 1.996c-.089.71-.133 1.39-.133 2.04v16.677c0 1.715-.325 3.134-.976 4.258-.65 1.123-1.434 2.025-2.35 2.705-.917.68-1.863 1.168-2.839 1.464-.976.296-1.818.473-2.528.532v.178c.71.059 1.552.207 2.528.443.976.237 1.922.68 2.839 1.33.916.651 1.7 1.583 2.35 2.795.65 1.212.976 2.853.976 4.923v16.144c0 .65.044 1.33.133 2.04.089.71.325 1.375.71 1.996.384.621.946 1.139 1.685 1.553.74.414 1.73.62 2.972.62h4.879v7.452h-8.073c-.946 0-2.07-.237-3.37-.71-1.301-.473-2.543-1.197-3.726-2.173-1.183-.976-2.188-2.188-3.016-3.637-.828-1.449-1.242-3.179-1.242-5.19V74.119c0-1.42-.325-2.572-.976-3.46-.65-.886-1.419-1.581-2.306-2.084a8.868 8.868 0 00-2.75-1.02c-.946-.177-1.715-.266-2.306-.266v-7.806zm43.965-3.538L80.6 52.041l2.306 7.097-12.063 3.903 7.628 10.378-6.12 4.435-7.63-10.467-7.45 10.201-5.943-4.524 7.628-10.023-12.152-4.17 2.306-7.096 12.064 4.17V43.347h7.451v12.596zm34.425 11.344c-.65 0-1.449.089-2.395.266-.946.177-1.863.488-2.75.931a6.356 6.356 0 00-2.262 1.908c-.62.828-.931 1.862-.931 3.104v17.564c0 2.01-.414 3.74-1.242 5.189-.828 1.449-1.833 2.661-3.016 3.637s-2.425 1.7-3.726 2.173c-1.3.473-2.424.71-3.37.71h-8.073v-7.451h4.88c1.241 0 2.232-.207 2.97-.621.74-.414 1.302-.932 1.686-1.553a4.9 4.9 0 00.71-1.995c.089-.71.133-1.39.133-2.04V72.432c0-1.715.325-3.134.976-4.258.65-1.124 1.434-2.01 2.35-2.661.917-.65 1.863-1.124 2.839-1.42.976-.295 1.818-.502 2.528-.62v-.178c-.71-.059-1.552-.207-2.528-.443-.976-.237-1.922-.68-2.839-1.33-.916-.651-1.7-1.583-2.35-2.795-.65-1.212-.976-2.853-.976-4.923V37.66c0-.651-.044-1.331-.133-2.04a4.909 4.909 0 00-.71-1.997c-.384-.62-.946-1.138-1.685-1.552-.74-.414-1.73-.62-2.972-.62h-4.879V24h8.073c.946 0 2.07.237 3.37.71 1.301.473 2.543 1.197 3.726 2.173 1.183.976 2.188 2.188 3.016 3.637.828 1.449 1.242 3.178 1.242 5.189v16.943c0 1.419.31 2.572.931 3.46a6.897 6.897 0 002.262 2.084 8.868 8.868 0 002.75 1.02c.946.177 1.745.266 2.395.266v7.806zm24.66 0c-.65 0-1.449.089-2.395.266-.946.177-1.863.488-2.75.931a6.356 6.356 0 00-2.262 1.908c-.62.828-.931 1.862-.931 3.104v17.564c0 2.01-.414 3.74-1.242 5.189-.828 1.449-1.833 2.661-3.016 3.637s-2.425 1.7-3.726 2.173c-1.3.473-2.424.71-3.37.71h-8.073v-7.451h4.88c1.241 0 2.232-.207 2.97-.621.74-.414 1.302-.932 1.686-1.553a4.9 4.9 0 00.71-1.995c.089-.71.133-1.39.133-2.04V72.432c0-1.715.325-3.134.976-4.258.65-1.124 1.434-2.01 2.35-2.661.917-.65 1.863-1.124 2.839-1.42.976-.295 1.818-.502 2.528-.62v-.178c-.71-.059-1.552-.207-2.528-.443-.976-.237-1.922-.68-2.839-1.33-.916-.651-1.7-1.583-2.35-2.795-.65-1.212-.976-2.853-.976-4.923V37.66c0-.651-.044-1.331-.133-2.04a4.909 4.909 0 00-.71-1.997c-.384-.62-.946-1.138-1.685-1.552-.74-.414-1.73-.62-2.972-.62h-4.879V24h8.073c.946 0 2.07.237 3.37.71 1.301.473 2.543 1.197 3.726 2.173 1.183.976 2.188 2.188 3.016 3.637.828 1.449 1.242 3.178 1.242 5.189v16.943c0 1.419.31 2.572.931 3.46a6.897 6.897 0 002.262 2.084 8.868 8.868 0 002.75 1.02c.946.177 1.745.266 2.395.266v7.806z\"/></svg>"
},
"$:/core/images/twitter": {
"title": "$:/core/images/twitter",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-twitter tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M41.626 115.803A73.376 73.376 0 012 104.235c2.022.238 4.08.36 6.166.36 12.111 0 23.258-4.117 32.105-11.023-11.312-.208-20.859-7.653-24.148-17.883a25.98 25.98 0 0011.674-.441C15.971 72.881 7.061 62.474 7.061 49.997c0-.108 0-.216.002-.323a25.824 25.824 0 0011.709 3.22c-6.936-4.617-11.5-12.5-11.5-21.433 0-4.719 1.274-9.142 3.5-12.945 12.75 15.579 31.797 25.83 53.281 26.904-.44-1.884-.67-3.85-.67-5.868 0-14.22 11.575-25.75 25.852-25.75a25.865 25.865 0 0118.869 8.132 51.892 51.892 0 0016.415-6.248c-1.93 6.012-6.029 11.059-11.366 14.246A51.844 51.844 0 00128 25.878a52.428 52.428 0 01-12.9 13.33c.05 1.104.075 2.214.075 3.33 0 34.028-26 73.265-73.549 73.265\"/></svg>"
},
"$:/core/images/underline": {
"title": "$:/core/images/underline",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-underline tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M7 117.421h114.248V128H7v-10.579zm97.871-18.525V0h-16.26v55.856c0 4.463-.605 8.576-1.816 12.338-1.212 3.762-3.03 7.046-5.452 9.851-2.423 2.806-5.452 4.974-9.086 6.504-3.635 1.53-7.939 2.296-12.912 2.296-6.25 0-11.159-1.786-14.73-5.356-3.57-3.571-5.356-8.417-5.356-14.538V0H23v65.038c0 5.356.542 10.234 1.626 14.633 1.084 4.4 2.965 8.194 5.643 11.382 2.678 3.188 6.185 5.643 10.52 7.365 4.337 1.721 9.756 2.582 16.26 2.582 7.27 0 13.582-1.435 18.938-4.304 5.356-2.87 9.755-7.365 13.199-13.486h.382v15.686h15.303z\"/></svg>"
},
"$:/core/images/unfold-all-button": {
"title": "$:/core/images/unfold-all-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-unfold-all tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><rect width=\"128\" height=\"16\" rx=\"8\"/><rect width=\"128\" height=\"16\" y=\"64\" rx=\"8\"/><path d=\"M63.945 60.624c-2.05 0-4.101-.78-5.666-2.345L35.662 35.662c-3.125-3.125-3.13-8.195-.005-11.319 3.118-3.118 8.192-3.122 11.319.005L63.94 41.314l16.966-16.966c3.124-3.124 8.194-3.129 11.318-.005 3.118 3.118 3.122 8.192-.005 11.319L69.603 58.279a7.986 7.986 0 01-5.663 2.346zM64.004 124.565c-2.05 0-4.102-.78-5.666-2.345L35.721 99.603c-3.125-3.125-3.13-8.195-.005-11.319 3.118-3.118 8.191-3.122 11.318.005L64 105.255l16.966-16.966c3.124-3.124 8.194-3.129 11.318-.005 3.118 3.118 3.122 8.192-.005 11.319L69.662 122.22a7.986 7.986 0 01-5.663 2.346z\"/></g></svg>"
},
"$:/core/images/unfold-button": {
"title": "$:/core/images/unfold-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-unfold tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><rect width=\"128\" height=\"16\" rx=\"8\"/><path d=\"M63.945 63.624c-2.05 0-4.101-.78-5.666-2.345L35.662 38.662c-3.125-3.125-3.13-8.195-.005-11.319 3.118-3.118 8.192-3.122 11.319.005L63.94 44.314l16.966-16.966c3.124-3.124 8.194-3.129 11.318-.005 3.118 3.118 3.122 8.192-.005 11.319L69.603 61.279a7.986 7.986 0 01-5.663 2.346zM64.004 105.682c-2.05.001-4.102-.78-5.666-2.344L35.721 80.721c-3.125-3.125-3.13-8.195-.005-11.319 3.118-3.118 8.191-3.122 11.318.005L64 86.373l16.966-16.966c3.124-3.125 8.194-3.13 11.318-.005 3.118 3.118 3.122 8.192-.005 11.319l-22.617 22.617a7.986 7.986 0 01-5.663 2.346z\"/></g></svg>"
},
"$:/core/images/unlocked-padlock": {
"title": "$:/core/images/unlocked-padlock",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-unlocked-padlock tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M48.627 64H105v32.01C105 113.674 90.674 128 73.001 128H56C38.318 128 24 113.677 24 96.01V64h6.136c-10.455-12.651-27.364-35.788-4.3-55.142 24.636-20.672 45.835 4.353 55.777 16.201 9.943 11.85-2.676 22.437-12.457 9.892-9.78-12.545-21.167-24.146-33.207-14.043-12.041 10.104-1.757 22.36 8.813 34.958 2.467 2.94 3.641 5.732 3.865 8.134zm19.105 28.364A8.503 8.503 0 0064.5 76a8.5 8.5 0 00-3.498 16.25l-5.095 22.77H72.8l-5.07-22.656z\"/></svg>"
},
"$:/core/images/up-arrow": {
"title": "$:/core/images/up-arrow",
"created": "20150316000544368",
"modified": "20150316000831867",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-up-arrow tc-image-button\" viewBox=\"0 0 128 128\"><path d=\"M63.892.281c2.027 0 4.054.77 5.6 2.316l55.98 55.98a7.92 7.92 0 010 11.196c-3.086 3.085-8.104 3.092-11.196 0L63.894 19.393 13.513 69.774a7.92 7.92 0 01-11.196 0c-3.085-3.086-3.092-8.105 0-11.196l55.98-55.98A7.892 7.892 0 0163.893.28z\"/></svg>"
},
"$:/core/images/video": {
"title": "$:/core/images/video",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-video tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M64 12c-34.91 0-55.273 2.917-58.182 5.833C2.91 20.75 0 41.167 0 64.5c0 23.333 2.91 43.75 5.818 46.667C8.728 114.083 29.091 117 64 117c34.91 0 55.273-2.917 58.182-5.833C125.09 108.25 128 87.833 128 64.5c0-23.333-2.91-43.75-5.818-46.667C119.272 14.917 98.909 12 64 12zm-9.084 32.618c-3.813-2.542-6.905-.879-6.905 3.698v31.368c0 4.585 3.099 6.235 6.905 3.698l22.168-14.779c3.813-2.542 3.806-6.669 0-9.206L54.916 44.618z\"/></svg>"
},
"$:/core/images/warning": {
"title": "$:/core/images/warning",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-warning tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M57.072 11c3.079-5.333 10.777-5.333 13.856 0l55.426 96c3.079 5.333-.77 12-6.928 12H8.574c-6.158 0-10.007-6.667-6.928-12l55.426-96zM64 37c-4.418 0-8 3.582-8 7.994v28.012C56 77.421 59.59 81 64 81c4.418 0 8-3.582 8-7.994V44.994C72 40.579 68.41 37 64 37zm0 67a8 8 0 100-16 8 8 0 000 16z\"/></svg>"
},
"$:/language/Buttons/AdvancedSearch/Caption": {
"title": "$:/language/Buttons/AdvancedSearch/Caption",
"text": "advanced search"
},
"$:/language/Buttons/AdvancedSearch/Hint": {
"title": "$:/language/Buttons/AdvancedSearch/Hint",
"text": "Advanced search"
},
"$:/language/Buttons/Cancel/Caption": {
"title": "$:/language/Buttons/Cancel/Caption",
"text": "cancel"
},
"$:/language/Buttons/Cancel/Hint": {
"title": "$:/language/Buttons/Cancel/Hint",
"text": "Discard changes to this tiddler"
},
"$:/language/Buttons/Clone/Caption": {
"title": "$:/language/Buttons/Clone/Caption",
"text": "clone"
},
"$:/language/Buttons/Clone/Hint": {
"title": "$:/language/Buttons/Clone/Hint",
"text": "Clone this tiddler"
},
"$:/language/Buttons/Close/Caption": {
"title": "$:/language/Buttons/Close/Caption",
"text": "close"
},
"$:/language/Buttons/Close/Hint": {
"title": "$:/language/Buttons/Close/Hint",
"text": "Close this tiddler"
},
"$:/language/Buttons/CloseAll/Caption": {
"title": "$:/language/Buttons/CloseAll/Caption",
"text": "close all"
},
"$:/language/Buttons/CloseAll/Hint": {
"title": "$:/language/Buttons/CloseAll/Hint",
"text": "Close all tiddlers"
},
"$:/language/Buttons/CloseOthers/Caption": {
"title": "$:/language/Buttons/CloseOthers/Caption",
"text": "close others"
},
"$:/language/Buttons/CloseOthers/Hint": {
"title": "$:/language/Buttons/CloseOthers/Hint",
"text": "Close other tiddlers"
},
"$:/language/Buttons/ControlPanel/Caption": {
"title": "$:/language/Buttons/ControlPanel/Caption",
"text": "control panel"
},
"$:/language/Buttons/ControlPanel/Hint": {
"title": "$:/language/Buttons/ControlPanel/Hint",
"text": "Open control panel"
},
"$:/language/Buttons/CopyToClipboard/Caption": {
"title": "$:/language/Buttons/CopyToClipboard/Caption",
"text": "copy to clipboard"
},
"$:/language/Buttons/CopyToClipboard/Hint": {
"title": "$:/language/Buttons/CopyToClipboard/Hint",
"text": "Copy this text to the clipboard"
},
"$:/language/Buttons/Delete/Caption": {
"title": "$:/language/Buttons/Delete/Caption",
"text": "delete"
},
"$:/language/Buttons/Delete/Hint": {
"title": "$:/language/Buttons/Delete/Hint",
"text": "Delete this tiddler"
},
"$:/language/Buttons/Edit/Caption": {
"title": "$:/language/Buttons/Edit/Caption",
"text": "edit"
},
"$:/language/Buttons/Edit/Hint": {
"title": "$:/language/Buttons/Edit/Hint",
"text": "Edit this tiddler"
},
"$:/language/Buttons/Encryption/Caption": {
"title": "$:/language/Buttons/Encryption/Caption",
"text": "encryption"
},
"$:/language/Buttons/Encryption/Hint": {
"title": "$:/language/Buttons/Encryption/Hint",
"text": "Set or clear a password for saving this wiki"
},
"$:/language/Buttons/Encryption/ClearPassword/Caption": {
"title": "$:/language/Buttons/Encryption/ClearPassword/Caption",
"text": "clear password"
},
"$:/language/Buttons/Encryption/ClearPassword/Hint": {
"title": "$:/language/Buttons/Encryption/ClearPassword/Hint",
"text": "Clear the password and save this wiki without encryption"
},
"$:/language/Buttons/Encryption/SetPassword/Caption": {
"title": "$:/language/Buttons/Encryption/SetPassword/Caption",
"text": "set password"
},
"$:/language/Buttons/Encryption/SetPassword/Hint": {
"title": "$:/language/Buttons/Encryption/SetPassword/Hint",
"text": "Set a password for saving this wiki with encryption"
},
"$:/language/Buttons/ExportPage/Caption": {
"title": "$:/language/Buttons/ExportPage/Caption",
"text": "export all"
},
"$:/language/Buttons/ExportPage/Hint": {
"title": "$:/language/Buttons/ExportPage/Hint",
"text": "Export all tiddlers"
},
"$:/language/Buttons/ExportTiddler/Caption": {
"title": "$:/language/Buttons/ExportTiddler/Caption",
"text": "export tiddler"
},
"$:/language/Buttons/ExportTiddler/Hint": {
"title": "$:/language/Buttons/ExportTiddler/Hint",
"text": "Export tiddler"
},
"$:/language/Buttons/ExportTiddlers/Caption": {
"title": "$:/language/Buttons/ExportTiddlers/Caption",
"text": "export tiddlers"
},
"$:/language/Buttons/ExportTiddlers/Hint": {
"title": "$:/language/Buttons/ExportTiddlers/Hint",
"text": "Export tiddlers"
},
"$:/language/Buttons/SidebarSearch/Hint": {
"title": "$:/language/Buttons/SidebarSearch/Hint",
"text": "Select the sidebar search field"
},
"$:/language/Buttons/Fold/Caption": {
"title": "$:/language/Buttons/Fold/Caption",
"text": "fold tiddler"
},
"$:/language/Buttons/Fold/Hint": {
"title": "$:/language/Buttons/Fold/Hint",
"text": "Fold the body of this tiddler"
},
"$:/language/Buttons/Fold/FoldBar/Caption": {
"title": "$:/language/Buttons/Fold/FoldBar/Caption",
"text": "fold-bar"
},
"$:/language/Buttons/Fold/FoldBar/Hint": {
"title": "$:/language/Buttons/Fold/FoldBar/Hint",
"text": "Optional bars to fold and unfold tiddlers"
},
"$:/language/Buttons/Unfold/Caption": {
"title": "$:/language/Buttons/Unfold/Caption",
"text": "unfold tiddler"
},
"$:/language/Buttons/Unfold/Hint": {
"title": "$:/language/Buttons/Unfold/Hint",
"text": "Unfold the body of this tiddler"
},
"$:/language/Buttons/FoldOthers/Caption": {
"title": "$:/language/Buttons/FoldOthers/Caption",
"text": "fold other tiddlers"
},
"$:/language/Buttons/FoldOthers/Hint": {
"title": "$:/language/Buttons/FoldOthers/Hint",
"text": "Fold the bodies of other opened tiddlers"
},
"$:/language/Buttons/FoldAll/Caption": {
"title": "$:/language/Buttons/FoldAll/Caption",
"text": "fold all tiddlers"
},
"$:/language/Buttons/FoldAll/Hint": {
"title": "$:/language/Buttons/FoldAll/Hint",
"text": "Fold the bodies of all opened tiddlers"
},
"$:/language/Buttons/UnfoldAll/Caption": {
"title": "$:/language/Buttons/UnfoldAll/Caption",
"text": "unfold all tiddlers"
},
"$:/language/Buttons/UnfoldAll/Hint": {
"title": "$:/language/Buttons/UnfoldAll/Hint",
"text": "Unfold the bodies of all opened tiddlers"
},
"$:/language/Buttons/FullScreen/Caption": {
"title": "$:/language/Buttons/FullScreen/Caption",
"text": "full-screen"
},
"$:/language/Buttons/FullScreen/Hint": {
"title": "$:/language/Buttons/FullScreen/Hint",
"text": "Enter or leave full-screen mode"
},
"$:/language/Buttons/Help/Caption": {
"title": "$:/language/Buttons/Help/Caption",
"text": "help"
},
"$:/language/Buttons/Help/Hint": {
"title": "$:/language/Buttons/Help/Hint",
"text": "Show help panel"
},
"$:/language/Buttons/Import/Caption": {
"title": "$:/language/Buttons/Import/Caption",
"text": "import"
},
"$:/language/Buttons/Import/Hint": {
"title": "$:/language/Buttons/Import/Hint",
"text": "Import many types of file including text, image, TiddlyWiki or JSON"
},
"$:/language/Buttons/Info/Caption": {
"title": "$:/language/Buttons/Info/Caption",
"text": "info"
},
"$:/language/Buttons/Info/Hint": {
"title": "$:/language/Buttons/Info/Hint",
"text": "Show information for this tiddler"
},
"$:/language/Buttons/Home/Caption": {
"title": "$:/language/Buttons/Home/Caption",
"text": "home"
},
"$:/language/Buttons/Home/Hint": {
"title": "$:/language/Buttons/Home/Hint",
"text": "Open the default tiddlers"
},
"$:/language/Buttons/Language/Caption": {
"title": "$:/language/Buttons/Language/Caption",
"text": "language"
},
"$:/language/Buttons/Language/Hint": {
"title": "$:/language/Buttons/Language/Hint",
"text": "Choose the user interface language"
},
"$:/language/Buttons/Manager/Caption": {
"title": "$:/language/Buttons/Manager/Caption",
"text": "tiddler manager"
},
"$:/language/Buttons/Manager/Hint": {
"title": "$:/language/Buttons/Manager/Hint",
"text": "Open tiddler manager"
},
"$:/language/Buttons/More/Caption": {
"title": "$:/language/Buttons/More/Caption",
"text": "more"
},
"$:/language/Buttons/More/Hint": {
"title": "$:/language/Buttons/More/Hint",
"text": "More actions"
},
"$:/language/Buttons/NewHere/Caption": {
"title": "$:/language/Buttons/NewHere/Caption",
"text": "new here"
},
"$:/language/Buttons/NewHere/Hint": {
"title": "$:/language/Buttons/NewHere/Hint",
"text": "Create a new tiddler tagged with this one"
},
"$:/language/Buttons/NewJournal/Caption": {
"title": "$:/language/Buttons/NewJournal/Caption",
"text": "new journal"
},
"$:/language/Buttons/NewJournal/Hint": {
"title": "$:/language/Buttons/NewJournal/Hint",
"text": "Create a new journal tiddler"
},
"$:/language/Buttons/NewJournalHere/Caption": {
"title": "$:/language/Buttons/NewJournalHere/Caption",
"text": "new journal here"
},
"$:/language/Buttons/NewJournalHere/Hint": {
"title": "$:/language/Buttons/NewJournalHere/Hint",
"text": "Create a new journal tiddler tagged with this one"
},
"$:/language/Buttons/NewImage/Caption": {
"title": "$:/language/Buttons/NewImage/Caption",
"text": "new image"
},
"$:/language/Buttons/NewImage/Hint": {
"title": "$:/language/Buttons/NewImage/Hint",
"text": "Create a new image tiddler"
},
"$:/language/Buttons/NewMarkdown/Caption": {
"title": "$:/language/Buttons/NewMarkdown/Caption",
"text": "new Markdown tiddler"
},
"$:/language/Buttons/NewMarkdown/Hint": {
"title": "$:/language/Buttons/NewMarkdown/Hint",
"text": "Create a new Markdown tiddler"
},
"$:/language/Buttons/NewTiddler/Caption": {
"title": "$:/language/Buttons/NewTiddler/Caption",
"text": "new tiddler"
},
"$:/language/Buttons/NewTiddler/Hint": {
"title": "$:/language/Buttons/NewTiddler/Hint",
"text": "Create a new tiddler"
},
"$:/language/Buttons/OpenWindow/Caption": {
"title": "$:/language/Buttons/OpenWindow/Caption",
"text": "open in new window"
},
"$:/language/Buttons/OpenWindow/Hint": {
"title": "$:/language/Buttons/OpenWindow/Hint",
"text": "Open tiddler in new window"
},
"$:/language/Buttons/Palette/Caption": {
"title": "$:/language/Buttons/Palette/Caption",
"text": "palette"
},
"$:/language/Buttons/Palette/Hint": {
"title": "$:/language/Buttons/Palette/Hint",
"text": "Choose the colour palette"
},
"$:/language/Buttons/Permalink/Caption": {
"title": "$:/language/Buttons/Permalink/Caption",
"text": "permalink"
},
"$:/language/Buttons/Permalink/Hint": {
"title": "$:/language/Buttons/Permalink/Hint",
"text": "Set browser address bar to a direct link to this tiddler"
},
"$:/language/Buttons/Permaview/Caption": {
"title": "$:/language/Buttons/Permaview/Caption",
"text": "permaview"
},
"$:/language/Buttons/Permaview/Hint": {
"title": "$:/language/Buttons/Permaview/Hint",
"text": "Set browser address bar to a direct link to all the tiddlers in this story"
},
"$:/language/Buttons/Print/Caption": {
"title": "$:/language/Buttons/Print/Caption",
"text": "print page"
},
"$:/language/Buttons/Print/Hint": {
"title": "$:/language/Buttons/Print/Hint",
"text": "Print the current page"
},
"$:/language/Buttons/Refresh/Caption": {
"title": "$:/language/Buttons/Refresh/Caption",
"text": "refresh"
},
"$:/language/Buttons/Refresh/Hint": {
"title": "$:/language/Buttons/Refresh/Hint",
"text": "Perform a full refresh of the wiki"
},
"$:/language/Buttons/Save/Caption": {
"title": "$:/language/Buttons/Save/Caption",
"text": "ok"
},
"$:/language/Buttons/Save/Hint": {
"title": "$:/language/Buttons/Save/Hint",
"text": "Confirm changes to this tiddler"
},
"$:/language/Buttons/SaveWiki/Caption": {
"title": "$:/language/Buttons/SaveWiki/Caption",
"text": "save changes"
},
"$:/language/Buttons/SaveWiki/Hint": {
"title": "$:/language/Buttons/SaveWiki/Hint",
"text": "Save changes"
},
"$:/language/Buttons/StoryView/Caption": {
"title": "$:/language/Buttons/StoryView/Caption",
"text": "storyview"
},
"$:/language/Buttons/StoryView/Hint": {
"title": "$:/language/Buttons/StoryView/Hint",
"text": "Choose the story visualisation"
},
"$:/language/Buttons/HideSideBar/Caption": {
"title": "$:/language/Buttons/HideSideBar/Caption",
"text": "hide sidebar"
},
"$:/language/Buttons/HideSideBar/Hint": {
"title": "$:/language/Buttons/HideSideBar/Hint",
"text": "Hide sidebar"
},
"$:/language/Buttons/ShowSideBar/Caption": {
"title": "$:/language/Buttons/ShowSideBar/Caption",
"text": "show sidebar"
},
"$:/language/Buttons/ShowSideBar/Hint": {
"title": "$:/language/Buttons/ShowSideBar/Hint",
"text": "Show sidebar"
},
"$:/language/Buttons/TagManager/Caption": {
"title": "$:/language/Buttons/TagManager/Caption",
"text": "tag manager"
},
"$:/language/Buttons/TagManager/Hint": {
"title": "$:/language/Buttons/TagManager/Hint",
"text": "Open tag manager"
},
"$:/language/Buttons/Timestamp/Caption": {
"title": "$:/language/Buttons/Timestamp/Caption",
"text": "timestamps"
},
"$:/language/Buttons/Timestamp/Hint": {
"title": "$:/language/Buttons/Timestamp/Hint",
"text": "Choose whether modifications update timestamps"
},
"$:/language/Buttons/Timestamp/On/Caption": {
"title": "$:/language/Buttons/Timestamp/On/Caption",
"text": "timestamps are on"
},
"$:/language/Buttons/Timestamp/On/Hint": {
"title": "$:/language/Buttons/Timestamp/On/Hint",
"text": "Update timestamps when tiddlers are modified"
},
"$:/language/Buttons/Timestamp/Off/Caption": {
"title": "$:/language/Buttons/Timestamp/Off/Caption",
"text": "timestamps are off"
},
"$:/language/Buttons/Timestamp/Off/Hint": {
"title": "$:/language/Buttons/Timestamp/Off/Hint",
"text": "Don't update timestamps when tiddlers are modified"
},
"$:/language/Buttons/Theme/Caption": {
"title": "$:/language/Buttons/Theme/Caption",
"text": "theme"
},
"$:/language/Buttons/Theme/Hint": {
"title": "$:/language/Buttons/Theme/Hint",
"text": "Choose the display theme"
},
"$:/language/Buttons/Bold/Caption": {
"title": "$:/language/Buttons/Bold/Caption",
"text": "bold"
},
"$:/language/Buttons/Bold/Hint": {
"title": "$:/language/Buttons/Bold/Hint",
"text": "Apply bold formatting to selection"
},
"$:/language/Buttons/Clear/Caption": {
"title": "$:/language/Buttons/Clear/Caption",
"text": "clear"
},
"$:/language/Buttons/Clear/Hint": {
"title": "$:/language/Buttons/Clear/Hint",
"text": "Clear image to solid colour"
},
"$:/language/Buttons/EditorHeight/Caption": {
"title": "$:/language/Buttons/EditorHeight/Caption",
"text": "editor height"
},
"$:/language/Buttons/EditorHeight/Caption/Auto": {
"title": "$:/language/Buttons/EditorHeight/Caption/Auto",
"text": "Automatically adjust height to fit content"
},
"$:/language/Buttons/EditorHeight/Caption/Fixed": {
"title": "$:/language/Buttons/EditorHeight/Caption/Fixed",
"text": "Fixed height:"
},
"$:/language/Buttons/EditorHeight/Hint": {
"title": "$:/language/Buttons/EditorHeight/Hint",
"text": "Choose the height of the text editor"
},
"$:/language/Buttons/Excise/Caption": {
"title": "$:/language/Buttons/Excise/Caption",
"text": "excise"
},
"$:/language/Buttons/Excise/Caption/Excise": {
"title": "$:/language/Buttons/Excise/Caption/Excise",
"text": "Perform excision"
},
"$:/language/Buttons/Excise/Caption/MacroName": {
"title": "$:/language/Buttons/Excise/Caption/MacroName",
"text": "Macro name:"
},
"$:/language/Buttons/Excise/Caption/NewTitle": {
"title": "$:/language/Buttons/Excise/Caption/NewTitle",
"text": "Title of new tiddler:"
},
"$:/language/Buttons/Excise/Caption/Replace": {
"title": "$:/language/Buttons/Excise/Caption/Replace",
"text": "Replace excised text with:"
},
"$:/language/Buttons/Excise/Caption/Replace/Macro": {
"title": "$:/language/Buttons/Excise/Caption/Replace/Macro",
"text": "macro"
},
"$:/language/Buttons/Excise/Caption/Replace/Link": {
"title": "$:/language/Buttons/Excise/Caption/Replace/Link",
"text": "link"
},
"$:/language/Buttons/Excise/Caption/Replace/Transclusion": {
"title": "$:/language/Buttons/Excise/Caption/Replace/Transclusion",
"text": "transclusion"
},
"$:/language/Buttons/Excise/Caption/Tag": {
"title": "$:/language/Buttons/Excise/Caption/Tag",
"text": "Tag new tiddler with the title of this tiddler"
},
"$:/language/Buttons/Excise/Caption/TiddlerExists": {
"title": "$:/language/Buttons/Excise/Caption/TiddlerExists",
"text": "Warning: tiddler already exists"
},
"$:/language/Buttons/Excise/Hint": {
"title": "$:/language/Buttons/Excise/Hint",
"text": "Excise the selected text into a new tiddler"
},
"$:/language/Buttons/Heading1/Caption": {
"title": "$:/language/Buttons/Heading1/Caption",
"text": "heading 1"
},
"$:/language/Buttons/Heading1/Hint": {
"title": "$:/language/Buttons/Heading1/Hint",
"text": "Apply heading level 1 formatting to lines containing selection"
},
"$:/language/Buttons/Heading2/Caption": {
"title": "$:/language/Buttons/Heading2/Caption",
"text": "heading 2"
},
"$:/language/Buttons/Heading2/Hint": {
"title": "$:/language/Buttons/Heading2/Hint",
"text": "Apply heading level 2 formatting to lines containing selection"
},
"$:/language/Buttons/Heading3/Caption": {
"title": "$:/language/Buttons/Heading3/Caption",
"text": "heading 3"
},
"$:/language/Buttons/Heading3/Hint": {
"title": "$:/language/Buttons/Heading3/Hint",
"text": "Apply heading level 3 formatting to lines containing selection"
},
"$:/language/Buttons/Heading4/Caption": {
"title": "$:/language/Buttons/Heading4/Caption",
"text": "heading 4"
},
"$:/language/Buttons/Heading4/Hint": {
"title": "$:/language/Buttons/Heading4/Hint",
"text": "Apply heading level 4 formatting to lines containing selection"
},
"$:/language/Buttons/Heading5/Caption": {
"title": "$:/language/Buttons/Heading5/Caption",
"text": "heading 5"
},
"$:/language/Buttons/Heading5/Hint": {
"title": "$:/language/Buttons/Heading5/Hint",
"text": "Apply heading level 5 formatting to lines containing selection"
},
"$:/language/Buttons/Heading6/Caption": {
"title": "$:/language/Buttons/Heading6/Caption",
"text": "heading 6"
},
"$:/language/Buttons/Heading6/Hint": {
"title": "$:/language/Buttons/Heading6/Hint",
"text": "Apply heading level 6 formatting to lines containing selection"
},
"$:/language/Buttons/Italic/Caption": {
"title": "$:/language/Buttons/Italic/Caption",
"text": "italic"
},
"$:/language/Buttons/Italic/Hint": {
"title": "$:/language/Buttons/Italic/Hint",
"text": "Apply italic formatting to selection"
},
"$:/language/Buttons/LineWidth/Caption": {
"title": "$:/language/Buttons/LineWidth/Caption",
"text": "line width"
},
"$:/language/Buttons/LineWidth/Hint": {
"title": "$:/language/Buttons/LineWidth/Hint",
"text": "Set line width for painting"
},
"$:/language/Buttons/Link/Caption": {
"title": "$:/language/Buttons/Link/Caption",
"text": "link"
},
"$:/language/Buttons/Link/Hint": {
"title": "$:/language/Buttons/Link/Hint",
"text": "Create wikitext link"
},
"$:/language/Buttons/Linkify/Caption": {
"title": "$:/language/Buttons/Linkify/Caption",
"text": "wikilink"
},
"$:/language/Buttons/Linkify/Hint": {
"title": "$:/language/Buttons/Linkify/Hint",
"text": "Wrap selection in square brackets"
},
"$:/language/Buttons/ListBullet/Caption": {
"title": "$:/language/Buttons/ListBullet/Caption",
"text": "bulleted list"
},
"$:/language/Buttons/ListBullet/Hint": {
"title": "$:/language/Buttons/ListBullet/Hint",
"text": "Apply bulleted list formatting to lines containing selection"
},
"$:/language/Buttons/ListNumber/Caption": {
"title": "$:/language/Buttons/ListNumber/Caption",
"text": "numbered list"
},
"$:/language/Buttons/ListNumber/Hint": {
"title": "$:/language/Buttons/ListNumber/Hint",
"text": "Apply numbered list formatting to lines containing selection"
},
"$:/language/Buttons/MonoBlock/Caption": {
"title": "$:/language/Buttons/MonoBlock/Caption",
"text": "monospaced block"
},
"$:/language/Buttons/MonoBlock/Hint": {
"title": "$:/language/Buttons/MonoBlock/Hint",
"text": "Apply monospaced block formatting to lines containing selection"
},
"$:/language/Buttons/MonoLine/Caption": {
"title": "$:/language/Buttons/MonoLine/Caption",
"text": "monospaced"
},
"$:/language/Buttons/MonoLine/Hint": {
"title": "$:/language/Buttons/MonoLine/Hint",
"text": "Apply monospaced character formatting to selection"
},
"$:/language/Buttons/Opacity/Caption": {
"title": "$:/language/Buttons/Opacity/Caption",
"text": "opacity"
},
"$:/language/Buttons/Opacity/Hint": {
"title": "$:/language/Buttons/Opacity/Hint",
"text": "Set painting opacity"
},
"$:/language/Buttons/Paint/Caption": {
"title": "$:/language/Buttons/Paint/Caption",
"text": "paint colour"
},
"$:/language/Buttons/Paint/Hint": {
"title": "$:/language/Buttons/Paint/Hint",
"text": "Set painting colour"
},
"$:/language/Buttons/Picture/Caption": {
"title": "$:/language/Buttons/Picture/Caption",
"text": "picture"
},
"$:/language/Buttons/Picture/Hint": {
"title": "$:/language/Buttons/Picture/Hint",
"text": "Insert picture"
},
"$:/language/Buttons/Preview/Caption": {
"title": "$:/language/Buttons/Preview/Caption",
"text": "preview"
},
"$:/language/Buttons/Preview/Hint": {
"title": "$:/language/Buttons/Preview/Hint",
"text": "Show preview pane"
},
"$:/language/Buttons/PreviewType/Caption": {
"title": "$:/language/Buttons/PreviewType/Caption",
"text": "preview type"
},
"$:/language/Buttons/PreviewType/Hint": {
"title": "$:/language/Buttons/PreviewType/Hint",
"text": "Choose preview type"
},
"$:/language/Buttons/Quote/Caption": {
"title": "$:/language/Buttons/Quote/Caption",
"text": "quote"
},
"$:/language/Buttons/Quote/Hint": {
"title": "$:/language/Buttons/Quote/Hint",
"text": "Apply quoted text formatting to lines containing selection"
},
"$:/language/Buttons/RotateLeft/Caption": {
"title": "$:/language/Buttons/RotateLeft/Caption",
"text": "rotate left"
},
"$:/language/Buttons/RotateLeft/Hint": {
"title": "$:/language/Buttons/RotateLeft/Hint",
"text": "Rotate image left by 90 degrees"
},
"$:/language/Buttons/Size/Caption": {
"title": "$:/language/Buttons/Size/Caption",
"text": "image size"
},
"$:/language/Buttons/Size/Caption/Height": {
"title": "$:/language/Buttons/Size/Caption/Height",
"text": "Height:"
},
"$:/language/Buttons/Size/Caption/Resize": {
"title": "$:/language/Buttons/Size/Caption/Resize",
"text": "Resize image"
},
"$:/language/Buttons/Size/Caption/Width": {
"title": "$:/language/Buttons/Size/Caption/Width",
"text": "Width:"
},
"$:/language/Buttons/Size/Hint": {
"title": "$:/language/Buttons/Size/Hint",
"text": "Set image size"
},
"$:/language/Buttons/Stamp/Caption": {
"title": "$:/language/Buttons/Stamp/Caption",
"text": "stamp"
},
"$:/language/Buttons/Stamp/Caption/New": {
"title": "$:/language/Buttons/Stamp/Caption/New",
"text": "Add your own"
},
"$:/language/Buttons/Stamp/Hint": {
"title": "$:/language/Buttons/Stamp/Hint",
"text": "Insert a preconfigured snippet of text"
},
"$:/language/Buttons/Stamp/New/Title": {
"title": "$:/language/Buttons/Stamp/New/Title",
"text": "Name as shown in menu"
},
"$:/language/Buttons/Stamp/New/Text": {
"title": "$:/language/Buttons/Stamp/New/Text",
"text": "Text of snippet. (Remember to add a descriptive title in the caption field)."
},
"$:/language/Buttons/Strikethrough/Caption": {
"title": "$:/language/Buttons/Strikethrough/Caption",
"text": "strikethrough"
},
"$:/language/Buttons/Strikethrough/Hint": {
"title": "$:/language/Buttons/Strikethrough/Hint",
"text": "Apply strikethrough formatting to selection"
},
"$:/language/Buttons/Subscript/Caption": {
"title": "$:/language/Buttons/Subscript/Caption",
"text": "subscript"
},
"$:/language/Buttons/Subscript/Hint": {
"title": "$:/language/Buttons/Subscript/Hint",
"text": "Apply subscript formatting to selection"
},
"$:/language/Buttons/Superscript/Caption": {
"title": "$:/language/Buttons/Superscript/Caption",
"text": "superscript"
},
"$:/language/Buttons/Superscript/Hint": {
"title": "$:/language/Buttons/Superscript/Hint",
"text": "Apply superscript formatting to selection"
},
"$:/language/Buttons/ToggleSidebar/Hint": {
"title": "$:/language/Buttons/ToggleSidebar/Hint",
"text": "Toggle the sidebar visibility"
},
"$:/language/Buttons/Transcludify/Caption": {
"title": "$:/language/Buttons/Transcludify/Caption",
"text": "transclusion"
},
"$:/language/Buttons/Transcludify/Hint": {
"title": "$:/language/Buttons/Transcludify/Hint",
"text": "Wrap selection in curly brackets"
},
"$:/language/Buttons/Underline/Caption": {
"title": "$:/language/Buttons/Underline/Caption",
"text": "underline"
},
"$:/language/Buttons/Underline/Hint": {
"title": "$:/language/Buttons/Underline/Hint",
"text": "Apply underline formatting to selection"
},
"$:/language/ControlPanel/Advanced/Caption": {
"title": "$:/language/ControlPanel/Advanced/Caption",
"text": "Advanced"
},
"$:/language/ControlPanel/Advanced/Hint": {
"title": "$:/language/ControlPanel/Advanced/Hint",
"text": "Internal information about this TiddlyWiki"
},
"$:/language/ControlPanel/Appearance/Caption": {
"title": "$:/language/ControlPanel/Appearance/Caption",
"text": "Appearance"
},
"$:/language/ControlPanel/Appearance/Hint": {
"title": "$:/language/ControlPanel/Appearance/Hint",
"text": "Ways to customise the appearance of your TiddlyWiki."
},
"$:/language/ControlPanel/Basics/AnimDuration/Prompt": {
"title": "$:/language/ControlPanel/Basics/AnimDuration/Prompt",
"text": "Animation duration"
},
"$:/language/ControlPanel/Basics/AutoFocus/Prompt": {
"title": "$:/language/ControlPanel/Basics/AutoFocus/Prompt",
"text": "Default focus field for new tiddlers"
},
"$:/language/ControlPanel/Basics/Caption": {
"title": "$:/language/ControlPanel/Basics/Caption",
"text": "Basics"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint",
"text": "Use [[double square brackets]] for titles with spaces. Or you can choose to <$button set=\"$:/DefaultTiddlers\" setTo=\"[list[$:/StoryList]]\">retain story ordering</$button>"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt",
"text": "Default tiddlers"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint",
"text": "Choose which tiddlers are displayed at startup"
},
"$:/language/ControlPanel/Basics/Language/Prompt": {
"title": "$:/language/ControlPanel/Basics/Language/Prompt",
"text": "Hello! Current language:"
},
"$:/language/ControlPanel/Basics/NewJournal/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Title/Prompt",
"text": "Title of new journal tiddlers"
},
"$:/language/ControlPanel/Basics/NewJournal/Text/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Text/Prompt",
"text": "Text for new journal tiddlers"
},
"$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt",
"text": "Tags for new journal tiddlers"
},
"$:/language/ControlPanel/Basics/NewTiddler/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewTiddler/Title/Prompt",
"text": "Title of new tiddlers"
},
"$:/language/ControlPanel/Basics/NewTiddler/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewTiddler/Tags/Prompt",
"text": "Tags for new tiddlers"
},
"$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt",
"text": "Number of overridden shadow tiddlers"
},
"$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt",
"text": "Number of shadow tiddlers"
},
"$:/language/ControlPanel/Basics/Subtitle/Prompt": {
"title": "$:/language/ControlPanel/Basics/Subtitle/Prompt",
"text": "Subtitle"
},
"$:/language/ControlPanel/Basics/SystemTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/SystemTiddlers/Prompt",
"text": "Number of system tiddlers"
},
"$:/language/ControlPanel/Basics/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/Tags/Prompt",
"text": "Number of tags"
},
"$:/language/ControlPanel/Basics/Tiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/Tiddlers/Prompt",
"text": "Number of tiddlers"
},
"$:/language/ControlPanel/Basics/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/Title/Prompt",
"text": "Title of this ~TiddlyWiki"
},
"$:/language/ControlPanel/Basics/Username/Prompt": {
"title": "$:/language/ControlPanel/Basics/Username/Prompt",
"text": "Username for signing edits"
},
"$:/language/ControlPanel/Basics/Version/Prompt": {
"title": "$:/language/ControlPanel/Basics/Version/Prompt",
"text": "~TiddlyWiki version"
},
"$:/language/ControlPanel/EditorTypes/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Caption",
"text": "Editor Types"
},
"$:/language/ControlPanel/EditorTypes/Editor/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Editor/Caption",
"text": "Editor"
},
"$:/language/ControlPanel/EditorTypes/Hint": {
"title": "$:/language/ControlPanel/EditorTypes/Hint",
"text": "These tiddlers determine which editor is used to edit specific tiddler types."
},
"$:/language/ControlPanel/EditorTypes/Type/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Type/Caption",
"text": "Type"
},
"$:/language/ControlPanel/Info/Caption": {
"title": "$:/language/ControlPanel/Info/Caption",
"text": "Info"
},
"$:/language/ControlPanel/Info/Hint": {
"title": "$:/language/ControlPanel/Info/Hint",
"text": "Information about this TiddlyWiki"
},
"$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt",
"text": "Type shortcut here"
},
"$:/language/ControlPanel/KeyboardShortcuts/Add/Caption": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Add/Caption",
"text": "add shortcut"
},
"$:/language/ControlPanel/KeyboardShortcuts/Caption": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Caption",
"text": "Keyboard Shortcuts"
},
"$:/language/ControlPanel/KeyboardShortcuts/Hint": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Hint",
"text": "Manage keyboard shortcut assignments"
},
"$:/language/ControlPanel/KeyboardShortcuts/NoShortcuts/Caption": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/NoShortcuts/Caption",
"text": "No keyboard shortcuts assigned"
},
"$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint",
"text": "remove keyboard shortcut"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/All": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/All",
"text": "All platforms"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/Mac": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Mac",
"text": "Macintosh platform only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonMac": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonMac",
"text": "Non-Macintosh platforms only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/Linux": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Linux",
"text": "Linux platform only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonLinux": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonLinux",
"text": "Non-Linux platforms only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/Windows": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Windows",
"text": "Windows platform only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonWindows": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonWindows",
"text": "Non-Windows platforms only"
},
"$:/language/ControlPanel/LoadedModules/Caption": {
"title": "$:/language/ControlPanel/LoadedModules/Caption",
"text": "Loaded Modules"
},
"$:/language/ControlPanel/LoadedModules/Hint": {
"title": "$:/language/ControlPanel/LoadedModules/Hint",
"text": "These are the currently loaded tiddler modules linked to their source tiddlers. Any italicised modules lack a source tiddler, typically because they were setup during the boot process."
},
"$:/language/ControlPanel/Palette/Caption": {
"title": "$:/language/ControlPanel/Palette/Caption",
"text": "Palette"
},
"$:/language/ControlPanel/Palette/Editor/Clone/Caption": {
"title": "$:/language/ControlPanel/Palette/Editor/Clone/Caption",
"text": "clone"
},
"$:/language/ControlPanel/Palette/Editor/Clone/Prompt": {
"title": "$:/language/ControlPanel/Palette/Editor/Clone/Prompt",
"text": "It is recommended that you clone this shadow palette before editing it"
},
"$:/language/ControlPanel/Palette/Editor/Delete/Hint": {
"title": "$:/language/ControlPanel/Palette/Editor/Delete/Hint",
"text": "delete this entry from the current palette"
},
"$:/language/ControlPanel/Palette/Editor/Names/External/Show": {
"title": "$:/language/ControlPanel/Palette/Editor/Names/External/Show",
"text": "Show color names that are not part of the current palette"
},
"$:/language/ControlPanel/Palette/Editor/Prompt/Modified": {
"title": "$:/language/ControlPanel/Palette/Editor/Prompt/Modified",
"text": "This shadow palette has been modified"
},
"$:/language/ControlPanel/Palette/Editor/Prompt": {
"title": "$:/language/ControlPanel/Palette/Editor/Prompt",
"text": "Editing"
},
"$:/language/ControlPanel/Palette/Editor/Reset/Caption": {
"title": "$:/language/ControlPanel/Palette/Editor/Reset/Caption",
"text": "reset"
},
"$:/language/ControlPanel/Palette/HideEditor/Caption": {
"title": "$:/language/ControlPanel/Palette/HideEditor/Caption",
"text": "hide editor"
},
"$:/language/ControlPanel/Palette/Prompt": {
"title": "$:/language/ControlPanel/Palette/Prompt",
"text": "Current palette:"
},
"$:/language/ControlPanel/Palette/ShowEditor/Caption": {
"title": "$:/language/ControlPanel/Palette/ShowEditor/Caption",
"text": "show editor"
},
"$:/language/ControlPanel/Parsing/Caption": {
"title": "$:/language/ControlPanel/Parsing/Caption",
"text": "Parsing"
},
"$:/language/ControlPanel/Parsing/Hint": {
"title": "$:/language/ControlPanel/Parsing/Hint",
"text": "Here you can globally disable/enable wiki parser rules. For changes to take effect, save and reload your wiki. Disabling certain parser rules can prevent <$text text=\"TiddlyWiki\"/> from functioning correctly. Use [[safe mode|https://tiddlywiki.com/#SafeMode]] to restore normal operation."
},
"$:/language/ControlPanel/Parsing/Block/Caption": {
"title": "$:/language/ControlPanel/Parsing/Block/Caption",
"text": "Block Parse Rules"
},
"$:/language/ControlPanel/Parsing/Inline/Caption": {
"title": "$:/language/ControlPanel/Parsing/Inline/Caption",
"text": "Inline Parse Rules"
},
"$:/language/ControlPanel/Parsing/Pragma/Caption": {
"title": "$:/language/ControlPanel/Parsing/Pragma/Caption",
"text": "Pragma Parse Rules"
},
"$:/language/ControlPanel/Plugins/Add/Caption": {
"title": "$:/language/ControlPanel/Plugins/Add/Caption",
"text": "Get more plugins"
},
"$:/language/ControlPanel/Plugins/Add/Hint": {
"title": "$:/language/ControlPanel/Plugins/Add/Hint",
"text": "Install plugins from the official library"
},
"$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint": {
"title": "$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint",
"text": "This plugin is already installed at version <$text text=<<installedVersion>>/>"
},
"$:/language/ControlPanel/Plugins/AlsoRequires": {
"title": "$:/language/ControlPanel/Plugins/AlsoRequires",
"text": "Also requires:"
},
"$:/language/ControlPanel/Plugins/Caption": {
"title": "$:/language/ControlPanel/Plugins/Caption",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Disable/Caption": {
"title": "$:/language/ControlPanel/Plugins/Disable/Caption",
"text": "disable"
},
"$:/language/ControlPanel/Plugins/Disable/Hint": {
"title": "$:/language/ControlPanel/Plugins/Disable/Hint",
"text": "Disable this plugin when reloading page"
},
"$:/language/ControlPanel/Plugins/Disabled/Status": {
"title": "$:/language/ControlPanel/Plugins/Disabled/Status",
"text": "(disabled)"
},
"$:/language/ControlPanel/Plugins/Downgrade/Caption": {
"title": "$:/language/ControlPanel/Plugins/Downgrade/Caption",
"text": "downgrade"
},
"$:/language/ControlPanel/Plugins/Empty/Hint": {
"title": "$:/language/ControlPanel/Plugins/Empty/Hint",
"text": "None"
},
"$:/language/ControlPanel/Plugins/Enable/Caption": {
"title": "$:/language/ControlPanel/Plugins/Enable/Caption",
"text": "enable"
},
"$:/language/ControlPanel/Plugins/Enable/Hint": {
"title": "$:/language/ControlPanel/Plugins/Enable/Hint",
"text": "Enable this plugin when reloading page"
},
"$:/language/ControlPanel/Plugins/Install/Caption": {
"title": "$:/language/ControlPanel/Plugins/Install/Caption",
"text": "install"
},
"$:/language/ControlPanel/Plugins/Installed/Hint": {
"title": "$:/language/ControlPanel/Plugins/Installed/Hint",
"text": "Currently installed plugins:"
},
"$:/language/ControlPanel/Plugins/Languages/Caption": {
"title": "$:/language/ControlPanel/Plugins/Languages/Caption",
"text": "Languages"
},
"$:/language/ControlPanel/Plugins/Languages/Hint": {
"title": "$:/language/ControlPanel/Plugins/Languages/Hint",
"text": "Language pack plugins"
},
"$:/language/ControlPanel/Plugins/NoInfoFound/Hint": {
"title": "$:/language/ControlPanel/Plugins/NoInfoFound/Hint",
"text": "No ''\"<$text text=<<currentTab>>/>\"'' found"
},
"$:/language/ControlPanel/Plugins/NotInstalled/Hint": {
"title": "$:/language/ControlPanel/Plugins/NotInstalled/Hint",
"text": "This plugin is not currently installed"
},
"$:/language/ControlPanel/Plugins/OpenPluginLibrary": {
"title": "$:/language/ControlPanel/Plugins/OpenPluginLibrary",
"text": "open plugin library"
},
"$:/language/ControlPanel/Plugins/ClosePluginLibrary": {
"title": "$:/language/ControlPanel/Plugins/ClosePluginLibrary",
"text": "close plugin library"
},
"$:/language/ControlPanel/Plugins/PluginWillRequireReload": {
"title": "$:/language/ControlPanel/Plugins/PluginWillRequireReload",
"text": "(requires reload)"
},
"$:/language/ControlPanel/Plugins/Plugins/Caption": {
"title": "$:/language/ControlPanel/Plugins/Plugins/Caption",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Plugins/Hint": {
"title": "$:/language/ControlPanel/Plugins/Plugins/Hint",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Reinstall/Caption": {
"title": "$:/language/ControlPanel/Plugins/Reinstall/Caption",
"text": "reinstall"
},
"$:/language/ControlPanel/Plugins/Themes/Caption": {
"title": "$:/language/ControlPanel/Plugins/Themes/Caption",
"text": "Themes"
},
"$:/language/ControlPanel/Plugins/Themes/Hint": {
"title": "$:/language/ControlPanel/Plugins/Themes/Hint",
"text": "Theme plugins"
},
"$:/language/ControlPanel/Plugins/Update/Caption": {
"title": "$:/language/ControlPanel/Plugins/Update/Caption",
"text": "update"
},
"$:/language/ControlPanel/Plugins/Updates/Caption": {
"title": "$:/language/ControlPanel/Plugins/Updates/Caption",
"text": "Updates"
},
"$:/language/ControlPanel/Plugins/Updates/Hint": {
"title": "$:/language/ControlPanel/Plugins/Updates/Hint",
"text": "Available updates to installed plugins"
},
"$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption": {
"title": "$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption",
"text": "Update <<update-count>> plugins"
},
"$:/language/ControlPanel/Plugins/SubPluginPrompt": {
"title": "$:/language/ControlPanel/Plugins/SubPluginPrompt",
"text": "With <<count>> sub-plugins available"
},
"$:/language/ControlPanel/Saving/Caption": {
"title": "$:/language/ControlPanel/Saving/Caption",
"text": "Saving"
},
"$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Description": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Description",
"text": "Permit automatic saving for the download saver"
},
"$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Hint": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Hint",
"text": "Enable Autosave for Download Saver"
},
"$:/language/ControlPanel/Saving/DownloadSaver/Caption": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/Caption",
"text": "Download Saver"
},
"$:/language/ControlPanel/Saving/DownloadSaver/Hint": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/Hint",
"text": "These settings apply to the HTML5-compatible download saver"
},
"$:/language/ControlPanel/Saving/General/Caption": {
"title": "$:/language/ControlPanel/Saving/General/Caption",
"text": "General"
},
"$:/language/ControlPanel/Saving/General/Hint": {
"title": "$:/language/ControlPanel/Saving/General/Hint",
"text": "These settings apply to all the loaded savers"
},
"$:/language/ControlPanel/Saving/Hint": {
"title": "$:/language/ControlPanel/Saving/Hint",
"text": "Settings used for saving the entire TiddlyWiki as a single file via a saver module"
},
"$:/language/ControlPanel/Saving/GitService/Branch": {
"title": "$:/language/ControlPanel/Saving/GitService/Branch",
"text": "Target branch for saving"
},
"$:/language/ControlPanel/Saving/GitService/CommitMessage": {
"title": "$:/language/ControlPanel/Saving/GitService/CommitMessage",
"text": "Saved by TiddlyWiki"
},
"$:/language/ControlPanel/Saving/GitService/Description": {
"title": "$:/language/ControlPanel/Saving/GitService/Description",
"text": "These settings are only used when saving to <<service-name>>"
},
"$:/language/ControlPanel/Saving/GitService/Filename": {
"title": "$:/language/ControlPanel/Saving/GitService/Filename",
"text": "Filename of target file (e.g. `index.html`)"
},
"$:/language/ControlPanel/Saving/GitService/Path": {
"title": "$:/language/ControlPanel/Saving/GitService/Path",
"text": "Path to target file (e.g. `/wiki/`)"
},
"$:/language/ControlPanel/Saving/GitService/Repo": {
"title": "$:/language/ControlPanel/Saving/GitService/Repo",
"text": "Target repository (e.g. `Jermolene/TiddlyWiki5`)"
},
"$:/language/ControlPanel/Saving/GitService/ServerURL": {
"title": "$:/language/ControlPanel/Saving/GitService/ServerURL",
"text": "Server API URL"
},
"$:/language/ControlPanel/Saving/GitService/UserName": {
"title": "$:/language/ControlPanel/Saving/GitService/UserName",
"text": "Username"
},
"$:/language/ControlPanel/Saving/GitService/GitHub/Caption": {
"title": "$:/language/ControlPanel/Saving/GitService/GitHub/Caption",
"text": "~GitHub Saver"
},
"$:/language/ControlPanel/Saving/GitService/GitHub/Password": {
"title": "$:/language/ControlPanel/Saving/GitService/GitHub/Password",
"text": "Password, OAUTH token, or personal access token (see [[GitHub help page|https://help.github.com/en/articles/creating-a-personal-access-token-for-the-command-line]] for details)"
},
"$:/language/ControlPanel/Saving/GitService/GitLab/Caption": {
"title": "$:/language/ControlPanel/Saving/GitService/GitLab/Caption",
"text": "~GitLab Saver"
},
"$:/language/ControlPanel/Saving/GitService/GitLab/Password": {
"title": "$:/language/ControlPanel/Saving/GitService/GitLab/Password",
"text": "Personal access token for API (see [[GitLab help page|https://docs.gitlab.com/ee/user/profile/personal_access_tokens.html]] for details)"
},
"$:/language/ControlPanel/Saving/GitService/Gitea/Caption": {
"title": "$:/language/ControlPanel/Saving/GitService/Gitea/Caption",
"text": "Gitea Saver"
},
"$:/language/ControlPanel/Saving/GitService/Gitea/Password": {
"title": "$:/language/ControlPanel/Saving/GitService/Gitea/Password",
"text": "Personal access token for API (via Gitea’s web interface: `Settings | Applications | Generate New Token`)"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading",
"text": "Advanced Settings"
},
"$:/language/ControlPanel/Saving/TiddlySpot/BackupDir": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/BackupDir",
"text": "Backup Directory"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Backups": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Backups",
"text": "Backups"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Caption": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Caption",
"text": "~TiddlySpot Saver"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Description": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Description",
"text": "These settings are only used when saving to http://tiddlyspot.com or a compatible remote server"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Filename": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Filename",
"text": "Upload Filename"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Heading": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Heading",
"text": "~TiddlySpot"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Hint": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Hint",
"text": "//The server URL defaults to `http://<wikiname>.tiddlyspot.com/store.cgi` and can be changed to use a custom server address, e.g. `http://example.com/store.php`.//"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Password": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Password",
"text": "Password"
},
"$:/language/ControlPanel/Saving/TiddlySpot/ServerURL": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/ServerURL",
"text": "Server URL"
},
"$:/language/ControlPanel/Saving/TiddlySpot/UploadDir": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/UploadDir",
"text": "Upload Directory"
},
"$:/language/ControlPanel/Saving/TiddlySpot/UserName": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/UserName",
"text": "Wiki Name"
},
"$:/language/ControlPanel/Settings/AutoSave/Caption": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Caption",
"text": "Autosave"
},
"$:/language/ControlPanel/Settings/AutoSave/Disabled/Description": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Disabled/Description",
"text": "Do not save changes automatically"
},
"$:/language/ControlPanel/Settings/AutoSave/Enabled/Description": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Enabled/Description",
"text": "Save changes automatically"
},
"$:/language/ControlPanel/Settings/AutoSave/Hint": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Hint",
"text": "Attempt to automatically save changes during editing when using a supporting saver"
},
"$:/language/ControlPanel/Settings/CamelCase/Caption": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Caption",
"text": "Camel Case Wiki Links"
},
"$:/language/ControlPanel/Settings/CamelCase/Hint": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Hint",
"text": "You can globally disable automatic linking of ~CamelCase phrases. Requires reload to take effect"
},
"$:/language/ControlPanel/Settings/CamelCase/Description": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Description",
"text": "Enable automatic ~CamelCase linking"
},
"$:/language/ControlPanel/Settings/Caption": {
"title": "$:/language/ControlPanel/Settings/Caption",
"text": "Settings"
},
"$:/language/ControlPanel/Settings/EditorToolbar/Caption": {
"title": "$:/language/ControlPanel/Settings/EditorToolbar/Caption",
"text": "Editor Toolbar"
},
"$:/language/ControlPanel/Settings/EditorToolbar/Hint": {
"title": "$:/language/ControlPanel/Settings/EditorToolbar/Hint",
"text": "Enable or disable the editor toolbar:"
},
"$:/language/ControlPanel/Settings/EditorToolbar/Description": {
"title": "$:/language/ControlPanel/Settings/EditorToolbar/Description",
"text": "Show editor toolbar"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Caption": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Caption",
"text": "Tiddler Info Panel Mode"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Hint": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Hint",
"text": "Control when the tiddler info panel closes:"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Popup/Description": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Popup/Description",
"text": "Tiddler info panel closes automatically"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Sticky/Description": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Sticky/Description",
"text": "Tiddler info panel stays open until explicitly closed"
},
"$:/language/ControlPanel/Settings/Hint": {
"title": "$:/language/ControlPanel/Settings/Hint",
"text": "These settings let you customise the behaviour of TiddlyWiki."
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Caption",
"text": "Navigation Address Bar"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Hint",
"text": "Behaviour of the browser address bar when navigating to a tiddler:"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description",
"text": "Do not update the address bar"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description",
"text": "Include the target tiddler"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description",
"text": "Include the target tiddler and the current story sequence"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Caption",
"text": "Navigation History"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Hint",
"text": "Update browser history when navigating to a tiddler:"
},
"$:/language/ControlPanel/Settings/NavigationHistory/No/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/No/Description",
"text": "Do not update history"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description",
"text": "Update history"
},
"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption",
"text": "Permalink/permaview Mode"
},
"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Hint",
"text": "Choose how permalink/permaview is handled:"
},
"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/CopyToClipboard/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/CopyToClipboard/Description",
"text": "Copy permalink/permaview URL to clipboard"
},
"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/UpdateAddressBar/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/UpdateAddressBar/Description",
"text": "Update address bar with permalink/permaview URL"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption",
"text": "Performance Instrumentation"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint",
"text": "Displays performance statistics in the browser developer console. Requires reload to take effect"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description",
"text": "Enable performance instrumentation"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption",
"text": "Toolbar Button Style"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint",
"text": "Choose the style for toolbar buttons:"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless",
"text": "Borderless"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed",
"text": "Boxed"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded",
"text": "Rounded"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Caption": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Caption",
"text": "Toolbar Buttons"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Hint": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Hint",
"text": "Default toolbar button appearance:"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description",
"text": "Include icon"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description",
"text": "Include text"
},
"$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption": {
"title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption",
"text": "Default Sidebar Tab"
},
"$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint": {
"title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint",
"text": "Specify which sidebar tab is displayed by default"
},
"$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption": {
"title": "$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption",
"text": "Default More Sidebar Tab"
},
"$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Hint": {
"title": "$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Hint",
"text": "Specify which More sidebar tab is displayed by default"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/Caption": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/Caption",
"text": "Tiddler Opening Behaviour"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint",
"text": "Navigation from //within// the story river"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint",
"text": "Navigation from //outside// the story river"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove",
"text": "Open above the current tiddler"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow",
"text": "Open below the current tiddler"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop",
"text": "Open at the top of the story river"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom",
"text": "Open at the bottom of the story river"
},
"$:/language/ControlPanel/Settings/TitleLinks/Caption": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Caption",
"text": "Tiddler Titles"
},
"$:/language/ControlPanel/Settings/TitleLinks/Hint": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Hint",
"text": "Optionally display tiddler titles as links"
},
"$:/language/ControlPanel/Settings/TitleLinks/No/Description": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/No/Description",
"text": "Do not display tiddler titles as links"
},
"$:/language/ControlPanel/Settings/TitleLinks/Yes/Description": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Yes/Description",
"text": "Display tiddler titles as links"
},
"$:/language/ControlPanel/Settings/MissingLinks/Caption": {
"title": "$:/language/ControlPanel/Settings/MissingLinks/Caption",
"text": "Wiki Links"
},
"$:/language/ControlPanel/Settings/MissingLinks/Hint": {
"title": "$:/language/ControlPanel/Settings/MissingLinks/Hint",
"text": "Choose whether to link to tiddlers that do not exist yet"
},
"$:/language/ControlPanel/Settings/MissingLinks/Description": {
"title": "$:/language/ControlPanel/Settings/MissingLinks/Description",
"text": "Enable links to missing tiddlers"
},
"$:/language/ControlPanel/StoryView/Caption": {
"title": "$:/language/ControlPanel/StoryView/Caption",
"text": "Story View"
},
"$:/language/ControlPanel/StoryView/Prompt": {
"title": "$:/language/ControlPanel/StoryView/Prompt",
"text": "Current view:"
},
"$:/language/ControlPanel/Stylesheets/Caption": {
"title": "$:/language/ControlPanel/Stylesheets/Caption",
"text": "Stylesheets"
},
"$:/language/ControlPanel/Stylesheets/Expand/Caption": {
"title": "$:/language/ControlPanel/Stylesheets/Expand/Caption",
"text": "Expand All"
},
"$:/language/ControlPanel/Stylesheets/Hint": {
"title": "$:/language/ControlPanel/Stylesheets/Hint",
"text": "This is the rendered CSS of the current stylesheet tiddlers tagged with <<tag \"$:/tags/Stylesheet\">>"
},
"$:/language/ControlPanel/Stylesheets/Restore/Caption": {
"title": "$:/language/ControlPanel/Stylesheets/Restore/Caption",
"text": "Restore"
},
"$:/language/ControlPanel/Theme/Caption": {
"title": "$:/language/ControlPanel/Theme/Caption",
"text": "Theme"
},
"$:/language/ControlPanel/Theme/Prompt": {
"title": "$:/language/ControlPanel/Theme/Prompt",
"text": "Current theme:"
},
"$:/language/ControlPanel/TiddlerFields/Caption": {
"title": "$:/language/ControlPanel/TiddlerFields/Caption",
"text": "Tiddler Fields"
},
"$:/language/ControlPanel/TiddlerFields/Hint": {
"title": "$:/language/ControlPanel/TiddlerFields/Hint",
"text": "This is the full set of TiddlerFields in use in this wiki (including system tiddlers but excluding shadow tiddlers)."
},
"$:/language/ControlPanel/Toolbars/Caption": {
"title": "$:/language/ControlPanel/Toolbars/Caption",
"text": "Toolbars"
},
"$:/language/ControlPanel/Toolbars/EditToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/EditToolbar/Caption",
"text": "Edit Toolbar"
},
"$:/language/ControlPanel/Toolbars/EditToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/EditToolbar/Hint",
"text": "Choose which buttons are displayed for tiddlers in edit mode. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Toolbars/Hint": {
"title": "$:/language/ControlPanel/Toolbars/Hint",
"text": "Select which toolbar buttons are displayed"
},
"$:/language/ControlPanel/Toolbars/PageControls/Caption": {
"title": "$:/language/ControlPanel/Toolbars/PageControls/Caption",
"text": "Page Toolbar"
},
"$:/language/ControlPanel/Toolbars/PageControls/Hint": {
"title": "$:/language/ControlPanel/Toolbars/PageControls/Hint",
"text": "Choose which buttons are displayed on the main page toolbar. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Toolbars/EditorToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/EditorToolbar/Caption",
"text": "Editor Toolbar"
},
"$:/language/ControlPanel/Toolbars/EditorToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/EditorToolbar/Hint",
"text": "Choose which buttons are displayed in the editor toolbar. Note that some buttons will only appear when editing tiddlers of a certain type. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Toolbars/ViewToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Caption",
"text": "View Toolbar"
},
"$:/language/ControlPanel/Toolbars/ViewToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Hint",
"text": "Choose which buttons are displayed for tiddlers in view mode. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Tools/Download/Full/Caption": {
"title": "$:/language/ControlPanel/Tools/Download/Full/Caption",
"text": "Download full wiki"
},
"$:/language/Date/DaySuffix/1": {
"title": "$:/language/Date/DaySuffix/1",
"text": "st"
},
"$:/language/Date/DaySuffix/2": {
"title": "$:/language/Date/DaySuffix/2",
"text": "nd"
},
"$:/language/Date/DaySuffix/3": {
"title": "$:/language/Date/DaySuffix/3",
"text": "rd"
},
"$:/language/Date/DaySuffix/4": {
"title": "$:/language/Date/DaySuffix/4",
"text": "th"
},
"$:/language/Date/DaySuffix/5": {
"title": "$:/language/Date/DaySuffix/5",
"text": "th"
},
"$:/language/Date/DaySuffix/6": {
"title": "$:/language/Date/DaySuffix/6",
"text": "th"
},
"$:/language/Date/DaySuffix/7": {
"title": "$:/language/Date/DaySuffix/7",
"text": "th"
},
"$:/language/Date/DaySuffix/8": {
"title": "$:/language/Date/DaySuffix/8",
"text": "th"
},
"$:/language/Date/DaySuffix/9": {
"title": "$:/language/Date/DaySuffix/9",
"text": "th"
},
"$:/language/Date/DaySuffix/10": {
"title": "$:/language/Date/DaySuffix/10",
"text": "th"
},
"$:/language/Date/DaySuffix/11": {
"title": "$:/language/Date/DaySuffix/11",
"text": "th"
},
"$:/language/Date/DaySuffix/12": {
"title": "$:/language/Date/DaySuffix/12",
"text": "th"
},
"$:/language/Date/DaySuffix/13": {
"title": "$:/language/Date/DaySuffix/13",
"text": "th"
},
"$:/language/Date/DaySuffix/14": {
"title": "$:/language/Date/DaySuffix/14",
"text": "th"
},
"$:/language/Date/DaySuffix/15": {
"title": "$:/language/Date/DaySuffix/15",
"text": "th"
},
"$:/language/Date/DaySuffix/16": {
"title": "$:/language/Date/DaySuffix/16",
"text": "th"
},
"$:/language/Date/DaySuffix/17": {
"title": "$:/language/Date/DaySuffix/17",
"text": "th"
},
"$:/language/Date/DaySuffix/18": {
"title": "$:/language/Date/DaySuffix/18",
"text": "th"
},
"$:/language/Date/DaySuffix/19": {
"title": "$:/language/Date/DaySuffix/19",
"text": "th"
},
"$:/language/Date/DaySuffix/20": {
"title": "$:/language/Date/DaySuffix/20",
"text": "th"
},
"$:/language/Date/DaySuffix/21": {
"title": "$:/language/Date/DaySuffix/21",
"text": "st"
},
"$:/language/Date/DaySuffix/22": {
"title": "$:/language/Date/DaySuffix/22",
"text": "nd"
},
"$:/language/Date/DaySuffix/23": {
"title": "$:/language/Date/DaySuffix/23",
"text": "rd"
},
"$:/language/Date/DaySuffix/24": {
"title": "$:/language/Date/DaySuffix/24",
"text": "th"
},
"$:/language/Date/DaySuffix/25": {
"title": "$:/language/Date/DaySuffix/25",
"text": "th"
},
"$:/language/Date/DaySuffix/26": {
"title": "$:/language/Date/DaySuffix/26",
"text": "th"
},
"$:/language/Date/DaySuffix/27": {
"title": "$:/language/Date/DaySuffix/27",
"text": "th"
},
"$:/language/Date/DaySuffix/28": {
"title": "$:/language/Date/DaySuffix/28",
"text": "th"
},
"$:/language/Date/DaySuffix/29": {
"title": "$:/language/Date/DaySuffix/29",
"text": "th"
},
"$:/language/Date/DaySuffix/30": {
"title": "$:/language/Date/DaySuffix/30",
"text": "th"
},
"$:/language/Date/DaySuffix/31": {
"title": "$:/language/Date/DaySuffix/31",
"text": "st"
},
"$:/language/Date/Long/Day/0": {
"title": "$:/language/Date/Long/Day/0",
"text": "Sunday"
},
"$:/language/Date/Long/Day/1": {
"title": "$:/language/Date/Long/Day/1",
"text": "Monday"
},
"$:/language/Date/Long/Day/2": {
"title": "$:/language/Date/Long/Day/2",
"text": "Tuesday"
},
"$:/language/Date/Long/Day/3": {
"title": "$:/language/Date/Long/Day/3",
"text": "Wednesday"
},
"$:/language/Date/Long/Day/4": {
"title": "$:/language/Date/Long/Day/4",
"text": "Thursday"
},
"$:/language/Date/Long/Day/5": {
"title": "$:/language/Date/Long/Day/5",
"text": "Friday"
},
"$:/language/Date/Long/Day/6": {
"title": "$:/language/Date/Long/Day/6",
"text": "Saturday"
},
"$:/language/Date/Long/Month/1": {
"title": "$:/language/Date/Long/Month/1",
"text": "January"
},
"$:/language/Date/Long/Month/2": {
"title": "$:/language/Date/Long/Month/2",
"text": "February"
},
"$:/language/Date/Long/Month/3": {
"title": "$:/language/Date/Long/Month/3",
"text": "March"
},
"$:/language/Date/Long/Month/4": {
"title": "$:/language/Date/Long/Month/4",
"text": "April"
},
"$:/language/Date/Long/Month/5": {
"title": "$:/language/Date/Long/Month/5",
"text": "May"
},
"$:/language/Date/Long/Month/6": {
"title": "$:/language/Date/Long/Month/6",
"text": "June"
},
"$:/language/Date/Long/Month/7": {
"title": "$:/language/Date/Long/Month/7",
"text": "July"
},
"$:/language/Date/Long/Month/8": {
"title": "$:/language/Date/Long/Month/8",
"text": "August"
},
"$:/language/Date/Long/Month/9": {
"title": "$:/language/Date/Long/Month/9",
"text": "September"
},
"$:/language/Date/Long/Month/10": {
"title": "$:/language/Date/Long/Month/10",
"text": "October"
},
"$:/language/Date/Long/Month/11": {
"title": "$:/language/Date/Long/Month/11",
"text": "November"
},
"$:/language/Date/Long/Month/12": {
"title": "$:/language/Date/Long/Month/12",
"text": "December"
},
"$:/language/Date/Period/am": {
"title": "$:/language/Date/Period/am",
"text": "am"
},
"$:/language/Date/Period/pm": {
"title": "$:/language/Date/Period/pm",
"text": "pm"
},
"$:/language/Date/Short/Day/0": {
"title": "$:/language/Date/Short/Day/0",
"text": "Sun"
},
"$:/language/Date/Short/Day/1": {
"title": "$:/language/Date/Short/Day/1",
"text": "Mon"
},
"$:/language/Date/Short/Day/2": {
"title": "$:/language/Date/Short/Day/2",
"text": "Tue"
},
"$:/language/Date/Short/Day/3": {
"title": "$:/language/Date/Short/Day/3",
"text": "Wed"
},
"$:/language/Date/Short/Day/4": {
"title": "$:/language/Date/Short/Day/4",
"text": "Thu"
},
"$:/language/Date/Short/Day/5": {
"title": "$:/language/Date/Short/Day/5",
"text": "Fri"
},
"$:/language/Date/Short/Day/6": {
"title": "$:/language/Date/Short/Day/6",
"text": "Sat"
},
"$:/language/Date/Short/Month/1": {
"title": "$:/language/Date/Short/Month/1",
"text": "Jan"
},
"$:/language/Date/Short/Month/2": {
"title": "$:/language/Date/Short/Month/2",
"text": "Feb"
},
"$:/language/Date/Short/Month/3": {
"title": "$:/language/Date/Short/Month/3",
"text": "Mar"
},
"$:/language/Date/Short/Month/4": {
"title": "$:/language/Date/Short/Month/4",
"text": "Apr"
},
"$:/language/Date/Short/Month/5": {
"title": "$:/language/Date/Short/Month/5",
"text": "May"
},
"$:/language/Date/Short/Month/6": {
"title": "$:/language/Date/Short/Month/6",
"text": "Jun"
},
"$:/language/Date/Short/Month/7": {
"title": "$:/language/Date/Short/Month/7",
"text": "Jul"
},
"$:/language/Date/Short/Month/8": {
"title": "$:/language/Date/Short/Month/8",
"text": "Aug"
},
"$:/language/Date/Short/Month/9": {
"title": "$:/language/Date/Short/Month/9",
"text": "Sep"
},
"$:/language/Date/Short/Month/10": {
"title": "$:/language/Date/Short/Month/10",
"text": "Oct"
},
"$:/language/Date/Short/Month/11": {
"title": "$:/language/Date/Short/Month/11",
"text": "Nov"
},
"$:/language/Date/Short/Month/12": {
"title": "$:/language/Date/Short/Month/12",
"text": "Dec"
},
"$:/language/RelativeDate/Future/Days": {
"title": "$:/language/RelativeDate/Future/Days",
"text": "<<period>> days from now"
},
"$:/language/RelativeDate/Future/Hours": {
"title": "$:/language/RelativeDate/Future/Hours",
"text": "<<period>> hours from now"
},
"$:/language/RelativeDate/Future/Minutes": {
"title": "$:/language/RelativeDate/Future/Minutes",
"text": "<<period>> minutes from now"
},
"$:/language/RelativeDate/Future/Months": {
"title": "$:/language/RelativeDate/Future/Months",
"text": "<<period>> months from now"
},
"$:/language/RelativeDate/Future/Second": {
"title": "$:/language/RelativeDate/Future/Second",
"text": "1 second from now"
},
"$:/language/RelativeDate/Future/Seconds": {
"title": "$:/language/RelativeDate/Future/Seconds",
"text": "<<period>> seconds from now"
},
"$:/language/RelativeDate/Future/Years": {
"title": "$:/language/RelativeDate/Future/Years",
"text": "<<period>> years from now"
},
"$:/language/RelativeDate/Past/Days": {
"title": "$:/language/RelativeDate/Past/Days",
"text": "<<period>> days ago"
},
"$:/language/RelativeDate/Past/Hours": {
"title": "$:/language/RelativeDate/Past/Hours",
"text": "<<period>> hours ago"
},
"$:/language/RelativeDate/Past/Minutes": {
"title": "$:/language/RelativeDate/Past/Minutes",
"text": "<<period>> minutes ago"
},
"$:/language/RelativeDate/Past/Months": {
"title": "$:/language/RelativeDate/Past/Months",
"text": "<<period>> months ago"
},
"$:/language/RelativeDate/Past/Second": {
"title": "$:/language/RelativeDate/Past/Second",
"text": "1 second ago"
},
"$:/language/RelativeDate/Past/Seconds": {
"title": "$:/language/RelativeDate/Past/Seconds",
"text": "<<period>> seconds ago"
},
"$:/language/RelativeDate/Past/Years": {
"title": "$:/language/RelativeDate/Past/Years",
"text": "<<period>> years ago"
},
"$:/language/Docs/ModuleTypes/allfilteroperator": {
"title": "$:/language/Docs/ModuleTypes/allfilteroperator",
"text": "A sub-operator for the ''all'' filter operator."
},
"$:/language/Docs/ModuleTypes/animation": {
"title": "$:/language/Docs/ModuleTypes/animation",
"text": "Animations that may be used with the RevealWidget."
},
"$:/language/Docs/ModuleTypes/authenticator": {
"title": "$:/language/Docs/ModuleTypes/authenticator",
"text": "Defines how requests are authenticated by the built-in HTTP server."
},
"$:/language/Docs/ModuleTypes/bitmapeditoroperation": {
"title": "$:/language/Docs/ModuleTypes/bitmapeditoroperation",
"text": "A bitmap editor toolbar operation."
},
"$:/language/Docs/ModuleTypes/command": {
"title": "$:/language/Docs/ModuleTypes/command",
"text": "Commands that can be executed under Node.js."
},
"$:/language/Docs/ModuleTypes/config": {
"title": "$:/language/Docs/ModuleTypes/config",
"text": "Data to be inserted into `$tw.config`."
},
"$:/language/Docs/ModuleTypes/filteroperator": {
"title": "$:/language/Docs/ModuleTypes/filteroperator",
"text": "Individual filter operator methods."
},
"$:/language/Docs/ModuleTypes/global": {
"title": "$:/language/Docs/ModuleTypes/global",
"text": "Global data to be inserted into `$tw`."
},
"$:/language/Docs/ModuleTypes/info": {
"title": "$:/language/Docs/ModuleTypes/info",
"text": "Publishes system information via the [[$:/temp/info-plugin]] pseudo-plugin."
},
"$:/language/Docs/ModuleTypes/isfilteroperator": {
"title": "$:/language/Docs/ModuleTypes/isfilteroperator",
"text": "Operands for the ''is'' filter operator."
},
"$:/language/Docs/ModuleTypes/library": {
"title": "$:/language/Docs/ModuleTypes/library",
"text": "Generic module type for general purpose JavaScript modules."
},
"$:/language/Docs/ModuleTypes/macro": {
"title": "$:/language/Docs/ModuleTypes/macro",
"text": "JavaScript macro definitions."
},
"$:/language/Docs/ModuleTypes/parser": {
"title": "$:/language/Docs/ModuleTypes/parser",
"text": "Parsers for different content types."
},
"$:/language/Docs/ModuleTypes/route": {
"title": "$:/language/Docs/ModuleTypes/route",
"text": "Defines how individual URL patterns are handled by the built-in HTTP server."
},
"$:/language/Docs/ModuleTypes/saver": {
"title": "$:/language/Docs/ModuleTypes/saver",
"text": "Savers handle different methods for saving files from the browser."
},
"$:/language/Docs/ModuleTypes/startup": {
"title": "$:/language/Docs/ModuleTypes/startup",
"text": "Startup functions."
},
"$:/language/Docs/ModuleTypes/storyview": {
"title": "$:/language/Docs/ModuleTypes/storyview",
"text": "Story views customise the animation and behaviour of list widgets."
},
"$:/language/Docs/ModuleTypes/texteditoroperation": {
"title": "$:/language/Docs/ModuleTypes/texteditoroperation",
"text": "A text editor toolbar operation."
},
"$:/language/Docs/ModuleTypes/tiddlerdeserializer": {
"title": "$:/language/Docs/ModuleTypes/tiddlerdeserializer",
"text": "Converts different content types into tiddlers."
},
"$:/language/Docs/ModuleTypes/tiddlerfield": {
"title": "$:/language/Docs/ModuleTypes/tiddlerfield",
"text": "Defines the behaviour of an individual tiddler field."
},
"$:/language/Docs/ModuleTypes/tiddlermethod": {
"title": "$:/language/Docs/ModuleTypes/tiddlermethod",
"text": "Adds methods to the `$tw.Tiddler` prototype."
},
"$:/language/Docs/ModuleTypes/upgrader": {
"title": "$:/language/Docs/ModuleTypes/upgrader",
"text": "Applies upgrade processing to tiddlers during an upgrade/import."
},
"$:/language/Docs/ModuleTypes/utils": {
"title": "$:/language/Docs/ModuleTypes/utils",
"text": "Adds methods to `$tw.utils`."
},
"$:/language/Docs/ModuleTypes/utils-node": {
"title": "$:/language/Docs/ModuleTypes/utils-node",
"text": "Adds Node.js-specific methods to `$tw.utils`."
},
"$:/language/Docs/ModuleTypes/widget": {
"title": "$:/language/Docs/ModuleTypes/widget",
"text": "Widgets encapsulate DOM rendering and refreshing."
},
"$:/language/Docs/ModuleTypes/wikimethod": {
"title": "$:/language/Docs/ModuleTypes/wikimethod",
"text": "Adds methods to `$tw.Wiki`."
},
"$:/language/Docs/ModuleTypes/wikirule": {
"title": "$:/language/Docs/ModuleTypes/wikirule",
"text": "Individual parser rules for the main WikiText parser."
},
"$:/language/Docs/PaletteColours/alert-background": {
"title": "$:/language/Docs/PaletteColours/alert-background",
"text": "Alert background"
},
"$:/language/Docs/PaletteColours/alert-border": {
"title": "$:/language/Docs/PaletteColours/alert-border",
"text": "Alert border"
},
"$:/language/Docs/PaletteColours/alert-highlight": {
"title": "$:/language/Docs/PaletteColours/alert-highlight",
"text": "Alert highlight"
},
"$:/language/Docs/PaletteColours/alert-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/alert-muted-foreground",
"text": "Alert muted foreground"
},
"$:/language/Docs/PaletteColours/background": {
"title": "$:/language/Docs/PaletteColours/background",
"text": "General background"
},
"$:/language/Docs/PaletteColours/blockquote-bar": {
"title": "$:/language/Docs/PaletteColours/blockquote-bar",
"text": "Blockquote bar"
},
"$:/language/Docs/PaletteColours/button-background": {
"title": "$:/language/Docs/PaletteColours/button-background",
"text": "Default button background"
},
"$:/language/Docs/PaletteColours/button-border": {
"title": "$:/language/Docs/PaletteColours/button-border",
"text": "Default button border"
},
"$:/language/Docs/PaletteColours/button-foreground": {
"title": "$:/language/Docs/PaletteColours/button-foreground",
"text": "Default button foreground"
},
"$:/language/Docs/PaletteColours/dirty-indicator": {
"title": "$:/language/Docs/PaletteColours/dirty-indicator",
"text": "Unsaved changes indicator"
},
"$:/language/Docs/PaletteColours/code-background": {
"title": "$:/language/Docs/PaletteColours/code-background",
"text": "Code background"
},
"$:/language/Docs/PaletteColours/code-border": {
"title": "$:/language/Docs/PaletteColours/code-border",
"text": "Code border"
},
"$:/language/Docs/PaletteColours/code-foreground": {
"title": "$:/language/Docs/PaletteColours/code-foreground",
"text": "Code foreground"
},
"$:/language/Docs/PaletteColours/download-background": {
"title": "$:/language/Docs/PaletteColours/download-background",
"text": "Download button background"
},
"$:/language/Docs/PaletteColours/download-foreground": {
"title": "$:/language/Docs/PaletteColours/download-foreground",
"text": "Download button foreground"
},
"$:/language/Docs/PaletteColours/dragger-background": {
"title": "$:/language/Docs/PaletteColours/dragger-background",
"text": "Dragger background"
},
"$:/language/Docs/PaletteColours/dragger-foreground": {
"title": "$:/language/Docs/PaletteColours/dragger-foreground",
"text": "Dragger foreground"
},
"$:/language/Docs/PaletteColours/dropdown-background": {
"title": "$:/language/Docs/PaletteColours/dropdown-background",
"text": "Dropdown background"
},
"$:/language/Docs/PaletteColours/dropdown-border": {
"title": "$:/language/Docs/PaletteColours/dropdown-border",
"text": "Dropdown border"
},
"$:/language/Docs/PaletteColours/dropdown-tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/dropdown-tab-background-selected",
"text": "Dropdown tab background for selected tabs"
},
"$:/language/Docs/PaletteColours/dropdown-tab-background": {
"title": "$:/language/Docs/PaletteColours/dropdown-tab-background",
"text": "Dropdown tab background"
},
"$:/language/Docs/PaletteColours/dropzone-background": {
"title": "$:/language/Docs/PaletteColours/dropzone-background",
"text": "Dropzone background"
},
"$:/language/Docs/PaletteColours/external-link-background-hover": {
"title": "$:/language/Docs/PaletteColours/external-link-background-hover",
"text": "External link background hover"
},
"$:/language/Docs/PaletteColours/external-link-background-visited": {
"title": "$:/language/Docs/PaletteColours/external-link-background-visited",
"text": "External link background visited"
},
"$:/language/Docs/PaletteColours/external-link-background": {
"title": "$:/language/Docs/PaletteColours/external-link-background",
"text": "External link background"
},
"$:/language/Docs/PaletteColours/external-link-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground-hover",
"text": "External link foreground hover"
},
"$:/language/Docs/PaletteColours/external-link-foreground-visited": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground-visited",
"text": "External link foreground visited"
},
"$:/language/Docs/PaletteColours/external-link-foreground": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground",
"text": "External link foreground"
},
"$:/language/Docs/PaletteColours/foreground": {
"title": "$:/language/Docs/PaletteColours/foreground",
"text": "General foreground"
},
"$:/language/Docs/PaletteColours/menubar-background": {
"title": "$:/language/Docs/PaletteColours/menubar-background",
"text": "Menu bar background"
},
"$:/language/Docs/PaletteColours/menubar-foreground": {
"title": "$:/language/Docs/PaletteColours/menubar-foreground",
"text": "Menu bar foreground"
},
"$:/language/Docs/PaletteColours/message-background": {
"title": "$:/language/Docs/PaletteColours/message-background",
"text": "Message box background"
},
"$:/language/Docs/PaletteColours/message-border": {
"title": "$:/language/Docs/PaletteColours/message-border",
"text": "Message box border"
},
"$:/language/Docs/PaletteColours/message-foreground": {
"title": "$:/language/Docs/PaletteColours/message-foreground",
"text": "Message box foreground"
},
"$:/language/Docs/PaletteColours/modal-backdrop": {
"title": "$:/language/Docs/PaletteColours/modal-backdrop",
"text": "Modal backdrop"
},
"$:/language/Docs/PaletteColours/modal-background": {
"title": "$:/language/Docs/PaletteColours/modal-background",
"text": "Modal background"
},
"$:/language/Docs/PaletteColours/modal-border": {
"title": "$:/language/Docs/PaletteColours/modal-border",
"text": "Modal border"
},
"$:/language/Docs/PaletteColours/modal-footer-background": {
"title": "$:/language/Docs/PaletteColours/modal-footer-background",
"text": "Modal footer background"
},
"$:/language/Docs/PaletteColours/modal-footer-border": {
"title": "$:/language/Docs/PaletteColours/modal-footer-border",
"text": "Modal footer border"
},
"$:/language/Docs/PaletteColours/modal-header-border": {
"title": "$:/language/Docs/PaletteColours/modal-header-border",
"text": "Modal header border"
},
"$:/language/Docs/PaletteColours/muted-foreground": {
"title": "$:/language/Docs/PaletteColours/muted-foreground",
"text": "General muted foreground"
},
"$:/language/Docs/PaletteColours/notification-background": {
"title": "$:/language/Docs/PaletteColours/notification-background",
"text": "Notification background"
},
"$:/language/Docs/PaletteColours/notification-border": {
"title": "$:/language/Docs/PaletteColours/notification-border",
"text": "Notification border"
},
"$:/language/Docs/PaletteColours/page-background": {
"title": "$:/language/Docs/PaletteColours/page-background",
"text": "Page background"
},
"$:/language/Docs/PaletteColours/pre-background": {
"title": "$:/language/Docs/PaletteColours/pre-background",
"text": "Preformatted code background"
},
"$:/language/Docs/PaletteColours/pre-border": {
"title": "$:/language/Docs/PaletteColours/pre-border",
"text": "Preformatted code border"
},
"$:/language/Docs/PaletteColours/primary": {
"title": "$:/language/Docs/PaletteColours/primary",
"text": "General primary"
},
"$:/language/Docs/PaletteColours/select-tag-background": {
"title": "$:/language/Docs/PaletteColours/select-tag-background",
"text": "`<select>` element background"
},
"$:/language/Docs/PaletteColours/select-tag-foreground": {
"title": "$:/language/Docs/PaletteColours/select-tag-foreground",
"text": "`<select>` element text"
},
"$:/language/Docs/PaletteColours/sidebar-button-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-button-foreground",
"text": "Sidebar button foreground"
},
"$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover",
"text": "Sidebar controls foreground hover"
},
"$:/language/Docs/PaletteColours/sidebar-controls-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-controls-foreground",
"text": "Sidebar controls foreground"
},
"$:/language/Docs/PaletteColours/sidebar-foreground-shadow": {
"title": "$:/language/Docs/PaletteColours/sidebar-foreground-shadow",
"text": "Sidebar foreground shadow"
},
"$:/language/Docs/PaletteColours/sidebar-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-foreground",
"text": "Sidebar foreground"
},
"$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover",
"text": "Sidebar muted foreground hover"
},
"$:/language/Docs/PaletteColours/sidebar-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-muted-foreground",
"text": "Sidebar muted foreground"
},
"$:/language/Docs/PaletteColours/sidebar-tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-background-selected",
"text": "Sidebar tab background for selected tabs"
},
"$:/language/Docs/PaletteColours/sidebar-tab-background": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-background",
"text": "Sidebar tab background"
},
"$:/language/Docs/PaletteColours/sidebar-tab-border-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-border-selected",
"text": "Sidebar tab border for selected tabs"
},
"$:/language/Docs/PaletteColours/sidebar-tab-border": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-border",
"text": "Sidebar tab border"
},
"$:/language/Docs/PaletteColours/sidebar-tab-divider": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-divider",
"text": "Sidebar tab divider"
},
"$:/language/Docs/PaletteColours/sidebar-tab-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-foreground-selected",
"text": "Sidebar tab foreground for selected tabs"
},
"$:/language/Docs/PaletteColours/sidebar-tab-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-foreground",
"text": "Sidebar tab foreground"
},
"$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground-hover",
"text": "Sidebar tiddler link foreground hover"
},
"$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground",
"text": "Sidebar tiddler link foreground"
},
"$:/language/Docs/PaletteColours/site-title-foreground": {
"title": "$:/language/Docs/PaletteColours/site-title-foreground",
"text": "Site title foreground"
},
"$:/language/Docs/PaletteColours/static-alert-foreground": {
"title": "$:/language/Docs/PaletteColours/static-alert-foreground",
"text": "Static alert foreground"
},
"$:/language/Docs/PaletteColours/tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/tab-background-selected",
"text": "Tab background for selected tabs"
},
"$:/language/Docs/PaletteColours/tab-background": {
"title": "$:/language/Docs/PaletteColours/tab-background",
"text": "Tab background"
},
"$:/language/Docs/PaletteColours/tab-border-selected": {
"title": "$:/language/Docs/PaletteColours/tab-border-selected",
"text": "Tab border for selected tabs"
},
"$:/language/Docs/PaletteColours/tab-border": {
"title": "$:/language/Docs/PaletteColours/tab-border",
"text": "Tab border"
},
"$:/language/Docs/PaletteColours/tab-divider": {
"title": "$:/language/Docs/PaletteColours/tab-divider",
"text": "Tab divider"
},
"$:/language/Docs/PaletteColours/tab-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/tab-foreground-selected",
"text": "Tab foreground for selected tabs"
},
"$:/language/Docs/PaletteColours/tab-foreground": {
"title": "$:/language/Docs/PaletteColours/tab-foreground",
"text": "Tab foreground"
},
"$:/language/Docs/PaletteColours/table-border": {
"title": "$:/language/Docs/PaletteColours/table-border",
"text": "Table border"
},
"$:/language/Docs/PaletteColours/table-footer-background": {
"title": "$:/language/Docs/PaletteColours/table-footer-background",
"text": "Table footer background"
},
"$:/language/Docs/PaletteColours/table-header-background": {
"title": "$:/language/Docs/PaletteColours/table-header-background",
"text": "Table header background"
},
"$:/language/Docs/PaletteColours/tag-background": {
"title": "$:/language/Docs/PaletteColours/tag-background",
"text": "Tag background"
},
"$:/language/Docs/PaletteColours/tag-foreground": {
"title": "$:/language/Docs/PaletteColours/tag-foreground",
"text": "Tag foreground"
},
"$:/language/Docs/PaletteColours/tiddler-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-background",
"text": "Tiddler background"
},
"$:/language/Docs/PaletteColours/tiddler-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-border",
"text": "Tiddler border"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover",
"text": "Tiddler controls foreground hover"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected",
"text": "Tiddler controls foreground for selected controls"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground",
"text": "Tiddler controls foreground"
},
"$:/language/Docs/PaletteColours/tiddler-editor-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-background",
"text": "Tiddler editor background"
},
"$:/language/Docs/PaletteColours/tiddler-editor-border-image": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-border-image",
"text": "Tiddler editor border image"
},
"$:/language/Docs/PaletteColours/tiddler-editor-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-border",
"text": "Tiddler editor border"
},
"$:/language/Docs/PaletteColours/tiddler-editor-fields-even": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-fields-even",
"text": "Tiddler editor background for even fields"
},
"$:/language/Docs/PaletteColours/tiddler-editor-fields-odd": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-fields-odd",
"text": "Tiddler editor background for odd fields"
},
"$:/language/Docs/PaletteColours/tiddler-info-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-background",
"text": "Tiddler info panel background"
},
"$:/language/Docs/PaletteColours/tiddler-info-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-border",
"text": "Tiddler info panel border"
},
"$:/language/Docs/PaletteColours/tiddler-info-tab-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-tab-background",
"text": "Tiddler info panel tab background"
},
"$:/language/Docs/PaletteColours/tiddler-link-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-link-background",
"text": "Tiddler link background"
},
"$:/language/Docs/PaletteColours/tiddler-link-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-link-foreground",
"text": "Tiddler link foreground"
},
"$:/language/Docs/PaletteColours/tiddler-subtitle-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-subtitle-foreground",
"text": "Tiddler subtitle foreground"
},
"$:/language/Docs/PaletteColours/tiddler-title-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-title-foreground",
"text": "Tiddler title foreground"
},
"$:/language/Docs/PaletteColours/toolbar-new-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-new-button",
"text": "Toolbar 'new tiddler' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-options-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-options-button",
"text": "Toolbar 'options' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-save-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-save-button",
"text": "Toolbar 'save' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-info-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-info-button",
"text": "Toolbar 'info' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-edit-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-edit-button",
"text": "Toolbar 'edit' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-close-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-close-button",
"text": "Toolbar 'close' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-delete-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-delete-button",
"text": "Toolbar 'delete' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-cancel-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-cancel-button",
"text": "Toolbar 'cancel' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-done-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-done-button",
"text": "Toolbar 'done' button foreground"
},
"$:/language/Docs/PaletteColours/untagged-background": {
"title": "$:/language/Docs/PaletteColours/untagged-background",
"text": "Untagged pill background"
},
"$:/language/Docs/PaletteColours/very-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/very-muted-foreground",
"text": "Very muted foreground"
},
"$:/language/EditTemplate/Body/External/Hint": {
"title": "$:/language/EditTemplate/Body/External/Hint",
"text": "This tiddler shows content stored outside of the main TiddlyWiki file. You can edit the tags and fields but cannot directly edit the content itself"
},
"$:/language/EditTemplate/Body/Placeholder": {
"title": "$:/language/EditTemplate/Body/Placeholder",
"text": "Type the text for this tiddler"
},
"$:/language/EditTemplate/Body/Preview/Type/Output": {
"title": "$:/language/EditTemplate/Body/Preview/Type/Output",
"text": "output"
},
"$:/language/EditTemplate/Field/Remove/Caption": {
"title": "$:/language/EditTemplate/Field/Remove/Caption",
"text": "remove field"
},
"$:/language/EditTemplate/Field/Remove/Hint": {
"title": "$:/language/EditTemplate/Field/Remove/Hint",
"text": "Remove field"
},
"$:/language/EditTemplate/Field/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Field/Dropdown/Caption",
"text": "field list"
},
"$:/language/EditTemplate/Field/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Field/Dropdown/Hint",
"text": "Show field list"
},
"$:/language/EditTemplate/Fields/Add/Button": {
"title": "$:/language/EditTemplate/Fields/Add/Button",
"text": "add"
},
"$:/language/EditTemplate/Fields/Add/Button/Hint": {
"title": "$:/language/EditTemplate/Fields/Add/Button/Hint",
"text": "Add the new field to the tiddler"
},
"$:/language/EditTemplate/Fields/Add/Name/Placeholder": {
"title": "$:/language/EditTemplate/Fields/Add/Name/Placeholder",
"text": "field name"
},
"$:/language/EditTemplate/Fields/Add/Prompt": {
"title": "$:/language/EditTemplate/Fields/Add/Prompt",
"text": "Add a new field:"
},
"$:/language/EditTemplate/Fields/Add/Value/Placeholder": {
"title": "$:/language/EditTemplate/Fields/Add/Value/Placeholder",
"text": "field value"
},
"$:/language/EditTemplate/Fields/Add/Dropdown/System": {
"title": "$:/language/EditTemplate/Fields/Add/Dropdown/System",
"text": "System fields"
},
"$:/language/EditTemplate/Fields/Add/Dropdown/User": {
"title": "$:/language/EditTemplate/Fields/Add/Dropdown/User",
"text": "User fields"
},
"$:/language/EditTemplate/Shadow/Warning": {
"title": "$:/language/EditTemplate/Shadow/Warning",
"text": "This is a shadow tiddler. Any changes you make will override the default version from the plugin <<pluginLink>>"
},
"$:/language/EditTemplate/Shadow/OverriddenWarning": {
"title": "$:/language/EditTemplate/Shadow/OverriddenWarning",
"text": "This is a modified shadow tiddler. You can revert to the default version in the plugin <<pluginLink>> by deleting this tiddler"
},
"$:/language/EditTemplate/Tags/Add/Button": {
"title": "$:/language/EditTemplate/Tags/Add/Button",
"text": "add"
},
"$:/language/EditTemplate/Tags/Add/Button/Hint": {
"title": "$:/language/EditTemplate/Tags/Add/Button/Hint",
"text": "add tag"
},
"$:/language/EditTemplate/Tags/Add/Placeholder": {
"title": "$:/language/EditTemplate/Tags/Add/Placeholder",
"text": "tag name"
},
"$:/language/EditTemplate/Tags/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Tags/Dropdown/Caption",
"text": "tag list"
},
"$:/language/EditTemplate/Tags/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Tags/Dropdown/Hint",
"text": "Show tag list"
},
"$:/language/EditTemplate/Title/BadCharacterWarning": {
"title": "$:/language/EditTemplate/Title/BadCharacterWarning",
"text": "Warning: avoid using any of the characters <<bad-chars>> in tiddler titles"
},
"$:/language/EditTemplate/Title/Exists/Prompt": {
"title": "$:/language/EditTemplate/Title/Exists/Prompt",
"text": "Target tiddler already exists"
},
"$:/language/EditTemplate/Title/Relink/Prompt": {
"title": "$:/language/EditTemplate/Title/Relink/Prompt",
"text": "Update ''<$text text=<<fromTitle>>/>'' to ''<$text text=<<toTitle>>/>'' in the //tags// and //list// fields of other tiddlers"
},
"$:/language/EditTemplate/Title/References/Prompt": {
"title": "$:/language/EditTemplate/Title/References/Prompt",
"text": "The following references to this tiddler will not be automatically updated:"
},
"$:/language/EditTemplate/Type/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Type/Dropdown/Caption",
"text": "content type list"
},
"$:/language/EditTemplate/Type/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Type/Dropdown/Hint",
"text": "Show content type list"
},
"$:/language/EditTemplate/Type/Delete/Caption": {
"title": "$:/language/EditTemplate/Type/Delete/Caption",
"text": "delete content type"
},
"$:/language/EditTemplate/Type/Delete/Hint": {
"title": "$:/language/EditTemplate/Type/Delete/Hint",
"text": "Delete content type"
},
"$:/language/EditTemplate/Type/Placeholder": {
"title": "$:/language/EditTemplate/Type/Placeholder",
"text": "content type"
},
"$:/language/EditTemplate/Type/Prompt": {
"title": "$:/language/EditTemplate/Type/Prompt",
"text": "Type:"
},
"$:/language/Exporters/StaticRiver": {
"title": "$:/language/Exporters/StaticRiver",
"text": "Static HTML"
},
"$:/language/Exporters/JsonFile": {
"title": "$:/language/Exporters/JsonFile",
"text": "JSON file"
},
"$:/language/Exporters/CsvFile": {
"title": "$:/language/Exporters/CsvFile",
"text": "CSV file"
},
"$:/language/Exporters/TidFile": {
"title": "$:/language/Exporters/TidFile",
"text": "\".tid\" file"
},
"$:/language/Docs/Fields/_canonical_uri": {
"title": "$:/language/Docs/Fields/_canonical_uri",
"text": "The full URI of an external image tiddler"
},
"$:/language/Docs/Fields/bag": {
"title": "$:/language/Docs/Fields/bag",
"text": "The name of the bag from which a tiddler came"
},
"$:/language/Docs/Fields/caption": {
"title": "$:/language/Docs/Fields/caption",
"text": "The text to be displayed on a tab or button"
},
"$:/language/Docs/Fields/color": {
"title": "$:/language/Docs/Fields/color",
"text": "The CSS color value associated with a tiddler"
},
"$:/language/Docs/Fields/component": {
"title": "$:/language/Docs/Fields/component",
"text": "The name of the component responsible for an [[alert tiddler|AlertMechanism]]"
},
"$:/language/Docs/Fields/current-tiddler": {
"title": "$:/language/Docs/Fields/current-tiddler",
"text": "Used to cache the top tiddler in a [[history list|HistoryMechanism]]"
},
"$:/language/Docs/Fields/created": {
"title": "$:/language/Docs/Fields/created",
"text": "The date a tiddler was created"
},
"$:/language/Docs/Fields/creator": {
"title": "$:/language/Docs/Fields/creator",
"text": "The name of the person who created a tiddler"
},
"$:/language/Docs/Fields/dependents": {
"title": "$:/language/Docs/Fields/dependents",
"text": "For a plugin, lists the dependent plugin titles"
},
"$:/language/Docs/Fields/description": {
"title": "$:/language/Docs/Fields/description",
"text": "The descriptive text for a plugin, or a modal dialogue"
},
"$:/language/Docs/Fields/draft.of": {
"title": "$:/language/Docs/Fields/draft.of",
"text": "For draft tiddlers, contains the title of the tiddler of which this is a draft"
},
"$:/language/Docs/Fields/draft.title": {
"title": "$:/language/Docs/Fields/draft.title",
"text": "For draft tiddlers, contains the proposed new title of the tiddler"
},
"$:/language/Docs/Fields/footer": {
"title": "$:/language/Docs/Fields/footer",
"text": "The footer text for a wizard"
},
"$:/language/Docs/Fields/hide-body": {
"title": "$:/language/Docs/Fields/hide-body",
"text": "The view template will hide bodies of tiddlers if set to: ''yes''"
},
"$:/language/Docs/Fields/icon": {
"title": "$:/language/Docs/Fields/icon",
"text": "The title of the tiddler containing the icon associated with a tiddler"
},
"$:/language/Docs/Fields/library": {
"title": "$:/language/Docs/Fields/library",
"text": "Indicates that a tiddler should be saved as a JavaScript library if set to: ''yes''"
},
"$:/language/Docs/Fields/list": {
"title": "$:/language/Docs/Fields/list",
"text": "An ordered list of tiddler titles associated with a tiddler"
},
"$:/language/Docs/Fields/list-before": {
"title": "$:/language/Docs/Fields/list-before",
"text": "If set, the title of a tiddler before which this tiddler should be added to the ordered list of tiddler titles, or at the start of the list if this field is present but empty"
},
"$:/language/Docs/Fields/list-after": {
"title": "$:/language/Docs/Fields/list-after",
"text": "If set, the title of the tiddler after which this tiddler should be added to the ordered list of tiddler titles, or at the end of the list if this field is present but empty"
},
"$:/language/Docs/Fields/modified": {
"title": "$:/language/Docs/Fields/modified",
"text": "The date and time at which a tiddler was last modified"
},
"$:/language/Docs/Fields/modifier": {
"title": "$:/language/Docs/Fields/modifier",
"text": "The tiddler title associated with the person who last modified a tiddler"
},
"$:/language/Docs/Fields/name": {
"title": "$:/language/Docs/Fields/name",
"text": "The human readable name associated with a plugin tiddler"
},
"$:/language/Docs/Fields/plugin-priority": {
"title": "$:/language/Docs/Fields/plugin-priority",
"text": "A numerical value indicating the priority of a plugin tiddler"
},
"$:/language/Docs/Fields/plugin-type": {
"title": "$:/language/Docs/Fields/plugin-type",
"text": "The type of plugin in a plugin tiddler"
},
"$:/language/Docs/Fields/revision": {
"title": "$:/language/Docs/Fields/revision",
"text": "The revision of the tiddler held at the server"
},
"$:/language/Docs/Fields/released": {
"title": "$:/language/Docs/Fields/released",
"text": "Date of a TiddlyWiki release"
},
"$:/language/Docs/Fields/source": {
"title": "$:/language/Docs/Fields/source",
"text": "The source URL associated with a tiddler"
},
"$:/language/Docs/Fields/subtitle": {
"title": "$:/language/Docs/Fields/subtitle",
"text": "The subtitle text for a wizard"
},
"$:/language/Docs/Fields/tags": {
"title": "$:/language/Docs/Fields/tags",
"text": "A list of tags associated with a tiddler"
},
"$:/language/Docs/Fields/text": {
"title": "$:/language/Docs/Fields/text",
"text": "The body text of a tiddler"
},
"$:/language/Docs/Fields/throttle.refresh": {
"title": "$:/language/Docs/Fields/throttle.refresh",
"text": "If present, throttles refreshes of this tiddler"
},
"$:/language/Docs/Fields/title": {
"title": "$:/language/Docs/Fields/title",
"text": "The unique name of a tiddler"
},
"$:/language/Docs/Fields/toc-link": {
"title": "$:/language/Docs/Fields/toc-link",
"text": "Suppresses the tiddler's link in a Table of Contents tree if set to: ''no''"
},
"$:/language/Docs/Fields/type": {
"title": "$:/language/Docs/Fields/type",
"text": "The content type of a tiddler"
},
"$:/language/Docs/Fields/version": {
"title": "$:/language/Docs/Fields/version",
"text": "Version information for a plugin"
},
"$:/language/Docs/Fields/_is_skinny": {
"title": "$:/language/Docs/Fields/_is_skinny",
"text": "If present, indicates that the tiddler text field must be loaded from the server"
},
"$:/language/Filters/AllTiddlers": {
"title": "$:/language/Filters/AllTiddlers",
"text": "All tiddlers except system tiddlers"
},
"$:/language/Filters/RecentSystemTiddlers": {
"title": "$:/language/Filters/RecentSystemTiddlers",
"text": "Recently modified tiddlers, including system tiddlers"
},
"$:/language/Filters/RecentTiddlers": {
"title": "$:/language/Filters/RecentTiddlers",
"text": "Recently modified tiddlers"
},
"$:/language/Filters/AllTags": {
"title": "$:/language/Filters/AllTags",
"text": "All tags except system tags"
},
"$:/language/Filters/Missing": {
"title": "$:/language/Filters/Missing",
"text": "Missing tiddlers"
},
"$:/language/Filters/Drafts": {
"title": "$:/language/Filters/Drafts",
"text": "Draft tiddlers"
},
"$:/language/Filters/Orphans": {
"title": "$:/language/Filters/Orphans",
"text": "Orphan tiddlers"
},
"$:/language/Filters/SystemTiddlers": {
"title": "$:/language/Filters/SystemTiddlers",
"text": "System tiddlers"
},
"$:/language/Filters/ShadowTiddlers": {
"title": "$:/language/Filters/ShadowTiddlers",
"text": "Shadow tiddlers"
},
"$:/language/Filters/OverriddenShadowTiddlers": {
"title": "$:/language/Filters/OverriddenShadowTiddlers",
"text": "Overridden shadow tiddlers"
},
"$:/language/Filters/SessionTiddlers": {
"title": "$:/language/Filters/SessionTiddlers",
"text": "Tiddlers modified since the wiki was loaded"
},
"$:/language/Filters/SystemTags": {
"title": "$:/language/Filters/SystemTags",
"text": "System tags"
},
"$:/language/Filters/StoryList": {
"title": "$:/language/Filters/StoryList",
"text": "Tiddlers in the story river, excluding <$text text=\"$:/AdvancedSearch\"/>"
},
"$:/language/Filters/TypedTiddlers": {
"title": "$:/language/Filters/TypedTiddlers",
"text": "Non wiki-text tiddlers"
},
"GettingStarted": {
"title": "GettingStarted",
"text": "\\define lingo-base() $:/language/ControlPanel/Basics/\nWelcome to ~TiddlyWiki and the ~TiddlyWiki community\n\nBefore you start storing important information in ~TiddlyWiki it is vital to make sure that you can reliably save changes. See https://tiddlywiki.com/#GettingStarted for details\n\n!! Set up this ~TiddlyWiki\n\n<div class=\"tc-control-panel\">\n\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n</div>\n\nSee the [[control panel|$:/ControlPanel]] for more options.\n"
},
"$:/language/Help/build": {
"title": "$:/language/Help/build",
"description": "Automatically run configured commands",
"text": "Build the specified build targets for the current wiki. If no build targets are specified then all available targets will be built.\n\n```\n--build <target> [<target> ...]\n```\n\nBuild targets are defined in the `tiddlywiki.info` file of a wiki folder.\n\n"
},
"$:/language/Help/clearpassword": {
"title": "$:/language/Help/clearpassword",
"description": "Clear a password for subsequent crypto operations",
"text": "Clear the password for subsequent crypto operations\n\n```\n--clearpassword\n```\n"
},
"$:/language/Help/default": {
"title": "$:/language/Help/default",
"text": "\\define commandTitle()\n$:/language/Help/$(command)$\n\\end\n```\nusage: tiddlywiki [<wikifolder>] [--<command> [<args>...]...]\n```\n\nAvailable commands:\n\n<ul>\n<$list filter=\"[commands[]sort[title]]\" variable=\"command\">\n<li><$link to=<<commandTitle>>><$macrocall $name=\"command\" $type=\"text/plain\" $output=\"text/plain\"/></$link>: <$transclude tiddler=<<commandTitle>> field=\"description\"/></li>\n</$list>\n</ul>\n\nTo get detailed help on a command:\n\n```\ntiddlywiki --help <command>\n```\n"
},
"$:/language/Help/deletetiddlers": {
"title": "$:/language/Help/deletetiddlers",
"description": "Deletes a group of tiddlers",
"text": "<<.from-version \"5.1.20\">> Deletes a group of tiddlers identified by a filter.\n\n```\n--deletetiddlers <filter>\n```\n"
},
"$:/language/Help/editions": {
"title": "$:/language/Help/editions",
"description": "Lists the available editions of TiddlyWiki",
"text": "Lists the names and descriptions of the available editions. You can create a new wiki of a specified edition with the `--init` command.\n\n```\n--editions\n```\n"
},
"$:/language/Help/fetch": {
"title": "$:/language/Help/fetch",
"description": "Fetch tiddlers from wiki by URL",
"text": "Fetch one or more files over HTTP/HTTPS, and import the tiddlers matching a filter, optionally transforming the incoming titles.\n\n```\n--fetch file <url> <import-filter> <transform-filter>\n--fetch files <url-filter> <import-filter> <transform-filter>\n--fetch raw-file <url> <transform-filter>\n--fetch raw-files <url-filter> <transform-filter>\n```\n\nThe \"file\" and \"files\" variants fetch the specified files and attempt to import the tiddlers within them (the same processing as if the files were dragged into the browser window). The \"raw-file\" and \"raw-files\" variants fetch the specified files and then store the raw file data in tiddlers, without applying the import logic.\n\nWith the \"file\" and \"raw-file\" variants only a single file is fetched and the first parameter is the URL of the file to read.\n\nWith the \"files\" and \"raw-files\" variants, multiple files are fetched and the first parameter is a filter yielding a list of URLs of the files to read. For example, given a set of tiddlers tagged \"remote-server\" that have a field \"url\" the filter `[tag[remote-server]get[url]]` will retrieve all the available URLs.\n\nFor the \"file\" and \"files\" variants, the `<import-filter>` parameter specifies a filter determining which tiddlers are imported. It defaults to `[all[tiddlers]]` if not provided.\n\nFor all variants, the `<transform-filter>` parameter specifies an optional filter that transforms the titles of the imported tiddlers. For example, `[addprefix[$:/myimports/]]` would add the prefix `$:/myimports/` to each title.\n\nPreceding the `--fetch` command with `--verbose` will output progress information during the import.\n\nNote that TiddlyWiki will not fetch an older version of an already loaded plugin.\n\nThe following example retrieves all the non-system tiddlers from https://tiddlywiki.com and saves them to a JSON file:\n\n```\ntiddlywiki --verbose --fetch file \"https://tiddlywiki.com/\" \"[!is[system]]\" \"\" --rendertiddler \"$:/core/templates/exporters/JsonFile\" output.json text/plain \"\" exportFilter \"[!is[system]]\"\n```\n\nThe following example retrieves the \"favicon\" file from tiddlywiki.com and saves it in a file called \"output.ico\". Note that the intermediate tiddler \"Icon Tiddler\" is quoted in the \"--fetch\" command because it is being used as a transformation filter to replace the default title, while there are no quotes for the \"--savetiddler\" command because it is being used directly as a title.\n\n```\ntiddlywiki --verbose --fetch raw-file \"https://tiddlywiki.com/favicon.ico\" \"[[Icon Tiddler]]\" --savetiddler \"Icon Tiddler\" output.ico\n```\n\n"
},
"$:/language/Help/help": {
"title": "$:/language/Help/help",
"description": "Display help for TiddlyWiki commands",
"text": "Displays help text for a command:\n\n```\n--help [<command>]\n```\n\nIf the command name is omitted then a list of available commands is displayed.\n"
},
"$:/language/Help/import": {
"title": "$:/language/Help/import",
"description": "Import tiddlers from a file",
"text": "Import tiddlers from TiddlyWiki (`.html`), `.tiddler`, `.tid`, `.json` or other local files. The deserializer must be explicitly specified, unlike the `load` command which infers the deserializer from the file extension.\n\n```\n--import <filepath> <deserializer> [<title>] [<encoding>]\n```\n\nThe deserializers in the core include:\n\n* application/javascript\n* application/json\n* application/x-tiddler\n* application/x-tiddler-html-div\n* application/x-tiddlers\n* text/html\n* text/plain\n\nThe title of the imported tiddler defaults to the filename.\n\nThe encoding defaults to \"utf8\", but can be \"base64\" for importing binary files.\n\nNote that TiddlyWiki will not import an older version of an already loaded plugin.\n"
},
"$:/language/Help/init": {
"title": "$:/language/Help/init",
"description": "Initialise a new wiki folder",
"text": "Initialise an empty [[WikiFolder|WikiFolders]] with a copy of the specified edition.\n\n```\n--init <edition> [<edition> ...]\n```\n\nFor example:\n\n```\ntiddlywiki ./MyWikiFolder --init empty\n```\n\nNote:\n\n* The wiki folder directory will be created if necessary\n* The \"edition\" defaults to ''empty''\n* The init command will fail if the wiki folder is not empty\n* The init command removes any `includeWikis` definitions in the edition's `tiddlywiki.info` file\n* When multiple editions are specified, editions initialised later will overwrite any files shared with earlier editions (so, the final `tiddlywiki.info` file will be copied from the last edition)\n* `--editions` returns a list of available editions\n"
},
"$:/language/Help/listen": {
"title": "$:/language/Help/listen",
"description": "Provides an HTTP server interface to TiddlyWiki",
"text": "Serves a wiki over HTTP.\n\nThe listen command uses NamedCommandParameters:\n\n```\n--listen [<name>=<value>]...\n```\n\nAll parameters are optional with safe defaults, and can be specified in any order. The recognised parameters are:\n\n* ''host'' - optional hostname to serve from (defaults to \"127.0.0.1\" aka \"localhost\")\n* ''path-prefix'' - optional prefix for paths\n* ''port'' - port number on which to listen; non-numeric values are interpreted as a system environment variable from which the port number is extracted (defaults to \"8080\")\n* ''credentials'' - pathname of credentials CSV file (relative to wiki folder)\n* ''anon-username'' - the username for signing edits for anonymous users\n* ''username'' - optional username for basic authentication\n* ''password'' - optional password for basic authentication\n* ''authenticated-user-header'' - optional name of header to be used for trusted authentication\n* ''readers'' - comma separated list of principals allowed to read from this wiki\n* ''writers'' - comma separated list of principals allowed to write to this wiki\n* ''csrf-disable'' - set to \"yes\" to disable CSRF checks (defaults to \"no\")\n* ''root-tiddler'' - the tiddler to serve at the root (defaults to \"$:/core/save/all\")\n* ''root-render-type'' - the content type to which the root tiddler should be rendered (defaults to \"text/plain\")\n* ''root-serve-type'' - the content type with which the root tiddler should be served (defaults to \"text/html\")\n* ''tls-cert'' - pathname of TLS certificate file (relative to wiki folder)\n* ''tls-key'' - pathname of TLS key file (relative to wiki folder)\n* ''debug-level'' - optional debug level; set to \"debug\" to view request details (defaults to \"none\")\n* ''gzip'' - set to \"yes\" to enable gzip compression for some http endpoints (defaults to \"no\")\n\nFor information on opening up your instance to the entire local network, and possible security concerns, see the WebServer tiddler at TiddlyWiki.com.\n\n"
},
"$:/language/Help/load": {
"title": "$:/language/Help/load",
"description": "Load tiddlers from a file",
"text": "Load tiddlers from TiddlyWiki (`.html`), `.tiddler`, `.tid`, `.json` or other local files. The processing applied to incoming files is determined by the file extension. Use the alternative `import` command if you need to specify the deserializer and encoding explicitly.\n\n```\n--load <filepath> [noerror]\n--load <dirpath> [noerror]\n```\n\nBy default, the load command raises an error if no tiddlers are found. The error can be suppressed by providing the optional \"noerror\" parameter.\n\nTo load tiddlers from an encrypted TiddlyWiki file you should first specify the password with the PasswordCommand. For example:\n\n```\ntiddlywiki ./MyWiki --password pa55w0rd --load my_encrypted_wiki.html\n```\n\nNote that TiddlyWiki will not load an older version of an already loaded plugin.\n"
},
"$:/language/Help/makelibrary": {
"title": "$:/language/Help/makelibrary",
"description": "Construct library plugin required by upgrade process",
"text": "Constructs the `$:/UpgradeLibrary` tiddler for the upgrade process.\n\nThe upgrade library is formatted as an ordinary plugin tiddler with the plugin type `library`. It contains a copy of each of the plugins, themes and language packs available within the TiddlyWiki5 repository.\n\nThis command is intended for internal use; it is only relevant to users constructing a custom upgrade procedure.\n\n```\n--makelibrary <title>\n```\n\nThe title argument defaults to `$:/UpgradeLibrary`.\n"
},
"$:/language/Help/notfound": {
"title": "$:/language/Help/notfound",
"text": "No such help item"
},
"$:/language/Help/output": {
"title": "$:/language/Help/output",
"description": "Set the base output directory for subsequent commands",
"text": "Sets the base output directory for subsequent commands. The default output directory is the `output` subdirectory of the edition directory.\n\n```\n--output <pathname>\n```\n\nIf the specified pathname is relative then it is resolved relative to the current working directory. For example `--output .` sets the output directory to the current working directory.\n\n"
},
"$:/language/Help/password": {
"title": "$:/language/Help/password",
"description": "Set a password for subsequent crypto operations",
"text": "Set a password for subsequent crypto operations\n\n```\n--password <password>\n```\n\n''Note'': This should not be used for serving TiddlyWiki with password protection. Instead, see the password option under the [[ServerCommand]].\n"
},
"$:/language/Help/render": {
"title": "$:/language/Help/render",
"description": "Renders individual tiddlers to files",
"text": "Render individual tiddlers identified by a filter and save the results to the specified files.\n\nOptionally, the title of a template tiddler can be specified. In this case, instead of directly rendering each tiddler, the template tiddler is rendered with the \"currentTiddler\" variable set to the title of the tiddler that is being rendered.\n\nA name and value for an additional variable may optionally also be specified.\n\n```\n--render <tiddler-filter> [<filename-filter>] [<render-type>] [<template>] [<name>] [<value>]\n```\n\n* ''tiddler-filter'': A filter identifying the tiddler(s) to be rendered\n* ''filename-filter'': Optional filter transforming tiddler titles into pathnames. If omitted, defaults to `[is[tiddler]addsuffix[.html]]`, which uses the unchanged tiddler title as the filename\n* ''render-type'': Optional render type: `text/html` (the default) returns the full HTML text and `text/plain` just returns the text content (ie it ignores HTML tags and other unprintable material)\n* ''template'': Optional template through which each tiddler is rendered\n* ''name'': Name of optional variable\n* ''value'': Value of optional variable\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nNotes:\n\n* The output directory is not cleared of any existing files\n* Any missing directories in the path to the filename are automatically created.\n* When referring to a tiddler with spaces in its title, take care to use both the quotes required by your shell and also TiddlyWiki's double square brackets : `--render \"[[Motovun Jack.jpg]]\"`\n* The filename filter is evaluated with the selected items being set to the title of the tiddler currently being rendered, allowing the title to be used as the basis for computing the filename. For example `[encodeuricomponent[]addprefix[static/]]` applies URI encoding to each title, and then adds the prefix `static/`\n* The `--render` command is a more flexible replacement for both the `--rendertiddler` and `--rendertiddlers` commands, which are deprecated\n\nExamples:\n\n* `--render \"[!is[system]]\" \"[encodeuricomponent[]addprefix[tiddlers/]addsuffix[.html]]\"` -- renders all non-system tiddlers as files in the subdirectory \"tiddlers\" with URL-encoded titles and the extension HTML\n\n"
},
"$:/language/Help/rendertiddler": {
"title": "$:/language/Help/rendertiddler",
"description": "Render an individual tiddler as a specified ContentType",
"text": "(Note: The `--rendertiddler` command is deprecated in favour of the new, more flexible `--render` command)\n\nRender an individual tiddler as a specified ContentType, defaulting to `text/html` and save it to the specified filename.\n\nOptionally the title of a template tiddler can be specified, in which case the template tiddler is rendered with the \"currentTiddler\" variable set to the tiddler that is being rendered (the first parameter value).\n\nA name and value for an additional variable may optionally also be specified.\n\n```\n--rendertiddler <title> <filename> [<type>] [<template>] [<name>] [<value>]\n```\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny missing directories in the path to the filename are automatically created.\n\nFor example, the following command saves all tiddlers matching the filter `[tag[done]]` to a JSON file titled `output.json` by employing the core template `$:/core/templates/exporters/JsonFile`.\n\n```\n--rendertiddler \"$:/core/templates/exporters/JsonFile\" output.json text/plain \"\" exportFilter \"[tag[done]]\"\n```\n"
},
"$:/language/Help/rendertiddlers": {
"title": "$:/language/Help/rendertiddlers",
"description": "Render tiddlers matching a filter to a specified ContentType",
"text": "(Note: The `--rendertiddlers` command is deprecated in favour of the new, more flexible `--render` command)\n\nRender a set of tiddlers matching a filter to separate files of a specified ContentType (defaults to `text/html`) and extension (defaults to `.html`).\n\n```\n--rendertiddlers <filter> <template> <pathname> [<type>] [<extension>] [\"noclean\"]\n```\n\nFor example:\n\n```\n--rendertiddlers [!is[system]] $:/core/templates/static.tiddler.html ./static text/plain\n```\n\nBy default, the pathname is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny files in the target directory are deleted unless the ''noclean'' flag is specified. The target directory is recursively created if it is missing.\n"
},
"$:/language/Help/save": {
"title": "$:/language/Help/save",
"description": "Saves individual raw tiddlers to files",
"text": "Saves individual tiddlers identified by a filter in their raw text or binary format to the specified files.\n\n```\n--save <tiddler-filter> <filename-filter>\n```\n\n* ''tiddler-filter'': A filter identifying the tiddler(s) to be saved\n* ''filename-filter'': Optional filter transforming tiddler titles into pathnames. If omitted, defaults to `[is[tiddler]]`, which uses the unchanged tiddler title as the filename\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nNotes:\n\n* The output directory is not cleared of any existing files\n* Any missing directories in the path to the filename are automatically created.\n* When saving a tiddler with spaces in its title, take care to use both the quotes required by your shell and also TiddlyWiki's double square brackets : `--save \"[[Motovun Jack.jpg]]\"`\n* The filename filter is evaluated with the selected items being set to the title of the tiddler currently being saved, allowing the title to be used as the basis for computing the filename. For example `[encodeuricomponent[]addprefix[static/]]` applies URI encoding to each title, and then adds the prefix `static/`\n* The `--save` command is a more flexible replacement for both the `--savetiddler` and `--savetiddlers` commands, which are deprecated\n\nExamples:\n\n* `--save \"[!is[system]is[image]]\" \"[encodeuricomponent[]addprefix[tiddlers/]]\"` -- saves all non-system image tiddlers as files in the subdirectory \"tiddlers\" with URL-encoded titles\n"
},
"$:/language/Help/savetiddler": {
"title": "$:/language/Help/savetiddler",
"description": "Saves a raw tiddler to a file",
"text": "(Note: The `--savetiddler` command is deprecated in favour of the new, more flexible `--save` command)\n\nSaves an individual tiddler in its raw text or binary format to the specified filename.\n\n```\n--savetiddler <title> <filename>\n```\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny missing directories in the path to the filename are automatically created.\n"
},
"$:/language/Help/savetiddlers": {
"title": "$:/language/Help/savetiddlers",
"description": "Saves a group of raw tiddlers to a directory",
"text": "(Note: The `--savetiddlers` command is deprecated in favour of the new, more flexible `--save` command)\n\nSaves a group of tiddlers in their raw text or binary format to the specified directory.\n\n```\n--savetiddlers <filter> <pathname> [\"noclean\"]\n```\n\nBy default, the pathname is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nThe output directory is cleared of existing files before saving the specified files. The deletion can be disabled by specifying the ''noclean'' flag.\n\nAny missing directories in the pathname are automatically created.\n"
},
"$:/language/Help/savewikifolder": {
"title": "$:/language/Help/savewikifolder",
"description": "Saves a wiki to a new wiki folder",
"text": "<<.from-version \"5.1.20\">> Saves the current wiki as a wiki folder, including tiddlers, plugins and configuration:\n\n```\n--savewikifolder <wikifolderpath> [<filter>]\n```\n\n* The target wiki folder must be empty or non-existent\n* The filter specifies which tiddlers should be included. It is optional, defaulting to `[all[tiddlers]]`\n* Plugins from the official plugin library are replaced with references to those plugins in the `tiddlywiki.info` file\n* Custom plugins are unpacked into their own folder\n\nA common usage is to convert a TiddlyWiki HTML file into a wiki folder:\n\n```\ntiddlywiki --load ./mywiki.html --savewikifolder ./mywikifolder\n```\n"
},
"$:/language/Help/server": {
"title": "$:/language/Help/server",
"description": "Provides an HTTP server interface to TiddlyWiki (deprecated in favour of the new listen command)",
"text": "Legacy command to serve a wiki over HTTP.\n\n```\n--server <port> <root-tiddler> <root-render-type> <root-serve-type> <username> <password> <host> <path-prefix> <debug-level>\n```\n\nThe parameters are:\n\n* ''port'' - port number on which to listen; non-numeric values are interpreted as a system environment variable from which the port number is extracted (defaults to \"8080\")\n* ''root-tiddler'' - the tiddler to serve at the root (defaults to \"$:/core/save/all\")\n* ''root-render-type'' - the content type to which the root tiddler should be rendered (defaults to \"text/plain\")\n* ''root-serve-type'' - the content type with which the root tiddler should be served (defaults to \"text/html\")\n* ''username'' - the default username for signing edits\n* ''password'' - optional password for basic authentication\n* ''host'' - optional hostname to serve from (defaults to \"127.0.0.1\" aka \"localhost\")\n* ''path-prefix'' - optional prefix for paths\n* ''debug-level'' - optional debug level; set to \"debug\" to view request details (defaults to \"none\")\n\nIf the password parameter is specified then the browser will prompt the user for the username and password. Note that the password is transmitted in plain text so this implementation should only be used on a trusted network or over HTTPS.\n\nFor example:\n\n```\n--server 8080 $:/core/save/all text/plain text/html MyUserName passw0rd\n```\n\nThe username and password can be specified as empty strings if you need to set the hostname or pathprefix and don't want to require a password.\n\n\n```\n--server 8080 $:/core/save/all text/plain text/html \"\" \"\" 192.168.0.245\n```\n\nUsing an address like this exposes your system to the local network. For information on opening up your instance to the entire local network, and possible security concerns, see the WebServer tiddler at TiddlyWiki.com.\n\nTo run multiple TiddlyWiki servers at the same time you'll need to put each one on a different port. It can be useful to use an environment variable to pass the port number to the Node.js process. This example references an environment variable called \"MY_PORT_NUMBER\":\n\n```\n--server MY_PORT_NUMBER $:/core/save/all text/plain text/html MyUserName passw0rd\n```\n"
},
"$:/language/Help/setfield": {
"title": "$:/language/Help/setfield",
"description": "Prepares external tiddlers for use",
"text": "//Note that this command is experimental and may change or be replaced before being finalised//\n\nSets the specified field of a group of tiddlers to the result of wikifying a template tiddler with the `currentTiddler` variable set to the tiddler.\n\n```\n--setfield <filter> <fieldname> <templatetitle> <rendertype>\n```\n\nThe parameters are:\n\n* ''filter'' - filter identifying the tiddlers to be affected\n* ''fieldname'' - the field to modify (defaults to \"text\")\n* ''templatetitle'' - the tiddler to wikify into the specified field. If blank or missing then the specified field is deleted\n* ''rendertype'' - the text type to render (defaults to \"text/plain\"; \"text/html\" can be used to include HTML tags)\n"
},
"$:/language/Help/unpackplugin": {
"title": "$:/language/Help/unpackplugin",
"description": "Unpack the payload tiddlers from a plugin",
"text": "Extract the payload tiddlers from a plugin, creating them as ordinary tiddlers:\n\n```\n--unpackplugin <title>\n```\n"
},
"$:/language/Help/verbose": {
"title": "$:/language/Help/verbose",
"description": "Triggers verbose output mode",
"text": "Triggers verbose output, useful for debugging\n\n```\n--verbose\n```\n"
},
"$:/language/Help/version": {
"title": "$:/language/Help/version",
"description": "Displays the version number of TiddlyWiki",
"text": "Displays the version number of TiddlyWiki.\n\n```\n--version\n```\n"
},
"$:/language/Import/Imported/Hint": {
"title": "$:/language/Import/Imported/Hint",
"text": "The following tiddlers were imported:"
},
"$:/language/Import/Listing/Cancel/Caption": {
"title": "$:/language/Import/Listing/Cancel/Caption",
"text": "Cancel"
},
"$:/language/Import/Listing/Hint": {
"title": "$:/language/Import/Listing/Hint",
"text": "These tiddlers are ready to import:"
},
"$:/language/Import/Listing/Import/Caption": {
"title": "$:/language/Import/Listing/Import/Caption",
"text": "Import"
},
"$:/language/Import/Listing/Select/Caption": {
"title": "$:/language/Import/Listing/Select/Caption",
"text": "Select"
},
"$:/language/Import/Listing/Status/Caption": {
"title": "$:/language/Import/Listing/Status/Caption",
"text": "Status"
},
"$:/language/Import/Listing/Title/Caption": {
"title": "$:/language/Import/Listing/Title/Caption",
"text": "Title"
},
"$:/language/Import/Listing/Preview": {
"title": "$:/language/Import/Listing/Preview",
"text": "Preview:"
},
"$:/language/Import/Listing/Preview/Text": {
"title": "$:/language/Import/Listing/Preview/Text",
"text": "Text"
},
"$:/language/Import/Listing/Preview/TextRaw": {
"title": "$:/language/Import/Listing/Preview/TextRaw",
"text": "Text (Raw)"
},
"$:/language/Import/Listing/Preview/Fields": {
"title": "$:/language/Import/Listing/Preview/Fields",
"text": "Fields"
},
"$:/language/Import/Listing/Preview/Diff": {
"title": "$:/language/Import/Listing/Preview/Diff",
"text": "Diff"
},
"$:/language/Import/Listing/Preview/DiffFields": {
"title": "$:/language/Import/Listing/Preview/DiffFields",
"text": "Diff (Fields)"
},
"$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible": {
"title": "$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible",
"text": "Blocked incompatible or obsolete plugin"
},
"$:/language/Import/Upgrader/Plugins/Suppressed/Version": {
"title": "$:/language/Import/Upgrader/Plugins/Suppressed/Version",
"text": "Blocked plugin (due to incoming <<incoming>> being older than existing <<existing>>)"
},
"$:/language/Import/Upgrader/Plugins/Upgraded": {
"title": "$:/language/Import/Upgrader/Plugins/Upgraded",
"text": "Upgraded plugin from <<incoming>> to <<upgraded>>"
},
"$:/language/Import/Upgrader/State/Suppressed": {
"title": "$:/language/Import/Upgrader/State/Suppressed",
"text": "Blocked temporary state tiddler"
},
"$:/language/Import/Upgrader/System/Suppressed": {
"title": "$:/language/Import/Upgrader/System/Suppressed",
"text": "Blocked system tiddler"
},
"$:/language/Import/Upgrader/System/Warning": {
"title": "$:/language/Import/Upgrader/System/Warning",
"text": "Core module tiddler"
},
"$:/language/Import/Upgrader/System/Alert": {
"title": "$:/language/Import/Upgrader/System/Alert",
"text": "You are about to import a tiddler that will overwrite a core module tiddler. This is not recommended as it may make the system unstable"
},
"$:/language/Import/Upgrader/ThemeTweaks/Created": {
"title": "$:/language/Import/Upgrader/ThemeTweaks/Created",
"text": "Migrated theme tweak from <$text text=<<from>>/>"
},
"$:/language/AboveStory/ClassicPlugin/Warning": {
"title": "$:/language/AboveStory/ClassicPlugin/Warning",
"text": "It looks like you are trying to load a plugin designed for ~TiddlyWiki Classic. Please note that [[these plugins do not work with TiddlyWiki version 5.x.x|https://tiddlywiki.com/#TiddlyWikiClassic]]. ~TiddlyWiki Classic plugins detected:"
},
"$:/language/BinaryWarning/Prompt": {
"title": "$:/language/BinaryWarning/Prompt",
"text": "This tiddler contains binary data"
},
"$:/language/ClassicWarning/Hint": {
"title": "$:/language/ClassicWarning/Hint",
"text": "This tiddler is written in TiddlyWiki Classic wiki text format, which is not fully compatible with TiddlyWiki version 5. See https://tiddlywiki.com/static/Upgrading.html for more details."
},
"$:/language/ClassicWarning/Upgrade/Caption": {
"title": "$:/language/ClassicWarning/Upgrade/Caption",
"text": "upgrade"
},
"$:/language/CloseAll/Button": {
"title": "$:/language/CloseAll/Button",
"text": "close all"
},
"$:/language/ColourPicker/Recent": {
"title": "$:/language/ColourPicker/Recent",
"text": "Recent:"
},
"$:/language/ConfirmCancelTiddler": {
"title": "$:/language/ConfirmCancelTiddler",
"text": "Do you wish to discard changes to the tiddler \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmDeleteTiddler": {
"title": "$:/language/ConfirmDeleteTiddler",
"text": "Do you wish to delete the tiddler \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmOverwriteTiddler": {
"title": "$:/language/ConfirmOverwriteTiddler",
"text": "Do you wish to overwrite the tiddler \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmEditShadowTiddler": {
"title": "$:/language/ConfirmEditShadowTiddler",
"text": "You are about to edit a ShadowTiddler. Any changes will override the default system making future upgrades non-trivial. Are you sure you want to edit \"<$text text=<<title>>/>\"?"
},
"$:/language/Count": {
"title": "$:/language/Count",
"text": "count"
},
"$:/language/DefaultNewTiddlerTitle": {
"title": "$:/language/DefaultNewTiddlerTitle",
"text": "New Tiddler"
},
"$:/language/Diffs/CountMessage": {
"title": "$:/language/Diffs/CountMessage",
"text": "<<diff-count>> differences"
},
"$:/language/DropMessage": {
"title": "$:/language/DropMessage",
"text": "Drop here (or use the 'Escape' key to cancel)"
},
"$:/language/Encryption/Cancel": {
"title": "$:/language/Encryption/Cancel",
"text": "Cancel"
},
"$:/language/Encryption/ConfirmClearPassword": {
"title": "$:/language/Encryption/ConfirmClearPassword",
"text": "Do you wish to clear the password? This will remove the encryption applied when saving this wiki"
},
"$:/language/Encryption/PromptSetPassword": {
"title": "$:/language/Encryption/PromptSetPassword",
"text": "Set a new password for this TiddlyWiki"
},
"$:/language/Encryption/Username": {
"title": "$:/language/Encryption/Username",
"text": "Username"
},
"$:/language/Encryption/Password": {
"title": "$:/language/Encryption/Password",
"text": "Password"
},
"$:/language/Encryption/RepeatPassword": {
"title": "$:/language/Encryption/RepeatPassword",
"text": "Repeat password"
},
"$:/language/Encryption/PasswordNoMatch": {
"title": "$:/language/Encryption/PasswordNoMatch",
"text": "Passwords do not match"
},
"$:/language/Encryption/SetPassword": {
"title": "$:/language/Encryption/SetPassword",
"text": "Set password"
},
"$:/language/Error/Caption": {
"title": "$:/language/Error/Caption",
"text": "Error"
},
"$:/language/Error/EditConflict": {
"title": "$:/language/Error/EditConflict",
"text": "File changed on server"
},
"$:/language/Error/Filter": {
"title": "$:/language/Error/Filter",
"text": "Filter error"
},
"$:/language/Error/FilterSyntax": {
"title": "$:/language/Error/FilterSyntax",
"text": "Syntax error in filter expression"
},
"$:/language/Error/IsFilterOperator": {
"title": "$:/language/Error/IsFilterOperator",
"text": "Filter Error: Unknown operand for the 'is' filter operator"
},
"$:/language/Error/LoadingPluginLibrary": {
"title": "$:/language/Error/LoadingPluginLibrary",
"text": "Error loading plugin library"
},
"$:/language/Error/NetworkErrorAlert": {
"title": "$:/language/Error/NetworkErrorAlert",
"text": "`<h2>''Network Error''</h2>It looks like the connection to the server has been lost. This may indicate a problem with your network connection. Please attempt to restore network connectivity before continuing.<br><br>''Any unsaved changes will be automatically synchronised when connectivity is restored''.`"
},
"$:/language/Error/RecursiveTransclusion": {
"title": "$:/language/Error/RecursiveTransclusion",
"text": "Recursive transclusion error in transclude widget"
},
"$:/language/Error/RetrievingSkinny": {
"title": "$:/language/Error/RetrievingSkinny",
"text": "Error retrieving skinny tiddler list"
},
"$:/language/Error/SavingToTWEdit": {
"title": "$:/language/Error/SavingToTWEdit",
"text": "Error saving to TWEdit"
},
"$:/language/Error/WhileSaving": {
"title": "$:/language/Error/WhileSaving",
"text": "Error while saving"
},
"$:/language/Error/XMLHttpRequest": {
"title": "$:/language/Error/XMLHttpRequest",
"text": "XMLHttpRequest error code"
},
"$:/language/InternalJavaScriptError/Title": {
"title": "$:/language/InternalJavaScriptError/Title",
"text": "Internal JavaScript Error"
},
"$:/language/InternalJavaScriptError/Hint": {
"title": "$:/language/InternalJavaScriptError/Hint",
"text": "Well, this is embarrassing. It is recommended that you restart TiddlyWiki by refreshing your browser"
},
"$:/language/InvalidFieldName": {
"title": "$:/language/InvalidFieldName",
"text": "Illegal characters in field name \"<$text text=<<fieldName>>/>\". Fields can only contain lowercase letters, digits and the characters underscore (`_`), hyphen (`-`) and period (`.`)"
},
"$:/language/LazyLoadingWarning": {
"title": "$:/language/LazyLoadingWarning",
"text": "<p>Trying to load external content from ''<$text text={{!!_canonical_uri}}/>''</p><p>If this message doesn't disappear, either the tiddler content type doesn't match the type of the external content, or you may be using a browser that doesn't support external content for wikis loaded as standalone files. See https://tiddlywiki.com/#ExternalText</p>"
},
"$:/language/LoginToTiddlySpace": {
"title": "$:/language/LoginToTiddlySpace",
"text": "Login to TiddlySpace"
},
"$:/language/Manager/Controls/FilterByTag/None": {
"title": "$:/language/Manager/Controls/FilterByTag/None",
"text": "(none)"
},
"$:/language/Manager/Controls/FilterByTag/Prompt": {
"title": "$:/language/Manager/Controls/FilterByTag/Prompt",
"text": "Filter by tag:"
},
"$:/language/Manager/Controls/Order/Prompt": {
"title": "$:/language/Manager/Controls/Order/Prompt",
"text": "Reverse order"
},
"$:/language/Manager/Controls/Search/Placeholder": {
"title": "$:/language/Manager/Controls/Search/Placeholder",
"text": "Search"
},
"$:/language/Manager/Controls/Search/Prompt": {
"title": "$:/language/Manager/Controls/Search/Prompt",
"text": "Search:"
},
"$:/language/Manager/Controls/Show/Option/Tags": {
"title": "$:/language/Manager/Controls/Show/Option/Tags",
"text": "tags"
},
"$:/language/Manager/Controls/Show/Option/Tiddlers": {
"title": "$:/language/Manager/Controls/Show/Option/Tiddlers",
"text": "tiddlers"
},
"$:/language/Manager/Controls/Show/Prompt": {
"title": "$:/language/Manager/Controls/Show/Prompt",
"text": "Show:"
},
"$:/language/Manager/Controls/Sort/Prompt": {
"title": "$:/language/Manager/Controls/Sort/Prompt",
"text": "Sort by:"
},
"$:/language/Manager/Item/Colour": {
"title": "$:/language/Manager/Item/Colour",
"text": "Colour"
},
"$:/language/Manager/Item/Fields": {
"title": "$:/language/Manager/Item/Fields",
"text": "Fields"
},
"$:/language/Manager/Item/Icon/None": {
"title": "$:/language/Manager/Item/Icon/None",
"text": "(none)"
},
"$:/language/Manager/Item/Icon": {
"title": "$:/language/Manager/Item/Icon",
"text": "Icon"
},
"$:/language/Manager/Item/RawText": {
"title": "$:/language/Manager/Item/RawText",
"text": "Raw text"
},
"$:/language/Manager/Item/Tags": {
"title": "$:/language/Manager/Item/Tags",
"text": "Tags"
},
"$:/language/Manager/Item/Tools": {
"title": "$:/language/Manager/Item/Tools",
"text": "Tools"
},
"$:/language/Manager/Item/WikifiedText": {
"title": "$:/language/Manager/Item/WikifiedText",
"text": "Wikified text"
},
"$:/language/MissingTiddler/Hint": {
"title": "$:/language/MissingTiddler/Hint",
"text": "Missing tiddler \"<$text text=<<currentTiddler>>/>\" -- click {{||$:/core/ui/Buttons/edit}} to create"
},
"$:/language/No": {
"title": "$:/language/No",
"text": "No"
},
"$:/language/OfficialPluginLibrary": {
"title": "$:/language/OfficialPluginLibrary",
"text": "Official ~TiddlyWiki Plugin Library"
},
"$:/language/OfficialPluginLibrary/Hint": {
"title": "$:/language/OfficialPluginLibrary/Hint",
"text": "The official ~TiddlyWiki plugin library at tiddlywiki.com. Plugins, themes and language packs are maintained by the core team."
},
"$:/language/PluginReloadWarning": {
"title": "$:/language/PluginReloadWarning",
"text": "Please save {{$:/core/ui/Buttons/save-wiki}} and reload {{$:/core/ui/Buttons/refresh}} to allow changes to ~JavaScript plugins to take effect"
},
"$:/language/RecentChanges/DateFormat": {
"title": "$:/language/RecentChanges/DateFormat",
"text": "DDth MMM YYYY"
},
"$:/language/SystemTiddler/Tooltip": {
"title": "$:/language/SystemTiddler/Tooltip",
"text": "This is a system tiddler"
},
"$:/language/SystemTiddlers/Include/Prompt": {
"title": "$:/language/SystemTiddlers/Include/Prompt",
"text": "Include system tiddlers"
},
"$:/language/TagManager/Colour/Heading": {
"title": "$:/language/TagManager/Colour/Heading",
"text": "Colour"
},
"$:/language/TagManager/Count/Heading": {
"title": "$:/language/TagManager/Count/Heading",
"text": "Count"
},
"$:/language/TagManager/Icon/Heading": {
"title": "$:/language/TagManager/Icon/Heading",
"text": "Icon"
},
"$:/language/TagManager/Icons/None": {
"title": "$:/language/TagManager/Icons/None",
"text": "None"
},
"$:/language/TagManager/Info/Heading": {
"title": "$:/language/TagManager/Info/Heading",
"text": "Info"
},
"$:/language/TagManager/Tag/Heading": {
"title": "$:/language/TagManager/Tag/Heading",
"text": "Tag"
},
"$:/language/Tiddler/DateFormat": {
"title": "$:/language/Tiddler/DateFormat",
"text": "DDth MMM YYYY at hh12:0mmam"
},
"$:/language/UnsavedChangesWarning": {
"title": "$:/language/UnsavedChangesWarning",
"text": "You have unsaved changes in TiddlyWiki"
},
"$:/language/Yes": {
"title": "$:/language/Yes",
"text": "Yes"
},
"$:/language/Modals/Download": {
"title": "$:/language/Modals/Download",
"subtitle": "Download changes",
"footer": "<$button message=\"tm-close-tiddler\">Close</$button>",
"help": "https://tiddlywiki.com/static/DownloadingChanges.html",
"text": "Your browser only supports manual saving.\n\nTo save your modified wiki, right click on the download link below and select \"Download file\" or \"Save file\", and then choose the folder and filename.\n\n//You can marginally speed things up by clicking the link with the control key (Windows) or the options/alt key (Mac OS X). You will not be prompted for the folder or filename, but your browser is likely to give it an unrecognisable name -- you may need to rename the file to include an `.html` extension before you can do anything useful with it.//\n\nOn smartphones that do not allow files to be downloaded you can instead bookmark the link, and then sync your bookmarks to a desktop computer from where the wiki can be saved normally.\n"
},
"$:/language/Modals/SaveInstructions": {
"title": "$:/language/Modals/SaveInstructions",
"subtitle": "Save your work",
"footer": "<$button message=\"tm-close-tiddler\">Close</$button>",
"help": "https://tiddlywiki.com/static/SavingChanges.html",
"text": "Your changes to this wiki need to be saved as a ~TiddlyWiki HTML file.\n\n!!! Desktop browsers\n\n# Select ''Save As'' from the ''File'' menu\n# Choose a filename and location\n#* Some browsers also require you to explicitly specify the file saving format as ''Webpage, HTML only'' or similar\n# Close this tab\n\n!!! Smartphone browsers\n\n# Create a bookmark to this page\n#* If you've got iCloud or Google Sync set up then the bookmark will automatically sync to your desktop where you can open it and save it as above\n# Close this tab\n\n//If you open the bookmark again in Mobile Safari you will see this message again. If you want to go ahead and use the file, just click the ''close'' button below//\n"
},
"$:/config/NewJournal/Title": {
"title": "$:/config/NewJournal/Title",
"text": "DDth MMM YYYY"
},
"$:/config/NewJournal/Text": {
"title": "$:/config/NewJournal/Text",
"text": ""
},
"$:/config/NewJournal/Tags": {
"title": "$:/config/NewJournal/Tags",
"tags": "Journal"
},
"$:/language/Notifications/Save/Done": {
"title": "$:/language/Notifications/Save/Done",
"text": "Saved wiki"
},
"$:/language/Notifications/Save/Starting": {
"title": "$:/language/Notifications/Save/Starting",
"text": "Starting to save wiki"
},
"$:/language/Notifications/CopiedToClipboard/Succeeded": {
"title": "$:/language/Notifications/CopiedToClipboard/Succeeded",
"text": "Copied to clipboard!"
},
"$:/language/Notifications/CopiedToClipboard/Failed": {
"title": "$:/language/Notifications/CopiedToClipboard/Failed",
"text": "Failed to copy to clipboard!"
},
"$:/language/Search/DefaultResults/Caption": {
"title": "$:/language/Search/DefaultResults/Caption",
"text": "List"
},
"$:/language/Search/Filter/Caption": {
"title": "$:/language/Search/Filter/Caption",
"text": "Filter"
},
"$:/language/Search/Filter/Hint": {
"title": "$:/language/Search/Filter/Hint",
"text": "Search via a [[filter expression|https://tiddlywiki.com/static/Filters.html]]"
},
"$:/language/Search/Filter/Matches": {
"title": "$:/language/Search/Filter/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/Matches": {
"title": "$:/language/Search/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/Matches/All": {
"title": "$:/language/Search/Matches/All",
"text": "All matches:"
},
"$:/language/Search/Matches/Title": {
"title": "$:/language/Search/Matches/Title",
"text": "Title matches:"
},
"$:/language/Search/Search": {
"title": "$:/language/Search/Search",
"text": "Search"
},
"$:/language/Search/Search/TooShort": {
"title": "$:/language/Search/Search/TooShort",
"text": "Search text too short"
},
"$:/language/Search/Shadows/Caption": {
"title": "$:/language/Search/Shadows/Caption",
"text": "Shadows"
},
"$:/language/Search/Shadows/Hint": {
"title": "$:/language/Search/Shadows/Hint",
"text": "Search for shadow tiddlers"
},
"$:/language/Search/Shadows/Matches": {
"title": "$:/language/Search/Shadows/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/Standard/Caption": {
"title": "$:/language/Search/Standard/Caption",
"text": "Standard"
},
"$:/language/Search/Standard/Hint": {
"title": "$:/language/Search/Standard/Hint",
"text": "Search for standard tiddlers"
},
"$:/language/Search/Standard/Matches": {
"title": "$:/language/Search/Standard/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/System/Caption": {
"title": "$:/language/Search/System/Caption",
"text": "System"
},
"$:/language/Search/System/Hint": {
"title": "$:/language/Search/System/Hint",
"text": "Search for system tiddlers"
},
"$:/language/Search/System/Matches": {
"title": "$:/language/Search/System/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/SideBar/All/Caption": {
"title": "$:/language/SideBar/All/Caption",
"text": "All"
},
"$:/language/SideBar/Contents/Caption": {
"title": "$:/language/SideBar/Contents/Caption",
"text": "Contents"
},
"$:/language/SideBar/Drafts/Caption": {
"title": "$:/language/SideBar/Drafts/Caption",
"text": "Drafts"
},
"$:/language/SideBar/Explorer/Caption": {
"title": "$:/language/SideBar/Explorer/Caption",
"text": "Explorer"
},
"$:/language/SideBar/Missing/Caption": {
"title": "$:/language/SideBar/Missing/Caption",
"text": "Missing"
},
"$:/language/SideBar/More/Caption": {
"title": "$:/language/SideBar/More/Caption",
"text": "More"
},
"$:/language/SideBar/Open/Caption": {
"title": "$:/language/SideBar/Open/Caption",
"text": "Open"
},
"$:/language/SideBar/Orphans/Caption": {
"title": "$:/language/SideBar/Orphans/Caption",
"text": "Orphans"
},
"$:/language/SideBar/Recent/Caption": {
"title": "$:/language/SideBar/Recent/Caption",
"text": "Recent"
},
"$:/language/SideBar/Shadows/Caption": {
"title": "$:/language/SideBar/Shadows/Caption",
"text": "Shadows"
},
"$:/language/SideBar/System/Caption": {
"title": "$:/language/SideBar/System/Caption",
"text": "System"
},
"$:/language/SideBar/Tags/Caption": {
"title": "$:/language/SideBar/Tags/Caption",
"text": "Tags"
},
"$:/language/SideBar/Tags/Untagged/Caption": {
"title": "$:/language/SideBar/Tags/Untagged/Caption",
"text": "untagged"
},
"$:/language/SideBar/Tools/Caption": {
"title": "$:/language/SideBar/Tools/Caption",
"text": "Tools"
},
"$:/language/SideBar/Types/Caption": {
"title": "$:/language/SideBar/Types/Caption",
"text": "Types"
},
"$:/SiteSubtitle": {
"title": "$:/SiteSubtitle",
"text": "a non-linear personal web notebook"
},
"$:/SiteTitle": {
"title": "$:/SiteTitle",
"text": "My ~TiddlyWiki"
},
"$:/language/Snippets/ListByTag": {
"title": "$:/language/Snippets/ListByTag",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "List of tiddlers by tag",
"text": "<<list-links \"[tag[task]sort[title]]\">>\n"
},
"$:/language/Snippets/MacroDefinition": {
"title": "$:/language/Snippets/MacroDefinition",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Macro definition",
"text": "\\define macroName(param1:\"default value\",param2)\nText of the macro\n\\end\n"
},
"$:/language/Snippets/Table4x3": {
"title": "$:/language/Snippets/Table4x3",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Table with 4 columns by 3 rows",
"text": "|! |!Alpha |!Beta |!Gamma |!Delta |\n|!One | | | | |\n|!Two | | | | |\n|!Three | | | | |\n"
},
"$:/language/Snippets/TableOfContents": {
"title": "$:/language/Snippets/TableOfContents",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Table of Contents",
"text": "<div class=\"tc-table-of-contents\">\n\n<<toc-selective-expandable 'TableOfContents'>>\n\n</div>"
},
"$:/language/ThemeTweaks/ThemeTweaks": {
"title": "$:/language/ThemeTweaks/ThemeTweaks",
"text": "Theme Tweaks"
},
"$:/language/ThemeTweaks/ThemeTweaks/Hint": {
"title": "$:/language/ThemeTweaks/ThemeTweaks/Hint",
"text": "You can tweak certain aspects of the ''Vanilla'' theme."
},
"$:/language/ThemeTweaks/Options": {
"title": "$:/language/ThemeTweaks/Options",
"text": "Options"
},
"$:/language/ThemeTweaks/Options/SidebarLayout": {
"title": "$:/language/ThemeTweaks/Options/SidebarLayout",
"text": "Sidebar layout"
},
"$:/language/ThemeTweaks/Options/SidebarLayout/Fixed-Fluid": {
"title": "$:/language/ThemeTweaks/Options/SidebarLayout/Fixed-Fluid",
"text": "Fixed story, fluid sidebar"
},
"$:/language/ThemeTweaks/Options/SidebarLayout/Fluid-Fixed": {
"title": "$:/language/ThemeTweaks/Options/SidebarLayout/Fluid-Fixed",
"text": "Fluid story, fixed sidebar"
},
"$:/language/ThemeTweaks/Options/StickyTitles": {
"title": "$:/language/ThemeTweaks/Options/StickyTitles",
"text": "Sticky titles"
},
"$:/language/ThemeTweaks/Options/StickyTitles/Hint": {
"title": "$:/language/ThemeTweaks/Options/StickyTitles/Hint",
"text": "Causes tiddler titles to \"stick\" to the top of the browser window"
},
"$:/language/ThemeTweaks/Options/CodeWrapping": {
"title": "$:/language/ThemeTweaks/Options/CodeWrapping",
"text": "Wrap long lines in code blocks"
},
"$:/language/ThemeTweaks/Settings": {
"title": "$:/language/ThemeTweaks/Settings",
"text": "Settings"
},
"$:/language/ThemeTweaks/Settings/FontFamily": {
"title": "$:/language/ThemeTweaks/Settings/FontFamily",
"text": "Font family"
},
"$:/language/ThemeTweaks/Settings/CodeFontFamily": {
"title": "$:/language/ThemeTweaks/Settings/CodeFontFamily",
"text": "Code font family"
},
"$:/language/ThemeTweaks/Settings/EditorFontFamily": {
"title": "$:/language/ThemeTweaks/Settings/EditorFontFamily",
"text": "Editor font family"
},
"$:/language/ThemeTweaks/Settings/BackgroundImage": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImage",
"text": "Page background image"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment",
"text": "Page background image attachment"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Scroll": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Scroll",
"text": "Scroll with tiddlers"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Fixed": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Fixed",
"text": "Fixed to window"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize",
"text": "Page background image size"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Auto": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Auto",
"text": "Auto"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Cover": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Cover",
"text": "Cover"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Contain": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Contain",
"text": "Contain"
},
"$:/language/ThemeTweaks/Metrics": {
"title": "$:/language/ThemeTweaks/Metrics",
"text": "Sizes"
},
"$:/language/ThemeTweaks/Metrics/FontSize": {
"title": "$:/language/ThemeTweaks/Metrics/FontSize",
"text": "Font size"
},
"$:/language/ThemeTweaks/Metrics/LineHeight": {
"title": "$:/language/ThemeTweaks/Metrics/LineHeight",
"text": "Line height"
},
"$:/language/ThemeTweaks/Metrics/BodyFontSize": {
"title": "$:/language/ThemeTweaks/Metrics/BodyFontSize",
"text": "Font size for tiddler body"
},
"$:/language/ThemeTweaks/Metrics/BodyLineHeight": {
"title": "$:/language/ThemeTweaks/Metrics/BodyLineHeight",
"text": "Line height for tiddler body"
},
"$:/language/ThemeTweaks/Metrics/StoryLeft": {
"title": "$:/language/ThemeTweaks/Metrics/StoryLeft",
"text": "Story left position"
},
"$:/language/ThemeTweaks/Metrics/StoryLeft/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryLeft/Hint",
"text": "how far the left margin of the story river<br>(tiddler area) is from the left of the page"
},
"$:/language/ThemeTweaks/Metrics/StoryTop": {
"title": "$:/language/ThemeTweaks/Metrics/StoryTop",
"text": "Story top position"
},
"$:/language/ThemeTweaks/Metrics/StoryTop/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryTop/Hint",
"text": "how far the top margin of the story river<br>is from the top of the page"
},
"$:/language/ThemeTweaks/Metrics/StoryRight": {
"title": "$:/language/ThemeTweaks/Metrics/StoryRight",
"text": "Story right"
},
"$:/language/ThemeTweaks/Metrics/StoryRight/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryRight/Hint",
"text": "how far the left margin of the sidebar <br>is from the left of the page"
},
"$:/language/ThemeTweaks/Metrics/StoryWidth": {
"title": "$:/language/ThemeTweaks/Metrics/StoryWidth",
"text": "Story width"
},
"$:/language/ThemeTweaks/Metrics/StoryWidth/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryWidth/Hint",
"text": "the overall width of the story river"
},
"$:/language/ThemeTweaks/Metrics/TiddlerWidth": {
"title": "$:/language/ThemeTweaks/Metrics/TiddlerWidth",
"text": "Tiddler width"
},
"$:/language/ThemeTweaks/Metrics/TiddlerWidth/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/TiddlerWidth/Hint",
"text": "within the story river"
},
"$:/language/ThemeTweaks/Metrics/SidebarBreakpoint": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarBreakpoint",
"text": "Sidebar breakpoint"
},
"$:/language/ThemeTweaks/Metrics/SidebarBreakpoint/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarBreakpoint/Hint",
"text": "the minimum page width at which the story<br>river and sidebar will appear side by side"
},
"$:/language/ThemeTweaks/Metrics/SidebarWidth": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarWidth",
"text": "Sidebar width"
},
"$:/language/ThemeTweaks/Metrics/SidebarWidth/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarWidth/Hint",
"text": "the width of the sidebar in fluid-fixed layout"
},
"$:/language/TiddlerInfo/Advanced/Caption": {
"title": "$:/language/TiddlerInfo/Advanced/Caption",
"text": "Advanced"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint",
"text": "none"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Heading": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Heading",
"text": "Plugin Details"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Hint",
"text": "This plugin contains the following shadow tiddlers:"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading",
"text": "Shadow Status"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint",
"text": "The tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> is not a shadow tiddler"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint",
"text": "The tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> is a shadow tiddler"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source",
"text": "It is defined in the plugin <$link to=<<pluginTiddler>>><$text text=<<pluginTiddler>>/></$link>"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint",
"text": "It is overridden by an ordinary tiddler"
},
"$:/language/TiddlerInfo/Fields/Caption": {
"title": "$:/language/TiddlerInfo/Fields/Caption",
"text": "Fields"
},
"$:/language/TiddlerInfo/List/Caption": {
"title": "$:/language/TiddlerInfo/List/Caption",
"text": "List"
},
"$:/language/TiddlerInfo/List/Empty": {
"title": "$:/language/TiddlerInfo/List/Empty",
"text": "This tiddler does not have a list"
},
"$:/language/TiddlerInfo/Listed/Caption": {
"title": "$:/language/TiddlerInfo/Listed/Caption",
"text": "Listed"
},
"$:/language/TiddlerInfo/Listed/Empty": {
"title": "$:/language/TiddlerInfo/Listed/Empty",
"text": "This tiddler is not listed by any others"
},
"$:/language/TiddlerInfo/References/Caption": {
"title": "$:/language/TiddlerInfo/References/Caption",
"text": "References"
},
"$:/language/TiddlerInfo/References/Empty": {
"title": "$:/language/TiddlerInfo/References/Empty",
"text": "No tiddlers link to this one"
},
"$:/language/TiddlerInfo/Tagging/Caption": {
"title": "$:/language/TiddlerInfo/Tagging/Caption",
"text": "Tagging"
},
"$:/language/TiddlerInfo/Tagging/Empty": {
"title": "$:/language/TiddlerInfo/Tagging/Empty",
"text": "No tiddlers are tagged with this one"
},
"$:/language/TiddlerInfo/Tools/Caption": {
"title": "$:/language/TiddlerInfo/Tools/Caption",
"text": "Tools"
},
"$:/language/Docs/Types/application/javascript": {
"title": "$:/language/Docs/Types/application/javascript",
"description": "JavaScript code",
"name": "application/javascript",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/application/json": {
"title": "$:/language/Docs/Types/application/json",
"description": "JSON data",
"name": "application/json",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/application/x-tiddler-dictionary": {
"title": "$:/language/Docs/Types/application/x-tiddler-dictionary",
"description": "Data dictionary",
"name": "application/x-tiddler-dictionary",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/image/gif": {
"title": "$:/language/Docs/Types/image/gif",
"description": "GIF image",
"name": "image/gif",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/jpeg": {
"title": "$:/language/Docs/Types/image/jpeg",
"description": "JPEG image",
"name": "image/jpeg",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/png": {
"title": "$:/language/Docs/Types/image/png",
"description": "PNG image",
"name": "image/png",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/svg+xml": {
"title": "$:/language/Docs/Types/image/svg+xml",
"description": "Structured Vector Graphics image",
"name": "image/svg+xml",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/x-icon": {
"title": "$:/language/Docs/Types/image/x-icon",
"description": "ICO format icon file",
"name": "image/x-icon",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/text/css": {
"title": "$:/language/Docs/Types/text/css",
"description": "Static stylesheet",
"name": "text/css",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/text/html": {
"title": "$:/language/Docs/Types/text/html",
"description": "HTML markup",
"name": "text/html",
"group": "Text",
"group-sort": "0"
},
"$:/language/Docs/Types/text/plain": {
"title": "$:/language/Docs/Types/text/plain",
"description": "Plain text",
"name": "text/plain",
"group": "Text",
"group-sort": "0"
},
"$:/language/Docs/Types/text/vnd.tiddlywiki": {
"title": "$:/language/Docs/Types/text/vnd.tiddlywiki",
"description": "TiddlyWiki 5",
"name": "text/vnd.tiddlywiki",
"group": "Text",
"group-sort": "0"
},
"$:/language/Docs/Types/text/x-tiddlywiki": {
"title": "$:/language/Docs/Types/text/x-tiddlywiki",
"description": "TiddlyWiki Classic",
"name": "text/x-tiddlywiki",
"group": "Text",
"group-sort": "0"
},
"$:/languages/en-GB/icon": {
"title": "$:/languages/en-GB/icon",
"type": "image/svg+xml",
"text": "<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 60 30\" width=\"1200\" height=\"600\">\n<clipPath id=\"t\">\n\t<path d=\"M30,15 h30 v15 z v15 h-30 z h-30 v-15 z v-15 h30 z\"/>\n</clipPath>\n<path d=\"M0,0 v30 h60 v-30 z\" fill=\"#00247d\"/>\n<path d=\"M0,0 L60,30 M60,0 L0,30\" stroke=\"#fff\" stroke-width=\"6\"/>\n<path d=\"M0,0 L60,30 M60,0 L0,30\" clip-path=\"url(#t)\" stroke=\"#cf142b\" stroke-width=\"4\"/>\n<path d=\"M30,0 v30 M0,15 h60\" stroke=\"#fff\" stroke-width=\"10\"/>\n<path d=\"M30,0 v30 M0,15 h60\" stroke=\"#cf142b\" stroke-width=\"6\"/>\n</svg>\n"
},
"$:/languages/en-GB": {
"title": "$:/languages/en-GB",
"name": "en-GB",
"description": "English (British)",
"author": "JeremyRuston",
"core-version": ">=5.0.0\"",
"text": "Stub pseudo-plugin for the default language"
},
"$:/core/modules/commander.js": {
"title": "$:/core/modules/commander.js",
"text": "/*\\\ntitle: $:/core/modules/commander.js\ntype: application/javascript\nmodule-type: global\n\nThe $tw.Commander class is a command interpreter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParse a sequence of commands\n\tcommandTokens: an array of command string tokens\n\twiki: reference to the wiki store object\n\tstreams: {output:, error:}, each of which has a write(string) method\n\tcallback: a callback invoked as callback(err) where err is null if there was no error\n*/\nvar Commander = function(commandTokens,callback,wiki,streams) {\n\tvar path = require(\"path\");\n\tthis.commandTokens = commandTokens;\n\tthis.nextToken = 0;\n\tthis.callback = callback;\n\tthis.wiki = wiki;\n\tthis.streams = streams;\n\tthis.outputPath = path.resolve($tw.boot.wikiPath,$tw.config.wikiOutputSubDir);\n};\n\n/*\nLog a string if verbose flag is set\n*/\nCommander.prototype.log = function(str) {\n\tif(this.verbose) {\n\t\tthis.streams.output.write(str + \"\\n\");\n\t}\n};\n\n/*\nWrite a string if verbose flag is set\n*/\nCommander.prototype.write = function(str) {\n\tif(this.verbose) {\n\t\tthis.streams.output.write(str);\n\t}\n};\n\n/*\nAdd a string of tokens to the command queue\n*/\nCommander.prototype.addCommandTokens = function(commandTokens) {\n\tvar params = commandTokens.slice(0);\n\tparams.unshift(0);\n\tparams.unshift(this.nextToken);\n\tArray.prototype.splice.apply(this.commandTokens,params);\n};\n\n/*\nExecute the sequence of commands and invoke a callback on completion\n*/\nCommander.prototype.execute = function() {\n\tthis.executeNextCommand();\n};\n\n/*\nExecute the next command in the sequence\n*/\nCommander.prototype.executeNextCommand = function() {\n\tvar self = this;\n\t// Invoke the callback if there are no more commands\n\tif(this.nextToken >= this.commandTokens.length) {\n\t\tthis.callback(null);\n\t} else {\n\t\t// Get and check the command token\n\t\tvar commandName = this.commandTokens[this.nextToken++];\n\t\tif(commandName.substr(0,2) !== \"--\") {\n\t\t\tthis.callback(\"Missing command: \" + commandName);\n\t\t} else {\n\t\t\tcommandName = commandName.substr(2); // Trim off the --\n\t\t\t// Accumulate the parameters to the command\n\t\t\tvar params = [];\n\t\t\twhile(this.nextToken < this.commandTokens.length && \n\t\t\t\tthis.commandTokens[this.nextToken].substr(0,2) !== \"--\") {\n\t\t\t\tparams.push(this.commandTokens[this.nextToken++]);\n\t\t\t}\n\t\t\t// Get the command info\n\t\t\tvar command = $tw.commands[commandName],\n\t\t\t\tc,err;\n\t\t\tif(!command) {\n\t\t\t\tthis.callback(\"Unknown command: \" + commandName);\n\t\t\t} else {\n\t\t\t\tif(this.verbose) {\n\t\t\t\t\tthis.streams.output.write(\"Executing command: \" + commandName + \" \" + params.join(\" \") + \"\\n\");\n\t\t\t\t}\n\t\t\t\t// Parse named parameters if required\n\t\t\t\tif(command.info.namedParameterMode) {\n\t\t\t\t\tparams = this.extractNamedParameters(params,command.info.mandatoryParameters);\n\t\t\t\t\tif(typeof params === \"string\") {\n\t\t\t\t\t\treturn this.callback(params);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(command.info.synchronous) {\n\t\t\t\t\t// Synchronous command\n\t\t\t\t\tc = new command.Command(params,this);\n\t\t\t\t\terr = c.execute();\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\tthis.callback(err);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthis.executeNextCommand();\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// Asynchronous command\n\t\t\t\t\tc = new command.Command(params,this,function(err) {\n\t\t\t\t\t\tif(err) {\n\t\t\t\t\t\t\tself.callback(err);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tself.executeNextCommand();\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t\terr = c.execute();\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\tthis.callback(err);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n};\n\n/*\nGiven an array of parameter strings `params` in name:value format, and an array of mandatory parameter names in `mandatoryParameters`, returns a hashmap of values or a string if error\n*/\nCommander.prototype.extractNamedParameters = function(params,mandatoryParameters) {\n\tmandatoryParameters = mandatoryParameters || [];\n\tvar errors = [],\n\t\tparamsByName = Object.create(null);\n\t// Extract the parameters\n\t$tw.utils.each(params,function(param) {\n\t\tvar index = param.indexOf(\"=\");\n\t\tif(index < 1) {\n\t\t\terrors.push(\"malformed named parameter: '\" + param + \"'\");\n\t\t}\n\t\tparamsByName[param.slice(0,index)] = $tw.utils.trim(param.slice(index+1));\n\t});\n\t// Check the mandatory parameters are present\n\t$tw.utils.each(mandatoryParameters,function(mandatoryParameter) {\n\t\tif(!$tw.utils.hop(paramsByName,mandatoryParameter)) {\n\t\t\terrors.push(\"missing mandatory parameter: '\" + mandatoryParameter + \"'\");\n\t\t}\n\t});\n\t// Return any errors\n\tif(errors.length > 0) {\n\t\treturn errors.join(\" and\\n\");\n\t} else {\n\t\treturn paramsByName;\t\t\n\t}\n};\n\nCommander.initCommands = function(moduleType) {\n\tmoduleType = moduleType || \"command\";\n\t$tw.commands = {};\n\t$tw.modules.forEachModuleOfType(moduleType,function(title,module) {\n\t\tvar c = $tw.commands[module.info.name] = {};\n\t\t// Add the methods defined by the module\n\t\tfor(var f in module) {\n\t\t\tif($tw.utils.hop(module,f)) {\n\t\t\t\tc[f] = module[f];\n\t\t\t}\n\t\t}\n\t});\n};\n\nexports.Commander = Commander;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/commands/build.js": {
"title": "$:/core/modules/commands/build.js",
"text": "/*\\\ntitle: $:/core/modules/commands/build.js\ntype: application/javascript\nmodule-type: command\n\nCommand to build a build target\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"build\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\t// Get the build targets defined in the wiki\n\tvar buildTargets = $tw.boot.wikiInfo.build;\n\tif(!buildTargets) {\n\t\treturn \"No build targets defined\";\n\t}\n\t// Loop through each of the specified targets\n\tvar targets;\n\tif(this.params.length > 0) {\n\t\ttargets = this.params;\n\t} else {\n\t\ttargets = Object.keys(buildTargets);\n\t}\n\tfor(var targetIndex=0; targetIndex<targets.length; targetIndex++) {\n\t\tvar target = targets[targetIndex],\n\t\t\tcommands = buildTargets[target];\n\t\tif(!commands) {\n\t\t\treturn \"Build target '\" + target + \"' not found\";\n\t\t}\n\t\t// Add the commands to the queue\n\t\tthis.commander.addCommandTokens(commands);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/clearpassword.js": {
"title": "$:/core/modules/commands/clearpassword.js",
"text": "/*\\\ntitle: $:/core/modules/commands/clearpassword.js\ntype: application/javascript\nmodule-type: command\n\nClear password for crypto operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"clearpassword\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\t$tw.crypto.setPassword(null);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/deletetiddlers.js": {
"title": "$:/core/modules/commands/deletetiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/deletetiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to delete tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"deletetiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filter\";\n\t}\n\tvar self = this,\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\twiki.deleteTiddler(title);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/editions.js": {
"title": "$:/core/modules/commands/editions.js",
"text": "/*\\\ntitle: $:/core/modules/commands/editions.js\ntype: application/javascript\nmodule-type: command\n\nCommand to list the available editions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"editions\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this;\n\t// Output the list\n\tthis.commander.streams.output.write(\"Available editions:\\n\\n\");\n\tvar editionInfo = $tw.utils.getEditionInfo();\n\t$tw.utils.each(editionInfo,function(info,name) {\n\t\tself.commander.streams.output.write(\" \" + name + \": \" + info.description + \"\\n\");\n\t});\n\tthis.commander.streams.output.write(\"\\n\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/fetch.js": {
"title": "$:/core/modules/commands/fetch.js",
"text": "/*\\\ntitle: $:/core/modules/commands/fetch.js\ntype: application/javascript\nmodule-type: command\n\nCommands to fetch external tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"fetch\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing subcommand and url\";\n\t}\n\tswitch(this.params[0]) {\n\t\tcase \"raw-file\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\traw: true,\n\t\t\t\turl: this.params[1],\n\t\t\t\ttransformFilter: this.params[2] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"file\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\turl: this.params[1],\n\t\t\t\timportFilter: this.params[2],\n\t\t\t\ttransformFilter: this.params[3] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"raw-files\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\traw: true,\n\t\t\t\turlFilter: this.params[1],\n\t\t\t\ttransformFilter: this.params[2] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"files\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\turlFilter: this.params[1],\n\t\t\t\timportFilter: this.params[2],\n\t\t\t\ttransformFilter: this.params[3] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t}\n\treturn null;\n};\n\nCommand.prototype.fetchFiles = function(options) {\n\tvar self = this;\n\t// Get the list of URLs\n\tvar urls;\n\tif(options.url) {\n\t\turls = [options.url]\n\t} else if(options.urlFilter) {\n\t\turls = $tw.wiki.filterTiddlers(options.urlFilter);\n\t} else {\n\t\treturn \"Missing URL\";\n\t}\n\t// Process each URL in turn\n\tvar next = 0;\n\tvar getNextFile = function(err) {\n\t\tif(err) {\n\t\t\treturn options.callback(err);\n\t\t}\n\t\tif(next < urls.length) {\n\t\t\tself.fetchFile(urls[next++],options,getNextFile);\n\t\t} else {\n\t\t\toptions.callback(null);\n\t\t}\n\t};\n\tgetNextFile(null);\n\t// Success\n\treturn null;\n};\n\nCommand.prototype.fetchFile = function(url,options,callback,redirectCount) {\n\tif(redirectCount > 10) {\n\t\treturn callback(\"Error too many redirects retrieving \" + url);\n\t}\n\tvar self = this,\n\t\tlib = url.substr(0,8) === \"https://\" ? require(\"https\") : require(\"http\");\n\tlib.get(url).on(\"response\",function(response) {\n\t var type = (response.headers[\"content-type\"] || \"\").split(\";\")[0],\n\t \tdata = [];\n\t self.commander.write(\"Reading \" + url + \": \");\n\t response.on(\"data\",function(chunk) {\n\t data.push(chunk);\n\t self.commander.write(\".\");\n\t });\n\t response.on(\"end\",function() {\n\t self.commander.write(\"\\n\");\n\t if(response.statusCode === 200) {\n\t\t self.processBody(Buffer.concat(data),type,options,url);\n\t\t callback(null);\n\t } else {\n\t \tif(response.statusCode === 302 || response.statusCode === 303 || response.statusCode === 307) {\n\t \t\treturn self.fetchFile(response.headers.location,options,callback,redirectCount + 1);\n\t \t} else {\n\t\t \treturn callback(\"Error \" + response.statusCode + \" retrieving \" + url)\t \t\t\n\t \t}\n\t }\n\t \t});\n\t \tresponse.on(\"error\",function(e) {\n\t\t\tconsole.log(\"Error on GET request: \" + e);\n\t\t\tcallback(e);\n\t \t});\n\t});\n\treturn null;\n};\n\nCommand.prototype.processBody = function(body,type,options,url) {\n\tvar self = this;\n\t// Collect the tiddlers in a wiki\n\tvar incomingWiki = new $tw.Wiki();\n\tif(options.raw) {\n\t\tvar typeInfo = type ? $tw.config.contentTypeInfo[type] : null,\n\t\t\tencoding = typeInfo ? typeInfo.encoding : \"utf8\";\n\t\tincomingWiki.addTiddler(new $tw.Tiddler({\n\t\t\ttitle: url,\n\t\t\ttype: type,\n\t\t\ttext: body.toString(encoding)\n\t\t}));\n\t} else {\n\t\t// Deserialise the file to extract the tiddlers\n\t\tvar tiddlers = this.commander.wiki.deserializeTiddlers(type || \"text/html\",body.toString(\"utf8\"),{});\n\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\tincomingWiki.addTiddler(new $tw.Tiddler(tiddler));\n\t\t});\n\t}\n\t// Filter the tiddlers to select the ones we want\n\tvar filteredTitles = incomingWiki.filterTiddlers(options.importFilter || \"[all[tiddlers]]\");\n\t// Import the selected tiddlers\n\tvar count = 0;\n\tincomingWiki.each(function(tiddler,title) {\n\t\tif(filteredTitles.indexOf(title) !== -1) {\n\t\t\tvar newTiddler;\n\t\t\tif(options.transformFilter) {\n\t\t\t\tvar transformedTitle = (incomingWiki.filterTiddlers(options.transformFilter,null,self.commander.wiki.makeTiddlerIterator([title])) || [\"\"])[0];\n\t\t\t\tif(transformedTitle) {\n\t\t\t\t\tself.commander.log(\"Importing \" + title + \" as \" + transformedTitle)\n\t\t\t\t\tnewTiddler = new $tw.Tiddler(tiddler,{title: transformedTitle});\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tself.commander.log(\"Importing \" + title)\n\t\t\t\tnewTiddler = tiddler;\n\t\t\t}\n\t\t\tself.commander.wiki.importTiddler(newTiddler);\n\t\t\tcount++;\n\t\t}\n\t});\n\tself.commander.log(\"Imported \" + count + \" tiddlers\")\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/help.js": {
"title": "$:/core/modules/commands/help.js",
"text": "/*\\\ntitle: $:/core/modules/commands/help.js\ntype: application/javascript\nmodule-type: command\n\nHelp command\n\n\\*/\n(function(){\n\n/*jshint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"help\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar subhelp = this.params[0] || \"default\",\n\t\thelpBase = \"$:/language/Help/\",\n\t\ttext;\n\tif(!this.commander.wiki.getTiddler(helpBase + subhelp)) {\n\t\tsubhelp = \"notfound\";\n\t}\n\t// Wikify the help as formatted text (ie block elements generate newlines)\n\ttext = this.commander.wiki.renderTiddler(\"text/plain-formatted\",helpBase + subhelp);\n\t// Remove any leading linebreaks\n\ttext = text.replace(/^(\\r?\\n)*/g,\"\");\n\tthis.commander.streams.output.write(text);\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/import.js": {
"title": "$:/core/modules/commands/import.js",
"text": "/*\\\ntitle: $:/core/modules/commands/import.js\ntype: application/javascript\nmodule-type: command\n\nCommand to import tiddlers from a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"import\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 2) {\n\t\treturn \"Missing parameters\";\n\t}\n\tvar filename = self.params[0],\n\t\tdeserializer = self.params[1],\n\t\ttitle = self.params[2] || filename,\n\t\tencoding = self.params[3] || \"utf8\",\n\t\ttext = fs.readFileSync(filename,encoding),\n\t\ttiddlers = this.commander.wiki.deserializeTiddlers(null,text,{title: title},{deserializer: deserializer});\n\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\tself.commander.wiki.importTiddler(new $tw.Tiddler(tiddler));\n\t});\n\tthis.commander.log(tiddlers.length + \" tiddler(s) imported\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/init.js": {
"title": "$:/core/modules/commands/init.js",
"text": "/*\\\ntitle: $:/core/modules/commands/init.js\ntype: application/javascript\nmodule-type: command\n\nCommand to initialise an empty wiki folder\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"init\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar fs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\t// Check that we don't already have a valid wiki folder\n\tif($tw.boot.wikiTiddlersPath || ($tw.utils.isDirectory($tw.boot.wikiPath) && !$tw.utils.isDirectoryEmpty($tw.boot.wikiPath))) {\n\t\treturn \"Wiki folder is not empty\";\n\t}\n\t// Loop through each of the specified editions\n\tvar editions = this.params.length > 0 ? this.params : [\"empty\"];\n\tfor(var editionIndex=0; editionIndex<editions.length; editionIndex++) {\n\t\tvar editionName = editions[editionIndex];\n\t\t// Check the edition exists\n\t\tvar editionPath = $tw.findLibraryItem(editionName,$tw.getLibraryItemSearchPaths($tw.config.editionsPath,$tw.config.editionsEnvVar));\n\t\tif(!$tw.utils.isDirectory(editionPath)) {\n\t\t\treturn \"Edition '\" + editionName + \"' not found\";\n\t\t}\n\t\t// Copy the edition content\n\t\tvar err = $tw.utils.copyDirectory(editionPath,$tw.boot.wikiPath);\n\t\tif(!err) {\n\t\t\tthis.commander.streams.output.write(\"Copied edition '\" + editionName + \"' to \" + $tw.boot.wikiPath + \"\\n\");\n\t\t} else {\n\t\t\treturn err;\n\t\t}\n\t}\n\t// Tweak the tiddlywiki.info to remove any included wikis\n\tvar packagePath = $tw.boot.wikiPath + \"/tiddlywiki.info\",\n\t\tpackageJson = JSON.parse(fs.readFileSync(packagePath));\n\tdelete packageJson.includeWikis;\n\tfs.writeFileSync(packagePath,JSON.stringify(packageJson,null,$tw.config.preferences.jsonSpaces));\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/listen.js": {
"title": "$:/core/modules/commands/listen.js",
"text": "/*\\\ntitle: $:/core/modules/commands/listen.js\ntype: application/javascript\nmodule-type: command\n\nListen for HTTP requests and serve tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Server = require(\"$:/core/modules/server/server.js\").Server;\n\nexports.info = {\n\tname: \"listen\",\n\tsynchronous: true,\n\tnamedParameterMode: true,\n\tmandatoryParameters: [],\n};\n\nvar Command = function(params,commander,callback) {\n\tvar self = this;\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this;\n\tif(!$tw.boot.wikiTiddlersPath) {\n\t\t$tw.utils.warning(\"Warning: Wiki folder '\" + $tw.boot.wikiPath + \"' does not exist or is missing a tiddlywiki.info file\");\n\t}\n\t// Set up server\n\tthis.server = new Server({\n\t\twiki: this.commander.wiki,\n\t\tvariables: self.params\n\t});\n\tvar nodeServer = this.server.listen();\n\t$tw.hooks.invokeHook(\"th-server-command-post-start\",this.server,nodeServer,\"tiddlywiki\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/load.js": {
"title": "$:/core/modules/commands/load.js",
"text": "/*\\\ntitle: $:/core/modules/commands/load.js\ntype: application/javascript\nmodule-type: command\n\nCommand to load tiddlers from a file or directory\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"load\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar tiddlers = $tw.loadTiddlersFromPath(self.params[0]),\n\t\tcount = 0;\n\t$tw.utils.each(tiddlers,function(tiddlerInfo) {\n\t\t$tw.utils.each(tiddlerInfo.tiddlers,function(tiddler) {\n\t\t\tself.commander.wiki.importTiddler(new $tw.Tiddler(tiddler));\n\t\t\tcount++;\n\t\t});\n\t});\n\tif(!count && self.params[1] !== \"noerror\") {\n\t\tself.callback(\"No tiddlers found in file \\\"\" + self.params[0] + \"\\\"\");\n\t} else {\n\t\tself.callback(null);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/makelibrary.js": {
"title": "$:/core/modules/commands/makelibrary.js",
"text": "/*\\\ntitle: $:/core/modules/commands/makelibrary.js\ntype: application/javascript\nmodule-type: command\n\nCommand to pack all of the plugins in the library into a plugin tiddler of type \"library\"\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"makelibrary\",\n\tsynchronous: true\n};\n\nvar UPGRADE_LIBRARY_TITLE = \"$:/UpgradeLibrary\";\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar wiki = this.commander.wiki,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\tupgradeLibraryTitle = this.params[0] || UPGRADE_LIBRARY_TITLE,\n\t\ttiddlers = {};\n\t// Collect up the library plugins\n\tvar collectPlugins = function(folder) {\n\t\t\tvar pluginFolders = fs.readdirSync(folder);\n\t\t\tfor(var p=0; p<pluginFolders.length; p++) {\n\t\t\t\tif(!$tw.boot.excludeRegExp.test(pluginFolders[p])) {\n\t\t\t\t\tpluginFields = $tw.loadPluginFolder(path.resolve(folder,\"./\" + pluginFolders[p]));\n\t\t\t\t\tif(pluginFields && pluginFields.title) {\n\t\t\t\t\t\ttiddlers[pluginFields.title] = pluginFields;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\tcollectPublisherPlugins = function(folder) {\n\t\t\tvar publisherFolders = fs.readdirSync(folder);\n\t\t\tfor(var t=0; t<publisherFolders.length; t++) {\n\t\t\t\tif(!$tw.boot.excludeRegExp.test(publisherFolders[t])) {\n\t\t\t\t\tcollectPlugins(path.resolve(folder,\"./\" + publisherFolders[t]));\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.pluginsPath,$tw.config.pluginsEnvVar),collectPublisherPlugins);\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.themesPath,$tw.config.themesEnvVar),collectPublisherPlugins);\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.languagesPath,$tw.config.languagesEnvVar),collectPlugins);\n\t// Save the upgrade library tiddler\n\tvar pluginFields = {\n\t\ttitle: upgradeLibraryTitle,\n\t\ttype: \"application/json\",\n\t\t\"plugin-type\": \"library\",\n\t\t\"text\": JSON.stringify({tiddlers: tiddlers})\n\t};\n\twiki.addTiddler(new $tw.Tiddler(pluginFields));\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/output.js": {
"title": "$:/core/modules/commands/output.js",
"text": "/*\\\ntitle: $:/core/modules/commands/output.js\ntype: application/javascript\nmodule-type: command\n\nCommand to set the default output location (defaults to current working directory)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"output\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar fs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 1) {\n\t\treturn \"Missing output path\";\n\t}\n\tthis.commander.outputPath = path.resolve(process.cwd(),this.params[0]);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/password.js": {
"title": "$:/core/modules/commands/password.js",
"text": "/*\\\ntitle: $:/core/modules/commands/password.js\ntype: application/javascript\nmodule-type: command\n\nSave password for crypto operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"password\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing password\";\n\t}\n\t$tw.crypto.setPassword(this.params[0]);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/render.js": {
"title": "$:/core/modules/commands/render.js",
"text": "/*\\\ntitle: $:/core/modules/commands/render.js\ntype: application/javascript\nmodule-type: command\n\nRender individual tiddlers and save the results to the specified files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"render\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing tiddler filter\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\ttiddlerFilter = this.params[0],\n\t\tfilenameFilter = this.params[1] || \"[is[tiddler]addsuffix[.html]]\",\n\t\ttype = this.params[2] || \"text/html\",\n\t\ttemplate = this.params[3],\n\t\tvarName = this.params[4],\n\t\tvarValue = this.params[5],\n\t\ttiddlers = wiki.filterTiddlers(tiddlerFilter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(template || title),\n\t\t\tvariables = {currentTiddler: title};\n\t\tif(varName) {\n\t\t\tvariables[varName] = varValue || \"\";\n\t\t}\n\t\tvar widgetNode = wiki.makeWidget(parser,{variables: variables}),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\tvar text = type === \"text/html\" ? container.innerHTML : container.textContent,\n\t\t\tfilepath = path.resolve(self.commander.outputPath,wiki.filterTiddlers(filenameFilter,$tw.rootWidget,wiki.makeTiddlerIterator([title]))[0]);\n\t\tif(self.commander.verbose) {\n\t\t\tconsole.log(\"Rendering \\\"\" + title + \"\\\" to \\\"\" + filepath + \"\\\"\");\n\t\t}\n\t\t$tw.utils.createFileDirectories(filepath);\n\t\tfs.writeFileSync(filepath,text,\"utf8\");\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/rendertiddler.js": {
"title": "$:/core/modules/commands/rendertiddler.js",
"text": "/*\\\ntitle: $:/core/modules/commands/rendertiddler.js\ntype: application/javascript\nmodule-type: command\n\nCommand to render a tiddler and save it to a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"rendertiddler\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\ttitle = this.params[0],\n\t\tfilename = path.resolve(this.commander.outputPath,this.params[1]),\n\t\ttype = this.params[2] || \"text/html\",\n\t\ttemplate = this.params[3],\n\t\tname = this.params[4],\n\t\tvalue = this.params[5],\n\t\tvariables = {};\n\t$tw.utils.createFileDirectories(filename);\n\tif(template) {\n\t\tvariables.currentTiddler = title;\n\t\ttitle = template;\n\t}\n\tif(name && value) {\n\t\tvariables[name] = value;\n\t}\n\tfs.writeFile(filename,this.commander.wiki.renderTiddler(type,title,{variables: variables}),\"utf8\",function(err) {\n\t\tself.callback(err);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/rendertiddlers.js": {
"title": "$:/core/modules/commands/rendertiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/rendertiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to render several tiddlers to a folder of files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"rendertiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\ttemplate = this.params[1],\n\t\toutputPath = this.commander.outputPath,\n\t\tpathname = path.resolve(outputPath,this.params[2]),\t\t\n\t\ttype = this.params[3] || \"text/html\",\n\t\textension = this.params[4] || \".html\",\n\t\tdeleteDirectory = (this.params[5] || \"\").toLowerCase() !== \"noclean\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\tif(deleteDirectory) {\n\t\t$tw.utils.deleteDirectory(pathname);\n\t}\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(template),\n\t\t\twidgetNode = wiki.makeWidget(parser,{variables: {currentTiddler: title}}),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\tvar text = type === \"text/html\" ? container.innerHTML : container.textContent,\n\t\t\texportPath = null;\n\t\tif($tw.utils.hop($tw.macros,\"tv-get-export-path\")) {\n\t\t\tvar macroPath = $tw.macros[\"tv-get-export-path\"].run.apply(self,[title]);\n\t\t\tif(macroPath) {\n\t\t\t\texportPath = path.resolve(outputPath,macroPath + extension);\n\t\t\t}\n\t\t}\n\t\tvar finalPath = exportPath || path.resolve(pathname,encodeURIComponent(title) + extension);\n\t\t$tw.utils.createFileDirectories(finalPath);\n\t\tfs.writeFileSync(finalPath,text,\"utf8\");\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/save.js": {
"title": "$:/core/modules/commands/save.js",
"text": "/*\\\ntitle: $:/core/modules/commands/save.js\ntype: application/javascript\nmodule-type: command\n\nSaves individual tiddlers in their raw text or binary format to the specified files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"save\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename filter\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\ttiddlerFilter = this.params[0],\n\t\tfilenameFilter = this.params[1] || \"[is[tiddler]]\",\n\t\ttiddlers = wiki.filterTiddlers(tiddlerFilter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.commander.wiki.getTiddler(title),\n\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"},\n\t\t\tfilepath = path.resolve(self.commander.outputPath,wiki.filterTiddlers(filenameFilter,$tw.rootWidget,wiki.makeTiddlerIterator([title]))[0]);\n\t\tif(self.commander.verbose) {\n\t\t\tconsole.log(\"Saving \\\"\" + title + \"\\\" to \\\"\" + filepath + \"\\\"\");\n\t\t}\n\t\t$tw.utils.createFileDirectories(filepath);\n\t\tfs.writeFileSync(filepath,tiddler.fields.text,contentTypeInfo.encoding);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savelibrarytiddlers.js": {
"title": "$:/core/modules/commands/savelibrarytiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savelibrarytiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the subtiddlers of a bundle tiddler as a series of JSON files\n\n--savelibrarytiddlers <tiddler> <pathname> <skinnylisting>\n\nThe tiddler identifies the bundle tiddler that contains the subtiddlers.\n\nThe pathname specifies the pathname to the folder in which the JSON files should be saved. The filename is the URL encoded title of the subtiddler.\n\nThe skinnylisting specifies the title of the tiddler to which a JSON catalogue of the subtiddlers will be saved. The JSON file contains the same data as the bundle tiddler but with the `text` field removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savelibrarytiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\tcontainerTitle = this.params[0],\n\t\tfilter = this.params[1],\n\t\tbasepath = this.params[2],\n\t\tskinnyListTitle = this.params[3];\n\t// Get the container tiddler as data\n\tvar containerData = self.commander.wiki.getTiddlerDataCached(containerTitle,undefined);\n\tif(!containerData) {\n\t\treturn \"'\" + containerTitle + \"' is not a tiddler bundle\";\n\t}\n\t// Filter the list of plugins\n\tvar pluginList = [];\n\t$tw.utils.each(containerData.tiddlers,function(tiddler,title) {\n\t\tpluginList.push(title);\n\t});\n\tvar filteredPluginList;\n\tif(filter) {\n\t\tfilteredPluginList = self.commander.wiki.filterTiddlers(filter,null,self.commander.wiki.makeTiddlerIterator(pluginList));\n\t} else {\n\t\tfilteredPluginList = pluginList;\n\t}\n\t// Iterate through the plugins\n\tvar skinnyList = [];\n\t$tw.utils.each(filteredPluginList,function(title) {\n\t\tvar tiddler = containerData.tiddlers[title];\n\t\t// Save each JSON file and collect the skinny data\n\t\tvar pathname = path.resolve(self.commander.outputPath,basepath + encodeURIComponent(title) + \".json\");\n\t\t$tw.utils.createFileDirectories(pathname);\n\t\tfs.writeFileSync(pathname,JSON.stringify(tiddler),\"utf8\");\n\t\t// Collect the skinny list data\n\t\tvar pluginTiddlers = JSON.parse(tiddler.text),\n\t\t\treadmeContent = (pluginTiddlers.tiddlers[title + \"/readme\"] || {}).text,\n\t\t\tdoesRequireReload = !!$tw.wiki.doesPluginInfoRequireReload(pluginTiddlers),\n\t\t\ticonTiddler = pluginTiddlers.tiddlers[title + \"/icon\"] || {},\n\t\t\ticonType = iconTiddler.type,\n\t\t\ticonText = iconTiddler.text,\n\t\t\ticonContent;\n\t\tif(iconType && iconText) {\n\t\t\ticonContent = $tw.utils.makeDataUri(iconText,iconType);\n\t\t}\n\t\tskinnyList.push($tw.utils.extend({},tiddler,{\n\t\t\ttext: undefined,\n\t\t\treadme: readmeContent,\n\t\t\t\"requires-reload\": doesRequireReload ? \"yes\" : \"no\",\n\t\t\ticon: iconContent\n\t\t}));\n\t});\n\t// Save the catalogue tiddler\n\tif(skinnyListTitle) {\n\t\tself.commander.wiki.setTiddlerData(skinnyListTitle,skinnyList);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savetiddler.js": {
"title": "$:/core/modules/commands/savetiddler.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savetiddler.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the content of a tiddler to a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savetiddler\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\ttitle = this.params[0],\n\t\tfilename = path.resolve(this.commander.outputPath,this.params[1]),\n\t\ttiddler = this.commander.wiki.getTiddler(title);\n\tif(tiddler) {\n\t\tvar type = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"};\n\t\t$tw.utils.createFileDirectories(filename);\n\t\tfs.writeFile(filename,tiddler.fields.text,contentTypeInfo.encoding,function(err) {\n\t\t\tself.callback(err);\n\t\t});\n\t} else {\n\t\treturn \"Missing tiddler: \" + title;\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savetiddlers.js": {
"title": "$:/core/modules/commands/savetiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savetiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save several tiddlers to a folder of files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"savetiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\tpathname = path.resolve(this.commander.outputPath,this.params[1]),\n\t\tdeleteDirectory = (this.params[2] || \"\").toLowerCase() !== \"noclean\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\tif(deleteDirectory) {\n\t\t$tw.utils.deleteDirectory(pathname);\n\t}\n\t$tw.utils.createDirectory(pathname);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.commander.wiki.getTiddler(title),\n\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"},\n\t\t\tfilename = path.resolve(pathname,encodeURIComponent(title));\n\t\tfs.writeFileSync(filename,tiddler.fields.text,contentTypeInfo.encoding);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savewikifolder.js": {
"title": "$:/core/modules/commands/savewikifolder.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savewikifolder.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the current wiki as a wiki folder\n\n--savewikifolder <wikifolderpath> [<filter>]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savewikifolder\",\n\tsynchronous: true\n};\n\nvar fs,path;\nif($tw.node) {\n\tfs = require(\"fs\");\n\tpath = require(\"path\");\n}\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing wiki folder path\";\n\t}\n\tvar wikifoldermaker = new WikiFolderMaker(this.params[0],this.params[1],this.commander);\n\treturn wikifoldermaker.save();\n};\n\nfunction WikiFolderMaker(wikiFolderPath,wikiFilter,commander) {\n\tthis.wikiFolderPath = wikiFolderPath;\n\tthis.wikiFilter = wikiFilter || \"[all[tiddlers]]\";\n\tthis.commander = commander;\n\tthis.wiki = commander.wiki;\n\tthis.savedPaths = []; // So that we can detect filename clashes\n}\n\nWikiFolderMaker.prototype.log = function(str) {\n\tif(this.commander.verbose) {\n\t\tconsole.log(str);\n\t}\n};\n\nWikiFolderMaker.prototype.tiddlersToIgnore = [\n\t\"$:/boot/boot.css\",\n\t\"$:/boot/boot.js\",\n\t\"$:/boot/bootprefix.js\",\n\t\"$:/core\",\n\t\"$:/library/sjcl.js\",\n\t\"$:/temp/info-plugin\"\n];\n\n/*\nReturns null if successful, or an error string if there was an error\n*/\nWikiFolderMaker.prototype.save = function() {\n\tvar self = this;\n\t// Check that the output directory doesn't exist\n\tif(fs.existsSync(this.wikiFolderPath) && !$tw.utils.isDirectoryEmpty(this.wikiFolderPath)) {\n\t\treturn \"The unpackwiki command requires that the output wiki folder be empty\";\n\t}\n\t// Get the tiddlers from the source wiki\n\tvar tiddlerTitles = this.wiki.filterTiddlers(this.wikiFilter);\n\t// Initialise a new tiddlwiki.info file\n\tvar newWikiInfo = {};\n\t// Process each incoming tiddler in turn\n\t$tw.utils.each(tiddlerTitles,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\tif(tiddler) {\n\t\t\tif(self.tiddlersToIgnore.indexOf(title) !== -1) {\n\t\t\t\t// Ignore the core plugin and the ephemeral info plugin\n\t\t\t\tself.log(\"Ignoring tiddler: \" + title);\n\t\t\t} else {\n\t\t\t\tvar type = tiddler.fields.type,\n\t\t\t\t\tpluginType = tiddler.fields[\"plugin-type\"];\n\t\t\t\tif(type === \"application/json\" && pluginType) {\n\t\t\t\t\t// Plugin tiddler\n\t\t\t\t\tvar libraryDetails = self.findPluginInLibrary(title);\n\t\t\t\t\tif(libraryDetails) {\n\t\t\t\t\t\t// A plugin from the core library\n\t\t\t\t\t\tself.log(\"Adding built-in plugin: \" + libraryDetails.name);\n\t\t\t\t\t\tnewWikiInfo[libraryDetails.type] = newWikiInfo[libraryDetails.type] || [];\n\t\t\t\t\t\t$tw.utils.pushTop(newWikiInfo[libraryDetails.type],libraryDetails.name);\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// A custom plugin\n\t\t\t\t\t\tself.log(\"Processing custom plugin: \" + title);\n\t\t\t\t\t\tself.saveCustomPlugin(tiddler);\n\t\t\t\t\t}\t\t\t\t\n\t\t\t\t} else {\n\t\t\t\t\t// Ordinary tiddler\n\t\t\t\t\tself.saveTiddler(\"tiddlers\",tiddler);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\t// Save the tiddlywiki.info file\n\tthis.saveJSONFile(\"tiddlywiki.info\",newWikiInfo);\n\tself.log(\"Writing tiddlywiki.info: \" + JSON.stringify(newWikiInfo,null,$tw.config.preferences.jsonSpaces));\n\treturn null;\n};\n\n/*\nTest whether the specified tiddler is a plugin in the plugin library\n*/\nWikiFolderMaker.prototype.findPluginInLibrary = function(title) {\n\tvar parts = title.split(\"/\"),\n\t\tpluginPath, type, name;\n\tif(parts[0] === \"$:\") {\n\t\tif(parts[1] === \"languages\" && parts.length === 3) {\n\t\t\tpluginPath = \"languages\" + path.sep + parts[2];\n\t\t\ttype = parts[1];\n\t\t\tname = parts[2];\n\t\t} else if(parts[1] === \"plugins\" || parts[1] === \"themes\" && parts.length === 4) {\n\t\t\tpluginPath = parts[1] + path.sep + parts[2] + path.sep + parts[3];\n\t\t\ttype = parts[1];\n\t\t\tname = parts[2] + \"/\" + parts[3];\n\t\t}\n\t}\n\tif(pluginPath && type && name) {\n\t\tpluginPath = path.resolve($tw.boot.bootPath,\"..\",pluginPath);\n\t\tif(fs.existsSync(pluginPath)) {\n\t\t\treturn {\n\t\t\t\tpluginPath: pluginPath,\n\t\t\t\ttype: type,\n\t\t\t\tname: name\n\t\t\t};\n\t\t}\n\t}\n\treturn false;\n};\n\nWikiFolderMaker.prototype.saveCustomPlugin = function(pluginTiddler) {\n\tvar self = this,\n\t\tpluginTitle = pluginTiddler.fields.title,\n\t\ttitleParts = pluginTitle.split(\"/\"),\n\t\tdirectory = $tw.utils.generateTiddlerFilepath(titleParts[titleParts.length - 1],{\n\t\t\tdirectory: path.resolve(this.wikiFolderPath,pluginTiddler.fields[\"plugin-type\"] + \"s\")\n\t\t}),\n\t\tpluginInfo = pluginTiddler.getFieldStrings({exclude: [\"text\",\"type\"]});\n\tthis.saveJSONFile(directory + path.sep + \"plugin.info\",pluginInfo);\n\tself.log(\"Writing \" + directory + path.sep + \"plugin.info: \" + JSON.stringify(pluginInfo,null,$tw.config.preferences.jsonSpaces));\n\tvar pluginTiddlers = JSON.parse(pluginTiddler.fields.text).tiddlers; // A hashmap of tiddlers in the plugin\n\t$tw.utils.each(pluginTiddlers,function(tiddler) {\n\t\tself.saveTiddler(directory,new $tw.Tiddler(tiddler));\n\t});\n};\n\nWikiFolderMaker.prototype.saveTiddler = function(directory,tiddler) {\n\tvar fileInfo = $tw.utils.generateTiddlerFileInfo(tiddler,{\n\t\tdirectory: path.resolve(this.wikiFolderPath,directory),\n\t\twiki: this.wiki\n\t});\n\t$tw.utils.saveTiddlerToFileSync(tiddler,fileInfo);\n};\n\nWikiFolderMaker.prototype.saveJSONFile = function(filename,json) {\n\tthis.saveTextFile(filename,JSON.stringify(json,null,$tw.config.preferences.jsonSpaces));\n};\n\nWikiFolderMaker.prototype.saveTextFile = function(filename,data) {\n\tthis.saveFile(filename,\"utf8\",data);\n};\n\nWikiFolderMaker.prototype.saveFile = function(filename,encoding,data) {\n\tvar filepath = path.resolve(this.wikiFolderPath,filename);\n\t$tw.utils.createFileDirectories(filepath);\n\tfs.writeFileSync(filepath,data,encoding);\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/server.js": {
"title": "$:/core/modules/commands/server.js",
"text": "/*\\\ntitle: $:/core/modules/commands/server.js\ntype: application/javascript\nmodule-type: command\n\nDeprecated legacy command for serving tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Server = require(\"$:/core/modules/server/server.js\").Server;\n\nexports.info = {\n\tname: \"server\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tvar self = this;\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(!$tw.boot.wikiTiddlersPath) {\n\t\t$tw.utils.warning(\"Warning: Wiki folder '\" + $tw.boot.wikiPath + \"' does not exist or is missing a tiddlywiki.info file\");\n\t}\n\t// Set up server\n\tthis.server = new Server({\n\t\twiki: this.commander.wiki,\n\t\tvariables: {\n\t\t\tport: this.params[0],\n\t\t\thost: this.params[6],\n\t\t\t\"root-tiddler\": this.params[1],\n\t\t\t\"root-render-type\": this.params[2],\n\t\t\t\"root-serve-type\": this.params[3],\n\t\t\tusername: this.params[4],\n\t\t\tpassword: this.params[5],\n\t\t\t\"path-prefix\": this.params[7],\n\t\t\t\"debug-level\": this.params[8]\n\t\t}\n\t});\n\tvar nodeServer = this.server.listen();\n\t$tw.hooks.invokeHook(\"th-server-command-post-start\",this.server,nodeServer,\"tiddlywiki\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/setfield.js": {
"title": "$:/core/modules/commands/setfield.js",
"text": "/*\\\ntitle: $:/core/modules/commands/setfield.js\ntype: application/javascript\nmodule-type: command\n\nCommand to modify selected tiddlers to set a field to the text of a template tiddler that has been wikified with the selected tiddler as the current tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"setfield\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 4) {\n\t\treturn \"Missing parameters\";\n\t}\n\tvar self = this,\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\tfieldname = this.params[1] || \"text\",\n\t\ttemplatetitle = this.params[2],\n\t\trendertype = this.params[3] || \"text/plain\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(templatetitle),\n\t\t\tnewFields = {},\n\t\t\ttiddler = wiki.getTiddler(title);\n\t\tif(parser) {\n\t\t\tvar widgetNode = wiki.makeWidget(parser,{variables: {currentTiddler: title}});\n\t\t\tvar container = $tw.fakeDocument.createElement(\"div\");\n\t\t\twidgetNode.render(container,null);\n\t\t\tnewFields[fieldname] = rendertype === \"text/html\" ? container.innerHTML : container.textContent;\n\t\t} else {\n\t\t\tnewFields[fieldname] = undefined;\n\t\t}\n\t\twiki.addTiddler(new $tw.Tiddler(tiddler,newFields));\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/unpackplugin.js": {
"title": "$:/core/modules/commands/unpackplugin.js",
"text": "/*\\\ntitle: $:/core/modules/commands/unpackplugin.js\ntype: application/javascript\nmodule-type: command\n\nCommand to extract the shadow tiddlers from within a plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"unpackplugin\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing plugin name\";\n\t}\n\tvar self = this,\n\t\ttitle = this.params[0],\n\t\tpluginData = this.commander.wiki.getTiddlerDataCached(title);\n\tif(!pluginData) {\n\t\treturn \"Plugin '\" + title + \"' not found\";\n\t}\n\t$tw.utils.each(pluginData.tiddlers,function(tiddler) {\n\t\tself.commander.wiki.addTiddler(new $tw.Tiddler(tiddler));\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/verbose.js": {
"title": "$:/core/modules/commands/verbose.js",
"text": "/*\\\ntitle: $:/core/modules/commands/verbose.js\ntype: application/javascript\nmodule-type: command\n\nVerbose command\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"verbose\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tthis.commander.verbose = true;\n\t// Output the boot message log\n\tthis.commander.streams.output.write(\"Boot log:\\n \" + $tw.boot.logMessages.join(\"\\n \") + \"\\n\");\n\treturn null; // No error\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/version.js": {
"title": "$:/core/modules/commands/version.js",
"text": "/*\\\ntitle: $:/core/modules/commands/version.js\ntype: application/javascript\nmodule-type: command\n\nVersion command\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"version\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tthis.commander.streams.output.write($tw.version + \"\\n\");\n\treturn null; // No error\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/config.js": {
"title": "$:/core/modules/config.js",
"text": "/*\\\ntitle: $:/core/modules/config.js\ntype: application/javascript\nmodule-type: config\n\nCore configuration constants\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.preferences = {};\n\nexports.preferences.notificationDuration = 3 * 1000;\nexports.preferences.jsonSpaces = 4;\n\nexports.textPrimitives = {\n\tupperLetter: \"[A-Z\\u00c0-\\u00d6\\u00d8-\\u00de\\u0150\\u0170]\",\n\tlowerLetter: \"[a-z\\u00df-\\u00f6\\u00f8-\\u00ff\\u0151\\u0171]\",\n\tanyLetter: \"[A-Za-z0-9\\u00c0-\\u00d6\\u00d8-\\u00de\\u00df-\\u00f6\\u00f8-\\u00ff\\u0150\\u0170\\u0151\\u0171]\",\n\tblockPrefixLetters:\t\"[A-Za-z0-9-_\\u00c0-\\u00d6\\u00d8-\\u00de\\u00df-\\u00f6\\u00f8-\\u00ff\\u0150\\u0170\\u0151\\u0171]\"\n};\n\nexports.textPrimitives.unWikiLink = \"~\";\nexports.textPrimitives.wikiLink = exports.textPrimitives.upperLetter + \"+\" +\n\texports.textPrimitives.lowerLetter + \"+\" +\n\texports.textPrimitives.upperLetter +\n\texports.textPrimitives.anyLetter + \"*\";\n\nexports.htmlEntities = {quot:34, amp:38, apos:39, lt:60, gt:62, nbsp:160, iexcl:161, cent:162, pound:163, curren:164, yen:165, brvbar:166, sect:167, uml:168, copy:169, ordf:170, laquo:171, not:172, shy:173, reg:174, macr:175, deg:176, plusmn:177, sup2:178, sup3:179, acute:180, micro:181, para:182, middot:183, cedil:184, sup1:185, ordm:186, raquo:187, frac14:188, frac12:189, frac34:190, iquest:191, Agrave:192, Aacute:193, Acirc:194, Atilde:195, Auml:196, Aring:197, AElig:198, Ccedil:199, Egrave:200, Eacute:201, Ecirc:202, Euml:203, Igrave:204, Iacute:205, Icirc:206, Iuml:207, ETH:208, Ntilde:209, Ograve:210, Oacute:211, Ocirc:212, Otilde:213, Ouml:214, times:215, Oslash:216, Ugrave:217, Uacute:218, Ucirc:219, Uuml:220, Yacute:221, THORN:222, szlig:223, agrave:224, aacute:225, acirc:226, atilde:227, auml:228, aring:229, aelig:230, ccedil:231, egrave:232, eacute:233, ecirc:234, euml:235, igrave:236, iacute:237, icirc:238, iuml:239, eth:240, ntilde:241, ograve:242, oacute:243, ocirc:244, otilde:245, ouml:246, divide:247, oslash:248, ugrave:249, uacute:250, ucirc:251, uuml:252, yacute:253, thorn:254, yuml:255, OElig:338, oelig:339, Scaron:352, scaron:353, Yuml:376, fnof:402, circ:710, tilde:732, Alpha:913, Beta:914, Gamma:915, Delta:916, Epsilon:917, Zeta:918, Eta:919, Theta:920, Iota:921, Kappa:922, Lambda:923, Mu:924, Nu:925, Xi:926, Omicron:927, Pi:928, Rho:929, Sigma:931, Tau:932, Upsilon:933, Phi:934, Chi:935, Psi:936, Omega:937, alpha:945, beta:946, gamma:947, delta:948, epsilon:949, zeta:950, eta:951, theta:952, iota:953, kappa:954, lambda:955, mu:956, nu:957, xi:958, omicron:959, pi:960, rho:961, sigmaf:962, sigma:963, tau:964, upsilon:965, phi:966, chi:967, psi:968, omega:969, thetasym:977, upsih:978, piv:982, ensp:8194, emsp:8195, thinsp:8201, zwnj:8204, zwj:8205, lrm:8206, rlm:8207, ndash:8211, mdash:8212, lsquo:8216, rsquo:8217, sbquo:8218, ldquo:8220, rdquo:8221, bdquo:8222, dagger:8224, Dagger:8225, bull:8226, hellip:8230, permil:8240, prime:8242, Prime:8243, lsaquo:8249, rsaquo:8250, oline:8254, frasl:8260, euro:8364, image:8465, weierp:8472, real:8476, trade:8482, alefsym:8501, larr:8592, uarr:8593, rarr:8594, darr:8595, harr:8596, crarr:8629, lArr:8656, uArr:8657, rArr:8658, dArr:8659, hArr:8660, forall:8704, part:8706, exist:8707, empty:8709, nabla:8711, isin:8712, notin:8713, ni:8715, prod:8719, sum:8721, minus:8722, lowast:8727, radic:8730, prop:8733, infin:8734, ang:8736, and:8743, or:8744, cap:8745, cup:8746, int:8747, there4:8756, sim:8764, cong:8773, asymp:8776, ne:8800, equiv:8801, le:8804, ge:8805, sub:8834, sup:8835, nsub:8836, sube:8838, supe:8839, oplus:8853, otimes:8855, perp:8869, sdot:8901, lceil:8968, rceil:8969, lfloor:8970, rfloor:8971, lang:9001, rang:9002, loz:9674, spades:9824, clubs:9827, hearts:9829, diams:9830 };\n\nexports.htmlVoidElements = \"area,base,br,col,command,embed,hr,img,input,keygen,link,meta,param,source,track,wbr\".split(\",\");\n\nexports.htmlBlockElements = \"address,article,aside,audio,blockquote,canvas,dd,div,dl,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,hr,li,noscript,ol,output,p,pre,section,table,tfoot,ul,video\".split(\",\");\n\nexports.htmlUnsafeElements = \"script\".split(\",\");\n\n})();\n",
"type": "application/javascript",
"module-type": "config"
},
"$:/core/modules/deserializers.js": {
"title": "$:/core/modules/deserializers.js",
"text": "/*\\\ntitle: $:/core/modules/deserializers.js\ntype: application/javascript\nmodule-type: tiddlerdeserializer\n\nFunctions to deserialise tiddlers from a block of text\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nUtility function to parse an old-style tiddler DIV in a *.tid file. It looks like this:\n\n<div title=\"Title\" creator=\"JoeBloggs\" modifier=\"JoeBloggs\" created=\"201102111106\" modified=\"201102111310\" tags=\"myTag [[my long tag]]\">\n<pre>The text of the tiddler (without the expected HTML encoding).\n</pre>\n</div>\n\nNote that the field attributes are HTML encoded, but that the body of the <PRE> tag is not encoded.\n\nWhen these tiddler DIVs are encountered within a TiddlyWiki HTML file then the body is encoded in the usual way.\n*/\nvar parseTiddlerDiv = function(text /* [,fields] */) {\n\t// Slot together the default results\n\tvar result = {};\n\tif(arguments.length > 1) {\n\t\tfor(var f=1; f<arguments.length; f++) {\n\t\t\tvar fields = arguments[f];\n\t\t\tfor(var t in fields) {\n\t\t\t\tresult[t] = fields[t];\t\t\n\t\t\t}\n\t\t}\n\t}\n\t// Parse the DIV body\n\tvar startRegExp = /^\\s*<div\\s+([^>]*)>(\\s*<pre>)?/gi,\n\t\tendRegExp,\n\t\tmatch = startRegExp.exec(text);\n\tif(match) {\n\t\t// Old-style DIVs don't have the <pre> tag\n\t\tif(match[2]) {\n\t\t\tendRegExp = /<\\/pre>\\s*<\\/div>\\s*$/gi;\n\t\t} else {\n\t\t\tendRegExp = /<\\/div>\\s*$/gi;\n\t\t}\n\t\tvar endMatch = endRegExp.exec(text);\n\t\tif(endMatch) {\n\t\t\t// Extract the text\n\t\t\tresult.text = text.substring(match.index + match[0].length,endMatch.index);\n\t\t\t// Process the attributes\n\t\t\tvar attrRegExp = /\\s*([^=\\s]+)\\s*=\\s*(?:\"([^\"]*)\"|'([^']*)')/gi,\n\t\t\t\tattrMatch;\n\t\t\tdo {\n\t\t\t\tattrMatch = attrRegExp.exec(match[1]);\n\t\t\t\tif(attrMatch) {\n\t\t\t\t\tvar name = attrMatch[1];\n\t\t\t\t\tvar value = attrMatch[2] !== undefined ? attrMatch[2] : attrMatch[3];\n\t\t\t\t\tresult[name] = value;\n\t\t\t\t}\n\t\t\t} while(attrMatch);\n\t\t\treturn result;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports[\"application/x-tiddler-html-div\"] = function(text,fields) {\n\treturn [parseTiddlerDiv(text,fields)];\n};\n\nexports[\"application/json\"] = function(text,fields) {\n\tvar incoming,\n\t\tresults = [];\n\ttry {\n\t\tincoming = JSON.parse(text);\n\t} catch(e) {\n\t\tincoming = [{\n\t\t\ttitle: \"JSON error: \" + e,\n\t\t\ttext: \"\"\n\t\t}]\n\t}\n\tif(!$tw.utils.isArray(incoming)) {\n\t\tincoming = [incoming];\n\t}\n\tfor(var t=0; t<incoming.length; t++) {\n\t\tvar incomingFields = incoming[t],\n\t\t\tfields = {};\n\t\tfor(var f in incomingFields) {\n\t\t\tif(typeof incomingFields[f] === \"string\") {\n\t\t\t\tfields[f] = incomingFields[f];\n\t\t\t}\n\t\t}\n\t\tresults.push(fields);\n\t}\n\treturn results;\n};\n\n/*\nParse an HTML file into tiddlers. There are three possibilities:\n# A TiddlyWiki classic HTML file containing `text/x-tiddlywiki` tiddlers\n# A TiddlyWiki5 HTML file containing `text/vnd.tiddlywiki` tiddlers\n# An ordinary HTML file\n*/\nexports[\"text/html\"] = function(text,fields) {\n\t// Check if we've got a store area\n\tvar storeAreaMarkerRegExp = /<div id=[\"']?storeArea['\"]?( style=[\"']?display:none;[\"']?)?>/gi,\n\t\tmatch = storeAreaMarkerRegExp.exec(text);\n\tif(match) {\n\t\t// If so, it's either a classic TiddlyWiki file or an unencrypted TW5 file\n\t\t// First read the normal tiddlers\n\t\tvar results = deserializeTiddlyWikiFile(text,storeAreaMarkerRegExp.lastIndex,!!match[1],fields);\n\t\t// Then any system tiddlers\n\t\tvar systemAreaMarkerRegExp = /<div id=[\"']?systemArea['\"]?( style=[\"']?display:none;[\"']?)?>/gi,\n\t\t\tsysMatch = systemAreaMarkerRegExp.exec(text);\n\t\tif(sysMatch) {\n\t\t\tresults.push.apply(results,deserializeTiddlyWikiFile(text,systemAreaMarkerRegExp.lastIndex,!!sysMatch[1],fields));\n\t\t}\n\t\treturn results;\n\t} else {\n\t\t// Check whether we've got an encrypted file\n\t\tvar encryptedStoreArea = $tw.utils.extractEncryptedStoreArea(text);\n\t\tif(encryptedStoreArea) {\n\t\t\t// If so, attempt to decrypt it using the current password\n\t\t\treturn $tw.utils.decryptStoreArea(encryptedStoreArea);\n\t\t} else {\n\t\t\t// It's not a TiddlyWiki so we'll return the entire HTML file as a tiddler\n\t\t\treturn deserializeHtmlFile(text,fields);\n\t\t}\n\t}\n};\n\nfunction deserializeHtmlFile(text,fields) {\n\tvar result = {};\n\t$tw.utils.each(fields,function(value,name) {\n\t\tresult[name] = value;\n\t});\n\tresult.text = text;\n\tresult.type = \"text/html\";\n\treturn [result];\n}\n\nfunction deserializeTiddlyWikiFile(text,storeAreaEnd,isTiddlyWiki5,fields) {\n\tvar results = [],\n\t\tendOfDivRegExp = /(<\\/div>\\s*)/gi,\n\t\tstartPos = storeAreaEnd,\n\t\tdefaultType = isTiddlyWiki5 ? undefined : \"text/x-tiddlywiki\";\n\tendOfDivRegExp.lastIndex = startPos;\n\tvar match = endOfDivRegExp.exec(text);\n\twhile(match) {\n\t\tvar endPos = endOfDivRegExp.lastIndex,\n\t\t\ttiddlerFields = parseTiddlerDiv(text.substring(startPos,endPos),fields,{type: defaultType});\n\t\tif(!tiddlerFields) {\n\t\t\tbreak;\n\t\t}\n\t\t$tw.utils.each(tiddlerFields,function(value,name) {\n\t\t\tif(typeof value === \"string\") {\n\t\t\t\ttiddlerFields[name] = $tw.utils.htmlDecode(value);\n\t\t\t}\n\t\t});\n\t\tif(tiddlerFields.text !== null) {\n\t\t\tresults.push(tiddlerFields);\n\t\t}\n\t\tstartPos = endPos;\n\t\tmatch = endOfDivRegExp.exec(text);\n\t}\n\treturn results;\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "tiddlerdeserializer"
},
"$:/core/modules/editor/engines/framed.js": {
"title": "$:/core/modules/editor/engines/framed.js",
"text": "/*\\\ntitle: $:/core/modules/editor/engines/framed.js\ntype: application/javascript\nmodule-type: library\n\nText editor engine based on a simple input or textarea within an iframe. This is done so that the selection is preserved even when clicking away from the textarea\n\n\\*/\n(function(){\n\n/*jslint node: true,browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\nfunction FramedEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\t// Create our hidden dummy text area for reading styles\n\tthis.dummyTextArea = this.widget.document.createElement(\"textarea\");\n\tif(this.widget.editClass) {\n\t\tthis.dummyTextArea.className = this.widget.editClass;\n\t}\n\tthis.dummyTextArea.setAttribute(\"hidden\",\"true\");\n\tthis.parentNode.insertBefore(this.dummyTextArea,this.nextSibling);\n\tthis.widget.domNodes.push(this.dummyTextArea);\n\t// Create the iframe\n\tthis.iframeNode = this.widget.document.createElement(\"iframe\");\n\tthis.parentNode.insertBefore(this.iframeNode,this.nextSibling);\n\tthis.iframeDoc = this.iframeNode.contentWindow.document;\n\t// (Firefox requires us to put some empty content in the iframe)\n\tthis.iframeDoc.open();\n\tthis.iframeDoc.write(\"\");\n\tthis.iframeDoc.close();\n\t// Style the iframe\n\tthis.iframeNode.className = this.dummyTextArea.className;\n\tthis.iframeNode.style.border = \"none\";\n\tthis.iframeNode.style.padding = \"0\";\n\tthis.iframeNode.style.resize = \"none\";\n\tthis.iframeNode.style[\"background-color\"] = this.widget.wiki.extractTiddlerDataItem(this.widget.wiki.getTiddlerText(\"$:/palette\"),\"tiddler-editor-background\");\n\tthis.iframeDoc.body.style.margin = \"0\";\n\tthis.iframeDoc.body.style.padding = \"0\";\n\tthis.widget.domNodes.push(this.iframeNode);\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.iframeDoc.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.iframeDoc.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editTabIndex) {\n\t\tthis.iframeNode.setAttribute(\"tabindex\",this.widget.editTabIndex);\n\t}\n\t// Copy the styles from the dummy textarea\n\tthis.copyStyles();\n\t// Add event listeners\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"click\",handlerObject: this,handlerMethod: \"handleClickEvent\"},\n\t\t{name: \"input\",handlerObject: this,handlerMethod: \"handleInputEvent\"},\n\t\t{name: \"keydown\",handlerObject: this.widget,handlerMethod: \"handleKeydownEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.iframeDoc.body.appendChild(this.domNode);\n}\n\n/*\nCopy styles from the dummy text area to the textarea in the iframe\n*/\nFramedEngine.prototype.copyStyles = function() {\n\t// Copy all styles\n\t$tw.utils.copyStyles(this.dummyTextArea,this.domNode);\n\t// Override the ones that should not be set the same as the dummy textarea\n\tthis.domNode.style.display = \"block\";\n\tthis.domNode.style.width = \"100%\";\n\tthis.domNode.style.margin = \"0\";\n\tthis.domNode.style[\"background-color\"] = this.widget.wiki.extractTiddlerDataItem(this.widget.wiki.getTiddlerText(\"$:/palette\"),\"tiddler-editor-background\");\n\t// In Chrome setting -webkit-text-fill-color overrides the placeholder text colour\n\tthis.domNode.style[\"-webkit-text-fill-color\"] = \"currentcolor\";\n};\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nFramedEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode) {\n\t\t\tthis.domNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nFramedEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nFramedEngine.prototype.fixHeight = function() {\n\t// Make sure styles are updated\n\tthis.copyStyles();\n\t// Adjust height\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\tvar newHeight = $tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t\tthis.iframeNode.style.height = (newHeight + 14) + \"px\"; // +14 for the border on the textarea\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t\tthis.iframeNode.style.height = (fixedHeight + 14) + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nFramedEngine.prototype.focus = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a click\n*/\nFramedEngine.prototype.handleClickEvent = function(event) {\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nFramedEngine.prototype.handleInputEvent = function(event) {\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nFramedEngine.prototype.createTextOperation = function() {\n\tvar operation = {\n\t\ttext: this.domNode.value,\n\t\tselStart: this.domNode.selectionStart,\n\t\tselEnd: this.domNode.selectionEnd,\n\t\tcutStart: null,\n\t\tcutEnd: null,\n\t\treplacement: null,\n\t\tnewSelStart: null,\n\t\tnewSelEnd: null\n\t};\n\toperation.selection = operation.text.substring(operation.selStart,operation.selEnd);\n\treturn operation;\n};\n\n/*\nExecute a text operation\n*/\nFramedEngine.prototype.executeTextOperation = function(operation) {\n\t// Perform the required changes to the text area and the underlying tiddler\n\tvar newText = operation.text;\n\tif(operation.replacement !== null) {\n\t\tnewText = operation.text.substring(0,operation.cutStart) + operation.replacement + operation.text.substring(operation.cutEnd);\n\t\t// Attempt to use a execCommand to modify the value of the control\n\t\tif(this.iframeDoc.queryCommandSupported(\"insertText\") && this.iframeDoc.queryCommandSupported(\"delete\") && !$tw.browser.isFirefox) {\n\t\t\tthis.domNode.focus();\n\t\t\tthis.domNode.setSelectionRange(operation.cutStart,operation.cutEnd);\n\t\t\tif(operation.replacement === \"\") {\n\t\t\t\tthis.iframeDoc.execCommand(\"delete\",false,\"\");\n\t\t\t} else {\n\t\t\t\tthis.iframeDoc.execCommand(\"insertText\",false,operation.replacement);\n\t\t\t}\n\t\t} else {\n\t\t\tthis.domNode.value = newText;\n\t\t}\n\t\tthis.domNode.focus();\n\t\tthis.domNode.setSelectionRange(operation.newSelStart,operation.newSelEnd);\n\t}\n\tthis.domNode.focus();\n\treturn newText;\n};\n\nexports.FramedEngine = FramedEngine;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/editor/engines/simple.js": {
"title": "$:/core/modules/editor/engines/simple.js",
"text": "/*\\\ntitle: $:/core/modules/editor/engines/simple.js\ntype: application/javascript\nmodule-type: library\n\nText editor engine based on a simple input or textarea tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\nfunction SimpleEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.widget.document.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.widget.document.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editClass) {\n\t\tthis.domNode.className = this.widget.editClass;\n\t}\n\tif(this.widget.editTabIndex) {\n\t\tthis.domNode.setAttribute(\"tabindex\",this.widget.editTabIndex);\n\t}\n\t// Add an input event handler\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"focus\", handlerObject: this, handlerMethod: \"handleFocusEvent\"},\n\t\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInputEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.parentNode.insertBefore(this.domNode,this.nextSibling);\n\tthis.widget.domNodes.push(this.domNode);\n}\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nSimpleEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode || text === \"\") {\n\t\t\tthis.domNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nSimpleEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nSimpleEngine.prototype.fixHeight = function() {\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\t$tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nSimpleEngine.prototype.focus = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nSimpleEngine.prototype.handleInputEvent = function(event) {\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nHandle a dom \"focus\" event\n*/\nSimpleEngine.prototype.handleFocusEvent = function(event) {\n\tif(this.widget.editFocusPopup) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNode,\n\t\t\ttitle: this.widget.editFocusPopup,\n\t\t\twiki: this.widget.wiki,\n\t\t\tforce: true\n\t\t});\n\t}\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nSimpleEngine.prototype.createTextOperation = function() {\n\treturn null;\n};\n\n/*\nExecute a text operation\n*/\nSimpleEngine.prototype.executeTextOperation = function(operation) {\n};\n\nexports.SimpleEngine = SimpleEngine;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/editor/factory.js": {
"title": "$:/core/modules/editor/factory.js",
"text": "/*\\\ntitle: $:/core/modules/editor/factory.js\ntype: application/javascript\nmodule-type: library\n\nFactory for constructing text editor widgets with specified engines for the toolbar and non-toolbar cases\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DEFAULT_MIN_TEXT_AREA_HEIGHT = \"100px\"; // Minimum height of textareas in pixels\n\n// Configuration tiddlers\nvar HEIGHT_MODE_TITLE = \"$:/config/TextEditor/EditorHeight/Mode\";\nvar ENABLE_TOOLBAR_TITLE = \"$:/config/TextEditor/EnableToolbar\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nfunction editTextWidgetFactory(toolbarEngine,nonToolbarEngine) {\n\n\tvar EditTextWidget = function(parseTreeNode,options) {\n\t\t// Initialise the editor operations if they've not been done already\n\t\tif(!this.editorOperations) {\n\t\t\tEditTextWidget.prototype.editorOperations = {};\n\t\t\t$tw.modules.applyMethods(\"texteditoroperation\",this.editorOperations);\n\t\t}\n\t\tthis.initialise(parseTreeNode,options);\n\t};\n\n\t/*\n\tInherit from the base widget class\n\t*/\n\tEditTextWidget.prototype = new Widget();\n\n\t/*\n\tRender this widget into the DOM\n\t*/\n\tEditTextWidget.prototype.render = function(parent,nextSibling) {\n\t\t// Save the parent dom node\n\t\tthis.parentDomNode = parent;\n\t\t// Compute our attributes\n\t\tthis.computeAttributes();\n\t\t// Execute our logic\n\t\tthis.execute();\n\t\t// Create the wrapper for the toolbar and render its content\n\t\tif(this.editShowToolbar) {\n\t\t\tthis.toolbarNode = this.document.createElement(\"div\");\n\t\t\tthis.toolbarNode.className = \"tc-editor-toolbar\";\n\t\t\tparent.insertBefore(this.toolbarNode,nextSibling);\n\t\t\tthis.renderChildren(this.toolbarNode,null);\n\t\t\tthis.domNodes.push(this.toolbarNode);\n\t\t}\n\t\t// Create our element\n\t\tvar editInfo = this.getEditInfo(),\n\t\t\tEngine = this.editShowToolbar ? toolbarEngine : nonToolbarEngine;\n\t\tthis.engine = new Engine({\n\t\t\t\twidget: this,\n\t\t\t\tvalue: editInfo.value,\n\t\t\t\ttype: editInfo.type,\n\t\t\t\tparentNode: parent,\n\t\t\t\tnextSibling: nextSibling\n\t\t\t});\n\t\t// Call the postRender hook\n\t\tif(this.postRender) {\n\t\t\tthis.postRender();\n\t\t}\n\t\t// Fix height\n\t\tthis.engine.fixHeight();\n\t\t// Focus if required\n\t\tif(this.editFocus === \"true\" || this.editFocus === \"yes\") {\n\t\t\tthis.engine.focus();\n\t\t}\n\t\t// Add widget message listeners\n\t\tthis.addEventListeners([\n\t\t\t{type: \"tm-edit-text-operation\", handler: \"handleEditTextOperationMessage\"}\n\t\t]);\n\t};\n\n\t/*\n\tGet the tiddler being edited and current value\n\t*/\n\tEditTextWidget.prototype.getEditInfo = function() {\n\t\t// Get the edit value\n\t\tvar self = this,\n\t\t\tvalue,\n\t\t\ttype = \"text/plain\",\n\t\t\tupdate;\n\t\tif(this.editIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(this.editTitle,this.editIndex,this.editDefault);\n\t\t\tupdate = function(value) {\n\t\t\t\tvar data = self.wiki.getTiddlerData(self.editTitle,{});\n\t\t\t\tif(data[self.editIndex] !== value) {\n\t\t\t\t\tdata[self.editIndex] = value;\n\t\t\t\t\tself.wiki.setTiddlerData(self.editTitle,data);\n\t\t\t\t}\n\t\t\t};\n\t\t} else {\n\t\t\t// Get the current tiddler and the field name\n\t\t\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\t\t\tif(tiddler) {\n\t\t\t\t// If we've got a tiddler, the value to display is the field string value\n\t\t\t\tvalue = tiddler.getFieldString(this.editField);\n\t\t\t\tif(this.editField === \"text\") {\n\t\t\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\";\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// Otherwise, we need to construct a default value for the editor\n\t\t\t\tswitch(this.editField) {\n\t\t\t\t\tcase \"text\":\n\t\t\t\t\t\tvalue = \"Type the text for the tiddler '\" + this.editTitle + \"'\";\n\t\t\t\t\t\ttype = \"text/vnd.tiddlywiki\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"title\":\n\t\t\t\t\t\tvalue = this.editTitle;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tvalue = \"\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tif(this.editDefault !== undefined) {\n\t\t\t\t\tvalue = this.editDefault;\n\t\t\t\t}\n\t\t\t}\n\t\t\tupdate = function(value) {\n\t\t\t\tvar tiddler = self.wiki.getTiddler(self.editTitle),\n\t\t\t\t\tupdateFields = {\n\t\t\t\t\t\ttitle: self.editTitle\n\t\t\t\t\t};\n\t\t\t\tupdateFields[self.editField] = value;\n\t\t\t\tself.wiki.addTiddler(new $tw.Tiddler(self.wiki.getCreationFields(),tiddler,updateFields,self.wiki.getModificationFields()));\n\t\t\t};\n\t\t}\n\t\tif(this.editType) {\n\t\t\ttype = this.editType;\n\t\t}\n\t\treturn {value: value || \"\", type: type, update: update};\n\t};\n\n\t/*\n\tHandle an edit text operation message from the toolbar\n\t*/\n\tEditTextWidget.prototype.handleEditTextOperationMessage = function(event) {\n\t\t// Prepare information about the operation\n\t\tvar operation = this.engine.createTextOperation();\n\t\t// Invoke the handler for the selected operation\n\t\tvar handler = this.editorOperations[event.param];\n\t\tif(handler) {\n\t\t\thandler.call(this,event,operation);\n\t\t}\n\t\t// Execute the operation via the engine\n\t\tvar newText = this.engine.executeTextOperation(operation);\n\t\t// Fix the tiddler height and save changes\n\t\tthis.engine.fixHeight();\n\t\tthis.saveChanges(newText);\n\t};\n\n\t/*\n\tCompute the internal state of the widget\n\t*/\n\tEditTextWidget.prototype.execute = function() {\n\t\t// Get our parameters\n\t\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t\tthis.editField = this.getAttribute(\"field\",\"text\");\n\t\tthis.editIndex = this.getAttribute(\"index\");\n\t\tthis.editDefault = this.getAttribute(\"default\");\n\t\tthis.editClass = this.getAttribute(\"class\");\n\t\tthis.editPlaceholder = this.getAttribute(\"placeholder\");\n\t\tthis.editSize = this.getAttribute(\"size\");\n\t\tthis.editRows = this.getAttribute(\"rows\");\n\t\tthis.editAutoHeight = this.wiki.getTiddlerText(HEIGHT_MODE_TITLE,\"auto\");\n\t\tthis.editAutoHeight = this.getAttribute(\"autoHeight\",this.editAutoHeight === \"auto\" ? \"yes\" : \"no\") === \"yes\";\n\t\tthis.editMinHeight = this.getAttribute(\"minHeight\",DEFAULT_MIN_TEXT_AREA_HEIGHT);\n\t\tthis.editFocusPopup = this.getAttribute(\"focusPopup\");\n\t\tthis.editFocus = this.getAttribute(\"focus\");\n\t\tthis.editTabIndex = this.getAttribute(\"tabindex\");\n\t\t// Get the default editor element tag and type\n\t\tvar tag,type;\n\t\tif(this.editField === \"text\") {\n\t\t\ttag = \"textarea\";\n\t\t} else {\n\t\t\ttag = \"input\";\n\t\t\tvar fieldModule = $tw.Tiddler.fieldModules[this.editField];\n\t\t\tif(fieldModule && fieldModule.editTag) {\n\t\t\t\ttag = fieldModule.editTag;\n\t\t\t}\n\t\t\tif(fieldModule && fieldModule.editType) {\n\t\t\t\ttype = fieldModule.editType;\n\t\t\t}\n\t\t\ttype = type || \"text\";\n\t\t}\n\t\t// Get the rest of our parameters\n\t\tthis.editTag = this.getAttribute(\"tag\",tag) || \"input\";\n\t\tthis.editType = this.getAttribute(\"type\",type);\n\t\t// Make the child widgets\n\t\tthis.makeChildWidgets();\n\t\t// Determine whether to show the toolbar\n\t\tthis.editShowToolbar = this.wiki.getTiddlerText(ENABLE_TOOLBAR_TITLE,\"yes\");\n\t\tthis.editShowToolbar = (this.editShowToolbar === \"yes\") && !!(this.children && this.children.length > 0) && (!this.document.isTiddlyWikiFakeDom);\n\t};\n\n\t/*\n\tSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n\t*/\n\tEditTextWidget.prototype.refresh = function(changedTiddlers) {\n\t\tvar changedAttributes = this.computeAttributes();\n\t\t// Completely rerender if any of our attributes have changed\n\t\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.placeholder || changedAttributes.size || changedAttributes.autoHeight || changedAttributes.minHeight || changedAttributes.focusPopup || changedAttributes.rows || changedAttributes.tabindex || changedTiddlers[HEIGHT_MODE_TITLE] || changedTiddlers[ENABLE_TOOLBAR_TITLE]) {\n\t\t\tthis.refreshSelf();\n\t\t\treturn true;\n\t\t} else if(changedTiddlers[this.editTitle]) {\n\t\t\tvar editInfo = this.getEditInfo();\n\t\t\tthis.updateEditor(editInfo.value,editInfo.type);\n\t\t}\n\t\tthis.engine.fixHeight();\n\t\tif(this.editShowToolbar) {\n\t\t\treturn this.refreshChildren(changedTiddlers);\n\t\t} else {\n\t\t\treturn false;\n\t\t}\n\t};\n\n\t/*\n\tUpdate the editor with new text. This method is separate from updateEditorDomNode()\n\tso that subclasses can override updateEditor() and still use updateEditorDomNode()\n\t*/\n\tEditTextWidget.prototype.updateEditor = function(text,type) {\n\t\tthis.updateEditorDomNode(text,type);\n\t};\n\n\t/*\n\tUpdate the editor dom node with new text\n\t*/\n\tEditTextWidget.prototype.updateEditorDomNode = function(text,type) {\n\t\tthis.engine.setText(text,type);\n\t};\n\n\t/*\n\tSave changes back to the tiddler store\n\t*/\n\tEditTextWidget.prototype.saveChanges = function(text) {\n\t\tvar editInfo = this.getEditInfo();\n\t\tif(text !== editInfo.value) {\n\t\t\teditInfo.update(text);\n\t\t}\n\t};\n\n\t/*\n\tHandle a dom \"keydown\" event, which we'll bubble up to our container for the keyboard widgets benefit\n\t*/\n\tEditTextWidget.prototype.handleKeydownEvent = function(event) {\n\t\t// Check for a keyboard shortcut\n\t\tif(this.toolbarNode) {\n\t\t\tvar shortcutElements = this.toolbarNode.querySelectorAll(\"[data-tw-keyboard-shortcut]\");\n\t\t\tfor(var index=0; index<shortcutElements.length; index++) {\n\t\t\t\tvar el = shortcutElements[index],\n\t\t\t\t\tshortcutData = el.getAttribute(\"data-tw-keyboard-shortcut\"),\n\t\t\t\t\tkeyInfoArray = $tw.keyboardManager.parseKeyDescriptors(shortcutData,{\n\t\t\t\t\t\twiki: this.wiki\n\t\t\t\t\t});\n\t\t\t\tif($tw.keyboardManager.checkKeyDescriptors(event,keyInfoArray)) {\n\t\t\t\t\tvar clickEvent = this.document.createEvent(\"Events\");\n\t\t\t\t clickEvent.initEvent(\"click\",true,false);\n\t\t\t\t el.dispatchEvent(clickEvent);\n\t\t\t\t\tevent.preventDefault();\n\t\t\t\t\tevent.stopPropagation();\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t// Propogate the event to the container\n\t\tif(this.propogateKeydownEvent(event)) {\n\t\t\t// Ignore the keydown if it was already handled\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t\treturn true;\n\t\t}\n\t\t// Otherwise, process the keydown normally\n\t\treturn false;\n\t};\n\n\t/*\n\tPropogate keydown events to our container for the keyboard widgets benefit\n\t*/\n\tEditTextWidget.prototype.propogateKeydownEvent = function(event) {\n\t\tvar newEvent = this.document.createEventObject ? this.document.createEventObject() : this.document.createEvent(\"Events\");\n\t\tif(newEvent.initEvent) {\n\t\t\tnewEvent.initEvent(\"keydown\", true, true);\n\t\t}\n\t\tnewEvent.keyCode = event.keyCode;\n\t\tnewEvent.which = event.which;\n\t\tnewEvent.metaKey = event.metaKey;\n\t\tnewEvent.ctrlKey = event.ctrlKey;\n\t\tnewEvent.altKey = event.altKey;\n\t\tnewEvent.shiftKey = event.shiftKey;\n\t\treturn !this.parentDomNode.dispatchEvent(newEvent);\n\t};\n\n\treturn EditTextWidget;\n\n}\n\nexports.editTextWidgetFactory = editTextWidgetFactory;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/editor/operations/bitmap/clear.js": {
"title": "$:/core/modules/editor/operations/bitmap/clear.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/clear.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to clear the image\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"clear\"] = function(event) {\n\tvar ctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.globalAlpha = 1;\n\tctx.fillStyle = event.paramObject.colour || \"white\";\n\tctx.fillRect(0,0,this.canvasDomNode.width,this.canvasDomNode.height);\n\t// Save changes\n\tthis.strokeEnd();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "bitmapeditoroperation"
},
"$:/core/modules/editor/operations/bitmap/resize.js": {
"title": "$:/core/modules/editor/operations/bitmap/resize.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/resize.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to resize the image\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"resize\"] = function(event) {\n\t// Get the new width\n\tvar newWidth = parseInt(event.paramObject.width || this.canvasDomNode.width,10),\n\t\tnewHeight = parseInt(event.paramObject.height || this.canvasDomNode.height,10);\n\t// Update if necessary\n\tif(newWidth > 0 && newHeight > 0 && !(newWidth === this.currCanvas.width && newHeight === this.currCanvas.height)) {\n\t\tthis.changeCanvasSize(newWidth,newHeight);\n\t}\n\t// Update the input controls\n\tthis.refreshToolbar();\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "bitmapeditoroperation"
},
"$:/core/modules/editor/operations/bitmap/rotate-left.js": {
"title": "$:/core/modules/editor/operations/bitmap/rotate-left.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/rotate-left.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to rotate the image left by 90 degrees\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"rotate-left\"] = function(event) {\n\t// Rotate the canvas left by 90 degrees\n\tthis.rotateCanvasLeft();\n\t// Update the input controls\n\tthis.refreshToolbar();\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "bitmapeditoroperation"
},
"$:/core/modules/editor/operations/text/excise.js": {
"title": "$:/core/modules/editor/operations/text/excise.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/excise.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to excise the selection to a new tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"excise\"] = function(event,operation) {\n\tvar editTiddler = this.wiki.getTiddler(this.editTitle),\n\t\teditTiddlerTitle = this.editTitle;\n\tif(editTiddler && editTiddler.fields[\"draft.of\"]) {\n\t\teditTiddlerTitle = editTiddler.fields[\"draft.of\"];\n\t}\n\tvar excisionTitle = event.paramObject.title || this.wiki.generateNewTitle(\"New Excision\");\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\tthis.wiki.getCreationFields(),\n\t\tthis.wiki.getModificationFields(),\n\t\t{\n\t\t\ttitle: excisionTitle,\n\t\t\ttext: operation.selection,\n\t\t\ttags: event.paramObject.tagnew === \"yes\" ? [editTiddlerTitle] : []\n\t\t}\n\t));\n\toperation.replacement = excisionTitle;\n\tswitch(event.paramObject.type || \"transclude\") {\n\t\tcase \"transclude\":\n\t\t\toperation.replacement = \"{{\" + operation.replacement+ \"}}\";\n\t\t\tbreak;\n\t\tcase \"link\":\n\t\t\toperation.replacement = \"[[\" + operation.replacement+ \"]]\";\n\t\t\tbreak;\n\t\tcase \"macro\":\n\t\t\toperation.replacement = \"<<\" + (event.paramObject.macro || \"translink\") + \" \\\"\\\"\\\"\" + operation.replacement + \"\\\"\\\"\\\">>\";\n\t\t\tbreak;\n\t}\n\toperation.cutStart = operation.selStart;\n\toperation.cutEnd = operation.selEnd;\n\toperation.newSelStart = operation.selStart;\n\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/make-link.js": {
"title": "$:/core/modules/editor/operations/text/make-link.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/make-link.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to make a link\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"make-link\"] = function(event,operation) {\n\tif(operation.selection) {\n\t\toperation.replacement = \"[[\" + operation.selection + \"|\" + event.paramObject.text + \"]]\";\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t} else {\n\t\toperation.replacement = \"[[\" + event.paramObject.text + \"]]\";\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t}\n\toperation.newSelStart = operation.selStart + operation.replacement.length;\n\toperation.newSelEnd = operation.newSelStart;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/prefix-lines.js": {
"title": "$:/core/modules/editor/operations/text/prefix-lines.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/prefix-lines.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to add a prefix to the selected lines\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"prefix-lines\"] = function(event,operation) {\n\tvar targetCount = parseInt(event.paramObject.count + \"\",10);\n\t// Cut just past the preceding line break, or the start of the text\n\toperation.cutStart = $tw.utils.findPrecedingLineBreak(operation.text,operation.selStart);\n\t// Cut to just past the following line break, or to the end of the text\n\toperation.cutEnd = $tw.utils.findFollowingLineBreak(operation.text,operation.selEnd);\n\t// Compose the required prefix\n\tvar prefix = $tw.utils.repeat(event.paramObject.character,targetCount);\n\t// Process each line\n\tvar lines = operation.text.substring(operation.cutStart,operation.cutEnd).split(/\\r?\\n/mg);\n\t$tw.utils.each(lines,function(line,index) {\n\t\t// Remove and count any existing prefix characters\n\t\tvar count = 0;\n\t\twhile(line.charAt(0) === event.paramObject.character) {\n\t\t\tline = line.substring(1);\n\t\t\tcount++;\n\t\t}\n\t\t// Remove any whitespace\n\t\twhile(line.charAt(0) === \" \") {\n\t\t\tline = line.substring(1);\n\t\t}\n\t\t// We're done if we removed the exact required prefix, otherwise add it\n\t\tif(count !== targetCount) {\n\t\t\t// Apply the prefix\n\t\t\tline = prefix + \" \" + line;\n\t\t}\n\t\t// Save the modified line\n\t\tlines[index] = line;\n\t});\n\t// Stitch the replacement text together and set the selection\n\toperation.replacement = lines.join(\"\\n\");\n\tif(lines.length === 1) {\n\t\toperation.newSelStart = operation.cutStart + operation.replacement.length;\n\t\toperation.newSelEnd = operation.newSelStart;\n\t} else {\n\t\toperation.newSelStart = operation.cutStart;\n\t\toperation.newSelEnd = operation.newSelStart + operation.replacement.length;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/replace-all.js": {
"title": "$:/core/modules/editor/operations/text/replace-all.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/replace-all.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to replace the entire text\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"replace-all\"] = function(event,operation) {\n\toperation.cutStart = 0;\n\toperation.cutEnd = operation.text.length;\n\toperation.replacement = event.paramObject.text;\n\toperation.newSelStart = 0;\n\toperation.newSelEnd = operation.replacement.length;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/replace-selection.js": {
"title": "$:/core/modules/editor/operations/text/replace-selection.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/replace-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to replace the selection\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"replace-selection\"] = function(event,operation) {\n\toperation.replacement = event.paramObject.text;\n\toperation.cutStart = operation.selStart;\n\toperation.cutEnd = operation.selEnd;\n\toperation.newSelStart = operation.selStart;\n\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/save-selection.js": {
"title": "$:/core/modules/editor/operations/text/save-selection.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/save-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to save the current selection in a specified tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"save-selection\"] = function(event,operation) {\n\tvar tiddler = event.paramObject.tiddler,\n\t\tfield = event.paramObject.field || \"text\";\n\tif(tiddler && field) {\n\t\tthis.wiki.setText(tiddler,field,null,operation.text.substring(operation.selStart,operation.selEnd));\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/wrap-lines.js": {
"title": "$:/core/modules/editor/operations/text/wrap-lines.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/wrap-lines.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to wrap the selected lines with a prefix and suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"wrap-lines\"] = function(event,operation) {\n\t// Cut just past the preceding line break, or the start of the text\n\toperation.cutStart = $tw.utils.findPrecedingLineBreak(operation.text,operation.selStart);\n\t// Cut to just past the following line break, or to the end of the text\n\toperation.cutEnd = $tw.utils.findFollowingLineBreak(operation.text,operation.selEnd);\n\t// Add the prefix and suffix\n\toperation.replacement = event.paramObject.prefix + \"\\n\" +\n\t\t\t\toperation.text.substring(operation.cutStart,operation.cutEnd) + \"\\n\" +\n\t\t\t\tevent.paramObject.suffix + \"\\n\";\n\toperation.newSelStart = operation.cutStart + event.paramObject.prefix.length + 1;\n\toperation.newSelEnd = operation.newSelStart + (operation.cutEnd - operation.cutStart);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/wrap-selection.js": {
"title": "$:/core/modules/editor/operations/text/wrap-selection.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/wrap-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to wrap the selection with the specified prefix and suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"wrap-selection\"] = function(event,operation) {\n\tif(operation.selStart === operation.selEnd) {\n\t\t// No selection; check if we're within the prefix/suffix\n\t\tif(operation.text.substring(operation.selStart - event.paramObject.prefix.length,operation.selStart + event.paramObject.suffix.length) === event.paramObject.prefix + event.paramObject.suffix) {\n\t\t\t// Remove the prefix and suffix\n\t\t\toperation.cutStart = operation.selStart - event.paramObject.prefix.length;\n\t\t\toperation.cutEnd = operation.selEnd + event.paramObject.suffix.length;\n\t\t\toperation.replacement = \"\";\n\t\t\toperation.newSelStart = operation.cutStart;\n\t\t\toperation.newSelEnd = operation.newSelStart;\n\t\t} else {\n\t\t\t// Wrap the cursor instead\n\t\t\toperation.cutStart = operation.selStart;\n\t\t\toperation.cutEnd = operation.selEnd;\n\t\t\toperation.replacement = event.paramObject.prefix + event.paramObject.suffix;\n\t\t\toperation.newSelStart = operation.selStart + event.paramObject.prefix.length;\n\t\t\toperation.newSelEnd = operation.newSelStart;\n\t\t}\n\t} else if(operation.text.substring(operation.selStart,operation.selStart + event.paramObject.prefix.length) === event.paramObject.prefix && operation.text.substring(operation.selEnd - event.paramObject.suffix.length,operation.selEnd) === event.paramObject.suffix) {\n\t\t// Prefix and suffix are already present, so remove them\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t\toperation.replacement = operation.selection.substring(event.paramObject.prefix.length,operation.selection.length - event.paramObject.suffix.length);\n\t\toperation.newSelStart = operation.selStart;\n\t\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n\t} else {\n\t\t// Add the prefix and suffix\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t\toperation.replacement = event.paramObject.prefix + operation.selection + event.paramObject.suffix;\n\t\toperation.newSelStart = operation.selStart;\n\t\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/filters/addprefix.js": {
"title": "$:/core/modules/filters/addprefix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/addprefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for adding a prefix to each title in the list. This is\nespecially useful in contexts where only a filter expression is allowed\nand macro substitution isn't available.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.addprefix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(operator.operand + title);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/addsuffix.js": {
"title": "$:/core/modules/filters/addsuffix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/addsuffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for adding a suffix to each title in the list. This is\nespecially useful in contexts where only a filter expression is allowed\nand macro substitution isn't available.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.addsuffix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title + operator.operand);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/after.js": {
"title": "$:/core/modules/filters/after.js",
"text": "/*\\\ntitle: $:/core/modules/filters/after.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler from the current list that is after the tiddler named in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.after = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = results.indexOf(operator.operand);\n\tif(index === -1 || index > (results.length - 2)) {\n\t\treturn [];\n\t} else {\n\t\treturn [results[index + 1]];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/all/current.js": {
"title": "$:/core/modules/filters/all/current.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/current.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[current]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.current = function(source,prefix,options) {\n\tvar currTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\");\n\tif(currTiddlerTitle) {\n\t\treturn [currTiddlerTitle];\n\t} else {\n\t\treturn [];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/missing.js": {
"title": "$:/core/modules/filters/all/missing.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/missing.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[missing]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.missing = function(source,prefix,options) {\n\treturn options.wiki.getMissingTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/orphans.js": {
"title": "$:/core/modules/filters/all/orphans.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/orphans.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[orphans]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.orphans = function(source,prefix,options) {\n\treturn options.wiki.getOrphanTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/shadows.js": {
"title": "$:/core/modules/filters/all/shadows.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/shadows.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[shadows]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadows = function(source,prefix,options) {\n\treturn options.wiki.allShadowTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/tags.js": {
"title": "$:/core/modules/filters/all/tags.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/tags.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[tags]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tags = function(source,prefix,options) {\n\treturn Object.keys(options.wiki.getTagMap());\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/tiddlers.js": {
"title": "$:/core/modules/filters/all/tiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/tiddlers.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[tiddlers]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tiddlers = function(source,prefix,options) {\n\treturn options.wiki.allTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all.js": {
"title": "$:/core/modules/filters/all.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for selecting tiddlers\n\n[all[shadows+tiddlers]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar allFilterOperators;\n\nfunction getAllFilterOperators() {\n\tif(!allFilterOperators) {\n\t\tallFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"allfilteroperator\",allFilterOperators);\n\t}\n\treturn allFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.all = function(source,operator,options) {\n\t// Get our suboperators\n\tvar allFilterOperators = getAllFilterOperators();\n\t// Cycle through the suboperators accumulating their results\n\tvar results = [],\n\t\tsubops = operator.operand.split(\"+\");\n\t// Check for common optimisations\n\tif(subops.length === 1 && subops[0] === \"\") {\n\t\treturn source;\n\t} else if(subops.length === 1 && subops[0] === \"tiddlers\") {\n\t\treturn options.wiki.each;\n\t} else if(subops.length === 1 && subops[0] === \"shadows\") {\n\t\treturn options.wiki.eachShadow;\n\t} else if(subops.length === 2 && subops[0] === \"tiddlers\" && subops[1] === \"shadows\") {\n\t\treturn options.wiki.eachTiddlerPlusShadows;\n\t} else if(subops.length === 2 && subops[0] === \"shadows\" && subops[1] === \"tiddlers\") {\n\t\treturn options.wiki.eachShadowPlusTiddlers;\n\t}\n\t// Do it the hard way\n\tfor(var t=0; t<subops.length; t++) {\n\t\tvar subop = allFilterOperators[subops[t]];\n\t\tif(subop) {\n\t\t\t$tw.utils.pushTop(results,subop(source,operator.prefix,options));\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/backlinks.js": {
"title": "$:/core/modules/filters/backlinks.js",
"text": "/*\\\ntitle: $:/core/modules/filters/backlinks.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning all the backlinks from a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.backlinks = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlerBacklinks(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/before.js": {
"title": "$:/core/modules/filters/before.js",
"text": "/*\\\ntitle: $:/core/modules/filters/before.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler from the current list that is before the tiddler named in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.before = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = results.indexOf(operator.operand);\n\tif(index <= 0) {\n\t\treturn [];\n\t} else {\n\t\treturn [results[index - 1]];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/commands.js": {
"title": "$:/core/modules/filters/commands.js",
"text": "/*\\\ntitle: $:/core/modules/filters/commands.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the commands available in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.commands = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.commands,function(commandInfo,name) {\n\t\tresults.push(name);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/compare.js": {
"title": "$:/core/modules/filters/compare.js",
"text": "/*\\\ntitle: $:/core/modules/filters/compare.js\ntype: application/javascript\nmodule-type: filteroperator\n\nGeneral purpose comparison operator\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.compare = function(source,operator,options) {\n\tvar suffixes = operator.suffixes || [],\n\t\ttype = (suffixes[0] || [])[0],\n\t\tmode = (suffixes[1] || [])[0],\n\t\ttypeFn = types[type] || types.number,\n\t\tmodeFn = modes[mode] || modes.eq,\n\t\tinvert = operator.prefix === \"!\",\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tif(modeFn(typeFn(title,operator.operand)) !== invert) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\nvar types = {\n\t\"number\": function(a,b) {\n\t\treturn compare($tw.utils.parseNumber(a),$tw.utils.parseNumber(b));\n\t},\n\t\"integer\": function(a,b) {\n\t\treturn compare($tw.utils.parseInt(a),$tw.utils.parseInt(b));\n\t},\n\t\"string\": function(a,b) {\n\t\treturn compare(\"\" + a,\"\" +b);\n\t},\n\t\"date\": function(a,b) {\n\t\tvar dateA = $tw.utils.parseDate(a),\n\t\t\tdateB = $tw.utils.parseDate(b);\n\t\tif(!isFinite(dateA)) {\n\t\t\tdateA = new Date(0);\n\t\t}\n\t\tif(!isFinite(dateB)) {\n\t\t\tdateB = new Date(0);\n\t\t}\n\t\treturn compare(dateA,dateB);\n\t},\n\t\"version\": function(a,b) {\n\t\treturn $tw.utils.compareVersions(a,b);\n\t}\n};\n\nfunction compare(a,b) {\n\tif(a > b) {\n\t\treturn +1;\n\t} else if(a < b) {\n\t\treturn -1;\n\t} else {\n\t\treturn 0;\n\t}\n};\n\nvar modes = {\n\t\"eq\": function(value) {return value === 0;},\n\t\"ne\": function(value) {return value !== 0;},\n\t\"gteq\": function(value) {return value >= 0;},\n\t\"gt\": function(value) {return value > 0;},\n\t\"lteq\": function(value) {return value <= 0;},\n\t\"lt\": function(value) {return value < 0;}\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/contains.js": {
"title": "$:/core/modules/filters/contains.js",
"text": "/*\\\ntitle: $:/core/modules/filters/contains.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for finding values in array fields\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.contains = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldname = (operator.suffix || \"list\").toLowerCase();\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\tvar list = tiddler.getFieldList(fieldname);\n\t\t\t\tif(list.indexOf(operator.operand) === -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\tvar list = tiddler.getFieldList(fieldname);\n\t\t\t\tif(list.indexOf(operator.operand) !== -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/count.js": {
"title": "$:/core/modules/filters/count.js",
"text": "/*\\\ntitle: $:/core/modules/filters/count.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the number of entries in the current list.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.count = function(source,operator,options) {\n\tvar count = 0;\n\tsource(function(tiddler,title) {\n\t\tcount++;\n\t});\n\treturn [count + \"\"];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/days.js": {
"title": "$:/core/modules/filters/days.js",
"text": "/*\\\ntitle: $:/core/modules/filters/days.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects tiddlers with a specified date field within a specified date interval.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.days = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName = operator.suffix || \"modified\",\n\t\tdayInterval = (parseInt(operator.operand,10)||0),\n\t\tdayIntervalSign = $tw.utils.sign(dayInterval),\n\t\ttargetTimeStamp = (new Date()).setHours(0,0,0,0) + 1000*60*60*24*dayInterval,\n\t\tisWithinDays = function(dateField) {\n\t\t\tvar sign = $tw.utils.sign(targetTimeStamp - (new Date(dateField)).setHours(0,0,0,0));\n\t\t\treturn sign === 0 || sign === dayIntervalSign;\n\t\t};\n\n\tif(operator.prefix === \"!\") {\n\t\ttargetTimeStamp = targetTimeStamp - 1000*60*60*24*dayIntervalSign;\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\t\tif(!isWithinDays($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\t\tif(isWithinDays($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/each.js": {
"title": "$:/core/modules/filters/each.js",
"text": "/*\\\ntitle: $:/core/modules/filters/each.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects one tiddler for each unique value of the specified field.\nWith suffix \"list\", selects all tiddlers that are values in a specified list field.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.each = function(source,operator,options) {\n\tvar results =[] ,\n\tvalue,values = {},\n\tfield = operator.operand || \"title\";\n\tif(operator.suffix === \"value\" && field === \"title\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!$tw.utils.hop(values,title)) {\n\t\t\t\tvalues[title] = true;\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else if(operator.suffix !== \"list-item\") {\n\t\tif(field === \"title\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && !$tw.utils.hop(values,title)) {\n\t\t\t\t\tvalues[title] = true;\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvalue = tiddler.getFieldString(field);\n\t\t\t\t\tif(!$tw.utils.hop(values,value)) {\n\t\t\t\t\t\tvalues[value] = true;\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\t$tw.utils.each(\n\t\t\t\t\toptions.wiki.getTiddlerList(title,field),\n\t\t\t\t\tfunction(value) {\n\t\t\t\t\t\tif(!$tw.utils.hop(values,value)) {\n\t\t\t\t\t\t\tvalues[value] = true;\n\t\t\t\t\t\t\tresults.push(value);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/eachday.js": {
"title": "$:/core/modules/filters/eachday.js",
"text": "/*\\\ntitle: $:/core/modules/filters/eachday.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects one tiddler for each unique day covered by the specified date field\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.eachday = function(source,operator,options) {\n\tvar results = [],\n\t\tvalues = [],\n\t\tfieldName = operator.operand || \"modified\";\n\t// Function to convert a date/time to a date integer\n\tvar toDate = function(value) {\n\t\tvalue = (new Date(value)).setHours(0,0,0,0);\n\t\treturn value+0;\n\t};\n\tsource(function(tiddler,title) {\n\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\tvar value = toDate($tw.utils.parseDate(tiddler.fields[fieldName]));\n\t\t\tif(values.indexOf(value) === -1) {\n\t\t\t\tvalues.push(value);\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/editiondescription.js": {
"title": "$:/core/modules/filters/editiondescription.js",
"text": "/*\\\ntitle: $:/core/modules/filters/editiondescription.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the descriptions of the specified edition names\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.editiondescription = function(source,operator,options) {\n\tvar results = [],\n\t\teditionInfo = $tw.utils.getEditionInfo();\n\tif(editionInfo) {\n\t\tsource(function(tiddler,title) {\n\t\t\tif($tw.utils.hop(editionInfo,title)) {\n\t\t\t\tresults.push(editionInfo[title].description || \"\");\t\t\t\t\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/editions.js": {
"title": "$:/core/modules/filters/editions.js",
"text": "/*\\\ntitle: $:/core/modules/filters/editions.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the available editions in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.editions = function(source,operator,options) {\n\tvar results = [],\n\t\teditionInfo = $tw.utils.getEditionInfo();\n\tif(editionInfo) {\n\t\t$tw.utils.each(editionInfo,function(info,name) {\n\t\t\tresults.push(name);\n\t\t});\n\t}\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/else.js": {
"title": "$:/core/modules/filters/else.js",
"text": "/*\\\ntitle: $:/core/modules/filters/else.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing an empty input list with a constant, passing a non-empty input list straight through\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.else = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tif(results.length === 0) {\n\t\treturn [operator.operand];\n\t} else {\n\t\treturn results;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/decodeuricomponent.js": {
"title": "$:/core/modules/filters/decodeuricomponent.js",
"text": "/*\\\ntitle: $:/core/modules/filters/decodeuricomponent.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for applying decodeURIComponent() to each item.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter functions\n*/\n\nexports.decodeuricomponent = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar value = title;\n\t\ttry {\n\t\t\tvalue = decodeURIComponent(title);\n\t\t} catch(e) {\n\t\t}\n\t\tresults.push(value);\n\t});\n\treturn results;\n};\n\nexports.encodeuricomponent = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(encodeURIComponent(title));\n\t});\n\treturn results;\n};\n\nexports.decodeuri = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar value = title;\n\t\ttry {\n\t\t\tvalue = decodeURI(title);\n\t\t} catch(e) {\n\t\t}\n\t\tresults.push(value);\n\t});\n\treturn results;\n};\n\nexports.encodeuri = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(encodeURI(title));\n\t});\n\treturn results;\n};\n\nexports.decodehtml = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.htmlDecode(title));\n\t});\n\treturn results;\n};\n\nexports.encodehtml = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.htmlEncode(title));\n\t});\n\treturn results;\n};\n\nexports.stringify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.stringify(title));\n\t});\n\treturn results;\n};\n\nexports.jsonstringify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.jsonStringify(title));\n\t});\n\treturn results;\n};\n\nexports.escaperegexp = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.escapeRegExp(title));\n\t});\n\treturn results;\n};\n\nexports.escapecss = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t// escape any character with a special meaning in CSS using CSS.escape()\n\t\tresults.push(CSS.escape(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/enlist.js": {
"title": "$:/core/modules/filters/enlist.js",
"text": "/*\\\ntitle: $:/core/modules/filters/enlist.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning its operand parsed as a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.enlist = function(source,operator,options) {\n\tvar allowDuplicates = false;\n\tswitch(operator.suffix) {\n\t\tcase \"raw\":\n\t\t\tallowDuplicates = true;\n\t\t\tbreak;\n\t\tcase \"dedupe\":\n\t\t\tallowDuplicates = false;\n\t\t\tbreak;\n\t}\n\tvar list = $tw.utils.parseStringArray(operator.operand,allowDuplicates);\n\tif(operator.prefix === \"!\") {\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t\treturn results;\n\t} else {\n\t\treturn list;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/field.js": {
"title": "$:/core/modules/filters/field.js",
"text": "/*\\\ntitle: $:/core/modules/filters/field.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for comparing fields for equality\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.field = function(source,operator,options) {\n\tvar results = [],indexedResults,\n\t\tfieldname = (operator.suffix || operator.operator || \"title\").toLowerCase();\n\tif(operator.prefix === \"!\") {\n\t\tif(operator.regexp) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && !operator.regexp.exec(text)) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && text !== operator.operand) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(operator.regexp) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && !!operator.regexp.exec(text)) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tif(source.byField && operator.operand) {\n\t\t\t\tindexedResults = source.byField(fieldname,operator.operand);\n\t\t\t\tif(indexedResults) {\n\t\t\t\t\treturn indexedResults\n\t\t\t\t}\n\t\t\t}\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && text === operator.operand) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/fields.js": {
"title": "$:/core/modules/filters/fields.js",
"text": "/*\\\ntitle: $:/core/modules/filters/fields.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the fields on the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.fields = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName,\n\t\tsuffixes = (operator.suffixes || [])[0] || [],\n\t\toperand = $tw.utils.parseStringArray(operator.operand);\n\t\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tif(suffixes.indexOf(\"include\") !== -1) {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t(operand.indexOf(fieldName) !== -1) ? $tw.utils.pushTop(results,fieldName) : \"\";\n\t\t\t\t}\n\t\t\t} else if (suffixes.indexOf(\"exclude\") !== -1) {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t(operand.indexOf(fieldName) !== -1) ? \"\" : $tw.utils.pushTop(results,fieldName);\n\t\t\t\t}\n\t\t\t} // else if\n\t\t\telse {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t$tw.utils.pushTop(results,fieldName);\n\t\t\t\t}\n\t\t\t} // else\n\t\t} // if (tiddler)\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/get.js": {
"title": "$:/core/modules/filters/get.js",
"text": "/*\\\ntitle: $:/core/modules/filters/get.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing tiddler titles by the value of the field specified in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.get = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tvar value = tiddler.getFieldString(operator.operand);\n\t\t\tif(value) {\n\t\t\t\tresults.push(value);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/getindex.js": {
"title": "$:/core/modules/filters/getindex.js",
"text": "/*\\\ntitle: $:/core/modules/filters/getindex.js\ntype: application/javascript\nmodule-type: filteroperator\n\nreturns the value at a given index of datatiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.getindex = function(source,operator,options) {\n\tvar data,title,results = [];\n\tif(operator.operand){\n\t\tsource(function(tiddler,title) {\n\t\t\ttitle = tiddler ? tiddler.fields.title : title;\n\t\t\tdata = options.wiki.extractTiddlerDataItem(tiddler,operator.operand);\n\t\t\tif(data) {\n\t\t\t\tresults.push(data);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/getvariable.js": {
"title": "$:/core/modules/filters/getvariable.js",
"text": "/*\\\ntitle: $:/core/modules/filters/getvariable.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing input values by the value of the variable with the same name, or blank if the variable is missing\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.getvariable = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(options.widget.getVariable(title) || \"\");\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/has.js": {
"title": "$:/core/modules/filters/has.js",
"text": "/*\\\ntitle: $:/core/modules/filters/has.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a tiddler has the specified field or index\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.has = function(source,operator,options) {\n\tvar results = [],\n\t\tinvert = operator.prefix === \"!\";\n\n\tif(operator.suffix === \"field\") {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || (tiddler && (!$tw.utils.hop(tiddler.fields,operator.operand)))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,operator.operand)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\telse if(operator.suffix === \"index\") {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || (tiddler && (!$tw.utils.hop($tw.wiki.getTiddlerDataCached(tiddler,Object.create(null)),operator.operand)))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop($tw.wiki.getTiddlerDataCached(tiddler,Object.create(null)),operator.operand)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\telse {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || !$tw.utils.hop(tiddler.fields,operator.operand) || (tiddler.fields[operator.operand] === \"\")) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,operator.operand) && !(tiddler.fields[operator.operand] === \"\" || tiddler.fields[operator.operand].length === 0)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\t\t\t\t\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/haschanged.js": {
"title": "$:/core/modules/filters/haschanged.js",
"text": "/*\\\ntitle: $:/core/modules/filters/haschanged.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returns tiddlers from the list that have a non-zero changecount.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.haschanged = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.getChangeCount(title) === 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.getChangeCount(title) > 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/indexes.js": {
"title": "$:/core/modules/filters/indexes.js",
"text": "/*\\\ntitle: $:/core/modules/filters/indexes.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the indexes of a data tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.indexes = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar data = options.wiki.getTiddlerDataCached(title);\n\t\tif(data) {\n\t\t\t$tw.utils.pushTop(results,Object.keys(data));\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/insertbefore.js": {
"title": "$:/core/modules/filters/insertbefore.js",
"text": "/*\\\ntitle: $:/core/modules/filters/insertbefore.js\ntype: application/javascript\nmodule-type: filteroperator\n\nInsert an item before another item in a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOrder a list\n*/\nexports.insertbefore = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar target = options.widget && options.widget.getVariable(operator.suffix || \"currentTiddler\");\n\tif(target !== operator.operand) {\n\t\t// Remove the entry from the list if it is present\n\t\tvar pos = results.indexOf(operator.operand);\n\t\tif(pos !== -1) {\n\t\t\tresults.splice(pos,1);\n\t\t}\n\t\t// Insert the entry before the target marker\n\t\tpos = results.indexOf(target);\n\t\tif(pos !== -1) {\n\t\t\tresults.splice(pos,0,operator.operand);\n\t\t} else {\n\t\t\tresults.push(operator.operand);\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/is/binary.js": {
"title": "$:/core/modules/filters/is/binary.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/binary.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[binary]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.binary = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isBinaryTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isBinaryTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/blank.js": {
"title": "$:/core/modules/filters/is/blank.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/blank.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[blank]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.blank = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!title) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/current.js": {
"title": "$:/core/modules/filters/is/current.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/current.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[current]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.current = function(source,prefix,options) {\n\tvar results = [],\n\t\tcurrTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\");\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title !== currTiddlerTitle) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title === currTiddlerTitle) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/image.js": {
"title": "$:/core/modules/filters/is/image.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/image.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[image]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.image = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isImageTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isImageTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/missing.js": {
"title": "$:/core/modules/filters/is/missing.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/missing.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[missing]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.missing = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/orphan.js": {
"title": "$:/core/modules/filters/is/orphan.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/orphan.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[orphan]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.orphan = function(source,prefix,options) {\n\tvar results = [],\n\t\torphanTitles = options.wiki.getOrphanTitles();\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(orphanTitles.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(orphanTitles.indexOf(title) !== -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/shadow.js": {
"title": "$:/core/modules/filters/is/shadow.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/shadow.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[shadow]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadow = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isShadowTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isShadowTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/system.js": {
"title": "$:/core/modules/filters/is/system.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/system.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[system]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.system = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isSystemTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isSystemTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/tag.js": {
"title": "$:/core/modules/filters/is/tag.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/tag.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[tag]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tag = function(source,prefix,options) {\n\tvar results = [],\n\t\ttagMap = options.wiki.getTagMap();\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!$tw.utils.hop(tagMap,title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif($tw.utils.hop(tagMap,title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/tiddler.js": {
"title": "$:/core/modules/filters/is/tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/tiddler.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[tiddler]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tiddler = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/variable.js": {
"title": "$:/core/modules/filters/is/variable.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/variable.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[variable]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.variable = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!(title in options.widget.variables)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title in options.widget.variables) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is.js": {
"title": "$:/core/modules/filters/is.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking tiddler properties\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar isFilterOperators;\n\nfunction getIsFilterOperators() {\n\tif(!isFilterOperators) {\n\t\tisFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"isfilteroperator\",isFilterOperators);\n\t}\n\treturn isFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.is = function(source,operator,options) {\n\t// Dispatch to the correct isfilteroperator\n\tvar isFilterOperators = getIsFilterOperators();\n\tif(operator.operand) {\n\t\tvar isFilterOperator = isFilterOperators[operator.operand];\n\t\tif(isFilterOperator) {\n\t\t\treturn isFilterOperator(source,operator.prefix,options);\n\t\t} else {\n\t\t\treturn [$tw.language.getString(\"Error/IsFilterOperator\")];\n\t\t}\n\t} else {\n\t\t// Return all tiddlers if the operand is missing\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t\treturn results;\n\t}\n};\n\n})();",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/limit.js": {
"title": "$:/core/modules/filters/limit.js",
"text": "/*\\\ntitle: $:/core/modules/filters/limit.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for chopping the results to a specified maximum number of entries\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.limit = function(source,operator,options) {\n\tvar results = [];\n\t// Convert to an array\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\t// Slice the array if necessary\n\tvar limit = Math.min(results.length,parseInt(operator.operand,10));\n\tif(operator.prefix === \"!\") {\n\t\tresults = results.slice(-limit);\n\t} else {\n\t\tresults = results.slice(0,limit);\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/links.js": {
"title": "$:/core/modules/filters/links.js",
"text": "/*\\\ntitle: $:/core/modules/filters/links.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning all the links from a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.links = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlerLinks(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/list.js": {
"title": "$:/core/modules/filters/list.js",
"text": "/*\\\ntitle: $:/core/modules/filters/list.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddlers whose title is listed in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.list = function(source,operator,options) {\n\tvar results = [],\n\t\ttr = $tw.utils.parseTextReference(operator.operand),\n\t\tcurrTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\"),\n\t\tlist = options.wiki.getTiddlerList(tr.title || currTiddlerTitle,tr.field,tr.index);\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tresults = list;\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/listed.js": {
"title": "$:/core/modules/filters/listed.js",
"text": "/*\\\ntitle: $:/core/modules/filters/listed.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all tiddlers that have the selected tiddlers in a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.listed = function(source,operator,options) {\n\tvar field = operator.operand || \"list\",\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.findListingsOfTiddler(title,field));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/listops.js": {
"title": "$:/core/modules/filters/listops.js",
"text": "/*\\\ntitle: $:/core/modules/filters/listops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for manipulating the current selection list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOrder a list\n*/\nexports.order = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.operand.toLowerCase() === \"reverse\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.unshift(title);\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t}\n\treturn results;\n};\n\n/*\nReverse list\n*/\nexports.reverse = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.unshift(title);\n\t});\n\treturn results;\n};\n\n/*\nFirst entry/entries in list\n*/\nexports.first = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(0,count);\n};\n\n/*\nLast entry/entries in list\n*/\nexports.last = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(-count);\n};\n\n/*\nAll but the first entry/entries of the list\n*/\nexports.rest = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count);\n};\nexports.butfirst = exports.rest;\nexports.bf = exports.rest;\n\n/*\nAll but the last entry/entries of the list\n*/\nexports.butlast = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(0,-count);\n};\nexports.bl = exports.butlast;\n\n/*\nThe nth member of the list\n*/\nexports.nth = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count - 1,count);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/lookup.js": {
"title": "$:/core/modules/filters/lookup.js",
"text": "/*\\\ntitle: $:/core/modules/filters/lookup.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that looks up values via a title prefix\n\n[lookup:<field>[<prefix>]]\n\nPrepends the prefix to the selected items and returns the specified field value\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.lookup = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(options.wiki.getTiddlerText(operator.operand + title) || options.wiki.getTiddlerText(operator.operand + operator.suffix));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/match.js": {
"title": "$:/core/modules/filters/match.js",
"text": "/*\\\ntitle: $:/core/modules/filters/match.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title matches a string\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.match = function(source,operator,options) {\n\tvar results = [],\n\t\tsuffixes = (operator.suffixes || [])[0] || [];\n\tif(suffixes.indexOf(\"caseinsensitive\") !== -1) {\n\t\tif(operator.prefix === \"!\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.toLowerCase() !== (operator.operand || \"\").toLowerCase()) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.toLowerCase() === (operator.operand || \"\").toLowerCase()) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(operator.prefix === \"!\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title !== operator.operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title === operator.operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/math.js": {
"title": "$:/core/modules/filters/math.js",
"text": "/*\\\ntitle: $:/core/modules/filters/math.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for math. Unary/binary operators work on each item in turn, and return a new item list.\n\nSum/product/maxall/minall operate on the entire list, returning a single item.\n\nNote that strings are converted to numbers automatically. Trailing non-digits are ignored.\n\n* \"\" converts to 0\n* \"12kk\" converts to 12\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.negate = makeNumericBinaryOperator(\n\tfunction(a) {return -a}\n);\n\nexports.abs = makeNumericBinaryOperator(\n\tfunction(a) {return Math.abs(a)}\n);\n\nexports.ceil = makeNumericBinaryOperator(\n\tfunction(a) {return Math.ceil(a)}\n);\n\nexports.floor = makeNumericBinaryOperator(\n\tfunction(a) {return Math.floor(a)}\n);\n\nexports.round = makeNumericBinaryOperator(\n\tfunction(a) {return Math.round(a)}\n);\n\nexports.trunc = makeNumericBinaryOperator(\n\tfunction(a) {return Math.trunc(a)}\n);\n\nexports.untrunc = makeNumericBinaryOperator(\n\tfunction(a) {return Math.ceil(Math.abs(a)) * Math.sign(a)}\n);\n\nexports.sign = makeNumericBinaryOperator(\n\tfunction(a) {return Math.sign(a)}\n);\n\nexports.add = makeNumericBinaryOperator(\n\tfunction(a,b) {return a + b;}\n);\n\nexports.subtract = makeNumericBinaryOperator(\n\tfunction(a,b) {return a - b;}\n);\n\nexports.multiply = makeNumericBinaryOperator(\n\tfunction(a,b) {return a * b;}\n);\n\nexports.divide = makeNumericBinaryOperator(\n\tfunction(a,b) {return a / b;}\n);\n\nexports.remainder = makeNumericBinaryOperator(\n\tfunction(a,b) {return a % b;}\n);\n\nexports.max = makeNumericBinaryOperator(\n\tfunction(a,b) {return Math.max(a,b);}\n);\n\nexports.min = makeNumericBinaryOperator(\n\tfunction(a,b) {return Math.min(a,b);}\n);\n\nexports.fixed = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toFixed.call(a,Math.min(Math.max(b,0),100));}\n);\n\nexports.precision = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toPrecision.call(a,Math.min(Math.max(b,1),100));}\n);\n\nexports.exponential = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toExponential.call(a,Math.min(Math.max(b,0),100));}\n);\n\nexports.sum = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return accumulator + value},\n\t0 // Initial value\n);\n\nexports.product = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return accumulator * value},\n\t1 // Initial value\n);\n\nexports.maxall = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return Math.max(accumulator,value)},\n\t-Infinity // Initial value\n);\n\nexports.minall = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return Math.min(accumulator,value)},\n\tInfinity // Initial value\n);\n\nfunction makeNumericBinaryOperator(fnCalc) {\n\treturn function(source,operator,options) {\n\t\tvar result = [],\n\t\t\tnumOperand = $tw.utils.parseNumber(operator.operand);\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push($tw.utils.stringifyNumber(fnCalc($tw.utils.parseNumber(title),numOperand)));\n\t\t});\n\t\treturn result;\n\t};\n}\n\nfunction makeNumericReducingOperator(fnCalc,initialValue) {\n\tinitialValue = initialValue || 0;\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push(title);\n\t\t});\n\t\treturn [$tw.utils.stringifyNumber(result.reduce(function(accumulator,currentValue) {\n\t\t\treturn fnCalc(accumulator,$tw.utils.parseNumber(currentValue));\n\t\t},initialValue))];\n\t};\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/minlength.js": {
"title": "$:/core/modules/filters/minlength.js",
"text": "/*\\\ntitle: $:/core/modules/filters/minlength.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for filtering out titles that don't meet the minimum length in the operand\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.minlength = function(source,operator,options) {\n\tvar results = [],\n\t\tminLength = parseInt(operator.operand || \"\",10) || 0;\n\tsource(function(tiddler,title) {\n\t\tif(title.length >= minLength) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/modules.js": {
"title": "$:/core/modules/filters/modules.js",
"text": "/*\\\ntitle: $:/core/modules/filters/modules.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the titles of the modules of a given type in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.modules = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.each($tw.modules.types[title],function(moduleInfo,moduleName) {\n\t\t\tresults.push(moduleName);\n\t\t});\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/moduletypes.js": {
"title": "$:/core/modules/filters/moduletypes.js",
"text": "/*\\\ntitle: $:/core/modules/filters/moduletypes.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the module types in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.moduletypes = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.modules.types,function(moduleInfo,type) {\n\t\tresults.push(type);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/next.js": {
"title": "$:/core/modules/filters/next.js",
"text": "/*\\\ntitle: $:/core/modules/filters/next.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler whose title occurs next in the list supplied in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.next = function(source,operator,options) {\n\tvar results = [],\n\t\tlist = options.wiki.getTiddlerList(operator.operand);\n\tsource(function(tiddler,title) {\n\t\tvar match = list.indexOf(title);\n\t\t// increment match and then test if result is in range\n\t\tmatch++;\n\t\tif(match > 0 && match < list.length) {\n\t\t\tresults.push(list[match]);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/plugintiddlers.js": {
"title": "$:/core/modules/filters/plugintiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/filters/plugintiddlers.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the titles of the shadow tiddlers within a plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.plugintiddlers = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar pluginInfo = options.wiki.getPluginInfo(title) || options.wiki.getTiddlerDataCached(title,{tiddlers:[]});\n\t\tif(pluginInfo && pluginInfo.tiddlers) {\n\t\t\t$tw.utils.each(pluginInfo.tiddlers,function(fields,title) {\n\t\t\t\tresults.push(title);\n\t\t\t});\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/prefix.js": {
"title": "$:/core/modules/filters/prefix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/prefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title starts with a prefix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.prefix = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(0,operator.operand.length) !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(0,operator.operand.length) === operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/previous.js": {
"title": "$:/core/modules/filters/previous.js",
"text": "/*\\\ntitle: $:/core/modules/filters/previous.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler whose title occurs immediately prior in the list supplied in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.previous = function(source,operator,options) {\n\tvar results = [],\n\t\tlist = options.wiki.getTiddlerList(operator.operand);\n\tsource(function(tiddler,title) {\n\t\tvar match = list.indexOf(title);\n\t\t// increment match and then test if result is in range\n\t\tmatch--;\n\t\tif(match >= 0) {\n\t\t\tresults.push(list[match]);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/range.js": {
"title": "$:/core/modules/filters/range.js",
"text": "/*\\\ntitle: $:/core/modules/filters/range.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for generating a numeric range.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.range = function(source,operator,options) {\n\tvar results = [];\n\t// Split the operand into numbers delimited by these symbols\n\tvar parts = operator.operand.split(/[,:;]/g),\n\t\tbeg, end, inc, i, fixed = 0;\n\tfor (i=0; i<parts.length; i++) {\n\t\t// Validate real number\n\t\tif(!/^\\s*[+-]?((\\d+(\\.\\d*)?)|(\\.\\d+))\\s*$/.test(parts[i])) {\n\t\t\treturn [\"range: bad number \\\"\" + parts[i] + \"\\\"\"];\n\t\t}\n\t\t// Count digits; the most precise number determines decimal places in output.\n\t\tvar frac = /\\.\\d+/.exec(parts[i]);\n\t\tif(frac) {\n\t\t\tfixed = Math.max(fixed,frac[0].length-1);\n\t\t}\n\t\tparts[i] = parseFloat(parts[i]);\n\t}\n\tswitch(parts.length) {\n\t\tcase 1:\n\t\t\tend = parts[0];\n\t\t\tif (end >= 1) {\n\t\t\t\tbeg = 1;\n\t\t\t}\n\t\t\telse if (end <= -1) {\n\t\t\t\tbeg = -1;\n\t\t\t}\n\t\t\telse {\n\t\t\t\treturn [];\n\t\t\t}\n\t\t\tinc = 1;\n\t\t\tbreak;\n\t\tcase 2:\n\t\t\tbeg = parts[0];\n\t\t\tend = parts[1];\n\t\t\tinc = 1;\n\t\t\tbreak;\n\t\tcase 3:\n\t\t\tbeg = parts[0];\n\t\t\tend = parts[1];\n\t\t\tinc = Math.abs(parts[2]);\n\t\t\tbreak;\n\t}\n\tif(inc === 0) {\n\t\treturn [\"range: increment 0 causes infinite loop\"];\n\t}\n\t// May need to count backwards\n\tvar direction = ((end < beg) ? -1 : 1);\n\tinc *= direction;\n\t// Estimate number of resulting elements\n\tif((end - beg) / inc > 10000) {\n\t\treturn [\"range: too many steps (over 10K)\"];\n\t}\n\t// Avoid rounding error on last step\n\tend += direction * 0.5 * Math.pow(0.1,fixed);\n\tvar safety = 10010;\n\t// Enumerate the range\n\tif (end<beg) {\n\t\tfor(i=beg; i>end; i+=inc) {\n\t\t\tresults.push(i.toFixed(fixed));\n\t\t\tif(--safety<0) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t} else {\n\t\tfor(i=beg; i<end; i+=inc) {\n\t\t\tresults.push(i.toFixed(fixed));\n\t\t\tif(--safety<0) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\tif(safety<0) {\n\t\treturn [\"range: unexpectedly large output\"];\n\t}\n\t// Reverse?\n\tif(operator.prefix === \"!\") {\n\t\tresults.reverse();\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/regexp.js": {
"title": "$:/core/modules/filters/regexp.js",
"text": "/*\\\ntitle: $:/core/modules/filters/regexp.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for regexp matching\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.regexp = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldname = (operator.suffix || \"title\").toLowerCase(),\n\t\tregexpString, regexp, flags = \"\", match,\n\t\tgetFieldString = function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\treturn tiddler.getFieldString(fieldname);\n\t\t\t} else if(fieldname === \"title\") {\n\t\t\t\treturn title;\n\t\t\t} else {\n\t\t\t\treturn null;\n\t\t\t}\n\t\t};\n\t// Process flags and construct regexp\n\tregexpString = operator.operand;\n\tmatch = /^\\(\\?([gim]+)\\)/.exec(regexpString);\n\tif(match) {\n\t\tflags = match[1];\n\t\tregexpString = regexpString.substr(match[0].length);\n\t} else {\n\t\tmatch = /\\(\\?([gim]+)\\)$/.exec(regexpString);\n\t\tif(match) {\n\t\t\tflags = match[1];\n\t\t\tregexpString = regexpString.substr(0,regexpString.length - match[0].length);\n\t\t}\n\t}\n\ttry {\n\t\tregexp = new RegExp(regexpString,flags);\n\t} catch(e) {\n\t\treturn [\"\" + e];\n\t}\n\t// Process the incoming tiddlers\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar text = getFieldString(tiddler,title);\n\t\t\tif(text !== null) {\n\t\t\t\tif(!regexp.exec(text)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar text = getFieldString(tiddler,title);\n\t\t\tif(text !== null) {\n\t\t\t\tif(!!regexp.exec(text)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/removeprefix.js": {
"title": "$:/core/modules/filters/removeprefix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/removeprefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for removing a prefix from each title in the list. Titles that do not start with the prefix are removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.removeprefix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(title.substr(0,operator.operand.length) === operator.operand) {\n\t\t\tresults.push(title.substr(operator.operand.length));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/removesuffix.js": {
"title": "$:/core/modules/filters/removesuffix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/removesuffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for removing a suffix from each title in the list. Titles that do not end with the suffix are removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.removesuffix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(title && title.substr(-operator.operand.length) === operator.operand) {\n\t\t\tresults.push(title.substr(0,title.length - operator.operand.length));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/sameday.js": {
"title": "$:/core/modules/filters/sameday.js",
"text": "/*\\\ntitle: $:/core/modules/filters/sameday.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects tiddlers with a modified date field on the same day as the provided value.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sameday = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName = operator.suffix || \"modified\",\n\t\ttargetDate = (new Date($tw.utils.parseDate(operator.operand))).setHours(0,0,0,0);\n\t// Function to convert a date/time to a date integer\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tif(tiddler.getFieldDay(fieldName) === targetDate) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/search.js": {
"title": "$:/core/modules/filters/search.js",
"text": "/*\\\ntitle: $:/core/modules/filters/search.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for searching for the text in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.search = function(source,operator,options) {\n\tvar invert = operator.prefix === \"!\";\n\tif(operator.suffixes) {\n\t\tvar hasFlag = function(flag) {\n\t\t\t\treturn (operator.suffixes[1] || []).indexOf(flag) !== -1;\n\t\t\t},\n\t\t\texcludeFields = false,\n\t\t\tfieldList = operator.suffixes[0] || [],\n\t\t\tfirstField = fieldList[0] || \"\", \n\t\t\tfirstChar = firstField.charAt(0),\n\t\t\tfields;\n\t\tif(firstChar === \"-\") {\n\t\t\tfields = [firstField.slice(1)].concat(fieldList.slice(1));\n\t\t\texcludeFields = true;\n\t\t} else if(fieldList[0] === \"*\"){\n\t\t\tfields = [];\n\t\t\texcludeFields = true;\n\t\t} else {\n\t\t\tfields = fieldList.slice(0);\n\t\t}\n\t\treturn options.wiki.search(operator.operand,{\n\t\t\tsource: source,\n\t\t\tinvert: invert,\n\t\t\tfield: fields,\n\t\t\texcludeField: excludeFields,\n\t\t\tcaseSensitive: hasFlag(\"casesensitive\"),\n\t\t\tliteral: hasFlag(\"literal\"),\n\t\t\twhitespace: hasFlag(\"whitespace\"),\n\t\t\tanchored: hasFlag(\"anchored\"),\n\t\t\tregexp: hasFlag(\"regexp\"),\n\t\t\twords: hasFlag(\"words\")\n\t\t});\n\t} else {\n\t\treturn options.wiki.search(operator.operand,{\n\t\t\tsource: source,\n\t\t\tinvert: invert\n\t\t});\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/shadowsource.js": {
"title": "$:/core/modules/filters/shadowsource.js",
"text": "/*\\\ntitle: $:/core/modules/filters/shadowsource.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the source plugins for shadow tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadowsource = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar source = options.wiki.getShadowSource(title);\n\t\tif(source) {\n\t\t\t$tw.utils.pushTop(results,source);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/sort.js": {
"title": "$:/core/modules/filters/sort.js",
"text": "/*\\\ntitle: $:/core/modules/filters/sort.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for sorting\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sort = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",false,false);\n\treturn results;\n};\n\nexports.nsort = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",false,true);\n\treturn results;\n};\n\nexports.sortan = function(source, operator, options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results, operator.operand || \"title\", operator.prefix === \"!\",false,false,true);\n\treturn results;\n};\n\nexports.sortcs = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",true,false);\n\treturn results;\n};\n\nexports.nsortcs = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",true,true);\n\treturn results;\n};\n\nvar prepare_results = function (source) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/splitbefore.js": {
"title": "$:/core/modules/filters/splitbefore.js",
"text": "/*\\\ntitle: $:/core/modules/filters/splitbefore.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that splits each result on the first occurance of the specified separator and returns the unique values.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.splitbefore = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar parts = title.split(operator.operand);\n\t\tif(parts.length === 1) {\n\t\t\t$tw.utils.pushTop(results,parts[0]);\n\t\t} else {\n\t\t\t$tw.utils.pushTop(results,parts[0] + operator.operand);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/storyviews.js": {
"title": "$:/core/modules/filters/storyviews.js",
"text": "/*\\\ntitle: $:/core/modules/filters/storyviews.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the story views in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.storyviews = function(source,operator,options) {\n\tvar results = [],\n\t\tstoryviews = {};\n\t$tw.modules.applyMethods(\"storyview\",storyviews);\n\t$tw.utils.each(storyviews,function(info,name) {\n\t\tresults.push(name);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/strings.js": {
"title": "$:/core/modules/filters/strings.js",
"text": "/*\\\ntitle: $:/core/modules/filters/strings.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for strings. Unary/binary operators work on each item in turn, and return a new item list.\n\nSum/product/maxall/minall operate on the entire list, returning a single item.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.length = makeStringBinaryOperator(\n\tfunction(a) {return [\"\" + (\"\" + a).length];}\n);\n\nexports.uppercase = makeStringBinaryOperator(\n\tfunction(a) {return [(\"\" + a).toUpperCase()];}\n);\n\nexports.lowercase = makeStringBinaryOperator(\n\tfunction(a) {return [(\"\" + a).toLowerCase()];}\n);\n\nexports.sentencecase = makeStringBinaryOperator(\n\tfunction(a) {return [$tw.utils.toSentenceCase(a)];}\n);\n\nexports.titlecase = makeStringBinaryOperator(\n\tfunction(a) {return [$tw.utils.toTitleCase(a)];}\n);\n\nexports.trim = makeStringBinaryOperator(\n\tfunction(a) {return [$tw.utils.trim(a)];}\n);\n\nexports.split = makeStringBinaryOperator(\n\tfunction(a,b) {return (\"\" + a).split(b);}\n);\n\nexports.join = makeStringReducingOperator(\n\tfunction(accumulator,value,operand) {\n\t\tif(accumulator === null) {\n\t\t\treturn value;\n\t\t} else {\n\t\t\treturn accumulator + operand + value;\n\t\t}\n\t},null\n);\n\nfunction makeStringBinaryOperator(fnCalc) {\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tArray.prototype.push.apply(result,fnCalc(title,operator.operand || \"\"));\n\t\t});\n\t\treturn result;\n\t};\n}\n\nfunction makeStringReducingOperator(fnCalc,initialValue) {\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push(title);\n\t\t});\n\t\treturn [result.reduce(function(accumulator,currentValue) {\n\t\t\treturn fnCalc(accumulator,currentValue,operator.operand || \"\");\n\t\t},initialValue) || \"\"];\n\t};\n}\n\nexports.splitregexp = function(source,operator,options) {\n\tvar result = [],\n\t\tsuffix = operator.suffix || \"\",\n\t\tflags = (suffix.indexOf(\"m\") !== -1 ? \"m\" : \"\") + (suffix.indexOf(\"i\") !== -1 ? \"i\" : \"\"),\n\t\tregExp;\n\ttry {\n\t\tregExp = new RegExp(operator.operand || \"\",flags);\t\t\n\t} catch(ex) {\n\t\treturn [\"RegExp error: \" + ex];\n\t}\n\tsource(function(tiddler,title) {\n\t\tArray.prototype.push.apply(result,title.split(regExp));\n\t});\t\t\n\treturn result;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/subfilter.js": {
"title": "$:/core/modules/filters/subfilter.js",
"text": "/*\\\ntitle: $:/core/modules/filters/subfilter.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning its operand evaluated as a filter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.subfilter = function(source,operator,options) {\n\tvar list = options.wiki.filterTiddlers(operator.operand,options.widget,source);\n\tif(operator.prefix === \"!\") {\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t\treturn results;\n\t} else {\n\t\treturn list;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/subtiddlerfields.js": {
"title": "$:/core/modules/filters/subtiddlerfields.js",
"text": "/*\\\ntitle: $:/core/modules/filters/subtiddlerfields.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the fields on the selected subtiddlers of the plugin named in the operand\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.subtiddlerfields = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar subtiddler = options.wiki.getSubTiddler(operator.operand,title);\n\t\tif(subtiddler) {\n\t\t\tfor(var fieldName in subtiddler.fields) {\n\t\t\t\t$tw.utils.pushTop(results,fieldName);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/suffix.js": {
"title": "$:/core/modules/filters/suffix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/suffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title ends with a suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.suffix = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(-operator.operand.length) !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(-operator.operand.length) === operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/tag.js": {
"title": "$:/core/modules/filters/tag.js",
"text": "/*\\\ntitle: $:/core/modules/filters/tag.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking for the presence of a tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tag = function(source,operator,options) {\n\tvar results = [],indexedResults;\n\tif((operator.suffix || \"\").toLowerCase() === \"strict\" && !operator.operand) {\n\t\t// New semantics:\n\t\t// Always return copy of input if operator.operand is missing\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t} else {\n\t\t// Old semantics:\n\t\tvar tiddlers;\n\t\tif(operator.prefix === \"!\") {\n\t\t\t// Returns a copy of the input if operator.operand is missing\n\t\t\ttiddlers = options.wiki.getTiddlersWithTag(operator.operand);\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddlers.indexOf(title) === -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\t// Returns empty results if operator.operand is missing\n\t\t\tif(source.byTag) {\n\t\t\t\tindexedResults = source.byTag(operator.operand);\n\t\t\t\tif(indexedResults) {\n\t\t\t\t\treturn indexedResults;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ttiddlers = options.wiki.getTiddlersWithTag(operator.operand);\n\t\t\t\tsource(function(tiddler,title) {\n\t\t\t\t\tif(tiddlers.indexOf(title) !== -1) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tresults = options.wiki.sortByList(results,operator.operand);\n\t\t\t}\n\t\t}\t\t\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/tagging.js": {
"title": "$:/core/modules/filters/tagging.js",
"text": "/*\\\ntitle: $:/core/modules/filters/tagging.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all tiddlers that are tagged with the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tagging = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlersWithTag(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/tags.js": {
"title": "$:/core/modules/filters/tags.js",
"text": "/*\\\ntitle: $:/core/modules/filters/tags.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all the tags of the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tags = function(source,operator,options) {\n\tvar tags = {};\n\tsource(function(tiddler,title) {\n\t\tvar t, length;\n\t\tif(tiddler && tiddler.fields.tags) {\n\t\t\tfor(t=0, length=tiddler.fields.tags.length; t<length; t++) {\n\t\t\t\ttags[tiddler.fields.tags[t]] = true;\n\t\t\t}\n\t\t}\n\t});\n\treturn Object.keys(tags);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/then.js": {
"title": "$:/core/modules/filters/then.js",
"text": "/*\\\ntitle: $:/core/modules/filters/then.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing any titles with a constant\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.then = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(operator.operand);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/title.js": {
"title": "$:/core/modules/filters/title.js",
"text": "/*\\\ntitle: $:/core/modules/filters/title.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for comparing title fields for equality\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.title = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields.title !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tresults.push(operator.operand);\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/untagged.js": {
"title": "$:/core/modules/filters/untagged.js",
"text": "/*\\\ntitle: $:/core/modules/filters/untagged.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all the selected tiddlers that are untagged\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.untagged = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && $tw.utils.isArray(tiddler.fields.tags) && tiddler.fields.tags.length > 0) {\n\t\t\t\t$tw.utils.pushTop(results,title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!tiddler || !tiddler.hasField(\"tags\") || ($tw.utils.isArray(tiddler.fields.tags) && tiddler.fields.tags.length === 0)) {\n\t\t\t\t$tw.utils.pushTop(results,title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/variables.js": {
"title": "$:/core/modules/filters/variables.js",
"text": "/*\\\ntitle: $:/core/modules/filters/variables.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the active variables\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.variables = function(source,operator,options) {\n\tvar names = [];\n\tfor(var variable in options.widget.variables) {\n\t\tnames.push(variable);\n\t}\n\treturn names.sort();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/wikiparserrules.js": {
"title": "$:/core/modules/filters/wikiparserrules.js",
"text": "/*\\\ntitle: $:/core/modules/filters/wikiparserrules.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the wiki parser rules in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.wikiparserrules = function(source,operator,options) {\n\tvar results = [],\n\t\toperand = operator.operand;\n\t$tw.utils.each($tw.modules.types.wikirule,function(mod) {\n\t\tvar exp = mod.exports;\n\t\tif(!operand || exp.types[operand]) {\n\t\t\tresults.push(exp.name);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/x-listops.js": {
"title": "$:/core/modules/filters/x-listops.js",
"text": "/*\\\ntitle: $:/core/modules/filters/x-listops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nExtended filter operators to manipulate the current list.\n\n\\*/\n(function () {\n\n /*jslint node: true, browser: true */\n /*global $tw: false */\n \"use strict\";\n\n /*\n Fetch titles from the current list\n */\n var prepare_results = function (source) {\n var results = [];\n source(function (tiddler, title) {\n results.push(title);\n });\n return results;\n };\n\n /*\n Moves a number of items from the tail of the current list before the item named in the operand\n */\n exports.putbefore = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = $tw.utils.getInt(operator.suffix,1);\n return (index === -1) ?\n results.slice(0, -1) :\n results.slice(0, index).concat(results.slice(-count)).concat(results.slice(index, -count));\n };\n\n /*\n Moves a number of items from the tail of the current list after the item named in the operand\n */\n exports.putafter = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = $tw.utils.getInt(operator.suffix,1);\n return (index === -1) ?\n results.slice(0, -1) :\n results.slice(0, index + 1).concat(results.slice(-count)).concat(results.slice(index + 1, -count));\n };\n\n /*\n Replaces the item named in the operand with a number of items from the tail of the current list\n */\n exports.replace = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = $tw.utils.getInt(operator.suffix,1);\n return (index === -1) ?\n results.slice(0, -count) :\n results.slice(0, index).concat(results.slice(-count)).concat(results.slice(index + 1, -count));\n };\n\n /*\n Moves a number of items from the tail of the current list to the head of the list\n */\n exports.putfirst = function (source, operator) {\n var results = prepare_results(source),\n count = $tw.utils.getInt(operator.suffix,1);\n return results.slice(-count).concat(results.slice(0, -count));\n };\n\n /*\n Moves a number of items from the head of the current list to the tail of the list\n */\n exports.putlast = function (source, operator) {\n var results = prepare_results(source),\n count = $tw.utils.getInt(operator.suffix,1);\n return results.slice(count).concat(results.slice(0, count));\n };\n\n /*\n Moves the item named in the operand a number of places forward or backward in the list\n */\n exports.move = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = $tw.utils.getInt(operator.suffix,1),\n marker = results.splice(index, 1),\n offset = (index + count) > 0 ? index + count : 0;\n return results.slice(0, offset).concat(marker).concat(results.slice(offset));\n };\n\n /*\n Returns the items from the current list that are after the item named in the operand\n */\n exports.allafter = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand);\n return (index === -1) ? [] :\n (operator.suffix) ? results.slice(index) :\n results.slice(index + 1);\n };\n\n /*\n Returns the items from the current list that are before the item named in the operand\n */\n exports.allbefore = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand);\n return (index === -1) ? [] :\n (operator.suffix) ? results.slice(0, index + 1) :\n results.slice(0, index);\n };\n\n /*\n Appends the items listed in the operand array to the tail of the current list\n */\n exports.append = function (source, operator) {\n var append = $tw.utils.parseStringArray(operator.operand, \"true\"),\n results = prepare_results(source),\n count = parseInt(operator.suffix) || append.length;\n return (append.length === 0) ? results :\n (operator.prefix) ? results.concat(append.slice(-count)) :\n results.concat(append.slice(0, count));\n };\n\n /*\n Prepends the items listed in the operand array to the head of the current list\n */\n exports.prepend = function (source, operator) {\n var prepend = $tw.utils.parseStringArray(operator.operand, \"true\"),\n results = prepare_results(source),\n count = $tw.utils.getInt(operator.suffix,prepend.length);\n return (prepend.length === 0) ? results :\n (operator.prefix) ? prepend.slice(-count).concat(results) :\n prepend.slice(0, count).concat(results);\n };\n\n /*\n Returns all items from the current list except the items listed in the operand array\n */\n exports.remove = function (source, operator) {\n var array = $tw.utils.parseStringArray(operator.operand, \"true\"),\n results = prepare_results(source),\n count = parseInt(operator.suffix) || array.length,\n p,\n len,\n index;\n len = array.length - 1;\n for (p = 0; p < count; ++p) {\n if (operator.prefix) {\n index = results.indexOf(array[len - p]);\n } else {\n index = results.indexOf(array[p]);\n }\n if (index !== -1) {\n results.splice(index, 1);\n }\n }\n return results;\n };\n\n /*\n Returns all items from the current list sorted in the order of the items in the operand array\n */\n exports.sortby = function (source, operator) {\n var results = prepare_results(source);\n if (!results || results.length < 2) {\n return results;\n }\n var lookup = $tw.utils.parseStringArray(operator.operand, \"true\");\n results.sort(function (a, b) {\n return lookup.indexOf(a) - lookup.indexOf(b);\n });\n return results;\n };\n\n /*\n Removes all duplicate items from the current list\n */\n exports.unique = function (source, operator) {\n var results = prepare_results(source);\n var set = results.reduce(function (a, b) {\n if (a.indexOf(b) < 0) {\n a.push(b);\n }\n return a;\n }, []);\n return set;\n };\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters.js": {
"title": "$:/core/modules/filters.js",
"text": "/*\\\ntitle: $:/core/modules/filters.js\ntype: application/javascript\nmodule-type: wikimethod\n\nAdds tiddler filtering methods to the $tw.Wiki object.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParses an operation (i.e. a run) within a filter string\n\toperators: Array of array of operator nodes into which results should be inserted\n\tfilterString: filter string\n\tp: start position within the string\nReturns the new start position, after the parsed operation\n*/\nfunction parseFilterOperation(operators,filterString,p) {\n\tvar nextBracketPos, operator;\n\t// Skip the starting square bracket\n\tif(filterString.charAt(p++) !== \"[\") {\n\t\tthrow \"Missing [ in filter expression\";\n\t}\n\t// Process each operator in turn\n\tdo {\n\t\toperator = {};\n\t\t// Check for an operator prefix\n\t\tif(filterString.charAt(p) === \"!\") {\n\t\t\toperator.prefix = filterString.charAt(p++);\n\t\t}\n\t\t// Get the operator name\n\t\tnextBracketPos = filterString.substring(p).search(/[\\[\\{<\\/]/);\n\t\tif(nextBracketPos === -1) {\n\t\t\tthrow \"Missing [ in filter expression\";\n\t\t}\n\t\tnextBracketPos += p;\n\t\tvar bracket = filterString.charAt(nextBracketPos);\n\t\toperator.operator = filterString.substring(p,nextBracketPos);\n\t\t// Any suffix?\n\t\tvar colon = operator.operator.indexOf(':');\n\t\tif(colon > -1) {\n\t\t\t// The raw suffix for older filters\n\t\t\toperator.suffix = operator.operator.substring(colon + 1);\n\t\t\toperator.operator = operator.operator.substring(0,colon) || \"field\";\n\t\t\t// The processed suffix for newer filters\n\t\t\toperator.suffixes = [];\n\t\t\t$tw.utils.each(operator.suffix.split(\":\"),function(subsuffix) {\n\t\t\t\toperator.suffixes.push([]);\n\t\t\t\t$tw.utils.each(subsuffix.split(\",\"),function(entry) {\n\t\t\t\t\tentry = $tw.utils.trim(entry);\n\t\t\t\t\tif(entry) {\n\t\t\t\t\t\toperator.suffixes[operator.suffixes.length - 1].push(entry); \n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t});\n\t\t}\n\t\t// Empty operator means: title\n\t\telse if(operator.operator === \"\") {\n\t\t\toperator.operator = \"title\";\n\t\t}\n\n\t\tp = nextBracketPos + 1;\n\t\tswitch (bracket) {\n\t\t\tcase \"{\": // Curly brackets\n\t\t\t\toperator.indirect = true;\n\t\t\t\tnextBracketPos = filterString.indexOf(\"}\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"[\": // Square brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\"]\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"<\": // Angle brackets\n\t\t\t\toperator.variable = true;\n\t\t\t\tnextBracketPos = filterString.indexOf(\">\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"/\": // regexp brackets\n\t\t\t\tvar rex = /^((?:[^\\\\\\/]*|\\\\.)*)\\/(?:\\(([mygi]+)\\))?/g,\n\t\t\t\t\trexMatch = rex.exec(filterString.substring(p));\n\t\t\t\tif(rexMatch) {\n\t\t\t\t\toperator.regexp = new RegExp(rexMatch[1], rexMatch[2]);\n// DEPRECATION WARNING\nconsole.log(\"WARNING: Filter\",operator.operator,\"has a deprecated regexp operand\",operator.regexp);\n\t\t\t\t\tnextBracketPos = p + rex.lastIndex - 1;\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tthrow \"Unterminated regular expression in filter expression\";\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\n\t\tif(nextBracketPos === -1) {\n\t\t\tthrow \"Missing closing bracket in filter expression\";\n\t\t}\n\t\tif(!operator.regexp) {\n\t\t\toperator.operand = filterString.substring(p,nextBracketPos);\n\t\t}\n\t\tp = nextBracketPos + 1;\n\n\t\t// Push this operator\n\t\toperators.push(operator);\n\t} while(filterString.charAt(p) !== \"]\");\n\t// Skip the ending square bracket\n\tif(filterString.charAt(p++) !== \"]\") {\n\t\tthrow \"Missing ] in filter expression\";\n\t}\n\t// Return the parsing position\n\treturn p;\n}\n\n/*\nParse a filter string\n*/\nexports.parseFilter = function(filterString) {\n\tfilterString = filterString || \"\";\n\tvar results = [], // Array of arrays of operator nodes {operator:,operand:}\n\t\tp = 0, // Current position in the filter string\n\t\tmatch;\n\tvar whitespaceRegExp = /(\\s+)/mg,\n\t\toperandRegExp = /((?:\\+|\\-|~|=)?)(?:(\\[)|(?:\"([^\"]*)\")|(?:'([^']*)')|([^\\s\\[\\]]+))/mg;\n\twhile(p < filterString.length) {\n\t\t// Skip any whitespace\n\t\twhitespaceRegExp.lastIndex = p;\n\t\tmatch = whitespaceRegExp.exec(filterString);\n\t\tif(match && match.index === p) {\n\t\t\tp = p + match[0].length;\n\t\t}\n\t\t// Match the start of the operation\n\t\tif(p < filterString.length) {\n\t\t\toperandRegExp.lastIndex = p;\n\t\t\tmatch = operandRegExp.exec(filterString);\n\t\t\tif(!match || match.index !== p) {\n\t\t\t\tthrow $tw.language.getString(\"Error/FilterSyntax\");\n\t\t\t}\n\t\t\tvar operation = {\n\t\t\t\tprefix: \"\",\n\t\t\t\toperators: []\n\t\t\t};\n\t\t\tif(match[1]) {\n\t\t\t\toperation.prefix = match[1];\n\t\t\t\tp++;\n\t\t\t}\n\t\t\tif(match[2]) { // Opening square bracket\n\t\t\t\tp = parseFilterOperation(operation.operators,filterString,p);\n\t\t\t} else {\n\t\t\t\tp = match.index + match[0].length;\n\t\t\t}\n\t\t\tif(match[3] || match[4] || match[5]) { // Double quoted string, single quoted string or unquoted title\n\t\t\t\toperation.operators.push(\n\t\t\t\t\t{operator: \"title\", operand: match[3] || match[4] || match[5]}\n\t\t\t\t);\n\t\t\t}\n\t\t\tresults.push(operation);\n\t\t}\n\t}\n\treturn results;\n};\n\nexports.getFilterOperators = function() {\n\tif(!this.filterOperators) {\n\t\t$tw.Wiki.prototype.filterOperators = {};\n\t\t$tw.modules.applyMethods(\"filteroperator\",this.filterOperators);\n\t}\n\treturn this.filterOperators;\n};\n\nexports.filterTiddlers = function(filterString,widget,source) {\n\tvar fn = this.compileFilter(filterString);\n\treturn fn.call(this,source,widget);\n};\n\n/*\nCompile a filter into a function with the signature fn(source,widget) where:\nsource: an iterator function for the source tiddlers, called source(iterator), where iterator is called as iterator(tiddler,title)\nwidget: an optional widget node for retrieving the current tiddler etc.\n*/\nexports.compileFilter = function(filterString) {\n\tvar filterParseTree;\n\ttry {\n\t\tfilterParseTree = this.parseFilter(filterString);\n\t} catch(e) {\n\t\treturn function(source,widget) {\n\t\t\treturn [$tw.language.getString(\"Error/Filter\") + \": \" + e];\n\t\t};\n\t}\n\t// Get the hashmap of filter operator functions\n\tvar filterOperators = this.getFilterOperators();\n\t// Assemble array of functions, one for each operation\n\tvar operationFunctions = [];\n\t// Step through the operations\n\tvar self = this;\n\t$tw.utils.each(filterParseTree,function(operation) {\n\t\t// Create a function for the chain of operators in the operation\n\t\tvar operationSubFunction = function(source,widget) {\n\t\t\tvar accumulator = source,\n\t\t\t\tresults = [],\n\t\t\t\tcurrTiddlerTitle = widget && widget.getVariable(\"currentTiddler\");\n\t\t\t$tw.utils.each(operation.operators,function(operator) {\n\t\t\t\tvar operand = operator.operand,\n\t\t\t\t\toperatorFunction;\n\t\t\t\tif(!operator.operator) {\n\t\t\t\t\toperatorFunction = filterOperators.title;\n\t\t\t\t} else if(!filterOperators[operator.operator]) {\n\t\t\t\t\toperatorFunction = filterOperators.field;\n\t\t\t\t} else {\n\t\t\t\t\toperatorFunction = filterOperators[operator.operator];\n\t\t\t\t}\n\t\t\t\tif(operator.indirect) {\n\t\t\t\t\toperand = self.getTextReference(operator.operand,\"\",currTiddlerTitle);\n\t\t\t\t}\n\t\t\t\tif(operator.variable) {\n\t\t\t\t\toperand = widget.getVariable(operator.operand,{defaultValue: \"\"});\n\t\t\t\t}\n\t\t\t\t// Invoke the appropriate filteroperator module\n\t\t\t\tresults = operatorFunction(accumulator,{\n\t\t\t\t\t\t\toperator: operator.operator,\n\t\t\t\t\t\t\toperand: operand,\n\t\t\t\t\t\t\tprefix: operator.prefix,\n\t\t\t\t\t\t\tsuffix: operator.suffix,\n\t\t\t\t\t\t\tsuffixes: operator.suffixes,\n\t\t\t\t\t\t\tregexp: operator.regexp\n\t\t\t\t\t\t},{\n\t\t\t\t\t\t\twiki: self,\n\t\t\t\t\t\t\twidget: widget\n\t\t\t\t\t\t});\n\t\t\t\tif($tw.utils.isArray(results)) {\n\t\t\t\t\taccumulator = self.makeTiddlerIterator(results);\n\t\t\t\t} else {\n\t\t\t\t\taccumulator = results;\n\t\t\t\t}\n\t\t\t});\n\t\t\tif($tw.utils.isArray(results)) {\n\t\t\t\treturn results;\n\t\t\t} else {\n\t\t\t\tvar resultArray = [];\n\t\t\t\tresults(function(tiddler,title) {\n\t\t\t\t\tresultArray.push(title);\n\t\t\t\t});\n\t\t\t\treturn resultArray;\n\t\t\t}\n\t\t};\n\t\t// Wrap the operator functions in a wrapper function that depends on the prefix\n\t\toperationFunctions.push((function() {\n\t\t\tswitch(operation.prefix || \"\") {\n\t\t\t\tcase \"\": // No prefix means that the operation is unioned into the result\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t$tw.utils.pushTop(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"=\": // The results of the operation are pushed into the result without deduplication\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\tArray.prototype.push.apply(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"-\": // The results of this operation are removed from the main result\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t$tw.utils.removeArrayEntries(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"+\": // This operation is applied to the main results so far\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t// This replaces all the elements of the array, but keeps the actual array so that references to it are preserved\n\t\t\t\t\t\tsource = self.makeTiddlerIterator(results);\n\t\t\t\t\t\tresults.splice(0,results.length);\n\t\t\t\t\t\t$tw.utils.pushTop(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"~\": // This operation is unioned into the result only if the main result so far is empty\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\tif(results.length === 0) {\n\t\t\t\t\t\t\t// Main result so far is empty\n\t\t\t\t\t\t\t$tw.utils.pushTop(results,operationSubFunction(source,widget));\n\t\t\t\t\t\t}\n\t\t\t\t\t};\n\t\t\t}\n\t\t})());\n\t});\n\t// Return a function that applies the operations to a source iterator of tiddler titles\n\treturn $tw.perf.measure(\"filter: \" + filterString,function filterFunction(source,widget) {\n\t\tif(!source) {\n\t\t\tsource = self.each;\n\t\t} else if(typeof source === \"object\") { // Array or hashmap\n\t\t\tsource = self.makeTiddlerIterator(source);\n\t\t}\n\t\tvar results = [];\n\t\t$tw.utils.each(operationFunctions,function(operationFunction) {\n\t\t\toperationFunction(results,source,widget);\n\t\t});\n\t\treturn results;\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikimethod"
},
"$:/core/modules/indexers/backlinks-indexer.js": {
"title": "$:/core/modules/indexers/backlinks-indexer.js",
"text": "/*\\\ntitle: $:/core/modules/indexers/backlinks-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers' backlinks\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\n\nfunction BacklinksIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nBacklinksIndexer.prototype.init = function() {\n\tthis.index = null;\n}\n\nBacklinksIndexer.prototype.rebuild = function() {\n\tthis.index = null;\n}\n\nBacklinksIndexer.prototype._getLinks = function(tiddler) {\n\tvar parser = this.wiki.parseText(tiddler.fields.type, tiddler.fields.text, {});\n\tif(parser) {\n\t\treturn this.wiki.extractLinks(parser.tree);\n\t}\n\treturn [];\n}\n\nBacklinksIndexer.prototype.update = function(updateDescriptor) {\n\tif(!this.index) {\n\t\treturn;\n\t}\n\tvar newLinks = [],\n\t oldLinks = [],\n\t self = this;\n\tif(updateDescriptor.old.exists) {\n\t\toldLinks = this._getLinks(updateDescriptor.old.tiddler);\n\t}\n\tif(updateDescriptor.new.exists) {\n\t\tnewLinks = this._getLinks(updateDescriptor.new.tiddler);\n\t}\n\n\t$tw.utils.each(oldLinks,function(link) {\n\t\tif(self.index[link]) {\n\t\t\tdelete self.index[link][updateDescriptor.old.tiddler.fields.title];\n\t\t}\n\t});\n\t$tw.utils.each(newLinks,function(link) {\n\t\tif(!self.index[link]) {\n\t\t\tself.index[link] = Object.create(null);\n\t\t}\n\t\tself.index[link][updateDescriptor.new.tiddler.fields.title] = true;\n\t});\n}\n\nBacklinksIndexer.prototype.lookup = function(title) {\n\tif(!this.index) {\n\t\tthis.index = Object.create(null);\n\t\tvar self = this;\n\t\tthis.wiki.forEachTiddler(function(title,tiddler) {\n\t\t\tvar links = self._getLinks(tiddler);\n\t\t\t$tw.utils.each(links, function(link) {\n\t\t\t\tif(!self.index[link]) {\n\t\t\t\t\tself.index[link] = Object.create(null);\n\t\t\t\t}\n\t\t\t\tself.index[link][title] = true;\n\t\t\t});\n\t\t});\n\t}\n\tif(this.index[title]) {\n\t\treturn Object.keys(this.index[title]);\n\t} else {\n\t\treturn [];\n\t}\n}\n\nexports.BacklinksIndexer = BacklinksIndexer;\n\n})();\n",
"type": "application/javascript",
"module-type": "indexer"
},
"$:/core/modules/indexers/field-indexer.js": {
"title": "$:/core/modules/indexers/field-indexer.js",
"text": "/*\\\ntitle: $:/core/modules/indexers/field-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers with each field value\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\nvar DEFAULT_MAXIMUM_INDEXED_VALUE_LENGTH = 128;\n\nfunction FieldIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nFieldIndexer.prototype.init = function() {\n\tthis.index = null;\n\tthis.maxIndexedValueLength = DEFAULT_MAXIMUM_INDEXED_VALUE_LENGTH;\n\tthis.addIndexMethods();\n}\n\n// Provided for testing\nFieldIndexer.prototype.setMaxIndexedValueLength = function(length) {\n\tthis.index = null;\n\tthis.maxIndexedValueLength = length;\n};\n\nFieldIndexer.prototype.addIndexMethods = function() {\n\tvar self = this;\n\tthis.wiki.each.byField = function(name,value) {\n\t\tvar titles = self.wiki.allTitles(),\n\t\t\tlookup = self.lookup(name,value);\n\t\treturn lookup && lookup.filter(function(title) {\n\t\t\treturn titles.indexOf(title) !== -1;\n\t\t});\n\t};\n\tthis.wiki.eachShadow.byField = function(name,value) {\n\t\tvar titles = self.wiki.allShadowTitles(),\n\t\t\tlookup = self.lookup(name,value);\n\t\treturn lookup && lookup.filter(function(title) {\n\t\t\treturn titles.indexOf(title) !== -1;\n\t\t});\n\t};\n\tthis.wiki.eachTiddlerPlusShadows.byField = function(name,value) {\n\t\tvar lookup = self.lookup(name,value);\n\t\treturn lookup ? lookup.slice(0) : null;\n\t};\n\tthis.wiki.eachShadowPlusTiddlers.byField = function(name,value) {\n\t\tvar lookup = self.lookup(name,value);\n\t\treturn lookup ? lookup.slice(0) : null;\n\t};\n};\n\n/*\nTear down and then rebuild the index as if all tiddlers have changed\n*/\nFieldIndexer.prototype.rebuild = function() {\n\t// Invalidate the index so that it will be rebuilt when it is next used\n\tthis.index = null;\n};\n\n/*\nBuild the index for a particular field\n*/\nFieldIndexer.prototype.buildIndexForField = function(name) {\n\tvar self = this;\n\t// Hashmap by field name of hashmap by field value of array of tiddler titles\n\tthis.index = this.index || Object.create(null);\n\tthis.index[name] = Object.create(null);\n\tvar baseIndex = this.index[name];\n\t// Update the index for each tiddler\n\tthis.wiki.eachTiddlerPlusShadows(function(tiddler,title) {\n\t\tif(name in tiddler.fields) {\n\t\t\tvar value = tiddler.getFieldString(name);\n\t\t\t// Skip any values above the maximum length\n\t\t\tif(value.length < self.maxIndexedValueLength) {\n\t\t\t\tbaseIndex[value] = baseIndex[value] || [];\n\t\t\t\tbaseIndex[value].push(title);\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nUpdate the index in the light of a tiddler value changing; note that the title must be identical. (Renames are handled as a separate delete and create)\nupdateDescriptor: {old: {tiddler: <tiddler>, shadow: <boolean>, exists: <boolean>},new: {tiddler: <tiddler>, shadow: <boolean>, exists: <boolean>}}\n*/\nFieldIndexer.prototype.update = function(updateDescriptor) {\n\tvar self = this;\n\t// Don't do anything if the index hasn't been built yet\n\tif(this.index === null) {\n\t\treturn;\n\t}\n\t// Remove the old tiddler from the index\n\tif(updateDescriptor.old.tiddler) {\n\t\t$tw.utils.each(this.index,function(indexEntry,name) {\n\t\t\tif(name in updateDescriptor.old.tiddler.fields) {\n\t\t\t\tvar value = updateDescriptor.old.tiddler.getFieldString(name),\n\t\t\t\t\ttiddlerList = indexEntry[value];\n\t\t\t\tif(tiddlerList) {\n\t\t\t\t\tvar index = tiddlerList.indexOf(updateDescriptor.old.tiddler.fields.title);\n\t\t\t\t\tif(index !== -1) {\n\t\t\t\t\t\ttiddlerList.splice(index,1);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\t// Add the new tiddler to the index\n\tif(updateDescriptor[\"new\"].tiddler) {\n\t\t$tw.utils.each(this.index,function(indexEntry,name) {\n\t\t\tif(name in updateDescriptor[\"new\"].tiddler.fields) {\n\t\t\t\tvar value = updateDescriptor[\"new\"].tiddler.getFieldString(name);\n\t\t\t\tif(value.length < self.maxIndexedValueLength) {\n\t\t\t\t\tindexEntry[value] = indexEntry[value] || [];\n\t\t\t\t\tindexEntry[value].push(updateDescriptor[\"new\"].tiddler.fields.title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\t\t\n\t}\n};\n\n// Lookup the given field returning a list of tiddler titles\nFieldIndexer.prototype.lookup = function(name,value) {\n\t// Fail the lookup if the value is too long\n\tif(value.length >= this.maxIndexedValueLength) {\n\t\treturn null;\n\t}\n\t// Update the index if it has yet to be built\n\tif(this.index === null || !this.index[name]) {\n\t\tthis.buildIndexForField(name);\n\t}\n\treturn this.index[name][value] || [];\n};\n\nexports.FieldIndexer = FieldIndexer;\n\n})();\n",
"type": "application/javascript",
"module-type": "indexer"
},
"$:/core/modules/indexers/tag-indexer.js": {
"title": "$:/core/modules/indexers/tag-indexer.js",
"text": "/*\\\ntitle: $:/core/modules/indexers/tag-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers with each tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\nfunction TagIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nTagIndexer.prototype.init = function() {\n\tthis.subIndexers = [\n\t\tnew TagSubIndexer(this,\"each\"),\n\t\tnew TagSubIndexer(this,\"eachShadow\"),\n\t\tnew TagSubIndexer(this,\"eachTiddlerPlusShadows\"),\n\t\tnew TagSubIndexer(this,\"eachShadowPlusTiddlers\")\n\t];\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.addIndexMethod();\n\t});\n};\n\nTagIndexer.prototype.rebuild = function() {\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.rebuild();\n\t});\n};\n\nTagIndexer.prototype.update = function(updateDescriptor) {\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.update(updateDescriptor);\n\t});\n};\n\nfunction TagSubIndexer(indexer,iteratorMethod) {\n\tthis.indexer = indexer;\n\tthis.iteratorMethod = iteratorMethod;\n\tthis.index = null; // Hashmap of tag title to {isSorted: bool, titles: [array]} or null if not yet initialised\n}\n\nTagSubIndexer.prototype.addIndexMethod = function() {\n\tvar self = this;\n\tthis.indexer.wiki[this.iteratorMethod].byTag = function(tag) {\n\t\treturn self.lookup(tag).slice(0);\n\t};\n};\n\nTagSubIndexer.prototype.rebuild = function() {\n\tvar self = this;\n\t// Hashmap by tag of array of {isSorted:, titles:[]}\n\tthis.index = Object.create(null);\n\t// Add all the tags\n\tthis.indexer.wiki[this.iteratorMethod](function(tiddler,title) {\n\t\t$tw.utils.each(tiddler.fields.tags,function(tag) {\n\t\t\tif(!self.index[tag]) {\n\t\t\t\tself.index[tag] = {isSorted: false, titles: [title]};\n\t\t\t} else {\n\t\t\t\tself.index[tag].titles.push(title);\n\t\t\t}\n\t\t});\t\t\n\t});\n};\n\nTagSubIndexer.prototype.update = function(updateDescriptor) {\n\tthis.index = null;\n};\n\nTagSubIndexer.prototype.lookup = function(tag) {\n\t// Update the index if it has yet to be built\n\tif(this.index === null) {\n\t\tthis.rebuild();\n\t}\n\tvar indexRecord = this.index[tag];\n\tif(indexRecord) {\n\t\tif(!indexRecord.isSorted) {\n\t\t\tif(this.indexer.wiki.sortByList) {\n\t\t\t\tindexRecord.titles = this.indexer.wiki.sortByList(indexRecord.titles,tag);\n\t\t\t}\t\t\t\n\t\t\tindexRecord.isSorted = true;\n\t\t}\n\t\treturn indexRecord.titles;\n\t} else {\n\t\treturn [];\n\t}\n};\n\n\nexports.TagIndexer = TagIndexer;\n\n})();\n",
"type": "application/javascript",
"module-type": "indexer"
},
"$:/core/modules/info/platform.js": {
"title": "$:/core/modules/info/platform.js",
"text": "/*\\\ntitle: $:/core/modules/info/platform.js\ntype: application/javascript\nmodule-type: info\n\nInitialise basic platform $:/info/ tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.getInfoTiddlerFields = function() {\n\tvar mapBoolean = function(value) {return value ? \"yes\" : \"no\";},\n\t\tinfoTiddlerFields = [];\n\t// Basics\n\tinfoTiddlerFields.push({title: \"$:/info/browser\", text: mapBoolean(!!$tw.browser)});\n\tinfoTiddlerFields.push({title: \"$:/info/node\", text: mapBoolean(!!$tw.node)});\n\tif($tw.browser) {\n\t\t// Document location\n\t\tvar setLocationProperty = function(name,value) {\n\t\t\t\tinfoTiddlerFields.push({title: \"$:/info/url/\" + name, text: value});\t\t\t\n\t\t\t},\n\t\t\tlocation = document.location;\n\t\tsetLocationProperty(\"full\", (location.toString()).split(\"#\")[0]);\n\t\tsetLocationProperty(\"host\", location.host);\n\t\tsetLocationProperty(\"hostname\", location.hostname);\n\t\tsetLocationProperty(\"protocol\", location.protocol);\n\t\tsetLocationProperty(\"port\", location.port);\n\t\tsetLocationProperty(\"pathname\", location.pathname);\n\t\tsetLocationProperty(\"search\", location.search);\n\t\tsetLocationProperty(\"origin\", location.origin);\n\t\t// Screen size\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/screen/width\", text: window.screen.width.toString()});\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/screen/height\", text: window.screen.height.toString()});\n\t\t// Language\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/language\", text: navigator.language || \"\"});\n\t}\n\treturn infoTiddlerFields;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "info"
},
"$:/core/modules/keyboard.js": {
"title": "$:/core/modules/keyboard.js",
"text": "/*\\\ntitle: $:/core/modules/keyboard.js\ntype: application/javascript\nmodule-type: global\n\nKeyboard handling utilities\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar namedKeys = {\n\t\"cancel\": 3,\n\t\"help\": 6,\n\t\"backspace\": 8,\n\t\"tab\": 9,\n\t\"clear\": 12,\n\t\"return\": 13,\n\t\"enter\": 13,\n\t\"pause\": 19,\n\t\"escape\": 27,\n\t\"space\": 32,\n\t\"page_up\": 33,\n\t\"page_down\": 34,\n\t\"end\": 35,\n\t\"home\": 36,\n\t\"left\": 37,\n\t\"up\": 38,\n\t\"right\": 39,\n\t\"down\": 40,\n\t\"printscreen\": 44,\n\t\"insert\": 45,\n\t\"delete\": 46,\n\t\"0\": 48,\n\t\"1\": 49,\n\t\"2\": 50,\n\t\"3\": 51,\n\t\"4\": 52,\n\t\"5\": 53,\n\t\"6\": 54,\n\t\"7\": 55,\n\t\"8\": 56,\n\t\"9\": 57,\n\t\"firefoxsemicolon\": 59,\n\t\"firefoxequals\": 61,\n\t\"a\": 65,\n\t\"b\": 66,\n\t\"c\": 67,\n\t\"d\": 68,\n\t\"e\": 69,\n\t\"f\": 70,\n\t\"g\": 71,\n\t\"h\": 72,\n\t\"i\": 73,\n\t\"j\": 74,\n\t\"k\": 75,\n\t\"l\": 76,\n\t\"m\": 77,\n\t\"n\": 78,\n\t\"o\": 79,\n\t\"p\": 80,\n\t\"q\": 81,\n\t\"r\": 82,\n\t\"s\": 83,\n\t\"t\": 84,\n\t\"u\": 85,\n\t\"v\": 86,\n\t\"w\": 87,\n\t\"x\": 88,\n\t\"y\": 89,\n\t\"z\": 90,\n\t\"numpad0\": 96,\n\t\"numpad1\": 97,\n\t\"numpad2\": 98,\n\t\"numpad3\": 99,\n\t\"numpad4\": 100,\n\t\"numpad5\": 101,\n\t\"numpad6\": 102,\n\t\"numpad7\": 103,\n\t\"numpad8\": 104,\n\t\"numpad9\": 105,\n\t\"multiply\": 106,\n\t\"add\": 107,\n\t\"separator\": 108,\n\t\"subtract\": 109,\n\t\"decimal\": 110,\n\t\"divide\": 111,\n\t\"f1\": 112,\n\t\"f2\": 113,\n\t\"f3\": 114,\n\t\"f4\": 115,\n\t\"f5\": 116,\n\t\"f6\": 117,\n\t\"f7\": 118,\n\t\"f8\": 119,\n\t\"f9\": 120,\n\t\"f10\": 121,\n\t\"f11\": 122,\n\t\"f12\": 123,\n\t\"f13\": 124,\n\t\"f14\": 125,\n\t\"f15\": 126,\n\t\"f16\": 127,\n\t\"f17\": 128,\n\t\"f18\": 129,\n\t\"f19\": 130,\n\t\"f20\": 131,\n\t\"f21\": 132,\n\t\"f22\": 133,\n\t\"f23\": 134,\n\t\"f24\": 135,\n\t\"firefoxminus\": 173,\n\t\"semicolon\": 186,\n\t\"equals\": 187,\n\t\"comma\": 188,\n\t\"dash\": 189,\n\t\"period\": 190,\n\t\"slash\": 191,\n\t\"backquote\": 192,\n\t\"openbracket\": 219,\n\t\"backslash\": 220,\n\t\"closebracket\": 221,\n\t\"quote\": 222\n};\n\nfunction KeyboardManager(options) {\n\tvar self = this;\n\toptions = options || \"\";\n\t// Save the named key hashmap\n\tthis.namedKeys = namedKeys;\n\t// Create a reverse mapping of code to keyname\n\tthis.keyNames = [];\n\t$tw.utils.each(namedKeys,function(keyCode,name) {\n\t\tself.keyNames[keyCode] = name.substr(0,1).toUpperCase() + name.substr(1);\n\t});\n\t// Save the platform-specific name of the \"meta\" key\n\tthis.metaKeyName = $tw.platform.isMac ? \"cmd-\" : \"win-\";\n\tthis.shortcutKeysList = [], // Stores the shortcut-key descriptors\n\tthis.shortcutActionList = [], // Stores the corresponding action strings\n\tthis.shortcutParsedList = []; // Stores the parsed key descriptors\n\tthis.lookupNames = [\"shortcuts\"];\n\tthis.lookupNames.push($tw.platform.isMac ? \"shortcuts-mac\" : \"shortcuts-not-mac\")\n\tthis.lookupNames.push($tw.platform.isWindows ? \"shortcuts-windows\" : \"shortcuts-not-windows\");\n\tthis.lookupNames.push($tw.platform.isLinux ? \"shortcuts-linux\" : \"shortcuts-not-linux\");\n\tthis.updateShortcutLists(this.getShortcutTiddlerList());\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tself.handleShortcutChanges(changes);\n\t});\n}\n\n/*\nReturn an array of keycodes for the modifier keys ctrl, shift, alt, meta\n*/\nKeyboardManager.prototype.getModifierKeys = function() {\n\treturn [\n\t\t16, // Shift\n\t\t17, // Ctrl\n\t\t18, // Alt\n\t\t20, // CAPS LOCK\n\t\t91, // Meta (left)\n\t\t93, // Meta (right)\n\t\t224 // Meta (Firefox)\n\t]\n};\n\n/*\nParses a key descriptor into the structure:\n{\n\tkeyCode: numeric keycode\n\tshiftKey: boolean\n\taltKey: boolean\n\tctrlKey: boolean\n\tmetaKey: boolean\n}\nKey descriptors have the following format:\n\tctrl+enter\n\tctrl+shift+alt+A\n*/\nKeyboardManager.prototype.parseKeyDescriptor = function(keyDescriptor) {\n\tvar components = keyDescriptor.split(/\\+|\\-/),\n\t\tinfo = {\n\t\t\tkeyCode: 0,\n\t\t\tshiftKey: false,\n\t\t\taltKey: false,\n\t\t\tctrlKey: false,\n\t\t\tmetaKey: false\n\t\t};\n\tfor(var t=0; t<components.length; t++) {\n\t\tvar s = components[t].toLowerCase(),\n\t\t\tc = s.charCodeAt(0);\n\t\t// Look for modifier keys\n\t\tif(s === \"ctrl\") {\n\t\t\tinfo.ctrlKey = true;\n\t\t} else if(s === \"shift\") {\n\t\t\tinfo.shiftKey = true;\n\t\t} else if(s === \"alt\") {\n\t\t\tinfo.altKey = true;\n\t\t} else if(s === \"meta\" || s === \"cmd\" || s === \"win\") {\n\t\t\tinfo.metaKey = true;\n\t\t}\n\t\t// Replace named keys with their code\n\t\tif(this.namedKeys[s]) {\n\t\t\tinfo.keyCode = this.namedKeys[s];\n\t\t}\n\t}\n\tif(info.keyCode) {\n\t\treturn info;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nParse a list of key descriptors into an array of keyInfo objects. The key descriptors can be passed as an array of strings or a space separated string\n*/\nKeyboardManager.prototype.parseKeyDescriptors = function(keyDescriptors,options) {\n\tvar self = this;\n\toptions = options || {};\n\toptions.stack = options.stack || [];\n\tvar wiki = options.wiki || $tw.wiki;\n\tif(typeof keyDescriptors === \"string\" && keyDescriptors === \"\") {\n\t\treturn [];\n\t}\n\tif(!$tw.utils.isArray(keyDescriptors)) {\n\t\tkeyDescriptors = keyDescriptors.split(\" \");\n\t}\n\tvar result = [];\n\t$tw.utils.each(keyDescriptors,function(keyDescriptor) {\n\t\t// Look for a named shortcut\n\t\tif(keyDescriptor.substr(0,2) === \"((\" && keyDescriptor.substr(-2,2) === \"))\") {\n\t\t\tif(options.stack.indexOf(keyDescriptor) === -1) {\n\t\t\t\toptions.stack.push(keyDescriptor);\n\t\t\t\tvar name = keyDescriptor.substring(2,keyDescriptor.length - 2),\n\t\t\t\t\tlookupName = function(configName) {\n\t\t\t\t\t\tvar keyDescriptors = wiki.getTiddlerText(\"$:/config/\" + configName + \"/\" + name);\n\t\t\t\t\t\tif(keyDescriptors) {\n\t\t\t\t\t\t\tresult.push.apply(result,self.parseKeyDescriptors(keyDescriptors,options));\n\t\t\t\t\t\t}\n\t\t\t\t\t};\n\t\t\t\t$tw.utils.each(self.lookupNames,function(platformDescriptor) {\n\t\t\t\t\tlookupName(platformDescriptor);\n\t\t\t\t});\n\t\t\t}\n\t\t} else {\n\t\t\tresult.push(self.parseKeyDescriptor(keyDescriptor));\n\t\t}\n\t});\n\treturn result;\n};\n\nKeyboardManager.prototype.getPrintableShortcuts = function(keyInfoArray) {\n\tvar self = this,\n\t\tresult = [];\n\t$tw.utils.each(keyInfoArray,function(keyInfo) {\n\t\tif(keyInfo) {\n\t\t\tresult.push((keyInfo.ctrlKey ? \"ctrl-\" : \"\") + \n\t\t\t\t (keyInfo.shiftKey ? \"shift-\" : \"\") + \n\t\t\t\t (keyInfo.altKey ? \"alt-\" : \"\") + \n\t\t\t\t (keyInfo.metaKey ? self.metaKeyName : \"\") + \n\t\t\t\t (self.keyNames[keyInfo.keyCode]));\n\t\t}\n\t});\n\treturn result;\n}\n\nKeyboardManager.prototype.checkKeyDescriptor = function(event,keyInfo) {\n\treturn keyInfo &&\n\t\t\tevent.keyCode === keyInfo.keyCode && \n\t\t\tevent.shiftKey === keyInfo.shiftKey && \n\t\t\tevent.altKey === keyInfo.altKey && \n\t\t\tevent.ctrlKey === keyInfo.ctrlKey && \n\t\t\tevent.metaKey === keyInfo.metaKey;\n};\n\nKeyboardManager.prototype.checkKeyDescriptors = function(event,keyInfoArray) {\n\tfor(var t=0; t<keyInfoArray.length; t++) {\n\t\tif(this.checkKeyDescriptor(event,keyInfoArray[t])) {\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\nKeyboardManager.prototype.getShortcutTiddlerList = function() {\n\treturn $tw.wiki.getTiddlersWithTag(\"$:/tags/KeyboardShortcut\");\n};\n\nKeyboardManager.prototype.updateShortcutLists = function(tiddlerList) {\n\tthis.shortcutTiddlers = tiddlerList;\n\tfor(var i=0; i<tiddlerList.length; i++) {\n\t\tvar title = tiddlerList[i],\n\t\t\ttiddlerFields = $tw.wiki.getTiddler(title).fields;\n\t\tthis.shortcutKeysList[i] = tiddlerFields.key !== undefined ? tiddlerFields.key : undefined;\n\t\tthis.shortcutActionList[i] = tiddlerFields.text;\n\t\tthis.shortcutParsedList[i] = this.shortcutKeysList[i] !== undefined ? this.parseKeyDescriptors(this.shortcutKeysList[i]) : undefined;\n\t}\n};\n\nKeyboardManager.prototype.handleKeydownEvent = function(event) {\n\tvar key, action;\n\tfor(var i=0; i<this.shortcutTiddlers.length; i++) {\n\t\tif(this.shortcutParsedList[i] !== undefined && this.checkKeyDescriptors(event,this.shortcutParsedList[i])) {\n\t\t\tkey = this.shortcutParsedList[i];\n\t\t\taction = this.shortcutActionList[i];\n\t\t}\n\t}\n\tif(key !== undefined) {\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\t$tw.rootWidget.invokeActionString(action,$tw.rootWidget);\n\t\treturn true;\n\t}\n\treturn false;\n};\n\nKeyboardManager.prototype.detectNewShortcuts = function(changedTiddlers) {\n\tvar shortcutConfigTiddlers = [],\n\t\thandled = false;\n\t$tw.utils.each(this.lookupNames,function(platformDescriptor) {\n\t\tvar descriptorString = \"$:/config/\" + platformDescriptor + \"/\";\n\t\tObject.keys(changedTiddlers).forEach(function(configTiddler) {\n\t\t\tvar configString = configTiddler.substr(0, configTiddler.lastIndexOf(\"/\") + 1);\n\t\t\tif(configString === descriptorString) {\n\t\t\t\tshortcutConfigTiddlers.push(configTiddler);\n\t\t\t\thandled = true;\n\t\t\t}\n\t\t});\n\t});\n\tif(handled) {\n\t\treturn $tw.utils.hopArray(changedTiddlers,shortcutConfigTiddlers);\n\t} else {\n\t\treturn false;\n\t}\n};\n\nKeyboardManager.prototype.handleShortcutChanges = function(changedTiddlers) {\n\tvar newList = this.getShortcutTiddlerList();\n\tvar hasChanged = $tw.utils.hopArray(changedTiddlers,this.shortcutTiddlers) ? true :\n\t\t($tw.utils.hopArray(changedTiddlers,newList) ? true :\n\t\t(this.detectNewShortcuts(changedTiddlers))\n\t);\n\t// Re-cache shortcuts if something changed\n\tif(hasChanged) {\n\t\tthis.updateShortcutLists(newList);\n\t}\n};\n\nexports.KeyboardManager = KeyboardManager;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/language.js": {
"title": "$:/core/modules/language.js",
"text": "/*\\\ntitle: $:/core/modules/language.js\ntype: application/javascript\nmodule-type: global\n\nThe $tw.Language() manages translateable strings\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreate an instance of the language manager. Options include:\nwiki: wiki from which to retrieve translation tiddlers\n*/\nfunction Language(options) {\n\toptions = options || \"\";\n\tthis.wiki = options.wiki || $tw.wiki;\n}\n\n/*\nReturn a wikified translateable string. The title is automatically prefixed with \"$:/language/\"\nOptions include:\nvariables: optional hashmap of variables to supply to the language wikification\n*/\nLanguage.prototype.getString = function(title,options) {\n\toptions = options || {};\n\ttitle = \"$:/language/\" + title;\n\treturn this.wiki.renderTiddler(\"text/plain\",title,{variables: options.variables});\n};\n\n/*\nReturn a raw, unwikified translateable string. The title is automatically prefixed with \"$:/language/\"\n*/\nLanguage.prototype.getRawString = function(title) {\n\ttitle = \"$:/language/\" + title;\n\treturn this.wiki.getTiddlerText(title);\n};\n\nexports.Language = Language;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/macros/changecount.js": {
"title": "$:/core/modules/macros/changecount.js",
"text": "/*\\\ntitle: $:/core/modules/macros/changecount.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return the changecount for the current tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"changecount\";\n\nexports.params = [];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\treturn this.wiki.getChangeCount(this.getVariable(\"currentTiddler\")) + \"\";\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/contrastcolour.js": {
"title": "$:/core/modules/macros/contrastcolour.js",
"text": "/*\\\ntitle: $:/core/modules/macros/contrastcolour.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to choose which of two colours has the highest contrast with a base colour\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"contrastcolour\";\n\nexports.params = [\n\t{name: \"target\"},\n\t{name: \"fallbackTarget\"},\n\t{name: \"colourA\"},\n\t{name: \"colourB\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(target,fallbackTarget,colourA,colourB) {\n\tvar rgbTarget = $tw.utils.parseCSSColor(target) || $tw.utils.parseCSSColor(fallbackTarget);\n\tif(!rgbTarget) {\n\t\treturn colourA;\n\t}\n\tvar rgbColourA = $tw.utils.parseCSSColor(colourA),\n\t\trgbColourB = $tw.utils.parseCSSColor(colourB);\n\tif(rgbColourA && !rgbColourB) {\n\t\treturn rgbColourA;\n\t}\n\tif(rgbColourB && !rgbColourA) {\n\t\treturn rgbColourB;\n\t}\n\tif(!rgbColourA && !rgbColourB) {\n\t\t// If neither colour is readable, return a crude inverse of the target\n\t\treturn [255 - rgbTarget[0],255 - rgbTarget[1],255 - rgbTarget[2],rgbTarget[3]];\n\t}\n\t// Colour brightness formula derived from http://www.w3.org/WAI/ER/WD-AERT/#color-contrast\n\tvar brightnessTarget = rgbTarget[0] * 0.299 + rgbTarget[1] * 0.587 + rgbTarget[2] * 0.114,\n\t\tbrightnessA = rgbColourA[0] * 0.299 + rgbColourA[1] * 0.587 + rgbColourA[2] * 0.114,\n\t\tbrightnessB = rgbColourB[0] * 0.299 + rgbColourB[1] * 0.587 + rgbColourB[2] * 0.114;\n\treturn Math.abs(brightnessTarget - brightnessA) > Math.abs(brightnessTarget - brightnessB) ? colourA : colourB;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/csvtiddlers.js": {
"title": "$:/core/modules/macros/csvtiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/macros/csvtiddlers.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output tiddlers matching a filter to CSV\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"csvtiddlers\";\n\nexports.params = [\n\t{name: \"filter\"},\n\t{name: \"format\"},\n];\n\n/*\nRun the macro\n*/\nexports.run = function(filter,format) {\n\tvar self = this,\n\t\ttiddlers = this.wiki.filterTiddlers(filter),\n\t\ttiddler,\n\t\tfields = [],\n\t\tt,f;\n\t// Collect all the fields\n\tfor(t=0;t<tiddlers.length; t++) {\n\t\ttiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\tfor(f in tiddler.fields) {\n\t\t\tif(fields.indexOf(f) === -1) {\n\t\t\t\tfields.push(f);\n\t\t\t}\n\t\t}\n\t}\n\t// Sort the fields and bring the standard ones to the front\n\tfields.sort();\n\t\"title text modified modifier created creator\".split(\" \").reverse().forEach(function(value,index) {\n\t\tvar p = fields.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tfields.splice(p,1);\n\t\t\tfields.unshift(value)\n\t\t}\n\t});\n\t// Output the column headings\n\tvar output = [], row = [];\n\tfields.forEach(function(value) {\n\t\trow.push(quoteAndEscape(value))\n\t});\n\toutput.push(row.join(\",\"));\n\t// Output each tiddler\n\tfor(var t=0;t<tiddlers.length; t++) {\n\t\trow = [];\n\t\ttiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\t\tfor(f=0; f<fields.length; f++) {\n\t\t\t\trow.push(quoteAndEscape(tiddler ? tiddler.getFieldString(fields[f]) || \"\" : \"\"));\n\t\t\t}\n\t\toutput.push(row.join(\",\"));\n\t}\n\treturn output.join(\"\\n\");\n};\n\nfunction quoteAndEscape(value) {\n\treturn \"\\\"\" + value.replace(/\"/mg,\"\\\"\\\"\") + \"\\\"\";\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/displayshortcuts.js": {
"title": "$:/core/modules/macros/displayshortcuts.js",
"text": "/*\\\ntitle: $:/core/modules/macros/displayshortcuts.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to display a list of keyboard shortcuts in human readable form. Notably, it resolves named shortcuts like `((bold))` to the underlying keystrokes.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"displayshortcuts\";\n\nexports.params = [\n\t{name: \"shortcuts\"},\n\t{name: \"prefix\"},\n\t{name: \"separator\"},\n\t{name: \"suffix\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(shortcuts,prefix,separator,suffix) {\n\tvar shortcutArray = $tw.keyboardManager.getPrintableShortcuts($tw.keyboardManager.parseKeyDescriptors(shortcuts,{\n\t\twiki: this.wiki\n\t}));\n\tif(shortcutArray.length > 0) {\n\t\tshortcutArray.sort(function(a,b) {\n\t\t return a.toLowerCase().localeCompare(b.toLowerCase());\n\t\t})\n\t\treturn prefix + shortcutArray.join(separator) + suffix;\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/jsontiddler.js": {
"title": "$:/core/modules/macros/jsontiddler.js",
"text": "/*\\\ntitle: $:/core/modules/macros/jsontiddler.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output a single tiddler to JSON\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"jsontiddler\";\n\nexports.params = [\n\t{name: \"title\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(title) {\n\ttitle = title || this.getVariable(\"currentTiddler\");\n\tvar tiddler = !!title && this.wiki.getTiddler(title),\n\t\tfields = new Object();\n\tif(tiddler) {\n\t\tfor(var field in tiddler.fields) {\n\t\t\tfields[field] = tiddler.getFieldString(field);\n\t\t}\n\t}\n\treturn JSON.stringify(fields,null,$tw.config.preferences.jsonSpaces);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/jsontiddlers.js": {
"title": "$:/core/modules/macros/jsontiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/macros/jsontiddlers.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output tiddlers matching a filter to JSON\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"jsontiddlers\";\n\nexports.params = [\n\t{name: \"filter\"},\n\t{name: \"spaces\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(filter,spaces) {\n\treturn this.wiki.getTiddlersAsJson(filter,$tw.utils.parseInt(spaces));\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/makedatauri.js": {
"title": "$:/core/modules/macros/makedatauri.js",
"text": "/*\\\ntitle: $:/core/modules/macros/makedatauri.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to convert a string of text to a data URI\n\n<<makedatauri text:\"Text to be converted\" type:\"text/vnd.tiddlywiki\">>\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"makedatauri\";\n\nexports.params = [\n\t{name: \"text\"},\n\t{name: \"type\"},\n\t{name: \"_canonical_uri\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(text,type,_canonical_uri) {\n\treturn $tw.utils.makeDataUri(text,type,_canonical_uri);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/now.js": {
"title": "$:/core/modules/macros/now.js",
"text": "/*\\\ntitle: $:/core/modules/macros/now.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return a formatted version of the current time\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"now\";\n\nexports.params = [\n\t{name: \"format\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(format) {\n\treturn $tw.utils.formatDateString(new Date(),format || \"0hh:0mm, DDth MMM YYYY\");\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/qualify.js": {
"title": "$:/core/modules/macros/qualify.js",
"text": "/*\\\ntitle: $:/core/modules/macros/qualify.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to qualify a state tiddler title according\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"qualify\";\n\nexports.params = [\n\t{name: \"title\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(title) {\n\treturn title + \"-\" + this.getStateQualifier();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/resolvepath.js": {
"title": "$:/core/modules/macros/resolvepath.js",
"text": "/*\\\ntitle: $:/core/modules/macros/resolvepath.js\ntype: application/javascript\nmodule-type: macro\n\nResolves a relative path for an absolute rootpath.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"resolvepath\";\n\nexports.params = [\n\t{name: \"source\"},\n\t{name: \"root\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(source, root) {\n\treturn $tw.utils.resolvePath(source, root);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/unusedtitle.js": {
"title": "$:/core/modules/macros/unusedtitle.js",
"text": "/*\\\ntitle: $:/core/modules/macros/unusedtitle.js\ntype: application/javascript\nmodule-type: macro\nMacro to return a new title that is unused in the wiki. It can be given a name as a base.\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"unusedtitle\";\n\nexports.params = [\n\t{name: \"baseName\"},\n\t{name: \"options\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(baseName, options) {\n\tif(!baseName) {\n\t\tbaseName = $tw.language.getString(\"DefaultNewTiddlerTitle\");\n\t}\n\treturn this.wiki.generateNewTitle(baseName, options);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/version.js": {
"title": "$:/core/modules/macros/version.js",
"text": "/*\\\ntitle: $:/core/modules/macros/version.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return the TiddlyWiki core version number\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"version\";\n\nexports.params = [];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\treturn $tw.version;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/parsers/audioparser.js": {
"title": "$:/core/modules/parsers/audioparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/audioparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe audio parser parses an audio tiddler into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar AudioParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"audio\",\n\t\t\tattributes: {\n\t\t\t\tcontrols: {type: \"string\", value: \"controls\"},\n\t\t\t\tstyle: {type: \"string\", value: \"width: 100%; object-fit: contain\"}\n\t\t\t}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"audio/ogg\"] = AudioParser;\nexports[\"audio/mpeg\"] = AudioParser;\nexports[\"audio/mp3\"] = AudioParser;\nexports[\"audio/mp4\"] = AudioParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/binaryparser.js": {
"title": "$:/core/modules/parsers/binaryparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/binaryparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe binary parser parses a binary tiddler into a warning message and download link\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar BINARY_WARNING_MESSAGE = \"$:/core/ui/BinaryWarning\";\nvar EXPORT_BUTTON_IMAGE = \"$:/core/images/export-button\";\n\nvar BinaryParser = function(type,text,options) {\n\t// Transclude the binary data tiddler warning message\n\tvar warn = {\n\t\ttype: \"element\",\n\t\ttag: \"p\",\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: BINARY_WARNING_MESSAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Create download link based on binary tiddler title\n\tvar link = {\n\t\ttype: \"element\",\n\t\ttag: \"a\",\n\t\tattributes: {\n\t\t\ttitle: {type: \"indirect\", textReference: \"!!title\"},\n\t\t\tdownload: {type: \"indirect\", textReference: \"!!title\"}\n\t\t},\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: EXPORT_BUTTON_IMAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Set the link href to external or internal data URI\n\tif(options._canonical_uri) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: options._canonical_uri\n\t\t};\n\t} else if(text) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: \"data:\" + type + \";base64,\" + text\n\t\t};\n\t}\n\t// Combine warning message and download link in a div\n\tvar element = {\n\t\ttype: \"element\",\n\t\ttag: \"div\",\n\t\tattributes: {\n\t\t\tclass: {type: \"string\", value: \"tc-binary-warning\"}\n\t\t},\n\t\tchildren: [warn, link]\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"application/octet-stream\"] = BinaryParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/csvparser.js": {
"title": "$:/core/modules/parsers/csvparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/csvparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe CSV text parser processes CSV files into a table wrapped in a scrollable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar CsvParser = function(type,text,options) {\n\t// Table framework\n\tthis.tree = [{\n\t\t\"type\": \"scrollable\", \"children\": [{\n\t\t\t\"type\": \"element\", \"tag\": \"table\", \"children\": [{\n\t\t\t\t\"type\": \"element\", \"tag\": \"tbody\", \"children\": []\n\t\t\t}], \"attributes\": {\n\t\t\t\t\"class\": {\"type\": \"string\", \"value\": \"tc-csv-table\"}\n\t\t\t}\n\t\t}]\n\t}];\n\t// Split the text into lines\n\tvar lines = text.split(/\\r?\\n/mg),\n\t\ttag = \"th\";\n\tfor(var line=0; line<lines.length; line++) {\n\t\tvar lineText = lines[line];\n\t\tif(lineText) {\n\t\t\tvar row = {\n\t\t\t\t\t\"type\": \"element\", \"tag\": \"tr\", \"children\": []\n\t\t\t\t};\n\t\t\tvar columns = lineText.split(\",\");\n\t\t\tfor(var column=0; column<columns.length; column++) {\n\t\t\t\trow.children.push({\n\t\t\t\t\t\t\"type\": \"element\", \"tag\": tag, \"children\": [{\n\t\t\t\t\t\t\t\"type\": \"text\",\n\t\t\t\t\t\t\t\"text\": columns[column]\n\t\t\t\t\t\t}]\n\t\t\t\t\t});\n\t\t\t}\n\t\t\ttag = \"td\";\n\t\t\tthis.tree[0].children[0].children[0].children.push(row);\n\t\t}\n\t}\n};\n\nexports[\"text/csv\"] = CsvParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/htmlparser.js": {
"title": "$:/core/modules/parsers/htmlparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/htmlparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe HTML parser displays text as raw HTML\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HtmlParser = function(type,text,options) {\n\tvar src;\n\tif(options._canonical_uri) {\n\t\tsrc = options._canonical_uri;\n\t} else if(text) {\n\t\tsrc = \"data:text/html;charset=utf-8,\" + encodeURIComponent(text);\n\t}\n\tthis.tree = [{\n\t\ttype: \"element\",\n\t\ttag: \"iframe\",\n\t\tattributes: {\n\t\t\tsrc: {type: \"string\", value: src},\n\t\t\tsandbox: {type: \"string\", value: \"\"}\n\t\t}\n\t}];\n};\n\nexports[\"text/html\"] = HtmlParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/imageparser.js": {
"title": "$:/core/modules/parsers/imageparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/imageparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe image parser parses an image into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ImageParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"img\",\n\t\t\tattributes: {}\n\t\t};\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\tif(type === \"image/svg+xml\" || type === \".svg\") {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:image/svg+xml,\" + encodeURIComponent(text)};\n\t\t} else {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t\t}\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"image/svg+xml\"] = ImageParser;\nexports[\"image/jpg\"] = ImageParser;\nexports[\"image/jpeg\"] = ImageParser;\nexports[\"image/png\"] = ImageParser;\nexports[\"image/gif\"] = ImageParser;\nexports[\"image/webp\"] = ImageParser;\nexports[\"image/heic\"] = ImageParser;\nexports[\"image/heif\"] = ImageParser;\nexports[\"image/x-icon\"] = ImageParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/utils/parseutils.js": {
"title": "$:/core/modules/utils/parseutils.js",
"text": "/*\\\ntitle: $:/core/modules/utils/parseutils.js\ntype: application/javascript\nmodule-type: utils\n\nUtility functions concerned with parsing text into tokens.\n\nMost functions have the following pattern:\n\n* The parameters are:\n** `source`: the source string being parsed\n** `pos`: the current parse position within the string\n** Any further parameters are used to identify the token that is being parsed\n* The return value is:\n** null if the token was not found at the specified position\n** an object representing the token with the following standard fields:\n*** `type`: string indicating the type of the token\n*** `start`: start position of the token in the source string\n*** `end`: end position of the token in the source string\n*** Any further fields required to describe the token\n\nThe exception is `skipWhiteSpace`, which just returns the position after the whitespace.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nLook for a whitespace token. Returns null if not found, otherwise returns {type: \"whitespace\", start:, end:,}\n*/\nexports.parseWhiteSpace = function(source,pos) {\n\tvar p = pos,c;\n\twhile(true) {\n\t\tc = source.charAt(p);\n\t\tif((c === \" \") || (c === \"\\f\") || (c === \"\\n\") || (c === \"\\r\") || (c === \"\\t\") || (c === \"\\v\") || (c === \"\\u00a0\")) { // Ignores some obscure unicode spaces\n\t\t\tp++;\n\t\t} else {\n\t\t\tbreak;\n\t\t}\n\t}\n\tif(p === pos) {\n\t\treturn null;\n\t} else {\n\t\treturn {\n\t\t\ttype: \"whitespace\",\n\t\t\tstart: pos,\n\t\t\tend: p\n\t\t}\n\t}\n};\n\n/*\nConvenience wrapper for parseWhiteSpace. Returns the position after the whitespace\n*/\nexports.skipWhiteSpace = function(source,pos) {\n\tvar c;\n\twhile(true) {\n\t\tc = source.charAt(pos);\n\t\tif((c === \" \") || (c === \"\\f\") || (c === \"\\n\") || (c === \"\\r\") || (c === \"\\t\") || (c === \"\\v\") || (c === \"\\u00a0\")) { // Ignores some obscure unicode spaces\n\t\t\tpos++;\n\t\t} else {\n\t\t\treturn pos;\n\t\t}\n\t}\n};\n\n/*\nLook for a given string token. Returns null if not found, otherwise returns {type: \"token\", value:, start:, end:,}\n*/\nexports.parseTokenString = function(source,pos,token) {\n\tvar match = source.indexOf(token,pos) === pos;\n\tif(match) {\n\t\treturn {\n\t\t\ttype: \"token\",\n\t\t\tvalue: token,\n\t\t\tstart: pos,\n\t\t\tend: pos + token.length\n\t\t};\n\t}\n\treturn null;\n};\n\n/*\nLook for a token matching a regex. Returns null if not found, otherwise returns {type: \"regexp\", match:, start:, end:,}\n*/\nexports.parseTokenRegExp = function(source,pos,reToken) {\n\tvar node = {\n\t\ttype: \"regexp\",\n\t\tstart: pos\n\t};\n\treToken.lastIndex = pos;\n\tnode.match = reToken.exec(source);\n\tif(node.match && node.match.index === pos) {\n\t\tnode.end = pos + node.match[0].length;\n\t\treturn node;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLook for a string literal. Returns null if not found, otherwise returns {type: \"string\", value:, start:, end:,}\n*/\nexports.parseStringLiteral = function(source,pos) {\n\tvar node = {\n\t\ttype: \"string\",\n\t\tstart: pos\n\t};\n\tvar reString = /(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\")|(?:'([^']*)')/g;\n\treString.lastIndex = pos;\n\tvar match = reString.exec(source);\n\tif(match && match.index === pos) {\n\t\tnode.value = match[1] !== undefined ? match[1] :(\n\t\t\tmatch[2] !== undefined ? match[2] : match[3] \n\t\t\t\t\t);\n\t\tnode.end = pos + match[0].length;\n\t\treturn node;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLook for a macro invocation parameter. Returns null if not found, or {type: \"macro-parameter\", name:, value:, start:, end:}\n*/\nexports.parseMacroParameter = function(source,pos) {\n\tvar node = {\n\t\ttype: \"macro-parameter\",\n\t\tstart: pos\n\t};\n\t// Define our regexp\n\tvar reMacroParameter = /(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\\s>\"'=]+)))/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the parameter\n\tvar token = $tw.utils.parseTokenRegExp(source,pos,reMacroParameter);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the parameter details\n\tnode.value = token.match[2] !== undefined ? token.match[2] : (\n\t\t\t\t\ttoken.match[3] !== undefined ? token.match[3] : (\n\t\t\t\t\t\ttoken.match[4] !== undefined ? token.match[4] : (\n\t\t\t\t\t\t\ttoken.match[5] !== undefined ? token.match[5] : (\n\t\t\t\t\t\t\t\ttoken.match[6] !== undefined ? token.match[6] : (\n\t\t\t\t\t\t\t\t\t\"\"\n\t\t\t\t\t\t\t\t)\n\t\t\t\t\t\t\t)\n\t\t\t\t\t\t)\n\t\t\t\t\t)\n\t\t\t\t);\n\tif(token.match[1]) {\n\t\tnode.name = token.match[1];\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n/*\nLook for a macro invocation. Returns null if not found, or {type: \"macrocall\", name:, parameters:, start:, end:}\n*/\nexports.parseMacroInvocation = function(source,pos) {\n\tvar node = {\n\t\ttype: \"macrocall\",\n\t\tstart: pos,\n\t\tparams: []\n\t};\n\t// Define our regexps\n\tvar reMacroName = /([^\\s>\"'=]+)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a double less than sign\n\tvar token = $tw.utils.parseTokenString(source,pos,\"<<\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the macro name\n\tvar name = $tw.utils.parseTokenRegExp(source,pos,reMacroName);\n\tif(!name) {\n\t\treturn null;\n\t}\n\tnode.name = name.match[1];\n\tpos = name.end;\n\t// Process parameters\n\tvar parameter = $tw.utils.parseMacroParameter(source,pos);\n\twhile(parameter) {\n\t\tnode.params.push(parameter);\n\t\tpos = parameter.end;\n\t\t// Get the next parameter\n\t\tparameter = $tw.utils.parseMacroParameter(source,pos);\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a double greater than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\">>\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n/*\nLook for an HTML attribute definition. Returns null if not found, otherwise returns {type: \"attribute\", name:, valueType: \"string|indirect|macro\", value:, start:, end:,}\n*/\nexports.parseAttribute = function(source,pos) {\n\tvar node = {\n\t\tstart: pos\n\t};\n\t// Define our regexps\n\tvar reAttributeName = /([^\\/\\s>\"'=]+)/g,\n\t\treUnquotedAttribute = /([^\\/\\s<>\"'=]+)/g,\n\t\treFilteredValue = /\\{\\{\\{(.+?)\\}\\}\\}/g,\n\t\treIndirectValue = /\\{\\{([^\\}]+)\\}\\}/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Get the attribute name\n\tvar name = $tw.utils.parseTokenRegExp(source,pos,reAttributeName);\n\tif(!name) {\n\t\treturn null;\n\t}\n\tnode.name = name.match[1];\n\tpos = name.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for an equals sign\n\tvar token = $tw.utils.parseTokenString(source,pos,\"=\");\n\tif(token) {\n\t\tpos = token.end;\n\t\t// Skip whitespace\n\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t// Look for a string literal\n\t\tvar stringLiteral = $tw.utils.parseStringLiteral(source,pos);\n\t\tif(stringLiteral) {\n\t\t\tpos = stringLiteral.end;\n\t\t\tnode.type = \"string\";\n\t\t\tnode.value = stringLiteral.value;\n\t\t} else {\n\t\t\t// Look for a filtered value\n\t\t\tvar filteredValue = $tw.utils.parseTokenRegExp(source,pos,reFilteredValue);\n\t\t\tif(filteredValue) {\n\t\t\t\tpos = filteredValue.end;\n\t\t\t\tnode.type = \"filtered\";\n\t\t\t\tnode.filter = filteredValue.match[1];\n\t\t\t} else {\n\t\t\t\t// Look for an indirect value\n\t\t\t\tvar indirectValue = $tw.utils.parseTokenRegExp(source,pos,reIndirectValue);\n\t\t\t\tif(indirectValue) {\n\t\t\t\t\tpos = indirectValue.end;\n\t\t\t\t\tnode.type = \"indirect\";\n\t\t\t\t\tnode.textReference = indirectValue.match[1];\n\t\t\t\t} else {\n\t\t\t\t\t// Look for a unquoted value\n\t\t\t\t\tvar unquotedValue = $tw.utils.parseTokenRegExp(source,pos,reUnquotedAttribute);\n\t\t\t\t\tif(unquotedValue) {\n\t\t\t\t\t\tpos = unquotedValue.end;\n\t\t\t\t\t\tnode.type = \"string\";\n\t\t\t\t\t\tnode.value = unquotedValue.match[1];\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// Look for a macro invocation value\n\t\t\t\t\t\tvar macroInvocation = $tw.utils.parseMacroInvocation(source,pos);\n\t\t\t\t\t\tif(macroInvocation) {\n\t\t\t\t\t\t\tpos = macroInvocation.end;\n\t\t\t\t\t\t\tnode.type = \"macro\";\n\t\t\t\t\t\t\tnode.value = macroInvocation;\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tnode.type = \"string\";\n\t\t\t\t\t\t\tnode.value = \"true\";\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t} else {\n\t\tnode.type = \"string\";\n\t\tnode.value = \"true\";\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/parsers/pdfparser.js": {
"title": "$:/core/modules/parsers/pdfparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/pdfparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe PDF parser embeds a PDF viewer\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ImageParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"embed\",\n\t\t\tattributes: {}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:application/pdf;base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"application/pdf\"] = ImageParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/textparser.js": {
"title": "$:/core/modules/parsers/textparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/textparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe plain text parser processes blocks of source text into a degenerate parse tree consisting of a single text node\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar TextParser = function(type,text,options) {\n\tthis.tree = [{\n\t\ttype: \"codeblock\",\n\t\tattributes: {\n\t\t\tcode: {type: \"string\", value: text},\n\t\t\tlanguage: {type: \"string\", value: type}\n\t\t}\n\t}];\n};\n\nexports[\"text/plain\"] = TextParser;\nexports[\"text/x-tiddlywiki\"] = TextParser;\nexports[\"application/javascript\"] = TextParser;\nexports[\"application/json\"] = TextParser;\nexports[\"text/css\"] = TextParser;\nexports[\"application/x-tiddler-dictionary\"] = TextParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/videoparser.js": {
"title": "$:/core/modules/parsers/videoparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/videoparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe video parser parses a video tiddler into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar VideoParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"video\",\n\t\t\tattributes: {\n\t\t\t\tcontrols: {type: \"string\", value: \"controls\"},\n\t\t\t\tstyle: {type: \"string\", value: \"width: 100%; object-fit: contain\"}\n\t\t\t}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"video/ogg\"] = VideoParser;\nexports[\"video/webm\"] = VideoParser;\nexports[\"video/mp4\"] = VideoParser;\nexports[\"video/quicktime\"] = VideoParser;\n\n})();\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/wikiparser/rules/codeblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/codeblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/codeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for code blocks. For example:\n\n```\n\t```\n\tThis text will not be //wikified//\n\t```\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"codeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match and get language if defined\n\tthis.matchRegExp = /```([\\w-]*)\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /(\\r?\\n```$)/mg;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Look for the end of the block\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the block\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\t// Return the $codeblock widget\n\treturn [{\n\t\t\ttype: \"codeblock\",\n\t\t\tattributes: {\n\t\t\t\t\tcode: {type: \"string\", value: text},\n\t\t\t\t\tlanguage: {type: \"string\", value: this.match[1]}\n\t\t\t}\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/codeinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/codeinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/codeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for code runs. For example:\n\n```\n\tThis is a `code run`.\n\tThis is another ``code run``\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"codeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(``?)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar reEnd = new RegExp(this.match[1], \"mg\");\n\t// Look for the end marker\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the text\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"code\",\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: text\n\t\t}]\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/commentblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/commentblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/commentblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for HTML comments. For example:\n\n```\n<!-- This is a comment -->\n```\n\nNote that the syntax for comments is simplified to an opening \"<!--\" sequence and a closing \"-->\" sequence -- HTML itself implements a more complex format (see http://ostermiller.org/findhtmlcomment.html)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"commentblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /<!--/mg;\n\tthis.endMatchRegExp = /-->/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\tif(this.match) {\n\t\tthis.endMatchRegExp.lastIndex = startPos + this.match[0].length;\n\t\tthis.endMatch = this.endMatchRegExp.exec(this.parser.source);\n\t\tif(this.endMatch) {\n\t\t\treturn this.match.index;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\t// Don't return any elements\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/commentinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/commentinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/commentinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for HTML comments. For example:\n\n```\n<!-- This is a comment -->\n```\n\nNote that the syntax for comments is simplified to an opening \"<!--\" sequence and a closing \"-->\" sequence -- HTML itself implements a more complex format (see http://ostermiller.org/findhtmlcomment.html)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"commentinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /<!--/mg;\n\tthis.endMatchRegExp = /-->/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\tif(this.match) {\n\t\tthis.endMatchRegExp.lastIndex = startPos + this.match[0].length;\n\t\tthis.endMatch = this.endMatchRegExp.exec(this.parser.source);\n\t\tif(this.endMatch) {\n\t\t\treturn this.match.index;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\t// Don't return any elements\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/dash.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/dash.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/dash.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for dashes. For example:\n\n```\nThis is an en-dash: --\n\nThis is an em-dash: ---\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"dash\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /-{2,3}(?!-)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar dash = this.match[0].length === 2 ? \"–\" : \"—\";\n\treturn [{\n\t\ttype: \"entity\",\n\t\tentity: dash\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/bold.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/bold.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/bold.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - bold. For example:\n\n```\n\tThis is ''bold'' text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except bold \n\\rules only bold \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"bold\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /''/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/''/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"strong\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/italic.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/italic.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/italic.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - italic. For example:\n\n```\n\tThis is //italic// text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except italic\n\\rules only italic\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"italic\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\/\\//mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/\\/\\//mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"em\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - strikethrough. For example:\n\n```\n\tThis is ~~strikethrough~~ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except strikethrough \n\\rules only strikethrough \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"strikethrough\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~~/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/~~/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"strike\",\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - subscript. For example:\n\n```\n\tThis is ,,subscript,, text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except subscript \n\\rules only subscript \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"subscript\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /,,/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/,,/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"sub\",\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - superscript. For example:\n\n```\n\tThis is ^^superscript^^ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except superscript \n\\rules only superscript \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"superscript\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\^\\^/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/\\^\\^/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"sup\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - underscore. For example:\n\n```\n\tThis is __underscore__ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except underscore \n\\rules only underscore\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"underscore\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /__/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/__/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"u\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/entity.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/entity.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/entity.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for HTML entities. For example:\n\n```\n\tThis is a copyright symbol: ©\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"entity\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(&#?[a-zA-Z0-9]{2,8};)/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar entityString = this.match[1];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Return the entity\n\treturn [{type: \"entity\", entity: this.match[0]}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/extlink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/extlink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/extlink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for external links. For example:\n\n```\nAn external link: https://www.tiddlywiki.com/\n\nA suppressed external link: ~http://www.tiddlyspace.com/\n```\n\nExternal links can be suppressed by preceding them with `~`.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"extlink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~?(?:file|http|https|mailto|ftp|irc|news|data|skype):[^\\s<>{}\\[\\]`|\"\\\\^]+(?:\\/|\\b)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Create the link unless it is suppressed\n\tif(this.match[0].substr(0,1) === \"~\") {\n\t\treturn [{type: \"text\", text: this.match[0].substr(1)}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tattributes: {\n\t\t\t\thref: {type: \"string\", value: this.match[0]},\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t\ttarget: {type: \"string\", value: \"_blank\"},\n\t\t\t\trel: {type: \"string\", value: \"noopener noreferrer\"}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: this.match[0]\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for block-level filtered transclusion. For example:\n\n```\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"filteredtranscludeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{\\{([^\\|]+?)(?:\\|([^\\|\\{\\}]+))?(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}([^\\}]*)\\}(?:\\.(\\S+))?(?:\\r?\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar filter = this.match[1],\n\t\ttooltip = this.match[2],\n\t\ttemplate = $tw.utils.trim(this.match[3]),\n\t\tstyle = this.match[4],\n\t\tclasses = this.match[5];\n\t// Return the list widget\n\tvar node = {\n\t\ttype: \"list\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: filter}\n\t\t},\n\t\tisBlock: true\n\t};\n\tif(tooltip) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: tooltip};\n\t}\n\tif(template) {\n\t\tnode.attributes.template = {type: \"string\", value: template};\n\t}\n\tif(style) {\n\t\tnode.attributes.style = {type: \"string\", value: style};\n\t}\n\tif(classes) {\n\t\tnode.attributes.itemClass = {type: \"string\", value: classes.split(\".\").join(\" \")};\n\t}\n\treturn [node];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for inline filtered transclusion. For example:\n\n```\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"filteredtranscludeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{\\{([^\\|]+?)(?:\\|([^\\|\\{\\}]+))?(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}([^\\}]*)\\}(?:\\.(\\S+))?/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar filter = this.match[1],\n\t\ttooltip = this.match[2],\n\t\ttemplate = $tw.utils.trim(this.match[3]),\n\t\tstyle = this.match[4],\n\t\tclasses = this.match[5];\n\t// Return the list widget\n\tvar node = {\n\t\ttype: \"list\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: filter}\n\t\t}\n\t};\n\tif(tooltip) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: tooltip};\n\t}\n\tif(template) {\n\t\tnode.attributes.template = {type: \"string\", value: template};\n\t}\n\tif(style) {\n\t\tnode.attributes.style = {type: \"string\", value: style};\n\t}\n\tif(classes) {\n\t\tnode.attributes.itemClass = {type: \"string\", value: classes.split(\".\").join(\" \")};\n\t}\n\treturn [node];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for marking areas with hard line breaks. For example:\n\n```\n\"\"\"\nThis is some text\nThat is set like\nIt is a Poem\nWhen it is\nClearly\nNot\n\"\"\"\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"hardlinebreaks\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\"\"\"(?:\\r?\\n)?/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /(\"\"\")|(\\r?\\n)/mg,\n\t\ttree = [],\n\t\tmatch;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tdo {\n\t\t// Parse the run up to the terminator\n\t\ttree.push.apply(tree,this.parser.parseInlineRun(reEnd,{eatTerminator: false}));\n\t\t// Redo the terminator match\n\t\treEnd.lastIndex = this.parser.pos;\n\t\tmatch = reEnd.exec(this.parser.source);\n\t\tif(match) {\n\t\t\tthis.parser.pos = reEnd.lastIndex;\n\t\t\t// Add a line break if the terminator was a line break\n\t\t\tif(match[2]) {\n\t\t\t\ttree.push({type: \"element\", tag: \"br\"});\n\t\t\t}\n\t\t}\n\t} while(match && !match[1]);\n\t// Return the nodes\n\treturn tree;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/heading.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/heading.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/heading.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for headings\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"heading\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(!{1,6})/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar headingLevel = this.match[1].length;\n\t// Move past the !s\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse any classes, whitespace and then the heading itself\n\tvar classes = this.parser.parseClasses();\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tvar tree = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// Return the heading\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"h\" + headingLevel, \n\t\tattributes: {\n\t\t\t\"class\": {type: \"string\", value: classes.join(\" \")}\n\t\t},\n\t\tchildren: tree\n\t}];\n};\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/horizrule.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/horizrule.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/horizrule.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for rules. For example:\n\n```\n---\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"horizrule\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /-{3,}\\r?(?:\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\treturn [{type: \"element\", tag: \"hr\"}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/html.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/html.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/html.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for HTML elements and widgets. For example:\n\n{{{\n<aside>\nThis is an HTML5 aside element\n</aside>\n\n<$slider target=\"MyTiddler\">\nThis is a widget invocation\n</$slider>\n\n}}}\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"html\";\nexports.types = {inline: true, block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextTag = this.findNextTag(this.parser.source,startPos,{\n\t\trequireLineBreak: this.is.block\n\t});\n\treturn this.nextTag ? this.nextTag.start : undefined;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Retrieve the most recent match so that recursive calls don't overwrite it\n\tvar tag = this.nextTag;\n\tthis.nextTag = null;\n\t// Advance the parser position to past the tag\n\tthis.parser.pos = tag.end;\n\t// Check for an immediately following double linebreak\n\tvar hasLineBreak = !tag.isSelfClosing && !!$tw.utils.parseTokenRegExp(this.parser.source,this.parser.pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t// Set whether we're in block mode\n\ttag.isBlock = this.is.block || hasLineBreak;\n\t// Parse the body if we need to\n\tif(!tag.isSelfClosing && $tw.config.htmlVoidElements.indexOf(tag.tag) === -1) {\n\t\t\tvar reEndString = \"</\" + $tw.utils.escapeRegExp(tag.tag) + \">\",\n\t\t\t\treEnd = new RegExp(\"(\" + reEndString + \")\",\"mg\");\n\t\tif(hasLineBreak) {\n\t\t\ttag.children = this.parser.parseBlocks(reEndString);\n\t\t} else {\n\t\t\ttag.children = this.parser.parseInlineRun(reEnd);\n\t\t}\n\t\treEnd.lastIndex = this.parser.pos;\n\t\tvar endMatch = reEnd.exec(this.parser.source);\n\t\tif(endMatch && endMatch.index === this.parser.pos) {\n\t\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t\t}\n\t}\n\t// Return the tag\n\treturn [tag];\n};\n\n/*\nLook for an HTML tag. Returns null if not found, otherwise returns {type: \"element\", name:, attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseTag = function(source,pos,options) {\n\toptions = options || {};\n\tvar token,\n\t\tnode = {\n\t\t\ttype: \"element\",\n\t\t\tstart: pos,\n\t\t\tattributes: {}\n\t\t};\n\t// Define our regexps\n\tvar reTagName = /([a-zA-Z0-9\\-\\$]+)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a less than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\"<\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the tag name\n\ttoken = $tw.utils.parseTokenRegExp(source,pos,reTagName);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tnode.tag = token.match[1];\n\tif(node.tag.slice(1).indexOf(\"$\") !== -1) {\n\t\treturn null;\n\t}\n\tif(node.tag.charAt(0) === \"$\") {\n\t\tnode.type = node.tag.substr(1);\n\t}\n\tpos = token.end;\n\t// Check that the tag is terminated by a space, / or >\n\tif(!$tw.utils.parseWhiteSpace(source,pos) && !(source.charAt(pos) === \"/\") && !(source.charAt(pos) === \">\") ) {\n\t\treturn null;\n\t}\n\t// Process attributes\n\tvar attribute = $tw.utils.parseAttribute(source,pos);\n\twhile(attribute) {\n\t\tnode.attributes[attribute.name] = attribute;\n\t\tpos = attribute.end;\n\t\t// Get the next attribute\n\t\tattribute = $tw.utils.parseAttribute(source,pos);\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a closing slash\n\ttoken = $tw.utils.parseTokenString(source,pos,\"/\");\n\tif(token) {\n\t\tpos = token.end;\n\t\tnode.isSelfClosing = true;\n\t}\n\t// Look for a greater than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\">\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Check for a required line break\n\tif(options.requireLineBreak) {\n\t\ttoken = $tw.utils.parseTokenRegExp(source,pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t\tif(!token) {\n\t\t\treturn null;\n\t\t}\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\nexports.findNextTag = function(source,pos,options) {\n\t// A regexp for finding candidate HTML tags\n\tvar reLookahead = /<([a-zA-Z\\-\\$]+)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a tag\n\t\tvar tag = this.parseTag(source,match.index,options);\n\t\t// Return success\n\t\tif(tag && this.isLegalTag(tag)) {\n\t\t\treturn tag;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\nexports.isLegalTag = function(tag) {\n\t// Widgets are always OK\n\tif(tag.type !== \"element\") {\n\t\treturn true;\n\t// If it's an HTML tag that starts with a dash then it's not legal\n\t} else if(tag.tag.charAt(0) === \"-\") {\n\t\treturn false;\n\t} else {\n\t\t// Otherwise it's OK\n\t\treturn true;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/image.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/image.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/image.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for embedding images. For example:\n\n```\n[img[https://tiddlywiki.com/fractalveg.jpg]]\n[img width=23 height=24 [https://tiddlywiki.com/fractalveg.jpg]]\n[img width={{!!width}} height={{!!height}} [https://tiddlywiki.com/fractalveg.jpg]]\n[img[Description of image|https://tiddlywiki.com/fractalveg.jpg]]\n[img[TiddlerTitle]]\n[img[Description of image|TiddlerTitle]]\n```\n\nGenerates the `<$image>` widget.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"image\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextImage = this.findNextImage(this.parser.source,startPos);\n\treturn this.nextImage ? this.nextImage.start : undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.nextImage.end;\n\tvar node = {\n\t\ttype: \"image\",\n\t\tattributes: this.nextImage.attributes\n\t};\n\treturn [node];\n};\n\n/*\nFind the next image from the current position\n*/\nexports.findNextImage = function(source,pos) {\n\t// A regexp for finding candidate HTML tags\n\tvar reLookahead = /(\\[img)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a tag\n\t\tvar tag = this.parseImage(source,match.index);\n\t\t// Return success\n\t\tif(tag) {\n\t\t\treturn tag;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\n/*\nLook for an image at the specified position. Returns null if not found, otherwise returns {type: \"image\", attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseImage = function(source,pos) {\n\tvar token,\n\t\tnode = {\n\t\t\ttype: \"image\",\n\t\t\tstart: pos,\n\t\t\tattributes: {}\n\t\t};\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[img`\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[img\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Process attributes\n\tif(source.charAt(pos) !== \"[\") {\n\t\tvar attribute = $tw.utils.parseAttribute(source,pos);\n\t\twhile(attribute) {\n\t\t\tnode.attributes[attribute.name] = attribute;\n\t\t\tpos = attribute.end;\n\t\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t\tif(source.charAt(pos) !== \"[\") {\n\t\t\t\t// Get the next attribute\n\t\t\t\tattribute = $tw.utils.parseAttribute(source,pos);\n\t\t\t} else {\n\t\t\t\tattribute = null;\n\t\t\t}\n\t\t}\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[` after the attributes\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Get the source up to the terminating `]]`\n\ttoken = $tw.utils.parseTokenRegExp(source,pos,/(?:([^|\\]]*?)\\|)?([^\\]]+?)\\]\\]/g);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\tif(token.match[1]) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: token.match[1].trim()};\n\t}\n\tnode.attributes.source = {type: \"string\", value: (token.match[2] || \"\").trim()};\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/import.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/import.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/import.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for importing variable definitions\n\n```\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"import\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\import[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\tvar self = this;\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the filter terminated by a line break\n\tvar reMatch = /(.*)(\\r?\\n)|$/mg;\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\tthis.parser.pos = reMatch.lastIndex;\n\t// Parse tree nodes to return\n\treturn [{\n\t\ttype: \"importvariables\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: match[1]}\n\t\t},\n\t\tchildren: []\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/list.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/list.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/list.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for lists. For example:\n\n```\n* This is an unordered list\n* It has two items\n\n# This is a numbered list\n## With a subitem\n# And a third item\n\n; This is a term that is being defined\n: This is the definition of that term\n```\n\nNote that lists can be nested arbitrarily:\n\n```\n#** One\n#* Two\n#** Three\n#**** Four\n#**# Five\n#**## Six\n## Seven\n### Eight\n## Nine\n```\n\nA CSS class can be applied to a list item as follows:\n\n```\n* List item one\n*.active List item two has the class `active`\n* List item three\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"list\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /([\\*#;:>]+)/mg;\n};\n\nvar listTypes = {\n\t\"*\": {listTag: \"ul\", itemTag: \"li\"},\n\t\"#\": {listTag: \"ol\", itemTag: \"li\"},\n\t\";\": {listTag: \"dl\", itemTag: \"dt\"},\n\t\":\": {listTag: \"dl\", itemTag: \"dd\"},\n\t\">\": {listTag: \"blockquote\", itemTag: \"div\"}\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Array of parse tree nodes for the previous row of the list\n\tvar listStack = [];\n\t// Cycle through the items in the list\n\twhile(true) {\n\t\t// Match the list marker\n\t\tvar reMatch = /([\\*#;:>]+)/mg;\n\t\treMatch.lastIndex = this.parser.pos;\n\t\tvar match = reMatch.exec(this.parser.source);\n\t\tif(!match || match.index !== this.parser.pos) {\n\t\t\tbreak;\n\t\t}\n\t\t// Check whether the list type of the top level matches\n\t\tvar listInfo = listTypes[match[0].charAt(0)];\n\t\tif(listStack.length > 0 && listStack[0].tag !== listInfo.listTag) {\n\t\t\tbreak;\n\t\t}\n\t\t// Move past the list marker\n\t\tthis.parser.pos = match.index + match[0].length;\n\t\t// Walk through the list markers for the current row\n\t\tfor(var t=0; t<match[0].length; t++) {\n\t\t\tlistInfo = listTypes[match[0].charAt(t)];\n\t\t\t// Remove any stacked up element if we can't re-use it because the list type doesn't match\n\t\t\tif(listStack.length > t && listStack[t].tag !== listInfo.listTag) {\n\t\t\t\tlistStack.splice(t,listStack.length - t);\n\t\t\t}\n\t\t\t// Construct the list element or reuse the previous one at this level\n\t\t\tif(listStack.length <= t) {\n\t\t\t\tvar listElement = {type: \"element\", tag: listInfo.listTag, children: [\n\t\t\t\t\t{type: \"element\", tag: listInfo.itemTag, children: []}\n\t\t\t\t]};\n\t\t\t\t// Link this list element into the last child item of the parent list item\n\t\t\t\tif(t) {\n\t\t\t\t\tvar prevListItem = listStack[t-1].children[listStack[t-1].children.length-1];\n\t\t\t\t\tprevListItem.children.push(listElement);\n\t\t\t\t}\n\t\t\t\t// Save this element in the stack\n\t\t\t\tlistStack[t] = listElement;\n\t\t\t} else if(t === (match[0].length - 1)) {\n\t\t\t\tlistStack[t].children.push({type: \"element\", tag: listInfo.itemTag, children: []});\n\t\t\t}\n\t\t}\n\t\tif(listStack.length > match[0].length) {\n\t\t\tlistStack.splice(match[0].length,listStack.length - match[0].length);\n\t\t}\n\t\t// Process the body of the list item into the last list item\n\t\tvar lastListChildren = listStack[listStack.length-1].children,\n\t\t\tlastListItem = lastListChildren[lastListChildren.length-1],\n\t\t\tclasses = this.parser.parseClasses();\n\t\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\t\tvar tree = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t\tlastListItem.children.push.apply(lastListItem.children,tree);\n\t\tif(classes.length > 0) {\n\t\t\t$tw.utils.addClassToParseTreeNode(lastListItem,classes.join(\" \"));\n\t\t}\n\t\t// Consume any whitespace following the list item\n\t\tthis.parser.skipWhitespace();\n\t}\n\t// Return the root element of the list\n\treturn [listStack[0]];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/macrocallblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/macrocallblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrocallblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for block macro calls\n\n```\n<<name value value2>>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrocallblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /<<([^>\\s]+)(?:\\s*)((?:[^>]|(?:>(?!>)))*?)>>(?:\\r?\\n|$)/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar macroName = this.match[1],\n\t\tparamString = this.match[2];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = {\n\t\t\tvalue: paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6]\n\t\t};\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn [{\n\t\ttype: \"macrocall\",\n\t\tname: macroName,\n\t\tparams: params,\n\t\tisBlock: true\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/macrocallinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/macrocallinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrocallinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for macro calls\n\n```\n<<name value value2>>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrocallinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /<<([^\\s>]+)\\s*([\\s\\S]*?)>>/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar macroName = this.match[1],\n\t\tparamString = this.match[2];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = {\n\t\t\tvalue: paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5]|| paramMatch[6]\n\t\t};\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn [{\n\t\ttype: \"macrocall\",\n\t\tname: macroName,\n\t\tparams: params\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/macrodef.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/macrodef.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrodef.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for macro definitions\n\n```\n\\define name(param:defaultvalue,param2:defaultvalue)\ndefinition text, including $param$ markers\n\\end\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrodef\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\define\\s+([^(\\s]+)\\(\\s*([^)]*)\\)(\\s*\\r?\\n)?/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the macro name and parameters\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the parameters\n\tvar paramString = this.match[2],\n\t\tparams = [];\n\tif(paramString !== \"\") {\n\t\tvar reParam = /\\s*([A-Za-z0-9\\-_]+)(?:\\s*:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))?/mg,\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\twhile(paramMatch) {\n\t\t\t// Save the parameter details\n\t\t\tvar paramInfo = {name: paramMatch[1]},\n\t\t\t\tdefaultValue = paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6];\n\t\t\tif(defaultValue) {\n\t\t\t\tparamInfo[\"default\"] = defaultValue;\n\t\t\t}\n\t\t\tparams.push(paramInfo);\n\t\t\t// Look for the next parameter\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\t}\n\t}\n\t// Is this a multiline definition?\n\tvar reEnd;\n\tif(this.match[3]) {\n\t\t// If so, the end of the body is marked with \\end\n\t\treEnd = /(\\r?\\n\\\\end[^\\S\\n\\r]*(?:$|\\r?\\n))/mg;\n\t} else {\n\t\t// Otherwise, the end of the definition is marked by the end of the line\n\t\treEnd = /($|\\r?\\n)/mg;\n\t\t// Move past any whitespace\n\t\tthis.parser.pos = $tw.utils.skipWhiteSpace(this.parser.source,this.parser.pos);\n\t}\n\t// Find the end of the definition\n\treEnd.lastIndex = this.parser.pos;\n\tvar text,\n\t\tendMatch = reEnd.exec(this.parser.source);\n\tif(endMatch) {\n\t\ttext = this.parser.source.substring(this.parser.pos,endMatch.index);\n\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t} else {\n\t\t// We didn't find the end of the definition, so we'll make it blank\n\t\ttext = \"\";\n\t}\n\t// Save the macro definition\n\treturn [{\n\t\ttype: \"set\",\n\t\tattributes: {\n\t\t\tname: {type: \"string\", value: this.match[1]},\n\t\t\tvalue: {type: \"string\", value: text}\n\t\t},\n\t\tchildren: [],\n\t\tparams: params,\n\t\tisMacroDefinition: true\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/prettyextlink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/prettyextlink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/prettyextlink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for external links. For example:\n\n```\n[ext[https://tiddlywiki.com/fractalveg.jpg]]\n[ext[Tooltip|https://tiddlywiki.com/fractalveg.jpg]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"prettyextlink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextLink = this.findNextLink(this.parser.source,startPos);\n\treturn this.nextLink ? this.nextLink.start : undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.nextLink.end;\n\treturn [this.nextLink];\n};\n\n/*\nFind the next link from the current position\n*/\nexports.findNextLink = function(source,pos) {\n\t// A regexp for finding candidate links\n\tvar reLookahead = /(\\[ext\\[)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a link\n\t\tvar link = this.parseLink(source,match.index);\n\t\t// Return success\n\t\tif(link) {\n\t\t\treturn link;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\n/*\nLook for an link at the specified position. Returns null if not found, otherwise returns {type: \"element\", tag: \"a\", attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseLink = function(source,pos) {\n\tvar token,\n\t\ttextNode = {\n\t\t\ttype: \"text\"\n\t\t},\n\t\tnode = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tstart: pos,\n\t\t\tattributes: {\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t},\n\t\t\tchildren: [textNode]\n\t\t};\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[ext[`\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[ext[\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Look ahead for the terminating `]]`\n\tvar closePos = source.indexOf(\"]]\",pos);\n\tif(closePos === -1) {\n\t\treturn null;\n\t}\n\t// Look for a `|` separating the tooltip\n\tvar splitPos = source.indexOf(\"|\",pos);\n\tif(splitPos === -1 || splitPos > closePos) {\n\t\tsplitPos = null;\n\t}\n\t// Pull out the tooltip and URL\n\tvar tooltip, URL;\n\tif(splitPos) {\n\t\tURL = source.substring(splitPos + 1,closePos).trim();\n\t\ttextNode.text = source.substring(pos,splitPos).trim();\n\t} else {\n\t\tURL = source.substring(pos,closePos).trim();\n\t\ttextNode.text = URL;\n\t}\n\tnode.attributes.href = {type: \"string\", value: URL};\n\tnode.attributes.target = {type: \"string\", value: \"_blank\"};\n\tnode.attributes.rel = {type: \"string\", value: \"noopener noreferrer\"};\n\t// Update the end position\n\tnode.end = closePos + 2;\n\treturn node;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/prettylink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/prettylink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/prettylink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for pretty links. For example:\n\n```\n[[Introduction]]\n\n[[Link description|TiddlerTitle]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"prettylink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\[\\[(.*?)(?:\\|(.*?))?\\]\\]/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Process the link\n\tvar text = this.match[1],\n\t\tlink = this.match[2] || text;\n\tif($tw.utils.isLinkExternal(link)) {\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tattributes: {\n\t\t\t\thref: {type: \"string\", value: link},\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t\ttarget: {type: \"string\", value: \"_blank\"},\n\t\t\t\trel: {type: \"string\", value: \"noopener noreferrer\"}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: text\n\t\t\t}]\n\t\t}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"link\",\n\t\t\tattributes: {\n\t\t\t\tto: {type: \"string\", value: link}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: text\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/quoteblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/quoteblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/quoteblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for quote blocks. For example:\n\n```\n\t<<<.optionalClass(es) optional cited from\n\ta quote\n\t<<<\n\t\n\t<<<.optionalClass(es)\n\ta quote\n\t<<< optional cited from\n```\n\nQuotes can be quoted by putting more <s\n\n```\n\t<<<\n\tQuote Level 1\n\t\n\t<<<<\n\tQuoteLevel 2\n\t<<<<\n\t\n\t<<<\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"quoteblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(<<<+)/mg;\n};\n\nexports.parse = function() {\n\tvar classes = [\"tc-quote\"];\n\t// Get all the details of the match\n\tvar reEndString = \"^\" + this.match[1] + \"(?!<)\";\n\t// Move past the <s\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t\n\t// Parse any classes, whitespace and then the optional cite itself\n\tclasses.push.apply(classes, this.parser.parseClasses());\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tvar cite = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// before handling the cite, parse the body of the quote\n\tvar tree= this.parser.parseBlocks(reEndString);\n\t// If we got a cite, put it before the text\n\tif(cite.length > 0) {\n\t\ttree.unshift({\n\t\t\ttype: \"element\",\n\t\t\ttag: \"cite\",\n\t\t\tchildren: cite\n\t\t});\n\t}\n\t// Parse any optional cite\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tcite = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// If we got a cite, push it\n\tif(cite.length > 0) {\n\t\ttree.push({\n\t\t\ttype: \"element\",\n\t\t\ttag: \"cite\",\n\t\t\tchildren: cite\n\t\t});\n\t}\n\t// Return the blockquote element\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"blockquote\",\n\t\tattributes: {\n\t\t\tclass: { type: \"string\", value: classes.join(\" \") },\n\t\t},\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/rules.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/rules.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/rules.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for rules specifications\n\n```\n\\rules except ruleone ruletwo rulethree\n\\rules only ruleone ruletwo rulethree\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"rules\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\rules[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse whitespace delimited tokens terminated by a line break\n\tvar reMatch = /[^\\S\\n]*(\\S+)|(\\r?\\n)/mg,\n\t\ttokens = [];\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\twhile(match && match.index === this.parser.pos) {\n\t\tthis.parser.pos = reMatch.lastIndex;\n\t\t// Exit if we've got the line break\n\t\tif(match[2]) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the token\n\t\tif(match[1]) {\n\t\t\ttokens.push(match[1]);\n\t\t}\n\t\t// Match the next token\n\t\tmatch = reMatch.exec(this.parser.source);\n\t}\n\t// Process the tokens\n\tif(tokens.length > 0) {\n\t\tthis.parser.amendRules(tokens[0],tokens.slice(1));\n\t}\n\t// No parse tree nodes to return\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/styleblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/styleblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/styleblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for assigning styles and classes to paragraphs and other blocks. For example:\n\n```\n@@.myClass\n@@background-color:red;\nThis paragraph will have the CSS class `myClass`.\n\n* The `<ul>` around this list will also have the class `myClass`\n* List item 2\n\n@@\n```\n\nNote that classes and styles can be mixed subject to the rule that styles must precede classes. For example\n\n```\n@@.myFirstClass.mySecondClass\n@@width:100px;.myThirdClass\nThis is a paragraph\n@@\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"styleblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /@@((?:[^\\.\\r\\n\\s:]+:[^\\r\\n;]+;)+)?(?:\\.([^\\r\\n\\s]+))?\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEndString = \"^@@(?:\\\\r?\\\\n)?\";\n\tvar classes = [], styles = [];\n\tdo {\n\t\t// Get the class and style\n\t\tif(this.match[1]) {\n\t\t\tstyles.push(this.match[1]);\n\t\t}\n\t\tif(this.match[2]) {\n\t\t\tclasses.push(this.match[2].split(\".\").join(\" \"));\n\t\t}\n\t\t// Move past the match\n\t\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t\t// Look for another line of classes and styles\n\t\tthis.match = this.matchRegExp.exec(this.parser.source);\n\t} while(this.match && this.match.index === this.parser.pos);\n\t// Parse the body\n\tvar tree = this.parser.parseBlocks(reEndString);\n\tfor(var t=0; t<tree.length; t++) {\n\t\tif(classes.length > 0) {\n\t\t\t$tw.utils.addClassToParseTreeNode(tree[t],classes.join(\" \"));\n\t\t}\n\t\tif(styles.length > 0) {\n\t\t\t$tw.utils.addAttributeToParseTreeNode(tree[t],\"style\",styles.join(\"\"));\n\t\t}\n\t}\n\treturn tree;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/styleinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/styleinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/styleinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for assigning styles and classes to inline runs. For example:\n\n```\n@@.myClass This is some text with a class@@\n@@background-color:red;This is some text with a background colour@@\n@@width:100px;.myClass This is some text with a class and a width@@\n```\n\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"styleinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /@@((?:[^\\.\\r\\n\\s:]+:[^\\r\\n;]+;)+)?(\\.(?:[^\\r\\n\\s]+)\\s+)?/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /@@/g;\n\t// Get the styles and class\n\tvar stylesString = this.match[1],\n\t\tclassString = this.match[2] ? this.match[2].split(\".\").join(\" \") : undefined;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the run up to the terminator\n\tvar tree = this.parser.parseInlineRun(reEnd,{eatTerminator: true});\n\t// Return the classed span\n\tvar node = {\n\t\ttype: \"element\",\n\t\ttag: \"span\",\n\t\tattributes: {\n\t\t\t\"class\": {type: \"string\", value: \"tc-inline-style\"}\n\t\t},\n\t\tchildren: tree\n\t};\n\tif(classString) {\n\t\t$tw.utils.addClassToParseTreeNode(node,classString);\n\t}\n\tif(stylesString) {\n\t\t$tw.utils.addAttributeToParseTreeNode(node,\"style\",stylesString);\n\t}\n\treturn [node];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/syslink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/syslink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/syslink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for system tiddler links.\nCan be suppressed preceding them with `~`.\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"syslink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp(\n\t\t\"~?\\\\$:\\\\/[\" +\n\t\t$tw.config.textPrimitives.anyLetter.substr(1,$tw.config.textPrimitives.anyLetter.length - 2) +\n\t\t\"\\/._-]+\",\n\t\t\"mg\"\n\t);\n};\n\nexports.parse = function() {\n\tvar match = this.match[0];\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Create the link unless it is suppressed\n\tif(match.substr(0,1) === \"~\") {\n\t\treturn [{type: \"text\", text: match.substr(1)}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"link\",\n\t\t\tattributes: {\n\t\t\t\tto: {type: \"string\", value: match}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: match\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/table.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/table.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/table.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for tables.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"table\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\|(?:[^\\n]*)\\|(?:[fhck]?)\\r?(?:\\n|$)/mg;\n};\n\nvar processRow = function(prevColumns) {\n\tvar cellRegExp = /(?:\\|([^\\n\\|]*)\\|)|(\\|[fhck]?\\r?(?:\\n|$))/mg,\n\t\tcellTermRegExp = /((?:\\x20*)\\|)/mg,\n\t\ttree = [],\n\t\tcol = 0,\n\t\tcolSpanCount = 1,\n\t\tprevCell,\n\t\tvAlign;\n\t// Match a single cell\n\tcellRegExp.lastIndex = this.parser.pos;\n\tvar cellMatch = cellRegExp.exec(this.parser.source);\n\twhile(cellMatch && cellMatch.index === this.parser.pos) {\n\t\tif(cellMatch[1] === \"~\") {\n\t\t\t// Rowspan\n\t\t\tvar last = prevColumns[col];\n\t\t\tif(last) {\n\t\t\t\tlast.rowSpanCount++;\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"rowspan\",last.rowSpanCount);\n\t\t\t\tvAlign = $tw.utils.getAttributeValueFromParseTreeNode(last.element,\"valign\",\"center\");\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"valign\",vAlign);\n\t\t\t\tif(colSpanCount > 1) {\n\t\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"colspan\",colSpanCount);\n\t\t\t\t\tcolSpanCount = 1;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[1] === \">\") {\n\t\t\t// Colspan\n\t\t\tcolSpanCount++;\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[1] === \"<\" && prevCell) {\n\t\t\tcolSpanCount = 1 + $tw.utils.getAttributeValueFromParseTreeNode(prevCell,\"colspan\",1);\n\t\t\t$tw.utils.addAttributeToParseTreeNode(prevCell,\"colspan\",colSpanCount);\n\t\t\tcolSpanCount = 1;\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[2]) {\n\t\t\t// End of row\n\t\t\tif(prevCell && colSpanCount > 1) {\n\t\t\t\tif(prevCell.attributes && prevCell.attributes && prevCell.attributes.colspan) {\n\t\t\t\t\t\tcolSpanCount += prevCell.attributes.colspan.value;\n\t\t\t\t} else {\n\t\t\t\t\tcolSpanCount -= 1;\n\t\t\t\t}\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(prevCell,\"colspan\",colSpanCount);\n\t\t\t}\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t\tbreak;\n\t\t} else {\n\t\t\t// For ordinary cells, step beyond the opening `|`\n\t\t\tthis.parser.pos++;\n\t\t\t// Look for a space at the start of the cell\n\t\t\tvar spaceLeft = false;\n\t\t\tvAlign = null;\n\t\t\tif(this.parser.source.substr(this.parser.pos).search(/^\\^([^\\^]|\\^\\^)/) === 0) {\n\t\t\t\tvAlign = \"top\";\n\t\t\t} else if(this.parser.source.substr(this.parser.pos).search(/^,([^,]|,,)/) === 0) {\n\t\t\t\tvAlign = \"bottom\";\n\t\t\t}\n\t\t\tif(vAlign) {\n\t\t\t\tthis.parser.pos++;\n\t\t\t}\n\t\t\tvar chr = this.parser.source.substr(this.parser.pos,1);\n\t\t\twhile(chr === \" \") {\n\t\t\t\tspaceLeft = true;\n\t\t\t\tthis.parser.pos++;\n\t\t\t\tchr = this.parser.source.substr(this.parser.pos,1);\n\t\t\t}\n\t\t\t// Check whether this is a heading cell\n\t\t\tvar cell;\n\t\t\tif(chr === \"!\") {\n\t\t\t\tthis.parser.pos++;\n\t\t\t\tcell = {type: \"element\", tag: \"th\", children: []};\n\t\t\t} else {\n\t\t\t\tcell = {type: \"element\", tag: \"td\", children: []};\n\t\t\t}\n\t\t\ttree.push(cell);\n\t\t\t// Record information about this cell\n\t\t\tprevCell = cell;\n\t\t\tprevColumns[col] = {rowSpanCount:1,element:cell};\n\t\t\t// Check for a colspan\n\t\t\tif(colSpanCount > 1) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"colspan\",colSpanCount);\n\t\t\t\tcolSpanCount = 1;\n\t\t\t}\n\t\t\t// Parse the cell\n\t\t\tcell.children = this.parser.parseInlineRun(cellTermRegExp,{eatTerminator: true});\n\t\t\t// Set the alignment for the cell\n\t\t\tif(vAlign) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"valign\",vAlign);\n\t\t\t}\n\t\t\tif(this.parser.source.substr(this.parser.pos - 2,1) === \" \") { // spaceRight\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"align\",spaceLeft ? \"center\" : \"left\");\n\t\t\t} else if(spaceLeft) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"align\",\"right\");\n\t\t\t}\n\t\t\t// Move back to the closing `|`\n\t\t\tthis.parser.pos--;\n\t\t}\n\t\tcol++;\n\t\tcellRegExp.lastIndex = this.parser.pos;\n\t\tcellMatch = cellRegExp.exec(this.parser.source);\n\t}\n\treturn tree;\n};\n\nexports.parse = function() {\n\tvar rowContainerTypes = {\"c\":\"caption\", \"h\":\"thead\", \"\":\"tbody\", \"f\":\"tfoot\"},\n\t\ttable = {type: \"element\", tag: \"table\", children: []},\n\t\trowRegExp = /^\\|([^\\n]*)\\|([fhck]?)\\r?(?:\\n|$)/mg,\n\t\trowTermRegExp = /(\\|(?:[fhck]?)\\r?(?:\\n|$))/mg,\n\t\tprevColumns = [],\n\t\tcurrRowType,\n\t\trowContainer,\n\t\trowCount = 0;\n\t// Match the row\n\trowRegExp.lastIndex = this.parser.pos;\n\tvar rowMatch = rowRegExp.exec(this.parser.source);\n\twhile(rowMatch && rowMatch.index === this.parser.pos) {\n\t\tvar rowType = rowMatch[2];\n\t\t// Check if it is a class assignment\n\t\tif(rowType === \"k\") {\n\t\t\t$tw.utils.addClassToParseTreeNode(table,rowMatch[1]);\n\t\t\tthis.parser.pos = rowMatch.index + rowMatch[0].length;\n\t\t} else {\n\t\t\t// Otherwise, create a new row if this one is of a different type\n\t\t\tif(rowType !== currRowType) {\n\t\t\t\trowContainer = {type: \"element\", tag: rowContainerTypes[rowType], children: []};\n\t\t\t\ttable.children.push(rowContainer);\n\t\t\t\tcurrRowType = rowType;\n\t\t\t}\n\t\t\t// Is this a caption row?\n\t\t\tif(currRowType === \"c\") {\n\t\t\t\t// If so, move past the opening `|` of the row\n\t\t\t\tthis.parser.pos++;\n\t\t\t\t// Move the caption to the first row if it isn't already\n\t\t\t\tif(table.children.length !== 1) {\n\t\t\t\t\ttable.children.pop(); // Take rowContainer out of the children array\n\t\t\t\t\ttable.children.splice(0,0,rowContainer); // Insert it at the bottom\t\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\t// Set the alignment - TODO: figure out why TW did this\n//\t\t\t\trowContainer.attributes.align = rowCount === 0 ? \"top\" : \"bottom\";\n\t\t\t\t// Parse the caption\n\t\t\t\trowContainer.children = this.parser.parseInlineRun(rowTermRegExp,{eatTerminator: true});\n\t\t\t} else {\n\t\t\t\t// Create the row\n\t\t\t\tvar theRow = {type: \"element\", tag: \"tr\", children: []};\n\t\t\t\t$tw.utils.addClassToParseTreeNode(theRow,rowCount%2 ? \"oddRow\" : \"evenRow\");\n\t\t\t\trowContainer.children.push(theRow);\n\t\t\t\t// Process the row\n\t\t\t\ttheRow.children = processRow.call(this,prevColumns);\n\t\t\t\tthis.parser.pos = rowMatch.index + rowMatch[0].length;\n\t\t\t\t// Increment the row count\n\t\t\t\trowCount++;\n\t\t\t}\n\t\t}\n\t\trowMatch = rowRegExp.exec(this.parser.source);\n\t}\n\treturn [table];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/transcludeblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/transcludeblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/transcludeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for block-level transclusion. For example:\n\n```\n{{MyTiddler}}\n{{MyTiddler||TemplateTitle}}\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"transcludeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{([^\\{\\}\\|]*)(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}(?:\\r?\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar template = $tw.utils.trim(this.match[2]),\n\t\ttextRef = $tw.utils.trim(this.match[1]);\n\t// Prepare the transclude widget\n\tvar transcludeNode = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {},\n\t\t\tisBlock: true\n\t\t};\n\t// Prepare the tiddler widget\n\tvar tr, targetTitle, targetField, targetIndex, tiddlerNode;\n\tif(textRef) {\n\t\ttr = $tw.utils.parseTextReference(textRef);\n\t\ttargetTitle = tr.title;\n\t\ttargetField = tr.field;\n\t\ttargetIndex = tr.index;\n\t\ttiddlerNode = {\n\t\t\ttype: \"tiddler\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: targetTitle}\n\t\t\t},\n\t\t\tisBlock: true,\n\t\t\tchildren: [transcludeNode]\n\t\t};\n\t}\n\tif(template) {\n\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: template};\n\t\tif(textRef) {\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t} else {\n\t\tif(textRef) {\n\t\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: targetTitle};\n\t\t\tif(targetField) {\n\t\t\t\ttranscludeNode.attributes.field = {type: \"string\", value: targetField};\n\t\t\t}\n\t\t\tif(targetIndex) {\n\t\t\t\ttranscludeNode.attributes.index = {type: \"string\", value: targetIndex};\n\t\t\t}\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/transcludeinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/transcludeinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/transcludeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for inline-level transclusion. For example:\n\n```\n{{MyTiddler}}\n{{MyTiddler||TemplateTitle}}\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"transcludeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{([^\\{\\}\\|]*)(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar template = $tw.utils.trim(this.match[2]),\n\t\ttextRef = $tw.utils.trim(this.match[1]);\n\t// Prepare the transclude widget\n\tvar transcludeNode = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {}\n\t\t};\n\t// Prepare the tiddler widget\n\tvar tr, targetTitle, targetField, targetIndex, tiddlerNode;\n\tif(textRef) {\n\t\ttr = $tw.utils.parseTextReference(textRef);\n\t\ttargetTitle = tr.title;\n\t\ttargetField = tr.field;\n\t\ttargetIndex = tr.index;\n\t\ttiddlerNode = {\n\t\t\ttype: \"tiddler\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: targetTitle}\n\t\t\t},\n\t\t\tchildren: [transcludeNode]\n\t\t};\n\t}\n\tif(template) {\n\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: template};\n\t\tif(textRef) {\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t} else {\n\t\tif(textRef) {\n\t\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: targetTitle};\n\t\t\tif(targetField) {\n\t\t\t\ttranscludeNode.attributes.field = {type: \"string\", value: targetField};\n\t\t\t}\n\t\t\tif(targetIndex) {\n\t\t\t\ttranscludeNode.attributes.index = {type: \"string\", value: targetIndex};\n\t\t\t}\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/typedblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/typedblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/typedblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for typed blocks. For example:\n\n```\n$$$.js\nThis will be rendered as JavaScript\n$$$\n\n$$$.svg\n<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"150\" height=\"100\">\n <circle cx=\"100\" cy=\"50\" r=\"40\" stroke=\"black\" stroke-width=\"2\" fill=\"red\" />\n</svg>\n$$$\n\n$$$text/vnd.tiddlywiki>text/html\nThis will be rendered as an //HTML representation// of WikiText\n$$$\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.name = \"typedblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\$\\$\\$([^ >\\r\\n]*)(?: *> *([^ \\r\\n]+))?\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /\\r?\\n\\$\\$\\$\\r?(?:\\n|$)/mg;\n\t// Save the type\n\tvar parseType = this.match[1],\n\t\trenderType = this.match[2];\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Look for the end of the block\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the block\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\t// Parse the block according to the specified type\n\tvar parser = this.parser.wiki.parseText(parseType,text,{defaultType: \"text/plain\"});\n\t// If there's no render type, just return the parse tree\n\tif(!renderType) {\n\t\treturn parser.tree;\n\t} else {\n\t\t// Otherwise, render to the rendertype and return in a <PRE> tag\n\t\tvar widgetNode = this.parser.wiki.makeWidget(parser),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\ttext = renderType === \"text/html\" ? container.innerHTML : container.textContent;\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"pre\",\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: text\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/whitespace.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/whitespace.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/whitespace.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for whitespace specifications\n\n```\n\\whitespace trim\n\\whitespace notrim\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"whitespace\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\whitespace[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\tvar self = this;\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse whitespace delimited tokens terminated by a line break\n\tvar reMatch = /[^\\S\\n]*(\\S+)|(\\r?\\n)/mg,\n\t\ttokens = [];\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\twhile(match && match.index === this.parser.pos) {\n\t\tthis.parser.pos = reMatch.lastIndex;\n\t\t// Exit if we've got the line break\n\t\tif(match[2]) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the token\n\t\tif(match[1]) {\n\t\t\ttokens.push(match[1]);\n\t\t}\n\t\t// Match the next token\n\t\tmatch = reMatch.exec(this.parser.source);\n\t}\n\t// Process the tokens\n\t$tw.utils.each(tokens,function(token) {\n\t\tswitch(token) {\n\t\t\tcase \"trim\":\n\t\t\t\tself.parser.configTrimWhiteSpace = true;\n\t\t\t\tbreak;\n\t\t\tcase \"notrim\":\n\t\t\t\tself.parser.configTrimWhiteSpace = false;\n\t\t\t\tbreak;\n\t\t}\n\t});\n\t// No parse tree nodes to return\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/wikilink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/wikilink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikilink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for wiki links. For example:\n\n```\nAWikiLink\nAnotherLink\n~SuppressedLink\n```\n\nPrecede a camel case word with `~` to prevent it from being recognised as a link.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"wikilink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp($tw.config.textPrimitives.unWikiLink + \"?\" + $tw.config.textPrimitives.wikiLink,\"mg\");\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get the details of the match\n\tvar linkText = this.match[0];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// If the link starts with the unwikilink character then just output it as plain text\n\tif(linkText.substr(0,1) === $tw.config.textPrimitives.unWikiLink) {\n\t\treturn [{type: \"text\", text: linkText.substr(1)}];\n\t}\n\t// If the link has been preceded with a blocked letter then don't treat it as a link\n\tif(this.match.index > 0) {\n\t\tvar preRegExp = new RegExp($tw.config.textPrimitives.blockPrefixLetters,\"mg\");\n\t\tpreRegExp.lastIndex = this.match.index-1;\n\t\tvar preMatch = preRegExp.exec(this.parser.source);\n\t\tif(preMatch && preMatch.index === this.match.index-1) {\n\t\t\treturn [{type: \"text\", text: linkText}];\n\t\t}\n\t}\n\treturn [{\n\t\ttype: \"link\",\n\t\tattributes: {\n\t\t\tto: {type: \"string\", value: linkText}\n\t\t},\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: linkText\n\t\t}]\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/wikiparser.js": {
"title": "$:/core/modules/parsers/wikiparser/wikiparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/wikiparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe wiki text parser processes blocks of source text into a parse tree.\n\nThe parse tree is made up of nested arrays of these JavaScript objects:\n\n\t{type: \"element\", tag: <string>, attributes: {}, children: []} - an HTML element\n\t{type: \"text\", text: <string>} - a text node\n\t{type: \"entity\", value: <string>} - an entity\n\t{type: \"raw\", html: <string>} - raw HTML\n\nAttributes are stored as hashmaps of the following objects:\n\n\t{type: \"string\", value: <string>} - literal string\n\t{type: \"indirect\", textReference: <textReference>} - indirect through a text reference\n\t{type: \"macro\", macro: <TBD>} - indirect through a macro invocation\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar WikiParser = function(type,text,options) {\n\tthis.wiki = options.wiki;\n\tvar self = this;\n\t// Check for an externally linked tiddler\n\tif($tw.browser && (text || \"\") === \"\" && options._canonical_uri) {\n\t\tthis.loadRemoteTiddler(options._canonical_uri);\n\t\ttext = $tw.language.getRawString(\"LazyLoadingWarning\");\n\t}\n\t// Initialise the classes if we don't have them already\n\tif(!this.pragmaRuleClasses) {\n\t\tWikiParser.prototype.pragmaRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"pragma\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.pragmaRuleClasses,\"$:/config/WikiParserRules/Pragmas/\");\n\t}\n\tif(!this.blockRuleClasses) {\n\t\tWikiParser.prototype.blockRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"block\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.blockRuleClasses,\"$:/config/WikiParserRules/Block/\");\n\t}\n\tif(!this.inlineRuleClasses) {\n\t\tWikiParser.prototype.inlineRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"inline\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.inlineRuleClasses,\"$:/config/WikiParserRules/Inline/\");\n\t}\n\t// Save the parse text\n\tthis.type = type || \"text/vnd.tiddlywiki\";\n\tthis.source = text || \"\";\n\tthis.sourceLength = this.source.length;\n\t// Flag for ignoring whitespace\n\tthis.configTrimWhiteSpace = false;\n\t// Set current parse position\n\tthis.pos = 0;\n\t// Instantiate the pragma parse rules\n\tthis.pragmaRules = this.instantiateRules(this.pragmaRuleClasses,\"pragma\",0);\n\t// Instantiate the parser block and inline rules\n\tthis.blockRules = this.instantiateRules(this.blockRuleClasses,\"block\",0);\n\tthis.inlineRules = this.instantiateRules(this.inlineRuleClasses,\"inline\",0);\n\t// Parse any pragmas\n\tthis.tree = [];\n\tvar topBranch = this.parsePragmas();\n\t// Parse the text into inline runs or blocks\n\tif(options.parseAsInline) {\n\t\ttopBranch.push.apply(topBranch,this.parseInlineRun());\n\t} else {\n\t\ttopBranch.push.apply(topBranch,this.parseBlocks());\n\t}\n\t// Return the parse tree\n};\n\n/*\n*/\nWikiParser.prototype.loadRemoteTiddler = function(url) {\n\tvar self = this;\n\t$tw.utils.httpRequest({\n\t\turl: url,\n\t\ttype: \"GET\",\n\t\tcallback: function(err,data) {\n\t\t\tif(!err) {\n\t\t\t\tvar tiddlers = self.wiki.deserializeTiddlers(\".tid\",data,self.wiki.getCreationFields());\n\t\t\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\t\t\ttiddler[\"_canonical_uri\"] = url;\n\t\t\t\t});\n\t\t\t\tif(tiddlers) {\n\t\t\t\t\tself.wiki.addTiddlers(tiddlers);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\n*/\nWikiParser.prototype.setupRules = function(proto,configPrefix) {\n\tvar self = this;\n\tif(!$tw.safemode) {\n\t\t$tw.utils.each(proto,function(object,name) {\n\t\t\tif(self.wiki.getTiddlerText(configPrefix + name,\"enable\") !== \"enable\") {\n\t\t\t\tdelete proto[name];\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nInstantiate an array of parse rules\n*/\nWikiParser.prototype.instantiateRules = function(classes,type,startPos) {\n\tvar rulesInfo = [],\n\t\tself = this;\n\t$tw.utils.each(classes,function(RuleClass) {\n\t\t// Instantiate the rule\n\t\tvar rule = new RuleClass(self);\n\t\trule.is = {};\n\t\trule.is[type] = true;\n\t\trule.init(self);\n\t\tvar matchIndex = rule.findNextMatch(startPos);\n\t\tif(matchIndex !== undefined) {\n\t\t\trulesInfo.push({\n\t\t\t\trule: rule,\n\t\t\t\tmatchIndex: matchIndex\n\t\t\t});\n\t\t}\n\t});\n\treturn rulesInfo;\n};\n\n/*\nSkip any whitespace at the current position. Options are:\n\ttreatNewlinesAsNonWhitespace: true if newlines are NOT to be treated as whitespace\n*/\nWikiParser.prototype.skipWhitespace = function(options) {\n\toptions = options || {};\n\tvar whitespaceRegExp = options.treatNewlinesAsNonWhitespace ? /([^\\S\\n]+)/mg : /(\\s+)/mg;\n\twhitespaceRegExp.lastIndex = this.pos;\n\tvar whitespaceMatch = whitespaceRegExp.exec(this.source);\n\tif(whitespaceMatch && whitespaceMatch.index === this.pos) {\n\t\tthis.pos = whitespaceRegExp.lastIndex;\n\t}\n};\n\n/*\nGet the next match out of an array of parse rule instances\n*/\nWikiParser.prototype.findNextMatch = function(rules,startPos) {\n\t// Find the best matching rule by finding the closest match position\n\tvar matchingRule,\n\t\tmatchingRulePos = this.sourceLength;\n\t// Step through each rule\n\tfor(var t=0; t<rules.length; t++) {\n\t\tvar ruleInfo = rules[t];\n\t\t// Ask the rule to get the next match if we've moved past the current one\n\t\tif(ruleInfo.matchIndex !== undefined && ruleInfo.matchIndex < startPos) {\n\t\t\truleInfo.matchIndex = ruleInfo.rule.findNextMatch(startPos);\n\t\t}\n\t\t// Adopt this match if it's closer than the current best match\n\t\tif(ruleInfo.matchIndex !== undefined && ruleInfo.matchIndex <= matchingRulePos) {\n\t\t\tmatchingRule = ruleInfo;\n\t\t\tmatchingRulePos = ruleInfo.matchIndex;\n\t\t}\n\t}\n\treturn matchingRule;\n};\n\n/*\nParse any pragmas at the beginning of a block of parse text\n*/\nWikiParser.prototype.parsePragmas = function() {\n\tvar currentTreeBranch = this.tree;\n\twhile(true) {\n\t\t// Skip whitespace\n\t\tthis.skipWhitespace();\n\t\t// Check for the end of the text\n\t\tif(this.pos >= this.sourceLength) {\n\t\t\tbreak;\n\t\t}\n\t\t// Check if we've arrived at a pragma rule match\n\t\tvar nextMatch = this.findNextMatch(this.pragmaRules,this.pos);\n\t\t// If not, just exit\n\t\tif(!nextMatch || nextMatch.matchIndex !== this.pos) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the pragma rule\n\t\tvar subTree = nextMatch.rule.parse();\n\t\tif(subTree.length > 0) {\n\t\t\t// Quick hack; we only cope with a single parse tree node being returned, which is true at the moment\n\t\t\tcurrentTreeBranch.push.apply(currentTreeBranch,subTree);\n\t\t\tsubTree[0].children = [];\n\t\t\tcurrentTreeBranch = subTree[0].children;\n\t\t}\n\t}\n\treturn currentTreeBranch;\n};\n\n/*\nParse a block from the current position\n\tterminatorRegExpString: optional regular expression string that identifies the end of plain paragraphs. Must not include capturing parenthesis\n*/\nWikiParser.prototype.parseBlock = function(terminatorRegExpString) {\n\tvar terminatorRegExp = terminatorRegExpString ? new RegExp(\"(\" + terminatorRegExpString + \"|\\\\r?\\\\n\\\\r?\\\\n)\",\"mg\") : /(\\r?\\n\\r?\\n)/mg;\n\tthis.skipWhitespace();\n\tif(this.pos >= this.sourceLength) {\n\t\treturn [];\n\t}\n\t// Look for a block rule that applies at the current position\n\tvar nextMatch = this.findNextMatch(this.blockRules,this.pos);\n\tif(nextMatch && nextMatch.matchIndex === this.pos) {\n\t\treturn nextMatch.rule.parse();\n\t}\n\t// Treat it as a paragraph if we didn't find a block rule\n\treturn [{type: \"element\", tag: \"p\", children: this.parseInlineRun(terminatorRegExp)}];\n};\n\n/*\nParse a series of blocks of text until a terminating regexp is encountered or the end of the text\n\tterminatorRegExpString: terminating regular expression\n*/\nWikiParser.prototype.parseBlocks = function(terminatorRegExpString) {\n\tif(terminatorRegExpString) {\n\t\treturn this.parseBlocksTerminated(terminatorRegExpString);\n\t} else {\n\t\treturn this.parseBlocksUnterminated();\n\t}\n};\n\n/*\nParse a block from the current position to the end of the text\n*/\nWikiParser.prototype.parseBlocksUnterminated = function() {\n\tvar tree = [];\n\twhile(this.pos < this.sourceLength) {\n\t\ttree.push.apply(tree,this.parseBlock());\n\t}\n\treturn tree;\n};\n\n/*\nParse blocks of text until a terminating regexp is encountered\n*/\nWikiParser.prototype.parseBlocksTerminated = function(terminatorRegExpString) {\n\tvar terminatorRegExp = new RegExp(\"(\" + terminatorRegExpString + \")\",\"mg\"),\n\t\ttree = [];\n\t// Skip any whitespace\n\tthis.skipWhitespace();\n\t// Check if we've got the end marker\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar match = terminatorRegExp.exec(this.source);\n\t// Parse the text into blocks\n\twhile(this.pos < this.sourceLength && !(match && match.index === this.pos)) {\n\t\tvar blocks = this.parseBlock(terminatorRegExpString);\n\t\ttree.push.apply(tree,blocks);\n\t\t// Skip any whitespace\n\t\tthis.skipWhitespace();\n\t\t// Check if we've got the end marker\n\t\tterminatorRegExp.lastIndex = this.pos;\n\t\tmatch = terminatorRegExp.exec(this.source);\n\t}\n\tif(match && match.index === this.pos) {\n\t\tthis.pos = match.index + match[0].length;\n\t}\n\treturn tree;\n};\n\n/*\nParse a run of text at the current position\n\tterminatorRegExp: a regexp at which to stop the run\n\toptions: see below\nOptions available:\n\teatTerminator: move the parse position past any encountered terminator (default false)\n*/\nWikiParser.prototype.parseInlineRun = function(terminatorRegExp,options) {\n\tif(terminatorRegExp) {\n\t\treturn this.parseInlineRunTerminated(terminatorRegExp,options);\n\t} else {\n\t\treturn this.parseInlineRunUnterminated(options);\n\t}\n};\n\nWikiParser.prototype.parseInlineRunUnterminated = function(options) {\n\tvar tree = [];\n\t// Find the next occurrence of an inline rule\n\tvar nextMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t// Loop around the matches until we've reached the end of the text\n\twhile(this.pos < this.sourceLength && nextMatch) {\n\t\t// Process the text preceding the run rule\n\t\tif(nextMatch.matchIndex > this.pos) {\n\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,nextMatch.matchIndex));\n\t\t\tthis.pos = nextMatch.matchIndex;\n\t\t}\n\t\t// Process the run rule\n\t\ttree.push.apply(tree,nextMatch.rule.parse());\n\t\t// Look for the next run rule\n\t\tnextMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t}\n\t// Process the remaining text\n\tif(this.pos < this.sourceLength) {\n\t\tthis.pushTextWidget(tree,this.source.substr(this.pos));\n\t}\n\tthis.pos = this.sourceLength;\n\treturn tree;\n};\n\nWikiParser.prototype.parseInlineRunTerminated = function(terminatorRegExp,options) {\n\toptions = options || {};\n\tvar tree = [];\n\t// Find the next occurrence of the terminator\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar terminatorMatch = terminatorRegExp.exec(this.source);\n\t// Find the next occurrence of a inlinerule\n\tvar inlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t// Loop around until we've reached the end of the text\n\twhile(this.pos < this.sourceLength && (terminatorMatch || inlineRuleMatch)) {\n\t\t// Return if we've found the terminator, and it precedes any inline rule match\n\t\tif(terminatorMatch) {\n\t\t\tif(!inlineRuleMatch || inlineRuleMatch.matchIndex >= terminatorMatch.index) {\n\t\t\t\tif(terminatorMatch.index > this.pos) {\n\t\t\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,terminatorMatch.index));\n\t\t\t\t}\n\t\t\t\tthis.pos = terminatorMatch.index;\n\t\t\t\tif(options.eatTerminator) {\n\t\t\t\t\tthis.pos += terminatorMatch[0].length;\n\t\t\t\t}\n\t\t\t\treturn tree;\n\t\t\t}\n\t\t}\n\t\t// Process any inline rule, along with the text preceding it\n\t\tif(inlineRuleMatch) {\n\t\t\t// Preceding text\n\t\t\tif(inlineRuleMatch.matchIndex > this.pos) {\n\t\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,inlineRuleMatch.matchIndex));\n\t\t\t\tthis.pos = inlineRuleMatch.matchIndex;\n\t\t\t}\n\t\t\t// Process the inline rule\n\t\t\ttree.push.apply(tree,inlineRuleMatch.rule.parse());\n\t\t\t// Look for the next inline rule\n\t\t\tinlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t\t\t// Look for the next terminator match\n\t\t\tterminatorRegExp.lastIndex = this.pos;\n\t\t\tterminatorMatch = terminatorRegExp.exec(this.source);\n\t\t}\n\t}\n\t// Process the remaining text\n\tif(this.pos < this.sourceLength) {\n\t\tthis.pushTextWidget(tree,this.source.substr(this.pos));\n\t}\n\tthis.pos = this.sourceLength;\n\treturn tree;\n};\n\n/*\nPush a text widget onto an array, respecting the configTrimWhiteSpace setting\n*/\nWikiParser.prototype.pushTextWidget = function(array,text) {\n\tif(this.configTrimWhiteSpace) {\n\t\ttext = $tw.utils.trim(text);\n\t}\n\tif(text) {\n\t\tarray.push({type: \"text\", text: text});\t\t\n\t}\n};\n\n/*\nParse zero or more class specifiers `.classname`\n*/\nWikiParser.prototype.parseClasses = function() {\n\tvar classRegExp = /\\.([^\\s\\.]+)/mg,\n\t\tclassNames = [];\n\tclassRegExp.lastIndex = this.pos;\n\tvar match = classRegExp.exec(this.source);\n\twhile(match && match.index === this.pos) {\n\t\tthis.pos = match.index + match[0].length;\n\t\tclassNames.push(match[1]);\n\t\tmatch = classRegExp.exec(this.source);\n\t}\n\treturn classNames;\n};\n\n/*\nAmend the rules used by this instance of the parser\n\ttype: `only` keeps just the named rules, `except` keeps all but the named rules\n\tnames: array of rule names\n*/\nWikiParser.prototype.amendRules = function(type,names) {\n\tnames = names || [];\n\t// Define the filter function\n\tvar keepFilter;\n\tif(type === \"only\") {\n\t\tkeepFilter = function(name) {\n\t\t\treturn names.indexOf(name) !== -1;\n\t\t};\n\t} else if(type === \"except\") {\n\t\tkeepFilter = function(name) {\n\t\t\treturn names.indexOf(name) === -1;\n\t\t};\n\t} else {\n\t\treturn;\n\t}\n\t// Define a function to process each of our rule arrays\n\tvar processRuleArray = function(ruleArray) {\n\t\tfor(var t=ruleArray.length-1; t>=0; t--) {\n\t\t\tif(!keepFilter(ruleArray[t].rule.name)) {\n\t\t\t\truleArray.splice(t,1);\n\t\t\t}\n\t\t}\n\t};\n\t// Process each rule array\n\tprocessRuleArray(this.pragmaRules);\n\tprocessRuleArray(this.blockRules);\n\tprocessRuleArray(this.inlineRules);\n};\n\nexports[\"text/vnd.tiddlywiki\"] = WikiParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/wikiparser/rules/wikirulebase.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/wikirulebase.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikirulebase.js\ntype: application/javascript\nmodule-type: global\n\nBase class for wiki parser rules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nThis constructor is always overridden with a blank constructor, and so shouldn't be used\n*/\nvar WikiRuleBase = function() {\n};\n\n/*\nTo be overridden by individual rules\n*/\nWikiRuleBase.prototype.init = function(parser) {\n\tthis.parser = parser;\n};\n\n/*\nDefault implementation of findNextMatch uses RegExp matching\n*/\nWikiRuleBase.prototype.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\treturn this.match ? this.match.index : undefined;\n};\n\nexports.WikiRuleBase = WikiRuleBase;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/pluginswitcher.js": {
"title": "$:/core/modules/pluginswitcher.js",
"text": "/*\\\ntitle: $:/core/modules/pluginswitcher.js\ntype: application/javascript\nmodule-type: global\n\nManages switching plugins for themes and languages.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\noptions:\nwiki: wiki store to be used\npluginType: type of plugin to be switched\ncontrollerTitle: title of tiddler used to control switching of this resource\ndefaultPlugins: array of default plugins to be used if nominated plugin isn't found\nonSwitch: callback when plugin is switched (single parameter is array of plugin titles)\n*/\nfunction PluginSwitcher(options) {\n\tthis.wiki = options.wiki;\n\tthis.pluginType = options.pluginType;\n\tthis.controllerTitle = options.controllerTitle;\n\tthis.defaultPlugins = options.defaultPlugins || [];\n\tthis.onSwitch = options.onSwitch;\n\t// Switch to the current plugin\n\tthis.switchPlugins();\n\t// Listen for changes to the selected plugin\n\tvar self = this;\n\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,self.controllerTitle)) {\n\t\t\tself.switchPlugins();\n\t\t}\n\t});\n}\n\nPluginSwitcher.prototype.switchPlugins = function() {\n\t// Get the name of the current theme\n\tvar selectedPluginTitle = this.wiki.getTiddlerText(this.controllerTitle);\n\t// If it doesn't exist, then fallback to one of the default themes\n\tvar index = 0;\n\twhile(!this.wiki.getTiddler(selectedPluginTitle) && index < this.defaultPlugins.length) {\n\t\tselectedPluginTitle = this.defaultPlugins[index++];\n\t}\n\t// Accumulate the titles of the plugins that we need to load\n\tvar plugins = [],\n\t\tself = this,\n\t\taccumulatePlugin = function(title) {\n\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\tif(tiddler && tiddler.isPlugin() && plugins.indexOf(title) === -1) {\n\t\t\t\tplugins.push(title);\n\t\t\t\tvar pluginInfo = JSON.parse(self.wiki.getTiddlerText(title)),\n\t\t\t\t\tdependents = $tw.utils.parseStringArray(tiddler.fields.dependents || \"\");\n\t\t\t\t$tw.utils.each(dependents,function(title) {\n\t\t\t\t\taccumulatePlugin(title);\n\t\t\t\t});\n\t\t\t}\n\t\t};\n\taccumulatePlugin(selectedPluginTitle);\n\t// Read the plugin info for the incoming plugins\n\tvar changes = $tw.wiki.readPluginInfo(plugins);\n\t// Unregister any existing theme tiddlers\n\tvar unregisteredTiddlers = $tw.wiki.unregisterPluginTiddlers(this.pluginType);\n\t// Register any new theme tiddlers\n\tvar registeredTiddlers = $tw.wiki.registerPluginTiddlers(this.pluginType,plugins);\n\t// Unpack the current theme tiddlers\n\t$tw.wiki.unpackPluginTiddlers();\n\t// Call the switch handler\n\tif(this.onSwitch) {\n\t\tthis.onSwitch(plugins);\n\t}\n};\n\nexports.PluginSwitcher = PluginSwitcher;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/saver-handler.js": {
"title": "$:/core/modules/saver-handler.js",
"text": "/*\\\ntitle: $:/core/modules/saver-handler.js\ntype: application/javascript\nmodule-type: global\n\nThe saver handler tracks changes to the store and handles saving the entire wiki via saver modules.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInstantiate the saver handler with the following options:\nwiki: wiki to be synced\ndirtyTracking: true if dirty tracking should be performed\n*/\nfunction SaverHandler(options) {\n\tvar self = this;\n\tthis.wiki = options.wiki;\n\tthis.dirtyTracking = options.dirtyTracking;\n\tthis.preloadDirty = options.preloadDirty || [];\n\tthis.pendingAutoSave = false;\n\t// Make a logger\n\tthis.logger = new $tw.utils.Logger(\"saver-handler\");\n\t// Initialise our savers\n\tif($tw.browser) {\n\t\tthis.initSavers();\n\t}\n\t// Only do dirty tracking if required\n\tif($tw.browser && this.dirtyTracking) {\n\t\t// Compile the dirty tiddler filter\n\t\tthis.filterFn = this.wiki.compileFilter(this.wiki.getTiddlerText(this.titleSyncFilter));\n\t\t// Count of changes that have not yet been saved\n\t\tvar filteredChanges = self.filterFn.call(self.wiki,function(iterator) {\n\t\t\t\t$tw.utils.each(self.preloadDirty,function(title) {\n\t\t\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\t\t\titerator(tiddler,title);\n\t\t\t\t});\n\t\t});\n\t\tthis.numChanges = filteredChanges.length;\n\t\t// Listen out for changes to tiddlers\n\t\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\t\t// Filter the changes so that we only count changes to tiddlers that we care about\n\t\t\tvar filteredChanges = self.filterFn.call(self.wiki,function(iterator) {\n\t\t\t\t$tw.utils.each(changes,function(change,title) {\n\t\t\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\t\t\titerator(tiddler,title);\n\t\t\t\t});\n\t\t\t});\n\t\t\t// Adjust the number of changes\n\t\t\tself.numChanges += filteredChanges.length;\n\t\t\tself.updateDirtyStatus();\n\t\t\t// Do any autosave if one is pending and there's no more change events\n\t\t\tif(self.pendingAutoSave && self.wiki.getSizeOfTiddlerEventQueue() === 0) {\n\t\t\t\t// Check if we're dirty\n\t\t\t\tif(self.numChanges > 0) {\n\t\t\t\t\tself.saveWiki({\n\t\t\t\t\t\tmethod: \"autosave\",\n\t\t\t\t\t\tdownloadType: \"text/plain\"\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tself.pendingAutoSave = false;\n\t\t\t}\n\t\t});\n\t\t// Listen for the autosave event\n\t\t$tw.rootWidget.addEventListener(\"tm-auto-save-wiki\",function(event) {\n\t\t\t// Do the autosave unless there are outstanding tiddler change events\n\t\t\tif(self.wiki.getSizeOfTiddlerEventQueue() === 0) {\n\t\t\t\t// Check if we're dirty\n\t\t\t\tif(self.numChanges > 0) {\n\t\t\t\t\tself.saveWiki({\n\t\t\t\t\t\tmethod: \"autosave\",\n\t\t\t\t\t\tdownloadType: \"text/plain\"\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// Otherwise put ourselves in the \"pending autosave\" state and wait for the change event before we do the autosave\n\t\t\t\tself.pendingAutoSave = true;\n\t\t\t}\n\t\t});\n\t\t// Set up our beforeunload handler\n\t\t$tw.addUnloadTask(function(event) {\n\t\t\tvar confirmationMessage;\n\t\t\tif(self.isDirty()) {\n\t\t\t\tconfirmationMessage = $tw.language.getString(\"UnsavedChangesWarning\");\n\t\t\t\tevent.returnValue = confirmationMessage; // Gecko\n\t\t\t}\n\t\t\treturn confirmationMessage;\n\t\t});\n\t}\n\t// Install the save action handlers\n\tif($tw.browser) {\n\t\t$tw.rootWidget.addEventListener(\"tm-save-wiki\",function(event) {\n\t\t\tself.saveWiki({\n\t\t\t\ttemplate: event.param,\n\t\t\t\tdownloadType: \"text/plain\",\n\t\t\t\tvariables: event.paramObject\n\t\t\t});\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-download-file\",function(event) {\n\t\t\tself.saveWiki({\n\t\t\t\tmethod: \"download\",\n\t\t\t\ttemplate: event.param,\n\t\t\t\tdownloadType: \"text/plain\",\n\t\t\t\tvariables: event.paramObject\n\t\t\t});\n\t\t});\n\t}\n}\n\nSaverHandler.prototype.titleSyncFilter = \"$:/config/SaverFilter\";\nSaverHandler.prototype.titleAutoSave = \"$:/config/AutoSave\";\nSaverHandler.prototype.titleSavedNotification = \"$:/language/Notifications/Save/Done\";\n\n/*\nSelect the appropriate saver modules and set them up\n*/\nSaverHandler.prototype.initSavers = function(moduleType) {\n\tmoduleType = moduleType || \"saver\";\n\t// Instantiate the available savers\n\tthis.savers = [];\n\tvar self = this;\n\t$tw.modules.forEachModuleOfType(moduleType,function(title,module) {\n\t\tif(module.canSave(self)) {\n\t\t\tself.savers.push(module.create(self.wiki));\n\t\t}\n\t});\n\t// Sort the savers into priority order\n\tthis.savers.sort(function(a,b) {\n\t\tif(a.info.priority < b.info.priority) {\n\t\t\treturn -1;\n\t\t} else {\n\t\t\tif(a.info.priority > b.info.priority) {\n\t\t\t\treturn +1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nSave the wiki contents. Options are:\n\tmethod: \"save\", \"autosave\" or \"download\"\n\ttemplate: the tiddler containing the template to save\n\tdownloadType: the content type for the saved file\n*/\nSaverHandler.prototype.saveWiki = function(options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tmethod = options.method || \"save\";\n\t// Ignore autosave if disabled\n\tif(method === \"autosave\" && this.wiki.getTiddlerText(this.titleAutoSave,\"yes\") !== \"yes\") {\n\t\treturn false;\n\t}\n\tvar\tvariables = options.variables || {},\n\t\ttemplate = options.template || \"$:/core/save/all\",\n\t\tdownloadType = options.downloadType || \"text/plain\",\n\t\ttext = this.wiki.renderTiddler(downloadType,template,options),\n\t\tcallback = function(err) {\n\t\t\tif(err) {\n\t\t\t\talert($tw.language.getString(\"Error/WhileSaving\") + \":\\n\\n\" + err);\n\t\t\t} else {\n\t\t\t\t// Clear the task queue if we're saving (rather than downloading)\n\t\t\t\tif(method !== \"download\") {\n\t\t\t\t\tself.numChanges = 0;\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t}\n\t\t\t\t$tw.notifier.display(self.titleSavedNotification);\n\t\t\t\tif(options.callback) {\n\t\t\t\t\toptions.callback();\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t// Call the highest priority saver that supports this method\n\tfor(var t=this.savers.length-1; t>=0; t--) {\n\t\tvar saver = this.savers[t];\n\t\tif(saver.info.capabilities.indexOf(method) !== -1 && saver.save(text,method,callback,{variables: {filename: variables.filename}})) {\n\t\t\tthis.logger.log(\"Saving wiki with method\",method,\"through saver\",saver.info.name);\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nChecks whether the wiki is dirty (ie the window shouldn't be closed)\n*/\nSaverHandler.prototype.isDirty = function() {\n\treturn this.numChanges > 0;\n};\n\n/*\nUpdate the document body with the class \"tc-dirty\" if the wiki has unsaved/unsynced changes\n*/\nSaverHandler.prototype.updateDirtyStatus = function() {\n\tif($tw.browser) {\n\t\t$tw.utils.toggleClass(document.body,\"tc-dirty\",this.isDirty());\n\t}\n};\n\nexports.SaverHandler = SaverHandler;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/savers/andtidwiki.js": {
"title": "$:/core/modules/savers/andtidwiki.js",
"text": "/*\\\ntitle: $:/core/modules/savers/andtidwiki.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the AndTidWiki Android app\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar AndTidWiki = function(wiki) {\n};\n\nAndTidWiki.prototype.save = function(text,method,callback,options) {\n\tvar filename = options && options.variables ? options.variables.filename : null;\n\tif (method === \"download\") {\n\t\t// Support download\n\t\tif (window.twi.saveDownload) {\n\t\t\ttry {\n\t\t\t\twindow.twi.saveDownload(text,filename);\n\t\t\t} catch(err) {\n\t\t\t\tif (err.message === \"Method not found\") {\n\t\t\t\t\twindow.twi.saveDownload(text);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tvar link = document.createElement(\"a\");\n\t\t\tlink.setAttribute(\"href\",\"data:text/plain,\" + encodeURIComponent(text));\n\t\t\tif (filename) {\n\t\t\t link.setAttribute(\"download\",filename);\n\t\t\t}\n\t\t\tdocument.body.appendChild(link);\n\t\t\tlink.click();\n\t\t\tdocument.body.removeChild(link);\n\t\t}\n\t} else if (window.twi.saveWiki) {\n\t\t// Direct save in Tiddloid\n\t\twindow.twi.saveWiki(text);\n\t} else {\n\t\t// Get the pathname of this document\n\t\tvar pathname = decodeURIComponent(document.location.toString().split(\"#\")[0]);\n\t\t// Strip the file://\n\t\tif(pathname.indexOf(\"file://\") === 0) {\n\t\t\tpathname = pathname.substr(7);\n\t\t}\n\t\t// Strip any query or location part\n\t\tvar p = pathname.indexOf(\"?\");\n\t\tif(p !== -1) {\n\t\t\tpathname = pathname.substr(0,p);\n\t\t}\n\t\tp = pathname.indexOf(\"#\");\n\t\tif(p !== -1) {\n\t\t\tpathname = pathname.substr(0,p);\n\t\t}\n\t\t// Save the file\n\t\twindow.twi.saveFile(pathname,text);\n\t}\n\t// Call the callback\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nAndTidWiki.prototype.info = {\n\tname: \"andtidwiki\",\n\tpriority: 1600,\n\tcapabilities: [\"save\", \"autosave\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.twi && !!window.twi.saveFile;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new AndTidWiki(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/beaker.js": {
"title": "$:/core/modules/savers/beaker.js",
"text": "/*\\\ntitle: $:/core/modules/savers/beaker.js\ntype: application/javascript\nmodule-type: saver\n\nSaves files using the Beaker browser's (https://beakerbrowser.com) Dat protocol (https://datproject.org/)\nCompatible with beaker >= V0.7.2\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSet up the saver\n*/\nvar BeakerSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nBeakerSaver.prototype.save = function(text,method,callback) {\n\tvar dat = new DatArchive(\"\" + window.location),\n\t\tpathname = (\"\" + window.location.pathname).split(\"#\")[0];\n\tdat.stat(pathname).then(function(value) {\n\t\tif(value.isDirectory()) {\n\t\t\tpathname = pathname + \"/index.html\";\n\t\t}\n\t\tdat.writeFile(pathname,text,\"utf8\").then(function(value) {\n\t\t\tcallback(null);\n\t\t},function(reason) {\n\t\t\tcallback(\"Beaker Saver Write Error: \" + reason);\n\t\t});\n\t},function(reason) {\n\t\tcallback(\"Beaker Saver Stat Error: \" + reason);\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nBeakerSaver.prototype.info = {\n\tname: \"beaker\",\n\tpriority: 3000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.DatArchive && location.protocol===\"dat:\";\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new BeakerSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/download.js": {
"title": "$:/core/modules/savers/download.js",
"text": "/*\\\ntitle: $:/core/modules/savers/download.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via HTML5's download APIs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar DownloadSaver = function(wiki) {\n};\n\nDownloadSaver.prototype.save = function(text,method,callback,options) {\n\toptions = options || {};\n\t// Get the current filename\n\tvar filename = options.variables.filename;\n\tif(!filename) {\n\t\tvar p = document.location.pathname.lastIndexOf(\"/\");\n\t\tif(p !== -1) {\n\t\t\t// We decode the pathname because document.location is URL encoded by the browser\n\t\t\tfilename = decodeURIComponent(document.location.pathname.substr(p+1));\n\t\t}\n\t}\n\tif(!filename) {\n\t\tfilename = \"tiddlywiki.html\";\n\t}\n\t// Set up the link\n\tvar link = document.createElement(\"a\");\n\tif(Blob !== undefined) {\n\t\tvar blob = new Blob([text], {type: \"text/html\"});\n\t\tlink.setAttribute(\"href\", URL.createObjectURL(blob));\n\t} else {\n\t\tlink.setAttribute(\"href\",\"data:text/html,\" + encodeURIComponent(text));\n\t}\n\tlink.setAttribute(\"download\",filename);\n\tdocument.body.appendChild(link);\n\tlink.click();\n\tdocument.body.removeChild(link);\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nDownloadSaver.prototype.info = {\n\tname: \"download\",\n\tpriority: 100\n};\n\nObject.defineProperty(DownloadSaver.prototype.info, \"capabilities\", {\n\tget: function() {\n\t\tvar capabilities = [\"save\", \"download\"];\n\t\tif(($tw.wiki.getTextReference(\"$:/config/DownloadSaver/AutoSave\") || \"\").toLowerCase() === \"yes\") {\n\t\t\tcapabilities.push(\"autosave\");\n\t\t}\n\t\treturn capabilities;\n\t}\n});\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn document.createElement(\"a\").download !== undefined;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new DownloadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/fsosaver.js": {
"title": "$:/core/modules/savers/fsosaver.js",
"text": "/*\\\ntitle: $:/core/modules/savers/fsosaver.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via MS FileSystemObject ActiveXObject\n\nNote: Since TiddlyWiki's markup contains the MOTW, the FileSystemObject normally won't be available. \nHowever, if the wiki is loaded as an .HTA file (Windows HTML Applications) then the FSO can be used.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar FSOSaver = function(wiki) {\n};\n\nFSOSaver.prototype.save = function(text,method,callback) {\n\t// Get the pathname of this document\n\tvar pathname = unescape(document.location.pathname);\n\t// Test for a Windows path of the form /x:\\blah...\n\tif(/^\\/[A-Z]\\:\\\\[^\\\\]+/i.test(pathname)) {\t// ie: ^/[a-z]:/[^/]+\n\t\t// Remove the leading slash\n\t\tpathname = pathname.substr(1);\n\t} else if(document.location.hostname !== \"\" && /^\\/\\\\[^\\\\]+\\\\[^\\\\]+/i.test(pathname)) {\t// test for \\\\server\\share\\blah... - ^/[^/]+/[^/]+\n\t\t// Remove the leading slash\n\t\tpathname = pathname.substr(1);\n\t\t// reconstruct UNC path\n\t\tpathname = \"\\\\\\\\\" + document.location.hostname + pathname;\n\t} else {\n\t\treturn false;\n\t}\n\t// Save the file (as UTF-16)\n\tvar fso = new ActiveXObject(\"Scripting.FileSystemObject\");\n\tvar file = fso.OpenTextFile(pathname,2,-1,-1);\n\tfile.Write(text);\n\tfile.Close();\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nFSOSaver.prototype.info = {\n\tname: \"FSOSaver\",\n\tpriority: 120,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\ttry {\n\t\treturn (window.location.protocol === \"file:\") && !!(new ActiveXObject(\"Scripting.FileSystemObject\"));\n\t} catch(e) { return false; }\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new FSOSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/gitea.js": {
"title": "$:/core/modules/savers/gitea.js",
"text": "/*\\\ntitle: $:/core/modules/savers/gitea.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the gitea\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GiteaSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGiteaSaver.prototype.save = function(text,method,callback) {\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/Gitea/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"Gitea\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/Gitea/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/Gitea/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/Gitea/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/Gitea/Branch\") || \"master\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/Gitea/ServerURL\") || \"https://gitea\",\n\t\theaders = {\n\t\t\t\"Accept\": \"application/json\",\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Authorization\": \"Basic \" + window.btoa(username + \":\" + password)\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !path || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/repos/\" + repo + \"/contents\" + path;\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tdata: {\n\t\t\tref: branch\n\t\t},\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar use_put = true;\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = JSON.parse(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tif(sha === \"\"){\n\t\t\t\t\tuse_put = false;\n\t\t\t\t}\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tmessage: $tw.language.getRawString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: $tw.utils.base64Encode(text),\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: endpoint + \"/repos/\" + repo + \"/branches/\" + branch,\n\t\t\t\ttype: \"GET\",\n\t\t\t\theaders: headers,\n\t\t\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\t\t\tif(xhr.status === 404) {\n\t\t\t\t\t\tcallback(\"Please ensure the branch in the Gitea repo exists\");\n\t\t\t\t\t}else{\n\t\t\t\t\t\tdata[\"branch\"] = branch;\n\t\t\t\t\t\tself.upload(uri + filename, use_put?\"PUT\":\"POST\", headers, data, callback);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\nGiteaSaver.prototype.upload = function(uri,method,headers,data,callback) {\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: method,\n\t\theaders: headers,\n\t\tdata: JSON.stringify(data),\n\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar putResponseData = JSON.parse(putResponseDataJson);\n\t\t\tcallback(null);\n\t\t}\n\t});\n};\n\n/*\nInformation about this saver\n*/\nGiteaSaver.prototype.info = {\n\tname: \"Gitea\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GiteaSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/github.js": {
"title": "$:/core/modules/savers/github.js",
"text": "/*\\\ntitle: $:/core/modules/savers/github.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the GitHub v3 REST API\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GitHubSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGitHubSaver.prototype.save = function(text,method,callback) {\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/GitHub/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"github\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/GitHub/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/GitHub/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/GitHub/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/GitHub/Branch\") || \"master\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/GitHub/ServerURL\") || \"https://api.github.com\",\n\t\theaders = {\n\t\t\t\"Accept\": \"application/vnd.github.v3+json\",\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Authorization\": \"Basic \" + window.btoa(username + \":\" + password)\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !path || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/repos/\" + repo + \"/contents\" + path;\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tdata: {\n\t\t\tref: branch\n\t\t},\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = JSON.parse(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tmessage: $tw.language.getRawString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: $tw.utils.base64Encode(text),\n\t\t\t\tbranch: branch,\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t// Perform a PUT request to save the file\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: uri + filename,\n\t\t\t\ttype: \"PUT\",\n\t\t\t\theaders: headers,\n\t\t\t\tdata: JSON.stringify(data),\n\t\t\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\treturn callback(err);\n\t\t\t\t\t}\n\t\t\t\t\tvar putResponseData = JSON.parse(putResponseDataJson);\n\t\t\t\t\tcallback(null);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nGitHubSaver.prototype.info = {\n\tname: \"github\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GitHubSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/gitlab.js": {
"title": "$:/core/modules/savers/gitlab.js",
"text": "/*\\\ntitle: $:/core/modules/savers/gitlab.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the GitLab REST API\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: true */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GitLabSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGitLabSaver.prototype.save = function(text,method,callback) {\n\t/* See https://docs.gitlab.com/ee/api/repository_files.html */\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/GitLab/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"gitlab\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/GitLab/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/GitLab/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/GitLab/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/GitLab/Branch\") || \"master\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/GitLab/ServerURL\") || \"https://gitlab.com/api/v4\",\n\t\theaders = {\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Private-Token\": password\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !path || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/projects/\" + encodeURIComponent(repo) + \"/repository/\";\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri + \"tree/?path=\" + encodeURIComponent(path.replace(/^\\/+|\\/$/g, '')) + \"&branch=\" + encodeURIComponent(branch.replace(/^\\/+|\\/$/g, '')),\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar requestType = \"POST\";\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = JSON.parse(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\trequestType = \"PUT\";\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tcommit_message: $tw.language.getRawString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: text,\n\t\t\t\tbranch: branch,\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t// Perform a request to save the file\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: uri + \"files/\" + encodeURIComponent(path.replace(/^\\/+/, '') + filename),\n\t\t\t\ttype: requestType,\n\t\t\t\theaders: headers,\n\t\t\t\tdata: JSON.stringify(data),\n\t\t\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\treturn callback(err);\n\t\t\t\t\t}\n\t\t\t\t\tvar putResponseData = JSON.parse(putResponseDataJson);\n\t\t\t\t\tcallback(null);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nGitLabSaver.prototype.info = {\n\tname: \"gitlab\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GitLabSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/manualdownload.js": {
"title": "$:/core/modules/savers/manualdownload.js",
"text": "/*\\\ntitle: $:/core/modules/savers/manualdownload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via HTML5's download APIs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Title of the tiddler containing the download message\nvar downloadInstructionsTitle = \"$:/language/Modals/Download\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar ManualDownloadSaver = function(wiki) {\n};\n\nManualDownloadSaver.prototype.save = function(text,method,callback) {\n\t$tw.modal.display(downloadInstructionsTitle,{\n\t\tdownloadLink: \"data:text/html,\" + encodeURIComponent(text)\n\t});\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nManualDownloadSaver.prototype.info = {\n\tname: \"manualdownload\",\n\tpriority: 0,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new ManualDownloadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/msdownload.js": {
"title": "$:/core/modules/savers/msdownload.js",
"text": "/*\\\ntitle: $:/core/modules/savers/msdownload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via window.navigator.msSaveBlob()\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar MsDownloadSaver = function(wiki) {\n};\n\nMsDownloadSaver.prototype.save = function(text,method,callback) {\n\t// Get the current filename\n\tvar filename = \"tiddlywiki.html\",\n\t\tp = document.location.pathname.lastIndexOf(\"/\");\n\tif(p !== -1) {\n\t\tfilename = document.location.pathname.substr(p+1);\n\t}\n\t// Set up the link\n\tvar blob = new Blob([text], {type: \"text/html\"});\n\twindow.navigator.msSaveBlob(blob,filename);\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nMsDownloadSaver.prototype.info = {\n\tname: \"msdownload\",\n\tpriority: 110,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.navigator.msSaveBlob;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new MsDownloadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/put.js": {
"title": "$:/core/modules/savers/put.js",
"text": "/*\\\ntitle: $:/core/modules/savers/put.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by performing a PUT request to the server\n\nWorks with any server which accepts a PUT request\nto the current URL, such as a WebDAV server.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRetrieve ETag if available\n*/\nvar retrieveETag = function(self) {\n\tvar headers = {\n\t\tAccept: \"*/*;charset=UTF-8\"\n\t};\n\t$tw.utils.httpRequest({\n\t\turl: self.uri(),\n\t\ttype: \"HEAD\",\n\t\theaders: headers,\n\t\tcallback: function(err,data,xhr) {\n\t\t\tif(err) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tvar etag = xhr.getResponseHeader(\"ETag\");\n\t\t\tif(!etag) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tself.etag = etag.replace(/^W\\//,\"\");\n\t\t}\n\t});\n};\n\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar PutSaver = function(wiki) {\n\tthis.wiki = wiki;\n\tvar self = this;\n\tvar uri = this.uri();\n\t// Async server probe. Until probe finishes, save will fail fast\n\t// See also https://github.com/Jermolene/TiddlyWiki5/issues/2276\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"OPTIONS\",\n\t\tcallback: function(err,data,xhr) {\n\t\t\t// Check DAV header http://www.webdav.org/specs/rfc2518.html#rfc.section.9.1\n\t\t\tif(!err) {\n\t\t\t\tself.serverAcceptsPuts = xhr.status === 200 && !!xhr.getResponseHeader(\"dav\");\n\t\t\t}\n\t\t}\n\t});\n\tretrieveETag(this);\n};\n\nPutSaver.prototype.uri = function() {\n\treturn document.location.toString().split(\"#\")[0];\n};\n\n// TODO: in case of edit conflict\n// Prompt: Do you want to save over this? Y/N\n// Merging would be ideal, and may be possible using future generic merge flow\nPutSaver.prototype.save = function(text,method,callback) {\n\tif(!this.serverAcceptsPuts) {\n\t\treturn false;\n\t}\n\tvar self = this;\n\tvar headers = {\n\t\t\"Content-Type\": \"text/html;charset=UTF-8\"\n\t};\n\tif(this.etag) {\n\t\theaders[\"If-Match\"] = this.etag;\n\t}\n\t$tw.utils.httpRequest({\n\t\turl: this.uri(),\n\t\ttype: \"PUT\",\n\t\theaders: headers,\n\t\tdata: text,\n\t\tcallback: function(err,data,xhr) {\n\t\t\tif(err) {\n\t\t\t\t// response is textual: \"XMLHttpRequest error code: 412\"\n\t\t\t\tvar status = Number(err.substring(err.indexOf(':') + 2, err.length))\n\t\t\t\tif(status === 412) { // edit conflict\n\t\t\t\t\tvar message = $tw.language.getString(\"Error/EditConflict\");\n\t\t\t\t\tcallback(message);\n\t\t\t\t} else {\n\t\t\t\t\tcallback(err); // fail\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tself.etag = xhr.getResponseHeader(\"ETag\");\n\t\t\t\tif(self.etag == null) {\n\t\t\t\t\tretrieveETag(self);\n\t\t\t\t}\n\t\t\t\tcallback(null); // success\n\t\t\t}\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nPutSaver.prototype.info = {\n\tname: \"put\",\n\tpriority: 2000,\n\tcapabilities: [\"save\",\"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn /^https?:/.test(location.protocol);\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new PutSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/tiddlyfox.js": {
"title": "$:/core/modules/savers/tiddlyfox.js",
"text": "/*\\\ntitle: $:/core/modules/savers/tiddlyfox.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the TiddlyFox file extension\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar TiddlyFoxSaver = function(wiki) {\n};\n\nTiddlyFoxSaver.prototype.save = function(text,method,callback) {\n\tvar messageBox = document.getElementById(\"tiddlyfox-message-box\");\n\tif(messageBox) {\n\t\t// Get the pathname of this document\n\t\tvar pathname = document.location.toString().split(\"#\")[0];\n\t\t// Replace file://localhost/ with file:///\n\t\tif(pathname.indexOf(\"file://localhost/\") === 0) {\n\t\t\tpathname = \"file://\" + pathname.substr(16);\n\t\t}\n\t\t// Windows path file:///x:/blah/blah --> x:\\blah\\blah\n\t\tif(/^file\\:\\/\\/\\/[A-Z]\\:\\//i.test(pathname)) {\n\t\t\t// Remove the leading slash and convert slashes to backslashes\n\t\t\tpathname = pathname.substr(8).replace(/\\//g,\"\\\\\");\n\t\t// Firefox Windows network path file://///server/share/blah/blah --> //server/share/blah/blah\n\t\t} else if(pathname.indexOf(\"file://///\") === 0) {\n\t\t\tpathname = \"\\\\\\\\\" + unescape(pathname.substr(10)).replace(/\\//g,\"\\\\\");\n\t\t// Mac/Unix local path file:///path/path --> /path/path\n\t\t} else if(pathname.indexOf(\"file:///\") === 0) {\n\t\t\tpathname = unescape(pathname.substr(7));\n\t\t// Mac/Unix local path file:/path/path --> /path/path\n\t\t} else if(pathname.indexOf(\"file:/\") === 0) {\n\t\t\tpathname = unescape(pathname.substr(5));\n\t\t// Otherwise Windows networth path file://server/share/path/path --> \\\\server\\share\\path\\path\n\t\t} else {\n\t\t\tpathname = \"\\\\\\\\\" + unescape(pathname.substr(7)).replace(new RegExp(\"/\",\"g\"),\"\\\\\");\n\t\t}\n\t\t// Create the message element and put it in the message box\n\t\tvar message = document.createElement(\"div\");\n\t\tmessage.setAttribute(\"data-tiddlyfox-path\",decodeURIComponent(pathname));\n\t\tmessage.setAttribute(\"data-tiddlyfox-content\",text);\n\t\tmessageBox.appendChild(message);\n\t\t// Add an event handler for when the file has been saved\n\t\tmessage.addEventListener(\"tiddlyfox-have-saved-file\",function(event) {\n\t\t\tcallback(null);\n\t\t}, false);\n\t\t// Create and dispatch the custom event to the extension\n\t\tvar event = document.createEvent(\"Events\");\n\t\tevent.initEvent(\"tiddlyfox-save-file\",true,false);\n\t\tmessage.dispatchEvent(event);\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nInformation about this saver\n*/\nTiddlyFoxSaver.prototype.info = {\n\tname: \"tiddlyfox\",\n\tpriority: 1500,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TiddlyFoxSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/tiddlyie.js": {
"title": "$:/core/modules/savers/tiddlyie.js",
"text": "/*\\\ntitle: $:/core/modules/savers/tiddlyie.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via Internet Explorer BHO extenion (TiddlyIE)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar TiddlyIESaver = function(wiki) {\n};\n\nTiddlyIESaver.prototype.save = function(text,method,callback) {\n\t// Check existence of TiddlyIE BHO extension (note: only works after document is complete)\n\tif(typeof(window.TiddlyIE) != \"undefined\") {\n\t\t// Get the pathname of this document\n\t\tvar pathname = unescape(document.location.pathname);\n\t\t// Test for a Windows path of the form /x:/blah...\n\t\tif(/^\\/[A-Z]\\:\\/[^\\/]+/i.test(pathname)) {\t// ie: ^/[a-z]:/[^/]+ (is this better?: ^/[a-z]:/[^/]+(/[^/]+)*\\.[^/]+ )\n\t\t\t// Remove the leading slash\n\t\t\tpathname = pathname.substr(1);\n\t\t\t// Convert slashes to backslashes\n\t\t\tpathname = pathname.replace(/\\//g,\"\\\\\");\n\t\t} else if(document.hostname !== \"\" && /^\\/[^\\/]+\\/[^\\/]+/i.test(pathname)) {\t// test for \\\\server\\share\\blah... - ^/[^/]+/[^/]+\n\t\t\t// Convert slashes to backslashes\n\t\t\tpathname = pathname.replace(/\\//g,\"\\\\\");\n\t\t\t// reconstruct UNC path\n\t\t\tpathname = \"\\\\\\\\\" + document.location.hostname + pathname;\n\t\t} else return false;\n\t\t// Prompt the user to save the file\n\t\twindow.TiddlyIE.save(pathname, text);\n\t\t// Callback that we succeeded\n\t\tcallback(null);\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nInformation about this saver\n*/\nTiddlyIESaver.prototype.info = {\n\tname: \"tiddlyiesaver\",\n\tpriority: 1500,\n\tcapabilities: [\"save\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn (window.location.protocol === \"file:\");\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TiddlyIESaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/twedit.js": {
"title": "$:/core/modules/savers/twedit.js",
"text": "/*\\\ntitle: $:/core/modules/savers/twedit.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the TWEdit iOS app\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar TWEditSaver = function(wiki) {\n};\n\nTWEditSaver.prototype.save = function(text,method,callback) {\n\t// Bail if we're not running under TWEdit\n\tif(typeof DeviceInfo !== \"object\") {\n\t\treturn false;\n\t}\n\t// Get the pathname of this document\n\tvar pathname = decodeURIComponent(document.location.pathname);\n\t// Strip any query or location part\n\tvar p = pathname.indexOf(\"?\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\tp = pathname.indexOf(\"#\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\t// Remove the leading \"/Documents\" from path\n\tvar prefix = \"/Documents\";\n\tif(pathname.indexOf(prefix) === 0) {\n\t\tpathname = pathname.substr(prefix.length);\n\t}\n\t// Error handler\n\tvar errorHandler = function(event) {\n\t\t// Error\n\t\tcallback($tw.language.getString(\"Error/SavingToTWEdit\") + \": \" + event.target.error.code);\n\t};\n\t// Get the file system\n\twindow.requestFileSystem(LocalFileSystem.PERSISTENT,0,function(fileSystem) {\n\t\t// Now we've got the filesystem, get the fileEntry\n\t\tfileSystem.root.getFile(pathname, {create: true}, function(fileEntry) {\n\t\t\t// Now we've got the fileEntry, create the writer\n\t\t\tfileEntry.createWriter(function(writer) {\n\t\t\t\twriter.onerror = errorHandler;\n\t\t\t\twriter.onwrite = function() {\n\t\t\t\t\tcallback(null);\n\t\t\t\t};\n\t\t\t\twriter.position = 0;\n\t\t\t\twriter.write(text);\n\t\t\t},errorHandler);\n\t\t}, errorHandler);\n\t}, errorHandler);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nTWEditSaver.prototype.info = {\n\tname: \"twedit\",\n\tpriority: 1600,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TWEditSaver(wiki);\n};\n\n/////////////////////////// Hack\n// HACK: This ensures that TWEdit recognises us as a TiddlyWiki document\nif($tw.browser) {\n\twindow.version = {title: \"TiddlyWiki\"};\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/upload.js": {
"title": "$:/core/modules/savers/upload.js",
"text": "/*\\\ntitle: $:/core/modules/savers/upload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via upload to a server.\n\nDesigned to be compatible with BidiX's UploadPlugin at http://tiddlywiki.bidix.info/#UploadPlugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar UploadSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nUploadSaver.prototype.save = function(text,method,callback) {\n\t// Get the various parameters we need\n\tvar backupDir = this.wiki.getTextReference(\"$:/UploadBackupDir\") || \".\",\n\t\tusername = this.wiki.getTextReference(\"$:/UploadName\"),\n\t\tpassword = $tw.utils.getPassword(\"upload\"),\n\t\tuploadDir = this.wiki.getTextReference(\"$:/UploadDir\") || \".\",\n\t\tuploadFilename = this.wiki.getTextReference(\"$:/UploadFilename\") || \"index.html\",\n\t\turl = this.wiki.getTextReference(\"$:/UploadURL\");\n\t// Bail out if we don't have the bits we need\n\tif(!username || username.toString().trim() === \"\" || !password || password.toString().trim() === \"\") {\n\t\treturn false;\n\t}\n\t// Construct the url if not provided\n\tif(!url) {\n\t\turl = \"http://\" + username + \".tiddlyspot.com/store.cgi\";\n\t}\n\t// Assemble the header\n\tvar boundary = \"---------------------------\" + \"AaB03x\";\t\n\tvar uploadFormName = \"UploadPlugin\";\n\tvar head = [];\n\thead.push(\"--\" + boundary + \"\\r\\nContent-disposition: form-data; name=\\\"UploadPlugin\\\"\\r\\n\");\n\thead.push(\"backupDir=\" + backupDir + \";user=\" + username + \";password=\" + password + \";uploaddir=\" + uploadDir + \";;\"); \n\thead.push(\"\\r\\n\" + \"--\" + boundary);\n\thead.push(\"Content-disposition: form-data; name=\\\"userfile\\\"; filename=\\\"\" + uploadFilename + \"\\\"\");\n\thead.push(\"Content-Type: text/html;charset=UTF-8\");\n\thead.push(\"Content-Length: \" + text.length + \"\\r\\n\");\n\thead.push(\"\");\n\t// Assemble the tail and the data itself\n\tvar tail = \"\\r\\n--\" + boundary + \"--\\r\\n\",\n\t\tdata = head.join(\"\\r\\n\") + text + tail;\n\t// Do the HTTP post\n\tvar http = new XMLHttpRequest();\n\thttp.open(\"POST\",url,true,username,password);\n\thttp.setRequestHeader(\"Content-Type\",\"multipart/form-data; charset=UTF-8; boundary=\" + boundary);\n\thttp.onreadystatechange = function() {\n\t\tif(http.readyState == 4 && http.status == 200) {\n\t\t\tif(http.responseText.substr(0,4) === \"0 - \") {\n\t\t\t\tcallback(null);\n\t\t\t} else {\n\t\t\t\tcallback(http.responseText);\n\t\t\t}\n\t\t}\n\t};\n\ttry {\n\t\thttp.send(data);\n\t} catch(ex) {\n\t\treturn callback($tw.language.getString(\"Error/Caption\") + \":\" + ex);\n\t}\n\t$tw.notifier.display(\"$:/language/Notifications/Save/Starting\");\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nUploadSaver.prototype.info = {\n\tname: \"upload\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new UploadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/server/authenticators/basic.js": {
"title": "$:/core/modules/server/authenticators/basic.js",
"text": "/*\\\ntitle: $:/core/modules/server/authenticators/basic.js\ntype: application/javascript\nmodule-type: authenticator\n\nAuthenticator for WWW basic authentication\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nif($tw.node) {\n\tvar util = require(\"util\"),\n\t\tfs = require(\"fs\"),\n\t\turl = require(\"url\"),\n\t\tpath = require(\"path\");\n}\n\nfunction BasicAuthenticator(server) {\n\tthis.server = server;\n\tthis.credentialsData = [];\n}\n\n/*\nReturns true if the authenticator is active, false if it is inactive, or a string if there is an error\n*/\nBasicAuthenticator.prototype.init = function() {\n\t// Read the credentials data\n\tthis.credentialsFilepath = this.server.get(\"credentials\");\n\tif(this.credentialsFilepath) {\n\t\tvar resolveCredentialsFilepath = path.resolve($tw.boot.wikiPath,this.credentialsFilepath);\n\t\tif(fs.existsSync(resolveCredentialsFilepath) && !fs.statSync(resolveCredentialsFilepath).isDirectory()) {\n\t\t\tvar credentialsText = fs.readFileSync(resolveCredentialsFilepath,\"utf8\"),\n\t\t\t\tcredentialsData = $tw.utils.parseCsvStringWithHeader(credentialsText);\n\t\t\tif(typeof credentialsData === \"string\") {\n\t\t\t\treturn \"Error: \" + credentialsData + \" reading credentials from '\" + resolveCredentialsFilepath + \"'\";\n\t\t\t} else {\n\t\t\t\tthis.credentialsData = credentialsData;\n\t\t\t}\n\t\t} else {\n\t\t\treturn \"Error: Unable to load user credentials from '\" + resolveCredentialsFilepath + \"'\";\n\t\t}\n\t}\n\t// Add the hardcoded username and password if specified\n\tif(this.server.get(\"username\") && this.server.get(\"password\")) {\n\t\tthis.credentialsData = this.credentialsData || [];\n\t\tthis.credentialsData.push({\n\t\t\tusername: this.server.get(\"username\"),\n\t\t\tpassword: this.server.get(\"password\")\n\t\t});\n\t}\n\treturn this.credentialsData.length > 0;\n};\n\n/*\nReturns true if the request is authenticated and assigns the \"authenticatedUsername\" state variable.\nReturns false if the request couldn't be authenticated having sent an appropriate response to the browser\n*/\nBasicAuthenticator.prototype.authenticateRequest = function(request,response,state) {\n\t// Extract the incoming username and password from the request\n\tvar header = request.headers.authorization || \"\";\n\tif(!header && state.allowAnon) {\n\t\t// If there's no header and anonymous access is allowed then we don't set authenticatedUsername\n\t\treturn true;\n\t}\n\tvar token = header.split(/\\s+/).pop() || \"\",\n\t\tauth = $tw.utils.base64Decode(token),\n\t\tparts = auth.split(/:/),\n\t\tincomingUsername = parts[0],\n\t\tincomingPassword = parts[1];\n\t// Check that at least one of the credentials matches\n\tvar matchingCredentials = this.credentialsData.find(function(credential) {\n\t\treturn credential.username === incomingUsername && credential.password === incomingPassword;\n\t});\n\tif(matchingCredentials) {\n\t\t// If so, add the authenticated username to the request state\n\t\tstate.authenticatedUsername = incomingUsername;\n\t\treturn true;\n\t} else {\n\t\t// If not, return an authentication challenge\n\t\tresponse.writeHead(401,\"Authentication required\",{\n\t\t\t\"WWW-Authenticate\": 'Basic realm=\"Please provide your username and password to login to ' + state.server.servername + '\"'\n\t\t});\n\t\tresponse.end();\n\t\treturn false;\n\t}\n};\n\nexports.AuthenticatorClass = BasicAuthenticator;\n\n})();\n",
"type": "application/javascript",
"module-type": "authenticator"
},
"$:/core/modules/server/authenticators/header.js": {
"title": "$:/core/modules/server/authenticators/header.js",
"text": "/*\\\ntitle: $:/core/modules/server/authenticators/header.js\ntype: application/javascript\nmodule-type: authenticator\n\nAuthenticator for trusted header authentication\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction HeaderAuthenticator(server) {\n\tthis.server = server;\n\tthis.header = server.get(\"authenticated-user-header\");\n}\n\n/*\nReturns true if the authenticator is active, false if it is inactive, or a string if there is an error\n*/\nHeaderAuthenticator.prototype.init = function() {\n\treturn !!this.header;\n};\n\n/*\nReturns true if the request is authenticated and assigns the \"authenticatedUsername\" state variable.\nReturns false if the request couldn't be authenticated having sent an appropriate response to the browser\n*/\nHeaderAuthenticator.prototype.authenticateRequest = function(request,response,state) {\n\t// Otherwise, authenticate as the username in the specified header\n\tvar username = request.headers[this.header];\n\tif(!username && !state.allowAnon) {\n\t\tresponse.writeHead(401,\"Authorization header required to login to '\" + state.server.servername + \"'\");\n\t\tresponse.end();\n\t\treturn false;\n\t} else {\n\t\t// authenticatedUsername will be undefined for anonymous users\n\t\tstate.authenticatedUsername = username;\n\t\treturn true;\n\t}\n};\n\nexports.AuthenticatorClass = HeaderAuthenticator;\n\n})();\n",
"type": "application/javascript",
"module-type": "authenticator"
},
"$:/core/modules/server/routes/delete-tiddler.js": {
"title": "$:/core/modules/server/routes/delete-tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/delete-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nDELETE /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"DELETE\";\n\nexports.path = /^\\/bags\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]);\n\tstate.wiki.deleteTiddler(title);\n\tresponse.writeHead(204, \"OK\", {\n\t\t\"Content-Type\": \"text/plain\"\n\t});\n\tresponse.end();\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-favicon.js": {
"title": "$:/core/modules/server/routes/get-favicon.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-favicon.js\ntype: application/javascript\nmodule-type: route\n\nGET /favicon.ico\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/favicon.ico$/;\n\nexports.handler = function(request,response,state) {\n\tresponse.writeHead(200, {\"Content-Type\": \"image/x-icon\"});\n\tvar buffer = state.wiki.getTiddlerText(\"$:/favicon.ico\",\"\");\n\tresponse.end(buffer,\"base64\");\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-file.js": {
"title": "$:/core/modules/server/routes/get-file.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-file.js\ntype: application/javascript\nmodule-type: route\n\nGET /files/:filepath\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/files\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar path = require(\"path\"),\n\t\tfs = require(\"fs\"),\n\t\tutil = require(\"util\"),\n\t\tsuppliedFilename = decodeURIComponent(state.params[0]),\n\t\tfilename = path.resolve($tw.boot.wikiPath,\"files\",suppliedFilename),\n\t\textension = path.extname(filename);\n\tfs.readFile(filename,function(err,content) {\n\t\tvar status,content,type = \"text/plain\";\n\t\tif(err) {\n\t\t\tconsole.log(\"Error accessing file \" + filename + \": \" + err.toString());\n\t\t\tstatus = 404;\n\t\t\tcontent = \"File '\" + suppliedFilename + \"' not found\";\n\t\t} else {\n\t\t\tstatus = 200;\n\t\t\tcontent = content;\n\t\t\ttype = ($tw.config.fileExtensionInfo[extension] ? $tw.config.fileExtensionInfo[extension].type : \"application/octet-stream\");\n\t\t}\n\t\tresponse.writeHead(status,{\n\t\t\t\"Content-Type\": type\n\t\t});\n\t\tresponse.end(content);\n\t});\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-index.js": {
"title": "$:/core/modules/server/routes/get-index.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-index.js\ntype: application/javascript\nmodule-type: route\n\nGET /\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar zlib = require(\"zlib\");\n\nexports.method = \"GET\";\n\nexports.path = /^\\/$/;\n\nexports.handler = function(request,response,state) {\n\tvar acceptEncoding = request.headers[\"accept-encoding\"];\n\tif(!acceptEncoding) {\n\t\tacceptEncoding = \"\";\n\t}\n\tvar text = state.wiki.renderTiddler(state.server.get(\"root-render-type\"),state.server.get(\"root-tiddler\")),\n\t\tresponseHeaders = {\n\t\t\"Content-Type\": state.server.get(\"root-serve-type\")\n\t};\n\t/*\n\tIf the gzip=yes flag for `listen` is set, check if the user agent permits\n\tcompression. If so, compress our response. Note that we use the synchronous\n\tfunctions from zlib to stay in the imperative style. The current `Server`\n\tdoesn't depend on this, and we may just as well use the async versions.\n\t*/\n\tif(state.server.enableGzip) {\n\t\tif (/\\bdeflate\\b/.test(acceptEncoding)) {\n\t\t\tresponseHeaders[\"Content-Encoding\"] = \"deflate\";\n\t\t\ttext = zlib.deflateSync(text);\n\t\t} else if (/\\bgzip\\b/.test(acceptEncoding)) {\n\t\t\tresponseHeaders[\"Content-Encoding\"] = \"gzip\";\n\t\t\ttext = zlib.gzipSync(text);\n\t\t}\n\t}\n\tresponse.writeHead(200,responseHeaders);\n\tresponse.end(text);\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-login-basic.js": {
"title": "$:/core/modules/server/routes/get-login-basic.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-login-basic.js\ntype: application/javascript\nmodule-type: route\n\nGET /login-basic -- force a Basic Authentication challenge\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/login-basic$/;\n\nexports.handler = function(request,response,state) {\n\tif(!state.authenticatedUsername) {\n\t\t// Challenge if there's no username\n\t\tresponse.writeHead(401,{\n\t\t\t\"WWW-Authenticate\": 'Basic realm=\"Please provide your username and password to login to ' + state.server.servername + '\"'\n\t\t});\n\t\tresponse.end();\t\t\n\t} else {\n\t\t// Redirect to the root wiki if login worked\n\t\tresponse.writeHead(302,{\n\t\t\tLocation: \"/\"\n\t\t});\n\t\tresponse.end();\n\t}\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-status.js": {
"title": "$:/core/modules/server/routes/get-status.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-status.js\ntype: application/javascript\nmodule-type: route\n\nGET /status\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/status$/;\n\nexports.handler = function(request,response,state) {\n\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\tvar text = JSON.stringify({\n\t\tusername: state.authenticatedUsername || state.server.get(\"anon-username\") || \"\",\n\t\tanonymous: !state.authenticatedUsername,\n\t\tread_only: !state.server.isAuthorized(\"writers\",state.authenticatedUsername),\n\t\tspace: {\n\t\t\trecipe: \"default\"\n\t\t},\n\t\ttiddlywiki_version: $tw.version\n\t});\n\tresponse.end(text,\"utf8\");\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-tiddler-html.js": {
"title": "$:/core/modules/server/routes/get-tiddler-html.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-tiddler-html.js\ntype: application/javascript\nmodule-type: route\n\nGET /:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/([^\\/]+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]),\n\t\ttiddler = state.wiki.getTiddler(title);\n\tif(tiddler) {\n\t\tvar renderType = tiddler.getFieldString(\"_render_type\"),\n\t\t\trenderTemplate = tiddler.getFieldString(\"_render_template\");\n\t\t// Tiddler fields '_render_type' and '_render_template' overwrite\n\t\t// system wide settings for render type and template\n\t\tif(state.wiki.isSystemTiddler(title)) {\n\t\t\trenderType = renderType || state.server.get(\"system-tiddler-render-type\");\n\t\t\trenderTemplate = renderTemplate || state.server.get(\"system-tiddler-render-template\");\n\t\t} else {\n\t\t\trenderType = renderType || state.server.get(\"tiddler-render-type\");\n\t\t\trenderTemplate = renderTemplate || state.server.get(\"tiddler-render-template\");\n\t\t}\n\t\tvar text = state.wiki.renderTiddler(renderType,renderTemplate,{parseAsInline: true, variables: {currentTiddler: title}});\n\t\t// Naughty not to set a content-type, but it's the easiest way to ensure the browser will see HTML pages as HTML, and accept plain text tiddlers as CSS or JS\n\t\tresponse.writeHead(200);\n\t\tresponse.end(text,\"utf8\");\n\t} else {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t}\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-tiddler.js": {
"title": "$:/core/modules/server/routes/get-tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nGET /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]),\n\t\ttiddler = state.wiki.getTiddler(title),\n\t\ttiddlerFields = {},\n\t\tknownFields = [\n\t\t\t\"bag\", \"created\", \"creator\", \"modified\", \"modifier\", \"permissions\", \"recipe\", \"revision\", \"tags\", \"text\", \"title\", \"type\", \"uri\"\n\t\t];\n\tif(tiddler) {\n\t\t$tw.utils.each(tiddler.fields,function(field,name) {\n\t\t\tvar value = tiddler.getFieldString(name);\n\t\t\tif(knownFields.indexOf(name) !== -1) {\n\t\t\t\ttiddlerFields[name] = value;\n\t\t\t} else {\n\t\t\t\ttiddlerFields.fields = tiddlerFields.fields || {};\n\t\t\t\ttiddlerFields.fields[name] = value;\n\t\t\t}\n\t\t});\n\t\ttiddlerFields.revision = state.wiki.getChangeCount(title);\n\t\ttiddlerFields.bag = \"default\";\n\t\ttiddlerFields.type = tiddlerFields.type || \"text/vnd.tiddlywiki\";\n\t\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\t\tresponse.end(JSON.stringify(tiddlerFields),\"utf8\");\n\t} else {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t}\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-tiddlers-json.js": {
"title": "$:/core/modules/server/routes/get-tiddlers-json.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-tiddlers-json.js\ntype: application/javascript\nmodule-type: route\n\nGET /recipes/default/tiddlers/tiddlers.json?filter=<filter>\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DEFAULT_FILTER = \"[all[tiddlers]!is[system]sort[title]]\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers.json$/;\n\nexports.handler = function(request,response,state) {\n\tvar filter = state.queryParameters.filter || DEFAULT_FILTER;\n\tif($tw.wiki.getTiddlerText(\"$:/config/Server/AllowAllExternalFilters\") !== \"yes\") {\n\t\tif($tw.wiki.getTiddlerText(\"$:/config/Server/ExternalFilters/\" + filter) !== \"yes\") {\n\t\t\tconsole.log(\"Blocked attempt to GET /recipes/default/tiddlers/tiddlers.json with filter: \" + filter);\n\t\t\tresponse.writeHead(403);\n\t\t\tresponse.end();\n\t\t\treturn;\n\t\t}\n\t}\n\tvar excludeFields = (state.queryParameters.exclude || \"text\").split(\",\"),\n\t\ttitles = state.wiki.filterTiddlers(filter);\n\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\tvar tiddlers = [];\n\t$tw.utils.each(titles,function(title) {\n\t\tvar tiddler = state.wiki.getTiddler(title);\n\t\tif(tiddler) {\n\t\t\tvar tiddlerFields = tiddler.getFieldStrings({exclude: excludeFields});\n\t\t\ttiddlerFields.revision = state.wiki.getChangeCount(title);\n\t\t\ttiddlerFields.type = tiddlerFields.type || \"text/vnd.tiddlywiki\";\n\t\t\ttiddlers.push(tiddlerFields);\n\t\t}\n\t});\n\tvar text = JSON.stringify(tiddlers);\n\tresponse.end(text,\"utf8\");\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/put-tiddler.js": {
"title": "$:/core/modules/server/routes/put-tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/put-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nPUT /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"PUT\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]),\n\tfields = JSON.parse(state.data);\n\t// Pull up any subfields in the `fields` object\n\tif(fields.fields) {\n\t\t$tw.utils.each(fields.fields,function(field,name) {\n\t\t\tfields[name] = field;\n\t\t});\n\t\tdelete fields.fields;\n\t}\n\t// Remove any revision field\n\tif(fields.revision) {\n\t\tdelete fields.revision;\n\t}\n\tstate.wiki.addTiddler(new $tw.Tiddler(state.wiki.getCreationFields(),fields,{title: title},state.wiki.getModificationFields()));\n\tvar changeCount = state.wiki.getChangeCount(title).toString();\n\tresponse.writeHead(204, \"OK\",{\n\t\tEtag: \"\\\"default/\" + encodeURIComponent(title) + \"/\" + changeCount + \":\\\"\",\n\t\t\"Content-Type\": \"text/plain\"\n\t});\n\tresponse.end();\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/server.js": {
"title": "$:/core/modules/server/server.js",
"text": "/*\\\ntitle: $:/core/modules/server/server.js\ntype: application/javascript\nmodule-type: library\n\nServe tiddlers over http\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nif($tw.node) {\n\tvar util = require(\"util\"),\n\t\tfs = require(\"fs\"),\n\t\turl = require(\"url\"),\n\t\tpath = require(\"path\"),\n\t\tquerystring = require(\"querystring\");\n}\n\n/*\nA simple HTTP server with regexp-based routes\noptions: variables - optional hashmap of variables to set (a misnomer - they are really constant parameters)\n\t\t routes - optional array of routes to use\n\t\t wiki - reference to wiki object\n*/\nfunction Server(options) {\n\tvar self = this;\n\tthis.routes = options.routes || [];\n\tthis.authenticators = options.authenticators || [];\n\tthis.wiki = options.wiki;\n\tthis.servername = $tw.utils.transliterateToSafeASCII(this.wiki.getTiddlerText(\"$:/SiteTitle\") || \"TiddlyWiki5\");\n\t// Initialise the variables\n\tthis.variables = $tw.utils.extend({},this.defaultVariables);\n\tif(options.variables) {\n\t\tfor(var variable in options.variables) {\n\t\t\tif(options.variables[variable]) {\n\t\t\t\tthis.variables[variable] = options.variables[variable];\n\t\t\t}\n\t\t}\t\t\n\t}\n\t$tw.utils.extend({},this.defaultVariables,options.variables);\n\t// Initialise CSRF\n\tthis.csrfDisable = this.get(\"csrf-disable\") === \"yes\";\n\t// Initialize Gzip compression\n\tthis.enableGzip = this.get(\"gzip\") === \"yes\";\n\t// Initialise authorization\n\tvar authorizedUserName = (this.get(\"username\") && this.get(\"password\")) ? this.get(\"username\") : \"(anon)\";\n\tthis.authorizationPrincipals = {\n\t\treaders: (this.get(\"readers\") || authorizedUserName).split(\",\").map($tw.utils.trim),\n\t\twriters: (this.get(\"writers\") || authorizedUserName).split(\",\").map($tw.utils.trim)\n\t}\n\t// Load and initialise authenticators\n\t$tw.modules.forEachModuleOfType(\"authenticator\", function(title,authenticatorDefinition) {\n\t\t// console.log(\"Loading server route \" + title);\n\t\tself.addAuthenticator(authenticatorDefinition.AuthenticatorClass);\n\t});\n\t// Load route handlers\n\t$tw.modules.forEachModuleOfType(\"route\", function(title,routeDefinition) {\n\t\t// console.log(\"Loading server route \" + title);\n\t\tself.addRoute(routeDefinition);\n\t});\n\t// Initialise the http vs https\n\tthis.listenOptions = null;\n\tthis.protocol = \"http\";\n\tvar tlsKeyFilepath = this.get(\"tls-key\"),\n\t\ttlsCertFilepath = this.get(\"tls-cert\");\n\tif(tlsCertFilepath && tlsKeyFilepath) {\n\t\tthis.listenOptions = {\n\t\t\tkey: fs.readFileSync(path.resolve($tw.boot.wikiPath,tlsKeyFilepath),\"utf8\"),\n\t\t\tcert: fs.readFileSync(path.resolve($tw.boot.wikiPath,tlsCertFilepath),\"utf8\")\n\t\t};\n\t\tthis.protocol = \"https\";\n\t}\n\tthis.transport = require(this.protocol);\n}\n\nServer.prototype.defaultVariables = {\n\tport: \"8080\",\n\thost: \"127.0.0.1\",\n\t\"root-tiddler\": \"$:/core/save/all\",\n\t\"root-render-type\": \"text/plain\",\n\t\"root-serve-type\": \"text/html\",\n\t\"tiddler-render-type\": \"text/html\",\n\t\"tiddler-render-template\": \"$:/core/templates/server/static.tiddler.html\",\n\t\"system-tiddler-render-type\": \"text/plain\",\n\t\"system-tiddler-render-template\": \"$:/core/templates/wikified-tiddler\",\n\t\"debug-level\": \"none\",\n\t\"gzip\": \"no\"\n};\n\nServer.prototype.get = function(name) {\n\treturn this.variables[name];\n};\n\nServer.prototype.addRoute = function(route) {\n\tthis.routes.push(route);\n};\n\nServer.prototype.addAuthenticator = function(AuthenticatorClass) {\n\t// Instantiate and initialise the authenticator\n\tvar authenticator = new AuthenticatorClass(this),\n\t\tresult = authenticator.init();\n\tif(typeof result === \"string\") {\n\t\t$tw.utils.error(\"Error: \" + result);\n\t} else if(result) {\n\t\t// Only use the authenticator if it initialised successfully\n\t\tthis.authenticators.push(authenticator);\n\t}\n};\n\nServer.prototype.findMatchingRoute = function(request,state) {\n\tvar pathprefix = this.get(\"path-prefix\") || \"\";\n\tfor(var t=0; t<this.routes.length; t++) {\n\t\tvar potentialRoute = this.routes[t],\n\t\t\tpathRegExp = potentialRoute.path,\n\t\t\tpathname = state.urlInfo.pathname,\n\t\t\tmatch;\n\t\tif(pathprefix) {\n\t\t\tif(pathname.substr(0,pathprefix.length) === pathprefix) {\n\t\t\t\tpathname = pathname.substr(pathprefix.length) || \"/\";\n\t\t\t\tmatch = potentialRoute.path.exec(pathname);\n\t\t\t} else {\n\t\t\t\tmatch = false;\n\t\t\t}\n\t\t} else {\n\t\t\tmatch = potentialRoute.path.exec(pathname);\n\t\t}\n\t\tif(match && request.method === potentialRoute.method) {\n\t\t\tstate.params = [];\n\t\t\tfor(var p=1; p<match.length; p++) {\n\t\t\t\tstate.params.push(match[p]);\n\t\t\t}\n\t\t\treturn potentialRoute;\n\t\t}\n\t}\n\treturn null;\n};\n\nServer.prototype.methodMappings = {\n\t\"GET\": \"readers\",\n\t\"OPTIONS\": \"readers\",\n\t\"HEAD\": \"readers\",\n\t\"PUT\": \"writers\",\n\t\"POST\": \"writers\",\n\t\"DELETE\": \"writers\"\n};\n\n/*\nCheck whether a given user is authorized for the specified authorizationType (\"readers\" or \"writers\"). Pass null or undefined as the username to check for anonymous access\n*/\nServer.prototype.isAuthorized = function(authorizationType,username) {\n\tvar principals = this.authorizationPrincipals[authorizationType] || [];\n\treturn principals.indexOf(\"(anon)\") !== -1 || (username && (principals.indexOf(\"(authenticated)\") !== -1 || principals.indexOf(username) !== -1));\n}\n\nServer.prototype.requestHandler = function(request,response) {\n\t// Compose the state object\n\tvar self = this;\n\tvar state = {};\n\tstate.wiki = self.wiki;\n\tstate.server = self;\n\tstate.urlInfo = url.parse(request.url);\n\tstate.queryParameters = querystring.parse(state.urlInfo.query);\n\t// Get the principals authorized to access this resource\n\tvar authorizationType = this.methodMappings[request.method] || \"readers\";\n\t// Check for the CSRF header if this is a write\n\tif(!this.csrfDisable && authorizationType === \"writers\" && request.headers[\"x-requested-with\"] !== \"TiddlyWiki\") {\n\t\tresponse.writeHead(403,\"'X-Requested-With' header required to login to '\" + this.servername + \"'\");\n\t\tresponse.end();\n\t\treturn;\t\t\n\t}\n\t// Check whether anonymous access is granted\n\tstate.allowAnon = this.isAuthorized(authorizationType,null);\n\t// Authenticate with the first active authenticator\n\tif(this.authenticators.length > 0) {\n\t\tif(!this.authenticators[0].authenticateRequest(request,response,state)) {\n\t\t\t// Bail if we failed (the authenticator will have sent the response)\n\t\t\treturn;\n\t\t}\t\t\n\t}\n\t// Authorize with the authenticated username\n\tif(!this.isAuthorized(authorizationType,state.authenticatedUsername)) {\n\t\tresponse.writeHead(401,\"'\" + state.authenticatedUsername + \"' is not authorized to access '\" + this.servername + \"'\");\n\t\tresponse.end();\n\t\treturn;\n\t}\n\t// Find the route that matches this path\n\tvar route = self.findMatchingRoute(request,state);\n\t// Optionally output debug info\n\tif(self.get(\"debug-level\") !== \"none\") {\n\t\tconsole.log(\"Request path:\",JSON.stringify(state.urlInfo));\n\t\tconsole.log(\"Request headers:\",JSON.stringify(request.headers));\n\t\tconsole.log(\"authenticatedUsername:\",state.authenticatedUsername);\n\t}\n\t// Return a 404 if we didn't find a route\n\tif(!route) {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t\treturn;\n\t}\n\t// Receive the request body if necessary and hand off to the route handler\n\tif(route.bodyFormat === \"stream\" || request.method === \"GET\" || request.method === \"HEAD\") {\n\t\t// Let the route handle the request stream itself\n\t\troute.handler(request,response,state);\n\t} else if(route.bodyFormat === \"string\" || !route.bodyFormat) {\n\t\t// Set the encoding for the incoming request\n\t\trequest.setEncoding(\"utf8\");\n\t\tvar data = \"\";\n\t\trequest.on(\"data\",function(chunk) {\n\t\t\tdata += chunk.toString();\n\t\t});\n\t\trequest.on(\"end\",function() {\n\t\t\tstate.data = data;\n\t\t\troute.handler(request,response,state);\n\t\t});\n\t} else if(route.bodyFormat === \"buffer\") {\n\t\tvar data = [];\n\t\trequest.on(\"data\",function(chunk) {\n\t\t\tdata.push(chunk);\n\t\t});\n\t\trequest.on(\"end\",function() {\n\t\t\tstate.data = Buffer.concat(data);\n\t\t\troute.handler(request,response,state);\n\t\t})\n\t} else {\n\t\tresponse.writeHead(400,\"Invalid bodyFormat \" + route.bodyFormat + \" in route \" + route.method + \" \" + route.path.source);\n\t\tresponse.end();\n\t}\n};\n\n/*\nListen for requests\nport: optional port number (falls back to value of \"port\" variable)\nhost: optional host address (falls back to value of \"host\" variable)\nprefix: optional prefix (falls back to value of \"path-prefix\" variable)\n*/\nServer.prototype.listen = function(port,host,prefix) {\n\tvar self = this;\n\t// Handle defaults for port and host\n\tport = port || this.get(\"port\");\n\thost = host || this.get(\"host\");\n\tprefix = prefix || this.get(\"path-prefix\") || \"\";\n\t// Check for the port being a string and look it up as an environment variable\n\tif(parseInt(port,10).toString() !== port) {\n\t\tport = process.env[port] || 8080;\n\t}\n\t// Warn if required plugins are missing\n\tif(!$tw.wiki.getTiddler(\"$:/plugins/tiddlywiki/tiddlyweb\") || !$tw.wiki.getTiddler(\"$:/plugins/tiddlywiki/filesystem\")) {\n\t\t$tw.utils.warning(\"Warning: Plugins required for client-server operation (\\\"tiddlywiki/filesystem\\\" and \\\"tiddlywiki/tiddlyweb\\\") are missing from tiddlywiki.info file\");\n\t}\n\t// Create the server\n\tvar server;\n\tif(this.listenOptions) {\n\t\tserver = this.transport.createServer(this.listenOptions,this.requestHandler.bind(this));\n\t} else {\n\t\tserver = this.transport.createServer(this.requestHandler.bind(this));\n\t}\n\t// Display the port number after we've started listening (the port number might have been specified as zero, in which case we will get an assigned port)\n\tserver.on(\"listening\",function() {\n\t\tvar address = server.address();\n\t\t$tw.utils.log(\"Serving on \" + self.protocol + \"://\" + address.address + \":\" + address.port + prefix,\"brown/orange\");\n\t\t$tw.utils.log(\"(press ctrl-C to exit)\",\"red\");\n\t});\n\t// Listen\n\treturn server.listen(port,host);\n};\n\nexports.Server = Server;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/browser-messaging.js": {
"title": "$:/core/modules/browser-messaging.js",
"text": "/*\\\ntitle: $:/core/modules/browser-messaging.js\ntype: application/javascript\nmodule-type: startup\n\nBrowser message handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"browser-messaging\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n/*\nLoad a specified url as an iframe and call the callback when it is loaded. If the url is already loaded then the existing iframe instance is used\n*/\nfunction loadIFrame(url,callback) {\n\t// Check if iframe already exists\n\tvar iframeInfo = $tw.browserMessaging.iframeInfoMap[url];\n\tif(iframeInfo) {\n\t\t// We've already got the iframe\n\t\tcallback(null,iframeInfo);\n\t} else {\n\t\t// Create the iframe and save it in the list\n\t\tvar iframe = document.createElement(\"iframe\");\n\t\tiframeInfo = {\n\t\t\turl: url,\n\t\t\tstatus: \"loading\",\n\t\t\tdomNode: iframe\n\t\t};\n\t\t$tw.browserMessaging.iframeInfoMap[url] = iframeInfo;\n\t\tsaveIFrameInfoTiddler(iframeInfo);\n\t\t// Add the iframe to the DOM and hide it\n\t\tiframe.style.display = \"none\";\n\t\tiframe.setAttribute(\"library\",\"true\");\n\t\tdocument.body.appendChild(iframe);\n\t\t// Set up onload\n\t\tiframe.onload = function() {\n\t\t\tiframeInfo.status = \"loaded\";\n\t\t\tsaveIFrameInfoTiddler(iframeInfo);\n\t\t\tcallback(null,iframeInfo);\n\t\t};\n\t\tiframe.onerror = function() {\n\t\t\tcallback(\"Cannot load iframe\");\n\t\t};\n\t\ttry {\n\t\t\tiframe.src = url;\n\t\t} catch(ex) {\n\t\t\tcallback(ex);\n\t\t}\n\t}\n}\n\n/*\nUnload library iframe for given url\n*/\nfunction unloadIFrame(url){\n\t$tw.utils.each(document.getElementsByTagName('iframe'), function(iframe) {\n\t\tif(iframe.getAttribute(\"library\") === \"true\" &&\n\t\t iframe.getAttribute(\"src\") === url) {\n\t\t\tiframe.parentNode.removeChild(iframe);\n\t\t}\n\t});\n}\n\nfunction saveIFrameInfoTiddler(iframeInfo) {\n\t$tw.wiki.addTiddler(new $tw.Tiddler($tw.wiki.getCreationFields(),{\n\t\ttitle: \"$:/temp/ServerConnection/\" + iframeInfo.url,\n\t\ttext: iframeInfo.status,\n\t\ttags: [\"$:/tags/ServerConnection\"],\n\t\turl: iframeInfo.url\n\t},$tw.wiki.getModificationFields()));\n}\n\nexports.startup = function() {\n\t// Initialise the store of iframes we've created\n\t$tw.browserMessaging = {\n\t\tiframeInfoMap: {} // Hashmap by URL of {url:,status:\"loading/loaded\",domNode:}\n\t};\n\t// Listen for widget messages to control loading the plugin library\n\t$tw.rootWidget.addEventListener(\"tm-load-plugin-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url;\n\t\tif(url) {\n\t\t\tloadIFrame(url,function(err,iframeInfo) {\n\t\t\t\tif(err) {\n\t\t\t\t\talert($tw.language.getString(\"Error/LoadingPluginLibrary\") + \": \" + url);\n\t\t\t\t} else {\n\t\t\t\t\tiframeInfo.domNode.contentWindow.postMessage({\n\t\t\t\t\t\tverb: \"GET\",\n\t\t\t\t\t\turl: \"recipes/library/tiddlers.json\",\n\t\t\t\t\t\tcookies: {\n\t\t\t\t\t\t\ttype: \"save-info\",\n\t\t\t\t\t\t\tinfoTitlePrefix: paramObject.infoTitlePrefix || \"$:/temp/RemoteAssetInfo/\",\n\t\t\t\t\t\t\turl: url\n\t\t\t\t\t\t}\n\t\t\t\t\t},\"*\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Listen for widget messages to control unloading the plugin library\n\t$tw.rootWidget.addEventListener(\"tm-unload-plugin-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url;\n\t\t$tw.browserMessaging.iframeInfoMap[url] = undefined;\n\t\tif(url) {\n\t\t\tunloadIFrame(url);\n\t\t\t$tw.utils.each(\n\t\t\t\t$tw.wiki.filterTiddlers(\"[[$:/temp/ServerConnection/\" + url + \"]] [prefix[$:/temp/RemoteAssetInfo/\" + url + \"/]]\"),\n\t\t\t\tfunction(title) {\n\t\t\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t\t\t}\n\t\t\t);\n\t\t}\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-load-plugin-from-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url,\n\t\t\ttitle = paramObject.title;\n\t\tif(url && title) {\n\t\t\tloadIFrame(url,function(err,iframeInfo) {\n\t\t\t\tif(err) {\n\t\t\t\t\talert($tw.language.getString(\"Error/LoadingPluginLibrary\") + \": \" + url);\n\t\t\t\t} else {\n\t\t\t\t\tiframeInfo.domNode.contentWindow.postMessage({\n\t\t\t\t\t\tverb: \"GET\",\n\t\t\t\t\t\turl: \"recipes/library/tiddlers/\" + encodeURIComponent(title) + \".json\",\n\t\t\t\t\t\tcookies: {\n\t\t\t\t\t\t\ttype: \"save-tiddler\",\n\t\t\t\t\t\t\turl: url\n\t\t\t\t\t\t}\n\t\t\t\t\t},\"*\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Listen for window messages from other windows\n\twindow.addEventListener(\"message\",function listener(event){\n\t\t// console.log(\"browser-messaging: \",document.location.toString())\n\t\t// console.log(\"browser-messaging: Received message from\",event.origin);\n\t\t// console.log(\"browser-messaging: Message content\",event.data);\n\t\tswitch(event.data.verb) {\n\t\t\tcase \"GET-RESPONSE\":\n\t\t\t\tif(event.data.status.charAt(0) === \"2\") {\n\t\t\t\t\tif(event.data.cookies) {\n\t\t\t\t\t\tif(event.data.cookies.type === \"save-info\") {\n\t\t\t\t\t\t\tvar tiddlers = JSON.parse(event.data.body);\n\t\t\t\t\t\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\t\t\t\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler($tw.wiki.getCreationFields(),tiddler,{\n\t\t\t\t\t\t\t\t\ttitle: event.data.cookies.infoTitlePrefix + event.data.cookies.url + \"/\" + tiddler.title,\n\t\t\t\t\t\t\t\t\t\"original-title\": tiddler.title,\n\t\t\t\t\t\t\t\t\ttext: \"\",\n\t\t\t\t\t\t\t\t\ttype: \"text/vnd.tiddlywiki\",\n\t\t\t\t\t\t\t\t\t\"original-type\": tiddler.type,\n\t\t\t\t\t\t\t\t\t\"plugin-type\": undefined,\n\t\t\t\t\t\t\t\t\t\"original-plugin-type\": tiddler[\"plugin-type\"],\n\t\t\t\t\t\t\t\t\t\"module-type\": undefined,\n\t\t\t\t\t\t\t\t\t\"original-module-type\": tiddler[\"module-type\"],\n\t\t\t\t\t\t\t\t\ttags: [\"$:/tags/RemoteAssetInfo\"],\n\t\t\t\t\t\t\t\t\t\"original-tags\": $tw.utils.stringifyList(tiddler.tags || []),\n\t\t\t\t\t\t\t\t\t\"server-url\": event.data.cookies.url\n\t\t\t\t\t\t\t\t},$tw.wiki.getModificationFields()));\n\t\t\t\t\t\t\t});\n\t\t\t\t\t\t} else if(event.data.cookies.type === \"save-tiddler\") {\n\t\t\t\t\t\t\tvar tiddler = JSON.parse(event.data.body);\n\t\t\t\t\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler(tiddler));\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\t},false);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/commands.js": {
"title": "$:/core/modules/startup/commands.js",
"text": "/*\\\ntitle: $:/core/modules/startup/commands.js\ntype: application/javascript\nmodule-type: startup\n\nCommand processing\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"commands\";\nexports.platforms = [\"node\"];\nexports.after = [\"story\"];\nexports.synchronous = false;\n\nexports.startup = function(callback) {\n\t// On the server, start a commander with the command line arguments\n\tvar commander = new $tw.Commander(\n\t\t$tw.boot.argv,\n\t\tfunction(err) {\n\t\t\tif(err) {\n\t\t\t\treturn $tw.utils.error(\"Error: \" + err);\n\t\t\t}\n\t\t\tcallback();\n\t\t},\n\t\t$tw.wiki,\n\t\t{output: process.stdout, error: process.stderr}\n\t);\n\tcommander.execute();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/CSSescape.js": {
"title": "$:/core/modules/startup/CSSescape.js",
"text": "/*\\\ntitle: $:/core/modules/startup/CSSescape.js\ntype: application/javascript\nmodule-type: startup\n\nPolyfill for CSS.escape()\n\n\\*/\n(function(root,factory){\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"css-escape\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n/*! https://mths.be/cssescape v1.5.1 by @mathias | MIT license */\n// https://github.com/umdjs/umd/blob/master/returnExports.js\nexports.startup = factory(root);\n}(typeof global != 'undefined' ? global : this, function(root) {\n\n\tif (root.CSS && root.CSS.escape) {\n\t\treturn;\n\t}\n\n\t// https://drafts.csswg.org/cssom/#serialize-an-identifier\n\tvar cssEscape = function(value) {\n\t\tif (arguments.length == 0) {\n\t\t\tthrow new TypeError('`CSS.escape` requires an argument.');\n\t\t}\n\t\tvar string = String(value);\n\t\tvar length = string.length;\n\t\tvar index = -1;\n\t\tvar codeUnit;\n\t\tvar result = '';\n\t\tvar firstCodeUnit = string.charCodeAt(0);\n\t\twhile (++index < length) {\n\t\t\tcodeUnit = string.charCodeAt(index);\n\t\t\t// Note: there’s no need to special-case astral symbols, surrogate\n\t\t\t// pairs, or lone surrogates.\n\n\t\t\t// If the character is NULL (U+0000), then the REPLACEMENT CHARACTER\n\t\t\t// (U+FFFD).\n\t\t\tif (codeUnit == 0x0000) {\n\t\t\t\tresult += '\\uFFFD';\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tif (\n\t\t\t\t// If the character is in the range [\\1-\\1F] (U+0001 to U+001F) or is\n\t\t\t\t// U+007F, […]\n\t\t\t\t(codeUnit >= 0x0001 && codeUnit <= 0x001F) || codeUnit == 0x007F ||\n\t\t\t\t// If the character is the first character and is in the range [0-9]\n\t\t\t\t// (U+0030 to U+0039), […]\n\t\t\t\t(index == 0 && codeUnit >= 0x0030 && codeUnit <= 0x0039) ||\n\t\t\t\t// If the character is the second character and is in the range [0-9]\n\t\t\t\t// (U+0030 to U+0039) and the first character is a `-` (U+002D), […]\n\t\t\t\t(\n\t\t\t\t\tindex == 1 &&\n\t\t\t\t\tcodeUnit >= 0x0030 && codeUnit <= 0x0039 &&\n\t\t\t\t\tfirstCodeUnit == 0x002D\n\t\t\t\t)\n\t\t\t) {\n\t\t\t\t// https://drafts.csswg.org/cssom/#escape-a-character-as-code-point\n\t\t\t\tresult += '\\\\' + codeUnit.toString(16) + ' ';\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tif (\n\t\t\t\t// If the character is the first character and is a `-` (U+002D), and\n\t\t\t\t// there is no second character, […]\n\t\t\t\tindex == 0 &&\n\t\t\t\tlength == 1 &&\n\t\t\t\tcodeUnit == 0x002D\n\t\t\t) {\n\t\t\t\tresult += '\\\\' + string.charAt(index);\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\t// If the character is not handled by one of the above rules and is\n\t\t\t// greater than or equal to U+0080, is `-` (U+002D) or `_` (U+005F), or\n\t\t\t// is in one of the ranges [0-9] (U+0030 to U+0039), [A-Z] (U+0041 to\n\t\t\t// U+005A), or [a-z] (U+0061 to U+007A), […]\n\t\t\tif (\n\t\t\t\tcodeUnit >= 0x0080 ||\n\t\t\t\tcodeUnit == 0x002D ||\n\t\t\t\tcodeUnit == 0x005F ||\n\t\t\t\tcodeUnit >= 0x0030 && codeUnit <= 0x0039 ||\n\t\t\t\tcodeUnit >= 0x0041 && codeUnit <= 0x005A ||\n\t\t\t\tcodeUnit >= 0x0061 && codeUnit <= 0x007A\n\t\t\t) {\n\t\t\t\t// the character itself\n\t\t\t\tresult += string.charAt(index);\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\t// Otherwise, the escaped character.\n\t\t\t// https://drafts.csswg.org/cssom/#escape-a-character\n\t\t\tresult += '\\\\' + string.charAt(index);\n\n\t\t}\n\t\treturn result;\n\t};\n\n\tif (!root.CSS) {\n\t\troot.CSS = {};\n\t}\n\n\troot.CSS.escape = cssEscape;\n\n}));\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/favicon.js": {
"title": "$:/core/modules/startup/favicon.js",
"text": "/*\\\ntitle: $:/core/modules/startup/favicon.js\ntype: application/javascript\nmodule-type: startup\n\nFavicon handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"favicon\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\t\t\n// Favicon tiddler\nvar FAVICON_TITLE = \"$:/favicon.ico\";\n\nexports.startup = function() {\n\t// Set up the favicon\n\tsetFavicon();\n\t// Reset the favicon when the tiddler changes\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,FAVICON_TITLE)) {\n\t\t\tsetFavicon();\n\t\t}\n\t});\n};\n\nfunction setFavicon() {\n\tvar tiddler = $tw.wiki.getTiddler(FAVICON_TITLE);\n\tif(tiddler) {\n\t\tvar faviconLink = document.getElementById(\"faviconLink\");\n\t\tfaviconLink.setAttribute(\"href\",\"data:\" + tiddler.fields.type + \";base64,\" + tiddler.fields.text);\n\t}\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/info.js": {
"title": "$:/core/modules/startup/info.js",
"text": "/*\\\ntitle: $:/core/modules/startup/info.js\ntype: application/javascript\nmodule-type: startup\n\nInitialise $:/info tiddlers via $:/temp/info-plugin pseudo-plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"info\";\nexports.before = [\"startup\"];\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\nvar TITLE_INFO_PLUGIN = \"$:/temp/info-plugin\";\n\nexports.startup = function() {\n\t// Collect up the info tiddlers\n\tvar infoTiddlerFields = {};\n\t// Give each info module a chance to fill in as many info tiddlers as they want\n\t$tw.modules.forEachModuleOfType(\"info\",function(title,moduleExports) {\n\t\tif(moduleExports && moduleExports.getInfoTiddlerFields) {\n\t\t\tvar tiddlerFieldsArray = moduleExports.getInfoTiddlerFields(infoTiddlerFields);\n\t\t\t$tw.utils.each(tiddlerFieldsArray,function(fields) {\n\t\t\t\tif(fields) {\n\t\t\t\t\tinfoTiddlerFields[fields.title] = fields;\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Bake the info tiddlers into a plugin. We use the non-standard plugin-type \"info\" because ordinary plugins are only registered asynchronously after being loaded dynamically\n\tvar fields = {\n\t\ttitle: TITLE_INFO_PLUGIN,\n\t\ttype: \"application/json\",\n\t\t\"plugin-type\": \"info\",\n\t\ttext: JSON.stringify({tiddlers: infoTiddlerFields},null,$tw.config.preferences.jsonSpaces)\n\t};\n\t$tw.wiki.addTiddler(new $tw.Tiddler(fields));\n\t$tw.wiki.readPluginInfo([TITLE_INFO_PLUGIN]);\n\t$tw.wiki.registerPluginTiddlers(\"info\");\n\t$tw.wiki.unpackPluginTiddlers();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/load-modules.js": {
"title": "$:/core/modules/startup/load-modules.js",
"text": "/*\\\ntitle: $:/core/modules/startup/load-modules.js\ntype: application/javascript\nmodule-type: startup\n\nLoad core modules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"load-modules\";\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Load modules\n\t$tw.modules.applyMethods(\"utils\",$tw.utils);\n\tif($tw.node) {\n\t\t$tw.modules.applyMethods(\"utils-node\",$tw.utils);\n\t}\n\t$tw.modules.applyMethods(\"global\",$tw);\n\t$tw.modules.applyMethods(\"config\",$tw.config);\n\t$tw.Tiddler.fieldModules = $tw.modules.getModulesByTypeAsHashmap(\"tiddlerfield\");\n\t$tw.modules.applyMethods(\"tiddlermethod\",$tw.Tiddler.prototype);\n\t$tw.modules.applyMethods(\"wikimethod\",$tw.Wiki.prototype);\n\t$tw.wiki.addIndexersToWiki();\n\t$tw.modules.applyMethods(\"tiddlerdeserializer\",$tw.Wiki.tiddlerDeserializerModules);\n\t$tw.macros = $tw.modules.getModulesByTypeAsHashmap(\"macro\");\n\t$tw.wiki.initParsers();\n\t$tw.Commander.initCommands();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/password.js": {
"title": "$:/core/modules/startup/password.js",
"text": "/*\\\ntitle: $:/core/modules/startup/password.js\ntype: application/javascript\nmodule-type: startup\n\nPassword handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"password\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t$tw.rootWidget.addEventListener(\"tm-set-password\",function(event) {\n\t\t$tw.passwordPrompt.createPrompt({\n\t\t\tserviceName: $tw.language.getString(\"Encryption/PromptSetPassword\"),\n\t\t\tnoUserName: true,\n\t\t\tsubmitText: $tw.language.getString(\"Encryption/SetPassword\"),\n\t\t\tcanCancel: true,\n\t\t\trepeatPassword: true,\n\t\t\tcallback: function(data) {\n\t\t\t\tif(data) {\n\t\t\t\t\t$tw.crypto.setPassword(data.password);\n\t\t\t\t}\n\t\t\t\treturn true; // Get rid of the password prompt\n\t\t\t}\n\t\t});\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-clear-password\",function(event) {\n\t\tif($tw.browser) {\n\t\t\tif(!confirm($tw.language.getString(\"Encryption/ConfirmClearPassword\"))) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t\t$tw.crypto.setPassword(null);\n\t});\n\t// Ensure that $:/isEncrypted is maintained properly\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,\"$:/isEncrypted\")) {\n\t\t\t$tw.crypto.updateCryptoStateTiddler();\n\t\t}\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/plugins.js": {
"title": "$:/core/modules/startup/plugins.js",
"text": "/*\\\ntitle: $:/core/modules/startup/plugins.js\ntype: application/javascript\nmodule-type: startup\n\nStartup logic concerned with managing plugins\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"plugins\";\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\nvar TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE = \"$:/status/RequireReloadDueToPluginChange\";\n\nvar PREFIX_CONFIG_REGISTER_PLUGIN_TYPE = \"$:/config/RegisterPluginType/\";\n\nexports.startup = function() {\n\t$tw.wiki.addTiddler({title: TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE,text: \"no\"});\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tvar changesToProcess = [],\n\t\t\trequireReloadDueToPluginChange = false;\n\t\t$tw.utils.each(Object.keys(changes),function(title) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title),\n\t\t\t\trequiresReload = $tw.wiki.doesPluginRequireReload(title);\n\t\t\tif(requiresReload) {\n\t\t\t\trequireReloadDueToPluginChange = true;\n\t\t\t} else if(tiddler) {\n\t\t\t\tvar pluginType = tiddler.fields[\"plugin-type\"];\n\t\t\t\tif($tw.wiki.getTiddlerText(PREFIX_CONFIG_REGISTER_PLUGIN_TYPE + (tiddler.fields[\"plugin-type\"] || \"\"),\"no\") === \"yes\") {\n\t\t\t\t\tchangesToProcess.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t\tif(requireReloadDueToPluginChange) {\n\t\t\t$tw.wiki.addTiddler({title: TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE,text: \"yes\"});\n\t\t}\n\t\t// Read or delete the plugin info of the changed tiddlers\n\t\tif(changesToProcess.length > 0) {\n\t\t\tvar changes = $tw.wiki.readPluginInfo(changesToProcess);\n\t\t\tif(changes.modifiedPlugins.length > 0 || changes.deletedPlugins.length > 0) {\n\t\t\t\t// (Re-)register any modified plugins\n\t\t\t\t$tw.wiki.registerPluginTiddlers(null,changes.modifiedPlugins);\n\t\t\t\t// Unregister any deleted plugins\n\t\t\t\t$tw.wiki.unregisterPluginTiddlers(null,changes.deletedPlugins);\n\t\t\t\t// Unpack the shadow tiddlers\n\t\t\t\t$tw.wiki.unpackPluginTiddlers();\n\t\t\t}\n\t\t}\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/render.js": {
"title": "$:/core/modules/startup/render.js",
"text": "/*\\\ntitle: $:/core/modules/startup/render.js\ntype: application/javascript\nmodule-type: startup\n\nTitle, stylesheet and page rendering\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"render\";\nexports.platforms = [\"browser\"];\nexports.after = [\"story\"];\nexports.synchronous = true;\n\n// Default story and history lists\nvar PAGE_TITLE_TITLE = \"$:/core/wiki/title\";\nvar PAGE_STYLESHEET_TITLE = \"$:/core/ui/PageStylesheet\";\nvar PAGE_TEMPLATE_TITLE = \"$:/core/ui/PageTemplate\";\n\n// Time (in ms) that we defer refreshing changes to draft tiddlers\nvar DRAFT_TIDDLER_TIMEOUT_TITLE = \"$:/config/Drafts/TypingTimeout\";\nvar THROTTLE_REFRESH_TIMEOUT = 400;\n\nexports.startup = function() {\n\t// Set up the title\n\t$tw.titleWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_TITLE_TITLE,{document: $tw.fakeDocument, parseAsInline: true});\n\t$tw.titleContainer = $tw.fakeDocument.createElement(\"div\");\n\t$tw.titleWidgetNode.render($tw.titleContainer,null);\n\tdocument.title = $tw.titleContainer.textContent;\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.titleWidgetNode.refresh(changes,$tw.titleContainer,null)) {\n\t\t\tdocument.title = $tw.titleContainer.textContent;\n\t\t}\n\t});\n\t// Set up the styles\n\t$tw.styleWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_STYLESHEET_TITLE,{document: $tw.fakeDocument});\n\t$tw.styleContainer = $tw.fakeDocument.createElement(\"style\");\n\t$tw.styleWidgetNode.render($tw.styleContainer,null);\n\t$tw.styleElement = document.createElement(\"style\");\n\t$tw.styleElement.innerHTML = $tw.styleContainer.textContent;\n\tdocument.head.insertBefore($tw.styleElement,document.head.firstChild);\n\t$tw.wiki.addEventListener(\"change\",$tw.perf.report(\"styleRefresh\",function(changes) {\n\t\tif($tw.styleWidgetNode.refresh(changes,$tw.styleContainer,null)) {\n\t\t\t$tw.styleElement.innerHTML = $tw.styleContainer.textContent;\n\t\t}\n\t}));\n\t// Display the $:/core/ui/PageTemplate tiddler to kick off the display\n\t$tw.perf.report(\"mainRender\",function() {\n\t\t$tw.pageWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_TEMPLATE_TITLE,{document: document, parentWidget: $tw.rootWidget});\n\t\t$tw.pageContainer = document.createElement(\"div\");\n\t\t$tw.utils.addClass($tw.pageContainer,\"tc-page-container-wrapper\");\n\t\tdocument.body.insertBefore($tw.pageContainer,document.body.firstChild);\n\t\t$tw.pageWidgetNode.render($tw.pageContainer,null);\n \t\t$tw.hooks.invokeHook(\"th-page-refreshed\");\n\t})();\n\t// Remove any splash screen elements\n\tvar removeList = document.querySelectorAll(\".tc-remove-when-wiki-loaded\");\n\t$tw.utils.each(removeList,function(removeItem) {\n\t\tif(removeItem.parentNode) {\n\t\t\tremoveItem.parentNode.removeChild(removeItem);\n\t\t}\n\t});\n\t// Prepare refresh mechanism\n\tvar deferredChanges = Object.create(null),\n\t\ttimerId;\n\tfunction refresh() {\n\t\t// Process the refresh\n\t\t$tw.hooks.invokeHook(\"th-page-refreshing\");\n\t\t$tw.pageWidgetNode.refresh(deferredChanges);\n\t\tdeferredChanges = Object.create(null);\n\t\t$tw.hooks.invokeHook(\"th-page-refreshed\");\n\t}\n\t// Add the change event handler\n\t$tw.wiki.addEventListener(\"change\",$tw.perf.report(\"mainRefresh\",function(changes) {\n\t\t// Check if only tiddlers that are throttled have changed\n\t\tvar onlyThrottledTiddlersHaveChanged = true;\n\t\tfor(var title in changes) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\tif(!tiddler || !(tiddler.hasField(\"draft.of\") || tiddler.hasField(\"throttle.refresh\"))) {\n\t\t\t\tonlyThrottledTiddlersHaveChanged = false;\n\t\t\t}\n\t\t}\n\t\t// Defer the change if only drafts have changed\n\t\tif(timerId) {\n\t\t\tclearTimeout(timerId);\n\t\t}\n\t\ttimerId = null;\n\t\tif(onlyThrottledTiddlersHaveChanged) {\n\t\t\tvar timeout = parseInt($tw.wiki.getTiddlerText(DRAFT_TIDDLER_TIMEOUT_TITLE,\"\"),10);\n\t\t\tif(isNaN(timeout)) {\n\t\t\t\ttimeout = THROTTLE_REFRESH_TIMEOUT;\n\t\t\t}\n\t\t\ttimerId = setTimeout(refresh,timeout);\n\t\t\t$tw.utils.extend(deferredChanges,changes);\n\t\t} else {\n\t\t\t$tw.utils.extend(deferredChanges,changes);\n\t\t\trefresh();\n\t\t}\n\t}));\n\t// Fix up the link between the root widget and the page container\n\t$tw.rootWidget.domNodes = [$tw.pageContainer];\n\t$tw.rootWidget.children = [$tw.pageWidgetNode];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/rootwidget.js": {
"title": "$:/core/modules/startup/rootwidget.js",
"text": "/*\\\ntitle: $:/core/modules/startup/rootwidget.js\ntype: application/javascript\nmodule-type: startup\n\nSetup the root widget and the core root widget handlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"rootwidget\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.before = [\"story\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Install the modal message mechanism\n\t$tw.modal = new $tw.utils.Modal($tw.wiki);\n\t$tw.rootWidget.addEventListener(\"tm-modal\",function(event) {\n\t\t$tw.modal.display(event.param,{variables: event.paramObject, event: event});\n\t});\n\t// Install the notification mechanism\n\t$tw.notifier = new $tw.utils.Notifier($tw.wiki);\n\t$tw.rootWidget.addEventListener(\"tm-notify\",function(event) {\n\t\t$tw.notifier.display(event.param,{variables: event.paramObject});\n\t});\n\t// Install the copy-to-clipboard mechanism\n\t$tw.rootWidget.addEventListener(\"tm-copy-to-clipboard\",function(event) {\n\t\t$tw.utils.copyToClipboard(event.param);\n\t});\n\t// Install the tm-focus-selector message\n\t$tw.rootWidget.addEventListener(\"tm-focus-selector\",function(event) {\n\t\tvar selector = event.param || \"\",\n\t\t\telement;\n\t\ttry {\n\t\t\telement = document.querySelector(selector);\n\t\t} catch(e) {\n\t\t\tconsole.log(\"Error in selector: \",selector)\n\t\t}\n\t\tif(element && element.focus) {\n\t\t\telement.focus(event.paramObject);\n\t\t}\n\t});\n\t// Install the scroller\n\t$tw.pageScroller = new $tw.utils.PageScroller();\n\t$tw.rootWidget.addEventListener(\"tm-scroll\",function(event) {\n\t\t$tw.pageScroller.handleEvent(event);\n\t});\n\tvar fullscreen = $tw.utils.getFullScreenApis();\n\tif(fullscreen) {\n\t\t$tw.rootWidget.addEventListener(\"tm-full-screen\",function(event) {\n\t\t\tvar fullScreenDocument = event.event ? event.event.target.ownerDocument : document;\n\t\t\tif(event.param === \"enter\") {\n\t\t\t\tfullScreenDocument.documentElement[fullscreen._requestFullscreen](Element.ALLOW_KEYBOARD_INPUT);\n\t\t\t} else if(event.param === \"exit\") {\n\t\t\t\tfullScreenDocument[fullscreen._exitFullscreen]();\n\t\t\t} else {\n\t\t\t\tif(fullScreenDocument[fullscreen._fullscreenElement]) {\n\t\t\t\t\tfullScreenDocument[fullscreen._exitFullscreen]();\n\t\t\t\t} else {\n\t\t\t\t\tfullScreenDocument.documentElement[fullscreen._requestFullscreen](Element.ALLOW_KEYBOARD_INPUT);\n\t\t\t\t}\t\t\t\t\n\t\t\t}\n\t\t});\n\t}\n\t// If we're being viewed on a data: URI then give instructions for how to save\n\tif(document.location.protocol === \"data:\") {\n\t\t$tw.rootWidget.dispatchEvent({\n\t\t\ttype: \"tm-modal\",\n\t\t\tparam: \"$:/language/Modals/SaveInstructions\"\n\t\t});\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup.js": {
"title": "$:/core/modules/startup.js",
"text": "/*\\\ntitle: $:/core/modules/startup.js\ntype: application/javascript\nmodule-type: startup\n\nMiscellaneous startup logic for both the client and server.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"startup\";\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\n// Set to `true` to enable performance instrumentation\nvar PERFORMANCE_INSTRUMENTATION_CONFIG_TITLE = \"$:/config/Performance/Instrumentation\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.startup = function() {\n\tvar modules,n,m,f;\n\t// Minimal browser detection\n\tif($tw.browser) {\n\t\t$tw.browser.isIE = (/msie|trident/i.test(navigator.userAgent));\n\t\t$tw.browser.isFirefox = !!document.mozFullScreenEnabled;\n\t}\n\t// Platform detection\n\t$tw.platform = {};\n\tif($tw.browser) {\n\t\t$tw.platform.isMac = /Mac/.test(navigator.platform);\n\t\t$tw.platform.isWindows = /win/i.test(navigator.platform);\n\t\t$tw.platform.isLinux = /Linux/i.test(navigator.platform);\n\t} else {\n\t\tswitch(require(\"os\").platform()) {\n\t\t\tcase \"darwin\":\n\t\t\t\t$tw.platform.isMac = true;\n\t\t\t\tbreak;\n\t\t\tcase \"win32\":\n\t\t\t\t$tw.platform.isWindows = true;\n\t\t\t\tbreak;\n\t\t\tcase \"freebsd\":\n\t\t\t\t$tw.platform.isLinux = true;\n\t\t\t\tbreak;\n\t\t\tcase \"linux\":\n\t\t\t\t$tw.platform.isLinux = true;\n\t\t\t\tbreak;\n\t\t}\n\t}\n\t// Initialise version\n\t$tw.version = $tw.utils.extractVersionInfo();\n\t// Set up the performance framework\n\t$tw.perf = new $tw.Performance($tw.wiki.getTiddlerText(PERFORMANCE_INSTRUMENTATION_CONFIG_TITLE,\"no\") === \"yes\");\n\t// Create a root widget for attaching event handlers. By using it as the parentWidget for another widget tree, one can reuse the event handlers\n\t$tw.rootWidget = new widget.widget({\n\t\ttype: \"widget\",\n\t\tchildren: []\n\t},{\n\t\twiki: $tw.wiki,\n\t\tdocument: $tw.browser ? document : $tw.fakeDocument\n\t});\n\t// Execute any startup actions\n\tvar executeStartupTiddlers = function(tag) {\n\t\t$tw.utils.each($tw.wiki.filterTiddlers(\"[all[shadows+tiddlers]tag[\" + tag + \"]!has[draft.of]]\"),function(title) {\n\t\t\t$tw.rootWidget.invokeActionString($tw.wiki.getTiddlerText(title),$tw.rootWidget);\n\t\t});\n\t};\n\texecuteStartupTiddlers(\"$:/tags/StartupAction\");\n\tif($tw.browser) {\n\t\texecuteStartupTiddlers(\"$:/tags/StartupAction/Browser\");\t\t\n\t}\n\tif($tw.node) {\n\t\texecuteStartupTiddlers(\"$:/tags/StartupAction/Node\");\t\t\n\t}\n\t// Kick off the language manager and switcher\n\t$tw.language = new $tw.Language();\n\t$tw.languageSwitcher = new $tw.PluginSwitcher({\n\t\twiki: $tw.wiki,\n\t\tpluginType: \"language\",\n\t\tcontrollerTitle: \"$:/language\",\n\t\tdefaultPlugins: [\n\t\t\t\"$:/languages/en-GB\"\n\t\t],\n\t\tonSwitch: function(plugins) {\n\t\t\tif($tw.browser) {\n\t\t\t\tvar pluginTiddler = $tw.wiki.getTiddler(plugins[0]);\n\t\t\t\tif(pluginTiddler) {\n\t\t\t\t\tdocument.documentElement.setAttribute(\"dir\",pluginTiddler.getFieldString(\"text-direction\") || \"auto\");\n\t\t\t\t} else {\n\t\t\t\t\tdocument.documentElement.removeAttribute(\"dir\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\t// Kick off the theme manager\n\t$tw.themeManager = new $tw.PluginSwitcher({\n\t\twiki: $tw.wiki,\n\t\tpluginType: \"theme\",\n\t\tcontrollerTitle: \"$:/theme\",\n\t\tdefaultPlugins: [\n\t\t\t\"$:/themes/tiddlywiki/snowwhite\",\n\t\t\t\"$:/themes/tiddlywiki/vanilla\"\n\t\t]\n\t});\n\t// Kick off the keyboard manager\n\t$tw.keyboardManager = new $tw.KeyboardManager();\n\t// Listen for shortcuts\n\tif($tw.browser) {\n\t\t$tw.utils.addEventListeners(document,[{\n\t\t\tname: \"keydown\",\n\t\t\thandlerObject: $tw.keyboardManager,\n\t\t\thandlerMethod: \"handleKeydownEvent\"\n\t\t}]);\n\t}\n\t// Clear outstanding tiddler store change events to avoid an unnecessary refresh cycle at startup\n\t$tw.wiki.clearTiddlerEventQueue();\n\t// Find a working syncadaptor\n\t$tw.syncadaptor = undefined;\n\t$tw.modules.forEachModuleOfType(\"syncadaptor\",function(title,module) {\n\t\tif(!$tw.syncadaptor && module.adaptorClass) {\n\t\t\t$tw.syncadaptor = new module.adaptorClass({wiki: $tw.wiki});\n\t\t}\n\t});\n\t// Set up the syncer object if we've got a syncadaptor\n\tif($tw.syncadaptor) {\n\t\t$tw.syncer = new $tw.Syncer({wiki: $tw.wiki, syncadaptor: $tw.syncadaptor});\n\t}\n\t// Setup the saver handler\n\t$tw.saverHandler = new $tw.SaverHandler({\n\t\twiki: $tw.wiki,\n\t\tdirtyTracking: !$tw.syncadaptor,\n\t\tpreloadDirty: $tw.boot.preloadDirty || []\n\t});\n\t// Host-specific startup\n\tif($tw.browser) {\n\t\t// Install the popup manager\n\t\t$tw.popup = new $tw.utils.Popup();\n\t\t// Install the animator\n\t\t$tw.anim = new $tw.utils.Animator();\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/story.js": {
"title": "$:/core/modules/startup/story.js",
"text": "/*\\\ntitle: $:/core/modules/startup/story.js\ntype: application/javascript\nmodule-type: startup\n\nLoad core modules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"story\";\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Default story and history lists\nvar DEFAULT_STORY_TITLE = \"$:/StoryList\";\nvar DEFAULT_HISTORY_TITLE = \"$:/HistoryList\";\n\n// Default tiddlers\nvar DEFAULT_TIDDLERS_TITLE = \"$:/DefaultTiddlers\";\n\n// Config\nvar CONFIG_UPDATE_ADDRESS_BAR = \"$:/config/Navigation/UpdateAddressBar\"; // Can be \"no\", \"permalink\", \"permaview\"\nvar CONFIG_UPDATE_HISTORY = \"$:/config/Navigation/UpdateHistory\"; // Can be \"yes\" or \"no\"\nvar CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD = \"$:/config/Navigation/Permalinkview/CopyToClipboard\"; // Can be \"yes\" (default) or \"no\"\nvar CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR = \"$:/config/Navigation/Permalinkview/UpdateAddressBar\"; // Can be \"yes\" (default) or \"no\"\n\n\n// Links to help, if there is no param\nvar HELP_OPEN_EXTERNAL_WINDOW = \"http://tiddlywiki.com/#WidgetMessage%3A%20tm-open-external-window\";\n\nexports.startup = function() {\n\t// Open startup tiddlers\n\topenStartupTiddlers({\n\t\tdisableHistory: $tw.boot.disableStartupNavigation\n\t});\n\tif($tw.browser) {\n\t\t// Set up location hash update\n\t\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\t\tif($tw.utils.hop(changes,DEFAULT_STORY_TITLE) || $tw.utils.hop(changes,DEFAULT_HISTORY_TITLE)) {\n\t\t\t\tupdateLocationHash({\n\t\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_UPDATE_ADDRESS_BAR,\"permaview\").trim(),\n\t\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim()\n\t\t\t\t});\n\t\t\t}\n\t\t});\n\t\t// Listen for changes to the browser location hash\n\t\twindow.addEventListener(\"hashchange\",function() {\n\t\t\tvar hash = $tw.utils.getLocationHash();\n\t\t\tif(hash !== $tw.locationHash) {\n\t\t\t\t$tw.locationHash = hash;\n\t\t\t\topenStartupTiddlers({defaultToCurrentStory: true});\n\t\t\t}\n\t\t},false);\n\t\t// Listen for the tm-browser-refresh message\n\t\t$tw.rootWidget.addEventListener(\"tm-browser-refresh\",function(event) {\n\t\t\twindow.location.reload(true);\n\t\t});\n\t\t// Listen for tm-open-external-window message\n\t\t$tw.rootWidget.addEventListener(\"tm-open-external-window\",function(event) {\n\t\t\tvar paramObject = event.paramObject || {},\n\t\t\t\tstrUrl = event.param || HELP_OPEN_EXTERNAL_WINDOW,\n\t\t\t\tstrWindowName = paramObject.windowName,\n\t\t\t\tstrWindowFeatures = paramObject.windowFeatures;\n\t\t\twindow.open(strUrl, strWindowName, strWindowFeatures);\n\t\t});\n\t\t// Listen for the tm-print message\n\t\t$tw.rootWidget.addEventListener(\"tm-print\",function(event) {\n\t\t\t(event.event.view || window).print();\n\t\t});\n\t\t// Listen for the tm-home message\n\t\t$tw.rootWidget.addEventListener(\"tm-home\",function(event) {\n\t\t\twindow.location.hash = \"\";\n\t\t\tvar storyFilter = $tw.wiki.getTiddlerText(DEFAULT_TIDDLERS_TITLE),\n\t\t\t\tstoryList = $tw.wiki.filterTiddlers(storyFilter);\n\t\t\t//invoke any hooks that might change the default story list\n\t\t\tstoryList = $tw.hooks.invokeHook(\"th-opening-default-tiddlers-list\",storyList);\n\t\t\t$tw.wiki.addTiddler({title: DEFAULT_STORY_TITLE, text: \"\", list: storyList},$tw.wiki.getModificationFields());\n\t\t\tif(storyList[0]) {\n\t\t\t\t$tw.wiki.addToHistory(storyList[0]);\n\t\t\t}\n\t\t});\n\t\t// Listen for the tm-permalink message\n\t\t$tw.rootWidget.addEventListener(\"tm-permalink\",function(event) {\n\t\t\tupdateLocationHash({\n\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR,\"yes\").trim() === \"yes\" ? \"permalink\" : \"none\",\n\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim(),\n\t\t\t\ttargetTiddler: event.param || event.tiddlerTitle,\n\t\t\t\tcopyToClipboard: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD,\"yes\").trim() === \"yes\" ? \"permalink\" : \"none\"\n\t\t\t});\n\t\t});\n\t\t// Listen for the tm-permaview message\n\t\t$tw.rootWidget.addEventListener(\"tm-permaview\",function(event) {\n\t\t\tupdateLocationHash({\n\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR,\"yes\").trim() === \"yes\" ? \"permaview\" : \"none\",\n\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim(),\n\t\t\t\ttargetTiddler: event.param || event.tiddlerTitle,\n\t\t\t\tcopyToClipboard: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD,\"yes\").trim() === \"yes\" ? \"permaview\" : \"none\"\n\t\t\t});\t\t\t\t\n\t\t});\n\t}\n};\n\n/*\nProcess the location hash to open the specified tiddlers. Options:\ndisableHistory: if true $:/History is NOT updated\ndefaultToCurrentStory: If true, the current story is retained as the default, instead of opening the default tiddlers\n*/\nfunction openStartupTiddlers(options) {\n\toptions = options || {};\n\t// Work out the target tiddler and the story filter. \"null\" means \"unspecified\"\n\tvar target = null,\n\t\tstoryFilter = null;\n\tif($tw.locationHash.length > 1) {\n\t\tvar hash = $tw.locationHash.substr(1),\n\t\t\tsplit = hash.indexOf(\":\");\n\t\tif(split === -1) {\n\t\t\ttarget = decodeURIComponent(hash.trim());\n\t\t} else {\n\t\t\ttarget = decodeURIComponent(hash.substr(0,split).trim());\n\t\t\tstoryFilter = decodeURIComponent(hash.substr(split + 1).trim());\n\t\t}\n\t}\n\t// If the story wasn't specified use the current tiddlers or a blank story\n\tif(storyFilter === null) {\n\t\tif(options.defaultToCurrentStory) {\n\t\t\tvar currStoryList = $tw.wiki.getTiddlerList(DEFAULT_STORY_TITLE);\n\t\t\tstoryFilter = $tw.utils.stringifyList(currStoryList);\n\t\t} else {\n\t\t\tif(target && target !== \"\") {\n\t\t\t\tstoryFilter = \"\";\n\t\t\t} else {\n\t\t\t\tstoryFilter = $tw.wiki.getTiddlerText(DEFAULT_TIDDLERS_TITLE);\n\t\t\t}\n\t\t}\n\t}\n\t// Process the story filter to get the story list\n\tvar storyList = $tw.wiki.filterTiddlers(storyFilter);\n\t// Invoke any hooks that want to change the default story list\n\tstoryList = $tw.hooks.invokeHook(\"th-opening-default-tiddlers-list\",storyList);\n\t// If the target tiddler isn't included then splice it in at the top\n\tif(target && storyList.indexOf(target) === -1) {\n\t\tstoryList.unshift(target);\n\t}\n\t// Save the story list\n\t$tw.wiki.addTiddler({title: DEFAULT_STORY_TITLE, text: \"\", list: storyList},$tw.wiki.getModificationFields());\n\t// Update history\n\tif(!options.disableHistory) {\n\t\t// If a target tiddler was specified add it to the history stack\n\t\tif(target && target !== \"\") {\n\t\t\t// The target tiddler doesn't need double square brackets, but we'll silently remove them if they're present\n\t\t\tif(target.indexOf(\"[[\") === 0 && target.substr(-2) === \"]]\") {\n\t\t\t\ttarget = target.substr(2,target.length - 4);\n\t\t\t}\n\t\t\t$tw.wiki.addToHistory(target);\n\t\t} else if(storyList.length > 0) {\n\t\t\t$tw.wiki.addToHistory(storyList[0]);\n\t\t}\t\t\n\t}\n}\n\n/*\noptions: See below\noptions.updateAddressBar: \"permalink\", \"permaview\" or \"no\" (defaults to \"permaview\")\noptions.updateHistory: \"yes\" or \"no\" (defaults to \"no\")\noptions.copyToClipboard: \"permalink\", \"permaview\" or \"no\" (defaults to \"no\")\noptions.targetTiddler: optional title of target tiddler for permalink\n*/\nfunction updateLocationHash(options) {\n\t// Get the story and the history stack\n\tvar storyList = $tw.wiki.getTiddlerList(DEFAULT_STORY_TITLE),\n\t\thistoryList = $tw.wiki.getTiddlerData(DEFAULT_HISTORY_TITLE,[]),\n\t\ttargetTiddler = \"\";\n\tif(options.targetTiddler) {\n\t\ttargetTiddler = options.targetTiddler;\n\t} else {\n\t\t// The target tiddler is the one at the top of the stack\n\t\tif(historyList.length > 0) {\n\t\t\ttargetTiddler = historyList[historyList.length-1].title;\n\t\t}\n\t\t// Blank the target tiddler if it isn't present in the story\n\t\tif(storyList.indexOf(targetTiddler) === -1) {\n\t\t\ttargetTiddler = \"\";\n\t\t}\n\t}\n\t// Assemble the location hash\n\tswitch(options.updateAddressBar) {\n\t\tcase \"permalink\":\n\t\t\t$tw.locationHash = \"#\" + encodeURIComponent(targetTiddler);\n\t\t\tbreak;\n\t\tcase \"permaview\":\n\t\t\t$tw.locationHash = \"#\" + encodeURIComponent(targetTiddler) + \":\" + encodeURIComponent($tw.utils.stringifyList(storyList));\n\t\t\tbreak;\n\t}\n\t// Copy URL to the clipboard\n\tswitch(options.copyToClipboard) {\n\t\tcase \"permalink\":\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getLocationPath() + \"#\" + encodeURIComponent(targetTiddler));\n\t\t\tbreak;\n\t\tcase \"permaview\":\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getLocationPath() + \"#\" + encodeURIComponent(targetTiddler) + \":\" + encodeURIComponent($tw.utils.stringifyList(storyList)));\n\t\t\tbreak;\n\t}\n\t// Only change the location hash if we must, thus avoiding unnecessary onhashchange events\n\tif($tw.utils.getLocationHash() !== $tw.locationHash) {\n\t\tif(options.updateHistory === \"yes\") {\n\t\t\t// Assign the location hash so that history is updated\n\t\t\twindow.location.hash = $tw.locationHash;\n\t\t} else {\n\t\t\t// We use replace so that browser history isn't affected\n\t\t\twindow.location.replace(window.location.toString().split(\"#\")[0] + $tw.locationHash);\n\t\t}\n\t}\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/windows.js": {
"title": "$:/core/modules/startup/windows.js",
"text": "/*\\\ntitle: $:/core/modules/startup/windows.js\ntype: application/javascript\nmodule-type: startup\n\nSetup root widget handlers for the messages concerned with opening external browser windows\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"windows\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Global to keep track of open windows (hashmap by title)\nvar windows = {};\n\nexports.startup = function() {\n\t// Handle open window message\n\t$tw.rootWidget.addEventListener(\"tm-open-window\",function(event) {\n\t\t// Get the parameters\n\t\tvar refreshHandler,\n\t\t\ttitle = event.param || event.tiddlerTitle,\n\t\t\tparamObject = event.paramObject || {},\n\t\t\twindowTitle = paramObject.windowTitle || title,\n\t\t\ttemplate = paramObject.template || \"$:/core/templates/single.tiddler.window\",\n\t\t\twidth = paramObject.width || \"700\",\n\t\t\theight = paramObject.height || \"600\",\n\t\t\tvariables = $tw.utils.extend({},paramObject,{currentTiddler: title});\n\t\t// Open the window\n\t\tvar srcWindow,\n\t\t srcDocument;\n\t\t// In case that popup blockers deny opening a new window\n\t\ttry {\n\t\t\tsrcWindow = window.open(\"\",\"external-\" + title,\"scrollbars,width=\" + width + \",height=\" + height),\n\t\t\tsrcDocument = srcWindow.document;\n\t\t}\n\t\tcatch(e) {\n\t\t\treturn;\n\t\t}\n\t\twindows[title] = srcWindow;\n\t\t// Check for reopening the same window\n\t\tif(srcWindow.haveInitialisedWindow) {\n\t\t\treturn;\n\t\t}\n\t\t// Initialise the document\n\t\tsrcDocument.write(\"<html><head></head><body class='tc-body tc-single-tiddler-window'></body></html>\");\n\t\tsrcDocument.close();\n\t\tsrcDocument.title = windowTitle;\n\t\tsrcWindow.addEventListener(\"beforeunload\",function(event) {\n\t\t\tdelete windows[title];\n\t\t\t$tw.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t},false);\n\t\t// Set up the styles\n\t\tvar styleWidgetNode = $tw.wiki.makeTranscludeWidget(\"$:/core/ui/PageStylesheet\",{\n\t\t\t\tdocument: $tw.fakeDocument,\n\t\t\t\tvariables: variables,\n\t\t\t\timportPageMacros: true}),\n\t\t\tstyleContainer = $tw.fakeDocument.createElement(\"style\");\n\t\tstyleWidgetNode.render(styleContainer,null);\n\t\tvar styleElement = srcDocument.createElement(\"style\");\n\t\tstyleElement.innerHTML = styleContainer.textContent;\n\t\tsrcDocument.head.insertBefore(styleElement,srcDocument.head.firstChild);\n\t\t// Render the text of the tiddler\n\t\tvar parser = $tw.wiki.parseTiddler(template),\n\t\t\twidgetNode = $tw.wiki.makeWidget(parser,{document: srcDocument, parentWidget: $tw.rootWidget, variables: variables});\n\t\twidgetNode.render(srcDocument.body,srcDocument.body.firstChild);\n\t\t// Function to handle refreshes\n\t\trefreshHandler = function(changes) {\n\t\t\tif(styleWidgetNode.refresh(changes,styleContainer,null)) {\n\t\t\t\tstyleElement.innerHTML = styleContainer.textContent;\n\t\t\t}\n\t\t\twidgetNode.refresh(changes);\n\t\t};\n\t\t$tw.wiki.addEventListener(\"change\",refreshHandler);\n\t\t// Listen for keyboard shortcuts\n\t\t$tw.utils.addEventListeners(srcDocument,[{\n\t\t\tname: \"keydown\",\n\t\t\thandlerObject: $tw.keyboardManager,\n\t\t\thandlerMethod: \"handleKeydownEvent\"\n\t\t},{\n\t\t\tname: \"click\",\n\t\t\thandlerObject: $tw.popup,\n\t\t\thandlerMethod: \"handleEvent\"\n\t\t}]);\n\t\tsrcWindow.haveInitialisedWindow = true;\n\t});\n\t// Close open windows when unloading main window\n\t$tw.addUnloadTask(function() {\n\t\t$tw.utils.each(windows,function(win) {\n\t\t\twin.close();\n\t\t});\n\t});\n\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/story.js": {
"title": "$:/core/modules/story.js",
"text": "/*\\\ntitle: $:/core/modules/story.js\ntype: application/javascript\nmodule-type: global\n\nLightweight object for managing interactions with the story and history lists.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nConstruct Story object with options:\nwiki: reference to wiki object to use to resolve tiddler titles\nstoryTitle: title of story list tiddler\nhistoryTitle: title of history list tiddler\n*/\nfunction Story(options) {\n\toptions = options || {};\n\tthis.wiki = options.wiki || $tw.wiki;\n\tthis.storyTitle = options.storyTitle || \"$:/StoryList\";\n\tthis.historyTitle = options.historyTitle || \"$:/HistoryList\";\n};\n\nStory.prototype.navigateTiddler = function(navigateTo,navigateFromTitle,navigateFromClientRect) {\n\tthis.addToStory(navigateTo,navigateFromTitle);\n\tthis.addToHistory(navigateTo,navigateFromClientRect);\n};\n\nStory.prototype.getStoryList = function() {\n\treturn this.wiki.getTiddlerList(this.storyTitle) || [];\n};\n\nStory.prototype.addToStory = function(navigateTo,navigateFromTitle,options) {\n\toptions = options || {};\n\tvar storyList = this.getStoryList();\n\t// See if the tiddler is already there\n\tvar slot = storyList.indexOf(navigateTo);\n\t// Quit if it already exists in the story river\n\tif(slot >= 0) {\n\t\treturn;\n\t}\n\t// First we try to find the position of the story element we navigated from\n\tvar fromIndex = storyList.indexOf(navigateFromTitle);\n\tif(fromIndex >= 0) {\n\t\t// The tiddler is added from inside the river\n\t\t// Determine where to insert the tiddler; Fallback is \"below\"\n\t\tswitch(options.openLinkFromInsideRiver) {\n\t\t\tcase \"top\":\n\t\t\t\tslot = 0;\n\t\t\t\tbreak;\n\t\t\tcase \"bottom\":\n\t\t\t\tslot = storyList.length;\n\t\t\t\tbreak;\n\t\t\tcase \"above\":\n\t\t\t\tslot = fromIndex;\n\t\t\t\tbreak;\n\t\t\tcase \"below\": // Intentional fall-through\n\t\t\tdefault:\n\t\t\t\tslot = fromIndex + 1;\n\t\t\t\tbreak;\n\t\t}\n\t} else {\n\t\t// The tiddler is opened from outside the river. Determine where to insert the tiddler; default is \"top\"\n\t\tif(options.openLinkFromOutsideRiver === \"bottom\") {\n\t\t\t// Insert at bottom\n\t\t\tslot = storyList.length;\n\t\t} else {\n\t\t\t// Insert at top\n\t\t\tslot = 0;\n\t\t}\n\t}\n\t// Add the tiddler\n\tstoryList.splice(slot,0,navigateTo);\n\t// Save the story\n\tthis.saveStoryList(storyList);\n};\n\nStory.prototype.saveStoryList = function(storyList) {\n\tvar storyTiddler = this.wiki.getTiddler(this.storyTitle);\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\tthis.wiki.getCreationFields(),\n\t\t{title: this.storyTitle},\n\t\tstoryTiddler,\n\t\t{list: storyList},\n\t\tthis.wiki.getModificationFields()\n\t));\n};\n\nStory.prototype.addToHistory = function(navigateTo,navigateFromClientRect) {\n\tvar titles = $tw.utils.isArray(navigateTo) ? navigateTo : [navigateTo];\n\t// Add a new record to the top of the history stack\n\tvar historyList = this.wiki.getTiddlerData(this.historyTitle,[]);\n\t$tw.utils.each(titles,function(title) {\n\t\thistoryList.push({title: title, fromPageRect: navigateFromClientRect});\n\t});\n\tthis.wiki.setTiddlerData(this.historyTitle,historyList,{\"current-tiddler\": titles[titles.length-1]});\n};\n\nStory.prototype.storyCloseTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyCloseAllTiddlers = function() {\n// TBD\n};\n\nStory.prototype.storyCloseOtherTiddlers = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyEditTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyDeleteTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storySaveTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyCancelTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyNewTiddler = function(targetTitle) {\n// TBD\n};\n\nexports.Story = Story;\n\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/storyviews/classic.js": {
"title": "$:/core/modules/storyviews/classic.js",
"text": "/*\\\ntitle: $:/core/modules/storyviews/classic.js\ntype: application/javascript\nmodule-type: storyview\n\nViews the story as a linear sequence\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar ClassicStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nClassicStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar duration = $tw.utils.getAnimationDuration()\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\tif(duration) {\n\t\t// Scroll the node into view\n\t\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\t\n\t} else {\n\t\ttargetElement.scrollIntoView();\n\t}\n};\n\nClassicStoryView.prototype.insert = function(widget) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tif(duration) {\n\t\tvar targetElement = widget.findFirstDomNode();\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(targetElement instanceof Element)) {\n\t\t\treturn;\n\t\t}\n\t\t// Get the current height of the tiddler\n\t\tvar computedStyle = window.getComputedStyle(targetElement),\n\t\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t\t// Reset the margin once the transition is over\n\t\tsetTimeout(function() {\n\t\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t\t{transition: \"none\"},\n\t\t\t\t{marginBottom: \"\"}\n\t\t\t]);\n\t\t},duration);\n\t\t// Set up the initial position of the element\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t\t{opacity: \"0.0\"}\n\t\t]);\n\t\t$tw.utils.forceLayout(targetElement);\n\t\t// Transition to the final position\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t\t{opacity: \"1.0\"}\n\t]);\n\t}\n};\n\nClassicStoryView.prototype.remove = function(widget) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tif(duration) {\n\t\tvar targetElement = widget.findFirstDomNode(),\n\t\t\tremoveElement = function() {\n\t\t\t\twidget.removeChildDomNodes();\n\t\t\t};\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(targetElement instanceof Element)) {\n\t\t\tremoveElement();\n\t\t\treturn;\n\t\t}\n\t\t// Get the current height of the tiddler\n\t\tvar currWidth = targetElement.offsetWidth,\n\t\t\tcomputedStyle = window.getComputedStyle(targetElement),\n\t\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t\t// Remove the dom nodes of the widget at the end of the transition\n\t\tsetTimeout(removeElement,duration);\n\t\t// Animate the closure\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{transform: \"translateX(0px)\"},\n\t\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t\t{opacity: \"1.0\"}\n\t\t]);\n\t\t$tw.utils.forceLayout(targetElement);\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t\t{transform: \"translateX(-\" + currWidth + \"px)\"},\n\t\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t\t{opacity: \"0.0\"}\n\t\t]);\n\t} else {\n\t\twidget.removeChildDomNodes();\n\t}\n};\n\nexports.classic = ClassicStoryView;\n\n})();",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/core/modules/storyviews/pop.js": {
"title": "$:/core/modules/storyviews/pop.js",
"text": "/*\\\ntitle: $:/core/modules/storyviews/pop.js\ntype: application/javascript\nmodule-type: storyview\n\nAnimates list insertions and removals\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar PopStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nPopStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Scroll the node into view\n\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\n};\n\nPopStoryView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Reset once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{transform: \"none\"}\n\t\t]);\n\t\t$tw.utils.setStyle(widget.document.body,[\n\t\t\t{\"overflow-x\": \"\"}\n\t\t]);\n\t},duration);\n\t// Prevent the page from overscrolling due to the zoom factor\n\t$tw.utils.setStyle(widget.document.body,[\n\t\t{\"overflow-x\": \"hidden\"}\n\t]);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"scale(2)\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t// Transition to the final position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{transform: \"scale(1)\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n};\n\nPopStoryView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\tif(targetElement && targetElement.parentNode) {\n\t\t\t\twidget.removeChildDomNodes();\n\t\t\t}\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Remove the element at the end of the transition\n\tsetTimeout(removeElement,duration);\n\t// Animate the closure\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"scale(1)\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{transform: \"scale(0.1)\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n};\n\nexports.pop = PopStoryView;\n\n})();\n",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/core/modules/storyviews/zoomin.js": {
"title": "$:/core/modules/storyviews/zoomin.js",
"text": "/*\\\ntitle: $:/core/modules/storyviews/zoomin.js\ntype: application/javascript\nmodule-type: storyview\n\nZooms between individual tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar ZoominListView = function(listWidget) {\n\tvar self = this;\n\tthis.listWidget = listWidget;\n\t// Get the index of the tiddler that is at the top of the history\n\tvar history = this.listWidget.wiki.getTiddlerDataCached(this.listWidget.historyTitle,[]),\n\t\ttargetTiddler;\n\tif(history.length > 0) {\n\t\ttargetTiddler = history[history.length-1].title;\n\t}\n\t// Make all the tiddlers position absolute, and hide all but the top (or first) one\n\t$tw.utils.each(this.listWidget.children,function(itemWidget,index) {\n\t\tvar domNode = itemWidget.findFirstDomNode();\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(domNode instanceof Element)) {\n\t\t\treturn;\n\t\t}\n\t\tif((targetTiddler && targetTiddler !== itemWidget.parseTreeNode.itemTitle) || (!targetTiddler && index)) {\n\t\t\tdomNode.style.display = \"none\";\n\t\t} else {\n\t\t\tself.currentTiddlerDomNode = domNode;\n\t\t}\n\t\t$tw.utils.addClass(domNode,\"tc-storyview-zoomin-tiddler\");\n\t});\n};\n\nZoominListView.prototype.navigateTo = function(historyInfo) {\n\tvar duration = $tw.utils.getAnimationDuration(),\n\t\tlistElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Make the new tiddler be position absolute and visible so that we can measure it\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"block\"},\n\t\t{transformOrigin: \"0 0\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{transition: \"none\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t// Get the position of the source node, or use the centre of the window as the source position\n\tvar sourceBounds = historyInfo.fromPageRect || {\n\t\t\tleft: window.innerWidth/2 - 2,\n\t\t\ttop: window.innerHeight/2 - 2,\n\t\t\twidth: window.innerWidth/8,\n\t\t\theight: window.innerHeight/8\n\t\t};\n\t// Try to find the title node in the target tiddler\n\tvar titleDomNode = findTitleDomNode(listItemWidget) || listItemWidget.findFirstDomNode(),\n\t\tzoomBounds = titleDomNode.getBoundingClientRect();\n\t// Compute the transform for the target tiddler to make the title lie over the source rectange\n\tvar targetBounds = targetElement.getBoundingClientRect(),\n\t\tscale = sourceBounds.width / zoomBounds.width,\n\t\tx = sourceBounds.left - targetBounds.left - (zoomBounds.left - targetBounds.left) * scale,\n\t\ty = sourceBounds.top - targetBounds.top - (zoomBounds.top - targetBounds.top) * scale;\n\t// Transform the target tiddler to its starting position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transform: \"translateX(\" + x + \"px) translateY(\" + y + \"px) scale(\" + scale + \")\"}\n\t]);\n\t// Force layout\n\t$tw.utils.forceLayout(targetElement);\n\t// Apply the ending transitions with a timeout to ensure that the previously applied transformations are applied first\n\tvar self = this,\n\t\tprevCurrentTiddler = this.currentTiddlerDomNode;\n\tthis.currentTiddlerDomNode = targetElement;\n\t// Transform the target tiddler to its natural size\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t{opacity: \"1.0\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{zIndex: \"500\"},\n\t]);\n\t// Transform the previous tiddler out of the way and then hide it\n\tif(prevCurrentTiddler && prevCurrentTiddler !== targetElement) {\n\t\tscale = zoomBounds.width / sourceBounds.width;\n\t\tx = zoomBounds.left - targetBounds.left - (sourceBounds.left - targetBounds.left) * scale;\n\t\ty = zoomBounds.top - targetBounds.top - (sourceBounds.top - targetBounds.top) * scale;\n\t\t$tw.utils.setStyle(prevCurrentTiddler,[\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t\t{opacity: \"0.0\"},\n\t\t\t{transformOrigin: \"0 0\"},\n\t\t\t{transform: \"translateX(\" + x + \"px) translateY(\" + y + \"px) scale(\" + scale + \")\"},\n\t\t\t{zIndex: \"0\"}\n\t\t]);\n\t\t// Hide the tiddler when the transition has finished\n\t\tsetTimeout(function() {\n\t\t\tif(self.currentTiddlerDomNode !== prevCurrentTiddler) {\n\t\t\t\tprevCurrentTiddler.style.display = \"none\";\n\t\t\t}\n\t\t},duration);\n\t}\n\t// Scroll the target into view\n//\t$tw.pageScroller.scrollIntoView(targetElement);\n};\n\n/*\nFind the first child DOM node of a widget that has the class \"tc-title\"\n*/\nfunction findTitleDomNode(widget,targetClass) {\n\ttargetClass = targetClass || \"tc-title\";\n\tvar domNode = widget.findFirstDomNode();\n\tif(domNode && domNode.querySelector) {\n\t\treturn domNode.querySelector(\".\" + targetClass);\n\t}\n\treturn null;\n}\n\nZoominListView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Make the newly inserted node position absolute and hidden\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"none\"}\n\t]);\n};\n\nZoominListView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\twidget.removeChildDomNodes();\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Abandon if hidden\n\tif(targetElement.style.display != \"block\" ) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Set up the tiddler that is being closed\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"block\"},\n\t\t{transformOrigin: \"50% 50%\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{transition: \"none\"},\n\t\t{zIndex: \"0\"}\n\t]);\n\t// We'll move back to the previous or next element in the story\n\tvar toWidget = widget.previousSibling();\n\tif(!toWidget) {\n\t\ttoWidget = widget.nextSibling();\n\t}\n\tvar toWidgetDomNode = toWidget && toWidget.findFirstDomNode();\n\t// Set up the tiddler we're moving back in\n\tif(toWidgetDomNode) {\n\t\t$tw.utils.addClass(toWidgetDomNode,\"tc-storyview-zoomin-tiddler\");\n\t\t$tw.utils.setStyle(toWidgetDomNode,[\n\t\t\t{display: \"block\"},\n\t\t\t{transformOrigin: \"50% 50%\"},\n\t\t\t{transform: \"translateX(0px) translateY(0px) scale(10)\"},\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t\t{opacity: \"0\"},\n\t\t\t{zIndex: \"500\"}\n\t\t]);\n\t\tthis.currentTiddlerDomNode = toWidgetDomNode;\n\t}\n\t// Animate them both\n\t// Force layout\n\t$tw.utils.forceLayout(this.listWidget.parentDomNode);\n\t// First, the tiddler we're closing\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transformOrigin: \"50% 50%\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(0.1)\"},\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t{opacity: \"0\"},\n\t\t{zIndex: \"0\"}\n\t]);\n\tsetTimeout(removeElement,duration);\n\t// Now the tiddler we're going back to\n\tif(toWidgetDomNode) {\n\t\t$tw.utils.setStyle(toWidgetDomNode,[\n\t\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t\t{opacity: \"1\"}\n\t\t]);\n\t}\n\treturn true; // Indicate that we'll delete the DOM node\n};\n\nexports.zoomin = ZoominListView;\n\n})();\n",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/core/modules/syncer.js": {
"title": "$:/core/modules/syncer.js",
"text": "/*\\\ntitle: $:/core/modules/syncer.js\ntype: application/javascript\nmodule-type: global\n\nThe syncer tracks changes to the store and synchronises them to a remote data store represented as a \"sync adaptor\"\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nDefaults\n*/\nSyncer.prototype.titleIsLoggedIn = \"$:/status/IsLoggedIn\";\nSyncer.prototype.titleIsAnonymous = \"$:/status/IsAnonymous\";\nSyncer.prototype.titleIsReadOnly = \"$:/status/IsReadOnly\";\nSyncer.prototype.titleUserName = \"$:/status/UserName\";\nSyncer.prototype.titleSyncFilter = \"$:/config/SyncFilter\";\nSyncer.prototype.titleSyncPollingInterval = \"$:/config/SyncPollingInterval\";\nSyncer.prototype.titleSyncDisableLazyLoading = \"$:/config/SyncDisableLazyLoading\";\nSyncer.prototype.titleSavedNotification = \"$:/language/Notifications/Save/Done\";\nSyncer.prototype.titleSyncThrottleInterval = \"$:/config/SyncThrottleInterval\";\nSyncer.prototype.taskTimerInterval = 1 * 1000; // Interval for sync timer\nSyncer.prototype.throttleInterval = 1 * 1000; // Defer saving tiddlers if they've changed in the last 1s...\nSyncer.prototype.errorRetryInterval = 5 * 1000; // Interval to retry after an error\nSyncer.prototype.fallbackInterval = 10 * 1000; // Unless the task is older than 10s\nSyncer.prototype.pollTimerInterval = 60 * 1000; // Interval for polling for changes from the adaptor\n\n/*\nInstantiate the syncer with the following options:\nsyncadaptor: reference to syncadaptor to be used\nwiki: wiki to be synced\n*/\nfunction Syncer(options) {\n\tvar self = this;\n\tthis.wiki = options.wiki;\n\t// Save parameters\n\tthis.syncadaptor = options.syncadaptor;\n\tthis.disableUI = !!options.disableUI;\n\tthis.titleIsLoggedIn = options.titleIsLoggedIn || this.titleIsLoggedIn;\n\tthis.titleUserName = options.titleUserName || this.titleUserName;\n\tthis.titleSyncFilter = options.titleSyncFilter || this.titleSyncFilter;\n\tthis.titleSavedNotification = options.titleSavedNotification || this.titleSavedNotification;\n\tthis.taskTimerInterval = options.taskTimerInterval || this.taskTimerInterval;\n\tthis.throttleInterval = options.throttleInterval || parseInt(this.wiki.getTiddlerText(this.titleSyncThrottleInterval,\"\"),10) || this.throttleInterval;\n\tthis.errorRetryInterval = options.errorRetryInterval || this.errorRetryInterval;\n\tthis.fallbackInterval = options.fallbackInterval || this.fallbackInterval;\n\tthis.pollTimerInterval = options.pollTimerInterval || parseInt(this.wiki.getTiddlerText(this.titleSyncPollingInterval,\"\"),10) || this.pollTimerInterval;\n\tthis.logging = \"logging\" in options ? options.logging : true;\n\t// Make a logger\n\tthis.logger = new $tw.utils.Logger(\"syncer\" + ($tw.browser ? \"-browser\" : \"\") + ($tw.node ? \"-server\" : \"\") + (this.syncadaptor.name ? (\"-\" + this.syncadaptor.name) : \"\"),{\n\t\tcolour: \"cyan\",\n\t\tenable: this.logging,\n\t\tsaveHistory: true\n\t});\n\t// Make another logger for connection errors\n\tthis.loggerConnection = new $tw.utils.Logger(\"syncer\" + ($tw.browser ? \"-browser\" : \"\") + ($tw.node ? \"-server\" : \"\") + (this.syncadaptor.name ? (\"-\" + this.syncadaptor.name) : \"\") + \"-connection\",{\n\t\tcolour: \"cyan\",\n\t\tenable: this.logging\n\t});\n\t// Ask the syncadaptor to use the main logger\n\tif(this.syncadaptor.setLoggerSaveBuffer) {\n\t\tthis.syncadaptor.setLoggerSaveBuffer(this.logger);\n\t}\n\t// Compile the dirty tiddler filter\n\tthis.filterFn = this.wiki.compileFilter(this.wiki.getTiddlerText(this.titleSyncFilter));\n\t// Record information for known tiddlers\n\tthis.readTiddlerInfo();\n\tthis.titlesToBeLoaded = {}; // Hashmap of titles of tiddlers that need loading from the server\n\tthis.titlesHaveBeenLazyLoaded = {}; // Hashmap of titles of tiddlers that have already been lazily loaded from the server\n\t// Timers\n\tthis.taskTimerId = null; // Timer for task dispatch\n\tthis.pollTimerId = null; // Timer for polling server\n\t// Number of outstanding requests\n\tthis.numTasksInProgress = 0;\n\t// Listen out for changes to tiddlers\n\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\t// Filter the changes to just include ones that are being synced\n\t\tvar filteredChanges = self.getSyncedTiddlers(function(callback) {\n\t\t\t$tw.utils.each(changes,function(change,title) {\n\t\t\t\tvar tiddler = self.wiki.tiddlerExists(title) && self.wiki.getTiddler(title);\n\t\t\t\tcallback(tiddler,title);\n\t\t\t});\n\t\t});\n\t\tif(filteredChanges.length > 0) {\n\t\t\tself.processTaskQueue();\n\t\t} else {\n\t\t\t// Look for deletions of tiddlers we're already syncing\t\n\t\t\tvar outstandingDeletion = false\n\t\t\t$tw.utils.each(changes,function(change,title,object) {\n\t\t\t\tif(change.deleted && $tw.utils.hop(self.tiddlerInfo,title)) {\n\t\t\t\t\toutstandingDeletion = true;\n\t\t\t\t}\n\t\t\t});\n\t\t\tif(outstandingDeletion) {\n\t\t\t\tself.processTaskQueue();\n\t\t\t}\n\t\t}\n\t});\n\t// Browser event handlers\n\tif($tw.browser && !this.disableUI) {\n\t\t// Set up our beforeunload handler\n\t\t$tw.addUnloadTask(function(event) {\n\t\t\tvar confirmationMessage;\n\t\t\tif(self.isDirty()) {\n\t\t\t\tconfirmationMessage = $tw.language.getString(\"UnsavedChangesWarning\");\n\t\t\t\tevent.returnValue = confirmationMessage; // Gecko\n\t\t\t}\n\t\t\treturn confirmationMessage;\n\t\t});\n\t\t// Listen out for login/logout/refresh events in the browser\n\t\t$tw.rootWidget.addEventListener(\"tm-login\",function() {\n\t\t\tself.handleLoginEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-logout\",function() {\n\t\t\tself.handleLogoutEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-server-refresh\",function() {\n\t\t\tself.handleRefreshEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-copy-syncer-logs-to-clipboard\",function() {\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getSystemInfo() + \"\\n\\nLog:\\n\" + self.logger.getBuffer());\n\t\t});\n\t}\n\t// Listen out for lazyLoad events\n\tif(!this.disableUI && $tw.wiki.getTiddlerText(this.titleSyncDisableLazyLoading) !== \"yes\") {\n\t\tthis.wiki.addEventListener(\"lazyLoad\",function(title) {\n\t\t\tself.handleLazyLoadEvent(title);\n\t\t});\t\t\n\t}\n\t// Get the login status\n\tthis.getStatus(function(err,isLoggedIn) {\n\t\t// Do a sync from the server\n\t\tself.syncFromServer();\n\t});\n}\n\n/*\nShow a generic network error alert\n*/\nSyncer.prototype.displayError = function(msg,err) {\n\tif(err === ($tw.language.getString(\"Error/XMLHttpRequest\") + \": 0\")) {\n\t\tthis.loggerConnection.alert($tw.language.getString(\"Error/NetworkErrorAlert\"));\n\t\tthis.logger.log(msg + \":\",err);\n\t} else {\n\t\tthis.logger.alert(msg + \":\",err);\n\t}\n};\n\n/*\nReturn an array of the tiddler titles that are subjected to syncing\n*/\nSyncer.prototype.getSyncedTiddlers = function(source) {\n\treturn this.filterFn.call(this.wiki,source);\n};\n\n/*\nReturn an array of the tiddler titles that are subjected to syncing\n*/\nSyncer.prototype.getTiddlerRevision = function(title) {\n\tif(this.syncadaptor && this.syncadaptor.getTiddlerRevision) {\n\t\treturn this.syncadaptor.getTiddlerRevision(title);\n\t} else {\n\t\treturn this.wiki.getTiddler(title).fields.revision;\t\n\t} \n};\n\n/*\nRead (or re-read) the latest tiddler info from the store\n*/\nSyncer.prototype.readTiddlerInfo = function() {\n\t// Hashmap by title of {revision:,changeCount:,adaptorInfo:}\n\t// \"revision\" is the revision of the tiddler last seen on the server, and \"changecount\" is the corresponding local changecount\n\tthis.tiddlerInfo = {};\n\t// Record information for known tiddlers\n\tvar self = this,\n\t\ttiddlers = this.getSyncedTiddlers();\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.wiki.tiddlerExists(title) && self.wiki.getTiddler(title);\n\t\tself.tiddlerInfo[title] = {\n\t\t\trevision: self.getTiddlerRevision(title),\n\t\t\tadaptorInfo: self.syncadaptor && self.syncadaptor.getTiddlerInfo(tiddler),\n\t\t\tchangeCount: self.wiki.getChangeCount(title)\n\t\t};\n\t});\n};\n\n/*\nChecks whether the wiki is dirty (ie the window shouldn't be closed)\n*/\nSyncer.prototype.isDirty = function() {\n\tthis.logger.log(\"Checking dirty status\");\n\t// Check tiddlers that are in the store and included in the filter function\n\tvar titles = this.getSyncedTiddlers();\n\tfor(var index=0; index<titles.length; index++) {\n\t\tvar title = titles[index],\n\t\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\tif(this.wiki.tiddlerExists(title)) {\n\t\t\tif(tiddlerInfo) {\n\t\t\t\t// If the tiddler is known on the server and has been modified locally then it needs to be saved to the server\n\t\t\t\tif($tw.wiki.getChangeCount(title) > tiddlerInfo.changeCount) {\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// If the tiddler isn't known on the server then it needs to be saved to the server\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t}\n\t// Check tiddlers that are known from the server but not currently in the store\n\ttitles = Object.keys(this.tiddlerInfo);\n\tfor(index=0; index<titles.length; index++) {\n\t\tif(!this.wiki.tiddlerExists(titles[index])) {\n\t\t\t// There must be a pending delete\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nUpdate the document body with the class \"tc-dirty\" if the wiki has unsaved/unsynced changes\n*/\nSyncer.prototype.updateDirtyStatus = function() {\n\tif($tw.browser && !this.disableUI) {\n\t\tvar dirty = this.isDirty();\n\t\t$tw.utils.toggleClass(document.body,\"tc-dirty\",dirty);\n\t\tif(!dirty) {\n\t\t\tthis.loggerConnection.clearAlerts();\n\t\t}\n\t}\n};\n\n/*\nSave an incoming tiddler in the store, and updates the associated tiddlerInfo\n*/\nSyncer.prototype.storeTiddler = function(tiddlerFields) {\n\t// Save the tiddler\n\tvar tiddler = new $tw.Tiddler(tiddlerFields);\n\tthis.wiki.addTiddler(tiddler);\n\t// Save the tiddler revision and changeCount details\n\tthis.tiddlerInfo[tiddlerFields.title] = {\n\t\trevision: this.getTiddlerRevision(tiddlerFields.title),\n\t\tadaptorInfo: this.syncadaptor.getTiddlerInfo(tiddler),\n\t\tchangeCount: this.wiki.getChangeCount(tiddlerFields.title)\n\t};\n};\n\nSyncer.prototype.getStatus = function(callback) {\n\tvar self = this;\n\t// Check if the adaptor supports getStatus()\n\tif(this.syncadaptor && this.syncadaptor.getStatus) {\n\t\t// Mark us as not logged in\n\t\tthis.wiki.addTiddler({title: this.titleIsLoggedIn,text: \"no\"});\n\t\t// Get login status\n\t\tthis.syncadaptor.getStatus(function(err,isLoggedIn,username,isReadOnly,isAnonymous) {\n\t\t\tif(err) {\n\t\t\t\tself.logger.alert(err);\n\t\t\t} else {\n\t\t\t\t// Set the various status tiddlers\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsReadOnly,text: isReadOnly ? \"yes\" : \"no\"});\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsAnonymous,text: isAnonymous ? \"yes\" : \"no\"});\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsLoggedIn,text: isLoggedIn ? \"yes\" : \"no\"});\n\t\t\t\tif(isLoggedIn) {\n\t\t\t\t\tself.wiki.addTiddler({title: self.titleUserName,text: username || \"\"});\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Invoke the callback\n\t\t\tif(callback) {\n\t\t\t\tcallback(err,isLoggedIn,username);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tcallback(null,true,\"UNAUTHENTICATED\");\n\t}\n};\n\n/*\nSynchronise from the server by reading the skinny tiddler list and queuing up loads for any tiddlers that we don't already have up to date\n*/\nSyncer.prototype.syncFromServer = function() {\n\tvar self = this,\n\t\tcancelNextSync = function() {\n\t\t\tif(self.pollTimerId) {\n\t\t\t\tclearTimeout(self.pollTimerId);\n\t\t\t\tself.pollTimerId = null;\n\t\t\t}\n\t\t},\n\t\ttriggerNextSync = function() {\n\t\t\tself.pollTimerId = setTimeout(function() {\n\t\t\t\tself.pollTimerId = null;\n\t\t\t\tself.syncFromServer.call(self);\n\t\t\t},self.pollTimerInterval);\n\t\t};\n\tif(this.syncadaptor && this.syncadaptor.getUpdatedTiddlers) {\n\t\tthis.logger.log(\"Retrieving updated tiddler list\");\n\t\tcancelNextSync();\n\t\tthis.syncadaptor.getUpdatedTiddlers(self,function(err,updates) {\n\t\t\ttriggerNextSync();\n\t\t\tif(err) {\n\t\t\t\tself.displayError($tw.language.getString(\"Error/RetrievingSkinny\"),err);\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tif(updates) {\n\t\t\t\t$tw.utils.each(updates.modifications,function(title) {\n\t\t\t\t\tself.titlesToBeLoaded[title] = true;\n\t\t\t\t});\n\t\t\t\t$tw.utils.each(updates.deletions,function(title) {\n\t\t\t\t\tdelete self.tiddlerInfo[title];\n\t\t\t\t\tself.logger.log(\"Deleting tiddler missing from server:\",title);\n\t\t\t\t\tself.wiki.deleteTiddler(title);\n\t\t\t\t});\n\t\t\t\tif(updates.modifications.length > 0 || updates.deletions.length > 0) {\n\t\t\t\t\tself.processTaskQueue();\n\t\t\t\t}\t\t\t\t\n\t\t\t}\n\t\t});\n\t} else if(this.syncadaptor && this.syncadaptor.getSkinnyTiddlers) {\n\t\tthis.logger.log(\"Retrieving skinny tiddler list\");\n\t\tcancelNextSync();\n\t\tthis.syncadaptor.getSkinnyTiddlers(function(err,tiddlers) {\n\t\t\ttriggerNextSync();\n\t\t\t// Check for errors\n\t\t\tif(err) {\n\t\t\t\tself.displayError($tw.language.getString(\"Error/RetrievingSkinny\"),err);\n\t\t\t\treturn;\n\t\t\t}\n\t\t\t// Keep track of which tiddlers we already know about have been reported this time\n\t\t\tvar previousTitles = Object.keys(self.tiddlerInfo);\n\t\t\t// Process each incoming tiddler\n\t\t\tfor(var t=0; t<tiddlers.length; t++) {\n\t\t\t\t// Get the incoming tiddler fields, and the existing tiddler\n\t\t\t\tvar tiddlerFields = tiddlers[t],\n\t\t\t\t\tincomingRevision = tiddlerFields.revision + \"\",\n\t\t\t\t\ttiddler = self.wiki.tiddlerExists(tiddlerFields.title) && self.wiki.getTiddler(tiddlerFields.title),\n\t\t\t\t\ttiddlerInfo = self.tiddlerInfo[tiddlerFields.title],\n\t\t\t\t\tcurrRevision = tiddlerInfo ? tiddlerInfo.revision : null,\n\t\t\t\t\tindexInPreviousTitles = previousTitles.indexOf(tiddlerFields.title);\n\t\t\t\tif(indexInPreviousTitles !== -1) {\n\t\t\t\t\tpreviousTitles.splice(indexInPreviousTitles,1);\n\t\t\t\t}\n\t\t\t\t// Ignore the incoming tiddler if it's the same as the revision we've already got\n\t\t\t\tif(currRevision !== incomingRevision) {\n\t\t\t\t\t// Only load the skinny version if we don't already have a fat version of the tiddler\n\t\t\t\t\tif(!tiddler || tiddler.fields.text === undefined) {\n\t\t\t\t\t\tself.storeTiddler(tiddlerFields);\n\t\t\t\t\t}\n\t\t\t\t\t// Do a full load of this tiddler\n\t\t\t\t\tself.titlesToBeLoaded[tiddlerFields.title] = true;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Delete any tiddlers that were previously reported but missing this time\n\t\t\t$tw.utils.each(previousTitles,function(title) {\n\t\t\t\tdelete self.tiddlerInfo[title];\n\t\t\t\tself.logger.log(\"Deleting tiddler missing from server:\",title);\n\t\t\t\tself.wiki.deleteTiddler(title);\n\t\t\t});\n\t\t\tself.processTaskQueue();\n\t\t});\n\t}\n};\n\n/*\nForce load a tiddler from the server\n*/\nSyncer.prototype.enqueueLoadTiddler = function(title) {\n\tthis.titlesToBeLoaded[title] = true;\n\tthis.processTaskQueue();\n};\n\n/*\nLazily load a skinny tiddler if we can\n*/\nSyncer.prototype.handleLazyLoadEvent = function(title) {\n\t// Ignore if the syncadaptor doesn't handle it\n\tif(!this.syncadaptor.supportsLazyLoading) {\n\t\treturn;\n\t}\n\t// Don't lazy load the same tiddler twice\n\tif(!this.titlesHaveBeenLazyLoaded[title]) {\n\t\t// Don't lazy load if the tiddler isn't included in the sync filter\n\t\tif(this.getSyncedTiddlers().indexOf(title) !== -1) {\n\t\t\t// Mark the tiddler as needing loading, and having already been lazily loaded\n\t\t\tthis.titlesToBeLoaded[title] = true;\n\t\t\tthis.titlesHaveBeenLazyLoaded[title] = true;\n\t\t}\n\t}\n};\n\n/*\nDispay a password prompt and allow the user to login\n*/\nSyncer.prototype.handleLoginEvent = function() {\n\tvar self = this;\n\tthis.getStatus(function(err,isLoggedIn,username) {\n\t\tif(!err && !isLoggedIn) {\n\t\t\t$tw.passwordPrompt.createPrompt({\n\t\t\t\tserviceName: $tw.language.getString(\"LoginToTiddlySpace\"),\n\t\t\t\tcallback: function(data) {\n\t\t\t\t\tself.login(data.username,data.password,function(err,isLoggedIn) {\n\t\t\t\t\t\tself.syncFromServer();\n\t\t\t\t\t});\n\t\t\t\t\treturn true; // Get rid of the password prompt\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n};\n\n/*\nAttempt to login to TiddlyWeb.\n\tusername: username\n\tpassword: password\n\tcallback: invoked with arguments (err,isLoggedIn)\n*/\nSyncer.prototype.login = function(username,password,callback) {\n\tthis.logger.log(\"Attempting to login as\",username);\n\tvar self = this;\n\tif(this.syncadaptor.login) {\n\t\tthis.syncadaptor.login(username,password,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tself.getStatus(function(err,isLoggedIn,username) {\n\t\t\t\tif(callback) {\n\t\t\t\t\tcallback(err,isLoggedIn);\n\t\t\t\t}\n\t\t\t});\n\t\t});\n\t} else {\n\t\tcallback(null,true);\n\t}\n};\n\n/*\nAttempt to log out of TiddlyWeb\n*/\nSyncer.prototype.handleLogoutEvent = function() {\n\tthis.logger.log(\"Attempting to logout\");\n\tvar self = this;\n\tif(this.syncadaptor.logout) {\n\t\tthis.syncadaptor.logout(function(err) {\n\t\t\tif(err) {\n\t\t\t\tself.logger.alert(err);\n\t\t\t} else {\n\t\t\t\tself.getStatus();\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nImmediately refresh from the server\n*/\nSyncer.prototype.handleRefreshEvent = function() {\n\tthis.syncFromServer();\n};\n\n/*\nProcess the next task\n*/\nSyncer.prototype.processTaskQueue = function() {\n\tvar self = this;\n\t// Only process a task if the sync adaptor is fully initialised and we're not already performing\n\t// a task. If we are already performing a task then we'll dispatch the next one when it completes\n\tif((!this.syncadaptor.isReady || this.syncadaptor.isReady()) && this.numTasksInProgress === 0) {\n\t\t// Choose the next task to perform\n\t\tvar task = this.chooseNextTask();\n\t\t// Perform the task if we had one\n\t\tif(typeof task === \"object\" && task !== null) {\n\t\t\tthis.numTasksInProgress += 1;\n\t\t\ttask.run(function(err) {\n\t\t\t\tself.numTasksInProgress -= 1;\n\t\t\t\tif(err) {\n\t\t\t\t\tself.displayError(\"Sync error while processing \" + task.type + \" of '\" + task.title + \"'\",err);\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t\tself.triggerTimeout(self.errorRetryInterval);\n\t\t\t\t} else {\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t\t// Process the next task\n\t\t\t\t\tself.processTaskQueue.call(self);\t\t\t\t\t\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\t// No task is ready so update the status\n\t\t\tthis.updateDirtyStatus();\n\t\t\t// And trigger a timeout if there is a pending task\n\t\t\tif(task === true) {\n\t\t\t\tthis.triggerTimeout();\t\t\t\t\n\t\t\t}\n\t\t}\n\t} else {\n\t\tthis.updateDirtyStatus();\t\t\n\t}\n};\n\nSyncer.prototype.triggerTimeout = function(interval) {\n\tvar self = this;\n\tif(!this.taskTimerId) {\n\t\tthis.taskTimerId = setTimeout(function() {\n\t\t\tself.taskTimerId = null;\n\t\t\tself.processTaskQueue.call(self);\n\t\t},interval || self.taskTimerInterval);\n\t}\n};\n\n/*\nChoose the next sync task. We prioritise saves, then deletes, then loads from the server\n\nReturns either a task object, null if there's no upcoming tasks, or the boolean true if there are pending tasks that aren't yet due\n*/\nSyncer.prototype.chooseNextTask = function() {\n\tvar thresholdLastSaved = (new Date()) - this.throttleInterval,\n\t\thavePending = null;\n\t// First we look for tiddlers that have been modified locally and need saving back to the server\n\tvar titles = this.getSyncedTiddlers();\n\tfor(var index=0; index<titles.length; index++) {\n\t\tvar title = titles[index],\n\t\t\ttiddler = this.wiki.tiddlerExists(title) && this.wiki.getTiddler(title),\n\t\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\tif(tiddler) {\n\t\t\t// If the tiddler is not known on the server, or has been modified locally no more recently than the threshold then it needs to be saved to the server\n\t\t\tvar hasChanged = !tiddlerInfo || $tw.wiki.getChangeCount(title) > tiddlerInfo.changeCount,\n\t\t\t\tisReadyToSave = !tiddlerInfo || !tiddlerInfo.timestampLastSaved || tiddlerInfo.timestampLastSaved < thresholdLastSaved;\n\t\t\tif(hasChanged) {\n\t\t\t\tif(isReadyToSave) {\n\t\t\t\t\treturn new SaveTiddlerTask(this,title); \t\t\t\t\t\n\t\t\t\t} else {\n\t\t\t\t\thavePending = true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\t// Second, we check tiddlers that are known from the server but not currently in the store, and so need deleting on the server\n\ttitles = Object.keys(this.tiddlerInfo);\n\tfor(index=0; index<titles.length; index++) {\n\t\ttitle = titles[index];\n\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\ttiddler = this.wiki.tiddlerExists(title) && this.wiki.getTiddler(title);\n\t\tif(!tiddler) {\n\t\t\treturn new DeleteTiddlerTask(this,title);\n\t\t}\n\t}\n\t// Check for tiddlers that need loading\n\ttitle = Object.keys(this.titlesToBeLoaded)[0];\n\tif(title) {\n\t\tdelete this.titlesToBeLoaded[title];\n\t\treturn new LoadTiddlerTask(this,title);\n\t}\n\t// No tasks are ready\n\treturn havePending;\n};\n\nfunction SaveTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"save\";\n}\n\nSaveTiddlerTask.prototype.run = function(callback) {\n\tvar self = this,\n\t\tchangeCount = this.syncer.wiki.getChangeCount(this.title),\n\t\ttiddler = this.syncer.wiki.tiddlerExists(this.title) && this.syncer.wiki.getTiddler(this.title);\n\tthis.syncer.logger.log(\"Dispatching 'save' task:\",this.title);\n\tif(tiddler) {\n\t\tthis.syncer.syncadaptor.saveTiddler(tiddler,function(err,adaptorInfo,revision) {\n\t\t\t// If there's an error, exit without changing any internal state\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\t// Adjust the info stored about this tiddler\n\t\t\tself.syncer.tiddlerInfo[self.title] = {\n\t\t\t\tchangeCount: changeCount,\n\t\t\t\tadaptorInfo: adaptorInfo,\n\t\t\t\trevision: revision,\n\t\t\t\ttimestampLastSaved: new Date()\n\t\t\t};\n\t\t\t// Invoke the callback\n\t\t\tcallback(null);\n\t\t});\n\t} else {\n\t\tthis.syncer.logger.log(\" Not Dispatching 'save' task:\",this.title,\"tiddler does not exist\");\n\t\t$tw.utils.nextTick(callback(null));\n\t}\n};\n\nfunction DeleteTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"delete\";\n}\n\nDeleteTiddlerTask.prototype.run = function(callback) {\n\tvar self = this;\n\tthis.syncer.logger.log(\"Dispatching 'delete' task:\",this.title);\n\tthis.syncer.syncadaptor.deleteTiddler(this.title,function(err) {\n\t\t// If there's an error, exit without changing any internal state\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\t// Remove the info stored about this tiddler\n\t\tdelete self.syncer.tiddlerInfo[self.title];\n\t\t// Invoke the callback\n\t\tcallback(null);\n\t},{\n\t\ttiddlerInfo: self.syncer.tiddlerInfo[this.title]\n\t});\n};\n\nfunction LoadTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"load\";\n}\n\nLoadTiddlerTask.prototype.run = function(callback) {\n\tvar self = this;\n\tthis.syncer.logger.log(\"Dispatching 'load' task:\",this.title);\n\tthis.syncer.syncadaptor.loadTiddler(this.title,function(err,tiddlerFields) {\n\t\t// If there's an error, exit without changing any internal state\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\t// Update the info stored about this tiddler\n\t\tif(tiddlerFields) {\n\t\t\tself.syncer.storeTiddler(tiddlerFields);\n\t\t}\n\t\t// Invoke the callback\n\t\tcallback(null);\n\t});\n};\n\nexports.Syncer = Syncer;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/tiddler.js": {
"title": "$:/core/modules/tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/tiddler.js\ntype: application/javascript\nmodule-type: tiddlermethod\n\nExtension methods for the $tw.Tiddler object (constructor and methods required at boot time are in boot/boot.js)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.hasTag = function(tag) {\n\treturn this.fields.tags && this.fields.tags.indexOf(tag) !== -1;\n};\n\nexports.isPlugin = function() {\n\treturn this.fields.type === \"application/json\" && this.hasField(\"plugin-type\");\n};\n\nexports.isDraft = function() {\n\treturn this.hasField(\"draft.of\");\n};\n\nexports.getFieldString = function(field) {\n\tvar value = this.fields[field];\n\t// Check for a missing field\n\tif(value === undefined || value === null) {\n\t\treturn \"\";\n\t}\n\t// Parse the field with the associated module (if any)\n\tvar fieldModule = $tw.Tiddler.fieldModules[field];\n\tif(fieldModule && fieldModule.stringify) {\n\t\treturn fieldModule.stringify.call(this,value);\n\t} else {\n\t\treturn value.toString();\n\t}\n};\n\n/*\nGet the value of a field as a list\n*/\nexports.getFieldList = function(field) {\n\tvar value = this.fields[field];\n\t// Check for a missing field\n\tif(value === undefined || value === null) {\n\t\treturn [];\n\t}\n\treturn $tw.utils.parseStringArray(value);\n};\n\n/*\nGet all the fields as a hashmap of strings. Options:\n\texclude: an array of field names to exclude\n*/\nexports.getFieldStrings = function(options) {\n\toptions = options || {};\n\tvar exclude = options.exclude || [];\n\tvar fields = {};\n\tfor(var field in this.fields) {\n\t\tif($tw.utils.hop(this.fields,field)) {\n\t\t\tif(exclude.indexOf(field) === -1) {\n\t\t\t\tfields[field] = this.getFieldString(field);\n\t\t\t}\n\t\t}\n\t}\n\treturn fields;\n};\n\n/*\nGet all the fields as a name:value block. Options:\n\texclude: an array of field names to exclude\n*/\nexports.getFieldStringBlock = function(options) {\n\toptions = options || {};\n\tvar exclude = options.exclude || [],\n\t\tfields = Object.keys(this.fields).sort(),\n\t\tresult = [];\n\tfor(var t=0; t<fields.length; t++) {\n\t\tvar field = fields[t];\n\t\tif(exclude.indexOf(field) === -1) {\n\t\t\tresult.push(field + \": \" + this.getFieldString(field));\n\t\t}\n\t}\n\treturn result.join(\"\\n\");\n};\n\nexports.getFieldDay = function(field) {\n\tif(this.cache && this.cache.day && $tw.utils.hop(this.cache.day,field) ) {\n\t\treturn this.cache.day[field];\n\t}\n\tvar day = \"\";\n\tif(this.fields[field]) {\n\t\tday = (new Date($tw.utils.parseDate(this.fields[field]))).setHours(0,0,0,0);\n\t}\n\tthis.cache.day = this.cache.day || {};\n\tthis.cache.day[field] = day;\n\treturn day;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "tiddlermethod"
},
"$:/core/modules/upgraders/plugins.js": {
"title": "$:/core/modules/upgraders/plugins.js",
"text": "/*\\\ntitle: $:/core/modules/upgraders/plugins.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that checks that plugins are newer than any already installed version\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar UPGRADE_LIBRARY_TITLE = \"$:/UpgradeLibrary\";\n\nvar BLOCKED_PLUGINS = {\n\t\"$:/themes/tiddlywiki/stickytitles\": {\n\t\tversions: [\"*\"]\n\t},\n\t\"$:/plugins/tiddlywiki/fullscreen\": {\n\t\tversions: [\"*\"]\n\t}\n};\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {},\n\t\tupgradeLibrary,\n\t\tgetLibraryTiddler = function(title) {\n\t\t\tif(!upgradeLibrary) {\n\t\t\t\tupgradeLibrary = wiki.getTiddlerData(UPGRADE_LIBRARY_TITLE,{});\n\t\t\t\tupgradeLibrary.tiddlers = upgradeLibrary.tiddlers || {};\n\t\t\t}\n\t\t\treturn upgradeLibrary.tiddlers[title];\n\t\t};\n\n\t// Go through all the incoming tiddlers\n\t$tw.utils.each(titles,function(title) {\n\t\tvar incomingTiddler = tiddlers[title];\n\t\t// Check if we're dealing with a plugin\n\t\tif(incomingTiddler && incomingTiddler[\"plugin-type\"]) {\n\t\t\t// Check whether the plugin contains JS modules\n\t\t\tvar requiresReload = $tw.wiki.doesPluginInfoRequireReload(JSON.parse(incomingTiddler.text)) ? ($tw.wiki.getTiddlerText(\"$:/language/ControlPanel/Plugins/PluginWillRequireReload\") + \" \") : \"\";\n\t\t\tmessages[title] = requiresReload;\n\t\t\tif(incomingTiddler.version) {\n\t\t\t\t// Upgrade the incoming plugin if it is in the upgrade library\n\t\t\t\tvar libraryTiddler = getLibraryTiddler(title);\n\t\t\t\tif(libraryTiddler && libraryTiddler[\"plugin-type\"] && libraryTiddler.version) {\n\t\t\t\t\ttiddlers[title] = libraryTiddler;\n\t\t\t\t\tmessages[title] = requiresReload + $tw.language.getString(\"Import/Upgrader/Plugins/Upgraded\",{variables: {incoming: incomingTiddler.version, upgraded: libraryTiddler.version}});\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t\t// Suppress the incoming plugin if it is older than the currently installed one\n\t\t\t\tvar existingTiddler = wiki.getTiddler(title);\n\t\t\t\tif(existingTiddler && existingTiddler.hasField(\"plugin-type\") && existingTiddler.hasField(\"version\")) {\n\t\t\t\t\t// Reject the incoming plugin by blanking all its fields\n\t\t\t\t\tif($tw.utils.checkVersions(existingTiddler.fields.version,incomingTiddler.version)) {\n\t\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\t\tmessages[title] = requiresReload + $tw.language.getString(\"Import/Upgrader/Plugins/Suppressed/Version\",{variables: {incoming: incomingTiddler.version, existing: existingTiddler.fields.version}});\n\t\t\t\t\t\treturn;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Check whether the plugin is on the blocked list\n\t\t\tvar blockInfo = BLOCKED_PLUGINS[title];\n\t\t\tif(blockInfo) {\n\t\t\t\tif(blockInfo.versions.indexOf(\"*\") !== -1 || (incomingTiddler.version && blockInfo.versions.indexOf(incomingTiddler.version) !== -1)) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/Plugins/Suppressed/Incompatible\");\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "upgrader"
},
"$:/core/modules/upgraders/system.js": {
"title": "$:/core/modules/upgraders/system.js",
"text": "/*\\\ntitle: $:/core/modules/upgraders/system.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that suppresses certain system tiddlers that shouldn't be imported\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DONT_IMPORT_LIST = [\"$:/StoryList\",\"$:/HistoryList\"],\n\tDONT_IMPORT_PREFIX_LIST = [\"$:/temp/\",\"$:/state/\",\"$:/Import\"],\n\tWARN_IMPORT_PREFIX_LIST = [\"$:/core/modules/\"];\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {},\n\t\tshowAlert = false;\n\t// Check for tiddlers on our list\n\t$tw.utils.each(titles,function(title) {\n\t\tif(DONT_IMPORT_LIST.indexOf(title) !== -1) {\n\t\t\ttiddlers[title] = Object.create(null);\n\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/System/Suppressed\");\n\t\t} else {\n\t\t\tfor(var t=0; t<DONT_IMPORT_PREFIX_LIST.length; t++) {\n\t\t\t\tvar prefix = DONT_IMPORT_PREFIX_LIST[t];\n\t\t\t\tif(title.substr(0,prefix.length) === prefix) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/State/Suppressed\");\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor(var t=0; t<WARN_IMPORT_PREFIX_LIST.length; t++) {\n\t\t\t\tvar prefix = WARN_IMPORT_PREFIX_LIST[t];\n\t\t\t\tif(title.substr(0,prefix.length) === prefix && wiki.isShadowTiddler(title)) {\n\t\t\t\t\tshowAlert = true;\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/System/Warning\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\tif(showAlert) {\n\t\tvar logger = new $tw.utils.Logger(\"import\");\n\t\tlogger.alert($tw.language.getString(\"Import/Upgrader/System/Alert\"));\n\t}\n\treturn messages;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "upgrader"
},
"$:/core/modules/upgraders/themetweaks.js": {
"title": "$:/core/modules/upgraders/themetweaks.js",
"text": "/*\\\ntitle: $:/core/modules/upgraders/themetweaks.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that handles the change in theme tweak storage introduced in 5.0.14-beta.\n\nPreviously, theme tweaks were stored in two data tiddlers:\n\n* $:/themes/tiddlywiki/vanilla/metrics\n* $:/themes/tiddlywiki/vanilla/settings\n\nNow, each tweak is stored in its own separate tiddler.\n\nThis upgrader copies any values from the old format to the new. The old data tiddlers are not deleted in case they have been used to store additional indexes.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar MAPPINGS = {\n\t\"$:/themes/tiddlywiki/vanilla/metrics\": {\n\t\t\"fontsize\": \"$:/themes/tiddlywiki/vanilla/metrics/fontsize\",\n\t\t\"lineheight\": \"$:/themes/tiddlywiki/vanilla/metrics/lineheight\",\n\t\t\"storyleft\": \"$:/themes/tiddlywiki/vanilla/metrics/storyleft\",\n\t\t\"storytop\": \"$:/themes/tiddlywiki/vanilla/metrics/storytop\",\n\t\t\"storyright\": \"$:/themes/tiddlywiki/vanilla/metrics/storyright\",\n\t\t\"storywidth\": \"$:/themes/tiddlywiki/vanilla/metrics/storywidth\",\n\t\t\"tiddlerwidth\": \"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\"\n\t},\n\t\"$:/themes/tiddlywiki/vanilla/settings\": {\n\t\t\"fontfamily\": \"$:/themes/tiddlywiki/vanilla/settings/fontfamily\"\n\t}\n};\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {};\n\t// Check for tiddlers on our list\n\t$tw.utils.each(titles,function(title) {\n\t\tvar mapping = MAPPINGS[title];\n\t\tif(mapping) {\n\t\t\tvar tiddler = new $tw.Tiddler(tiddlers[title]),\n\t\t\t\ttiddlerData = wiki.getTiddlerDataCached(tiddler,{});\n\t\t\tfor(var index in mapping) {\n\t\t\t\tvar mappedTitle = mapping[index];\n\t\t\t\tif(!tiddlers[mappedTitle] || tiddlers[mappedTitle].title !== mappedTitle) {\n\t\t\t\t\ttiddlers[mappedTitle] = {\n\t\t\t\t\t\ttitle: mappedTitle,\n\t\t\t\t\t\ttext: tiddlerData[index]\n\t\t\t\t\t};\n\t\t\t\t\tmessages[mappedTitle] = $tw.language.getString(\"Import/Upgrader/ThemeTweaks/Created\",{variables: {\n\t\t\t\t\t\tfrom: title + \"##\" + index\n\t\t\t\t\t}});\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "upgrader"
},
"$:/core/modules/utils/base64-utf8/base64-utf8.module.js": {
"text": "(function(){// From https://gist.github.com/Nijikokun/5192472\n//\n// UTF8 Module\n//\n// Cleaner and modularized utf-8 encoding and decoding library for javascript.\n//\n// copyright: MIT\n// author: Nijiko Yonskai, @nijikokun, nijikokun@gmail.com\n!function(r,e,o,t){void 0!==o.module&&o.module.exports?o.module.exports=e.apply(o):void 0!==o.define&&\"function\"===o.define&&o.define.amd?define(\"utf8\",[],e):o.utf8=e.apply(o)}(0,function(){return{encode:function(r){if(\"string\"!=typeof r)return r;r=r.replace(/\\r\\n/g,\"\\n\");for(var e,o=\"\",t=0;t<r.length;t++)(e=r.charCodeAt(t))<128?o+=String.fromCharCode(e):e>127&&e<2048?(o+=String.fromCharCode(e>>6|192),o+=String.fromCharCode(63&e|128)):(o+=String.fromCharCode(e>>12|224),o+=String.fromCharCode(e>>6&63|128),o+=String.fromCharCode(63&e|128));return o},decode:function(r){if(\"string\"!=typeof r)return r;for(var e=\"\",o=0,t=0;o<r.length;)(t=r.charCodeAt(o))<128?(e+=String.fromCharCode(t),o++):t>191&&t<224?(e+=String.fromCharCode((31&t)<<6|63&r.charCodeAt(o+1)),o+=2):(e+=String.fromCharCode((15&t)<<12|(63&r.charCodeAt(o+1))<<6|63&r.charCodeAt(o+2)),o+=3);return e}}},this),function(r,e,o,t){if(void 0!==o.module&&o.module.exports){if(t&&o.require)for(var n=0;n<t.length;n++)o[t[n]]=o.require(t[n]);o.module.exports=e.apply(o)}else void 0!==o.define&&\"function\"===o.define&&o.define.amd?define(\"base64\",t||[],e):o.base64=e.apply(o)}(0,function(r){var e=r||this.utf8,o=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=\";return{encode:function(r){if(void 0===e)throw{error:\"MissingMethod\",message:\"UTF8 Module is missing.\"};if(\"string\"!=typeof r)return r;r=e.encode(r);for(var t,n,i,d,f,a,h,c=\"\",u=0;u<r.length;)d=(t=r.charCodeAt(u++))>>2,f=(3&t)<<4|(n=r.charCodeAt(u++))>>4,a=(15&n)<<2|(i=r.charCodeAt(u++))>>6,h=63&i,isNaN(n)?a=h=64:isNaN(i)&&(h=64),c+=o.charAt(d)+o.charAt(f)+o.charAt(a)+o.charAt(h);return c},decode:function(r){if(void 0===e)throw{error:\"MissingMethod\",message:\"UTF8 Module is missing.\"};if(\"string\"!=typeof r)return r;r=r.replace(/[^A-Za-z0-9\\+\\/\\=]/g,\"\");for(var t,n,i,d,f,a,h=\"\",c=0;c<r.length;)t=o.indexOf(r.charAt(c++))<<2|(d=o.indexOf(r.charAt(c++)))>>4,n=(15&d)<<4|(f=o.indexOf(r.charAt(c++)))>>2,i=(3&f)<<6|(a=o.indexOf(r.charAt(c++))),h+=String.fromCharCode(t),64!=f&&(h+=String.fromCharCode(n)),64!=a&&(h+=String.fromCharCode(i));return e.decode(h)}}},this,[\"utf8\"]);}).call(exports);",
"type": "application/javascript",
"title": "$:/core/modules/utils/base64-utf8/base64-utf8.module.js",
"module-type": "library"
},
"$:/core/modules/utils/crypto.js": {
"title": "$:/core/modules/utils/crypto.js",
"text": "/*\\\ntitle: $:/core/modules/utils/crypto.js\ntype: application/javascript\nmodule-type: utils\n\nUtility functions related to crypto.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nLook for an encrypted store area in the text of a TiddlyWiki file\n*/\nexports.extractEncryptedStoreArea = function(text) {\n\tvar encryptedStoreAreaStartMarker = \"<pre id=\\\"encryptedStoreArea\\\" type=\\\"text/plain\\\" style=\\\"display:none;\\\">\",\n\t\tencryptedStoreAreaStart = text.indexOf(encryptedStoreAreaStartMarker);\n\tif(encryptedStoreAreaStart !== -1) {\n\t\tvar encryptedStoreAreaEnd = text.indexOf(\"</pre>\",encryptedStoreAreaStart);\n\t\tif(encryptedStoreAreaEnd !== -1) {\n\t\t\treturn $tw.utils.htmlDecode(text.substring(encryptedStoreAreaStart + encryptedStoreAreaStartMarker.length,encryptedStoreAreaEnd-1));\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nAttempt to extract the tiddlers from an encrypted store area using the current password. If the password is not provided then the password in the password store will be used\n*/\nexports.decryptStoreArea = function(encryptedStoreArea,password) {\n\tvar decryptedText = $tw.crypto.decrypt(encryptedStoreArea,password);\n\tif(decryptedText) {\n\t\tvar json = JSON.parse(decryptedText),\n\t\t\ttiddlers = [];\n\t\tfor(var title in json) {\n\t\t\tif(title !== \"$:/isEncrypted\") {\n\t\t\t\ttiddlers.push(json[title]);\n\t\t\t}\n\t\t}\n\t\treturn tiddlers;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n\n/*\nAttempt to extract the tiddlers from an encrypted store area using the current password. If that fails, the user is prompted for a password.\nencryptedStoreArea: text of the TiddlyWiki encrypted store area\ncallback: function(tiddlers) called with the array of decrypted tiddlers\n\nThe following configuration settings are supported:\n\n$tw.config.usePasswordVault: causes any password entered by the user to also be put into the system password vault\n*/\nexports.decryptStoreAreaInteractive = function(encryptedStoreArea,callback,options) {\n\t// Try to decrypt with the current password\n\tvar tiddlers = $tw.utils.decryptStoreArea(encryptedStoreArea);\n\tif(tiddlers) {\n\t\tcallback(tiddlers);\n\t} else {\n\t\t// Prompt for a new password and keep trying\n\t\t$tw.passwordPrompt.createPrompt({\n\t\t\tserviceName: \"Enter a password to decrypt the imported TiddlyWiki\",\n\t\t\tnoUserName: true,\n\t\t\tcanCancel: true,\n\t\t\tsubmitText: \"Decrypt\",\n\t\t\tcallback: function(data) {\n\t\t\t\t// Exit if the user cancelled\n\t\t\t\tif(!data) {\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t\t// Attempt to decrypt the tiddlers\n\t\t\t\tvar tiddlers = $tw.utils.decryptStoreArea(encryptedStoreArea,data.password);\n\t\t\t\tif(tiddlers) {\n\t\t\t\t\tif($tw.config.usePasswordVault) {\n\t\t\t\t\t\t$tw.crypto.setPassword(data.password);\n\t\t\t\t\t}\n\t\t\t\t\tcallback(tiddlers);\n\t\t\t\t\t// Exit and remove the password prompt\n\t\t\t\t\treturn true;\n\t\t\t\t} else {\n\t\t\t\t\t// We didn't decrypt everything, so continue to prompt for password\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/csv.js": {
"title": "$:/core/modules/utils/csv.js",
"text": "/*\\\ntitle: $:/core/modules/utils/csv.js\ntype: application/javascript\nmodule-type: utils\n\nA barebones CSV parser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParse a CSV string with a header row and return an array of hashmaps.\n*/\nexports.parseCsvStringWithHeader = function(text,options) {\n\toptions = options || {};\n\tvar separator = options.separator || \",\",\n\t\trows = text.split(/\\r?\\n/mg).map(function(row) {\n\t\t\treturn $tw.utils.trim(row);\n\t\t}).filter(function(row) {\n\t\t\treturn row !== \"\";\n\t\t});\n\tif(rows.length < 1) {\n\t\treturn \"Missing header row\";\n\t}\n\tvar headings = rows[0].split(separator),\n\t\tresults = [];\n\tfor(var row=1; row<rows.length; row++) {\n\t\tvar columns = rows[row].split(separator),\n\t\t\tcolumnResult = Object.create(null);\n\t\tif(columns.length !== headings.length) {\n\t\t\treturn \"Malformed CSV row '\" + rows[row] + \"'\";\n\t\t}\n\t\tfor(var column=0; column<columns.length; column++) {\n\t\t\tvar columnName = headings[column];\n\t\t\tcolumnResult[columnName] = $tw.utils.trim(columns[column] || \"\");\n\t\t}\n\t\tresults.push(columnResult);\t\t\t\n\t}\n\treturn results;\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/diff-match-patch/diff_match_patch.js": {
"text": "(function(){function diff_match_patch(){this.Diff_Timeout=1;this.Diff_EditCost=4;this.Match_Threshold=.5;this.Match_Distance=1E3;this.Patch_DeleteThreshold=.5;this.Patch_Margin=4;this.Match_MaxBits=32}var DIFF_DELETE=-1,DIFF_INSERT=1,DIFF_EQUAL=0;\ndiff_match_patch.prototype.diff_main=function(a,b,c,d){\"undefined\"==typeof d&&(d=0>=this.Diff_Timeout?Number.MAX_VALUE:(new Date).getTime()+1E3*this.Diff_Timeout);if(null==a||null==b)throw Error(\"Null input. (diff_main)\");if(a==b)return a?[[DIFF_EQUAL,a]]:[];\"undefined\"==typeof c&&(c=!0);var e=c,f=this.diff_commonPrefix(a,b);c=a.substring(0,f);a=a.substring(f);b=b.substring(f);f=this.diff_commonSuffix(a,b);var g=a.substring(a.length-f);a=a.substring(0,a.length-f);b=b.substring(0,b.length-f);a=this.diff_compute_(a,\nb,e,d);c&&a.unshift([DIFF_EQUAL,c]);g&&a.push([DIFF_EQUAL,g]);this.diff_cleanupMerge(a);return a};\ndiff_match_patch.prototype.diff_compute_=function(a,b,c,d){if(!a)return[[DIFF_INSERT,b]];if(!b)return[[DIFF_DELETE,a]];var e=a.length>b.length?a:b,f=a.length>b.length?b:a,g=e.indexOf(f);return-1!=g?(c=[[DIFF_INSERT,e.substring(0,g)],[DIFF_EQUAL,f],[DIFF_INSERT,e.substring(g+f.length)]],a.length>b.length&&(c[0][0]=c[2][0]=DIFF_DELETE),c):1==f.length?[[DIFF_DELETE,a],[DIFF_INSERT,b]]:(e=this.diff_halfMatch_(a,b))?(b=e[1],f=e[3],a=e[4],e=this.diff_main(e[0],e[2],c,d),c=this.diff_main(b,f,c,d),e.concat([[DIFF_EQUAL,\na]],c)):c&&100<a.length&&100<b.length?this.diff_lineMode_(a,b,d):this.diff_bisect_(a,b,d)};\ndiff_match_patch.prototype.diff_lineMode_=function(a,b,c){var d=this.diff_linesToChars_(a,b);a=d.chars1;b=d.chars2;d=d.lineArray;a=this.diff_main(a,b,!1,c);this.diff_charsToLines_(a,d);this.diff_cleanupSemantic(a);a.push([DIFF_EQUAL,\"\"]);for(var e=d=b=0,f=\"\",g=\"\";b<a.length;){switch(a[b][0]){case DIFF_INSERT:e++;g+=a[b][1];break;case DIFF_DELETE:d++;f+=a[b][1];break;case DIFF_EQUAL:if(1<=d&&1<=e){a.splice(b-d-e,d+e);b=b-d-e;d=this.diff_main(f,g,!1,c);for(e=d.length-1;0<=e;e--)a.splice(b,0,d[e]);b+=\nd.length}d=e=0;g=f=\"\"}b++}a.pop();return a};\ndiff_match_patch.prototype.diff_bisect_=function(a,b,c){for(var d=a.length,e=b.length,f=Math.ceil((d+e)/2),g=2*f,h=Array(g),l=Array(g),k=0;k<g;k++)h[k]=-1,l[k]=-1;h[f+1]=0;l[f+1]=0;k=d-e;for(var m=0!=k%2,p=0,x=0,w=0,q=0,t=0;t<f&&!((new Date).getTime()>c);t++){for(var v=-t+p;v<=t-x;v+=2){var n=f+v;var r=v==-t||v!=t&&h[n-1]<h[n+1]?h[n+1]:h[n-1]+1;for(var y=r-v;r<d&&y<e&&a.charAt(r)==b.charAt(y);)r++,y++;h[n]=r;if(r>d)x+=2;else if(y>e)p+=2;else if(m&&(n=f+k-v,0<=n&&n<g&&-1!=l[n])){var u=d-l[n];if(r>=\nu)return this.diff_bisectSplit_(a,b,r,y,c)}}for(v=-t+w;v<=t-q;v+=2){n=f+v;u=v==-t||v!=t&&l[n-1]<l[n+1]?l[n+1]:l[n-1]+1;for(r=u-v;u<d&&r<e&&a.charAt(d-u-1)==b.charAt(e-r-1);)u++,r++;l[n]=u;if(u>d)q+=2;else if(r>e)w+=2;else if(!m&&(n=f+k-v,0<=n&&n<g&&-1!=h[n]&&(r=h[n],y=f+r-n,u=d-u,r>=u)))return this.diff_bisectSplit_(a,b,r,y,c)}}return[[DIFF_DELETE,a],[DIFF_INSERT,b]]};\ndiff_match_patch.prototype.diff_bisectSplit_=function(a,b,c,d,e){var f=a.substring(0,c),g=b.substring(0,d);a=a.substring(c);b=b.substring(d);f=this.diff_main(f,g,!1,e);e=this.diff_main(a,b,!1,e);return f.concat(e)};\ndiff_match_patch.prototype.diff_linesToChars_=function(a,b){function c(a){for(var b=\"\",c=0,f=-1,g=d.length;f<a.length-1;){f=a.indexOf(\"\\n\",c);-1==f&&(f=a.length-1);var h=a.substring(c,f+1);c=f+1;(e.hasOwnProperty?e.hasOwnProperty(h):void 0!==e[h])?b+=String.fromCharCode(e[h]):(b+=String.fromCharCode(g),e[h]=g,d[g++]=h)}return b}var d=[],e={};d[0]=\"\";var f=c(a),g=c(b);return{chars1:f,chars2:g,lineArray:d}};\ndiff_match_patch.prototype.diff_charsToLines_=function(a,b){for(var c=0;c<a.length;c++){for(var d=a[c][1],e=[],f=0;f<d.length;f++)e[f]=b[d.charCodeAt(f)];a[c][1]=e.join(\"\")}};diff_match_patch.prototype.diff_commonPrefix=function(a,b){if(!a||!b||a.charAt(0)!=b.charAt(0))return 0;for(var c=0,d=Math.min(a.length,b.length),e=d,f=0;c<e;)a.substring(f,e)==b.substring(f,e)?f=c=e:d=e,e=Math.floor((d-c)/2+c);return e};\ndiff_match_patch.prototype.diff_commonSuffix=function(a,b){if(!a||!b||a.charAt(a.length-1)!=b.charAt(b.length-1))return 0;for(var c=0,d=Math.min(a.length,b.length),e=d,f=0;c<e;)a.substring(a.length-e,a.length-f)==b.substring(b.length-e,b.length-f)?f=c=e:d=e,e=Math.floor((d-c)/2+c);return e};\ndiff_match_patch.prototype.diff_commonOverlap_=function(a,b){var c=a.length,d=b.length;if(0==c||0==d)return 0;c>d?a=a.substring(c-d):c<d&&(b=b.substring(0,c));c=Math.min(c,d);if(a==b)return c;d=0;for(var e=1;;){var f=a.substring(c-e);f=b.indexOf(f);if(-1==f)return d;e+=f;if(0==f||a.substring(c-e)==b.substring(0,e))d=e,e++}};\ndiff_match_patch.prototype.diff_halfMatch_=function(a,b){function c(a,b,c){for(var d=a.substring(c,c+Math.floor(a.length/4)),e=-1,g=\"\",h,k,l,m;-1!=(e=b.indexOf(d,e+1));){var p=f.diff_commonPrefix(a.substring(c),b.substring(e)),u=f.diff_commonSuffix(a.substring(0,c),b.substring(0,e));g.length<u+p&&(g=b.substring(e-u,e)+b.substring(e,e+p),h=a.substring(0,c-u),k=a.substring(c+p),l=b.substring(0,e-u),m=b.substring(e+p))}return 2*g.length>=a.length?[h,k,l,m,g]:null}if(0>=this.Diff_Timeout)return null;\nvar d=a.length>b.length?a:b,e=a.length>b.length?b:a;if(4>d.length||2*e.length<d.length)return null;var f=this,g=c(d,e,Math.ceil(d.length/4));d=c(d,e,Math.ceil(d.length/2));if(g||d)g=d?g?g[4].length>d[4].length?g:d:d:g;else return null;if(a.length>b.length){d=g[0];e=g[1];var h=g[2];var l=g[3]}else h=g[0],l=g[1],d=g[2],e=g[3];return[d,e,h,l,g[4]]};\ndiff_match_patch.prototype.diff_cleanupSemantic=function(a){for(var b=!1,c=[],d=0,e=null,f=0,g=0,h=0,l=0,k=0;f<a.length;)a[f][0]==DIFF_EQUAL?(c[d++]=f,g=l,h=k,k=l=0,e=a[f][1]):(a[f][0]==DIFF_INSERT?l+=a[f][1].length:k+=a[f][1].length,e&&e.length<=Math.max(g,h)&&e.length<=Math.max(l,k)&&(a.splice(c[d-1],0,[DIFF_DELETE,e]),a[c[d-1]+1][0]=DIFF_INSERT,d--,d--,f=0<d?c[d-1]:-1,k=l=h=g=0,e=null,b=!0)),f++;b&&this.diff_cleanupMerge(a);this.diff_cleanupSemanticLossless(a);for(f=1;f<a.length;){if(a[f-1][0]==\nDIFF_DELETE&&a[f][0]==DIFF_INSERT){b=a[f-1][1];c=a[f][1];d=this.diff_commonOverlap_(b,c);e=this.diff_commonOverlap_(c,b);if(d>=e){if(d>=b.length/2||d>=c.length/2)a.splice(f,0,[DIFF_EQUAL,c.substring(0,d)]),a[f-1][1]=b.substring(0,b.length-d),a[f+1][1]=c.substring(d),f++}else if(e>=b.length/2||e>=c.length/2)a.splice(f,0,[DIFF_EQUAL,b.substring(0,e)]),a[f-1][0]=DIFF_INSERT,a[f-1][1]=c.substring(0,c.length-e),a[f+1][0]=DIFF_DELETE,a[f+1][1]=b.substring(e),f++;f++}f++}};\ndiff_match_patch.prototype.diff_cleanupSemanticLossless=function(a){function b(a,b){if(!a||!b)return 6;var c=a.charAt(a.length-1),d=b.charAt(0),e=c.match(diff_match_patch.nonAlphaNumericRegex_),f=d.match(diff_match_patch.nonAlphaNumericRegex_),g=e&&c.match(diff_match_patch.whitespaceRegex_),h=f&&d.match(diff_match_patch.whitespaceRegex_);c=g&&c.match(diff_match_patch.linebreakRegex_);d=h&&d.match(diff_match_patch.linebreakRegex_);var k=c&&a.match(diff_match_patch.blanklineEndRegex_),l=d&&b.match(diff_match_patch.blanklineStartRegex_);\nreturn k||l?5:c||d?4:e&&!g&&h?3:g||h?2:e||f?1:0}for(var c=1;c<a.length-1;){if(a[c-1][0]==DIFF_EQUAL&&a[c+1][0]==DIFF_EQUAL){var d=a[c-1][1],e=a[c][1],f=a[c+1][1],g=this.diff_commonSuffix(d,e);if(g){var h=e.substring(e.length-g);d=d.substring(0,d.length-g);e=h+e.substring(0,e.length-g);f=h+f}g=d;h=e;for(var l=f,k=b(d,e)+b(e,f);e.charAt(0)===f.charAt(0);){d+=e.charAt(0);e=e.substring(1)+f.charAt(0);f=f.substring(1);var m=b(d,e)+b(e,f);m>=k&&(k=m,g=d,h=e,l=f)}a[c-1][1]!=g&&(g?a[c-1][1]=g:(a.splice(c-\n1,1),c--),a[c][1]=h,l?a[c+1][1]=l:(a.splice(c+1,1),c--))}c++}};diff_match_patch.nonAlphaNumericRegex_=/[^a-zA-Z0-9]/;diff_match_patch.whitespaceRegex_=/\\s/;diff_match_patch.linebreakRegex_=/[\\r\\n]/;diff_match_patch.blanklineEndRegex_=/\\n\\r?\\n$/;diff_match_patch.blanklineStartRegex_=/^\\r?\\n\\r?\\n/;\ndiff_match_patch.prototype.diff_cleanupEfficiency=function(a){for(var b=!1,c=[],d=0,e=null,f=0,g=!1,h=!1,l=!1,k=!1;f<a.length;)a[f][0]==DIFF_EQUAL?(a[f][1].length<this.Diff_EditCost&&(l||k)?(c[d++]=f,g=l,h=k,e=a[f][1]):(d=0,e=null),l=k=!1):(a[f][0]==DIFF_DELETE?k=!0:l=!0,e&&(g&&h&&l&&k||e.length<this.Diff_EditCost/2&&3==g+h+l+k)&&(a.splice(c[d-1],0,[DIFF_DELETE,e]),a[c[d-1]+1][0]=DIFF_INSERT,d--,e=null,g&&h?(l=k=!0,d=0):(d--,f=0<d?c[d-1]:-1,l=k=!1),b=!0)),f++;b&&this.diff_cleanupMerge(a)};\ndiff_match_patch.prototype.diff_cleanupMerge=function(a){a.push([DIFF_EQUAL,\"\"]);for(var b=0,c=0,d=0,e=\"\",f=\"\",g;b<a.length;)switch(a[b][0]){case DIFF_INSERT:d++;f+=a[b][1];b++;break;case DIFF_DELETE:c++;e+=a[b][1];b++;break;case DIFF_EQUAL:1<c+d?(0!==c&&0!==d&&(g=this.diff_commonPrefix(f,e),0!==g&&(0<b-c-d&&a[b-c-d-1][0]==DIFF_EQUAL?a[b-c-d-1][1]+=f.substring(0,g):(a.splice(0,0,[DIFF_EQUAL,f.substring(0,g)]),b++),f=f.substring(g),e=e.substring(g)),g=this.diff_commonSuffix(f,e),0!==g&&(a[b][1]=f.substring(f.length-\ng)+a[b][1],f=f.substring(0,f.length-g),e=e.substring(0,e.length-g))),0===c?a.splice(b-d,c+d,[DIFF_INSERT,f]):0===d?a.splice(b-c,c+d,[DIFF_DELETE,e]):a.splice(b-c-d,c+d,[DIFF_DELETE,e],[DIFF_INSERT,f]),b=b-c-d+(c?1:0)+(d?1:0)+1):0!==b&&a[b-1][0]==DIFF_EQUAL?(a[b-1][1]+=a[b][1],a.splice(b,1)):b++,c=d=0,f=e=\"\"}\"\"===a[a.length-1][1]&&a.pop();c=!1;for(b=1;b<a.length-1;)a[b-1][0]==DIFF_EQUAL&&a[b+1][0]==DIFF_EQUAL&&(a[b][1].substring(a[b][1].length-a[b-1][1].length)==a[b-1][1]?(a[b][1]=a[b-1][1]+a[b][1].substring(0,\na[b][1].length-a[b-1][1].length),a[b+1][1]=a[b-1][1]+a[b+1][1],a.splice(b-1,1),c=!0):a[b][1].substring(0,a[b+1][1].length)==a[b+1][1]&&(a[b-1][1]+=a[b+1][1],a[b][1]=a[b][1].substring(a[b+1][1].length)+a[b+1][1],a.splice(b+1,1),c=!0)),b++;c&&this.diff_cleanupMerge(a)};\ndiff_match_patch.prototype.diff_xIndex=function(a,b){var c=0,d=0,e=0,f=0,g;for(g=0;g<a.length;g++){a[g][0]!==DIFF_INSERT&&(c+=a[g][1].length);a[g][0]!==DIFF_DELETE&&(d+=a[g][1].length);if(c>b)break;e=c;f=d}return a.length!=g&&a[g][0]===DIFF_DELETE?f:f+(b-e)};\ndiff_match_patch.prototype.diff_prettyHtml=function(a){for(var b=[],c=/&/g,d=/</g,e=/>/g,f=/\\n/g,g=0;g<a.length;g++){var h=a[g][0],l=a[g][1].replace(c,\"&\").replace(d,\"<\").replace(e,\">\").replace(f,\"¶<br>\");switch(h){case DIFF_INSERT:b[g]='<ins style=\"background:#e6ffe6;\">'+l+\"</ins>\";break;case DIFF_DELETE:b[g]='<del style=\"background:#ffe6e6;\">'+l+\"</del>\";break;case DIFF_EQUAL:b[g]=\"<span>\"+l+\"</span>\"}}return b.join(\"\")};\ndiff_match_patch.prototype.diff_text1=function(a){for(var b=[],c=0;c<a.length;c++)a[c][0]!==DIFF_INSERT&&(b[c]=a[c][1]);return b.join(\"\")};diff_match_patch.prototype.diff_text2=function(a){for(var b=[],c=0;c<a.length;c++)a[c][0]!==DIFF_DELETE&&(b[c]=a[c][1]);return b.join(\"\")};\ndiff_match_patch.prototype.diff_levenshtein=function(a){for(var b=0,c=0,d=0,e=0;e<a.length;e++){var f=a[e][1];switch(a[e][0]){case DIFF_INSERT:c+=f.length;break;case DIFF_DELETE:d+=f.length;break;case DIFF_EQUAL:b+=Math.max(c,d),d=c=0}}return b+=Math.max(c,d)};\ndiff_match_patch.prototype.diff_toDelta=function(a){for(var b=[],c=0;c<a.length;c++)switch(a[c][0]){case DIFF_INSERT:b[c]=\"+\"+encodeURI(a[c][1]);break;case DIFF_DELETE:b[c]=\"-\"+a[c][1].length;break;case DIFF_EQUAL:b[c]=\"=\"+a[c][1].length}return b.join(\"\\t\").replace(/%20/g,\" \")};\ndiff_match_patch.prototype.diff_fromDelta=function(a,b){for(var c=[],d=0,e=0,f=b.split(/\\t/g),g=0;g<f.length;g++){var h=f[g].substring(1);switch(f[g].charAt(0)){case \"+\":try{c[d++]=[DIFF_INSERT,decodeURI(h)]}catch(k){throw Error(\"Illegal escape in diff_fromDelta: \"+h);}break;case \"-\":case \"=\":var l=parseInt(h,10);if(isNaN(l)||0>l)throw Error(\"Invalid number in diff_fromDelta: \"+h);h=a.substring(e,e+=l);\"=\"==f[g].charAt(0)?c[d++]=[DIFF_EQUAL,h]:c[d++]=[DIFF_DELETE,h];break;default:if(f[g])throw Error(\"Invalid diff operation in diff_fromDelta: \"+\nf[g]);}}if(e!=a.length)throw Error(\"Delta length (\"+e+\") does not equal source text length (\"+a.length+\").\");return c};diff_match_patch.prototype.match_main=function(a,b,c){if(null==a||null==b||null==c)throw Error(\"Null input. (match_main)\");c=Math.max(0,Math.min(c,a.length));return a==b?0:a.length?a.substring(c,c+b.length)==b?c:this.match_bitap_(a,b,c):-1};\ndiff_match_patch.prototype.match_bitap_=function(a,b,c){function d(a,d){var e=a/b.length,g=Math.abs(c-d);return f.Match_Distance?e+g/f.Match_Distance:g?1:e}if(b.length>this.Match_MaxBits)throw Error(\"Pattern too long for this browser.\");var e=this.match_alphabet_(b),f=this,g=this.Match_Threshold,h=a.indexOf(b,c);-1!=h&&(g=Math.min(d(0,h),g),h=a.lastIndexOf(b,c+b.length),-1!=h&&(g=Math.min(d(0,h),g)));var l=1<<b.length-1;h=-1;for(var k,m,p=b.length+a.length,x,w=0;w<b.length;w++){k=0;for(m=p;k<m;)d(w,\nc+m)<=g?k=m:p=m,m=Math.floor((p-k)/2+k);p=m;k=Math.max(1,c-m+1);var q=Math.min(c+m,a.length)+b.length;m=Array(q+2);for(m[q+1]=(1<<w)-1;q>=k;q--){var t=e[a.charAt(q-1)];m[q]=0===w?(m[q+1]<<1|1)&t:(m[q+1]<<1|1)&t|(x[q+1]|x[q])<<1|1|x[q+1];if(m[q]&l&&(t=d(w,q-1),t<=g))if(g=t,h=q-1,h>c)k=Math.max(1,2*c-h);else break}if(d(w+1,c)>g)break;x=m}return h};\ndiff_match_patch.prototype.match_alphabet_=function(a){for(var b={},c=0;c<a.length;c++)b[a.charAt(c)]=0;for(c=0;c<a.length;c++)b[a.charAt(c)]|=1<<a.length-c-1;return b};\ndiff_match_patch.prototype.patch_addContext_=function(a,b){if(0!=b.length){for(var c=b.substring(a.start2,a.start2+a.length1),d=0;b.indexOf(c)!=b.lastIndexOf(c)&&c.length<this.Match_MaxBits-this.Patch_Margin-this.Patch_Margin;)d+=this.Patch_Margin,c=b.substring(a.start2-d,a.start2+a.length1+d);d+=this.Patch_Margin;(c=b.substring(a.start2-d,a.start2))&&a.diffs.unshift([DIFF_EQUAL,c]);(d=b.substring(a.start2+a.length1,a.start2+a.length1+d))&&a.diffs.push([DIFF_EQUAL,d]);a.start1-=c.length;a.start2-=\nc.length;a.length1+=c.length+d.length;a.length2+=c.length+d.length}};\ndiff_match_patch.prototype.patch_make=function(a,b,c){if(\"string\"==typeof a&&\"string\"==typeof b&&\"undefined\"==typeof c){var d=a;b=this.diff_main(d,b,!0);2<b.length&&(this.diff_cleanupSemantic(b),this.diff_cleanupEfficiency(b))}else if(a&&\"object\"==typeof a&&\"undefined\"==typeof b&&\"undefined\"==typeof c)b=a,d=this.diff_text1(b);else if(\"string\"==typeof a&&b&&\"object\"==typeof b&&\"undefined\"==typeof c)d=a;else if(\"string\"==typeof a&&\"string\"==typeof b&&c&&\"object\"==typeof c)d=a,b=c;else throw Error(\"Unknown call format to patch_make.\");\nif(0===b.length)return[];c=[];a=new diff_match_patch.patch_obj;for(var e=0,f=0,g=0,h=d,l=0;l<b.length;l++){var k=b[l][0],m=b[l][1];e||k===DIFF_EQUAL||(a.start1=f,a.start2=g);switch(k){case DIFF_INSERT:a.diffs[e++]=b[l];a.length2+=m.length;d=d.substring(0,g)+m+d.substring(g);break;case DIFF_DELETE:a.length1+=m.length;a.diffs[e++]=b[l];d=d.substring(0,g)+d.substring(g+m.length);break;case DIFF_EQUAL:m.length<=2*this.Patch_Margin&&e&&b.length!=l+1?(a.diffs[e++]=b[l],a.length1+=m.length,a.length2+=m.length):\nm.length>=2*this.Patch_Margin&&e&&(this.patch_addContext_(a,h),c.push(a),a=new diff_match_patch.patch_obj,e=0,h=d,f=g)}k!==DIFF_INSERT&&(f+=m.length);k!==DIFF_DELETE&&(g+=m.length)}e&&(this.patch_addContext_(a,h),c.push(a));return c};\ndiff_match_patch.prototype.patch_deepCopy=function(a){for(var b=[],c=0;c<a.length;c++){var d=a[c],e=new diff_match_patch.patch_obj;e.diffs=[];for(var f=0;f<d.diffs.length;f++)e.diffs[f]=d.diffs[f].slice();e.start1=d.start1;e.start2=d.start2;e.length1=d.length1;e.length2=d.length2;b[c]=e}return b};\ndiff_match_patch.prototype.patch_apply=function(a,b){if(0==a.length)return[b,[]];a=this.patch_deepCopy(a);var c=this.patch_addPadding(a);b=c+b+c;this.patch_splitMax(a);for(var d=0,e=[],f=0;f<a.length;f++){var g=a[f].start2+d,h=this.diff_text1(a[f].diffs),l=-1;if(h.length>this.Match_MaxBits){var k=this.match_main(b,h.substring(0,this.Match_MaxBits),g);-1!=k&&(l=this.match_main(b,h.substring(h.length-this.Match_MaxBits),g+h.length-this.Match_MaxBits),-1==l||k>=l)&&(k=-1)}else k=this.match_main(b,h,\ng);if(-1==k)e[f]=!1,d-=a[f].length2-a[f].length1;else if(e[f]=!0,d=k-g,g=-1==l?b.substring(k,k+h.length):b.substring(k,l+this.Match_MaxBits),h==g)b=b.substring(0,k)+this.diff_text2(a[f].diffs)+b.substring(k+h.length);else if(g=this.diff_main(h,g,!1),h.length>this.Match_MaxBits&&this.diff_levenshtein(g)/h.length>this.Patch_DeleteThreshold)e[f]=!1;else{this.diff_cleanupSemanticLossless(g);h=0;var m;for(l=0;l<a[f].diffs.length;l++){var p=a[f].diffs[l];p[0]!==DIFF_EQUAL&&(m=this.diff_xIndex(g,h));p[0]===\nDIFF_INSERT?b=b.substring(0,k+m)+p[1]+b.substring(k+m):p[0]===DIFF_DELETE&&(b=b.substring(0,k+m)+b.substring(k+this.diff_xIndex(g,h+p[1].length)));p[0]!==DIFF_DELETE&&(h+=p[1].length)}}}b=b.substring(c.length,b.length-c.length);return[b,e]};\ndiff_match_patch.prototype.patch_addPadding=function(a){for(var b=this.Patch_Margin,c=\"\",d=1;d<=b;d++)c+=String.fromCharCode(d);for(d=0;d<a.length;d++)a[d].start1+=b,a[d].start2+=b;d=a[0];var e=d.diffs;if(0==e.length||e[0][0]!=DIFF_EQUAL)e.unshift([DIFF_EQUAL,c]),d.start1-=b,d.start2-=b,d.length1+=b,d.length2+=b;else if(b>e[0][1].length){var f=b-e[0][1].length;e[0][1]=c.substring(e[0][1].length)+e[0][1];d.start1-=f;d.start2-=f;d.length1+=f;d.length2+=f}d=a[a.length-1];e=d.diffs;0==e.length||e[e.length-\n1][0]!=DIFF_EQUAL?(e.push([DIFF_EQUAL,c]),d.length1+=b,d.length2+=b):b>e[e.length-1][1].length&&(f=b-e[e.length-1][1].length,e[e.length-1][1]+=c.substring(0,f),d.length1+=f,d.length2+=f);return c};\ndiff_match_patch.prototype.patch_splitMax=function(a){for(var b=this.Match_MaxBits,c=0;c<a.length;c++)if(!(a[c].length1<=b)){var d=a[c];a.splice(c--,1);for(var e=d.start1,f=d.start2,g=\"\";0!==d.diffs.length;){var h=new diff_match_patch.patch_obj,l=!0;h.start1=e-g.length;h.start2=f-g.length;\"\"!==g&&(h.length1=h.length2=g.length,h.diffs.push([DIFF_EQUAL,g]));for(;0!==d.diffs.length&&h.length1<b-this.Patch_Margin;){g=d.diffs[0][0];var k=d.diffs[0][1];g===DIFF_INSERT?(h.length2+=k.length,f+=k.length,h.diffs.push(d.diffs.shift()),\nl=!1):g===DIFF_DELETE&&1==h.diffs.length&&h.diffs[0][0]==DIFF_EQUAL&&k.length>2*b?(h.length1+=k.length,e+=k.length,l=!1,h.diffs.push([g,k]),d.diffs.shift()):(k=k.substring(0,b-h.length1-this.Patch_Margin),h.length1+=k.length,e+=k.length,g===DIFF_EQUAL?(h.length2+=k.length,f+=k.length):l=!1,h.diffs.push([g,k]),k==d.diffs[0][1]?d.diffs.shift():d.diffs[0][1]=d.diffs[0][1].substring(k.length))}g=this.diff_text2(h.diffs);g=g.substring(g.length-this.Patch_Margin);k=this.diff_text1(d.diffs).substring(0,\nthis.Patch_Margin);\"\"!==k&&(h.length1+=k.length,h.length2+=k.length,0!==h.diffs.length&&h.diffs[h.diffs.length-1][0]===DIFF_EQUAL?h.diffs[h.diffs.length-1][1]+=k:h.diffs.push([DIFF_EQUAL,k]));l||a.splice(++c,0,h)}}};diff_match_patch.prototype.patch_toText=function(a){for(var b=[],c=0;c<a.length;c++)b[c]=a[c];return b.join(\"\")};\ndiff_match_patch.prototype.patch_fromText=function(a){var b=[];if(!a)return b;a=a.split(\"\\n\");for(var c=0,d=/^@@ -(\\d+),?(\\d*) \\+(\\d+),?(\\d*) @@$/;c<a.length;){var e=a[c].match(d);if(!e)throw Error(\"Invalid patch string: \"+a[c]);var f=new diff_match_patch.patch_obj;b.push(f);f.start1=parseInt(e[1],10);\"\"===e[2]?(f.start1--,f.length1=1):\"0\"==e[2]?f.length1=0:(f.start1--,f.length1=parseInt(e[2],10));f.start2=parseInt(e[3],10);\"\"===e[4]?(f.start2--,f.length2=1):\"0\"==e[4]?f.length2=0:(f.start2--,f.length2=\nparseInt(e[4],10));for(c++;c<a.length;){e=a[c].charAt(0);try{var g=decodeURI(a[c].substring(1))}catch(h){throw Error(\"Illegal escape in patch_fromText: \"+g);}if(\"-\"==e)f.diffs.push([DIFF_DELETE,g]);else if(\"+\"==e)f.diffs.push([DIFF_INSERT,g]);else if(\" \"==e)f.diffs.push([DIFF_EQUAL,g]);else if(\"@\"==e)break;else if(\"\"!==e)throw Error('Invalid patch mode \"'+e+'\" in: '+g);c++}}return b};diff_match_patch.patch_obj=function(){this.diffs=[];this.start2=this.start1=null;this.length2=this.length1=0};\ndiff_match_patch.patch_obj.prototype.toString=function(){for(var a=[\"@@ -\"+(0===this.length1?this.start1+\",0\":1==this.length1?this.start1+1:this.start1+1+\",\"+this.length1)+\" +\"+(0===this.length2?this.start2+\",0\":1==this.length2?this.start2+1:this.start2+1+\",\"+this.length2)+\" @@\\n\"],b,c=0;c<this.diffs.length;c++){switch(this.diffs[c][0]){case DIFF_INSERT:b=\"+\";break;case DIFF_DELETE:b=\"-\";break;case DIFF_EQUAL:b=\" \"}a[c+1]=b+encodeURI(this.diffs[c][1])+\"\\n\"}return a.join(\"\").replace(/%20/g,\" \")};\nthis.diff_match_patch=diff_match_patch;this.DIFF_DELETE=DIFF_DELETE;this.DIFF_INSERT=DIFF_INSERT;this.DIFF_EQUAL=DIFF_EQUAL;\n}).call(exports);",
"type": "application/javascript",
"title": "$:/core/modules/utils/diff-match-patch/diff_match_patch.js",
"module-type": "library"
},
"$:/core/modules/utils/dom/animations/slide.js": {
"title": "$:/core/modules/utils/dom/animations/slide.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/animations/slide.js\ntype: application/javascript\nmodule-type: animation\n\nA simple slide animation that varies the height of the element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction slideOpen(domNode,options) {\n\toptions = options || {};\n\tvar duration = options.duration || $tw.utils.getAnimationDuration();\n\t// Get the current height of the domNode\n\tvar computedStyle = window.getComputedStyle(domNode),\n\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\tcurrPaddingBottom = parseInt(computedStyle.paddingBottom,10),\n\t\tcurrPaddingTop = parseInt(computedStyle.paddingTop,10),\n\t\tcurrHeight = domNode.offsetHeight;\n\t// Reset the margin once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(domNode,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"},\n\t\t\t{marginTop: \"\"},\n\t\t\t{paddingBottom: \"\"},\n\t\t\t{paddingTop: \"\"},\n\t\t\t{height: \"auto\"},\n\t\t\t{opacity: \"\"}\n\t\t]);\n\t\tif(options.callback) {\n\t\t\toptions.callback();\n\t\t}\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"none\"},\n\t\t{marginTop: \"0px\"},\n\t\t{marginBottom: \"0px\"},\n\t\t{paddingTop: \"0px\"},\n\t\t{paddingBottom: \"0px\"},\n\t\t{height: \"0px\"},\n\t\t{opacity: \"0\"}\n\t]);\n\t$tw.utils.forceLayout(domNode);\n\t// Transition to the final position\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"margin-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"height \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t{marginTop: currMarginTop + \"px\"},\n\t\t{paddingBottom: currPaddingBottom + \"px\"},\n\t\t{paddingTop: currPaddingTop + \"px\"},\n\t\t{height: currHeight + \"px\"},\n\t\t{opacity: \"1\"}\n\t]);\n}\n\nfunction slideClosed(domNode,options) {\n\toptions = options || {};\n\tvar duration = options.duration || $tw.utils.getAnimationDuration(),\n\t\tcurrHeight = domNode.offsetHeight;\n\t// Clear the properties we've set when the animation is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(domNode,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"},\n\t\t\t{marginTop: \"\"},\n\t\t\t{paddingBottom: \"\"},\n\t\t\t{paddingTop: \"\"},\n\t\t\t{height: \"auto\"},\n\t\t\t{opacity: \"\"}\n\t\t]);\n\t\tif(options.callback) {\n\t\t\toptions.callback();\n\t\t}\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(domNode,[\n\t\t{height: currHeight + \"px\"},\n\t\t{opacity: \"1\"}\n\t]);\n\t$tw.utils.forceLayout(domNode);\n\t// Transition to the final position\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"margin-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"height \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{marginTop: \"0px\"},\n\t\t{marginBottom: \"0px\"},\n\t\t{paddingTop: \"0px\"},\n\t\t{paddingBottom: \"0px\"},\n\t\t{height: \"0px\"},\n\t\t{opacity: \"0\"}\n\t]);\n}\n\nexports.slide = {\n\topen: slideOpen,\n\tclose: slideClosed\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "animation"
},
"$:/core/modules/utils/dom/animator.js": {
"title": "$:/core/modules/utils/dom/animator.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/animator.js\ntype: application/javascript\nmodule-type: utils\n\nOrchestrates animations and transitions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction Animator() {\n\t// Get the registered animation modules\n\tthis.animations = {};\n\t$tw.modules.applyMethods(\"animation\",this.animations);\n}\n\nAnimator.prototype.perform = function(type,domNode,options) {\n\toptions = options || {};\n\t// Find an animation that can handle this type\n\tvar chosenAnimation;\n\t$tw.utils.each(this.animations,function(animation,name) {\n\t\tif($tw.utils.hop(animation,type)) {\n\t\t\tchosenAnimation = animation[type];\n\t\t}\n\t});\n\tif(!chosenAnimation) {\n\t\tchosenAnimation = function(domNode,options) {\n\t\t\tif(options.callback) {\n\t\t\t\toptions.callback();\n\t\t\t}\n\t\t};\n\t}\n\t// Call the animation\n\tchosenAnimation(domNode,options);\n};\n\nexports.Animator = Animator;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/browser.js": {
"title": "$:/core/modules/utils/dom/browser.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/browser.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser feature detection\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSet style properties of an element\n\telement: dom node\n\tstyles: ordered array of {name: value} pairs\n*/\nexports.setStyle = function(element,styles) {\n\tif(element.nodeType === 1) { // Element.ELEMENT_NODE\n\t\tfor(var t=0; t<styles.length; t++) {\n\t\t\tfor(var styleName in styles[t]) {\n\t\t\t\telement.style[$tw.utils.convertStyleNameToPropertyName(styleName)] = styles[t][styleName];\n\t\t\t}\n\t\t}\n\t}\n};\n\n/*\nConverts a standard CSS property name into the local browser-specific equivalent. For example:\n\t\"background-color\" --> \"backgroundColor\"\n\t\"transition\" --> \"webkitTransition\"\n*/\n\nvar styleNameCache = {}; // We'll cache the style name conversions\n\nexports.convertStyleNameToPropertyName = function(styleName) {\n\t// Return from the cache if we can\n\tif(styleNameCache[styleName]) {\n\t\treturn styleNameCache[styleName];\n\t}\n\t// Convert it by first removing any hyphens\n\tvar propertyName = $tw.utils.unHyphenateCss(styleName);\n\t// Then check if it needs a prefix\n\tif($tw.browser && document.body.style[propertyName] === undefined) {\n\t\tvar prefixes = [\"O\",\"MS\",\"Moz\",\"webkit\"];\n\t\tfor(var t=0; t<prefixes.length; t++) {\n\t\t\tvar prefixedName = prefixes[t] + propertyName.substr(0,1).toUpperCase() + propertyName.substr(1);\n\t\t\tif(document.body.style[prefixedName] !== undefined) {\n\t\t\t\tpropertyName = prefixedName;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\t// Put it in the cache too\n\tstyleNameCache[styleName] = propertyName;\n\treturn propertyName;\n};\n\n/*\nConverts a JS format CSS property name back into the dashed form used in CSS declarations. For example:\n\t\"backgroundColor\" --> \"background-color\"\n\t\"webkitTransform\" --> \"-webkit-transform\"\n*/\nexports.convertPropertyNameToStyleName = function(propertyName) {\n\t// Rehyphenate the name\n\tvar styleName = $tw.utils.hyphenateCss(propertyName);\n\t// If there's a webkit prefix, add a dash (other browsers have uppercase prefixes, and so get the dash automatically)\n\tif(styleName.indexOf(\"webkit\") === 0) {\n\t\tstyleName = \"-\" + styleName;\n\t} else if(styleName.indexOf(\"-m-s\") === 0) {\n\t\tstyleName = \"-ms\" + styleName.substr(4);\n\t}\n\treturn styleName;\n};\n\n/*\nRound trip a stylename to a property name and back again. For example:\n\t\"transform\" --> \"webkitTransform\" --> \"-webkit-transform\"\n*/\nexports.roundTripPropertyName = function(propertyName) {\n\treturn $tw.utils.convertPropertyNameToStyleName($tw.utils.convertStyleNameToPropertyName(propertyName));\n};\n\n/*\nConverts a standard event name into the local browser specific equivalent. For example:\n\t\"animationEnd\" --> \"webkitAnimationEnd\"\n*/\n\nvar eventNameCache = {}; // We'll cache the conversions\n\nvar eventNameMappings = {\n\t\"transitionEnd\": {\n\t\tcorrespondingCssProperty: \"transition\",\n\t\tmappings: {\n\t\t\ttransition: \"transitionend\",\n\t\t\tOTransition: \"oTransitionEnd\",\n\t\t\tMSTransition: \"msTransitionEnd\",\n\t\t\tMozTransition: \"transitionend\",\n\t\t\twebkitTransition: \"webkitTransitionEnd\"\n\t\t}\n\t},\n\t\"animationEnd\": {\n\t\tcorrespondingCssProperty: \"animation\",\n\t\tmappings: {\n\t\t\tanimation: \"animationend\",\n\t\t\tOAnimation: \"oAnimationEnd\",\n\t\t\tMSAnimation: \"msAnimationEnd\",\n\t\t\tMozAnimation: \"animationend\",\n\t\t\twebkitAnimation: \"webkitAnimationEnd\"\n\t\t}\n\t}\n};\n\nexports.convertEventName = function(eventName) {\n\tif(eventNameCache[eventName]) {\n\t\treturn eventNameCache[eventName];\n\t}\n\tvar newEventName = eventName,\n\t\tmappings = eventNameMappings[eventName];\n\tif(mappings) {\n\t\tvar convertedProperty = $tw.utils.convertStyleNameToPropertyName(mappings.correspondingCssProperty);\n\t\tif(mappings.mappings[convertedProperty]) {\n\t\t\tnewEventName = mappings.mappings[convertedProperty];\n\t\t}\n\t}\n\t// Put it in the cache too\n\teventNameCache[eventName] = newEventName;\n\treturn newEventName;\n};\n\n/*\nReturn the names of the fullscreen APIs\n*/\nexports.getFullScreenApis = function() {\n\tvar d = document,\n\t\tdb = d.body,\n\t\tresult = {\n\t\t\"_requestFullscreen\": db.webkitRequestFullscreen !== undefined ? \"webkitRequestFullscreen\" :\n\t\t\t\t\t\t\tdb.mozRequestFullScreen !== undefined ? \"mozRequestFullScreen\" :\n\t\t\t\t\t\t\tdb.msRequestFullscreen !== undefined ? \"msRequestFullscreen\" :\n\t\t\t\t\t\t\tdb.requestFullscreen !== undefined ? \"requestFullscreen\" : \"\",\n\t\t\"_exitFullscreen\": d.webkitExitFullscreen !== undefined ? \"webkitExitFullscreen\" :\n\t\t\t\t\t\t\td.mozCancelFullScreen !== undefined ? \"mozCancelFullScreen\" :\n\t\t\t\t\t\t\td.msExitFullscreen !== undefined ? \"msExitFullscreen\" :\n\t\t\t\t\t\t\td.exitFullscreen !== undefined ? \"exitFullscreen\" : \"\",\n\t\t\"_fullscreenElement\": d.webkitFullscreenElement !== undefined ? \"webkitFullscreenElement\" :\n\t\t\t\t\t\t\td.mozFullScreenElement !== undefined ? \"mozFullScreenElement\" :\n\t\t\t\t\t\t\td.msFullscreenElement !== undefined ? \"msFullscreenElement\" :\n\t\t\t\t\t\t\td.fullscreenElement !== undefined ? \"fullscreenElement\" : \"\",\n\t\t\"_fullscreenChange\": d.webkitFullscreenElement !== undefined ? \"webkitfullscreenchange\" :\n\t\t\t\t\t\t\td.mozFullScreenElement !== undefined ? \"mozfullscreenchange\" :\n\t\t\t\t\t\t\td.msFullscreenElement !== undefined ? \"MSFullscreenChange\" :\n\t\t\t\t\t\t\td.fullscreenElement !== undefined ? \"fullscreenchange\" : \"\"\n\t};\n\tif(!result._requestFullscreen || !result._exitFullscreen || !result._fullscreenElement || !result._fullscreenChange) {\n\t\treturn null;\n\t} else {\n\t\treturn result;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/csscolorparser.js": {
"title": "$:/core/modules/utils/dom/csscolorparser.js",
"text": "// (c) Dean McNamee <dean@gmail.com>, 2012.\n//\n// https://github.com/deanm/css-color-parser-js\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to\n// deal in the Software without restriction, including without limitation the\n// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n// sell copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n// IN THE SOFTWARE.\n\n// http://www.w3.org/TR/css3-color/\nvar kCSSColorTable = {\n \"transparent\": [0,0,0,0], \"aliceblue\": [240,248,255,1],\n \"antiquewhite\": [250,235,215,1], \"aqua\": [0,255,255,1],\n \"aquamarine\": [127,255,212,1], \"azure\": [240,255,255,1],\n \"beige\": [245,245,220,1], \"bisque\": [255,228,196,1],\n \"black\": [0,0,0,1], \"blanchedalmond\": [255,235,205,1],\n \"blue\": [0,0,255,1], \"blueviolet\": [138,43,226,1],\n \"brown\": [165,42,42,1], \"burlywood\": [222,184,135,1],\n \"cadetblue\": [95,158,160,1], \"chartreuse\": [127,255,0,1],\n \"chocolate\": [210,105,30,1], \"coral\": [255,127,80,1],\n \"cornflowerblue\": [100,149,237,1], \"cornsilk\": [255,248,220,1],\n \"crimson\": [220,20,60,1], \"cyan\": [0,255,255,1],\n \"darkblue\": [0,0,139,1], \"darkcyan\": [0,139,139,1],\n \"darkgoldenrod\": [184,134,11,1], \"darkgray\": [169,169,169,1],\n \"darkgreen\": [0,100,0,1], \"darkgrey\": [169,169,169,1],\n \"darkkhaki\": [189,183,107,1], \"darkmagenta\": [139,0,139,1],\n \"darkolivegreen\": [85,107,47,1], \"darkorange\": [255,140,0,1],\n \"darkorchid\": [153,50,204,1], \"darkred\": [139,0,0,1],\n \"darksalmon\": [233,150,122,1], \"darkseagreen\": [143,188,143,1],\n \"darkslateblue\": [72,61,139,1], \"darkslategray\": [47,79,79,1],\n \"darkslategrey\": [47,79,79,1], \"darkturquoise\": [0,206,209,1],\n \"darkviolet\": [148,0,211,1], \"deeppink\": [255,20,147,1],\n \"deepskyblue\": [0,191,255,1], \"dimgray\": [105,105,105,1],\n \"dimgrey\": [105,105,105,1], \"dodgerblue\": [30,144,255,1],\n \"firebrick\": [178,34,34,1], \"floralwhite\": [255,250,240,1],\n \"forestgreen\": [34,139,34,1], \"fuchsia\": [255,0,255,1],\n \"gainsboro\": [220,220,220,1], \"ghostwhite\": [248,248,255,1],\n \"gold\": [255,215,0,1], \"goldenrod\": [218,165,32,1],\n \"gray\": [128,128,128,1], \"green\": [0,128,0,1],\n \"greenyellow\": [173,255,47,1], \"grey\": [128,128,128,1],\n \"honeydew\": [240,255,240,1], \"hotpink\": [255,105,180,1],\n \"indianred\": [205,92,92,1], \"indigo\": [75,0,130,1],\n \"ivory\": [255,255,240,1], \"khaki\": [240,230,140,1],\n \"lavender\": [230,230,250,1], \"lavenderblush\": [255,240,245,1],\n \"lawngreen\": [124,252,0,1], \"lemonchiffon\": [255,250,205,1],\n \"lightblue\": [173,216,230,1], \"lightcoral\": [240,128,128,1],\n \"lightcyan\": [224,255,255,1], \"lightgoldenrodyellow\": [250,250,210,1],\n \"lightgray\": [211,211,211,1], \"lightgreen\": [144,238,144,1],\n \"lightgrey\": [211,211,211,1], \"lightpink\": [255,182,193,1],\n \"lightsalmon\": [255,160,122,1], \"lightseagreen\": [32,178,170,1],\n \"lightskyblue\": [135,206,250,1], \"lightslategray\": [119,136,153,1],\n \"lightslategrey\": [119,136,153,1], \"lightsteelblue\": [176,196,222,1],\n \"lightyellow\": [255,255,224,1], \"lime\": [0,255,0,1],\n \"limegreen\": [50,205,50,1], \"linen\": [250,240,230,1],\n \"magenta\": [255,0,255,1], \"maroon\": [128,0,0,1],\n \"mediumaquamarine\": [102,205,170,1], \"mediumblue\": [0,0,205,1],\n \"mediumorchid\": [186,85,211,1], \"mediumpurple\": [147,112,219,1],\n \"mediumseagreen\": [60,179,113,1], \"mediumslateblue\": [123,104,238,1],\n \"mediumspringgreen\": [0,250,154,1], \"mediumturquoise\": [72,209,204,1],\n \"mediumvioletred\": [199,21,133,1], \"midnightblue\": [25,25,112,1],\n \"mintcream\": [245,255,250,1], \"mistyrose\": [255,228,225,1],\n \"moccasin\": [255,228,181,1], \"navajowhite\": [255,222,173,1],\n \"navy\": [0,0,128,1], \"oldlace\": [253,245,230,1],\n \"olive\": [128,128,0,1], \"olivedrab\": [107,142,35,1],\n \"orange\": [255,165,0,1], \"orangered\": [255,69,0,1],\n \"orchid\": [218,112,214,1], \"palegoldenrod\": [238,232,170,1],\n \"palegreen\": [152,251,152,1], \"paleturquoise\": [175,238,238,1],\n \"palevioletred\": [219,112,147,1], \"papayawhip\": [255,239,213,1],\n \"peachpuff\": [255,218,185,1], \"peru\": [205,133,63,1],\n \"pink\": [255,192,203,1], \"plum\": [221,160,221,1],\n \"powderblue\": [176,224,230,1], \"purple\": [128,0,128,1],\n \"red\": [255,0,0,1], \"rosybrown\": [188,143,143,1],\n \"royalblue\": [65,105,225,1], \"saddlebrown\": [139,69,19,1],\n \"salmon\": [250,128,114,1], \"sandybrown\": [244,164,96,1],\n \"seagreen\": [46,139,87,1], \"seashell\": [255,245,238,1],\n \"sienna\": [160,82,45,1], \"silver\": [192,192,192,1],\n \"skyblue\": [135,206,235,1], \"slateblue\": [106,90,205,1],\n \"slategray\": [112,128,144,1], \"slategrey\": [112,128,144,1],\n \"snow\": [255,250,250,1], \"springgreen\": [0,255,127,1],\n \"steelblue\": [70,130,180,1], \"tan\": [210,180,140,1],\n \"teal\": [0,128,128,1], \"thistle\": [216,191,216,1],\n \"tomato\": [255,99,71,1], \"turquoise\": [64,224,208,1],\n \"violet\": [238,130,238,1], \"wheat\": [245,222,179,1],\n \"white\": [255,255,255,1], \"whitesmoke\": [245,245,245,1],\n \"yellow\": [255,255,0,1], \"yellowgreen\": [154,205,50,1]}\n\nfunction clamp_css_byte(i) { // Clamp to integer 0 .. 255.\n i = Math.round(i); // Seems to be what Chrome does (vs truncation).\n return i < 0 ? 0 : i > 255 ? 255 : i;\n}\n\nfunction clamp_css_float(f) { // Clamp to float 0.0 .. 1.0.\n return f < 0 ? 0 : f > 1 ? 1 : f;\n}\n\nfunction parse_css_int(str) { // int or percentage.\n if (str[str.length - 1] === '%')\n return clamp_css_byte(parseFloat(str) / 100 * 255);\n return clamp_css_byte(parseInt(str));\n}\n\nfunction parse_css_float(str) { // float or percentage.\n if (str[str.length - 1] === '%')\n return clamp_css_float(parseFloat(str) / 100);\n return clamp_css_float(parseFloat(str));\n}\n\nfunction css_hue_to_rgb(m1, m2, h) {\n if (h < 0) h += 1;\n else if (h > 1) h -= 1;\n\n if (h * 6 < 1) return m1 + (m2 - m1) * h * 6;\n if (h * 2 < 1) return m2;\n if (h * 3 < 2) return m1 + (m2 - m1) * (2/3 - h) * 6;\n return m1;\n}\n\nfunction parseCSSColor(css_str) {\n // Remove all whitespace, not compliant, but should just be more accepting.\n var str = css_str.replace(/ /g, '').toLowerCase();\n\n // Color keywords (and transparent) lookup.\n if (str in kCSSColorTable) return kCSSColorTable[str].slice(); // dup.\n\n // #abc and #abc123 syntax.\n if (str[0] === '#') {\n if (str.length === 4) {\n var iv = parseInt(str.substr(1), 16); // TODO(deanm): Stricter parsing.\n if (!(iv >= 0 && iv <= 0xfff)) return null; // Covers NaN.\n return [((iv & 0xf00) >> 4) | ((iv & 0xf00) >> 8),\n (iv & 0xf0) | ((iv & 0xf0) >> 4),\n (iv & 0xf) | ((iv & 0xf) << 4),\n 1];\n } else if (str.length === 7) {\n var iv = parseInt(str.substr(1), 16); // TODO(deanm): Stricter parsing.\n if (!(iv >= 0 && iv <= 0xffffff)) return null; // Covers NaN.\n return [(iv & 0xff0000) >> 16,\n (iv & 0xff00) >> 8,\n iv & 0xff,\n 1];\n }\n\n return null;\n }\n\n var op = str.indexOf('('), ep = str.indexOf(')');\n if (op !== -1 && ep + 1 === str.length) {\n var fname = str.substr(0, op);\n var params = str.substr(op+1, ep-(op+1)).split(',');\n var alpha = 1; // To allow case fallthrough.\n switch (fname) {\n case 'rgba':\n if (params.length !== 4) return null;\n alpha = parse_css_float(params.pop());\n // Fall through.\n case 'rgb':\n if (params.length !== 3) return null;\n return [parse_css_int(params[0]),\n parse_css_int(params[1]),\n parse_css_int(params[2]),\n alpha];\n case 'hsla':\n if (params.length !== 4) return null;\n alpha = parse_css_float(params.pop());\n // Fall through.\n case 'hsl':\n if (params.length !== 3) return null;\n var h = (((parseFloat(params[0]) % 360) + 360) % 360) / 360; // 0 .. 1\n // NOTE(deanm): According to the CSS spec s/l should only be\n // percentages, but we don't bother and let float or percentage.\n var s = parse_css_float(params[1]);\n var l = parse_css_float(params[2]);\n var m2 = l <= 0.5 ? l * (s + 1) : l + s - l * s;\n var m1 = l * 2 - m2;\n return [clamp_css_byte(css_hue_to_rgb(m1, m2, h+1/3) * 255),\n clamp_css_byte(css_hue_to_rgb(m1, m2, h) * 255),\n clamp_css_byte(css_hue_to_rgb(m1, m2, h-1/3) * 255),\n alpha];\n default:\n return null;\n }\n }\n\n return null;\n}\n\ntry { exports.parseCSSColor = parseCSSColor } catch(e) { }\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom.js": {
"title": "$:/core/modules/utils/dom.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom.js\ntype: application/javascript\nmodule-type: utils\n\nVarious static DOM-related utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nDetermines whether element 'a' contains element 'b'\nCode thanks to John Resig, http://ejohn.org/blog/comparing-document-position/\n*/\nexports.domContains = function(a,b) {\n\treturn a.contains ?\n\t\ta !== b && a.contains(b) :\n\t\t!!(a.compareDocumentPosition(b) & 16);\n};\n\nexports.removeChildren = function(node) {\n\twhile(node.hasChildNodes()) {\n\t\tnode.removeChild(node.firstChild);\n\t}\n};\n\nexports.hasClass = function(el,className) {\n\treturn el && el.className && el.className.toString().split(\" \").indexOf(className) !== -1;\n};\n\nexports.addClass = function(el,className) {\n\tvar c = el.className.split(\" \");\n\tif(c.indexOf(className) === -1) {\n\t\tc.push(className);\n\t\tel.className = c.join(\" \");\n\t}\n};\n\nexports.removeClass = function(el,className) {\n\tvar c = el.className.split(\" \"),\n\t\tp = c.indexOf(className);\n\tif(p !== -1) {\n\t\tc.splice(p,1);\n\t\tel.className = c.join(\" \");\n\t}\n};\n\nexports.toggleClass = function(el,className,status) {\n\tif(status === undefined) {\n\t\tstatus = !exports.hasClass(el,className);\n\t}\n\tif(status) {\n\t\texports.addClass(el,className);\n\t} else {\n\t\texports.removeClass(el,className);\n\t}\n};\n\n/*\nGet the first parent element that has scrollbars or use the body as fallback.\n*/\nexports.getScrollContainer = function(el) {\n\tvar doc = el.ownerDocument;\n\twhile(el.parentNode) {\t\n\t\tel = el.parentNode;\n\t\tif(el.scrollTop) {\n\t\t\treturn el;\n\t\t}\n\t}\n\treturn doc.body;\n};\n\n/*\nGet the scroll position of the viewport\nReturns:\n\t{\n\t\tx: horizontal scroll position in pixels,\n\t\ty: vertical scroll position in pixels\n\t}\n*/\nexports.getScrollPosition = function(srcWindow) {\n\tvar scrollWindow = srcWindow || window;\n\tif(\"scrollX\" in scrollWindow) {\n\t\treturn {x: scrollWindow.scrollX, y: scrollWindow.scrollY};\n\t} else {\n\t\treturn {x: scrollWindow.document.documentElement.scrollLeft, y: scrollWindow.document.documentElement.scrollTop};\n\t}\n};\n\n/*\nAdjust the height of a textarea to fit its content, preserving scroll position, and return the height\n*/\nexports.resizeTextAreaToFit = function(domNode,minHeight) {\n\t// Get the scroll container and register the current scroll position\n\tvar container = $tw.utils.getScrollContainer(domNode),\n\t\tscrollTop = container.scrollTop;\n // Measure the specified minimum height\n\tdomNode.style.height = minHeight;\n\tvar measuredHeight = domNode.offsetHeight || parseInt(minHeight,10);\n\t// Set its height to auto so that it snaps to the correct height\n\tdomNode.style.height = \"auto\";\n\t// Calculate the revised height\n\tvar newHeight = Math.max(domNode.scrollHeight + domNode.offsetHeight - domNode.clientHeight,measuredHeight);\n\t// Only try to change the height if it has changed\n\tif(newHeight !== domNode.offsetHeight) {\n\t\tdomNode.style.height = newHeight + \"px\";\n\t\t// Make sure that the dimensions of the textarea are recalculated\n\t\t$tw.utils.forceLayout(domNode);\n\t\t// Set the container to the position we registered at the beginning\n\t\tcontainer.scrollTop = scrollTop;\n\t}\n\treturn newHeight;\n};\n\n/*\nGets the bounding rectangle of an element in absolute page coordinates\n*/\nexports.getBoundingPageRect = function(element) {\n\tvar scrollPos = $tw.utils.getScrollPosition(element.ownerDocument.defaultView),\n\t\tclientRect = element.getBoundingClientRect();\n\treturn {\n\t\tleft: clientRect.left + scrollPos.x,\n\t\twidth: clientRect.width,\n\t\tright: clientRect.right + scrollPos.x,\n\t\ttop: clientRect.top + scrollPos.y,\n\t\theight: clientRect.height,\n\t\tbottom: clientRect.bottom + scrollPos.y\n\t};\n};\n\n/*\nSaves a named password in the browser\n*/\nexports.savePassword = function(name,password) {\n\tvar done = false;\n\ttry {\n\t\twindow.localStorage.setItem(\"tw5-password-\" + name,password);\n\t\tdone = true;\n\t} catch(e) {\n\t}\n\tif(!done) {\n\t\t$tw.savedPasswords = $tw.savedPasswords || Object.create(null);\n\t\t$tw.savedPasswords[name] = password;\n\t}\n};\n\n/*\nRetrieve a named password from the browser\n*/\nexports.getPassword = function(name) {\n\tvar value;\n\ttry {\n\t\tvalue = window.localStorage.getItem(\"tw5-password-\" + name);\n\t} catch(e) {\n\t}\n\tif(value !== undefined) {\n\t\treturn value;\n\t} else {\n\t\treturn ($tw.savedPasswords || Object.create(null))[name] || \"\";\n\t}\n};\n\n/*\nForce layout of a dom node and its descendents\n*/\nexports.forceLayout = function(element) {\n\tvar dummy = element.offsetWidth;\n};\n\n/*\nPulse an element for debugging purposes\n*/\nexports.pulseElement = function(element) {\n\t// Event handler to remove the class at the end\n\telement.addEventListener($tw.browser.animationEnd,function handler(event) {\n\t\telement.removeEventListener($tw.browser.animationEnd,handler,false);\n\t\t$tw.utils.removeClass(element,\"pulse\");\n\t},false);\n\t// Apply the pulse class\n\t$tw.utils.removeClass(element,\"pulse\");\n\t$tw.utils.forceLayout(element);\n\t$tw.utils.addClass(element,\"pulse\");\n};\n\n/*\nAttach specified event handlers to a DOM node\ndomNode: where to attach the event handlers\nevents: array of event handlers to be added (see below)\nEach entry in the events array is an object with these properties:\nhandlerFunction: optional event handler function\nhandlerObject: optional event handler object\nhandlerMethod: optionally specifies object handler method name (defaults to `handleEvent`)\n*/\nexports.addEventListeners = function(domNode,events) {\n\t$tw.utils.each(events,function(eventInfo) {\n\t\tvar handler;\n\t\tif(eventInfo.handlerFunction) {\n\t\t\thandler = eventInfo.handlerFunction;\n\t\t} else if(eventInfo.handlerObject) {\n\t\t\tif(eventInfo.handlerMethod) {\n\t\t\t\thandler = function(event) {\n\t\t\t\t\teventInfo.handlerObject[eventInfo.handlerMethod].call(eventInfo.handlerObject,event);\n\t\t\t\t};\t\n\t\t\t} else {\n\t\t\t\thandler = eventInfo.handlerObject;\n\t\t\t}\n\t\t}\n\t\tdomNode.addEventListener(eventInfo.name,handler,false);\n\t});\n};\n\n/*\nGet the computed styles applied to an element as an array of strings of individual CSS properties\n*/\nexports.getComputedStyles = function(domNode) {\n\tvar textAreaStyles = window.getComputedStyle(domNode,null),\n\t\tstyleDefs = [],\n\t\tname;\n\tfor(var t=0; t<textAreaStyles.length; t++) {\n\t\tname = textAreaStyles[t];\n\t\tstyleDefs.push(name + \": \" + textAreaStyles.getPropertyValue(name) + \";\");\n\t}\n\treturn styleDefs;\n};\n\n/*\nApply a set of styles passed as an array of strings of individual CSS properties\n*/\nexports.setStyles = function(domNode,styleDefs) {\n\tdomNode.style.cssText = styleDefs.join(\"\");\n};\n\n/*\nCopy the computed styles from a source element to a destination element\n*/\nexports.copyStyles = function(srcDomNode,dstDomNode) {\n\t$tw.utils.setStyles(dstDomNode,$tw.utils.getComputedStyles(srcDomNode));\n};\n\n/*\nCopy plain text to the clipboard on browsers that support it\n*/\nexports.copyToClipboard = function(text,options) {\n\toptions = options || {};\n\tvar textArea = document.createElement(\"textarea\");\n\ttextArea.style.position = \"fixed\";\n\ttextArea.style.top = 0;\n\ttextArea.style.left = 0;\n\ttextArea.style.fontSize = \"12pt\";\n\ttextArea.style.width = \"2em\";\n\ttextArea.style.height = \"2em\";\n\ttextArea.style.padding = 0;\n\ttextArea.style.border = \"none\";\n\ttextArea.style.outline = \"none\";\n\ttextArea.style.boxShadow = \"none\";\n\ttextArea.style.background = \"transparent\";\n\ttextArea.value = text;\n\tdocument.body.appendChild(textArea);\n\ttextArea.select();\n\ttextArea.setSelectionRange(0,text.length);\n\tvar succeeded = false;\n\ttry {\n\t\tsucceeded = document.execCommand(\"copy\");\n\t} catch (err) {\n\t}\n\tif(!options.doNotNotify) {\n\t\t$tw.notifier.display(succeeded ? \"$:/language/Notifications/CopiedToClipboard/Succeeded\" : \"$:/language/Notifications/CopiedToClipboard/Failed\");\n\t}\n\tdocument.body.removeChild(textArea);\n};\n\nexports.getLocationPath = function() {\n\treturn window.location.toString().split(\"#\")[0];\n};\n\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/dragndrop.js": {
"title": "$:/core/modules/utils/dom/dragndrop.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/dragndrop.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser data transfer utilities, used with the clipboard and drag and drop\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOptions:\n\ndomNode: dom node to make draggable\ndragImageType: \"pill\" or \"dom\"\ndragTiddlerFn: optional function to retrieve the title of tiddler to drag\ndragFilterFn: optional function to retreive the filter defining a list of tiddlers to drag\nwidget: widget to use as the contect for the filter\n*/\nexports.makeDraggable = function(options) {\n\tvar dragImageType = options.dragImageType || \"dom\",\n\t\tdragImage,\n\t\tdomNode = options.domNode;\n\t// Make the dom node draggable (not necessary for anchor tags)\n\tif((domNode.tagName || \"\").toLowerCase() !== \"a\") {\n\t\tdomNode.setAttribute(\"draggable\",\"true\");\t\t\n\t}\n\t// Add event handlers\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"dragstart\", handlerFunction: function(event) {\n\t\t\tif(event.dataTransfer === undefined) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t\t// Collect the tiddlers being dragged\n\t\t\tvar dragTiddler = options.dragTiddlerFn && options.dragTiddlerFn(),\n\t\t\t\tdragFilter = options.dragFilterFn && options.dragFilterFn(),\n\t\t\t\ttitles = dragTiddler ? [dragTiddler] : [],\n\t\t\t \tstartActions = options.startActions;\n\t\t\tif(dragFilter) {\n\t\t\t\ttitles.push.apply(titles,options.widget.wiki.filterTiddlers(dragFilter,options.widget));\n\t\t\t}\n\t\t\tvar titleString = $tw.utils.stringifyList(titles);\n\t\t\t// Check that we've something to drag\n\t\t\tif(titles.length > 0 && event.target === domNode) {\n\t\t\t\t// Mark the drag in progress\n\t\t\t\t$tw.dragInProgress = domNode;\n\t\t\t\t// Set the dragging class on the element being dragged\n\t\t\t\t$tw.utils.addClass(event.target,\"tc-dragging\");\n\t\t\t\t// Invoke drag-start actions if given\n\t\t\t\tif(startActions !== undefined) {\n\t\t\t\t\toptions.widget.invokeActionString(startActions,options.widget,event,{actionTiddler: titleString});\n\t\t\t\t}\n\t\t\t\t// Create the drag image elements\n\t\t\t\tdragImage = options.widget.document.createElement(\"div\");\n\t\t\t\tdragImage.className = \"tc-tiddler-dragger\";\n\t\t\t\tvar inner = options.widget.document.createElement(\"div\");\n\t\t\t\tinner.className = \"tc-tiddler-dragger-inner\";\n\t\t\t\tinner.appendChild(options.widget.document.createTextNode(\n\t\t\t\t\ttitles.length === 1 ? \n\t\t\t\t\t\ttitles[0] :\n\t\t\t\t\t\ttitles.length + \" tiddlers\"\n\t\t\t\t));\n\t\t\t\tdragImage.appendChild(inner);\n\t\t\t\toptions.widget.document.body.appendChild(dragImage);\n\t\t\t\t// Set the data transfer properties\n\t\t\t\tvar dataTransfer = event.dataTransfer;\n\t\t\t\t// Set up the image\n\t\t\t\tdataTransfer.effectAllowed = \"all\";\n\t\t\t\tif(dataTransfer.setDragImage) {\n\t\t\t\t\tif(dragImageType === \"pill\") {\n\t\t\t\t\t\tdataTransfer.setDragImage(dragImage.firstChild,-16,-16);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvar r = domNode.getBoundingClientRect();\n\t\t\t\t\t\tdataTransfer.setDragImage(domNode,event.clientX-r.left,event.clientY-r.top);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Set up the data transfer\n\t\t\t\tif(dataTransfer.clearData) {\n\t\t\t\t\tdataTransfer.clearData();\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\tvar jsonData = [];\n\t\t\t\tif(titles.length > 1) {\n\t\t\t\t\ttitles.forEach(function(title) {\n\t\t\t\t\t\tjsonData.push(options.widget.wiki.getTiddlerAsJson(title));\n\t\t\t\t\t});\n\t\t\t\t\tjsonData = \"[\" + jsonData.join(\",\") + \"]\";\n\t\t\t\t} else {\n\t\t\t\t\tjsonData = options.widget.wiki.getTiddlerAsJson(titles[0]);\n\t\t\t\t}\n\t\t\t\t// IE doesn't like these content types\n\t\t\t\tif(!$tw.browser.isIE) {\n\t\t\t\t\tdataTransfer.setData(\"text/vnd.tiddler\",jsonData);\n\t\t\t\t\tdataTransfer.setData(\"text/plain\",titleString);\n\t\t\t\t\tdataTransfer.setData(\"text/x-moz-url\",\"data:text/vnd.tiddler,\" + encodeURIComponent(jsonData));\n\t\t\t\t}\n\t\t\t\tdataTransfer.setData(\"URL\",\"data:text/vnd.tiddler,\" + encodeURIComponent(jsonData));\n\t\t\t\tdataTransfer.setData(\"Text\",titleString);\n\t\t\t\tevent.stopPropagation();\n\t\t\t}\n\t\t\treturn false;\n\t\t}},\n\t\t{name: \"dragend\", handlerFunction: function(event) {\n\t\t\tif(event.target === domNode) {\n\t\t\t\t// Collect the tiddlers being dragged\n\t\t\t\tvar dragTiddler = options.dragTiddlerFn && options.dragTiddlerFn(),\n\t\t\t\t\tdragFilter = options.dragFilterFn && options.dragFilterFn(),\n\t\t\t\t\ttitles = dragTiddler ? [dragTiddler] : [],\n\t\t\t \t\tendActions = options.endActions;\n\t\t\t\tif(dragFilter) {\n\t\t\t\t\ttitles.push.apply(titles,options.widget.wiki.filterTiddlers(dragFilter,options.widget));\n\t\t\t\t}\n\t\t\t\tvar titleString = $tw.utils.stringifyList(titles);\n\t\t\t\t$tw.dragInProgress = null;\n\t\t\t\t// Invoke drag-end actions if given\n\t\t\t\tif(endActions !== undefined) {\n\t\t\t\t\toptions.widget.invokeActionString(endActions,options.widget,event,{actionTiddler: titleString});\n\t\t\t\t}\n\t\t\t\t// Remove the dragging class on the element being dragged\n\t\t\t\t$tw.utils.removeClass(event.target,\"tc-dragging\");\n\t\t\t\t// Delete the drag image element\n\t\t\t\tif(dragImage) {\n\t\t\t\t\tdragImage.parentNode.removeChild(dragImage);\n\t\t\t\t\tdragImage = null;\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn false;\n\t\t}}\n\t]);\n};\n\nexports.importDataTransfer = function(dataTransfer,fallbackTitle,callback) {\n\t// Try each provided data type in turn\n\tif($tw.log.IMPORT) {\n\t\tconsole.log(\"Available data types:\");\n\t\tfor(var type=0; type<dataTransfer.types.length; type++) {\n\t\t\tconsole.log(\"type\",dataTransfer.types[type],dataTransfer.getData(dataTransfer.types[type]))\n\t\t}\n\t}\n\tfor(var t=0; t<importDataTypes.length; t++) {\n\t\tif(!$tw.browser.isIE || importDataTypes[t].IECompatible) {\n\t\t\t// Get the data\n\t\t\tvar dataType = importDataTypes[t];\n\t\t\t\tvar data = dataTransfer.getData(dataType.type);\n\t\t\t// Import the tiddlers in the data\n\t\t\tif(data !== \"\" && data !== null) {\n\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\tconsole.log(\"Importing data type '\" + dataType.type + \"', data: '\" + data + \"'\")\n\t\t\t\t}\n\t\t\t\tvar tiddlerFields = dataType.toTiddlerFieldsArray(data,fallbackTitle);\n\t\t\t\tcallback(tiddlerFields);\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t}\n};\n\nvar importDataTypes = [\n\t{type: \"text/vnd.tiddler\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn parseJSONTiddlers(data,fallbackTitle);\n\t}},\n\t{type: \"URL\", IECompatible: true, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\t// Check for tiddler data URI\n\t\tvar match = decodeURIComponent(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn parseJSONTiddlers(match[1],fallbackTitle);\n\t\t} else {\n\t\t\treturn [{title: fallbackTitle, text: data}]; // As URL string\n\t\t}\n\t}},\n\t{type: \"text/x-moz-url\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\t// Check for tiddler data URI\n\t\tvar match = decodeURIComponent(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn parseJSONTiddlers(match[1],fallbackTitle);\n\t\t} else {\n\t\t\treturn [{title: fallbackTitle, text: data}]; // As URL string\n\t\t}\n\t}},\n\t{type: \"text/html\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"text/plain\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"Text\", IECompatible: true, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"text/uri-list\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}}\n];\n\nfunction parseJSONTiddlers(json,fallbackTitle) {\n\tvar data = JSON.parse(json);\n\tif(!$tw.utils.isArray(data)) {\n\t\tdata = [data];\n\t}\n\tdata.forEach(function(fields) {\n\t\tfields.title = fields.title || fallbackTitle;\n\t});\n\treturn data;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/http.js": {
"title": "$:/core/modules/utils/dom/http.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/http.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser HTTP support\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nA quick and dirty HTTP function; to be refactored later. Options are:\n\turl: URL to retrieve\n\theaders: hashmap of headers to send\n\ttype: GET, PUT, POST etc\n\tcallback: function invoked with (err,data,xhr)\n\treturnProp: string name of the property to return as first argument of callback\n*/\nexports.httpRequest = function(options) {\n\tvar type = options.type || \"GET\",\n\t\turl = options.url,\n\t\theaders = options.headers || {accept: \"application/json\"},\n\t\treturnProp = options.returnProp || \"responseText\",\n\t\trequest = new XMLHttpRequest(),\n\t\tdata = \"\",\n\t\tf,results;\n\t// Massage the data hashmap into a string\n\tif(options.data) {\n\t\tif(typeof options.data === \"string\") { // Already a string\n\t\t\tdata = options.data;\n\t\t} else { // A hashmap of strings\n\t\t\tresults = [];\n\t\t\t$tw.utils.each(options.data,function(dataItem,dataItemTitle) {\n\t\t\t\tresults.push(dataItemTitle + \"=\" + encodeURIComponent(dataItem));\n\t\t\t});\n\t\t\tif(type === \"GET\" || type === \"HEAD\") {\n\t\t\t\turl += \"?\" + results.join(\"&\");\n\t\t\t} else {\n\t\t\t\tdata = results.join(\"&\");\n\t\t\t}\n\t\t}\n\t}\n\t// Set up the state change handler\n\trequest.onreadystatechange = function() {\n\t\tif(this.readyState === 4) {\n\t\t\tif(this.status === 200 || this.status === 201 || this.status === 204) {\n\t\t\t\t// Success!\n\t\t\t\toptions.callback(null,this[returnProp],this);\n\t\t\t\treturn;\n\t\t\t}\n\t\t// Something went wrong\n\t\toptions.callback($tw.language.getString(\"Error/XMLHttpRequest\") + \": \" + this.status,null,this);\n\t\t}\n\t};\n\t// Make the request\n\trequest.open(type,url,true);\n\tif(headers) {\n\t\t$tw.utils.each(headers,function(header,headerTitle,object) {\n\t\t\trequest.setRequestHeader(headerTitle,header);\n\t\t});\n\t}\n\tif(data && !$tw.utils.hop(headers,\"Content-type\")) {\n\t\trequest.setRequestHeader(\"Content-type\",\"application/x-www-form-urlencoded; charset=UTF-8\");\n\t}\n\tif(!$tw.utils.hop(headers,\"X-Requested-With\")) {\n\t\trequest.setRequestHeader(\"X-Requested-With\",\"TiddlyWiki\");\n\t}\n\ttry {\n\t\trequest.send(data);\n\t} catch(e) {\n\t\toptions.callback(e,null,this);\n\t}\n\treturn request;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/keyboard.js": {
"title": "$:/core/modules/utils/dom/keyboard.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/keyboard.js\ntype: application/javascript\nmodule-type: utils\n\nKeyboard utilities; now deprecated. Instead, use $tw.keyboardManager\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n[\"parseKeyDescriptor\",\"checkKeyDescriptor\"].forEach(function(method) {\n\texports[method] = function() {\n\t\tif($tw.keyboardManager) {\n\t\t\treturn $tw.keyboardManager[method].apply($tw.keyboardManager,Array.prototype.slice.call(arguments,0));\n\t\t} else {\n\t\t\treturn null\n\t\t}\n\t};\n});\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/modal.js": {
"title": "$:/core/modules/utils/dom/modal.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/modal.js\ntype: application/javascript\nmodule-type: utils\n\nModal message mechanism\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar Modal = function(wiki) {\n\tthis.wiki = wiki;\n\tthis.modalCount = 0;\n};\n\n/*\nDisplay a modal dialogue\n\ttitle: Title of tiddler to display\n\toptions: see below\nOptions include:\n\tdownloadLink: Text of a big download link to include\n*/\nModal.prototype.display = function(title,options) {\n\toptions = options || {};\n\tthis.srcDocument = options.variables && (options.variables.rootwindow === \"true\" ||\n\t\t\t\toptions.variables.rootwindow === \"yes\") ? document :\n\t\t\t\t(options.event.event && options.event.event.target ? options.event.event.target.ownerDocument : document);\n\tthis.srcWindow = this.srcDocument.defaultView;\n\tvar self = this,\n\t\trefreshHandler,\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\ttiddler = this.wiki.getTiddler(title);\n\t// Don't do anything if the tiddler doesn't exist\n\tif(!tiddler) {\n\t\treturn;\n\t}\n\t// Create the variables\n\tvar variables = $tw.utils.extend({currentTiddler: title},options.variables);\n\t// Create the wrapper divs\n\tvar wrapper = this.srcDocument.createElement(\"div\"),\n\t\tmodalBackdrop = this.srcDocument.createElement(\"div\"),\n\t\tmodalWrapper = this.srcDocument.createElement(\"div\"),\n\t\tmodalHeader = this.srcDocument.createElement(\"div\"),\n\t\theaderTitle = this.srcDocument.createElement(\"h3\"),\n\t\tmodalBody = this.srcDocument.createElement(\"div\"),\n\t\tmodalLink = this.srcDocument.createElement(\"a\"),\n\t\tmodalFooter = this.srcDocument.createElement(\"div\"),\n\t\tmodalFooterHelp = this.srcDocument.createElement(\"span\"),\n\t\tmodalFooterButtons = this.srcDocument.createElement(\"span\");\n\t// Up the modal count and adjust the body class\n\tthis.modalCount++;\n\tthis.adjustPageClass();\n\t// Add classes\n\t$tw.utils.addClass(wrapper,\"tc-modal-wrapper\");\n\tif(tiddler.fields && tiddler.fields.class) {\n\t\t$tw.utils.addClass(wrapper,tiddler.fields.class);\n\t}\n\t$tw.utils.addClass(modalBackdrop,\"tc-modal-backdrop\");\n\t$tw.utils.addClass(modalWrapper,\"tc-modal\");\n\t$tw.utils.addClass(modalHeader,\"tc-modal-header\");\n\t$tw.utils.addClass(modalBody,\"tc-modal-body\");\n\t$tw.utils.addClass(modalFooter,\"tc-modal-footer\");\n\t// Join them together\n\twrapper.appendChild(modalBackdrop);\n\twrapper.appendChild(modalWrapper);\n\tmodalHeader.appendChild(headerTitle);\n\tmodalWrapper.appendChild(modalHeader);\n\tmodalWrapper.appendChild(modalBody);\n\tmodalFooter.appendChild(modalFooterHelp);\n\tmodalFooter.appendChild(modalFooterButtons);\n\tmodalWrapper.appendChild(modalFooter);\n\t// Render the title of the message\n\tvar headerWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tfield: \"subtitle\",\n\t\tmode: \"inline\",\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\tattributes: {\n\t\t\t\ttext: {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: title\n\t\t}}}],\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\theaderWidgetNode.render(headerTitle,null);\n\t// Render the body of the message\n\tvar bodyWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\tbodyWidgetNode.render(modalBody,null);\n\t// Setup the link if present\n\tif(options.downloadLink) {\n\t\tmodalLink.href = options.downloadLink;\n\t\tmodalLink.appendChild(this.srcDocument.createTextNode(\"Right-click to save changes\"));\n\t\tmodalBody.appendChild(modalLink);\n\t}\n\t// Render the footer of the message\n\tif(tiddler.fields && tiddler.fields.help) {\n\t\tvar link = this.srcDocument.createElement(\"a\");\n\t\tlink.setAttribute(\"href\",tiddler.fields.help);\n\t\tlink.setAttribute(\"target\",\"_blank\");\n\t\tlink.setAttribute(\"rel\",\"noopener noreferrer\");\n\t\tlink.appendChild(this.srcDocument.createTextNode(\"Help\"));\n\t\tmodalFooterHelp.appendChild(link);\n\t\tmodalFooterHelp.style.float = \"left\";\n\t}\n\tvar footerWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tfield: \"footer\",\n\t\tmode: \"inline\",\n\t\tchildren: [{\n\t\t\ttype: \"button\",\n\t\t\tattributes: {\n\t\t\t\tmessage: {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: \"tm-close-tiddler\"\n\t\t\t\t}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\tattributes: {\n\t\t\t\t\ttext: {\n\t\t\t\t\t\ttype: \"string\",\n\t\t\t\t\t\tvalue: $tw.language.getString(\"Buttons/Close/Caption\")\n\t\t\t}}}\n\t\t]}],\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\tfooterWidgetNode.render(modalFooterButtons,null);\n\t// Set up the refresh handler\n\trefreshHandler = function(changes) {\n\t\theaderWidgetNode.refresh(changes,modalHeader,null);\n\t\tbodyWidgetNode.refresh(changes,modalBody,null);\n\t\tfooterWidgetNode.refresh(changes,modalFooterButtons,null);\n\t};\n\tthis.wiki.addEventListener(\"change\",refreshHandler);\n\t// Add the close event handler\n\tvar closeHandler = function(event) {\n\t\t// Remove our refresh handler\n\t\tself.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t// Decrease the modal count and adjust the body class\n\t\tself.modalCount--;\n\t\tself.adjustPageClass();\n\t\t// Force layout and animate the modal message away\n\t\t$tw.utils.forceLayout(modalBackdrop);\n\t\t$tw.utils.forceLayout(modalWrapper);\n\t\t$tw.utils.setStyle(modalBackdrop,[\n\t\t\t{opacity: \"0\"}\n\t\t]);\n\t\t$tw.utils.setStyle(modalWrapper,[\n\t\t\t{transform: \"translateY(\" + self.srcWindow.innerHeight + \"px)\"}\n\t\t]);\n\t\t// Set up an event for the transition end\n\t\tself.srcWindow.setTimeout(function() {\n\t\t\tif(wrapper.parentNode) {\n\t\t\t\t// Remove the modal message from the DOM\n\t\t\t\tself.srcDocument.body.removeChild(wrapper);\n\t\t\t}\n\t\t},duration);\n\t\t// Don't let anyone else handle the tm-close-tiddler message\n\t\treturn false;\n\t};\n\theaderWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\tbodyWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\tfooterWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\t// Set the initial styles for the message\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{opacity: \"0\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transformOrigin: \"0% 0%\"},\n\t\t{transform: \"translateY(\" + (-this.srcWindow.innerHeight) + \"px)\"}\n\t]);\n\t// Put the message into the document\n\tthis.srcDocument.body.appendChild(wrapper);\n\t// Set up animation for the styles\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{transition: \"opacity \" + duration + \"ms ease-out\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out\"}\n\t]);\n\t// Force layout\n\t$tw.utils.forceLayout(modalBackdrop);\n\t$tw.utils.forceLayout(modalWrapper);\n\t// Set final animated styles\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{opacity: \"0.7\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transform: \"translateY(0px)\"}\n\t]);\n};\n\nModal.prototype.adjustPageClass = function() {\n\tvar windowContainer = $tw.pageContainer ? ($tw.pageContainer === this.srcDocument.body.firstChild ? $tw.pageContainer : this.srcDocument.body.firstChild) : null;\n\tif(windowContainer) {\n\t\t$tw.utils.toggleClass(windowContainer,\"tc-modal-displayed\",this.modalCount > 0);\n\t}\n};\n\nexports.Modal = Modal;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/notifier.js": {
"title": "$:/core/modules/utils/dom/notifier.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/notifier.js\ntype: application/javascript\nmodule-type: utils\n\nNotifier mechanism\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar Notifier = function(wiki) {\n\tthis.wiki = wiki;\n};\n\n/*\nDisplay a notification\n\ttitle: Title of tiddler containing the notification text\n\toptions: see below\nOptions include:\n*/\nNotifier.prototype.display = function(title,options) {\n\toptions = options || {};\n\t// Create the wrapper divs\n\tvar self = this,\n\t\tnotification = document.createElement(\"div\"),\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\trefreshHandler;\n\t// Don't do anything if the tiddler doesn't exist\n\tif(!tiddler) {\n\t\treturn;\n\t}\n\t// Add classes\n\t$tw.utils.addClass(notification,\"tc-notification\");\n\t// Create the variables\n\tvar variables = $tw.utils.extend({currentTiddler: title},options.variables);\n\t// Render the body of the notification\n\tvar widgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: document,\n\t\tvariables: variables,\n\t\timportPageMacros: true});\n\twidgetNode.render(notification,null);\n\trefreshHandler = function(changes) {\n\t\twidgetNode.refresh(changes,notification,null);\n\t};\n\tthis.wiki.addEventListener(\"change\",refreshHandler);\n\t// Set the initial styles for the notification\n\t$tw.utils.setStyle(notification,[\n\t\t{opacity: \"0\"},\n\t\t{transformOrigin: \"0% 0%\"},\n\t\t{transform: \"translateY(\" + (-window.innerHeight) + \"px)\"},\n\t\t{transition: \"opacity \" + duration + \"ms ease-out, \" + $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out\"}\n\t]);\n\t// Add the notification to the DOM\n\tdocument.body.appendChild(notification);\n\t// Force layout\n\t$tw.utils.forceLayout(notification);\n\t// Set final animated styles\n\t$tw.utils.setStyle(notification,[\n\t\t{opacity: \"1.0\"},\n\t\t{transform: \"translateY(0px)\"}\n\t]);\n\t// Set a timer to remove the notification\n\twindow.setTimeout(function() {\n\t\t// Remove our change event handler\n\t\tself.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t// Force layout and animate the notification away\n\t\t$tw.utils.forceLayout(notification);\n\t\t$tw.utils.setStyle(notification,[\n\t\t\t{opacity: \"0.0\"},\n\t\t\t{transform: \"translateX(\" + (notification.offsetWidth) + \"px)\"}\n\t\t]);\n\t\t// Remove the modal message from the DOM once the transition ends\n\t\tsetTimeout(function() {\n\t\t\tif(notification.parentNode) {\n\t\t\t\tdocument.body.removeChild(notification);\n\t\t\t}\n\t\t},duration);\n\t},$tw.config.preferences.notificationDuration);\n};\n\nexports.Notifier = Notifier;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/popup.js": {
"title": "$:/core/modules/utils/dom/popup.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/popup.js\ntype: application/javascript\nmodule-type: utils\n\nModule that creates a $tw.utils.Popup object prototype that manages popups in the browser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreates a Popup object with these options:\n\trootElement: the DOM element to which the popup zapper should be attached\n*/\nvar Popup = function(options) {\n\toptions = options || {};\n\tthis.rootElement = options.rootElement || document.documentElement;\n\tthis.popups = []; // Array of {title:,wiki:,domNode:} objects\n};\n\n/*\nTrigger a popup open or closed. Parameters are in a hashmap:\n\ttitle: title of the tiddler where the popup details are stored\n\tdomNode: dom node to which the popup will be positioned (one of domNode or domNodeRect is required)\n\tdomNodeRect: rectangle to which the popup will be positioned\n\twiki: wiki\n\tforce: if specified, forces the popup state to true or false (instead of toggling it)\n\tfloating: if true, skips registering the popup, meaning that it will need manually clearing\n*/\nPopup.prototype.triggerPopup = function(options) {\n\t// Check if this popup is already active\n\tvar index = this.findPopup(options.title);\n\t// Compute the new state\n\tvar state = index === -1;\n\tif(options.force !== undefined) {\n\t\tstate = options.force;\n\t}\n\t// Show or cancel the popup according to the new state\n\tif(state) {\n\t\tthis.show(options);\n\t} else {\n\t\tthis.cancel(index);\n\t}\n};\n\nPopup.prototype.findPopup = function(title) {\n\tvar index = -1;\n\tfor(var t=0; t<this.popups.length; t++) {\n\t\tif(this.popups[t].title === title) {\n\t\t\tindex = t;\n\t\t}\n\t}\n\treturn index;\n};\n\nPopup.prototype.handleEvent = function(event) {\n\tif(event.type === \"click\") {\n\t\t// Find out what was clicked on\n\t\tvar info = this.popupInfo(event.target),\n\t\t\tcancelLevel = info.popupLevel - 1;\n\t\t// Don't remove the level that was clicked on if we clicked on a handle\n\t\tif(info.isHandle) {\n\t\t\tcancelLevel++;\n\t\t}\n\t\t// Cancel\n\t\tthis.cancel(cancelLevel);\n\t}\n};\n\n/*\nFind the popup level containing a DOM node. Returns:\npopupLevel: count of the number of nested popups containing the specified element\nisHandle: true if the specified element is within a popup handle\n*/\nPopup.prototype.popupInfo = function(domNode) {\n\tvar isHandle = false,\n\t\tpopupCount = 0,\n\t\tnode = domNode;\n\t// First check ancestors to see if we're within a popup handle\n\twhile(node) {\n\t\tif($tw.utils.hasClass(node,\"tc-popup-handle\")) {\n\t\t\tisHandle = true;\n\t\t\tpopupCount++;\n\t\t}\n\t\tif($tw.utils.hasClass(node,\"tc-popup-keep\")) {\n\t\t\tisHandle = true;\n\t\t}\n\t\tnode = node.parentNode;\n\t}\n\t// Then count the number of ancestor popups\n\tnode = domNode;\n\twhile(node) {\n\t\tif($tw.utils.hasClass(node,\"tc-popup\")) {\n\t\t\tpopupCount++;\n\t\t}\n\t\tnode = node.parentNode;\n\t}\n\tvar info = {\n\t\tpopupLevel: popupCount,\n\t\tisHandle: isHandle\n\t};\n\treturn info;\n};\n\n/*\nDisplay a popup by adding it to the stack\n*/\nPopup.prototype.show = function(options) {\n\t// Find out what was clicked on\n\tvar info = this.popupInfo(options.domNode);\n\t// Cancel any higher level popups\n\tthis.cancel(info.popupLevel);\n\n\t// Store the popup details if not already there\n\tif(!options.floating && this.findPopup(options.title) === -1) {\n\t\tthis.popups.push({\n\t\t\ttitle: options.title,\n\t\t\twiki: options.wiki,\n\t\t\tdomNode: options.domNode,\n\t\t\tnoStateReference: options.noStateReference\n\t\t});\n\t}\n\t// Set the state tiddler\n\tvar rect;\n\tif(options.domNodeRect) {\n\t\trect = options.domNodeRect;\n\t} else {\n\t\trect = {\n\t\t\tleft: options.domNode.offsetLeft,\n\t\t\ttop: options.domNode.offsetTop,\n\t\t\twidth: options.domNode.offsetWidth,\n\t\t\theight: options.domNode.offsetHeight\n\t\t};\n\t}\n\tvar popupRect = \"(\" + rect.left + \",\" + rect.top + \",\" + \n\t\t\t\trect.width + \",\" + rect.height + \")\";\n\tif(options.noStateReference) {\n\t\toptions.wiki.setText(options.title,\"text\",undefined,popupRect);\n\t} else {\n\t\toptions.wiki.setTextReference(options.title,popupRect);\n\t}\n\t// Add the click handler if we have any popups\n\tif(this.popups.length > 0) {\n\t\tthis.rootElement.addEventListener(\"click\",this,true);\t\t\n\t}\n};\n\n/*\nCancel all popups at or above a specified level or DOM node\nlevel: popup level to cancel (0 cancels all popups)\n*/\nPopup.prototype.cancel = function(level) {\n\tvar numPopups = this.popups.length;\n\tlevel = Math.max(0,Math.min(level,numPopups));\n\tfor(var t=level; t<numPopups; t++) {\n\t\tvar popup = this.popups.pop();\n\t\tif(popup.title) {\n\t\t\tif(popup.noStateReference) {\n\t\t\t\tpopup.wiki.deleteTiddler(popup.title);\n\t\t\t} else {\n\t\t\t\tpopup.wiki.deleteTiddler($tw.utils.parseTextReference(popup.title).title);\n \t\t}\n\t\t}\n\t}\n\tif(this.popups.length === 0) {\n\t\tthis.rootElement.removeEventListener(\"click\",this,false);\n\t}\n};\n\n/*\nReturns true if the specified title and text identifies an active popup\n*/\nPopup.prototype.readPopupState = function(text) {\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/;\n\treturn popupLocationRegExp.test(text);\n};\n\nexports.Popup = Popup;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/scroller.js": {
"title": "$:/core/modules/utils/dom/scroller.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/scroller.js\ntype: application/javascript\nmodule-type: utils\n\nModule that creates a $tw.utils.Scroller object prototype that manages scrolling in the browser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nEvent handler for when the `tm-scroll` event hits the document body\n*/\nvar PageScroller = function() {\n\tthis.idRequestFrame = null;\n\tthis.requestAnimationFrame = window.requestAnimationFrame ||\n\t\twindow.webkitRequestAnimationFrame ||\n\t\twindow.mozRequestAnimationFrame ||\n\t\tfunction(callback) {\n\t\t\treturn window.setTimeout(callback, 1000/60);\n\t\t};\n\tthis.cancelAnimationFrame = window.cancelAnimationFrame ||\n\t\twindow.webkitCancelAnimationFrame ||\n\t\twindow.webkitCancelRequestAnimationFrame ||\n\t\twindow.mozCancelAnimationFrame ||\n\t\twindow.mozCancelRequestAnimationFrame ||\n\t\tfunction(id) {\n\t\t\twindow.clearTimeout(id);\n\t\t};\n};\n\nPageScroller.prototype.isScrolling = function() {\n\treturn this.idRequestFrame !== null;\n}\n\nPageScroller.prototype.cancelScroll = function(srcWindow) {\n\tif(this.idRequestFrame) {\n\t\tthis.cancelAnimationFrame.call(srcWindow,this.idRequestFrame);\n\t\tthis.idRequestFrame = null;\n\t}\n};\n\n/*\nHandle an event\n*/\nPageScroller.prototype.handleEvent = function(event) {\n\tif(event.type === \"tm-scroll\") {\n\t\treturn this.scrollIntoView(event.target);\n\t}\n\treturn true;\n};\n\n/*\nHandle a scroll event hitting the page document\n*/\nPageScroller.prototype.scrollIntoView = function(element,callback) {\n\tvar self = this,\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t srcWindow = element ? element.ownerDocument.defaultView : window;\n\t// Now get ready to scroll the body\n\tthis.cancelScroll(srcWindow);\n\tthis.startTime = Date.now();\n\t// Get the height of any position:fixed toolbars\n\tvar toolbar = srcWindow.document.querySelector(\".tc-adjust-top-of-scroll\"),\n\t\toffset = 0;\n\tif(toolbar) {\n\t\toffset = toolbar.offsetHeight;\n\t}\n\t// Get the client bounds of the element and adjust by the scroll position\n\tvar getBounds = function() {\n\t\t\tvar clientBounds = typeof callback === 'function' ? callback() : element.getBoundingClientRect(),\n\t\t\t\tscrollPosition = $tw.utils.getScrollPosition(srcWindow);\n\t\t\treturn {\n\t\t\t\tleft: clientBounds.left + scrollPosition.x,\n\t\t\t\ttop: clientBounds.top + scrollPosition.y - offset,\n\t\t\t\twidth: clientBounds.width,\n\t\t\t\theight: clientBounds.height\n\t\t\t};\n\t\t},\n\t\t// We'll consider the horizontal and vertical scroll directions separately via this function\n\t\t// targetPos/targetSize - position and size of the target element\n\t\t// currentPos/currentSize - position and size of the current scroll viewport\n\t\t// returns: new position of the scroll viewport\n\t\tgetEndPos = function(targetPos,targetSize,currentPos,currentSize) {\n\t\t\tvar newPos = targetPos;\n\t\t\t// If we are scrolling within 50 pixels of the top/left then snap to zero\n\t\t\tif(newPos < 50) {\n\t\t\t\tnewPos = 0;\n\t\t\t}\n\t\t\treturn newPos;\n\t\t},\n\t\tdrawFrame = function drawFrame() {\n\t\t\tvar t;\n\t\t\tif(duration <= 0) {\n\t\t\t\tt = 1;\n\t\t\t} else {\n\t\t\t\tt = ((Date.now()) - self.startTime) / duration;\t\n\t\t\t}\n\t\t\tif(t >= 1) {\n\t\t\t\tself.cancelScroll(srcWindow);\n\t\t\t\tt = 1;\n\t\t\t}\n\t\t\tt = $tw.utils.slowInSlowOut(t);\n\t\t\tvar scrollPosition = $tw.utils.getScrollPosition(srcWindow),\n\t\t\t\tbounds = getBounds(),\n\t\t\t\tendX = getEndPos(bounds.left,bounds.width,scrollPosition.x,srcWindow.innerWidth),\n\t\t\t\tendY = getEndPos(bounds.top,bounds.height,scrollPosition.y,srcWindow.innerHeight);\n\t\t\tsrcWindow.scrollTo(scrollPosition.x + (endX - scrollPosition.x) * t,scrollPosition.y + (endY - scrollPosition.y) * t);\n\t\t\tif(t < 1) {\n\t\t\t\tself.idRequestFrame = self.requestAnimationFrame.call(srcWindow,drawFrame);\n\t\t\t}\n\t\t};\n\tdrawFrame();\n};\n\nexports.PageScroller = PageScroller;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/edition-info.js": {
"title": "$:/core/modules/utils/edition-info.js",
"text": "/*\\\ntitle: $:/core/modules/utils/edition-info.js\ntype: application/javascript\nmodule-type: utils-node\n\nInformation about the available editions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fs = require(\"fs\"),\n\tpath = require(\"path\");\n\nvar editionInfo;\n\nexports.getEditionInfo = function() {\n\tif(!editionInfo) {\n\t\t// Enumerate the edition paths\n\t\tvar editionPaths = $tw.getLibraryItemSearchPaths($tw.config.editionsPath,$tw.config.editionsEnvVar);\n\t\teditionInfo = {};\n\t\tfor(var editionIndex=0; editionIndex<editionPaths.length; editionIndex++) {\n\t\t\tvar editionPath = editionPaths[editionIndex];\n\t\t\t// Enumerate the folders\n\t\t\tvar entries = fs.readdirSync(editionPath);\n\t\t\tfor(var entryIndex=0; entryIndex<entries.length; entryIndex++) {\n\t\t\t\tvar entry = entries[entryIndex];\n\t\t\t\t// Check if directories have a valid tiddlywiki.info\n\t\t\t\tif(!editionInfo[entry] && $tw.utils.isDirectory(path.resolve(editionPath,entry))) {\n\t\t\t\t\tvar info;\n\t\t\t\t\ttry {\n\t\t\t\t\t\tinfo = JSON.parse(fs.readFileSync(path.resolve(editionPath,entry,\"tiddlywiki.info\"),\"utf8\"));\n\t\t\t\t\t} catch(ex) {\n\t\t\t\t\t}\n\t\t\t\t\tif(info) {\n\t\t\t\t\t\teditionInfo[entry] = info;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn editionInfo;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils-node"
},
"$:/core/modules/utils/fakedom.js": {
"title": "$:/core/modules/utils/fakedom.js",
"text": "/*\\\ntitle: $:/core/modules/utils/fakedom.js\ntype: application/javascript\nmodule-type: global\n\nA barebones implementation of DOM interfaces needed by the rendering mechanism.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Sequence number used to enable us to track objects for testing\nvar sequenceNumber = null;\n\nvar bumpSequenceNumber = function(object) {\n\tif(sequenceNumber !== null) {\n\t\tobject.sequenceNumber = sequenceNumber++;\n\t}\n};\n\nvar TW_TextNode = function(text) {\n\tbumpSequenceNumber(this);\n\tthis.textContent = text + \"\";\n};\n\nObject.defineProperty(TW_TextNode.prototype, \"nodeType\", {\n\tget: function() {\n\t\treturn 3;\n\t}\n});\n\nObject.defineProperty(TW_TextNode.prototype, \"formattedTextContent\", {\n\tget: function() {\n\t\treturn this.textContent.replace(/(\\r?\\n)/g,\"\");\n\t}\n});\n\nvar TW_Element = function(tag,namespace) {\n\tbumpSequenceNumber(this);\n\tthis.isTiddlyWikiFakeDom = true;\n\tthis.tag = tag;\n\tthis.attributes = {};\n\tthis.isRaw = false;\n\tthis.children = [];\n\tthis._style = {};\n\tthis.namespaceURI = namespace || \"http://www.w3.org/1999/xhtml\";\n};\n\nObject.defineProperty(TW_Element.prototype, \"style\", {\n\tget: function() {\n\t\treturn this._style;\n\t},\n\tset: function(str) {\n\t\tvar self = this;\n\t\tstr = str || \"\";\n\t\t$tw.utils.each(str.split(\";\"),function(declaration) {\n\t\t\tvar parts = declaration.split(\":\"),\n\t\t\t\tname = $tw.utils.trim(parts[0]),\n\t\t\t\tvalue = $tw.utils.trim(parts[1]);\n\t\t\tif(name && value) {\n\t\t\t\tself._style[$tw.utils.convertStyleNameToPropertyName(name)] = value;\n\t\t\t}\n\t\t});\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"nodeType\", {\n\tget: function() {\n\t\treturn 1;\n\t}\n});\n\nTW_Element.prototype.getAttribute = function(name) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot getAttribute on a raw TW_Element\";\n\t}\n\treturn this.attributes[name];\n};\n\nTW_Element.prototype.setAttribute = function(name,value) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot setAttribute on a raw TW_Element\";\n\t}\n\tthis.attributes[name] = value + \"\";\n};\n\nTW_Element.prototype.setAttributeNS = function(namespace,name,value) {\n\tthis.setAttribute(name,value);\n};\n\nTW_Element.prototype.removeAttribute = function(name) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot removeAttribute on a raw TW_Element\";\n\t}\n\tif($tw.utils.hop(this.attributes,name)) {\n\t\tdelete this.attributes[name];\n\t}\n};\n\nTW_Element.prototype.appendChild = function(node) {\n\tthis.children.push(node);\n\tnode.parentNode = this;\n};\n\nTW_Element.prototype.insertBefore = function(node,nextSibling) {\n\tif(nextSibling) {\n\t\tvar p = this.children.indexOf(nextSibling);\n\t\tif(p !== -1) {\n\t\t\tthis.children.splice(p,0,node);\n\t\t\tnode.parentNode = this;\n\t\t} else {\n\t\t\tthis.appendChild(node);\n\t\t}\n\t} else {\n\t\tthis.appendChild(node);\n\t}\n};\n\nTW_Element.prototype.removeChild = function(node) {\n\tvar p = this.children.indexOf(node);\n\tif(p !== -1) {\n\t\tthis.children.splice(p,1);\n\t}\n};\n\nTW_Element.prototype.hasChildNodes = function() {\n\treturn !!this.children.length;\n};\n\nObject.defineProperty(TW_Element.prototype, \"childNodes\", {\n\tget: function() {\n\t\treturn this.children;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"firstChild\", {\n\tget: function() {\n\t\treturn this.children[0];\n\t}\n});\n\nTW_Element.prototype.addEventListener = function(type,listener,useCapture) {\n\t// Do nothing\n};\n\nObject.defineProperty(TW_Element.prototype, \"tagName\", {\n\tget: function() {\n\t\treturn this.tag || \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"className\", {\n\tget: function() {\n\t\treturn this.attributes[\"class\"] || \"\";\n\t},\n\tset: function(value) {\n\t\tthis.attributes[\"class\"] = value + \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"value\", {\n\tget: function() {\n\t\treturn this.attributes.value || \"\";\n\t},\n\tset: function(value) {\n\t\tthis.attributes.value = value + \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"outerHTML\", {\n\tget: function() {\n\t\tvar output = [],attr,a,v;\n\t\toutput.push(\"<\",this.tag);\n\t\tif(this.attributes) {\n\t\t\tattr = [];\n\t\t\tfor(a in this.attributes) {\n\t\t\t\tattr.push(a);\n\t\t\t}\n\t\t\tattr.sort();\n\t\t\tfor(a=0; a<attr.length; a++) {\n\t\t\t\tv = this.attributes[attr[a]];\n\t\t\t\tif(v !== undefined) {\n\t\t\t\t\toutput.push(\" \",attr[a],\"=\\\"\",$tw.utils.htmlEncode(v),\"\\\"\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif(this._style) {\n\t\t\tvar style = [];\n\t\t\tfor(var s in this._style) {\n\t\t\t\tstyle.push($tw.utils.convertPropertyNameToStyleName(s) + \":\" + this._style[s] + \";\");\n\t\t\t}\n\t\t\tif(style.length > 0) {\n\t\t\t\toutput.push(\" style=\\\"\",style.join(\"\"),\"\\\"\");\n\t\t\t}\n\t\t}\n\t\toutput.push(\">\");\n\t\tif($tw.config.htmlVoidElements.indexOf(this.tag) === -1) {\n\t\t\toutput.push(this.innerHTML);\n\t\t\toutput.push(\"</\",this.tag,\">\");\n\t\t}\n\t\treturn output.join(\"\");\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"innerHTML\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\treturn this.rawHTML;\n\t\t} else {\n\t\t\tvar b = [];\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tif(node instanceof TW_Element) {\n\t\t\t\t\tb.push(node.outerHTML);\n\t\t\t\t} else if(node instanceof TW_TextNode) {\n\t\t\t\t\tb.push($tw.utils.htmlEncode(node.textContent));\n\t\t\t\t}\n\t\t\t});\n\t\t\treturn b.join(\"\");\n\t\t}\n\t},\n\tset: function(value) {\n\t\tthis.isRaw = true;\n\t\tthis.rawHTML = value;\n\t\tthis.rawTextContent = null;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"textInnerHTML\", {\n\tset: function(value) {\n\t\tif(this.isRaw) {\n\t\t\tthis.rawTextContent = value;\n\t\t} else {\n\t\t\tthrow \"Cannot set textInnerHTML of a non-raw TW_Element\";\n\t\t}\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"textContent\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\tif(this.rawTextContent === null) {\n\t\t\t\treturn \"\";\n\t\t\t} else {\n\t\t\t\treturn this.rawTextContent;\n\t\t\t}\n\t\t} else {\n\t\t\tvar b = [];\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tb.push(node.textContent);\n\t\t\t});\n\t\t\treturn b.join(\"\");\n\t\t}\n\t},\n\tset: function(value) {\n\t\tthis.children = [new TW_TextNode(value)];\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"formattedTextContent\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\treturn \"\";\n\t\t} else {\n\t\t\tvar b = [],\n\t\t\t\tisBlock = $tw.config.htmlBlockElements.indexOf(this.tag) !== -1;\n\t\t\tif(isBlock) {\n\t\t\t\tb.push(\"\\n\");\n\t\t\t}\n\t\t\tif(this.tag === \"li\") {\n\t\t\t\tb.push(\"* \");\n\t\t\t}\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tb.push(node.formattedTextContent);\n\t\t\t});\n\t\t\tif(isBlock) {\n\t\t\t\tb.push(\"\\n\");\n\t\t\t}\n\t\t\treturn b.join(\"\");\n\t\t}\n\t}\n});\n\nvar document = {\n\tsetSequenceNumber: function(value) {\n\t\tsequenceNumber = value;\n\t},\n\tcreateElementNS: function(namespace,tag) {\n\t\treturn new TW_Element(tag,namespace);\n\t},\n\tcreateElement: function(tag) {\n\t\treturn new TW_Element(tag);\n\t},\n\tcreateTextNode: function(text) {\n\t\treturn new TW_TextNode(text);\n\t},\n\tcompatMode: \"CSS1Compat\", // For KaTeX to know that we're not a browser in quirks mode\n\tisTiddlyWikiFakeDom: true\n};\n\nexports.fakeDocument = document;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/utils/filesystem.js": {
"title": "$:/core/modules/utils/filesystem.js",
"text": "/*\\\ntitle: $:/core/modules/utils/filesystem.js\ntype: application/javascript\nmodule-type: utils-node\n\nFile system utilities\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fs = require(\"fs\"),\n\tpath = require(\"path\");\n\n/*\nRecursively (and synchronously) copy a directory and all its content\n*/\nexports.copyDirectory = function(srcPath,dstPath) {\n\t// Remove any trailing path separators\n\tsrcPath = $tw.utils.removeTrailingSeparator(srcPath);\n\tdstPath = $tw.utils.removeTrailingSeparator(dstPath);\n\t// Create the destination directory\n\tvar err = $tw.utils.createDirectory(dstPath);\n\tif(err) {\n\t\treturn err;\n\t}\n\t// Function to copy a folder full of files\n\tvar copy = function(srcPath,dstPath) {\n\t\tvar srcStats = fs.lstatSync(srcPath),\n\t\t\tdstExists = fs.existsSync(dstPath);\n\t\tif(srcStats.isFile()) {\n\t\t\t$tw.utils.copyFile(srcPath,dstPath);\n\t\t} else if(srcStats.isDirectory()) {\n\t\t\tvar items = fs.readdirSync(srcPath);\n\t\t\tfor(var t=0; t<items.length; t++) {\n\t\t\t\tvar item = items[t],\n\t\t\t\t\terr = copy(srcPath + path.sep + item,dstPath + path.sep + item);\n\t\t\t\tif(err) {\n\t\t\t\t\treturn err;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t};\n\tcopy(srcPath,dstPath);\n\treturn null;\n};\n\n/*\nCopy a file\n*/\nvar FILE_BUFFER_LENGTH = 64 * 1024,\n\tfileBuffer;\n\nexports.copyFile = function(srcPath,dstPath) {\n\t// Create buffer if required\n\tif(!fileBuffer) {\n\t\tfileBuffer = Buffer.alloc(FILE_BUFFER_LENGTH);\n\t}\n\t// Create any directories in the destination\n\t$tw.utils.createDirectory(path.dirname(dstPath));\n\t// Copy the file\n\tvar srcFile = fs.openSync(srcPath,\"r\"),\n\t\tdstFile = fs.openSync(dstPath,\"w\"),\n\t\tbytesRead = 1,\n\t\tpos = 0;\n\twhile (bytesRead > 0) {\n\t\tbytesRead = fs.readSync(srcFile,fileBuffer,0,FILE_BUFFER_LENGTH,pos);\n\t\tfs.writeSync(dstFile,fileBuffer,0,bytesRead);\n\t\tpos += bytesRead;\n\t}\n\tfs.closeSync(srcFile);\n\tfs.closeSync(dstFile);\n\treturn null;\n};\n\n/*\nRemove trailing path separator\n*/\nexports.removeTrailingSeparator = function(dirPath) {\n\tvar len = dirPath.length;\n\tif(dirPath.charAt(len-1) === path.sep) {\n\t\tdirPath = dirPath.substr(0,len-1);\n\t}\n\treturn dirPath;\n};\n\n/*\nRecursively create a directory\n*/\nexports.createDirectory = function(dirPath) {\n\tif(dirPath.substr(dirPath.length-1,1) !== path.sep) {\n\t\tdirPath = dirPath + path.sep;\n\t}\n\tvar pos = 1;\n\tpos = dirPath.indexOf(path.sep,pos);\n\twhile(pos !== -1) {\n\t\tvar subDirPath = dirPath.substr(0,pos);\n\t\tif(!$tw.utils.isDirectory(subDirPath)) {\n\t\t\ttry {\n\t\t\t\tfs.mkdirSync(subDirPath);\n\t\t\t} catch(e) {\n\t\t\t\treturn \"Error creating directory '\" + subDirPath + \"'\";\n\t\t\t}\n\t\t}\n\t\tpos = dirPath.indexOf(path.sep,pos + 1);\n\t}\n\treturn null;\n};\n\n/*\nRecursively create directories needed to contain a specified file\n*/\nexports.createFileDirectories = function(filePath) {\n\treturn $tw.utils.createDirectory(path.dirname(filePath));\n};\n\n/*\nRecursively delete a directory\n*/\nexports.deleteDirectory = function(dirPath) {\n\tif(fs.existsSync(dirPath)) {\n\t\tvar entries = fs.readdirSync(dirPath);\n\t\tfor(var entryIndex=0; entryIndex<entries.length; entryIndex++) {\n\t\t\tvar currPath = dirPath + path.sep + entries[entryIndex];\n\t\t\tif(fs.lstatSync(currPath).isDirectory()) {\n\t\t\t\t$tw.utils.deleteDirectory(currPath);\n\t\t\t} else {\n\t\t\t\tfs.unlinkSync(currPath);\n\t\t\t}\n\t\t}\n\tfs.rmdirSync(dirPath);\n\t}\n\treturn null;\n};\n\n/*\nCheck if a path identifies a directory\n*/\nexports.isDirectory = function(dirPath) {\n\treturn fs.existsSync(dirPath) && fs.statSync(dirPath).isDirectory();\n};\n\n/*\nCheck if a path identifies a directory that is empty\n*/\nexports.isDirectoryEmpty = function(dirPath) {\n\tif(!$tw.utils.isDirectory(dirPath)) {\n\t\treturn false;\n\t}\n\tvar files = fs.readdirSync(dirPath),\n\t\tempty = true;\n\t$tw.utils.each(files,function(file,index) {\n\t\tif(file.charAt(0) !== \".\") {\n\t\t\tempty = false;\n\t\t}\n\t});\n\treturn empty;\n};\n\n/*\nRecursively delete a tree of empty directories\n*/\nexports.deleteEmptyDirs = function(dirpath,callback) {\n\tvar self = this;\n\tfs.readdir(dirpath,function(err,files) {\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\tif(files.length > 0) {\n\t\t\treturn callback(null);\n\t\t}\n\t\tfs.rmdir(dirpath,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tself.deleteEmptyDirs(path.dirname(dirpath),callback);\n\t\t});\n\t});\n};\n\n/*\nCreate a fileInfo object for saving a tiddler:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\nOptions include:\n\tdirectory: absolute path of root directory to which we are saving\n\tpathFilters: optional array of filters to be used to generate the base path\n\twiki: optional wiki for evaluating the pathFilters\n*/\nexports.generateTiddlerFileInfo = function(tiddler,options) {\n\tvar fileInfo = {};\n\t// Check if the tiddler has any unsafe fields that can't be expressed in a .tid or .meta file: containing control characters, or leading/trailing whitespace\n\tvar hasUnsafeFields = false;\n\t$tw.utils.each(tiddler.getFieldStrings(),function(value,fieldName) {\n\t\tif(fieldName !== \"text\") {\n\t\t\thasUnsafeFields = hasUnsafeFields || /[\\x00-\\x1F]/mg.test(value);\n\t\t\thasUnsafeFields = hasUnsafeFields || ($tw.utils.trim(value) !== value);\n\t\t}\n\t});\n\t// Check for field values \n\tif(hasUnsafeFields) {\n\t\t// Save as a JSON file\n\t\tfileInfo.type = \"application/json\";\n\t\tfileInfo.hasMetaFile = false;\n\t} else {\n\t\t// Save as a .tid or a text/binary file plus a .meta file\n\t\tvar tiddlerType = tiddler.fields.type || \"text/vnd.tiddlywiki\";\n\t\tif(tiddlerType === \"text/vnd.tiddlywiki\") {\n\t\t\t// Save as a .tid file\n\t\t\tfileInfo.type = \"application/x-tiddler\";\n\t\t\tfileInfo.hasMetaFile = false;\n\t\t} else {\n\t\t\t// Save as a text/binary file and a .meta file\n\t\t\tfileInfo.type = tiddlerType;\n\t\t\tfileInfo.hasMetaFile = true;\n\t\t}\n\t}\n\t// Take the file extension from the tiddler content type\n\tvar contentTypeInfo = $tw.config.contentTypeInfo[fileInfo.type] || {extension: \"\"};\n\t// Generate the filepath\n\tfileInfo.filepath = $tw.utils.generateTiddlerFilepath(tiddler.fields.title,{\n\t\textension: contentTypeInfo.extension,\n\t\tdirectory: options.directory,\n\t\tpathFilters: options.pathFilters,\n\t\twiki: options.wiki\n\t});\n\treturn fileInfo;\n};\n\n/*\nGenerate the filepath for saving a tiddler\nOptions include:\n\textension: file extension to be added the finished filepath\n\tdirectory: absolute path of root directory to which we are saving\n\tpathFilters: optional array of filters to be used to generate the base path\n\twiki: optional wiki for evaluating the pathFilters\n*/\nexports.generateTiddlerFilepath = function(title,options) {\n\tvar self = this,\n\t\tdirectory = options.directory || \"\",\n\t\textension = options.extension || \"\",\n\t\tfilepath;\n\t// Check if any of the pathFilters applies\n\tif(options.pathFilters && options.wiki) {\n\t\t$tw.utils.each(options.pathFilters,function(filter) {\n\t\t\tif(!filepath) {\n\t\t\t\tvar source = options.wiki.makeTiddlerIterator([title]),\n\t\t\t\t\tresult = options.wiki.filterTiddlers(filter,null,source);\n\t\t\t\tif(result.length > 0) {\n\t\t\t\t\tfilepath = result[0];\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\t// If not, generate a base pathname\n\tif(!filepath) {\n\t\tfilepath = title;\n\t\t// If the filepath already ends in the extension then remove it\n\t\tif(filepath.substring(filepath.length - extension.length) === extension) {\n\t\t\tfilepath = filepath.substring(0,filepath.length - extension.length);\n\t\t}\n\t\t// Remove any forward or backward slashes so we don't create directories\n\t\tfilepath = filepath.replace(/\\/|\\\\/g,\"_\");\n\t}\n\t// Don't let the filename start with a dot because such files are invisible on *nix\n\tfilepath = filepath.replace(/^\\./g,\"_\");\n\t// Remove any characters that can't be used in cross-platform filenames\n\tfilepath = $tw.utils.transliterate(filepath.replace(/<|>|\\:|\\\"|\\||\\?|\\*|\\^/g,\"_\"));\n\t// Truncate the filename if it is too long\n\tif(filepath.length > 200) {\n\t\tfilepath = filepath.substr(0,200);\n\t}\n\t// If the resulting filename is blank (eg because the title is just punctuation characters)\n\tif(!filepath) {\n\t\t// ...then just use the character codes of the title\n\t\tfilepath = \"\";\t\n\t\t$tw.utils.each(title.split(\"\"),function(char) {\n\t\t\tif(filepath) {\n\t\t\t\tfilepath += \"-\";\n\t\t\t}\n\t\t\tfilepath += char.charCodeAt(0).toString();\n\t\t});\n\t}\n\t// Add a uniquifier if the file already exists\n\tvar fullPath,\n\t\tcount = 0;\n\tdo {\n\t\tfullPath = path.resolve(directory,filepath + (count ? \"_\" + count : \"\") + extension);\n\t\tcount++;\n\t} while(fs.existsSync(fullPath));\n\t// Return the full path to the file\n\treturn fullPath;\n};\n\n/*\nSave a tiddler to a file described by the fileInfo:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\n*/\nexports.saveTiddlerToFile = function(tiddler,fileInfo,callback) {\n\t$tw.utils.createDirectory(path.dirname(fileInfo.filepath));\n\tif(fileInfo.hasMetaFile) {\n\t\t// Save the tiddler as a separate body and meta file\n\t\tvar typeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/plain\"] || {encoding: \"utf8\"};\n\t\tfs.writeFile(fileInfo.filepath,tiddler.fields.text,typeInfo.encoding,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tfs.writeFile(fileInfo.filepath + \".meta\",tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}),\"utf8\",callback);\n\t\t});\n\t} else {\n\t\t// Save the tiddler as a self contained templated file\n\t\tif(fileInfo.type === \"application/x-tiddler\") {\n\t\t\tfs.writeFile(fileInfo.filepath,tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}) + (!!tiddler.fields.text ? \"\\n\\n\" + tiddler.fields.text : \"\"),\"utf8\",callback);\n\t\t} else {\n\t\t\tfs.writeFile(fileInfo.filepath,JSON.stringify([tiddler.getFieldStrings({exclude: [\"bag\"]})],null,$tw.config.preferences.jsonSpaces),\"utf8\",callback);\n\t\t}\n\t}\n};\n\n/*\nSave a tiddler to a file described by the fileInfo:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\n*/\nexports.saveTiddlerToFileSync = function(tiddler,fileInfo) {\n\t$tw.utils.createDirectory(path.dirname(fileInfo.filepath));\n\tif(fileInfo.hasMetaFile) {\n\t\t// Save the tiddler as a separate body and meta file\n\t\tvar typeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/plain\"] || {encoding: \"utf8\"};\n\t\tfs.writeFileSync(fileInfo.filepath,tiddler.fields.text,typeInfo.encoding);\n\t\tfs.writeFileSync(fileInfo.filepath + \".meta\",tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}),\"utf8\");\n\t} else {\n\t\t// Save the tiddler as a self contained templated file\n\t\tif(fileInfo.type === \"application/x-tiddler\") {\n\t\t\tfs.writeFileSync(fileInfo.filepath,tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}) + (!!tiddler.fields.text ? \"\\n\\n\" + tiddler.fields.text : \"\"),\"utf8\");\n\t\t} else {\n\t\t\tfs.writeFileSync(fileInfo.filepath,JSON.stringify([tiddler.getFieldStrings({exclude: [\"bag\"]})],null,$tw.config.preferences.jsonSpaces),\"utf8\");\n\t\t}\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils-node"
},
"$:/core/modules/utils/logger.js": {
"title": "$:/core/modules/utils/logger.js",
"text": "/*\\\ntitle: $:/core/modules/utils/logger.js\ntype: application/javascript\nmodule-type: utils\n\nA basic logging implementation\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ALERT_TAG = \"$:/tags/Alert\";\n\n/*\nMake a new logger\n*/\nfunction Logger(componentName,options) {\n\toptions = options || {};\n\tthis.componentName = componentName || \"\";\n\tthis.colour = options.colour || \"white\";\n\tthis.enable = \"enable\" in options ? options.enable : true;\n\tthis.save = \"save\" in options ? options.save : true;\n\tthis.saveLimit = options.saveLimit || 100 * 1024;\n\tthis.saveBufferLogger = this;\n\tthis.buffer = \"\";\n\tthis.alertCount = 0;\n}\n\nLogger.prototype.setSaveBuffer = function(logger) {\n\tthis.saveBufferLogger = logger;\n};\n\n/*\nLog a message\n*/\nLogger.prototype.log = function(/* args */) {\n\tvar self = this;\n\tif(this.enable) {\n\t\tif(this.saveBufferLogger.save) {\n\t\t\tthis.saveBufferLogger.buffer += $tw.utils.formatDateString(new Date(),\"YYYY MM DD 0hh:0mm:0ss.0XXX\") + \":\";\n\t\t\t$tw.utils.each(Array.prototype.slice.call(arguments,0),function(arg,index) {\n\t\t\t\tself.saveBufferLogger.buffer += \" \" + arg;\n\t\t\t});\n\t\t\tthis.saveBufferLogger.buffer += \"\\n\";\n\t\t\tthis.saveBufferLogger.buffer = this.saveBufferLogger.buffer.slice(-this.saveBufferLogger.saveLimit);\t\t\t\n\t\t}\n\t\tif(console !== undefined && console.log !== undefined) {\n\t\t\treturn Function.apply.call(console.log, console, [$tw.utils.terminalColour(this.colour),this.componentName + \":\"].concat(Array.prototype.slice.call(arguments,0)).concat($tw.utils.terminalColour()));\n\t\t}\n\t} \n};\n\n/*\nRead the message buffer\n*/\nLogger.prototype.getBuffer = function() {\n\treturn this.saveBufferLogger.buffer;\n};\n\n/*\nLog a structure as a table\n*/\nLogger.prototype.table = function(value) {\n\t(console.table || console.log)(value);\n};\n\n/*\nAlert a message\n*/\nLogger.prototype.alert = function(/* args */) {\n\tif(this.enable) {\n\t\t// Prepare the text of the alert\n\t\tvar text = Array.prototype.join.call(arguments,\" \");\n\t\t// Create alert tiddlers in the browser\n\t\tif($tw.browser) {\n\t\t\t// Check if there is an existing alert with the same text and the same component\n\t\t\tvar existingAlerts = $tw.wiki.getTiddlersWithTag(ALERT_TAG),\n\t\t\t\talertFields,\n\t\t\t\texistingCount,\n\t\t\t\tself = this;\n\t\t\t$tw.utils.each(existingAlerts,function(title) {\n\t\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\t\tif(tiddler.fields.text === text && tiddler.fields.component === self.componentName && tiddler.fields.modified && (!alertFields || tiddler.fields.modified < alertFields.modified)) {\n\t\t\t\t\t\talertFields = $tw.utils.extend({},tiddler.fields);\n\t\t\t\t}\n\t\t\t});\n\t\t\tif(alertFields) {\n\t\t\t\texistingCount = alertFields.count || 1;\n\t\t\t} else {\n\t\t\t\talertFields = {\n\t\t\t\t\ttitle: $tw.wiki.generateNewTitle(\"$:/temp/alerts/alert\",{prefix: \"\"}),\n\t\t\t\t\ttext: text,\n\t\t\t\t\ttags: [ALERT_TAG],\n\t\t\t\t\tcomponent: this.componentName\n\t\t\t\t};\n\t\t\t\texistingCount = 0;\n\t\t\t\tthis.alertCount += 1;\n\t\t\t}\n\t\t\talertFields.modified = new Date();\n\t\t\tif(++existingCount > 1) {\n\t\t\t\talertFields.count = existingCount;\n\t\t\t} else {\n\t\t\t\talertFields.count = undefined;\n\t\t\t}\n\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler(alertFields));\n\t\t\t// Log the alert as well\n\t\t\tthis.log.apply(this,Array.prototype.slice.call(arguments,0));\n\t\t} else {\n\t\t\t// Print an orange message to the console if not in the browser\n\t\t\tconsole.error(\"\\x1b[1;33m\" + text + \"\\x1b[0m\");\n\t\t}\t\t\n\t}\n};\n\n/*\nClear outstanding alerts\n*/\nLogger.prototype.clearAlerts = function() {\n\tvar self = this;\n\tif($tw.browser && this.alertCount > 0) {\n\t\t$tw.utils.each($tw.wiki.getTiddlersWithTag(ALERT_TAG),function(title) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\tif(tiddler.fields.component === self.componentName) {\n\t\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t\t}\n\t\t});\n\t\tthis.alertCount = 0;\n\t}\n};\n\nexports.Logger = Logger;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/parsetree.js": {
"title": "$:/core/modules/utils/parsetree.js",
"text": "/*\\\ntitle: $:/core/modules/utils/parsetree.js\ntype: application/javascript\nmodule-type: utils\n\nParse tree utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.addAttributeToParseTreeNode = function(node,name,value) {\n\tnode.attributes = node.attributes || {};\n\tnode.attributes[name] = {type: \"string\", value: value};\n};\n\nexports.getAttributeValueFromParseTreeNode = function(node,name,defaultValue) {\n\tif(node.attributes && node.attributes[name] && node.attributes[name].value !== undefined) {\n\t\treturn node.attributes[name].value;\n\t}\n\treturn defaultValue;\n};\n\nexports.addClassToParseTreeNode = function(node,classString) {\n\tvar classes = [];\n\tnode.attributes = node.attributes || {};\n\tnode.attributes[\"class\"] = node.attributes[\"class\"] || {type: \"string\", value: \"\"};\n\tif(node.attributes[\"class\"].type === \"string\") {\n\t\tif(node.attributes[\"class\"].value !== \"\") {\n\t\t\tclasses = node.attributes[\"class\"].value.split(\" \");\n\t\t}\n\t\tif(classString !== \"\") {\n\t\t\t$tw.utils.pushTop(classes,classString.split(\" \"));\n\t\t}\n\t\tnode.attributes[\"class\"].value = classes.join(\" \");\n\t}\n};\n\nexports.addStyleToParseTreeNode = function(node,name,value) {\n\t\tnode.attributes = node.attributes || {};\n\t\tnode.attributes.style = node.attributes.style || {type: \"string\", value: \"\"};\n\t\tif(node.attributes.style.type === \"string\") {\n\t\t\tnode.attributes.style.value += name + \":\" + value + \";\";\n\t\t}\n};\n\nexports.findParseTreeNode = function(nodeArray,search) {\n\tfor(var t=0; t<nodeArray.length; t++) {\n\t\tif(nodeArray[t].type === search.type && nodeArray[t].tag === search.tag) {\n\t\t\treturn nodeArray[t];\n\t\t}\n\t}\n\treturn undefined;\n};\n\n/*\nHelper to get the text of a parse tree node or array of nodes\n*/\nexports.getParseTreeText = function getParseTreeText(tree) {\n\tvar output = [];\n\tif($tw.utils.isArray(tree)) {\n\t\t$tw.utils.each(tree,function(node) {\n\t\t\toutput.push(getParseTreeText(node));\n\t\t});\n\t} else {\n\t\tif(tree.type === \"text\") {\n\t\t\toutput.push(tree.text);\n\t\t}\n\t\tif(tree.children) {\n\t\t\treturn getParseTreeText(tree.children);\n\t\t}\n\t}\n\treturn output.join(\"\");\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/performance.js": {
"title": "$:/core/modules/utils/performance.js",
"text": "/*\\\ntitle: $:/core/modules/utils/performance.js\ntype: application/javascript\nmodule-type: global\n\nPerformance measurement.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction Performance(enabled) {\n\tthis.enabled = !!enabled;\n\tthis.measures = {}; // Hashmap by measurement name of {time:, invocations:}\n\tthis.logger = new $tw.utils.Logger(\"performance\");\n\tthis.showGreeting();\n}\n\nPerformance.prototype.showGreeting = function() {\n\tif($tw.browser) {\n\t\tthis.logger.log(\"Execute $tw.perf.log(); to see filter execution timings\");\t\t\n\t}\n};\n\n/*\nWrap performance reporting around a top level function\n*/\nPerformance.prototype.report = function(name,fn) {\n\tvar self = this;\n\tif(this.enabled) {\n\t\treturn function() {\n\t\t\tvar startTime = $tw.utils.timer(),\n\t\t\t\tresult = fn.apply(this,arguments);\n\t\t\tself.logger.log(name + \": \" + $tw.utils.timer(startTime).toFixed(2) + \"ms\");\n\t\t\treturn result;\n\t\t};\n\t} else {\n\t\treturn fn;\n\t}\n};\n\nPerformance.prototype.log = function() {\n\tvar self = this,\n\t\ttotalTime = 0,\n\t\torderedMeasures = Object.keys(this.measures).sort(function(a,b) {\n\t\t\tif(self.measures[a].time > self.measures[b].time) {\n\t\t\t\treturn -1;\n\t\t\t} else if (self.measures[a].time < self.measures[b].time) {\n\t\t\t\treturn + 1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t});\n\t$tw.utils.each(orderedMeasures,function(name) {\n\t\ttotalTime += self.measures[name].time;\n\t});\n\tvar results = []\n\t$tw.utils.each(orderedMeasures,function(name) {\n\t\tvar measure = self.measures[name];\n\t\tresults.push({name: name,invocations: measure.invocations, avgTime: measure.time / measure.invocations, totalTime: measure.time, percentTime: (measure.time / totalTime) * 100})\n\t});\n\tself.logger.table(results);\n};\n\n/*\nWrap performance measurements around a subfunction\n*/\nPerformance.prototype.measure = function(name,fn) {\n\tvar self = this;\n\tif(this.enabled) {\n\t\treturn function() {\n\t\t\tvar startTime = $tw.utils.timer(),\n\t\t\t\tresult = fn.apply(this,arguments);\n\t\t\tif(!(name in self.measures)) {\n\t\t\t\tself.measures[name] = {time: 0, invocations: 0};\n\t\t\t}\n\t\t\tself.measures[name].time += $tw.utils.timer(startTime);\n\t\t\tself.measures[name].invocations++;\n\t\t\treturn result;\n\t\t};\n\t} else {\n\t\treturn fn;\n\t}\n};\n\nexports.Performance = Performance;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/utils/pluginmaker.js": {
"title": "$:/core/modules/utils/pluginmaker.js",
"text": "/*\\\ntitle: $:/core/modules/utils/pluginmaker.js\ntype: application/javascript\nmodule-type: utils\n\nA quick and dirty way to pack up plugins within the browser.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRepack a plugin, and then delete any non-shadow payload tiddlers\n*/\nexports.repackPlugin = function(title,additionalTiddlers,excludeTiddlers) {\n\tadditionalTiddlers = additionalTiddlers || [];\n\texcludeTiddlers = excludeTiddlers || [];\n\t// Get the plugin tiddler\n\tvar pluginTiddler = $tw.wiki.getTiddler(title);\n\tif(!pluginTiddler) {\n\t\tthrow \"No such tiddler as \" + title;\n\t}\n\t// Extract the JSON\n\tvar jsonPluginTiddler;\n\ttry {\n\t\tjsonPluginTiddler = JSON.parse(pluginTiddler.fields.text);\n\t} catch(e) {\n\t\tthrow \"Cannot parse plugin tiddler \" + title + \"\\n\" + $tw.language.getString(\"Error/Caption\") + \": \" + e;\n\t}\n\t// Get the list of tiddlers\n\tvar tiddlers = Object.keys(jsonPluginTiddler.tiddlers);\n\t// Add the additional tiddlers\n\t$tw.utils.pushTop(tiddlers,additionalTiddlers);\n\t// Remove any excluded tiddlers\n\tfor(var t=tiddlers.length-1; t>=0; t--) {\n\t\tif(excludeTiddlers.indexOf(tiddlers[t]) !== -1) {\n\t\t\ttiddlers.splice(t,1);\n\t\t}\n\t}\n\t// Pack up the tiddlers into a block of JSON\n\tvar plugins = {};\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = $tw.wiki.getTiddler(title),\n\t\t\tfields = {};\n\t\t$tw.utils.each(tiddler.fields,function (value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\tplugins[title] = fields;\n\t});\n\t// Retrieve and bump the version number\n\tvar pluginVersion = $tw.utils.parseVersion(pluginTiddler.getFieldString(\"version\") || \"0.0.0\") || {\n\t\t\tmajor: \"0\",\n\t\t\tminor: \"0\",\n\t\t\tpatch: \"0\"\n\t\t};\n\tpluginVersion.patch++;\n\tvar version = pluginVersion.major + \".\" + pluginVersion.minor + \".\" + pluginVersion.patch;\n\tif(pluginVersion.prerelease) {\n\t\tversion += \"-\" + pluginVersion.prerelease;\n\t}\n\tif(pluginVersion.build) {\n\t\tversion += \"+\" + pluginVersion.build;\n\t}\n\t// Save the tiddler\n\t$tw.wiki.addTiddler(new $tw.Tiddler(pluginTiddler,{text: JSON.stringify({tiddlers: plugins},null,4), version: version}));\n\t// Delete any non-shadow constituent tiddlers\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tif($tw.wiki.tiddlerExists(title)) {\n\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t}\n\t});\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\t// Return a heartwarming confirmation\n\treturn \"Plugin \" + title + \" successfully saved\";\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/transliterate.js": {
"title": "$:/core/modules/utils/transliterate.js",
"text": "/*\\\ntitle: $:/core/modules/utils/transliterate.js\ntype: application/javascript\nmodule-type: utils\n\nTransliteration static utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nTransliterate string to ASCII\n\n(Some pairs taken from http://semplicewebsites.com/removing-accents-javascript)\n*/\nexports.transliterationPairs = 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:\"o\",\n\t\"ṓ\":\"o\",\n\t\"ṑ\":\"o\",\n\t\"ǫ\":\"o\",\n\t\"ǭ\":\"o\",\n\t\"ø\":\"o\",\n\t\"ǿ\":\"o\",\n\t\"õ\":\"o\",\n\t\"ṍ\":\"o\",\n\t\"ṏ\":\"o\",\n\t\"ȭ\":\"o\",\n\t\"ƣ\":\"oi\",\n\t\"ꝏ\":\"oo\",\n\t\"ɛ\":\"e\",\n\t\"ᶓ\":\"e\",\n\t\"ɔ\":\"o\",\n\t\"ᶗ\":\"o\",\n\t\"ȣ\":\"ou\",\n\t\"ṕ\":\"p\",\n\t\"ṗ\":\"p\",\n\t\"ꝓ\":\"p\",\n\t\"ƥ\":\"p\",\n\t\"ᵱ\":\"p\",\n\t\"ᶈ\":\"p\",\n\t\"ꝕ\":\"p\",\n\t\"ᵽ\":\"p\",\n\t\"ꝑ\":\"p\",\n\t\"ꝙ\":\"q\",\n\t\"ʠ\":\"q\",\n\t\"ɋ\":\"q\",\n\t\"ꝗ\":\"q\",\n\t\"ŕ\":\"r\",\n\t\"ř\":\"r\",\n\t\"ŗ\":\"r\",\n\t\"ṙ\":\"r\",\n\t\"ṛ\":\"r\",\n\t\"ṝ\":\"r\",\n\t\"ȑ\":\"r\",\n\t\"ɾ\":\"r\",\n\t\"ᵳ\":\"r\",\n\t\"ȓ\":\"r\",\n\t\"ṟ\":\"r\",\n\t\"ɼ\":\"r\",\n\t\"ᵲ\":\"r\",\n\t\"ᶉ\":\"r\",\n\t\"ɍ\":\"r\",\n\t\"ɽ\":\"r\",\n\t\"ↄ\":\"c\",\n\t\"ꜿ\":\"c\",\n\t\"ɘ\":\"e\",\n\t\"ɿ\":\"r\",\n\t\"ś\":\"s\",\n\t\"ṥ\":\"s\",\n\t\"š\":\"s\",\n\t\"ṧ\":\"s\",\n\t\"ş\":\"s\",\n\t\"ŝ\":\"s\",\n\t\"ș\":\"s\",\n\t\"ṡ\":\"s\",\n\t\"ṣ\":\"s\",\n\t\"ṩ\":\"s\",\n\t\"ʂ\":\"s\",\n\t\"ᵴ\":\"s\",\n\t\"ᶊ\":\"s\",\n\t\"ȿ\":\"s\",\n\t\"ɡ\":\"g\",\n\t\"ᴑ\":\"o\",\n\t\"ᴓ\":\"o\",\n\t\"ᴝ\":\"u\",\n\t\"ť\":\"t\",\n\t\"ţ\":\"t\",\n\t\"ṱ\":\"t\",\n\t\"ț\":\"t\",\n\t\"ȶ\":\"t\",\n\t\"ẗ\":\"t\",\n\t\"ⱦ\":\"t\",\n\t\"ṫ\":\"t\",\n\t\"ṭ\":\"t\",\n\t\"ƭ\":\"t\",\n\t\"ṯ\":\"t\",\n\t\"ᵵ\":\"t\",\n\t\"ƫ\":\"t\",\n\t\"ʈ\":\"t\",\n\t\"ŧ\":\"t\",\n\t\"ᵺ\":\"th\",\n\t\"ɐ\":\"a\",\n\t\"ᴂ\":\"ae\",\n\t\"ǝ\":\"e\",\n\t\"ᵷ\":\"g\",\n\t\"ɥ\":\"h\",\n\t\"ʮ\":\"h\",\n\t\"ʯ\":\"h\",\n\t\"ᴉ\":\"i\",\n\t\"ʞ\":\"k\",\n\t\"ꞁ\":\"l\",\n\t\"ɯ\":\"m\",\n\t\"ɰ\":\"m\",\n\t\"ᴔ\":\"oe\",\n\t\"ɹ\":\"r\",\n\t\"ɻ\":\"r\",\n\t\"ɺ\":\"r\",\n\t\"ⱹ\":\"r\",\n\t\"ʇ\":\"t\",\n\t\"ʌ\":\"v\",\n\t\"ʍ\":\"w\",\n\t\"ʎ\":\"y\",\n\t\"ꜩ\":\"tz\",\n\t\"ú\":\"u\",\n\t\"ŭ\":\"u\",\n\t\"ǔ\":\"u\",\n\t\"û\":\"u\",\n\t\"ṷ\":\"u\",\n\t\"ü\":\"u\",\n\t\"ǘ\":\"u\",\n\t\"ǚ\":\"u\",\n\t\"ǜ\":\"u\",\n\t\"ǖ\":\"u\",\n\t\"ṳ\":\"u\",\n\t\"ụ\":\"u\",\n\t\"ű\":\"u\",\n\t\"ȕ\":\"u\",\n\t\"ù\":\"u\",\n\t\"ủ\":\"u\",\n\t\"ư\":\"u\",\n\t\"ứ\":\"u\",\n\t\"ự\":\"u\",\n\t\"ừ\":\"u\",\n\t\"ử\":\"u\",\n\t\"ữ\":\"u\",\n\t\"ȗ\":\"u\",\n\t\"ū\":\"u\",\n\t\"ṻ\":\"u\",\n\t\"ų\":\"u\",\n\t\"ᶙ\":\"u\",\n\t\"ů\":\"u\",\n\t\"ũ\":\"u\",\n\t\"ṹ\":\"u\",\n\t\"ṵ\":\"u\",\n\t\"ᵫ\":\"ue\",\n\t\"ꝸ\":\"um\",\n\t\"ⱴ\":\"v\",\n\t\"ꝟ\":\"v\",\n\t\"ṿ\":\"v\",\n\t\"ʋ\":\"v\",\n\t\"ᶌ\":\"v\",\n\t\"ⱱ\":\"v\",\n\t\"ṽ\":\"v\",\n\t\"ꝡ\":\"vy\",\n\t\"ẃ\":\"w\",\n\t\"ŵ\":\"w\",\n\t\"ẅ\":\"w\",\n\t\"ẇ\":\"w\",\n\t\"ẉ\":\"w\",\n\t\"ẁ\":\"w\",\n\t\"ⱳ\":\"w\",\n\t\"ẘ\":\"w\",\n\t\"ẍ\":\"x\",\n\t\"ẋ\":\"x\",\n\t\"ᶍ\":\"x\",\n\t\"ý\":\"y\",\n\t\"ŷ\":\"y\",\n\t\"ÿ\":\"y\",\n\t\"ẏ\":\"y\",\n\t\"ỵ\":\"y\",\n\t\"ỳ\":\"y\",\n\t\"ƴ\":\"y\",\n\t\"ỷ\":\"y\",\n\t\"ỿ\":\"y\",\n\t\"ȳ\":\"y\",\n\t\"ẙ\":\"y\",\n\t\"ɏ\":\"y\",\n\t\"ỹ\":\"y\",\n\t\"ź\":\"z\",\n\t\"ž\":\"z\",\n\t\"ẑ\":\"z\",\n\t\"ʑ\":\"z\",\n\t\"ⱬ\":\"z\",\n\t\"ż\":\"z\",\n\t\"ẓ\":\"z\",\n\t\"ȥ\":\"z\",\n\t\"ẕ\":\"z\",\n\t\"ᵶ\":\"z\",\n\t\"ᶎ\":\"z\",\n\t\"ʐ\":\"z\",\n\t\"ƶ\":\"z\",\n\t\"ɀ\":\"z\",\n\t\"ff\":\"ff\",\n\t\"ffi\":\"ffi\",\n\t\"ffl\":\"ffl\",\n\t\"fi\":\"fi\",\n\t\"fl\":\"fl\",\n\t\"ij\":\"ij\",\n\t\"œ\":\"oe\",\n\t\"st\":\"st\",\n\t\"ₐ\":\"a\",\n\t\"ₑ\":\"e\",\n\t\"ᵢ\":\"i\",\n\t\"ⱼ\":\"j\",\n\t\"ₒ\":\"o\",\n\t\"ᵣ\":\"r\",\n\t\"ᵤ\":\"u\",\n\t\"ᵥ\":\"v\",\n\t\"ₓ\":\"x\",\n\t\"Ё\":\"YO\",\n\t\"Й\":\"I\",\n\t\"Ц\":\"TS\",\n\t\"У\":\"U\",\n\t\"К\":\"K\",\n\t\"Е\":\"E\",\n\t\"Н\":\"N\",\n\t\"Г\":\"G\",\n\t\"Ш\":\"SH\",\n\t\"Щ\":\"SCH\",\n\t\"З\":\"Z\",\n\t\"Х\":\"H\",\n\t\"Ъ\":\"'\",\n\t\"ё\":\"yo\",\n\t\"й\":\"i\",\n\t\"ц\":\"ts\",\n\t\"у\":\"u\",\n\t\"к\":\"k\",\n\t\"е\":\"e\",\n\t\"н\":\"n\",\n\t\"г\":\"g\",\n\t\"ш\":\"sh\",\n\t\"щ\":\"sch\",\n\t\"з\":\"z\",\n\t\"х\":\"h\",\n\t\"ъ\":\"'\",\n\t\"Ф\":\"F\",\n\t\"Ы\":\"I\",\n\t\"В\":\"V\",\n\t\"А\":\"a\",\n\t\"П\":\"P\",\n\t\"Р\":\"R\",\n\t\"О\":\"O\",\n\t\"Л\":\"L\",\n\t\"Д\":\"D\",\n\t\"Ж\":\"ZH\",\n\t\"Э\":\"E\",\n\t\"ф\":\"f\",\n\t\"ы\":\"i\",\n\t\"в\":\"v\",\n\t\"а\":\"a\",\n\t\"п\":\"p\",\n\t\"р\":\"r\",\n\t\"о\":\"o\",\n\t\"л\":\"l\",\n\t\"д\":\"d\",\n\t\"ж\":\"zh\",\n\t\"э\":\"e\",\n\t\"Я\":\"Ya\",\n\t\"Ч\":\"CH\",\n\t\"С\":\"S\",\n\t\"М\":\"M\",\n\t\"И\":\"I\",\n\t\"Т\":\"T\",\n\t\"Ь\":\"'\",\n\t\"Б\":\"B\",\n\t\"Ю\":\"YU\",\n\t\"я\":\"ya\",\n\t\"ч\":\"ch\",\n\t\"с\":\"s\",\n\t\"м\":\"m\",\n\t\"и\":\"i\",\n\t\"т\":\"t\",\n\t\"ь\":\"'\",\n\t\"б\":\"b\",\n\t\"ю\":\"yu\"\n};\n\nexports.transliterate = function(str) {\n\treturn str.replace(/[^A-Za-z0-9\\[\\] ]/g,function(ch) {\n\t\treturn exports.transliterationPairs[ch] || ch\n\t});\n};\n\nexports.transliterateToSafeASCII = function(str) {\n\treturn str.replace(/[^\\x00-\\x7F]/g,function(ch) {\n\t\treturn exports.transliterationPairs[ch] || \"\"\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/utils.js": {
"title": "$:/core/modules/utils/utils.js",
"text": "/*\\\ntitle: $:/core/modules/utils/utils.js\ntype: application/javascript\nmodule-type: utils\n\nVarious static utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar base64utf8 = require(\"$:/core/modules/utils/base64-utf8/base64-utf8.module.js\");\n\n/*\nDisplay a message, in colour if we're on a terminal\n*/\nexports.log = function(text,colour) {\n\tconsole.log($tw.node ? exports.terminalColour(colour) + text + exports.terminalColour() : text);\n};\n\nexports.terminalColour = function(colour) {\n\tif(!$tw.browser && $tw.node && process.stdout.isTTY) {\n\t\tif(colour) {\n\t\t\tvar code = exports.terminalColourLookup[colour];\n\t\t\tif(code) {\n\t\t\t\treturn \"\\x1b[\" + code + \"m\";\n\t\t\t}\n\t\t} else {\n\t\t\treturn \"\\x1b[0m\"; // Cancel colour\n\t\t}\n\t}\n\treturn \"\";\n};\n\nexports.terminalColourLookup = {\n\t\"black\": \"0;30\",\n\t\"red\": \"0;31\",\n\t\"green\": \"0;32\",\n\t\"brown/orange\": \"0;33\",\n\t\"blue\": \"0;34\",\n\t\"purple\": \"0;35\",\n\t\"cyan\": \"0;36\",\n\t\"light gray\": \"0;37\"\n};\n\n/*\nDisplay a warning, in colour if we're on a terminal\n*/\nexports.warning = function(text) {\n\texports.log(text,\"brown/orange\");\n};\n\n/*\nReturn the integer represented by the str (string).\nReturn the dflt (default) parameter if str is not a base-10 number.\n*/\nexports.getInt = function(str,deflt) {\n\tvar i = parseInt(str,10);\n\treturn isNaN(i) ? deflt : i;\n}\n\n/*\nRepeatedly replaces a substring within a string. Like String.prototype.replace, but without any of the default special handling of $ sequences in the replace string\n*/\nexports.replaceString = function(text,search,replace) {\n\treturn text.replace(search,function() {\n\t\treturn replace;\n\t});\n};\n\n/*\nRepeats a string\n*/\nexports.repeat = function(str,count) {\n\tvar result = \"\";\n\tfor(var t=0;t<count;t++) {\n\t\tresult += str;\n\t}\n\treturn result;\n};\n\n/*\nTrim whitespace from the start and end of a string\nThanks to Steven Levithan, http://blog.stevenlevithan.com/archives/faster-trim-javascript\n*/\nexports.trim = function(str) {\n\tif(typeof str === \"string\") {\n\t\treturn str.replace(/^\\s\\s*/, '').replace(/\\s\\s*$/, '');\n\t} else {\n\t\treturn str;\n\t}\n};\n\n/*\nConvert a string to sentence case (ie capitalise first letter)\n*/\nexports.toSentenceCase = function(str) {\n\treturn (str || \"\").replace(/^\\S/, function(c) {return c.toUpperCase();});\n}\n\n/*\nConvert a string to title case (ie capitalise each initial letter)\n*/\nexports.toTitleCase = function(str) {\n\treturn (str || \"\").replace(/(^|\\s)\\S/g, function(c) {return c.toUpperCase();});\n}\n\t\n/*\nFind the line break preceding a given position in a string\nReturns position immediately after that line break, or the start of the string\n*/\nexports.findPrecedingLineBreak = function(text,pos) {\n\tvar result = text.lastIndexOf(\"\\n\",pos - 1);\n\tif(result === -1) {\n\t\tresult = 0;\n\t} else {\n\t\tresult++;\n\t\tif(text.charAt(result) === \"\\r\") {\n\t\t\tresult++;\n\t\t}\n\t}\n\treturn result;\n};\n\n/*\nFind the line break following a given position in a string\n*/\nexports.findFollowingLineBreak = function(text,pos) {\n\t// Cut to just past the following line break, or to the end of the text\n\tvar result = text.indexOf(\"\\n\",pos);\n\tif(result === -1) {\n\t\tresult = text.length;\n\t} else {\n\t\tif(text.charAt(result) === \"\\r\") {\n\t\t\tresult++;\n\t\t}\n\t}\n\treturn result;\n};\n\n/*\nReturn the number of keys in an object\n*/\nexports.count = function(object) {\n\treturn Object.keys(object || {}).length;\n};\n\n/*\nDetermine whether an array-item is an object-property\n*/\nexports.hopArray = function(object,array) {\n\tfor(var i=0; i<array.length; i++) {\n\t\tif($tw.utils.hop(object,array[i])) {\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nRemove entries from an array\n\tarray: array to modify\n\tvalue: a single value to remove, or an array of values to remove\n*/\nexports.removeArrayEntries = function(array,value) {\n\tvar t,p;\n\tif($tw.utils.isArray(value)) {\n\t\tfor(t=0; t<value.length; t++) {\n\t\t\tp = array.indexOf(value[t]);\n\t\t\tif(p !== -1) {\n\t\t\t\tarray.splice(p,1);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tp = array.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tarray.splice(p,1);\n\t\t}\n\t}\n};\n\n/*\nCheck whether any members of a hashmap are present in another hashmap\n*/\nexports.checkDependencies = function(dependencies,changes) {\n\tvar hit = false;\n\t$tw.utils.each(changes,function(change,title) {\n\t\tif($tw.utils.hop(dependencies,title)) {\n\t\t\thit = true;\n\t\t}\n\t});\n\treturn hit;\n};\n\nexports.extend = function(object /* [, src] */) {\n\t$tw.utils.each(Array.prototype.slice.call(arguments, 1), function(source) {\n\t\tif(source) {\n\t\t\tfor(var property in source) {\n\t\t\t\tobject[property] = source[property];\n\t\t\t}\n\t\t}\n\t});\n\treturn object;\n};\n\nexports.deepCopy = function(object) {\n\tvar result,t;\n\tif($tw.utils.isArray(object)) {\n\t\t// Copy arrays\n\t\tresult = object.slice(0);\n\t} else if(typeof object === \"object\") {\n\t\tresult = {};\n\t\tfor(t in object) {\n\t\t\tif(object[t] !== undefined) {\n\t\t\t\tresult[t] = $tw.utils.deepCopy(object[t]);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tresult = object;\n\t}\n\treturn result;\n};\n\nexports.extendDeepCopy = function(object,extendedProperties) {\n\tvar result = $tw.utils.deepCopy(object),t;\n\tfor(t in extendedProperties) {\n\t\tif(extendedProperties[t] !== undefined) {\n\t\t\tresult[t] = $tw.utils.deepCopy(extendedProperties[t]);\n\t\t}\n\t}\n\treturn result;\n};\n\nexports.deepFreeze = function deepFreeze(object) {\n\tvar property, key;\n\tif(object) {\n\t\tObject.freeze(object);\n\t\tfor(key in object) {\n\t\t\tproperty = object[key];\n\t\t\tif($tw.utils.hop(object,key) && (typeof property === \"object\") && !Object.isFrozen(property)) {\n\t\t\t\tdeepFreeze(property);\n\t\t\t}\n\t\t}\n\t}\n};\n\nexports.slowInSlowOut = function(t) {\n\treturn (1 - ((Math.cos(t * Math.PI) + 1) / 2));\n};\n\nexports.formatDateString = function(date,template) {\n\tvar result = \"\",\n\t\tt = template,\n\t\tmatches = [\n\t\t\t[/^0hh12/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getHours12(date));\n\t\t\t}],\n\t\t\t[/^wYYYY/, function() {\n\t\t\t\treturn $tw.utils.getYearForWeekNo(date);\n\t\t\t}],\n\t\t\t[/^hh12/, function() {\n\t\t\t\treturn $tw.utils.getHours12(date);\n\t\t\t}],\n\t\t\t[/^DDth/, function() {\n\t\t\t\treturn date.getDate() + $tw.utils.getDaySuffix(date);\n\t\t\t}],\n\t\t\t[/^YYYY/, function() {\n\t\t\t\treturn date.getFullYear();\n\t\t\t}],\n\t\t\t[/^0hh/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getHours());\n\t\t\t}],\n\t\t\t[/^0mm/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMinutes());\n\t\t\t}],\n\t\t\t[/^0ss/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getSeconds());\n\t\t\t}],\n\t\t\t[/^0XXX/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMilliseconds(),3);\n\t\t\t}],\n\t\t\t[/^0DD/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getDate());\n\t\t\t}],\n\t\t\t[/^0MM/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMonth()+1);\n\t\t\t}],\n\t\t\t[/^0WW/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getWeek(date));\n\t\t\t}],\n\t\t\t[/^ddd/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Short/Day/\" + date.getDay());\n\t\t\t}],\n\t\t\t[/^mmm/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Short/Month/\" + (date.getMonth() + 1));\n\t\t\t}],\n\t\t\t[/^DDD/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Long/Day/\" + date.getDay());\n\t\t\t}],\n\t\t\t[/^MMM/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Long/Month/\" + (date.getMonth() + 1));\n\t\t\t}],\n\t\t\t[/^TZD/, function() {\n\t\t\t\tvar tz = date.getTimezoneOffset(),\n\t\t\t\tatz = Math.abs(tz);\n\t\t\t\treturn (tz < 0 ? '+' : '-') + $tw.utils.pad(Math.floor(atz / 60)) + ':' + $tw.utils.pad(atz % 60);\n\t\t\t}],\n\t\t\t[/^wYY/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getYearForWeekNo(date) - 2000);\n\t\t\t}],\n\t\t\t[/^[ap]m/, function() {\n\t\t\t\treturn $tw.utils.getAmPm(date).toLowerCase();\n\t\t\t}],\n\t\t\t[/^hh/, function() {\n\t\t\t\treturn date.getHours();\n\t\t\t}],\n\t\t\t[/^mm/, function() {\n\t\t\t\treturn date.getMinutes();\n\t\t\t}],\n\t\t\t[/^ss/, function() {\n\t\t\t\treturn date.getSeconds();\n\t\t\t}],\n\t\t\t[/^XXX/, function() {\n\t\t\t\treturn date.getMilliseconds();\n\t\t\t}],\n\t\t\t[/^[AP]M/, function() {\n\t\t\t\treturn $tw.utils.getAmPm(date).toUpperCase();\n\t\t\t}],\n\t\t\t[/^DD/, function() {\n\t\t\t\treturn date.getDate();\n\t\t\t}],\n\t\t\t[/^MM/, function() {\n\t\t\t\treturn date.getMonth() + 1;\n\t\t\t}],\n\t\t\t[/^WW/, function() {\n\t\t\t\treturn $tw.utils.getWeek(date);\n\t\t\t}],\n\t\t\t[/^YY/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getFullYear() - 2000);\n\t\t\t}]\n\t\t];\n\t// If the user wants everything in UTC, shift the datestamp\n\t// Optimize for format string that essentially means\n\t// 'return raw UTC (tiddlywiki style) date string.'\n\tif(t.indexOf(\"[UTC]\") == 0 ) {\n\t\tif(t == \"[UTC]YYYY0MM0DD0hh0mm0ssXXX\")\n\t\t\treturn $tw.utils.stringifyDate(new Date());\n\t\tvar offset = date.getTimezoneOffset() ; // in minutes\n\t\tdate = new Date(date.getTime()+offset*60*1000) ;\n\t\tt = t.substr(5) ;\n\t}\n\twhile(t.length){\n\t\tvar matchString = \"\";\n\t\t$tw.utils.each(matches, function(m) {\n\t\t\tvar match = m[0].exec(t);\n\t\t\tif(match) {\n\t\t\t\tmatchString = m[1].call();\n\t\t\t\tt = t.substr(match[0].length);\n\t\t\t\treturn false;\n\t\t\t}\n\t\t});\n\t\tif(matchString) {\n\t\t\tresult += matchString;\n\t\t} else {\n\t\t\tresult += t.charAt(0);\n\t\t\tt = t.substr(1);\n\t\t}\n\t}\n\tresult = result.replace(/\\\\(.)/g,\"$1\");\n\treturn result;\n};\n\nexports.getAmPm = function(date) {\n\treturn $tw.language.getString(\"Date/Period/\" + (date.getHours() >= 12 ? \"pm\" : \"am\"));\n};\n\nexports.getDaySuffix = function(date) {\n\treturn $tw.language.getString(\"Date/DaySuffix/\" + date.getDate());\n};\n\nexports.getWeek = function(date) {\n\tvar dt = new Date(date.getTime());\n\tvar d = dt.getDay();\n\tif(d === 0) {\n\t\td = 7; // JavaScript Sun=0, ISO Sun=7\n\t}\n\tdt.setTime(dt.getTime() + (4 - d) * 86400000);// shift day to Thurs of same week to calculate weekNo\n\tvar x = new Date(dt.getFullYear(),0,1);\n\tvar n = Math.floor((dt.getTime() - x.getTime()) / 86400000);\n\treturn Math.floor(n / 7) + 1;\n};\n\nexports.getYearForWeekNo = function(date) {\n\tvar dt = new Date(date.getTime());\n\tvar d = dt.getDay();\n\tif(d === 0) {\n\t\td = 7; // JavaScript Sun=0, ISO Sun=7\n\t}\n\tdt.setTime(dt.getTime() + (4 - d) * 86400000);// shift day to Thurs of same week\n\treturn dt.getFullYear();\n};\n\nexports.getHours12 = function(date) {\n\tvar h = date.getHours();\n\treturn h > 12 ? h-12 : ( h > 0 ? h : 12 );\n};\n\n/*\nConvert a date delta in milliseconds into a string representation of \"23 seconds ago\", \"27 minutes ago\" etc.\n\tdelta: delta in milliseconds\nReturns an object with these members:\n\tdescription: string describing the delta period\n\tupdatePeriod: time in millisecond until the string will be inaccurate\n*/\nexports.getRelativeDate = function(delta) {\n\tvar futurep = false;\n\tif(delta < 0) {\n\t\tdelta = -1 * delta;\n\t\tfuturep = true;\n\t}\n\tvar units = [\n\t\t{name: \"Years\", duration: 365 * 24 * 60 * 60 * 1000},\n\t\t{name: \"Months\", duration: (365/12) * 24 * 60 * 60 * 1000},\n\t\t{name: \"Days\", duration: 24 * 60 * 60 * 1000},\n\t\t{name: \"Hours\", duration: 60 * 60 * 1000},\n\t\t{name: \"Minutes\", duration: 60 * 1000},\n\t\t{name: \"Seconds\", duration: 1000}\n\t];\n\tfor(var t=0; t<units.length; t++) {\n\t\tvar result = Math.floor(delta / units[t].duration);\n\t\tif(result >= 2) {\n\t\t\treturn {\n\t\t\t\tdelta: delta,\n\t\t\t\tdescription: $tw.language.getString(\n\t\t\t\t\t\"RelativeDate/\" + (futurep ? \"Future\" : \"Past\") + \"/\" + units[t].name,\n\t\t\t\t\t{variables:\n\t\t\t\t\t\t{period: result.toString()}\n\t\t\t\t\t}\n\t\t\t\t),\n\t\t\t\tupdatePeriod: units[t].duration\n\t\t\t};\n\t\t}\n\t}\n\treturn {\n\t\tdelta: delta,\n\t\tdescription: $tw.language.getString(\n\t\t\t\"RelativeDate/\" + (futurep ? \"Future\" : \"Past\") + \"/Second\",\n\t\t\t{variables:\n\t\t\t\t{period: \"1\"}\n\t\t\t}\n\t\t),\n\t\tupdatePeriod: 1000\n\t};\n};\n\n// Convert & to \"&\", < to \"<\", > to \">\", \" to \""\"\nexports.htmlEncode = function(s) {\n\tif(s) {\n\t\treturn s.toString().replace(/&/mg,\"&\").replace(/</mg,\"<\").replace(/>/mg,\">\").replace(/\\\"/mg,\""\");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n// Converts all HTML entities to their character equivalents\nexports.entityDecode = function(s) {\n\tvar converter = String.fromCodePoint || String.fromCharCode,\n\t\te = s.substr(1,s.length-2), // Strip the & and the ;\n\t\tc;\n\tif(e.charAt(0) === \"#\") {\n\t\tif(e.charAt(1) === \"x\" || e.charAt(1) === \"X\") {\n\t\t\tc = parseInt(e.substr(2),16);\n\t\t} else {\n\t\t\tc = parseInt(e.substr(1),10);\n\t\t}\n\t\tif(isNaN(c)) {\n\t\t\treturn s;\n\t\t} else {\n\t\t\treturn converter(c);\n\t\t}\n\t} else {\n\t\tc = $tw.config.htmlEntities[e];\n\t\tif(c) {\n\t\t\treturn converter(c);\n\t\t} else {\n\t\t\treturn s; // Couldn't convert it as an entity, just return it raw\n\t\t}\n\t}\n};\n\nexports.unescapeLineBreaks = function(s) {\n\treturn s.replace(/\\\\n/mg,\"\\n\").replace(/\\\\b/mg,\" \").replace(/\\\\s/mg,\"\\\\\").replace(/\\r/mg,\"\");\n};\n\n/*\n * Returns an escape sequence for given character. Uses \\x for characters <=\n * 0xFF to save space, \\u for the rest.\n *\n * The code needs to be in sync with th code template in the compilation\n * function for \"action\" nodes.\n */\n// Copied from peg.js, thanks to David Majda\nexports.escape = function(ch) {\n\tvar charCode = ch.charCodeAt(0);\n\tif(charCode <= 0xFF) {\n\t\treturn '\\\\x' + $tw.utils.pad(charCode.toString(16).toUpperCase());\n\t} else {\n\t\treturn '\\\\u' + $tw.utils.pad(charCode.toString(16).toUpperCase(),4);\n\t}\n};\n\n// Turns a string into a legal JavaScript string\n// Copied from peg.js, thanks to David Majda\nexports.stringify = function(s) {\n\t/*\n\t* ECMA-262, 5th ed., 7.8.4: All characters may appear literally in a string\n\t* literal except for the closing quote character, backslash, carriage return,\n\t* line separator, paragraph separator, and line feed. Any character may\n\t* appear in the form of an escape sequence.\n\t*\n\t* For portability, we also escape all non-ASCII characters.\n\t*/\n\treturn (s || \"\")\n\t\t.replace(/\\\\/g, '\\\\\\\\') // backslash\n\t\t.replace(/\"/g, '\\\\\"') // double quote character\n\t\t.replace(/'/g, \"\\\\'\") // single quote character\n\t\t.replace(/\\r/g, '\\\\r') // carriage return\n\t\t.replace(/\\n/g, '\\\\n') // line feed\n\t\t.replace(/[\\x00-\\x1f\\x80-\\uFFFF]/g, exports.escape); // non-ASCII characters\n};\n\n// Turns a string into a legal JSON string\n// Derived from peg.js, thanks to David Majda\nexports.jsonStringify = function(s) {\n\t// See http://www.json.org/\n\treturn (s || \"\")\n\t\t.replace(/\\\\/g, '\\\\\\\\') // backslash\n\t\t.replace(/\"/g, '\\\\\"') // double quote character\n\t\t.replace(/\\r/g, '\\\\r') // carriage return\n\t\t.replace(/\\n/g, '\\\\n') // line feed\n\t\t.replace(/\\x08/g, '\\\\b') // backspace\n\t\t.replace(/\\x0c/g, '\\\\f') // formfeed\n\t\t.replace(/\\t/g, '\\\\t') // tab\n\t\t.replace(/[\\x00-\\x1f\\x80-\\uFFFF]/g,function(s) {\n\t\t\treturn '\\\\u' + $tw.utils.pad(s.charCodeAt(0).toString(16).toUpperCase(),4);\n\t\t}); // non-ASCII characters\n};\n\n/*\nEscape the RegExp special characters with a preceding backslash\n*/\nexports.escapeRegExp = function(s) {\n return s.replace(/[\\-\\/\\\\\\^\\$\\*\\+\\?\\.\\(\\)\\|\\[\\]\\{\\}]/g, '\\\\$&');\n};\n\n// Checks whether a link target is external, i.e. not a tiddler title\nexports.isLinkExternal = function(to) {\n\tvar externalRegExp = /^(?:file|http|https|mailto|ftp|irc|news|data|skype):[^\\s<>{}\\[\\]`|\"\\\\^]+(?:\\/|\\b)/i;\n\treturn externalRegExp.test(to);\n};\n\nexports.nextTick = function(fn) {\n/*global window: false */\n\tif(typeof process === \"undefined\") {\n\t\t// Apparently it would be faster to use postMessage - http://dbaron.org/log/20100309-faster-timeouts\n\t\twindow.setTimeout(fn,4);\n\t} else {\n\t\tprocess.nextTick(fn);\n\t}\n};\n\n/*\nConvert a hyphenated CSS property name into a camel case one\n*/\nexports.unHyphenateCss = function(propName) {\n\treturn propName.replace(/-([a-z])/gi, function(match0,match1) {\n\t\treturn match1.toUpperCase();\n\t});\n};\n\n/*\nConvert a camelcase CSS property name into a dashed one (\"backgroundColor\" --> \"background-color\")\n*/\nexports.hyphenateCss = function(propName) {\n\treturn propName.replace(/([A-Z])/g, function(match0,match1) {\n\t\treturn \"-\" + match1.toLowerCase();\n\t});\n};\n\n/*\nParse a text reference of one of these forms:\n* title\n* !!field\n* title!!field\n* title##index\n* etc\nReturns an object with the following fields, all optional:\n* title: tiddler title\n* field: tiddler field name\n* index: JSON property index\n*/\nexports.parseTextReference = function(textRef) {\n\t// Separate out the title, field name and/or JSON indices\n\tvar reTextRef = /(?:(.*?)!!(.+))|(?:(.*?)##(.+))|(.*)/mg,\n\t\tmatch = reTextRef.exec(textRef),\n\t\tresult = {};\n\tif(match && reTextRef.lastIndex === textRef.length) {\n\t\t// Return the parts\n\t\tif(match[1]) {\n\t\t\tresult.title = match[1];\n\t\t}\n\t\tif(match[2]) {\n\t\t\tresult.field = match[2];\n\t\t}\n\t\tif(match[3]) {\n\t\t\tresult.title = match[3];\n\t\t}\n\t\tif(match[4]) {\n\t\t\tresult.index = match[4];\n\t\t}\n\t\tif(match[5]) {\n\t\t\tresult.title = match[5];\n\t\t}\n\t} else {\n\t\t// If we couldn't parse it\n\t\tresult.title = textRef\n\t}\n\treturn result;\n};\n\n/*\nChecks whether a string is a valid fieldname\n*/\nexports.isValidFieldName = function(name) {\n\tif(!name || typeof name !== \"string\") {\n\t\treturn false;\n\t}\n\tname = name.toLowerCase().trim();\n\tvar fieldValidatorRegEx = /^[a-z0-9\\-\\._]+$/mg;\n\treturn fieldValidatorRegEx.test(name);\n};\n\n/*\nExtract the version number from the meta tag or from the boot file\n*/\n\n// Browser version\nexports.extractVersionInfo = function() {\n\tif($tw.packageInfo) {\n\t\treturn $tw.packageInfo.version;\n\t} else {\n\t\tvar metatags = document.getElementsByTagName(\"meta\");\n\t\tfor(var t=0; t<metatags.length; t++) {\n\t\t\tvar m = metatags[t];\n\t\t\tif(m.name === \"tiddlywiki-version\") {\n\t\t\t\treturn m.content;\n\t\t\t}\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nGet the animation duration in ms\n*/\nexports.getAnimationDuration = function() {\n\treturn parseInt($tw.wiki.getTiddlerText(\"$:/config/AnimationDuration\",\"400\"),10) || 0;\n};\n\n/*\nHash a string to a number\nDerived from http://stackoverflow.com/a/15710692\n*/\nexports.hashString = function(str) {\n\treturn str.split(\"\").reduce(function(a,b) {\n\t\ta = ((a << 5) - a) + b.charCodeAt(0);\n\t\treturn a & a;\n\t},0);\n};\n\n/*\nDecode a base64 string\n*/\nexports.base64Decode = function(string64) {\n\treturn base64utf8.base64.decode.call(base64utf8,string64);\n};\n\n/*\nEncode a string to base64\n*/\nexports.base64Encode = function(string64) {\n\treturn base64utf8.base64.encode.call(base64utf8,string64);\n};\n\n/*\nConvert a hashmap into a tiddler dictionary format sequence of name:value pairs\n*/\nexports.makeTiddlerDictionary = function(data) {\n\tvar output = [];\n\tfor(var name in data) {\n\t\toutput.push(name + \": \" + data[name]);\n\t}\n\treturn output.join(\"\\n\");\n};\n\n/*\nHigh resolution microsecond timer for profiling\n*/\nexports.timer = function(base) {\n\tvar m;\n\tif($tw.node) {\n\t\tvar r = process.hrtime();\n\t\tm = r[0] * 1e3 + (r[1] / 1e6);\n\t} else if(window.performance) {\n\t\tm = performance.now();\n\t} else {\n\t\tm = Date.now();\n\t}\n\tif(typeof base !== \"undefined\") {\n\t\tm = m - base;\n\t}\n\treturn m;\n};\n\n/*\nConvert text and content type to a data URI\n*/\nexports.makeDataUri = function(text,type,_canonical_uri) {\n\ttype = type || \"text/vnd.tiddlywiki\";\n\tvar typeInfo = $tw.config.contentTypeInfo[type] || $tw.config.contentTypeInfo[\"text/plain\"],\n\t\tisBase64 = typeInfo.encoding === \"base64\",\n\t\tparts = [];\n\tif(_canonical_uri) {\n\t\tparts.push(_canonical_uri);\n\t} else {\n\t\tparts.push(\"data:\");\n\t\tparts.push(type);\n\t\tparts.push(isBase64 ? \";base64\" : \"\");\n\t\tparts.push(\",\");\n\t\tparts.push(isBase64 ? text : encodeURIComponent(text));\t\t\n\t}\n\treturn parts.join(\"\");\n};\n\n/*\nUseful for finding out the fully escaped CSS selector equivalent to a given tag. For example:\n\n$tw.utils.tagToCssSelector(\"$:/tags/Stylesheet\") --> tc-tagged-\\%24\\%3A\\%2Ftags\\%2FStylesheet\n*/\nexports.tagToCssSelector = function(tagName) {\n\treturn \"tc-tagged-\" + encodeURIComponent(tagName).replace(/[!\"#$%&'()*+,\\-./:;<=>?@[\\\\\\]^`{\\|}~,]/mg,function(c) {\n\t\treturn \"\\\\\" + c;\n\t});\n};\n\n/*\nIE does not have sign function\n*/\nexports.sign = Math.sign || function(x) {\n\tx = +x; // convert to a number\n\tif (x === 0 || isNaN(x)) {\n\t\treturn x;\n\t}\n\treturn x > 0 ? 1 : -1;\n};\n\n/*\nIE does not have an endsWith function\n*/\nexports.strEndsWith = function(str,ending,position) {\n\tif(str.endsWith) {\n\t\treturn str.endsWith(ending,position);\n\t} else {\n\t\tif (typeof position !== 'number' || !isFinite(position) || Math.floor(position) !== position || position > str.length) {\n\t\t\tposition = str.length;\n\t\t}\n\t\tposition -= ending.length;\n\t\tvar lastIndex = str.indexOf(ending, position);\n\t\treturn lastIndex !== -1 && lastIndex === position;\n\t}\n};\n\n/*\nReturn system information useful for debugging\n*/\nexports.getSystemInfo = function(str,ending,position) {\n\tvar results = [],\n\t\tsave = function(desc,value) {\n\t\t\tresults.push(desc + \": \" + value);\n\t\t};\n\tif($tw.browser) {\n\t\tsave(\"User Agent\",navigator.userAgent);\n\t\tsave(\"Online Status\",window.navigator.onLine);\n\t}\n\tif($tw.node) {\n\t\tsave(\"Node Version\",process.version);\n\t}\n\treturn results.join(\"\\n\");\n};\n\nexports.parseNumber = function(str) {\n\treturn parseFloat(str) || 0;\n};\n\nexports.parseInt = function(str) {\n\treturn parseInt(str,10) || 0;\n};\n\nexports.stringifyNumber = function(num) {\n\treturn num + \"\";\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/widgets/action-createtiddler.js": {
"title": "$:/core/modules/widgets/action-createtiddler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-createtiddler.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to create a new tiddler with a unique name and specified fields.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw:false, require:false, exports:false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CreateTiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCreateTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCreateTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nCreateTiddlerWidget.prototype.execute = function() {\n\tthis.actionBaseTitle = this.getAttribute(\"$basetitle\");\n\tthis.hasBase = !!this.actionBaseTitle;\n\tthis.actionSaveTitle = this.getAttribute(\"$savetitle\");\n\tthis.actionSaveDraftTitle = this.getAttribute(\"$savedrafttitle\");\n\tthis.actionTimestamp = this.getAttribute(\"$timestamp\",\"yes\") === \"yes\";\n\t//Following params are new since 5.1.22\n\tthis.actionTemplate = this.getAttribute(\"$template\");\n\tthis.useTemplate = !!this.actionTemplate;\n\tthis.actionOverwrite = this.getAttribute(\"$overwrite\",\"no\");\n\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nCreateTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nCreateTiddlerWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar title = this.wiki.getTiddlerText(\"$:/language/DefaultNewTiddlerTitle\"), // Get the initial new-tiddler title\n\t\tfields = {},\n\t\tcreationFields,\n\t\tmodificationFields;\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tfields[name] = attribute;\n\t\t}\n\t});\n\tif(this.actionTimestamp) {\n\t\tcreationFields = this.wiki.getCreationFields();\n\t\tmodificationFields = this.wiki.getModificationFields();\n\t}\n\tif(this.hasBase && this.actionOverwrite === \"no\") {\n\t\ttitle = this.wiki.generateNewTitle(this.actionBaseTitle);\n\t} else if (this.hasBase && this.actionOverwrite === \"yes\") {\n\t\ttitle = this.actionBaseTitle\n\t}\n\t// NO $basetitle BUT $template parameter is available\n\t// the title MUST be unique, otherwise the template would be overwritten\n\tif (!this.hasBase && this.useTemplate) {\n\t\ttitle = this.wiki.generateNewTitle(this.actionTemplate);\n\t} else if (!this.hasBase && !this.useTemplate) {\n\t\t// If NO $basetitle AND NO $template use initial title\n\t\t// DON'T overwrite any stuff\n\t\ttitle = this.wiki.generateNewTitle(title);\n\t}\n\tvar templateTiddler = this.wiki.getTiddler(this.actionTemplate) || {};\n\tvar tiddler = this.wiki.addTiddler(new $tw.Tiddler(templateTiddler.fields,creationFields,fields,modificationFields,{title: title}));\n\tif(this.actionSaveTitle) {\n\t\tthis.wiki.setTextReference(this.actionSaveTitle,title,this.getVariable(\"currentTiddler\"));\n\t}\n\tif(this.actionSaveDraftTitle) {\n\t\tthis.wiki.setTextReference(this.actionSaveDraftTitle,this.wiki.generateDraftTitle(title),this.getVariable(\"currentTiddler\"));\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-createtiddler\"] = CreateTiddlerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-deletefield.js": {
"title": "$:/core/modules/widgets/action-deletefield.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-deletefield.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to delete fields of a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DeleteFieldWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDeleteFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDeleteFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nDeleteFieldWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nDeleteFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nDeleteFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this,\n\t\ttiddler = this.wiki.getTiddler(self.actionTiddler),\n\t\tremoveFields = {},\n\t\thasChanged = false;\n\tif(this.actionField && tiddler) {\n\t\tremoveFields[this.actionField] = undefined;\n\t\tif(this.actionField in tiddler.fields) {\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\tif(tiddler) {\n\t\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\t\tif(name.charAt(0) !== \"$\" && name !== \"title\") {\n\t\t\t\tremoveFields[name] = undefined;\n\t\t\t\thasChanged = true;\n\t\t\t}\n\t\t});\n\t\tif(hasChanged) {\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),tiddler,removeFields,this.wiki.getModificationFields()));\t\t\t\n\t\t}\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-deletefield\"] = DeleteFieldWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-deletetiddler.js": {
"title": "$:/core/modules/widgets/action-deletetiddler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-deletetiddler.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to delete a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DeleteTiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDeleteTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDeleteTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nDeleteTiddlerWidget.prototype.execute = function() {\n\tthis.actionFilter = this.getAttribute(\"$filter\");\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nDeleteTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$filter\"] || changedAttributes[\"$tiddler\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nDeleteTiddlerWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar tiddlers = [];\n\tif(this.actionFilter) {\n\t\ttiddlers = this.wiki.filterTiddlers(this.actionFilter,this);\n\t}\n\tif(this.actionTiddler) {\n\t\ttiddlers.push(this.actionTiddler);\n\t}\n\tfor(var t=0; t<tiddlers.length; t++) {\n\t\tthis.wiki.deleteTiddler(tiddlers[t]);\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-deletetiddler\"] = DeleteTiddlerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-listops.js": {
"title": "$:/core/modules/widgets/action-listops.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-listops.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to apply list operations to any tiddler field (defaults to the 'list' field of the current tiddler)\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\nvar ActionListopsWidget = function(parseTreeNode, options) {\n\tthis.initialise(parseTreeNode, options);\n};\n/**\n * Inherit from the base widget class\n */\nActionListopsWidget.prototype = new Widget();\n/**\n * Render this widget into the DOM\n */\nActionListopsWidget.prototype.render = function(parent, nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n/**\n * Compute the internal state of the widget\n */\nActionListopsWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.target = this.getAttribute(\"$tiddler\", this.getVariable(\n\t\t\"currentTiddler\"));\n\tthis.filter = this.getAttribute(\"$filter\");\n\tthis.subfilter = this.getAttribute(\"$subfilter\");\n\tthis.listField = this.getAttribute(\"$field\", \"list\");\n\tthis.listIndex = this.getAttribute(\"$index\");\n\tthis.filtertags = this.getAttribute(\"$tags\");\n};\n/**\n * \tRefresh the widget by ensuring our attributes are up to date\n */\nActionListopsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.$tiddler || changedAttributes.$filter ||\n\t\tchangedAttributes.$subfilter || changedAttributes.$field ||\n\t\tchangedAttributes.$index || changedAttributes.$tags) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n/**\n * \tInvoke the action associated with this widget\n */\nActionListopsWidget.prototype.invokeAction = function(triggeringWidget,\n\tevent) {\n\t//Apply the specified filters to the lists\n\tvar field = this.listField,\n\t\tindex,\n\t\ttype = \"!!\",\n\t\tlist = this.listField;\n\tif(this.listIndex) {\n\t\tfield = undefined;\n\t\tindex = this.listIndex;\n\t\ttype = \"##\";\n\t\tlist = this.listIndex;\n\t}\n\tif(this.filter) {\n\t\tthis.wiki.setText(this.target, field, index, $tw.utils.stringifyList(\n\t\t\tthis.wiki\n\t\t\t.filterTiddlers(this.filter, this)));\n\t}\n\tif(this.subfilter) {\n\t\tvar subfilter = \"[list[\" + this.target + type + list + \"]] \" + this.subfilter;\n\t\tthis.wiki.setText(this.target, field, index, $tw.utils.stringifyList(\n\t\t\tthis.wiki\n\t\t\t.filterTiddlers(subfilter, this)));\n\t}\n\tif(this.filtertags) {\n\t\tvar tiddler = this.wiki.getTiddler(this.target),\n\t\t\toldtags = tiddler ? (tiddler.fields.tags || []).slice(0) : [],\n\t\t\ttagfilter = \"[list[\" + this.target + \"!!tags]] \" + this.filtertags,\n\t\t\tnewtags = this.wiki.filterTiddlers(tagfilter,this);\n\t\tif($tw.utils.stringifyList(oldtags.sort()) !== $tw.utils.stringifyList(newtags.sort())) {\n\t\t\tthis.wiki.setText(this.target,\"tags\",undefined,$tw.utils.stringifyList(newtags));\t\t\t\n\t\t}\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-listops\"] = ActionListopsWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-navigate.js": {
"title": "$:/core/modules/widgets/action-navigate.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-navigate.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to navigate to a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar NavigateWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nNavigateWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nNavigateWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nNavigateWidget.prototype.execute = function() {\n\tthis.actionTo = this.getAttribute(\"$to\");\n\tthis.actionScroll = this.getAttribute(\"$scroll\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nNavigateWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$to\"] || changedAttributes[\"$scroll\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nNavigateWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tevent = event || {};\n\tvar bounds = triggeringWidget && triggeringWidget.getBoundingClientRect && triggeringWidget.getBoundingClientRect(),\n\t\tsuppressNavigation = event.metaKey || event.ctrlKey || (event.button === 1);\n\tif(this.actionScroll === \"yes\") {\n\t\tsuppressNavigation = false;\n\t} else if(this.actionScroll === \"no\") {\n\t\tsuppressNavigation = true;\n\t}\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.actionTo === undefined ? this.getVariable(\"currentTiddler\") : this.actionTo,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: triggeringWidget,\n\t\tnavigateFromClientRect: bounds && { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: suppressNavigation\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-navigate\"] = NavigateWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-popup.js": {
"title": "$:/core/modules/widgets/action-popup.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-popup.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to trigger a popup.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ActionPopupWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nActionPopupWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nActionPopupWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nActionPopupWidget.prototype.execute = function() {\n\tthis.actionState = this.getAttribute(\"$state\");\n\tthis.actionCoords = this.getAttribute(\"$coords\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nActionPopupWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$state\"] || changedAttributes[\"$coords\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nActionPopupWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\t// Trigger the popup\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/,\n\t\tmatch = popupLocationRegExp.exec(this.actionCoords);\n\tif(match) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: null,\n\t\t\tdomNodeRect: {\n\t\t\t\tleft: parseFloat(match[1]),\n\t\t\t\ttop: parseFloat(match[2]),\n\t\t\t\twidth: parseFloat(match[3]),\n\t\t\t\theight: parseFloat(match[4])\n\t\t\t},\n\t\t\ttitle: this.actionState,\n\t\t\twiki: this.wiki\n\t\t});\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-popup\"] = ActionPopupWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-sendmessage.js": {
"title": "$:/core/modules/widgets/action-sendmessage.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-sendmessage.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to send a message\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SendMessageWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSendMessageWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSendMessageWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSendMessageWidget.prototype.execute = function() {\n\tthis.actionMessage = this.getAttribute(\"$message\");\n\tthis.actionParam = this.getAttribute(\"$param\");\n\tthis.actionName = this.getAttribute(\"$name\");\n\tthis.actionValue = this.getAttribute(\"$value\",\"\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSendMessageWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(Object.keys(changedAttributes).length) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSendMessageWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\t// Get the string parameter\n\tvar param = this.actionParam;\n\t// Assemble the attributes as a hashmap\n\tvar paramObject = Object.create(null);\n\tvar count = 0;\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tparamObject[name] = attribute;\n\t\t\tcount++;\n\t\t}\n\t});\n\t// Add name/value pair if present\n\tif(this.actionName) {\n\t\tparamObject[this.actionName] = this.actionValue;\n\t}\n\t// Dispatch the message\n\tthis.dispatchEvent({\n\t\ttype: this.actionMessage,\n\t\tparam: param,\n\t\tparamObject: paramObject,\n\t\ttiddlerTitle: this.getVariable(\"currentTiddler\"),\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tevent: event\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-sendmessage\"] = SendMessageWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-setfield.js": {
"title": "$:/core/modules/widgets/action-setfield.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-setfield.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to set a single field or index on a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetFieldWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetFieldWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\");\n\tthis.actionIndex = this.getAttribute(\"$index\");\n\tthis.actionValue = this.getAttribute(\"$value\");\n\tthis.actionTimestamp = this.getAttribute(\"$timestamp\",\"yes\") === \"yes\";\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSetFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"] || changedAttributes[\"$field\"] || changedAttributes[\"$index\"] || changedAttributes[\"$value\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSetFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this,\n\t\toptions = {};\n\toptions.suppressTimestamp = !this.actionTimestamp;\n\tif((typeof this.actionField == \"string\") || (typeof this.actionIndex == \"string\") || (typeof this.actionValue == \"string\")) {\n\t\tthis.wiki.setText(this.actionTiddler,this.actionField,this.actionIndex,this.actionValue,options);\n\t}\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tself.wiki.setText(self.actionTiddler,name,undefined,attribute,options);\n\t\t}\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-setfield\"] = SetFieldWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/browse.js": {
"title": "$:/core/modules/widgets/browse.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/browse.js\ntype: application/javascript\nmodule-type: widget\n\nBrowse widget for browsing for files to import\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar BrowseWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nBrowseWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nBrowseWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"input\");\n\tdomNode.setAttribute(\"type\",\"file\");\n\tif(this.browseMultiple) {\n\t\tdomNode.setAttribute(\"multiple\",\"multiple\");\n\t}\n\tif(this.tooltip) {\n\t\tdomNode.setAttribute(\"title\",this.tooltip);\n\t}\n\t// Nw.js supports \"nwsaveas\" to force a \"save as\" dialogue that allows a new or existing file to be selected\n\tif(this.nwsaveas) {\n\t\tdomNode.setAttribute(\"nwsaveas\",this.nwsaveas);\n\t}\n\t// Nw.js supports \"webkitdirectory\" and \"nwdirectory\" to allow a directory to be selected\n\tif(this.webkitdirectory) {\n\t\tdomNode.setAttribute(\"webkitdirectory\",this.webkitdirectory);\n\t}\n\tif(this.nwdirectory) {\n\t\tdomNode.setAttribute(\"nwdirectory\",this.nwdirectory);\n\t}\n\t// Add a click event handler\n\tdomNode.addEventListener(\"change\",function (event) {\n\t\tif(self.message) {\n\t\t\tself.dispatchEvent({type: self.message, param: self.param, files: event.target.files});\n\t\t} else {\n\t\t\tself.wiki.readFiles(event.target.files,{\n\t\t\t\tcallback: function(tiddlerFieldsArray) {\n\t\t\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t\t\t},\n\t\t\t\tdeserializer: self.deserializer\n\t\t\t});\n\t\t}\n\t\treturn false;\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nBrowseWidget.prototype.execute = function() {\n\tthis.browseMultiple = this.getAttribute(\"multiple\");\n\tthis.deserializer = this.getAttribute(\"deserializer\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis.nwsaveas = this.getAttribute(\"nwsaveas\");\n\tthis.webkitdirectory = this.getAttribute(\"webkitdirectory\");\n\tthis.nwdirectory = this.getAttribute(\"nwdirectory\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nBrowseWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.browse = BrowseWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/button.js": {
"title": "$:/core/modules/widgets/button.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/button.js\ntype: application/javascript\nmodule-type: widget\n\nButton widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ButtonWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nButtonWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nButtonWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar tag = \"button\";\n\tif(this.buttonTag && $tw.config.htmlUnsafeElements.indexOf(this.buttonTag) === -1) {\n\t\ttag = this.buttonTag;\n\t}\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = this[\"class\"].split(\" \") || [],\n\t\tisPoppedUp = (this.popup || this.popupTitle) && this.isPoppedUp();\n\tif(this.selectedClass) {\n\t\tif((this.set || this.setTitle) && this.setTo && this.isSelected()) {\n\t\t\t$tw.utils.pushTop(classes,this.selectedClass.split(\" \"));\n\t\t}\n\t\tif(isPoppedUp) {\n\t\t\t$tw.utils.pushTop(classes,this.selectedClass.split(\" \"));\n\t\t}\n\t}\n\tif(isPoppedUp) {\n\t\t$tw.utils.pushTop(classes,\"tc-popup-handle\");\n\t}\n\tdomNode.className = classes.join(\" \");\n\t// Assign other attributes\n\tif(this.style) {\n\t\tdomNode.setAttribute(\"style\",this.style);\n\t}\n\tif(this.tooltip) {\n\t\tdomNode.setAttribute(\"title\",this.tooltip);\n\t}\n\tif(this[\"aria-label\"]) {\n\t\tdomNode.setAttribute(\"aria-label\",this[\"aria-label\"]);\n\t}\n\t// Set the tabindex\n\tif(this.tabIndex) {\n\t\tdomNode.setAttribute(\"tabindex\",this.tabIndex);\n\t}\t\n\t// Add a click event handler\n\tdomNode.addEventListener(\"click\",function (event) {\n\t\tvar handled = false;\n\t\tif(self.invokeActions(self,event)) {\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.to) {\n\t\t\tself.navigateTo(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.message) {\n\t\t\tself.dispatchMessage(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.popup || self.popupTitle) {\n\t\t\tself.triggerPopup(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.set || self.setTitle) {\n\t\t\tself.setTiddler();\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.actions) {\n\t\t\tself.invokeActionString(self.actions,self,event);\n\t\t}\n\t\tif(handled) {\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t}\n\t\treturn handled;\n\t},false);\n\t// Make it draggable if required\n\tif(this.dragTiddler || this.dragFilter) {\n\t\t$tw.utils.makeDraggable({\n\t\t\tdomNode: domNode,\n\t\t\tdragTiddlerFn: function() {return self.dragTiddler;},\n\t\t\tdragFilterFn: function() {return self.dragFilter;},\n\t\t\twidget: this\n\t\t});\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nWe don't allow actions to propagate because we trigger actions ourselves\n*/\nButtonWidget.prototype.allowActionPropagation = function() {\n\treturn false;\n};\n\nButtonWidget.prototype.getBoundingClientRect = function() {\n\treturn this.domNodes[0].getBoundingClientRect();\n};\n\nButtonWidget.prototype.isSelected = function() {\n return this.setTitle ? (this.setField ? this.wiki.getTiddler(this.setTitle).getFieldString(this.setField) === this.setTo :\n\t\t(this.setIndex ? this.wiki.extractTiddlerDataItem(this.setTitle,this.setIndex) === this.setTo :\n\t\t\tthis.wiki.getTiddlerText(this.setTitle))) || this.defaultSetValue || this.getVariable(\"currentTiddler\") :\n\t\tthis.wiki.getTextReference(this.set,this.defaultSetValue,this.getVariable(\"currentTiddler\")) === this.setTo;\n};\n\nButtonWidget.prototype.isPoppedUp = function() {\n\tvar tiddler = this.popupTitle ? this.wiki.getTiddler(this.popupTitle) : this.wiki.getTiddler(this.popup);\n\tvar result = tiddler && tiddler.fields.text ? $tw.popup.readPopupState(tiddler.fields.text) : false;\n\treturn result;\n};\n\nButtonWidget.prototype.navigateTo = function(event) {\n\tvar bounds = this.getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1),\n\t\tevent: event\n\t});\n};\n\nButtonWidget.prototype.dispatchMessage = function(event) {\n\tthis.dispatchEvent({type: this.message, param: this.param, tiddlerTitle: this.getVariable(\"currentTiddler\"), event: event});\n};\n\nButtonWidget.prototype.triggerPopup = function(event) {\n\tif(this.popupTitle) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNodes[0],\n\t\t\ttitle: this.popupTitle,\n\t\t\twiki: this.wiki,\n\t\t\tnoStateReference: true\n\t\t});\n\t} else {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNodes[0],\n\t\t\ttitle: this.popup,\n\t\t\twiki: this.wiki\n\t\t});\n\t}\n};\n\nButtonWidget.prototype.setTiddler = function() {\n\tif(this.setTitle) {\n\t\tthis.setField ? this.wiki.setText(this.setTitle,this.setField,undefined,this.setTo) :\n\t\t\t\t(this.setIndex ? this.wiki.setText(this.setTitle,undefined,this.setIndex,this.setTo) :\n\t\t\t\tthis.wiki.setText(this.setTitle,\"text\",undefined,this.setTo));\n\t} else {\n\t\tthis.wiki.setTextReference(this.set,this.setTo,this.getVariable(\"currentTiddler\"));\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nButtonWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.actions = this.getAttribute(\"actions\");\n\tthis.to = this.getAttribute(\"to\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.set = this.getAttribute(\"set\");\n\tthis.setTo = this.getAttribute(\"setTo\");\n\tthis.popup = this.getAttribute(\"popup\");\n\tthis.hover = this.getAttribute(\"hover\");\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tthis[\"aria-label\"] = this.getAttribute(\"aria-label\");\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis.style = this.getAttribute(\"style\");\n\tthis.selectedClass = this.getAttribute(\"selectedClass\");\n\tthis.defaultSetValue = this.getAttribute(\"default\",\"\");\n\tthis.buttonTag = this.getAttribute(\"tag\");\n\tthis.dragTiddler = this.getAttribute(\"dragTiddler\");\n\tthis.dragFilter = this.getAttribute(\"dragFilter\");\n\tthis.setTitle = this.getAttribute(\"setTitle\");\n\tthis.setField = this.getAttribute(\"setField\");\n\tthis.setIndex = this.getAttribute(\"setIndex\");\n\tthis.popupTitle = this.getAttribute(\"popupTitle\");\n\tthis.tabIndex = this.getAttribute(\"tabindex\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nButtonWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.actions || changedAttributes.to || changedAttributes.message || changedAttributes.param || changedAttributes.set || changedAttributes.setTo || changedAttributes.popup || changedAttributes.hover || changedAttributes[\"class\"] || changedAttributes.selectedClass || changedAttributes.style || changedAttributes.dragFilter || changedAttributes.dragTiddler || (this.set && changedTiddlers[this.set]) || (this.popup && changedTiddlers[this.popup]) || (this.popupTitle && changedTiddlers[this.popupTitle]) || changedAttributes.setTitle || changedAttributes.setField || changedAttributes.setIndex || changedAttributes.popupTitle) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.button = ButtonWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/checkbox.js": {
"title": "$:/core/modules/widgets/checkbox.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/checkbox.js\ntype: application/javascript\nmodule-type: widget\n\nCheckbox widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CheckboxWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCheckboxWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCheckboxWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our elements\n\tthis.labelDomNode = this.document.createElement(\"label\");\n\tthis.labelDomNode.setAttribute(\"class\",this.checkboxClass);\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"checkbox\");\n\tif(this.getValue()) {\n\t\tthis.inputDomNode.setAttribute(\"checked\",\"true\");\n\t}\n\tthis.labelDomNode.appendChild(this.inputDomNode);\n\tthis.spanDomNode = this.document.createElement(\"span\");\n\tthis.labelDomNode.appendChild(this.spanDomNode);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.labelDomNode,nextSibling);\n\tthis.renderChildren(this.spanDomNode,null);\n\tthis.domNodes.push(this.labelDomNode);\n};\n\nCheckboxWidget.prototype.getValue = function() {\n\tvar tiddler = this.wiki.getTiddler(this.checkboxTitle);\n\tif(tiddler) {\n\t\tif(this.checkboxTag) {\n\t\t\tif(this.checkboxInvertTag) {\n\t\t\t\treturn !tiddler.hasTag(this.checkboxTag);\n\t\t\t} else {\n\t\t\t\treturn tiddler.hasTag(this.checkboxTag);\n\t\t\t}\n\t\t}\n\t\tif(this.checkboxField) {\n\t\t\tvar value;\n\t\t\tif($tw.utils.hop(tiddler.fields,this.checkboxField)) {\n\t\t\t\tvalue = tiddler.fields[this.checkboxField] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = this.checkboxDefault || \"\";\n\t\t\t}\n\t\t\tif(value === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(value === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t\tif(this.checkboxIndex) {\n\t\t\tvar value = this.wiki.extractTiddlerDataItem(tiddler,this.checkboxIndex,this.checkboxDefault || \"\");\n\t\t\tif(value === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(value === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t} else {\n\t\tif(this.checkboxTag) {\n\t\t\treturn false;\n\t\t}\n\t\tif(this.checkboxField) {\n\t\t\tif(this.checkboxDefault === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(this.checkboxDefault === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\nCheckboxWidget.prototype.handleChangeEvent = function(event) {\n\tvar checked = this.inputDomNode.checked,\n\t\ttiddler = this.wiki.getTiddler(this.checkboxTitle),\n\t\tfallbackFields = {text: \"\"},\n\t\tnewFields = {title: this.checkboxTitle},\n\t\thasChanged = false,\n\t\ttagCheck = false,\n\t\thasTag = tiddler && tiddler.hasTag(this.checkboxTag),\n\t\tvalue = checked ? this.checkboxChecked : this.checkboxUnchecked;\n\tif(this.checkboxTag && this.checkboxInvertTag === \"yes\") {\n\t\ttagCheck = hasTag === checked;\n\t} else {\n\t\ttagCheck = hasTag !== checked;\n\t}\n\t// Set the tag if specified\n\tif(this.checkboxTag && (!tiddler || tagCheck)) {\n\t\tnewFields.tags = tiddler ? (tiddler.fields.tags || []).slice(0) : [];\n\t\tvar pos = newFields.tags.indexOf(this.checkboxTag);\n\t\tif(pos !== -1) {\n\t\t\tnewFields.tags.splice(pos,1);\n\t\t}\n\t\tif(this.checkboxInvertTag === \"yes\" && !checked) {\n\t\t\tnewFields.tags.push(this.checkboxTag);\n\t\t} else if(this.checkboxInvertTag !== \"yes\" && checked) {\n\t\t\tnewFields.tags.push(this.checkboxTag);\n\t\t}\n\t\thasChanged = true;\n\t}\n\t// Set the field if specified\n\tif(this.checkboxField) {\n\t\tif(!tiddler || tiddler.fields[this.checkboxField] !== value) {\n\t\t\tnewFields[this.checkboxField] = value;\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\t// Set the index if specified\n\tif(this.checkboxIndex) {\n\t\tvar indexValue = this.wiki.extractTiddlerDataItem(this.checkboxTitle,this.checkboxIndex);\n\t\tif(!tiddler || indexValue !== value) {\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\tif(hasChanged) {\n\t\tif(this.checkboxIndex) {\n\t\t\tthis.wiki.setText(this.checkboxTitle,\"\",this.checkboxIndex,value);\n\t\t} else {\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),fallbackFields,tiddler,newFields,this.wiki.getModificationFields()));\n\t\t}\n\t}\n\t// Trigger actions\n\tif(this.checkboxActions) {\n\t\tthis.invokeActionString(this.checkboxActions,this,event);\n\t}\n\tif(this.checkboxCheckActions && checked) {\n\t\tthis.invokeActionString(this.checkboxCheckActions,this,event);\n\t}\n\tif(this.checkboxUncheckActions && !checked) {\n\t\tthis.invokeActionString(this.checkboxUncheckActions,this,event);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nCheckboxWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.checkboxActions = this.getAttribute(\"actions\");\n\tthis.checkboxCheckActions = this.getAttribute(\"checkactions\");\n\tthis.checkboxUncheckActions = this.getAttribute(\"uncheckactions\");\n\tthis.checkboxTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.checkboxTag = this.getAttribute(\"tag\");\n\tthis.checkboxField = this.getAttribute(\"field\");\n\tthis.checkboxIndex = this.getAttribute(\"index\");\n\tthis.checkboxChecked = this.getAttribute(\"checked\");\n\tthis.checkboxUnchecked = this.getAttribute(\"unchecked\");\n\tthis.checkboxDefault = this.getAttribute(\"default\");\n\tthis.checkboxClass = this.getAttribute(\"class\",\"\");\n\tthis.checkboxInvertTag = this.getAttribute(\"invertTag\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCheckboxWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.tag || changedAttributes.invertTag || changedAttributes.field || changedAttributes.index || changedAttributes.checked || changedAttributes.unchecked || changedAttributes[\"default\"] || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.checkboxTitle]) {\n\t\t\tthis.inputDomNode.checked = this.getValue();\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.checkbox = CheckboxWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/codeblock.js": {
"title": "$:/core/modules/widgets/codeblock.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/codeblock.js\ntype: application/javascript\nmodule-type: widget\n\nCode block node widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CodeBlockWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCodeBlockWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCodeBlockWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar codeNode = this.document.createElement(\"code\"),\n\t\tdomNode = this.document.createElement(\"pre\");\n\tcodeNode.appendChild(this.document.createTextNode(this.getAttribute(\"code\")));\n\tdomNode.appendChild(codeNode);\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n\tif(this.postRender) {\n\t\tthis.postRender();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nCodeBlockWidget.prototype.execute = function() {\n\tthis.language = this.getAttribute(\"language\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCodeBlockWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.codeblock = CodeBlockWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/count.js": {
"title": "$:/core/modules/widgets/count.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/count.js\ntype: application/javascript\nmodule-type: widget\n\nCount widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CountWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCountWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCountWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.currentCount);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nCountWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.filter = this.getAttribute(\"filter\");\n\t// Execute the filter\n\tif(this.filter) {\n\t\tthis.currentCount = this.wiki.filterTiddlers(this.filter,this).length;\n\t} else {\n\t\tthis.currentCount = \"0\";\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCountWidget.prototype.refresh = function(changedTiddlers) {\n\t// Re-execute the filter to get the count\n\tthis.computeAttributes();\n\tvar oldCount = this.currentCount;\n\tthis.execute();\n\tif(this.currentCount !== oldCount) {\n\t\t// Regenerate and rerender the widget and replace the existing DOM node\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n\n};\n\nexports.count = CountWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/diff-text.js": {
"title": "$:/core/modules/widgets/diff-text.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/diff-text.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to display a diff between two texts\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget,\n\tdmp = require(\"$:/core/modules/utils/diff-match-patch/diff_match_patch.js\");\n\nvar DiffTextWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDiffTextWidget.prototype = new Widget();\n\nDiffTextWidget.prototype.invisibleCharacters = {\n\t\"\\n\": \"↩︎\\n\",\n\t\"\\r\": \"⇠\",\n\t\"\\t\": \"⇥\\t\"\n};\n\n/*\nRender this widget into the DOM\n*/\nDiffTextWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create the diff\n\tvar dmpObject = new dmp.diff_match_patch(),\n\t\tdiffs = dmpObject.diff_main(this.getAttribute(\"source\"),this.getAttribute(\"dest\"));\n\t// Apply required cleanup\n\tswitch(this.getAttribute(\"cleanup\",\"semantic\")) {\n\t\tcase \"none\":\n\t\t\t// No cleanup\n\t\t\tbreak;\n\t\tcase \"efficiency\":\n\t\t\tdmpObject.diff_cleanupEfficiency(diffs);\n\t\t\tbreak;\n\t\tdefault: // case \"semantic\"\n\t\t\tdmpObject.diff_cleanupSemantic(diffs);\n\t\t\tbreak;\n\t}\n\t// Create the elements\n\tvar domContainer = this.document.createElement(\"div\"), \n\t\tdomDiff = this.createDiffDom(diffs);\n\tparent.insertBefore(domContainer,nextSibling);\n\t// Set variables\n\tthis.setVariable(\"diff-count\",diffs.reduce(function(acc,diff) {\n\t\tif(diff[0] !== dmp.DIFF_EQUAL) {\n\t\t\tacc++;\n\t\t}\n\t\treturn acc;\n\t},0).toString());\n\t// Render child widgets\n\tthis.renderChildren(domContainer,null);\n\t// Render the diff\n\tdomContainer.appendChild(domDiff);\n\t// Save our container\n\tthis.domNodes.push(domContainer);\n};\n\n/*\nCreate DOM elements representing a list of diffs\n*/\nDiffTextWidget.prototype.createDiffDom = function(diffs) {\n\tvar self = this;\n\t// Create the element and assign the attributes\n\tvar domPre = this.document.createElement(\"pre\"),\n\t\tdomCode = this.document.createElement(\"code\");\n\t$tw.utils.each(diffs,function(diff) {\n\t\tvar tag = diff[0] === dmp.DIFF_INSERT ? \"ins\" : (diff[0] === dmp.DIFF_DELETE ? \"del\" : \"span\"),\n\t\t\tclassName = diff[0] === dmp.DIFF_INSERT ? \"tc-diff-insert\" : (diff[0] === dmp.DIFF_DELETE ? \"tc-diff-delete\" : \"tc-diff-equal\"),\n\t\t\tdom = self.document.createElement(tag),\n\t\t\ttext = diff[1],\n\t\t\tcurrPos = 0,\n\t\t\tre = /([\\x00-\\x1F])/mg,\n\t\t\tmatch = re.exec(text),\n\t\t\tspan,\n\t\t\tprintable;\n\t\tdom.className = className;\n\t\twhile(match) {\n\t\t\tif(currPos < match.index) {\n\t\t\t\tdom.appendChild(self.document.createTextNode(text.slice(currPos,match.index)));\n\t\t\t}\n\t\t\tspan = self.document.createElement(\"span\");\n\t\t\tspan.className = \"tc-diff-invisible\";\n\t\t\tprintable = self.invisibleCharacters[match[0]] || (\"[0x\" + match[0].charCodeAt(0).toString(16) + \"]\");\n\t\t\tspan.appendChild(self.document.createTextNode(printable));\n\t\t\tdom.appendChild(span);\n\t\t\tcurrPos = match.index + match[0].length;\n\t\t\tmatch = re.exec(text);\n\t\t}\n\t\tif(currPos < text.length) {\n\t\t\tdom.appendChild(self.document.createTextNode(text.slice(currPos)));\n\t\t}\n\t\tdomCode.appendChild(dom);\n\t});\n\tdomPre.appendChild(domCode);\n\treturn domPre;\n};\n\n/*\nCompute the internal state of the widget\n*/\nDiffTextWidget.prototype.execute = function() {\n\t// Make child widgets\n\tvar parseTreeNodes;\n\tif(this.parseTreeNode && this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\tparseTreeNodes = this.parseTreeNode.children;\n\t} else {\n\t\tparseTreeNodes = [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: \"$:/language/Diffs/CountMessage\"}\n\t\t\t}\n\t\t}];\n\t}\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDiffTextWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.source || changedAttributes.dest || changedAttributes.cleanup) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports[\"diff-text\"] = DiffTextWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/draggable.js": {
"title": "$:/core/modules/widgets/draggable.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/draggable.js\ntype: application/javascript\nmodule-type: widget\n\nDraggable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DraggableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDraggableWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDraggableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Sanitise the specified tag\n\tvar tag = this.draggableTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"div\";\n\t}\n\t// Create our element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = [\"tc-draggable\"];\n\tif(this.draggableClasses) {\n\t\tclasses.push(this.draggableClasses);\n\t}\n\tdomNode.setAttribute(\"class\",classes.join(\" \"));\n\t// Add event handlers\n\t$tw.utils.makeDraggable({\n\t\tdomNode: domNode,\n\t\tdragTiddlerFn: function() {return self.getAttribute(\"tiddler\");},\n\t\tdragFilterFn: function() {return self.getAttribute(\"filter\");},\n\t\tstartActions: self.startActions,\n\t\tendActions: self.endActions,\n\t\twidget: this\n\t});\n\t// Insert the link into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nDraggableWidget.prototype.execute = function() {\n\t// Pick up our attributes\n\tthis.draggableTag = this.getAttribute(\"tag\",\"div\");\n\tthis.draggableClasses = this.getAttribute(\"class\");\n\tthis.startActions = this.getAttribute(\"startactions\");\n\tthis.endActions = this.getAttribute(\"endactions\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDraggableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tag || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.draggable = DraggableWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/droppable.js": {
"title": "$:/core/modules/widgets/droppable.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/droppable.js\ntype: application/javascript\nmodule-type: widget\n\nDroppable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DroppableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDroppableWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDroppableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.droppableTag && $tw.config.htmlUnsafeElements.indexOf(this.droppableTag) === -1) {\n\t\ttag = this.droppableTag;\n\t}\n\t// Create element and assign classes\n\tvar domNode = this.document.createElement(tag),\n\t\tclasses = (this[\"class\"] || \"\").split(\" \");\n\tclasses.push(\"tc-droppable\");\n\tdomNode.className = classes.join(\" \");\n\t// Add event handlers\n\tif(this.droppableEnable) {\n\t\t$tw.utils.addEventListeners(domNode,[\n\t\t\t{name: \"dragenter\", handlerObject: this, handlerMethod: \"handleDragEnterEvent\"},\n\t\t\t{name: \"dragover\", handlerObject: this, handlerMethod: \"handleDragOverEvent\"},\n\t\t\t{name: \"dragleave\", handlerObject: this, handlerMethod: \"handleDragLeaveEvent\"},\n\t\t\t{name: \"drop\", handlerObject: this, handlerMethod: \"handleDropEvent\"}\n\t\t]);\t\t\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n\t// Stack of outstanding enter/leave events\n\tthis.currentlyEntered = [];\n};\n\nDroppableWidget.prototype.enterDrag = function(event) {\n\tif(this.currentlyEntered.indexOf(event.target) === -1) {\n\t\tthis.currentlyEntered.push(event.target);\n\t}\n\t// If we're entering for the first time we need to apply highlighting\n\t$tw.utils.addClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDroppableWidget.prototype.leaveDrag = function(event) {\n\tvar pos = this.currentlyEntered.indexOf(event.target);\n\tif(pos !== -1) {\n\t\tthis.currentlyEntered.splice(pos,1);\n\t}\n\t// Remove highlighting if we're leaving externally. The hacky second condition is to resolve a problem with Firefox whereby there is an erroneous dragenter event if the node being dragged is within the dropzone\n\tif(this.currentlyEntered.length === 0 || (this.currentlyEntered.length === 1 && this.currentlyEntered[0] === $tw.dragInProgress)) {\n\t\tthis.currentlyEntered = [];\n\t\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t}\n};\n\nDroppableWidget.prototype.handleDragEnterEvent = function(event) {\n\tthis.enterDrag(event);\n\t// Tell the browser that we're ready to handle the drop\n\tevent.preventDefault();\n\t// Tell the browser not to ripple the drag up to any parent drop handlers\n\tevent.stopPropagation();\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDragOverEvent = function(event) {\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Tell the browser that we're still interested in the drop\n\tevent.preventDefault();\n\t// Set the drop effect\n\tevent.dataTransfer.dropEffect = this.droppableEffect;\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDragLeaveEvent = function(event) {\n\tthis.leaveDrag(event);\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDropEvent = function(event) {\n\tvar self = this;\n\tthis.leaveDrag(event);\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\tvar dataTransfer = event.dataTransfer;\n\t// Remove highlighting\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t// Try to import the various data types we understand\n\t$tw.utils.importDataTransfer(dataTransfer,null,function(fieldsArray) {\n\t\tfieldsArray.forEach(function(fields) {\n\t\t\tself.performActions(fields.title || fields.text,event);\n\t\t});\n\t});\n\t// Tell the browser that we handled the drop\n\tevent.preventDefault();\n\t// Stop the drop ripple up to any parent handlers\n\tevent.stopPropagation();\n\treturn false;\n};\n\nDroppableWidget.prototype.performActions = function(title,event) {\n\tif(this.droppableActions) {\n\t\tvar modifierKey = event.ctrlKey && ! event.shiftKey ? \"ctrl\" : event.shiftKey && !event.ctrlKey ? \"shift\" : \n\t\t\t\tevent.ctrlKey && event.shiftKey ? \"ctrl-shift\" : \"normal\" ;\n\t\tthis.invokeActionString(this.droppableActions,this,event,{actionTiddler: title, modifier: modifierKey});\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nDroppableWidget.prototype.execute = function() {\n\tthis.droppableActions = this.getAttribute(\"actions\");\n\tthis.droppableEffect = this.getAttribute(\"effect\",\"copy\");\n\tthis.droppableTag = this.getAttribute(\"tag\");\n\tthis.droppableClass = this.getAttribute(\"class\");\n\tthis.droppableEnable = (this.getAttribute(\"enable\") || \"yes\") === \"yes\";\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDroppableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"class\"] || changedAttributes.tag || changedAttributes.enable) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.droppable = DroppableWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/dropzone.js": {
"title": "$:/core/modules/widgets/dropzone.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/dropzone.js\ntype: application/javascript\nmodule-type: widget\n\nDropzone widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DropZoneWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDropZoneWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDropZoneWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"div\");\n\tdomNode.className = this.dropzoneClass || \"tc-dropzone\";\n\t// Add event handlers\n\tif(this.dropzoneEnable) {\n\t\t$tw.utils.addEventListeners(domNode,[\n\t\t\t{name: \"dragenter\", handlerObject: this, handlerMethod: \"handleDragEnterEvent\"},\n\t\t\t{name: \"dragover\", handlerObject: this, handlerMethod: \"handleDragOverEvent\"},\n\t\t\t{name: \"dragleave\", handlerObject: this, handlerMethod: \"handleDragLeaveEvent\"},\n\t\t\t{name: \"drop\", handlerObject: this, handlerMethod: \"handleDropEvent\"},\n\t\t\t{name: \"paste\", handlerObject: this, handlerMethod: \"handlePasteEvent\"},\n\t\t\t{name: \"dragend\", handlerObject: this, handlerMethod: \"handleDragEndEvent\"}\n\t\t]);\t\t\n\t}\n\tdomNode.addEventListener(\"click\",function (event) {\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n\t// Stack of outstanding enter/leave events\n\tthis.currentlyEntered = [];\n};\n\nDropZoneWidget.prototype.enterDrag = function(event) {\n\tif(this.currentlyEntered.indexOf(event.target) === -1) {\n\t\tthis.currentlyEntered.push(event.target);\n\t}\n\t// If we're entering for the first time we need to apply highlighting\n\t$tw.utils.addClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDropZoneWidget.prototype.leaveDrag = function(event) {\n\tvar pos = this.currentlyEntered.indexOf(event.target);\n\tif(pos !== -1) {\n\t\tthis.currentlyEntered.splice(pos,1);\n\t}\n\t// Remove highlighting if we're leaving externally\n\tif(this.currentlyEntered.length === 0) {\n\t\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t}\n};\n\nDropZoneWidget.prototype.handleDragEnterEvent = function(event) {\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\tthis.enterDrag(event);\n\t// Tell the browser that we're ready to handle the drop\n\tevent.preventDefault();\n\t// Tell the browser not to ripple the drag up to any parent drop handlers\n\tevent.stopPropagation();\n};\n\nDropZoneWidget.prototype.handleDragOverEvent = function(event) {\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\t// Tell the browser that we're still interested in the drop\n\tevent.preventDefault();\n\tevent.dataTransfer.dropEffect = \"copy\"; // Explicitly show this is a copy\n};\n\nDropZoneWidget.prototype.handleDragLeaveEvent = function(event) {\n\tthis.leaveDrag(event);\n};\n\nDropZoneWidget.prototype.handleDragEndEvent = function(event) {\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDropZoneWidget.prototype.handleDropEvent = function(event) {\n\tvar self = this,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t};\n\tthis.leaveDrag(event);\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\tvar self = this,\n\t\tdataTransfer = event.dataTransfer;\n\t// Remove highlighting\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t// Import any files in the drop\n\tvar numFiles = 0;\n\tif(dataTransfer.files) {\n\t\tnumFiles = this.wiki.readFiles(dataTransfer.files,{\n\t\t\tcallback: readFileCallback,\n\t\t\tdeserializer: this.dropzoneDeserializer\n\t\t});\n\t}\n\t// Try to import the various data types we understand\n\tif(numFiles === 0) {\n\t\t$tw.utils.importDataTransfer(dataTransfer,this.wiki.generateNewTitle(\"Untitled\"),readFileCallback);\n\t}\n\t// Tell the browser that we handled the drop\n\tevent.preventDefault();\n\t// Stop the drop ripple up to any parent handlers\n\tevent.stopPropagation();\n};\n\nDropZoneWidget.prototype.handlePasteEvent = function(event) {\n\tvar self = this,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t};\n\t// Let the browser handle it if we're in a textarea or input box\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) == -1 && !event.target.isContentEditable) {\n\t\tvar self = this,\n\t\t\titems = event.clipboardData.items;\n\t\t// Enumerate the clipboard items\n\t\tfor(var t = 0; t<items.length; t++) {\n\t\t\tvar item = items[t];\n\t\t\tif(item.kind === \"file\") {\n\t\t\t\t// Import any files\n\t\t\t\tthis.wiki.readFile(item.getAsFile(),{\n\t\t\t\t\tcallback: readFileCallback,\n\t\t\t\t\tdeserializer: this.dropzoneDeserializer\n\t\t\t\t});\n\t\t\t} else if(item.kind === \"string\") {\n\t\t\t\t// Create tiddlers from string items\n\t\t\t\tvar type = item.type;\n\t\t\t\titem.getAsString(function(str) {\n\t\t\t\t\tvar tiddlerFields = {\n\t\t\t\t\t\ttitle: self.wiki.generateNewTitle(\"Untitled\"),\n\t\t\t\t\t\ttext: str,\n\t\t\t\t\t\ttype: type\n\t\t\t\t\t};\n\t\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\t\tconsole.log(\"Importing string '\" + str + \"', type: '\" + type + \"'\");\n\t\t\t\t\t}\n\t\t\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify([tiddlerFields])});\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\t\t// Tell the browser that we've handled the paste\n\t\tevent.stopPropagation();\n\t\tevent.preventDefault();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nDropZoneWidget.prototype.execute = function() {\n\tthis.dropzoneClass = this.getAttribute(\"class\");\n\tthis.dropzoneDeserializer = this.getAttribute(\"deserializer\");\n\tthis.dropzoneEnable = (this.getAttribute(\"enable\") || \"yes\") === \"yes\";\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDropZoneWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.enable) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.dropzone = DropZoneWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-binary.js": {
"title": "$:/core/modules/widgets/edit-binary.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-binary.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-binary widget; placeholder for editing binary tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar BINARY_WARNING_MESSAGE = \"$:/core/ui/BinaryWarning\";\nvar EXPORT_BUTTON_IMAGE = \"$:/core/images/export-button\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditBinaryWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditBinaryWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditBinaryWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditBinaryWidget.prototype.execute = function() {\n\t// Get our parameters\n\tvar editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tvar tiddler = this.wiki.getTiddler(editTitle);\n\tvar type = tiddler.fields.type;\n\tvar text = tiddler.fields.text;\n\t// Transclude the binary data tiddler warning message\n\tvar warn = {\n\t\ttype: \"element\",\n\t\ttag: \"p\",\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: BINARY_WARNING_MESSAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Create download link based on draft tiddler title\n\tvar link = {\n\t\ttype: \"element\",\n\t\ttag: \"a\",\n\t\tattributes: {\n\t\t\ttitle: {type: \"indirect\", textReference: \"!!draft.title\"},\n\t\t\tdownload: {type: \"indirect\", textReference: \"!!draft.title\"}\n\t\t},\n\t\tchildren: [{\n\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: EXPORT_BUTTON_IMAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Set the link href to internal data URI (no external)\n\tif(text) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: \"data:\" + type + \";base64,\" + text\n\t\t};\n\t}\n\t// Combine warning message and download link in a div\n\tvar element = {\n\t\ttype: \"element\",\n\t\ttag: \"div\",\n\t\tattributes: {\n\t\t\tclass: {type: \"string\", value: \"tc-binary-warning\"}\n\t\t},\n\t\tchildren: [warn, link]\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets([element]);\n};\n\n/*\nRefresh by refreshing our child widget\n*/\nEditBinaryWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"edit-binary\"] = EditBinaryWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-bitmap.js": {
"title": "$:/core/modules/widgets/edit-bitmap.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-bitmap.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-bitmap widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Default image sizes\nvar DEFAULT_IMAGE_WIDTH = 600,\n\tDEFAULT_IMAGE_HEIGHT = 370,\n\tDEFAULT_IMAGE_TYPE = \"image/png\";\n\n// Configuration tiddlers\nvar LINE_WIDTH_TITLE = \"$:/config/BitmapEditor/LineWidth\",\n\tLINE_COLOUR_TITLE = \"$:/config/BitmapEditor/Colour\",\n\tLINE_OPACITY_TITLE = \"$:/config/BitmapEditor/Opacity\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditBitmapWidget = function(parseTreeNode,options) {\n\t// Initialise the editor operations if they've not been done already\n\tif(!this.editorOperations) {\n\t\tEditBitmapWidget.prototype.editorOperations = {};\n\t\t$tw.modules.applyMethods(\"bitmapeditoroperation\",this.editorOperations);\n\t}\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditBitmapWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditBitmapWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create the wrapper for the toolbar and render its content\n\tthis.toolbarNode = this.document.createElement(\"div\");\n\tthis.toolbarNode.className = \"tc-editor-toolbar\";\n\tparent.insertBefore(this.toolbarNode,nextSibling);\n\tthis.domNodes.push(this.toolbarNode);\n\t// Create the on-screen canvas\n\tthis.canvasDomNode = $tw.utils.domMaker(\"canvas\",{\n\t\tdocument: this.document,\n\t\t\"class\":\"tc-edit-bitmapeditor\",\n\t\teventListeners: [{\n\t\t\tname: \"touchstart\", handlerObject: this, handlerMethod: \"handleTouchStartEvent\"\n\t\t},{\n\t\t\tname: \"touchmove\", handlerObject: this, handlerMethod: \"handleTouchMoveEvent\"\n\t\t},{\n\t\t\tname: \"touchend\", handlerObject: this, handlerMethod: \"handleTouchEndEvent\"\n\t\t},{\n\t\t\tname: \"mousedown\", handlerObject: this, handlerMethod: \"handleMouseDownEvent\"\n\t\t},{\n\t\t\tname: \"mousemove\", handlerObject: this, handlerMethod: \"handleMouseMoveEvent\"\n\t\t},{\n\t\t\tname: \"mouseup\", handlerObject: this, handlerMethod: \"handleMouseUpEvent\"\n\t\t}]\n\t});\n\t// Set the width and height variables\n\tthis.setVariable(\"tv-bitmap-editor-width\",this.canvasDomNode.width + \"px\");\n\tthis.setVariable(\"tv-bitmap-editor-height\",this.canvasDomNode.height + \"px\");\n\t// Render toolbar child widgets\n\tthis.renderChildren(this.toolbarNode,null);\n\t// // Insert the elements into the DOM\n\tparent.insertBefore(this.canvasDomNode,nextSibling);\n\tthis.domNodes.push(this.canvasDomNode);\n\t// Load the image into the canvas\n\tif($tw.browser) {\n\t\tthis.loadCanvas();\n\t}\n\t// Add widget message listeners\n\tthis.addEventListeners([\n\t\t{type: \"tm-edit-bitmap-operation\", handler: \"handleEditBitmapOperationMessage\"}\n\t]);\n};\n\n/*\nHandle an edit bitmap operation message from the toolbar\n*/\nEditBitmapWidget.prototype.handleEditBitmapOperationMessage = function(event) {\n\t// Invoke the handler\n\tvar handler = this.editorOperations[event.param];\n\tif(handler) {\n\t\thandler.call(this,event);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditBitmapWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nJust refresh the toolbar\n*/\nEditBitmapWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nSet the bitmap size variables and refresh the toolbar\n*/\nEditBitmapWidget.prototype.refreshToolbar = function() {\n\t// Set the width and height variables\n\tthis.setVariable(\"tv-bitmap-editor-width\",this.canvasDomNode.width + \"px\");\n\tthis.setVariable(\"tv-bitmap-editor-height\",this.canvasDomNode.height + \"px\");\n\t// Refresh each of our child widgets\n\t$tw.utils.each(this.children,function(childWidget) {\n\t\tchildWidget.refreshSelf();\n\t});\n};\n\nEditBitmapWidget.prototype.loadCanvas = function() {\n\tvar tiddler = this.wiki.getTiddler(this.editTitle),\n\t\tcurrImage = new Image();\n\t// Set up event handlers for loading the image\n\tvar self = this;\n\tcurrImage.onload = function() {\n\t\t// Copy the image to the on-screen canvas\n\t\tself.initCanvas(self.canvasDomNode,currImage.width,currImage.height,currImage);\n\t\t// And also copy the current bitmap to the off-screen canvas\n\t\tself.currCanvas = self.document.createElement(\"canvas\");\n\t\tself.initCanvas(self.currCanvas,currImage.width,currImage.height,currImage);\n\t\t// Set the width and height input boxes\n\t\tself.refreshToolbar();\n\t};\n\tcurrImage.onerror = function() {\n\t\t// Set the on-screen canvas size and clear it\n\t\tself.initCanvas(self.canvasDomNode,DEFAULT_IMAGE_WIDTH,DEFAULT_IMAGE_HEIGHT);\n\t\t// Set the off-screen canvas size and clear it\n\t\tself.currCanvas = self.document.createElement(\"canvas\");\n\t\tself.initCanvas(self.currCanvas,DEFAULT_IMAGE_WIDTH,DEFAULT_IMAGE_HEIGHT);\n\t\t// Set the width and height input boxes\n\t\tself.refreshToolbar();\n\t};\n\t// Get the current bitmap into an image object\n\tif(tiddler && tiddler.fields.type && tiddler.fields.text) {\n\t\tcurrImage.src = \"data:\" + tiddler.fields.type + \";base64,\" + tiddler.fields.text;\t\t\n\t} else {\n\t\tcurrImage.width = DEFAULT_IMAGE_WIDTH;\n\t\tcurrImage.height = DEFAULT_IMAGE_HEIGHT;\n\t\tcurrImage.onerror();\n\t}\n};\n\nEditBitmapWidget.prototype.initCanvas = function(canvas,width,height,image) {\n\tcanvas.width = width;\n\tcanvas.height = height;\n\tvar ctx = canvas.getContext(\"2d\");\n\tif(image) {\n\t\tctx.drawImage(image,0,0);\n\t} else {\n\t\tctx.fillStyle = \"#fff\";\n\t\tctx.fillRect(0,0,canvas.width,canvas.height);\n\t}\n};\n\n/*\n** Change the size of the canvas, preserving the current image\n*/\nEditBitmapWidget.prototype.changeCanvasSize = function(newWidth,newHeight) {\n\t// Create and size a new canvas\n\tvar newCanvas = this.document.createElement(\"canvas\");\n\tthis.initCanvas(newCanvas,newWidth,newHeight);\n\t// Copy the old image\n\tvar ctx = newCanvas.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n\t// Set the new canvas as the current one\n\tthis.currCanvas = newCanvas;\n\t// Set the size of the onscreen canvas\n\tthis.canvasDomNode.width = newWidth;\n\tthis.canvasDomNode.height = newHeight;\n\t// Paint the onscreen canvas with the offscreen canvas\n\tctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n};\n\n/*\n** Rotate the canvas left by 90 degrees\n*/\nEditBitmapWidget.prototype.rotateCanvasLeft = function() {\n\t// Get the current size of the image\n\tvar origWidth = this.currCanvas.width,\n\t\torigHeight = this.currCanvas.height;\n\t// Create and size a new canvas\n\tvar newCanvas = this.document.createElement(\"canvas\"),\n\t\tnewWidth = origHeight,\n\t\tnewHeight = origWidth;\n\tthis.initCanvas(newCanvas,newWidth,newHeight);\n\t// Copy the old image\n\tvar ctx = newCanvas.getContext(\"2d\");\n\tctx.save();\n\tctx.translate(newWidth / 2,newHeight / 2);\n\tctx.rotate(-Math.PI / 2);\n\tctx.drawImage(this.currCanvas,-origWidth / 2,-origHeight / 2);\n\tctx.restore();\n\t// Set the new canvas as the current one\n\tthis.currCanvas = newCanvas;\n\t// Set the size of the onscreen canvas\n\tthis.canvasDomNode.width = newWidth;\n\tthis.canvasDomNode.height = newHeight;\n\t// Paint the onscreen canvas with the offscreen canvas\n\tctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n};\n\nEditBitmapWidget.prototype.handleTouchStartEvent = function(event) {\n\tthis.brushDown = true;\n\tthis.strokeStart(event.touches[0].clientX,event.touches[0].clientY);\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleTouchMoveEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.strokeMove(event.touches[0].clientX,event.touches[0].clientY);\n\t}\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleTouchEndEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.brushDown = false;\n\t\tthis.strokeEnd();\n\t}\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleMouseDownEvent = function(event) {\n\tthis.strokeStart(event.clientX,event.clientY);\n\tthis.brushDown = true;\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleMouseMoveEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.strokeMove(event.clientX,event.clientY);\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn false;\n\t}\n\treturn true;\n};\n\nEditBitmapWidget.prototype.handleMouseUpEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.brushDown = false;\n\t\tthis.strokeEnd();\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn false;\n\t}\n\treturn true;\n};\n\nEditBitmapWidget.prototype.adjustCoordinates = function(x,y) {\n\tvar canvasRect = this.canvasDomNode.getBoundingClientRect(),\n\t\tscale = this.canvasDomNode.width/canvasRect.width;\n\treturn {x: (x - canvasRect.left) * scale, y: (y - canvasRect.top) * scale};\n};\n\nEditBitmapWidget.prototype.strokeStart = function(x,y) {\n\t// Start off a new stroke\n\tthis.stroke = [this.adjustCoordinates(x,y)];\n};\n\nEditBitmapWidget.prototype.strokeMove = function(x,y) {\n\tvar ctx = this.canvasDomNode.getContext(\"2d\"),\n\t\tt;\n\t// Add the new position to the end of the stroke\n\tthis.stroke.push(this.adjustCoordinates(x,y));\n\t// Redraw the previous image\n\tctx.drawImage(this.currCanvas,0,0);\n\t// Render the stroke\n\tctx.globalAlpha = parseFloat(this.wiki.getTiddlerText(LINE_OPACITY_TITLE,\"1.0\"));\n\tctx.strokeStyle = this.wiki.getTiddlerText(LINE_COLOUR_TITLE,\"#ff0\");\n\tctx.lineWidth = parseFloat(this.wiki.getTiddlerText(LINE_WIDTH_TITLE,\"3\"));\n\tctx.lineCap = \"round\";\n\tctx.lineJoin = \"round\";\n\tctx.beginPath();\n\tctx.moveTo(this.stroke[0].x,this.stroke[0].y);\n\tfor(t=1; t<this.stroke.length-1; t++) {\n\t\tvar s1 = this.stroke[t],\n\t\t\ts2 = this.stroke[t-1],\n\t\t\ttx = (s1.x + s2.x)/2,\n\t\t\tty = (s1.y + s2.y)/2;\n\t\tctx.quadraticCurveTo(s2.x,s2.y,tx,ty);\n\t}\n\tctx.stroke();\n};\n\nEditBitmapWidget.prototype.strokeEnd = function() {\n\t// Copy the bitmap to the off-screen canvas\n\tvar ctx = this.currCanvas.getContext(\"2d\");\n\tctx.drawImage(this.canvasDomNode,0,0);\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\nEditBitmapWidget.prototype.saveChanges = function() {\n\tvar tiddler = this.wiki.getTiddler(this.editTitle) || new $tw.Tiddler({title: this.editTitle,type: DEFAULT_IMAGE_TYPE});\n\t// data URIs look like \"data:<type>;base64,<text>\"\n\tvar dataURL = this.canvasDomNode.toDataURL(tiddler.fields.type),\n\t\tposColon = dataURL.indexOf(\":\"),\n\t\tposSemiColon = dataURL.indexOf(\";\"),\n\t\tposComma = dataURL.indexOf(\",\"),\n\t\ttype = dataURL.substring(posColon+1,posSemiColon),\n\t\ttext = dataURL.substring(posComma+1);\n\tvar update = {type: type, text: text};\n\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getModificationFields(),tiddler,update,this.wiki.getCreationFields()));\n};\n\nexports[\"edit-bitmap\"] = EditBitmapWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-shortcut.js": {
"title": "$:/core/modules/widgets/edit-shortcut.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-shortcut.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to display an editable keyboard shortcut\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditShortcutWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditShortcutWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditShortcutWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.inputNode = this.document.createElement(\"input\");\n\t// Assign classes\n\tif(this.shortcutClass) {\n\t\tthis.inputNode.className = this.shortcutClass;\t\t\n\t}\n\t// Assign other attributes\n\tif(this.shortcutStyle) {\n\t\tthis.inputNode.setAttribute(\"style\",this.shortcutStyle);\n\t}\n\tif(this.shortcutTooltip) {\n\t\tthis.inputNode.setAttribute(\"title\",this.shortcutTooltip);\n\t}\n\tif(this.shortcutPlaceholder) {\n\t\tthis.inputNode.setAttribute(\"placeholder\",this.shortcutPlaceholder);\n\t}\n\tif(this.shortcutAriaLabel) {\n\t\tthis.inputNode.setAttribute(\"aria-label\",this.shortcutAriaLabel);\n\t}\n\t// Assign the current shortcut\n\tthis.updateInputNode();\n\t// Add event handlers\n\t$tw.utils.addEventListeners(this.inputNode,[\n\t\t{name: \"keydown\", handlerObject: this, handlerMethod: \"handleKeydownEvent\"}\n\t]);\n\t// Link into the DOM\n\tparent.insertBefore(this.inputNode,nextSibling);\n\tthis.domNodes.push(this.inputNode);\n\t// Focus the input Node if focus === \"yes\" or focus === \"true\"\n\tif(this.shortcutFocus === \"yes\" || this.shortcutFocus === \"true\") {\n\t\tthis.focus();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditShortcutWidget.prototype.execute = function() {\n\tthis.shortcutTiddler = this.getAttribute(\"tiddler\");\n\tthis.shortcutField = this.getAttribute(\"field\");\n\tthis.shortcutIndex = this.getAttribute(\"index\");\n\tthis.shortcutPlaceholder = this.getAttribute(\"placeholder\");\n\tthis.shortcutDefault = this.getAttribute(\"default\",\"\");\n\tthis.shortcutClass = this.getAttribute(\"class\");\n\tthis.shortcutStyle = this.getAttribute(\"style\");\n\tthis.shortcutTooltip = this.getAttribute(\"tooltip\");\n\tthis.shortcutAriaLabel = this.getAttribute(\"aria-label\");\n\tthis.shortcutFocus = this.getAttribute(\"focus\");\n};\n\n/*\nUpdate the value of the input node\n*/\nEditShortcutWidget.prototype.updateInputNode = function() {\n\tif(this.shortcutField) {\n\t\tvar tiddler = this.wiki.getTiddler(this.shortcutTiddler);\n\t\tif(tiddler && $tw.utils.hop(tiddler.fields,this.shortcutField)) {\n\t\t\tthis.inputNode.value = tiddler.getFieldString(this.shortcutField);\n\t\t} else {\n\t\t\tthis.inputNode.value = this.shortcutDefault;\n\t\t}\n\t} else if(this.shortcutIndex) {\n\t\tthis.inputNode.value = this.wiki.extractTiddlerDataItem(this.shortcutTiddler,this.shortcutIndex,this.shortcutDefault);\n\t} else {\n\t\tthis.inputNode.value = this.wiki.getTiddlerText(this.shortcutTiddler,this.shortcutDefault);\n\t}\n};\n\n/*\nHandle a dom \"keydown\" event\n*/\nEditShortcutWidget.prototype.handleKeydownEvent = function(event) {\n\t// Ignore shift, ctrl, meta, alt\n\tif(event.keyCode && $tw.keyboardManager.getModifierKeys().indexOf(event.keyCode) === -1) {\n\t\t// Get the shortcut text representation\n\t\tvar value = $tw.keyboardManager.getPrintableShortcuts([{\n\t\t\tctrlKey: event.ctrlKey,\n\t\t\tshiftKey: event.shiftKey,\n\t\t\taltKey: event.altKey,\n\t\t\tmetaKey: event.metaKey,\n\t\t\tkeyCode: event.keyCode\n\t\t}]);\n\t\tif(value.length > 0) {\n\t\t\tthis.wiki.setText(this.shortcutTiddler,this.shortcutField,this.shortcutIndex,value[0]);\n\t\t}\n\t\t// Ignore the keydown if it was already handled\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn true;\t\t\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nfocus the input node\n*/\nEditShortcutWidget.prototype.focus = function() {\n\tif(this.inputNode.focus && this.inputNode.select) {\n\t\tthis.inputNode.focus();\n\t\tthis.inputNode.select();\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget needed re-rendering\n*/\nEditShortcutWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.placeholder || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.style || changedAttributes.tooltip || changedAttributes[\"aria-label\"] || changedAttributes.focus) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(changedTiddlers[this.shortcutTiddler]) {\n\t\tthis.updateInputNode();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports[\"edit-shortcut\"] = EditShortcutWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-text.js": {
"title": "$:/core/modules/widgets/edit-text.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-text.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-text widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar editTextWidgetFactory = require(\"$:/core/modules/editor/factory.js\").editTextWidgetFactory,\n\tFramedEngine = require(\"$:/core/modules/editor/engines/framed.js\").FramedEngine,\n\tSimpleEngine = require(\"$:/core/modules/editor/engines/simple.js\").SimpleEngine;\n\nexports[\"edit-text\"] = editTextWidgetFactory(FramedEngine,SimpleEngine);\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit.js": {
"title": "$:/core/modules/widgets/edit.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit.js\ntype: application/javascript\nmodule-type: widget\n\nEdit widget is a meta-widget chooses the appropriate actual editting widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n// Mappings from content type to editor type are stored in tiddlers with this prefix\nvar EDITOR_MAPPING_PREFIX = \"$:/config/EditorTypeMappings/\";\n\n/*\nCompute the internal state of the widget\n*/\nEditWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.editField = this.getAttribute(\"field\",\"text\");\n\tthis.editIndex = this.getAttribute(\"index\");\n\tthis.editClass = this.getAttribute(\"class\");\n\tthis.editPlaceholder = this.getAttribute(\"placeholder\");\n\tthis.editTabIndex = this.getAttribute(\"tabindex\");\n\tthis.editFocus = this.getAttribute(\"focus\",\"\");\n\t// Choose the appropriate edit widget\n\tthis.editorType = this.getEditorType();\n\t// Make the child widgets\n\tthis.makeChildWidgets([{\n\t\ttype: \"edit-\" + this.editorType,\n\t\tattributes: {\n\t\t\ttiddler: {type: \"string\", value: this.editTitle},\n\t\t\tfield: {type: \"string\", value: this.editField},\n\t\t\tindex: {type: \"string\", value: this.editIndex},\n\t\t\t\"class\": {type: \"string\", value: this.editClass},\n\t\t\t\"placeholder\": {type: \"string\", value: this.editPlaceholder},\n\t\t\t\"tabindex\": {type: \"string\", value: this.editTabIndex},\n\t\t\t\"focus\": {type: \"string\", value: this.editFocus}\n\t\t},\n\t\tchildren: this.parseTreeNode.children\n\t}]);\n};\n\nEditWidget.prototype.getEditorType = function() {\n\t// Get the content type of the thing we're editing\n\tvar type;\n\tif(this.editField === \"text\") {\n\t\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\t\tif(tiddler) {\n\t\t\ttype = tiddler.fields.type;\n\t\t}\n\t}\n\ttype = type || \"text/vnd.tiddlywiki\";\n\tvar editorType = this.wiki.getTiddlerText(EDITOR_MAPPING_PREFIX + type);\n\tif(!editorType) {\n\t\tvar typeInfo = $tw.config.contentTypeInfo[type];\n\t\tif(typeInfo && typeInfo.encoding === \"base64\") {\n\t\t\teditorType = \"binary\";\n\t\t} else {\n\t\t\teditorType = \"text\";\n\t\t}\n\t}\n\treturn editorType;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEditWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// Refresh if an attribute has changed, or the type associated with the target tiddler has changed\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.tabindex || (changedTiddlers[this.editTitle] && this.getEditorType() !== this.editorType)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.edit = EditWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/element.js": {
"title": "$:/core/modules/widgets/element.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/element.js\ntype: application/javascript\nmodule-type: widget\n\nElement widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ElementWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nElementWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nElementWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Neuter blacklisted elements\n\tvar tag = this.parseTreeNode.tag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"safe-\" + tag;\n\t}\n\t// Adjust headings by the current base level\n\tvar headingLevel = [\"h1\",\"h2\",\"h3\",\"h4\",\"h5\",\"h6\"].indexOf(tag);\n\tif(headingLevel !== -1) {\n\t\tvar baseLevel = parseInt(this.getVariable(\"tv-adjust-heading-level\",\"0\"),10) || 0;\n\t\theadingLevel = Math.min(Math.max(headingLevel + 1 + baseLevel,1),6);\n\t\ttag = \"h\" + headingLevel;\n\t}\n\t// Create the DOM node\n\tvar domNode = this.document.createElementNS(this.namespace,tag);\n\tthis.assignAttributes(domNode,{excludeEventAttributes: true});\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nElementWidget.prototype.execute = function() {\n\t// Select the namespace for the tag\n\tvar tagNamespaces = {\n\t\t\tsvg: \"http://www.w3.org/2000/svg\",\n\t\t\tmath: \"http://www.w3.org/1998/Math/MathML\",\n\t\t\tbody: \"http://www.w3.org/1999/xhtml\"\n\t\t};\n\tthis.namespace = tagNamespaces[this.parseTreeNode.tag];\n\tif(this.namespace) {\n\t\tthis.setVariable(\"namespace\",this.namespace);\n\t} else {\n\t\tthis.namespace = this.getVariable(\"namespace\",{defaultValue: \"http://www.w3.org/1999/xhtml\"});\n\t}\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nElementWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\thasChangedAttributes = $tw.utils.count(changedAttributes) > 0;\n\tif(hasChangedAttributes) {\n\t\t// Update our attributes\n\t\tthis.assignAttributes(this.domNodes[0],{excludeEventAttributes: true});\n\t}\n\treturn this.refreshChildren(changedTiddlers) || hasChangedAttributes;\n};\n\nexports.element = ElementWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/encrypt.js": {
"title": "$:/core/modules/widgets/encrypt.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/encrypt.js\ntype: application/javascript\nmodule-type: widget\n\nEncrypt widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EncryptWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEncryptWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEncryptWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.encryptedText);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEncryptWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.filter = this.getAttribute(\"filter\",\"[!is[system]]\");\n\t// Encrypt the filtered tiddlers\n\tvar tiddlers = this.wiki.filterTiddlers(this.filter),\n\t\tjson = {},\n\t\tself = this;\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title),\n\t\t\tjsonTiddler = {};\n\t\tfor(var f in tiddler.fields) {\n\t\t\tjsonTiddler[f] = tiddler.getFieldString(f);\n\t\t}\n\t\tjson[title] = jsonTiddler;\n\t});\n\tthis.encryptedText = $tw.utils.htmlEncode($tw.crypto.encrypt(JSON.stringify(json)));\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEncryptWidget.prototype.refresh = function(changedTiddlers) {\n\t// We don't need to worry about refreshing because the encrypt widget isn't for interactive use\n\treturn false;\n};\n\nexports.encrypt = EncryptWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/entity.js": {
"title": "$:/core/modules/widgets/entity.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/entity.js\ntype: application/javascript\nmodule-type: widget\n\nHTML entity widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EntityWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEntityWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEntityWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tvar entityString = this.getAttribute(\"entity\",this.parseTreeNode.entity || \"\"),\n\t\ttextNode = this.document.createTextNode($tw.utils.entityDecode(entityString));\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEntityWidget.prototype.execute = function() {\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEntityWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.entity) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.entity = EntityWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/fieldmangler.js": {
"title": "$:/core/modules/widgets/fieldmangler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/fieldmangler.js\ntype: application/javascript\nmodule-type: widget\n\nField mangler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FieldManglerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-remove-field\", handler: \"handleRemoveFieldEvent\"},\n\t\t{type: \"tm-add-field\", handler: \"handleAddFieldEvent\"},\n\t\t{type: \"tm-remove-tag\", handler: \"handleRemoveTagEvent\"},\n\t\t{type: \"tm-add-tag\", handler: \"handleAddTagEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nFieldManglerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nFieldManglerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nFieldManglerWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.mangleTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nFieldManglerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nFieldManglerWidget.prototype.handleRemoveFieldEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tdeletion = {};\n\tdeletion[event.param] = undefined;\n\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,deletion));\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleAddFieldEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\taddition = this.wiki.getModificationFields(),\n\t\thadInvalidFieldName = false,\n\t\taddField = function(name,value) {\n\t\t\tvar trimmedName = name.toLowerCase().trim();\n\t\t\tif(!$tw.utils.isValidFieldName(trimmedName)) {\n\t\t\t\tif(!hadInvalidFieldName) {\n\t\t\t\t\talert($tw.language.getString(\n\t\t\t\t\t\t\"InvalidFieldName\",\n\t\t\t\t\t\t{variables:\n\t\t\t\t\t\t\t{fieldName: trimmedName}\n\t\t\t\t\t\t}\n\t\t\t\t\t));\n\t\t\t\t\thadInvalidFieldName = true;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif(!value && tiddler) {\n\t\t\t\t\tvalue = tiddler.fields[trimmedName];\n\t\t\t\t}\n\t\t\t\taddition[trimmedName] = value || \"\";\n\t\t\t}\n\t\t\treturn;\n\t\t};\n\taddition.title = this.mangleTitle;\n\tif(typeof event.param === \"string\") {\n\t\taddField(event.param,\"\");\n\t}\n\tif(typeof event.paramObject === \"object\") {\n\t\tfor(var name in event.paramObject) {\n\t\t\taddField(name,event.paramObject[name]);\n\t\t}\n\t}\n\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,addition));\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleRemoveTagEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tmodification = this.wiki.getModificationFields();\n\tif(tiddler && tiddler.fields.tags) {\n\t\tvar p = tiddler.fields.tags.indexOf(event.param);\n\t\tif(p !== -1) {\n\t\t\tmodification.tags = (tiddler.fields.tags || []).slice(0);\n\t\t\tmodification.tags.splice(p,1);\n\t\t\tif(modification.tags.length === 0) {\n\t\t\t\tmodification.tags = undefined;\n\t\t\t}\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,modification));\n\t\t}\n\t}\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleAddTagEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tmodification = this.wiki.getModificationFields();\n\tif(tiddler && typeof event.param === \"string\") {\n\t\tvar tag = event.param.trim();\n\t\tif(tag !== \"\") {\n\t\t\tmodification.tags = (tiddler.fields.tags || []).slice(0);\n\t\t\t$tw.utils.pushTop(modification.tags,tag);\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,modification));\t\t\t\n\t\t}\n\t} else if(typeof event.param === \"string\" && event.param.trim() !== \"\" && this.mangleTitle.trim() !== \"\") {\n\t\tvar tag = [];\n\t\ttag.push(event.param.trim());\n\t\tthis.wiki.addTiddler(new $tw.Tiddler({title: this.mangleTitle, tags: tag},modification));\n\t}\n\treturn true;\n};\n\nexports.fieldmangler = FieldManglerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/fields.js": {
"title": "$:/core/modules/widgets/fields.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/fields.js\ntype: application/javascript\nmodule-type: widget\n\nFields widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FieldsWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nFieldsWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nFieldsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.text);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nFieldsWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.template = this.getAttribute(\"template\");\n\tthis.sort = this.getAttribute(\"sort\",\"yes\") === \"yes\";\n\tthis.sortReverse = this.getAttribute(\"sortReverse\",\"no\") === \"yes\";\n\tthis.exclude = this.getAttribute(\"exclude\");\n\tthis.include = this.getAttribute(\"include\",null);\n\tthis.stripTitlePrefix = this.getAttribute(\"stripTitlePrefix\",\"no\") === \"yes\";\n\t// Get the value to display\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle);\n\n\t// Get the inclusion and exclusion list\n\tvar excludeArr = (this.exclude) ? this.exclude.split(\" \") : [\"text\"];\n\t// Include takes precedence\n\tvar includeArr = (this.include) ? this.include.split(\" \") : null;\n\n\t// Compose the template\n\tvar text = [];\n\tif(this.template && tiddler) {\n\t\tvar fields = [];\n\t\tif (includeArr) { // Include takes precedence\n\t\t\tfor(var i=0; i<includeArr.length; i++) {\n\t\t\t\tif(tiddler.fields[includeArr[i]]) {\n\t\t\t\t\tfields.push(includeArr[i]);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tfor(var fieldName in tiddler.fields) {\n\t\t\t\tif(excludeArr.indexOf(fieldName) === -1) {\n\t\t\t\t\tfields.push(fieldName);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif (this.sort) fields.sort();\n\t\tif (this.sortReverse) fields.reverse();\n\t\tfor(var f=0, fmax=fields.length; f<fmax; f++) {\n\t\t\tfieldName = fields[f];\n\t\t\tvar row = this.template,\n\t\t\t\tvalue = tiddler.getFieldString(fieldName);\n\t\t\tif(this.stripTitlePrefix && fieldName === \"title\") {\n\t\t\t\tvar reStrip = /^\\{[^\\}]+\\}(.+)/mg,\n\t\t\t\t\treMatch = reStrip.exec(value);\n\t\t\t\tif(reMatch) {\n\t\t\t\t\tvalue = reMatch[1];\n\t\t\t\t}\n\t\t\t}\n\t\t\trow = $tw.utils.replaceString(row,\"$name$\",fieldName);\n\t\t\trow = $tw.utils.replaceString(row,\"$value$\",value);\n\t\t\trow = $tw.utils.replaceString(row,\"$encoded_value$\",$tw.utils.htmlEncode(value));\n\t\t\ttext.push(row);\n\t\t}\n\t}\n\tthis.text = text.join(\"\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nFieldsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif( changedAttributes.tiddler || changedAttributes.template || changedAttributes.exclude ||\n\t\tchangedAttributes.include || changedAttributes.sort || changedAttributes.sortReverse ||\n\t\tchangedTiddlers[this.tiddlerTitle] || changedAttributes.stripTitlePrefix) {\n\t\t\tthis.refreshSelf();\n\t\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\nexports.fields = FieldsWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/image.js": {
"title": "$:/core/modules/widgets/image.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/image.js\ntype: application/javascript\nmodule-type: widget\n\nThe image widget displays an image referenced with an external URI or with a local tiddler title.\n\n```\n<$image src=\"TiddlerTitle\" width=\"320\" height=\"400\" class=\"classnames\">\n```\n\nThe image source can be the title of an existing tiddler or the URL of an external image.\n\nExternal images always generate an HTML `<img>` tag.\n\nTiddlers that have a _canonical_uri field generate an HTML `<img>` tag with the src attribute containing the URI.\n\nTiddlers that contain image data generate an HTML `<img>` tag with the src attribute containing a base64 representation of the image.\n\nTiddlers that contain wikitext could be rendered to a DIV of the usual size of a tiddler, and then transformed to the size requested.\n\nThe width and height attributes are interpreted as a number of pixels, and do not need to include the \"px\" suffix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ImageWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nImageWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nImageWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\t// Determine what type of image it is\n\tvar tag = \"img\", src = \"\",\n\t\ttiddler = this.wiki.getTiddler(this.imageSource);\n\tif(!tiddler) {\n\t\t// The source isn't the title of a tiddler, so we'll assume it's a URL\n\t\tsrc = this.getVariable(\"tv-get-export-image-link\",{params: [{name: \"src\",value: this.imageSource}],defaultValue: this.imageSource});\n\t} else {\n\t\t// Check if it is an image tiddler\n\t\tif(this.wiki.isImageTiddler(this.imageSource)) {\n\t\t\tvar type = tiddler.fields.type,\n\t\t\t\ttext = tiddler.fields.text,\n\t\t\t\t_canonical_uri = tiddler.fields._canonical_uri;\n\t\t\t// If the tiddler has body text then it doesn't need to be lazily loaded\n\t\t\tif(text) {\n\t\t\t\t// Render the appropriate element for the image type\n\t\t\t\tswitch(type) {\n\t\t\t\t\tcase \"application/pdf\":\n\t\t\t\t\t\ttag = \"embed\";\n\t\t\t\t\t\tsrc = \"data:application/pdf;base64,\" + text;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"image/svg+xml\":\n\t\t\t\t\t\tsrc = \"data:image/svg+xml,\" + encodeURIComponent(text);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tsrc = \"data:\" + type + \";base64,\" + text;\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t} else if(_canonical_uri) {\n\t\t\t\tswitch(type) {\n\t\t\t\t\tcase \"application/pdf\":\n\t\t\t\t\t\ttag = \"embed\";\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"image/svg+xml\":\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\t\n\t\t\t} else {\n\t\t\t\t// Just trigger loading of the tiddler\n\t\t\t\tthis.wiki.getTiddlerText(this.imageSource);\n\t\t\t}\n\t\t}\n\t}\n\t// Create the element and assign the attributes\n\tvar domNode = this.document.createElement(tag);\n\tdomNode.setAttribute(\"src\",src);\n\tif(this.imageClass) {\n\t\tdomNode.setAttribute(\"class\",this.imageClass);\t\t\n\t}\n\tif(this.imageWidth) {\n\t\tdomNode.setAttribute(\"width\",this.imageWidth);\n\t}\n\tif(this.imageHeight) {\n\t\tdomNode.setAttribute(\"height\",this.imageHeight);\n\t}\n\tif(this.imageTooltip) {\n\t\tdomNode.setAttribute(\"title\",this.imageTooltip);\t\t\n\t}\n\tif(this.imageAlt) {\n\t\tdomNode.setAttribute(\"alt\",this.imageAlt);\t\t\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nImageWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.imageSource = this.getAttribute(\"source\");\n\tthis.imageWidth = this.getAttribute(\"width\");\n\tthis.imageHeight = this.getAttribute(\"height\");\n\tthis.imageClass = this.getAttribute(\"class\");\n\tthis.imageTooltip = this.getAttribute(\"tooltip\");\n\tthis.imageAlt = this.getAttribute(\"alt\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nImageWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.source || changedAttributes.width || changedAttributes.height || changedAttributes[\"class\"] || changedAttributes.tooltip || changedTiddlers[this.imageSource]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\t\n\t}\n};\n\nexports.image = ImageWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/importvariables.js": {
"title": "$:/core/modules/widgets/importvariables.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/importvariables.js\ntype: application/javascript\nmodule-type: widget\n\nImport variable definitions from other tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ImportVariablesWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nImportVariablesWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nImportVariablesWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nImportVariablesWidget.prototype.execute = function(tiddlerList) {\n\tvar widgetPointer = this;\n\t// Get our parameters\n\tthis.filter = this.getAttribute(\"filter\");\n\t// Compute the filter\n\tthis.tiddlerList = tiddlerList || this.wiki.filterTiddlers(this.filter,this);\n\t// Accumulate the <$set> widgets from each tiddler\n\t$tw.utils.each(this.tiddlerList,function(title) {\n\t\tvar parser = widgetPointer.wiki.parseTiddler(title);\n\t\tif(parser) {\n\t\t\tvar parseTreeNode = parser.tree[0];\n\t\t\twhile(parseTreeNode && parseTreeNode.type === \"set\") {\n\t\t\t\tvar node = {\n\t\t\t\t\ttype: \"set\",\n\t\t\t\t\tattributes: parseTreeNode.attributes,\n\t\t\t\t\tparams: parseTreeNode.params,\n\t\t\t\t\tisMacroDefinition: parseTreeNode.isMacroDefinition\n\t\t\t\t};\n\t\t\t\tif (parseTreeNode.isMacroDefinition) {\n\t\t\t\t\t// Macro definitions can be folded into\n\t\t\t\t\t// current widget instead of adding\n\t\t\t\t\t// another link to the chain.\n\t\t\t\t\tvar widget = widgetPointer.makeChildWidget(node);\n\t\t\t\t\twidget.computeAttributes();\n\t\t\t\t\twidget.execute();\n\t\t\t\t\t// We SHALLOW copy over all variables\n\t\t\t\t\t// in widget. We can't use\n\t\t\t\t\t// $tw.utils.assign, because that copies\n\t\t\t\t\t// up the prototype chain, which we\n\t\t\t\t\t// don't want.\n\t\t\t\t\t$tw.utils.each(Object.keys(widget.variables), function(key) {\n\t\t\t\t\t\twidgetPointer.variables[key] = widget.variables[key];\n\t\t\t\t\t});\n\t\t\t\t} else {\n\t\t\t\t\twidgetPointer.makeChildWidgets([node]);\n\t\t\t\t\twidgetPointer = widgetPointer.children[0];\n\t\t\t\t}\n\t\t\t\tparseTreeNode = parseTreeNode.children && parseTreeNode.children[0];\n\t\t\t}\n\t\t} \n\t});\n\n\tif (widgetPointer != this) {\n\t\twidgetPointer.parseTreeNode.children = this.parseTreeNode.children;\n\t} else {\n\t\twidgetPointer.makeChildWidgets();\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nImportVariablesWidget.prototype.refresh = function(changedTiddlers) {\n\t// Recompute our attributes and the filter list\n\tvar changedAttributes = this.computeAttributes(),\n\t\ttiddlerList = this.wiki.filterTiddlers(this.getAttribute(\"filter\"),this);\n\t// Refresh if the filter has changed, or the list of tiddlers has changed, or any of the tiddlers in the list has changed\n\tfunction haveListedTiddlersChanged() {\n\t\tvar changed = false;\n\t\ttiddlerList.forEach(function(title) {\n\t\t\tif(changedTiddlers[title]) {\n\t\t\t\tchanged = true;\n\t\t\t}\n\t\t});\n\t\treturn changed;\n\t}\n\tif(changedAttributes.filter || !$tw.utils.isArrayEqual(this.tiddlerList,tiddlerList) || haveListedTiddlersChanged()) {\n\t\t// Compute the filter\n\t\tthis.removeChildDomNodes();\n\t\tthis.execute(tiddlerList);\n\t\tthis.renderChildren(this.parentDomNode,this.findNextSiblingDomNode());\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.importvariables = ImportVariablesWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/keyboard.js": {
"title": "$:/core/modules/widgets/keyboard.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/keyboard.js\ntype: application/javascript\nmodule-type: widget\n\nKeyboard shortcut widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar KeyboardWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nKeyboardWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nKeyboardWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.tag && $tw.config.htmlUnsafeElements.indexOf(this.tag) === -1) {\n\t\ttag = this.tag;\n\t}\n\t// Create element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = (this[\"class\"] || \"\").split(\" \");\n\tclasses.push(\"tc-keyboard\");\n\tdomNode.className = classes.join(\" \");\n\t// Add a keyboard event handler\n\tdomNode.addEventListener(\"keydown\",function (event) {\n\t\tif($tw.keyboardManager.checkKeyDescriptors(event,self.keyInfoArray)) {\n\t\t\tself.invokeActions(self,event);\n\t\t\tif(self.actions) {\n\t\t\t\tself.invokeActionString(self.actions,self,event);\n\t\t\t}\n\t\t\tself.dispatchMessage(event);\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nKeyboardWidget.prototype.dispatchMessage = function(event) {\n\tthis.dispatchEvent({type: this.message, param: this.param, tiddlerTitle: this.getVariable(\"currentTiddler\")});\n};\n\n/*\nCompute the internal state of the widget\n*/\nKeyboardWidget.prototype.execute = function() {\n\tvar self = this;\n\t// Get attributes\n\tthis.actions = this.getAttribute(\"actions\",\"\");\n\tthis.message = this.getAttribute(\"message\",\"\");\n\tthis.param = this.getAttribute(\"param\",\"\");\n\tthis.key = this.getAttribute(\"key\",\"\");\n\tthis.tag = this.getAttribute(\"tag\",\"\");\n\tthis.keyInfoArray = $tw.keyboardManager.parseKeyDescriptors(this.key);\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tif(this.key.substr(0,2) === \"((\" && this.key.substr(-2,2) === \"))\") {\n\t\tthis.shortcutTiddlers = [];\n\t\tvar name = this.key.substring(2,this.key.length -2);\n\t\t$tw.utils.each($tw.keyboardManager.lookupNames,function(platformDescriptor) {\n\t\t\tself.shortcutTiddlers.push(\"$:/config/\" + platformDescriptor + \"/\" + name);\n\t\t});\n\t}\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nKeyboardWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.message || changedAttributes.param || changedAttributes.key || changedAttributes[\"class\"] || changedAttributes.tag) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\t// Update the keyInfoArray if one of its shortcut-config-tiddlers has changed\n\tif(this.shortcutTiddlers && $tw.utils.hopArray(changedTiddlers,this.shortcutTiddlers)) {\n\t\tthis.keyInfoArray = $tw.keyboardManager.parseKeyDescriptors(this.key);\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.keyboard = KeyboardWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/link.js": {
"title": "$:/core/modules/widgets/link.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/link.js\ntype: application/javascript\nmodule-type: widget\n\nLink widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LinkWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nLinkWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLinkWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Get the value of the tv-wikilinks configuration macro\n\tvar wikiLinksMacro = this.getVariable(\"tv-wikilinks\"),\n\t\tuseWikiLinks = wikiLinksMacro ? (wikiLinksMacro.trim() !== \"no\") : true,\n\t\tmissingLinksEnabled = !(this.hideMissingLinks && this.isMissing && !this.isShadow);\n\t// Render the link if required\n\tif(useWikiLinks && missingLinksEnabled) {\n\t\tthis.renderLink(parent,nextSibling);\n\t} else {\n\t\t// Just insert the link text\n\t\tvar domNode = this.document.createElement(\"span\");\n\t\tparent.insertBefore(domNode,nextSibling);\n\t\tthis.renderChildren(domNode,null);\n\t\tthis.domNodes.push(domNode);\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nLinkWidget.prototype.renderLink = function(parent,nextSibling) {\n\tvar self = this;\n\t// Sanitise the specified tag\n\tvar tag = this.linkTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"a\";\n\t}\n\t// Create our element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = [];\n\tif(this.overrideClasses === undefined) {\n\t\tclasses.push(\"tc-tiddlylink\");\n\t\tif(this.isShadow) {\n\t\t\tclasses.push(\"tc-tiddlylink-shadow\");\n\t\t}\n\t\tif(this.isMissing && !this.isShadow) {\n\t\t\tclasses.push(\"tc-tiddlylink-missing\");\n\t\t} else {\n\t\t\tif(!this.isMissing) {\n\t\t\t\tclasses.push(\"tc-tiddlylink-resolves\");\n\t\t\t}\n\t\t}\n\t\tif(this.linkClasses) {\n\t\t\tclasses.push(this.linkClasses);\t\t\t\n\t\t}\n\t} else if(this.overrideClasses !== \"\") {\n\t\tclasses.push(this.overrideClasses)\n\t}\n\tif(classes.length > 0) {\n\t\tdomNode.setAttribute(\"class\",classes.join(\" \"));\n\t}\n\t// Set an href\n\tvar wikilinkTransformFilter = this.getVariable(\"tv-filter-export-link\"),\n\t\twikiLinkText;\n\tif(wikilinkTransformFilter) {\n\t\t// Use the filter to construct the href\n\t\twikiLinkText = this.wiki.filterTiddlers(wikilinkTransformFilter,this,function(iterator) {\n\t\t\titerator(self.wiki.getTiddler(self.to),self.to)\n\t\t})[0];\n\t} else {\n\t\t// Expand the tv-wikilink-template variable to construct the href\n\t\tvar wikiLinkTemplateMacro = this.getVariable(\"tv-wikilink-template\"),\n\t\t\twikiLinkTemplate = wikiLinkTemplateMacro ? wikiLinkTemplateMacro.trim() : \"#$uri_encoded$\";\n\t\twikiLinkText = $tw.utils.replaceString(wikiLinkTemplate,\"$uri_encoded$\",encodeURIComponent(this.to));\n\t\twikiLinkText = $tw.utils.replaceString(wikiLinkText,\"$uri_doubleencoded$\",encodeURIComponent(encodeURIComponent(this.to)));\n\t}\n\t// Override with the value of tv-get-export-link if defined\n\twikiLinkText = this.getVariable(\"tv-get-export-link\",{params: [{name: \"to\",value: this.to}],defaultValue: wikiLinkText});\n\tif(tag === \"a\") {\n\t\tdomNode.setAttribute(\"href\",wikiLinkText);\n\t}\n\t// Set the tabindex\n\tif(this.tabIndex) {\n\t\tdomNode.setAttribute(\"tabindex\",this.tabIndex);\n\t}\n\t// Set the tooltip\n\t// HACK: Performance issues with re-parsing the tooltip prevent us defaulting the tooltip to \"<$transclude field='tooltip'><$transclude field='title'/></$transclude>\"\n\tvar tooltipWikiText = this.tooltip || this.getVariable(\"tv-wikilink-tooltip\");\n\tif(tooltipWikiText) {\n\t\tvar tooltipText = this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",tooltipWikiText,{\n\t\t\t\tparseAsInline: true,\n\t\t\t\tvariables: {\n\t\t\t\t\tcurrentTiddler: this.to\n\t\t\t\t},\n\t\t\t\tparentWidget: this\n\t\t\t});\n\t\tdomNode.setAttribute(\"title\",tooltipText);\n\t}\n\tif(this[\"aria-label\"]) {\n\t\tdomNode.setAttribute(\"aria-label\",this[\"aria-label\"]);\n\t}\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"click\", handlerObject: this, handlerMethod: \"handleClickEvent\"},\n\t]);\n\t// Make the link draggable if required\n\tif(this.draggable === \"yes\") {\n\t\t$tw.utils.makeDraggable({\n\t\t\tdomNode: domNode,\n\t\t\tdragTiddlerFn: function() {return self.to;},\n\t\t\twidget: this\n\t\t});\n\t}\n\t// Insert the link into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nLinkWidget.prototype.handleClickEvent = function(event) {\n\t// Send the click on its way as a navigate event\n\tvar bounds = this.domNodes[0].getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1),\n\t\tmetaKey: event.metaKey,\n\t\tctrlKey: event.ctrlKey,\n\t\taltKey: event.altKey,\n\t\tshiftKey: event.shiftKey\n\t});\n\tif(this.domNodes[0].hasAttribute(\"href\")) {\n\t\tevent.preventDefault();\n\t}\n\tevent.stopPropagation();\n\treturn false;\n};\n\n/*\nCompute the internal state of the widget\n*/\nLinkWidget.prototype.execute = function() {\n\t// Pick up our attributes\n\tthis.to = this.getAttribute(\"to\",this.getVariable(\"currentTiddler\"));\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis[\"aria-label\"] = this.getAttribute(\"aria-label\");\n\tthis.linkClasses = this.getAttribute(\"class\");\n\tthis.overrideClasses = this.getAttribute(\"overrideClass\");\n\tthis.tabIndex = this.getAttribute(\"tabindex\");\n\tthis.draggable = this.getAttribute(\"draggable\",\"yes\");\n\tthis.linkTag = this.getAttribute(\"tag\",\"a\");\n\t// Determine the link characteristics\n\tthis.isMissing = !this.wiki.tiddlerExists(this.to);\n\tthis.isShadow = this.wiki.isShadowTiddler(this.to);\n\tthis.hideMissingLinks = (this.getVariable(\"tv-show-missing-links\") || \"yes\") === \"no\";\n\t// Make the child widgets\n\tvar templateTree;\n\tif(this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\ttemplateTree = this.parseTreeNode.children;\n\t} else {\n\t\t// Default template is a link to the title\n\t\ttemplateTree = [{type: \"text\", text: this.to}];\n\t}\n\tthis.makeChildWidgets(templateTree);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLinkWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedTiddlers[this.to] || changedAttributes[\"aria-label\"] || changedAttributes.tooltip) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.link = LinkWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/linkcatcher.js": {
"title": "$:/core/modules/widgets/linkcatcher.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/linkcatcher.js\ntype: application/javascript\nmodule-type: widget\n\nLinkcatcher widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LinkCatcherWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-navigate\", handler: \"handleNavigateEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nLinkCatcherWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLinkCatcherWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nLinkCatcherWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.catchTo = this.getAttribute(\"to\");\n\tthis.catchMessage = this.getAttribute(\"message\");\n\tthis.catchSet = this.getAttribute(\"set\");\n\tthis.catchSetTo = this.getAttribute(\"setTo\");\n\tthis.catchActions = this.getAttribute(\"actions\");\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n\t// When executing actions we avoid trapping navigate events, so that we don't trigger ourselves recursively\n\tthis.executingActions = false;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLinkCatcherWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedAttributes.message || changedAttributes.set || changedAttributes.setTo) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\n/*\nHandle a tm-navigate event\n*/\nLinkCatcherWidget.prototype.handleNavigateEvent = function(event) {\n\tif(!this.executingActions) {\n\t\t// Execute the actions\n\t\tif(this.catchTo) {\n\t\t\tthis.wiki.setTextReference(this.catchTo,event.navigateTo,this.getVariable(\"currentTiddler\"));\n\t\t}\n\t\tif(this.catchMessage && this.parentWidget) {\n\t\t\tthis.parentWidget.dispatchEvent({\n\t\t\t\ttype: this.catchMessage,\n\t\t\t\tparam: event.navigateTo,\n\t\t\t\tnavigateTo: event.navigateTo\n\t\t\t});\n\t\t}\n\t\tif(this.catchSet) {\n\t\t\tvar tiddler = this.wiki.getTiddler(this.catchSet);\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,{title: this.catchSet, text: this.catchSetTo}));\n\t\t}\n\t\tif(this.catchActions) {\n\t\t\tthis.executingActions = true;\n\t\t\tthis.invokeActionString(this.catchActions,this,event,{navigateTo: event.navigateTo});\n\t\t\tthis.executingActions = false;\n\t\t}\n\t} else {\n\t\t// This is a navigate event generated by the actions of this linkcatcher, so we don't trap it again, but just pass it to the parent\n\t\tthis.parentWidget.dispatchEvent({\n\t\t\ttype: \"tm-navigate\",\n\t\t\tparam: event.navigateTo,\n\t\t\tnavigateTo: event.navigateTo\n\t\t});\n\t}\n\treturn false;\n};\n\nexports.linkcatcher = LinkCatcherWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/list.js": {
"title": "$:/core/modules/widgets/list.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/list.js\ntype: application/javascript\nmodule-type: widget\n\nList and list item widgets\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\n/*\nThe list widget creates list element sub-widgets that reach back into the list widget for their configuration\n*/\n\nvar ListWidget = function(parseTreeNode,options) {\n\t// Initialise the storyviews if they've not been done already\n\tif(!this.storyViews) {\n\t\tListWidget.prototype.storyViews = {};\n\t\t$tw.modules.applyMethods(\"storyview\",this.storyViews);\n\t}\n\t// Main initialisation inherited from widget.js\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nListWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nListWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n\t// Construct the storyview\n\tvar StoryView = this.storyViews[this.storyViewName];\n\tif(this.storyViewName && !StoryView) {\n\t\tStoryView = this.storyViews[\"classic\"];\n\t}\n\tif(StoryView && !this.document.isTiddlyWikiFakeDom) {\n\t\tthis.storyview = new StoryView(this);\n\t} else {\n\t\tthis.storyview = null;\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nListWidget.prototype.execute = function() {\n\t// Get our attributes\n\tthis.template = this.getAttribute(\"template\");\n\tthis.editTemplate = this.getAttribute(\"editTemplate\");\n\tthis.variableName = this.getAttribute(\"variable\",\"currentTiddler\");\n\tthis.storyViewName = this.getAttribute(\"storyview\");\n\tthis.historyTitle = this.getAttribute(\"history\");\n\t// Compose the list elements\n\tthis.list = this.getTiddlerList();\n\tvar members = [],\n\t\tself = this;\n\t// Check for an empty list\n\tif(this.list.length === 0) {\n\t\tmembers = this.getEmptyMessage();\n\t} else {\n\t\t$tw.utils.each(this.list,function(title,index) {\n\t\t\tmembers.push(self.makeItemTemplate(title));\n\t\t});\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(members);\n\t// Clear the last history\n\tthis.history = [];\n};\n\nListWidget.prototype.getTiddlerList = function() {\n\tvar defaultFilter = \"[!is[system]sort[title]]\";\n\treturn this.wiki.filterTiddlers(this.getAttribute(\"filter\",defaultFilter),this);\n};\n\nListWidget.prototype.getEmptyMessage = function() {\n\tvar emptyMessage = this.getAttribute(\"emptyMessage\",\"\"),\n\t\tparser = this.wiki.parseText(\"text/vnd.tiddlywiki\",emptyMessage,{parseAsInline: true});\n\tif(parser) {\n\t\treturn parser.tree;\n\t} else {\n\t\treturn [];\n\t}\n};\n\n/*\nCompose the template for a list item\n*/\nListWidget.prototype.makeItemTemplate = function(title) {\n\t// Check if the tiddler is a draft\n\tvar tiddler = this.wiki.getTiddler(title),\n\t\tisDraft = tiddler && tiddler.hasField(\"draft.of\"),\n\t\ttemplate = this.template,\n\t\ttemplateTree;\n\tif(isDraft && this.editTemplate) {\n\t\ttemplate = this.editTemplate;\n\t}\n\t// Compose the transclusion of the template\n\tif(template) {\n\t\ttemplateTree = [{type: \"transclude\", attributes: {tiddler: {type: \"string\", value: template}}}];\n\t} else {\n\t\tif(this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\t\ttemplateTree = this.parseTreeNode.children;\n\t\t} else {\n\t\t\t// Default template is a link to the title\n\t\t\ttemplateTree = [{type: \"element\", tag: this.parseTreeNode.isBlock ? \"div\" : \"span\", children: [{type: \"link\", attributes: {to: {type: \"string\", value: title}}, children: [\n\t\t\t\t\t{type: \"text\", text: title}\n\t\t\t]}]}];\n\t\t}\n\t}\n\t// Return the list item\n\treturn {type: \"listitem\", itemTitle: title, variableName: this.variableName, children: templateTree};\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nListWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tresult;\n\t// Call the storyview\n\tif(this.storyview && this.storyview.refreshStart) {\n\t\tthis.storyview.refreshStart(changedTiddlers,changedAttributes);\n\t}\n\t// Completely refresh if any of our attributes have changed\n\tif(changedAttributes.filter || changedAttributes.template || changedAttributes.editTemplate || changedAttributes.emptyMessage || changedAttributes.storyview || changedAttributes.history) {\n\t\tthis.refreshSelf();\n\t\tresult = true;\n\t} else {\n\t\t// Handle any changes to the list\n\t\tresult = this.handleListChanges(changedTiddlers);\n\t\t// Handle any changes to the history stack\n\t\tif(this.historyTitle && changedTiddlers[this.historyTitle]) {\n\t\t\tthis.handleHistoryChanges();\n\t\t}\n\t}\n\t// Call the storyview\n\tif(this.storyview && this.storyview.refreshEnd) {\n\t\tthis.storyview.refreshEnd(changedTiddlers,changedAttributes);\n\t}\n\treturn result;\n};\n\n/*\nHandle any changes to the history list\n*/\nListWidget.prototype.handleHistoryChanges = function() {\n\t// Get the history data\n\tvar newHistory = this.wiki.getTiddlerDataCached(this.historyTitle,[]);\n\t// Ignore any entries of the history that match the previous history\n\tvar entry = 0;\n\twhile(entry < newHistory.length && entry < this.history.length && newHistory[entry].title === this.history[entry].title) {\n\t\tentry++;\n\t}\n\t// Navigate forwards to each of the new tiddlers\n\twhile(entry < newHistory.length) {\n\t\tif(this.storyview && this.storyview.navigateTo) {\n\t\t\tthis.storyview.navigateTo(newHistory[entry]);\n\t\t}\n\t\tentry++;\n\t}\n\t// Update the history\n\tthis.history = newHistory;\n};\n\n/*\nProcess any changes to the list\n*/\nListWidget.prototype.handleListChanges = function(changedTiddlers) {\n\t// Get the new list\n\tvar prevList = this.list;\n\tthis.list = this.getTiddlerList();\n\t// Check for an empty list\n\tif(this.list.length === 0) {\n\t\t// Check if it was empty before\n\t\tif(prevList.length === 0) {\n\t\t\t// If so, just refresh the empty message\n\t\t\treturn this.refreshChildren(changedTiddlers);\n\t\t} else {\n\t\t\t// Replace the previous content with the empty message\n\t\t\tfor(t=this.children.length-1; t>=0; t--) {\n\t\t\t\tthis.removeListItem(t);\n\t\t\t}\n\t\t\tvar nextSibling = this.findNextSiblingDomNode();\n\t\t\tthis.makeChildWidgets(this.getEmptyMessage());\n\t\t\tthis.renderChildren(this.parentDomNode,nextSibling);\n\t\t\treturn true;\n\t\t}\n\t} else {\n\t\t// If the list was empty then we need to remove the empty message\n\t\tif(prevList.length === 0) {\n\t\t\tthis.removeChildDomNodes();\n\t\t\tthis.children = [];\n\t\t}\n\t\t// Cycle through the list, inserting and removing list items as needed\n\t\tvar hasRefreshed = false;\n\t\tfor(var t=0; t<this.list.length; t++) {\n\t\t\tvar index = this.findListItem(t,this.list[t]);\n\t\t\tif(index === undefined) {\n\t\t\t\t// The list item must be inserted\n\t\t\t\tthis.insertListItem(t,this.list[t]);\n\t\t\t\thasRefreshed = true;\n\t\t\t} else {\n\t\t\t\t// There are intervening list items that must be removed\n\t\t\t\tfor(var n=index-1; n>=t; n--) {\n\t\t\t\t\tthis.removeListItem(n);\n\t\t\t\t\thasRefreshed = true;\n\t\t\t\t}\n\t\t\t\t// Refresh the item we're reusing\n\t\t\t\tvar refreshed = this.children[t].refresh(changedTiddlers);\n\t\t\t\thasRefreshed = hasRefreshed || refreshed;\n\t\t\t}\n\t\t}\n\t\t// Remove any left over items\n\t\tfor(t=this.children.length-1; t>=this.list.length; t--) {\n\t\t\tthis.removeListItem(t);\n\t\t\thasRefreshed = true;\n\t\t}\n\t\treturn hasRefreshed;\n\t}\n};\n\n/*\nFind the list item with a given title, starting from a specified position\n*/\nListWidget.prototype.findListItem = function(startIndex,title) {\n\twhile(startIndex < this.children.length) {\n\t\tif(this.children[startIndex].parseTreeNode.itemTitle === title) {\n\t\t\treturn startIndex;\n\t\t}\n\t\tstartIndex++;\n\t}\n\treturn undefined;\n};\n\n/*\nInsert a new list item at the specified index\n*/\nListWidget.prototype.insertListItem = function(index,title) {\n\t// Create, insert and render the new child widgets\n\tvar widget = this.makeChildWidget(this.makeItemTemplate(title));\n\twidget.parentDomNode = this.parentDomNode; // Hack to enable findNextSiblingDomNode() to work\n\tthis.children.splice(index,0,widget);\n\tvar nextSibling = widget.findNextSiblingDomNode();\n\twidget.render(this.parentDomNode,nextSibling);\n\t// Animate the insertion if required\n\tif(this.storyview && this.storyview.insert) {\n\t\tthis.storyview.insert(widget);\n\t}\n\treturn true;\n};\n\n/*\nRemove the specified list item\n*/\nListWidget.prototype.removeListItem = function(index) {\n\tvar widget = this.children[index];\n\t// Animate the removal if required\n\tif(this.storyview && this.storyview.remove) {\n\t\tthis.storyview.remove(widget);\n\t} else {\n\t\twidget.removeChildDomNodes();\n\t}\n\t// Remove the child widget\n\tthis.children.splice(index,1);\n};\n\nexports.list = ListWidget;\n\nvar ListItemWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nListItemWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nListItemWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nListItemWidget.prototype.execute = function() {\n\t// Set the current list item title\n\tthis.setVariable(this.parseTreeNode.variableName,this.parseTreeNode.itemTitle);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nListItemWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.listitem = ListItemWidget;\n\n})();",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/macrocall.js": {
"title": "$:/core/modules/widgets/macrocall.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/macrocall.js\ntype: application/javascript\nmodule-type: widget\n\nMacrocall widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar MacroCallWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nMacroCallWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nMacroCallWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nMacroCallWidget.prototype.execute = function() {\n\t// Get the parse type if specified\n\tthis.parseType = this.getAttribute(\"$type\",\"text/vnd.tiddlywiki\");\n\tthis.renderOutput = this.getAttribute(\"$output\",\"text/html\");\n\t// Merge together the parameters specified in the parse tree with the specified attributes\n\tvar params = this.parseTreeNode.params ? this.parseTreeNode.params.slice(0) : [];\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tparams.push({name: name, value: attribute});\t\t\t\n\t\t}\n\t});\n\t// Get the macro value\n\tvar macroName = this.parseTreeNode.name || this.getAttribute(\"$name\"),\n\t\tvariableInfo = this.getVariableInfo(macroName,{params: params}),\n\t\ttext = variableInfo.text,\n\t\tparseTreeNodes;\n\t// Are we rendering to HTML?\n\tif(this.renderOutput === \"text/html\") {\n\t\t// If so we'll return the parsed macro\n\t\tvar parser = this.wiki.parseText(this.parseType,text,\n\t\t\t\t\t\t\t{parseAsInline: !this.parseTreeNode.isBlock});\n\t\tparseTreeNodes = parser ? parser.tree : [];\n\t\t// Wrap the parse tree in a vars widget assigning the parameters to variables named \"__paramname__\"\n\t\tvar attributes = {};\n\t\t$tw.utils.each(variableInfo.params,function(param) {\n\t\t\tvar name = \"__\" + param.name + \"__\";\n\t\t\tattributes[name] = {\n\t\t\t\tname: name,\n\t\t\t\ttype: \"string\",\n\t\t\t\tvalue: param.value\n\t\t\t};\n\t\t});\n\t\tparseTreeNodes = [{\n\t\t\ttype: \"vars\",\n\t\t\tattributes: attributes,\n\t\t\tchildren: parseTreeNodes\n\t\t}];\n\t} else {\n\t\t// Otherwise, we'll render the text\n\t\tvar plainText = this.wiki.renderText(\"text/plain\",this.parseType,text,{parentWidget: this});\n\t\tparseTreeNodes = [{type: \"text\", text: plainText}];\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nMacroCallWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\t// Rerender ourselves\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.macrocall = MacroCallWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/navigator.js": {
"title": "$:/core/modules/widgets/navigator.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/navigator.js\ntype: application/javascript\nmodule-type: widget\n\nNavigator widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar IMPORT_TITLE = \"$:/Import\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar NavigatorWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-navigate\", handler: \"handleNavigateEvent\"},\n\t\t{type: \"tm-edit-tiddler\", handler: \"handleEditTiddlerEvent\"},\n\t\t{type: \"tm-delete-tiddler\", handler: \"handleDeleteTiddlerEvent\"},\n\t\t{type: \"tm-save-tiddler\", handler: \"handleSaveTiddlerEvent\"},\n\t\t{type: \"tm-cancel-tiddler\", handler: \"handleCancelTiddlerEvent\"},\n\t\t{type: \"tm-close-tiddler\", handler: \"handleCloseTiddlerEvent\"},\n\t\t{type: \"tm-close-all-tiddlers\", handler: \"handleCloseAllTiddlersEvent\"},\n\t\t{type: \"tm-close-other-tiddlers\", handler: \"handleCloseOtherTiddlersEvent\"},\n\t\t{type: \"tm-new-tiddler\", handler: \"handleNewTiddlerEvent\"},\n\t\t{type: \"tm-import-tiddlers\", handler: \"handleImportTiddlersEvent\"},\n\t\t{type: \"tm-perform-import\", handler: \"handlePerformImportEvent\"},\n\t\t{type: \"tm-fold-tiddler\", handler: \"handleFoldTiddlerEvent\"},\n\t\t{type: \"tm-fold-other-tiddlers\", handler: \"handleFoldOtherTiddlersEvent\"},\n\t\t{type: \"tm-fold-all-tiddlers\", handler: \"handleFoldAllTiddlersEvent\"},\n\t\t{type: \"tm-unfold-all-tiddlers\", handler: \"handleUnfoldAllTiddlersEvent\"},\n\t\t{type: \"tm-rename-tiddler\", handler: \"handleRenameTiddlerEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nNavigatorWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nNavigatorWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nNavigatorWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.storyTitle = this.getAttribute(\"story\");\n\tthis.historyTitle = this.getAttribute(\"history\");\n\tthis.setVariable(\"tv-story-list\",this.storyTitle);\n\tthis.setVariable(\"tv-history-list\",this.historyTitle);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nNavigatorWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.story || changedAttributes.history) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nNavigatorWidget.prototype.getStoryList = function() {\n\treturn this.storyTitle ? this.wiki.getTiddlerList(this.storyTitle) : null;\n};\n\nNavigatorWidget.prototype.saveStoryList = function(storyList) {\n\tif(this.storyTitle) {\n\t\tvar storyTiddler = this.wiki.getTiddler(this.storyTitle);\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\t\t{title: this.storyTitle},\n\t\t\tstoryTiddler,\n\t\t\t{list: storyList}\n\t\t));\t\t\n\t}\n};\n\nNavigatorWidget.prototype.removeTitleFromStory = function(storyList,title) {\n\tif(storyList) {\n\t\tvar p = storyList.indexOf(title);\n\t\twhile(p !== -1) {\n\t\t\tstoryList.splice(p,1);\n\t\t\tp = storyList.indexOf(title);\n\t\t}\t\t\n\t}\n};\n\nNavigatorWidget.prototype.replaceFirstTitleInStory = function(storyList,oldTitle,newTitle) {\n\tif(storyList) {\n\t\tvar pos = storyList.indexOf(oldTitle);\n\t\tif(pos !== -1) {\n\t\t\tstoryList[pos] = newTitle;\n\t\t\tdo {\n\t\t\t\tpos = storyList.indexOf(oldTitle,pos + 1);\n\t\t\t\tif(pos !== -1) {\n\t\t\t\t\tstoryList.splice(pos,1);\n\t\t\t\t}\n\t\t\t} while(pos !== -1);\n\t\t} else {\n\t\t\tstoryList.splice(0,0,newTitle);\n\t\t}\t\t\n\t}\n};\n\nNavigatorWidget.prototype.addToStory = function(title,fromTitle) {\n\tif(this.storyTitle) {\n\t\tthis.wiki.addToStory(title,fromTitle,this.storyTitle,{\n\t\t\topenLinkFromInsideRiver: this.getAttribute(\"openLinkFromInsideRiver\",\"top\"),\n\t\t\topenLinkFromOutsideRiver: this.getAttribute(\"openLinkFromOutsideRiver\",\"top\")\n\t\t});\n\t}\n};\n\n/*\nAdd a new record to the top of the history stack\ntitle: a title string or an array of title strings\nfromPageRect: page coordinates of the origin of the navigation\n*/\nNavigatorWidget.prototype.addToHistory = function(title,fromPageRect) {\n\tthis.wiki.addToHistory(title,fromPageRect,this.historyTitle);\n};\n\n/*\nHandle a tm-navigate event\n*/\nNavigatorWidget.prototype.handleNavigateEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-navigating\",event);\n\tif(event.navigateTo) {\n\t\tthis.addToStory(event.navigateTo,event.navigateFromTitle);\n\t\tif(!event.navigateSuppressNavigation) {\n\t\t\tthis.addToHistory(event.navigateTo,event.navigateFromClientRect);\n\t\t}\n\t}\n\treturn false;\n};\n\n// Close a specified tiddler\nNavigatorWidget.prototype.handleCloseTiddlerEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle,\n\t\tstoryList = this.getStoryList();\n\t// Look for tiddlers with this title to close\n\tthis.removeTitleFromStory(storyList,title);\n\tthis.saveStoryList(storyList);\n\treturn false;\n};\n\n// Close all tiddlers\nNavigatorWidget.prototype.handleCloseAllTiddlersEvent = function(event) {\n\tthis.saveStoryList([]);\n\treturn false;\n};\n\n// Close other tiddlers\nNavigatorWidget.prototype.handleCloseOtherTiddlersEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle;\n\tthis.saveStoryList([title]);\n\treturn false;\n};\n\n// Place a tiddler in edit mode\nNavigatorWidget.prototype.handleEditTiddlerEvent = function(event) {\n\tvar editTiddler = $tw.hooks.invokeHook(\"th-editing-tiddler\",event);\n\tif(!editTiddler) {\n\t\treturn false;\n\t}\n\tvar self = this;\n\tfunction isUnmodifiedShadow(title) {\n\t\treturn self.wiki.isShadowTiddler(title) && !self.wiki.tiddlerExists(title);\n\t}\n\tfunction confirmEditShadow(title) {\n\t\treturn confirm($tw.language.getString(\n\t\t\t\"ConfirmEditShadowTiddler\",\n\t\t\t{variables:\n\t\t\t\t{title: title}\n\t\t\t}\n\t\t));\n\t}\n\tvar title = event.param || event.tiddlerTitle;\n\tif(isUnmodifiedShadow(title) && !confirmEditShadow(title)) {\n\t\treturn false;\n\t}\n\t// Replace the specified tiddler with a draft in edit mode\n\tvar draftTiddler = this.makeDraftTiddler(title);\n\t// Update the story and history if required\n\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\tvar draftTitle = draftTiddler.fields.title,\n\t\t\tstoryList = this.getStoryList();\n\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\tthis.replaceFirstTitleInStory(storyList,title,draftTitle);\n\t\tthis.addToHistory(draftTitle,event.navigateFromClientRect);\n\t\tthis.saveStoryList(storyList);\n\t\treturn false;\n\t}\n};\n\n// Delete a tiddler\nNavigatorWidget.prototype.handleDeleteTiddlerEvent = function(event) {\n\t// Get the tiddler we're deleting\n\tvar title = event.param || event.tiddlerTitle,\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tstoryList = this.getStoryList(),\n\t\toriginalTitle = tiddler ? tiddler.fields[\"draft.of\"] : \"\",\n\t\toriginalTiddler = originalTitle ? this.wiki.getTiddler(originalTitle) : undefined,\n\t\tconfirmationTitle;\n\tif(!tiddler) {\n\t\treturn false;\n\t}\n\t// Check if the tiddler we're deleting is in draft mode\n\tif(originalTitle) {\n\t\t// If so, we'll prompt for confirmation referencing the original tiddler\n\t\tconfirmationTitle = originalTitle;\n\t} else {\n\t\t// If not a draft, then prompt for confirmation referencing the specified tiddler\n\t\tconfirmationTitle = title;\n\t}\n\t// Seek confirmation\n\tif((this.wiki.getTiddler(originalTitle) || (tiddler.fields.text || \"\") !== \"\") && !confirm($tw.language.getString(\n\t\t\t\t\"ConfirmDeleteTiddler\",\n\t\t\t\t{variables:\n\t\t\t\t\t{title: confirmationTitle}\n\t\t\t\t}\n\t\t\t))) {\n\t\treturn false;\n\t}\n\t// Delete the original tiddler\n\tif(originalTitle) {\n\t\tif(originalTiddler) {\n\t\t\t$tw.hooks.invokeHook(\"th-deleting-tiddler\",originalTiddler);\n\t\t}\n\t\tthis.wiki.deleteTiddler(originalTitle);\n\t\tthis.removeTitleFromStory(storyList,originalTitle);\n\t}\n\t// Invoke the hook function and delete this tiddler\n\t$tw.hooks.invokeHook(\"th-deleting-tiddler\",tiddler);\n\tthis.wiki.deleteTiddler(title);\n\t// Remove the closed tiddler from the story\n\tthis.removeTitleFromStory(storyList,title);\n\tthis.saveStoryList(storyList);\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\treturn false;\n};\n\n/*\nCreate/reuse the draft tiddler for a given title\n*/\nNavigatorWidget.prototype.makeDraftTiddler = function(targetTitle) {\n\t// See if there is already a draft tiddler for this tiddler\n\tvar draftTitle = this.wiki.findDraft(targetTitle);\n\tif(draftTitle) {\n\t\treturn this.wiki.getTiddler(draftTitle);\n\t}\n\t// Get the current value of the tiddler we're editing\n\tvar tiddler = this.wiki.getTiddler(targetTitle);\n\t// Save the initial value of the draft tiddler\n\tdraftTitle = this.generateDraftTitle(targetTitle);\n\tvar draftTiddler = new $tw.Tiddler(\n\t\t\ttiddler,\n\t\t\t{\n\t\t\t\ttitle: draftTitle,\n\t\t\t\t\"draft.title\": targetTitle,\n\t\t\t\t\"draft.of\": targetTitle\n\t\t\t},\n\t\t\tthis.wiki.getModificationFields()\n\t\t);\n\tthis.wiki.addTiddler(draftTiddler);\n\treturn draftTiddler;\n};\n\n/*\nGenerate a title for the draft of a given tiddler\n*/\nNavigatorWidget.prototype.generateDraftTitle = function(title) {\n\treturn this.wiki.generateDraftTitle(title);\n};\n\n// Take a tiddler out of edit mode, saving the changes\nNavigatorWidget.prototype.handleSaveTiddlerEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle,\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tstoryList = this.getStoryList();\n\t// Replace the original tiddler with the draft\n\tif(tiddler) {\n\t\tvar draftTitle = (tiddler.fields[\"draft.title\"] || \"\").trim(),\n\t\t\tdraftOf = (tiddler.fields[\"draft.of\"] || \"\").trim();\n\t\tif(draftTitle) {\n\t\t\tvar isRename = draftOf !== draftTitle,\n\t\t\t\tisConfirmed = true;\n\t\t\tif(isRename && this.wiki.tiddlerExists(draftTitle)) {\n\t\t\t\tisConfirmed = confirm($tw.language.getString(\n\t\t\t\t\t\"ConfirmOverwriteTiddler\",\n\t\t\t\t\t{variables:\n\t\t\t\t\t\t{title: draftTitle}\n\t\t\t\t\t}\n\t\t\t\t));\n\t\t\t}\n\t\t\tif(isConfirmed) {\n\t\t\t\t// Create the new tiddler and pass it through the th-saving-tiddler hook\n\t\t\t\tvar newTiddler = new $tw.Tiddler(this.wiki.getCreationFields(),tiddler,{\n\t\t\t\t\ttitle: draftTitle,\n\t\t\t\t\t\"draft.title\": undefined,\n\t\t\t\t\t\"draft.of\": undefined\n\t\t\t\t},this.wiki.getModificationFields());\n\t\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-saving-tiddler\",newTiddler);\n\t\t\t\tthis.wiki.addTiddler(newTiddler);\n\t\t\t\t// If enabled, relink references to renamed tiddler\n\t\t\t\tvar shouldRelink = this.getAttribute(\"relinkOnRename\",\"no\").toLowerCase().trim() === \"yes\";\n\t\t\t\tif(isRename && shouldRelink && this.wiki.tiddlerExists(draftOf)) {\nconsole.log(\"Relinking '\" + draftOf + \"' to '\" + draftTitle + \"'\");\n\t\t\t\t\tthis.wiki.relinkTiddler(draftOf,draftTitle);\n\t\t\t\t}\n\t\t\t\t// Remove the draft tiddler\n\t\t\t\tthis.wiki.deleteTiddler(title);\n\t\t\t\t// Remove the original tiddler if we're renaming it\n\t\t\t\tif(isRename) {\n\t\t\t\t\tthis.wiki.deleteTiddler(draftOf);\n\t\t\t\t}\n\t\t\t\t// #2381 always remove new title & old\n\t\t\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\t\t\tthis.removeTitleFromStory(storyList,draftOf);\n\t\t\t\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\t\t\t\t// Replace the draft in the story with the original\n\t\t\t\t\tthis.replaceFirstTitleInStory(storyList,title,draftTitle);\n\t\t\t\t\tthis.addToHistory(draftTitle,event.navigateFromClientRect);\n\t\t\t\t\tif(draftTitle !== this.storyTitle) {\n\t\t\t\t\t\tthis.saveStoryList(storyList);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Trigger an autosave\n\t\t\t\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\n// Take a tiddler out of edit mode without saving the changes\nNavigatorWidget.prototype.handleCancelTiddlerEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-cancelling-tiddler\", event);\n\t// Flip the specified tiddler from draft back to the original\n\tvar draftTitle = event.param || event.tiddlerTitle,\n\t\tdraftTiddler = this.wiki.getTiddler(draftTitle),\n\t\toriginalTitle = draftTiddler && draftTiddler.fields[\"draft.of\"];\n\tif(draftTiddler && originalTitle) {\n\t\t// Ask for confirmation if the tiddler text has changed\n\t\tvar isConfirmed = true,\n\t\t\toriginalTiddler = this.wiki.getTiddler(originalTitle),\n\t\t\tstoryList = this.getStoryList();\n\t\tif(this.wiki.isDraftModified(draftTitle)) {\n\t\t\tisConfirmed = confirm($tw.language.getString(\n\t\t\t\t\"ConfirmCancelTiddler\",\n\t\t\t\t{variables:\n\t\t\t\t\t{title: draftTitle}\n\t\t\t\t}\n\t\t\t));\n\t\t}\n\t\t// Remove the draft tiddler\n\t\tif(isConfirmed) {\n\t\t\tthis.wiki.deleteTiddler(draftTitle);\n\t\t\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\t\t\tif(originalTiddler) {\n\t\t\t\t\tthis.replaceFirstTitleInStory(storyList,draftTitle,originalTitle);\n\t\t\t\t\tthis.addToHistory(originalTitle,event.navigateFromClientRect);\n\t\t\t\t} else {\n\t\t\t\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\t\t\t}\n\t\t\t\tthis.saveStoryList(storyList);\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\n// Create a new draft tiddler\n// event.param can either be the title of a template tiddler, or a hashmap of fields.\n//\n// The title of the newly created tiddler follows these rules:\n// * If a hashmap was used and a title field was specified, use that title\n// * If a hashmap was used without a title field, use a default title, if necessary making it unique with a numeric suffix\n// * If a template tiddler was used, use the title of the template, if necessary making it unique with a numeric suffix\n//\n// If a draft of the target tiddler already exists then it is reused\nNavigatorWidget.prototype.handleNewTiddlerEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-new-tiddler\", event);\n\t// Get the story details\n\tvar storyList = this.getStoryList(),\n\t\ttemplateTiddler, additionalFields, title, draftTitle, existingTiddler;\n\t// Get the template tiddler (if any)\n\tif(typeof event.param === \"string\") {\n\t\t// Get the template tiddler\n\t\ttemplateTiddler = this.wiki.getTiddler(event.param);\n\t\t// Generate a new title\n\t\ttitle = this.wiki.generateNewTitle(event.param || $tw.language.getString(\"DefaultNewTiddlerTitle\"));\n\t}\n\t// Get the specified additional fields\n\tif(typeof event.paramObject === \"object\") {\n\t\tadditionalFields = event.paramObject;\n\t}\n\tif(typeof event.param === \"object\") { // Backwards compatibility with 5.1.3\n\t\tadditionalFields = event.param;\n\t}\n\tif(additionalFields && additionalFields.title) {\n\t\ttitle = additionalFields.title;\n\t}\n\t// Make a copy of the additional fields excluding any blank ones\n\tvar filteredAdditionalFields = $tw.utils.extend({},additionalFields);\n\tObject.keys(filteredAdditionalFields).forEach(function(fieldName) {\n\t\tif(filteredAdditionalFields[fieldName] === \"\") {\n\t\t\tdelete filteredAdditionalFields[fieldName];\n\t\t}\n\t});\n\t// Generate a title if we don't have one\n\ttitle = title || this.wiki.generateNewTitle($tw.language.getString(\"DefaultNewTiddlerTitle\"));\n\t// Find any existing draft for this tiddler\n\tdraftTitle = this.wiki.findDraft(title);\n\t// Pull in any existing tiddler\n\tif(draftTitle) {\n\t\texistingTiddler = this.wiki.getTiddler(draftTitle);\n\t} else {\n\t\tdraftTitle = this.generateDraftTitle(title);\n\t\texistingTiddler = this.wiki.getTiddler(title);\n\t}\n\t// Merge the tags\n\tvar mergedTags = [];\n\tif(existingTiddler && existingTiddler.fields.tags) {\n\t\t$tw.utils.pushTop(mergedTags,existingTiddler.fields.tags);\n\t}\n\tif(additionalFields && additionalFields.tags) {\n\t\t// Merge tags\n\t\tmergedTags = $tw.utils.pushTop(mergedTags,$tw.utils.parseStringArray(additionalFields.tags));\n\t}\n\tif(templateTiddler && templateTiddler.fields.tags) {\n\t\t// Merge tags\n\t\tmergedTags = $tw.utils.pushTop(mergedTags,templateTiddler.fields.tags);\n\t}\n\t// Save the draft tiddler\n\tvar draftTiddler = new $tw.Tiddler({\n\t\t\ttext: \"\",\n\t\t\t\"draft.title\": title\n\t\t},\n\t\ttemplateTiddler,\n\t\tadditionalFields,\n\t\tthis.wiki.getCreationFields(),\n\t\texistingTiddler,\n\t\tfilteredAdditionalFields,\n\t\t{\n\t\t\ttitle: draftTitle,\n\t\t\t\"draft.of\": title,\n\t\t\ttags: mergedTags\n\t\t},this.wiki.getModificationFields());\n\tthis.wiki.addTiddler(draftTiddler);\n\t// Update the story to insert the new draft at the top and remove any existing tiddler\n\tif(storyList && storyList.indexOf(draftTitle) === -1) {\n\t\tvar slot = storyList.indexOf(event.navigateFromTitle);\n\t\tif(slot === -1) {\n\t\t\tslot = this.getAttribute(\"openLinkFromOutsideRiver\",\"top\") === \"bottom\" ? storyList.length - 1 : slot;\n\t\t}\n\t\tstoryList.splice(slot + 1,0,draftTitle);\n\t}\n\tif(storyList && storyList.indexOf(title) !== -1) {\n\t\tstoryList.splice(storyList.indexOf(title),1);\n\t}\n\tthis.saveStoryList(storyList);\n\t// Add a new record to the top of the history stack\n\tthis.addToHistory(draftTitle);\n\treturn false;\n};\n\n// Import JSON tiddlers into a pending import tiddler\nNavigatorWidget.prototype.handleImportTiddlersEvent = function(event) {\n\t// Get the tiddlers\n\tvar tiddlers = [];\n\ttry {\n\t\ttiddlers = JSON.parse(event.param);\n\t} catch(e) {\n\t}\n\t// Get the current $:/Import tiddler\n\tvar importTiddler = this.wiki.getTiddler(IMPORT_TITLE),\n\t\timportData = this.wiki.getTiddlerData(IMPORT_TITLE,{}),\n\t\tnewFields = new Object({\n\t\t\ttitle: IMPORT_TITLE,\n\t\t\ttype: \"application/json\",\n\t\t\t\"plugin-type\": \"import\",\n\t\t\t\"status\": \"pending\"\n\t\t}),\n\t\tincomingTiddlers = [];\n\t// Process each tiddler\n\timportData.tiddlers = importData.tiddlers || {};\n\t$tw.utils.each(tiddlers,function(tiddlerFields) {\n\t\ttiddlerFields.title = $tw.utils.trim(tiddlerFields.title);\n\t\tvar title = tiddlerFields.title;\n\t\tif(title) {\n\t\t\tincomingTiddlers.push(title);\n\t\t\timportData.tiddlers[title] = tiddlerFields;\n\t\t}\n\t});\n\t// Give the active upgrader modules a chance to process the incoming tiddlers\n\tvar messages = this.wiki.invokeUpgraders(incomingTiddlers,importData.tiddlers);\n\t$tw.utils.each(messages,function(message,title) {\n\t\tnewFields[\"message-\" + title] = message;\n\t});\n\t// Deselect any suppressed tiddlers\n\t$tw.utils.each(importData.tiddlers,function(tiddler,title) {\n\t\tif($tw.utils.count(tiddler) === 0) {\n\t\t\tnewFields[\"selection-\" + title] = \"unchecked\";\n\t\t}\n\t});\n\t// Save the $:/Import tiddler\n\tnewFields.text = JSON.stringify(importData,null,$tw.config.preferences.jsonSpaces);\n\tthis.wiki.addTiddler(new $tw.Tiddler(importTiddler,newFields));\n\t// Update the story and history details\n\tif(this.getVariable(\"tv-auto-open-on-import\") !== \"no\") {\n\t\tvar storyList = this.getStoryList(),\n\t\t\thistory = [];\n\t\t// Add it to the story\n\t\tif(storyList && storyList.indexOf(IMPORT_TITLE) === -1) {\n\t\t\tstoryList.unshift(IMPORT_TITLE);\n\t\t}\n\t\t// And to history\n\t\thistory.push(IMPORT_TITLE);\n\t\t// Save the updated story and history\n\t\tthis.saveStoryList(storyList);\n\t\tthis.addToHistory(history);\n\t}\n\treturn false;\n};\n\n//\nNavigatorWidget.prototype.handlePerformImportEvent = function(event) {\n\tvar self = this,\n\t\timportTiddler = this.wiki.getTiddler(event.param),\n\t\timportData = this.wiki.getTiddlerDataCached(event.param,{tiddlers: {}}),\n\t\timportReport = [];\n\t// Add the tiddlers to the store\n\timportReport.push($tw.language.getString(\"Import/Imported/Hint\") + \"\\n\");\n\t$tw.utils.each(importData.tiddlers,function(tiddlerFields) {\n\t\tvar title = tiddlerFields.title;\n\t\tif(title && importTiddler && importTiddler.fields[\"selection-\" + title] !== \"unchecked\") {\n\t\t\tvar tiddler = new $tw.Tiddler(tiddlerFields);\n\t\t\ttiddler = $tw.hooks.invokeHook(\"th-importing-tiddler\",tiddler);\n\t\t\tself.wiki.addTiddler(tiddler);\n\t\t\timportReport.push(\"# [[\" + tiddlerFields.title + \"]]\");\n\t\t}\n\t});\n\t// Replace the $:/Import tiddler with an import report\n\tthis.wiki.addTiddler(new $tw.Tiddler({\n\t\ttitle: event.param,\n\t\ttext: importReport.join(\"\\n\"),\n\t\t\"status\": \"complete\"\n\t}));\n\t// Navigate to the $:/Import tiddler\n\tthis.addToHistory([event.param]);\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n};\n\nNavigatorWidget.prototype.handleFoldTiddlerEvent = function(event) {\n\tvar paramObject = event.paramObject || {};\n\tif(paramObject.foldedState) {\n\t\tvar foldedState = this.wiki.getTiddlerText(paramObject.foldedState,\"show\") === \"show\" ? \"hide\" : \"show\";\n\t\tthis.wiki.setText(paramObject.foldedState,\"text\",null,foldedState);\n\t}\n};\n\nNavigatorWidget.prototype.handleFoldOtherTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,event.param === title ? \"show\" : \"hide\");\n\t});\n};\n\nNavigatorWidget.prototype.handleFoldAllTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix || \"$:/state/folded/\";\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,\"hide\");\n\t});\n};\n\nNavigatorWidget.prototype.handleUnfoldAllTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,\"show\");\n\t});\n};\n\nNavigatorWidget.prototype.handleRenameTiddlerEvent = function(event) {\n\tvar paramObject = event.paramObject || {},\n\t\tfrom = paramObject.from || event.tiddlerTitle,\n\t\tto = paramObject.to;\n\tthis.wiki.renameTiddler(from,to);\n};\n\nexports.navigator = NavigatorWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/password.js": {
"title": "$:/core/modules/widgets/password.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/password.js\ntype: application/javascript\nmodule-type: widget\n\nPassword widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar PasswordWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nPasswordWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nPasswordWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Get the current password\n\tvar password = $tw.browser ? $tw.utils.getPassword(this.passwordName) || \"\" : \"\";\n\t// Create our element\n\tvar domNode = this.document.createElement(\"input\");\n\tdomNode.setAttribute(\"type\",\"password\");\n\tdomNode.setAttribute(\"value\",password);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nPasswordWidget.prototype.handleChangeEvent = function(event) {\n\tvar password = this.domNodes[0].value;\n\treturn $tw.utils.savePassword(this.passwordName,password);\n};\n\n/*\nCompute the internal state of the widget\n*/\nPasswordWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.passwordName = this.getAttribute(\"name\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nPasswordWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.password = PasswordWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/qualify.js": {
"title": "$:/core/modules/widgets/qualify.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/qualify.js\ntype: application/javascript\nmodule-type: widget\n\nQualify text to a variable \n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar QualifyWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nQualifyWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nQualifyWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nQualifyWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.qualifyName = this.getAttribute(\"name\");\n\tthis.qualifyTitle = this.getAttribute(\"title\");\n\t// Set context variable\n\tif(this.qualifyName) {\n\t\tthis.setVariable(this.qualifyName,this.qualifyTitle + \"-\" + this.getStateQualifier());\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nQualifyWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name || changedAttributes.title) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.qualify = QualifyWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/radio.js": {
"title": "$:/core/modules/widgets/radio.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/radio.js\ntype: application/javascript\nmodule-type: widget\n\nSet a field or index at a given tiddler via radio buttons\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RadioWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRadioWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRadioWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\tvar isChecked = this.getValue() === this.radioValue;\n\t// Create our elements\n\tthis.labelDomNode = this.document.createElement(\"label\");\n\tthis.labelDomNode.setAttribute(\"class\",\n \t\t\"tc-radio \" + this.radioClass + (isChecked ? \" tc-radio-selected\" : \"\")\n \t);\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"radio\");\n\tif(isChecked) {\n\t\tthis.inputDomNode.setAttribute(\"checked\",\"true\");\n\t}\n\tthis.labelDomNode.appendChild(this.inputDomNode);\n\tthis.spanDomNode = this.document.createElement(\"span\");\n\tthis.labelDomNode.appendChild(this.spanDomNode);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.labelDomNode,nextSibling);\n\tthis.renderChildren(this.spanDomNode,null);\n\tthis.domNodes.push(this.labelDomNode);\n};\n\nRadioWidget.prototype.getValue = function() {\n\tvar value,\n\t\ttiddler = this.wiki.getTiddler(this.radioTitle);\n\tif (this.radioIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.radioTitle,this.radioIndex);\n\t} else {\n\t\tvalue = tiddler && tiddler.getFieldString(this.radioField);\n\t}\n\treturn value;\n};\n\nRadioWidget.prototype.setValue = function() {\n\tif(this.radioIndex) {\n\t\tthis.wiki.setText(this.radioTitle,\"\",this.radioIndex,this.radioValue);\n\t} else {\n\t\tvar tiddler = this.wiki.getTiddler(this.radioTitle),\n\t\t\taddition = {};\n\t\taddition[this.radioField] = this.radioValue;\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),{title: this.radioTitle},tiddler,addition,this.wiki.getModificationFields()));\n\t}\n};\n\nRadioWidget.prototype.handleChangeEvent = function(event) {\n\tif(this.inputDomNode.checked) {\n\t\tthis.setValue();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nRadioWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.radioTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.radioField = this.getAttribute(\"field\",\"text\");\n\tthis.radioIndex = this.getAttribute(\"index\");\n\tthis.radioValue = this.getAttribute(\"value\");\n\tthis.radioClass = this.getAttribute(\"class\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRadioWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.value || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.radioTitle]) {\n\t\t\tthis.inputDomNode.checked = this.getValue() === this.radioValue;\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.radio = RadioWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/range.js": {
"title": "$:/core/modules/widgets/range.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/range.js\ntype: application/javascript\nmodule-type: widget\n\nRange widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RangeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRangeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRangeWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our elements\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"range\");\n\tthis.inputDomNode.setAttribute(\"class\",this.elementClass);\n\tif(this.minValue){\n\t\tthis.inputDomNode.setAttribute(\"min\", this.minValue);\n\t}\n\tif(this.maxValue){\n\t\tthis.inputDomNode.setAttribute(\"max\", this.maxValue);\n\t}\n\tif(this.increment){\n\t\tthis.inputDomNode.setAttribute(\"step\", this.increment);\n\t}\n\tthis.inputDomNode.value = this.getValue();\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInputEvent\"},\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleInputEvent\"}\t\t\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.inputDomNode,nextSibling);\n\tthis.domNodes.push(this.inputDomNode);\n};\n\nRangeWidget.prototype.getValue = function() {\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle),\n\t\tfieldName = this.tiddlerField || \"text\",\n\t\tvalue = this.defaultValue;\n\tif(tiddler) {\n\t\tif(this.tiddlerIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(tiddler,this.tiddlerIndex,this.defaultValue || \"\");\n\t\t} else {\n\t\t\tif($tw.utils.hop(tiddler.fields,fieldName)) {\n\t\t\t\tvalue = tiddler.fields[fieldName] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = this.defaultValue || \"\";\n\t\t\t}\n\t\t}\n\t}\n\treturn value;\n};\n\nRangeWidget.prototype.handleInputEvent = function(event) {\n\tif(this.getValue() !== this.inputDomNode.value) {\n\t\tif(this.tiddlerIndex) {\n\t\t\tthis.wiki.setText(this.tiddlerTitle,\"\",this.tiddlerIndex,this.inputDomNode.value);\n\t\t} else {\n\t\t\tthis.wiki.setText(this.tiddlerTitle,this.tiddlerField,null,this.inputDomNode.value);\n\t\t}\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nRangeWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.tiddlerField = this.getAttribute(\"field\");\n\tthis.tiddlerIndex = this.getAttribute(\"index\");\n\tthis.minValue = this.getAttribute(\"min\");\n\tthis.maxValue = this.getAttribute(\"max\");\n\tthis.increment = this.getAttribute(\"increment\");\n\tthis.defaultValue = this.getAttribute(\"default\");\n\tthis.elementClass = this.getAttribute(\"class\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRangeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes['min'] || changedAttributes['max'] || changedAttributes['increment'] || changedAttributes[\"default\"] || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.tiddlerTitle]) {\n\t\t\tvar value = this.getValue();\n\t\t\tif(this.inputDomNode.value !== value) {\n\t\t\t\tthis.inputDomNode.value = value;\t\t\t\t\n\t\t\t}\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.range = RangeWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/raw.js": {
"title": "$:/core/modules/widgets/raw.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/raw.js\ntype: application/javascript\nmodule-type: widget\n\nRaw widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RawWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRawWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRawWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tvar div = this.document.createElement(\"div\");\n\tdiv.innerHTML=this.parseTreeNode.html;\n\tparent.insertBefore(div,nextSibling);\n\tthis.domNodes.push(div);\t\n};\n\n/*\nCompute the internal state of the widget\n*/\nRawWidget.prototype.execute = function() {\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRawWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.raw = RawWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/reveal.js": {
"title": "$:/core/modules/widgets/reveal.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/reveal.js\ntype: application/javascript\nmodule-type: widget\n\nReveal widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RevealWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRevealWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRevealWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.revealTag && $tw.config.htmlUnsafeElements.indexOf(this.revealTag) === -1) {\n\t\ttag = this.revealTag;\n\t}\n\tvar domNode = this.document.createElement(tag);\n\tvar classes = this[\"class\"].split(\" \") || [];\n\tclasses.push(\"tc-reveal\");\n\tdomNode.className = classes.join(\" \");\n\tif(this.style) {\n\t\tdomNode.setAttribute(\"style\",this.style);\n\t}\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tif(!domNode.isTiddlyWikiFakeDom && this.type === \"popup\" && this.isOpen) {\n\t\tthis.positionPopup(domNode);\n\t\t$tw.utils.addClass(domNode,\"tc-popup\"); // Make sure that clicks don't dismiss popups within the revealed content\n\t}\n\tif(!this.isOpen) {\n\t\tdomNode.setAttribute(\"hidden\",\"true\");\n\t}\n\tthis.domNodes.push(domNode);\n};\n\nRevealWidget.prototype.positionPopup = function(domNode) {\n\tdomNode.style.position = \"absolute\";\n\tdomNode.style.zIndex = \"1000\";\n\tvar left,top;\n\tswitch(this.position) {\n\t\tcase \"left\":\n\t\t\tleft = this.popup.left - domNode.offsetWidth;\n\t\t\ttop = this.popup.top;\n\t\t\tbreak;\n\t\tcase \"above\":\n\t\t\tleft = this.popup.left;\n\t\t\ttop = this.popup.top - domNode.offsetHeight;\n\t\t\tbreak;\n\t\tcase \"aboveright\":\n\t\t\tleft = this.popup.left + this.popup.width;\n\t\t\ttop = this.popup.top + this.popup.height - domNode.offsetHeight;\n\t\t\tbreak;\n\t\tcase \"right\":\n\t\t\tleft = this.popup.left + this.popup.width;\n\t\t\ttop = this.popup.top;\n\t\t\tbreak;\n\t\tcase \"belowleft\":\n\t\t\tleft = this.popup.left + this.popup.width - domNode.offsetWidth;\n\t\t\ttop = this.popup.top + this.popup.height;\n\t\t\tbreak;\n\t\tdefault: // Below\n\t\t\tleft = this.popup.left;\n\t\t\ttop = this.popup.top + this.popup.height;\n\t\t\tbreak;\n\t}\n\tif(!this.positionAllowNegative) {\n\t\tleft = Math.max(0,left);\n\t\ttop = Math.max(0,top);\n\t}\n\tdomNode.style.left = left + \"px\";\n\tdomNode.style.top = top + \"px\";\n};\n\n/*\nCompute the internal state of the widget\n*/\nRevealWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.state = this.getAttribute(\"state\");\n\tthis.revealTag = this.getAttribute(\"tag\");\n\tthis.type = this.getAttribute(\"type\");\n\tthis.text = this.getAttribute(\"text\");\n\tthis.position = this.getAttribute(\"position\");\n\tthis.positionAllowNegative = this.getAttribute(\"positionAllowNegative\") === \"yes\";\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tthis.style = this.getAttribute(\"style\",\"\");\n\tthis[\"default\"] = this.getAttribute(\"default\",\"\");\n\tthis.animate = this.getAttribute(\"animate\",\"no\");\n\tthis.retain = this.getAttribute(\"retain\",\"no\");\n\tthis.openAnimation = this.animate === \"no\" ? undefined : \"open\";\n\tthis.closeAnimation = this.animate === \"no\" ? undefined : \"close\";\n\t// Compute the title of the state tiddler and read it\n\tthis.stateTiddlerTitle = this.state;\n\tthis.stateTitle = this.getAttribute(\"stateTitle\");\n\tthis.stateField = this.getAttribute(\"stateField\");\n\tthis.stateIndex = this.getAttribute(\"stateIndex\");\n\tthis.readState();\n\t// Construct the child widgets\n\tvar childNodes = this.isOpen ? this.parseTreeNode.children : [];\n\tthis.hasChildNodes = this.isOpen;\n\tthis.makeChildWidgets(childNodes);\n};\n\n/*\nRead the state tiddler\n*/\nRevealWidget.prototype.readState = function() {\n\t// Read the information from the state tiddler\n\tvar state,\n\t defaultState = this[\"default\"];\n\tif(this.stateTitle) {\n\t\tvar stateTitleTiddler = this.wiki.getTiddler(this.stateTitle);\n\t\tif(this.stateField) {\n\t\t\tstate = stateTitleTiddler ? stateTitleTiddler.getFieldString(this.stateField) || defaultState : defaultState;\n\t\t} else if(this.stateIndex) {\n\t\t\tstate = stateTitleTiddler ? this.wiki.extractTiddlerDataItem(this.stateTitle,this.stateIndex) || defaultState : defaultState;\n\t\t} else if(stateTitleTiddler) {\n\t\t\tstate = this.wiki.getTiddlerText(this.stateTitle) || defaultState;\n\t\t} else {\n\t\t\tstate = defaultState;\n\t\t}\n\t} else {\n\t\tstate = this.stateTiddlerTitle ? this.wiki.getTextReference(this.state,this[\"default\"],this.getVariable(\"currentTiddler\")) : this[\"default\"];\n\t}\n\tif(state === null) {\n\t\tstate = this[\"default\"];\n\t}\n\tswitch(this.type) {\n\t\tcase \"popup\":\n\t\t\tthis.readPopupState(state);\n\t\t\tbreak;\n\t\tcase \"match\":\n\t\t\tthis.isOpen = this.text === state;\n\t\t\tbreak;\n\t\tcase \"nomatch\":\n\t\t\tthis.isOpen = this.text !== state;\n\t\t\tbreak;\n\t\tcase \"lt\":\n\t\t\tthis.isOpen = !!(this.compareStateText(state) < 0);\n\t\t\tbreak;\n\t\tcase \"gt\":\n\t\t\tthis.isOpen = !!(this.compareStateText(state) > 0);\n\t\t\tbreak;\n\t\tcase \"lteq\":\n\t\t\tthis.isOpen = !(this.compareStateText(state) > 0);\n\t\t\tbreak;\n\t\tcase \"gteq\":\n\t\t\tthis.isOpen = !(this.compareStateText(state) < 0);\n\t\t\tbreak;\n\t}\n};\n\nRevealWidget.prototype.compareStateText = function(state) {\n\treturn state.localeCompare(this.text,undefined,{numeric: true,sensitivity: \"case\"});\n};\n\nRevealWidget.prototype.readPopupState = function(state) {\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/,\n\t\tmatch = popupLocationRegExp.exec(state);\n\t// Check if the state matches the location regexp\n\tif(match) {\n\t\t// If so, we're open\n\t\tthis.isOpen = true;\n\t\t// Get the location\n\t\tthis.popup = {\n\t\t\tleft: parseFloat(match[1]),\n\t\t\ttop: parseFloat(match[2]),\n\t\t\twidth: parseFloat(match[3]),\n\t\t\theight: parseFloat(match[4])\n\t\t};\n\t} else {\n\t\t// If not, we're closed\n\t\tthis.isOpen = false;\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRevealWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.state || changedAttributes.type || changedAttributes.text || changedAttributes.position || changedAttributes.positionAllowNegative || changedAttributes[\"default\"] || changedAttributes.animate || changedAttributes.stateTitle || changedAttributes.stateField || changedAttributes.stateIndex) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar currentlyOpen = this.isOpen;\n\t\tthis.readState();\n\t\tif(this.isOpen !== currentlyOpen) {\n\t\t\tif(this.retain === \"yes\") {\n\t\t\t\tthis.updateState();\n\t\t\t} else {\n\t\t\t\tthis.refreshSelf();\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\n/*\nCalled by refresh() to dynamically show or hide the content\n*/\nRevealWidget.prototype.updateState = function() {\n\tvar self = this;\n\t// Read the current state\n\tthis.readState();\n\t// Construct the child nodes if needed\n\tvar domNode = this.domNodes[0];\n\tif(this.isOpen && !this.hasChildNodes) {\n\t\tthis.hasChildNodes = true;\n\t\tthis.makeChildWidgets(this.parseTreeNode.children);\n\t\tthis.renderChildren(domNode,null);\n\t}\n\t// Animate our DOM node\n\tif(!domNode.isTiddlyWikiFakeDom && this.type === \"popup\" && this.isOpen) {\n\t\tthis.positionPopup(domNode);\n\t\t$tw.utils.addClass(domNode,\"tc-popup\"); // Make sure that clicks don't dismiss popups within the revealed content\n\n\t}\n\tif(this.isOpen) {\n\t\tdomNode.removeAttribute(\"hidden\");\n $tw.anim.perform(this.openAnimation,domNode);\n\t} else {\n\t\t$tw.anim.perform(this.closeAnimation,domNode,{callback: function() {\n\t\t\t//make sure that the state hasn't changed during the close animation\n\t\t\tself.readState()\n\t\t\tif(!self.isOpen) {\n\t\t\t\tdomNode.setAttribute(\"hidden\",\"true\");\n\t\t\t}\n\t\t}});\n\t}\n};\n\nexports.reveal = RevealWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/scrollable.js": {
"title": "$:/core/modules/widgets/scrollable.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/scrollable.js\ntype: application/javascript\nmodule-type: widget\n\nScrollable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ScrollableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.scaleFactor = 1;\n\tthis.addEventListeners([\n\t\t{type: \"tm-scroll\", handler: \"handleScrollEvent\"}\n\t]);\n\tif($tw.browser) {\n\t\tthis.requestAnimationFrame = window.requestAnimationFrame ||\n\t\t\twindow.webkitRequestAnimationFrame ||\n\t\t\twindow.mozRequestAnimationFrame ||\n\t\t\tfunction(callback) {\n\t\t\t\treturn window.setTimeout(callback, 1000/60);\n\t\t\t};\n\t\tthis.cancelAnimationFrame = window.cancelAnimationFrame ||\n\t\t\twindow.webkitCancelAnimationFrame ||\n\t\t\twindow.webkitCancelRequestAnimationFrame ||\n\t\t\twindow.mozCancelAnimationFrame ||\n\t\t\twindow.mozCancelRequestAnimationFrame ||\n\t\t\tfunction(id) {\n\t\t\t\twindow.clearTimeout(id);\n\t\t\t};\n\t}\n};\n\n/*\nInherit from the base widget class\n*/\nScrollableWidget.prototype = new Widget();\n\nScrollableWidget.prototype.cancelScroll = function() {\n\tif(this.idRequestFrame) {\n\t\tthis.cancelAnimationFrame.call(window,this.idRequestFrame);\n\t\tthis.idRequestFrame = null;\n\t}\n};\n\n/*\nHandle a scroll event\n*/\nScrollableWidget.prototype.handleScrollEvent = function(event) {\n\t// Pass the scroll event through if our offsetsize is larger than our scrollsize\n\tif(this.outerDomNode.scrollWidth <= this.outerDomNode.offsetWidth && this.outerDomNode.scrollHeight <= this.outerDomNode.offsetHeight && this.fallthrough === \"yes\") {\n\t\treturn true;\n\t}\n\tthis.scrollIntoView(event.target);\n\treturn false; // Handled event\n};\n\n/*\nScroll an element into view\n*/\nScrollableWidget.prototype.scrollIntoView = function(element) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tthis.cancelScroll();\n\tthis.startTime = Date.now();\n\tvar scrollPosition = {\n\t\tx: this.outerDomNode.scrollLeft,\n\t\ty: this.outerDomNode.scrollTop\n\t};\n\t// Get the client bounds of the element and adjust by the scroll position\n\tvar scrollableBounds = this.outerDomNode.getBoundingClientRect(),\n\t\tclientTargetBounds = element.getBoundingClientRect(),\n\t\tbounds = {\n\t\t\tleft: clientTargetBounds.left + scrollPosition.x - scrollableBounds.left,\n\t\t\ttop: clientTargetBounds.top + scrollPosition.y - scrollableBounds.top,\n\t\t\twidth: clientTargetBounds.width,\n\t\t\theight: clientTargetBounds.height\n\t\t};\n\t// We'll consider the horizontal and vertical scroll directions separately via this function\n\tvar getEndPos = function(targetPos,targetSize,currentPos,currentSize) {\n\t\t\t// If the target is already visible then stay where we are\n\t\t\tif(targetPos >= currentPos && (targetPos + targetSize) <= (currentPos + currentSize)) {\n\t\t\t\treturn currentPos;\n\t\t\t// If the target is above/left of the current view, then scroll to its top/left\n\t\t\t} else if(targetPos <= currentPos) {\n\t\t\t\treturn targetPos;\n\t\t\t// If the target is smaller than the window and the scroll position is too far up, then scroll till the target is at the bottom of the window\n\t\t\t} else if(targetSize < currentSize && currentPos < (targetPos + targetSize - currentSize)) {\n\t\t\t\treturn targetPos + targetSize - currentSize;\n\t\t\t// If the target is big, then just scroll to the top\n\t\t\t} else if(currentPos < targetPos) {\n\t\t\t\treturn targetPos;\n\t\t\t// Otherwise, stay where we are\n\t\t\t} else {\n\t\t\t\treturn currentPos;\n\t\t\t}\n\t\t},\n\t\tendX = getEndPos(bounds.left,bounds.width,scrollPosition.x,this.outerDomNode.offsetWidth),\n\t\tendY = getEndPos(bounds.top,bounds.height,scrollPosition.y,this.outerDomNode.offsetHeight);\n\t// Only scroll if necessary\n\tif(endX !== scrollPosition.x || endY !== scrollPosition.y) {\n\t\tvar self = this,\n\t\t\tdrawFrame;\n\t\tdrawFrame = function () {\n\t\t\tvar t;\n\t\t\tif(duration <= 0) {\n\t\t\t\tt = 1;\n\t\t\t} else {\n\t\t\t\tt = ((Date.now()) - self.startTime) / duration;\t\n\t\t\t}\n\t\t\tif(t >= 1) {\n\t\t\t\tself.cancelScroll();\n\t\t\t\tt = 1;\n\t\t\t}\n\t\t\tt = $tw.utils.slowInSlowOut(t);\n\t\t\tself.outerDomNode.scrollLeft = scrollPosition.x + (endX - scrollPosition.x) * t;\n\t\t\tself.outerDomNode.scrollTop = scrollPosition.y + (endY - scrollPosition.y) * t;\n\t\t\tif(t < 1) {\n\t\t\t\tself.idRequestFrame = self.requestAnimationFrame.call(window,drawFrame);\n\t\t\t}\n\t\t};\n\t\tdrawFrame();\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nScrollableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create elements\n\tthis.outerDomNode = this.document.createElement(\"div\");\n\t$tw.utils.setStyle(this.outerDomNode,[\n\t\t{overflowY: \"auto\"},\n\t\t{overflowX: \"auto\"},\n\t\t{webkitOverflowScrolling: \"touch\"}\n\t]);\n\tthis.innerDomNode = this.document.createElement(\"div\");\n\tthis.outerDomNode.appendChild(this.innerDomNode);\n\t// Assign classes\n\tthis.outerDomNode.className = this[\"class\"] || \"\";\n\t// Insert element\n\tparent.insertBefore(this.outerDomNode,nextSibling);\n\tthis.renderChildren(this.innerDomNode,null);\n\tthis.domNodes.push(this.outerDomNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nScrollableWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.fallthrough = this.getAttribute(\"fallthrough\",\"yes\");\n\tthis[\"class\"] = this.getAttribute(\"class\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nScrollableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.scrollable = ScrollableWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/select.js": {
"title": "$:/core/modules/widgets/select.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/select.js\ntype: application/javascript\nmodule-type: widget\n\nSelect widget:\n\n```\n<$select tiddler=\"MyTiddler\" field=\"text\">\n<$list filter=\"[tag[chapter]]\">\n<option value=<<currentTiddler>>>\n<$view field=\"description\"/>\n</option>\n</$list>\n</$select>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SelectWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSelectWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSelectWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n\tthis.setSelectValue();\n\t$tw.utils.addEventListeners(this.getSelectDomNode(),[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n};\n\n/*\nHandle a change event\n*/\nSelectWidget.prototype.handleChangeEvent = function(event) {\n\t// Get the new value and assign it to the tiddler\n\tif(this.selectMultiple == false) {\n\t\tvar value = this.getSelectDomNode().value;\n\t} else {\n\t\tvar value = this.getSelectValues()\n\t\t\t\tvalue = $tw.utils.stringifyList(value);\n\t}\n\tthis.wiki.setText(this.selectTitle,this.selectField,this.selectIndex,value);\n\t// Trigger actions\n\tif(this.selectActions) {\n\t\tthis.invokeActionString(this.selectActions,this,event);\n\t}\n};\n\n/*\nIf necessary, set the value of the select element to the current value\n*/\nSelectWidget.prototype.setSelectValue = function() {\n\tvar value = this.selectDefault;\n\t// Get the value\n\tif(this.selectIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.selectTitle,this.selectIndex,value);\n\t} else {\n\t\tvar tiddler = this.wiki.getTiddler(this.selectTitle);\n\t\tif(tiddler) {\n\t\t\tif(this.selectField === \"text\") {\n\t\t\t\t// Calling getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\tvalue = this.wiki.getTiddlerText(this.selectTitle);\n\t\t\t} else {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.selectField)) {\n\t\t\t\t\tvalue = tiddler.getFieldString(this.selectField);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.selectField === \"title\") {\n\t\t\t\tvalue = this.selectTitle;\n\t\t\t}\n\t\t}\n\t}\n\t// Assign it to the select element if it's different than the current value\n\tif (this.selectMultiple) {\n\t\tvalue = value === undefined ? \"\" : value;\n\t\tvar select = this.getSelectDomNode();\n\t\tvar values = Array.isArray(value) ? value : $tw.utils.parseStringArray(value);\n\t\tfor(var i=0; i < select.children.length; i++){\n\t\t\tselect.children[i].selected = values.indexOf(select.children[i].value) !== -1\n\t\t}\n\t} else {\n\t\tvar domNode = this.getSelectDomNode();\n\t\tif(domNode.value !== value) {\n\t\t\tdomNode.value = value;\n\t\t}\n\t}\n};\n\n/*\nGet the DOM node of the select element\n*/\nSelectWidget.prototype.getSelectDomNode = function() {\n\treturn this.children[0].domNodes[0];\n};\n\n// Return an array of the selected opion values\n// select is an HTML select element\nSelectWidget.prototype.getSelectValues = function() {\n\tvar select, result, options, opt;\n\tselect = this.getSelectDomNode();\n\tresult = [];\n\toptions = select && select.options;\n\tfor (var i=0; i<options.length; i++) {\n\t\topt = options[i];\n\t\tif (opt.selected) {\n\t\t\tresult.push(opt.value || opt.text);\n\t\t}\n\t}\n\treturn result;\n}\n\n/*\nCompute the internal state of the widget\n*/\nSelectWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.selectActions = this.getAttribute(\"actions\");\n\tthis.selectTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.selectField = this.getAttribute(\"field\",\"text\");\n\tthis.selectIndex = this.getAttribute(\"index\");\n\tthis.selectClass = this.getAttribute(\"class\");\n\tthis.selectDefault = this.getAttribute(\"default\");\n\tthis.selectMultiple = this.getAttribute(\"multiple\", false);\n\tthis.selectSize = this.getAttribute(\"size\");\n\tthis.selectTooltip = this.getAttribute(\"tooltip\");\n\t// Make the child widgets\n\tvar selectNode = {\n\t\ttype: \"element\",\n\t\ttag: \"select\",\n\t\tchildren: this.parseTreeNode.children\n\t};\n\tif(this.selectClass) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"class\",this.selectClass);\n\t}\n\tif(this.selectMultiple) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"multiple\",\"multiple\");\n\t}\n\tif(this.selectSize) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"size\",this.selectSize);\n\t}\n\tif(this.selectTooltip) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"title\",this.selectTooltip);\n\t}\n\tthis.makeChildWidgets([selectNode]);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nSelectWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// If we're using a different tiddler/field/index then completely refresh ourselves\n\tif(changedAttributes.selectTitle || changedAttributes.selectField || changedAttributes.selectIndex || changedAttributes.selectTooltip) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t// If the target tiddler value has changed, just update setting and refresh the children\n\t} else {\n\t\tvar childrenRefreshed = this.refreshChildren(changedTiddlers);\n\t\tif(changedTiddlers[this.selectTitle] || childrenRefreshed) {\n\t\t\tthis.setSelectValue();\n\t\t} \n\t\treturn childrenRefreshed;\n\t}\n};\n\nexports.select = SelectWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/set.js": {
"title": "$:/core/modules/widgets/set.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/set.js\ntype: application/javascript\nmodule-type: widget\n\nSet variable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.setName = this.getAttribute(\"name\",\"currentTiddler\");\n\tthis.setFilter = this.getAttribute(\"filter\");\n\tthis.setSelect = this.getAttribute(\"select\");\n\tthis.setTiddler = this.getAttribute(\"tiddler\");\n\tthis.setSubTiddler = this.getAttribute(\"subtiddler\");\n\tthis.setField = this.getAttribute(\"field\");\n\tthis.setIndex = this.getAttribute(\"index\");\n\tthis.setValue = this.getAttribute(\"value\");\n\tthis.setEmptyValue = this.getAttribute(\"emptyValue\");\n\t// Set context variable\n\tthis.setVariable(this.setName,this.getValue(),this.parseTreeNode.params,!!this.parseTreeNode.isMacroDefinition);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nGet the value to be assigned\n*/\nSetWidget.prototype.getValue = function() {\n\tvar value = this.setValue;\n\tif(this.setTiddler) {\n\t\tvar tiddler;\n\t\tif(this.setSubTiddler) {\n\t\t\ttiddler = this.wiki.getSubTiddler(this.setTiddler,this.setSubTiddler);\n\t\t} else {\n\t\t\ttiddler = this.wiki.getTiddler(this.setTiddler);\t\t\t\n\t\t}\n\t\tif(!tiddler) {\n\t\t\tvalue = this.setEmptyValue;\n\t\t} else if(this.setField) {\n\t\t\tvalue = tiddler.getFieldString(this.setField) || this.setEmptyValue;\n\t\t} else if(this.setIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(this.setTiddler,this.setIndex,this.setEmptyValue);\n\t\t} else {\n\t\t\tvalue = tiddler.fields.text || this.setEmptyValue ;\n\t\t}\n\t} else if(this.setFilter) {\n\t\tvar results = this.wiki.filterTiddlers(this.setFilter,this);\n\t\tif(this.setValue == null) {\n\t\t\tvar select;\n\t\t\tif(this.setSelect) {\n\t\t\t\tselect = parseInt(this.setSelect,10);\n\t\t\t}\n\t\t\tif(select !== undefined) {\n\t\t\t\tvalue = results[select] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = $tw.utils.stringifyList(results);\t\t\t\n\t\t\t}\n\t\t}\n\t\tif(results.length === 0 && this.setEmptyValue !== undefined) {\n\t\t\tvalue = this.setEmptyValue;\n\t\t}\n\t} else if(!value && this.setEmptyValue) {\n\t\tvalue = this.setEmptyValue;\n\t}\n\treturn value || \"\";\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nSetWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name || changedAttributes.filter || changedAttributes.select || changedAttributes.tiddler || (this.setTiddler && changedTiddlers[this.setTiddler]) || changedAttributes.field || changedAttributes.index || changedAttributes.value || changedAttributes.emptyValue ||\n\t (this.setFilter && this.getValue() != this.variables[this.setName].value)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.setvariable = SetWidget;\nexports.set = SetWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/text.js": {
"title": "$:/core/modules/widgets/text.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/text.js\ntype: application/javascript\nmodule-type: widget\n\nText node widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TextNodeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTextNodeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTextNodeWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar text = this.getAttribute(\"text\",this.parseTreeNode.text || \"\");\n\ttext = text.replace(/\\r/mg,\"\");\n\tvar textNode = this.document.createTextNode(text);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTextNodeWidget.prototype.execute = function() {\n\t// Nothing to do for a text node\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTextNodeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.text) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.text = TextNodeWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/tiddler.js": {
"title": "$:/core/modules/widgets/tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/tiddler.js\ntype: application/javascript\nmodule-type: widget\n\nTiddler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTiddlerWidget.prototype.execute = function() {\n\tthis.tiddlerState = this.computeTiddlerState();\n\tthis.setVariable(\"currentTiddler\",this.tiddlerState.currentTiddler);\n\tthis.setVariable(\"missingTiddlerClass\",this.tiddlerState.missingTiddlerClass);\n\tthis.setVariable(\"shadowTiddlerClass\",this.tiddlerState.shadowTiddlerClass);\n\tthis.setVariable(\"systemTiddlerClass\",this.tiddlerState.systemTiddlerClass);\n\tthis.setVariable(\"tiddlerTagClasses\",this.tiddlerState.tiddlerTagClasses);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nCompute the tiddler state flags\n*/\nTiddlerWidget.prototype.computeTiddlerState = function() {\n\t// Get our parameters\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Compute the state\n\tvar state = {\n\t\tcurrentTiddler: this.tiddlerTitle || \"\",\n\t\tmissingTiddlerClass: (this.wiki.tiddlerExists(this.tiddlerTitle) || this.wiki.isShadowTiddler(this.tiddlerTitle)) ? \"tc-tiddler-exists\" : \"tc-tiddler-missing\",\n\t\tshadowTiddlerClass: this.wiki.isShadowTiddler(this.tiddlerTitle) ? \"tc-tiddler-shadow\" : \"\",\n\t\tsystemTiddlerClass: this.wiki.isSystemTiddler(this.tiddlerTitle) ? \"tc-tiddler-system\" : \"\",\n\t\ttiddlerTagClasses: this.getTagClasses()\n\t};\n\t// Compute a simple hash to make it easier to detect changes\n\tstate.hash = state.currentTiddler + state.missingTiddlerClass + state.shadowTiddlerClass + state.systemTiddlerClass + state.tiddlerTagClasses;\n\treturn state;\n};\n\n/*\nCreate a string of CSS classes derived from the tags of the current tiddler\n*/\nTiddlerWidget.prototype.getTagClasses = function() {\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle);\n\tif(tiddler) {\n\t\tvar tags = [];\n\t\t$tw.utils.each(tiddler.fields.tags,function(tag) {\n\t\t\ttags.push(\"tc-tagged-\" + encodeURIComponent(tag));\n\t\t});\n\t\treturn tags.join(\" \");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tnewTiddlerState = this.computeTiddlerState();\n\tif(changedAttributes.tiddler || newTiddlerState.hash !== this.tiddlerState.hash) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.tiddler = TiddlerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/transclude.js": {
"title": "$:/core/modules/widgets/transclude.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/transclude.js\ntype: application/javascript\nmodule-type: widget\n\nTransclude widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TranscludeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTranscludeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTranscludeWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTranscludeWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.transcludeTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.transcludeSubTiddler = this.getAttribute(\"subtiddler\");\n\tthis.transcludeField = this.getAttribute(\"field\");\n\tthis.transcludeIndex = this.getAttribute(\"index\");\n\tthis.transcludeMode = this.getAttribute(\"mode\");\n\t// Parse the text reference\n\tvar parseAsInline = !this.parseTreeNode.isBlock;\n\tif(this.transcludeMode === \"inline\") {\n\t\tparseAsInline = true;\n\t} else if(this.transcludeMode === \"block\") {\n\t\tparseAsInline = false;\n\t}\n\tvar parser = this.wiki.parseTextReference(\n\t\t\t\t\t\tthis.transcludeTitle,\n\t\t\t\t\t\tthis.transcludeField,\n\t\t\t\t\t\tthis.transcludeIndex,\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tparseAsInline: parseAsInline,\n\t\t\t\t\t\t\tsubTiddler: this.transcludeSubTiddler\n\t\t\t\t\t\t}),\n\t\tparseTreeNodes = parser ? parser.tree : this.parseTreeNode.children;\n\t// Set context variables for recursion detection\n\tvar recursionMarker = this.makeRecursionMarker();\n\tthis.setVariable(\"transclusion\",recursionMarker);\n\t// Check for recursion\n\tif(parser) {\n\t\tif(this.parentWidget && this.parentWidget.hasVariable(\"transclusion\",recursionMarker)) {\n\t\t\tparseTreeNodes = [{type: \"element\", tag: \"span\", attributes: {\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-error\"}\n\t\t\t}, children: [\n\t\t\t\t{type: \"text\", text: $tw.language.getString(\"Error/RecursiveTransclusion\")}\n\t\t\t]}];\n\t\t}\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nCompose a string comprising the title, field and/or index to identify this transclusion for recursion detection\n*/\nTranscludeWidget.prototype.makeRecursionMarker = function() {\n\tvar output = [];\n\toutput.push(\"{\");\n\toutput.push(this.getVariable(\"currentTiddler\",{defaultValue: \"\"}));\n\toutput.push(\"|\");\n\toutput.push(this.transcludeTitle || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeField || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeIndex || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeSubTiddler || \"\");\n\toutput.push(\"}\");\n\treturn output.join(\"\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTranscludeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedTiddlers[this.transcludeTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.transclude = TranscludeWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/vars.js": {
"title": "$:/core/modules/widgets/vars.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/vars.js\ntype: application/javascript\nmodule-type: widget\n\nThis widget allows multiple variables to be set in one go:\n\n```\n\\define helloworld() Hello world!\n<$vars greeting=\"Hi\" me={{!!title}} sentence=<<helloworld>>>\n <<greeting>>! I am <<me>> and I say: <<sentence>>\n</$vars>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar VarsWidget = function(parseTreeNode,options) {\n\t// Call the constructor\n\tWidget.call(this);\n\t// Initialise\t\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nVarsWidget.prototype = Object.create(Widget.prototype);\n\n/*\nRender this widget into the DOM\n*/\nVarsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nVarsWidget.prototype.execute = function() {\n\t// Parse variables\n\tvar self = this;\n\t$tw.utils.each(this.attributes,function(val,key) {\n\t\tif(key.charAt(0) !== \"$\") {\n\t\t\tself.setVariable(key,val);\n\t\t}\n\t});\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nVarsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(Object.keys(changedAttributes).length) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"vars\"] = VarsWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/view.js": {
"title": "$:/core/modules/widgets/view.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/view.js\ntype: application/javascript\nmodule-type: widget\n\nView widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ViewWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nViewWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nViewWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tif(this.text) {\n\t\tvar textNode = this.document.createTextNode(this.text);\n\t\tparent.insertBefore(textNode,nextSibling);\n\t\tthis.domNodes.push(textNode);\n\t} else {\n\t\tthis.makeChildWidgets();\n\t\tthis.renderChildren(parent,nextSibling);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nViewWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.viewTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.viewSubtiddler = this.getAttribute(\"subtiddler\");\n\tthis.viewField = this.getAttribute(\"field\",\"text\");\n\tthis.viewIndex = this.getAttribute(\"index\");\n\tthis.viewFormat = this.getAttribute(\"format\",\"text\");\n\tthis.viewTemplate = this.getAttribute(\"template\",\"\");\n\tthis.viewMode = this.getAttribute(\"mode\",\"block\");\n\tswitch(this.viewFormat) {\n\t\tcase \"htmlwikified\":\n\t\t\tthis.text = this.getValueAsHtmlWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"plainwikified\":\n\t\t\tthis.text = this.getValueAsPlainWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"htmlencodedplainwikified\":\n\t\t\tthis.text = this.getValueAsHtmlEncodedPlainWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"htmlencoded\":\n\t\t\tthis.text = this.getValueAsHtmlEncoded();\n\t\t\tbreak;\n\t\tcase \"urlencoded\":\n\t\t\tthis.text = this.getValueAsUrlEncoded();\n\t\t\tbreak;\n\t\tcase \"doubleurlencoded\":\n\t\t\tthis.text = this.getValueAsDoubleUrlEncoded();\n\t\t\tbreak;\n\t\tcase \"date\":\n\t\t\tthis.text = this.getValueAsDate(this.viewTemplate);\n\t\t\tbreak;\n\t\tcase \"relativedate\":\n\t\t\tthis.text = this.getValueAsRelativeDate();\n\t\t\tbreak;\n\t\tcase \"stripcomments\":\n\t\t\tthis.text = this.getValueAsStrippedComments();\n\t\t\tbreak;\n\t\tcase \"jsencoded\":\n\t\t\tthis.text = this.getValueAsJsEncoded();\n\t\t\tbreak;\n\t\tdefault: // \"text\"\n\t\t\tthis.text = this.getValueAsText();\n\t\t\tbreak;\n\t}\n};\n\n/*\nThe various formatter functions are baked into this widget for the moment. Eventually they will be replaced by macro functions\n*/\n\n/*\nRetrieve the value of the widget. Options are:\nasString: Optionally return the value as a string\n*/\nViewWidget.prototype.getValue = function(options) {\n\toptions = options || {};\n\tvar value = options.asString ? \"\" : undefined;\n\tif(this.viewIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.viewTitle,this.viewIndex);\n\t} else {\n\t\tvar tiddler;\n\t\tif(this.viewSubtiddler) {\n\t\t\ttiddler = this.wiki.getSubTiddler(this.viewTitle,this.viewSubtiddler);\t\n\t\t} else {\n\t\t\ttiddler = this.wiki.getTiddler(this.viewTitle);\n\t\t}\n\t\tif(tiddler) {\n\t\t\tif(this.viewField === \"text\" && !this.viewSubtiddler) {\n\t\t\t\t// Calling getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\tvalue = this.wiki.getTiddlerText(this.viewTitle);\n\t\t\t} else {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.viewField)) {\n\t\t\t\t\tif(options.asString) {\n\t\t\t\t\t\tvalue = tiddler.getFieldString(this.viewField);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvalue = tiddler.fields[this.viewField];\t\t\t\t\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.viewField === \"title\") {\n\t\t\t\tvalue = this.viewTitle;\n\t\t\t}\n\t\t}\n\t}\n\treturn value;\n};\n\nViewWidget.prototype.getValueAsText = function() {\n\treturn this.getValue({asString: true});\n};\n\nViewWidget.prototype.getValueAsHtmlWikified = function(mode) {\n\treturn this.wiki.renderText(\"text/html\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t});\n};\n\nViewWidget.prototype.getValueAsPlainWikified = function(mode) {\n\treturn this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t});\n};\n\nViewWidget.prototype.getValueAsHtmlEncodedPlainWikified = function(mode) {\n\treturn $tw.utils.htmlEncode(this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t}));\n};\n\nViewWidget.prototype.getValueAsHtmlEncoded = function() {\n\treturn $tw.utils.htmlEncode(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsUrlEncoded = function() {\n\treturn encodeURIComponent(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsDoubleUrlEncoded = function() {\n\treturn encodeURIComponent(encodeURIComponent(this.getValueAsText()));\n};\n\nViewWidget.prototype.getValueAsDate = function(format) {\n\tformat = format || \"YYYY MM DD 0hh:0mm\";\n\tvar value = $tw.utils.parseDate(this.getValue());\n\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\treturn $tw.utils.formatDateString(value,format);\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\nViewWidget.prototype.getValueAsRelativeDate = function(format) {\n\tvar value = $tw.utils.parseDate(this.getValue());\n\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\treturn $tw.utils.getRelativeDate((new Date()) - (new Date(value))).description;\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\nViewWidget.prototype.getValueAsStrippedComments = function() {\n\tvar lines = this.getValueAsText().split(\"\\n\"),\n\t\tout = [];\n\tfor(var line=0; line<lines.length; line++) {\n\t\tvar text = lines[line];\n\t\tif(!/^\\s*\\/\\/#/.test(text)) {\n\t\t\tout.push(text);\n\t\t}\n\t}\n\treturn out.join(\"\\n\");\n};\n\nViewWidget.prototype.getValueAsJsEncoded = function() {\n\treturn $tw.utils.stringify(this.getValueAsText());\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nViewWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.template || changedAttributes.format || changedTiddlers[this.viewTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.view = ViewWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/widget.js": {
"title": "$:/core/modules/widgets/widget.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/widget.js\ntype: application/javascript\nmodule-type: widget\n\nWidget base class\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreate a widget object for a parse tree node\n\tparseTreeNode: reference to the parse tree node to be rendered\n\toptions: see below\nOptions include:\n\twiki: mandatory reference to wiki associated with this render tree\n\tparentWidget: optional reference to a parent renderer node for the context chain\n\tdocument: optional document object to use instead of global document\n*/\nvar Widget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInitialise widget properties. These steps are pulled out of the constructor so that we can reuse them in subclasses\n*/\nWidget.prototype.initialise = function(parseTreeNode,options) {\n\t// Bail if parseTreeNode is undefined, meaning that the widget constructor was called without any arguments so that it can be subclassed\n\tif(parseTreeNode === undefined) {\n\t\treturn;\n\t}\n\toptions = options || {};\n\t// Save widget info\n\tthis.parseTreeNode = parseTreeNode;\n\tthis.wiki = options.wiki;\n\tthis.parentWidget = options.parentWidget;\n\tthis.variablesConstructor = function() {};\n\tthis.variablesConstructor.prototype = this.parentWidget ? this.parentWidget.variables : {};\n\tthis.variables = new this.variablesConstructor();\n\tthis.document = options.document;\n\tthis.attributes = {};\n\tthis.children = [];\n\tthis.domNodes = [];\n\tthis.eventListeners = {};\n\t// Hashmap of the widget classes\n\tif(!this.widgetClasses) {\n\t\t// Get widget classes\n\t\tWidget.prototype.widgetClasses = $tw.modules.applyMethods(\"widget\");\n\t\t// Process any subclasses\n\t\t$tw.modules.forEachModuleOfType(\"widget-subclass\",function(title,module) {\n\t\t\tif(module.baseClass) {\n\t\t\t\tvar baseClass = Widget.prototype.widgetClasses[module.baseClass];\n\t\t\t\tif(!baseClass) {\n\t\t\t\t\tthrow \"Module '\" + title + \"' is attemping to extend a non-existent base class '\" + module.baseClass + \"'\";\n\t\t\t\t}\n\t\t\t\tvar subClass = module.constructor;\n\t\t\t\tsubClass.prototype = new baseClass();\n\t\t\t\t$tw.utils.extend(subClass.prototype,module.prototype);\n\t\t\t\tWidget.prototype.widgetClasses[module.name || module.baseClass] = subClass;\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nWidget.prototype.execute = function() {\n\tthis.makeChildWidgets();\n};\n\n/*\nSet the value of a context variable\nname: name of the variable\nvalue: value of the variable\nparams: array of {name:, default:} for each parameter\nisMacroDefinition: true if the variable is set via a \\define macro pragma (and hence should have variable substitution performed)\n*/\nWidget.prototype.setVariable = function(name,value,params,isMacroDefinition) {\n\tthis.variables[name] = {value: value, params: params, isMacroDefinition: !!isMacroDefinition};\n};\n\n/*\nGet the prevailing value of a context variable\nname: name of variable\noptions: see below\nOptions include\nparams: array of {name:, value:} for each parameter\ndefaultValue: default value if the variable is not defined\n\nReturns an object with the following fields:\n\nparams: array of {name:,value:} of parameters passed to wikitext variables\ntext: text of variable, with parameters properly substituted\n*/\nWidget.prototype.getVariableInfo = function(name,options) {\n\toptions = options || {};\n\tvar actualParams = options.params || [],\n\t\tparentWidget = this.parentWidget;\n\t// Check for the variable defined in the parent widget (or an ancestor in the prototype chain)\n\tif(parentWidget && name in parentWidget.variables) {\n\t\tvar variable = parentWidget.variables[name],\n\t\t\tvalue = variable.value,\n\t\t\tparams = this.resolveVariableParameters(variable.params,actualParams);\n\t\t// Substitute any parameters specified in the definition\n\t\t$tw.utils.each(params,function(param) {\n\t\t\tvalue = $tw.utils.replaceString(value,new RegExp(\"\\\\$\" + $tw.utils.escapeRegExp(param.name) + \"\\\\$\",\"mg\"),param.value);\n\t\t});\n\t\t// Only substitute variable references if this variable was defined with the \\define pragma\n\t\tif(variable.isMacroDefinition) {\n\t\t\tvalue = this.substituteVariableReferences(value);\t\t\t\n\t\t}\n\t\treturn {\n\t\t\ttext: value,\n\t\t\tparams: params\n\t\t};\n\t}\n\t// If the variable doesn't exist in the parent widget then look for a macro module\n\treturn {\n\t\ttext: this.evaluateMacroModule(name,actualParams,options.defaultValue)\n\t};\n};\n\n/*\nSimplified version of getVariableInfo() that just returns the text\n*/\nWidget.prototype.getVariable = function(name,options) {\n\treturn this.getVariableInfo(name,options).text;\n};\n\nWidget.prototype.resolveVariableParameters = function(formalParams,actualParams) {\n\tformalParams = formalParams || [];\n\tactualParams = actualParams || [];\n\tvar nextAnonParameter = 0, // Next candidate anonymous parameter in macro call\n\t\tparamInfo, paramValue,\n\t\tresults = [];\n\t// Step through each of the parameters in the macro definition\n\tfor(var p=0; p<formalParams.length; p++) {\n\t\t// Check if we've got a macro call parameter with the same name\n\t\tparamInfo = formalParams[p];\n\t\tparamValue = undefined;\n\t\tfor(var m=0; m<actualParams.length; m++) {\n\t\t\tif(actualParams[m].name === paramInfo.name) {\n\t\t\t\tparamValue = actualParams[m].value;\n\t\t\t}\n\t\t}\n\t\t// If not, use the next available anonymous macro call parameter\n\t\twhile(nextAnonParameter < actualParams.length && actualParams[nextAnonParameter].name) {\n\t\t\tnextAnonParameter++;\n\t\t}\n\t\tif(paramValue === undefined && nextAnonParameter < actualParams.length) {\n\t\t\tparamValue = actualParams[nextAnonParameter++].value;\n\t\t}\n\t\t// If we've still not got a value, use the default, if any\n\t\tparamValue = paramValue || paramInfo[\"default\"] || \"\";\n\t\t// Store the parameter name and value\n\t\tresults.push({name: paramInfo.name, value: paramValue});\n\t}\n\treturn results;\n};\n\nWidget.prototype.substituteVariableReferences = function(text) {\n\tvar self = this;\n\treturn (text || \"\").replace(/\\$\\(([^\\)\\$]+)\\)\\$/g,function(match,p1,offset,string) {\n\t\treturn self.getVariable(p1,{defaultValue: \"\"});\n\t});\n};\n\nWidget.prototype.evaluateMacroModule = function(name,actualParams,defaultValue) {\n\tif($tw.utils.hop($tw.macros,name)) {\n\t\tvar macro = $tw.macros[name],\n\t\t\targs = [];\n\t\tif(macro.params.length > 0) {\n\t\t\tvar nextAnonParameter = 0, // Next candidate anonymous parameter in macro call\n\t\t\t\tparamInfo, paramValue;\n\t\t\t// Step through each of the parameters in the macro definition\n\t\t\tfor(var p=0; p<macro.params.length; p++) {\n\t\t\t\t// Check if we've got a macro call parameter with the same name\n\t\t\t\tparamInfo = macro.params[p];\n\t\t\t\tparamValue = undefined;\n\t\t\t\tfor(var m=0; m<actualParams.length; m++) {\n\t\t\t\t\tif(actualParams[m].name === paramInfo.name) {\n\t\t\t\t\t\tparamValue = actualParams[m].value;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// If not, use the next available anonymous macro call parameter\n\t\t\t\twhile(nextAnonParameter < actualParams.length && actualParams[nextAnonParameter].name) {\n\t\t\t\t\tnextAnonParameter++;\n\t\t\t\t}\n\t\t\t\tif(paramValue === undefined && nextAnonParameter < actualParams.length) {\n\t\t\t\t\tparamValue = actualParams[nextAnonParameter++].value;\n\t\t\t\t}\n\t\t\t\t// If we've still not got a value, use the default, if any\n\t\t\t\tparamValue = paramValue || paramInfo[\"default\"] || \"\";\n\t\t\t\t// Save the parameter\n\t\t\t\targs.push(paramValue);\n\t\t\t}\n\t\t}\n\t\telse for(var i=0; i<actualParams.length; ++i) {\n\t\t\targs.push(actualParams[i].value);\n\t\t}\n\t\treturn (macro.run.apply(this,args) || \"\").toString();\n\t} else {\n\t\treturn defaultValue;\n\t}\n};\n\n/*\nCheck whether a given context variable value exists in the parent chain\n*/\nWidget.prototype.hasVariable = function(name,value) {\n\tvar node = this;\n\twhile(node) {\n\t\tif($tw.utils.hop(node.variables,name) && node.variables[name].value === value) {\n\t\t\treturn true;\n\t\t}\n\t\tnode = node.parentWidget;\n\t}\n\treturn false;\n};\n\n/*\nConstruct a qualifying string based on a hash of concatenating the values of a given variable in the parent chain\n*/\nWidget.prototype.getStateQualifier = function(name) {\n\tthis.qualifiers = this.qualifiers || Object.create(null);\n\tname = name || \"transclusion\";\n\tif(this.qualifiers[name]) {\n\t\treturn this.qualifiers[name];\n\t} else {\n\t\tvar output = [],\n\t\t\tnode = this;\n\t\twhile(node && node.parentWidget) {\n\t\t\tif($tw.utils.hop(node.parentWidget.variables,name)) {\n\t\t\t\toutput.push(node.getVariable(name));\n\t\t\t}\n\t\t\tnode = node.parentWidget;\n\t\t}\n\t\tvar value = $tw.utils.hashString(output.join(\"\"));\n\t\tthis.qualifiers[name] = value;\n\t\treturn value;\n\t}\n};\n\n/*\nCompute the current values of the attributes of the widget. Returns a hashmap of the names of the attributes that have changed\n*/\nWidget.prototype.computeAttributes = function() {\n\tvar changedAttributes = {},\n\t\tself = this,\n\t\tvalue;\n\t$tw.utils.each(this.parseTreeNode.attributes,function(attribute,name) {\n\t\tif(attribute.type === \"filtered\") {\n\t\t\tvalue = self.wiki.filterTiddlers(attribute.filter,self)[0] || \"\";\n\t\t} else if(attribute.type === \"indirect\") {\n\t\t\tvalue = self.wiki.getTextReference(attribute.textReference,\"\",self.getVariable(\"currentTiddler\"));\n\t\t} else if(attribute.type === \"macro\") {\n\t\t\tvalue = self.getVariable(attribute.value.name,{params: attribute.value.params});\n\t\t} else { // String attribute\n\t\t\tvalue = attribute.value;\n\t\t}\n\t\t// Check whether the attribute has changed\n\t\tif(self.attributes[name] !== value) {\n\t\t\tself.attributes[name] = value;\n\t\t\tchangedAttributes[name] = true;\n\t\t}\n\t});\n\treturn changedAttributes;\n};\n\n/*\nCheck for the presence of an attribute\n*/\nWidget.prototype.hasAttribute = function(name) {\n\treturn $tw.utils.hop(this.attributes,name);\n};\n\n/*\nGet the value of an attribute\n*/\nWidget.prototype.getAttribute = function(name,defaultText) {\n\tif($tw.utils.hop(this.attributes,name)) {\n\t\treturn this.attributes[name];\n\t} else {\n\t\treturn defaultText;\n\t}\n};\n\n/*\nAssign the computed attributes of the widget to a domNode\noptions include:\nexcludeEventAttributes: ignores attributes whose name begins with \"on\"\n*/\nWidget.prototype.assignAttributes = function(domNode,options) {\n\toptions = options || {};\n\tvar self = this;\n\t$tw.utils.each(this.attributes,function(v,a) {\n\t\t// Check exclusions\n\t\tif(options.excludeEventAttributes && a.substr(0,2) === \"on\") {\n\t\t\tv = undefined;\n\t\t}\n\t\tif(v !== undefined) {\n\t\t\tvar b = a.split(\":\");\n\t\t\t// Setting certain attributes can cause a DOM error (eg xmlns on the svg element)\n\t\t\ttry {\n\t\t\t\tif (b.length == 2 && b[0] == \"xlink\"){\n\t\t\t\t\tdomNode.setAttributeNS(\"http://www.w3.org/1999/xlink\",b[1],v);\n\t\t\t\t} else {\n\t\t\t\t\tdomNode.setAttributeNS(null,a,v);\n\t\t\t\t}\n\t\t\t} catch(e) {\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nMake child widgets correspondng to specified parseTreeNodes\n*/\nWidget.prototype.makeChildWidgets = function(parseTreeNodes) {\n\tthis.children = [];\n\tvar self = this;\n\t$tw.utils.each(parseTreeNodes || (this.parseTreeNode && this.parseTreeNode.children),function(childNode) {\n\t\tself.children.push(self.makeChildWidget(childNode));\n\t});\n};\n\n/*\nConstruct the widget object for a parse tree node\n*/\nWidget.prototype.makeChildWidget = function(parseTreeNode) {\n\tvar WidgetClass = this.widgetClasses[parseTreeNode.type];\n\tif(!WidgetClass) {\n\t\tWidgetClass = this.widgetClasses.text;\n\t\tparseTreeNode = {type: \"text\", text: \"Undefined widget '\" + parseTreeNode.type + \"'\"};\n\t}\n\treturn new WidgetClass(parseTreeNode,{\n\t\twiki: this.wiki,\n\t\tvariables: {},\n\t\tparentWidget: this,\n\t\tdocument: this.document\n\t});\n};\n\n/*\nGet the next sibling of this widget\n*/\nWidget.prototype.nextSibling = function() {\n\tif(this.parentWidget) {\n\t\tvar index = this.parentWidget.children.indexOf(this);\n\t\tif(index !== -1 && index < this.parentWidget.children.length-1) {\n\t\t\treturn this.parentWidget.children[index+1];\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nGet the previous sibling of this widget\n*/\nWidget.prototype.previousSibling = function() {\n\tif(this.parentWidget) {\n\t\tvar index = this.parentWidget.children.indexOf(this);\n\t\tif(index !== -1 && index > 0) {\n\t\t\treturn this.parentWidget.children[index-1];\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRender the children of this widget into the DOM\n*/\nWidget.prototype.renderChildren = function(parent,nextSibling) {\n\tvar children = this.children;\n\tfor(var i = 0; i < children.length; i++) {\n\t\tchildren[i].render(parent,nextSibling);\n\t};\n};\n\n/*\nAdd a list of event listeners from an array [{type:,handler:},...]\n*/\nWidget.prototype.addEventListeners = function(listeners) {\n\tvar self = this;\n\t$tw.utils.each(listeners,function(listenerInfo) {\n\t\tself.addEventListener(listenerInfo.type,listenerInfo.handler);\n\t});\n};\n\n/*\nAdd an event listener\n*/\nWidget.prototype.addEventListener = function(type,handler) {\n\tvar self = this;\n\tif(typeof handler === \"string\") { // The handler is a method name on this widget\n\t\tthis.eventListeners[type] = function(event) {\n\t\t\treturn self[handler].call(self,event);\n\t\t};\n\t} else { // The handler is a function\n\t\tthis.eventListeners[type] = function(event) {\n\t\t\treturn handler.call(self,event);\n\t\t};\n\t}\n};\n\n/*\nDispatch an event to a widget. If the widget doesn't handle the event then it is also dispatched to the parent widget\n*/\nWidget.prototype.dispatchEvent = function(event) {\n\t// Dispatch the event if this widget handles it\n\tvar listener = this.eventListeners[event.type];\n\tif(listener) {\n\t\t// Don't propagate the event if the listener returned false\n\t\tif(!listener(event)) {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Dispatch the event to the parent widget\n\tif(this.parentWidget) {\n\t\treturn this.parentWidget.dispatchEvent(event);\n\t}\n\treturn true;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nRebuild a previously rendered widget\n*/\nWidget.prototype.refreshSelf = function() {\n\tvar nextSibling = this.findNextSiblingDomNode();\n\tthis.removeChildDomNodes();\n\tthis.render(this.parentDomNode,nextSibling);\n};\n\n/*\nRefresh all the children of a widget\n*/\nWidget.prototype.refreshChildren = function(changedTiddlers) {\n\tvar children = this.children,\n\t\trefreshed = false;\n\tfor (var i = 0; i < children.length; i++) {\n\t\trefreshed = children[i].refresh(changedTiddlers) || refreshed;\n\t}\n\treturn refreshed;\n};\n\n/*\nFind the next sibling in the DOM to this widget. This is done by scanning the widget tree through all next siblings and their descendents that share the same parent DOM node\n*/\nWidget.prototype.findNextSiblingDomNode = function(startIndex) {\n\t// Refer to this widget by its index within its parents children\n\tvar parent = this.parentWidget,\n\t\tindex = startIndex !== undefined ? startIndex : parent.children.indexOf(this);\nif(index === -1) {\n\tthrow \"node not found in parents children\";\n}\n\t// Look for a DOM node in the later siblings\n\twhile(++index < parent.children.length) {\n\t\tvar domNode = parent.children[index].findFirstDomNode();\n\t\tif(domNode) {\n\t\t\treturn domNode;\n\t\t}\n\t}\n\t// Go back and look for later siblings of our parent if it has the same parent dom node\n\tvar grandParent = parent.parentWidget;\n\tif(grandParent && parent.parentDomNode === this.parentDomNode) {\n\t\tindex = grandParent.children.indexOf(parent);\n\t\tif(index !== -1) {\n\t\t\treturn parent.findNextSiblingDomNode(index);\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nFind the first DOM node generated by a widget or its children\n*/\nWidget.prototype.findFirstDomNode = function() {\n\t// Return the first dom node of this widget, if we've got one\n\tif(this.domNodes.length > 0) {\n\t\treturn this.domNodes[0];\n\t}\n\t// Otherwise, recursively call our children\n\tfor(var t=0; t<this.children.length; t++) {\n\t\tvar domNode = this.children[t].findFirstDomNode();\n\t\tif(domNode) {\n\t\t\treturn domNode;\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRemove any DOM nodes created by this widget or its children\n*/\nWidget.prototype.removeChildDomNodes = function() {\n\t// If this widget has directly created DOM nodes, delete them and exit. This assumes that any child widgets are contained within the created DOM nodes, which would normally be the case\n\tif(this.domNodes.length > 0) {\n\t\t$tw.utils.each(this.domNodes,function(domNode) {\n\t\t\tdomNode.parentNode.removeChild(domNode);\n\t\t});\n\t\tthis.domNodes = [];\n\t} else {\n\t\t// Otherwise, ask the child widgets to delete their DOM nodes\n\t\t$tw.utils.each(this.children,function(childWidget) {\n\t\t\tchildWidget.removeChildDomNodes();\n\t\t});\n\t}\n};\n\n/*\nInvoke the action widgets that are descendents of the current widget.\n*/\nWidget.prototype.invokeActions = function(triggeringWidget,event) {\n\tvar handled = false;\n\t// For each child widget\n\tfor(var t=0; t<this.children.length; t++) {\n\t\tvar child = this.children[t];\n\t\t// Invoke the child if it is an action widget\n\t\tif(child.invokeAction) {\n\t\t\tchild.refreshSelf();\n\t\t\tif(child.invokeAction(triggeringWidget,event)) {\n\t\t\t\thandled = true;\n\t\t\t}\n\t\t}\n\t\t// Propagate through through the child if it permits it\n\t\tif(child.allowActionPropagation() && child.invokeActions(triggeringWidget,event)) {\n\t\t\thandled = true;\n\t\t}\n\t}\n\treturn handled;\n};\n\n/*\nInvoke the action widgets defined in a string\n*/\nWidget.prototype.invokeActionString = function(actions,triggeringWidget,event,variables) {\n\tactions = actions || \"\";\n\tvar parser = this.wiki.parseText(\"text/vnd.tiddlywiki\",actions,{\n\t\t\tparentWidget: this,\n\t\t\tdocument: this.document\n\t\t}),\n\t\twidgetNode = this.wiki.makeWidget(parser,{\n\t\t\tparentWidget: this,\n\t\t\tdocument: this.document,\n\t\t\tvariables: variables\n\t\t});\n\tvar container = this.document.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn widgetNode.invokeActions(this,event);\n};\n\nWidget.prototype.allowActionPropagation = function() {\n\treturn true;\n};\n\nexports.widget = Widget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/wikify.js": {
"title": "$:/core/modules/widgets/wikify.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/wikify.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to wikify text into a variable\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar WikifyWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nWikifyWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nWikifyWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nWikifyWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.wikifyName = this.getAttribute(\"name\");\n\tthis.wikifyText = this.getAttribute(\"text\");\n\tthis.wikifyType = this.getAttribute(\"type\");\n\tthis.wikifyMode = this.getAttribute(\"mode\",\"block\");\n\tthis.wikifyOutput = this.getAttribute(\"output\",\"text\");\n\t// Create the parse tree\n\tthis.wikifyParser = this.wiki.parseText(this.wikifyType,this.wikifyText,{\n\t\t\tparseAsInline: this.wikifyMode === \"inline\"\n\t\t});\n\t// Create the widget tree \n\tthis.wikifyWidgetNode = this.wiki.makeWidget(this.wikifyParser,{\n\t\t\tdocument: $tw.fakeDocument,\n\t\t\tparentWidget: this\n\t\t});\n\t// Render the widget tree to the container\n\tthis.wikifyContainer = $tw.fakeDocument.createElement(\"div\");\n\tthis.wikifyWidgetNode.render(this.wikifyContainer,null);\n\tthis.wikifyResult = this.getResult();\n\t// Set context variable\n\tthis.setVariable(this.wikifyName,this.wikifyResult);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nReturn the result string\n*/\nWikifyWidget.prototype.getResult = function() {\n\tvar result;\n\tswitch(this.wikifyOutput) {\n\t\tcase \"text\":\n\t\t\tresult = this.wikifyContainer.textContent;\n\t\t\tbreak;\n\t\tcase \"formattedtext\":\n\t\t\tresult = this.wikifyContainer.formattedTextContent;\n\t\t\tbreak;\n\t\tcase \"html\":\n\t\t\tresult = this.wikifyContainer.innerHTML;\n\t\t\tbreak;\n\t\tcase \"parsetree\":\n\t\t\tresult = JSON.stringify(this.wikifyParser.tree,0,$tw.config.preferences.jsonSpaces);\n\t\t\tbreak;\n\t\tcase \"widgettree\":\n\t\t\tresult = JSON.stringify(this.getWidgetTree(),0,$tw.config.preferences.jsonSpaces);\n\t\t\tbreak;\n\t}\n\treturn result;\n};\n\n/*\nReturn a string of the widget tree\n*/\nWikifyWidget.prototype.getWidgetTree = function() {\n\tvar copyNode = function(widgetNode,resultNode) {\n\t\t\tvar type = widgetNode.parseTreeNode.type;\n\t\t\tresultNode.type = type;\n\t\t\tswitch(type) {\n\t\t\t\tcase \"element\":\n\t\t\t\t\tresultNode.tag = widgetNode.parseTreeNode.tag;\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"text\":\n\t\t\t\t\tresultNode.text = widgetNode.parseTreeNode.text;\n\t\t\t\t\tbreak;\t\n\t\t\t}\n\t\t\tif(Object.keys(widgetNode.attributes || {}).length > 0) {\n\t\t\t\tresultNode.attributes = {};\n\t\t\t\t$tw.utils.each(widgetNode.attributes,function(attr,attrName) {\n\t\t\t\t\tresultNode.attributes[attrName] = widgetNode.getAttribute(attrName);\n\t\t\t\t});\n\t\t\t}\n\t\t\tif(Object.keys(widgetNode.children || {}).length > 0) {\n\t\t\t\tresultNode.children = [];\n\t\t\t\t$tw.utils.each(widgetNode.children,function(widgetChildNode) {\n\t\t\t\t\tvar node = {};\n\t\t\t\t\tresultNode.children.push(node);\n\t\t\t\t\tcopyNode(widgetChildNode,node);\n\t\t\t\t});\n\t\t\t}\n\t\t},\n\t\tresults = {};\n\tcopyNode(this.wikifyWidgetNode,results);\n\treturn results;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nWikifyWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// Refresh ourselves entirely if any of our attributes have changed\n\tif(changedAttributes.name || changedAttributes.text || changedAttributes.type || changedAttributes.mode || changedAttributes.output) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\t// Refresh the widget tree\n\t\tif(this.wikifyWidgetNode.refresh(changedTiddlers)) {\n\t\t\t// Check if there was any change\n\t\t\tvar result = this.getResult();\n\t\t\tif(result !== this.wikifyResult) {\n\t\t\t\t// If so, save the change\n\t\t\t\tthis.wikifyResult = result;\n\t\t\t\tthis.setVariable(this.wikifyName,this.wikifyResult);\n\t\t\t\t// Refresh each of our child widgets\n\t\t\t\t$tw.utils.each(this.children,function(childWidget) {\n\t\t\t\t\tchildWidget.refreshSelf();\n\t\t\t\t});\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\t// Just refresh the children\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.wikify = WikifyWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/wiki-bulkops.js": {
"title": "$:/core/modules/wiki-bulkops.js",
"text": "/*\\\ntitle: $:/core/modules/wiki-bulkops.js\ntype: application/javascript\nmodule-type: wikimethod\n\nBulk tiddler operations such as rename.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRename a tiddler, and relink any tags or lists that reference it.\n*/\nfunction renameTiddler(fromTitle,toTitle,options) {\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\toptions = options || {};\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\t// Rename the tiddler itself\n\t\tvar oldTiddler = this.getTiddler(fromTitle),\n\t\t\tnewTiddler = new $tw.Tiddler(oldTiddler,{title: toTitle},this.getModificationFields());\n\t\tnewTiddler = $tw.hooks.invokeHook(\"th-renaming-tiddler\",newTiddler,oldTiddler);\n\t\tthis.addTiddler(newTiddler);\n\t\tthis.deleteTiddler(fromTitle);\n\t\t// Rename any tags or lists that reference it\n\t\tthis.relinkTiddler(fromTitle,toTitle,options)\n\t}\n}\n\n/*\nRelink any tags or lists that reference a given tiddler\n*/\nfunction relinkTiddler(fromTitle,toTitle,options) {\n\tvar self = this;\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\toptions = options || {};\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\tthis.each(function(tiddler,title) {\n\t\t\tvar type = tiddler.fields.type || \"\";\n\t\t\t// Don't touch plugins or JavaScript modules\n\t\t\tif(!tiddler.fields[\"plugin-type\"] && type !== \"application/javascript\") {\n\t\t\t\tvar tags = tiddler.fields.tags ? tiddler.fields.tags.slice(0) : undefined,\n\t\t\t\t\tlist = tiddler.fields.list ? tiddler.fields.list.slice(0) : undefined,\n\t\t\t\t\tisModified = false;\n\t\t\t\tif(!options.dontRenameInTags) {\n\t\t\t\t\t// Rename tags\n\t\t\t\t\t$tw.utils.each(tags,function (title,index) {\n\t\t\t\t\t\tif(title === fromTitle) {\nconsole.log(\"Renaming tag '\" + tags[index] + \"' to '\" + toTitle + \"' of tiddler '\" + tiddler.fields.title + \"'\");\n\t\t\t\t\t\t\ttags[index] = toTitle;\n\t\t\t\t\t\t\tisModified = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tif(!options.dontRenameInLists) {\n\t\t\t\t\t// Rename lists\n\t\t\t\t\t$tw.utils.each(list,function (title,index) {\n\t\t\t\t\t\tif(title === fromTitle) {\nconsole.log(\"Renaming list item '\" + list[index] + \"' to '\" + toTitle + \"' of tiddler '\" + tiddler.fields.title + \"'\");\n\t\t\t\t\t\t\tlist[index] = toTitle;\n\t\t\t\t\t\t\tisModified = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tif(isModified) {\n\t\t\t\t\tvar newTiddler = new $tw.Tiddler(tiddler,{tags: tags, list: list},self.getModificationFields())\n\t\t\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-relinking-tiddler\",newTiddler,tiddler);\n\t\t\t\t\tself.addTiddler(newTiddler);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\nexports.renameTiddler = renameTiddler;\nexports.relinkTiddler = relinkTiddler;\n\n})();\n",
"type": "application/javascript",
"module-type": "wikimethod"
},
"$:/core/modules/wiki.js": {
"title": "$:/core/modules/wiki.js",
"text": "/*\\\ntitle: $:/core/modules/wiki.js\ntype: application/javascript\nmodule-type: wikimethod\n\nExtension methods for the $tw.Wiki object\n\nAdds the following properties to the wiki object:\n\n* `eventListeners` is a hashmap by type of arrays of listener functions\n* `changedTiddlers` is a hashmap describing changes to named tiddlers since wiki change events were last dispatched. Each entry is a hashmap containing two fields:\n\tmodified: true/false\n\tdeleted: true/false\n* `changeCount` is a hashmap by tiddler title containing a numerical index that starts at zero and is incremented each time a tiddler is created changed or deleted\n* `caches` is a hashmap by tiddler title containing a further hashmap of named cache objects. Caches are automatically cleared when a tiddler is modified or deleted\n* `globalCache` is a hashmap by cache name of cache objects that are cleared whenever any tiddler change occurs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar USER_NAME_TITLE = \"$:/status/UserName\",\n\tTIMESTAMP_DISABLE_TITLE = \"$:/config/TimestampDisable\";\n\n/*\nAdd available indexers to this wiki\n*/\nexports.addIndexersToWiki = function() {\n\tvar self = this;\n\t$tw.utils.each($tw.modules.applyMethods(\"indexer\"),function(Indexer,name) {\n\t\tself.addIndexer(new Indexer(self),name);\n\t});\n};\n\n/*\nGet the value of a text reference. Text references can have any of these forms:\n\t<tiddlertitle>\n\t<tiddlertitle>!!<fieldname>\n\t!!<fieldname> - specifies a field of the current tiddlers\n\t<tiddlertitle>##<index>\n*/\nexports.getTextReference = function(textRef,defaultText,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle = tr.title || currTiddlerTitle;\n\tif(tr.field) {\n\t\tvar tiddler = this.getTiddler(title);\n\t\tif(tr.field === \"title\") { // Special case so we can return the title of a non-existent tiddler\n\t\t\treturn title;\n\t\t} else if(tiddler && $tw.utils.hop(tiddler.fields,tr.field)) {\n\t\t\treturn tiddler.getFieldString(tr.field);\n\t\t} else {\n\t\t\treturn defaultText;\n\t\t}\n\t} else if(tr.index) {\n\t\treturn this.extractTiddlerDataItem(title,tr.index,defaultText);\n\t} else {\n\t\treturn this.getTiddlerText(title,defaultText);\n\t}\n};\n\nexports.setTextReference = function(textRef,value,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle = tr.title || currTiddlerTitle;\n\tthis.setText(title,tr.field,tr.index,value);\n};\n\nexports.setText = function(title,field,index,value,options) {\n\toptions = options || {};\n\tvar creationFields = options.suppressTimestamp ? {} : this.getCreationFields(),\n\t\tmodificationFields = options.suppressTimestamp ? {} : this.getModificationFields();\n\t// Check if it is a reference to a tiddler field\n\tif(index) {\n\t\tvar data = this.getTiddlerData(title,Object.create(null));\n\t\tif(value !== undefined) {\n\t\t\tdata[index] = value;\n\t\t} else {\n\t\t\tdelete data[index];\n\t\t}\n\t\tthis.setTiddlerData(title,data,modificationFields);\n\t} else {\n\t\tvar tiddler = this.getTiddler(title),\n\t\t\tfields = {title: title};\n\t\tfields[field || \"text\"] = value;\n\t\tthis.addTiddler(new $tw.Tiddler(creationFields,tiddler,fields,modificationFields));\n\t}\n};\n\nexports.deleteTextReference = function(textRef,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle,tiddler,fields;\n\t// Check if it is a reference to a tiddler\n\tif(tr.title && !tr.field) {\n\t\tthis.deleteTiddler(tr.title);\n\t// Else check for a field reference\n\t} else if(tr.field) {\n\t\ttitle = tr.title || currTiddlerTitle;\n\t\ttiddler = this.getTiddler(title);\n\t\tif(tiddler && $tw.utils.hop(tiddler.fields,tr.field)) {\n\t\t\tfields = Object.create(null);\n\t\t\tfields[tr.field] = undefined;\n\t\t\tthis.addTiddler(new $tw.Tiddler(tiddler,fields,this.getModificationFields()));\n\t\t}\n\t}\n};\n\nexports.addEventListener = function(type,listener) {\n\tthis.eventListeners = this.eventListeners || {};\n\tthis.eventListeners[type] = this.eventListeners[type] || [];\n\tthis.eventListeners[type].push(listener);\t\n};\n\nexports.removeEventListener = function(type,listener) {\n\tvar listeners = this.eventListeners[type];\n\tif(listeners) {\n\t\tvar p = listeners.indexOf(listener);\n\t\tif(p !== -1) {\n\t\t\tlisteners.splice(p,1);\n\t\t}\n\t}\n};\n\nexports.dispatchEvent = function(type /*, args */) {\n\tvar args = Array.prototype.slice.call(arguments,1),\n\t\tlisteners = this.eventListeners[type];\n\tif(listeners) {\n\t\tfor(var p=0; p<listeners.length; p++) {\n\t\t\tvar listener = listeners[p];\n\t\t\tlistener.apply(listener,args);\n\t\t}\n\t}\n};\n\n/*\nCauses a tiddler to be marked as changed, incrementing the change count, and triggers event handlers.\nThis method should be called after the changes it describes have been made to the wiki.tiddlers[] array.\n\ttitle: Title of tiddler\n\tisDeleted: defaults to false (meaning the tiddler has been created or modified),\n\t\ttrue if the tiddler has been deleted\n*/\nexports.enqueueTiddlerEvent = function(title,isDeleted) {\n\t// Record the touch in the list of changed tiddlers\n\tthis.changedTiddlers = this.changedTiddlers || Object.create(null);\n\tthis.changedTiddlers[title] = this.changedTiddlers[title] || Object.create(null);\n\tthis.changedTiddlers[title][isDeleted ? \"deleted\" : \"modified\"] = true;\n\t// Increment the change count\n\tthis.changeCount = this.changeCount || Object.create(null);\n\tif($tw.utils.hop(this.changeCount,title)) {\n\t\tthis.changeCount[title]++;\n\t} else {\n\t\tthis.changeCount[title] = 1;\n\t}\n\t// Trigger events\n\tthis.eventListeners = this.eventListeners || {};\n\tif(!this.eventsTriggered) {\n\t\tvar self = this;\n\t\t$tw.utils.nextTick(function() {\n\t\t\tvar changes = self.changedTiddlers;\n\t\t\tself.changedTiddlers = Object.create(null);\n\t\t\tself.eventsTriggered = false;\n\t\t\tif($tw.utils.count(changes) > 0) {\n\t\t\t\tself.dispatchEvent(\"change\",changes);\n\t\t\t}\n\t\t});\n\t\tthis.eventsTriggered = true;\n\t}\n};\n\nexports.getSizeOfTiddlerEventQueue = function() {\n\treturn $tw.utils.count(this.changedTiddlers);\n};\n\nexports.clearTiddlerEventQueue = function() {\n\tthis.changedTiddlers = Object.create(null);\n\tthis.changeCount = Object.create(null);\n};\n\nexports.getChangeCount = function(title) {\n\tthis.changeCount = this.changeCount || Object.create(null);\n\tif($tw.utils.hop(this.changeCount,title)) {\n\t\treturn this.changeCount[title];\n\t} else {\n\t\treturn 0;\n\t}\n};\n\n/*\nGenerate an unused title from the specified base\n*/\nexports.generateNewTitle = function(baseTitle,options) {\n\toptions = options || {};\n\tvar c = 0,\n\t\ttitle = baseTitle;\n\twhile(this.tiddlerExists(title) || this.isShadowTiddler(title) || this.findDraft(title)) {\n\t\ttitle = baseTitle + \n\t\t\t(options.prefix || \" \") + \n\t\t\t(++c);\n\t}\n\treturn title;\n};\n\nexports.isSystemTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/\") === 0;\n};\n\nexports.isTemporaryTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/temp/\") === 0;\n};\n\nexports.isImageTiddler = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\t\t\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/vnd.tiddlywiki\"];\n\t\treturn !!contentTypeInfo && contentTypeInfo.flags.indexOf(\"image\") !== -1;\n\t} else {\n\t\treturn null;\n\t}\n};\n\nexports.isBinaryTiddler = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\t\t\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/vnd.tiddlywiki\"];\n\t\treturn !!contentTypeInfo && contentTypeInfo.encoding === \"base64\";\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLike addTiddler() except it will silently reject any plugin tiddlers that are older than the currently loaded version. Returns true if the tiddler was imported\n*/\nexports.importTiddler = function(tiddler) {\n\tvar existingTiddler = this.getTiddler(tiddler.fields.title);\n\t// Check if we're dealing with a plugin\n\tif(tiddler && tiddler.hasField(\"plugin-type\") && tiddler.hasField(\"version\") && existingTiddler && existingTiddler.hasField(\"plugin-type\") && existingTiddler.hasField(\"version\")) {\n\t\t// Reject the incoming plugin if it is older\n\t\tif(!$tw.utils.checkVersions(tiddler.fields.version,existingTiddler.fields.version)) {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Fall through to adding the tiddler\n\tthis.addTiddler(tiddler);\n\treturn true;\n};\n\n/*\nReturn a hashmap of the fields that should be set when a tiddler is created\n*/\nexports.getCreationFields = function() {\n\tif(this.getTiddlerText(TIMESTAMP_DISABLE_TITLE,\"\").toLowerCase() !== \"yes\") {\n\t\tvar fields = {\n\t\t\t\tcreated: new Date()\n\t\t\t},\n\t\t\tcreator = this.getTiddlerText(USER_NAME_TITLE);\n\t\tif(creator) {\n\t\t\tfields.creator = creator;\n\t\t}\n\t\treturn fields;\n\t} else {\n\t\treturn {};\n\t}\n};\n\n/*\nReturn a hashmap of the fields that should be set when a tiddler is modified\n*/\nexports.getModificationFields = function() {\n\tif(this.getTiddlerText(TIMESTAMP_DISABLE_TITLE,\"\").toLowerCase() !== \"yes\") {\n\t\tvar fields = Object.create(null),\n\t\t\tmodifier = this.getTiddlerText(USER_NAME_TITLE);\n\t\tfields.modified = new Date();\n\t\tif(modifier) {\n\t\t\tfields.modifier = modifier;\n\t\t}\n\t\treturn fields;\n\t} else {\n\t\treturn {};\n\t}\n};\n\n/*\nReturn a sorted array of tiddler titles. Options include:\nsortField: field to sort by\nexcludeTag: tag to exclude\nincludeSystem: whether to include system tiddlers (defaults to false)\n*/\nexports.getTiddlers = function(options) {\n\toptions = options || Object.create(null);\n\tvar self = this,\n\t\tsortField = options.sortField || \"title\",\n\t\ttiddlers = [], t, titles = [];\n\tthis.each(function(tiddler,title) {\n\t\tif(options.includeSystem || !self.isSystemTiddler(title)) {\n\t\t\tif(!options.excludeTag || !tiddler.hasTag(options.excludeTag)) {\n\t\t\t\ttiddlers.push(tiddler);\n\t\t\t}\n\t\t}\n\t});\n\ttiddlers.sort(function(a,b) {\n\t\tvar aa = a.fields[sortField].toLowerCase() || \"\",\n\t\t\tbb = b.fields[sortField].toLowerCase() || \"\";\n\t\tif(aa < bb) {\n\t\t\treturn -1;\n\t\t} else {\n\t\t\tif(aa > bb) {\n\t\t\t\treturn 1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t});\n\tfor(t=0; t<tiddlers.length; t++) {\n\t\ttitles.push(tiddlers[t].fields.title);\n\t}\n\treturn titles;\n};\n\nexports.countTiddlers = function(excludeTag) {\n\tvar tiddlers = this.getTiddlers({excludeTag: excludeTag});\n\treturn $tw.utils.count(tiddlers);\n};\n\n/*\nReturns a function iterator(callback) that iterates through the specified titles, and invokes the callback with callback(tiddler,title)\n*/\nexports.makeTiddlerIterator = function(titles) {\n\tvar self = this;\n\tif(!$tw.utils.isArray(titles)) {\n\t\ttitles = Object.keys(titles);\n\t} else {\n\t\ttitles = titles.slice(0);\n\t}\n\treturn function(callback) {\n\t\ttitles.forEach(function(title) {\n\t\t\tcallback(self.getTiddler(title),title);\n\t\t});\n\t};\n};\n\n/*\nSort an array of tiddler titles by a specified field\n\ttitles: array of titles (sorted in place)\n\tsortField: name of field to sort by\n\tisDescending: true if the sort should be descending\n\tisCaseSensitive: true if the sort should consider upper and lower case letters to be different\n*/\nexports.sortTiddlers = function(titles,sortField,isDescending,isCaseSensitive,isNumeric,isAlphaNumeric) {\n\tvar self = this;\n\ttitles.sort(function(a,b) {\n\t\tvar x,y,\n\t\t\tcompareNumbers = function(x,y) {\n\t\t\t\tvar result = \n\t\t\t\t\tisNaN(x) && !isNaN(y) ? (isDescending ? -1 : 1) :\n\t\t\t\t\t!isNaN(x) && isNaN(y) ? (isDescending ? 1 : -1) :\n\t\t\t\t\t\t\t\t\t\t\t(isDescending ? y - x : x - y);\n\t\t\t\treturn result;\n\t\t\t};\n\t\tif(sortField !== \"title\") {\n\t\t\tvar tiddlerA = self.getTiddler(a),\n\t\t\t\ttiddlerB = self.getTiddler(b);\n\t\t\tif(tiddlerA) {\n\t\t\t\ta = tiddlerA.fields[sortField] || \"\";\n\t\t\t} else {\n\t\t\t\ta = \"\";\n\t\t\t}\n\t\t\tif(tiddlerB) {\n\t\t\t\tb = tiddlerB.fields[sortField] || \"\";\n\t\t\t} else {\n\t\t\t\tb = \"\";\n\t\t\t}\n\t\t}\n\t\tx = Number(a);\n\t\ty = Number(b);\n\t\tif(isNumeric && (!isNaN(x) || !isNaN(y))) {\n\t\t\treturn compareNumbers(x,y);\n\t\t} else if(isAlphaNumeric) {\n\t\t\treturn isDescending ? b.localeCompare(a,undefined,{numeric: true,sensitivity: \"base\"}) : a.localeCompare(b,undefined,{numeric: true,sensitivity: \"base\"});\n\t\t} else if($tw.utils.isDate(a) && $tw.utils.isDate(b)) {\n\t\t\treturn isDescending ? b - a : a - b;\n\t\t} else {\n\t\t\ta = String(a);\n\t\t\tb = String(b);\n\t\t\tif(!isCaseSensitive) {\n\t\t\t\ta = a.toLowerCase();\n\t\t\t\tb = b.toLowerCase();\n\t\t\t}\n\t\t\treturn isDescending ? b.localeCompare(a) : a.localeCompare(b);\n\t\t}\n\t});\n};\n\n/*\nFor every tiddler invoke a callback(title,tiddler) with `this` set to the wiki object. Options include:\nsortField: field to sort by\nexcludeTag: tag to exclude\nincludeSystem: whether to include system tiddlers (defaults to false)\n*/\nexports.forEachTiddler = function(/* [options,]callback */) {\n\tvar arg = 0,\n\t\toptions = arguments.length >= 2 ? arguments[arg++] : {},\n\t\tcallback = arguments[arg++],\n\t\ttitles = this.getTiddlers(options),\n\t\tt, tiddler;\n\tfor(t=0; t<titles.length; t++) {\n\t\ttiddler = this.getTiddler(titles[t]);\n\t\tif(tiddler) {\n\t\t\tcallback.call(this,tiddler.fields.title,tiddler);\n\t\t}\n\t}\n};\n\n/*\nReturn an array of tiddler titles that are directly linked within the given parse tree\n */\nexports.extractLinks = function(parseTreeRoot) {\n\t// Count up the links\n\tvar links = [],\n\t\tcheckParseTree = function(parseTree) {\n\t\t\tfor(var t=0; t<parseTree.length; t++) {\n\t\t\t\tvar parseTreeNode = parseTree[t];\n\t\t\t\tif(parseTreeNode.type === \"link\" && parseTreeNode.attributes.to && parseTreeNode.attributes.to.type === \"string\") {\n\t\t\t\t\tvar value = parseTreeNode.attributes.to.value;\n\t\t\t\t\tif(links.indexOf(value) === -1) {\n\t\t\t\t\t\tlinks.push(value);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(parseTreeNode.children) {\n\t\t\t\t\tcheckParseTree(parseTreeNode.children);\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\tcheckParseTree(parseTreeRoot);\n\treturn links;\n};\n\n/*\nReturn an array of tiddler titles that are directly linked from the specified tiddler\n*/\nexports.getTiddlerLinks = function(title) {\n\tvar self = this;\n\t// We'll cache the links so they only get computed if the tiddler changes\n\treturn this.getCacheForTiddler(title,\"links\",function() {\n\t\t// Parse the tiddler\n\t\tvar parser = self.parseTiddler(title);\n\t\tif(parser) {\n\t\t\treturn self.extractLinks(parser.tree);\n\t\t}\n\t\treturn [];\n\t});\n};\n\n/*\nReturn an array of tiddler titles that link to the specified tiddler\n*/\nexports.getTiddlerBacklinks = function(targetTitle) {\n\tvar self = this,\n\t\tbacklinksIndexer = this.getIndexer(\"BacklinksIndexer\"),\n\t\tbacklinks = backlinksIndexer && backlinksIndexer.lookup(targetTitle);\n\n\tif(!backlinks) {\n\t\tbacklinks = [];\n\t\tthis.forEachTiddler(function(title,tiddler) {\n\t\t\tvar links = self.getTiddlerLinks(title);\n\t\t\tif(links.indexOf(targetTitle) !== -1) {\n\t\t\t\tbacklinks.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn backlinks;\n};\n\n/*\nReturn a hashmap of tiddler titles that are referenced but not defined. Each value is the number of times the missing tiddler is referenced\n*/\nexports.getMissingTitles = function() {\n\tvar self = this,\n\t\tmissing = [];\n// We should cache the missing tiddler list, even if we recreate it every time any tiddler is modified\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\t$tw.utils.each(links,function(link) {\n\t\t\tif((!self.tiddlerExists(link) && !self.isShadowTiddler(link)) && missing.indexOf(link) === -1) {\n\t\t\t\tmissing.push(link);\n\t\t\t}\n\t\t});\n\t});\n\treturn missing;\n};\n\nexports.getOrphanTitles = function() {\n\tvar self = this,\n\t\torphans = this.getTiddlers();\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\t$tw.utils.each(links,function(link) {\n\t\t\tvar p = orphans.indexOf(link);\n\t\t\tif(p !== -1) {\n\t\t\t\torphans.splice(p,1);\n\t\t\t}\n\t\t});\n\t});\n\treturn orphans; // Todo\n};\n\n/*\nRetrieves a list of the tiddler titles that are tagged with a given tag\n*/\nexports.getTiddlersWithTag = function(tag) {\n\t// Try to use the indexer\n\tvar self = this,\n\t\ttagIndexer = this.getIndexer(\"TagIndexer\"),\n\t\tresults = tagIndexer && tagIndexer.subIndexers[3].lookup(tag);\n\tif(!results) {\n\t\t// If not available, perform a manual scan\n\t\tresults = this.getGlobalCache(\"taglist-\" + tag,function() {\n\t\t\tvar tagmap = self.getTagMap();\n\t\t\treturn self.sortByList(tagmap[tag],tag);\n\t\t});\n\t}\n\treturn results;\n};\n\n/*\nGet a hashmap by tag of arrays of tiddler titles\n*/\nexports.getTagMap = function() {\n\tvar self = this;\n\treturn this.getGlobalCache(\"tagmap\",function() {\n\t\tvar tags = Object.create(null),\n\t\t\tstoreTags = function(tagArray,title) {\n\t\t\t\tif(tagArray) {\n\t\t\t\t\tfor(var index=0; index<tagArray.length; index++) {\n\t\t\t\t\t\tvar tag = tagArray[index];\n\t\t\t\t\t\tif($tw.utils.hop(tags,tag)) {\n\t\t\t\t\t\t\ttags[tag].push(title);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\ttags[tag] = [title];\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t},\n\t\t\ttitle, tiddler;\n\t\t// Collect up all the tags\n\t\tself.eachShadow(function(tiddler,title) {\n\t\t\tif(!self.tiddlerExists(title)) {\n\t\t\t\ttiddler = self.getTiddler(title);\n\t\t\t\tstoreTags(tiddler.fields.tags,title);\n\t\t\t}\n\t\t});\n\t\tself.each(function(tiddler,title) {\n\t\t\tstoreTags(tiddler.fields.tags,title);\n\t\t});\n\t\treturn tags;\n\t});\n};\n\n/*\nLookup a given tiddler and return a list of all the tiddlers that include it in the specified list field\n*/\nexports.findListingsOfTiddler = function(targetTitle,fieldName) {\n\tfieldName = fieldName || \"list\";\n\tvar titles = [];\n\tthis.each(function(tiddler,title) {\n\t\tvar list = $tw.utils.parseStringArray(tiddler.fields[fieldName]);\n\t\tif(list && list.indexOf(targetTitle) !== -1) {\n\t\t\ttitles.push(title);\n\t\t}\n\t});\n\treturn titles;\n};\n\n/*\nSorts an array of tiddler titles according to an ordered list\n*/\nexports.sortByList = function(array,listTitle) {\n\tvar self = this,\n\t\treplacedTitles = Object.create(null);\n\t// Given a title, this function will place it in the correct location\n\t// within titles.\n\tfunction moveItemInList(title) {\n\t\tif(!$tw.utils.hop(replacedTitles, title)) {\n\t\t\treplacedTitles[title] = true;\n\t\t\tvar newPos = -1,\n\t\t\t\ttiddler = self.getTiddler(title);\n\t\t\tif(tiddler) {\n\t\t\t\tvar beforeTitle = tiddler.fields[\"list-before\"],\n\t\t\t\t\tafterTitle = tiddler.fields[\"list-after\"];\n\t\t\t\tif(beforeTitle === \"\") {\n\t\t\t\t\tnewPos = 0;\n\t\t\t\t} else if(afterTitle === \"\") {\n\t\t\t\t\tnewPos = titles.length;\n\t\t\t\t} else if(beforeTitle) {\n\t\t\t\t\t// if this title is placed relative\n\t\t\t\t\t// to another title, make sure that\n\t\t\t\t\t// title is placed before we place\n\t\t\t\t\t// this one.\n\t\t\t\t\tmoveItemInList(beforeTitle);\n\t\t\t\t\tnewPos = titles.indexOf(beforeTitle);\n\t\t\t\t} else if(afterTitle) {\n\t\t\t\t\t// Same deal\n\t\t\t\t\tmoveItemInList(afterTitle);\n\t\t\t\t\tnewPos = titles.indexOf(afterTitle);\n\t\t\t\t\tif(newPos >= 0) {\n\t\t\t\t\t\t++newPos;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// If a new position is specified, let's move it\n\t\t\t\tif (newPos !== -1) {\n\t\t\t\t\t// get its current Pos, and make sure\n\t\t\t\t\t// sure that it's _actually_ in the list\n\t\t\t\t\t// and that it would _actually_ move\n\t\t\t\t\t// (#4275) We don't bother calling\n\t\t\t\t\t// indexOf unless we have a new\n\t\t\t\t\t// position to work with\n\t\t\t\t\tvar currPos = titles.indexOf(title);\n\t\t\t\t\tif(currPos >= 0 && newPos !== currPos) {\n\t\t\t\t\t\t// move it!\n\t\t\t\t\t\ttitles.splice(currPos,1);\n\t\t\t\t\t\tif(newPos >= currPos) {\n\t\t\t\t\t\t\tnewPos--;\n\t\t\t\t\t\t}\n\t\t\t\t\t\ttitles.splice(newPos,0,title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tvar list = this.getTiddlerList(listTitle);\n\tif(!array || array.length === 0) {\n\t\treturn [];\n\t} else {\n\t\tvar titles = [], t, title;\n\t\t// First place any entries that are present in the list\n\t\tfor(t=0; t<list.length; t++) {\n\t\t\ttitle = list[t];\n\t\t\tif(array.indexOf(title) !== -1) {\n\t\t\t\ttitles.push(title);\n\t\t\t}\n\t\t}\n\t\t// Then place any remaining entries\n\t\tfor(t=0; t<array.length; t++) {\n\t\t\ttitle = array[t];\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\ttitles.push(title);\n\t\t\t}\n\t\t}\n\t\t// Finally obey the list-before and list-after fields of each tiddler in turn\n\t\tvar sortedTitles = titles.slice(0);\n\t\tfor(t=0; t<sortedTitles.length; t++) {\n\t\t\ttitle = sortedTitles[t];\n\t\t\tmoveItemInList(title);\n\t\t}\n\t\treturn titles;\n\t}\n};\n\nexports.getSubTiddler = function(title,subTiddlerTitle) {\n\tvar bundleInfo = this.getPluginInfo(title) || this.getTiddlerDataCached(title);\n\tif(bundleInfo && bundleInfo.tiddlers) {\n\t\tvar subTiddler = bundleInfo.tiddlers[subTiddlerTitle];\n\t\tif(subTiddler) {\n\t\t\treturn new $tw.Tiddler(subTiddler);\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRetrieve a tiddler as a JSON string of the fields\n*/\nexports.getTiddlerAsJson = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\tvar fields = Object.create(null);\n\t\t$tw.utils.each(tiddler.fields,function(value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\treturn JSON.stringify(fields);\n\t} else {\n\t\treturn JSON.stringify({title: title});\n\t}\n};\n\nexports.getTiddlersAsJson = function(filter,spaces) {\n\tvar tiddlers = this.filterTiddlers(filter),\n\t\tspaces = (spaces === undefined) ? $tw.config.preferences.jsonSpaces : spaces,\n\t\tdata = [];\n\tfor(var t=0;t<tiddlers.length; t++) {\n\t\tvar tiddler = this.getTiddler(tiddlers[t]);\n\t\tif(tiddler) {\n\t\t\tvar fields = new Object();\n\t\t\tfor(var field in tiddler.fields) {\n\t\t\t\tfields[field] = tiddler.getFieldString(field);\n\t\t\t}\n\t\t\tdata.push(fields);\n\t\t}\n\t}\n\treturn JSON.stringify(data,null,spaces);\n};\n\n/*\nGet the content of a tiddler as a JavaScript object. How this is done depends on the type of the tiddler:\n\napplication/json: the tiddler JSON is parsed into an object\napplication/x-tiddler-dictionary: the tiddler is parsed as sequence of name:value pairs\n\nOther types currently just return null.\n\ntitleOrTiddler: string tiddler title or a tiddler object\ndefaultData: default data to be returned if the tiddler is missing or doesn't contain data\n\nNote that the same value is returned for repeated calls for the same tiddler data. The value is frozen to prevent modification; otherwise modifications would be visible to all callers\n*/\nexports.getTiddlerDataCached = function(titleOrTiddler,defaultData) {\n\tvar self = this,\n\t\ttiddler = titleOrTiddler;\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\ttiddler = this.getTiddler(tiddler);\t\n\t}\n\tif(tiddler) {\n\t\treturn this.getCacheForTiddler(tiddler.fields.title,\"data\",function() {\n\t\t\t// Return the frozen value\n\t\t\tvar value = self.getTiddlerData(tiddler.fields.title,undefined);\n\t\t\t$tw.utils.deepFreeze(value);\n\t\t\treturn value;\n\t\t}) || defaultData;\n\t} else {\n\t\treturn defaultData;\n\t}\n};\n\n/*\nAlternative, uncached version of getTiddlerDataCached(). The return value can be mutated freely and reused\n*/\nexports.getTiddlerData = function(titleOrTiddler,defaultData) {\n\tvar tiddler = titleOrTiddler,\n\t\tdata;\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\ttiddler = this.getTiddler(tiddler);\t\n\t}\n\tif(tiddler && tiddler.fields.text) {\n\t\tswitch(tiddler.fields.type) {\n\t\t\tcase \"application/json\":\n\t\t\t\t// JSON tiddler\n\t\t\t\ttry {\n\t\t\t\t\tdata = JSON.parse(tiddler.fields.text);\n\t\t\t\t} catch(ex) {\n\t\t\t\t\treturn defaultData;\n\t\t\t\t}\n\t\t\t\treturn data;\n\t\t\tcase \"application/x-tiddler-dictionary\":\n\t\t\t\treturn $tw.utils.parseFields(tiddler.fields.text);\n\t\t}\n\t}\n\treturn defaultData;\n};\n\n/*\nExtract an indexed field from within a data tiddler\n*/\nexports.extractTiddlerDataItem = function(titleOrTiddler,index,defaultText) {\n\tvar data = this.getTiddlerDataCached(titleOrTiddler,Object.create(null)),\n\t\ttext;\n\tif(data && $tw.utils.hop(data,index)) {\n\t\ttext = data[index];\n\t}\n\tif(typeof text === \"string\" || typeof text === \"number\") {\n\t\treturn text.toString();\n\t} else {\n\t\treturn defaultText;\n\t}\n};\n\n/*\nSet a tiddlers content to a JavaScript object. Currently this is done by setting the tiddler's type to \"application/json\" and setting the text to the JSON text of the data.\ntitle: title of tiddler\ndata: object that can be serialised to JSON\nfields: optional hashmap of additional tiddler fields to be set\n*/\nexports.setTiddlerData = function(title,data,fields) {\n\tvar existingTiddler = this.getTiddler(title),\n\t\tnewFields = {\n\t\t\ttitle: title\n\t};\n\tif(existingTiddler && existingTiddler.fields.type === \"application/x-tiddler-dictionary\") {\n\t\tnewFields.text = $tw.utils.makeTiddlerDictionary(data);\n\t} else {\n\t\tnewFields.type = \"application/json\";\n\t\tnewFields.text = JSON.stringify(data,null,$tw.config.preferences.jsonSpaces);\n\t}\n\tthis.addTiddler(new $tw.Tiddler(this.getCreationFields(),existingTiddler,fields,newFields,this.getModificationFields()));\n};\n\n/*\nReturn the content of a tiddler as an array containing each line\n*/\nexports.getTiddlerList = function(title,field,index) {\n\tif(index) {\n\t\treturn $tw.utils.parseStringArray(this.extractTiddlerDataItem(title,index,\"\"));\n\t}\n\tfield = field || \"list\";\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\treturn ($tw.utils.parseStringArray(tiddler.fields[field]) || []).slice(0);\n\t}\n\treturn [];\n};\n\n// Return a named global cache object. Global cache objects are cleared whenever a tiddler change occurs\nexports.getGlobalCache = function(cacheName,initializer) {\n\tthis.globalCache = this.globalCache || Object.create(null);\n\tif($tw.utils.hop(this.globalCache,cacheName)) {\n\t\treturn this.globalCache[cacheName];\n\t} else {\n\t\tthis.globalCache[cacheName] = initializer();\n\t\treturn this.globalCache[cacheName];\n\t}\n};\n\nexports.clearGlobalCache = function() {\n\tthis.globalCache = Object.create(null);\n};\n\n// Return the named cache object for a tiddler. If the cache doesn't exist then the initializer function is invoked to create it\nexports.getCacheForTiddler = function(title,cacheName,initializer) {\n\tthis.caches = this.caches || Object.create(null);\n\tvar caches = this.caches[title];\n\tif(caches && caches[cacheName]) {\n\t\treturn caches[cacheName];\n\t} else {\n\t\tif(!caches) {\n\t\t\tcaches = Object.create(null);\n\t\t\tthis.caches[title] = caches;\n\t\t}\n\t\tcaches[cacheName] = initializer();\n\t\treturn caches[cacheName];\n\t}\n};\n\n// Clear all caches associated with a particular tiddler, or, if the title is null, clear all the caches for all the tiddlers\nexports.clearCache = function(title) {\n\tif(title) {\n\t\tthis.caches = this.caches || Object.create(null);\n\t\tif($tw.utils.hop(this.caches,title)) {\n\t\t\tdelete this.caches[title];\n\t\t}\n\t} else {\n\t\tthis.caches = Object.create(null);\n\t}\n};\n\nexports.initParsers = function(moduleType) {\n\t// Install the parser modules\n\t$tw.Wiki.parsers = {};\n\tvar self = this;\n\t$tw.modules.forEachModuleOfType(\"parser\",function(title,module) {\n\t\tfor(var f in module) {\n\t\t\tif($tw.utils.hop(module,f)) {\n\t\t\t\t$tw.Wiki.parsers[f] = module[f]; // Store the parser class\n\t\t\t}\n\t\t}\n\t});\n\t// Use the generic binary parser for any binary types not registered so far\n\tif($tw.Wiki.parsers[\"application/octet-stream\"]) {\n\t\tObject.keys($tw.config.contentTypeInfo).forEach(function(type) {\n\t\t\tif(!$tw.utils.hop($tw.Wiki.parsers,type) && $tw.config.contentTypeInfo[type].encoding === \"base64\") {\n\t\t\t\t$tw.Wiki.parsers[type] = $tw.Wiki.parsers[\"application/octet-stream\"];\n\t\t\t}\n\t\t});\t\t\n\t}\n};\n\n/*\nParse a block of text of a specified MIME type\n\ttype: content type of text to be parsed\n\ttext: text\n\toptions: see below\nOptions include:\n\tparseAsInline: if true, the text of the tiddler will be parsed as an inline run\n\t_canonical_uri: optional string of the canonical URI of this content\n*/\nexports.parseText = function(type,text,options) {\n\ttext = text || \"\";\n\toptions = options || {};\n\t// Select a parser\n\tvar Parser = $tw.Wiki.parsers[type];\n\tif(!Parser && $tw.utils.getFileExtensionInfo(type)) {\n\t\tParser = $tw.Wiki.parsers[$tw.utils.getFileExtensionInfo(type).type];\n\t}\n\tif(!Parser) {\n\t\tParser = $tw.Wiki.parsers[options.defaultType || \"text/vnd.tiddlywiki\"];\n\t}\n\tif(!Parser) {\n\t\treturn null;\n\t}\n\t// Return the parser instance\n\treturn new Parser(type,text,{\n\t\tparseAsInline: options.parseAsInline,\n\t\twiki: this,\n\t\t_canonical_uri: options._canonical_uri\n\t});\n};\n\n/*\nParse a tiddler according to its MIME type\n*/\nexports.parseTiddler = function(title,options) {\n\toptions = $tw.utils.extend({},options);\n\tvar cacheType = options.parseAsInline ? \"inlineParseTree\" : \"blockParseTree\",\n\t\ttiddler = this.getTiddler(title),\n\t\tself = this;\n\treturn tiddler ? this.getCacheForTiddler(title,cacheType,function() {\n\t\t\tif(tiddler.hasField(\"_canonical_uri\")) {\n\t\t\t\toptions._canonical_uri = tiddler.fields._canonical_uri;\n\t\t\t}\n\t\t\treturn self.parseText(tiddler.fields.type,tiddler.fields.text,options);\n\t\t}) : null;\n};\n\nexports.parseTextReference = function(title,field,index,options) {\n\tvar tiddler,text;\n\tif(options.subTiddler) {\n\t\ttiddler = this.getSubTiddler(title,options.subTiddler);\n\t} else {\n\t\ttiddler = this.getTiddler(title);\n\t\tif(field === \"text\" || (!field && !index)) {\n\t\t\tthis.getTiddlerText(title); // Force the tiddler to be lazily loaded\n\t\t\treturn this.parseTiddler(title,options);\n\t\t}\n\t}\n\tif(field === \"text\" || (!field && !index)) {\n\t\tif(tiddler && tiddler.fields) {\n\t\t\treturn this.parseText(tiddler.fields.type,tiddler.fields.text,options);\t\t\t\n\t\t} else {\n\t\t\treturn null;\n\t\t}\n\t} else if(field) {\n\t\tif(field === \"title\") {\n\t\t\ttext = title;\n\t\t} else {\n\t\t\tif(!tiddler || !tiddler.hasField(field)) {\n\t\t\t\treturn null;\n\t\t\t}\n\t\t\ttext = tiddler.fields[field];\n\t\t}\n\t\treturn this.parseText(\"text/vnd.tiddlywiki\",text.toString(),options);\n\t} else if(index) {\n\t\tthis.getTiddlerText(title); // Force the tiddler to be lazily loaded\n\t\ttext = this.extractTiddlerDataItem(tiddler,index,undefined);\n\t\tif(text === undefined) {\n\t\t\treturn null;\n\t\t}\n\t\treturn this.parseText(\"text/vnd.tiddlywiki\",text,options);\n\t}\n};\n\n/*\nMake a widget tree for a parse tree\nparser: parser object\noptions: see below\nOptions include:\ndocument: optional document to use\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.makeWidget = function(parser,options) {\n\toptions = options || {};\n\tvar widgetNode = {\n\t\t\ttype: \"widget\",\n\t\t\tchildren: []\n\t\t},\n\t\tcurrWidgetNode = widgetNode;\n\t// Create set variable widgets for each variable\n\t$tw.utils.each(options.variables,function(value,name) {\n\t\tvar setVariableWidget = {\n\t\t\ttype: \"set\",\n\t\t\tattributes: {\n\t\t\t\tname: {type: \"string\", value: name},\n\t\t\t\tvalue: {type: \"string\", value: value}\n\t\t\t},\n\t\t\tchildren: []\n\t\t};\n\t\tcurrWidgetNode.children = [setVariableWidget];\n\t\tcurrWidgetNode = setVariableWidget;\n\t});\n\t// Add in the supplied parse tree nodes\n\tcurrWidgetNode.children = parser ? parser.tree : [];\n\t// Create the widget\n\treturn new widget.widget(widgetNode,{\n\t\twiki: this,\n\t\tdocument: options.document || $tw.fakeDocument,\n\t\tparentWidget: options.parentWidget\n\t});\n};\n\n/*\nMake a widget tree for transclusion\ntitle: target tiddler title\noptions: as for wiki.makeWidget() plus:\noptions.field: optional field to transclude (defaults to \"text\")\noptions.mode: transclusion mode \"inline\" or \"block\"\noptions.children: optional array of children for the transclude widget\noptions.importVariables: optional importvariables filter string for macros to be included\noptions.importPageMacros: optional boolean; if true, equivalent to passing \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\" to options.importVariables\n*/\nexports.makeTranscludeWidget = function(title,options) {\n\toptions = options || {};\n\tvar parseTreeDiv = {tree: [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"div\",\n\t\t\tchildren: []}]},\n\t\tparseTreeImportVariables = {\n\t\t\ttype: \"importvariables\",\n\t\t\tattributes: {\n\t\t\t\tfilter: {\n\t\t\t\t\tname: \"filter\",\n\t\t\t\t\ttype: \"string\"\n\t\t\t\t}\n\t\t\t},\n\t\t\tisBlock: false,\n\t\t\tchildren: []},\n\t\tparseTreeTransclude = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {\n\t\t\t\t\tname: \"tiddler\",\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: title}},\n\t\t\tisBlock: !options.parseAsInline};\n\tif(options.importVariables || options.importPageMacros) {\n\t\tif(options.importVariables) {\n\t\t\tparseTreeImportVariables.attributes.filter.value = options.importVariables;\n\t\t} else if(options.importPageMacros) {\n\t\t\tparseTreeImportVariables.attributes.filter.value = \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\";\n\t\t}\n\t\tparseTreeDiv.tree[0].children.push(parseTreeImportVariables);\n\t\tparseTreeImportVariables.children.push(parseTreeTransclude);\n\t} else {\n\t\tparseTreeDiv.tree[0].children.push(parseTreeTransclude);\n\t}\n\tif(options.field) {\n\t\tparseTreeTransclude.attributes.field = {type: \"string\", value: options.field};\n\t}\n\tif(options.mode) {\n\t\tparseTreeTransclude.attributes.mode = {type: \"string\", value: options.mode};\n\t}\n\tif(options.children) {\n\t\tparseTreeTransclude.children = options.children;\n\t}\n\treturn $tw.wiki.makeWidget(parseTreeDiv,options);\n};\n\n/*\nParse text in a specified format and render it into another format\n\toutputType: content type for the output\n\ttextType: content type of the input text\n\ttext: input text\n\toptions: see below\nOptions include:\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.renderText = function(outputType,textType,text,options) {\n\toptions = options || {};\n\tvar parser = this.parseText(textType,text,options),\n\t\twidgetNode = this.makeWidget(parser,options);\n\tvar container = $tw.fakeDocument.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn outputType === \"text/html\" ? container.innerHTML : container.textContent;\n};\n\n/*\nParse text from a tiddler and render it into another format\n\toutputType: content type for the output\n\ttitle: title of the tiddler to be rendered\n\toptions: see below\nOptions include:\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.renderTiddler = function(outputType,title,options) {\n\toptions = options || {};\n\tvar parser = this.parseTiddler(title,options),\n\t\twidgetNode = this.makeWidget(parser,options);\n\tvar container = $tw.fakeDocument.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn outputType === \"text/html\" ? container.innerHTML : (outputType === \"text/plain-formatted\" ? container.formattedTextContent : container.textContent);\n};\n\n/*\nReturn an array of tiddler titles that match a search string\n\ttext: The text string to search for\n\toptions: see below\nOptions available:\n\tsource: an iterator function for the source tiddlers, called source(iterator), where iterator is called as iterator(tiddler,title)\n\texclude: An array of tiddler titles to exclude from the search\n\tinvert: If true returns tiddlers that do not contain the specified string\n\tcaseSensitive: If true forces a case sensitive search\n\tfield: If specified, restricts the search to the specified field, or an array of field names\n\tanchored: If true, forces all but regexp searches to be anchored to the start of text\n\texcludeField: If true, the field options are inverted to specify the fields that are not to be searched\n\tThe search mode is determined by the first of these boolean flags to be true\n\t\tliteral: searches for literal string\n\t\twhitespace: same as literal except runs of whitespace are treated as a single space\n\t\tregexp: treats the search term as a regular expression\n\t\twords: (default) treats search string as a list of tokens, and matches if all tokens are found, regardless of adjacency or ordering\n*/\nexports.search = function(text,options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tt,\n\t\tinvert = !!options.invert;\n\t// Convert the search string into a regexp for each term\n\tvar terms, searchTermsRegExps,\n\t\tflags = options.caseSensitive ? \"\" : \"i\",\n\t\tanchor = options.anchored ? \"^\" : \"\";\n\tif(options.literal) {\n\t\tif(text.length === 0) {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [new RegExp(\"(\" + anchor + $tw.utils.escapeRegExp(text) + \")\",flags)];\n\t\t}\n\t} else if(options.whitespace) {\n\t\tterms = [];\n\t\t$tw.utils.each(text.split(/\\s+/g),function(term) {\n\t\t\tif(term) {\n\t\t\t\tterms.push($tw.utils.escapeRegExp(term));\n\t\t\t}\n\t\t});\n\t\tsearchTermsRegExps = [new RegExp(\"(\" + anchor + terms.join(\"\\\\s+\") + \")\",flags)];\n\t} else if(options.regexp) {\n\t\ttry {\n\t\t\tsearchTermsRegExps = [new RegExp(\"(\" + text + \")\",flags)];\t\t\t\n\t\t} catch(e) {\n\t\t\tsearchTermsRegExps = null;\n\t\t\tconsole.log(\"Regexp error parsing /(\" + text + \")/\" + flags + \": \",e);\n\t\t}\n\t} else {\n\t\tterms = text.split(/ +/);\n\t\tif(terms.length === 1 && terms[0] === \"\") {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [];\n\t\t\tfor(t=0; t<terms.length; t++) {\n\t\t\t\tsearchTermsRegExps.push(new RegExp(\"(\" + anchor + $tw.utils.escapeRegExp(terms[t]) + \")\",flags));\n\t\t\t}\n\t\t}\n\t}\n\t// Accumulate the array of fields to be searched or excluded from the search\n\tvar fields = [];\n\tif(options.field) {\n\t\tif($tw.utils.isArray(options.field)) {\n\t\t\t$tw.utils.each(options.field,function(fieldName) {\n\t\t\t\tif(fieldName) {\n\t\t\t\t\tfields.push(fieldName);\t\t\t\t\t\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tfields.push(options.field);\n\t\t}\n\t}\n\t// Use default fields if none specified and we're not excluding fields (excluding fields with an empty field array is the same as searching all fields)\n\tif(fields.length === 0 && !options.excludeField) {\n\t\tfields.push(\"title\");\n\t\tfields.push(\"tags\");\n\t\tfields.push(\"text\");\n\t}\n\t// Function to check a given tiddler for the search term\n\tvar searchTiddler = function(title) {\n\t\tif(!searchTermsRegExps) {\n\t\t\treturn true;\n\t\t}\n\t\tvar notYetFound = searchTermsRegExps.slice();\n\n\t\tvar tiddler = self.getTiddler(title);\n\t\tif(!tiddler) {\n\t\t\ttiddler = new $tw.Tiddler({title: title, text: \"\", type: \"text/vnd.tiddlywiki\"});\n\t\t}\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type] || $tw.config.contentTypeInfo[\"text/vnd.tiddlywiki\"],\n\t\t\tsearchFields;\n\t\t// Get the list of fields we're searching\n\t\tif(options.excludeField) {\n\t\t\tsearchFields = Object.keys(tiddler.fields);\n\t\t\t$tw.utils.each(fields,function(fieldName) {\n\t\t\t\tvar p = searchFields.indexOf(fieldName);\n\t\t\t\tif(p !== -1) {\n\t\t\t\t\tsearchFields.splice(p,1);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsearchFields = fields;\n\t\t}\n\t\tfor(var fieldIndex=0; notYetFound.length>0 && fieldIndex<searchFields.length; fieldIndex++) {\n\t\t\t// Don't search the text field if the content type is binary\n\t\t\tvar fieldName = searchFields[fieldIndex];\n\t\t\tif(fieldName === \"text\" && contentTypeInfo.encoding !== \"utf8\") {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\tvar str = tiddler.fields[fieldName],\n\t\t\t\tt;\n\t\t\tif(str) {\n\t\t\t\tif($tw.utils.isArray(str)) {\n\t\t\t\t\t// If the field value is an array, test each regexp against each field array entry and fail if each regexp doesn't match at least one field array entry\n\t\t\t\t\tfor(var s=0; s<str.length; s++) {\n\t\t\t\t\t\tfor(t=0; t<notYetFound.length;) {\n\t\t\t\t\t\t\tif(notYetFound[t].test(str[s])) {\n\t\t\t\t\t\t\t\tnotYetFound.splice(t, 1);\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tt++;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// If the field isn't an array, force it to a string and test each regexp against it and fail if any do not match\n\t\t\t\t\tstr = tiddler.getFieldString(fieldName);\n\t\t\t\t\tfor(t=0; t<notYetFound.length;) {\n\t\t\t\t\t\tif(notYetFound[t].test(str)) {\n\t\t\t\t\t\t\tnotYetFound.splice(t, 1);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tt++;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t\treturn notYetFound.length == 0;\n\t};\n\t// Loop through all the tiddlers doing the search\n\tvar results = [],\n\t\tsource = options.source || this.each;\n\tsource(function(tiddler,title) {\n\t\tif(searchTiddler(title) !== options.invert) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\t// Remove any of the results we have to exclude\n\tif(options.exclude) {\n\t\tfor(t=0; t<options.exclude.length; t++) {\n\t\t\tvar p = results.indexOf(options.exclude[t]);\n\t\t\tif(p !== -1) {\n\t\t\t\tresults.splice(p,1);\n\t\t\t}\n\t\t}\n\t}\n\treturn results;\n};\n\n/*\nTrigger a load for a tiddler if it is skinny. Returns the text, or undefined if the tiddler is missing, null if the tiddler is being lazily loaded.\n*/\nexports.getTiddlerText = function(title,defaultText) {\n\tvar tiddler = this.getTiddler(title);\n\t// Return undefined if the tiddler isn't found\n\tif(!tiddler) {\n\t\treturn defaultText;\n\t}\n\tif(!tiddler.hasField(\"_is_skinny\")) {\n\t\t// Just return the text if we've got it\n\t\treturn tiddler.fields.text || \"\";\n\t} else {\n\t\t// Tell any listeners about the need to lazily load this tiddler\n\t\tthis.dispatchEvent(\"lazyLoad\",title);\n\t\t// Indicate that the text is being loaded\n\t\treturn null;\n\t}\n};\n\n/*\nCheck whether the text of a tiddler matches a given value. By default, the comparison is case insensitive, and any spaces at either end of the tiddler text is trimmed\n*/\nexports.checkTiddlerText = function(title,targetText,options) {\n\toptions = options || {};\n\tvar text = this.getTiddlerText(title,\"\");\n\tif(!options.noTrim) {\n\t\ttext = text.trim();\n\t}\n\tif(!options.caseSensitive) {\n\t\ttext = text.toLowerCase();\n\t\ttargetText = targetText.toLowerCase();\n\t}\n\treturn text === targetText;\n}\n\n/*\nRead an array of browser File objects, invoking callback(tiddlerFieldsArray) once they're all read\n*/\nexports.readFiles = function(files,options) {\n\tvar callback;\n\tif(typeof options === \"function\") {\n\t\tcallback = options;\n\t\toptions = {};\n\t} else {\n\t\tcallback = options.callback;\n\t}\n\tvar result = [],\n\t\toutstanding = files.length,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tresult.push.apply(result,tiddlerFieldsArray);\n\t\t\tif(--outstanding === 0) {\n\t\t\t\tcallback(result);\n\t\t\t}\n\t\t};\n\tfor(var f=0; f<files.length; f++) {\n\t\tthis.readFile(files[f],$tw.utils.extend({},options,{callback: readFileCallback}));\n\t}\n\treturn files.length;\n};\n\n/*\nRead a browser File object, invoking callback(tiddlerFieldsArray) with an array of tiddler fields objects\n*/\nexports.readFile = function(file,options) {\n\tvar callback;\n\tif(typeof options === \"function\") {\n\t\tcallback = options;\n\t\toptions = {};\n\t} else {\n\t\tcallback = options.callback;\n\t}\n\t// Get the type, falling back to the filename extension\n\tvar self = this,\n\t\ttype = file.type;\n\tif(type === \"\" || !type) {\n\t\tvar dotPos = file.name.lastIndexOf(\".\");\n\t\tif(dotPos !== -1) {\n\t\t\tvar fileExtensionInfo = $tw.utils.getFileExtensionInfo(file.name.substr(dotPos));\n\t\t\tif(fileExtensionInfo) {\n\t\t\t\ttype = fileExtensionInfo.type;\n\t\t\t}\n\t\t}\n\t}\n\t// Figure out if we're reading a binary file\n\tvar contentTypeInfo = $tw.config.contentTypeInfo[type],\n\t\tisBinary = contentTypeInfo ? contentTypeInfo.encoding === \"base64\" : false;\n\t// Log some debugging information\n\tif($tw.log.IMPORT) {\n\t\tconsole.log(\"Importing file '\" + file.name + \"', type: '\" + type + \"', isBinary: \" + isBinary);\n\t}\n\t// Give the hook a chance to process the drag\n\tif($tw.hooks.invokeHook(\"th-importing-file\",{\n\t\tfile: file,\n\t\ttype: type,\n\t\tisBinary: isBinary,\n\t\tcallback: callback\n\t}) !== true) {\n\t\tthis.readFileContent(file,type,isBinary,options.deserializer,callback);\n\t}\n};\n\n/*\nLower level utility to read the content of a browser File object, invoking callback(tiddlerFieldsArray) with an array of tiddler fields objects\n*/\nexports.readFileContent = function(file,type,isBinary,deserializer,callback) {\n\tvar self = this;\n\t// Create the FileReader\n\tvar reader = new FileReader();\n\t// Onload\n\treader.onload = function(event) {\n\t\tvar text = event.target.result,\n\t\t\ttiddlerFields = {title: file.name || \"Untitled\", type: type};\n\t\tif(isBinary) {\n\t\t\tvar commaPos = text.indexOf(\",\");\n\t\t\tif(commaPos !== -1) {\n\t\t\t\ttext = text.substr(commaPos + 1);\n\t\t\t}\n\t\t}\n\t\t// Check whether this is an encrypted TiddlyWiki file\n\t\tvar encryptedJson = $tw.utils.extractEncryptedStoreArea(text);\n\t\tif(encryptedJson) {\n\t\t\t// If so, attempt to decrypt it with the current password\n\t\t\t$tw.utils.decryptStoreAreaInteractive(encryptedJson,function(tiddlers) {\n\t\t\t\tcallback(tiddlers);\n\t\t\t});\n\t\t} else {\n\t\t\t// Otherwise, just try to deserialise any tiddlers in the file\n\t\t\tcallback(self.deserializeTiddlers(type,text,tiddlerFields,{deserializer: deserializer}));\n\t\t}\n\t};\n\t// Kick off the read\n\tif(isBinary) {\n\t\treader.readAsDataURL(file);\n\t} else {\n\t\treader.readAsText(file);\n\t}\n};\n\n/*\nFind any existing draft of a specified tiddler\n*/\nexports.findDraft = function(targetTitle) {\n\tvar draftTitle = undefined;\n\tthis.forEachTiddler({includeSystem: true},function(title,tiddler) {\n\t\tif(tiddler.fields[\"draft.title\"] && tiddler.fields[\"draft.of\"] === targetTitle) {\n\t\t\tdraftTitle = title;\n\t\t}\n\t});\n\treturn draftTitle;\n}\n\n/*\nCheck whether the specified draft tiddler has been modified.\nIf the original tiddler doesn't exist, create a vanilla tiddler variable,\nto check if additional fields have been added.\n*/\nexports.isDraftModified = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(!tiddler.isDraft()) {\n\t\treturn false;\n\t}\n\tvar ignoredFields = [\"created\", \"modified\", \"title\", \"draft.title\", \"draft.of\"],\n\t\torigTiddler = this.getTiddler(tiddler.fields[\"draft.of\"]) || new $tw.Tiddler({text:\"\", tags:[]}),\n\t\ttitleModified = tiddler.fields[\"draft.title\"] !== tiddler.fields[\"draft.of\"];\n\treturn titleModified || !tiddler.isEqual(origTiddler,ignoredFields);\n};\n\n/*\nAdd a new record to the top of the history stack\ntitle: a title string or an array of title strings\nfromPageRect: page coordinates of the origin of the navigation\nhistoryTitle: title of history tiddler (defaults to $:/HistoryList)\n*/\nexports.addToHistory = function(title,fromPageRect,historyTitle) {\n\tvar story = new $tw.Story({wiki: this, historyTitle: historyTitle});\n\tstory.addToHistory(title,fromPageRect);\t\t\n};\n\n/*\nAdd a new tiddler to the story river\ntitle: a title string or an array of title strings\nfromTitle: the title of the tiddler from which the navigation originated\nstoryTitle: title of story tiddler (defaults to $:/StoryList)\noptions: see story.js\n*/\nexports.addToStory = function(title,fromTitle,storyTitle,options) {\n\tvar story = new $tw.Story({wiki: this, storyTitle: storyTitle});\n\tstory.addToStory(title,fromTitle,options);\t\t\n};\n\n/*\nGenerate a title for the draft of a given tiddler\n*/\nexports.generateDraftTitle = function(title) {\n\tvar c = 0,\n\t\tdraftTitle,\n\t\tusername = this.getTiddlerText(\"$:/status/UserName\"),\n\t\tattribution = username ? \" by \" + username : \"\";\n\tdo {\n\t\tdraftTitle = \"Draft \" + (c ? (c + 1) + \" \" : \"\") + \"of '\" + title + \"'\" + attribution;\n\t\tc++;\n\t} while(this.tiddlerExists(draftTitle));\n\treturn draftTitle;\n};\n\n/*\nInvoke the available upgrader modules\ntitles: array of tiddler titles to be processed\ntiddlers: hashmap by title of tiddler fields of pending import tiddlers. These can be modified by the upgraders. An entry with no fields indicates a tiddler that was pending import has been suppressed. When entries are added to the pending import the tiddlers hashmap may have entries that are not present in the titles array\nReturns a hashmap of messages keyed by tiddler title.\n*/\nexports.invokeUpgraders = function(titles,tiddlers) {\n\t// Collect up the available upgrader modules\n\tvar self = this;\n\tif(!this.upgraderModules) {\n\t\tthis.upgraderModules = [];\n\t\t$tw.modules.forEachModuleOfType(\"upgrader\",function(title,module) {\n\t\t\tif(module.upgrade) {\n\t\t\t\tself.upgraderModules.push(module);\n\t\t\t}\n\t\t});\n\t}\n\t// Invoke each upgrader in turn\n\tvar messages = {};\n\tfor(var t=0; t<this.upgraderModules.length; t++) {\n\t\tvar upgrader = this.upgraderModules[t],\n\t\t\tupgraderMessages = upgrader.upgrade(this,titles,tiddlers);\n\t\t$tw.utils.extend(messages,upgraderMessages);\n\t}\n\treturn messages;\n};\n\n// Determine whether a plugin by title is dynamically loadable\nexports.doesPluginRequireReload = function(title) {\n\treturn this.doesPluginInfoRequireReload(this.getPluginInfo(title) || this.getTiddlerDataCached(title));\n};\n\n// Determine whether a plugin info structure is dynamically loadable\nexports.doesPluginInfoRequireReload = function(pluginInfo) {\n\tif(pluginInfo) {\n\t\tvar foundModule = false;\n\t\t$tw.utils.each(pluginInfo.tiddlers,function(tiddler) {\n\t\t\tif(tiddler.type === \"application/javascript\" && $tw.utils.hop(tiddler,\"module-type\")) {\n\t\t\t\tfoundModule = true;\n\t\t\t}\n\t\t});\n\t\treturn foundModule;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n})();\n\n",
"type": "application/javascript",
"module-type": "wikimethod"
},
"$:/palettes/Blanca": {
"title": "$:/palettes/Blanca",
"name": "Blanca",
"description": "A clean white palette to let you focus",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #66cccc\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #ffffff\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #7897f3\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ccc\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #ffffff\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #7897f3\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #eeeeee\ntab-border-selected: #cccccc\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ffeedd\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: #eee\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #ff9900\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/Blue": {
"title": "$:/palettes/Blue",
"name": "Blue",
"description": "A blue theme",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #fff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333353\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #ddddff\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ffffff\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #5959c0\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: #ccccdd\ntab-border-selected: #ccccdd\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #eeeeff\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #666666\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #ffffff\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #ffffff\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #5959c0\ntoolbar-new-button: #5eb95e\ntoolbar-options-button: rgb(128, 88, 165)\ntoolbar-save-button: #0e90d2\ntoolbar-info-button: #0e90d2\ntoolbar-edit-button: rgb(243, 123, 29)\ntoolbar-close-button: #dd514c\ntoolbar-delete-button: #dd514c\ntoolbar-cancel-button: rgb(243, 123, 29)\ntoolbar-done-button: #5eb95e\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/Muted": {
"title": "$:/palettes/Muted",
"name": "Muted",
"description": "Bright tiddlers on a muted background",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #bbb\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #6f6f70\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #29a6ee\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #c2c1c2\nsidebar-foreground-shadow: rgba(255,255,255,0)\nsidebar-foreground: #d3d2d4\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #6f6f70\nsidebar-tab-background: #666667\nsidebar-tab-border-selected: #999\nsidebar-tab-border: #515151\nsidebar-tab-divider: #999\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: #999\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #d1d0d2\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #d5ad34\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/ContrastLight": {
"title": "$:/palettes/ContrastLight",
"name": "Contrast (Light)",
"description": "High contrast and unambiguous (light version)",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #f00\nalert-border: <<colour background>>\nalert-highlight: <<colour foreground>>\nalert-muted-foreground: #800\nbackground: #fff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: <<colour background>>\nbutton-foreground: <<colour foreground>>\nbutton-border: <<colour foreground>>\ncode-background: <<colour background>>\ncode-border: <<colour foreground>>\ncode-foreground: <<colour foreground>>\ndirty-indicator: #f00\ndownload-background: #080\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: <<colour foreground>>\ndropdown-tab-background: <<colour foreground>>\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #00a\nexternal-link-foreground: #00e\nforeground: #000\nmessage-background: <<colour foreground>>\nmessage-border: <<colour background>>\nmessage-foreground: <<colour background>>\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour foreground>>\nmodal-header-border: <<colour foreground>>\nmuted-foreground: <<colour foreground>>\nnotification-background: <<colour background>>\nnotification-border: <<colour foreground>>\npage-background: <<colour background>>\npre-background: <<colour background>>\npre-border: <<colour foreground>>\nprimary: #00f\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: <<colour background>>\nsidebar-controls-foreground: <<colour foreground>>\nsidebar-foreground-shadow: rgba(0,0,0, 0)\nsidebar-foreground: <<colour foreground>>\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: <<colour foreground>>\nsidebar-tab-background-selected: <<colour background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: <<colour foreground>>\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: <<colour foreground>>\nsidebar-tiddler-link-foreground: <<colour primary>>\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: <<colour foreground>>\ntab-border-selected: <<colour foreground>>\ntab-border: <<colour foreground>>\ntab-divider: <<colour foreground>>\ntab-foreground-selected: <<colour foreground>>\ntab-foreground: <<colour background>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #000\ntag-foreground: #fff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour foreground>>\ntiddler-controls-foreground-hover: #ddd\ntiddler-controls-foreground-selected: #fdd\ntiddler-controls-foreground: <<colour foreground>>\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: <<colour foreground>>\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: <<colour background>>\ntiddler-editor-fields-odd: <<colour background>>\ntiddler-info-background: <<colour background>>\ntiddler-info-border: <<colour foreground>>\ntiddler-info-tab-background: <<colour background>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour foreground>>\ntiddler-title-foreground: <<colour foreground>>\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour foreground>>\nvery-muted-foreground: #888888\n"
},
"$:/palettes/ContrastDark": {
"title": "$:/palettes/ContrastDark",
"name": "Contrast (Dark)",
"description": "High contrast and unambiguous (dark version)",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #f00\nalert-border: <<colour background>>\nalert-highlight: <<colour foreground>>\nalert-muted-foreground: #800\nbackground: #000\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: <<colour background>>\nbutton-foreground: <<colour foreground>>\nbutton-border: <<colour foreground>>\ncode-background: <<colour background>>\ncode-border: <<colour foreground>>\ncode-foreground: <<colour foreground>>\ndirty-indicator: #f00\ndownload-background: #080\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: <<colour foreground>>\ndropdown-tab-background: <<colour foreground>>\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #00a\nexternal-link-foreground: #00e\nforeground: #fff\nmessage-background: <<colour foreground>>\nmessage-border: <<colour background>>\nmessage-foreground: <<colour background>>\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour foreground>>\nmodal-header-border: <<colour foreground>>\nmuted-foreground: <<colour foreground>>\nnotification-background: <<colour background>>\nnotification-border: <<colour foreground>>\npage-background: <<colour background>>\npre-background: <<colour background>>\npre-border: <<colour foreground>>\nprimary: #00f\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: <<colour background>>\nsidebar-controls-foreground: <<colour foreground>>\nsidebar-foreground-shadow: rgba(0,0,0, 0)\nsidebar-foreground: <<colour foreground>>\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: <<colour foreground>>\nsidebar-tab-background-selected: <<colour background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: <<colour foreground>>\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: <<colour foreground>>\nsidebar-tiddler-link-foreground: <<colour primary>>\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: <<colour foreground>>\ntab-border-selected: <<colour foreground>>\ntab-border: <<colour foreground>>\ntab-divider: <<colour foreground>>\ntab-foreground-selected: <<colour foreground>>\ntab-foreground: <<colour background>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #fff\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour foreground>>\ntiddler-controls-foreground-hover: #ddd\ntiddler-controls-foreground-selected: #fdd\ntiddler-controls-foreground: <<colour foreground>>\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: <<colour foreground>>\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: <<colour background>>\ntiddler-editor-fields-odd: <<colour background>>\ntiddler-info-background: <<colour background>>\ntiddler-info-border: <<colour foreground>>\ntiddler-info-tab-background: <<colour background>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour foreground>>\ntiddler-title-foreground: <<colour foreground>>\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour foreground>>\nvery-muted-foreground: #888888\n"
},
"$:/palettes/DarkPhotos": {
"title": "$:/palettes/DarkPhotos",
"created": "20150402111612188",
"description": "Good with dark photo backgrounds",
"modified": "20150402112344080",
"name": "DarkPhotos",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: \nbutton-foreground: \nbutton-border: \ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #ddd\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #336438\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #ccf\nsidebar-controls-foreground: #fff\nsidebar-foreground-shadow: rgba(0,0,0, 0.5)\nsidebar-foreground: #fff\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #eee\nsidebar-tab-background-selected: rgba(255,255,255, 0.8)\nsidebar-tab-background: rgba(255,255,255, 0.4)\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: rgba(255,255,255, 0.2)\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #aaf\nsidebar-tiddler-link-foreground: #ddf\nsite-title-foreground: #fff\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ec6\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/GruvboxDark": {
"title": "$:/palettes/GruvboxDark",
"name": "Gruvbox Dark",
"description": "Retro groove color scheme",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"license": "https://github.com/morhetz/gruvbox",
"text": "alert-background: #cc241d\nalert-border: #cc241d\nalert-highlight: #d79921\nalert-muted-foreground: #504945\nbackground: #3c3836\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: #504945\nbutton-foreground: #fbf1c7\nbutton-border: transparent\ncode-background: #504945\ncode-border: #504945\ncode-foreground: #fb4934\ndiff-delete-background: #fb4934\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #b8bb26\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #fb4934\ndownload-background: #b8bb26\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #665c54\ndropdown-border: <<colour background>>\ndropdown-tab-background-selected: #ebdbb2\ndropdown-tab-background: #665c54\ndropzone-background: #98971a\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #d3869b\nexternal-link-foreground: #8ec07c\nforeground: #fbf1c7\nmenubar-background: #504945\nmenubar-foreground: <<colour foreground>>\nmessage-background: #83a598\nmessage-border: #83a598\nmessage-foreground: #3c3836\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #504945\nmodal-footer-background: #3c3836\nmodal-footer-border: #3c3836\nmodal-header-border: #3c3836\nmuted-foreground: #d5c4a1\nnotification-background: <<colour primary>>\nnotification-border: <<colour primary>>\npage-background: #282828\npre-background: #504945\npre-border: #504945\nprimary: #d79921\nselect-tag-background: #665c54\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #7c6f64\nsidebar-controls-foreground: #504945\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #fbf1c7\nsidebar-muted-foreground-hover: #7c6f64\nsidebar-muted-foreground: #504945\nsidebar-tab-background-selected: #bdae93\nsidebar-tab-background: #3c3836\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: #bdae93\nsidebar-tab-divider: <<colour page-background>>\nsidebar-tab-foreground-selected: #282828\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #458588\nsidebar-tiddler-link-foreground: #98971a\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #B48EAD\ntab-background-selected: #ebdbb2\ntab-background: #665c54\ntab-border-selected: #665c54\ntab-border: #665c54\ntab-divider: #bdae93\ntab-foreground-selected: #282828\ntab-foreground: #ebdbb2\ntable-border: #7c6f64\ntable-footer-background: #665c54\ntable-header-background: #504945\ntag-background: #d3869b\ntag-foreground: #282828\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #7c6f64\ntiddler-controls-foreground-selected: #7c6f64\ntiddler-controls-foreground: #665c54\ntiddler-editor-background: #282828\ntiddler-editor-border-image: #282828\ntiddler-editor-border: #282828\ntiddler-editor-fields-even: #504945\ntiddler-editor-fields-odd: #7c6f64\ntiddler-info-background: #32302f\ntiddler-info-border: #ebdbb2\ntiddler-info-tab-background: #ebdbb2\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #7c6f64\ntiddler-title-foreground: #a89984\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #504945\nvery-muted-foreground: #bdae93\nwikilist-background: <<colour page-background>>\nwikilist-button-background: <<colour button-background>>\nwikilist-button-foreground: <<colour button-foreground>>\nwikilist-item: <<colour background>>\nwikilist-toolbar-background: <<colour background>>\nwikilist-toolbar-foreground: <<colour foreground>>\nwikilist-title: <<colour foreground>>\nwikilist-title-svg: <<colour wikilist-title>>\nwikilist-url: <<colour muted-foreground>>\nwikilist-button-open-hover: <<colour primary>>\nwikilist-button-open: <<colour dropzone-background>>\nwikilist-button-remove: <<colour dirty-indicator>>\nwikilist-button-remove-hover: <<colour alert-background>>\nwikilist-droplink-dragover: <<colour dropzone-background>>\nwikilist-button-reveal: <<colour sidebar-tiddler-link-foreground-hover>>\nwikilist-button-reveal-hover: <<colour message-background>>"
},
"$:/palettes/Nord": {
"title": "$:/palettes/Nord",
"name": "Nord",
"description": "An arctic, north-bluish color palette.",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"license": "MIT, arcticicestudio, https://github.com/arcticicestudio/nord/blob/develop/LICENSE.md",
"text": "alert-background: #D08770\nalert-border: #D08770\nalert-highlight: #B48EAD\nalert-muted-foreground: #4C566A\nbackground: #3b4252\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: #4C566A\nbutton-foreground: #D8DEE9\nbutton-border: transparent\ncode-background: #2E3440\ncode-border: #2E3440\ncode-foreground: #BF616A\ndiff-delete-background: #BF616A\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #A3BE8C\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #BF616A\ndownload-background: #A3BE8C\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour background>>\ndropdown-tab-background-selected: #ECEFF4\ndropdown-tab-background: #4C566A\ndropzone-background: #A3BE8C\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #5E81AC\nexternal-link-foreground: #8FBCBB\nforeground: #d8dee9\nmenubar-background: #2E3440\nmenubar-foreground: #d8dee9\nmessage-background: #2E3440\nmessage-border: #2E3440\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #3b4252\nmodal-footer-background: #3b4252\nmodal-footer-border: #3b4252\nmodal-header-border: #3b4252\nmuted-foreground: #4C566A\nnotification-background: <<colour primary>>\nnotification-border: #EBCB8B\npage-background: #2e3440\npre-background: #2E3440\npre-border: #2E3440\nprimary: #5E81AC\nselect-tag-background: #3b4252\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #D8DEE9\nsidebar-controls-foreground: #4C566A\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #D8DEE9\nsidebar-muted-foreground-hover: #4C566A\nsidebar-muted-foreground: #4C566A\nsidebar-tab-background-selected: #ECEFF4\nsidebar-tab-background: #4C566A\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: #4C566A\nsidebar-tab-divider: <<colour page-background>>\nsidebar-tab-foreground-selected: #4C566A\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #A3BE8C\nsidebar-tiddler-link-foreground: #81A1C1\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #B48EAD\ntab-background-selected: #ECEFF4\ntab-background: #4C566A\ntab-border-selected: #4C566A\ntab-border: #4C566A\ntab-divider: #4C566A\ntab-foreground-selected: #4C566A\ntab-foreground: #D8DEE9\ntable-border: #4C566A\ntable-footer-background: #2e3440\ntable-header-background: #2e3440\ntag-background: #A3BE8C\ntag-foreground: #4C566A\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: \ntiddler-controls-foreground-selected: #EBCB8B\ntiddler-controls-foreground: #4C566A\ntiddler-editor-background: #2e3440\ntiddler-editor-border-image: #2e3440\ntiddler-editor-border: #2e3440\ntiddler-editor-fields-even: #2e3440\ntiddler-editor-fields-odd: #2e3440\ntiddler-info-background: #2e3440\ntiddler-info-border: #2e3440\ntiddler-info-tab-background: #2e3440\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #4C566A\ntiddler-title-foreground: #81A1C1\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #2d3038\nvery-muted-foreground: #2d3038\n"
},
"$:/palettes/Rocker": {
"title": "$:/palettes/Rocker",
"name": "Rocker",
"description": "A dark theme",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #000\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #cc0000\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ffffff\nsidebar-foreground-shadow: rgba(255,255,255, 0.0)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #000\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #ffbb99\nsidebar-tiddler-link-foreground: #cc0000\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ffbb99\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #cc0000\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/SolarFlare": {
"title": "$:/palettes/SolarFlare",
"name": "Solar Flare",
"description": "Warm, relaxing earth colours",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": ": Background Tones\n\nbase03: #002b36\nbase02: #073642\n\n: Content Tones\n\nbase01: #586e75\nbase00: #657b83\nbase0: #839496\nbase1: #93a1a1\n\n: Background Tones\n\nbase2: #eee8d5\nbase3: #fdf6e3\n\n: Accent Colors\n\nyellow: #b58900\norange: #cb4b16\nred: #dc322f\nmagenta: #d33682\nviolet: #6c71c4\nblue: #268bd2\ncyan: #2aa198\ngreen: #859900\n\n: Additional Tones (RA)\n\nbase10: #c0c4bb\nviolet-muted: #7c81b0\nblue-muted: #4e7baa\n\nyellow-hot: #ffcc44\norange-hot: #eb6d20\nred-hot: #ff2222\nblue-hot: #2298ee\ngreen-hot: #98ee22\n\n: Palette\n\n: Do not use colour macro for background and foreground\nbackground: #fdf6e3\n download-foreground: <<colour background>>\n dragger-foreground: <<colour background>>\n dropdown-background: <<colour background>>\n modal-background: <<colour background>>\n sidebar-foreground-shadow: <<colour background>>\n tiddler-background: <<colour background>>\n tiddler-border: <<colour background>>\n tiddler-link-background: <<colour background>>\n tab-background-selected: <<colour background>>\n dropdown-tab-background-selected: <<colour tab-background-selected>>\nforeground: #657b83\n dragger-background: <<colour foreground>>\n tab-foreground: <<colour foreground>>\n tab-foreground-selected: <<colour tab-foreground>>\n sidebar-tab-foreground-selected: <<colour tab-foreground-selected>>\n sidebar-tab-foreground: <<colour tab-foreground>>\n sidebar-button-foreground: <<colour foreground>>\n sidebar-controls-foreground: <<colour foreground>>\n sidebar-foreground: <<colour foreground>>\n: base03\n: base02\n: base01\n alert-muted-foreground: <<colour base01>>\n: base00\n code-foreground: <<colour base00>>\n message-foreground: <<colour base00>>\n tag-foreground: <<colour base00>>\n: base0\n sidebar-tiddler-link-foreground: <<colour base0>>\n: base1\n muted-foreground: <<colour base1>>\n blockquote-bar: <<colour muted-foreground>>\n dropdown-border: <<colour muted-foreground>>\n sidebar-muted-foreground: <<colour muted-foreground>>\n tiddler-title-foreground: <<colour muted-foreground>>\n site-title-foreground: <<colour tiddler-title-foreground>>\n: base2\n modal-footer-background: <<colour base2>>\n page-background: <<colour base2>>\n modal-backdrop: <<colour page-background>>\n notification-background: <<colour page-background>>\n code-background: <<colour page-background>>\n code-border: <<colour code-background>>\n pre-background: <<colour page-background>>\n pre-border: <<colour pre-background>>\n sidebar-tab-background-selected: <<colour page-background>>\n table-header-background: <<colour base2>>\n tag-background: <<colour base2>>\n tiddler-editor-background: <<colour base2>>\n tiddler-info-background: <<colour base2>>\n tiddler-info-tab-background: <<colour base2>>\n tab-background: <<colour base2>>\n dropdown-tab-background: <<colour tab-background>>\n: base3\n alert-background: <<colour base3>>\n message-background: <<colour base3>>\n: yellow\n: orange\n: red\n: magenta\n alert-highlight: <<colour magenta>>\n: violet\n external-link-foreground: <<colour violet>>\n: blue\n: cyan\n: green\n: base10\n tiddler-controls-foreground: <<colour base10>>\n: violet-muted\n external-link-foreground-visited: <<colour violet-muted>>\n: blue-muted\n primary: <<colour blue-muted>>\n download-background: <<colour primary>>\n tiddler-link-foreground: <<colour primary>>\n\nalert-border: #b99e2f\ndirty-indicator: #ff0000\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nmessage-border: #cfd6e6\nmodal-border: #999999\nselect-tag-background:\nselect-tag-foreground:\nsidebar-controls-foreground-hover:\nsidebar-muted-foreground-hover:\nsidebar-tab-background: #ded8c5\nsidebar-tiddler-link-foreground-hover:\nstatic-alert-foreground: #aaaaaa\ntab-border: #cccccc\n modal-footer-border: <<colour tab-border>>\n modal-header-border: <<colour tab-border>>\n notification-border: <<colour tab-border>>\n sidebar-tab-border: <<colour tab-border>>\n tab-border-selected: <<colour tab-border>>\n sidebar-tab-border-selected: <<colour tab-border-selected>>\ntab-divider: #d8d8d8\n sidebar-tab-divider: <<colour tab-divider>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-border: #dddddd\ntiddler-subtitle-foreground: #c0c0c0\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/SolarizedLight": {
"title": "$:/palettes/SolarizedLight",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"description": "Precision colors for machines and people",
"license": "MIT, Ethan Schoonover, https://github.com/altercation/solarized/blob/master/LICENSE",
"name": "SolarizedLight",
"text": "alert-background: #eee8d5\nalert-border: #073642\nalert-highlight: #cb4b16\nalert-muted-foreground: #586e75\nbackground: #fdf6e3\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: #cb4b16\nbutton-foreground: #fdf6e3\nbutton-border: transparent\ncode-background: #eee8d5\ncode-border: #93a1a1\ncode-foreground: #d33682\ndiff-delete-background: #BF616A\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #859900\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #D08770\ndownload-background: #859900\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour background>>\ndropdown-tab-background-selected: #fdf6e3\ndropdown-tab-background: #93a1a1\ndropzone-background: #859900\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: #d33682\nexternal-link-foreground-visited: #b58900\nexternal-link-foreground: #cb4b16\nforeground: #839496\nmessage-background: #586e75\nmessage-border: #586e75\nmessage-foreground: #eee8d5\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #eee8d5\nmodal-footer-background: #eee8d5\nmodal-footer-border: #eee8d5\nmodal-header-border: #eee8d5\nmuted-foreground: #93a1a1\nnotification-background: #EBCB8B\nnotification-border: #D08770\npage-background: #eee8d5\npre-background: #eee8d5\npre-border: #93a1a1\nprimary: #2aa198\nselect-tag-background: #eee8d5\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: #eee8d5\nsidebar-controls-foreground-hover: #268bd2\nsidebar-controls-foreground: #586e75\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #839496\nsidebar-muted-foreground-hover: #657b83\nsidebar-muted-foreground: #93a1a1\nsidebar-tab-background-selected: #eee8d5\nsidebar-tab-background: #839496\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: #657b83\nsidebar-tab-divider: <<colour page-background>>\nsidebar-tab-foreground-selected: #839496\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #859900\nsidebar-tiddler-link-foreground: #268bd2\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #dc322f\ntab-background-selected: #fdf6e3\ntab-background: #839496\ntab-border-selected: #93a1a1\ntab-border: #93a1a1\ntab-divider: #fdf6e3\ntab-foreground-selected: #839496\ntab-foreground: #eee8d5\ntable-border: #657b83\ntable-footer-background: #657b83\ntable-header-background: #93a1a1\ntag-background: #6c71c4\ntag-foreground: #eee8d5\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #b58900\ntiddler-controls-foreground-selected: #b58900\ntiddler-controls-foreground: #073642\ntiddler-editor-background: #eee8d5\ntiddler-editor-border-image: #eee8d5\ntiddler-editor-border: #eee8d5\ntiddler-editor-fields-even: #eee8d5\ntiddler-editor-fields-odd: #fdf6e3\ntiddler-info-background: #eee8d5\ntiddler-info-border: #eee8d5\ntiddler-info-tab-background: #586e75\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #586e75\ntiddler-title-foreground: #073642\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #839496\nvery-muted-foreground: #93a1a1\n"
},
"$:/palettes/SpartanDay": {
"title": "$:/palettes/SpartanDay",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"description": "Cold, spartan day colors",
"name": "Spartan Day",
"text": "alert-background: <<colour background>>\nalert-border: <<colour very-muted-foreground>>\nalert-highlight: <<colour very-muted-foreground>>\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #FAFAFA\nblockquote-bar: <<colour page-background>>\nbutton-background: transparent\nbutton-foreground: inherit\nbutton-border: <<colour tag-background>>\ncode-background: #ececec\ncode-border: #ececec\ncode-foreground: \ndirty-indicator: #c80000\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #FFFFFF\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: <<colour dropdown-background>>\ndropdown-tab-background: #F5F5F5\ndropzone-background: <<colour tag-background>>\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: \nexternal-link-foreground-visited: \nexternal-link-foreground: \nforeground: rgba(0, 0, 0, 0.87)\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(0, 0, 0, 0.54)\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour very-muted-foreground>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: rgba(0, 0, 0, 0.54)\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #f4f4f4\npre-background: #ececec\npre-border: #ececec\nprimary: #3949ab\nselect-tag-background: <<colour background>>\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #aeaeae\nsidebar-controls-foreground: #c6c6c6\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(0, 0, 0, 0.54)\nsidebar-muted-foreground-hover: rgba(0, 0, 0, 0.54)\nsidebar-muted-foreground: rgba(0, 0, 0, 0.38)\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: transparent\nsidebar-tab-border-selected: <<colour table-border>>\nsidebar-tab-border: transparent\nsidebar-tab-divider: <<colour table-border>>\nsidebar-tab-foreground-selected: rgba(0, 0, 0, 0.87)\nsidebar-tab-foreground: rgba(0, 0, 0, 0.54)\nsidebar-tiddler-link-foreground-hover: rgba(0, 0, 0, 0.87)\nsidebar-tiddler-link-foreground: rgba(0, 0, 0, 0.54)\nsite-title-foreground: rgba(0, 0, 0, 0.87)\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: transparent\ntab-border-selected: <<colour table-border>>\ntab-border: transparent\ntab-divider: <<colour table-border>>\ntab-foreground-selected: rgba(0, 0, 0, 0.87)\ntab-foreground: rgba(0, 0, 0, 0.54)\ntable-border: #d8d8d8\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: #ec6\ntag-foreground: <<colour button-foreground>>\ntiddler-background: <<colour background>>\ntiddler-border: #f9f9f9\ntiddler-controls-foreground-hover: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground-selected: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground: <<colour sidebar-controls-foreground>>\ntiddler-editor-background: transparent\ntiddler-editor-border-image: \ntiddler-editor-border: #e8e7e7\ntiddler-editor-fields-even: rgba(0, 0, 0, 0.1)\ntiddler-editor-fields-odd: rgba(0, 0, 0, 0.04)\ntiddler-info-background: #F5F5F5\ntiddler-info-border: #F5F5F5\ntiddler-info-tab-background: <<colour tiddler-editor-fields-odd>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #000000\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: rgba(0, 0, 0, 0.12)\n"
},
"$:/palettes/SpartanNight": {
"title": "$:/palettes/SpartanNight",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"description": "Dark spartan colors",
"name": "Spartan Night",
"text": "alert-background: <<colour background>>\nalert-border: <<colour very-muted-foreground>>\nalert-highlight: <<colour very-muted-foreground>>\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #303030\nblockquote-bar: <<colour page-background>>\nbutton-background: transparent\nbutton-foreground: inherit\nbutton-border: <<colour tag-background>>\ncode-background: <<colour pre-background>>\ncode-border: <<colour pre-border>>\ncode-foreground: rgba(255, 255, 255, 0.54)\ndirty-indicator: #c80000\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #424242\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: <<colour dropdown-background>>\ndropdown-tab-background: #050505\ndropzone-background: <<colour tag-background>>\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: \nexternal-link-foreground-visited: #7c318c\nexternal-link-foreground: #9e3eb3\nforeground: rgba(255, 255, 255, 0.7)\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(255, 255, 255, 0.54)\nmodal-backdrop: <<colour page-background>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour background>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: rgba(255, 255, 255, 0.54)\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #212121\npre-background: #2a2a2a\npre-border: transparent\nprimary: #5656f3\nselect-tag-background: <<colour background>>\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #494949\nsidebar-controls-foreground: #5d5d5d\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground-hover: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground: rgba(255, 255, 255, 0.38)\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: transparent\nsidebar-tab-border-selected: <<colour table-border>>\nsidebar-tab-border: transparent\nsidebar-tab-divider: <<colour table-border>>\nsidebar-tab-foreground-selected: rgba(255, 255, 255, 0.87)\nsidebar-tab-foreground: rgba(255, 255, 255, 0.54)\nsidebar-tiddler-link-foreground-hover: rgba(255, 255, 255, 0.7)\nsidebar-tiddler-link-foreground: rgba(255, 255, 255, 0.54)\nsite-title-foreground: rgba(255, 255, 255, 0.7)\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: transparent\ntab-border-selected: <<colour table-border>>\ntab-border: transparent\ntab-divider: <<colour table-border>>\ntab-foreground-selected: rgba(255, 255, 255, 0.87)\ntab-foreground: rgba(255, 255, 255, 0.54)\ntable-border: #3a3a3a\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: #ec6\ntag-foreground: <<colour button-foreground>>\ntiddler-background: <<colour background>>\ntiddler-border: rgb(55,55,55)\ntiddler-controls-foreground-hover: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground-selected: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground: <<colour sidebar-controls-foreground>>\ntiddler-editor-background: transparent\ntiddler-editor-border-image: \ntiddler-editor-border: rgba(255, 255, 255, 0.08)\ntiddler-editor-fields-even: rgba(255, 255, 255, 0.1)\ntiddler-editor-fields-odd: rgba(255, 255, 255, 0.04)\ntiddler-info-background: #454545\ntiddler-info-border: #454545\ntiddler-info-tab-background: <<colour tiddler-editor-fields-odd>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #FFFFFF\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: rgba(255, 255, 255, 0.12)\n"
},
"$:/palettes/Twilight": {
"title": "$:/palettes/Twilight",
"tags": "$:/tags/Palette",
"author": "Thomas Elmiger",
"type": "application/x-tiddler-dictionary",
"name": "Twilight",
"description": "Delightful, soft darkness.",
"text": "alert-background: rgb(255, 255, 102)\nalert-border: rgb(232, 232, 125)\nalert-highlight: rgb(255, 51, 51)\nalert-muted-foreground: rgb(224, 82, 82)\nbackground: rgb(38, 38, 38)\nblockquote-bar: rgba(240, 196, 117, 0.7)\nbutton-background: rgb(63, 63, 63)\nbutton-border: rgb(127, 127, 127)\nbutton-foreground: rgb(179, 179, 179)\ncode-background: rgba(0,0,0,0.03)\ncode-border: rgba(0,0,0,0.08)\ncode-foreground: rgb(255, 94, 94)\ndiff-delete-background: #ffc9c9\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #aaefad\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: rgb(255, 94, 94)\ndownload-background: #19a974\ndownload-foreground: rgb(38, 38, 38)\ndragger-background: rgb(179, 179, 179)\ndragger-foreground: rgb(38, 38, 38)\ndropdown-background: rgb(38, 38, 38)\ndropdown-border: rgb(255, 255, 255)\ndropdown-tab-background: rgba(0,0,0,.1)\ndropdown-tab-background-selected: rgba(255,255,255,1)\ndropzone-background: #9eebcf\nexternal-link-background: inherit\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-foreground: rgb(179, 179, 255)\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: rgb(153, 153, 255)\nforeground: rgb(179, 179, 179)\nmessage-background: <<colour tag-foreground>>\nmessage-border: #96ccff\nmessage-foreground: <<colour tag-background>>\nmodal-backdrop: rgb(179, 179, 179)\nmodal-background: rgb(38, 38, 38)\nmodal-border: rgba(0,0,0,.5)\nmodal-footer-background: #f4f4f4\nmodal-footer-border: rgba(0,0,0,.1)\nmodal-header-border: rgba(0,0,0,.2)\nmuted-foreground: rgb(255, 255, 255)\nnotification-background: <<colour tag-foreground>>\nnotification-border: <<colour tag-background>>\npage-background: rgb(26, 26, 26)\npre-background: rgb(25, 25, 25)\npre-border: rgba(0,0,0,.2)\nprimary: rgb(255, 201, 102)\nselect-tag-background: \nselect-tag-foreground: \nsidebar-button-foreground: rgb(179, 179, 179)\nsidebar-controls-foreground: rgb(153, 153, 153)\nsidebar-controls-foreground-hover: <<colour tiddler-controls-foreground-hover>>\nsidebar-foreground: rgb(141, 141, 141)\nsidebar-foreground-shadow: transparent\nsidebar-muted-foreground: rgba(0, 0, 0, 0.5)\nsidebar-muted-foreground-hover: rgb(141, 141, 141)\nsidebar-tab-background: rgba(141, 141, 141, 0.2)\nsidebar-tab-background-selected: rgb(26, 26, 26)\nsidebar-tab-border: rgb(127, 127, 127)\nsidebar-tab-border-selected: rgb(127, 127, 127)\nsidebar-tab-divider: rgb(127, 127, 127)\nsidebar-tab-foreground: rgb(179, 179, 179)\nsidebar-tab-foreground-selected: rgb(179, 179, 179)\nsidebar-tiddler-link-foreground: rgb(179, 179, 179)\nsidebar-tiddler-link-foreground-hover: rgb(115, 115, 115)\nsite-title-foreground: rgb(255, 201, 102)\nstatic-alert-foreground: rgba(0,0,0,.3)\ntab-background: rgba(0,0,0,0.125)\ntab-background-selected: rgb(38, 38, 38)\ntab-border: rgb(255, 201, 102)\ntab-border-selected: rgb(255, 201, 102)\ntab-divider: rgb(255, 201, 102)\ntab-foreground: rgb(179, 179, 179)\ntab-foreground-selected: rgb(179, 179, 179)\ntable-border: rgba(255,255,255,.3)\ntable-footer-background: rgba(0,0,0,.4)\ntable-header-background: rgba(0,0,0,.1)\ntag-background: rgb(255, 201, 102)\ntag-foreground: rgb(25, 25, 25)\ntiddler-background: rgb(38, 38, 38)\ntiddler-border: rgba(240, 196, 117, 0.7)\ntiddler-controls-foreground: rgb(128, 128, 128)\ntiddler-controls-foreground-hover: rgba(255, 255, 255, 0.8)\ntiddler-controls-foreground-selected: rgba(255, 255, 255, 0.9)\ntiddler-editor-background: rgb(33, 33, 33)\ntiddler-editor-border: rgb(63, 63, 63)\ntiddler-editor-border-image: rgb(25, 25, 25)\ntiddler-editor-fields-even: rgb(33, 33, 33)\ntiddler-editor-fields-odd: rgb(28, 28, 28)\ntiddler-info-background: rgb(43, 43, 43)\ntiddler-info-border: rgb(25, 25, 25)\ntiddler-info-tab-background: rgb(43, 43, 43)\ntiddler-link-background: rgb(38, 38, 38)\ntiddler-link-foreground: rgb(204, 204, 255)\ntiddler-subtitle-foreground: rgb(255, 255, 255)\ntiddler-title-foreground: rgb(255, 192, 76)\ntoolbar-cancel-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-done-button: \ntoolbar-edit-button: \ntoolbar-info-button: \ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \nuntagged-background: rgb(255, 255, 255)\nvery-muted-foreground: rgba(240, 196, 117, 0.7)\n"
},
"$:/palettes/Vanilla": {
"title": "$:/palettes/Vanilla",
"name": "Vanilla",
"description": "Pale and unobtrusive",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndiff-delete-background: #ffc9c9\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #aaefad\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #bbb\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #f4f4f4\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #aaaaaa\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #f4f4f4\nsidebar-tab-background: #e0e0e0\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: #e4e4e4\nsidebar-tab-foreground-selected:\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #999999\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ec6\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\nwikilist-background: #e5e5e5\nwikilist-item: #fff\nwikilist-info: #000\nwikilist-title: #666\nwikilist-title-svg: <<colour wikilist-title>>\nwikilist-url: #aaa\nwikilist-button-open: #4fb82b\nwikilist-button-open-hover: green\nwikilist-button-reveal: #5778d8\nwikilist-button-reveal-hover: blue\nwikilist-button-remove: #d85778\nwikilist-button-remove-hover: red\nwikilist-toolbar-background: #d3d3d3\nwikilist-toolbar-foreground: #888\nwikilist-droplink-dragover: rgba(255,192,192,0.5)\nwikilist-button-background: #acacac\nwikilist-button-foreground: #000\n"
},
"$:/core/readme": {
"title": "$:/core/readme",
"text": "This plugin contains TiddlyWiki's core components, comprising:\n\n* JavaScript code modules\n* Icons\n* Templates needed to create TiddlyWiki's user interface\n* British English (''en-GB'') translations of the localisable strings used by the core\n"
},
"$:/library/sjcl.js/license": {
"title": "$:/library/sjcl.js/license",
"type": "text/plain",
"text": "SJCL is open. You can use, modify and redistribute it under a BSD\nlicense or under the GNU GPL, version 2.0.\n\n---------------------------------------------------------------------\n\nhttp://opensource.org/licenses/BSD-2-Clause\n\nCopyright (c) 2009-2015, Emily Stark, Mike Hamburg and Dan Boneh at\nStanford University. All rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are\nmet:\n\n1. Redistributions of source code must retain the above copyright\nnotice, this list of conditions and the following disclaimer.\n\n2. Redistributions in binary form must reproduce the above copyright\nnotice, this list of conditions and the following disclaimer in the\ndocumentation and/or other materials provided with the distribution.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS\nIS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED\nTO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A\nPARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT\nHOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,\nSPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED\nTO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR\nPROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF\nLIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING\nNEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\nSOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n\n---------------------------------------------------------------------\n\nhttp://opensource.org/licenses/GPL-2.0\n\nThe Stanford Javascript Crypto Library (hosted here on GitHub) is a\nproject by the Stanford Computer Security Lab to build a secure,\npowerful, fast, small, easy-to-use, cross-browser library for\ncryptography in Javascript.\n\nCopyright (c) 2009-2015, Emily Stark, Mike Hamburg and Dan Boneh at\nStanford University.\n\nThis program is free software; you can redistribute it and/or modify it\nunder the terms of the GNU General Public License as published by the\nFree Software Foundation; either version 2 of the License, or (at your\noption) any later version.\n\nThis program is distributed in the hope that it will be useful, but\nWITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General\nPublic License for more details.\n\nYou should have received a copy of the GNU General Public License along\nwith this program; if not, write to the Free Software Foundation, Inc.,\n59 Temple Place, Suite 330, Boston, MA 02111-1307 USA"
},
"$:/core/templates/MOTW.html": {
"title": "$:/core/templates/MOTW.html",
"text": "\\rules only filteredtranscludeinline transcludeinline entity\n<!-- The following comment is called a MOTW comment and is necessary for the TiddlyIE Internet Explorer extension -->\n<!-- saved from url=(0021)https://tiddlywiki.com --> "
},
"$:/core/templates/alltiddlers.template.html": {
"title": "$:/core/templates/alltiddlers.template.html",
"type": "text/vnd.tiddlywiki-html",
"text": "<!-- This template is provided for backwards compatibility with older versions of TiddlyWiki -->\n\n<$set name=\"exportFilter\" value=\"[!is[system]sort[title]]\">\n\n{{$:/core/templates/exporters/StaticRiver}}\n\n</$set>\n"
},
"$:/core/templates/canonical-uri-external-image": {
"title": "$:/core/templates/canonical-uri-external-image",
"text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external images.\n\nChange the `./images/` part to a different base URI. The URI can be relative or absolute.\n\n-->\n./images/<$view field=\"title\" format=\"doubleurlencoded\"/>"
},
"$:/core/templates/canonical-uri-external-raw": {
"title": "$:/core/templates/canonical-uri-external-raw",
"text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external raw files that are stored in the same directory\n\n-->\n<$view field=\"title\" format=\"doubleurlencoded\"/>"
},
"$:/core/templates/canonical-uri-external-text": {
"title": "$:/core/templates/canonical-uri-external-text",
"text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external text files.\n\nChange the `./text/` part to a different base URI. The URI can be relative or absolute.\n\n-->\n./text/<$view field=\"title\" format=\"doubleurlencoded\"/>.tid"
},
"$:/core/templates/css-tiddler": {
"title": "$:/core/templates/css-tiddler",
"text": "<!--\n\nThis template is used for saving CSS tiddlers as a style tag with data attributes representing the tiddler fields.\n\n-->`<style`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/css\">`<$view field=\"text\" format=\"text\" />`</style>`"
},
"$:/core/templates/exporters/CsvFile": {
"title": "$:/core/templates/exporters/CsvFile",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/CsvFile}}",
"extension": ".csv",
"text": "\\define renderContent()\n<$text text=<<csvtiddlers filter:\"\"\"$(exportFilter)$\"\"\" format:\"quoted-comma-sep\">>/>\n\\end\n<<renderContent>>\n"
},
"$:/core/templates/exporters/JsonFile": {
"title": "$:/core/templates/exporters/JsonFile",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/JsonFile}}",
"extension": ".json",
"text": "\\define renderContent()\n<$text text=<<jsontiddlers filter:\"\"\"$(exportFilter)$\"\"\">>/>\n\\end\n<<renderContent>>\n"
},
"$:/core/templates/exporters/StaticRiver": {
"title": "$:/core/templates/exporters/StaticRiver",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/StaticRiver}}",
"extension": ".html",
"text": "\\define tv-wikilink-template() #$uri_encoded$\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n<section class=\"tc-story-river\">\n{{$:/core/templates/exporters/StaticRiver/Content||$:/core/templates/html-tiddler}}\n</section>\n</body>\n</html>\n"
},
"$:/core/templates/exporters/StaticRiver/Content": {
"title": "$:/core/templates/exporters/StaticRiver/Content",
"text": "\\define renderContent()\n{{{ $(exportFilter)$ ||$:/core/templates/static-tiddler}}}\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n<<renderContent>>\n"
},
"$:/core/templates/exporters/TidFile": {
"title": "$:/core/templates/exporters/TidFile",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/TidFile}}",
"extension": ".tid",
"text": "\\define renderContent()\n{{{ $(exportFilter)$ +[limit[1]] ||$:/core/templates/tid-tiddler}}}\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n<<renderContent>>"
},
"$:/core/save/all-external-js": {
"title": "$:/core/save/all-external-js",
"text": "\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/core]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] $(publishFilter)$\n\\end\n{{$:/core/templates/tiddlywiki5-external-js.html}}\n"
},
"$:/core/templates/tiddlywiki5.js": {
"title": "$:/core/templates/tiddlywiki5.js",
"text": "\\rules only filteredtranscludeinline transcludeinline codeinline\n\n/*\n{{ $:/core/copyright.txt ||$:/core/templates/plain-text-tiddler}}\n`*/\n`<!--~~ Library modules ~~-->\n{{{ [is[system]type[application/javascript]library[yes]] ||$:/core/templates/plain-text-tiddler}}}\n<!--~~ Boot prefix ~~-->\n{{ $:/boot/bootprefix.js ||$:/core/templates/plain-text-tiddler}}\n<!--~~ Core plugin ~~-->\n{{$:/core/templates/tiddlywiki5.js/tiddlers}}\n<!--~~ Boot kernel ~~-->\n{{ $:/boot/boot.js ||$:/core/templates/plain-text-tiddler}}\n"
},
"$:/core/templates/tiddlywiki5.js/tiddlers": {
"title": "$:/core/templates/tiddlywiki5.js/tiddlers",
"text": "`\n$tw.preloadTiddlerArray(`<$text text=<<jsontiddlers \"[[$:/core]]\">>/>`);\n$tw.preloadTiddlerArray([{\n\ttitle: \"$:/config/SaveWikiButton/Template\",\n\ttext: \"$:/core/save/all-external-js\"\n}]);\n`\n"
},
"$:/core/templates/tiddlywiki5-external-js.html": {
"title": "$:/core/templates/tiddlywiki5-external-js.html",
"text": "\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n{{$:/core/templates/MOTW.html}}<html lang=\"`<$text text={{{ [{$:/language}get[name]] }}}/>`\">\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<!--~~ Raw markup for the top of the head section ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified/TopHead]] ||$:/core/templates/raw-static-tiddler}}}\n<meta http-equiv=\"X-UA-Compatible\" content=\"IE=Edge\"/>\n<meta name=\"application-name\" content=\"TiddlyWiki\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\" />\n<meta name=\"copyright\" content=\"{{$:/core/copyright.txt}}\" />\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<!--~~ This is a Tiddlywiki file. The points of interest in the file are marked with this pattern ~~-->\n\n<!--~~ Raw markup ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/core/wiki/rawmarkup]] [all[shadows+tiddlers]tag[$:/tags/RawMarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified]] ||$:/core/templates/raw-static-tiddler}}}\n</head>\n<body class=\"tc-body\">\n<!--~~ Raw markup for the top of the body section ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified/TopBody]] ||$:/core/templates/raw-static-tiddler}}}\n<!--~~ Static styles ~~-->\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<!--~~ Static content for Google and browsers without JavaScript ~~-->\n<noscript>\n<div id=\"splashArea\">\n{{$:/core/templates/static.area}}\n</div>\n</noscript>\n<!--~~ Ordinary tiddlers ~~-->\n{{$:/core/templates/store.area.template.html}}\n<!--~~ Raw markup for the bottom of the body section ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified/BottomBody]] ||$:/core/templates/raw-static-tiddler}}}\n</body>\n<script src=\"%24%3A%2Fcore%2Ftemplates%2Ftiddlywiki5.js\" onerror=\"alert('Error: Cannot load tiddlywiki.js');\"></script>\n</html>\n"
},
"$:/core/templates/html-div-skinny-tiddler": {
"title": "$:/core/templates/html-div-skinny-tiddler",
"text": "<!--\n\nThis template is a variant of $:/core/templates/html-div-tiddler used for saving skinny tiddlers (with no text field)\n\n-->`<div`<$fields template=' $name$=\"$encoded_value$\"'></$fields>`>\n<pre></pre>\n</div>`\n"
},
"$:/core/templates/html-div-tiddler": {
"title": "$:/core/templates/html-div-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as an HTML DIV tag with attributes representing the tiddler fields.\n\n-->`<div`<$fields template=' $name$=\"$encoded_value$\"'></$fields>`>\n<pre>`<$view field=\"text\" format=\"htmlencoded\" />`</pre>\n</div>`\n"
},
"$:/core/templates/html-tiddler": {
"title": "$:/core/templates/html-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as raw HTML\n\n--><$view field=\"text\" format=\"htmlwikified\" />"
},
"$:/core/templates/javascript-tiddler": {
"title": "$:/core/templates/javascript-tiddler",
"text": "<!--\n\nThis template is used for saving JavaScript tiddlers as a script tag with data attributes representing the tiddler fields.\n\n-->`<script`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/javascript\">`<$view field=\"text\" format=\"text\" />`</script>`"
},
"$:/core/templates/json-tiddler": {
"title": "$:/core/templates/json-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as raw JSON\n\n--><$text text=<<jsontiddler>>/>"
},
"$:/core/templates/module-tiddler": {
"title": "$:/core/templates/module-tiddler",
"text": "<!--\n\nThis template is used for saving JavaScript tiddlers as a script tag with data attributes representing the tiddler fields. The body of the tiddler is wrapped in a call to the `$tw.modules.define` function in order to define the body of the tiddler as a module\n\n-->`<script`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/javascript\" data-module=\"yes\">$tw.modules.define(\"`<$view field=\"title\" format=\"jsencoded\" />`\",\"`<$view field=\"module-type\" format=\"jsencoded\" />`\",function(module,exports,require) {`<$view field=\"text\" format=\"text\" />`});\n</script>`"
},
"$:/core/templates/plain-text-tiddler": {
"title": "$:/core/templates/plain-text-tiddler",
"text": "<$view field=\"text\" format=\"text\" />"
},
"$:/core/templates/raw-static-tiddler": {
"title": "$:/core/templates/raw-static-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as static HTML\n\n--><$view field=\"text\" format=\"plainwikified\" />"
},
"$:/core/save/all": {
"title": "$:/core/save/all",
"text": "\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] $(publishFilter)$\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/save/empty": {
"title": "$:/core/save/empty",
"text": "\\define saveTiddlerFilter()\n[is[system]] -[prefix[$:/state/popup/]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/save/lazy-all": {
"title": "$:/core/save/lazy-all",
"text": "\\define saveTiddlerFilter()\n[is[system]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] \n\\end\n\\define skinnySaveTiddlerFilter()\n[!is[system]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/save/lazy-images": {
"title": "$:/core/save/lazy-images",
"text": "\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] -[!is[system]is[image]] +[sort[title]] \n\\end\n\\define skinnySaveTiddlerFilter()\n[is[image]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/templates/server/static.sidebar.wikitext": {
"title": "$:/core/templates/server/static.sidebar.wikitext",
"text": "\\whitespace trim\n<div class=\"tc-sidebar-scrollable\" style=\"overflow: auto;\">\n<div class=\"tc-sidebar-header\">\n<h1 class=\"tc-site-title\">\n<$transclude tiddler=\"$:/SiteTitle\"/>\n</h1>\n<div class=\"tc-site-subtitle\">\n<$transclude tiddler=\"$:/SiteSubtitle\"/>\n</div>\n<h2>\n</h2>\n<div class=\"tc-sidebar-lists\">\n<$list filter={{$:/DefaultTiddlers}}>\n<div class=\"tc-menu-list-subitem\">\n<$link><$text text=<<currentTiddler>>/></$link>\n</div>\n</$list>\n</div>\n<!-- Currently disabled the recent list as it is unweildy when the responsive narrow view kicks in\n<h2>\n{{$:/language/SideBar/Recent/Caption}}\n</h2>\n<div class=\"tc-sidebar-lists\">\n<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n</div>\n</div>\n</div>\n-->\n"
},
"$:/core/templates/server/static.tiddler.html": {
"title": "$:/core/templates/server/static.tiddler.html",
"text": "\\whitespace trim\n\\define tv-wikilink-template() $uri_encoded$\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content={{$:/core/templates/version}} />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<link rel=\"stylesheet\" href=\"%24%3A%2Fcore%2Ftemplates%2Fstatic.template.css\">\n<title><$view field=\"caption\" format=\"plainwikified\"><$view field=\"title\"/></$view>: <$view tiddler=\"$:/core/wiki/title\" format=\"plainwikified\"/></title>\n</head>\n<body class=\"tc-body\">\n<$transclude tiddler=\"$:/core/templates/server/static.sidebar.wikitext\" mode=\"inline\"/>\n<section class=\"tc-story-river\">\n<div class=\"tc-tiddler-frame\">\n<$transclude tiddler=\"$:/core/templates/server/static.tiddler.wikitext\" mode=\"inline\"/>\n</div>\n</section>\n</body>\n</html>"
},
"$:/core/templates/server/static.tiddler.wikitext": {
"title": "$:/core/templates/server/static.tiddler.wikitext",
"text": "\\whitespace trim\n<div class=\"tc-tiddler-title\">\n<div class=\"tc-titlebar\">\n<h2><$text text=<<currentTiddler>>/></h2>\n</div>\n</div>\n<div class=\"tc-subtitle\">\n<$link to={{!!modifier}}>\n<$view field=\"modifier\"/>\n</$link> <$view field=\"modified\" format=\"date\" template={{$:/language/Tiddler/DateFormat}}/>\n</div>\n<div class=\"tc-tags-wrapper\">\n<$list filter=\"[all[current]tags[]sort[title]]\">\n<a href={{{ [<currentTiddler>encodeuricomponent[]] }}}>\n<$macrocall $name=\"tag-pill\" tag=<<currentTiddler>>/>\n</a>\n</$list>\n</div>\n<div class=\"tc-tiddler-body\">\n<$transclude mode=\"block\"/>\n</div>\n"
},
"$:/core/templates/single.tiddler.window": {
"title": "$:/core/templates/single.tiddler.window",
"text": "\\whitespace trim\n\\define containerClasses()\ntc-page-container tc-page-view-$(storyviewTitle)$ tc-language-$(languageTitle)$\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<$set name=\"tv-config-toolbar-icons\" value={{$:/config/Toolbar/Icons}}>\n\n<$set name=\"tv-config-toolbar-text\" value={{$:/config/Toolbar/Text}}>\n\n<$set name=\"tv-config-toolbar-class\" value={{$:/config/Toolbar/ButtonClass}}>\n\n<$set name=\"tv-show-missing-links\" value={{$:/config/MissingLinks}}>\n\n<$set name=\"storyviewTitle\" value={{$:/view}}>\n\n<$set name=\"languageTitle\" value={{{ [{$:/language}get[name]] }}}>\n\n<div class=<<containerClasses>>>\n\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\">\n\n<$transclude mode=\"block\"/>\n\n</$navigator>\n\n</div>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n"
},
"$:/core/templates/split-recipe": {
"title": "$:/core/templates/split-recipe",
"text": "<$list filter=\"[!is[system]]\">\ntiddler: <$view field=\"title\" format=\"urlencoded\"/>.tid\n</$list>\n"
},
"$:/core/templates/static-tiddler": {
"title": "$:/core/templates/static-tiddler",
"text": "<a name=<<currentTiddler>>>\n<$transclude tiddler=\"$:/core/ui/ViewTemplate\"/>\n</a>"
},
"$:/core/templates/static.area": {
"title": "$:/core/templates/static.area",
"text": "<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawStaticContent]!has[draft.of]] ||$:/core/templates/raw-static-tiddler}}}\n{{$:/core/templates/static.content||$:/core/templates/html-tiddler}}\n</$reveal>\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\nThis file contains an encrypted ~TiddlyWiki. Enable ~JavaScript and enter the decryption password when prompted.\n</$reveal>\n<!-- ensure splash screen isn't shown when JS is disabled -->\n`<style>\n.tc-remove-when-wiki-loaded {display: none;}\n</style>`\n"
},
"$:/core/templates/static.content": {
"title": "$:/core/templates/static.content",
"text": "<!-- For Google, and people without JavaScript-->\nThis [[TiddlyWiki|https://tiddlywiki.com]] contains the following tiddlers:\n\n<ul>\n<$list filter=<<saveTiddlerFilter>>>\n<li><$view field=\"title\" format=\"text\"></$view></li>\n</$list>\n</ul>\n"
},
"$:/core/templates/static.template.css": {
"title": "$:/core/templates/static.template.css",
"text": "{{$:/boot/boot.css||$:/core/templates/plain-text-tiddler}}\n\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n"
},
"$:/core/templates/static.template.html": {
"title": "$:/core/templates/static.template.html",
"type": "text/vnd.tiddlywiki-html",
"text": "\\define tv-wikilink-template() static/$uri_doubleencoded$.html\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n{{$:/core/ui/PageTemplate||$:/core/templates/html-tiddler}}\n</body>\n</html>\n"
},
"$:/core/templates/static.tiddler.html": {
"title": "$:/core/templates/static.tiddler.html",
"text": "\\define tv-wikilink-template() $uri_doubleencoded$.html\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n`<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"`{{$:/core/templates/version}}`\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<link rel=\"stylesheet\" href=\"static.css\">\n<title>`<$view field=\"caption\"><$view field=\"title\"/></$view>: {{$:/core/wiki/title}}`</title>\n</head>\n<body class=\"tc-body\">\n`{{$:/StaticBanner||$:/core/templates/html-tiddler}}`\n<section class=\"tc-story-river\">\n`<$view tiddler=\"$:/core/ui/ViewTemplate\" format=\"htmlwikified\"/>`\n</section>\n</body>\n</html>\n`"
},
"$:/core/templates/store.area.template.html": {
"title": "$:/core/templates/store.area.template.html",
"text": "<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n`<div id=\"storeArea\" style=\"display:none;\">`\n<$list filter=<<saveTiddlerFilter>> template=\"$:/core/templates/html-div-tiddler\"/>\n<$list filter={{{ [<skinnySaveTiddlerFilter>] }}} template=\"$:/core/templates/html-div-skinny-tiddler\"/>\n`</div>`\n</$reveal>\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\n`<!--~~ Encrypted tiddlers ~~-->`\n`<pre id=\"encryptedStoreArea\" type=\"text/plain\" style=\"display:none;\">`\n<$encrypt filter=<<saveTiddlerFilter>>/>\n`</pre>`\n</$reveal>"
},
"$:/core/templates/tid-tiddler": {
"title": "$:/core/templates/tid-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers in TiddlyWeb *.tid format\n\n--><$fields exclude='text bag' template='$name$: $value$\n'></$fields>`\n`<$view field=\"text\" format=\"text\" />"
},
"$:/core/templates/tiddler-metadata": {
"title": "$:/core/templates/tiddler-metadata",
"text": "<!--\n\nThis template is used for saving tiddler metadata *.meta files\n\n--><$fields exclude='text bag' template='$name$: $value$\n'></$fields>"
},
"$:/core/templates/tiddlywiki5.html": {
"title": "$:/core/templates/tiddlywiki5.html",
"text": "<$set name=\"saveTiddlerAndShadowsFilter\" filter=\"[subfilter<saveTiddlerFilter>] [subfilter<saveTiddlerFilter>plugintiddlers[]]\">\n`<!doctype html>\n`{{$:/core/templates/MOTW.html}}`<html lang=\"`<$text text={{{ [{$:/language}get[name]] }}}/>`\">\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<!--~~ Raw markup for the top of the head section ~~-->\n`{{{ [<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/TopHead]] ||$:/core/templates/raw-static-tiddler}}}`\n<meta http-equiv=\"X-UA-Compatible\" content=\"IE=Edge\"/>\n<meta name=\"application-name\" content=\"TiddlyWiki\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"`{{$:/core/templates/version}}`\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\" />\n<meta name=\"copyright\" content=\"`{{$:/core/copyright.txt}}`\" />\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>`{{$:/core/wiki/title}}`</title>\n<!--~~ This is a Tiddlywiki file. The points of interest in the file are marked with this pattern ~~-->\n\n<!--~~ Raw markup ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/core/wiki/rawmarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified]] ||$:/core/templates/raw-static-tiddler}}}`\n</head>\n<body class=\"tc-body\">\n<!--~~ Raw markup for the top of the body section ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/TopBody]] ||$:/core/templates/raw-static-tiddler}}}`\n<!--~~ Static styles ~~-->\n<div id=\"styleArea\">\n`{{$:/boot/boot.css||$:/core/templates/css-tiddler}}`\n</div>\n<!--~~ Static content for Google and browsers without JavaScript ~~-->\n<noscript>\n<div id=\"splashArea\">\n`{{$:/core/templates/static.area}}`\n</div>\n</noscript>\n<!--~~ Ordinary tiddlers ~~-->\n`{{$:/core/templates/store.area.template.html}}`\n<!--~~ Library modules ~~-->\n<div id=\"libraryModules\" style=\"display:none;\">\n`{{{ [is[system]type[application/javascript]library[yes]] ||$:/core/templates/javascript-tiddler}}}`\n</div>\n<!--~~ Boot kernel prologue ~~-->\n<div id=\"bootKernelPrefix\" style=\"display:none;\">\n`{{ $:/boot/bootprefix.js ||$:/core/templates/javascript-tiddler}}`\n</div>\n<!--~~ Boot kernel ~~-->\n<div id=\"bootKernel\" style=\"display:none;\">\n`{{ $:/boot/boot.js ||$:/core/templates/javascript-tiddler}}`\n</div>\n<!--~~ Raw markup for the bottom of the body section ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/BottomBody]] ||$:/core/templates/raw-static-tiddler}}}`\n</body>\n</html>`\n"
},
"$:/core/templates/version": {
"title": "$:/core/templates/version",
"text": "<<version>>"
},
"$:/core/templates/wikified-tiddler": {
"title": "$:/core/templates/wikified-tiddler",
"text": "<$transclude />"
},
"$:/core/ui/AboveStory/tw2-plugin-check": {
"title": "$:/core/ui/AboveStory/tw2-plugin-check",
"tags": "$:/tags/AboveStory",
"text": "\\define lingo-base() $:/language/AboveStory/ClassicPlugin/\n<$list filter=\"[all[system+tiddlers]tag[systemConfig]limit[1]]\">\n\n<div class=\"tc-message-box\">\n\n<<lingo Warning>>\n\n<ul>\n\n<$list filter=\"[all[system+tiddlers]tag[systemConfig]]\">\n\n<li>\n\n<$link><$view field=\"title\"/></$link>\n\n</li>\n\n</$list>\n\n</ul>\n\n</div>\n\n</$list>\n"
},
"$:/core/ui/Actions/new-image": {
"title": "$:/core/ui/Actions/new-image",
"tags": "$:/tags/Actions",
"description": "create a new image tiddler",
"text": "\\define get-type()\nimage/$(imageType)$\n\\end\n<$vars imageType={{$:/config/NewImageType}}>\n<$action-sendmessage $message=\"tm-new-tiddler\" type=<<get-type>> tags={{$:/config/NewTiddler/Tags!!tags}}/>\n</$vars>\n"
},
"$:/core/ui/Actions/new-journal": {
"title": "$:/core/ui/Actions/new-journal",
"tags": "$:/tags/Actions",
"description": "create a new journal tiddler",
"text": "<$vars journalTitleTemplate={{$:/config/NewJournal/Title}} journalTags={{$:/config/NewJournal/Tags!!tags}} journalText={{$:/config/NewJournal/Text}}>\n<$wikify name=\"journalTitle\" text=\"\"\"<$macrocall $name=\"now\" format=<<journalTitleTemplate>>/>\"\"\">\n<$reveal type=\"nomatch\" state=<<journalTitle>> text=\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<journalTags>> text={{{ [<journalTitle>get[]] }}}/>\n</$reveal>\n<$reveal type=\"match\" state=<<journalTitle>> text=\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<journalTags>> text=<<journalText>>/>\n</$reveal>\n</$wikify>\n</$vars>\n"
},
"$:/core/ui/Actions/new-tiddler": {
"title": "$:/core/ui/Actions/new-tiddler",
"tags": "$:/tags/Actions",
"description": "create a new empty tiddler",
"text": "<$action-sendmessage $message=\"tm-new-tiddler\" tags={{$:/config/NewTiddler/Tags!!tags}}/>\n"
},
"$:/core/ui/AdvancedSearch/Filter": {
"title": "$:/core/ui/AdvancedSearch/Filter",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/Filter/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<<lingo Filter/Hint>>\n\n<div class=\"tc-search tc-advanced-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}}/>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch/FilterButton]!has[draft.of]]\"><$transclude/></$list>\n</div>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter={{$:/temp/advancedsearch}}/>\"\"\">\n<div class=\"tc-search-results\">\n<<lingo Filter/Matches>>\n<$list filter={{$:/temp/advancedsearch}} template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$set>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/clear": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/clear",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/delete": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/delete",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button popup=<<qualify \"$:/state/filterDeleteDropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/delete-button}}\n</$button>\n</$reveal>\n\n<$reveal state=<<qualify \"$:/state/filterDeleteDropdown\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<div class=\"tc-dropdown-item-plain\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter={{$:/temp/advancedsearch}}/>\"\"\">\nAre you sure you wish to delete <<resultCount>> tiddler(s)?\n</$set>\n</div>\n<div class=\"tc-dropdown-item-plain\">\n<$button class=\"tc-btn\">\n<$action-deletetiddler $filter={{$:/temp/advancedsearch}}/>\nDelete these tiddlers\n</$button>\n</div>\n</div>\n</div>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/filterDropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n</$button>\n</span>\n\n<$reveal state=<<qualify \"$:/state/filterDropdown\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Filter]]\"><$link to={{!!filter}}><$transclude field=\"description\"/></$link>\n</$list>\n</div>\n</div>\n</$linkcatcher>\n</$set>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/export": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/export",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$macrocall $name=\"exportButton\" exportFilter={{$:/temp/advancedsearch}} lingoBase=\"$:/language/Buttons/ExportTiddlers/\"/>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Shadows": {
"title": "$:/core/ui/AdvancedSearch/Shadows",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/Shadows/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo Shadows/Hint>>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}}/>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[all[shadows]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]]\"/>\"\"\">\n\n<div class=\"tc-search-results\">\n\n<<lingo Shadows/Matches>>\n\n<$list filter=\"[all[shadows]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n</div>\n\n</$set>\n\n</$list>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Standard": {
"title": "$:/core/ui/AdvancedSearch/Standard",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/Standard/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo Standard/Hint>>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}}/>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$set name=\"searchTiddler\" value=\"$:/temp/advancedsearch\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\" emptyMessage=\"\"\"\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\">\n<$transclude/>\n</$list>\n\"\"\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\" default={{$:/config/SearchResults/Default}}/>\n</$list>\n</$set>\n</$list>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/System": {
"title": "$:/core/ui/AdvancedSearch/System",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/System/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo System/Hint>>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}}/>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[is[system]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]]\"/>\"\"\">\n\n<div class=\"tc-search-results\">\n\n<<lingo System/Matches>>\n\n<$list filter=\"[is[system]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n</div>\n\n</$set>\n\n</$list>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"
},
"$:/AdvancedSearch": {
"title": "$:/AdvancedSearch",
"icon": "$:/core/images/advanced-search-button",
"color": "#bbb",
"text": "<div class=\"tc-advanced-search\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch]!has[draft.of]]\" \"$:/core/ui/AdvancedSearch/System\">>\n</div>\n"
},
"$:/core/ui/AlertTemplate": {
"title": "$:/core/ui/AlertTemplate",
"text": "<div class=\"tc-alert\">\n<div class=\"tc-alert-toolbar\">\n<$button class=\"tc-btn-invisible\"><$action-deletetiddler $tiddler=<<currentTiddler>>/>{{$:/core/images/cancel-button}}</$button>\n</div>\n<div class=\"tc-alert-subtitle\">\n<$wikify name=\"format\" text=<<lingo Tiddler/DateFormat>>>\n<$view field=\"component\"/> - <$view field=\"modified\" format=\"date\" template=<<format>>/> <$reveal type=\"nomatch\" state=\"!!count\" text=\"\"><span class=\"tc-alert-highlight\">({{$:/language/Count}}: <$view field=\"count\"/>)</span></$reveal>\n</$wikify>\n</div>\n<div class=\"tc-alert-body\">\n\n<$transclude/>\n\n</div>\n</div>\n"
},
"$:/core/ui/BinaryWarning": {
"title": "$:/core/ui/BinaryWarning",
"text": "\\define lingo-base() $:/language/BinaryWarning/\n<<lingo Prompt>>\n"
},
"$:/core/ui/Components/plugin-info": {
"title": "$:/core/ui/Components/plugin-info",
"text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n\\define popup-state-macro()\n$(qualified-state)$-$(currentTiddler)$\n\\end\n\n\\define tabs-state-macro()\n$(popup-state)$-$(pluginInfoType)$\n\\end\n\n\\define plugin-icon-title()\n$(currentTiddler)$/icon\n\\end\n\n\\define plugin-disable-title()\n$:/config/Plugins/Disabled/$(currentTiddler)$\n\\end\n\n\\define plugin-table-body(type,disabledMessage,default-popup-state)\n<div class=\"tc-plugin-info-chunk tc-plugin-info-toggle\">\n<$reveal type=\"nomatch\" state=<<popup-state>> text=\"yes\" default=\"\"\"$default-popup-state$\"\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"yes\">\n{{$:/core/images/chevron-right}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<popup-state>> text=\"yes\" default=\"\"\"$default-popup-state$\"\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"no\">\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-icon\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<plugin-icon-title>>>\n<$transclude tiddler=\"$:/core/images/plugin-generic-$type$\"/>\n</$transclude>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-description\">\n<h1>\n''<$text text={{{ [<currentTiddler>get[name]] ~[<currentTiddler>split[/]last[1]] }}}/>'': <$view field=\"description\"><$view field=\"title\"/></$view> $disabledMessage$\n</h1>\n<h2>\n<$view field=\"title\"/>\n</h2>\n<h2>\n<div><em><$view field=\"version\"/></em></div>\n</h2>\n</div>\n\\end\n\n\\define plugin-info(type,default-popup-state)\n<$set name=\"popup-state\" value=<<popup-state-macro>>>\n<$reveal type=\"nomatch\" state=<<plugin-disable-title>> text=\"yes\">\n<$link to={{!!title}} class=\"tc-plugin-info\">\n<<plugin-table-body type:\"$type$\" default-popup-state:\"\"\"$default-popup-state$\"\"\">>\n</$link>\n</$reveal>\n<$reveal type=\"match\" state=<<plugin-disable-title>> text=\"yes\">\n<$link to={{!!title}} class=\"tc-plugin-info tc-plugin-info-disabled\">\n<<plugin-table-body type:\"$type$\" default-popup-state:\"\"\"$default-popup-state$\"\"\" disabledMessage:\"<$macrocall $name='lingo' title='Disabled/Status'/>\">>\n</$link>\n</$reveal>\n<$reveal type=\"match\" text=\"yes\" state=<<popup-state>> default=\"\"\"$default-popup-state$\"\"\">\n<div class=\"tc-plugin-info-dropdown\">\n<div class=\"tc-plugin-info-dropdown-body\">\n<$list filter=\"[all[current]] -[[$:/core]]\">\n<div style=\"float:right;\">\n<$reveal type=\"nomatch\" state=<<plugin-disable-title>> text=\"yes\">\n<$button set=<<plugin-disable-title>> setTo=\"yes\" tooltip={{$:/language/ControlPanel/Plugins/Disable/Hint}} aria-label={{$:/language/ControlPanel/Plugins/Disable/Caption}}>\n<<lingo Disable/Caption>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<plugin-disable-title>> text=\"yes\">\n<$button set=<<plugin-disable-title>> setTo=\"no\" tooltip={{$:/language/ControlPanel/Plugins/Enable/Hint}} aria-label={{$:/language/ControlPanel/Plugins/Enable/Caption}}>\n<<lingo Enable/Caption>>\n</$button>\n</$reveal>\n</div>\n</$list>\n<$set name=\"tabsList\" filter=\"[<currentTiddler>list[]] contents\">\n<$macrocall $name=\"tabs\" state=<<tabs-state-macro>> tabsList=<<tabsList>> default={{{ [enlist<tabsList>] }}} template=\"$:/core/ui/PluginInfo\"/>\n</$set>\n</div>\n</div>\n</$reveal>\n</$set>\n\\end\n\n<$macrocall $name=\"plugin-info\" type=<<plugin-type>> default-popup-state=<<default-popup-state>>/>\n"
},
"$:/core/ui/Components/tag-link": {
"title": "$:/core/ui/Components/tag-link",
"text": "<$link>\n<$set name=\"backgroundColor\" value={{!!color}}>\n<span style=<<tag-styles>> class=\"tc-tag-label\">\n<$view field=\"title\" format=\"text\"/>\n</span>\n</$set>\n</$link>"
},
"$:/core/ui/ControlPanel/Advanced": {
"title": "$:/core/ui/ControlPanel/Advanced",
"tags": "$:/tags/ControlPanel/Info",
"caption": "{{$:/language/ControlPanel/Advanced/Caption}}",
"text": "{{$:/language/ControlPanel/Advanced/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Advanced]!has[draft.of]]\" \"$:/core/ui/ControlPanel/TiddlerFields\">>\n</div>\n"
},
"$:/core/ui/ControlPanel/Appearance": {
"title": "$:/core/ui/ControlPanel/Appearance",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Appearance/Caption}}",
"text": "{{$:/language/ControlPanel/Appearance/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Appearance]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Theme\">>\n</div>\n"
},
"$:/core/ui/ControlPanel/Basics": {
"title": "$:/core/ui/ControlPanel/Basics",
"tags": "$:/tags/ControlPanel/Info",
"caption": "{{$:/language/ControlPanel/Basics/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Basics/\n\n\\define show-filter-count(filter)\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $value=\"\"\"$filter$\"\"\"/>\n<$action-setfield $tiddler=\"$:/state/tab--1498284803\" $value=\"$:/core/ui/AdvancedSearch/Filter\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n''<$count filter=\"\"\"$filter$\"\"\"/>''\n{{$:/core/images/advanced-search-button}}\n</$button>\n\\end\n\n|<<lingo Version/Prompt>> |''<<version>>'' |\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/status/UserName\"><<lingo Username/Prompt>></$link> |<$edit-text tiddler=\"$:/status/UserName\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/AnimationDuration\"><<lingo AnimDuration/Prompt>></$link> |<$edit-text tiddler=\"$:/config/AnimationDuration\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\" class=\"tc-edit-texteditor\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n|<$link to=\"$:/language/DefaultNewTiddlerTitle\"><<lingo NewTiddler/Title/Prompt>></$link> |<$edit-text tiddler=\"$:/language/DefaultNewTiddlerTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/NewJournal/Title\"><<lingo NewJournal/Title/Prompt>></$link> |<$edit-text tiddler=\"$:/config/NewJournal/Title\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/NewJournal/Text\"><<lingo NewJournal/Text/Prompt>></$link> |<$edit tiddler=\"$:/config/NewJournal/Text\" tag=\"textarea\" class=\"tc-edit-texteditor\" default=\"\"/> |\n|<$link to=\"$:/config/NewTiddler/Tags\"><<lingo NewTiddler/Tags/Prompt>></$link> |<$list filter=\"[[$:/config/NewTiddler/Tags]]\" template=\"$:/core/ui/EditTemplate/tags\"/> |\n|<$link to=\"$:/config/NewJournal/Tags\"><<lingo NewJournal/Tags/Prompt>></$link> |<$list filter=\"[[$:/config/NewJournal/Tags]]\" template=\"$:/core/ui/EditTemplate/tags\"/> |\n|<$link to=\"$:/config/AutoFocus\"><<lingo AutoFocus/Prompt>></$link> |{{$:/snippets/minifocusswitcher}} |\n|<<lingo Language/Prompt>> |{{$:/snippets/minilanguageswitcher}} |\n|<<lingo Tiddlers/Prompt>> |<<show-filter-count \"[!is[system]sort[title]]\">> |\n|<<lingo Tags/Prompt>> |<<show-filter-count \"[tags[]sort[title]]\">> |\n|<<lingo SystemTiddlers/Prompt>> |<<show-filter-count \"[is[system]sort[title]]\">> |\n|<<lingo ShadowTiddlers/Prompt>> |<<show-filter-count \"[all[shadows]sort[title]]\">> |\n|<<lingo OverriddenShadowTiddlers/Prompt>> |<<show-filter-count \"[is[tiddler]is[shadow]sort[title]]\">> |\n"
},
"$:/core/ui/ControlPanel/EditorTypes": {
"title": "$:/core/ui/ControlPanel/EditorTypes",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/EditorTypes/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/EditorTypes/\n\n<<lingo Hint>>\n\n<table>\n<tbody>\n<tr>\n<th><<lingo Type/Caption>></th>\n<th><<lingo Editor/Caption>></th>\n</tr>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/config/EditorTypeMappings/]sort[title]]\">\n<tr>\n<td>\n<$link>\n<$list filter=\"[all[current]removeprefix[$:/config/EditorTypeMappings/]]\">\n<$text text={{!!title}}/>\n</$list>\n</$link>\n</td>\n<td>\n<$view field=\"text\"/>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ControlPanel/Info": {
"title": "$:/core/ui/ControlPanel/Info",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Info/Caption}}",
"text": "{{$:/language/ControlPanel/Info/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Info]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Basics\">>\n</div>\n"
},
"$:/core/ui/ControlPanel/KeyboardShortcuts": {
"title": "$:/core/ui/ControlPanel/KeyboardShortcuts",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/KeyboardShortcuts/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/KeyboardShortcuts/\n\n\\define new-shortcut(title)\n<div class=\"tc-dropdown-item-plain\">\n<$edit-shortcut tiddler=\"$title$\" placeholder={{$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt}} focus=\"true\" style=\"width:auto;\"/> <$button>\n<<lingo Add/Caption>>\n<$action-listops\n\t$tiddler=\"$(shortcutTitle)$\"\n\t$field=\"text\"\n\t$subfilter=\"[{$title$}]\"\n/>\n<$action-deletetiddler\n\t$tiddler=\"$title$\"\n/>\n</$button>\n</div>\n\\end\n\n\\define shortcut-list-item(caption)\n<td>\n</td>\n<td style=\"text-align:right;font-size:0.7em;\">\n<<lingo Platform/$caption$>>\n</td>\n<td>\n<div style=\"position:relative;\">\n<$button popup=<<qualify \"$:/state/dropdown/$(shortcutTitle)$\">> class=\"tc-btn-invisible\">\n{{$:/core/images/edit-button}}\n</$button>\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts={{$(shortcutTitle)$}} prefix=\"<kbd>\" separator=\"</kbd> <kbd>\" suffix=\"</kbd>\"/>\n\n<$reveal state=<<qualify \"$:/state/dropdown/$(shortcutTitle)$\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown tc-popup-keep\">\n<$list filter=\"[list[$(shortcutTitle)$!!text]sort[title]]\" variable=\"shortcut\" emptyMessage=\"\"\"\n<div class=\"tc-dropdown-item-plain\">\n//<<lingo NoShortcuts/Caption>>//\n</div>\n\"\"\">\n<div class=\"tc-dropdown-item-plain\">\n<$button class=\"tc-btn-invisible\" tooltip={{$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint}}>\n<$action-listops\n\t$tiddler=\"$(shortcutTitle)$\"\n\t$field=\"text\"\n\t$subfilter=\"+[remove<shortcut>]\"\n/>\n<small>{{$:/core/images/close-button}}</small>\n</$button>\n<kbd>\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts=<<shortcut>>/>\n</kbd>\n</div>\n</$list>\n<hr/>\n<$macrocall $name=\"new-shortcut\" title=<<qualify \"$:/state/new-shortcut/$(shortcutTitle)$\">>/>\n</div>\n</div>\n</$reveal>\n</div>\n</td>\n\\end\n\n\\define shortcut-list(caption,prefix)\n<tr>\n<$list filter=\"[[$prefix$$(shortcutName)$]]\" variable=\"shortcutTitle\">\n<<shortcut-list-item \"$caption$\">>\n</$list>\n</tr>\n\\end\n\n\\define shortcut-editor()\n<<shortcut-list \"All\" \"$:/config/shortcuts/\">>\n<<shortcut-list \"Mac\" \"$:/config/shortcuts-mac/\">>\n<<shortcut-list \"NonMac\" \"$:/config/shortcuts-not-mac/\">>\n<<shortcut-list \"Linux\" \"$:/config/shortcuts-linux/\">>\n<<shortcut-list \"NonLinux\" \"$:/config/shortcuts-not-linux/\">>\n<<shortcut-list \"Windows\" \"$:/config/shortcuts-windows/\">>\n<<shortcut-list \"NonWindows\" \"$:/config/shortcuts-not-windows/\">>\n\\end\n\n\\define shortcut-preview()\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts={{$(shortcutPrefix)$$(shortcutName)$}} prefix=\"<kbd>\" separator=\"</kbd> <kbd>\" suffix=\"</kbd>\"/>\n\\end\n\n\\define shortcut-item-inner()\n<tr>\n<td>\n<$reveal type=\"nomatch\" state=<<dropdownStateTitle>> text=\"open\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield\n\t$tiddler=<<dropdownStateTitle>>\n\t$value=\"open\"\n/>\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<dropdownStateTitle>> text=\"open\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield\n\t$tiddler=<<dropdownStateTitle>>\n\t$value=\"close\"\n/>\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n''<$text text=<<shortcutName>>/>''\n</td>\n<td>\n<$transclude tiddler=\"$:/config/ShortcutInfo/$(shortcutName)$\"/>\n</td>\n<td>\n<$list filter=\"$:/config/shortcuts/ $:/config/shortcuts-mac/ $:/config/shortcuts-not-mac/ $:/config/shortcuts-linux/ $:/config/shortcuts-not-linux/ $:/config/shortcuts-windows/ $:/config/shortcuts-not-windows/\" variable=\"shortcutPrefix\">\n<<shortcut-preview>>\n</$list>\n</td>\n</tr>\n<$set name=\"dropdownState\" value={{$(dropdownStateTitle)$}}>\n<$list filter=\"[<dropdownState>match[open]]\" variable=\"listItem\">\n<<shortcut-editor>>\n</$list>\n</$set>\n\\end\n\n\\define shortcut-item()\n<$set name=\"dropdownStateTitle\" value=<<qualify \"$:/state/dropdown/keyboardshortcut/$(shortcutName)$\">>>\n<<shortcut-item-inner>>\n</$set>\n\\end\n\n<table>\n<tbody>\n<$list filter=\"[all[shadows+tiddlers]removeprefix[$:/config/ShortcutInfo/]]\" variable=\"shortcutName\">\n<<shortcut-item>>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ControlPanel/LoadedModules": {
"title": "$:/core/ui/ControlPanel/LoadedModules",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/LoadedModules/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n<<lingo LoadedModules/Hint>>\n\n{{$:/snippets/modules}}\n"
},
"$:/core/ui/ControlPanel/Modals/AddPlugins": {
"title": "$:/core/ui/ControlPanel/Modals/AddPlugins",
"subtitle": "{{$:/core/images/download-button}} {{$:/language/ControlPanel/Plugins/Add/Caption}}",
"text": "\\define install-plugin-actions()\n<$action-sendmessage $message=\"tm-load-plugin-from-library\" url={{!!url}} title={{$(assetInfo)$!!original-title}}/>\n<$set name=\"url\" value={{!!url}}>\n<$set name=\"currentTiddler\" value=<<assetInfo>>>\n<$list filter=\"[enlist{!!dependents}] [{!!parent-plugin}] +[sort[title]]\" variable=\"dependency\">\n<$action-sendmessage $message=\"tm-load-plugin-from-library\" url=<<url>> title=<<dependency>>/>\n</$list>\n</$set>\n</$set>\n\\end\n\n\\define install-plugin-button()\n<div>\n<$set name=\"libraryVersion\" value={{{ [<assetInfo>get[version]] }}}>\n<$set name=\"installedVersion\" value={{{ [<assetInfo>get[original-title]get[version]] }}}>\n<$set name=\"reinstall-type\" value={{{ [<libraryVersion>compare:version:eq<installedVersion>then[tc-reinstall]] [<libraryVersion>compare:version:gt<installedVersion>then[tc-reinstall-upgrade]] [<libraryVersion>compare:version:lt<installedVersion>then[tc-reinstall-downgrade]] }}}>\n<$button actions=<<install-plugin-actions>> class={{{ [<assetInfo>get[original-title]has[version]then<reinstall-type>] tc-btn-invisible tc-install-plugin +[join[ ]] }}}>\n{{$:/core/images/download-button}}\n<$list filter=\"[<assetInfo>get[original-title]get[version]]\" variable=\"ignore\" emptyMessage=\"{{$:/language/ControlPanel/Plugins/Install/Caption}}\">\n<$list filter=\"[<libraryVersion>compare:version:gt<installedVersion>]\" variable=\"ignore\" emptyMessage=\"\"\"\n<$list filter=\"[<libraryVersion>compare:version:lt<installedVersion>]\" variable=\"ignore\" emptyMessage=\"{{$:/language/ControlPanel/Plugins/Reinstall/Caption}}\">\n{{$:/language/ControlPanel/Plugins/Downgrade/Caption}}\n</$list>\n\"\"\">\n{{$:/language/ControlPanel/Plugins/Update/Caption}}\n</$list>\n</$list>\n</$button>\n<div>\n</div>\n<$reveal stateTitle=<<assetInfo>> stateField=\"requires-reload\" type=\"match\" text=\"yes\">{{$:/language/ControlPanel/Plugins/PluginWillRequireReload}}</$reveal>\n</$set>\n</$set>\n</$set>\n</div>\n\\end\n\n\\define popup-state-macro()\n$:/state/add-plugin-info/$(connectionTiddler)$/$(assetInfo)$\n\\end\n\n\\define display-plugin-info(type)\n<$set name=\"popup-state\" value=<<popup-state-macro>>>\n<div class=\"tc-plugin-info\">\n<div class=\"tc-plugin-info-chunk tc-plugin-info-toggle\">\n<$reveal type=\"nomatch\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"yes\">\n{{$:/core/images/chevron-right}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"no\">\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-icon\">\n<$list filter=\"[<assetInfo>has[icon]]\" emptyMessage=\"\"\"<$transclude tiddler=\"$:/core/images/plugin-generic-$type$\"/>\"\"\">\n<img src={{$(assetInfo)$!!icon}}/>\n</$list>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-description\">\n<h1><strong><$text text={{{ [<assetInfo>get[name]] ~[<assetInfo>get[original-title]split[/]last[1]] }}}/></strong>: <$view tiddler=<<assetInfo>> field=\"description\"/></h1>\n<h2><$view tiddler=<<assetInfo>> field=\"original-title\"/></h2>\n<div><em><$view tiddler=<<assetInfo>> field=\"version\"/></em></div>\n<$list filter=\"[<assetInfo>get[original-title]get[version]]\" variable=\"installedVersion\"><div><em>{{$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint}}</em></div></$list>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-buttons\">\n<<install-plugin-button>>\n</div>\n</div>\n<$set name=\"original-title\" value={{{ [<assetInfo>get[original-title]] }}}>\n<$reveal type=\"match\" text=\"yes\" state=<<popup-state>>>\n<div class=\"tc-plugin-info-dropdown\">\n<$list filter=\"[enlist{!!dependents}] [<currentTiddler>get[parent-plugin]] +[limit[1]] ~[<assetInfo>get[original-title]!is[tiddler]]\" variable=\"ignore\">\n<div class=\"tc-plugin-info-dropdown-message\">\n<$list filter=\"[<assetInfo>get[original-title]!is[tiddler]]\">\n{{$:/language/ControlPanel/Plugins/NotInstalled/Hint}}\n</$list>\n<$set name=\"currentTiddler\" value=<<assetInfo>>>\n<$list filter=\"[enlist{!!dependents}] [<currentTiddler>get[parent-plugin]] +[limit[1]]\" variable=\"ignore\">\n<div>\n{{$:/language/ControlPanel/Plugins/AlsoRequires}}\n<$list filter=\"[enlist{!!dependents}] [{!!parent-plugin}] +[sort[title]]\" variable=\"dependency\">\n<$text text=<<dependency>>/>\n</$list>\n</div>\n</$list>\n</$set>\n</div>\n</$list>\n<div class=\"tc-plugin-info-dropdown-body\">\n<$transclude tiddler=<<assetInfo>> field=\"readme\" mode=\"block\"/>\n</div>\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>limit[1]]\" variable=\"ignore\">\n<div class=\"tc-plugin-info-sub-plugins\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>sort[title]]\" variable=\"assetInfo\">\n<<display-plugin-info \"$type$\">>\n</$list>\n</div>\n</$list>\n</div>\n</$reveal>\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>limit[1]]\" variable=\"ignore\">\n<$reveal type=\"nomatch\" text=\"yes\" state=<<popup-state>> tag=\"div\" class=\"tc-plugin-info-sub-plugin-indicator\">\n<$wikify name=\"count\" text=\"\"\"<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>]\"/>\"\"\">\n<$button class=\"tc-btn-invisible\" set=<<popup-state>> setTo=\"yes\">\n{{$:/language/ControlPanel/Plugins/SubPluginPrompt}}\n</$button>\n</$wikify>\n</$reveal>\n</$list>\n</$set>\n</$set>\n\\end\n\n\\define load-plugin-library-button()\n<$button class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-load-plugin-library\" url={{!!url}} infoTitlePrefix=\"$:/temp/RemoteAssetInfo/\"/>\n{{$:/core/images/chevron-right}} {{$:/language/ControlPanel/Plugins/OpenPluginLibrary}}\n</$button>\n\\end\n\n\\define display-server-assets(type)\n{{$:/language/Search/Search}}: <$edit-text tiddler=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" default=\"\" type=\"search\" tag=\"input\"/>\n<$reveal state=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n<div class=\"tc-plugin-library-listing\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]search:author,description,original-title,readme,title{$:/temp/RemoteAssetSearch/$(currentTiddler)$}sort[title]]\" variable=\"assetInfo\">\n<$list filter=\"[[$:/temp/RemoteAssetSearch/$(currentTiddler)$]has[text]] ~[<assetInfo>!has[parent-plugin]]\" variable=\"ignore\"><!-- Hide sub-plugins if we're not searching -->\n<<display-plugin-info \"$type$\">>\n</$list>\n</$list>\n</div>\n\\end\n\n\\define display-server-connection()\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/ServerConnection]suffix{!!url}]\" variable=\"connectionTiddler\" emptyMessage=<<load-plugin-library-button>>>\n\n<$set name=\"transclusion\" value=<<connectionTiddler>>>\n\n<<tabs \"[[$:/core/ui/ControlPanel/Plugins/Add/Updates]] [[$:/core/ui/ControlPanel/Plugins/Add/Plugins]] [[$:/core/ui/ControlPanel/Plugins/Add/Themes]] [[$:/core/ui/ControlPanel/Plugins/Add/Languages]]\" \"$:/core/ui/ControlPanel/Plugins/Add/Plugins\">>\n\n</$set>\n\n</$list>\n\\end\n\n\\define close-library-button()\n<$reveal type='nomatch' state='$:/temp/ServerConnection/$(PluginLibraryURL)$' text=''>\n<$button class='tc-btn-big-green'>\n<$action-sendmessage $message=\"tm-unload-plugin-library\" url={{!!url}}/>\n{{$:/core/images/chevron-left}} {{$:/language/ControlPanel/Plugins/ClosePluginLibrary}}\n<$action-deletetiddler $filter=\"[prefix[$:/temp/ServerConnection/$(PluginLibraryURL)$]][prefix[$:/temp/RemoteAssetInfo/$(PluginLibraryURL)$]]\"/>\n</$button>\n</$reveal>\n\\end\n\n\\define plugin-library-listing()\n<div class=\"tc-tab-set\">\n<$set name=\"defaultTab\" value={{{ [all[tiddlers+shadows]tag[$:/tags/PluginLibrary]] }}}>\n<div class=\"tc-tab-buttons\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/PluginLibrary]]\">\n<$button set=<<qualify \"$:/state/addplugins/tab\">> setTo=<<currentTiddler>> default=<<defaultTab>> selectedClass=\"tc-tab-selected\">\n<$set name=\"tv-wikilinks\" value=\"no\">\n<$transclude field=\"caption\"/>\n</$set>\n</$button>\n</$list>\n</div>\n<div class=\"tc-tab-divider\"/>\n<div class=\"tc-tab-content\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/PluginLibrary]]\">\n<$reveal type=\"match\" state=<<qualify \"$:/state/addplugins/tab\">> text=<<currentTiddler>> default=<<defaultTab>>>\n<h2><$link><$transclude field=\"caption\"><$view field=\"title\"/></$transclude></$link></h2>\n//<$view field=\"url\"/>//\n<$transclude mode=\"block\"/>\n<$set name=PluginLibraryURL value={{!!url}}>\n<<close-library-button>>\n</$set>\n<<display-server-connection>>\n</$reveal>\n</$list>\n</div>\n</$set>\n</div>\n\\end\n\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<div>\n<<plugin-library-listing>>\n</div>\n"
},
"$:/core/ui/ControlPanel/Palette": {
"title": "$:/core/ui/ControlPanel/Palette",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/Palette/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Palette/\n\n{{$:/snippets/paletteswitcher}}\n\n<$reveal type=\"nomatch\" state=\"$:/state/ShowPaletteEditor\" text=\"yes\">\n\n<$button set=\"$:/state/ShowPaletteEditor\" setTo=\"yes\"><<lingo ShowEditor/Caption>></$button>\n\n</$reveal>\n\n<$reveal type=\"match\" state=\"$:/state/ShowPaletteEditor\" text=\"yes\">\n\n<$button set=\"$:/state/ShowPaletteEditor\" setTo=\"no\"><<lingo HideEditor/Caption>></$button>\n{{$:/PaletteManager}}\n\n</$reveal>\n\n"
},
"$:/core/ui/ControlPanel/Parsing": {
"title": "$:/core/ui/ControlPanel/Parsing",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/Parsing/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Parsing/\n\n\\define toggle(Type)\n<$checkbox\ntiddler=\"\"\"$:/config/WikiParserRules/$Type$/$(rule)$\"\"\"\nfield=\"text\"\nchecked=\"enable\"\nunchecked=\"disable\"\ndefault=\"enable\">\n<<rule>>\n</$checkbox>\n\\end\n\n\\define rules(type,Type)\n<$list filter=\"[wikiparserrules[$type$]]\" variable=\"rule\">\n<dd><<toggle $Type$>></dd>\n</$list>\n\\end\n\n<<lingo Hint>>\n\n<dl>\n<dt><<lingo Pragma/Caption>></dt>\n<<rules pragma Pragma>>\n<dt><<lingo Inline/Caption>></dt>\n<<rules inline Inline>>\n<dt><<lingo Block/Caption>></dt>\n<<rules block Block>>\n</dl>"
},
"$:/core/ui/ControlPanel/Plugins/Add/Languages": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Languages",
"caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[language]]\"/>)",
"text": "<<display-server-assets language>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Add/Plugins": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[plugin]]\"/>)",
"text": "<<display-server-assets plugin>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Add/Themes": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Themes",
"caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[theme]]\"/>)",
"text": "<<display-server-assets theme>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Add/Updates": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Updates",
"caption": "<$importvariables filter=\"$:/core/ui/ControlPanel/Plugins/Add/Updates\">{{$:/language/ControlPanel/Plugins/Updates/Caption}} (<<update-count>>)</$importvariables>",
"text": "\\define each-updateable-plugin(body)\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}sort[title]]\" variable=\"assetInfo\">\n<$set name=\"libraryVersion\" value={{{ [<assetInfo>get[version]] }}}>\n<$list filter=\"[<assetInfo>get[original-title]has[version]!version<libraryVersion>]\" variable=\"ignore\">\n<$set name=\"installedVersion\" value={{{ [<assetInfo>get[original-title]get[version]] }}}>\n<$list filter=\"[<installedversion>!match<libraryVersion>]\" variable=\"ignore\">\n$body$\n</$list>\n</$set>\n</$list>\n</$set>\n</$list>\n\\end\n\n\\define update-all-actions()\n<$macrocall $name=\"each-updateable-plugin\" body=\"\"\"\n<<install-plugin-actions>>\n\"\"\"/>\n\\end\n\n\\define update-count()\n<$wikify name=\"count-filter\" text=<<each-updateable-plugin \"[[<$text text=<<assetInfo>>/>]]\">>><$count filter=<<count-filter>>/></$wikify>\n\\end\n\n<$button actions=<<update-all-actions>> class=\"tc-btn-invisible tc-install-plugin tc-reinstall-upgrade\">\n{{$:/core/images/download-button}} {{||$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption}}\n</$button>\n\n<div class=\"tc-plugin-library-listing\">\n<$macrocall $name=\"each-updateable-plugin\" body=\"\"\"\n<$macrocall $name=\"display-plugin-info\" type={{{ [<assetInfo>get[original-plugin-type]] }}}/>\n\"\"\"/>\n</div>\n"
},
"$:/core/ui/ControlPanel/Plugins/AddPlugins": {
"title": "$:/core/ui/ControlPanel/Plugins/AddPlugins",
"text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n<$button message=\"tm-modal\" param=\"$:/core/ui/ControlPanel/Modals/AddPlugins\" tooltip={{$:/language/ControlPanel/Plugins/Add/Hint}} class=\"tc-btn-big-green tc-primary-btn\">\n{{$:/core/images/download-button}} <<lingo Add/Caption>>\n</$button>\n"
},
"$:/core/ui/ControlPanel/Plugins/Installed/Languages": {
"title": "$:/core/ui/ControlPanel/Plugins/Installed/Languages",
"caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[language]]\"/>)",
"text": "<<plugin-table language>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Installed/Plugins": {
"title": "$:/core/ui/ControlPanel/Plugins/Installed/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[plugin]]\"/>)",
"text": "<<plugin-table plugin>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Installed/Themes": {
"title": "$:/core/ui/ControlPanel/Plugins/Installed/Themes",
"caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[theme]]\"/>)",
"text": "<<plugin-table theme>>\n"
},
"$:/core/ui/ControlPanel/Plugins": {
"title": "$:/core/ui/ControlPanel/Plugins",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Plugins/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n\\define plugin-table(type)\n<$set name=\"plugin-type\" value=\"\"\"$type$\"\"\">\n<$set name=\"qualified-state\" value=<<qualify \"$:/state/plugin-info\">>>\n<$list filter=\"[!has[draft.of]plugin-type[$type$]sort[title]]\" emptyMessage=<<lingo \"Empty/Hint\">> template=\"$:/core/ui/Components/plugin-info\"/>\n</$set>\n</$set>\n\\end\n\n{{$:/core/ui/ControlPanel/Plugins/AddPlugins}}\n\n<<lingo Installed/Hint>>\n\n<<tabs \"[[$:/core/ui/ControlPanel/Plugins/Installed/Plugins]] [[$:/core/ui/ControlPanel/Plugins/Installed/Themes]] [[$:/core/ui/ControlPanel/Plugins/Installed/Languages]]\" \"$:/core/ui/ControlPanel/Plugins/Installed/Plugins\">>\n"
},
"$:/core/ui/ControlPanel/Saving/DownloadSaver": {
"title": "$:/core/ui/ControlPanel/Saving/DownloadSaver",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/DownloadSaver/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/DownloadSaver/\n\n<<lingo Hint>>\n\n!! <$link to=\"$:/config/DownloadSaver/AutoSave\"><<lingo AutoSave/Hint>></$link>\n\n<$checkbox tiddler=\"$:/config/DownloadSaver/AutoSave\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <<lingo AutoSave/Description>> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Saving/General": {
"title": "$:/core/ui/ControlPanel/Saving/General",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/General/Caption}}",
"list-before": "",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/\n\n{{$:/language/ControlPanel/Saving/General/Hint}}\n\n!! <$link to=\"$:/config/AutoSave\"><<lingo AutoSave/Caption>></$link>\n\n<<lingo AutoSave/Hint>>\n\n<$radio tiddler=\"$:/config/AutoSave\" value=\"yes\"> <<lingo AutoSave/Enabled/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/AutoSave\" value=\"no\"> <<lingo AutoSave/Disabled/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Saving/GitHub": {
"title": "$:/core/ui/ControlPanel/Saving/GitHub",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/GitService/GitHub/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~GitHub\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/GitHub/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo GitHub/Password>> |<$password name=\"github\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/GitHub/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/GitHub/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/GitHub/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/GitHub/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/GitHub/ServerURL\" default=\"https://api.github.com\" tag=\"input\"/> |"
},
"$:/core/ui/ControlPanel/Saving/GitLab": {
"title": "$:/core/ui/ControlPanel/Saving/GitLab",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/GitService/GitLab/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~GitLab\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/GitLab/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo GitLab/Password>> |<$password name=\"gitlab\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/GitLab/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/GitLab/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/GitLab/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/GitLab/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/GitLab/ServerURL\" default=\"https://gitlab.com/api/v4\" tag=\"input\"/> |"
},
"$:/core/ui/ControlPanel/Saving/TiddlySpot": {
"title": "$:/core/ui/ControlPanel/Saving/TiddlySpot",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/TiddlySpot/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/TiddlySpot/\n\n\\define backupURL()\nhttp://$(userName)$.tiddlyspot.com/backup/\n\\end\n\\define backupLink()\n<$reveal type=\"nomatch\" state=\"$:/UploadName\" text=\"\">\n<$set name=\"userName\" value={{$:/UploadName}}>\n<$reveal type=\"match\" state=\"$:/UploadURL\" text=\"\">\n<<backupURL>>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/UploadURL\" text=\"\">\n<$macrocall $name=resolvePath source={{$:/UploadBackupDir}} root={{$:/UploadURL}}>>\n</$reveal>\n</$set>\n</$reveal>\n\\end\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/UploadName\" default=\"\" tag=\"input\"/> |\n|<<lingo Password>> |<$password name=\"upload\"/> |\n|<<lingo Backups>> |<<backupLink>> |\n\n''<<lingo Advanced/Heading>>''\n\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/UploadURL\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/UploadFilename\" default=\"index.html\" tag=\"input\"/> |\n|<<lingo UploadDir>> |<$edit-text tiddler=\"$:/UploadDir\" default=\".\" tag=\"input\"/> |\n|<<lingo BackupDir>> |<$edit-text tiddler=\"$:/UploadBackupDir\" default=\".\" tag=\"input\"/> |\n\n<<lingo TiddlySpot/Hint>>"
},
"$:/core/ui/ControlPanel/Saving/Gitea": {
"title": "$:/core/ui/ControlPanel/Saving/Gitea",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/GitService/Gitea/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~Gitea\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/Gitea/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo Gitea/Password>> |<$password name=\"Gitea\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/Gitea/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/Gitea/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/Gitea/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/Gitea/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/Gitea/ServerURL\" default=\"https://gitea/api/v1\" tag=\"input\"/> |\n"
},
"$:/core/ui/ControlPanel/Saving": {
"title": "$:/core/ui/ControlPanel/Saving",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Saving/Caption}}",
"text": "{{$:/language/ControlPanel/Saving/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Saving]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Saving/General\">>\n</div>\n"
},
"$:/core/buttonstyles/Borderless": {
"title": "$:/core/buttonstyles/Borderless",
"tags": "$:/tags/ToolbarButtonStyle",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless}}",
"text": "tc-btn-invisible"
},
"$:/core/buttonstyles/Boxed": {
"title": "$:/core/buttonstyles/Boxed",
"tags": "$:/tags/ToolbarButtonStyle",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed}}",
"text": "tc-btn-boxed"
},
"$:/core/buttonstyles/Rounded": {
"title": "$:/core/buttonstyles/Rounded",
"tags": "$:/tags/ToolbarButtonStyle",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded}}",
"text": "tc-btn-rounded"
},
"$:/core/ui/ControlPanel/Settings/CamelCase": {
"title": "$:/core/ui/ControlPanel/Settings/CamelCase",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/CamelCase/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/CamelCase/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/WikiParserRules/Inline/wikilink\" field=\"text\" checked=\"enable\" unchecked=\"disable\" default=\"enable\"> <$link to=\"$:/config/WikiParserRules/Inline/wikilink\"><<lingo Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings/DefaultMoreSidebarTab": {
"title": "$:/core/ui/ControlPanel/Settings/DefaultMoreSidebarTab",
"caption": "{{$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption}}",
"tags": "$:/tags/ControlPanel/Settings",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/DefaultMoreSidebarTab/\n\n<$link to=\"$:/config/DefaultMoreSidebarTab\"><<lingo Hint>></$link>\n\n<$select tiddler=\"$:/config/DefaultMoreSidebarTab\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar]!has[draft.of]]\">\n<option value=<<currentTiddler>>><$transclude field=\"caption\"><$text text=<<currentTiddler>>/></$transclude></option>\n</$list>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/DefaultSidebarTab": {
"title": "$:/core/ui/ControlPanel/Settings/DefaultSidebarTab",
"caption": "{{$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption}}",
"tags": "$:/tags/ControlPanel/Settings",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/DefaultSidebarTab/\n\n<$link to=\"$:/config/DefaultSidebarTab\"><<lingo Hint>></$link>\n\n<$select tiddler=\"$:/config/DefaultSidebarTab\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\">\n<option value=<<currentTiddler>>><$transclude field=\"caption\"><$text text=<<currentTiddler>>/></$transclude></option>\n</$list>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/EditorToolbar": {
"title": "$:/core/ui/ControlPanel/Settings/EditorToolbar",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/EditorToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/EditorToolbar/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/TextEditor/EnableToolbar\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/TextEditor/EnableToolbar\"><<lingo Description>></$link> </$checkbox>\n\n"
},
"$:/core/ui/ControlPanel/Settings/InfoPanelMode": {
"title": "$:/core/ui/ControlPanel/Settings/InfoPanelMode",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/InfoPanelMode/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/InfoPanelMode/\n<$link to=\"$:/config/TiddlerInfo/Mode\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/TiddlerInfo/Mode\" value=\"popup\"> <<lingo Popup/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/TiddlerInfo/Mode\" value=\"sticky\"> <<lingo Sticky/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/LinkToBehaviour": {
"title": "$:/core/ui/ControlPanel/Settings/LinkToBehaviour",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/LinkToBehaviour/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/LinkToBehaviour/\n\n<$link to=\"$:/config/Navigation/openLinkFromInsideRiver\"><<lingo \"InsideRiver/Hint\">></$link>\n\n<$select tiddler=\"$:/config/Navigation/openLinkFromInsideRiver\">\n <option value=\"above\"><<lingo \"OpenAbove\">></option>\n <option value=\"below\"><<lingo \"OpenBelow\">></option>\n <option value=\"top\"><<lingo \"OpenAtTop\">></option>\n <option value=\"bottom\"><<lingo \"OpenAtBottom\">></option>\n</$select>\n\n<$link to=\"$:/config/Navigation/openLinkFromOutsideRiver\"><<lingo \"OutsideRiver/Hint\">></$link>\n\n<$select tiddler=\"$:/config/Navigation/openLinkFromOutsideRiver\">\n <option value=\"top\"><<lingo \"OpenAtTop\">></option>\n <option value=\"bottom\"><<lingo \"OpenAtBottom\">></option>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/MissingLinks": {
"title": "$:/core/ui/ControlPanel/Settings/MissingLinks",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/MissingLinks/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/MissingLinks/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/MissingLinks\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/MissingLinks\"><<lingo Description>></$link> </$checkbox>\n\n"
},
"$:/core/ui/ControlPanel/Settings/NavigationAddressBar": {
"title": "$:/core/ui/ControlPanel/Settings/NavigationAddressBar",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/NavigationAddressBar/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationAddressBar/\n\n<$link to=\"$:/config/Navigation/UpdateAddressBar\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"permaview\"> <<lingo Permaview/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"permalink\"> <<lingo Permalink/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/NavigationHistory": {
"title": "$:/core/ui/ControlPanel/Settings/NavigationHistory",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/NavigationHistory/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationHistory/\n<$link to=\"$:/config/Navigation/UpdateHistory\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateHistory\" value=\"yes\"> <<lingo Yes/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateHistory\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/NavigationPermalinkviewMode": {
"title": "$:/core/ui/ControlPanel/Settings/NavigationPermalinkviewMode",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationPermalinkviewMode/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Navigation/Permalinkview/CopyToClipboard\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Navigation/Permalinkview/CopyToClipboard\"><<lingo CopyToClipboard/Description>></$link> </$checkbox>\n\n<$checkbox tiddler=\"$:/config/Navigation/Permalinkview/UpdateAddressBar\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Navigation/Permalinkview/UpdateAddressBar\"><<lingo UpdateAddressBar/Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings/PerformanceInstrumentation": {
"title": "$:/core/ui/ControlPanel/Settings/PerformanceInstrumentation",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/PerformanceInstrumentation/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Performance/Instrumentation\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <$link to=\"$:/config/Performance/Instrumentation\"><<lingo Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings/TitleLinks": {
"title": "$:/core/ui/ControlPanel/Settings/TitleLinks",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/TitleLinks/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/TitleLinks/\n<$link to=\"$:/config/Tiddlers/TitleLinks\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Tiddlers/TitleLinks\" value=\"yes\"> <<lingo Yes/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Tiddlers/TitleLinks\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/ToolbarButtonStyle": {
"title": "$:/core/ui/ControlPanel/Settings/ToolbarButtonStyle",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/ToolbarButtonStyle/\n<$link to=\"$:/config/Toolbar/ButtonClass\"><<lingo \"Hint\">></$link>\n\n<$select tiddler=\"$:/config/Toolbar/ButtonClass\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ToolbarButtonStyle]]\">\n<option value={{!!text}}>{{!!caption}}</option>\n</$list>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/ToolbarButtons": {
"title": "$:/core/ui/ControlPanel/Settings/ToolbarButtons",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtons/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/ToolbarButtons/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Toolbar/Icons\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Toolbar/Icons\"><<lingo Icons/Description>></$link> </$checkbox>\n\n<$checkbox tiddler=\"$:/config/Toolbar/Text\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <$link to=\"$:/config/Toolbar/Text\"><<lingo Text/Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings": {
"title": "$:/core/ui/ControlPanel/Settings",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Settings/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/\n\n<<lingo Hint>>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Settings]]\">\n\n<div style=\"border-top:1px solid #eee;\">\n\n!! <$link><$transclude field=\"caption\"/></$link>\n\n<$transclude/>\n\n</div>\n\n</$list>\n"
},
"$:/core/ui/ControlPanel/StoryView": {
"title": "$:/core/ui/ControlPanel/StoryView",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/StoryView/Caption}}",
"text": "{{$:/snippets/viewswitcher}}\n"
},
"$:/core/ui/ControlPanel/Stylesheets": {
"title": "$:/core/ui/ControlPanel/Stylesheets",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/Stylesheets/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n\n<<lingo Stylesheets/Hint>>\n\n{{$:/snippets/peek-stylesheets}}\n"
},
"$:/core/ui/ControlPanel/Theme": {
"title": "$:/core/ui/ControlPanel/Theme",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/Theme/Caption}}",
"text": "{{$:/snippets/themeswitcher}}\n"
},
"$:/core/ui/ControlPanel/TiddlerFields": {
"title": "$:/core/ui/ControlPanel/TiddlerFields",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/TiddlerFields/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n\n<<lingo TiddlerFields/Hint>>\n\n{{$:/snippets/allfields}}"
},
"$:/core/ui/ControlPanel/Toolbars/EditToolbar": {
"title": "$:/core/ui/ControlPanel/Toolbars/EditToolbar",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/EditToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/EditToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/EditToolbar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/EditToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>"
},
"$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate": {
"title": "$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate",
"text": "\\define config-title()\n$(config-base)$$(currentTiddler)$\n\\end\n\n<$draggable tiddler=<<currentTiddler>>>\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <span class=\"tc-icon-wrapper\"><$transclude tiddler={{!!icon}}/></span> <$transclude field=\"caption\"/> -- <i class=\"tc-muted\"><$transclude field=\"description\"/></i>\n</$draggable>\n"
},
"$:/core/ui/ControlPanel/Toolbars/EditorToolbar": {
"title": "$:/core/ui/ControlPanel/Toolbars/EditorToolbar",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/EditorToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/EditorToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/EditorToolbar/Hint}}\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/EditorToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate\"/>\n"
},
"$:/core/ui/ControlPanel/Toolbars/ItemTemplate": {
"title": "$:/core/ui/ControlPanel/Toolbars/ItemTemplate",
"text": "\\define config-title()\n$(config-base)$$(currentTiddler)$\n\\end\n\n<$draggable tiddler=<<currentTiddler>>>\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <span class=\"tc-icon-wrapper\"> <$transclude field=\"caption\"/> <i class=\"tc-muted\">-- <$transclude field=\"description\"/></i></span>\n</$draggable>\n"
},
"$:/core/ui/ControlPanel/Toolbars/PageControls": {
"title": "$:/core/ui/ControlPanel/Toolbars/PageControls",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/PageControls/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/PageControlButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/PageControls/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/PageControls\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/ControlPanel/Toolbars/ViewToolbar": {
"title": "$:/core/ui/ControlPanel/Toolbars/ViewToolbar",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/ViewToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/ViewToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/ViewToolbar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/ViewToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/ControlPanel/Toolbars": {
"title": "$:/core/ui/ControlPanel/Toolbars",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/Toolbars/Caption}}",
"text": "{{$:/language/ControlPanel/Toolbars/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Toolbars]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Toolbars/ViewToolbar\" \"$:/state/tabs/controlpanel/toolbars\" \"tc-vertical\">>\n</div>\n"
},
"$:/ControlPanel": {
"title": "$:/ControlPanel",
"icon": "$:/core/images/options-button",
"color": "#bbb",
"text": "<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Info\">>\n</div>\n"
},
"$:/core/ui/DefaultSearchResultList": {
"title": "$:/core/ui/DefaultSearchResultList",
"tags": "$:/tags/SearchResults",
"caption": "{{$:/language/Search/DefaultResults/Caption}}",
"text": "\\define searchResultList()\n//<small>{{$:/language/Search/Matches/Title}}</small>//\n\n<$list filter=\"[!is[system]search:title{$(searchTiddler)$}sort[title]limit[250]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n//<small>{{$:/language/Search/Matches/All}}</small>//\n\n<$list filter=\"[!is[system]search{$(searchTiddler)$}sort[title]limit[250]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n\\end\n<<searchResultList>>\n"
},
"$:/core/ui/EditTemplate/body/preview/diffs-current": {
"title": "$:/core/ui/EditTemplate/body/preview/diffs-current",
"tags": "$:/tags/EditPreview",
"caption": "differences from current",
"list-after": "$:/core/ui/EditTemplate/body/preview/output",
"text": "<$list filter=\"[<currentTiddler>!is[image]]\" emptyMessage={{$:/core/ui/EditTemplate/body/preview/output}}>\n\n<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle={{!!draft.of}} destTiddlerTitle=<<currentTiddler>>/>\n\n</$list>\n\n"
},
"$:/core/ui/EditTemplate/body/preview/diffs-shadow": {
"title": "$:/core/ui/EditTemplate/body/preview/diffs-shadow",
"tags": "$:/tags/EditPreview",
"caption": "differences from shadow (if any)",
"list-after": "$:/core/ui/EditTemplate/body/preview/output",
"text": "<$list filter=\"[<currentTiddler>!is[image]]\" emptyMessage={{$:/core/ui/EditTemplate/body/preview/output}}>\n\n<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle={{{ [{!!draft.of}shadowsource[]] }}} sourceSubTiddlerTitle={{!!draft.of}} destTiddlerTitle=<<currentTiddler>>/>\n\n</$list>\n\n"
},
"$:/core/ui/EditTemplate/body/preview/output": {
"title": "$:/core/ui/EditTemplate/body/preview/output",
"tags": "$:/tags/EditPreview",
"caption": "{{$:/language/EditTemplate/Body/Preview/Type/Output}}",
"text": "\\import [all[shadows+tiddlers]tag[$:/tags/Macro/View]!has[draft.of]]\n<$set name=\"tv-tiddler-preview\" value=\"yes\">\n\n<$transclude />\n\n</$set>\n"
},
"$:/state/showeditpreview": {
"title": "$:/state/showeditpreview",
"text": "no"
},
"$:/core/ui/EditTemplate/body/editor": {
"title": "$:/core/ui/EditTemplate/body/editor",
"text": "<$edit\n\n field=\"text\"\n class=\"tc-edit-texteditor tc-edit-texteditor-body\"\n placeholder={{$:/language/EditTemplate/Body/Placeholder}}\n tabindex={{$:/config/EditTabIndex}}\n focus={{{ [{$:/config/AutoFocus}match[text]then[true]] ~[[false]] }}}\n\n><$set\n\n name=\"targetTiddler\"\n value=<<currentTiddler>>\n\n><$list\n\n filter=\"[all[shadows+tiddlers]tag[$:/tags/EditorToolbar]!has[draft.of]]\"\n\n><$reveal\n\n type=\"nomatch\"\n state=<<config-visibility-title>>\n text=\"hide\"\n class=\"tc-text-editor-toolbar-item-wrapper\"\n\n><$transclude\n\n tiddler=\"$:/core/ui/EditTemplate/body/toolbar/button\"\n mode=\"inline\"\n\n/></$reveal></$list></$set></$edit>\n"
},
"$:/core/ui/EditTemplate/body/toolbar/button": {
"title": "$:/core/ui/EditTemplate/body/toolbar/button",
"text": "\\define toolbar-button-icon()\n<$list\n\n filter=\"[all[current]!has[custom-icon]]\"\n variable=\"no-custom-icon\"\n\n><$transclude\n\n tiddler={{!!icon}}\n\n/></$list>\n\\end\n\n\\define toolbar-button-tooltip()\n{{!!description}}<$macrocall $name=\"displayshortcuts\" $output=\"text/plain\" shortcuts={{!!shortcuts}} prefix=\"` - [\" separator=\"] [\" suffix=\"]`\"/>\n\\end\n\n\\define toolbar-button()\n<$list\n\n filter={{!!condition}}\n variable=\"list-condition\"\n\n><$wikify\n\n name=\"tooltip-text\"\n text=<<toolbar-button-tooltip>>\n mode=\"inline\"\n output=\"text\"\n\n><$list\n\n filter=\"[all[current]!has[dropdown]]\"\n variable=\"no-dropdown\"\n\n><$button\n\n class=\"tc-btn-invisible $(buttonClasses)$\"\n tooltip=<<tooltip-text>>\n actions={{!!actions}}\n\n><span\n\n data-tw-keyboard-shortcut={{!!shortcuts}}\n\n/><<toolbar-button-icon>><$transclude\n\n tiddler=<<currentTiddler>>\n field=\"text\"\n\n/></$button></$list><$list\n\n filter=\"[all[current]has[dropdown]]\"\n variable=\"dropdown\"\n\n><$set\n\n name=\"dropdown-state\"\n value=<<qualify \"$:/state/EditorToolbarDropdown\">>\n\n><$button\n\n popup=<<dropdown-state>>\n class=\"tc-popup-keep tc-btn-invisible $(buttonClasses)$\"\n selectedClass=\"tc-selected\"\n tooltip=<<tooltip-text>>\n actions={{!!actions}}\n\n><span\n\n data-tw-keyboard-shortcut={{!!shortcuts}}\n\n/><<toolbar-button-icon>><$transclude\n\n tiddler=<<currentTiddler>>\n field=\"text\"\n\n/></$button><$reveal\n\n state=<<dropdown-state>>\n type=\"popup\"\n position=\"below\"\n animate=\"yes\"\n tag=\"span\"\n\n><div\n\n class=\"tc-drop-down tc-popup-keep\"\n\n><$transclude\n\n tiddler={{!!dropdown}}\n mode=\"block\"\n\n/></div></$reveal></$set></$list></$wikify></$list>\n\\end\n\n\\define toolbar-button-outer()\n<$set\n\n name=\"buttonClasses\"\n value={{!!button-classes}}\n\n><<toolbar-button>></$set>\n\\end\n\n<<toolbar-button-outer>>"
},
"$:/core/ui/EditTemplate/body": {
"title": "$:/core/ui/EditTemplate/body",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/Body/\n\\define config-visibility-title()\n$:/config/EditorToolbarButtons/Visibility/$(currentTiddler)$\n\\end\n<$list filter=\"[all[current]has[_canonical_uri]]\">\n\n<div class=\"tc-message-box\">\n\n<<lingo External/Hint>>\n\n<a href={{!!_canonical_uri}}><$text text={{!!_canonical_uri}}/></a>\n\n<$edit-text field=\"_canonical_uri\" class=\"tc-edit-fields\" tabindex={{$:/config/EditTabIndex}}></$edit-text>\n\n</div>\n\n</$list>\n\n<$list filter=\"[all[current]!has[_canonical_uri]]\">\n\n<$reveal state=\"$:/state/showeditpreview\" type=\"match\" text=\"yes\">\n\n<div class=\"tc-tiddler-preview\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/editor\" mode=\"inline\"/>\n\n<div class=\"tc-tiddler-preview-preview\">\n\n<$transclude tiddler={{$:/state/editpreviewtype}} mode=\"inline\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/preview/output\" mode=\"inline\"/>\n\n</$transclude>\n\n</div>\n\n</div>\n\n</$reveal>\n\n<$reveal state=\"$:/state/showeditpreview\" type=\"nomatch\" text=\"yes\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/editor\" mode=\"inline\"/>\n\n</$reveal>\n\n</$list>\n"
},
"$:/core/ui/EditTemplate/controls": {
"title": "$:/core/ui/EditTemplate/controls",
"tags": "$:/tags/EditTemplate",
"text": "\\define config-title()\n$:/config/EditToolbarButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-tiddler-title tc-tiddler-edit-title\">\n<$view field=\"title\"/>\n<span class=\"tc-tiddler-controls tc-titlebar\"><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditToolbar]!has[draft.of]]\" variable=\"listItem\"><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$transclude tiddler=<<listItem>>/></$reveal></$list></span>\n<div style=\"clear: both;\"></div>\n</div>\n"
},
"$:/core/ui/EditTemplate/fields": {
"title": "$:/core/ui/EditTemplate/fields",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/\n\\define config-title()\n$:/config/EditTemplateFields/Visibility/$(currentField)$\n\\end\n\n\\define config-filter()\n[[hide]] -[title{$(config-title)$}]\n\\end\n\n\\define current-tiddler-new-field-selector()\n[data-tiddler-title=\"$(currentTiddlerCSSescaped)$\"] .tc-edit-field-add-name input\n\\end\n\n\\define new-field-actions()\n<$action-sendmessage $message=\"tm-add-field\" $name={{{ [<newFieldNameTiddler>get[text]] }}} $value={{{ [<newFieldValueTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newFieldNameTiddler>>/>\n<$action-deletetiddler $tiddler=<<newFieldValueTiddler>>/>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=<<current-tiddler-new-field-selector>>/>\n\\end\n\n\\define new-field()\n<$vars name={{{ [<newFieldNameTiddler>get[text]] }}}>\n<$reveal type=\"nomatch\" text=\"\" default=<<name>>>\n<$button tooltip=<<lingo Fields/Add/Button/Hint>>>\n<$action-sendmessage $message=\"tm-add-field\"\n$name=<<name>>\n$value={{{ [<newFieldValueTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newFieldNameTiddler>>/>\n<$action-deletetiddler $tiddler=<<newFieldValueTiddler>>/>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" text=\"\" default=<<name>>>\n<$button>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n</$vars>\n\\end\n\\whitespace trim\n\n<div class=\"tc-edit-fields\">\n<table class=\"tc-edit-fields\">\n<tbody>\n<$list filter=\"[all[current]fields[]] +[sort[title]]\" variable=\"currentField\" storyview=\"pop\">\n<$list filter=<<config-filter>> variable=\"temp\">\n<tr class=\"tc-edit-field\">\n<td class=\"tc-edit-field-name\">\n<$text text=<<currentField>>/>:</td>\n<td class=\"tc-edit-field-value\">\n<$edit-text tiddler=<<currentTiddler>> field=<<currentField>> placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}} tabindex={{$:/config/EditTabIndex}}/>\n</td>\n<td class=\"tc-edit-field-remove\">\n<$button class=\"tc-btn-invisible\" tooltip={{$:/language/EditTemplate/Field/Remove/Hint}} aria-label={{$:/language/EditTemplate/Field/Remove/Caption}}>\n<$action-deletefield $field=<<currentField>>/>\n{{$:/core/images/delete-button}}\n</$button>\n</td>\n</tr>\n</$list>\n</$list>\n</tbody>\n</table>\n</div>\n\n<$fieldmangler>\n<div class=\"tc-edit-field-add\">\n<em class=\"tc-edit\">\n<<lingo Fields/Add/Prompt>> \n</em>\n<span class=\"tc-edit-field-add-name\">\n<$edit-text tiddler=<<newFieldNameTiddler>> tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Name/Placeholder}} focusPopup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-edit-texteditor tc-popup-handle\" tabindex={{$:/config/EditTabIndex}} focus={{{ [{$:/config/AutoFocus}match[fields]then[true]] ~[[false]] }}}/>\n</span> \n<$button popup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Field/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Field/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button> \n<$reveal state=<<qualify \"$:/state/popup/field-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$linkcatcher to=<<newFieldNameTiddler>>>\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/User>>\n</div>\n<$set name=\"newFieldName\" value={{{ [<newFieldNameTiddler>get[text]] }}}>\n<$list filter=\"[!is[shadow]!is[system]fields[]search:title<newFieldName>sort[]] -created -creator -draft.of -draft.title -modified -modifier -tags -text -title -type\" variable=\"currentField\">\n<$link to=<<currentField>>>\n<$text text=<<currentField>>/>\n</$link>\n</$list>\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/System>>\n</div>\n<$list filter=\"[fields[]search:title<newFieldName>sort[]] -[!is[shadow]!is[system]fields[]]\" variable=\"currentField\">\n<$link to=<<currentField>>>\n<$text text=<<currentField>>/>\n</$link>\n</$list>\n</$set>\n</$linkcatcher>\n</$set>\n</div>\n</$reveal>\n<span class=\"tc-edit-field-add-value\">\n<$set name=\"currentTiddlerCSSescaped\" value={{{ [<currentTiddler>escapecss[]] }}}>\n<$keyboard key=\"((add-field))\" actions=<<new-field-actions>>>\n<$edit-text tiddler=<<newFieldValueTiddler>> tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}} class=\"tc-edit-texteditor\" tabindex={{$:/config/EditTabIndex}}/>\n</$keyboard>\n</$set>\n</span> \n<span class=\"tc-edit-field-add-button\">\n<$macrocall $name=\"new-field\"/>\n</span>\n</div>\n</$fieldmangler>\n"
},
"$:/core/ui/EditTemplate/shadow": {
"title": "$:/core/ui/EditTemplate/shadow",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/Shadow/\n\\define pluginLinkBody()\n<$link to=\"\"\"$(pluginTitle)$\"\"\">\n<$text text=\"\"\"$(pluginTitle)$\"\"\"/>\n</$link>\n\\end\n<$list filter=\"[all[current]get[draft.of]is[shadow]!is[tiddler]]\">\n\n<$list filter=\"[all[current]shadowsource[]]\" variable=\"pluginTitle\">\n\n<$set name=\"pluginLink\" value=<<pluginLinkBody>>>\n<div class=\"tc-message-box\">\n\n<<lingo Warning>>\n\n</div>\n</$set>\n</$list>\n\n</$list>\n\n<$list filter=\"[all[current]get[draft.of]is[shadow]is[tiddler]]\">\n\n<$list filter=\"[all[current]shadowsource[]]\" variable=\"pluginTitle\">\n\n<$set name=\"pluginLink\" value=<<pluginLinkBody>>>\n<div class=\"tc-message-box\">\n\n<<lingo OverriddenWarning>>\n\n</div>\n</$set>\n</$list>\n\n</$list>"
},
"$:/core/ui/EditTemplate/tags": {
"title": "$:/core/ui/EditTemplate/tags",
"tags": "$:/tags/EditTemplate",
"text": "\\whitespace trim\n\n\\define lingo-base() $:/language/EditTemplate/\n\n\\define tag-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-body-inner(colour,fallbackTarget,colourA,colourB,icon)\n\\whitespace trim\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<span style=<<tag-styles>> class=\"tc-tag-label tc-tag-list-item\">\n<$transclude tiddler=\"\"\"$icon$\"\"\"/><$view field=\"title\" format=\"text\" />\n<$button message=\"tm-remove-tag\" param={{!!title}} class=\"tc-btn-invisible tc-remove-tag-button\">{{$:/core/images/close-button}}</$button>\n</span>\n</$vars>\n\\end\n\n\\define tag-body(colour,palette,icon)\n<$macrocall $name=\"tag-body-inner\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}} icon=\"\"\"$icon$\"\"\"/>\n\\end\n\n<div class=\"tc-edit-tags\">\n<$fieldmangler>\n<$list filter=\"[all[current]tags[]sort[title]]\" storyview=\"pop\">\n<$macrocall $name=\"tag-body\" colour={{!!color}} palette={{$:/palette}} icon={{!!icon}}/>\n</$list>\n<$set name=\"tabIndex\" value={{$:/config/EditTabIndex}}>\n<$macrocall $name=\"tag-picker\"/>\n</$set>\n</$fieldmangler>\n</div>\n"
},
"$:/core/ui/EditTemplate/title": {
"title": "$:/core/ui/EditTemplate/title",
"tags": "$:/tags/EditTemplate",
"text": "<$edit-text field=\"draft.title\" class=\"tc-titlebar tc-edit-texteditor\" focus={{{ [{$:/config/AutoFocus}match[title]then[true]] ~[[false]] }}} tabindex={{$:/config/EditTabIndex}}/>\n\n<$vars pattern=\"\"\"[\\|\\[\\]{}]\"\"\" bad-chars=\"\"\"`| [ ] { }`\"\"\">\n\n<$list filter=\"[all[current]regexp:draft.title<pattern>]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/BadCharacterWarning}}\n\n</div>\n\n</$list>\n\n</$vars>\n\n<$reveal state=\"!!draft.title\" type=\"nomatch\" text={{!!draft.of}} tag=\"div\">\n\n<$list filter=\"[{!!draft.title}!is[missing]]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/Exists/Prompt}}\n\n</div>\n\n</$list>\n\n<$list filter=\"[{!!draft.of}!is[missing]]\" variable=\"listItem\">\n\n<$vars fromTitle={{!!draft.of}} toTitle={{!!draft.title}}>\n\n<$checkbox tiddler=\"$:/config/RelinkOnRename\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> {{$:/language/EditTemplate/Title/Relink/Prompt}}</$checkbox>\n\n<$list filter=\"[title<fromTitle>backlinks[]limit[1]]\" variable=\"listItem\">\n\n<$vars stateTiddler=<<qualify \"$:/state/edit/references\">> >\n\n<$reveal type=\"nomatch\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"show\" class=\"tc-btn-invisible\">{{$:/core/images/right-arrow}} \n<<lingo EditTemplate/Title/References/Prompt>></$button>\n</$reveal>\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"hide\" class=\"tc-btn-invisible\">{{$:/core/images/down-arrow}} \n<<lingo EditTemplate/Title/References/Prompt>></$button>\n</$reveal>\n\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$tiddler tiddler=<<fromTitle>> >\n<$transclude tiddler=\"$:/core/ui/TiddlerInfo/References\"/>\n</$tiddler>\n</$reveal>\n\n</$vars>\n\n</$list>\n\n</$vars>\n\n</$list>\n\n</$reveal>\n"
},
"$:/core/ui/EditTemplate/type": {
"title": "$:/core/ui/EditTemplate/type",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/\n\\whitespace trim\n<div class=\"tc-type-selector\"><$fieldmangler>\n<em class=\"tc-edit\"><<lingo Type/Prompt>></em> <$edit-text field=\"type\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Type/Placeholder}} focusPopup=<<qualify \"$:/state/popup/type-dropdown\">> class=\"tc-edit-typeeditor tc-edit-texteditor tc-popup-handle\" tabindex={{$:/config/EditTabIndex}} focus={{{ [{$:/config/AutoFocus}match[type]then[true]] ~[[false]] }}}/> <$button popup=<<qualify \"$:/state/popup/type-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Type/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Type/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button> <$button message=\"tm-remove-field\" param=\"type\" class=\"tc-btn-invisible tc-btn-icon\" tooltip={{$:/language/EditTemplate/Type/Delete/Hint}} aria-label={{$:/language/EditTemplate/Type/Delete/Caption}}>{{$:/core/images/delete-button}}</$button>\n</$fieldmangler></div>\n\n<div class=\"tc-block-dropdown-wrapper\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$reveal state=<<qualify \"$:/state/popup/type-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$linkcatcher to=\"!!type\">\n<$list filter='[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]each[group]sort[group-sort]]'>\n<div class=\"tc-dropdown-item\">\n<$text text={{!!group}}/>\n</div>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]group{!!group}] +[sort[description]]\"><$link to={{!!name}}><$view field=\"description\"/> (<$view field=\"name\"/>)</$link>\n</$list>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>\n</$set>\n</div>\n"
},
"$:/core/ui/EditTemplate": {
"title": "$:/core/ui/EditTemplate",
"text": "\\define save-tiddler-actions()\n<$action-sendmessage $message=\"tm-add-tag\" $param={{{ [<newTagNameTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newTagNameTiddler>>/>\n<$action-sendmessage $message=\"tm-add-field\" $name={{{ [<newFieldNameTiddler>get[text]] }}} $value={{{ [<newFieldValueTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newFieldNameTiddler>>/>\n<$action-deletetiddler $tiddler=<<newFieldValueTiddler>>/>\n<$action-sendmessage $message=\"tm-save-tiddler\"/>\n\\end\n<div data-tiddler-title=<<currentTiddler>> data-tags={{!!tags}} class={{{ tc-tiddler-frame tc-tiddler-edit-frame [<currentTiddler>is[tiddler]then[tc-tiddler-exists]] [<currentTiddler>is[missing]!is[shadow]then[tc-tiddler-missing]] [<currentTiddler>is[shadow]then[tc-tiddler-exists tc-tiddler-shadow]] [<currentTiddler>is[system]then[tc-tiddler-system]] [{!!class}] [<currentTiddler>tags[]encodeuricomponent[]addprefix[tc-tagged-]] +[join[ ]] }}}>\n<$fieldmangler>\n<$vars storyTiddler=<<currentTiddler>> newTagNameTiddler=<<qualify \"$:/temp/NewTagName\">> newFieldNameTiddler=<<qualify \"$:/temp/NewFieldName\">> newFieldValueTiddler=<<qualify \"$:/temp/NewFieldValue\">>>\n<$keyboard key=\"((cancel-edit-tiddler))\" message=\"tm-cancel-tiddler\">\n<$keyboard key=\"((save-tiddler))\" actions=<<save-tiddler-actions>>>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditTemplate]!has[draft.of]]\" variable=\"listItem\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>>/>\n</$set>\n</$list>\n</$keyboard>\n</$keyboard>\n</$vars>\n</$fieldmangler>\n</div>\n"
},
"$:/core/ui/Buttons/cancel": {
"title": "$:/core/ui/Buttons/cancel",
"tags": "$:/tags/EditToolbar",
"caption": "{{$:/core/images/cancel-button}} {{$:/language/Buttons/Cancel/Caption}}",
"description": "{{$:/language/Buttons/Cancel/Hint}}",
"text": "<$button message=\"tm-cancel-tiddler\" tooltip={{$:/language/Buttons/Cancel/Hint}} aria-label={{$:/language/Buttons/Cancel/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/cancel-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Cancel/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/delete": {
"title": "$:/core/ui/Buttons/delete",
"tags": "$:/tags/EditToolbar $:/tags/ViewToolbar",
"caption": "{{$:/core/images/delete-button}} {{$:/language/Buttons/Delete/Caption}}",
"description": "{{$:/language/Buttons/Delete/Hint}}",
"text": "<$button message=\"tm-delete-tiddler\" tooltip={{$:/language/Buttons/Delete/Hint}} aria-label={{$:/language/Buttons/Delete/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/delete-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Delete/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/save": {
"title": "$:/core/ui/Buttons/save",
"tags": "$:/tags/EditToolbar",
"caption": "{{$:/core/images/done-button}} {{$:/language/Buttons/Save/Caption}}",
"description": "{{$:/language/Buttons/Save/Hint}}",
"text": "\\define save-tiddler-button()\n<$fieldmangler><$button tooltip={{$:/language/Buttons/Save/Hint}} aria-label={{$:/language/Buttons/Save/Caption}} class=<<tv-config-toolbar-class>>>\n<<save-tiddler-actions>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/done-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Save/Caption}}/></span>\n</$list>\n</$button></$fieldmangler>\n\\end\n<<save-tiddler-button>>\n"
},
"$:/core/ui/EditorToolbar/bold": {
"title": "$:/core/ui/EditorToolbar/bold",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/bold",
"caption": "{{$:/language/Buttons/Bold/Caption}}",
"description": "{{$:/language/Buttons/Bold/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((bold))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"''\"\n\tsuffix=\"''\"\n/>\n"
},
"$:/core/ui/EditorToolbar/clear-dropdown": {
"title": "$:/core/ui/EditorToolbar/clear-dropdown",
"text": "''{{$:/language/Buttons/Clear/Hint}}''\n\n<div class=\"tc-colour-chooser\">\n\n<$macrocall $name=\"colour-picker\" actions=\"\"\"\n\n<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"clear\"\n\tcolour=<<colour-picker-value>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n\n</div>\n"
},
"$:/core/ui/EditorToolbar/clear": {
"title": "$:/core/ui/EditorToolbar/clear",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/erase",
"caption": "{{$:/language/Buttons/Clear/Caption}}",
"description": "{{$:/language/Buttons/Clear/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/clear-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/editor-height-dropdown": {
"title": "$:/core/ui/EditorToolbar/editor-height-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/EditorHeight/\n''<<lingo Hint>>''\n\n<$radio tiddler=\"$:/config/TextEditor/EditorHeight/Mode\" value=\"auto\"> {{$:/core/images/auto-height}} <<lingo Caption/Auto>></$radio>\n\n<$radio tiddler=\"$:/config/TextEditor/EditorHeight/Mode\" value=\"fixed\"> {{$:/core/images/fixed-height}} <<lingo Caption/Fixed>> <$edit-text tag=\"input\" tiddler=\"$:/config/TextEditor/EditorHeight/Height\" default=\"100px\"/></$radio>\n"
},
"$:/core/ui/EditorToolbar/editor-height": {
"title": "$:/core/ui/EditorToolbar/editor-height",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/fixed-height",
"custom-icon": "yes",
"caption": "{{$:/language/Buttons/EditorHeight/Caption}}",
"description": "{{$:/language/Buttons/EditorHeight/Hint}}",
"condition": "[<targetTiddler>type[]] [<targetTiddler>get[type]prefix[text/]] +[first[]]",
"dropdown": "$:/core/ui/EditorToolbar/editor-height-dropdown",
"text": "<$reveal tag=\"span\" state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"fixed\">\n{{$:/core/images/fixed-height}}\n</$reveal>\n<$reveal tag=\"span\" state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"auto\">\n{{$:/core/images/auto-height}}\n</$reveal>\n"
},
"$:/core/ui/EditorToolbar/excise-dropdown": {
"title": "$:/core/ui/EditorToolbar/excise-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Excise/\n\n\\define body(config-title)\n''<<lingo Hint>>''\n\n<<lingo Caption/NewTitle>> <$edit-text tag=\"input\" tiddler=\"$config-title$/new-title\" default=\"\" focus=\"true\"/>\n\n<$set name=\"new-title\" value={{$config-title$/new-title}}>\n<$list filter=\"\"\"[<new-title>is[tiddler]]\"\"\">\n<div class=\"tc-error\">\n<<lingo Caption/TiddlerExists>>\n</div>\n</$list>\n</$set>\n\n<$checkbox tiddler=\"\"\"$config-title$/tagnew\"\"\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"false\"> <<lingo Caption/Tag>></$checkbox>\n\n<<lingo Caption/Replace>> <$select tiddler=\"\"\"$config-title$/type\"\"\" default=\"transclude\">\n<option value=\"link\"><<lingo Caption/Replace/Link>></option>\n<option value=\"transclude\"><<lingo Caption/Replace/Transclusion>></option>\n<option value=\"macro\"><<lingo Caption/Replace/Macro>></option>\n</$select>\n\n<$reveal state=\"\"\"$config-title$/type\"\"\" type=\"match\" text=\"macro\">\n<<lingo Caption/MacroName>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/macro-title\"\"\" default=\"translink\"/>\n</$reveal>\n\n<$button>\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"excise\"\n\ttitle={{$config-title$/new-title}}\n\ttype={{$config-title$/type}}\n\tmacro={{$config-title$/macro-title}}\n\ttagnew={{$config-title$/tagnew}}\n/>\n<$action-deletetiddler\n\t$tiddler=\"$config-title$/new-title\"\n/>\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n<<lingo Caption/Excise>>\n</$button>\n\\end\n\n<$macrocall $name=\"body\" config-title=<<qualify \"$:/state/Excise/\">>/>\n"
},
"$:/core/ui/EditorToolbar/excise": {
"title": "$:/core/ui/EditorToolbar/excise",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/excise",
"caption": "{{$:/language/Buttons/Excise/Caption}}",
"description": "{{$:/language/Buttons/Excise/Hint}}",
"condition": "[<targetTiddler>type[]] [<targetTiddler>type[text/vnd.tiddlywiki]] +[first[]]",
"shortcuts": "((excise))",
"dropdown": "$:/core/ui/EditorToolbar/excise-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/heading-1": {
"title": "$:/core/ui/EditorToolbar/heading-1",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-1",
"caption": "{{$:/language/Buttons/Heading1/Caption}}",
"description": "{{$:/language/Buttons/Heading1/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((heading-1))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"1\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-2": {
"title": "$:/core/ui/EditorToolbar/heading-2",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-2",
"caption": "{{$:/language/Buttons/Heading2/Caption}}",
"description": "{{$:/language/Buttons/Heading2/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-2))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"2\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-3": {
"title": "$:/core/ui/EditorToolbar/heading-3",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-3",
"caption": "{{$:/language/Buttons/Heading3/Caption}}",
"description": "{{$:/language/Buttons/Heading3/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-3))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"3\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-4": {
"title": "$:/core/ui/EditorToolbar/heading-4",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-4",
"caption": "{{$:/language/Buttons/Heading4/Caption}}",
"description": "{{$:/language/Buttons/Heading4/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-4))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"4\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-5": {
"title": "$:/core/ui/EditorToolbar/heading-5",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-5",
"caption": "{{$:/language/Buttons/Heading5/Caption}}",
"description": "{{$:/language/Buttons/Heading5/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-5))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"5\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-6": {
"title": "$:/core/ui/EditorToolbar/heading-6",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-6",
"caption": "{{$:/language/Buttons/Heading6/Caption}}",
"description": "{{$:/language/Buttons/Heading6/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-6))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"6\"\n/>\n"
},
"$:/core/ui/EditorToolbar/italic": {
"title": "$:/core/ui/EditorToolbar/italic",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/italic",
"caption": "{{$:/language/Buttons/Italic/Caption}}",
"description": "{{$:/language/Buttons/Italic/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((italic))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"//\"\n\tsuffix=\"//\"\n/>\n"
},
"$:/core/ui/EditorToolbar/line-width-dropdown": {
"title": "$:/core/ui/EditorToolbar/line-width-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/LineWidth/\n\n\\define toolbar-line-width-inner()\n<$button tag=\"a\" tooltip=\"\"\"$(line-width)$\"\"\">\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/LineWidth\"\n\t$value=\"$(line-width)$\"\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<div style=\"display: inline-block; margin: 4px calc(80px - $(line-width)$); background-color: #000; width: calc(100px + $(line-width)$ * 2); height: $(line-width)$; border-radius: 120px; vertical-align: middle;\"/>\n\n<span style=\"margin-left: 8px;\">\n\n<$text text=\"\"\"$(line-width)$\"\"\"/>\n\n<$reveal state=\"$:/config/BitmapEditor/LineWidth\" type=\"match\" text=\"\"\"$(line-width)$\"\"\" tag=\"span\">\n\n<$entity entity=\" \"/>\n\n<$entity entity=\"✓\"/>\n\n</$reveal>\n\n</span>\n\n</$button>\n\\end\n\n''<<lingo Hint>>''\n\n<$list filter={{$:/config/BitmapEditor/LineWidths}} variable=\"line-width\">\n\n<<toolbar-line-width-inner>>\n\n</$list>\n"
},
"$:/core/ui/EditorToolbar/line-width": {
"title": "$:/core/ui/EditorToolbar/line-width",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/line-width",
"caption": "{{$:/language/Buttons/LineWidth/Caption}}",
"description": "{{$:/language/Buttons/LineWidth/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/line-width-dropdown",
"text": "<$text text={{$:/config/BitmapEditor/LineWidth}}/>"
},
"$:/core/ui/EditorToolbar/link-dropdown": {
"title": "$:/core/ui/EditorToolbar/link-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Link/\n\n\\define add-link-actions()\n<$action-sendmessage $message=\"tm-edit-text-operation\" $param=\"make-link\" text={{$(linkTiddler)$}} />\n<$action-deletetiddler $tiddler=<<dropdown-state>> />\n<$action-deletetiddler $tiddler=<<searchTiddler>> />\n<$action-deletetiddler $tiddler=<<linkTiddler>> />\n\\end\n\n\\define external-link()\n<$button class=\"tc-btn-invisible\" style=\"width: auto; display: inline-block; background-colour: inherit;\" actions=<<add-link-actions>>>\n{{$:/core/images/chevron-right}}\n</$button>\n\\end\n\n\\define body(config-title)\n''<<lingo Hint>>''\n\n<$vars searchTiddler=\"\"\"$config-title$/search\"\"\" linkTiddler=\"\"\"$config-title$/link\"\"\" linktext=\"\" >\n\n<$vars linkTiddler=<<searchTiddler>>>\n<$keyboard key=\"ENTER\" actions=<<add-link-actions>>>\n<$edit-text tiddler=<<searchTiddler>> type=\"search\" tag=\"input\" focus=\"true\" placeholder={{$:/language/Search/Search}} default=\"\"/>\n<$reveal tag=\"span\" state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n<<external-link>>\n<$button class=\"tc-btn-invisible\" style=\"width: auto; display: inline-block; background-colour: inherit;\">\n<$action-setfield $tiddler=<<searchTiddler>> text=\"\" />\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</$keyboard>\n</$vars>\n\n<$reveal tag=\"div\" state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n\n<$linkcatcher actions=<<add-link-actions>> to=<<linkTiddler>>>\n\n{{$:/core/ui/SearchResults}}\n\n</$linkcatcher>\n\n</$reveal>\n\n</$vars>\n\n\\end\n\n<$macrocall $name=\"body\" config-title=<<qualify \"$:/state/Link/\">>/>"
},
"$:/core/ui/EditorToolbar/link": {
"title": "$:/core/ui/EditorToolbar/link",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/link",
"caption": "{{$:/language/Buttons/Link/Caption}}",
"description": "{{$:/language/Buttons/Link/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((link))",
"dropdown": "$:/core/ui/EditorToolbar/link-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/linkify": {
"title": "$:/core/ui/EditorToolbar/linkify",
"caption": "{{$:/language/Buttons/Linkify/Caption}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"description": "{{$:/language/Buttons/Linkify/Hint}}",
"icon": "$:/core/images/linkify",
"list-before": "$:/core/ui/EditorToolbar/mono-block",
"shortcuts": "((linkify))",
"tags": "$:/tags/EditorToolbar",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"[[\"\n\tsuffix=\"]]\"\n/>\n"
},
"$:/core/ui/EditorToolbar/list-bullet": {
"title": "$:/core/ui/EditorToolbar/list-bullet",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/list-bullet",
"caption": "{{$:/language/Buttons/ListBullet/Caption}}",
"description": "{{$:/language/Buttons/ListBullet/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((list-bullet))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"*\"\n\tcount=\"1\"\n/>\n"
},
"$:/core/ui/EditorToolbar/list-number": {
"title": "$:/core/ui/EditorToolbar/list-number",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/list-number",
"caption": "{{$:/language/Buttons/ListNumber/Caption}}",
"description": "{{$:/language/Buttons/ListNumber/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((list-number))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"1\"\n/>\n"
},
"$:/core/ui/EditorToolbar/mono-block": {
"title": "$:/core/ui/EditorToolbar/mono-block",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/mono-block",
"caption": "{{$:/language/Buttons/MonoBlock/Caption}}",
"description": "{{$:/language/Buttons/MonoBlock/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((mono-block))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n```\"\n\tsuffix=\"```\"\n/>\n"
},
"$:/core/ui/EditorToolbar/mono-line": {
"title": "$:/core/ui/EditorToolbar/mono-line",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/mono-line",
"caption": "{{$:/language/Buttons/MonoLine/Caption}}",
"description": "{{$:/language/Buttons/MonoLine/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((mono-line))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"`\"\n\tsuffix=\"`\"\n/>\n"
},
"$:/core/ui/EditorToolbar/more-dropdown": {
"title": "$:/core/ui/EditorToolbar/more-dropdown",
"text": "\\define config-title()\n$:/config/EditorToolbarButtons/Visibility/$(toolbarItem)$\n\\end\n\n\\define conditional-button()\n<$list filter={{$(toolbarItem)$!!condition}} variable=\"condition\">\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/toolbar/button\" mode=\"inline\"/> <$transclude tiddler=<<toolbarItem>> field=\"description\"/>\n</$list>\n\\end\n\n<div class=\"tc-text-editor-toolbar-more\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditorToolbar]!has[draft.of]] -[[$:/core/ui/EditorToolbar/more]]\">\n<$reveal type=\"match\" state=<<config-visibility-title>> text=\"hide\" tag=\"div\">\n<<conditional-button>>\n</$reveal>\n</$list>\n</div>\n"
},
"$:/core/ui/EditorToolbar/more": {
"title": "$:/core/ui/EditorToolbar/more",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/down-arrow",
"caption": "{{$:/language/Buttons/More/Caption}}",
"description": "{{$:/language/Buttons/More/Hint}}",
"condition": "[<targetTiddler>]",
"dropdown": "$:/core/ui/EditorToolbar/more-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/opacity-dropdown": {
"title": "$:/core/ui/EditorToolbar/opacity-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Opacity/\n\n\\define toolbar-opacity-inner()\n<$button tag=\"a\" tooltip=\"\"\"$(opacity)$\"\"\">\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/Opacity\"\n\t$value=\"$(opacity)$\"\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<div style=\"display: inline-block; vertical-align: middle; background-color: $(current-paint-colour)$; opacity: $(opacity)$; width: 1em; height: 1em; border-radius: 50%;\"/>\n\n<span style=\"margin-left: 8px;\">\n\n<$text text=\"\"\"$(opacity)$\"\"\"/>\n\n<$reveal state=\"$:/config/BitmapEditor/Opacity\" type=\"match\" text=\"\"\"$(opacity)$\"\"\" tag=\"span\">\n\n<$entity entity=\" \"/>\n\n<$entity entity=\"✓\"/>\n\n</$reveal>\n\n</span>\n\n</$button>\n\\end\n\n\\define toolbar-opacity()\n''<<lingo Hint>>''\n\n<$list filter={{$:/config/BitmapEditor/Opacities}} variable=\"opacity\">\n\n<<toolbar-opacity-inner>>\n\n</$list>\n\\end\n\n<$set name=\"current-paint-colour\" value={{$:/config/BitmapEditor/Colour}}>\n\n<$set name=\"current-opacity\" value={{$:/config/BitmapEditor/Opacity}}>\n\n<<toolbar-opacity>>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/EditorToolbar/opacity": {
"title": "$:/core/ui/EditorToolbar/opacity",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/opacity",
"caption": "{{$:/language/Buttons/Opacity/Caption}}",
"description": "{{$:/language/Buttons/Opacity/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/opacity-dropdown",
"text": "<$text text={{$:/config/BitmapEditor/Opacity}}/>\n"
},
"$:/core/ui/EditorToolbar/paint-dropdown": {
"title": "$:/core/ui/EditorToolbar/paint-dropdown",
"text": "''{{$:/language/Buttons/Paint/Hint}}''\n\n<$macrocall $name=\"colour-picker\" actions=\"\"\"\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/Colour\"\n\t$value=<<colour-picker-value>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n"
},
"$:/core/ui/EditorToolbar/paint": {
"title": "$:/core/ui/EditorToolbar/paint",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/paint",
"caption": "{{$:/language/Buttons/Paint/Caption}}",
"description": "{{$:/language/Buttons/Paint/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/paint-dropdown",
"text": "\\define toolbar-paint()\n<div style=\"display: inline-block; vertical-align: middle; background-color: $(colour-picker-value)$; width: 1em; height: 1em; border-radius: 50%;\"/>\n\\end\n<$set name=\"colour-picker-value\" value={{$:/config/BitmapEditor/Colour}}>\n<<toolbar-paint>>\n</$set>\n"
},
"$:/core/ui/EditorToolbar/picture-dropdown": {
"title": "$:/core/ui/EditorToolbar/picture-dropdown",
"text": "\\define replacement-text()\n[img[$(imageTitle)$]]\n\\end\n\n''{{$:/language/Buttons/Picture/Hint}}''\n\n<$macrocall $name=\"image-picker\" actions=\"\"\"\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext=<<replacement-text>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n"
},
"$:/core/ui/EditorToolbar/picture": {
"title": "$:/core/ui/EditorToolbar/picture",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/picture",
"caption": "{{$:/language/Buttons/Picture/Caption}}",
"description": "{{$:/language/Buttons/Picture/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((picture))",
"dropdown": "$:/core/ui/EditorToolbar/picture-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/preview-type-dropdown": {
"title": "$:/core/ui/EditorToolbar/preview-type-dropdown",
"text": "\\define preview-type-button()\n<$button tag=\"a\">\n\n<$action-setfield $tiddler=\"$:/state/editpreviewtype\" $value=\"$(previewType)$\"/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$transclude tiddler=<<previewType>> field=\"caption\" mode=\"inline\">\n\n<$view tiddler=<<previewType>> field=\"title\" mode=\"inline\"/>\n\n</$transclude> \n\n<$reveal tag=\"span\" state=\"$:/state/editpreviewtype\" type=\"match\" text=<<previewType>> default=\"$:/core/ui/EditTemplate/body/preview/output\">\n\n<$entity entity=\" \"/>\n\n<$entity entity=\"✓\"/>\n\n</$reveal>\n\n</$button>\n\\end\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditPreview]!has[draft.of]]\" variable=\"previewType\">\n\n<<preview-type-button>>\n\n</$list>\n"
},
"$:/core/ui/EditorToolbar/preview-type": {
"title": "$:/core/ui/EditorToolbar/preview-type",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/chevron-down",
"caption": "{{$:/language/Buttons/PreviewType/Caption}}",
"description": "{{$:/language/Buttons/PreviewType/Hint}}",
"condition": "[all[shadows+tiddlers]tag[$:/tags/EditPreview]!has[draft.of]butfirst[]limit[1]]",
"button-classes": "tc-text-editor-toolbar-item-adjunct",
"dropdown": "$:/core/ui/EditorToolbar/preview-type-dropdown"
},
"$:/core/ui/EditorToolbar/preview": {
"title": "$:/core/ui/EditorToolbar/preview",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/preview-open",
"custom-icon": "yes",
"caption": "{{$:/language/Buttons/Preview/Caption}}",
"description": "{{$:/language/Buttons/Preview/Hint}}",
"condition": "[<targetTiddler>]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((preview))",
"text": "<$reveal state=\"$:/state/showeditpreview\" type=\"match\" text=\"yes\" tag=\"span\">\n{{$:/core/images/preview-open}}\n<$action-setfield $tiddler=\"$:/state/showeditpreview\" $value=\"no\"/>\n</$reveal>\n<$reveal state=\"$:/state/showeditpreview\" type=\"nomatch\" text=\"yes\" tag=\"span\">\n{{$:/core/images/preview-closed}}\n<$action-setfield $tiddler=\"$:/state/showeditpreview\" $value=\"yes\"/>\n</$reveal>\n"
},
"$:/core/ui/EditorToolbar/quote": {
"title": "$:/core/ui/EditorToolbar/quote",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/quote",
"caption": "{{$:/language/Buttons/Quote/Caption}}",
"description": "{{$:/language/Buttons/Quote/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((quote))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n<<<\"\n\tsuffix=\"<<<\"\n/>\n"
},
"$:/core/ui/EditorToolbar/rotate-left": {
"title": "$:/core/ui/EditorToolbar/rotate-left",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/rotate-left",
"caption": "{{$:/language/Buttons/RotateLeft/Caption}}",
"description": "{{$:/language/Buttons/RotateLeft/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"rotate-left\"\n/>\n"
},
"$:/core/ui/EditorToolbar/size-dropdown": {
"title": "$:/core/ui/EditorToolbar/size-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Size/\n\n\\define toolbar-button-size-preset(config-title)\n<$set name=\"width\" filter=\"$(sizePair)$ +[first[]]\">\n\n<$set name=\"height\" filter=\"$(sizePair)$ +[last[]]\">\n\n<$button tag=\"a\">\n\n<$action-setfield\n\t$tiddler=\"\"\"$config-title$/new-width\"\"\"\n\t$value=<<width>>\n/>\n\n<$action-setfield\n\t$tiddler=\"\"\"$config-title$/new-height\"\"\"\n\t$value=<<height>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/presets-popup\"\"\"\n/>\n\n<$text text=<<width>>/> × <$text text=<<height>>/>\n\n</$button>\n\n</$set>\n\n</$set>\n\\end\n\n\\define toolbar-button-size(config-title)\n''{{$:/language/Buttons/Size/Hint}}''\n\n<<lingo Caption/Width>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/new-width\"\"\" default=<<tv-bitmap-editor-width>> focus=\"true\" size=\"8\"/> <<lingo Caption/Height>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/new-height\"\"\" default=<<tv-bitmap-editor-height>> size=\"8\"/> <$button popup=\"\"\"$config-title$/presets-popup\"\"\" class=\"tc-btn-invisible tc-popup-keep\" style=\"width: auto; display: inline-block; background-colour: inherit;\" selectedClass=\"tc-selected\">\n{{$:/core/images/down-arrow}}\n</$button>\n\n<$reveal tag=\"span\" state=\"\"\"$config-title$/presets-popup\"\"\" type=\"popup\" position=\"belowleft\" animate=\"yes\">\n\n<div class=\"tc-drop-down tc-popup-keep\">\n\n<$list filter={{$:/config/BitmapEditor/ImageSizes}} variable=\"sizePair\">\n\n<$macrocall $name=\"toolbar-button-size-preset\" config-title=\"$config-title$\"/>\n\n</$list>\n\n</div>\n\n</$reveal>\n\n<$button>\n<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"resize\"\n\twidth={{$config-title$/new-width}}\n\theight={{$config-title$/new-height}}\n/>\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/new-width\"\"\"\n/>\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/new-height\"\"\"\n/>\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n<<lingo Caption/Resize>>\n</$button>\n\\end\n\n<$macrocall $name=\"toolbar-button-size\" config-title=<<qualify \"$:/state/Size/\">>/>\n"
},
"$:/core/ui/EditorToolbar/size": {
"title": "$:/core/ui/EditorToolbar/size",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/size",
"caption": "{{$:/language/Buttons/Size/Caption}}",
"description": "{{$:/language/Buttons/Size/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/size-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/stamp-dropdown": {
"title": "$:/core/ui/EditorToolbar/stamp-dropdown",
"text": "\\define toolbar-button-stamp-inner()\n<$button tag=\"a\">\n\n<$list filter=\"[[$(snippetTitle)$]addsuffix[/prefix]is[missing]removesuffix[/prefix]addsuffix[/suffix]is[missing]]\">\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext={{$(snippetTitle)$}}\n/>\n\n</$list>\n\n\n<$list filter=\"[[$(snippetTitle)$]addsuffix[/prefix]is[missing]removesuffix[/prefix]addsuffix[/suffix]!is[missing]] [[$(snippetTitle)$]addsuffix[/prefix]!is[missing]removesuffix[/prefix]addsuffix[/suffix]is[missing]] [[$(snippetTitle)$]addsuffix[/prefix]!is[missing]removesuffix[/prefix]addsuffix[/suffix]!is[missing]]\">\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix={{{ [[$(snippetTitle)$]addsuffix[/prefix]get[text]] }}}\nsuffix={{{ [[$(snippetTitle)$]addsuffix[/suffix]get[text]] }}}\n/>\n\n</$list>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$transclude tiddler=<<snippetTitle>> field=\"caption\" mode=\"inline\">\n\n<$view tiddler=<<snippetTitle>> field=\"title\" />\n\n</$transclude>\n\n</$button>\n\\end\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TextEditor/Snippet]!has[draft.of]sort[caption]]\" variable=\"snippetTitle\">\n\n<<toolbar-button-stamp-inner>>\n\n</$list>\n\n----\n\n<$button tag=\"a\">\n\n<$action-sendmessage\n\t$message=\"tm-new-tiddler\"\n\ttags=\"$:/tags/TextEditor/Snippet\"\n\tcaption={{$:/language/Buttons/Stamp/New/Title}}\n\ttext={{$:/language/Buttons/Stamp/New/Text}}\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<em>\n\n<$text text={{$:/language/Buttons/Stamp/Caption/New}}/>\n\n</em>\n\n</$button>\n"
},
"$:/core/ui/EditorToolbar/stamp": {
"title": "$:/core/ui/EditorToolbar/stamp",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/stamp",
"caption": "{{$:/language/Buttons/Stamp/Caption}}",
"description": "{{$:/language/Buttons/Stamp/Hint}}",
"condition": "[<targetTiddler>type[]] [<targetTiddler>get[type]prefix[text/]] +[first[]]",
"shortcuts": "((stamp))",
"dropdown": "$:/core/ui/EditorToolbar/stamp-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/strikethrough": {
"title": "$:/core/ui/EditorToolbar/strikethrough",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/strikethrough",
"caption": "{{$:/language/Buttons/Strikethrough/Caption}}",
"description": "{{$:/language/Buttons/Strikethrough/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((strikethrough))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"~~\"\n\tsuffix=\"~~\"\n/>\n"
},
"$:/core/ui/EditorToolbar/subscript": {
"title": "$:/core/ui/EditorToolbar/subscript",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/subscript",
"caption": "{{$:/language/Buttons/Subscript/Caption}}",
"description": "{{$:/language/Buttons/Subscript/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((subscript))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\",,\"\n\tsuffix=\",,\"\n/>\n"
},
"$:/core/ui/EditorToolbar/superscript": {
"title": "$:/core/ui/EditorToolbar/superscript",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/superscript",
"caption": "{{$:/language/Buttons/Superscript/Caption}}",
"description": "{{$:/language/Buttons/Superscript/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((superscript))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"^^\"\n\tsuffix=\"^^\"\n/>\n"
},
"$:/core/ui/EditorToolbar/transcludify": {
"title": "$:/core/ui/EditorToolbar/transcludify",
"caption": "{{$:/language/Buttons/Transcludify/Caption}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"description": "{{$:/language/Buttons/Transcludify/Hint}}",
"icon": "$:/core/images/transcludify",
"list-before": "$:/core/ui/EditorToolbar/mono-block",
"shortcuts": "((transcludify))",
"tags": "$:/tags/EditorToolbar",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"{{\"\n\tsuffix=\"}}\"\n/>\n"
},
"$:/core/ui/EditorToolbar/underline": {
"title": "$:/core/ui/EditorToolbar/underline",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/underline",
"caption": "{{$:/language/Buttons/Underline/Caption}}",
"description": "{{$:/language/Buttons/Underline/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((underline))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"__\"\n\tsuffix=\"__\"\n/>\n"
},
"$:/core/Filters/AllTags": {
"title": "$:/core/Filters/AllTags",
"tags": "$:/tags/Filter",
"filter": "[tags[]!is[system]sort[title]]",
"description": "{{$:/language/Filters/AllTags}}",
"text": ""
},
"$:/core/Filters/AllTiddlers": {
"title": "$:/core/Filters/AllTiddlers",
"tags": "$:/tags/Filter",
"filter": "[!is[system]sort[title]]",
"description": "{{$:/language/Filters/AllTiddlers}}",
"text": ""
},
"$:/core/Filters/Drafts": {
"title": "$:/core/Filters/Drafts",
"tags": "$:/tags/Filter",
"filter": "[has[draft.of]sort[title]]",
"description": "{{$:/language/Filters/Drafts}}",
"text": ""
},
"$:/core/Filters/Missing": {
"title": "$:/core/Filters/Missing",
"tags": "$:/tags/Filter",
"filter": "[all[missing]sort[title]]",
"description": "{{$:/language/Filters/Missing}}",
"text": ""
},
"$:/core/Filters/Orphans": {
"title": "$:/core/Filters/Orphans",
"tags": "$:/tags/Filter",
"filter": "[all[orphans]sort[title]]",
"description": "{{$:/language/Filters/Orphans}}",
"text": ""
},
"$:/core/Filters/OverriddenShadowTiddlers": {
"title": "$:/core/Filters/OverriddenShadowTiddlers",
"tags": "$:/tags/Filter",
"filter": "[is[shadow]]",
"description": "{{$:/language/Filters/OverriddenShadowTiddlers}}",
"text": ""
},
"$:/core/Filters/RecentSystemTiddlers": {
"title": "$:/core/Filters/RecentSystemTiddlers",
"tags": "$:/tags/Filter",
"filter": "[has[modified]!sort[modified]limit[50]]",
"description": "{{$:/language/Filters/RecentSystemTiddlers}}",
"text": ""
},
"$:/core/Filters/RecentTiddlers": {
"title": "$:/core/Filters/RecentTiddlers",
"tags": "$:/tags/Filter",
"filter": "[!is[system]has[modified]!sort[modified]limit[50]]",
"description": "{{$:/language/Filters/RecentTiddlers}}",
"text": ""
},
"$:/core/Filters/SessionTiddlers": {
"title": "$:/core/Filters/SessionTiddlers",
"tags": "$:/tags/Filter",
"filter": "[haschanged[]]",
"description": "{{$:/language/Filters/SessionTiddlers}}",
"text": ""
},
"$:/core/Filters/ShadowTiddlers": {
"title": "$:/core/Filters/ShadowTiddlers",
"tags": "$:/tags/Filter",
"filter": "[all[shadows]sort[title]]",
"description": "{{$:/language/Filters/ShadowTiddlers}}",
"text": ""
},
"$:/core/Filters/StoryList": {
"title": "$:/core/Filters/StoryList",
"tags": "$:/tags/Filter",
"filter": "[list[$:/StoryList]] -$:/AdvancedSearch",
"description": "{{$:/language/Filters/StoryList}}",
"text": ""
},
"$:/core/Filters/SystemTags": {
"title": "$:/core/Filters/SystemTags",
"tags": "$:/tags/Filter",
"filter": "[all[shadows+tiddlers]tags[]is[system]sort[title]]",
"description": "{{$:/language/Filters/SystemTags}}",
"text": ""
},
"$:/core/Filters/SystemTiddlers": {
"title": "$:/core/Filters/SystemTiddlers",
"tags": "$:/tags/Filter",
"filter": "[is[system]sort[title]]",
"description": "{{$:/language/Filters/SystemTiddlers}}",
"text": ""
},
"$:/core/Filters/TypedTiddlers": {
"title": "$:/core/Filters/TypedTiddlers",
"tags": "$:/tags/Filter",
"filter": "[!is[system]has[type]each[type]sort[type]] -[type[text/vnd.tiddlywiki]]",
"description": "{{$:/language/Filters/TypedTiddlers}}",
"text": ""
},
"$:/core/ui/ImportListing": {
"title": "$:/core/ui/ImportListing",
"text": "\\define lingo-base() $:/language/Import/\n\n\\define messageField()\nmessage-$(payloadTiddler)$\n\\end\n\n\\define selectionField()\nselection-$(payloadTiddler)$\n\\end\n\n\\define previewPopupState()\n$(currentTiddler)$!!popup-$(payloadTiddler)$\n\\end\n\n\\define select-all-actions()\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" variable=\"payloadTiddler\">\n<$action-setfield $field={{{ [<payloadTiddler>addprefix[selection-]] }}} $value={{$:/state/import/select-all}}/>\n</$list>\n\\end\n\n<table>\n<tbody>\n<tr>\n<th>\n<$checkbox tiddler=\"$:/state/import/select-all\" field=\"text\" checked=\"checked\" unchecked=\"unchecked\" default=\"checked\" actions=<<select-all-actions>>>\n<<lingo Listing/Select/Caption>>\n</$checkbox>\n</th>\n<th>\n<<lingo Listing/Title/Caption>>\n</th>\n<th>\n<<lingo Listing/Status/Caption>>\n</th>\n</tr>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" variable=\"payloadTiddler\">\n<tr>\n<td>\n<$checkbox field=<<selectionField>> checked=\"checked\" unchecked=\"unchecked\" default=\"checked\"/>\n</td>\n<td>\n<$reveal type=\"nomatch\" stateTitle=<<previewPopupState>> text=\"yes\" tag=\"div\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" setTitle=<<previewPopupState>> setTo=\"yes\">\n{{$:/core/images/right-arrow}} <$text text=<<payloadTiddler>>/>\n</$button>\n</$reveal>\n<$reveal type=\"match\" stateTitle=<<previewPopupState>> text=\"yes\" tag=\"div\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" setTitle=<<previewPopupState>> setTo=\"no\">\n{{$:/core/images/down-arrow}} <$text text=<<payloadTiddler>>/>\n</$button>\n</$reveal>\n</td>\n<td>\n<$view field=<<messageField>>/>\n</td>\n</tr>\n<tr>\n<td colspan=\"3\">\n<$reveal type=\"match\" text=\"yes\" stateTitle=<<previewPopupState>> tag=\"div\">\n<$list filter=\"[{$:/state/importpreviewtype}has[text]]\" variable=\"listItem\" emptyMessage={{$:/core/ui/ImportPreviews/Text}}>\n<$transclude tiddler={{$:/state/importpreviewtype}}/>\n</$list>\n</$reveal>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ImportPreviews/Diff": {
"title": "$:/core/ui/ImportPreviews/Diff",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/Diff}}",
"text": "<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle=<<payloadTiddler>> destTiddlerTitle=<<currentTiddler>> destSubTiddlerTitle=<<payloadTiddler>>/>\n"
},
"$:/core/ui/ImportPreviews/DiffFields": {
"title": "$:/core/ui/ImportPreviews/DiffFields",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/DiffFields}}",
"text": "<$macrocall $name=\"compareTiddlers\" sourceTiddlerTitle=<<payloadTiddler>> destTiddlerTitle=<<currentTiddler>> destSubTiddlerTitle=<<payloadTiddler>> exclude=\"text\"/>\n"
},
"$:/core/ui/ImportPreviews/Fields": {
"title": "$:/core/ui/ImportPreviews/Fields",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/Fields}}",
"text": "<table class=\"tc-view-field-table\">\n<tbody>\n<$list filter=\"[<payloadTiddler>subtiddlerfields<currentTiddler>sort[]] -text\" variable=\"fieldName\">\n<tr class=\"tc-view-field\">\n<td class=\"tc-view-field-name\">\n<$text text=<<fieldName>>/>\n</td>\n<td class=\"tc-view-field-value\">\n<$view field=<<fieldName>> tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>>/>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ImportPreviews/Text": {
"title": "$:/core/ui/ImportPreviews/Text",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/Text}}",
"text": "<$transclude tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>> mode=\"block\"/>\n"
},
"$:/core/ui/ImportPreviews/TextRaw": {
"title": "$:/core/ui/ImportPreviews/TextRaw",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/TextRaw}}",
"text": "<pre><code><$view tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>> /></code></pre>"
},
"$:/core/ui/KeyboardShortcuts/advanced-search": {
"title": "$:/core/ui/KeyboardShortcuts/advanced-search",
"tags": "$:/tags/KeyboardShortcut",
"key": "((advanced-search))",
"text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\">\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\"[data-tiddler-title=\"$:/AdvancedSearch\"] .tc-search input\"\"\"/>\n</$navigator>\n"
},
"$:/core/ui/KeyboardShortcuts/new-image": {
"title": "$:/core/ui/KeyboardShortcuts/new-image",
"tags": "$:/tags/KeyboardShortcut",
"key": "((new-image))",
"text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-image}}\n</$navigator>\n"
},
"$:/core/ui/KeyboardShortcuts/new-journal": {
"title": "$:/core/ui/KeyboardShortcuts/new-journal",
"tags": "$:/tags/KeyboardShortcut",
"key": "((new-journal))",
"text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-journal}}\n</$navigator>\n"
},
"$:/core/ui/KeyboardShortcuts/new-tiddler": {
"title": "$:/core/ui/KeyboardShortcuts/new-tiddler",
"tags": "$:/tags/KeyboardShortcut",
"key": "((new-tiddler))",
"text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-tiddler}}\n</$navigator>\n"
},
"$:/core/ui/KeyboardShortcuts/sidebar-search": {
"title": "$:/core/ui/KeyboardShortcuts/sidebar-search",
"tags": "$:/tags/KeyboardShortcut",
"key": "((sidebar-search))",
"text": "<$action-sendmessage $message=\"tm-focus-selector\" $param=\".tc-search input\"/>\n"
},
"$:/core/ui/KeyboardShortcut/toggle-sidebar": {
"title": "$:/core/ui/KeyboardShortcut/toggle-sidebar",
"tags": "$:/tags/KeyboardShortcut",
"key": "((toggle-sidebar))",
"text": "<$list filter=\"[[$:/state/sidebar]is[missing]] [{$:/state/sidebar}removeprefix[yes]]\" emptyMessage=\"\"\"\n<$action-setfield $tiddler=\"$:/state/sidebar\" text=\"yes\"/>\n\"\"\">\n<$action-setfield $tiddler=\"$:/state/sidebar\" text=\"no\"/>\n</$list>\n"
},
"$:/core/ui/ListItemTemplate": {
"title": "$:/core/ui/ListItemTemplate",
"text": "<div class=\"tc-menu-list-item\">\n<$link />\n</div>"
},
"$:/Manager/ItemMain/Fields": {
"title": "$:/Manager/ItemMain/Fields",
"tags": "$:/tags/Manager/ItemMain",
"caption": "{{$:/language/Manager/Item/Fields}}",
"text": "<table>\n<tbody>\n<$list filter=\"[all[current]fields[]sort[title]] -text\" template=\"$:/core/ui/TiddlerFieldTemplate\" variable=\"listItem\"/>\n</tbody>\n</table>\n"
},
"$:/Manager/ItemMain/RawText": {
"title": "$:/Manager/ItemMain/RawText",
"tags": "$:/tags/Manager/ItemMain",
"caption": "{{$:/language/Manager/Item/RawText}}",
"text": "<pre><code><$view/></code></pre>\n"
},
"$:/Manager/ItemMain/WikifiedText": {
"title": "$:/Manager/ItemMain/WikifiedText",
"tags": "$:/tags/Manager/ItemMain",
"caption": "{{$:/language/Manager/Item/WikifiedText}}",
"text": "<$transclude mode=\"block\"/>\n"
},
"$:/Manager/ItemSidebar/Colour": {
"title": "$:/Manager/ItemSidebar/Colour",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Colour}}",
"text": "\\define swatch-styles()\nheight: 1em;\nbackground-color: $(colour)$\n\\end\n\n<$vars colour={{!!color}}>\n<p style=<<swatch-styles>>/>\n</$vars>\n<p>\n<$edit-text field=\"color\" tag=\"input\" type=\"color\"/> / <$edit-text field=\"color\" tag=\"input\" type=\"text\" size=\"9\"/>\n</p>\n"
},
"$:/Manager/ItemSidebar/Icon": {
"title": "$:/Manager/ItemSidebar/Icon",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Icon}}",
"text": "<p>\n<div class=\"tc-manager-icon-editor\">\n<$button popup=<<qualify \"$:/state/popup/image-picker\">> class=\"tc-btn-invisible\">\n<$transclude tiddler={{!!icon}}>\n{{$:/language/Manager/Item/Icon/None}}\n</$transclude>\n</$button>\n<div class=\"tc-block-dropdown-wrapper\" style=\"position: static;\">\n<$reveal state=<<qualify \"$:/state/popup/image-picker\">> type=\"nomatch\" text=\"\" default=\"\" tag=\"div\" class=\"tc-popup\">\n<div class=\"tc-block-dropdown tc-popup-keep\" style=\"width: 80%; left: 10%; right: 10%; padding: 0.5em;\">\n<$macrocall $name=\"image-picker-include-tagged-images\" actions=\"\"\"\n<$action-setfield $field=\"icon\" $value=<<imageTitle>>/>\n<$action-deletetiddler $tiddler=<<qualify \"$:/state/popup/image-picker\">>/>\n\"\"\"/>\n</div>\n</$reveal>\n</div>\n</div>\n</p>\n"
},
"$:/Manager/ItemSidebar/Tags": {
"title": "$:/Manager/ItemSidebar/Tags",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Tags}}",
"text": "\\define tag-checkbox-actions()\n<$action-listops\n\t$tiddler=\"$:/config/Manager/RecentTags\"\n\t$subfilter=\"[<tag>] [list[$:/config/Manager/RecentTags]] +[limit[12]]\"\n/>\n\\end\n\n\\define tag-picker-actions()\n<<tag-checkbox-actions>>\n<$action-listops\n\t$tiddler=<<currentTiddler>>\n\t$field=\"tags\"\n\t$subfilter=\"[<tag>] [all[current]tags[]]\"\n/>\n\\end\n\n<p>\n<$list filter=\"[all[current]tags[]] [list[$:/config/Manager/RecentTags]] +[sort[title]] \" variable=\"tag\">\n<div>\n<$checkbox tiddler=<<currentTiddler>> tag=<<tag>> actions=<<tag-checkbox-actions>>>\n<$macrocall $name=\"tag-pill\" tag=<<tag>>/>\n</$checkbox>\n</div>\n</$list>\n</p>\n<p>\n<$macrocall $name=\"tag-picker\" actions=<<tag-picker-actions>>/>\n</p>\n"
},
"$:/Manager/ItemSidebar/Tools": {
"title": "$:/Manager/ItemSidebar/Tools",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Tools}}",
"text": "<p>\n<$button to=<<currentTiddler>>>{{$:/core/images/link}} open</$button>\n</p>\n<p>\n<$button message=\"tm-edit-tiddler\" param=<<currentTiddler>>>{{$:/core/images/edit-button}} edit</$button>\n</p>\n"
},
"$:/Manager": {
"title": "$:/Manager",
"icon": "$:/core/images/list",
"color": "#bbb",
"text": "\\define lingo-base() $:/language/Manager/\n\n\\define list-item-content-item()\n<div class=\"tc-manager-list-item-content-item\">\n\t<$vars state-title=\"\"\"$:/state/popup/manager/item/$(listItem)$\"\"\">\n\t\t<$reveal state=<<state-title>> type=\"match\" text=\"show\" default=\"show\" tag=\"div\">\n\t\t\t<$button set=<<state-title>> setTo=\"hide\" class=\"tc-btn-invisible tc-manager-list-item-content-item-heading\">\n\t\t\t\t{{$:/core/images/down-arrow}} <$transclude tiddler=<<listItem>> field=\"caption\"/>\n\t\t\t</$button>\n\t\t</$reveal>\n\t\t<$reveal state=<<state-title>> type=\"nomatch\" text=\"show\" default=\"show\" tag=\"div\">\n\t\t\t<$button set=<<state-title>> setTo=\"show\" class=\"tc-btn-invisible tc-manager-list-item-content-item-heading\">\n\t\t\t\t{{$:/core/images/right-arrow}} <$transclude tiddler=<<listItem>> field=\"caption\"/>\n\t\t\t</$button>\n\t\t</$reveal>\n\t\t<$reveal state=<<state-title>> type=\"match\" text=\"show\" default=\"show\" tag=\"div\" class=\"tc-manager-list-item-content-item-body\">\n\t\t\t<$transclude tiddler=<<listItem>>/>\n\t\t</$reveal>\n\t</$vars>\n</div>\n\\end\n\n<div class=\"tc-manager-wrapper\">\n\t<div class=\"tc-manager-controls\">\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Show/Prompt>> <$select tiddler=\"$:/config/Manager/Show\" default=\"tiddlers\">\n\t\t\t\t<option value=\"tiddlers\"><<lingo Controls/Show/Option/Tiddlers>></option>\n\t\t\t\t<option value=\"tags\"><<lingo Controls/Show/Option/Tags>></option>\n\t\t\t</$select>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Search/Prompt>> <$edit-text tiddler=\"$:/config/Manager/Filter\" tag=\"input\" default=\"\" placeholder={{$:/language/Manager/Controls/Search/Placeholder}}/>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/FilterByTag/Prompt>> <$select tiddler=\"$:/config/Manager/Tag\" default=\"\">\n\t\t\t\t<option value=\"\"><<lingo Controls/FilterByTag/None>></option>\n\t\t\t\t<$list filter=\"[!is{$:/config/Manager/System}tags[]!is[system]sort[title]]\" variable=\"tag\">\n\t\t\t\t\t<option value=<<tag>>><$text text=<<tag>>/></option>\n\t\t\t\t</$list>\n\t\t\t</$select>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Sort/Prompt>> <$select tiddler=\"$:/config/Manager/Sort\" default=\"title\">\n\t\t\t\t<optgroup label=\"Common\">\n\t\t\t\t\t<$list filter=\"title modified modifier created creator created\" variable=\"field\">\n\t\t\t\t\t\t<option value=<<field>>><$text text=<<field>>/></option>\n\t\t\t\t\t</$list>\n\t\t\t\t</optgroup>\n\t\t\t\t<optgroup label=\"All\">\n\t\t\t\t\t<$list filter=\"[all{$:/config/Manager/Show}!is{$:/config/Manager/System}fields[]sort[title]] -title -modified -modifier -created -creator -created\" variable=\"field\">\n\t\t\t\t\t\t<option value=<<field>>><$text text=<<field>>/></option>\n\t\t\t\t\t</$list>\n\t\t\t\t</optgroup>\n\t\t\t</$select>\n\t\t\t<$checkbox tiddler=\"$:/config/Manager/Order\" field=\"text\" checked=\"reverse\" unchecked=\"forward\" default=\"forward\">\n\t\t\t\t<<lingo Controls/Order/Prompt>>\n\t\t\t</$checkbox>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<$checkbox tiddler=\"$:/config/Manager/System\" field=\"text\" checked=\"\" unchecked=\"system\" default=\"system\">\n\t\t\t\t{{$:/language/SystemTiddlers/Include/Prompt}}\n\t\t\t</$checkbox>\n\t\t</div>\n\t</div>\n\t<div class=\"tc-manager-list\">\n\t\t<$list filter=\"[all{$:/config/Manager/Show}!is{$:/config/Manager/System}search{$:/config/Manager/Filter}tag:strict{$:/config/Manager/Tag}sort{$:/config/Manager/Sort}order{$:/config/Manager/Order}]\">\n\t\t\t<$vars transclusion=<<currentTiddler>>>\n\t\t\t\t<div style=\"tc-manager-list-item\">\n\t\t\t\t\t<$button popup=<<qualify \"$:/state/manager/popup\">> class=\"tc-btn-invisible tc-manager-list-item-heading\" selectedClass=\"tc-manager-list-item-heading-selected\">\n\t\t\t\t\t\t<$text text=<<currentTiddler>>/>\n\t\t\t\t\t</$button>\n\t\t\t\t\t<$reveal state=<<qualify \"$:/state/manager/popup\">> type=\"nomatch\" text=\"\" default=\"\" tag=\"div\" class=\"tc-manager-list-item-content tc-popup-handle\">\n\t\t\t\t\t\t<div class=\"tc-manager-list-item-content-tiddler\">\n\t\t\t\t\t\t\t<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Manager/ItemMain]!has[draft.of]]\" variable=\"listItem\">\n\t\t\t\t\t\t\t\t<<list-item-content-item>>\n\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t<div class=\"tc-manager-list-item-content-sidebar\">\n\t\t\t\t\t\t\t<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Manager/ItemSidebar]!has[draft.of]]\" variable=\"listItem\">\n\t\t\t\t\t\t\t\t<<list-item-content-item>>\n\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t</$reveal>\n\t\t\t\t</div>\n\t\t\t</$vars>\n\t\t</$list>\n\t</div>\n</div>\n"
},
"$:/core/ui/MissingTemplate": {
"title": "$:/core/ui/MissingTemplate",
"text": "<div class=\"tc-tiddler-missing\">\n<$button popup=<<qualify \"$:/state/popup/missing\">> class=\"tc-btn-invisible tc-missing-tiddler-label\">\n<$view field=\"title\" format=\"text\" />\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/missing\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n<hr>\n<$list filter=\"[all[current]backlinks[]sort[title]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n</div>\n"
},
"$:/core/ui/MoreSideBar/All": {
"title": "$:/core/ui/MoreSideBar/All",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/All/Caption}}",
"text": "<$list filter={{$:/core/Filters/AllTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Drafts": {
"title": "$:/core/ui/MoreSideBar/Drafts",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Drafts/Caption}}",
"text": "<$list filter={{$:/core/Filters/Drafts!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Explorer": {
"title": "$:/core/ui/MoreSideBar/Explorer",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Explorer/Caption}}",
"text": "<<tree \"$:/\">>\n"
},
"$:/core/ui/MoreSideBar/Missing": {
"title": "$:/core/ui/MoreSideBar/Missing",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Missing/Caption}}",
"text": "<$list filter={{$:/core/Filters/Missing!!filter}} template=\"$:/core/ui/MissingTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Orphans": {
"title": "$:/core/ui/MoreSideBar/Orphans",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Orphans/Caption}}",
"text": "<$list filter={{$:/core/Filters/Orphans!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Plugins": {
"title": "$:/core/ui/MoreSideBar/Plugins",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/ControlPanel/Plugins/Caption}}",
"text": "\n{{$:/language/ControlPanel/Plugins/Installed/Hint}}\n\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar/Plugins]!has[draft.of]]\" \"$:/core/ui/MoreSideBar/Plugins/Plugins\">>\n"
},
"$:/core/ui/MoreSideBar/Recent": {
"title": "$:/core/ui/MoreSideBar/Recent",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Recent/Caption}}",
"text": "<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n"
},
"$:/core/ui/MoreSideBar/Shadows": {
"title": "$:/core/ui/MoreSideBar/Shadows",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Shadows/Caption}}",
"text": "<$list filter={{$:/core/Filters/ShadowTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/System": {
"title": "$:/core/ui/MoreSideBar/System",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/System/Caption}}",
"text": "<$list filter={{$:/core/Filters/SystemTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Tags": {
"title": "$:/core/ui/MoreSideBar/Tags",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Tags/Caption}}",
"text": "<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n{{$:/core/ui/Buttons/tag-manager}}\n\n</$set>\n\n</$set>\n\n</$set>\n\n<$list filter={{$:/core/Filters/AllTags!!filter}}>\n\n<$transclude tiddler=\"$:/core/ui/TagTemplate\"/>\n\n</$list>\n\n<hr class=\"tc-untagged-separator\">\n\n{{$:/core/ui/UntaggedTemplate}}\n"
},
"$:/core/ui/MoreSideBar/Types": {
"title": "$:/core/ui/MoreSideBar/Types",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Types/Caption}}",
"text": "<$list filter={{$:/core/Filters/TypedTiddlers!!filter}}>\n<div class=\"tc-menu-list-item\">\n<$view field=\"type\"/>\n<$list filter=\"[type{!!type}!is[system]sort[title]]\">\n<div class=\"tc-menu-list-subitem\">\n<$link to={{!!title}}><$view field=\"title\"/></$link>\n</div>\n</$list>\n</div>\n</$list>\n"
},
"$:/core/ui/MoreSideBar/Plugins/Languages": {
"title": "$:/core/ui/MoreSideBar/Plugins/Languages",
"tags": "$:/tags/MoreSideBar/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}}",
"text": "<$list filter=\"[!has[draft.of]plugin-type[language]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}/>\n"
},
"$:/core/ui/MoreSideBar/Plugins/Plugins": {
"title": "$:/core/ui/MoreSideBar/Plugins/Plugins",
"tags": "$:/tags/MoreSideBar/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}}",
"text": "<$list filter=\"[!has[draft.of]plugin-type[plugin]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}>>/>\n"
},
"$:/core/ui/MoreSideBar/Plugins/Theme": {
"title": "$:/core/ui/MoreSideBar/Plugins/Theme",
"tags": "$:/tags/MoreSideBar/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}}",
"text": "<$list filter=\"[!has[draft.of]plugin-type[theme]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}/>\n"
},
"$:/core/ui/Buttons/advanced-search": {
"title": "$:/core/ui/Buttons/advanced-search",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/advanced-search-button}} {{$:/language/Buttons/AdvancedSearch/Caption}}",
"description": "{{$:/language/Buttons/AdvancedSearch/Hint}}",
"text": "\\whitespace trim\n\\define control-panel-button(class)\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/advanced-search-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/AdvancedSearch/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/AdvancedSearch]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/close-all": {
"title": "$:/core/ui/Buttons/close-all",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/close-all-button}} {{$:/language/Buttons/CloseAll/Caption}}",
"description": "{{$:/language/Buttons/CloseAll/Hint}}",
"text": "<$button message=\"tm-close-all-tiddlers\" tooltip={{$:/language/Buttons/CloseAll/Hint}} aria-label={{$:/language/Buttons/CloseAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/CloseAll/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/control-panel": {
"title": "$:/core/ui/Buttons/control-panel",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/options-button}} {{$:/language/Buttons/ControlPanel/Caption}}",
"description": "{{$:/language/Buttons/ControlPanel/Hint}}",
"text": "\\whitespace trim\n\\define control-panel-button(class)\n<$button to=\"$:/ControlPanel\" tooltip={{$:/language/Buttons/ControlPanel/Hint}} aria-label={{$:/language/Buttons/ControlPanel/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/options-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/ControlPanel/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/ControlPanel]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/encryption": {
"title": "$:/core/ui/Buttons/encryption",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/locked-padlock}} {{$:/language/Buttons/Encryption/Caption}}",
"description": "{{$:/language/Buttons/Encryption/Hint}}",
"text": "\\whitespace trim\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\n<$button message=\"tm-clear-password\" tooltip={{$:/language/Buttons/Encryption/ClearPassword/Hint}} aria-label={{$:/language/Buttons/Encryption/ClearPassword/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/locked-padlock}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Encryption/ClearPassword/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n<$button message=\"tm-set-password\" tooltip={{$:/language/Buttons/Encryption/SetPassword/Hint}} aria-label={{$:/language/Buttons/Encryption/SetPassword/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/unlocked-padlock}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Encryption/SetPassword/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n"
},
"$:/core/ui/Buttons/export-page": {
"title": "$:/core/ui/Buttons/export-page",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/export-button}} {{$:/language/Buttons/ExportPage/Caption}}",
"description": "{{$:/language/Buttons/ExportPage/Hint}}",
"text": "<$macrocall $name=\"exportButton\" exportFilter=\"[!is[system]sort[title]]\" lingoBase=\"$:/language/Buttons/ExportPage/\"/>"
},
"$:/core/ui/Buttons/fold-all": {
"title": "$:/core/ui/Buttons/fold-all",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/fold-all-button}} {{$:/language/Buttons/FoldAll/Caption}}",
"description": "{{$:/language/Buttons/FoldAll/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/FoldAll/Hint}} aria-label={{$:/language/Buttons/FoldAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-all-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/FoldAll/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/full-screen": {
"title": "$:/core/ui/Buttons/full-screen",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/full-screen-button}} {{$:/language/Buttons/FullScreen/Caption}}",
"description": "{{$:/language/Buttons/FullScreen/Hint}}",
"text": "<$button message=\"tm-full-screen\" tooltip={{$:/language/Buttons/FullScreen/Hint}} aria-label={{$:/language/Buttons/FullScreen/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/full-screen-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/FullScreen/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/home": {
"title": "$:/core/ui/Buttons/home",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/home-button}} {{$:/language/Buttons/Home/Caption}}",
"description": "{{$:/language/Buttons/Home/Hint}}",
"text": "<$button message=\"tm-home\" tooltip={{$:/language/Buttons/Home/Hint}} aria-label={{$:/language/Buttons/Home/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/home-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Home/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/import": {
"title": "$:/core/ui/Buttons/import",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/import-button}} {{$:/language/Buttons/Import/Caption}}",
"description": "{{$:/language/Buttons/Import/Hint}}",
"text": "<div class=\"tc-file-input-wrapper\">\n<$button tooltip={{$:/language/Buttons/Import/Hint}} aria-label={{$:/language/Buttons/Import/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/import-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Import/Caption}}/></span>\n</$list>\n</$button>\n<$browse tooltip={{$:/language/Buttons/Import/Hint}}/>\n</div>"
},
"$:/core/ui/Buttons/language": {
"title": "$:/core/ui/Buttons/language",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/globe}} {{$:/language/Buttons/Language/Caption}}",
"description": "{{$:/language/Buttons/Language/Hint}}",
"text": "\\whitespace trim\n\\define flag-title()\n$(languagePluginTitle)$/icon\n\\end\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/language\">> tooltip={{$:/language/Buttons/Language/Hint}} aria-label={{$:/language/Buttons/Language/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n<span class=\"tc-image-button\">\n<$set name=\"languagePluginTitle\" value={{$:/language}}>\n<$image source=<<flag-title>>/>\n</$set>\n</span>\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Language/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/language\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n{{$:/snippets/languageswitcher}}\n</div>\n</$reveal>\n"
},
"$:/core/ui/Buttons/manager": {
"title": "$:/core/ui/Buttons/manager",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/list}} {{$:/language/Buttons/Manager/Caption}}",
"description": "{{$:/language/Buttons/Manager/Hint}}",
"text": "\\whitespace trim\n\\define manager-button(class)\n<$button to=\"$:/Manager\" tooltip={{$:/language/Buttons/Manager/Hint}} aria-label={{$:/language/Buttons/Manager/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/list}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Manager/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/Manager]]\" emptyMessage=<<manager-button>>>\n<<manager-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/more-page-actions": {
"title": "$:/core/ui/Buttons/more-page-actions",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}",
"description": "{{$:/language/Buttons/More/Hint}}",
"text": "\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/More/Caption}}/></span>\n</$list>\n</$button><$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"below\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]] -[[$:/core/ui/Buttons/more-page-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$set>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>"
},
"$:/core/ui/Buttons/new-image": {
"title": "$:/core/ui/Buttons/new-image",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/new-image-button}} {{$:/language/Buttons/NewImage/Caption}}",
"description": "{{$:/language/Buttons/NewImage/Hint}}",
"text": "\\whitespace trim\n<$button tooltip={{$:/language/Buttons/NewImage/Hint}} aria-label={{$:/language/Buttons/NewImage/Caption}} class=<<tv-config-toolbar-class>> actions={{$:/core/ui/Actions/new-image}}>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-image-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewImage/Caption}}/></span>\n</$list>\n</$button>\n"
},
"$:/core/ui/Buttons/new-journal": {
"title": "$:/core/ui/Buttons/new-journal",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournal/Caption}}",
"description": "{{$:/language/Buttons/NewJournal/Hint}}",
"text": "\\whitespace trim\n\\define journalButton()\n<$button tooltip={{$:/language/Buttons/NewJournal/Hint}} aria-label={{$:/language/Buttons/NewJournal/Caption}} class=<<tv-config-toolbar-class>> actions={{$:/core/ui/Actions/new-journal}}>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-journal-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewJournal/Caption}}/></span>\n</$list>\n</$button>\n\\end\n<<journalButton>>\n"
},
"$:/core/ui/Buttons/new-tiddler": {
"title": "$:/core/ui/Buttons/new-tiddler",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/new-button}} {{$:/language/Buttons/NewTiddler/Caption}}",
"description": "{{$:/language/Buttons/NewTiddler/Hint}}",
"text": "\\whitespace trim\n<$button actions={{$:/core/ui/Actions/new-tiddler}} tooltip={{$:/language/Buttons/NewTiddler/Hint}} aria-label={{$:/language/Buttons/NewTiddler/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewTiddler/Caption}}/></span>\n</$list>\n</$button>\n"
},
"$:/core/ui/Buttons/palette": {
"title": "$:/core/ui/Buttons/palette",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/palette}} {{$:/language/Buttons/Palette/Caption}}",
"description": "{{$:/language/Buttons/Palette/Hint}}",
"text": "\\whitespace trim\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/palette\">> tooltip={{$:/language/Buttons/Palette/Hint}} aria-label={{$:/language/Buttons/Palette/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/palette}}\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Palette/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/palette\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\" style=\"font-size:0.7em;\">\n{{$:/snippets/paletteswitcher}}\n</div>\n</$reveal>\n"
},
"$:/core/ui/Buttons/print": {
"title": "$:/core/ui/Buttons/print",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/print-button}} {{$:/language/Buttons/Print/Caption}}",
"description": "{{$:/language/Buttons/Print/Hint}}",
"text": "<$button message=\"tm-print\" tooltip={{$:/language/Buttons/Print/Hint}} aria-label={{$:/language/Buttons/Print/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/print-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Print/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/refresh": {
"title": "$:/core/ui/Buttons/refresh",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/refresh-button}} {{$:/language/Buttons/Refresh/Caption}}",
"description": "{{$:/language/Buttons/Refresh/Hint}}",
"text": "<$button message=\"tm-browser-refresh\" tooltip={{$:/language/Buttons/Refresh/Hint}} aria-label={{$:/language/Buttons/Refresh/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/refresh-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Refresh/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/save-wiki": {
"title": "$:/core/ui/Buttons/save-wiki",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/save-button}} {{$:/language/Buttons/SaveWiki/Caption}}",
"description": "{{$:/language/Buttons/SaveWiki/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/SaveWiki/Hint}} aria-label={{$:/language/Buttons/SaveWiki/Caption}} class=<<tv-config-toolbar-class>>>\n<$wikify name=\"site-title\" text={{$:/config/SaveWikiButton/Filename}}>\n<$action-sendmessage $message=\"tm-save-wiki\" $param={{$:/config/SaveWikiButton/Template}} filename=<<site-title>>/>\n</$wikify>\n<span class=\"tc-dirty-indicator\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/save-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/SaveWiki/Caption}}/></span>\n</$list>\n</span>\n</$button>"
},
"$:/core/ui/Buttons/storyview": {
"title": "$:/core/ui/Buttons/storyview",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/storyview-classic}} {{$:/language/Buttons/StoryView/Caption}}",
"description": "{{$:/language/Buttons/StoryView/Hint}}",
"text": "\\whitespace trim\n\\define icon()\n$:/core/images/storyview-$(storyview)$\n\\end\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/storyview\">> tooltip={{$:/language/Buttons/StoryView/Hint}} aria-label={{$:/language/Buttons/StoryView/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n<$set name=\"storyview\" value={{$:/view}}>\n<$transclude tiddler=<<icon>>/>\n</$set>\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/StoryView/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/storyview\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n{{$:/snippets/viewswitcher}}\n</div>\n</$reveal>\n"
},
"$:/core/ui/Buttons/tag-manager": {
"title": "$:/core/ui/Buttons/tag-manager",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/tag-button}} {{$:/language/Buttons/TagManager/Caption}}",
"description": "{{$:/language/Buttons/TagManager/Hint}}",
"text": "\\whitespace trim\n\\define control-panel-button(class)\n<$button to=\"$:/TagManager\" tooltip={{$:/language/Buttons/TagManager/Hint}} aria-label={{$:/language/Buttons/TagManager/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/tag-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/TagManager/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/TagManager]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/theme": {
"title": "$:/core/ui/Buttons/theme",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/theme-button}} {{$:/language/Buttons/Theme/Caption}}",
"description": "{{$:/language/Buttons/Theme/Hint}}",
"text": "\\whitespace trim\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/theme\">> tooltip={{$:/language/Buttons/Theme/Hint}} aria-label={{$:/language/Buttons/Theme/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/theme-button}}\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Theme/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/theme\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$linkcatcher to=\"$:/theme\">\n{{$:/snippets/themeswitcher}}\n</$linkcatcher>\n</div>\n</$reveal>\n"
},
"$:/core/ui/Buttons/timestamp": {
"title": "$:/core/ui/Buttons/timestamp",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/timestamp-on}} {{$:/language/Buttons/Timestamp/Caption}}",
"description": "{{$:/language/Buttons/Timestamp/Hint}}",
"text": "\\whitespace trim\n<$reveal type=\"nomatch\" state=\"$:/config/TimestampDisable\" text=\"yes\">\n<$button tooltip={{$:/language/Buttons/Timestamp/On/Hint}} aria-label={{$:/language/Buttons/Timestamp/On/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-setfield $tiddler=\"$:/config/TimestampDisable\" $value=\"yes\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/timestamp-on}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Timestamp/On/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=\"$:/config/TimestampDisable\" text=\"yes\">\n<$button tooltip={{$:/language/Buttons/Timestamp/Off/Hint}} aria-label={{$:/language/Buttons/Timestamp/Off/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-setfield $tiddler=\"$:/config/TimestampDisable\" $value=\"no\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/timestamp-off}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Timestamp/Off/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n"
},
"$:/core/ui/Buttons/unfold-all": {
"title": "$:/core/ui/Buttons/unfold-all",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/unfold-all-button}} {{$:/language/Buttons/UnfoldAll/Caption}}",
"description": "{{$:/language/Buttons/UnfoldAll/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/UnfoldAll/Hint}} aria-label={{$:/language/Buttons/UnfoldAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-unfold-all-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/unfold-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/UnfoldAll/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/PageTemplate/pagecontrols": {
"title": "$:/core/ui/PageTemplate/pagecontrols",
"text": "\\whitespace trim\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-page-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n<$set name=\"hidden\" value=<<config-title>>>\n<$list filter=\"[<hidden>!text[hide]]\" storyview=\"pop\" variable=\"ignore\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n</$set>\n</$list>\n</$set>\n</$list>\n</div>\n"
},
"$:/core/ui/PageStylesheet": {
"title": "$:/core/ui/PageStylesheet",
"text": "\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<$set name=\"currentTiddler\" value={{$:/language}}>\n\n<$set name=\"languageTitle\" value={{!!name}}>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<$transclude mode=\"block\"/>\n</$list>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/PageTemplate/alerts": {
"title": "$:/core/ui/PageTemplate/alerts",
"tags": "$:/tags/PageTemplate",
"text": "<div class=\"tc-alerts\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Alert]!has[draft.of]]\" template=\"$:/core/ui/AlertTemplate\" storyview=\"pop\"/>\n\n</div>\n"
},
"$:/core/ui/PageTemplate/drafts": {
"title": "$:/core/ui/PageTemplate/drafts",
"tags": "$:/tags/PageTemplate",
"text": "\\whitespace trim\n<$reveal state=\"$:/status/IsReadOnly\" type=\"nomatch\" text=\"yes\" tag=\"div\" class=\"tc-drafts-list\">\n<$list filter=\"[has[draft.of]!sort[modified]] -[list[$:/StoryList]]\">\n<$link>\n{{$:/core/images/edit-button}} <$text text=<<currentTiddler>>/>\n</$link>\n</$list>\n</$reveal>\n"
},
"$:/core/ui/PageTemplate/pluginreloadwarning": {
"title": "$:/core/ui/PageTemplate/pluginreloadwarning",
"tags": "$:/tags/PageTemplate",
"text": "\\define lingo-base() $:/language/\n\n<$list filter=\"[{$:/status/RequireReloadDueToPluginChange}match[yes]]\">\n\n<$reveal type=\"nomatch\" state=\"$:/temp/HidePluginWarning\" text=\"yes\">\n\n<div class=\"tc-plugin-reload-warning\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<<lingo PluginReloadWarning>> <$button set=\"$:/temp/HidePluginWarning\" setTo=\"yes\" class=\"tc-btn-invisible\">{{$:/core/images/close-button}}</$button>\n\n</$set>\n\n</div>\n\n</$reveal>\n\n</$list>\n"
},
"$:/core/ui/PageTemplate/sidebar": {
"title": "$:/core/ui/PageTemplate/sidebar",
"tags": "$:/tags/PageTemplate",
"text": "\\whitespace trim\n\\define config-title()\n$:/config/SideBarSegments/Visibility/$(listItem)$\n\\end\n\n<$scrollable fallthrough=\"no\" class=\"tc-sidebar-scrollable\">\n\n<div class=\"tc-sidebar-header\">\n\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBarSegment]!has[draft.of]]\" variable=\"listItem\">\n\n<$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\" tag=\"div\">\n\n<$transclude tiddler=<<listItem>> mode=\"block\"/>\n\n</$reveal>\n\n</$list>\n\n</$reveal>\n\n</div>\n\n</$scrollable>\n"
},
"$:/core/ui/PageTemplate/story": {
"title": "$:/core/ui/PageTemplate/story",
"tags": "$:/tags/PageTemplate",
"text": "\\whitespace trim\n<section class=\"tc-story-river\">\n\n<section class=\"story-backdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/AboveStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n<$list filter=\"[list[$:/StoryList]]\" history=\"$:/HistoryList\" template={{$:/config/ui/ViewTemplate}} editTemplate={{$:/config/ui/EditTemplate}} storyview={{$:/view}} emptyMessage={{$:/config/EmptyStoryMessage}}/>\n\n<section class=\"story-frontdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/BelowStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n</section>\n"
},
"$:/core/ui/PageTemplate/topleftbar": {
"title": "$:/core/ui/PageTemplate/topleftbar",
"tags": "$:/tags/PageTemplate",
"text": "<span class=\"tc-topbar tc-topbar-left\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopLeftBar]!has[draft.of]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</span>\n"
},
"$:/core/ui/PageTemplate/toprightbar": {
"title": "$:/core/ui/PageTemplate/toprightbar",
"tags": "$:/tags/PageTemplate",
"text": "<span class=\"tc-topbar tc-topbar-right\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopRightBar]!has[draft.of]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</span>\n"
},
"$:/core/ui/PageTemplate": {
"title": "$:/core/ui/PageTemplate",
"text": "\\whitespace trim\n\\define containerClasses()\ntc-page-container tc-page-view-$(storyviewTitle)$ tc-language-$(languageTitle)$\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<$set name=\"tv-config-toolbar-icons\" value={{$:/config/Toolbar/Icons}}>\n\n<$set name=\"tv-config-toolbar-text\" value={{$:/config/Toolbar/Text}}>\n\n<$set name=\"tv-config-toolbar-class\" value={{$:/config/Toolbar/ButtonClass}}>\n\n<$set name=\"tv-enable-drag-and-drop\" value={{$:/config/DragAndDrop/Enable}}>\n\n<$set name=\"tv-show-missing-links\" value={{$:/config/MissingLinks}}>\n\n<$set name=\"storyviewTitle\" value={{$:/view}}>\n\n<$set name=\"languageTitle\" value={{{ [{$:/language}get[name]] }}}>\n\n<div class=<<containerClasses>>>\n\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n\n<$dropzone enable=<<tv-enable-drag-and-drop>>>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageTemplate]!has[draft.of]]\" variable=\"listItem\">\n\n<$transclude tiddler=<<listItem>>/>\n\n</$list>\n\n</$dropzone>\n\n</$navigator>\n\n</div>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n"
},
"$:/PaletteManager": {
"title": "$:/PaletteManager",
"text": "\\define lingo-base() $:/language/ControlPanel/Palette/Editor/\n\\define describePaletteColour(colour)\n<$transclude tiddler=\"$:/language/Docs/PaletteColours/$colour$\"><$text text=\"$colour$\"/></$transclude>\n\\end\n\\define edit-colour-placeholder()\n edit $(colourName)$\n\\end\n\\define colour-tooltip(showhide) $showhide$ editor for $(newColourName)$ \n\\define resolve-colour(macrocall)\n\\import $:/core/macros/utils\n\\whitespace trim\n<$wikify name=\"name\" text=\"\"\"$macrocall$\"\"\">\n<<name>>\n</$wikify>\n\\end\n\\define delete-colour-index-actions() <$action-setfield $index=<<colourName>>/>\n\\define palette-manager-colour-row-segment()\n\\whitespace trim\n<$edit-text index=<<colourName>> tag=\"input\" placeholder=<<edit-colour-placeholder>> default=\"\"/>\n<br>\n<$edit-text index=<<colourName>> type=\"color\" tag=\"input\" class=\"tc-palette-manager-colour-input\"/>\n<$list filter=\"[<currentTiddler>getindex<colourName>removeprefix[<<]removesuffix[>>]] [<currentTiddler>getindex<colourName>removeprefix[<$]removesuffix[/>]]\" variable=\"ignore\">\n<$set name=\"state\" value={{{ [[$:/state/palettemanager/]addsuffix<currentTiddler>addsuffix[/]addsuffix<colourName>] }}}>\n<$wikify name=\"newColourName\" text=\"\"\"<$macrocall $name=\"resolve-colour\" macrocall={{{ [<currentTiddler>getindex<colourName>] }}}/>\"\"\">\n<$reveal state=<<state>> type=\"nomatch\" text=\"show\">\n<$button tooltip=<<colour-tooltip show>> aria-label=<<colour-tooltip show>> class=\"tc-btn-invisible\" set=<<state>> setTo=\"show\">{{$:/core/images/down-arrow}} <$text text=<<newColourName>>/></$button><br>\n</$reveal>\n<$reveal state=<<state>> type=\"match\" text=\"show\">\n<$button tooltip=<<colour-tooltip hide>> aria-label=<<colour-tooltip show>> class=\"tc-btn-invisible\" actions=\"\"\"<$action-deletetiddler $tiddler=<<state>>/>\"\"\">{{$:/core/images/up-arrow}} <$text text=<<newColourName>>/></$button><br>\n</$reveal>\n<$reveal state=<<state>> type=\"match\" text=\"show\">\n<$set name=\"colourName\" value=<<newColourName>>>\n<br>\n<<palette-manager-colour-row-segment>>\n<br><br>\n</$set>\n</$reveal>\n</$wikify>\n</$set>\n</$list>\n\\end\n\\define palette-manager-colour-row()\n\\whitespace trim\n<tr>\n<td>\n<span style=\"float:right;\">\n<$button tooltip=<<lingo Delete/Hint>> aria-label=<<lingo Delete/Hint>> class=\"tc-btn-invisible\" actions=<<delete-colour-index-actions>>>\n{{$:/core/images/delete-button}}</$button>\n</span>\n''<$macrocall $name=\"describePaletteColour\" colour=<<colourName>>/>''<br/>\n<$macrocall $name=\"colourName\" $output=\"text/plain\"/>\n</td>\n<td>\n<<palette-manager-colour-row-segment>>\n</td>\n</tr>\n\\end\n\\define palette-manager-table()\n\\whitespace trim\n<table>\n<tbody>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Palette]indexes[]]\" variable=\"colourName\">\n<$list filter=\"[<currentTiddler>indexes[]removeprefix<colourName>suffix[]]\" variable=\"ignore\" emptyMessage=\"\"\"\n<$list filter=\"[{$:/state/palettemanager/showexternal}removeprefix[yes]suffix[]]\" variable=\"ignore\">\n<<palette-manager-colour-row>>\n</$list>\n\"\"\">\n<<palette-manager-colour-row>>\n</$list>\n</$list>\n</tbody>\n</table>\n\\end\n<$set name=\"currentTiddler\" value={{$:/palette}}>\n\n<<lingo Prompt>> <$link to={{$:/palette}}><$macrocall $name=\"currentTiddler\" $output=\"text/plain\"/></$link>\n\n<$list filter=\"[all[current]is[shadow]is[tiddler]]\" variable=\"listItem\">\n<<lingo Prompt/Modified>>\n<$button message=\"tm-delete-tiddler\" param={{$:/palette}}><<lingo Reset/Caption>></$button>\n</$list>\n\n<$list filter=\"[all[current]is[shadow]!is[tiddler]]\" variable=\"listItem\">\n<<lingo Clone/Prompt>>\n</$list>\n\n<$button message=\"tm-new-tiddler\" param={{$:/palette}}><<lingo Clone/Caption>></$button>\n\n<$checkbox tiddler=\"$:/state/palettemanager/showexternal\" field=\"text\" checked=\"yes\" unchecked=\"no\"> <<lingo Names/External/Show>></$checkbox>\n\n<<palette-manager-table>>\n"
},
"$:/core/ui/PluginInfo": {
"title": "$:/core/ui/PluginInfo",
"text": "\\define localised-info-tiddler-title()\n$(currentTiddler)$/$(languageTitle)$/$(currentTab)$\n\\end\n\\define info-tiddler-title()\n$(currentTiddler)$/$(currentTab)$\n\\end\n\\define default-tiddler-title()\n$:/core/ui/PluginInfo/Default/$(currentTab)$\n\\end\n<$transclude tiddler=<<localised-info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<localised-info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<default-tiddler-title>> mode=\"block\">\n{{$:/language/ControlPanel/Plugin/NoInfoFound/Hint}}\n</$transclude>\n</$transclude>\n</$transclude>\n</$transclude>\n"
},
"$:/core/ui/PluginInfo/Default/contents": {
"title": "$:/core/ui/PluginInfo/Default/contents",
"text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/PluginInfo/\n<<lingo Hint>>\n<ul>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" emptyMessage=<<lingo Empty/Hint>>>\n<li>\n<$link />\n</li>\n</$list>\n</ul>\n"
},
"$:/core/ui/PluginListItemTemplate": {
"title": "$:/core/ui/PluginListItemTemplate",
"text": "<div class=\"tc-menu-list-item\">\n<$link to={{!!title}}><$view field=\"description\"><$view field=\"title\"/></$view></$link>\n</div>"
},
"$:/core/ui/SearchResults": {
"title": "$:/core/ui/SearchResults",
"text": "<div class=\"tc-search-results\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\" emptyMessage=\"\"\"\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\">\n<$transclude mode=\"block\"/>\n</$list>\n\"\"\">\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\" default={{$:/config/SearchResults/Default}}/>\n\n</$list>\n\n</div>\n"
},
"$:/core/ui/SideBar/More": {
"title": "$:/core/ui/SideBar/More",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/More/Caption}}",
"text": "<div class=\"tc-more-sidebar\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar]!has[draft.of]]\" default={{$:/config/DefaultMoreSidebarTab}} state=\"$:/state/tab/moresidebar\" class=\"tc-vertical tc-sidebar-tabs-more\" />\n</div>"
},
"$:/core/ui/SideBar/Open": {
"title": "$:/core/ui/SideBar/Open",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/Open/Caption}}",
"text": "\\whitespace trim\n\\define lingo-base() $:/language/CloseAll/\n\n\\define drop-actions()\n<$action-listops $tiddler=<<tv-story-list>> $subfilter=\"+[insertbefore:currentTiddler<actionTiddler>]\"/>\n\\end\n\n\\define placeholder()\n<div class=\"tc-droppable-placeholder\"/>\n\\end\n\n\\define droppable-item(button)\n\\whitespace trim\n<$droppable actions=<<drop-actions>> enable=<<tv-allow-drag-and-drop>>>\n<<placeholder>>\n<div>\n$button$\n</div>\n</$droppable>\n\\end\n\n<div class=\"tc-sidebar-tab-open\">\n<$list filter=\"[list<tv-story-list>]\" history=<<tv-history-list>> storyview=\"pop\">\n<div class=\"tc-sidebar-tab-open-item\">\n<$macrocall $name=\"droppable-item\" button=\"\"\"<$button message=\"tm-close-tiddler\" tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class=\"tc-btn-invisible tc-btn-mini\">{{$:/core/images/close-button}}</$button> <$link to={{!!title}}><$view field=\"title\"/></$link>\"\"\"/>\n</div>\n</$list>\n<$tiddler tiddler=\"\">\n<div>\n<$macrocall $name=\"droppable-item\" button=\"\"\"<$button message=\"tm-close-all-tiddlers\" class=\"tc-btn-invisible tc-btn-mini\"><<lingo Button>></$button>\"\"\"/>\n</div>\n</$tiddler>\n</div>\n"
},
"$:/core/ui/SideBar/Recent": {
"title": "$:/core/ui/SideBar/Recent",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/Recent/Caption}}",
"text": "<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n"
},
"$:/core/ui/SideBar/Tools": {
"title": "$:/core/ui/SideBar/Tools",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/Tools/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n\n<<lingo Basics/Version/Prompt>> <<version>>\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n\n<div style=\"position:relative;\" class={{{ [<listItem>encodeuricomponent[]addprefix[tc-btn-]] }}}>\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>>/> <i class=\"tc-muted\"><$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</div>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/SideBarLists": {
"title": "$:/core/ui/SideBarLists",
"text": "<$transclude tiddler=\"$:/core/ui/SideBarSegments/search\"/>\n\n<$transclude tiddler=\"$:/core/ui/SideBarSegments/tabs\"/>\n\n"
},
"$:/core/ui/SideBarSegments/page-controls": {
"title": "$:/core/ui/SideBarSegments/page-controls",
"tags": "$:/tags/SideBarSegment",
"text": "{{||$:/core/ui/PageTemplate/pagecontrols}}\n"
},
"$:/core/ui/SideBarSegments/search": {
"title": "$:/core/ui/SideBarSegments/search",
"tags": "$:/tags/SideBarSegment",
"text": "\\whitespace trim\n<div class=\"tc-sidebar-lists tc-sidebar-search\">\n\n<$set name=\"searchTiddler\" value=\"$:/temp/search\">\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/search\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}} focusPopup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-popup-handle\"/>\n<$reveal state=\"$:/temp/search\" type=\"nomatch\" text=\"\">\n<$button tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" text={{$:/temp/search}}/>\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n{{$:/core/images/advanced-search-button}}\n</$button>\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\" />\n{{$:/core/images/close-button}}\n</$button>\n<$button popup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n<$list filter=\"[{$:/temp/search}minlength{$:/config/Search/MinLength}limit[1]]\" variable=\"listItem\">\n<$set name=\"searchTerm\" value={{{ [<searchTiddler>get[text]] }}}>\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[!is[system]search<searchTerm>]\"/>\"\"\">\n{{$:/language/Search/Matches}}\n</$set>\n</$set>\n</$list>\n</$button>\n</$reveal>\n<$reveal state=\"$:/temp/search\" type=\"match\" text=\"\">\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/advanced-search-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown-wrapper\" state=\"$:/temp/search\" type=\"nomatch\" text=\"\">\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown tc-search-drop-down tc-popup-handle\" state=<<qualify \"$:/state/popup/search-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n\n<$list filter=\"[{$:/temp/search}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n{{$:/core/ui/SearchResults}}\n\n</$list>\n\n</$reveal>\n\n</$reveal>\n\n</$set>\n\n</div>\n"
},
"$:/core/ui/SideBarSegments/site-subtitle": {
"title": "$:/core/ui/SideBarSegments/site-subtitle",
"tags": "$:/tags/SideBarSegment",
"text": "<div class=\"tc-site-subtitle\">\n\n<$transclude tiddler=\"$:/SiteSubtitle\" mode=\"inline\"/>\n\n</div>\n"
},
"$:/core/ui/SideBarSegments/site-title": {
"title": "$:/core/ui/SideBarSegments/site-title",
"tags": "$:/tags/SideBarSegment",
"text": "<h1 class=\"tc-site-title\">\n\n<$transclude tiddler=\"$:/SiteTitle\" mode=\"inline\"/>\n\n</h1>\n"
},
"$:/core/ui/SideBarSegments/tabs": {
"title": "$:/core/ui/SideBarSegments/tabs",
"tags": "$:/tags/SideBarSegment",
"text": "<div class=\"tc-sidebar-lists tc-sidebar-tabs\">\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\" default={{$:/config/DefaultSidebarTab}} state=\"$:/state/tab/sidebar\" class=\"tc-sidebar-tabs-main\"/>\n\n</div>\n"
},
"$:/TagManager": {
"title": "$:/TagManager",
"icon": "$:/core/images/tag-button",
"color": "#bbb",
"text": "\\define lingo-base() $:/language/TagManager/\n\\define iconEditorTab(type)\n\\whitespace trim\n<$link to=\"\"><<lingo Icons/None>></$link>\n<$list filter=\"[all[shadows+tiddlers]is[image]] [all[shadows+tiddlers]tag[$:/tags/Image]] -[type[application/pdf]] +[sort[title]] +[$type$is[system]]\">\n<$link to={{!!title}}>\n<$transclude/> <$view field=\"title\"/>\n</$link>\n</$list>\n\\end\n\\define iconEditor(title)\n\\whitespace trim\n<div class=\"tc-drop-down-wrapper\">\n<$button popupTitle={{{ [[$:/state/popup/icon/]addsuffix<__title__>] }}} class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal stateTitle={{{ [[$:/state/popup/icon/]addsuffix<__title__>] }}} type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n<div class=\"tc-drop-down\">\n<$linkcatcher actions=\"\"\"<$action-setfield $tiddler=<<__title__>> icon=<<navigateTo>>/>\"\"\">\n<<iconEditorTab type:\"!\">>\n<hr/>\n<<iconEditorTab type:\"\">>\n</$linkcatcher>\n</div>\n</$reveal>\n</div>\n\\end\n\\define toggleButton(state)\n\\whitespace trim\n<$reveal stateTitle=<<__state__>> type=\"match\" text=\"closed\" default=\"closed\">\n<$button setTitle=<<__state__>> setTo=\"open\" class=\"tc-btn-invisible tc-btn-dropdown\" selectedClass=\"tc-selected\">\n{{$:/core/images/info-button}}\n</$button>\n</$reveal>\n<$reveal stateTitle=<<__state__>> type=\"match\" text=\"open\" default=\"closed\">\n<$button setTitle=<<__state__>> setTo=\"closed\" class=\"tc-btn-invisible tc-btn-dropdown\" selectedClass=\"tc-selected\">\n{{$:/core/images/info-button}}\n</$button>\n</$reveal>\n\\end\n\\whitespace trim\n<table class=\"tc-tag-manager-table\">\n<tbody>\n<tr>\n<th><<lingo Colour/Heading>></th>\n<th class=\"tc-tag-manager-tag\"><<lingo Tag/Heading>></th>\n<th><<lingo Count/Heading>></th>\n<th><<lingo Icon/Heading>></th>\n<th><<lingo Info/Heading>></th>\n</tr>\n<$list filter=\"[tags[]!is[system]sort[title]]\">\n<tr>\n<td><$edit-text field=\"color\" tag=\"input\" type=\"color\"/></td>\n<td>{{||$:/core/ui/TagTemplate}}</td>\n<td><$count filter=\"[all[current]tagging[]]\"/></td>\n<td>\n<$macrocall $name=\"iconEditor\" title={{!!title}}/>\n</td>\n<td>\n<$macrocall $name=\"toggleButton\" state={{{ [[$:/state/tag-manager/]addsuffix<currentTiddler>] }}} /> \n</td>\n</tr>\n<tr>\n<td></td>\n<td colspan=\"4\">\n<$reveal stateTitle={{{ [[$:/state/tag-manager/]addsuffix<currentTiddler>] }}} type=\"match\" text=\"open\" default=\"\">\n<table>\n<tbody>\n<tr><td><<lingo Colour/Heading>></td><td><$edit-text field=\"color\" tag=\"input\" type=\"text\" size=\"9\"/></td></tr>\n<tr><td><<lingo Icon/Heading>></td><td><$edit-text field=\"icon\" tag=\"input\" size=\"45\"/></td></tr>\n</tbody>\n</table>\n</$reveal>\n</td>\n</tr>\n</$list>\n<tr>\n<td></td>\n<td style=\"position:relative;\">\n{{$:/core/ui/UntaggedTemplate}}\n</td>\n<td>\n<small class=\"tc-menu-list-count\"><$count filter=\"[untagged[]!is[system]] -[tags[]]\"/></small>\n</td>\n<td></td>\n<td></td>\n</tr>\n</tbody>\n</table>\n"
},
"$:/core/ui/TagTemplate": {
"title": "$:/core/ui/TagTemplate",
"text": "\\whitespace trim\n<span class=\"tc-tag-list-item\">\n<$set name=\"transclusion\" value=<<currentTiddler>>>\n<$macrocall $name=\"tag-pill-body\" tag=<<currentTiddler>> icon={{!!icon}} colour={{!!color}} palette={{$:/palette}} element-tag=\"\"\"$button\"\"\" element-attributes=\"\"\"popup=<<qualify \"$:/state/popup/tag\">> dragFilter='[all[current]tagging[]]' tag='span'\"\"\"/>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\" animate=\"yes\" class=\"tc-drop-down\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</$set>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TagDropdown]!has[draft.of]]\" variable=\"listItem\"> \n<$transclude tiddler=<<listItem>>/> \n</$list>\n<hr>\n<$macrocall $name=\"list-tagged-draggable\" tag=<<currentTiddler>>/>\n</$reveal>\n</$set>\n</span>\n"
},
"$:/core/ui/TiddlerFieldTemplate": {
"title": "$:/core/ui/TiddlerFieldTemplate",
"text": "<tr class=\"tc-view-field\">\n<td class=\"tc-view-field-name\">\n<$text text=<<listItem>>/>\n</td>\n<td class=\"tc-view-field-value\">\n<$view field=<<listItem>>/>\n</td>\n</tr>"
},
"$:/core/ui/TiddlerFields": {
"title": "$:/core/ui/TiddlerFields",
"text": "<table class=\"tc-view-field-table\">\n<tbody>\n<$list filter=\"[all[current]fields[]sort[title]] -text\" template=\"$:/core/ui/TiddlerFieldTemplate\" variable=\"listItem\"/>\n</tbody>\n</table>\n"
},
"$:/core/ui/TiddlerInfo/Advanced/PluginInfo": {
"title": "$:/core/ui/TiddlerInfo/Advanced/PluginInfo",
"tags": "$:/tags/TiddlerInfo/Advanced",
"text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/PluginInfo/\n<$list filter=\"[all[current]has[plugin-type]]\">\n\n! <<lingo Heading>>\n\n<<lingo Hint>>\n<ul>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" emptyMessage=<<lingo Empty/Hint>>>\n<li>\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</li>\n</$list>\n</ul>\n\n</$list>\n"
},
"$:/core/ui/TiddlerInfo/Advanced/ShadowInfo": {
"title": "$:/core/ui/TiddlerInfo/Advanced/ShadowInfo",
"tags": "$:/tags/TiddlerInfo/Advanced",
"text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/ShadowInfo/\n<$set name=\"infoTiddler\" value=<<currentTiddler>>>\n\n''<<lingo Heading>>''\n\n<$list filter=\"[all[current]!is[shadow]]\">\n\n<<lingo NotShadow/Hint>>\n\n</$list>\n\n<$list filter=\"[all[current]is[shadow]]\">\n\n<<lingo Shadow/Hint>>\n\n<$list filter=\"[all[current]shadowsource[]]\">\n\n<$set name=\"pluginTiddler\" value=<<currentTiddler>>>\n<<lingo Shadow/Source>>\n</$set>\n\n</$list>\n\n<$list filter=\"[all[current]is[shadow]is[tiddler]]\">\n\n<<lingo OverriddenShadow/Hint>>\n\n</$list>\n\n\n</$list>\n</$set>\n"
},
"$:/core/ui/TiddlerInfo/Advanced": {
"title": "$:/core/ui/TiddlerInfo/Advanced",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Advanced/Caption}}",
"text": "<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfo/Advanced]!has[draft.of]]\" variable=\"listItem\">\n<$transclude tiddler=<<listItem>>/>\n\n</$list>\n"
},
"$:/core/ui/TiddlerInfo/Fields": {
"title": "$:/core/ui/TiddlerInfo/Fields",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Fields/Caption}}",
"text": "<$transclude tiddler=\"$:/core/ui/TiddlerFields\"/>\n"
},
"$:/core/ui/TiddlerInfo/List": {
"title": "$:/core/ui/TiddlerInfo/List",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/List/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[list{!!title}]\" emptyMessage=<<lingo List/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/TiddlerInfo/Listed": {
"title": "$:/core/ui/TiddlerInfo/Listed",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Listed/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]listed[]!is[system]]\" emptyMessage=<<lingo Listed/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/TiddlerInfo/References": {
"title": "$:/core/ui/TiddlerInfo/References",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/References/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]backlinks[]sort[title]]\" emptyMessage=<<lingo References/Empty>> template=\"$:/core/ui/ListItemTemplate\">\n</$list>"
},
"$:/core/ui/TiddlerInfo/Tagging": {
"title": "$:/core/ui/TiddlerInfo/Tagging",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Tagging/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]tagging[]]\" emptyMessage=<<lingo Tagging/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/TiddlerInfo/Tools": {
"title": "$:/core/ui/TiddlerInfo/Tools",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Tools/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\">\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>>/> <i class=\"tc-muted\"><$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/TiddlerInfo": {
"title": "$:/core/ui/TiddlerInfo",
"text": "<div style=\"position:relative;\">\n<div class=\"tc-tiddler-controls\" style=\"position:absolute;right:0;\">\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"sticky\">\n<$button set=<<tiddlerInfoState>> setTo=\"\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n</div>\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfo]!has[draft.of]]\" default={{$:/config/TiddlerInfo/Default}}/>"
},
"$:/core/ui/TopBar/menu": {
"title": "$:/core/ui/TopBar/menu",
"tags": "$:/tags/TopRightBar",
"text": "<$list filter=\"[[$:/state/sidebar]get[text]] +[else[yes]!match[no]]\" variable=\"ignore\">\n<$button set=\"$:/state/sidebar\" setTo=\"no\" tooltip={{$:/language/Buttons/HideSideBar/Hint}} aria-label={{$:/language/Buttons/HideSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}}</$button>\n</$list>\n<$list filter=\"[[$:/state/sidebar]get[text]] +[else[yes]match[no]]\" variable=\"ignore\">\n<$button set=\"$:/state/sidebar\" setTo=\"yes\" tooltip={{$:/language/Buttons/ShowSideBar/Hint}} aria-label={{$:/language/Buttons/ShowSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-left}}</$button>\n</$list>\n"
},
"$:/core/ui/UntaggedTemplate": {
"title": "$:/core/ui/UntaggedTemplate",
"text": "\\define lingo-base() $:/language/SideBar/\n<$button popup=<<qualify \"$:/state/popup/tag\">> class=\"tc-btn-invisible tc-untagged-label tc-tag-label\">\n<<lingo Tags/Untagged/Caption>>\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\">\n<div class=\"tc-drop-down\">\n<$list filter=\"[untagged[]!is[system]] -[tags[]] +[sort[title]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/body": {
"title": "$:/core/ui/ViewTemplate/body",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal tag=\"div\" class=\"tc-tiddler-body\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[current]!has[plugin-type]!field:hide-body[yes]]\">\n\n<$transclude>\n\n<$transclude tiddler=\"$:/language/MissingTiddler/Hint\"/>\n\n</$transclude>\n\n</$list>\n\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/classic": {
"title": "$:/core/ui/ViewTemplate/classic",
"tags": "$:/tags/ViewTemplate $:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/ClassicWarning/\n<$list filter=\"[all[current]type[text/x-tiddlywiki]]\">\n<div class=\"tc-message-box\">\n\n<<lingo Hint>>\n\n<$button set=\"!!type\" setTo=\"text/vnd.tiddlywiki\"><<lingo Upgrade/Caption>></$button>\n\n</div>\n</$list>\n"
},
"$:/core/ui/ViewTemplate/import": {
"title": "$:/core/ui/ViewTemplate/import",
"tags": "$:/tags/ViewTemplate",
"text": "\\define lingo-base() $:/language/Import/\n\n\\define buttons()\n<$button message=\"tm-delete-tiddler\" param=<<currentTiddler>>><<lingo Listing/Cancel/Caption>></$button>\n<$button message=\"tm-perform-import\" param=<<currentTiddler>>><<lingo Listing/Import/Caption>></$button>\n<<lingo Listing/Preview>> <$select tiddler=\"$:/state/importpreviewtype\" default=\"$:/core/ui/ImportPreviews/Text\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ImportPreview]!has[draft.of]]\">\n<option value=<<currentTiddler>>>{{!!caption}}</option>\n</$list>\n</$select>\n\\end\n\n<$list filter=\"[all[current]field:plugin-type[import]]\">\n\n<div class=\"tc-import\">\n\n<<lingo Listing/Hint>>\n\n<<buttons>>\n\n{{||$:/core/ui/ImportListing}}\n\n<<buttons>>\n\n</div>\n\n</$list>\n"
},
"$:/core/ui/ViewTemplate/plugin": {
"title": "$:/core/ui/ViewTemplate/plugin",
"tags": "$:/tags/ViewTemplate",
"text": "<$list filter=\"[all[current]has[plugin-type]] -[all[current]field:plugin-type[import]]\">\n<$set name=\"plugin-type\" value={{!!plugin-type}}>\n<$set name=\"default-popup-state\" value=\"yes\">\n<$set name=\"qualified-state\" value=<<qualify \"$:/state/plugin-info\">>>\n{{||$:/core/ui/Components/plugin-info}}\n</$set>\n</$set>\n</$set>\n</$list>\n"
},
"$:/core/ui/ViewTemplate/subtitle": {
"title": "$:/core/ui/ViewTemplate/subtitle",
"tags": "$:/tags/ViewTemplate",
"text": "\\whitespace trim\n<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" tag=\"div\" retain=\"yes\" animate=\"yes\">\n<div class=\"tc-subtitle\">\n<$link to={{!!modifier}} />\n<$view field=\"modified\" format=\"date\" template={{$:/language/Tiddler/DateFormat}}/>\n</div>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/tags": {
"title": "$:/core/ui/ViewTemplate/tags",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" tag=\"div\" retain=\"yes\" animate=\"yes\">\n<div class=\"tc-tags-wrapper\"><$list filter=\"[all[current]tags[]sort[title]]\" template=\"$:/core/ui/TagTemplate\" storyview=\"pop\"/></div>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/title": {
"title": "$:/core/ui/ViewTemplate/title",
"tags": "$:/tags/ViewTemplate",
"text": "\\whitespace trim\n\\define title-styles()\nfill:$(foregroundColor)$;\n\\end\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-tiddler-title\">\n<div class=\"tc-titlebar\">\n<span class=\"tc-tiddler-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\"><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\"><$transclude tiddler=<<listItem>>/></$set></$reveal></$list>\n</span>\n<$set name=\"tv-wikilinks\" value={{$:/config/Tiddlers/TitleLinks}}>\n<$link>\n<$set name=\"foregroundColor\" value={{!!color}}>\n<span class=\"tc-tiddler-title-icon\" style=<<title-styles>>>\n<$transclude tiddler={{!!icon}}>\n<$transclude tiddler={{$:/config/DefaultTiddlerIcon}}/>\n</$transclude>\n</span>\n</$set>\n<$list filter=\"[all[current]removeprefix[$:/]]\">\n<h2 class=\"tc-title\" title={{$:/language/SystemTiddler/Tooltip}}>\n<span class=\"tc-system-title-prefix\">$:/</span><$text text=<<currentTiddler>>/>\n</h2>\n</$list>\n<$list filter=\"[all[current]!prefix[$:/]]\">\n<h2 class=\"tc-title\">\n<$view field=\"title\"/>\n</h2>\n</$list>\n</$link>\n</$set>\n</div>\n\n<$reveal type=\"nomatch\" text=\"\" default=\"\" state=<<tiddlerInfoState>> class=\"tc-tiddler-info tc-popup-handle\" animate=\"yes\" retain=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfoSegment]!has[draft.of]] [[$:/core/ui/TiddlerInfo]]\" variable=\"listItem\"><$transclude tiddler=<<listItem>> mode=\"block\"/></$list>\n\n</$reveal>\n</div>"
},
"$:/core/ui/ViewTemplate/unfold": {
"title": "$:/core/ui/ViewTemplate/unfold",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal tag=\"div\" type=\"nomatch\" state=\"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar\" text=\"hide\">\n<$reveal tag=\"div\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\" retain=\"yes\" animate=\"yes\">\n<$button tooltip={{$:/language/Buttons/Fold/Hint}} aria-label={{$:/language/Buttons/Fold/Caption}} class=\"tc-fold-banner\">\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n{{$:/core/images/chevron-up}}\n</$button>\n</$reveal>\n<$reveal tag=\"div\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"show\" default=\"show\" retain=\"yes\" animate=\"yes\">\n<$button tooltip={{$:/language/Buttons/Unfold/Hint}} aria-label={{$:/language/Buttons/Unfold/Caption}} class=\"tc-unfold-banner\">\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate": {
"title": "$:/core/ui/ViewTemplate",
"text": "\\define folded-state()\n$:/state/folded/$(currentTiddler)$\n\\end\n\\import [all[shadows+tiddlers]tag[$:/tags/Macro/View]!has[draft.of]]\n<$vars storyTiddler=<<currentTiddler>> tiddlerInfoState=<<qualify \"$:/state/popup/tiddler-info\">>><div data-tiddler-title=<<currentTiddler>> data-tags={{!!tags}} class={{{ tc-tiddler-frame tc-tiddler-view-frame [<currentTiddler>is[tiddler]then[tc-tiddler-exists]] [<currentTiddler>is[missing]!is[shadow]then[tc-tiddler-missing]] [<currentTiddler>is[shadow]then[tc-tiddler-exists tc-tiddler-shadow]] [<currentTiddler>is[shadow]is[tiddler]then[tc-tiddler-overridden-shadow]] [<currentTiddler>is[system]then[tc-tiddler-system]] [{!!class}] [<currentTiddler>tags[]encodeuricomponent[]addprefix[tc-tagged-]] +[join[ ]] }}}><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewTemplate]!has[draft.of]]\" variable=\"listItem\"><$transclude tiddler=<<listItem>>/></$list>\n</div>\n</$vars>\n"
},
"$:/core/ui/Buttons/clone": {
"title": "$:/core/ui/Buttons/clone",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/clone-button}} {{$:/language/Buttons/Clone/Caption}}",
"description": "{{$:/language/Buttons/Clone/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-new-tiddler\" param=<<currentTiddler>> tooltip={{$:/language/Buttons/Clone/Hint}} aria-label={{$:/language/Buttons/Clone/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/clone-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Clone/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/close-others": {
"title": "$:/core/ui/Buttons/close-others",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/close-others-button}} {{$:/language/Buttons/CloseOthers/Caption}}",
"description": "{{$:/language/Buttons/CloseOthers/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-close-other-tiddlers\" param=<<currentTiddler>> tooltip={{$:/language/Buttons/CloseOthers/Hint}} aria-label={{$:/language/Buttons/CloseOthers/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-others-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/CloseOthers/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/close": {
"title": "$:/core/ui/Buttons/close",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/close-button}} {{$:/language/Buttons/Close/Caption}}",
"description": "{{$:/language/Buttons/Close/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-close-tiddler\" tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Close/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/edit": {
"title": "$:/core/ui/Buttons/edit",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/edit-button}} {{$:/language/Buttons/Edit/Caption}}",
"description": "{{$:/language/Buttons/Edit/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-edit-tiddler\" tooltip={{$:/language/Buttons/Edit/Hint}} aria-label={{$:/language/Buttons/Edit/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/edit-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Edit/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/export-tiddler": {
"title": "$:/core/ui/Buttons/export-tiddler",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/export-button}} {{$:/language/Buttons/ExportTiddler/Caption}}",
"description": "{{$:/language/Buttons/ExportTiddler/Hint}}",
"text": "\\define makeExportFilter()\n[[$(currentTiddler)$]]\n\\end\n<$macrocall $name=\"exportButton\" exportFilter=<<makeExportFilter>> lingoBase=\"$:/language/Buttons/ExportTiddler/\" baseFilename=<<currentTiddler>>/>"
},
"$:/core/ui/Buttons/fold-bar": {
"title": "$:/core/ui/Buttons/fold-bar",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/chevron-up}} {{$:/language/Buttons/Fold/FoldBar/Caption}}",
"description": "{{$:/language/Buttons/Fold/FoldBar/Hint}}",
"text": "<!-- This dummy toolbar button is here to allow visibility of the fold-bar to be controlled as if it were a toolbar button -->"
},
"$:/core/ui/Buttons/fold-others": {
"title": "$:/core/ui/Buttons/fold-others",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/fold-others-button}} {{$:/language/Buttons/FoldOthers/Caption}}",
"description": "{{$:/language/Buttons/FoldOthers/Hint}}",
"text": "\\whitespace trim\n<$button tooltip={{$:/language/Buttons/FoldOthers/Hint}} aria-label={{$:/language/Buttons/FoldOthers/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-other-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-others-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/FoldOthers/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/fold": {
"title": "$:/core/ui/Buttons/fold",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/fold-button}} {{$:/language/Buttons/Fold/Caption}}",
"description": "{{$:/language/Buttons/Fold/Hint}}",
"text": "\\whitespace trim\n<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\">\n<$button tooltip={{$:/language/Buttons/Fold/Hint}} aria-label={{$:/language/Buttons/Fold/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Fold/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"match\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\">\n<$button tooltip={{$:/language/Buttons/Unfold/Hint}} aria-label={{$:/language/Buttons/Unfold/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/unfold-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Unfold/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n"
},
"$:/core/ui/Buttons/info": {
"title": "$:/core/ui/Buttons/info",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/info-button}} {{$:/language/Buttons/Info/Caption}}",
"description": "{{$:/language/Buttons/Info/Hint}}",
"text": "\\whitespace trim\n\\define button-content()\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/info-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Info/Caption}}/>\n</span>\n</$list>\n\\end\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"popup\">\n<$button popup=<<tiddlerInfoState>> tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"sticky\">\n<$reveal state=<<tiddlerInfoState>> type=\"match\" text=\"\" default=\"\">\n<$button set=<<tiddlerInfoState>> setTo=\"yes\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n<$reveal state=<<tiddlerInfoState>> type=\"nomatch\" text=\"\" default=\"\">\n<$button set=<<tiddlerInfoState>> setTo=\"\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n</$reveal>"
},
"$:/core/ui/Buttons/more-tiddler-actions": {
"title": "$:/core/ui/Buttons/more-tiddler-actions",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}",
"description": "{{$:/language/Buttons/More/Hint}}",
"text": "\\whitespace trim\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/More/Caption}}/>\n</span>\n</$list>\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]] -[[$:/core/ui/Buttons/more-tiddler-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$set>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>"
},
"$:/core/ui/Buttons/new-here": {
"title": "$:/core/ui/Buttons/new-here",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/new-here-button}} {{$:/language/Buttons/NewHere/Caption}}",
"description": "{{$:/language/Buttons/NewHere/Hint}}",
"text": "\\whitespace trim\n\\define newHereActions()\n<$set name=\"tags\" filter=\"[<currentTiddler>] [{$:/config/NewTiddler/Tags!!tags}]\">\n<$action-sendmessage $message=\"tm-new-tiddler\" tags=<<tags>>/>\n</$set>\n\\end\n\\define newHereButton()\n<$button actions=<<newHereActions>> tooltip={{$:/language/Buttons/NewHere/Hint}} aria-label={{$:/language/Buttons/NewHere/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-here-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewHere/Caption}}/>\n</span>\n</$list>\n</$button>\n\\end\n<<newHereButton>>\n"
},
"$:/core/ui/Buttons/new-journal-here": {
"title": "$:/core/ui/Buttons/new-journal-here",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournalHere/Caption}}",
"description": "{{$:/language/Buttons/NewJournalHere/Hint}}",
"text": "\\whitespace trim\n\\define journalButtonTags()\n[[$(currentTiddlerTag)$]] $(journalTags)$\n\\end\n\\define journalButton()\n<$button tooltip={{$:/language/Buttons/NewJournalHere/Hint}} aria-label={{$:/language/Buttons/NewJournalHere/Caption}} class=<<tv-config-toolbar-class>>>\n<$wikify name=\"journalTitle\" text=\"\"\"<$macrocall $name=\"now\" format=<<journalTitleTemplate>>/>\"\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<journalButtonTags>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-journal-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewJournalHere/Caption}}/>\n</span>\n</$list>\n</$wikify>\n</$button>\n\\end\n<$set name=\"journalTitleTemplate\" value={{$:/config/NewJournal/Title}}>\n<$set name=\"journalTags\" value={{$:/config/NewJournal/Tags!!tags}}>\n<$set name=\"currentTiddlerTag\" value=<<currentTiddler>>>\n<<journalButton>>\n</$set>\n</$set>\n</$set>\n"
},
"$:/core/ui/Buttons/open-window": {
"title": "$:/core/ui/Buttons/open-window",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/open-window}} {{$:/language/Buttons/OpenWindow/Caption}}",
"description": "{{$:/language/Buttons/OpenWindow/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-open-window\" tooltip={{$:/language/Buttons/OpenWindow/Hint}} aria-label={{$:/language/Buttons/OpenWindow/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/open-window}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/OpenWindow/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/permalink": {
"title": "$:/core/ui/Buttons/permalink",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/permalink-button}} {{$:/language/Buttons/Permalink/Caption}}",
"description": "{{$:/language/Buttons/Permalink/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-permalink\" tooltip={{$:/language/Buttons/Permalink/Hint}} aria-label={{$:/language/Buttons/Permalink/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/permalink-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Permalink/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/permaview": {
"title": "$:/core/ui/Buttons/permaview",
"tags": "$:/tags/ViewToolbar $:/tags/PageControls",
"caption": "{{$:/core/images/permaview-button}} {{$:/language/Buttons/Permaview/Caption}}",
"description": "{{$:/language/Buttons/Permaview/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-permaview\" tooltip={{$:/language/Buttons/Permaview/Hint}} aria-label={{$:/language/Buttons/Permaview/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/permaview-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Permaview/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/DefaultTiddlers": {
"title": "$:/DefaultTiddlers",
"text": "GettingStarted\n"
},
"$:/temp/advancedsearch": {
"title": "$:/temp/advancedsearch",
"text": ""
},
"$:/snippets/allfields": {
"title": "$:/snippets/allfields",
"text": "\\define renderfield(title)\n<tr class=\"tc-view-field\"><td class=\"tc-view-field-name\">''$title$'':</td><td class=\"tc-view-field-value\">//{{$:/language/Docs/Fields/$title$}}//</td></tr>\n\\end\n<table class=\"tc-view-field-table\"><tbody><$list filter=\"[fields[]sort[title]]\" variable=\"listItem\"><$macrocall $name=\"renderfield\" title=<<listItem>>/></$list>\n</tbody></table>\n"
},
"$:/config/AnimationDuration": {
"title": "$:/config/AnimationDuration",
"text": "400"
},
"$:/config/AutoFocus": {
"title": "$:/config/AutoFocus",
"text": "title"
},
"$:/config/AutoSave": {
"title": "$:/config/AutoSave",
"text": "yes"
},
"$:/config/BitmapEditor/Colour": {
"title": "$:/config/BitmapEditor/Colour",
"text": "#444"
},
"$:/config/BitmapEditor/ImageSizes": {
"title": "$:/config/BitmapEditor/ImageSizes",
"text": "[[62px 100px]] [[100px 62px]] [[124px 200px]] [[200px 124px]] [[248px 400px]] [[371px 600px]] [[400px 248px]] [[556px 900px]] [[600px 371px]] [[742px 1200px]] [[900px 556px]] [[1200px 742px]]"
},
"$:/config/BitmapEditor/LineWidth": {
"title": "$:/config/BitmapEditor/LineWidth",
"text": "3px"
},
"$:/config/BitmapEditor/LineWidths": {
"title": "$:/config/BitmapEditor/LineWidths",
"text": "0.25px 0.5px 1px 2px 3px 4px 6px 8px 10px 16px 20px 28px 40px 56px 80px"
},
"$:/config/BitmapEditor/Opacities": {
"title": "$:/config/BitmapEditor/Opacities",
"text": "0.01 0.025 0.05 0.075 0.1 0.15 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0"
},
"$:/config/BitmapEditor/Opacity": {
"title": "$:/config/BitmapEditor/Opacity",
"text": "1.0"
},
"$:/config/DefaultMoreSidebarTab": {
"title": "$:/config/DefaultMoreSidebarTab",
"text": "$:/core/ui/MoreSideBar/Tags"
},
"$:/config/DefaultSidebarTab": {
"title": "$:/config/DefaultSidebarTab",
"text": "$:/core/ui/SideBar/Open"
},
"$:/config/DownloadSaver/AutoSave": {
"title": "$:/config/DownloadSaver/AutoSave",
"text": "no"
},
"$:/config/Drafts/TypingTimeout": {
"title": "$:/config/Drafts/TypingTimeout",
"text": "400"
},
"$:/config/EditTemplateFields/Visibility/title": {
"title": "$:/config/EditTemplateFields/Visibility/title",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/tags": {
"title": "$:/config/EditTemplateFields/Visibility/tags",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/text": {
"title": "$:/config/EditTemplateFields/Visibility/text",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/creator": {
"title": "$:/config/EditTemplateFields/Visibility/creator",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/created": {
"title": "$:/config/EditTemplateFields/Visibility/created",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/modified": {
"title": "$:/config/EditTemplateFields/Visibility/modified",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/modifier": {
"title": "$:/config/EditTemplateFields/Visibility/modifier",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/type": {
"title": "$:/config/EditTemplateFields/Visibility/type",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/draft.title": {
"title": "$:/config/EditTemplateFields/Visibility/draft.title",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/draft.of": {
"title": "$:/config/EditTemplateFields/Visibility/draft.of",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/revision": {
"title": "$:/config/EditTemplateFields/Visibility/revision",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/bag": {
"title": "$:/config/EditTemplateFields/Visibility/bag",
"text": "hide"
},
"$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-4": {
"title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-4",
"text": "hide"
},
"$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-5": {
"title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-5",
"text": "hide"
},
"$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-6": {
"title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-6",
"text": "hide"
},
"$:/config/EditorTypeMappings/image/gif": {
"title": "$:/config/EditorTypeMappings/image/gif",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/webp": {
"title": "$:/config/EditorTypeMappings/image/webp",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/heic": {
"title": "$:/config/EditorTypeMappings/image/heic",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/heif": {
"title": "$:/config/EditorTypeMappings/image/heif",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/jpeg": {
"title": "$:/config/EditorTypeMappings/image/jpeg",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/jpg": {
"title": "$:/config/EditorTypeMappings/image/jpg",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/png": {
"title": "$:/config/EditorTypeMappings/image/png",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/x-icon": {
"title": "$:/config/EditorTypeMappings/image/x-icon",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/text/vnd.tiddlywiki": {
"title": "$:/config/EditorTypeMappings/text/vnd.tiddlywiki",
"text": "text"
},
"$:/config/Manager/Show": {
"title": "$:/config/Manager/Show",
"text": "tiddlers"
},
"$:/config/Manager/Filter": {
"title": "$:/config/Manager/Filter",
"text": ""
},
"$:/config/Manager/Order": {
"title": "$:/config/Manager/Order",
"text": "forward"
},
"$:/config/Manager/Sort": {
"title": "$:/config/Manager/Sort",
"text": "title"
},
"$:/config/Manager/System": {
"title": "$:/config/Manager/System",
"text": "system"
},
"$:/config/Manager/Tag": {
"title": "$:/config/Manager/Tag",
"text": ""
},
"$:/state/popup/manager/item/$:/Manager/ItemMain/RawText": {
"title": "$:/state/popup/manager/item/$:/Manager/ItemMain/RawText",
"text": "hide"
},
"$:/config/MissingLinks": {
"title": "$:/config/MissingLinks",
"text": "yes"
},
"$:/config/Navigation/UpdateAddressBar": {
"title": "$:/config/Navigation/UpdateAddressBar",
"text": "no"
},
"$:/config/Navigation/UpdateHistory": {
"title": "$:/config/Navigation/UpdateHistory",
"text": "no"
},
"$:/config/NewImageType": {
"title": "$:/config/NewImageType",
"text": "jpeg"
},
"$:/config/OfficialPluginLibrary": {
"title": "$:/config/OfficialPluginLibrary",
"tags": "$:/tags/PluginLibrary",
"url": "https://tiddlywiki.com/library/v5.1.22/index.html",
"caption": "{{$:/language/OfficialPluginLibrary}}",
"text": "{{$:/language/OfficialPluginLibrary/Hint}}\n"
},
"$:/config/Navigation/openLinkFromInsideRiver": {
"title": "$:/config/Navigation/openLinkFromInsideRiver",
"text": "below"
},
"$:/config/Navigation/openLinkFromOutsideRiver": {
"title": "$:/config/Navigation/openLinkFromOutsideRiver",
"text": "top"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/close-all": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/close-all",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/encryption": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/encryption",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/export-page": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/export-page",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/fold-all": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/fold-all",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/full-screen": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/full-screen",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/home": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/home",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/refresh": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/refresh",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/import": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/import",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/language": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/language",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/tag-manager": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/tag-manager",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/manager": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/manager",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/more-page-actions": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/more-page-actions",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-journal": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-journal",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-image": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-image",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/palette": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/palette",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/permaview": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/permaview",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/print": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/print",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/storyview": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/storyview",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/timestamp": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/timestamp",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/theme": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/theme",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/unfold-all": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/unfold-all",
"text": "hide"
},
"$:/config/Performance/Instrumentation": {
"title": "$:/config/Performance/Instrumentation",
"text": "no"
},
"$:/config/RegisterPluginType/plugin": {
"title": "$:/config/RegisterPluginType/plugin",
"text": "yes"
},
"$:/config/RegisterPluginType/theme": {
"title": "$:/config/RegisterPluginType/theme",
"text": "no"
},
"$:/config/RegisterPluginType/language": {
"title": "$:/config/RegisterPluginType/language",
"text": "no"
},
"$:/config/RegisterPluginType/info": {
"title": "$:/config/RegisterPluginType/info",
"text": "no"
},
"$:/config/RegisterPluginType/import": {
"title": "$:/config/RegisterPluginType/import",
"text": "no"
},
"$:/config/SaveWikiButton/Template": {
"title": "$:/config/SaveWikiButton/Template",
"text": "$:/core/save/all"
},
"$:/config/SaverFilter": {
"title": "$:/config/SaverFilter",
"text": "[all[]] -[[$:/HistoryList]] -[[$:/StoryList]] -[[$:/Import]] -[[$:/isEncrypted]] -[[$:/UploadName]] -[prefix[$:/state/]] -[prefix[$:/temp/]]"
},
"$:/config/Search/AutoFocus": {
"title": "$:/config/Search/AutoFocus",
"text": "true"
},
"$:/config/Search/MinLength": {
"title": "$:/config/Search/MinLength",
"text": "3"
},
"$:/config/SearchResults/Default": {
"title": "$:/config/SearchResults/Default",
"text": "$:/core/ui/DefaultSearchResultList"
},
"$:/config/Server/ExternalFilters/[all[tiddlers]!is[system]sort[title]]": {
"title": "$:/config/Server/ExternalFilters/[all[tiddlers]!is[system]sort[title]]",
"text": "yes"
},
"$:/config/ShortcutInfo/add-field": {
"title": "$:/config/ShortcutInfo/add-field",
"text": "{{$:/language/EditTemplate/Fields/Add/Button/Hint}}"
},
"$:/config/ShortcutInfo/advanced-search": {
"title": "$:/config/ShortcutInfo/advanced-search",
"text": "{{$:/language/Buttons/AdvancedSearch/Hint}}"
},
"$:/config/ShortcutInfo/bold": {
"title": "$:/config/ShortcutInfo/bold",
"text": "{{$:/language/Buttons/Bold/Hint}}"
},
"$:/config/ShortcutInfo/cancel-edit-tiddler": {
"title": "$:/config/ShortcutInfo/cancel-edit-tiddler",
"text": "{{$:/language/Buttons/Cancel/Hint}}"
},
"$:/config/ShortcutInfo/excise": {
"title": "$:/config/ShortcutInfo/excise",
"text": "{{$:/language/Buttons/Excise/Hint}}"
},
"$:/config/ShortcutInfo/heading-1": {
"title": "$:/config/ShortcutInfo/heading-1",
"text": "{{$:/language/Buttons/Heading1/Hint}}"
},
"$:/config/ShortcutInfo/heading-2": {
"title": "$:/config/ShortcutInfo/heading-2",
"text": "{{$:/language/Buttons/Heading2/Hint}}"
},
"$:/config/ShortcutInfo/heading-3": {
"title": "$:/config/ShortcutInfo/heading-3",
"text": "{{$:/language/Buttons/Heading3/Hint}}"
},
"$:/config/ShortcutInfo/heading-4": {
"title": "$:/config/ShortcutInfo/heading-4",
"text": "{{$:/language/Buttons/Heading4/Hint}}"
},
"$:/config/ShortcutInfo/heading-5": {
"title": "$:/config/ShortcutInfo/heading-5",
"text": "{{$:/language/Buttons/Heading5/Hint}}"
},
"$:/config/ShortcutInfo/heading-6": {
"title": "$:/config/ShortcutInfo/heading-6",
"text": "{{$:/language/Buttons/Heading6/Hint}}"
},
"$:/config/ShortcutInfo/italic": {
"title": "$:/config/ShortcutInfo/italic",
"text": "{{$:/language/Buttons/Italic/Hint}}"
},
"$:/config/ShortcutInfo/link": {
"title": "$:/config/ShortcutInfo/link",
"text": "{{$:/language/Buttons/Link/Hint}}"
},
"$:/config/ShortcutInfo/list-bullet": {
"title": "$:/config/ShortcutInfo/list-bullet",
"text": "{{$:/language/Buttons/ListBullet/Hint}}"
},
"$:/config/ShortcutInfo/list-number": {
"title": "$:/config/ShortcutInfo/list-number",
"text": "{{$:/language/Buttons/ListNumber/Hint}}"
},
"$:/config/ShortcutInfo/mono-block": {
"title": "$:/config/ShortcutInfo/mono-block",
"text": "{{$:/language/Buttons/MonoBlock/Hint}}"
},
"$:/config/ShortcutInfo/mono-line": {
"title": "$:/config/ShortcutInfo/mono-line",
"text": "{{$:/language/Buttons/MonoLine/Hint}}"
},
"$:/config/ShortcutInfo/new-image": {
"title": "$:/config/ShortcutInfo/new-image",
"text": "{{$:/language/Buttons/NewImage/Hint}}"
},
"$:/config/ShortcutInfo/new-journal": {
"title": "$:/config/ShortcutInfo/new-journal",
"text": "{{$:/language/Buttons/NewJournal/Hint}}"
},
"$:/config/ShortcutInfo/new-tiddler": {
"title": "$:/config/ShortcutInfo/new-tiddler",
"text": "{{$:/language/Buttons/NewTiddler/Hint}}"
},
"$:/config/ShortcutInfo/picture": {
"title": "$:/config/ShortcutInfo/picture",
"text": "{{$:/language/Buttons/Picture/Hint}}"
},
"$:/config/ShortcutInfo/preview": {
"title": "$:/config/ShortcutInfo/preview",
"text": "{{$:/language/Buttons/Preview/Hint}}"
},
"$:/config/ShortcutInfo/quote": {
"title": "$:/config/ShortcutInfo/quote",
"text": "{{$:/language/Buttons/Quote/Hint}}"
},
"$:/config/ShortcutInfo/save-tiddler": {
"title": "$:/config/ShortcutInfo/save-tiddler",
"text": "{{$:/language/Buttons/Save/Hint}}"
},
"$:/config/ShortcutInfo/sidebar-search": {
"title": "$:/config/ShortcutInfo/sidebar-search",
"text": "{{$:/language/Buttons/SidebarSearch/Hint}}"
},
"$:/config/ShortcutInfo/stamp": {
"title": "$:/config/ShortcutInfo/stamp",
"text": "{{$:/language/Buttons/Stamp/Hint}}"
},
"$:/config/ShortcutInfo/strikethrough": {
"title": "$:/config/ShortcutInfo/strikethrough",
"text": "{{$:/language/Buttons/Strikethrough/Hint}}"
},
"$:/config/ShortcutInfo/subscript": {
"title": "$:/config/ShortcutInfo/subscript",
"text": "{{$:/language/Buttons/Subscript/Hint}}"
},
"$:/config/ShortcutInfo/superscript": {
"title": "$:/config/ShortcutInfo/superscript",
"text": "{{$:/language/Buttons/Superscript/Hint}}"
},
"$:/config/ShortcutInfo/toggle-sidebar": {
"title": "$:/config/ShortcutInfo/toggle-sidebar",
"text": "{{$:/language/Buttons/ToggleSidebar/Hint}}"
},
"$:/config/ShortcutInfo/underline": {
"title": "$:/config/ShortcutInfo/underline",
"text": "{{$:/language/Buttons/Underline/Hint}}"
},
"$:/config/SyncFilter": {
"title": "$:/config/SyncFilter",
"text": "[is[tiddler]] -[[$:/HistoryList]] -[[$:/Import]] -[[$:/isEncrypted]] -[prefix[$:/status/]] -[prefix[$:/state/]] -[prefix[$:/temp/]]"
},
"$:/config/Tags/MinLength": {
"title": "$:/config/Tags/MinLength",
"text": "0"
},
"$:/config/TextEditor/EditorHeight/Height": {
"title": "$:/config/TextEditor/EditorHeight/Height",
"text": "400px"
},
"$:/config/TextEditor/EditorHeight/Mode": {
"title": "$:/config/TextEditor/EditorHeight/Mode",
"text": "auto"
},
"$:/config/TiddlerInfo/Default": {
"title": "$:/config/TiddlerInfo/Default",
"text": "$:/core/ui/TiddlerInfo/Fields"
},
"$:/config/TiddlerInfo/Mode": {
"title": "$:/config/TiddlerInfo/Mode",
"text": "popup"
},
"$:/config/Tiddlers/TitleLinks": {
"title": "$:/config/Tiddlers/TitleLinks",
"text": "no"
},
"$:/config/Toolbar/ButtonClass": {
"title": "$:/config/Toolbar/ButtonClass",
"text": "tc-btn-invisible"
},
"$:/config/Toolbar/Icons": {
"title": "$:/config/Toolbar/Icons",
"text": "yes"
},
"$:/config/Toolbar/Text": {
"title": "$:/config/Toolbar/Text",
"text": "no"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/clone": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/clone",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/close-others": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/close-others",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/export-tiddler": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/export-tiddler",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/info": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/info",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/more-tiddler-actions": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/more-tiddler-actions",
"text": "show"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-here": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-here",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-journal-here": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-journal-here",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/open-window": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/open-window",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permalink": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permalink",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permaview": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permaview",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/delete": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/delete",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-others": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-others",
"text": "hide"
},
"$:/config/shortcuts-mac/bold": {
"title": "$:/config/shortcuts-mac/bold",
"text": "meta-B"
},
"$:/config/shortcuts-mac/italic": {
"title": "$:/config/shortcuts-mac/italic",
"text": "meta-I"
},
"$:/config/shortcuts-mac/underline": {
"title": "$:/config/shortcuts-mac/underline",
"text": "meta-U"
},
"$:/config/shortcuts-mac/new-image": {
"title": "$:/config/shortcuts-mac/new-image",
"text": "ctrl-I"
},
"$:/config/shortcuts-mac/new-journal": {
"title": "$:/config/shortcuts-mac/new-journal",
"text": "ctrl-J"
},
"$:/config/shortcuts-mac/new-tiddler": {
"title": "$:/config/shortcuts-mac/new-tiddler",
"text": "ctrl-N"
},
"$:/config/shortcuts-not-mac/bold": {
"title": "$:/config/shortcuts-not-mac/bold",
"text": "ctrl-B"
},
"$:/config/shortcuts-not-mac/italic": {
"title": "$:/config/shortcuts-not-mac/italic",
"text": "ctrl-I"
},
"$:/config/shortcuts-not-mac/underline": {
"title": "$:/config/shortcuts-not-mac/underline",
"text": "ctrl-U"
},
"$:/config/shortcuts-not-mac/new-image": {
"title": "$:/config/shortcuts-not-mac/new-image",
"text": "alt-I"
},
"$:/config/shortcuts-not-mac/new-journal": {
"title": "$:/config/shortcuts-not-mac/new-journal",
"text": "alt-J"
},
"$:/config/shortcuts-not-mac/new-tiddler": {
"title": "$:/config/shortcuts-not-mac/new-tiddler",
"text": "alt-N"
},
"$:/config/shortcuts/add-field": {
"title": "$:/config/shortcuts/add-field",
"text": "enter"
},
"$:/config/shortcuts/advanced-search": {
"title": "$:/config/shortcuts/advanced-search",
"text": "ctrl-shift-A"
},
"$:/config/shortcuts/cancel-edit-tiddler": {
"title": "$:/config/shortcuts/cancel-edit-tiddler",
"text": "escape"
},
"$:/config/shortcuts/excise": {
"title": "$:/config/shortcuts/excise",
"text": "ctrl-E"
},
"$:/config/shortcuts/sidebar-search": {
"title": "$:/config/shortcuts/sidebar-search",
"text": "ctrl-shift-F"
},
"$:/config/shortcuts/heading-1": {
"title": "$:/config/shortcuts/heading-1",
"text": "ctrl-1"
},
"$:/config/shortcuts/heading-2": {
"title": "$:/config/shortcuts/heading-2",
"text": "ctrl-2"
},
"$:/config/shortcuts/heading-3": {
"title": "$:/config/shortcuts/heading-3",
"text": "ctrl-3"
},
"$:/config/shortcuts/heading-4": {
"title": "$:/config/shortcuts/heading-4",
"text": "ctrl-4"
},
"$:/config/shortcuts/heading-5": {
"title": "$:/config/shortcuts/heading-5",
"text": "ctrl-5"
},
"$:/config/shortcuts/heading-6": {
"title": "$:/config/shortcuts/heading-6",
"text": "ctrl-6"
},
"$:/config/shortcuts/link": {
"title": "$:/config/shortcuts/link",
"text": "ctrl-L"
},
"$:/config/shortcuts/linkify": {
"title": "$:/config/shortcuts/linkify",
"text": "alt-shift-L"
},
"$:/config/shortcuts/list-bullet": {
"title": "$:/config/shortcuts/list-bullet",
"text": "ctrl-shift-L"
},
"$:/config/shortcuts/list-number": {
"title": "$:/config/shortcuts/list-number",
"text": "ctrl-shift-N"
},
"$:/config/shortcuts/mono-block": {
"title": "$:/config/shortcuts/mono-block",
"text": "ctrl-shift-M"
},
"$:/config/shortcuts/mono-line": {
"title": "$:/config/shortcuts/mono-line",
"text": "ctrl-M"
},
"$:/config/shortcuts/picture": {
"title": "$:/config/shortcuts/picture",
"text": "ctrl-shift-I"
},
"$:/config/shortcuts/preview": {
"title": "$:/config/shortcuts/preview",
"text": "alt-P"
},
"$:/config/shortcuts/quote": {
"title": "$:/config/shortcuts/quote",
"text": "ctrl-Q"
},
"$:/config/shortcuts/save-tiddler": {
"title": "$:/config/shortcuts/save-tiddler",
"text": "ctrl+enter"
},
"$:/config/shortcuts/stamp": {
"title": "$:/config/shortcuts/stamp",
"text": "ctrl-S"
},
"$:/config/shortcuts/strikethrough": {
"title": "$:/config/shortcuts/strikethrough",
"text": "ctrl-T"
},
"$:/config/shortcuts/subscript": {
"title": "$:/config/shortcuts/subscript",
"text": "ctrl-shift-B"
},
"$:/config/shortcuts/superscript": {
"title": "$:/config/shortcuts/superscript",
"text": "ctrl-shift-P"
},
"$:/config/shortcuts/toggle-sidebar": {
"title": "$:/config/shortcuts/toggle-sidebar",
"text": "alt-shift-S"
},
"$:/config/shortcuts/transcludify": {
"title": "$:/config/shortcuts/transcludify",
"text": "alt-shift-T"
},
"$:/config/ui/EditTemplate": {
"title": "$:/config/ui/EditTemplate",
"text": "$:/core/ui/EditTemplate"
},
"$:/config/ui/ViewTemplate": {
"title": "$:/config/ui/ViewTemplate",
"text": "$:/core/ui/ViewTemplate"
},
"$:/config/WikiParserRules/Inline/wikilink": {
"title": "$:/config/WikiParserRules/Inline/wikilink",
"text": "enable"
},
"$:/snippets/currpalettepreview": {
"title": "$:/snippets/currpalettepreview",
"text": "\\define swatchStyle()\nbackground-color: $(swatchColour)$;\n\\end\n\\define swatch()\n<$set name=\"swatchColour\" value={{##$(colour)$}}\n><div class=\"tc-swatch\" style=<<swatchStyle>> title=<<colour>>/></$set>\n\\end\n<div class=\"tc-swatches-horiz\"><$list filter=\"\nforeground\nbackground\nmuted-foreground\nprimary\npage-background\ntab-background\ntiddler-info-background\n\" variable=\"colour\"><<swatch>></$list></div>"
},
"$:/snippets/download-wiki-button": {
"title": "$:/snippets/download-wiki-button",
"text": "\\define lingo-base() $:/language/ControlPanel/Tools/Download/\n<$button class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-download-file\" $param=\"$:/core/save/all\" filename=\"index.html\"/>\n<<lingo Full/Caption>> {{$:/core/images/save-button}}\n</$button>"
},
"$:/language": {
"title": "$:/language",
"text": "$:/languages/en-GB"
},
"$:/snippets/languageswitcher": {
"title": "$:/snippets/languageswitcher",
"text": "\\define flag-title()\n$(languagePluginTitle)$/icon\n\\end\n\n<$linkcatcher to=\"$:/language\">\n<div class=\"tc-chooser tc-language-chooser\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[description]]\">\n<$set name=\"cls\" filter=\"[all[current]field:title{$:/language}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>>\n<$link>\n<span class=\"tc-image-button\">\n<$set name=\"languagePluginTitle\" value=<<currentTiddler>>>\n<$transclude subtiddler=<<flag-title>>>\n<$list filter=\"[all[current]field:title[$:/languages/en-GB]]\">\n<$transclude tiddler=\"$:/languages/en-GB/icon\"/>\n</$list>\n</$transclude>\n</$set>\n</span>\n<$view field=\"description\">\n<$view field=\"name\">\n<$view field=\"title\"/>\n</$view>\n</$view>\n</$link>\n</div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"
},
"$:/core/macros/CSS": {
"title": "$:/core/macros/CSS",
"tags": "$:/tags/Macro",
"text": "\\define colour(name)\n<$transclude tiddler={{$:/palette}} index=\"$name$\"><$transclude tiddler=\"$:/palettes/Vanilla\" index=\"$name$\"><$transclude tiddler=\"$:/config/DefaultColourMappings/$name$\"/></$transclude></$transclude>\n\\end\n\n\\define color(name)\n<<colour $name$>>\n\\end\n\n\\define box-shadow(shadow)\n``\n -webkit-box-shadow: $shadow$;\n -moz-box-shadow: $shadow$;\n box-shadow: $shadow$;\n``\n\\end\n\n\\define filter(filter)\n``\n -webkit-filter: $filter$;\n -moz-filter: $filter$;\n filter: $filter$;\n``\n\\end\n\n\\define transition(transition)\n``\n -webkit-transition: $transition$;\n -moz-transition: $transition$;\n transition: $transition$;\n``\n\\end\n\n\\define transform-origin(origin)\n``\n -webkit-transform-origin: $origin$;\n -moz-transform-origin: $origin$;\n transform-origin: $origin$;\n``\n\\end\n\n\\define background-linear-gradient(gradient)\n``\nbackground-image: linear-gradient($gradient$);\nbackground-image: -o-linear-gradient($gradient$);\nbackground-image: -moz-linear-gradient($gradient$);\nbackground-image: -webkit-linear-gradient($gradient$);\nbackground-image: -ms-linear-gradient($gradient$);\n``\n\\end\n\n\\define column-count(columns)\n``\n-moz-column-count: $columns$;\n-webkit-column-count: $columns$;\ncolumn-count: $columns$;\n``\n\\end\n\n\\define datauri(title)\n<$macrocall $name=\"makedatauri\" type={{$title$!!type}} text={{$title$}} _canonical_uri={{$title$!!_canonical_uri}}/>\n\\end\n\n\\define if-sidebar(text)\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\">$text$</$reveal>\n\\end\n\n\\define if-no-sidebar(text)\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"yes\" default=\"yes\">$text$</$reveal>\n\\end\n\n\\define if-background-attachment(text)\n<$reveal state=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\" type=\"nomatch\" text=\"\">$text$</$reveal>\n\\end\n"
},
"$:/core/macros/colour-picker": {
"title": "$:/core/macros/colour-picker",
"tags": "$:/tags/Macro",
"text": "\\define colour-picker-update-recent()\n<$action-listops\n\t$tiddler=\"$:/config/ColourPicker/Recent\"\n\t$subfilter=\"$(colour-picker-value)$ [list[$:/config/ColourPicker/Recent]remove[$(colour-picker-value)$]] +[limit[8]]\"\n/>\n\\end\n\n\\define colour-picker-inner(actions)\n<$button tag=\"a\" tooltip=\"\"\"$(colour-picker-value)$\"\"\">\n\n$(colour-picker-update-recent)$\n\n$actions$\n\n<span style=\"display:inline-block; background-color: $(colour-picker-value)$; width: 100%; height: 100%; border-radius: 50%;\"/>\n\n</$button>\n\\end\n\n\\define colour-picker-recent-inner(actions)\n<$set name=\"colour-picker-value\" value=\"$(recentColour)$\">\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$set>\n\\end\n\n\\define colour-picker-recent(actions)\n{{$:/language/ColourPicker/Recent}} <$list filter=\"[list[$:/config/ColourPicker/Recent]]\" variable=\"recentColour\">\n<$macrocall $name=\"colour-picker-recent-inner\" actions=\"\"\"$actions$\"\"\"/></$list>\n\\end\n\n\\define colour-picker(actions)\n<div class=\"tc-colour-chooser\">\n\n<$macrocall $name=\"colour-picker-recent\" actions=\"\"\"$actions$\"\"\"/>\n\n---\n\n<$list filter=\"LightPink Pink Crimson LavenderBlush PaleVioletRed HotPink DeepPink MediumVioletRed Orchid Thistle Plum Violet Magenta Fuchsia DarkMagenta Purple MediumOrchid DarkViolet DarkOrchid Indigo BlueViolet MediumPurple MediumSlateBlue SlateBlue DarkSlateBlue Lavender GhostWhite Blue MediumBlue MidnightBlue DarkBlue Navy RoyalBlue CornflowerBlue LightSteelBlue LightSlateGrey SlateGrey DodgerBlue AliceBlue SteelBlue LightSkyBlue SkyBlue DeepSkyBlue LightBlue PowderBlue CadetBlue Azure LightCyan PaleTurquoise Cyan Aqua DarkTurquoise DarkSlateGrey DarkCyan Teal MediumTurquoise LightSeaGreen Turquoise Aquamarine MediumAquamarine MediumSpringGreen MintCream SpringGreen MediumSeaGreen SeaGreen Honeydew LightGreen PaleGreen DarkSeaGreen LimeGreen Lime ForestGreen Green DarkGreen Chartreuse LawnGreen GreenYellow DarkOliveGreen YellowGreen OliveDrab Beige LightGoldenrodYellow Ivory LightYellow Yellow Olive DarkKhaki LemonChiffon PaleGoldenrod Khaki Gold Cornsilk Goldenrod DarkGoldenrod FloralWhite OldLace Wheat Moccasin Orange PapayaWhip BlanchedAlmond NavajoWhite AntiqueWhite Tan BurlyWood Bisque DarkOrange Linen Peru PeachPuff SandyBrown Chocolate SaddleBrown Seashell Sienna LightSalmon Coral OrangeRed DarkSalmon Tomato MistyRose Salmon Snow LightCoral RosyBrown IndianRed Red Brown FireBrick DarkRed Maroon White WhiteSmoke Gainsboro LightGrey Silver DarkGrey Grey DimGrey Black\" variable=\"colour-picker-value\">\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$list>\n\n---\n\n<$edit-text tiddler=\"$:/config/ColourPicker/New\" tag=\"input\" default=\"\" placeholder=\"\"/>\n<$edit-text tiddler=\"$:/config/ColourPicker/New\" type=\"color\" tag=\"input\"/>\n<$set name=\"colour-picker-value\" value={{$:/config/ColourPicker/New}}>\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$set>\n\n</div>\n\n\\end\n"
},
"$:/core/macros/copy-to-clipboard": {
"title": "$:/core/macros/copy-to-clipboard",
"tags": "$:/tags/Macro",
"text": "\\define copy-to-clipboard(src,class:\"tc-btn-invisible\",style)\n<$button class=<<__class__>> style=<<__style__>> message=\"tm-copy-to-clipboard\" param=<<__src__>> tooltip={{$:/language/Buttons/CopyToClipboard/Hint}}>\n{{$:/core/images/copy-clipboard}} <$text text={{$:/language/Buttons/CopyToClipboard/Caption}}/>\n</$button>\n\\end\n\n\\define copy-to-clipboard-above-right(src,class:\"tc-btn-invisible\",style)\n<div style=\"position: relative;\">\n<div style=\"position: absolute; bottom: 0; right: 0;\">\n<$macrocall $name=\"copy-to-clipboard\" src=<<__src__>> class=<<__class__>> style=<<__style__>>/>\n</div>\n</div>\n\\end\n\n"
},
"$:/core/macros/diff": {
"title": "$:/core/macros/diff",
"tags": "$:/tags/Macro",
"text": "\\define compareTiddlerText(sourceTiddlerTitle,sourceSubTiddlerTitle,destTiddlerTitle,destSubTiddlerTitle)\n<$set name=\"source\" tiddler=<<__sourceTiddlerTitle__>> subtiddler=<<__sourceSubTiddlerTitle__>>>\n<$set name=\"dest\" tiddler=<<__destTiddlerTitle__>> subtiddler=<<__destSubTiddlerTitle__>>>\n<$diff-text source=<<source>> dest=<<dest>>/>\n</$set>\n</$set>\n\\end\n\n\\define compareTiddlers(sourceTiddlerTitle,sourceSubTiddlerTitle,destTiddlerTitle,destSubTiddlerTitle,exclude)\n<table class=\"tc-diff-tiddlers\">\n<tbody>\n<$set name=\"sourceFields\" filter=\"[<__sourceTiddlerTitle__>fields[]sort[]]\">\n<$set name=\"destFields\" filter=\"[<__destSubTiddlerTitle__>subtiddlerfields<__destTiddlerTitle__>sort[]]\">\n<$list filter=\"[enlist<sourceFields>] [enlist<destFields>] -[enlist<__exclude__>] +[sort[]]\" variable=\"fieldName\">\n<tr>\n<th>\n<$text text=<<fieldName>>/> \n</th>\n<td>\n<$set name=\"source\" tiddler=<<__sourceTiddlerTitle__>> subtiddler=<<__sourceSubTiddlerTitle__>> field=<<fieldName>>>\n<$set name=\"dest\" tiddler=<<__destTiddlerTitle__>> subtiddler=<<__destSubTiddlerTitle__>> field=<<fieldName>>>\n<$diff-text source=<<source>> dest=<<dest>>>\n</$diff-text>\n</$set>\n</$set>\n</td>\n</tr>\n</$list>\n</$set>\n</$set>\n</tbody>\n</table>\n\\end\n"
},
"$:/core/macros/dumpvariables": {
"title": "$:/core/macros/dumpvariables",
"tags": "$:/tags/Macro",
"text": "\\define dumpvariables()\n<ul>\n<$list filter=\"[variables[]]\" variable=\"varname\">\n<li>\n<strong><code><$text text=<<varname>>/></code></strong>:<br/>\n<$codeblock code={{{ [<varname>getvariable[]] }}}/>\n</li>\n</$list>\n</ul>\n\\end\n"
},
"$:/core/macros/export": {
"title": "$:/core/macros/export",
"tags": "$:/tags/Macro",
"text": "\\define exportButtonFilename(baseFilename)\n$baseFilename$$(extension)$\n\\end\n\n\\define exportButton(exportFilter:\"[!is[system]sort[title]]\",lingoBase,baseFilename:\"tiddlers\")\n<span class=\"tc-popup-keep\"><$button popup=<<qualify \"$:/state/popup/export\">> tooltip={{$lingoBase$Hint}} aria-label={{$lingoBase$Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/export-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$lingoBase$Caption}}/></span>\n</$list>\n</$button></span><$reveal state=<<qualify \"$:/state/popup/export\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Exporter]]\">\n<$set name=\"extension\" value={{!!extension}}>\n<$button class=\"tc-btn-invisible\">\n<$action-sendmessage $message=\"tm-download-file\" $param=<<currentTiddler>> exportFilter=\"\"\"$exportFilter$\"\"\" filename=<<exportButtonFilename \"\"\"$baseFilename$\"\"\">>/>\n<$action-deletetiddler $tiddler=<<qualify \"$:/state/popup/export\">>/>\n<$transclude field=\"description\"/>\n</$button>\n</$set>\n</$list>\n</div>\n</$reveal>\n\\end\n"
},
"$:/core/macros/image-picker": {
"title": "$:/core/macros/image-picker",
"created": "20170715180840889",
"modified": "20170715180914005",
"tags": "$:/tags/Macro",
"type": "text/vnd.tiddlywiki",
"text": "\\define image-picker-thumbnail(actions)\n<$button tag=\"a\" tooltip=\"\"\"$(imageTitle)$\"\"\">\n$actions$\n<$transclude tiddler=<<imageTitle>>/>\n</$button>\n\\end\n\n\\define image-picker-list(filter,actions)\n<$list filter=\"\"\"$filter$\"\"\" variable=\"imageTitle\">\n<$macrocall $name=\"image-picker-thumbnail\" actions=\"\"\"$actions$\"\"\"/>\n</$list>\n\\end\n\n\\define image-picker(actions,filter:\"[all[shadows+tiddlers]is[image]] -[type[application/pdf]] +[!has[draft.of]$subfilter$sort[title]]\",subfilter:\"\")\n<div class=\"tc-image-chooser\">\n<$vars state-system=<<qualify \"$:/state/image-picker/system\">>>\n<$checkbox tiddler=<<state-system>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"hide\">\n{{$:/language/SystemTiddlers/Include/Prompt}}\n</$checkbox>\n<$reveal state=<<state-system>> type=\"match\" text=\"hide\" default=\"hide\" tag=\"div\">\n<$macrocall $name=\"image-picker-list\" filter=\"\"\"$filter$ +[!is[system]]\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</$reveal>\n<$reveal state=<<state-system>> type=\"nomatch\" text=\"hide\" default=\"hide\" tag=\"div\">\n<$macrocall $name=\"image-picker-list\" filter=\"\"\"$filter$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</$reveal>\n</$vars>\n</div>\n\\end\n\n\\define image-picker-include-tagged-images(actions)\n<$macrocall $name=\"image-picker\" filter=\"[all[shadows+tiddlers]is[image]] [all[shadows+tiddlers]tag[$:/tags/Image]] -[type[application/pdf]] +[!has[draft.of]sort[title]]\" actions=\"\"\"$actions$\"\"\"/>\n\\end\n"
},
"$:/core/macros/lingo": {
"title": "$:/core/macros/lingo",
"tags": "$:/tags/Macro",
"text": "\\define lingo-base()\n$:/language/\n\\end\n\n\\define lingo(title)\n{{$(lingo-base)$$title$}}\n\\end\n"
},
"$:/core/macros/list": {
"title": "$:/core/macros/list",
"tags": "$:/tags/Macro",
"text": "\\define list-links(filter,type:\"ul\",subtype:\"li\",class:\"\",emptyMessage)\n\\whitespace trim\n<$type$ class=\"$class$\">\n<$list filter=\"$filter$\" emptyMessage=<<__emptyMessage__>>>\n<$subtype$>\n<$link to={{!!title}}>\n<$transclude field=\"caption\">\n<$view field=\"title\"/>\n</$transclude>\n</$link>\n</$subtype$>\n</$list>\n</$type$>\n\\end\n\n\\define list-links-draggable-drop-actions()\n<$action-listops $tiddler=<<targetTiddler>> $field=<<targetField>> $subfilter=\"+[insertbefore:currentTiddler<actionTiddler>]\"/>\n\\end\n\n\\define list-links-draggable(tiddler,field:\"list\",type:\"ul\",subtype:\"li\",class:\"\",itemTemplate)\n\\whitespace trim\n<span class=\"tc-links-draggable-list\">\n<$vars targetTiddler=\"\"\"$tiddler$\"\"\" targetField=\"\"\"$field$\"\"\">\n<$type$ class=\"$class$\">\n<$list filter=\"[list[$tiddler$!!$field$]]\">\n<$droppable actions=<<list-links-draggable-drop-actions>> tag=\"\"\"$subtype$\"\"\" enable=<<tv-enable-drag-and-drop>>>\n<div class=\"tc-droppable-placeholder\"/>\n<div>\n<$transclude tiddler=\"\"\"$itemTemplate$\"\"\">\n<$link to={{!!title}}>\n<$transclude field=\"caption\">\n<$view field=\"title\"/>\n</$transclude>\n</$link>\n</$transclude>\n</div>\n</$droppable>\n</$list>\n</$type$>\n<$tiddler tiddler=\"\">\n<$droppable actions=<<list-links-draggable-drop-actions>> tag=\"div\" enable=<<tv-enable-drag-and-drop>>>\n<div class=\"tc-droppable-placeholder\">\n \n</div>\n<div style=\"height:0.5em;\"/>\n</$droppable>\n</$tiddler>\n</$vars>\n</span>\n\\end\n\n\\define list-tagged-draggable-drop-actions(tag)\n<!-- Save the current ordering of the tiddlers with this tag -->\n<$set name=\"order\" filter=\"[<__tag__>tagging[]]\">\n<!-- Remove any list-after or list-before fields from the tiddlers with this tag -->\n<$list filter=\"[<__tag__>tagging[]]\">\n<$action-deletefield $field=\"list-before\"/>\n<$action-deletefield $field=\"list-after\"/>\n</$list>\n<!-- Save the new order to the Tag Tiddler -->\n<$action-listops $tiddler=<<__tag__>> $field=\"list\" $filter=\"+[enlist<order>] +[insertbefore:currentTiddler<actionTiddler>]\"/>\n<!-- Make sure the newly added item has the right tag -->\n<!-- Removing this line makes dragging tags within the dropdown work as intended -->\n<!--<$action-listops $tiddler=<<actionTiddler>> $tags=<<__tag__>>/>-->\n<!-- Using the following 5 lines as replacement makes dragging titles from outside into the dropdown apply the tag -->\n<$list filter=\"[<actionTiddler>!contains:tags<__tag__>]\">\n<$fieldmangler tiddler=<<actionTiddler>>>\n<$action-sendmessage $message=\"tm-add-tag\" $param=<<__tag__>>/>\n</$fieldmangler>\n</$list>\n</$set>\n\\end\n\n\\define list-tagged-draggable(tag,subFilter,emptyMessage,itemTemplate,elementTag:\"div\",storyview:\"\")\n\\whitespace trim\n<span class=\"tc-tagged-draggable-list\">\n<$set name=\"tag\" value=<<__tag__>>>\n<$list filter=\"[<__tag__>tagging[]$subFilter$]\" emptyMessage=<<__emptyMessage__>> storyview=<<__storyview__>>>\n<$elementTag$ class=\"tc-menu-list-item\">\n<$droppable actions=\"\"\"<$macrocall $name=\"list-tagged-draggable-drop-actions\" tag=<<__tag__>>/>\"\"\" enable=<<tv-enable-drag-and-drop>>>\n<$elementTag$ class=\"tc-droppable-placeholder\"/>\n<$elementTag$>\n<$transclude tiddler=\"\"\"$itemTemplate$\"\"\">\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</$transclude>\n</$elementTag$>\n</$droppable>\n</$elementTag$>\n</$list>\n<$tiddler tiddler=\"\">\n<$droppable actions=\"\"\"<$macrocall $name=\"list-tagged-draggable-drop-actions\" tag=<<__tag__>>/>\"\"\" enable=<<tv-enable-drag-and-drop>>>\n<$elementTag$ class=\"tc-droppable-placeholder\"/>\n<$elementTag$ style=\"height:0.5em;\">\n</$elementTag$>\n</$droppable>\n</$tiddler>\n</$set>\n</span>\n\\end\n"
},
"$:/core/macros/tabs": {
"title": "$:/core/macros/tabs",
"tags": "$:/tags/Macro",
"text": "\\define tabs(tabsList,default,state:\"$:/state/tab\",class,template,buttonTemplate,retain)\n<div class=\"tc-tab-set $class$\">\n<div class=\"tc-tab-buttons $class$\">\n<$list filter=\"$tabsList$\" variable=\"currentTab\" storyview=\"pop\"><$set name=\"save-currentTiddler\" value=<<currentTiddler>>><$tiddler tiddler=<<currentTab>>><$button set=<<qualify \"$state$\">> setTo=<<currentTab>> default=\"$default$\" selectedClass=\"tc-tab-selected\" tooltip={{!!tooltip}}>\n<$tiddler tiddler=<<save-currentTiddler>>>\n<$set name=\"tv-wikilinks\" value=\"no\">\n<$transclude tiddler=\"$buttonTemplate$\" mode=\"inline\">\n<$transclude tiddler=<<currentTab>> field=\"caption\">\n<$macrocall $name=\"currentTab\" $type=\"text/plain\" $output=\"text/plain\"/>\n</$transclude>\n</$transclude>\n</$set></$tiddler></$button></$tiddler></$set></$list>\n</div>\n<div class=\"tc-tab-divider $class$\"/>\n<div class=\"tc-tab-content $class$\">\n<$list filter=\"$tabsList$\" variable=\"currentTab\">\n\n<$reveal type=\"match\" state=<<qualify \"$state$\">> text=<<currentTab>> default=\"$default$\" retain=\"\"\"$retain$\"\"\">\n\n<$transclude tiddler=\"$template$\" mode=\"block\">\n\n<$transclude tiddler=<<currentTab>> mode=\"block\"/>\n\n</$transclude>\n\n</$reveal>\n\n</$list>\n</div>\n</div>\n\\end\n"
},
"$:/core/macros/tag-picker": {
"title": "$:/core/macros/tag-picker",
"tags": "$:/tags/Macro",
"text": "\\define add-tag-actions()\n<$action-sendmessage $message=\"tm-add-tag\" $param={{{ [<newTagNameTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newTagNameTiddler>>/>\n\\end\n\n\\define tag-button()\n<$button class=\"tc-btn-invisible\" tag=\"a\" tooltip={{$:/language/EditTemplate/Tags/Add/Button/Hint}}>\n<$action-sendmessage $message=\"tm-add-tag\" $param=<<tag>>/>\n<$action-deletetiddler $tiddler=<<newTagNameTiddler>>/>\n<$macrocall $name=\"tag-pill\" tag=<<tag>>/>\n</$button>\n\\end\n\n\\define tag-picker-inner()\n\\whitespace trim\n<div class=\"tc-edit-add-tag\">\n<span class=\"tc-add-tag-name\">\n<$keyboard key=\"ENTER\" actions=<<add-tag-actions>>>\n<$edit-text tiddler=<<newTagNameTiddler>> tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Tags/Add/Placeholder}} focusPopup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-edit-texteditor tc-popup-handle\" tabindex=<<tabIndex>> focus={{{ [{$:/config/AutoFocus}match[tags]then[true]] ~[[false]] }}}/>\n</$keyboard>\n</span> <$button popup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-btn-invisible\" tooltip={{$:/language/EditTemplate/Tags/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Tags/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button> <span class=\"tc-add-tag-button\">\n<$set name=\"tag\" value={{{ [<newTagNameTiddler>get[text]] }}}>\n<$button set=\"$:/temp/NewTagName\" setTo=\"\" class=\"\">\n<<add-tag-actions>>\n<$action-deletetiddler $tiddler=<<newTagNameTiddler>>/>\n{{$:/language/EditTemplate/Tags/Add/Button}}\n</$button>\n</$set>\n</span>\n</div>\n<div class=\"tc-block-dropdown-wrapper\">\n<$reveal state=<<qualify \"$:/state/popup/tags-auto-complete\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown\">\n<$set name=\"newTagName\" value={{{ [<newTagNameTiddler>get[text]] }}}>\n<$list filter=\"[<newTagName>minlength{$:/config/Tags/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$list filter=\"[tags[]!is[system]search:title<newTagName>sort[]]\" variable=\"tag\">\n<<tag-button>>\n</$list></$list>\n<hr>\n<$list filter=\"[<newTagName>minlength{$:/config/Tags/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$list filter=\"[tags[]is[system]search:title<newTagName>sort[]]\" variable=\"tag\">\n<<tag-button>>\n</$list></$list>\n</$set>\n</div>\n</$reveal>\n</div>\n\\end\n\\define tag-picker()\n\\whitespace trim\n<$list filter=\"[<newTagNameTiddler>match[]]\" emptyMessage=<<tag-picker-inner>>>\n<$set name=\"newTagNameTiddler\" value=<<qualify \"$:/temp/NewTagName\">>>\n<<tag-picker-inner>>\n</$set>\n</$list>\n\\end\n"
},
"$:/core/macros/tag": {
"title": "$:/core/macros/tag",
"tags": "$:/tags/Macro",
"text": "\\define tag-pill-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-pill-inner(tag,icon,colour,fallbackTarget,colourA,colourB,element-tag,element-attributes,actions)\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<$element-tag$ $element-attributes$ class=\"tc-tag-label tc-btn-invisible\" style=<<tag-pill-styles>>>\n$actions$<$transclude tiddler=\"\"\"$icon$\"\"\"/><$view tiddler=<<__tag__>> field=\"title\" format=\"text\" />\n</$element-tag$>\n</$vars>\n\\end\n\n\\define tag-pill-body(tag,icon,colour,palette,element-tag,element-attributes,actions)\n<$macrocall $name=\"tag-pill-inner\" tag=<<__tag__>> icon=\"\"\"$icon$\"\"\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}} element-tag=\"\"\"$element-tag$\"\"\" element-attributes=\"\"\"$element-attributes$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n\\end\n\n\\define tag-pill(tag,element-tag:\"span\",element-attributes:\"\",actions:\"\")\n<span class=\"tc-tag-list-item\">\n<$macrocall $name=\"tag-pill-body\" tag=<<__tag__>> icon={{{ [<__tag__>get[icon]] }}} colour={{{ [<__tag__>get[color]] }}} palette={{$:/palette}} element-tag=\"\"\"$element-tag$\"\"\" element-attributes=\"\"\"$element-attributes$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</span>\n\\end\n\n\\define tag(tag)\n{{$tag$||$:/core/ui/TagTemplate}}\n\\end\n"
},
"$:/core/macros/thumbnails": {
"title": "$:/core/macros/thumbnails",
"tags": "$:/tags/Macro",
"text": "\\define thumbnail(link,icon,color,background-color,image,caption,width:\"280\",height:\"157\")\n<$link to=\"\"\"$link$\"\"\"><div class=\"tc-thumbnail-wrapper\">\n<div class=\"tc-thumbnail-image\" style=\"width:$width$px;height:$height$px;\"><$reveal type=\"nomatch\" text=\"\" default=\"\"\"$image$\"\"\" tag=\"div\" style=\"width:$width$px;height:$height$px;\">\n[img[$image$]]\n</$reveal><$reveal type=\"match\" text=\"\" default=\"\"\"$image$\"\"\" tag=\"div\" class=\"tc-thumbnail-background\" style=\"width:$width$px;height:$height$px;background-color:$background-color$;\"></$reveal></div><div class=\"tc-thumbnail-icon\" style=\"fill:$color$;color:$color$;\">\n$icon$\n</div><div class=\"tc-thumbnail-caption\">\n$caption$\n</div>\n</div></$link>\n\\end\n\n\\define thumbnail-right(link,icon,color,background-color,image,caption,width:\"280\",height:\"157\")\n<div class=\"tc-thumbnail-right-wrapper\"><<thumbnail \"\"\"$link$\"\"\" \"\"\"$icon$\"\"\" \"\"\"$color$\"\"\" \"\"\"$background-color$\"\"\" \"\"\"$image$\"\"\" \"\"\"$caption$\"\"\" \"\"\"$width$\"\"\" \"\"\"$height$\"\"\">></div>\n\\end\n\n\\define list-thumbnails(filter,width:\"280\",height:\"157\")\n<$list filter=\"\"\"$filter$\"\"\"><$macrocall $name=\"thumbnail\" link={{!!link}} icon={{!!icon}} color={{!!color}} background-color={{!!background-color}} image={{!!image}} caption={{!!caption}} width=\"\"\"$width$\"\"\" height=\"\"\"$height$\"\"\"/></$list>\n\\end\n"
},
"$:/core/macros/timeline": {
"title": "$:/core/macros/timeline",
"created": "20141212105914482",
"modified": "20141212110330815",
"tags": "$:/tags/Macro",
"text": "\\define timeline-title()\n\\whitespace trim\n<!-- Override this macro with a global macro \n of the same name if you need to change \n how titles are displayed on the timeline \n -->\n<$view field=\"title\"/>\n\\end\n\\define timeline(limit:\"100\",format:\"DDth MMM YYYY\",subfilter:\"\",dateField:\"modified\")\n<div class=\"tc-timeline\">\n<$list filter=\"[!is[system]$subfilter$has[$dateField$]!sort[$dateField$]limit[$limit$]eachday[$dateField$]]\">\n<div class=\"tc-menu-list-item\">\n<$view field=\"$dateField$\" format=\"date\" template=\"$format$\"/>\n<$list filter=\"[sameday:$dateField${!!$dateField$}!is[system]$subfilter$!sort[$dateField$]]\">\n<div class=\"tc-menu-list-subitem\">\n<$link to={{!!title}}><<timeline-title>></$link>\n</div>\n</$list>\n</div>\n</$list>\n</div>\n\\end\n"
},
"$:/core/macros/toc": {
"title": "$:/core/macros/toc",
"tags": "$:/tags/Macro",
"text": "\\define toc-caption()\n<$set name=\"tv-wikilinks\" value=\"no\">\n <$transclude field=\"caption\">\n <$view field=\"title\"/>\n </$transclude>\n</$set>\n\\end\n\n\\define toc-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<ol class=\"tc-toc\">\n <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[enlist<__exclude__>]\"\"\">\n <$vars item=<<currentTiddler>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n <$set name=\"excluded\" filter=\"\"\"[enlist<__exclude__>] [<__tag__>]\"\"\">\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n <li class=<<toc-item-class>>>\n <$list filter=\"[all[current]toc-link[no]]\" emptyMessage=\"<$link><$view field='caption'><$view field='title'/></$view></$link>\">\n <<toc-caption>>\n </$list>\n <$macrocall $name=\"toc-body\" tag=<<item>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<excluded>> path=<<path>>/>\n </li>\n </$set>\n </$set>\n </$vars>\n </$list>\n</ol>\n\\end\n\n\\define toc(tag,sort:\"\",itemClassFilter:\"\")\n<$macrocall $name=\"toc-body\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> />\n\\end\n\n\\define toc-linked-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<!-- helper function -->\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n <li class=<<toc-item-class>>>\n <$link>\n <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/right-arrow}}\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/down-arrow}}\n </$button>\n </$reveal>\n <<toc-caption>>\n </$link>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n </$reveal>\n </li>\n </$set>\n</$qualify>\n\\end\n\n\\define toc-unlinked-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<!-- helper function -->\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n <li class=<<toc-item-class>>>\n <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/right-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/down-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n </$reveal>\n </li>\n </$set>\n</$qualify>\n\\end\n\n\\define toc-expandable-empty-message()\n<$macrocall $name=\"toc-linked-expandable-body\" tag=<<tag>> sort=<<sort>> itemClassFilter=<<itemClassFilter>> exclude=<<excluded>> path=<<path>>/>\n\\end\n\n\\define toc-expandable(tag,sort:\"\",itemClassFilter:\"\",exclude,path)\n<$vars tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n <$set name=\"excluded\" filter=\"\"\"[enlist<__exclude__>] [<__tag__>]\"\"\">\n <ol class=\"tc-toc toc-expandable\">\n <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[enlist<__exclude__>]\"\"\">\n <$list filter=\"[all[current]toc-link[no]]\" emptyMessage=<<toc-expandable-empty-message>> >\n <$macrocall $name=\"toc-unlinked-expandable-body\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=\"\"\"itemClassFilter\"\"\" exclude=<<excluded>> path=<<path>> />\n </$list>\n </$list>\n </ol>\n </$set>\n</$vars>\n\\end\n\n\\define toc-linked-selective-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\" >\n <li class=<<toc-item-class>>>\n <$link>\n <$list filter=\"[all[current]tagging[]$sort$limit[1]]\" variable=\"ignore\" emptyMessage=\"<$button class='tc-btn-invisible'>{{$:/core/images/blank}}</$button>\">\n <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/right-arrow}}\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/down-arrow}}\n </$button>\n </$reveal>\n </$list>\n <<toc-caption>>\n </$link>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-selective-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n </$reveal>\n </li>\n </$set>\n</$qualify>\n\\end\n\n\\define toc-unlinked-selective-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n <li class=<<toc-item-class>>>\n <$list filter=\"[all[current]tagging[]$sort$limit[1]]\" variable=\"ignore\" emptyMessage=\"<$button class='tc-btn-invisible'>{{$:/core/images/blank}}</$button> <$view field='caption'><$view field='title'/></$view>\">\n <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/right-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/down-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n </$list>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-selective-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n </$reveal>\n </li>\n </$set>\n</$qualify>\n\\end\n\n\\define toc-selective-expandable-empty-message()\n<$macrocall $name=\"toc-linked-selective-expandable-body\" tag=<<tag>> sort=<<sort>> itemClassFilter=<<itemClassFilter>> exclude=<<excluded>> path=<<path>>/>\n\\end\n\n\\define toc-selective-expandable(tag,sort:\"\",itemClassFilter,exclude,path)\n<$vars tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n <$set name=\"excluded\" filter=\"\"\"[enlist<__exclude__>] [<__tag__>]\"\"\">\n <ol class=\"tc-toc toc-selective-expandable\">\n <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[enlist<__exclude__>]\"\"\">\n <$list filter=\"[all[current]toc-link[no]]\" variable=\"ignore\" emptyMessage=<<toc-selective-expandable-empty-message>> >\n <$macrocall $name=\"toc-unlinked-selective-expandable-body\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<excluded>> path=<<path>>/>\n </$list>\n </$list>\n </ol>\n </$set>\n</$vars>\n\\end\n\n\\define toc-tabbed-external-nav(tag,sort:\"\",selectedTiddler:\"$:/temp/toc/selectedTiddler\",unselectedText,missingText,template:\"\")\n<$tiddler tiddler={{{ [<__selectedTiddler__>get[text]] }}}>\n <div class=\"tc-tabbed-table-of-contents\">\n <$linkcatcher to=<<__selectedTiddler__>>>\n <div class=\"tc-table-of-contents\">\n <$macrocall $name=\"toc-selective-expandable\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=\"[all[current]] -[<__selectedTiddler__>get[text]]\"/>\n </div>\n </$linkcatcher>\n <div class=\"tc-tabbed-table-of-contents-content\">\n <$reveal stateTitle=<<__selectedTiddler__>> type=\"nomatch\" text=\"\">\n <$transclude mode=\"block\" tiddler=<<__template__>>>\n <h1><<toc-caption>></h1>\n <$transclude mode=\"block\">$missingText$</$transclude>\n </$transclude>\n </$reveal>\n <$reveal stateTitle=<<__selectedTiddler__>> type=\"match\" text=\"\">\n $unselectedText$\n </$reveal>\n </div>\n </div>\n</$tiddler>\n\\end\n\n\\define toc-tabbed-internal-nav(tag,sort:\"\",selectedTiddler:\"$:/temp/toc/selectedTiddler\",unselectedText,missingText,template:\"\")\n<$linkcatcher to=<<__selectedTiddler__>>>\n <$macrocall $name=\"toc-tabbed-external-nav\" tag=<<__tag__>> sort=<<__sort__>> selectedTiddler=<<__selectedTiddler__>> unselectedText=<<__unselectedText__>> missingText=<<__missingText__>> template=<<__template__>>/>\n</$linkcatcher>\n\\end\n\n"
},
"$:/core/macros/translink": {
"title": "$:/core/macros/translink",
"tags": "$:/tags/Macro",
"text": "\\define translink(title,mode:\"block\")\n<div style=\"border:1px solid #ccc; padding: 0.5em; background: black; foreground; white;\">\n<$link to=\"\"\"$title$\"\"\">\n<$text text=\"\"\"$title$\"\"\"/>\n</$link>\n<div style=\"border:1px solid #ccc; padding: 0.5em; background: white; foreground; black;\">\n<$transclude tiddler=\"\"\"$title$\"\"\" mode=\"$mode$\">\n\"<$text text=\"\"\"$title$\"\"\"/>\" is missing\n</$transclude>\n</div>\n</div>\n\\end\n"
},
"$:/core/macros/tree": {
"title": "$:/core/macros/tree",
"tags": "$:/tags/Macro",
"text": "\\define leaf-link(full-title,chunk,separator: \"/\")\n<$link to=<<__full-title__>>><$text text=<<__chunk__>>/></$link>\n\\end\n\n\\define leaf-node(prefix,chunk)\n<li>\n<$list filter=\"[<__prefix__>addsuffix<__chunk__>is[shadow]] [<__prefix__>addsuffix<__chunk__>is[tiddler]]\" variable=\"full-title\">\n<$list filter=\"[<full-title>removeprefix<__prefix__>]\" variable=\"chunk\">\n<span>{{$:/core/images/file}}</span> <$macrocall $name=\"leaf-link\" full-title=<<full-title>> chunk=<<chunk>>/>\n</$list>\n</$list>\n</li>\n\\end\n\n\\define branch-node(prefix,chunk,separator: \"/\")\n<li>\n<$set name=\"reveal-state\" value={{{ [[$:/state/tree/]addsuffix<__prefix__>addsuffix<__chunk__>] }}}>\n<$reveal type=\"nomatch\" stateTitle=<<reveal-state>> text=\"show\">\n<$button setTitle=<<reveal-state>> setTo=\"show\" class=\"tc-btn-invisible\">\n{{$:/core/images/folder}} <$text text=<<__chunk__>>/>\n</$button>\n</$reveal>\n<$reveal type=\"match\" stateTitle=<<reveal-state>> text=\"show\">\n<$button setTitle=<<reveal-state>> setTo=\"hide\" class=\"tc-btn-invisible\">\n{{$:/core/images/folder}} <$text text=<<__chunk__>>/>\n</$button>\n</$reveal>\n<span>(<$count filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>removeprefix<__chunk__>] -[<__prefix__>addsuffix<__chunk__>]\"/>)</span>\n<$reveal type=\"match\" stateTitle=<<reveal-state>> text=\"show\">\n<$macrocall $name=\"tree-node\" prefix={{{ [<__prefix__>addsuffix<__chunk__>] }}} separator=<<__separator__>>/>\n</$reveal>\n</$set>\n</li>\n\\end\n\n\\define tree-node(prefix,separator: \"/\")\n<ol>\n<$list filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>splitbefore<__separator__>sort[]!suffix<__separator__>]\" variable=\"chunk\">\n<$macrocall $name=\"leaf-node\" prefix=<<__prefix__>> chunk=<<chunk>> separator=<<__separator__>>/>\n</$list>\n<$list filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>splitbefore<__separator__>sort[]suffix<__separator__>]\" variable=\"chunk\">\n<$macrocall $name=\"branch-node\" prefix=<<__prefix__>> chunk=<<chunk>> separator=<<__separator__>>/>\n</$list>\n</ol>\n\\end\n\n\\define tree(prefix: \"$:/\",separator: \"/\")\n<div class=\"tc-tree\">\n<span><$text text=<<__prefix__>>/></span>\n<div>\n<$macrocall $name=\"tree-node\" prefix=<<__prefix__>> separator=<<__separator__>>/>\n</div>\n</div>\n\\end\n"
},
"$:/core/macros/utils": {
"title": "$:/core/macros/utils",
"text": "\\define colour(colour)\n$colour$\n\\end\n"
},
"$:/snippets/minifocusswitcher": {
"title": "$:/snippets/minifocusswitcher",
"text": "<$select tiddler=\"$:/config/AutoFocus\">\n<$list filter=\"title tags text type fields\">\n<option value=<<currentTiddler>>><<currentTiddler>></option>\n</$list>\n</$select>\n"
},
"$:/snippets/minilanguageswitcher": {
"title": "$:/snippets/minilanguageswitcher",
"text": "<$select tiddler=\"$:/language\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[title]]\">\n<option value=<<currentTiddler>>><$view field=\"description\"><$view field=\"name\"><$view field=\"title\"/></$view></$view></option>\n</$list>\n</$select>"
},
"$:/snippets/minithemeswitcher": {
"title": "$:/snippets/minithemeswitcher",
"text": "\\define lingo-base() $:/language/ControlPanel/Theme/\n<<lingo Prompt>> <$select tiddler=\"$:/theme\">\n<$list filter=\"[plugin-type[theme]sort[title]]\">\n<option value=<<currentTiddler>>><$view field=\"name\"><$view field=\"title\"/></$view></option>\n</$list>\n</$select>"
},
"$:/snippets/modules": {
"title": "$:/snippets/modules",
"text": "\\define describeModuleType(type)\n{{$:/language/Docs/ModuleTypes/$type$}}\n\\end\n<$list filter=\"[moduletypes[]]\">\n\n!! <$macrocall $name=\"currentTiddler\" $type=\"text/plain\" $output=\"text/plain\"/>\n\n<$macrocall $name=\"describeModuleType\" type=<<currentTiddler>>/>\n\n<ul><$list filter=\"[all[current]modules[]]\"><li><$link><<currentTiddler>></$link>\n</li>\n</$list>\n</ul>\n</$list>\n"
},
"$:/palette": {
"title": "$:/palette",
"text": "$:/palettes/Vanilla"
},
"$:/snippets/paletteeditor": {
"title": "$:/snippets/paletteeditor",
"text": "<$transclude tiddler=\"$:/PaletteManager\"/>\n"
},
"$:/snippets/palettepreview": {
"title": "$:/snippets/palettepreview",
"text": "<$set name=\"currentTiddler\" value={{$:/palette}}>\n{{||$:/snippets/currpalettepreview}}\n</$set>\n"
},
"$:/snippets/paletteswitcher": {
"title": "$:/snippets/paletteswitcher",
"text": "<$linkcatcher to=\"$:/palette\">\n<div class=\"tc-chooser\"><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Palette]sort[name]]\"><$set name=\"cls\" filter=\"[all[current]prefix{$:/palette}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>><$link to={{!!title}}>''<$view field=\"name\" format=\"text\"/>'' - <$view field=\"description\" format=\"text\"/>{{||$:/snippets/currpalettepreview}}</$link>\n</div></$set>\n</$list>\n</div>\n</$linkcatcher>\n"
},
"$:/snippets/peek-stylesheets": {
"title": "$:/snippets/peek-stylesheets",
"text": "\\define expandable-stylesheets-list()\n<ol>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<$vars state=<<qualify \"$:/state/peek-stylesheets/open/\">>>\n<$set name=\"state\" value={{{ [<state>addsuffix<currentTiddler>] }}}>\n<li>\n<$reveal type=\"match\" state=<<state>> text=\"yes\" tag=\"span\">\n<$button set=<<state>> setTo=\"no\" class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"nomatch\" state=<<state>> text=\"yes\" tag=\"span\">\n<$button set=<<state>> setTo=\"yes\" class=\"tc-btn-invisible\">\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$link>\n<$view field=\"title\"/>\n</$link>\n<$reveal type=\"match\" state=<<state>> text=\"yes\" tag=\"div\">\n<$set name=\"source\" tiddler=<<currentTiddler>>>\n<$wikify name=\"styles\" text=<<source>>>\n<pre>\n<code>\n<$text text=<<styles>>/>\n</code>\n</pre>\n</$wikify>\n</$set>\n</$reveal>\n</li>\n</$set>\n</$vars>\n</$list>\n</ol>\n\\end\n\n\\define stylesheets-list()\n<ol>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<li>\n<$link>\n<$view field=\"title\"/>\n</$link>\n<$set name=\"source\" tiddler=<<currentTiddler>>>\n<$wikify name=\"styles\" text=<<source>>>\n<pre>\n<code>\n<$text text=<<styles>>/>\n</code>\n</pre>\n</$wikify>\n</$set>\n</li>\n</$list>\n</ol>\n\\end\n\n<$vars modeState=<<qualify \"$:/state/peek-stylesheets/mode/\">>>\n\n<$reveal type=\"nomatch\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<$button set=<<modeState>> setTo=\"expanded\" class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}} {{$:/language/ControlPanel/Stylesheets/Expand/Caption}}</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<$button set=<<modeState>> setTo=\"restored\" class=\"tc-btn-invisible\">{{$:/core/images/chevron-down}} {{$:/language/ControlPanel/Stylesheets/Restore/Caption}}</$button>\n</$reveal>\n\n<$reveal type=\"nomatch\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<<expandable-stylesheets-list>>\n</$reveal>\n<$reveal type=\"match\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<<stylesheets-list>>\n</$reveal>\n\n</$vars>\n"
},
"$:/temp/search": {
"title": "$:/temp/search",
"text": ""
},
"$:/tags/AdvancedSearch": {
"title": "$:/tags/AdvancedSearch",
"list": "[[$:/core/ui/AdvancedSearch/Standard]] [[$:/core/ui/AdvancedSearch/System]] [[$:/core/ui/AdvancedSearch/Shadows]] [[$:/core/ui/AdvancedSearch/Filter]]"
},
"$:/tags/AdvancedSearch/FilterButton": {
"title": "$:/tags/AdvancedSearch/FilterButton",
"list": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown $:/core/ui/AdvancedSearch/Filter/FilterButtons/clear $:/core/ui/AdvancedSearch/Filter/FilterButtons/export $:/core/ui/AdvancedSearch/Filter/FilterButtons/delete"
},
"$:/tags/ControlPanel": {
"title": "$:/tags/ControlPanel",
"list": "$:/core/ui/ControlPanel/Info $:/core/ui/ControlPanel/Appearance $:/core/ui/ControlPanel/Settings $:/core/ui/ControlPanel/Saving $:/core/ui/ControlPanel/Plugins $:/core/ui/ControlPanel/Tools $:/core/ui/ControlPanel/Internals"
},
"$:/tags/ControlPanel/Info": {
"title": "$:/tags/ControlPanel/Info",
"list": "$:/core/ui/ControlPanel/Basics $:/core/ui/ControlPanel/Advanced"
},
"$:/tags/ControlPanel/Plugins": {
"title": "$:/tags/ControlPanel/Plugins",
"list": "[[$:/core/ui/ControlPanel/Plugins/Installed]] [[$:/core/ui/ControlPanel/Plugins/Add]]"
},
"$:/tags/EditTemplate": {
"title": "$:/tags/EditTemplate",
"list": "[[$:/core/ui/EditTemplate/controls]] [[$:/core/ui/EditTemplate/title]] [[$:/core/ui/EditTemplate/tags]] [[$:/core/ui/EditTemplate/shadow]] [[$:/core/ui/ViewTemplate/classic]] [[$:/core/ui/EditTemplate/body]] [[$:/core/ui/EditTemplate/type]] [[$:/core/ui/EditTemplate/fields]]"
},
"$:/tags/EditToolbar": {
"title": "$:/tags/EditToolbar",
"list": "[[$:/core/ui/Buttons/delete]] [[$:/core/ui/Buttons/cancel]] [[$:/core/ui/Buttons/save]]"
},
"$:/tags/EditorToolbar": {
"title": "$:/tags/EditorToolbar",
"list": "$:/core/ui/EditorToolbar/paint $:/core/ui/EditorToolbar/opacity $:/core/ui/EditorToolbar/line-width $:/core/ui/EditorToolbar/rotate-left $:/core/ui/EditorToolbar/clear $:/core/ui/EditorToolbar/bold $:/core/ui/EditorToolbar/italic $:/core/ui/EditorToolbar/strikethrough $:/core/ui/EditorToolbar/underline $:/core/ui/EditorToolbar/superscript $:/core/ui/EditorToolbar/subscript $:/core/ui/EditorToolbar/mono-line $:/core/ui/EditorToolbar/mono-block $:/core/ui/EditorToolbar/quote $:/core/ui/EditorToolbar/list-bullet $:/core/ui/EditorToolbar/list-number $:/core/ui/EditorToolbar/heading-1 $:/core/ui/EditorToolbar/heading-2 $:/core/ui/EditorToolbar/heading-3 $:/core/ui/EditorToolbar/heading-4 $:/core/ui/EditorToolbar/heading-5 $:/core/ui/EditorToolbar/heading-6 $:/core/ui/EditorToolbar/link $:/core/ui/EditorToolbar/excise $:/core/ui/EditorToolbar/picture $:/core/ui/EditorToolbar/stamp $:/core/ui/EditorToolbar/size $:/core/ui/EditorToolbar/editor-height $:/core/ui/EditorToolbar/more $:/core/ui/EditorToolbar/preview $:/core/ui/EditorToolbar/preview-type"
},
"$:/tags/Manager/ItemMain": {
"title": "$:/tags/Manager/ItemMain",
"list": "$:/Manager/ItemMain/WikifiedText $:/Manager/ItemMain/RawText $:/Manager/ItemMain/Fields"
},
"$:/tags/Manager/ItemSidebar": {
"title": "$:/tags/Manager/ItemSidebar",
"list": "$:/Manager/ItemSidebar/Tags $:/Manager/ItemSidebar/Colour $:/Manager/ItemSidebar/Icon $:/Manager/ItemSidebar/Tools"
},
"$:/tags/MoreSideBar": {
"title": "$:/tags/MoreSideBar",
"list": "[[$:/core/ui/MoreSideBar/All]] [[$:/core/ui/MoreSideBar/Recent]] [[$:/core/ui/MoreSideBar/Tags]] [[$:/core/ui/MoreSideBar/Missing]] [[$:/core/ui/MoreSideBar/Drafts]] [[$:/core/ui/MoreSideBar/Orphans]] [[$:/core/ui/MoreSideBar/Types]] [[$:/core/ui/MoreSideBar/System]] [[$:/core/ui/MoreSideBar/Shadows]] [[$:/core/ui/MoreSideBar/Explorer]] [[$:/core/ui/MoreSideBar/Plugins]]",
"text": ""
},
"$:/tags/PageControls": {
"title": "$:/tags/PageControls",
"list": "[[$:/core/ui/Buttons/home]] [[$:/core/ui/Buttons/close-all]] [[$:/core/ui/Buttons/fold-all]] [[$:/core/ui/Buttons/unfold-all]] [[$:/core/ui/Buttons/permaview]] [[$:/core/ui/Buttons/new-tiddler]] [[$:/core/ui/Buttons/new-journal]] [[$:/core/ui/Buttons/new-image]] [[$:/core/ui/Buttons/import]] [[$:/core/ui/Buttons/export-page]] [[$:/core/ui/Buttons/control-panel]] [[$:/core/ui/Buttons/advanced-search]] [[$:/core/ui/Buttons/manager]] [[$:/core/ui/Buttons/tag-manager]] [[$:/core/ui/Buttons/language]] [[$:/core/ui/Buttons/palette]] [[$:/core/ui/Buttons/theme]] [[$:/core/ui/Buttons/storyview]] [[$:/core/ui/Buttons/encryption]] [[$:/core/ui/Buttons/timestamp]] [[$:/core/ui/Buttons/full-screen]] [[$:/core/ui/Buttons/print]] [[$:/core/ui/Buttons/save-wiki]] [[$:/core/ui/Buttons/refresh]] [[$:/core/ui/Buttons/more-page-actions]]"
},
"$:/tags/PageTemplate": {
"title": "$:/tags/PageTemplate",
"list": "[[$:/core/ui/PageTemplate/topleftbar]] [[$:/core/ui/PageTemplate/toprightbar]] [[$:/core/ui/PageTemplate/sidebar]] [[$:/core/ui/PageTemplate/story]] [[$:/core/ui/PageTemplate/alerts]]",
"text": ""
},
"$:/tags/PluginLibrary": {
"title": "$:/tags/PluginLibrary",
"list": "$:/config/OfficialPluginLibrary"
},
"$:/tags/SideBar": {
"title": "$:/tags/SideBar",
"list": "[[$:/core/ui/SideBar/Open]] [[$:/core/ui/SideBar/Recent]] [[$:/core/ui/SideBar/Tools]] [[$:/core/ui/SideBar/More]]",
"text": ""
},
"$:/tags/SideBarSegment": {
"title": "$:/tags/SideBarSegment",
"list": "[[$:/core/ui/SideBarSegments/site-title]] [[$:/core/ui/SideBarSegments/site-subtitle]] [[$:/core/ui/SideBarSegments/page-controls]] [[$:/core/ui/SideBarSegments/search]] [[$:/core/ui/SideBarSegments/tabs]]"
},
"$:/tags/TiddlerInfo": {
"title": "$:/tags/TiddlerInfo",
"list": "[[$:/core/ui/TiddlerInfo/Tools]] [[$:/core/ui/TiddlerInfo/References]] [[$:/core/ui/TiddlerInfo/Tagging]] [[$:/core/ui/TiddlerInfo/List]] [[$:/core/ui/TiddlerInfo/Listed]] [[$:/core/ui/TiddlerInfo/Fields]]",
"text": ""
},
"$:/tags/TiddlerInfo/Advanced": {
"title": "$:/tags/TiddlerInfo/Advanced",
"list": "[[$:/core/ui/TiddlerInfo/Advanced/ShadowInfo]] [[$:/core/ui/TiddlerInfo/Advanced/PluginInfo]]"
},
"$:/tags/ViewTemplate": {
"title": "$:/tags/ViewTemplate",
"list": "[[$:/core/ui/ViewTemplate/title]] [[$:/core/ui/ViewTemplate/unfold]] [[$:/core/ui/ViewTemplate/subtitle]] [[$:/core/ui/ViewTemplate/tags]] [[$:/core/ui/ViewTemplate/classic]] [[$:/core/ui/ViewTemplate/body]]"
},
"$:/tags/ViewToolbar": {
"title": "$:/tags/ViewToolbar",
"list": "[[$:/core/ui/Buttons/more-tiddler-actions]] [[$:/core/ui/Buttons/info]] [[$:/core/ui/Buttons/new-here]] [[$:/core/ui/Buttons/new-journal-here]] [[$:/core/ui/Buttons/clone]] [[$:/core/ui/Buttons/export-tiddler]] [[$:/core/ui/Buttons/edit]] [[$:/core/ui/Buttons/delete]] [[$:/core/ui/Buttons/permalink]] [[$:/core/ui/Buttons/permaview]] [[$:/core/ui/Buttons/open-window]] [[$:/core/ui/Buttons/close-others]] [[$:/core/ui/Buttons/close]] [[$:/core/ui/Buttons/fold-others]] [[$:/core/ui/Buttons/fold]]"
},
"$:/snippets/themeswitcher": {
"title": "$:/snippets/themeswitcher",
"text": "<$linkcatcher to=\"$:/theme\">\n<div class=\"tc-chooser\"><$list filter=\"[plugin-type[theme]sort[title]]\"><$set name=\"cls\" filter=\"[all[current]field:title{$:/theme}] [[$:/theme]!has[text]addsuffix[s/tiddlywiki/vanilla]field:title<currentTiddler>] +[limit[1]]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>><$link to={{!!title}}>''<$view field=\"name\" format=\"text\"/>'' <$view field=\"description\" format=\"text\"/></$link></div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"
},
"$:/core/wiki/title": {
"title": "$:/core/wiki/title",
"text": "{{$:/SiteTitle}} --- {{$:/SiteSubtitle}}"
},
"$:/view": {
"title": "$:/view",
"text": "classic"
},
"$:/snippets/viewswitcher": {
"title": "$:/snippets/viewswitcher",
"text": "\\define icon()\n$:/core/images/storyview-$(storyview)$\n\\end\n<$linkcatcher to=\"$:/view\">\n<div class=\"tc-chooser tc-viewswitcher\">\n<$list filter=\"[storyviews[]]\" variable=\"storyview\">\n<$set name=\"cls\" filter=\"[<storyview>prefix{$:/view}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>>\n<$link to=<<storyview>>><$transclude tiddler=<<icon>>/><$text text=<<storyview>>/></$link>\n</div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"
}
}
}
[[Introduction]]
AAABAAEAEBAQAAEABAAoAQAAFgAAACgAAAAQAAAAIAAAAAEABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD1ACoAAAHhALhKRwDpYmYAZmfDAMJ/gQC0i40AQK2xAJS8vgAAzsoA1sXHAG3X2QDT1tYAAP78AO3x8AAAAAAA////9SAAAAP//+xQAAAAAP//+gAAAAAA7//lAAAAAAD///MAAAAAAP/v8gAAAAAA///yAAALERGv/+MAA70RESX/9QBd3XERAD//Bt3dkREAA//93d2REQAAX/+93ZEUAAD///i7tP8AAD//r+//7xERT//8////ERFP/+z/7//+AAAA8AAAAPgAAABwAAAA+AAAANgAAAD4AAAAcAAAADgAAAAcAAAADgAAAAcAAAAPgwAAB10AAAe/AAAHNwAA
The following tiddlers were imported: # [[stylesheet/semantic/tags-border-colors]]
no
$:/palettes/GraysAndGreens
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BattleLemarieWavelet BayesianMaximization BayesianMaximizationObject BayesianMinimization BayesianMinimizationObject Because BeckmannDistribution Beep Before Begin BeginDialogPacket BeginFrontEndInteractionPacket BeginPackage BellB BellY Below BenfordDistribution BeniniDistribution BenktanderGibratDistribution BenktanderWeibullDistribution BernoulliB BernoulliDistribution BernoulliGraphDistribution BernoulliProcess BernsteinBasis BesselFilterModel BesselI BesselJ BesselJZero BesselK BesselY BesselYZero Beta BetaBinomialDistribution BetaDistribution BetaNegativeBinomialDistribution BetaPrimeDistribution BetaRegularized Between BetweennessCentrality BeveledPolyhedron BezierCurve BezierCurve3DBox BezierCurve3DBoxOptions BezierCurveBox BezierCurveBoxOptions BezierFunction BilateralFilter Binarize BinaryDeserialize BinaryDistance BinaryFormat BinaryImageQ BinaryRead BinaryReadList BinarySerialize BinaryWrite BinCounts BinLists Binomial BinomialDistribution BinomialProcess BinormalDistribution BiorthogonalSplineWavelet BipartiteGraphQ BiquadraticFilterModel BirnbaumImportance BirnbaumSaundersDistribution BitAnd BitClear BitGet BitLength BitNot BitOr BitSet BitShiftLeft BitShiftRight BitXor BiweightLocation BiweightMidvariance Black BlackmanHarrisWindow BlackmanNuttallWindow BlackmanWindow Blank BlankForm BlankNullSequence BlankSequence Blend Block BlockchainAddressData BlockchainBase BlockchainBlockData BlockchainContractValue BlockchainData BlockchainGet BlockchainKeyEncode BlockchainPut BlockchainTokenData BlockchainTransaction BlockchainTransactionData BlockchainTransactionSign BlockchainTransactionSubmit BlockMap BlockRandom BlomqvistBeta BlomqvistBetaTest Blue Blur BodePlot BohmanWindow Bold Bond BondCount BondList BondQ Bookmarks Boole BooleanConsecutiveFunction BooleanConvert BooleanCountingFunction BooleanFunction BooleanGraph BooleanMaxterms BooleanMinimize BooleanMinterms BooleanQ BooleanRegion Booleans BooleanStrings BooleanTable BooleanVariables BorderDimensions BorelTannerDistribution Bottom BottomHatTransform BoundaryDiscretizeGraphics BoundaryDiscretizeRegion BoundaryMesh BoundaryMeshRegion BoundaryMeshRegionQ BoundaryStyle BoundedRegionQ BoundingRegion Bounds Box BoxBaselineShift BoxData BoxDimensions Boxed Boxes BoxForm BoxFormFormatTypes BoxFrame BoxID BoxMargins BoxMatrix BoxObject BoxRatios BoxRotation BoxRotationPoint BoxStyle BoxWhiskerChart Bra BracketingBar BraKet BrayCurtisDistance BreadthFirstScan Break BridgeData BrightnessEqualize BroadcastStationData Brown BrownForsytheTest BrownianBridgeProcess BrowserCategory BSplineBasis BSplineCurve BSplineCurve3DBox BSplineCurve3DBoxOptions BSplineCurveBox BSplineCurveBoxOptions BSplineFunction BSplineSurface BSplineSurface3DBox BSplineSurface3DBoxOptions BubbleChart BubbleChart3D BubbleScale BubbleSizes BuildingData BulletGauge BusinessDayQ ButterflyGraph ButterworthFilterModel Button ButtonBar ButtonBox ButtonBoxOptions ButtonCell ButtonContents ButtonData ButtonEvaluator ButtonExpandable ButtonFrame ButtonFunction ButtonMargins ButtonMinHeight ButtonNote ButtonNotebook ButtonSource ButtonStyle ButtonStyleMenuListing Byte ByteArray ByteArrayFormat ByteArrayQ ByteArrayToString ByteCount ByteOrderingC CachedValue CacheGraphics CachePersistence CalendarConvert CalendarData CalendarType Callout CalloutMarker CalloutStyle CallPacket CanberraDistance Cancel CancelButton CandlestickChart CanonicalGraph CanonicalizePolygon CanonicalizePolyhedron CanonicalName CanonicalWarpingCorrespondence CanonicalWarpingDistance CantorMesh CantorStaircase Cap CapForm CapitalDifferentialD Capitalize CapsuleShape CaptureRunning CardinalBSplineBasis CarlemanLinearize CarmichaelLambda CaseOrdering Cases CaseSensitive Cashflow Casoratian Catalan CatalanNumber Catch Catenate CatenateLayer CauchyDistribution CauchyWindow CayleyGraph CDF CDFDeploy CDFInformation CDFWavelet Ceiling CelestialSystem Cell CellAutoOverwrite CellBaseline CellBoundingBox CellBracketOptions CellChangeTimes CellContents CellContext CellDingbat CellDynamicExpression CellEditDuplicate CellElementsBoundingBox CellElementSpacings CellEpilog CellEvaluationDuplicate CellEvaluationFunction CellEvaluationLanguage CellEventActions CellFrame CellFrameColor CellFrameLabelMargins CellFrameLabels CellFrameMargins CellGroup CellGroupData CellGrouping CellGroupingRules CellHorizontalScrolling CellID CellLabel CellLabelAutoDelete CellLabelMargins CellLabelPositioning CellLabelStyle CellLabelTemplate CellMargins CellObject CellOpen CellPrint CellProlog Cells CellSize CellStyle CellTags CellularAutomaton CensoredDistribution Censoring Center CenterArray CenterDot CentralFeature CentralMoment CentralMomentGeneratingFunction Cepstrogram CepstrogramArray CepstrumArray CForm ChampernowneNumber ChangeOptions ChannelBase ChannelBrokerAction ChannelDatabin ChannelHistoryLength ChannelListen ChannelListener ChannelListeners ChannelListenerWait ChannelObject ChannelPreSendFunction ChannelReceiverFunction ChannelSend ChannelSubscribers ChanVeseBinarize Character CharacterCounts CharacterEncoding CharacterEncodingsPath CharacteristicFunction CharacteristicPolynomial CharacterName CharacterRange Characters ChartBaseStyle ChartElementData ChartElementDataFunction ChartElementFunction ChartElements ChartLabels ChartLayout ChartLegends ChartStyle Chebyshev1FilterModel Chebyshev2FilterModel ChebyshevDistance ChebyshevT ChebyshevU Check CheckAbort CheckAll Checkbox CheckboxBar CheckboxBox CheckboxBoxOptions ChemicalData ChessboardDistance ChiDistribution ChineseRemainder ChiSquareDistribution ChoiceButtons ChoiceDialog CholeskyDecomposition Chop ChromaticityPlot ChromaticityPlot3D ChromaticPolynomial Circle CircleBox CircleDot CircleMinus CirclePlus CirclePoints CircleThrough CircleTimes CirculantGraph CircularOrthogonalMatrixDistribution CircularQuaternionMatrixDistribution CircularRealMatrixDistribution CircularSymplecticMatrixDistribution CircularUnitaryMatrixDistribution Circumsphere CityData ClassifierFunction ClassifierInformation ClassifierMeasurements ClassifierMeasurementsObject Classify ClassPriors Clear ClearAll ClearAttributes ClearCookies ClearPermissions ClearSystemCache ClebschGordan ClickPane Clip ClipboardNotebook ClipFill ClippingStyle ClipPlanes ClipPlanesStyle ClipRange Clock ClockGauge ClockwiseContourIntegral Close Closed CloseKernels ClosenessCentrality Closing ClosingAutoSave ClosingEvent CloudAccountData CloudBase CloudConnect CloudDeploy CloudDirectory CloudDisconnect CloudEvaluate CloudExport CloudExpression CloudExpressions CloudFunction CloudGet CloudImport CloudLoggingData CloudObject CloudObjectInformation CloudObjectInformationData CloudObjectNameFormat CloudObjects CloudObjectURLType CloudPublish CloudPut CloudRenderingMethod CloudSave CloudShare CloudSubmit CloudSymbol CloudUnshare ClusterClassify ClusterDissimilarityFunction ClusteringComponents ClusteringTree CMYKColor Coarse CodeAssistOptions Coefficient CoefficientArrays CoefficientDomain CoefficientList CoefficientRules CoifletWavelet Collect Colon ColonForm ColorBalance ColorCombine ColorConvert ColorCoverage ColorData ColorDataFunction ColorDetect ColorDistance ColorFunction ColorFunctionScaling Colorize ColorNegate ColorOutput ColorProfileData ColorQ ColorQuantize ColorReplace ColorRules ColorSelectorSettings ColorSeparate ColorSetter ColorSetterBox ColorSetterBoxOptions ColorSlider ColorsNear ColorSpace ColorToneMapping Column ColumnAlignments ColumnBackgrounds ColumnForm ColumnLines ColumnsEqual ColumnSpacings ColumnWidths CombinedEntityClass CombinerFunction CometData CommonDefaultFormatTypes Commonest CommonestFilter CommonName CommonUnits CommunityBoundaryStyle CommunityGraphPlot CommunityLabels CommunityRegionStyle CompanyData CompatibleUnitQ CompilationOptions CompilationTarget Compile Compiled CompiledCodeFunction CompiledFunction CompilerOptions Complement CompleteGraph CompleteGraphQ CompleteKaryTree CompletionsListPacket Complex Complexes ComplexExpand ComplexInfinity ComplexityFunction ComplexListPlot ComplexPlot ComplexPlot3D ComponentMeasurements ComponentwiseContextMenu Compose ComposeList ComposeSeries CompositeQ Composition CompoundElement CompoundExpression CompoundPoissonDistribution CompoundPoissonProcess CompoundRenewalProcess Compress CompressedData ComputeUncertainty Condition ConditionalExpression Conditioned Cone ConeBox ConfidenceLevel ConfidenceRange ConfidenceTransform ConfigurationPath ConformAudio ConformImages Congruent ConicHullRegion ConicHullRegion3DBox ConicHullRegionBox ConicOptimization Conjugate ConjugateTranspose Conjunction Connect ConnectedComponents ConnectedGraphComponents ConnectedGraphQ ConnectedMeshComponents ConnectedMoleculeComponents ConnectedMoleculeQ ConnectionSettings ConnectLibraryCallbackFunction ConnectSystemModelComponents ConnesWindow ConoverTest ConsoleMessage ConsoleMessagePacket ConsolePrint Constant ConstantArray ConstantArrayLayer ConstantImage ConstantPlusLayer ConstantRegionQ Constants ConstantTimesLayer ConstellationData ConstrainedMax ConstrainedMin Construct Containing ContainsAll ContainsAny ContainsExactly ContainsNone ContainsOnly ContentFieldOptions ContentLocationFunction ContentObject ContentPadding ContentsBoundingBox ContentSelectable ContentSize Context ContextMenu Contexts ContextToFileName Continuation Continue ContinuedFraction ContinuedFractionK ContinuousAction ContinuousMarkovProcess ContinuousTask ContinuousTimeModelQ ContinuousWaveletData ContinuousWaveletTransform ContourDetect ContourGraphics ContourIntegral ContourLabels ContourLines ContourPlot ContourPlot3D Contours ContourShading ContourSmoothing ContourStyle ContraharmonicMean ContrastiveLossLayer Control ControlActive ControlAlignment ControlGroupContentsBox ControllabilityGramian ControllabilityMatrix ControllableDecomposition ControllableModelQ ControllerDuration ControllerInformation ControllerInformationData ControllerLinking ControllerManipulate ControllerMethod ControllerPath ControllerState ControlPlacement ControlsRendering ControlType Convergents ConversionOptions ConversionRules ConvertToBitmapPacket ConvertToPostScript ConvertToPostScriptPacket ConvexHullMesh ConvexPolygonQ ConvexPolyhedronQ ConvolutionLayer Convolve ConwayGroupCo1 ConwayGroupCo2 ConwayGroupCo3 CookieFunction Cookies CoordinateBoundingBox CoordinateBoundingBoxArray CoordinateBounds CoordinateBoundsArray CoordinateChartData CoordinatesToolOptions CoordinateTransform CoordinateTransformData CoprimeQ Coproduct CopulaDistribution Copyable CopyDatabin CopyDirectory CopyFile CopyTag CopyToClipboard CornerFilter CornerNeighbors Correlation CorrelationDistance CorrelationFunction CorrelationTest Cos Cosh CoshIntegral CosineDistance CosineWindow CosIntegral Cot Coth Count CountDistinct CountDistinctBy CounterAssignments CounterBox CounterBoxOptions CounterClockwiseContourIntegral CounterEvaluator CounterFunction CounterIncrements CounterStyle CounterStyleMenuListing CountRoots CountryData Counts CountsBy Covariance CovarianceEstimatorFunction CovarianceFunction CoxianDistribution CoxIngersollRossProcess CoxModel CoxModelFit CramerVonMisesTest CreateArchive CreateCellID CreateChannel CreateCloudExpression CreateDatabin CreateDataSystemModel CreateDialog CreateDirectory CreateDocument CreateFile CreateIntermediateDirectories CreateManagedLibraryExpression CreateNotebook CreatePalette CreatePalettePacket CreatePermissionsGroup CreateScheduledTask CreateSearchIndex CreateSystemModel CreateTemporary CreateUUID CreateWindow CriterionFunction CriticalityFailureImportance CriticalitySuccessImportance CriticalSection Cross CrossEntropyLossLayer CrossingCount CrossingDetect CrossingPolygon CrossMatrix Csc Csch CTCLossLayer Cube CubeRoot Cubics Cuboid CuboidBox Cumulant CumulantGeneratingFunction Cup CupCap Curl CurlyDoubleQuote CurlyQuote CurrencyConvert CurrentDate CurrentImage CurrentlySpeakingPacket CurrentNotebookImage CurrentScreenImage CurrentValue Curry CurvatureFlowFilter CurveClosed Cyan CycleGraph CycleIndexPolynomial Cycles CyclicGroup Cyclotomic Cylinder CylinderBox CylindricalDecompositionD DagumDistribution DamData DamerauLevenshteinDistance DampingFactor Darker Dashed Dashing DatabaseConnect DatabaseDisconnect DatabaseReference Databin DatabinAdd DatabinRemove Databins DatabinUpload DataCompression DataDistribution DataRange DataReversed Dataset Date DateBounds Dated DateDelimiters DateDifference DatedUnit DateFormat DateFunction DateHistogram DateList DateListLogPlot DateListPlot DateListStepPlot DateObject DateObjectQ DateOverlapsQ DatePattern DatePlus DateRange DateReduction DateString DateTicksFormat DateValue DateWithinQ DaubechiesWavelet DavisDistribution DawsonF DayCount DayCountConvention DayHemisphere DaylightQ DayMatchQ DayName DayNightTerminator DayPlus DayRange DayRound DeBruijnGraph DeBruijnSequence Debug DebugTag Decapitalize Decimal DecimalForm DeclareKnownSymbols DeclarePackage Decompose DeconvolutionLayer Decrement Decrypt DecryptFile DedekindEta DeepSpaceProbeData Default DefaultAxesStyle DefaultBaseStyle DefaultBoxStyle DefaultButton DefaultColor DefaultControlPlacement DefaultDuplicateCellStyle DefaultDuration DefaultElement DefaultFaceGridsStyle DefaultFieldHintStyle DefaultFont DefaultFontProperties DefaultFormatType DefaultFormatTypeForStyle DefaultFrameStyle DefaultFrameTicksStyle DefaultGridLinesStyle DefaultInlineFormatType DefaultInputFormatType DefaultLabelStyle DefaultMenuStyle DefaultNaturalLanguage DefaultNewCellStyle DefaultNewInlineCellStyle DefaultNotebook DefaultOptions DefaultOutputFormatType DefaultPrintPrecision DefaultStyle DefaultStyleDefinitions DefaultTextFormatType DefaultTextInlineFormatType DefaultTicksStyle DefaultTooltipStyle DefaultValue DefaultValues Defer DefineExternal DefineInputStreamMethod DefineOutputStreamMethod DefineResourceFunction Definition Degree DegreeCentrality DegreeGraphDistribution DegreeLexicographic DegreeReverseLexicographic DEigensystem DEigenvalues Deinitialization Del DelaunayMesh Delayed Deletable Delete DeleteAnomalies DeleteBorderComponents DeleteCases DeleteChannel DeleteCloudExpression DeleteContents DeleteDirectory DeleteDuplicates DeleteDuplicatesBy DeleteFile DeleteMissing DeleteObject DeletePermissionsKey DeleteSearchIndex DeleteSmallComponents DeleteStopwords DeleteWithContents DeletionWarning DelimitedArray DelimitedSequence Delimiter DelimiterFlashTime DelimiterMatching Delimiters DeliveryFunction Dendrogram Denominator DensityGraphics DensityHistogram DensityPlot DensityPlot3D DependentVariables Deploy Deployed Depth DepthFirstScan Derivative DerivativeFilter DerivedKey DescriptorStateSpace DesignMatrix DestroyAfterEvaluation Det DeviceClose DeviceConfigure DeviceExecute DeviceExecuteAsynchronous DeviceObject DeviceOpen DeviceOpenQ DeviceRead DeviceReadBuffer DeviceReadLatest DeviceReadList DeviceReadTimeSeries Devices DeviceStreams DeviceWrite DeviceWriteBuffer DGaussianWavelet DiacriticalPositioning Diagonal DiagonalizableMatrixQ DiagonalMatrix DiagonalMatrixQ Dialog DialogIndent DialogInput DialogLevel DialogNotebook DialogProlog DialogReturn DialogSymbols Diamond DiamondMatrix DiceDissimilarity DictionaryLookup DictionaryWordQ DifferenceDelta DifferenceOrder DifferenceQuotient DifferenceRoot DifferenceRootReduce Differences DifferentialD DifferentialRoot DifferentialRootReduce DifferentiatorFilter DigitalSignature DigitBlock DigitBlockMinimum DigitCharacter DigitCount DigitQ DihedralAngle DihedralGroup Dilation DimensionalCombinations DimensionalMeshComponents DimensionReduce DimensionReducerFunction DimensionReduction Dimensions DiracComb DiracDelta DirectedEdge DirectedEdges DirectedGraph DirectedGraphQ DirectedInfinity Direction Directive Directory DirectoryName DirectoryQ DirectoryStack DirichletBeta DirichletCharacter DirichletCondition DirichletConvolve DirichletDistribution DirichletEta DirichletL DirichletLambda DirichletTransform DirichletWindow DisableConsolePrintPacket DisableFormatting DiscreteChirpZTransform DiscreteConvolve DiscreteDelta DiscreteHadamardTransform DiscreteIndicator DiscreteLimit DiscreteLQEstimatorGains DiscreteLQRegulatorGains DiscreteLyapunovSolve DiscreteMarkovProcess DiscreteMaxLimit DiscreteMinLimit DiscretePlot DiscretePlot3D DiscreteRatio DiscreteRiccatiSolve DiscreteShift DiscreteTimeModelQ DiscreteUniformDistribution DiscreteVariables DiscreteWaveletData DiscreteWaveletPacketTransform DiscreteWaveletTransform DiscretizeGraphics DiscretizeRegion Discriminant DisjointQ Disjunction Disk DiskBox DiskMatrix DiskSegment Dispatch DispatchQ DispersionEstimatorFunction Display DisplayAllSteps DisplayEndPacket DisplayFlushImagePacket DisplayForm DisplayFunction DisplayPacket DisplayRules DisplaySetSizePacket DisplayString DisplayTemporary DisplayWith DisplayWithRef DisplayWithVariable DistanceFunction DistanceMatrix DistanceTransform Distribute Distributed DistributedContexts DistributeDefinitions DistributionChart DistributionDomain DistributionFitTest DistributionParameterAssumptions DistributionParameterQ Dithering Div Divergence Divide DivideBy Dividers DivideSides Divisible Divisors DivisorSigma DivisorSum DMSList DMSString Do DockedCells DocumentGenerator DocumentGeneratorInformation DocumentGeneratorInformationData DocumentGenerators DocumentNotebook DocumentWeightingRules Dodecahedron DomainRegistrationInformation DominantColors DOSTextFormat Dot DotDashed DotEqual DotLayer DotPlusLayer Dotted DoubleBracketingBar DoubleContourIntegral DoubleDownArrow DoubleLeftArrow DoubleLeftRightArrow DoubleLeftTee DoubleLongLeftArrow DoubleLongLeftRightArrow DoubleLongRightArrow DoubleRightArrow DoubleRightTee DoubleUpArrow DoubleUpDownArrow DoubleVerticalBar DoublyInfinite Down DownArrow DownArrowBar DownArrowUpArrow DownLeftRightVector DownLeftTeeVector DownLeftVector DownLeftVectorBar DownRightTeeVector DownRightVector DownRightVectorBar Downsample DownTee DownTeeArrow DownValues DragAndDrop DrawEdges DrawFrontFaces DrawHighlighted Drop DropoutLayer DSolve DSolveValue Dt DualLinearProgramming DualPolyhedron DualSystemsModel DumpGet DumpSave DuplicateFreeQ Duration Dynamic DynamicBox DynamicBoxOptions DynamicEvaluationTimeout DynamicGeoGraphics DynamicImage DynamicLocation DynamicModule DynamicModuleBox DynamicModuleBoxOptions DynamicModuleParent DynamicModuleValues DynamicName DynamicNamespace DynamicReference DynamicSetting DynamicUpdating DynamicWrapper DynamicWrapperBox DynamicWrapperBoxOptionsE EarthImpactData EarthquakeData EccentricityCentrality Echo EchoFunction EclipseType EdgeAdd EdgeBetweennessCentrality EdgeCapacity EdgeCapForm EdgeColor EdgeConnectivity EdgeContract EdgeCost EdgeCount EdgeCoverQ EdgeCycleMatrix EdgeDashing EdgeDelete EdgeDetect EdgeForm EdgeIndex EdgeJoinForm EdgeLabeling EdgeLabels EdgeLabelStyle EdgeList EdgeOpacity EdgeQ EdgeRenderingFunction EdgeRules EdgeShapeFunction EdgeStyle EdgeThickness EdgeWeight EdgeWeightedGraphQ Editable EditButtonSettings EditCellTagsSettings EditDistance EffectiveInterest Eigensystem Eigenvalues EigenvectorCentrality Eigenvectors Element ElementData ElementwiseLayer ElidedForms Eliminate EliminationOrder Ellipsoid EllipticE EllipticExp EllipticExpPrime EllipticF EllipticFilterModel EllipticK EllipticLog EllipticNomeQ EllipticPi EllipticReducedHalfPeriods EllipticTheta EllipticThetaPrime EmbedCode EmbeddedHTML EmbeddedService EmbeddingLayer EmbeddingObject EmitSound EmphasizeSyntaxErrors EmpiricalDistribution Empty EmptyGraphQ EmptyRegion EnableConsolePrintPacket Enabled Encode Encrypt EncryptedObject EncryptFile End EndAdd EndDialogPacket EndFrontEndInteractionPacket EndOfBuffer EndOfFile EndOfLine EndOfString EndPackage EngineEnvironment EngineeringForm Enter EnterExpressionPacket EnterTextPacket Entity EntityClass EntityClassList EntityCopies EntityFunction EntityGroup EntityInstance EntityList EntityPrefetch EntityProperties EntityProperty EntityPropertyClass EntityRegister EntityStore EntityStores EntityTypeName EntityUnregister EntityValue Entropy EntropyFilter Environment Epilog EpilogFunction Equal EqualColumns EqualRows EqualTilde EqualTo EquatedTo Equilibrium EquirippleFilterKernel Equivalent Erf Erfc Erfi ErlangB ErlangC ErlangDistribution Erosion ErrorBox ErrorBoxOptions ErrorNorm ErrorPacket ErrorsDialogSettings EscapeRadius EstimatedBackground EstimatedDistribution EstimatedProcess EstimatorGains EstimatorRegulator EuclideanDistance EulerAngles EulerCharacteristic EulerE EulerGamma EulerianGraphQ EulerMatrix EulerPhi Evaluatable Evaluate Evaluated EvaluatePacket EvaluateScheduledTask EvaluationBox EvaluationCell EvaluationCompletionAction EvaluationData EvaluationElements EvaluationEnvironment EvaluationMode EvaluationMonitor EvaluationNotebook EvaluationObject EvaluationOrder Evaluator EvaluatorNames EvenQ EventData EventEvaluator EventHandler EventHandlerTag EventLabels EventSeries ExactBlackmanWindow ExactNumberQ ExactRootIsolation ExampleData Except ExcludedForms ExcludedLines ExcludedPhysicalQuantities ExcludePods Exclusions ExclusionsStyle Exists Exit ExitDialog ExoplanetData Exp Expand ExpandAll ExpandDenominator ExpandFileName ExpandNumerator Expectation ExpectationE ExpectedValue ExpGammaDistribution ExpIntegralE ExpIntegralEi ExpirationDate Exponent ExponentFunction ExponentialDistribution ExponentialFamily ExponentialGeneratingFunction ExponentialMovingAverage ExponentialPowerDistribution ExponentPosition ExponentStep Export ExportAutoReplacements ExportByteArray ExportForm ExportPacket ExportString Expression ExpressionCell ExpressionPacket ExpressionUUID ExpToTrig ExtendedEntityClass ExtendedGCD Extension ExtentElementFunction ExtentMarkers ExtentSize ExternalBundle ExternalCall ExternalDataCharacterEncoding ExternalEvaluate ExternalFunction ExternalFunctionName ExternalObject ExternalOptions ExternalSessionObject ExternalSessions ExternalTypeSignature ExternalValue Extract ExtractArchive ExtractLayer ExtremeValueDistributionFaceForm FaceGrids FaceGridsStyle FacialFeatures Factor FactorComplete Factorial Factorial2 FactorialMoment FactorialMomentGeneratingFunction FactorialPower FactorInteger FactorList FactorSquareFree FactorSquareFreeList FactorTerms FactorTermsList Fail Failure FailureAction FailureDistribution FailureQ False FareySequence FARIMAProcess FeatureDistance FeatureExtract FeatureExtraction FeatureExtractor FeatureExtractorFunction FeatureNames FeatureNearest FeatureSpacePlot FeatureSpacePlot3D FeatureTypes FEDisableConsolePrintPacket FeedbackLinearize FeedbackSector FeedbackSectorStyle FeedbackType FEEnableConsolePrintPacket FetalGrowthData Fibonacci Fibonorial FieldCompletionFunction FieldHint FieldHintStyle FieldMasked FieldSize File FileBaseName FileByteCount FileConvert FileDate FileExistsQ FileExtension FileFormat FileHandler FileHash FileInformation FileName FileNameDepth FileNameDialogSettings FileNameDrop FileNameForms FileNameJoin FileNames FileNameSetter FileNameSplit FileNameTake FilePrint FileSize FileSystemMap FileSystemScan FileTemplate FileTemplateApply FileType FilledCurve FilledCurveBox FilledCurveBoxOptions Filling FillingStyle FillingTransform FilteredEntityClass FilterRules FinancialBond FinancialData FinancialDerivative FinancialIndicator Find FindAnomalies FindArgMax FindArgMin FindChannels FindClique FindClusters FindCookies FindCurvePath FindCycle FindDevices FindDistribution FindDistributionParameters FindDivisions FindEdgeCover FindEdgeCut FindEdgeIndependentPaths FindEquationalProof FindEulerianCycle FindExternalEvaluators FindFaces FindFile FindFit FindFormula FindFundamentalCycles FindGeneratingFunction FindGeoLocation FindGeometricConjectures FindGeometricTransform FindGraphCommunities FindGraphIsomorphism FindGraphPartition FindHamiltonianCycle FindHamiltonianPath FindHiddenMarkovStates FindIndependentEdgeSet FindIndependentVertexSet FindInstance FindIntegerNullVector FindKClan FindKClique FindKClub FindKPlex FindLibrary FindLinearRecurrence FindList FindMatchingColor FindMaximum FindMaximumFlow FindMaxValue FindMeshDefects FindMinimum FindMinimumCostFlow FindMinimumCut FindMinValue FindMoleculeSubstructure FindPath FindPeaks FindPermutation FindPostmanTour FindProcessParameters FindRepeat FindRoot FindSequenceFunction FindSettings FindShortestPath FindShortestTour FindSpanningTree FindSystemModelEquilibrium FindTextualAnswer FindThreshold FindTransientRepeat FindVertexCover FindVertexCut FindVertexIndependentPaths Fine FinishDynamic FiniteAbelianGroupCount FiniteGroupCount FiniteGroupData First FirstCase FirstPassageTimeDistribution FirstPosition FischerGroupFi22 FischerGroupFi23 FischerGroupFi24Prime FisherHypergeometricDistribution FisherRatioTest FisherZDistribution Fit FitAll FitRegularization FittedModel FixedOrder FixedPoint FixedPointList FlashSelection Flat Flatten FlattenAt FlattenLayer FlatTopWindow FlipView Floor FlowPolynomial FlushPrintOutputPacket Fold FoldList FoldPair FoldPairList FollowRedirects Font FontColor FontFamily FontForm FontName FontOpacity FontPostScriptName FontProperties FontReencoding FontSize FontSlant FontSubstitutions FontTracking FontVariations FontWeight For ForAll Format FormatRules FormatType FormatTypeAutoConvert FormatValues FormBox FormBoxOptions FormControl FormFunction FormLayoutFunction FormObject FormPage FormTheme FormulaData FormulaLookup FortranForm Forward ForwardBackward Fourier FourierCoefficient FourierCosCoefficient FourierCosSeries FourierCosTransform FourierDCT FourierDCTFilter FourierDCTMatrix FourierDST FourierDSTMatrix FourierMatrix FourierParameters FourierSequenceTransform FourierSeries FourierSinCoefficient FourierSinSeries FourierSinTransform FourierTransform FourierTrigSeries FractionalBrownianMotionProcess FractionalGaussianNoiseProcess FractionalPart FractionBox FractionBoxOptions FractionLine Frame FrameBox FrameBoxOptions Framed FrameInset FrameLabel Frameless FrameMargins FrameRate FrameStyle FrameTicks FrameTicksStyle FRatioDistribution FrechetDistribution FreeQ FrenetSerretSystem FrequencySamplingFilterKernel FresnelC FresnelF FresnelG FresnelS Friday FrobeniusNumber FrobeniusSolve FromAbsoluteTime FromCharacterCode FromCoefficientRules FromContinuedFraction FromDate FromDigits FromDMS FromEntity FromJulianDate FromLetterNumber FromPolarCoordinates FromRomanNumeral FromSphericalCoordinates FromUnixTime Front FrontEndDynamicExpression FrontEndEventActions FrontEndExecute FrontEndObject FrontEndResource FrontEndResourceString FrontEndStackSize FrontEndToken FrontEndTokenExecute FrontEndValueCache FrontEndVersion FrontFaceColor FrontFaceOpacity Full FullAxes FullDefinition FullForm FullGraphics FullInformationOutputRegulator FullOptions FullRegion FullSimplify Function FunctionCompile FunctionCompileExport FunctionCompileExportByteArray FunctionCompileExportLibrary FunctionCompileExportString FunctionDomain FunctionExpand FunctionInterpolation FunctionPeriod FunctionRange FunctionSpace FussellVeselyImportanceGaborFilter GaborMatrix GaborWavelet GainMargins GainPhaseMargins GalaxyData GalleryView Gamma GammaDistribution GammaRegularized GapPenalty GARCHProcess GatedRecurrentLayer Gather GatherBy GaugeFaceElementFunction GaugeFaceStyle GaugeFrameElementFunction GaugeFrameSize GaugeFrameStyle GaugeLabels GaugeMarkers GaugeStyle GaussianFilter GaussianIntegers GaussianMatrix GaussianOrthogonalMatrixDistribution GaussianSymplecticMatrixDistribution GaussianUnitaryMatrixDistribution GaussianWindow GCD GegenbauerC General GeneralizedLinearModelFit GenerateAsymmetricKeyPair GenerateConditions GeneratedCell GeneratedDocumentBinding GenerateDerivedKey GenerateDigitalSignature GenerateDocument GeneratedParameters GeneratedQuantityMagnitudes GenerateHTTPResponse GenerateSecuredAuthenticationKey GenerateSymmetricKey GeneratingFunction GeneratorDescription GeneratorHistoryLength GeneratorOutputType Generic GenericCylindricalDecomposition GenomeData GenomeLookup GeoAntipode GeoArea GeoArraySize GeoBackground GeoBoundingBox GeoBounds GeoBoundsRegion GeoBubbleChart GeoCenter GeoCircle GeodesicClosing GeodesicDilation GeodesicErosion GeodesicOpening GeoDestination GeodesyData GeoDirection GeoDisk GeoDisplacement GeoDistance GeoDistanceList GeoElevationData GeoEntities GeoGraphics GeogravityModelData GeoGridDirectionDifference GeoGridLines GeoGridLinesStyle GeoGridPosition GeoGridRange GeoGridRangePadding GeoGridUnitArea GeoGridUnitDistance GeoGridVector GeoGroup GeoHemisphere GeoHemisphereBoundary GeoHistogram GeoIdentify GeoImage GeoLabels GeoLength GeoListPlot GeoLocation GeologicalPeriodData GeomagneticModelData GeoMarker GeometricAssertion GeometricBrownianMotionProcess GeometricDistribution GeometricMean GeometricMeanFilter GeometricScene GeometricTransformation GeometricTransformation3DBox GeometricTransformation3DBoxOptions GeometricTransformationBox GeometricTransformationBoxOptions GeoModel GeoNearest GeoPath GeoPosition GeoPositionENU GeoPositionXYZ GeoProjection GeoProjectionData GeoRange GeoRangePadding GeoRegionValuePlot GeoResolution GeoScaleBar GeoServer GeoSmoothHistogram GeoStreamPlot GeoStyling GeoStylingImageFunction GeoVariant GeoVector GeoVectorENU GeoVectorPlot GeoVectorXYZ GeoVisibleRegion GeoVisibleRegionBoundary GeoWithinQ GeoZoomLevel GestureHandler GestureHandlerTag Get GetBoundingBoxSizePacket GetContext GetEnvironment GetFileName GetFrontEndOptionsDataPacket GetLinebreakInformationPacket GetMenusPacket GetPageBreakInformationPacket Glaisher GlobalClusteringCoefficient GlobalPreferences GlobalSession Glow GoldenAngle GoldenRatio GompertzMakehamDistribution GoodmanKruskalGamma GoodmanKruskalGammaTest Goto Grad Gradient GradientFilter GradientOrientationFilter GrammarApply GrammarRules GrammarToken Graph Graph3D GraphAssortativity GraphAutomorphismGroup GraphCenter GraphComplement GraphData GraphDensity GraphDiameter GraphDifference GraphDisjointUnion GraphDistance GraphDistanceMatrix GraphElementData GraphEmbedding GraphHighlight GraphHighlightStyle GraphHub Graphics Graphics3D Graphics3DBox Graphics3DBoxOptions GraphicsArray GraphicsBaseline GraphicsBox GraphicsBoxOptions GraphicsColor GraphicsColumn GraphicsComplex GraphicsComplex3DBox GraphicsComplex3DBoxOptions GraphicsComplexBox GraphicsComplexBoxOptions GraphicsContents GraphicsData GraphicsGrid GraphicsGridBox GraphicsGroup GraphicsGroup3DBox GraphicsGroup3DBoxOptions GraphicsGroupBox GraphicsGroupBoxOptions GraphicsGrouping GraphicsHighlightColor GraphicsRow GraphicsSpacing GraphicsStyle GraphIntersection GraphLayout GraphLinkEfficiency GraphPeriphery GraphPlot GraphPlot3D GraphPower GraphPropertyDistribution GraphQ GraphRadius GraphReciprocity GraphRoot GraphStyle GraphUnion Gray GrayLevel Greater GreaterEqual GreaterEqualLess GreaterEqualThan GreaterFullEqual GreaterGreater GreaterLess GreaterSlantEqual GreaterThan GreaterTilde Green GreenFunction Grid GridBaseline GridBox GridBoxAlignment GridBoxBackground GridBoxDividers GridBoxFrame GridBoxItemSize GridBoxItemStyle GridBoxOptions GridBoxSpacings GridCreationSettings GridDefaultElement GridElementStyleOptions GridFrame GridFrameMargins GridGraph GridLines GridLinesStyle GroebnerBasis GroupActionBase GroupBy GroupCentralizer GroupElementFromWord GroupElementPosition GroupElementQ GroupElements GroupElementToWord GroupGenerators Groupings GroupMultiplicationTable GroupOrbits GroupOrder GroupPageBreakWithin GroupSetwiseStabilizer GroupStabilizer GroupStabilizerChain GroupTogetherGrouping GroupTogetherNestedGrouping GrowCutComponents Gudermannian GuidedFilter GumbelDistributionHaarWavelet HadamardMatrix HalfLine HalfNormalDistribution HalfPlane HalfSpace HamiltonianGraphQ HammingDistance HammingWindow HandlerFunctions HandlerFunctionsKeys HankelH1 HankelH2 HankelMatrix HankelTransform HannPoissonWindow HannWindow HaradaNortonGroupHN HararyGraph HarmonicMean HarmonicMeanFilter HarmonicNumber Hash Haversine HazardFunction Head HeadCompose HeaderLines Heads HeavisideLambda HeavisidePi HeavisideTheta HeldGroupHe HeldPart HelpBrowserLookup HelpBrowserNotebook HelpBrowserSettings Here HermiteDecomposition HermiteH HermitianMatrixQ HessenbergDecomposition Hessian HexadecimalCharacter Hexahedron HexahedronBox HexahedronBoxOptions HiddenMarkovProcess HiddenSurface Highlighted HighlightGraph HighlightImage HighlightMesh HighpassFilter HigmanSimsGroupHS HilbertCurve HilbertFilter HilbertMatrix Histogram Histogram3D HistogramDistribution HistogramList HistogramTransform HistogramTransformInterpolation HistoricalPeriodData HitMissTransform HITSCentrality HjorthDistribution HodgeDual HoeffdingD HoeffdingDTest Hold HoldAll HoldAllComplete HoldComplete HoldFirst HoldForm HoldPattern HoldRest HolidayCalendar HomeDirectory HomePage Horizontal HorizontalForm HorizontalGauge HorizontalScrollPosition HornerForm HostLookup HotellingTSquareDistribution HoytDistribution HTMLSave HTTPErrorResponse HTTPRedirect HTTPRequest HTTPRequestData HTTPResponse Hue HumanGrowthData HumpDownHump HumpEqual HurwitzLerchPhi HurwitzZeta HyperbolicDistribution HypercubeGraph HyperexponentialDistribution Hyperfactorial Hypergeometric0F1 Hypergeometric0F1Regularized Hypergeometric1F1 Hypergeometric1F1Regularized Hypergeometric2F1 Hypergeometric2F1Regularized HypergeometricDistribution HypergeometricPFQ HypergeometricPFQRegularized HypergeometricU Hyperlink HyperlinkCreationSettings Hyperplane Hyphenation HyphenationOptions HypoexponentialDistribution HypothesisTestDataI IconData Iconize IconizedObject IconRules Icosahedron Identity IdentityMatrix If IgnoreCase IgnoreDiacritics IgnorePunctuation IgnoreSpellCheck IgnoringInactive Im Image Image3D Image3DProjection Image3DSlices ImageAccumulate ImageAdd ImageAdjust ImageAlign ImageApply ImageApplyIndexed ImageAspectRatio ImageAssemble ImageAugmentationLayer ImageBoundingBoxes ImageCache ImageCacheValid ImageCapture ImageCaptureFunction ImageCases ImageChannels ImageClip ImageCollage ImageColorSpace ImageCompose ImageContainsQ ImageContents ImageConvolve ImageCooccurrence ImageCorners ImageCorrelate ImageCorrespondingPoints ImageCrop ImageData ImageDeconvolve ImageDemosaic ImageDifference ImageDimensions ImageDisplacements ImageDistance ImageEffect ImageExposureCombine ImageFeatureTrack ImageFileApply ImageFileFilter ImageFileScan ImageFilter ImageFocusCombine ImageForestingComponents ImageFormattingWidth ImageForwardTransformation ImageGraphics ImageHistogram ImageIdentify ImageInstanceQ ImageKeypoints ImageLevels ImageLines ImageMargins ImageMarker ImageMarkers ImageMeasurements ImageMesh ImageMultiply ImageOffset ImagePad ImagePadding ImagePartition ImagePeriodogram ImagePerspectiveTransformation ImagePosition ImagePreviewFunction ImagePyramid ImagePyramidApply ImageQ ImageRangeCache ImageRecolor ImageReflect ImageRegion ImageResize ImageResolution ImageRestyle ImageRotate ImageRotated ImageSaliencyFilter ImageScaled ImageScan ImageSize ImageSizeAction ImageSizeCache ImageSizeMultipliers ImageSizeRaw ImageSubtract ImageTake ImageTransformation ImageTrim ImageType ImageValue ImageValuePositions ImagingDevice ImplicitRegion Implies Import ImportAutoReplacements ImportByteArray ImportOptions ImportString ImprovementImportance In Inactivate Inactive IncidenceGraph IncidenceList IncidenceMatrix IncludeAromaticBonds IncludeConstantBasis IncludeDefinitions IncludeDirectories IncludeFileExtension IncludeGeneratorTasks IncludeHydrogens IncludeInflections IncludeMetaInformation IncludePods IncludeQuantities IncludeRelatedTables IncludeSingularTerm IncludeWindowTimes Increment IndefiniteMatrixQ Indent IndentingNewlineSpacings IndentMaxFraction IndependenceTest IndependentEdgeSetQ IndependentPhysicalQuantity IndependentUnit IndependentUnitDimension IndependentVertexSetQ Indeterminate IndeterminateThreshold IndexCreationOptions Indexed IndexGraph IndexTag Inequality InexactNumberQ InexactNumbers InfiniteLine InfinitePlane Infinity Infix InflationAdjust InflationMethod Information InformationData InformationDataGrid Inherited InheritScope InhomogeneousPoissonProcess InitialEvaluationHistory Initialization InitializationCell InitializationCellEvaluation InitializationCellWarning InitializationObjects InitializationValue Initialize InitialSeeding InlineCounterAssignments InlineCounterIncrements InlineRules Inner InnerPolygon InnerPolyhedron Inpaint Input InputAliases InputAssumptions InputAutoReplacements InputField InputFieldBox InputFieldBoxOptions InputForm InputGrouping InputNamePacket InputNotebook InputPacket InputSettings InputStream InputString InputStringPacket InputToBoxFormPacket Insert InsertionFunction InsertionPointObject InsertLinebreaks InsertResults Inset Inset3DBox Inset3DBoxOptions InsetBox InsetBoxOptions Insphere Install InstallService InstanceNormalizationLayer InString Integer IntegerDigits IntegerExponent IntegerLength IntegerName IntegerPart IntegerPartitions IntegerQ IntegerReverse Integers IntegerString Integral Integrate Interactive InteractiveTradingChart Interlaced Interleaving InternallyBalancedDecomposition InterpolatingFunction InterpolatingPolynomial Interpolation InterpolationOrder InterpolationPoints InterpolationPrecision Interpretation InterpretationBox InterpretationBoxOptions InterpretationFunction Interpreter InterpretTemplate InterquartileRange Interrupt InterruptSettings IntersectingQ Intersection Interval IntervalIntersection IntervalMarkers IntervalMarkersStyle IntervalMemberQ IntervalSlider IntervalUnion Into Inverse InverseBetaRegularized InverseCDF InverseChiSquareDistribution InverseContinuousWaveletTransform InverseDistanceTransform InverseEllipticNomeQ InverseErf InverseErfc InverseFourier InverseFourierCosTransform InverseFourierSequenceTransform InverseFourierSinTransform InverseFourierTransform InverseFunction InverseFunctions InverseGammaDistribution InverseGammaRegularized InverseGaussianDistribution InverseGudermannian InverseHankelTransform InverseHaversine InverseImagePyramid InverseJacobiCD InverseJacobiCN InverseJacobiCS InverseJacobiDC InverseJacobiDN InverseJacobiDS InverseJacobiNC InverseJacobiND InverseJacobiNS InverseJacobiSC InverseJacobiSD InverseJacobiSN InverseLaplaceTransform InverseMellinTransform InversePermutation InverseRadon InverseRadonTransform InverseSeries InverseShortTimeFourier InverseSpectrogram InverseSurvivalFunction InverseTransformedRegion InverseWaveletTransform InverseWeierstrassP InverseWishartMatrixDistribution InverseZTransform Invisible InvisibleApplication InvisibleTimes IPAddress IrreduciblePolynomialQ IslandData IsolatingInterval IsomorphicGraphQ IsotopeData Italic Item ItemAspectRatio ItemBox ItemBoxOptions ItemSize ItemStyle ItoProcessJaccardDissimilarity JacobiAmplitude Jacobian JacobiCD JacobiCN JacobiCS JacobiDC JacobiDN JacobiDS JacobiNC JacobiND JacobiNS JacobiP JacobiSC JacobiSD JacobiSN JacobiSymbol JacobiZeta JankoGroupJ1 JankoGroupJ2 JankoGroupJ3 JankoGroupJ4 JarqueBeraALMTest JohnsonDistribution Join JoinAcross Joined JoinedCurve JoinedCurveBox JoinedCurveBoxOptions JoinForm JordanDecomposition JordanModelDecomposition JulianDate JuliaSetBoettcher JuliaSetIterationCount JuliaSetPlot JuliaSetPointsK KagiChart KaiserBesselWindow KaiserWindow KalmanEstimator KalmanFilter KarhunenLoeveDecomposition KaryTree KatzCentrality KCoreComponents KDistribution KEdgeConnectedComponents KEdgeConnectedGraphQ KelvinBei KelvinBer KelvinKei KelvinKer KendallTau KendallTauTest KernelExecute KernelFunction KernelMixtureDistribution Kernels Ket Key KeyCollisionFunction KeyComplement KeyDrop KeyDropFrom KeyExistsQ KeyFreeQ KeyIntersection KeyMap KeyMemberQ KeypointStrength Keys KeySelect KeySort KeySortBy KeyTake KeyUnion KeyValueMap KeyValuePattern Khinchin KillProcess KirchhoffGraph KirchhoffMatrix KleinInvariantJ KnapsackSolve KnightTourGraph KnotData KnownUnitQ KochCurve KolmogorovSmirnovTest KroneckerDelta KroneckerModelDecomposition KroneckerProduct KroneckerSymbol KuiperTest KumaraswamyDistribution Kurtosis KuwaharaFilter KVertexConnectedComponents KVertexConnectedGraphQLABColor Label Labeled LabeledSlider LabelingFunction LabelingSize LabelStyle LabelVisibility LaguerreL LakeData LambdaComponents LambertW LaminaData LanczosWindow LandauDistribution Language LanguageCategory LanguageData LanguageIdentify LanguageOptions LaplaceDistribution LaplaceTransform Laplacian LaplacianFilter LaplacianGaussianFilter Large Larger Last Latitude LatitudeLongitude LatticeData LatticeReduce Launch LaunchKernels LayeredGraphPlot LayerSizeFunction LayoutInformation LCHColor LCM LeaderSize LeafCount LeapYearQ LearnDistribution LearnedDistribution LearningRate LearningRateMultipliers LeastSquares LeastSquaresFilterKernel Left LeftArrow LeftArrowBar LeftArrowRightArrow LeftDownTeeVector LeftDownVector LeftDownVectorBar LeftRightArrow LeftRightVector LeftTee LeftTeeArrow LeftTeeVector LeftTriangle LeftTriangleBar LeftTriangleEqual LeftUpDownVector LeftUpTeeVector LeftUpVector LeftUpVectorBar LeftVector LeftVectorBar LegendAppearance Legended LegendFunction LegendLabel LegendLayout LegendMargins LegendMarkers LegendMarkerSize LegendreP LegendreQ LegendreType Length LengthWhile LerchPhi Less LessEqual LessEqualGreater LessEqualThan LessFullEqual LessGreater LessLess LessSlantEqual LessThan LessTilde LetterCharacter LetterCounts LetterNumber LetterQ Level LeveneTest LeviCivitaTensor LevyDistribution Lexicographic LibraryDataType LibraryFunction LibraryFunctionError LibraryFunctionInformation LibraryFunctionLoad LibraryFunctionUnload LibraryLoad LibraryUnload LicenseID LiftingFilterData LiftingWaveletTransform LightBlue LightBrown LightCyan Lighter LightGray LightGreen Lighting LightingAngle LightMagenta LightOrange LightPink LightPurple LightRed LightSources LightYellow Likelihood Limit LimitsPositioning LimitsPositioningTokens LindleyDistribution Line Line3DBox Line3DBoxOptions LinearFilter LinearFractionalOptimization LinearFractionalTransform LinearGradientImage LinearizingTransformationData LinearLayer LinearModelFit LinearOffsetFunction LinearOptimization LinearProgramming LinearRecurrence LinearSolve LinearSolveFunction LineBox LineBoxOptions LineBreak LinebreakAdjustments LineBreakChart LinebreakSemicolonWeighting LineBreakWithin LineColor LineGraph LineIndent LineIndentMaxFraction LineIntegralConvolutionPlot LineIntegralConvolutionScale LineLegend LineOpacity LineSpacing LineWrapParts LinkActivate LinkClose LinkConnect LinkConnectedQ LinkCreate LinkError LinkFlush LinkFunction LinkHost LinkInterrupt LinkLaunch LinkMode LinkObject LinkOpen LinkOptions LinkPatterns LinkProtocol LinkRankCentrality LinkRead LinkReadHeld LinkReadyQ Links LinkService LinkWrite LinkWriteHeld LiouvilleLambda List Listable ListAnimate ListContourPlot ListContourPlot3D ListConvolve ListCorrelate ListCurvePathPlot ListDeconvolve ListDensityPlot ListDensityPlot3D Listen ListFormat ListFourierSequenceTransform ListInterpolation ListLineIntegralConvolutionPlot ListLinePlot ListLogLinearPlot ListLogLogPlot ListLogPlot ListPicker ListPickerBox ListPickerBoxBackground ListPickerBoxOptions ListPlay ListPlot ListPlot3D ListPointPlot3D ListPolarPlot ListQ ListSliceContourPlot3D ListSliceDensityPlot3D ListSliceVectorPlot3D ListStepPlot ListStreamDensityPlot ListStreamPlot ListSurfacePlot3D ListVectorDensityPlot ListVectorPlot ListVectorPlot3D ListZTransform Literal LiteralSearch LocalAdaptiveBinarize LocalCache LocalClusteringCoefficient LocalizeDefinitions LocalizeVariables LocalObject LocalObjects LocalResponseNormalizationLayer LocalSubmit LocalSymbol LocalTime LocalTimeZone LocationEquivalenceTest LocationTest Locator LocatorAutoCreate LocatorBox LocatorBoxOptions LocatorCentering LocatorPane LocatorPaneBox LocatorPaneBoxOptions LocatorRegion Locked Log Log10 Log2 LogBarnesG LogGamma LogGammaDistribution LogicalExpand LogIntegral LogisticDistribution LogisticSigmoid LogitModelFit LogLikelihood LogLinearPlot LogLogisticDistribution LogLogPlot LogMultinormalDistribution LogNormalDistribution LogPlot LogRankTest LogSeriesDistribution LongEqual Longest LongestCommonSequence LongestCommonSequencePositions LongestCommonSubsequence LongestCommonSubsequencePositions LongestMatch LongestOrderedSequence LongForm Longitude LongLeftArrow LongLeftRightArrow LongRightArrow LongShortTermMemoryLayer Lookup Loopback LoopFreeGraphQ LossFunction LowerCaseQ LowerLeftArrow LowerRightArrow LowerTriangularize LowerTriangularMatrixQ LowpassFilter LQEstimatorGains LQGRegulator LQOutputRegulatorGains LQRegulatorGains LUBackSubstitution LucasL LuccioSamiComponents LUDecomposition LunarEclipse LUVColor LyapunovSolve LyonsGroupLyMachineID MachineName MachineNumberQ MachinePrecision MacintoshSystemPageSetup Magenta Magnification Magnify MailAddressValidation MailExecute MailFolder MailItem MailReceiverFunction MailResponseFunction MailSearch MailServerConnect MailServerConnection MailSettings MainSolve MaintainDynamicCaches Majority MakeBoxes MakeExpression MakeRules ManagedLibraryExpressionID ManagedLibraryExpressionQ MandelbrotSetBoettcher MandelbrotSetDistance MandelbrotSetIterationCount MandelbrotSetMemberQ MandelbrotSetPlot MangoldtLambda ManhattanDistance Manipulate Manipulator MannedSpaceMissionData MannWhitneyTest MantissaExponent Manual Map MapAll MapAt MapIndexed MAProcess MapThread MarchenkoPasturDistribution MarcumQ MardiaCombinedTest MardiaKurtosisTest MardiaSkewnessTest MarginalDistribution MarkovProcessProperties Masking MatchingDissimilarity MatchLocalNameQ MatchLocalNames MatchQ Material MathematicalFunctionData MathematicaNotation MathieuC MathieuCharacteristicA MathieuCharacteristicB MathieuCharacteristicExponent MathieuCPrime MathieuGroupM11 MathieuGroupM12 MathieuGroupM22 MathieuGroupM23 MathieuGroupM24 MathieuS MathieuSPrime MathMLForm MathMLText Matrices MatrixExp MatrixForm MatrixFunction MatrixLog MatrixNormalDistribution MatrixPlot MatrixPower MatrixPropertyDistribution MatrixQ MatrixRank MatrixTDistribution Max MaxBend MaxCellMeasure MaxColorDistance MaxDetect MaxDuration MaxExtraBandwidths MaxExtraConditions MaxFeatureDisplacement MaxFeatures MaxFilter MaximalBy Maximize MaxItems MaxIterations MaxLimit MaxMemoryUsed MaxMixtureKernels MaxOverlapFraction MaxPlotPoints MaxPoints MaxRecursion MaxStableDistribution MaxStepFraction MaxSteps MaxStepSize MaxTrainingRounds MaxValue MaxwellDistribution MaxWordGap McLaughlinGroupMcL Mean MeanAbsoluteLossLayer MeanAround MeanClusteringCoefficient MeanDegreeConnectivity MeanDeviation MeanFilter MeanGraphDistance MeanNeighborDegree MeanShift MeanShiftFilter MeanSquaredLossLayer Median MedianDeviation MedianFilter MedicalTestData Medium MeijerG MeijerGReduce MeixnerDistribution MellinConvolve MellinTransform MemberQ MemoryAvailable MemoryConstrained MemoryConstraint MemoryInUse MengerMesh Menu MenuAppearance MenuCommandKey MenuEvaluator MenuItem MenuList MenuPacket MenuSortingValue MenuStyle MenuView Merge MergeDifferences MergingFunction MersennePrimeExponent MersennePrimeExponentQ Mesh MeshCellCentroid MeshCellCount MeshCellHighlight MeshCellIndex MeshCellLabel MeshCellMarker MeshCellMeasure MeshCellQuality MeshCells MeshCellShapeFunction MeshCellStyle MeshCoordinates MeshFunctions MeshPrimitives MeshQualityGoal MeshRange MeshRefinementFunction MeshRegion MeshRegionQ MeshShading MeshStyle Message MessageDialog MessageList MessageName MessageObject MessageOptions MessagePacket Messages MessagesNotebook MetaCharacters MetaInformation MeteorShowerData Method MethodOptions MexicanHatWavelet MeyerWavelet Midpoint Min MinColorDistance MinDetect MineralData MinFilter MinimalBy MinimalPolynomial MinimalStateSpaceModel Minimize MinimumTimeIncrement MinIntervalSize MinkowskiQuestionMark MinLimit MinMax MinorPlanetData Minors MinRecursion MinSize MinStableDistribution Minus MinusPlus MinValue Missing MissingBehavior MissingDataMethod MissingDataRules MissingQ MissingString MissingStyle MissingValuePattern MittagLefflerE MixedFractionParts MixedGraphQ MixedMagnitude MixedRadix MixedRadixQuantity MixedUnit MixtureDistribution Mod Modal Mode Modular ModularInverse ModularLambda Module Modulus MoebiusMu Molecule MoleculeContainsQ MoleculeEquivalentQ MoleculeGraph MoleculeModify MoleculePattern MoleculePlot MoleculePlot3D MoleculeProperty MoleculeQ MoleculeValue Moment Momentary MomentConvert MomentEvaluate MomentGeneratingFunction MomentOfInertia Monday Monitor MonomialList MonomialOrder MonsterGroupM MoonPhase MoonPosition MorletWavelet MorphologicalBinarize MorphologicalBranchPoints MorphologicalComponents MorphologicalEulerNumber MorphologicalGraph MorphologicalPerimeter MorphologicalTransform MortalityData Most MountainData MouseAnnotation MouseAppearance MouseAppearanceTag MouseButtons Mouseover MousePointerNote MousePosition MovieData MovingAverage MovingMap MovingMedian MoyalDistribution Multicolumn MultiedgeStyle MultigraphQ MultilaunchWarning MultiLetterItalics MultiLetterStyle MultilineFunction Multinomial MultinomialDistribution MultinormalDistribution MultiplicativeOrder Multiplicity MultiplySides Multiselection MultivariateHypergeometricDistribution MultivariatePoissonDistribution MultivariateTDistributionN NakagamiDistribution NameQ Names NamespaceBox NamespaceBoxOptions Nand NArgMax NArgMin NBernoulliB NBodySimulation NBodySimulationData NCache NDEigensystem NDEigenvalues NDSolve NDSolveValue Nearest NearestFunction NearestNeighborGraph NearestTo NebulaData NeedCurrentFrontEndPackagePacket NeedCurrentFrontEndSymbolsPacket NeedlemanWunschSimilarity Needs Negative NegativeBinomialDistribution NegativeDefiniteMatrixQ NegativeIntegers NegativeMultinomialDistribution NegativeRationals NegativeReals NegativeSemidefiniteMatrixQ NeighborhoodData NeighborhoodGraph Nest NestedGreaterGreater NestedLessLess NestedScriptRules NestGraph NestList NestWhile NestWhileList NetAppend NetBidirectionalOperator NetChain NetDecoder NetDelete NetDrop NetEncoder NetEvaluationMode NetExtract NetFlatten NetFoldOperator NetGraph NetInformation NetInitialize NetInsert NetInsertSharedArrays NetJoin NetMapOperator NetMapThreadOperator NetMeasurements NetModel NetNestOperator NetPairEmbeddingOperator NetPort NetPortGradient NetPrepend NetRename NetReplace NetReplacePart NetSharedArray NetStateObject NetTake NetTrain NetTrainResultsObject NetworkPacketCapture NetworkPacketRecording NetworkPacketRecordingDuring NetworkPacketTrace NeumannValue NevilleThetaC NevilleThetaD NevilleThetaN NevilleThetaS NewPrimitiveStyle NExpectation Next NextCell NextDate NextPrime NextScheduledTaskTime NHoldAll NHoldFirst NHoldRest NicholsGridLines NicholsPlot NightHemisphere NIntegrate NMaximize NMaxValue NMinimize NMinValue NominalVariables NonAssociative NoncentralBetaDistribution NoncentralChiSquareDistribution NoncentralFRatioDistribution NoncentralStudentTDistribution NonCommutativeMultiply NonConstants NondimensionalizationTransform None NoneTrue NonlinearModelFit NonlinearStateSpaceModel NonlocalMeansFilter NonNegative NonNegativeIntegers NonNegativeRationals NonNegativeReals NonPositive NonPositiveIntegers NonPositiveRationals NonPositiveReals Nor NorlundB Norm Normal NormalDistribution NormalGrouping NormalizationLayer Normalize Normalized NormalizedSquaredEuclideanDistance NormalMatrixQ NormalsFunction NormFunction Not NotCongruent NotCupCap NotDoubleVerticalBar Notebook NotebookApply NotebookAutoSave NotebookClose NotebookConvertSettings NotebookCreate NotebookCreateReturnObject NotebookDefault NotebookDelete NotebookDirectory NotebookDynamicExpression NotebookEvaluate NotebookEventActions NotebookFileName NotebookFind NotebookFindReturnObject NotebookGet NotebookGetLayoutInformationPacket NotebookGetMisspellingsPacket NotebookImport NotebookInformation NotebookInterfaceObject NotebookLocate NotebookObject NotebookOpen NotebookOpenReturnObject NotebookPath NotebookPrint NotebookPut NotebookPutReturnObject NotebookRead NotebookResetGeneratedCells Notebooks NotebookSave NotebookSaveAs NotebookSelection NotebookSetupLayoutInformationPacket NotebooksMenu NotebookTemplate NotebookWrite NotElement NotEqualTilde NotExists NotGreater NotGreaterEqual NotGreaterFullEqual NotGreaterGreater NotGreaterLess NotGreaterSlantEqual NotGreaterTilde Nothing NotHumpDownHump NotHumpEqual NotificationFunction NotLeftTriangle NotLeftTriangleBar NotLeftTriangleEqual NotLess NotLessEqual NotLessFullEqual NotLessGreater NotLessLess NotLessSlantEqual NotLessTilde NotNestedGreaterGreater NotNestedLessLess NotPrecedes NotPrecedesEqual NotPrecedesSlantEqual NotPrecedesTilde NotReverseElement NotRightTriangle NotRightTriangleBar NotRightTriangleEqual NotSquareSubset NotSquareSubsetEqual NotSquareSuperset NotSquareSupersetEqual NotSubset NotSubsetEqual NotSucceeds NotSucceedsEqual NotSucceedsSlantEqual NotSucceedsTilde NotSuperset NotSupersetEqual NotTilde NotTildeEqual NotTildeFullEqual NotTildeTilde NotVerticalBar Now NoWhitespace NProbability NProduct NProductFactors NRoots NSolve NSum NSumTerms NuclearExplosionData NuclearReactorData Null NullRecords NullSpace NullWords Number NumberCompose NumberDecompose NumberExpand NumberFieldClassNumber NumberFieldDiscriminant NumberFieldFundamentalUnits NumberFieldIntegralBasis NumberFieldNormRepresentatives NumberFieldRegulator NumberFieldRootsOfUnity NumberFieldSignature NumberForm NumberFormat NumberLinePlot NumberMarks NumberMultiplier NumberPadding NumberPoint NumberQ NumberSeparator NumberSigns NumberString Numerator NumeratorDenominator NumericalOrder NumericalSort NumericArray NumericArrayQ NumericArrayType NumericFunction NumericQ NuttallWindow NValues NyquistGridLines NyquistPlotO ObservabilityGramian ObservabilityMatrix ObservableDecomposition ObservableModelQ OceanData Octahedron OddQ Off Offset OLEData On ONanGroupON Once OneIdentity Opacity OpacityFunction OpacityFunctionScaling Open OpenAppend Opener OpenerBox OpenerBoxOptions OpenerView OpenFunctionInspectorPacket Opening OpenRead OpenSpecialOptions OpenTemporary OpenWrite Operate OperatingSystem OptimumFlowData Optional OptionalElement OptionInspectorSettings OptionQ Options OptionsPacket OptionsPattern OptionValue OptionValueBox OptionValueBoxOptions Or Orange Order OrderDistribution OrderedQ Ordering OrderingBy OrderingLayer Orderless OrderlessPatternSequence OrnsteinUhlenbeckProcess Orthogonalize OrthogonalMatrixQ Out Outer OuterPolygon OuterPolyhedron OutputAutoOverwrite OutputControllabilityMatrix OutputControllableModelQ OutputForm OutputFormData OutputGrouping OutputMathEditExpression OutputNamePacket OutputResponse OutputSizeLimit OutputStream Over OverBar OverDot Overflow OverHat Overlaps Overlay OverlayBox OverlayBoxOptions Overscript OverscriptBox OverscriptBoxOptions OverTilde OverVector OverwriteTarget OwenT OwnValuesPackage PackingMethod PaddedForm Padding PaddingLayer PaddingSize PadeApproximant PadLeft PadRight PageBreakAbove PageBreakBelow PageBreakWithin PageFooterLines PageFooters PageHeaderLines PageHeaders PageHeight PageRankCentrality PageTheme PageWidth Pagination PairedBarChart PairedHistogram PairedSmoothHistogram PairedTTest PairedZTest PaletteNotebook PalettePath PalindromeQ Pane PaneBox PaneBoxOptions Panel PanelBox PanelBoxOptions Paneled PaneSelector PaneSelectorBox PaneSelectorBoxOptions PaperWidth ParabolicCylinderD ParagraphIndent ParagraphSpacing ParallelArray ParallelCombine ParallelDo Parallelepiped ParallelEvaluate Parallelization Parallelize ParallelMap ParallelNeeds Parallelogram ParallelProduct ParallelSubmit ParallelSum ParallelTable ParallelTry Parameter ParameterEstimator ParameterMixtureDistribution ParameterVariables ParametricFunction ParametricNDSolve ParametricNDSolveValue ParametricPlot ParametricPlot3D ParametricRegion ParentBox ParentCell ParentConnect ParentDirectory ParentForm Parenthesize ParentList ParentNotebook ParetoDistribution ParetoPickandsDistribution ParkData Part PartBehavior PartialCorrelationFunction PartialD ParticleAcceleratorData ParticleData Partition PartitionGranularity PartitionsP PartitionsQ PartLayer PartOfSpeech PartProtection ParzenWindow PascalDistribution PassEventsDown PassEventsUp Paste PasteAutoQuoteCharacters PasteBoxFormInlineCells PasteButton Path PathGraph PathGraphQ Pattern PatternSequence PatternTest PauliMatrix PaulWavelet Pause PausedTime PDF PeakDetect PeanoCurve PearsonChiSquareTest PearsonCorrelationTest PearsonDistribution PercentForm PerfectNumber PerfectNumberQ PerformanceGoal Perimeter PeriodicBoundaryCondition PeriodicInterpolation Periodogram PeriodogramArray Permanent Permissions PermissionsGroup PermissionsGroupMemberQ PermissionsGroups PermissionsKey PermissionsKeys PermutationCycles PermutationCyclesQ PermutationGroup PermutationLength PermutationList PermutationListQ PermutationMax PermutationMin PermutationOrder PermutationPower PermutationProduct PermutationReplace Permutations PermutationSupport Permute PeronaMalikFilter Perpendicular PerpendicularBisector PersistenceLocation PersistenceTime PersistentObject PersistentObjects PersistentValue PersonData PERTDistribution PetersenGraph PhaseMargins PhaseRange PhysicalSystemData Pi Pick PIDData PIDDerivativeFilter PIDFeedforward PIDTune Piecewise PiecewiseExpand PieChart PieChart3D PillaiTrace PillaiTraceTest PingTime Pink PitchRecognize Pivoting PixelConstrained PixelValue PixelValuePositions Placed Placeholder PlaceholderReplace Plain PlanarAngle PlanarGraph PlanarGraphQ PlanckRadiationLaw PlaneCurveData PlanetaryMoonData PlanetData PlantData Play PlayRange Plot Plot3D Plot3Matrix PlotDivision PlotJoined PlotLabel PlotLabels PlotLayout PlotLegends PlotMarkers PlotPoints PlotRange PlotRangeClipping PlotRangeClipPlanesStyle PlotRangePadding PlotRegion PlotStyle PlotTheme Pluralize Plus PlusMinus Pochhammer PodStates PodWidth Point Point3DBox Point3DBoxOptions PointBox PointBoxOptions PointFigureChart PointLegend PointSize PoissonConsulDistribution PoissonDistribution PoissonProcess PoissonWindow PolarAxes PolarAxesOrigin PolarGridLines PolarPlot PolarTicks PoleZeroMarkers PolyaAeppliDistribution PolyGamma Polygon Polygon3DBox Polygon3DBoxOptions PolygonalNumber PolygonAngle PolygonBox PolygonBoxOptions PolygonCoordinates PolygonDecomposition PolygonHoleScale PolygonIntersections PolygonScale Polyhedron PolyhedronAngle PolyhedronCoordinates PolyhedronData PolyhedronDecomposition PolyhedronGenus PolyLog PolynomialExtendedGCD PolynomialForm PolynomialGCD PolynomialLCM PolynomialMod PolynomialQ PolynomialQuotient PolynomialQuotientRemainder PolynomialReduce PolynomialRemainder Polynomials PoolingLayer PopupMenu PopupMenuBox PopupMenuBoxOptions PopupView PopupWindow Position PositionIndex Positive PositiveDefiniteMatrixQ PositiveIntegers PositiveRationals PositiveReals PositiveSemidefiniteMatrixQ PossibleZeroQ Postfix PostScript Power PowerDistribution PowerExpand PowerMod PowerModList PowerRange PowerSpectralDensity PowersRepresentations PowerSymmetricPolynomial Precedence PrecedenceForm Precedes PrecedesEqual PrecedesSlantEqual PrecedesTilde Precision PrecisionGoal PreDecrement Predict PredictionRoot PredictorFunction PredictorInformation PredictorMeasurements PredictorMeasurementsObject PreemptProtect PreferencesPath Prefix PreIncrement Prepend PrependLayer PrependTo PreprocessingRules PreserveColor PreserveImageOptions Previous PreviousCell PreviousDate PriceGraphDistribution PrimaryPlaceholder Prime PrimeNu PrimeOmega PrimePi PrimePowerQ PrimeQ Primes PrimeZetaP PrimitivePolynomialQ PrimitiveRoot PrimitiveRootList PrincipalComponents PrincipalValue Print PrintableASCIIQ PrintAction PrintForm PrintingCopies PrintingOptions PrintingPageRange PrintingStartingPageNumber PrintingStyleEnvironment Printout3D Printout3DPreviewer PrintPrecision PrintTemporary Prism PrismBox PrismBoxOptions PrivateCellOptions PrivateEvaluationOptions PrivateFontOptions PrivateFrontEndOptions PrivateKey PrivateNotebookOptions PrivatePaths Probability ProbabilityDistribution ProbabilityPlot ProbabilityPr ProbabilityScalePlot ProbitModelFit ProcessConnection ProcessDirectory ProcessEnvironment Processes ProcessEstimator ProcessInformation ProcessObject ProcessParameterAssumptions ProcessParameterQ ProcessStateDomain ProcessStatus ProcessTimeDomain Product ProductDistribution ProductLog ProgressIndicator ProgressIndicatorBox ProgressIndicatorBoxOptions Projection Prolog PromptForm ProofObject Properties Property PropertyList PropertyValue Proportion Proportional Protect Protected ProteinData Pruning PseudoInverse PsychrometricPropertyData PublicKey PublisherID PulsarData PunctuationCharacter Purple Put PutAppend Pyramid PyramidBox PyramidBoxOptionsQBinomial QFactorial QGamma QHypergeometricPFQ QnDispersion QPochhammer QPolyGamma QRDecomposition QuadraticIrrationalQ QuadraticOptimization Quantile QuantilePlot Quantity QuantityArray QuantityDistribution QuantityForm QuantityMagnitude QuantityQ QuantityUnit QuantityVariable QuantityVariableCanonicalUnit QuantityVariableDimensions QuantityVariableIdentifier QuantityVariablePhysicalQuantity Quartics QuartileDeviation Quartiles QuartileSkewness Query QueueingNetworkProcess QueueingProcess QueueProperties Quiet Quit Quotient QuotientRemainderRadialGradientImage RadialityCentrality RadicalBox RadicalBoxOptions RadioButton RadioButtonBar RadioButtonBox RadioButtonBoxOptions Radon RadonTransform RamanujanTau RamanujanTauL RamanujanTauTheta RamanujanTauZ Ramp Random RandomChoice RandomColor RandomComplex RandomEntity RandomFunction RandomGeoPosition RandomGraph RandomImage RandomInstance RandomInteger RandomPermutation RandomPoint RandomPolygon RandomPolyhedron RandomPrime RandomReal RandomSample RandomSeed RandomSeeding RandomVariate RandomWalkProcess RandomWord Range RangeFilter RangeSpecification RankedMax RankedMin RarerProbability Raster Raster3D Raster3DBox Raster3DBoxOptions RasterArray RasterBox RasterBoxOptions Rasterize RasterSize Rational RationalFunctions Rationalize Rationals Ratios RawArray RawBoxes RawData RawMedium RayleighDistribution Re Read ReadByteArray ReadLine ReadList ReadProtected ReadString Real RealAbs RealBlockDiagonalForm RealDigits RealExponent Reals RealSign Reap RecognitionPrior RecognitionThreshold Record RecordLists RecordSeparators Rectangle RectangleBox RectangleBoxOptions RectangleChart RectangleChart3D RectangularRepeatingElement RecurrenceFilter RecurrenceTable RecurringDigitsForm Red Reduce RefBox ReferenceLineStyle ReferenceMarkers ReferenceMarkerStyle Refine ReflectionMatrix ReflectionTransform Refresh RefreshRate Region RegionBinarize RegionBoundary RegionBounds RegionCentroid RegionDifference RegionDimension RegionDisjoint RegionDistance RegionDistanceFunction RegionEmbeddingDimension RegionEqual RegionFunction RegionImage RegionIntersection RegionMeasure RegionMember RegionMemberFunction RegionMoment RegionNearest RegionNearestFunction RegionPlot RegionPlot3D RegionProduct RegionQ RegionResize RegionSize RegionSymmetricDifference RegionUnion RegionWithin RegisterExternalEvaluator RegularExpression Regularization RegularlySampledQ RegularPolygon ReIm ReImLabels ReImPlot ReImStyle Reinstall RelationalDatabase RelationGraph Release ReleaseHold ReliabilityDistribution ReliefImage ReliefPlot RemoteAuthorizationCaching RemoteConnect RemoteConnectionObject RemoteFile RemoteRun RemoteRunProcess Remove RemoveAlphaChannel RemoveAsynchronousTask RemoveAudioStream RemoveBackground RemoveChannelListener RemoveChannelSubscribers Removed RemoveDiacritics RemoveInputStreamMethod RemoveOutputStreamMethod RemoveProperty RemoveScheduledTask RemoveUsers RenameDirectory RenameFile RenderAll RenderingOptions RenewalProcess RenkoChart RepairMesh Repeated RepeatedNull RepeatedString RepeatedTiming RepeatingElement Replace ReplaceAll ReplaceHeldPart ReplaceImageValue ReplaceList ReplacePart ReplacePixelValue ReplaceRepeated ReplicateLayer RequiredPhysicalQuantities Resampling ResamplingAlgorithmData ResamplingMethod Rescale RescalingTransform ResetDirectory ResetMenusPacket ResetScheduledTask ReshapeLayer Residue ResizeLayer Resolve ResourceAcquire ResourceData ResourceFunction ResourceObject ResourceRegister ResourceRemove ResourceSearch ResourceSubmissionObject ResourceSubmit ResourceSystemBase ResourceUpdate ResponseForm Rest RestartInterval Restricted Resultant ResumePacket Return ReturnEntersInput ReturnExpressionPacket ReturnInputFormPacket ReturnPacket ReturnReceiptFunction ReturnTextPacket Reverse ReverseBiorthogonalSplineWavelet ReverseElement ReverseEquilibrium ReverseGraph ReverseSort ReverseSortBy ReverseUpEquilibrium RevolutionAxis RevolutionPlot3D RGBColor RiccatiSolve RiceDistribution RidgeFilter RiemannR RiemannSiegelTheta RiemannSiegelZ RiemannXi Riffle Right RightArrow RightArrowBar RightArrowLeftArrow RightComposition RightCosetRepresentative RightDownTeeVector RightDownVector RightDownVectorBar RightTee RightTeeArrow RightTeeVector RightTriangle RightTriangleBar RightTriangleEqual RightUpDownVector RightUpTeeVector RightUpVector RightUpVectorBar RightVector RightVectorBar RiskAchievementImportance RiskReductionImportance RogersTanimotoDissimilarity RollPitchYawAngles RollPitchYawMatrix RomanNumeral Root RootApproximant RootIntervals RootLocusPlot RootMeanSquare RootOfUnityQ RootReduce Roots RootSum Rotate RotateLabel RotateLeft RotateRight RotationAction RotationBox RotationBoxOptions RotationMatrix RotationTransform Round RoundImplies RoundingRadius Row RowAlignments RowBackgrounds RowBox RowHeights RowLines RowMinHeight RowReduce RowsEqual RowSpacings RSolve RSolveValue RudinShapiro RudvalisGroupRu Rule RuleCondition RuleDelayed RuleForm RulePlot RulerUnits Run RunProcess RunScheduledTask RunThrough RuntimeAttributes RuntimeOptions RussellRaoDissimilaritySameQ SameTest SampledEntityClass SampleDepth SampledSoundFunction SampledSoundList SampleRate SamplingPeriod SARIMAProcess SARMAProcess SASTriangle SatelliteData SatisfiabilityCount SatisfiabilityInstances SatisfiableQ Saturday Save Saveable SaveAutoDelete SaveConnection SaveDefinitions SavitzkyGolayMatrix SawtoothWave Scale Scaled ScaleDivisions ScaledMousePosition ScaleOrigin ScalePadding ScaleRanges ScaleRangeStyle ScalingFunctions ScalingMatrix ScalingTransform Scan ScheduledTask ScheduledTaskActiveQ ScheduledTaskInformation ScheduledTaskInformationData ScheduledTaskObject ScheduledTasks SchurDecomposition ScientificForm ScientificNotationThreshold ScorerGi ScorerGiPrime ScorerHi ScorerHiPrime ScreenRectangle ScreenStyleEnvironment ScriptBaselineShifts ScriptForm ScriptLevel ScriptMinSize ScriptRules ScriptSizeMultipliers Scrollbars ScrollingOptions ScrollPosition SearchAdjustment SearchIndexObject SearchIndices SearchQueryString SearchResultObject Sec Sech SechDistribution SecondOrderConeOptimization SectionGrouping SectorChart SectorChart3D SectorOrigin SectorSpacing SecuredAuthenticationKey SecuredAuthenticationKeys SeedRandom Select Selectable SelectComponents SelectedCells SelectedNotebook SelectFirst Selection SelectionAnimate SelectionCell SelectionCellCreateCell SelectionCellDefaultStyle SelectionCellParentStyle SelectionCreateCell SelectionDebuggerTag SelectionDuplicateCell SelectionEvaluate SelectionEvaluateCreateCell SelectionMove SelectionPlaceholder SelectionSetStyle SelectWithContents SelfLoops SelfLoopStyle SemanticImport SemanticImportString SemanticInterpretation SemialgebraicComponentInstances SemidefiniteOptimization SendMail SendMessage Sequence SequenceAlignment SequenceAttentionLayer SequenceCases SequenceCount SequenceFold SequenceFoldList SequenceForm SequenceHold SequenceLastLayer SequenceMostLayer SequencePosition SequencePredict SequencePredictorFunction SequenceReplace SequenceRestLayer SequenceReverseLayer SequenceSplit Series SeriesCoefficient SeriesData ServiceConnect ServiceDisconnect ServiceExecute ServiceObject ServiceRequest ServiceResponse ServiceSubmit SessionSubmit SessionTime Set SetAccuracy SetAlphaChannel SetAttributes Setbacks SetBoxFormNamesPacket SetCloudDirectory SetCookies SetDelayed SetDirectory SetEnvironment SetEvaluationNotebook SetFileDate SetFileLoadingContext SetNotebookStatusLine SetOptions SetOptionsPacket SetPermissions SetPrecision SetProperty SetSecuredAuthenticationKey SetSelectedNotebook SetSharedFunction SetSharedVariable SetSpeechParametersPacket SetStreamPosition SetSystemModel SetSystemOptions Setter SetterBar SetterBox SetterBoxOptions Setting SetUsers SetValue Shading Shallow ShannonWavelet ShapiroWilkTest Share SharingList Sharpen ShearingMatrix ShearingTransform ShellRegion ShenCastanMatrix ShiftedGompertzDistribution ShiftRegisterSequence Short ShortDownArrow Shortest ShortestMatch ShortestPathFunction ShortLeftArrow ShortRightArrow ShortTimeFourier ShortTimeFourierData ShortUpArrow Show ShowAutoConvert ShowAutoSpellCheck ShowAutoStyles ShowCellBracket ShowCellLabel ShowCellTags ShowClosedCellArea ShowCodeAssist ShowContents ShowControls ShowCursorTracker ShowGroupOpenCloseIcon ShowGroupOpener ShowInvisibleCharacters ShowPageBreaks ShowPredictiveInterface ShowSelection ShowShortBoxForm ShowSpecialCharacters ShowStringCharacters ShowSyntaxStyles ShrinkingDelay ShrinkWrapBoundingBox SiderealTime SiegelTheta SiegelTukeyTest SierpinskiCurve SierpinskiMesh Sign Signature SignedRankTest SignedRegionDistance SignificanceLevel SignPadding SignTest SimilarityRules SimpleGraph SimpleGraphQ SimplePolygonQ SimplePolyhedronQ Simplex Simplify Sin Sinc SinghMaddalaDistribution SingleEvaluation SingleLetterItalics SingleLetterStyle SingularValueDecomposition SingularValueList SingularValuePlot SingularValues Sinh SinhIntegral SinIntegral SixJSymbol Skeleton SkeletonTransform SkellamDistribution Skewness SkewNormalDistribution SkinStyle Skip SliceContourPlot3D SliceDensityPlot3D SliceDistribution SliceVectorPlot3D Slider Slider2D Slider2DBox Slider2DBoxOptions SliderBox SliderBoxOptions SlideView Slot SlotSequence Small SmallCircle Smaller SmithDecomposition SmithDelayCompensator SmithWatermanSimilarity SmoothDensityHistogram SmoothHistogram SmoothHistogram3D SmoothKernelDistribution SnDispersion Snippet SnubPolyhedron SocialMediaData Socket SocketConnect SocketListen SocketListener SocketObject SocketOpen SocketReadMessage SocketReadyQ Sockets SocketWaitAll SocketWaitNext SoftmaxLayer SokalSneathDissimilarity SolarEclipse SolarSystemFeatureData SolidAngle SolidData SolidRegionQ Solve SolveAlways SolveDelayed Sort SortBy SortedBy SortedEntityClass Sound SoundAndGraphics SoundNote SoundVolume SourceLink Sow Space SpaceCurveData SpaceForm Spacer Spacings Span SpanAdjustments SpanCharacterRounding SpanFromAbove SpanFromBoth SpanFromLeft SpanLineThickness SpanMaxSize SpanMinSize SpanningCharacters SpanSymmetric SparseArray SpatialGraphDistribution SpatialMedian SpatialTransformationLayer Speak SpeakTextPacket SpearmanRankTest SpearmanRho SpeciesData SpecificityGoal SpectralLineData Spectrogram SpectrogramArray Specularity SpeechRecognize SpeechSynthesize SpellingCorrection SpellingCorrectionList SpellingDictionaries SpellingDictionariesPath SpellingOptions SpellingSuggestionsPacket Sphere SphereBox SpherePoints SphericalBesselJ SphericalBesselY SphericalHankelH1 SphericalHankelH2 SphericalHarmonicY SphericalPlot3D SphericalRegion SphericalShell SpheroidalEigenvalue SpheroidalJoiningFactor SpheroidalPS SpheroidalPSPrime SpheroidalQS SpheroidalQSPrime SpheroidalRadialFactor SpheroidalS1 SpheroidalS1Prime SpheroidalS2 SpheroidalS2Prime Splice SplicedDistribution SplineClosed SplineDegree SplineKnots SplineWeights Split SplitBy SpokenString Sqrt SqrtBox SqrtBoxOptions Square SquaredEuclideanDistance SquareFreeQ SquareIntersection SquareMatrixQ SquareRepeatingElement SquaresR SquareSubset SquareSubsetEqual SquareSuperset SquareSupersetEqual SquareUnion SquareWave SSSTriangle StabilityMargins StabilityMarginsStyle StableDistribution Stack StackBegin StackComplete StackedDateListPlot StackedListPlot StackInhibit StadiumShape StandardAtmosphereData StandardDeviation StandardDeviationFilter StandardForm Standardize Standardized StandardOceanData StandbyDistribution Star StarClusterData StarData StarGraph StartAsynchronousTask StartExternalSession StartingStepSize StartOfLine StartOfString StartProcess StartScheduledTask StartupSound StartWebSession StateDimensions StateFeedbackGains StateOutputEstimator StateResponse StateSpaceModel StateSpaceRealization StateSpaceTransform StateTransformationLinearize StationaryDistribution StationaryWaveletPacketTransform StationaryWaveletTransform StatusArea StatusCentrality StepMonitor StereochemistryElements StieltjesGamma StirlingS1 StirlingS2 StopAsynchronousTask StoppingPowerData StopScheduledTask StrataVariables StratonovichProcess StreamColorFunction StreamColorFunctionScaling StreamDensityPlot StreamMarkers StreamPlot StreamPoints StreamPosition Streams StreamScale StreamStyle String StringBreak StringByteCount StringCases StringContainsQ StringCount StringDelete StringDrop StringEndsQ StringExpression StringExtract StringForm StringFormat StringFreeQ StringInsert StringJoin StringLength StringMatchQ StringPadLeft StringPadRight StringPart StringPartition StringPosition StringQ StringRepeat StringReplace StringReplaceList StringReplacePart StringReverse StringRiffle StringRotateLeft StringRotateRight StringSkeleton StringSplit StringStartsQ StringTake StringTemplate StringToByteArray StringToStream StringTrim StripBoxes StripOnInput StripWrapperBoxes StrokeForm StructuralImportance StructuredArray StructuredSelection StruveH StruveL Stub StudentTDistribution Style StyleBox StyleBoxAutoDelete StyleData StyleDefinitions StyleForm StyleHints StyleKeyMapping StyleMenuListing StyleNameDialogSettings StyleNames 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"type": "application/javascript",
"title": "$:/plugins/tiddlywiki/highlight/highlight.js",
"module-type": "library"
},
"$:/plugins/tiddlywiki/highlight/highlight.css": {
"text": "/*\n\nOriginal highlight.js style (c) Ivan Sagalaev <maniac@softwaremaniacs.org>\n\n*/\n\n.hljs {\n display: block;\n overflow-x: auto;\n padding: 0.5em;\n background: #F0F0F0;\n}\n\n\n/* Base color: saturation 0; */\n\n.hljs,\n.hljs-subst {\n color: #444;\n}\n\n.hljs-comment {\n color: #888888;\n}\n\n.hljs-keyword,\n.hljs-attribute,\n.hljs-selector-tag,\n.hljs-meta-keyword,\n.hljs-doctag,\n.hljs-name {\n font-weight: bold;\n}\n\n\n/* User color: hue: 0 */\n\n.hljs-type,\n.hljs-string,\n.hljs-number,\n.hljs-selector-id,\n.hljs-selector-class,\n.hljs-quote,\n.hljs-template-tag,\n.hljs-deletion {\n color: #880000;\n}\n\n.hljs-title,\n.hljs-section {\n color: #880000;\n font-weight: bold;\n}\n\n.hljs-regexp,\n.hljs-symbol,\n.hljs-variable,\n.hljs-template-variable,\n.hljs-link,\n.hljs-selector-attr,\n.hljs-selector-pseudo {\n color: #BC6060;\n}\n\n\n/* Language color: hue: 90; */\n\n.hljs-literal {\n color: #78A960;\n}\n\n.hljs-built_in,\n.hljs-bullet,\n.hljs-code,\n.hljs-addition {\n color: #397300;\n}\n\n\n/* Meta color: hue: 200 */\n\n.hljs-meta {\n color: #1f7199;\n}\n\n.hljs-meta-string {\n color: #4d99bf;\n}\n\n\n/* Misc effects */\n\n.hljs-emphasis {\n font-style: italic;\n}\n\n.hljs-strong {\n font-weight: bold;\n}\n",
"type": "text/css",
"title": "$:/plugins/tiddlywiki/highlight/highlight.css",
"tags": "[[$:/tags/Stylesheet]]"
},
"$:/plugins/tiddlywiki/highlight/highlightblock.js": {
"title": "$:/plugins/tiddlywiki/highlight/highlightblock.js",
"text": "/*\\\ntitle: $:/plugins/tiddlywiki/highlight/highlightblock.js\ntype: application/javascript\nmodule-type: widget\n\nWraps up the fenced code blocks parser for highlight and use in TiddlyWiki5\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar TYPE_MAPPINGS_BASE = \"$:/config/HighlightPlugin/TypeMappings/\";\n\nvar CodeBlockWidget = require(\"$:/core/modules/widgets/codeblock.js\").codeblock;\n\nvar hljs = require(\"$:/plugins/tiddlywiki/highlight/highlight.js\");\n\nhljs.configure({tabReplace: \" \"});\t\n\nCodeBlockWidget.prototype.postRender = function() {\n\tvar domNode = this.domNodes[0],\n\t\tlanguage = this.language,\n\t\ttiddler = this.wiki.getTiddler(TYPE_MAPPINGS_BASE + language);\n\tif(tiddler) {\n\t\tlanguage = tiddler.fields.text || \"\";\n\t}\n\tif(language && hljs.getLanguage(language)) {\n\t\tdomNode.className = language.toLowerCase() + \" hljs\";\n\t\tif($tw.browser && !domNode.isTiddlyWikiFakeDom) {\n\t\t\thljs.highlightBlock(domNode);\t\t\t\n\t\t} else {\n\t\t\tvar text = domNode.textContent;\n\t\t\tdomNode.children[0].innerHTML = hljs.fixMarkup(hljs.highlight(language,text).value);\n\t\t\t// If we're using the fakedom then specially save the original raw text\n\t\t\tif(domNode.isTiddlyWikiFakeDom) {\n\t\t\t\tdomNode.children[0].textInnerHTML = text;\n\t\t\t}\n\t\t}\n\t}\t\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/plugins/tiddlywiki/highlight/howto": {
"title": "$:/plugins/tiddlywiki/highlight/howto",
"text": "! Supporting Additional Languages\n \nThe [[highlight.js|https://github.com/highlightjs/highlight.js]] project supports many languages. Only a subset of these languages are supported by the plugin. It is possible for users to change the set of languages supported by the plugin by following these steps:\n \n# Go to the highlight.js project [[download page|https://highlightjs.org/download/]], select the language definitions to include, and press the Download button to download a zip archive containing customised support files for a highlight.js syntax highlighting server.\n# Locate the `highlight.pack.js` file in the highlight plugin -- on a stock Debian 8 system running Tiddlywiki5 under node-js it is located at `/usr/local/lib/node_modules/tiddlywiki/plugins/tiddlywiki/highlight/files/highlight.pack.js`.\n# Replace the plugin `highlight.pack.js` file located in step 2 with the one from the downloaded archive obtained in step 1.\n# Restart the Tiddlywiki server.\n"
},
"$:/plugins/tiddlywiki/highlight/license": {
"title": "$:/plugins/tiddlywiki/highlight/license",
"type": "text/plain",
"text": "Copyright (c) 2006, Ivan Sagalaev\nAll rights reserved.\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n * Redistributions of source code must retain the above copyright\n notice, this list of conditions and the following disclaimer.\n * Redistributions in binary form must reproduce the above copyright\n notice, this list of conditions and the following disclaimer in the\n documentation and/or other materials provided with the distribution.\n * Neither the name of highlight.js nor the names of its contributors\n may be used to endorse or promote products derived from this software\n without specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS ``AS IS'' AND ANY\nEXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED\nWARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE REGENTS AND CONTRIBUTORS BE LIABLE FOR ANY\nDIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES\n(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;\nLOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND\nON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT\n(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\nSOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n"
},
"$:/plugins/tiddlywiki/highlight/readme": {
"title": "$:/plugins/tiddlywiki/highlight/readme",
"text": "This plugin provides syntax highlighting of code blocks using v9.18.1 of [[highlight.js|https://github.com/isagalaev/highlight.js]] from Ivan Sagalaev.\n\n! Usage\n\nWhen the plugin is installed it automatically applies highlighting to all codeblocks defined with triple backticks or with the CodeBlockWidget.\n\nThe language can optionally be specified after the opening triple braces:\n\n<$codeblock code=\"\"\"```css\n * { margin: 0; padding: 0; } /* micro reset */\n\nhtml { font-size: 62.5%; }\nbody { font-size: 14px; font-size: 1.4rem; } /* =14px */\nh1 { font-size: 24px; font-size: 2.4rem; } /* =24px */\n```\"\"\"/>\n\nIf no language is specified highlight.js will attempt to automatically detect the language.\n\n! Built-in Language Brushes\n\nThe plugin includes support for the following languages (referred to as \"brushes\" by highlight.js):\n\n* apache\n* arduino\n* arm assembly\n* asciidoc\n* autohotkey\n* awk\n* bash\n* cmake\n* coffeescript\n* cpp\n* cs\n* css\n* diff\n* dockerfile\n* erlang\n* elixir\n* fortran\n* go\n* gradle\n* haskell\n* html\n* http\n* ini\n* intel x86 assembly\n* java\n* javascript\n* json\n* kotlin\n* less\n* lua\n* makefile\n* markdown\n* mathematica\n* matlab\n* nginx\n* objectivec\n* perl\n* php\n* plaintext\n* powershell\n* properties\n* python\n* R\n* ruby\n* rust\n* scss\n* shell session\n* sql\n* swift\n* toml\n* typescript\n* vala\n* vim script\n* xml\n* yaml\n\nYou can also specify the language as a MIME content type (eg `text/html` or `text/css`). The mapping is accomplished via mapping tiddlers whose titles start with `$:/config/HighlightPlugin/TypeMappings/`.\n"
},
"$:/plugins/tiddlywiki/highlight/styles": {
"title": "$:/plugins/tiddlywiki/highlight/styles",
"tags": "[[$:/tags/Stylesheet]]",
"text": ".hljs{display:block;overflow-x:auto;padding:.5em;color:#333;background:#f8f8f8;-webkit-text-size-adjust:none}.hljs-comment,.diff .hljs-header,.hljs-javadoc{color:#998;font-style:italic}.hljs-keyword,.css .rule .hljs-keyword,.hljs-winutils,.nginx .hljs-title,.hljs-subst,.hljs-request,.hljs-status{color:#333;font-weight:bold}.hljs-number,.hljs-hexcolor,.ruby .hljs-constant{color:teal}.hljs-string,.hljs-tag .hljs-value,.hljs-phpdoc,.hljs-dartdoc,.tex .hljs-formula{color:#d14}.hljs-title,.hljs-id,.scss .hljs-preprocessor{color:#900;font-weight:bold}.hljs-list .hljs-keyword,.hljs-subst{font-weight:normal}.hljs-class .hljs-title,.hljs-type,.vhdl .hljs-literal,.tex .hljs-command{color:#458;font-weight:bold}.hljs-tag,.hljs-tag .hljs-title,.hljs-rule .hljs-property,.django .hljs-tag .hljs-keyword{color:navy;font-weight:normal}.hljs-attribute,.hljs-variable,.lisp .hljs-body,.hljs-name{color:teal}.hljs-regexp{color:#009926}.hljs-symbol,.ruby .hljs-symbol .hljs-string,.lisp .hljs-keyword,.clojure .hljs-keyword,.scheme .hljs-keyword,.tex .hljs-special,.hljs-prompt{color:#990073}.hljs-built_in{color:#0086b3}.hljs-preprocessor,.hljs-pragma,.hljs-pi,.hljs-doctype,.hljs-shebang,.hljs-cdata{color:#999;font-weight:bold}.hljs-deletion{background:#fdd}.hljs-addition{background:#dfd}.diff .hljs-change{background:#0086b3}.hljs-chunk{color:#aaa}"
},
"$:/plugins/tiddlywiki/highlight/usage": {
"title": "$:/plugins/tiddlywiki/highlight/usage",
"text": "! Usage\n\nFenced code blocks can have a language specifier added to trigger highlighting in a specific language. Otherwise heuristics are used to detect the language.\n\n```\n ```js\n var a = b + c; // Highlighted as JavaScript\n ```\n```\n! Adding Themes\n\nYou can add themes from highlight.js by copying the CSS to a new tiddler and tagging it with [[$:/tags/Stylesheet]]. The available themes can be found on GitHub:\n\nhttps://github.com/isagalaev/highlight.js/tree/master/src/styles\n"
}
}
}
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"list-after": "$:/core/ui/EditorToolbar/bold",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/bold",
"caption": "{{$:/language/Buttons/Bold/Caption}} (Markdown)",
"description": "{{$:/language/Buttons/Bold/Hint}}",
"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((bold))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"**\"\n\tsuffix=\"**\"\n/>\n"
},
"$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-1": {
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"list-after": "$:/core/ui/EditorToolbar/heading-1",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-1",
"caption": "{{$:/language/Buttons/Heading1/Caption}} (Markdown)",
"description": "{{$:/language/Buttons/Heading1/Hint}}",
"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((heading-1))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"1\"\n/>\n"
},
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"tags": "$:/tags/EditorToolbar",
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"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((heading-2))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"2\"\n/>\n"
},
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"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-3",
"caption": "{{$:/language/Buttons/Heading3/Caption}} (Markdown)",
"description": "{{$:/language/Buttons/Heading3/Hint}}",
"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((heading-3))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"3\"\n/>\n"
},
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"caption": "{{$:/language/Buttons/Heading4/Caption}} (Markdown)",
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"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((heading-4))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"4\"\n/>\n"
},
"$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-5": {
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"list-after": "$:/core/ui/EditorToolbar/heading-5",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-5",
"caption": "{{$:/language/Buttons/Heading5/Caption}} (Markdown)",
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"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((heading-5))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"5\"\n/>\n"
},
"$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-6": {
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"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-6",
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"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((heading-6))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"6\"\n/>\n"
},
"$:/plugins/tiddlywiki/markdown/EditorToolbar/italic": {
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"tags": "$:/tags/EditorToolbar",
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"caption": "{{$:/language/Buttons/Italic/Caption}} (Markdown)",
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"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((italic))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"*\"\n\tsuffix=\"*\"\n/>\n"
},
"$:/plugins/tiddlywiki/markdown/EditorToolbar/list-bullet": {
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"list-after": "$:/core/ui/EditorToolbar/list-bullet",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/list-bullet",
"caption": "{{$:/language/Buttons/ListBullet/Caption}} (Markdown)",
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"$:/plugins/tiddlywiki/markdown/EditorToolbar/list-number": {
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"tags": "$:/tags/EditorToolbar",
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"condition": "[<targetTiddler>type[text/x-markdown]]",
"shortcuts": "((list-number))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"1.\"\n\tcount=\"1\"\n/>\n"
},
"$:/plugins/tiddlywiki/markdown/EditorToolbar/mono-line": {
"title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/mono-line",
"list-after": "$:/core/ui/EditorToolbar/mono-line",
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"icon": "$:/core/images/mono-line",
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t,r,n,o,s,i,a,u,l,c,p,h,f,g,d,m,b;if(e.options.typographer)for(b=[],d=e.tokens.length-1;d>=0;d--)if(\"inline\"===e.tokens[d].type)for(m=e.tokens[d].children,b.length=0,t=0;t<m.length;t++)if(\"text\"===(r=m[t]).type&&!P.test(r.text)){for(a=m[t].level,f=b.length-1;f>=0&&!(b[f].level<=a);f--);b.length=f+1,s=0,i=(n=r.content).length;e:for(;s<i&&(j.lastIndex=s,o=j.exec(n));)if(u=!U(n,o.index-1),s=o.index+1,g=\"'\"===o[0],(l=!U(n,s))||u){if(p=!l,h=!u)for(f=b.length-1;f>=0&&(c=b[f],!(b[f].level<a));f--)if(c.single===g&&b[f].level===a){c=b[f],g?(m[c.token].content=H(m[c.token].content,c.pos,e.options.quotes[2]),r.content=H(r.content,o.index,e.options.quotes[3])):(m[c.token].content=H(m[c.token].content,c.pos,e.options.quotes[0]),r.content=H(r.content,o.index,e.options.quotes[1])),b.length=f;continue e}p?b.push({token:t,pos:o.index,single:g,level:a}):h&&g&&(r.content=H(r.content,o.index,O))}else g&&(r.content=H(r.content,o.index,O))}}]];function G(){this.options={},this.ruler=new C;for(var 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r,n=e.bMarks[t]+e.tShift[t],o=e.eMarks[t];if(n+1>=o)return-1;if((r=e.src.charCodeAt(n++))<48||r>57)return-1;for(;;){if(n>=o)return-1;if(!((r=e.src.charCodeAt(n++))>=48&&r<=57)){if(41===r||46===r)break;return-1}}return n<o&&32!==e.src.charCodeAt(n)?-1:n}G.prototype.process=function(e){var t,r,n;for(t=0,r=(n=this.ruler.getRules(\"\")).length;t<r;t++)n[t](e)},$.prototype.isEmpty=function(e){return this.bMarks[e]+this.tShift[e]>=this.eMarks[e]},$.prototype.skipEmptyLines=function(e){for(var t=this.lineMax;e<t&&!(this.bMarks[e]+this.tShift[e]<this.eMarks[e]);e++);return e},$.prototype.skipSpaces=function(e){for(var t=this.src.length;e<t&&32===this.src.charCodeAt(e);e++);return e},$.prototype.skipChars=function(e,t){for(var r=this.src.length;e<r&&this.src.charCodeAt(e)===t;e++);return e},$.prototype.skipCharsBack=function(e,t,r){if(e<=r)return e;for(;e>r;)if(t!==this.src.charCodeAt(--e))return e+1;return e},$.prototype.getLines=function(e,t,r,n){var 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32===e.src.charCodeAt(d)&&d++,a.push(e.bMarks[o]),e.bMarks[o]=d,s=(d=d<m?e.skipSpaces(d):d)>=m,i.push(e.tShift[o]),e.tShift[o]=d-e.bMarks[o];for(l=e.parentType,e.parentType=\"blockquote\",e.tokens.push({type:\"blockquote_open\",lines:c=[t,0],level:e.level++}),e.parser.tokenize(e,t,o),e.tokens.push({type:\"blockquote_close\",level:--e.level}),e.parentType=l,c[1]=e.line,h=0;h<i.length;h++)e.bMarks[h+t]=a[h],e.tShift[h+t]=i[h];return e.blkIndent=u,!0},[\"paragraph\",\"blockquote\",\"list\"]],[\"hr\",function(e,t,r,n){var o,s,i,a=e.bMarks[t],u=e.eMarks[t];if((a+=e.tShift[t])>u)return!1;if(42!==(o=e.src.charCodeAt(a++))&&45!==o&&95!==o)return!1;for(s=1;a<u;){if((i=e.src.charCodeAt(a++))!==o&&32!==i)return!1;i===o&&s++}return!(s<3||!n&&(e.line=t+1,e.tokens.push({type:\"hr\",lines:[t,e.line],level:e.level}),0))},[\"paragraph\",\"blockquote\",\"list\"]],[\"list\",function(e,t,r,n){var o,s,i,a,u,l,c,p,h,f,g,d,m,b,v,k,A,y,x,w,C,E=!0;if((p=W(e,t))>=0)d=!0;else{if(!((p=Z(e,t))>=0))return!1;d=!1}if(e.level>=e.options.maxNesting)return!1;if(g=e.src.charCodeAt(p-1),n)return!0;for(b=e.tokens.length,d?(c=e.bMarks[t]+e.tShift[t],f=Number(e.src.substr(c,p-c-1)),e.tokens.push({type:\"ordered_list_open\",order:f,lines:k=[t,0],level:e.level++})):e.tokens.push({type:\"bullet_list_open\",lines:k=[t,0],level:e.level++}),o=t,v=!1,y=e.parser.ruler.getRules(\"list\");!(!(o<r)||((h=(m=e.skipSpaces(p))>=e.eMarks[o]?1:m-p)>4&&(h=1),h<1&&(h=1),s=p-e.bMarks[o]+h,e.tokens.push({type:\"list_item_open\",lines:A=[t,0],level:e.level++}),a=e.blkIndent,u=e.tight,i=e.tShift[t],l=e.parentType,e.tShift[t]=m-e.bMarks[t],e.blkIndent=s,e.tight=!0,e.parentType=\"list\",e.parser.tokenize(e,t,r,!0),e.tight&&!v||(E=!1),v=e.line-t>1&&e.isEmpty(e.line-1),e.blkIndent=a,e.tShift[t]=i,e.tight=u,e.parentType=l,e.tokens.push({type:\"list_item_close\",level:--e.level}),o=t=e.line,A[1]=o,m=e.bMarks[t],o>=r)||e.isEmpty(o)||e.tShift[o]<e.blkIndent);){for(C=!1,x=0,w=y.length;x<w;x++)if(y[x](e,o,r,!0)){C=!0;break}if(C)break;if(d){if((p=W(e,o))<0)break}else 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o,s,i,a=e.bMarks[t]+e.tShift[t],u=e.eMarks[t];if(a>=u)return!1;if(35!==(o=e.src.charCodeAt(a))||a>=u)return!1;for(s=1,o=e.src.charCodeAt(++a);35===o&&a<u&&s<=6;)s++,o=e.src.charCodeAt(++a);return!(s>6||a<u&&32!==o||!n&&(u=e.skipCharsBack(u,32,a),(i=e.skipCharsBack(u,35,a))>a&&32===e.src.charCodeAt(i-1)&&(u=i),e.line=t+1,e.tokens.push({type:\"heading_open\",hLevel:s,lines:[t,e.line],level:e.level}),a<u&&e.tokens.push({type:\"inline\",content:e.src.slice(a,u).trim(),level:e.level+1,lines:[t,e.line],children:[]}),e.tokens.push({type:\"heading_close\",hLevel:s,level:e.level}),0))},[\"paragraph\",\"blockquote\"]],[\"lheading\",function(e,t,r){var 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r,n,o,s,i,a,u,l,c=!1,p=e.pos,h=e.posMax,f=e.pos,g=e.src.charCodeAt(f);if(33===g&&(c=!0,g=e.src.charCodeAt(++f)),91!==g)return!1;if(e.level>=e.options.maxNesting)return!1;if(r=f+1,(n=D(e,f))<0)return!1;if((a=n+1)<h&&40===e.src.charCodeAt(a)){for(a++;a<h&&(32===(l=e.src.charCodeAt(a))||10===l);a++);if(a>=h)return!1;for(f=a,q(e,a)?(s=e.linkContent,a=e.pos):s=\"\",f=a;a<h&&(32===(l=e.src.charCodeAt(a))||10===l);a++);if(a<h&&f!==a&&F(e,a))for(i=e.linkContent,a=e.pos;a<h&&(32===(l=e.src.charCodeAt(a))||10===l);a++);else i=\"\";if(a>=h||41!==e.src.charCodeAt(a))return e.pos=p,!1;a++}else{if(e.linkLevel>0)return!1;for(;a<h&&(32===(l=e.src.charCodeAt(a))||10===l);a++);if(a<h&&91===e.src.charCodeAt(a)&&(f=a+1,(a=D(e,a))>=0?o=e.src.slice(f,a++):a=f-1),o||(void 0===o&&(a=n+1),o=e.src.slice(r,n)),!(u=e.env.references[M(o)]))return e.pos=p,!1;s=u.href,i=u.title}return 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"type": "application/javascript",
"title": "$:/plugins/tiddlywiki/markdown/remarkable.js",
"module-type": "library"
},
"$:/plugins/tiddlywiki/markdown/images/new-markdown-button": {
"title": "$:/plugins/tiddlywiki/markdown/images/new-markdown-button",
"tags": "$:/tags/Image",
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},
"$:/plugins/tiddlywiki/markdown/new-markdown-button": {
"title": "$:/plugins/tiddlywiki/markdown/new-markdown-button",
"tags": "$:/tags/PageControls",
"caption": "{{$:/plugins/tiddlywiki/markdown/images/new-markdown-button}} {{$:/language/Buttons/NewMarkdown/Caption}}",
"description": "{{$:/language/Buttons/NewMarkdown/Hint}}",
"list-after": "$:/core/ui/Buttons/new-tiddler",
"text": "\\whitespace trim\n<$button tooltip={{$:/language/Buttons/NewMarkdown/Hint}} aria-label={{$:/language/Buttons/NewMarkdown/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-new-tiddler\" type=\"text/x-markdown\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/plugins/tiddlywiki/markdown/images/new-markdown-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewMarkdown/Caption}}/></span>\n</$list>\n</$button>\n"
},
"$:/plugins/tiddlywiki/markdown/readme": {
"title": "$:/plugins/tiddlywiki/markdown/readme",
"text": "This is a TiddlyWiki plugin for parsing Markdown text, using the [[Remarkable|https://github.com/jonschlinkert/remarkable]] library.\n\nIt is completely self-contained, and doesn't need an Internet connection in order to work. It works both in the browser and under Node.js.\n\n[[Source code|https://github.com/Jermolene/TiddlyWiki5/blob/master/plugins/tiddlywiki/markdown]]\n"
},
"$:/plugins/tiddlywiki/markdown/usage": {
"title": "$:/plugins/tiddlywiki/markdown/usage",
"text": "! Plugin Configuration\n\n|!Config |!Default |!Description |\n| <code>[[breaks|$:/config/markdown/breaks]]</code>| ``false``|Remarkable library config: Convert '\\n' in paragraphs into ``<br>`` |\n| <code>[[linkify|$:/config/markdown/linkify]]</code>| ``false``|Remarkable library config: Autoconvert URL-like text to links |\n| <code>[[linkNewWindow|$:/config/markdown/linkNewWindow]]</code>| ``true``|For external links, should clicking on them open a new window/tab automatically? |\n| <code>[[quotes|$:/config/markdown/quotes]]</code>| ``“”‘’``|Remarkable library config: Double + single quotes replacement pairs, when ``typographer`` enabled |\n| <code>[[renderWikiText|$:/config/markdown/renderWikiText]]</code>| ``true``|After Markdown is parsed, should any text elements be handed off to the ~WikiText parser for further processing? |\n| <code>[[renderWikiTextPragma|$:/config/markdown/renderWikiTextPragma]]</code>| ``\\rules only html image macrocallinline syslink transcludeinline wikilink filteredtranscludeblock macrocallblock transcludeblock``|When handing off to the ~WikiText parser, what pragma rules should it follow? |\n| <code>[[typographer|$:/config/markdown/typographer]]</code>| ``false``|Remarkable library config: Enable some language-neutral replacement + quotes beautification |\n\n! Creating ~WikiLinks\n\nCreate wiki links with the usual Markdown link syntax targeting `#` and the target tiddler title:\n\n```\n[link text](#TiddlerTitle)\n```\n\nIf the target tiddler has a space in its name, that name must be URL-escaped to be detected as a URL:\n\n```\n[link text](#Test%20Tiddler)\n```\n\n! Images\n\nMarkdown image syntax can be used to reference images by tiddler title or an external URI. For example:\n\n```\n![alt text](/path/to/img.jpg \"Title\")\n\n![alt text](Motovun Jack.jpg \"Title\")\n```\n"
},
"$:/plugins/tiddlywiki/markdown/wrapper.js": {
"title": "$:/plugins/tiddlywiki/markdown/wrapper.js",
"text": "/*\\\ntitle: $:/plugins/tiddlywiki/markdown/wrapper.js\ntype: application/javascript\nmodule-type: parser\n\nWraps up the remarkable parser for use as a Parser in TiddlyWiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar r = require(\"$:/plugins/tiddlywiki/markdown/remarkable.js\");\n\nvar Remarkable = r.Remarkable,\n\tlinkify = r.linkify,\n\tutils = r.utils;\n\n///// Set up configuration options /////\nfunction parseAsBoolean(tiddlerName) {\n\treturn $tw.wiki.getTiddlerText(tiddlerName).toLowerCase() === \"true\";\n}\nvar pluginOpts = {\n\tlinkNewWindow: parseAsBoolean(\"$:/config/markdown/linkNewWindow\"),\n\trenderWikiText: parseAsBoolean(\"$:/config/markdown/renderWikiText\"),\n\trenderWikiTextPragma: $tw.wiki.getTiddlerText(\"$:/config/markdown/renderWikiTextPragma\").trim()\n};\nvar remarkableOpts = {\n\tbreaks: parseAsBoolean(\"$:/config/markdown/breaks\"),\n\tquotes: $tw.wiki.getTiddlerText(\"$:/config/markdown/quotes\"),\n\ttypographer: parseAsBoolean(\"$:/config/markdown/typographer\")\n};\n\nvar md = new Remarkable(remarkableOpts);\n\nif (parseAsBoolean(\"$:/config/markdown/linkify\")) {\n\tmd = md.use(linkify);\n}\n\nfunction findTagWithType(nodes, startPoint, type, level) {\n\tfor (var i = startPoint; i < nodes.length; i++) {\n\t\tif (nodes[i].type === type && nodes[i].level === level) {\n\t\t\treturn i;\n\t\t}\n\t}\n\treturn false;\n}\n\n/**\n * Remarkable creates nodes that look like:\n * [\n * { type: 'paragraph_open'},\n * { type: 'inline', content: 'Hello World', children:[{type: 'text', content: 'Hello World'}]},\n * { type: 'paragraph_close'}\n * ]\n *\n * But TiddlyWiki wants the Parser (https://tiddlywiki.com/dev/static/Parser.html) to emit nodes like:\n *\n * [\n * { type: 'element', tag: 'p', children: [{type: 'text', text: 'Hello World'}]}\n * ]\n */\nfunction convertNodes(remarkableTree, isStartOfInline) {\n\tlet out = [];\n\n\tfunction wrappedElement(elementTag, currentIndex, currentLevel, closingType, nodes) {\n\t\tvar j = findTagWithType(nodes, currentIndex + 1, closingType, currentLevel);\n\t\tif (j === false) {\n\t\t\tconsole.error(\"Failed to find a \" + closingType + \" node after position \" + currentIndex);\n\t\t\tconsole.log(nodes);\n\t\t\treturn currentIndex + 1;\n\t\t}\n\t\tlet children = convertNodes(nodes.slice(currentIndex + 1, j));\n\n\t\tout.push({\n\t\t\ttype: \"element\",\n\t\t\ttag: elementTag,\n\t\t\tchildren: children\n\t\t});\n\t\treturn j;\n\t}\n\n\tfor (var i = 0; i < remarkableTree.length; i++) {\n\t\tvar currentNode = remarkableTree[i];\n\t\tif (currentNode.type === \"paragraph_open\") {\n\t\t\ti = wrappedElement(\"p\", i, currentNode.level, \"paragraph_close\", remarkableTree);\n\t\t} else if (currentNode.type === \"heading_open\") {\n\t\t\ti = wrappedElement(\"h\" + currentNode.hLevel, i, currentNode.level, \"heading_close\", remarkableTree);\n\t\t} else if (currentNode.type === \"bullet_list_open\") {\n\t\t\ti = wrappedElement(\"ul\", i, currentNode.level, \"bullet_list_close\", remarkableTree);\n\t\t} else if (currentNode.type == 'ordered_list_open') {\n\t\t\ti = wrappedElement('ol', i, currentNode.level,'ordered_list_close', remarkableTree);\n\t\t} else if (currentNode.type === \"list_item_open\") {\n\t\t\ti = wrappedElement(\"li\", i, currentNode.level, \"list_item_close\", remarkableTree);\n\t\t} else if (currentNode.type === \"link_open\") {\n\t\t\tvar j = findTagWithType(remarkableTree, i + 1, \"link_close\", currentNode.level);\n\n\t\t\tif (currentNode.href[0] !== \"#\") {\n\t\t\t\t// External link\n\t\t\t\tvar attributes = {\n\t\t\t\t\thref: { type: \"string\", value: currentNode.href }\n\t\t\t\t};\n\t\t\t\tif (pluginOpts.linkNewWindow) {\n\t\t\t\t\tattributes.target = { type: \"string\", value: \"_blank\" };\n\t\t\t\t}\n\t\t\t\tout.push({\n\t\t\t\t\ttype: \"element\",\n\t\t\t\t\ttag: \"a\",\n\t\t\t\t\tattributes: attributes,\n\t\t\t\t\tchildren: convertNodes(remarkableTree.slice(i + 1, j))\n\t\t\t\t});\n\t\t\t} else {\n\t\t\t\t// Internal link\n\t\t\t\tout.push({\n\t\t\t\t\ttype: \"link\",\n\t\t\t\t\tattributes: {\n\t\t\t\t\t\tto: { type: \"string\", value: decodeURI(currentNode.href.substr(1)) }\n\t\t\t\t\t},\n\t\t\t\t\tchildren: convertNodes(remarkableTree.slice(i + 1, j))\n\t\t\t\t});\n\t\t\t}\n\t\t\ti = j;\n\t\t} else if (currentNode.type.substr(currentNode.type.length - 5) === \"_open\") {\n\t\t\tvar tagName = currentNode.type.substr(0, currentNode.type.length - 5);\n\t\t\ti = wrappedElement(tagName, i, currentNode.level, tagName + \"_close\", remarkableTree);\n\t\t} else if (currentNode.type === \"code\") {\n\t\t\tout.push({\n\t\t\t\ttype: \"element\",\n\t\t\t\ttag: currentNode.block ? \"pre\" : \"code\",\n\t\t\t\tchildren: [{ type: \"text\", text: currentNode.content }]\n\t\t\t});\n\t\t} else if (currentNode.type === \"fence\") {\n\t\t\tout.push({\n\t\t\t\ttype: \"codeblock\",\n\t\t\t\tattributes: {\n\t\t\t\t\tlanguage: { type: \"string\", value: currentNode.params },\n\t\t\t\t\tcode: { type: \"string\", value: currentNode.content }\n\t\t\t\t}\n\t\t\t});\n\t\t} else if (currentNode.type === \"image\") {\n\t\t\tout.push({\n\t\t\t\ttype: \"image\",\n\t\t\t\tattributes: {\n\t\t\t\t\ttooltip: { type: \"string\", value: currentNode.alt },\n\t\t\t\t\tsource: { type: \"string\", value: currentNode.src }\n\t\t\t\t}\n\t\t\t});\n\t\t} else if (currentNode.type === \"softbreak\") {\n\t\t\tout.push({\n\t\t\t\ttype: \"element\",\n\t\t\t\ttag: \"br\",\n\t\t\t});\n\t\t} else if (currentNode.type == 'hr') {\n\t\t\tout.push({\n\t\t\t\ttype: 'element',\n\t\t\t\ttag: 'hr',\n\t\t\t});\n\t\t} else if (currentNode.type === \"inline\") {\n\t\t\tout = out.concat(convertNodes(currentNode.children, true));\n\t\t} else if (currentNode.type === \"text\") {\n\t\t\tif (!pluginOpts.renderWikiText) {\n\t\t\t\tout.push({\n\t\t\t\t\ttype: \"text\",\n\t\t\t\t\ttext: currentNode.content\n\t\t\t\t});\n\t\t\t} else {\n\t\t\t\t// The Markdown compiler thinks this is just text.\n\t\t\t\t// Hand off to the WikiText parser to see if there's more to render\n\n\t\t\t\t// If we're inside a block element (div, p, td, h1), and this is the first child in the tree,\n\t\t\t\t// handle as a block-level parse. Otherwise not.\n\t\t\t\tvar parseAsInline = !(isStartOfInline && i === 0);\n\t\t\t\tvar textToParse = currentNode.content;\n\t\t\t\tif (pluginOpts.renderWikiTextPragma !== \"\") {\n\t\t\t\t\ttextToParse = pluginOpts.renderWikiTextPragma + \"\\n\" + textToParse;\n\t\t\t\t}\n\t\t\t\tvar wikiParser = $tw.wiki.parseText(\"text/vnd.tiddlywiki\", textToParse, {\n\t\t\t\t\tparseAsInline: parseAsInline\n\t\t\t\t});\n\t\t\t\tvar rs = wikiParser.tree;\n\n\t\t\t\t// If we parsed as a block, but the root element the WikiText parser gave is a paragraph,\n\t\t\t\t// we should discard the paragraph, since the way Remarkable nests its nodes, this \"inline\"\n\t\t\t\t// node is always inside something else that's a block-level element\n\t\t\t\tif (!parseAsInline\n\t\t\t\t\t&& rs.length === 1\n\t\t\t\t\t&& rs[0].type === \"element\"\n\t\t\t\t\t&& rs[0].tag === \"p\"\n\t\t\t\t) {\n\t\t\t\t\trs = rs[0].children;\n\t\t\t\t}\n\n\t\t\t\t// If the original text element started with a space, add it back in\n\t\t\t\tif (rs.length > 0\n\t\t\t\t\t&& rs[0].type === \"text\"\n\t\t\t\t\t&& currentNode.content[0] === \" \"\n\t\t\t\t) {\n\t\t\t\t\trs[0].text = \" \" + rs[0].text;\n\t\t\t\t}\n\t\t\t\tout = out.concat(rs);\n\t\t\t}\n\t\t} else {\n\t\t\tconsole.error(\"Unknown node type: \" + currentNode.type, currentNode);\n\t\t\tout.push({\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: currentNode.content\n\t\t\t});\n\t\t}\n\t}\n\treturn out;\n}\n\nvar MarkdownParser = function(type, text, options) {\n\tvar tree = md.parse(text, {});\n\t//console.debug(tree);\n\ttree = convertNodes(tree);\n\t//console.debug(tree);\n\n\tthis.tree = tree;\n};\n\nexports[\"text/x-markdown\"] = MarkdownParser;\n\n})();\n",
"type": "application/javascript",
"module-type": "parser"
}
}
}
{
"tiddlers": {
"$:/plugins/tiddlywiki/powered-by-tiddlywiki/banner": {
"title": "$:/plugins/tiddlywiki/powered-by-tiddlywiki/banner",
"tags": "$:/tags/PageTemplate",
"text": "<a href=\"https://tiddlywiki.com\" target=\"_blank\" rel=\"noopener noreferrer\">\n[img width=\"160px\" class=\"tc-powered-by-tiddlywiki-banner\" [$:/plugins/tiddlywiki/powered-by-tiddlywiki/powered-by-tiddlywiki.svg]]\n</a>\n"
},
"$:/plugins/tiddlywiki/powered-by-tiddlywiki/powered-by-tiddlywiki.svg": {
"title": "$:/plugins/tiddlywiki/powered-by-tiddlywiki/powered-by-tiddlywiki.svg",
"type": "image/svg+xml",
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},
"$:/plugins/tiddlywiki/powered-by-tiddlywiki/readme": {
"title": "$:/plugins/tiddlywiki/powered-by-tiddlywiki/readme",
"text": "This plugin adds a \"Powered by ~TiddlyWiki\" banner that links back to https://tiddlywiki.com\n\nIt's very basic at the moment, but the plan is to improve it by making it more customisable.\n"
},
"$:/plugins/tiddlywiki/powered-by-tiddlywiki/styles": {
"title": "$:/plugins/tiddlywiki/powered-by-tiddlywiki/styles",
"tags": "$:/tags/Stylesheet",
"text": ".tc-powered-by-tiddlywiki-banner {\n\tposition: fixed;\n\tright: 1em;\n\tbottom: 0;\n z-index: 2000;\n}"
}
}
}
Cartographic Symbolization and Design: ARC/INFO Methods
AML Cartography
yes
no
no
no
no
yes
$:/core/ui/ControlPanel/Theme
$:/core/ui/ControlPanel/Basics
$:/core/ui/ControlPanel/Plugins/Add/Plugins
$:/core/ui/ControlPanel/TiddlerFields
$:/core/ui/ControlPanel/Info
$:/core/ui/MoreSideBar/System
TableOfContents
$:/core/ui/ControlPanel/Toolbars/ViewToolbar
close
close
close
close
close
close
close
close
close
open
open
open
no
Alan Brenner
.tc-drop-down {
backgroup-color: red;
border: 2px solid;
word-wrap: break-word;
}
{
"tiddlers": {
"$:/info/browser": {
"title": "$:/info/browser",
"text": "yes"
},
"$:/info/node": {
"title": "$:/info/node",
"text": "no"
},
"$:/info/url/full": {
"title": "$:/info/url/full",
"text": "file:///home/alan/Downloads/tiddlywikilocations/amlcartography.html"
},
"$:/info/url/host": {
"title": "$:/info/url/host",
"text": ""
},
"$:/info/url/hostname": {
"title": "$:/info/url/hostname",
"text": ""
},
"$:/info/url/protocol": {
"title": "$:/info/url/protocol",
"text": "file:"
},
"$:/info/url/port": {
"title": "$:/info/url/port",
"text": ""
},
"$:/info/url/pathname": {
"title": "$:/info/url/pathname",
"text": "/home/alan/Downloads/tiddlywikilocations/amlcartography.html"
},
"$:/info/url/search": {
"title": "$:/info/url/search",
"text": ""
},
"$:/info/url/origin": {
"title": "$:/info/url/origin",
"text": "null"
},
"$:/info/browser/screen/width": {
"title": "$:/info/browser/screen/width",
"text": "1600"
},
"$:/info/browser/screen/height": {
"title": "$:/info/browser/screen/height",
"text": "900"
},
"$:/info/browser/language": {
"title": "$:/info/browser/language",
"text": "en-US"
}
}
}
loaded
$:/themes/tiddlywiki/snowwhite
{
"tiddlers": {
"$:/themes/tiddlywiki/snowwhite/base": {
"title": "$:/themes/tiddlywiki/snowwhite/base",
"tags": "[[$:/tags/Stylesheet]]",
"text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\n.tc-sidebar-header {\n\ttext-shadow: 0 1px 0 <<colour sidebar-foreground-shadow>>;\n}\n\n.tc-tiddler-info {\n\t<<box-shadow \"inset 1px 2px 3px rgba(0,0,0,0.1)\">>\n}\n\n@media screen {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow \"1px 1px 5px rgba(0, 0, 0, 0.3)\">>\n\t}\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow none>>\n\t}\n}\n\n.tc-page-controls button svg, .tc-tiddler-controls button svg, .tc-topbar button svg {\n\t<<transition \"fill 150ms ease-in-out\">>\n}\n\n.tc-tiddler-controls button.tc-selected,\n.tc-page-controls button.tc-selected {\n\t<<filter \"drop-shadow(0px -1px 2px rgba(0,0,0,0.25))\">>\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-edit-tags {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-tiddler-frame .tc-edit-tags input.tc-edit-texteditor {\n\t<<box-shadow \"none\">>\n\tborder: none;\n\toutline: none;\n}\n\ntextarea.tc-edit-texteditor {\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/editorfontfamily}};\n}\n\ncanvas.tc-edit-bitmapeditor {\n\t<<box-shadow \"2px 2px 5px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-drop-down {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-block-dropdown {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-modal {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n}\n\n.tc-modal-footer {\n\tborder-radius: 0 0 6px 6px;\n\t<<box-shadow \"inset 0 1px 0 #fff\">>;\n}\n\n\n.tc-alert {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.6)\">>\n}\n\n.tc-notification {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n\ttext-shadow: 0 1px 0 rgba(255,255,255, 0.8);\n}\n\n.tc-sidebar-lists .tc-tab-set .tc-tab-divider {\n\tborder-top: none;\n\theight: 1px;\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.15) 0%, rgba(0,0,0,0.0) 100%\">>\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.01) 0%, rgba(0,0,0,0.1) 100%\">>\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button.tc-tab-selected {\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.05) 0%, rgba(255,255,255,0.05) 100%\">>\n}\n\n.tc-message-box img {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n\n.tc-plugin-info {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n"
}
}
}
{
"tiddlers": {
"$:/themes/tiddlywiki/vanilla/themetweaks": {
"title": "$:/themes/tiddlywiki/vanilla/themetweaks",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ThemeTweaks/ThemeTweaks}}",
"text": "\\define lingo-base() $:/language/ThemeTweaks/\n\n\\define replacement-text()\n[img[$(imageTitle)$]]\n\\end\n\n\\define backgroundimage-dropdown()\n<div class=\"tc-drop-down-wrapper\">\n<$button popup=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n<div class=\"tc-drop-down\">\n<$macrocall $name=\"image-picker\" actions=\"\"\"\n\n<$action-setfield\n\t$tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\"\n\t$value=<<imageTitle>>\n/>\n\n\"\"\"/>\n</div>\n</$reveal>\n</div>\n\\end\n\n\\define backgroundimageattachment-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\" default=\"scroll\">\n<option value=\"scroll\"><<lingo Settings/BackgroundImageAttachment/Scroll>></option>\n<option value=\"fixed\"><<lingo Settings/BackgroundImageAttachment/Fixed>></option>\n</$select>\n\\end\n\n\\define backgroundimagesize-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\" default=\"scroll\">\n<option value=\"auto\"><<lingo Settings/BackgroundImageSize/Auto>></option>\n<option value=\"cover\"><<lingo Settings/BackgroundImageSize/Cover>></option>\n<option value=\"contain\"><<lingo Settings/BackgroundImageSize/Contain>></option>\n</$select>\n\\end\n\n<<lingo ThemeTweaks/Hint>>\n\n! <<lingo Options>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><<lingo Options/SidebarLayout>></$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><option value=\"fixed-fluid\"><<lingo Options/SidebarLayout/Fixed-Fluid>></option><option value=\"fluid-fixed\"><<lingo Options/SidebarLayout/Fluid-Fixed>></option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><<lingo Options/StickyTitles>></$link><br>//<<lingo Options/StickyTitles/Hint>>// |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><option value=\"no\">{{$:/language/No}}</option><option value=\"yes\">{{$:/language/Yes}}</option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/codewrapping\"><<lingo Options/CodeWrapping>></$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/codewrapping\"><option value=\"pre\">{{$:/language/No}}</option><option value=\"pre-wrap\">{{$:/language/Yes}}</option></$select> |\n\n! <<lingo Settings>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\"><<lingo Settings/FontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\"><<lingo Settings/CodeFontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/editorfontfamily\"><<lingo Settings/EditorFontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/editorfontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\"><<lingo Settings/BackgroundImage>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\" default=\"\" tag=\"input\"/> |<<backgroundimage-dropdown>> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\"><<lingo Settings/BackgroundImageAttachment>></$link> |<<backgroundimageattachment-dropdown>> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\"><<lingo Settings/BackgroundImageSize>></$link> |<<backgroundimagesize-dropdown>> | |\n\n! <<lingo Metrics>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\"><<lingo Metrics/FontSize>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\"><<lingo Metrics/LineHeight>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\"><<lingo Metrics/BodyFontSize>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\"><<lingo Metrics/BodyLineHeight>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\"><<lingo Metrics/StoryLeft>></$link><br>//<<lingo Metrics/StoryLeft/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\"><<lingo Metrics/StoryTop>></$link><br>//<<lingo Metrics/StoryTop/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\"><<lingo Metrics/StoryRight>></$link><br>//<<lingo Metrics/StoryRight/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\"><<lingo Metrics/StoryWidth>></$link><br>//<<lingo Metrics/StoryWidth/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\"><<lingo Metrics/TiddlerWidth>></$link><br>//<<lingo Metrics/TiddlerWidth/Hint>>//<br> |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\"><<lingo Metrics/SidebarBreakpoint>></$link><br>//<<lingo Metrics/SidebarBreakpoint/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\"><<lingo Metrics/SidebarWidth>></$link><br>//<<lingo Metrics/SidebarWidth/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\" default=\"\" tag=\"input\"/> |\n"
},
"$:/themes/tiddlywiki/vanilla/base": {
"title": "$:/themes/tiddlywiki/vanilla/base",
"tags": "[[$:/tags/Stylesheet]]",
"text": "\\define custom-background-datauri()\n<$set name=\"background\" value={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}>\n<$list filter=\"[<background>is[image]]\">\n`background: url(`\n<$list filter=\"[<background>!has[_canonical_uri]]\">\n`\"`<$macrocall $name=\"datauri\" title={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}/>`\"`\n</$list>\n<$list filter=\"[<background>has[_canonical_uri]]\">\n`\"`<$view tiddler={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}} field=\"_canonical_uri\"/>`\"`\n</$list>\n`) center center;`\n`background-attachment: `{{$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment}}`;\n-webkit-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-moz-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-o-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\nbackground-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;`\n</$list>\n</$set>\n\\end\n\n\\define if-fluid-fixed(text,hiddenSidebarText)\n<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\" type=\"match\" text=\"fluid-fixed\">\n$text$\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"yes\" default=\"yes\">\n$hiddenSidebarText$\n</$reveal>\n</$reveal>\n\\end\n\n\\define if-editor-height-fixed(then,else)\n<$reveal state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"fixed\">\n$then$\n</$reveal>\n<$reveal state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"auto\">\n$else$\n</$reveal>\n\\end\n\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline macrocallblock\n\n/*\n** Start with the normalize CSS reset, and then belay some of its effects\n*/\n\n{{$:/themes/tiddlywiki/vanilla/reset}}\n\n*, input[type=\"search\"] {\n\tbox-sizing: border-box;\n\t-moz-box-sizing: border-box;\n\t-webkit-box-sizing: border-box;\n}\n\nhtml button {\n\tline-height: 1.2;\n\tcolor: <<colour button-foreground>>;\n\tbackground: <<colour button-background>>;\n\tborder-color: <<colour button-border>>;\n}\n\n/*\n** Basic element styles\n*/\n\nhtml {\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/fontfamily}};\n\ttext-rendering: optimizeLegibility; /* Enables kerning and ligatures etc. */\n\t-webkit-font-smoothing: antialiased;\n\t-moz-osx-font-smoothing: grayscale;\n}\n\nhtml:-webkit-full-screen {\n\tbackground-color: <<colour page-background>>;\n}\n\nbody.tc-body {\n\tfont-size: {{$:/themes/tiddlywiki/vanilla/metrics/fontsize}};\n\tline-height: {{$:/themes/tiddlywiki/vanilla/metrics/lineheight}};\n\tword-wrap: break-word;\n\t<<custom-background-datauri>>\n\tcolor: <<colour foreground>>;\n\tbackground-color: <<colour page-background>>;\n\tfill: <<colour foreground>>;\n}\n\n<<if-background-attachment \"\"\"\n\nbody.tc-body {\n background-color: transparent;\n}\n\n\"\"\">>\n\nh1, h2, h3, h4, h5, h6 {\n\tline-height: 1.2;\n\tfont-weight: 300;\n}\n\npre {\n\tdisplay: block;\n\tpadding: 14px;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n\tword-break: normal;\n\tword-wrap: break-word;\n\twhite-space: {{$:/themes/tiddlywiki/vanilla/options/codewrapping}};\n\tbackground-color: <<colour pre-background>>;\n\tborder: 1px solid <<colour pre-border>>;\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/codefontfamily}};\n}\n\ncode {\n\tcolor: <<colour code-foreground>>;\n\tbackground-color: <<colour code-background>>;\n\tborder: 1px solid <<colour code-border>>;\n\twhite-space: {{$:/themes/tiddlywiki/vanilla/options/codewrapping}};\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/codefontfamily}};\n}\n\nblockquote {\n\tborder-left: 5px solid <<colour blockquote-bar>>;\n\tmargin-left: 25px;\n\tpadding-left: 10px;\n\tquotes: \"\\201C\"\"\\201D\"\"\\2018\"\"\\2019\";\n}\n\nblockquote > div {\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n}\n\nblockquote.tc-big-quote {\n\tfont-family: Georgia, serif;\n\tposition: relative;\n\tbackground: <<colour pre-background>>;\n\tborder-left: none;\n\tmargin-left: 50px;\n\tmargin-right: 50px;\n\tpadding: 10px;\n border-radius: 8px;\n}\n\nblockquote.tc-big-quote cite:before {\n\tcontent: \"\\2014 \\2009\";\n}\n\nblockquote.tc-big-quote:before {\n\tfont-family: Georgia, serif;\n\tcolor: <<colour blockquote-bar>>;\n\tcontent: open-quote;\n\tfont-size: 8em;\n\tline-height: 0.1em;\n\tmargin-right: 0.25em;\n\tvertical-align: -0.4em;\n\tposition: absolute;\n left: -50px;\n top: 42px;\n}\n\nblockquote.tc-big-quote:after {\n\tfont-family: Georgia, serif;\n\tcolor: <<colour blockquote-bar>>;\n\tcontent: close-quote;\n\tfont-size: 8em;\n\tline-height: 0.1em;\n\tmargin-right: 0.25em;\n\tvertical-align: -0.4em;\n\tposition: absolute;\n right: -80px;\n bottom: -20px;\n}\n\ndl dt {\n\tfont-weight: bold;\n\tmargin-top: 6px;\n}\n\nbutton, textarea, input, select {\n\toutline-color: <<colour primary>>;\n}\n\ntextarea,\ninput[type=text],\ninput[type=search],\ninput[type=\"\"],\ninput:not([type]) {\n\tcolor: <<colour foreground>>;\n\tbackground: <<colour background>>;\n}\n\ninput[type=\"checkbox\"] {\n vertical-align: middle;\n}\n\n.tc-muted {\n\tcolor: <<colour muted-foreground>>;\n}\n\nsvg.tc-image-button {\n\tpadding: 0px 1px 1px 0px;\n}\n\n.tc-icon-wrapper > svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\nkbd {\n\tdisplay: inline-block;\n\tpadding: 3px 5px;\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tcolor: <<colour foreground>>;\n\tvertical-align: middle;\n\tbackground-color: <<colour background>>;\n\tborder: solid 1px <<colour muted-foreground>>;\n\tborder-bottom-color: <<colour muted-foreground>>;\n\tborder-radius: 3px;\n\tbox-shadow: inset 0 -1px 0 <<colour muted-foreground>>;\n}\n\n/*\nMarkdown likes putting code elements inside pre elements\n*/\npre > code {\n\tpadding: 0;\n\tborder: none;\n\tbackground-color: inherit;\n\tcolor: inherit;\n}\n\ntable {\n\tborder: 1px solid <<colour table-border>>;\n\twidth: auto;\n\tmax-width: 100%;\n\tcaption-side: bottom;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n\t/* next 2 elements needed, since normalize 8.0.1 */\n\tborder-collapse: collapse;\n\tborder-spacing: 0;\n}\n\ntable th, table td {\n\tpadding: 0 7px 0 7px;\n\tborder-top: 1px solid <<colour table-border>>;\n\tborder-left: 1px solid <<colour table-border>>;\n}\n\ntable thead tr td, table th {\n\tbackground-color: <<colour table-header-background>>;\n\tfont-weight: bold;\n}\n\ntable tfoot tr td {\n\tbackground-color: <<colour table-footer-background>>;\n}\n\n.tc-csv-table {\n\twhite-space: nowrap;\n}\n\n.tc-tiddler-frame img,\n.tc-tiddler-frame svg,\n.tc-tiddler-frame canvas,\n.tc-tiddler-frame embed,\n.tc-tiddler-frame iframe {\n\tmax-width: 100%;\n}\n\n.tc-tiddler-body > embed,\n.tc-tiddler-body > iframe {\n\twidth: 100%;\n\theight: 600px;\n}\n\n/*\n** Links\n*/\n\nbutton.tc-tiddlylink,\na.tc-tiddlylink {\n\ttext-decoration: none;\n\tfont-weight: 500;\n\tcolor: <<colour tiddler-link-foreground>>;\n\t-webkit-user-select: inherit; /* Otherwise the draggable attribute makes links impossible to select */\n}\n\n.tc-sidebar-lists a.tc-tiddlylink {\n\tcolor: <<colour sidebar-tiddler-link-foreground>>;\n}\n\n.tc-sidebar-lists a.tc-tiddlylink:hover {\n\tcolor: <<colour sidebar-tiddler-link-foreground-hover>>;\n}\n\nbutton.tc-tiddlylink:hover,\na.tc-tiddlylink:hover {\n\ttext-decoration: underline;\n}\n\na.tc-tiddlylink-resolves {\n}\n\na.tc-tiddlylink-shadow {\n\tfont-weight: bold;\n}\n\na.tc-tiddlylink-shadow.tc-tiddlylink-resolves {\n\tfont-weight: normal;\n}\n\na.tc-tiddlylink-missing {\n\tfont-style: italic;\n}\n\na.tc-tiddlylink-external {\n\ttext-decoration: underline;\n\tcolor: <<colour external-link-foreground>>;\n\tbackground-color: <<colour external-link-background>>;\n}\n\na.tc-tiddlylink-external:visited {\n\tcolor: <<colour external-link-foreground-visited>>;\n\tbackground-color: <<colour external-link-background-visited>>;\n}\n\na.tc-tiddlylink-external:hover {\n\tcolor: <<colour external-link-foreground-hover>>;\n\tbackground-color: <<colour external-link-background-hover>>;\n}\n\n/*\n** Drag and drop styles\n*/\n\n.tc-tiddler-dragger {\n\tposition: relative;\n\tz-index: -10000;\n}\n\n.tc-tiddler-dragger-inner {\n\tposition: absolute;\n\ttop: -1000px;\n\tleft: -1000px;\n\tdisplay: inline-block;\n\tpadding: 8px 20px;\n\tfont-size: 16.9px;\n\tfont-weight: bold;\n\tline-height: 20px;\n\tcolor: <<colour dragger-foreground>>;\n\ttext-shadow: 0 1px 0 rgba(0, 0, 0, 1);\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour dragger-background>>;\n\tborder-radius: 20px;\n}\n\n.tc-tiddler-dragger-cover {\n\tposition: absolute;\n\tbackground-color: <<colour page-background>>;\n}\n\n.tc-dropzone {\n\tposition: relative;\n}\n\n.tc-dropzone.tc-dragover:before {\n\tz-index: 10000;\n\tdisplay: block;\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour dropzone-background>>;\n\ttext-align: center;\n\tcontent: \"<<lingo DropMessage>>\";\n}\n\n.tc-droppable > .tc-droppable-placeholder {\n\tdisplay: none;\n}\n\n.tc-droppable.tc-dragover > .tc-droppable-placeholder {\n\tdisplay: block;\n\tborder: 2px dashed <<colour dropzone-background>>;\n}\n\n.tc-draggable {\n\tcursor: move;\n}\n\n.tc-sidebar-tab-open .tc-droppable-placeholder, .tc-tagged-draggable-list .tc-droppable-placeholder,\n.tc-links-draggable-list .tc-droppable-placeholder {\n\tline-height: 2em;\n\theight: 2em;\n}\n\n.tc-sidebar-tab-open-item {\n\tposition: relative;\n}\n\n.tc-sidebar-tab-open .tc-btn-invisible.tc-btn-mini svg {\n\tfont-size: 0.7em;\n\tfill: <<colour muted-foreground>>;\n}\n\n/*\n** Plugin reload warning\n*/\n\n.tc-plugin-reload-warning {\n\tz-index: 1000;\n\tdisplay: block;\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour alert-background>>;\n\ttext-align: center;\n}\n\n/*\n** Buttons\n*/\n\nbutton svg, button img, label svg, label img {\n\tvertical-align: middle;\n}\n\n.tc-btn-invisible {\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n \tcursor: pointer;\n\tcolor: <<colour foreground>>;\n}\n\n.tc-btn-boxed {\n\tfont-size: 0.6em;\n\tpadding: 0.2em;\n\tmargin: 1px;\n\tbackground: none;\n\tborder: 1px solid <<colour tiddler-controls-foreground>>;\n\tborder-radius: 0.25em;\n}\n\nhtml body.tc-body .tc-btn-boxed svg {\n\tfont-size: 1.6666em;\n}\n\n.tc-btn-boxed:hover {\n\tbackground: <<colour muted-foreground>>;\n\tcolor: <<colour background>>;\n}\n\nhtml body.tc-body .tc-btn-boxed:hover svg {\n\tfill: <<colour background>>;\n}\n\n.tc-btn-rounded {\n\tfont-size: 0.5em;\n\tline-height: 2;\n\tpadding: 0em 0.3em 0.2em 0.4em;\n\tmargin: 1px;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour muted-foreground>>;\n\tcolor: <<colour background>>;\n\tborder-radius: 2em;\n}\n\nhtml body.tc-body .tc-btn-rounded svg {\n\tfont-size: 1.6666em;\n\tfill: <<colour background>>;\n}\n\n.tc-btn-rounded:hover {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour background>>;\n\tcolor: <<colour muted-foreground>>;\n}\n\nhtml body.tc-body .tc-btn-rounded:hover svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-btn-icon svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-btn-text {\n\tpadding: 0;\n\tmargin: 0;\n}\n\n/* used for documentation \"fake\" buttons */\n.tc-btn-standard {\n\tline-height: 1.8;\n\tcolor: #667;\n\tbackground-color: #e0e0e0;\n\tborder: 1px solid #888;\n\tpadding: 2px 1px 2px 1px;\n\tmargin: 1px 4px 1px 4px;\n}\n\n.tc-btn-big-green {\n\tdisplay: inline-block;\n\tpadding: 8px;\n\tmargin: 4px 8px 4px 8px;\n\tbackground: <<colour download-background>>;\n\tcolor: <<colour download-foreground>>;\n\tfill: <<colour download-foreground>>;\n\tborder: none;\n\tborder-radius: 2px;\n\tfont-size: 1.2em;\n\tline-height: 1.4em;\n\ttext-decoration: none;\n}\n\n.tc-btn-big-green svg,\n.tc-btn-big-green img {\n\theight: 2em;\n\twidth: 2em;\n\tvertical-align: middle;\n\tfill: <<colour download-foreground>>;\n}\n\n.tc-primary-btn {\n \tbackground: <<colour primary>>;\n}\n\n.tc-sidebar-lists input {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-sidebar-lists button {\n\tcolor: <<colour sidebar-button-foreground>>;\n\tfill: <<colour sidebar-button-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini {\n\tcolor: <<colour sidebar-muted-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini:hover {\n\tcolor: <<colour sidebar-muted-foreground-hover>>;\n}\n\nbutton svg.tc-image-button, button .tc-image-button img {\n\theight: 1em;\n\twidth: 1em;\n}\n\n.tc-unfold-banner {\n\tposition: absolute;\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\twidth: 100%;\n\twidth: calc(100% + 2px);\n\tmargin-left: -43px;\n\ttext-align: center;\n\tborder-top: 2px solid <<colour tiddler-info-background>>;\n\tmargin-top: 4px;\n}\n\n.tc-unfold-banner:hover {\n\tbackground: <<colour tiddler-info-background>>;\n\tborder-top: 2px solid <<colour tiddler-info-border>>;\n}\n\n.tc-unfold-banner svg, .tc-fold-banner svg {\n\theight: 0.75em;\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-unfold-banner:hover svg, .tc-fold-banner:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n.tc-fold-banner {\n\tposition: absolute;\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\twidth: 23px;\n\ttext-align: center;\n\tmargin-left: -35px;\n\ttop: 6px;\n\tbottom: 6px;\n}\n\n.tc-fold-banner:hover {\n\tbackground: <<colour tiddler-info-background>>;\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-unfold-banner {\n\t\tposition: static;\n\t\twidth: calc(100% + 59px);\n\t}\n\n\t.tc-fold-banner {\n\t\twidth: 16px;\n\t\tmargin-left: -16px;\n\t\tfont-size: 0.75em;\n\t}\n\n}\n\n/*\n** Tags and missing tiddlers\n*/\n\n.tc-tag-list-item {\n\tposition: relative;\n\tdisplay: inline-block;\n\tmargin-right: 7px;\n}\n\n.tc-tags-wrapper {\n\tmargin: 4px 0 14px 0;\n}\n\n.tc-missing-tiddler-label {\n\tfont-style: italic;\n\tfont-weight: normal;\n\tdisplay: inline-block;\n\tfont-size: 11.844px;\n\tline-height: 14px;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n}\n\nbutton.tc-tag-label, span.tc-tag-label {\n\tdisplay: inline-block;\n\tpadding: 0.16em 0.7em;\n\tfont-size: 0.9em;\n\tfont-weight: 400;\n\tline-height: 1.2em;\n\tcolor: <<colour tag-foreground>>;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour tag-background>>;\n\tborder-radius: 1em;\n}\n\n.tc-sidebar-scrollable .tc-tag-label {\n\ttext-shadow: none;\n}\n\n.tc-untagged-separator {\n\twidth: 10em;\n\tleft: 0;\n\tmargin-left: 0;\n\tborder: 0;\n\theight: 1px;\n\tbackground: <<colour tab-divider>>;\n}\n\nbutton.tc-untagged-label {\n\tbackground-color: <<colour untagged-background>>;\n}\n\n.tc-tag-label svg, .tc-tag-label img {\n\theight: 1em;\n\twidth: 1em;\n\tmargin-right: 3px; \n\tmargin-bottom: 1px;\n\tvertical-align: text-bottom;\n}\n\n.tc-edit-tags button.tc-remove-tag-button svg {\n\tfont-size: 0.7em;\n\tvertical-align: middle;\n}\n\n.tc-tag-manager-table .tc-tag-label {\n\twhite-space: normal;\n}\n\n.tc-tag-manager-tag {\n\twidth: 100%;\n}\n\nbutton.tc-btn-invisible.tc-remove-tag-button {\n\toutline: none;\n}\n\n/*\n** Page layout\n*/\n\n.tc-topbar {\n\tposition: fixed;\n\tz-index: 1200;\n}\n\n.tc-topbar-left {\n\tleft: 29px;\n\ttop: 5px;\n}\n\n.tc-topbar-right {\n\ttop: 5px;\n\tright: 29px;\n}\n\n.tc-topbar button {\n\tpadding: 8px;\n}\n\n.tc-topbar svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-topbar button:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-sidebar-header {\n\tcolor: <<colour sidebar-foreground>>;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-sidebar-header .tc-title a.tc-tiddlylink-resolves {\n\tfont-weight: 300;\n}\n\n.tc-sidebar-header .tc-sidebar-lists p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-sidebar-header .tc-missing-tiddler-label {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-advanced-search input {\n\twidth: 60%;\n}\n\n.tc-search a svg {\n\twidth: 1.2em;\n\theight: 1.2em;\n\tvertical-align: middle;\n}\n\n.tc-page-controls {\n\tmargin-top: 14px;\n\tfont-size: 1.5em;\n}\n\n.tc-page-controls .tc-drop-down {\n font-size: 1rem;\n}\n\n.tc-page-controls button {\n\tmargin-right: 0.5em;\n}\n\n.tc-page-controls a.tc-tiddlylink:hover {\n\ttext-decoration: none;\n}\n\n.tc-page-controls img {\n\twidth: 1em;\n}\n\n.tc-page-controls svg {\n\tfill: <<colour sidebar-controls-foreground>>;\n}\n\n.tc-page-controls button:hover svg, .tc-page-controls a:hover svg {\n\tfill: <<colour sidebar-controls-foreground-hover>>;\n}\n\n.tc-menu-list-item {\n\twhite-space: nowrap;\n}\n\n.tc-menu-list-count {\n\tfont-weight: bold;\n}\n\n.tc-menu-list-subitem {\n\tpadding-left: 7px;\n}\n\n.tc-story-river {\n\tposition: relative;\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-sidebar-header {\n\t\tpadding: 14px;\n\t\tmin-height: 32px;\n\t\tmargin-top: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t}\n\n\t.tc-story-river {\n\t\tposition: relative;\n\t\tpadding: 0;\n\t}\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-message-box {\n\t\tmargin: 21px -21px 21px -21px;\n\t}\n\n\t.tc-sidebar-scrollable {\n\t\tposition: fixed;\n\t\ttop: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\tleft: {{$:/themes/tiddlywiki/vanilla/metrics/storyright}};\n\t\tbottom: 0;\n\t\tright: 0;\n\t\toverflow-y: auto;\n\t\toverflow-x: auto;\n\t\t-webkit-overflow-scrolling: touch;\n\t\tmargin: 0 0 0 -42px;\n\t\tpadding: 71px 0 28px 42px;\n\t}\n\n\thtml[dir=\"rtl\"] .tc-sidebar-scrollable {\n\t\tleft: auto;\n\t\tright: {{$:/themes/tiddlywiki/vanilla/metrics/storyright}};\n\t}\n\n\t.tc-story-river {\n\t\tposition: relative;\n\t\tleft: {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}};\n\t\ttop: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/storywidth}};\n\t\tpadding: 42px 42px 42px 42px;\n\t}\n\n<<if-no-sidebar \"\n\n\t.tc-story-river {\n\t\twidth: calc(100% - {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}});\n\t}\n\n\">>\n\n}\n\n@media print {\n\n\tbody.tc-body {\n\t\tbackground-color: transparent;\n\t}\n\n\t.tc-sidebar-header, .tc-topbar {\n\t\tdisplay: none;\n\t}\n\n\t.tc-story-river {\n\t\tmargin: 0;\n\t\tpadding: 0;\n\t}\n\n\t.tc-story-river .tc-tiddler-frame {\n\t\tmargin: 0;\n\t\tborder: none;\n\t\tpadding: 0;\n\t}\n}\n\n/*\n** Tiddler styles\n*/\n\n.tc-tiddler-frame {\n\tposition: relative;\n\tmargin-bottom: 28px;\n\tbackground-color: <<colour tiddler-background>>;\n\tborder: 1px solid <<colour tiddler-border>>;\n}\n\n{{$:/themes/tiddlywiki/vanilla/sticky}}\n\n.tc-tiddler-info {\n\tpadding: 14px 42px 14px 42px;\n\tbackground-color: <<colour tiddler-info-background>>;\n\tborder-top: 1px solid <<colour tiddler-info-border>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-border>>;\n}\n\n.tc-tiddler-info p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-tiddler-info .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour tiddler-info-tab-background>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-tab-background>>;\n}\n\n.tc-view-field-table {\n\twidth: 100%;\n}\n\n.tc-view-field-name {\n\twidth: 1%; /* Makes this column be as narrow as possible */\n\ttext-align: right;\n\tfont-style: italic;\n\tfont-weight: 200;\n}\n\n.tc-view-field-value {\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t.tc-tiddler-frame {\n\t\tpadding: 14px 14px 14px 14px;\n\t}\n\n\t.tc-tiddler-info {\n\t\tmargin: 0 -14px 0 -14px;\n\t}\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t.tc-tiddler-frame {\n\t\tpadding: 28px 42px 42px 42px;\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth}};\n\t\tborder-radius: 2px;\n\t}\n\n<<if-no-sidebar \"\n\n\t.tc-tiddler-frame {\n\t\twidth: 100%;\n\t}\n\n\">>\n\n\t.tc-tiddler-info {\n\t\tmargin: 0 -42px 0 -42px;\n\t}\n}\n\n.tc-site-title,\n.tc-titlebar {\n\tfont-weight: 300;\n\tfont-size: 2.35em;\n\tline-height: 1.2em;\n\tcolor: <<colour tiddler-title-foreground>>;\n\tmargin: 0;\n}\n\n.tc-site-title {\n\tcolor: <<colour site-title-foreground>>;\n}\n\n.tc-tiddler-title-icon {\n\tvertical-align: middle;\n\tmargin-right: .1em;\n}\n\n.tc-system-title-prefix {\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-titlebar h2 {\n\tfont-size: 1em;\n\tdisplay: inline;\n}\n\n.tc-titlebar img {\n\theight: 1em;\n}\n\n.tc-subtitle {\n\tfont-size: 0.9em;\n\tcolor: <<colour tiddler-subtitle-foreground>>;\n\tfont-weight: 300;\n}\n\n.tc-subtitle .tc-tiddlylink {\n\tmargin-right: .3em;\n}\n\n.tc-tiddler-missing .tc-title {\n font-style: italic;\n font-weight: normal;\n}\n\n.tc-tiddler-frame .tc-tiddler-controls {\n\tfloat: right;\n}\n\n.tc-tiddler-controls .tc-drop-down {\n\tfont-size: 0.6em;\n}\n\n.tc-tiddler-controls .tc-drop-down .tc-drop-down {\n\tfont-size: 1em;\n}\n\n.tc-tiddler-controls > span > button,\n.tc-tiddler-controls > span > span > button,\n.tc-tiddler-controls > span > span > span > button {\n\tvertical-align: baseline;\n\tmargin-left:5px;\n}\n\n.tc-tiddler-controls button svg, .tc-tiddler-controls button img,\n.tc-search button svg, .tc-search a svg {\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-tiddler-controls button svg, .tc-tiddler-controls button img {\n\theight: 0.75em;\n}\n\n.tc-search button svg, .tc-search a svg {\n height: 1.2em;\n width: 1.2em;\n margin: 0 0.25em;\n}\n\n.tc-tiddler-controls button.tc-selected svg,\n.tc-page-controls button.tc-selected svg {\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n}\n\n.tc-tiddler-controls button.tc-btn-invisible:hover svg,\n.tc-search button:hover svg, .tc-search a:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n@media print {\n\t.tc-tiddler-controls {\n\t\tdisplay: none;\n\t}\n}\n\n.tc-tiddler-help { /* Help prompts within tiddler template */\n\tcolor: <<colour muted-foreground>>;\n\tmargin-top: 14px;\n}\n\n.tc-tiddler-help a.tc-tiddlylink {\n\tcolor: <<colour very-muted-foreground>>;\n}\n\n.tc-tiddler-frame .tc-edit-texteditor {\n\twidth: 100%;\n\tmargin: 4px 0 4px 0;\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor,\n.tc-tiddler-frame textarea.tc-edit-texteditor,\n.tc-tiddler-frame iframe.tc-edit-texteditor {\n\tpadding: 3px 3px 3px 3px;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tbackground-color: <<colour tiddler-editor-background>>;\n\tline-height: 1.3em;\n\t-webkit-appearance: none;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/editorfontfamily}};\n}\n\n.tc-tiddler-frame .tc-binary-warning {\n\twidth: 100%;\n\theight: 5em;\n\ttext-align: center;\n\tpadding: 3em 3em 6em 3em;\n\tbackground: <<colour alert-background>>;\n\tborder: 1px solid <<colour alert-border>>;\n}\n\ncanvas.tc-edit-bitmapeditor {\n\tborder: 6px solid <<colour tiddler-editor-border-image>>;\n\tcursor: crosshair;\n\t-moz-user-select: none;\n\t-webkit-user-select: none;\n\t-ms-user-select: none;\n\tmargin-top: 6px;\n\tmargin-bottom: 6px;\n}\n\n.tc-edit-bitmapeditor-width {\n\tdisplay: block;\n}\n\n.tc-edit-bitmapeditor-height {\n\tdisplay: block;\n}\n\n.tc-tiddler-body {\n\tclear: both;\n}\n\n.tc-tiddler-frame .tc-tiddler-body {\n\tfont-size: {{$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize}};\n\tline-height: {{$:/themes/tiddlywiki/vanilla/metrics/bodylineheight}};\n}\n\n.tc-titlebar, .tc-tiddler-edit-title {\n\toverflow: hidden; /* https://github.com/Jermolene/TiddlyWiki5/issues/282 */\n}\n\nhtml body.tc-body.tc-single-tiddler-window {\n\tmargin: 1em;\n\tbackground: <<colour tiddler-background>>;\n}\n\n.tc-single-tiddler-window img,\n.tc-single-tiddler-window svg,\n.tc-single-tiddler-window canvas,\n.tc-single-tiddler-window embed,\n.tc-single-tiddler-window iframe {\n\tmax-width: 100%;\n}\n\n/*\n** Editor\n*/\n\n.tc-editor-toolbar {\n\tmargin-top: 8px;\n}\n\n.tc-editor-toolbar button {\n\tvertical-align: middle;\n\tbackground-color: <<colour tiddler-controls-foreground>>;\n\tcolor: <<colour tiddler-controls-foreground-selected>>;\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n\tborder-radius: 4px;\n\tpadding: 3px;\n\tmargin: 2px 0 2px 4px;\n}\n\n.tc-editor-toolbar button.tc-text-editor-toolbar-item-adjunct {\n\tmargin-left: 1px;\n\twidth: 1em;\n\tborder-radius: 8px;\n}\n\n.tc-editor-toolbar button.tc-text-editor-toolbar-item-start-group {\n\tmargin-left: 11px;\n}\n\n.tc-editor-toolbar button.tc-selected {\n\tbackground-color: <<colour primary>>;\n}\n\n.tc-editor-toolbar button svg {\n\twidth: 1.6em;\n\theight: 1.2em;\n}\n\n.tc-editor-toolbar button:hover {\n\tbackground-color: <<colour tiddler-controls-foreground-selected>>;\n\tfill: <<colour background>>;\n\tcolor: <<colour background>>;\n}\n\n.tc-editor-toolbar .tc-text-editor-toolbar-more {\n\twhite-space: normal;\n}\n\n.tc-editor-toolbar .tc-text-editor-toolbar-more button {\n\tdisplay: inline-block;\n\tpadding: 3px;\n\twidth: auto;\n}\n\n.tc-editor-toolbar .tc-search-results {\n\tpadding: 0;\n}\n\n/*\n** Adjustments for fluid-fixed mode\n*/\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n<<if-fluid-fixed text:\"\"\"\n\n\t.tc-story-river {\n\t\tpadding-right: 0;\n\t\tposition: relative;\n\t\twidth: auto;\n\t\tleft: 0;\n\t\tmargin-left: {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}};\n\t\tmargin-right: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n\t}\n\n\t.tc-tiddler-frame {\n\t\twidth: 100%;\n\t}\n\n\t.tc-sidebar-scrollable {\n\t\tleft: auto;\n\t\tbottom: 0;\n\t\tright: 0;\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n\t}\n\n\tbody.tc-body .tc-storyview-zoomin-tiddler {\n\t\twidth: 100%;\n\t\twidth: calc(100% - 42px);\n\t}\n\n\"\"\" hiddenSidebarText:\"\"\"\n\n\t.tc-story-river {\n\t\tpadding-right: 3em;\n\t\tmargin-right: 0;\n\t}\n\n\tbody.tc-body .tc-storyview-zoomin-tiddler {\n\t\twidth: 100%;\n\t\twidth: calc(100% - 84px);\n\t}\n\n\"\"\">>\n\n}\n\n/*\n** Toolbar buttons\n*/\n\n.tc-page-controls svg.tc-image-new-button {\n fill: <<colour toolbar-new-button>>;\n}\n\n.tc-page-controls svg.tc-image-options-button {\n fill: <<colour toolbar-options-button>>;\n}\n\n.tc-page-controls svg.tc-image-save-button {\n fill: <<colour toolbar-save-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-info-button {\n fill: <<colour toolbar-info-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-edit-button {\n fill: <<colour toolbar-edit-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-close-button {\n fill: <<colour toolbar-close-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-delete-button {\n fill: <<colour toolbar-delete-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-cancel-button {\n fill: <<colour toolbar-cancel-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-done-button {\n fill: <<colour toolbar-done-button>>;\n}\n\n/*\n** Tiddler edit mode\n*/\n\n.tc-tiddler-edit-frame em.tc-edit {\n\tcolor: <<colour muted-foreground>>;\n\tfont-style: normal;\n}\n\n.tc-edit-type-dropdown a.tc-tiddlylink-missing {\n\tfont-style: normal;\n}\n\n.tc-type-selector .tc-edit-typeeditor {\n\twidth: 20%;\n}\n\n.tc-edit-tags {\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tpadding: 4px 8px 4px 8px;\n}\n\n.tc-edit-add-tag {\n\tdisplay: inline-block;\n}\n\n.tc-edit-add-tag .tc-add-tag-name input {\n\twidth: 50%;\n}\n\n.tc-edit-add-tag .tc-keyboard {\n\tdisplay:inline;\n}\n\n.tc-edit-tags .tc-tag-label {\n\tdisplay: inline-block;\n}\n\n.tc-edit-tags-list {\n\tmargin: 14px 0 14px 0;\n}\n\n.tc-remove-tag-button {\n\tpadding-left: 4px;\n}\n\n.tc-tiddler-preview {\n\toverflow: auto;\n}\n\n.tc-tiddler-preview-preview {\n\tfloat: right;\n\twidth: 49%;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tmargin: 4px 0 3px 3px;\n\tpadding: 3px 3px 3px 3px;\n}\n\n<<if-editor-height-fixed then:\"\"\"\n\n.tc-tiddler-preview-preview {\n\toverflow-y: scroll;\n\theight: {{$:/config/TextEditor/EditorHeight/Height}};\n}\n\n\"\"\">>\n\n.tc-tiddler-frame .tc-tiddler-preview .tc-edit-texteditor {\n\twidth: 49%;\n}\n\n.tc-tiddler-frame .tc-tiddler-preview canvas.tc-edit-bitmapeditor {\n\tmax-width: 49%;\n}\n\n.tc-edit-fields {\n\twidth: 100%;\n}\n\n\n.tc-edit-fields table, .tc-edit-fields tr, .tc-edit-fields td {\n\tborder: none;\n\tpadding: 4px;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(odd) {\n\tbackground-color: <<colour tiddler-editor-fields-odd>>;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(even) {\n\tbackground-color: <<colour tiddler-editor-fields-even>>;\n}\n\n.tc-edit-field-name {\n\ttext-align: right;\n}\n\n.tc-edit-field-value input {\n\twidth: 100%;\n}\n\n.tc-edit-field-remove {\n}\n\n.tc-edit-field-remove svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n\tvertical-align: middle;\n}\n\n.tc-edit-field-add-name {\n\tdisplay: inline-block;\n\twidth: 15%;\n}\n\n.tc-edit-field-add-value {\n\tdisplay: inline-block;\n\twidth: 40%;\n}\n\n.tc-edit-field-add-button {\n\tdisplay: inline-block;\n\twidth: 10%;\n}\n\n/*\n** Storyview Classes\n*/\n\n.tc-viewswitcher .tc-image-button {\n\tmargin-right: .3em;\n}\n\n.tc-storyview-zoomin-tiddler {\n\tposition: absolute;\n\tdisplay: block;\n\twidth: 100%;\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-storyview-zoomin-tiddler {\n\t\twidth: calc(100% - 84px);\n\t}\n\n}\n\n/*\n** Dropdowns\n*/\n\n.tc-btn-dropdown {\n\ttext-align: left;\n}\n\n.tc-btn-dropdown svg, .tc-btn-dropdown img {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-drop-down-wrapper {\n\tposition: relative;\n}\n\n.tc-drop-down {\n\tmin-width: 380px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\ttext-shadow: none;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-drop-down {\n\tmargin-left: 14px;\n}\n\n.tc-drop-down button svg, .tc-drop-down a svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-drop-down button.tc-btn-invisible:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-drop-down .tc-drop-down-info {\n\tpadding-left: 14px;\n}\n\n.tc-drop-down p {\n\tpadding: 0 14px 0 14px;\n}\n\n.tc-drop-down svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-drop-down img {\n\twidth: 1em;\n}\n\n.tc-drop-down a, .tc-drop-down button {\n\tdisplay: block;\n\tpadding: 0 14px 0 14px;\n\twidth: 100%;\n\ttext-align: left;\n\tcolor: <<colour foreground>>;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-tab-set .tc-tab-buttons button {\n\tdisplay: inline-block;\n width: auto;\n margin-bottom: 0px;\n border-bottom-left-radius: 0;\n border-bottom-right-radius: 0;\n}\n\n.tc-drop-down .tc-prompt {\n\tpadding: 0 14px;\n}\n\n.tc-drop-down .tc-chooser {\n\tborder: none;\n}\n\n.tc-drop-down .tc-chooser .tc-swatches-horiz {\n\tfont-size: 0.4em;\n\tpadding-left: 1.2em;\n}\n\n.tc-drop-down .tc-file-input-wrapper {\n\twidth: 100%;\n}\n\n.tc-drop-down .tc-file-input-wrapper button {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-drop-down a:hover, .tc-drop-down button:hover, .tc-drop-down .tc-file-input-wrapper:hover button {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-drop-down .tc-tab-buttons button {\n\tbackground-color: <<colour dropdown-tab-background>>;\n}\n\n.tc-drop-down .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour dropdown-tab-background-selected>>;\n\tborder-bottom: 1px solid <<colour dropdown-tab-background-selected>>;\n}\n\n.tc-drop-down-bullet {\n\tdisplay: inline-block;\n\twidth: 0.5em;\n}\n\n.tc-drop-down .tc-tab-contents a {\n\tpadding: 0 0.5em 0 0.5em;\n}\n\n.tc-block-dropdown-wrapper {\n\tposition: relative;\n}\n\n.tc-block-dropdown {\n\tposition: absolute;\n\tmin-width: 220px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\tz-index: 1000;\n\ttext-shadow: none;\n}\n\n.tc-block-dropdown.tc-search-drop-down {\n\tmargin-left: -12px;\n}\n\n.tc-block-dropdown a {\n\tdisplay: block;\n\tpadding: 4px 14px 4px 14px;\n}\n\n.tc-block-dropdown.tc-search-drop-down a {\n\tdisplay: block;\n\tpadding: 0px 10px 0px 10px;\n}\n\n.tc-drop-down .tc-dropdown-item-plain,\n.tc-block-dropdown .tc-dropdown-item-plain {\n\tpadding: 4px 14px 4px 7px;\n}\n\n.tc-drop-down .tc-dropdown-item,\n.tc-block-dropdown .tc-dropdown-item {\n\tpadding: 4px 14px 4px 7px;\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-block-dropdown a:hover {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-search-results {\n\tpadding: 0 7px 0 7px;\n}\n\n.tc-image-chooser, .tc-colour-chooser {\n\twhite-space: normal;\n}\n\n.tc-image-chooser a,\n.tc-colour-chooser a {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\ttext-align: center;\n\tposition: relative;\n}\n\n.tc-image-chooser a {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 2px;\n\tmargin: 2px;\n\twidth: 4em;\n\theight: 4em;\n}\n\n.tc-colour-chooser a {\n\tpadding: 3px;\n\twidth: 2em;\n\theight: 2em;\n\tvertical-align: middle;\n}\n\n.tc-image-chooser a:hover,\n.tc-colour-chooser a:hover {\n\tbackground: <<colour primary>>;\n\tpadding: 0px;\n\tborder: 3px solid <<colour primary>>;\n}\n\n.tc-image-chooser a svg,\n.tc-image-chooser a img {\n\tdisplay: inline-block;\n\twidth: auto;\n\theight: auto;\n\tmax-width: 3.5em;\n\tmax-height: 3.5em;\n\tposition: absolute;\n\ttop: 0;\n\tbottom: 0;\n\tleft: 0;\n\tright: 0;\n\tmargin: auto;\n}\n\n/*\n** Modals\n*/\n\n.tc-modal-wrapper {\n\tposition: fixed;\n\toverflow: auto;\n\toverflow-y: scroll;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n\tz-index: 900;\n}\n\n.tc-modal-backdrop {\n\tposition: fixed;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n\tz-index: 1000;\n\tbackground-color: <<colour modal-backdrop>>;\n}\n\n.tc-modal {\n\tz-index: 1100;\n\tbackground-color: <<colour modal-background>>;\n\tborder: 1px solid <<colour modal-border>>;\n}\n\n@media (max-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 1em;\n\t\tleft: 1em;\n\t\tright: 1em;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t\tmax-height: 60vh;\n\t}\n}\n\n@media (min-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 2em;\n\t\tleft: 25%;\n\t\twidth: 50%;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t\tmax-height: 60vh;\n\t}\n}\n\n.tc-modal-header {\n\tpadding: 9px 15px;\n\tborder-bottom: 1px solid <<colour modal-header-border>>;\n}\n\n.tc-modal-header h3 {\n\tmargin: 0;\n\tline-height: 30px;\n}\n\n.tc-modal-header img, .tc-modal-header svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-modal-body {\n\tpadding: 15px;\n}\n\n.tc-modal-footer {\n\tpadding: 14px 15px 15px;\n\tmargin-bottom: 0;\n\ttext-align: right;\n\tbackground-color: <<colour modal-footer-background>>;\n\tborder-top: 1px solid <<colour modal-footer-border>>;\n}\n\n/*\n** Notifications\n*/\n\n.tc-notification {\n\tposition: fixed;\n\ttop: 14px;\n\tright: 42px;\n\tz-index: 1300;\n\tmax-width: 280px;\n\tpadding: 0 14px 0 14px;\n\tbackground-color: <<colour notification-background>>;\n\tborder: 1px solid <<colour notification-border>>;\n}\n\n/*\n** Tabs\n*/\n\n.tc-tab-set.tc-vertical {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tab-buttons {\n\tfont-size: 0.85em;\n\tpadding-top: 1em;\n\tmargin-bottom: -2px;\n}\n\n.tc-tab-buttons.tc-vertical {\n\tz-index: 100;\n\tdisplay: block;\n\tpadding-top: 14px;\n\tvertical-align: top;\n\ttext-align: right;\n\tmargin-bottom: inherit;\n\tmargin-right: -1px;\n\tmax-width: 33%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n}\n\n.tc-tab-buttons button.tc-tab-selected {\n\tcolor: <<colour tab-foreground-selected>>;\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-left: 1px solid <<colour tab-border-selected>>;\n\tborder-top: 1px solid <<colour tab-border-selected>>;\n\tborder-right: 1px solid <<colour tab-border-selected>>;\n}\n\n.tc-tab-buttons button {\n\tcolor: <<colour tab-foreground>>;\n\tpadding: 3px 5px 3px 5px;\n\tmargin-right: 0.3em;\n\tfont-weight: 300;\n\tborder: none;\n\tbackground: inherit;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-right: 1px solid <<colour tab-border>>;\n\tborder-top-left-radius: 2px;\n\tborder-top-right-radius: 2px;\n\tborder-bottom-left-radius: 0;\n\tborder-bottom-right-radius: 0;\n}\n\n.tc-tab-buttons.tc-vertical button {\n\tdisplay: block;\n\twidth: 100%;\n\tmargin-top: 3px;\n\tmargin-right: 0;\n\ttext-align: right;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tborder-right: none;\n\tborder-top-left-radius: 2px;\n\tborder-bottom-left-radius: 2px;\n\tborder-top-right-radius: 0;\n\tborder-bottom-right-radius: 0;\n}\n\n.tc-tab-buttons.tc-vertical button.tc-tab-selected {\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-right: 1px solid <<colour tab-background-selected>>;\n}\n\n.tc-tab-divider {\n\tborder-top: 1px solid <<colour tab-divider>>;\n}\n\n.tc-tab-divider.tc-vertical {\n\tdisplay: none;\n}\n\n.tc-tab-content {\n\tmargin-top: 14px;\n}\n\n.tc-tab-content.tc-vertical {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-top: 0;\n\tpadding-left: 14px;\n\tborder-left: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 70%;\n\tflex: 1 0 70%;\n\toverflow: auto;\n}\n\n.tc-sidebar-lists .tc-tab-buttons {\n\tmargin-bottom: -1px;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tcolor: <<colour sidebar-tab-foreground-selected>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border-selected>>;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button {\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tcolor: <<colour sidebar-tab-foreground>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border>>;\n}\n\n.tc-sidebar-lists .tc-tab-divider {\n\tborder-top: 1px solid <<colour sidebar-tab-divider>>;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n\tdisplay: block;\n\twidth: 100%;\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tborder-top: none;\n\tborder-left: none;\n\tborder-bottom: none;\n\tborder-right: 1px solid #ccc;\n\tmargin-bottom: inherit;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tborder: none;\n}\n\n/*\n** Manager\n*/\n\n.tc-manager-wrapper {\n\t\n}\n\n.tc-manager-controls {\n\t\n}\n\n.tc-manager-control {\n\tmargin: 0.5em 0;\n}\n\n.tc-manager-list {\n\twidth: 100%;\n\tborder-top: 1px solid <<colour muted-foreground>>;\n\tborder-left: 1px solid <<colour muted-foreground>>;\n\tborder-right: 1px solid <<colour muted-foreground>>;\n}\n\n.tc-manager-list-item {\n\n}\n\n.tc-manager-list-item-heading {\n display: block;\n width: 100%;\n text-align: left;\t\n\tborder-bottom: 1px solid <<colour muted-foreground>>;\n\tpadding: 3px;\n}\n\n.tc-manager-list-item-heading-selected {\n\tfont-weight: bold;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n\tbackground-color: <<colour foreground>>;\n}\n\n.tc-manager-list-item-heading:hover {\n\tbackground: <<colour primary>>;\n\tcolor: <<colour background>>;\n}\n\n.tc-manager-list-item-content {\n\tdisplay: flex;\n}\n\n.tc-manager-list-item-content-sidebar {\n flex: 1 0;\n background: <<colour tiddler-editor-background>>;\n border-right: 0.5em solid <<colour muted-foreground>>;\n border-bottom: 0.5em solid <<colour muted-foreground>>;\n white-space: nowrap;\n}\n\n.tc-manager-list-item-content-item-heading {\n\tdisplay: block;\n\twidth: 100%;\n\ttext-align: left;\n background: <<colour muted-foreground>>;\n\ttext-transform: uppercase;\n\tfont-size: 0.6em;\n\tfont-weight: bold;\n padding: 0.5em 0 0.5em 0;\n}\n\n.tc-manager-list-item-content-item-body {\n\tpadding: 0 0.5em 0 0.5em;\n}\n\n.tc-manager-list-item-content-item-body > pre {\n\tmargin: 0.5em 0 0.5em 0;\n\tborder: none;\n\tbackground: inherit;\n}\n\n.tc-manager-list-item-content-tiddler {\n flex: 3 1;\n border-left: 0.5em solid <<colour muted-foreground>>;\n border-right: 0.5em solid <<colour muted-foreground>>;\n border-bottom: 0.5em solid <<colour muted-foreground>>;\n}\n\n.tc-manager-list-item-content-item-body > table {\n\tborder: none;\n\tpadding: 0;\n\tmargin: 0;\n}\n\n.tc-manager-list-item-content-item-body > table td {\n\tborder: none;\n}\n\n.tc-manager-icon-editor > button {\n\twidth: 100%;\n}\n\n.tc-manager-icon-editor > button > svg,\n.tc-manager-icon-editor > button > button {\n\twidth: 100%;\n\theight: auto;\n}\n\n/*\n** Alerts\n*/\n\n.tc-alerts {\n\tposition: fixed;\n\ttop: 28px;\n\tleft: 0;\n\tright: 0;\n\tmax-width: 50%;\n\tz-index: 20000;\n}\n\n.tc-alert {\n\tposition: relative;\n\tmargin: 14px;\n\tpadding: 7px;\n\tborder: 1px solid <<colour alert-border>>;\n\tbackground-color: <<colour alert-background>>;\n}\n\n.tc-alert-toolbar {\n\tposition: absolute;\n\ttop: 7px;\n\tright: 7px;\n line-height: 0;\n}\n\n.tc-alert-toolbar svg {\n\tfill: <<colour alert-muted-foreground>>;\n}\n\n.tc-alert-subtitle {\n\tcolor: <<colour alert-muted-foreground>>;\n\tfont-weight: bold;\n font-size: 0.8em;\n margin-bottom: 0.5em;\n}\n\n.tc-alert-body > p {\n\tmargin: 0;\n}\n\n.tc-alert-highlight {\n\tcolor: <<colour alert-highlight>>;\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-static-alert {\n\t\tposition: relative;\n\t}\n\n\t.tc-static-alert-inner {\n\t\tposition: absolute;\n\t\tz-index: 100;\n\t}\n\n}\n\n.tc-static-alert-inner {\n\tpadding: 0 2px 2px 42px;\n\tcolor: <<colour static-alert-foreground>>;\n}\n\n/*\n** Floating drafts list\n*/\n\n.tc-drafts-list {\n\tz-index: 2000;\n\tposition: fixed;\n\tfont-size: 0.8em;\n\tleft: 0;\n\tbottom: 0;\n}\n\n.tc-drafts-list a {\n\tmargin: 0 0.5em;\n\tpadding: 4px 4px;\n\tborder-top-left-radius: 4px;\n\tborder-top-right-radius: 4px;\n\tborder: 1px solid <<colour background>>;\n\tborder-bottom-none;\n\tbackground: <<colour dirty-indicator>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n}\n\n.tc-drafts-list a:hover {\n\ttext-decoration: none;\n\tbackground: <<colour foreground>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n}\n\n.tc-drafts-list a svg {\n\twidth: 1em;\n\theight: 1em;\n\tvertical-align: text-bottom;\n}\n\n/*\n** Control panel\n*/\n\n.tc-control-panel td {\n\tpadding: 4px;\n}\n\n.tc-control-panel table, .tc-control-panel table input, .tc-control-panel table textarea {\n\twidth: 100%;\n}\n\n.tc-plugin-info {\n\tdisplay: flex;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tfill: <<colour muted-foreground>>;\n\tbackground-color: <<colour background>>;\n\tmargin: 0.5em 0 0.5em 0;\n\tpadding: 4px;\n align-items: center;\n}\n\n.tc-plugin-info-sub-plugins .tc-plugin-info {\n margin: 0.5em;\n\tbackground: <<colour background>>;\n}\n\n.tc-plugin-info-sub-plugin-indicator {\n\tmargin: -16px 1em 0 2em;\n}\n\n.tc-plugin-info-sub-plugin-indicator button {\n\tcolor: <<colour background>>;\n\tbackground: <<colour foreground>>;\n\tborder-radius: 8px;\n padding: 2px 7px;\n font-size: 0.75em;\n}\n\n.tc-plugin-info-sub-plugins .tc-plugin-info-dropdown {\n\tmargin-left: 1em;\n\tmargin-right: 1em;\n}\n\n.tc-plugin-info-disabled {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n\tbackground: repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n}\n\n.tc-plugin-info-disabled:hover {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n\tbackground: repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n}\n\na.tc-tiddlylink.tc-plugin-info:hover {\n\ttext-decoration: none;\n\tbackground-color: <<colour primary>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour foreground>>;\n}\n\na.tc-tiddlylink.tc-plugin-info:hover .tc-plugin-info > .tc-plugin-info-chunk > svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-plugin-info-chunk {\n margin: 2px;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-toggle {\n\tflex-grow: 0;\n\tflex-shrink: 0;\n\tline-height: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-icon {\n\tflex-grow: 0;\n\tflex-shrink: 0;\n\tline-height: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description {\n\tflex-grow: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-buttons {\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tflex-grow: 0;\n\tflex-shrink: 0;\n text-align: right;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description h1 {\n\tfont-size: 1em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description h2 {\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description div {\n\tfont-size: 0.7em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-toggle img, .tc-plugin-info-chunk.tc-plugin-info-toggle svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-icon img, .tc-plugin-info-chunk.tc-plugin-info-icon svg {\n\twidth: 2em;\n\theight: 2em;\n}\n\n.tc-plugin-info-dropdown {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour background>>;\n\tmargin-top: -8px;\n}\n\n.tc-plugin-info-dropdown-message {\n\tbackground: <<colour message-background>>;\n\tpadding: 0.5em 1em 0.5em 1em;\n\tfont-weight: bold;\n\tfont-size: 0.8em;\n}\n\n.tc-plugin-info-dropdown-body {\n\tpadding: 1em 1em 0 1em;\n\tbackground: <<colour background>>;\n}\n\n.tc-plugin-info-sub-plugins {\n\tpadding: 0.5em;\n margin: 0 1em 1em 1em;\n\tbackground: <<colour notification-background>>;\n}\n\n.tc-install-plugin {\n\tfont-weight: bold;\n\tbackground: green;\n\tcolor: white;\n\tfill: white;\n\tborder-radius: 4px;\n\tpadding: 3px;\n}\n\n.tc-install-plugin.tc-reinstall-downgrade {\n\tbackground: red;\n}\n\n.tc-install-plugin.tc-reinstall {\n\tbackground: blue;\n}\n\n.tc-install-plugin.tc-reinstall-upgrade {\n\tbackground: orange;\n}\n\n.tc-check-list {\n\tline-height: 2em;\n}\n\n.tc-check-list .tc-image-button {\n\theight: 1.5em;\n}\n\n/*\n** Message boxes\n*/\n\n.tc-message-box {\n\tborder: 1px solid <<colour message-border>>;\n\tbackground: <<colour message-background>>;\n\tpadding: 0px 21px 0px 21px;\n\tfont-size: 12px;\n\tline-height: 18px;\n\tcolor: <<colour message-foreground>>;\n}\n\n.tc-message-box svg {\n\twidth: 1em;\n\theight: 1em;\n vertical-align: text-bottom;\n}\n\n/*\n** Pictures\n*/\n\n.tc-bordered-image {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 5px;\n\tmargin: 5px;\n}\n\n/*\n** Floats\n*/\n\n.tc-float-right {\n\tfloat: right;\n}\n\n/*\n** Chooser\n*/\n\n.tc-chooser {\n\tborder-right: 1px solid <<colour table-header-background>>;\n\tborder-left: 1px solid <<colour table-header-background>>;\n}\n\n\n.tc-chooser-item {\n\tborder-bottom: 1px solid <<colour table-header-background>>;\n\tborder-top: 1px solid <<colour table-header-background>>;\n\tpadding: 2px 4px 2px 14px;\n}\n\n.tc-drop-down .tc-chooser-item {\n\tpadding: 2px;\n}\n\n.tc-chosen,\n.tc-chooser-item:hover {\n\tbackground-color: <<colour table-header-background>>;\n\tborder-color: <<colour table-footer-background>>;\n}\n\n.tc-chosen .tc-tiddlylink {\n\tcursor:default;\n}\n\n.tc-chooser-item .tc-tiddlylink {\n\tdisplay: block;\n\ttext-decoration: none;\n\tbackground-color: transparent;\n}\n\n.tc-chooser-item:hover .tc-tiddlylink:hover {\n\ttext-decoration: none;\n}\n\n.tc-drop-down .tc-chosen .tc-tiddlylink,\n.tc-drop-down .tc-chooser-item .tc-tiddlylink:hover {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-chosen > .tc-tiddlylink:before {\n\tmargin-left: -10px;\n\tposition: relative;\n\tcontent: \"» \";\n}\n\n.tc-chooser-item svg,\n.tc-chooser-item img{\n\twidth: 1em;\n\theight: 1em;\n\tvertical-align: middle;\n}\n\n.tc-language-chooser .tc-image-button img {\n\twidth: 2em;\n\tvertical-align: -0.15em;\n}\n\n/*\n** Palette swatches\n*/\n\n.tc-swatches-horiz {\n}\n\n.tc-swatches-horiz .tc-swatch {\n\tdisplay: inline-block;\n}\n\n.tc-swatch {\n\twidth: 2em;\n\theight: 2em;\n\tmargin: 0.4em;\n\tborder: 1px solid #888;\n}\n\ninput.tc-palette-manager-colour-input {\n\twidth: 100%;\n\tpadding: 0;\n}\n\n/*\n** Table of contents\n*/\n\n.tc-sidebar-lists .tc-table-of-contents {\n\twhite-space: nowrap;\n}\n\n.tc-table-of-contents button {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents svg {\n\twidth: 0.7em;\n\theight: 0.7em;\n\tvertical-align: middle;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents ol {\n\tlist-style-type: none;\n\tpadding-left: 0;\n}\n\n.tc-table-of-contents ol ol {\n\tpadding-left: 1em;\n}\n\n.tc-table-of-contents li {\n\tfont-size: 1.0em;\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li a {\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li li {\n\tfont-size: 0.95em;\n\tfont-weight: normal;\n\tline-height: 1.4;\n}\n\n.tc-table-of-contents li li a {\n\tfont-weight: normal;\n}\n\n.tc-table-of-contents li li li {\n\tfont-size: 0.95em;\n\tfont-weight: 200;\n\tline-height: 1.5;\n}\n\n.tc-table-of-contents li li li li {\n\tfont-size: 0.95em;\n\tfont-weight: 200;\n}\n\n.tc-tabbed-table-of-contents {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents {\n\tz-index: 100;\n\tdisplay: inline-block;\n\tpadding-left: 1em;\n\tmax-width: 50%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n\tbackground: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a,\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tdisplay: block;\n\tpadding: 0.12em 1em 0.12em 0.25em;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a {\n\tborder-top: 1px solid <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-background>>;\n\tborder-bottom: 1px solid <<colour tab-background>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a:hover {\n\ttext-decoration: none;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour background>>;\n\tmargin-right: -1px;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a:hover {\n\ttext-decoration: none;\n}\n\n.tc-tabbed-table-of-contents .tc-tabbed-table-of-contents-content {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-left: 1.5em;\n\tpadding-right: 1.5em;\n\tborder: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 50%;\n\tflex: 1 0 50%;\n}\n\n/*\n** Dirty indicator\n*/\n\nbody.tc-dirty span.tc-dirty-indicator, body.tc-dirty span.tc-dirty-indicator svg {\n\tfill: <<colour dirty-indicator>>;\n\tcolor: <<colour dirty-indicator>>;\n}\n\n/*\n** File inputs\n*/\n\n.tc-file-input-wrapper {\n\tposition: relative;\n\toverflow: hidden;\n\tdisplay: inline-block;\n\tvertical-align: middle;\n}\n\n.tc-file-input-wrapper input[type=file] {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tfont-size: 999px;\n\tmax-width: 100%;\n\tmax-height: 100%;\n\tfilter: alpha(opacity=0);\n\topacity: 0;\n\toutline: none;\n\tbackground: white;\n\tcursor: pointer;\n\tdisplay: inline-block;\n}\n\n/*\n** Thumbnail macros\n*/\n\n.tc-thumbnail-wrapper {\n\tposition: relative;\n\tdisplay: inline-block;\n\tmargin: 6px;\n\tvertical-align: top;\n}\n\n.tc-thumbnail-right-wrapper {\n\tfloat:right;\n\tmargin: 0.5em 0 0.5em 0.5em;\n}\n\n.tc-thumbnail-image {\n\ttext-align: center;\n\toverflow: hidden;\n\tborder-radius: 3px;\n}\n\n.tc-thumbnail-image svg,\n.tc-thumbnail-image img {\n\tfilter: alpha(opacity=1);\n\topacity: 1;\n\tmin-width: 100%;\n\tmin-height: 100%;\n\tmax-width: 100%;\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-image svg,\n.tc-thumbnail-wrapper:hover .tc-thumbnail-image img {\n\tfilter: alpha(opacity=0.8);\n\topacity: 0.8;\n}\n\n.tc-thumbnail-background {\n\tposition: absolute;\n\tborder-radius: 3px;\n}\n\n.tc-thumbnail-icon svg,\n.tc-thumbnail-icon img {\n\twidth: 3em;\n\theight: 3em;\n\t<<filter \"drop-shadow(2px 2px 4px rgba(0,0,0,0.3))\">>\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-icon svg,\n.tc-thumbnail-wrapper:hover .tc-thumbnail-icon img {\n\tfill: #fff;\n\t<<filter \"drop-shadow(3px 3px 4px rgba(0,0,0,0.6))\">>\n}\n\n.tc-thumbnail-icon {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tdisplay: -webkit-flex;\n\t-webkit-align-items: center;\n\t-webkit-justify-content: center;\n\tdisplay: flex;\n\talign-items: center;\n\tjustify-content: center;\n}\n\n.tc-thumbnail-caption {\n\tposition: absolute;\n\tbackground-color: #777;\n\tcolor: #fff;\n\ttext-align: center;\n\tbottom: 0;\n\twidth: 100%;\n\tfilter: alpha(opacity=0.9);\n\topacity: 0.9;\n\tline-height: 1.4;\n\tborder-bottom-left-radius: 3px;\n\tborder-bottom-right-radius: 3px;\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-caption {\n\tfilter: alpha(opacity=1);\n\topacity: 1;\n}\n\n/*\n** Diffs\n*/\n\n.tc-diff-equal {\n\tbackground-color: <<colour diff-equal-background>>;\n\tcolor: <<colour diff-equal-foreground>>;\n}\n\n.tc-diff-insert {\n\tbackground-color: <<colour diff-insert-background>>;\n\tcolor: <<colour diff-insert-foreground>>;\n}\n\n.tc-diff-delete {\n\tbackground-color: <<colour diff-delete-background>>;\n\tcolor: <<colour diff-delete-foreground>>;\n}\n\n.tc-diff-invisible {\n\tbackground-color: <<colour diff-invisible-background>>;\n\tcolor: <<colour diff-invisible-foreground>>;\n}\n\n.tc-diff-tiddlers th {\n\ttext-align: right;\n\tbackground: <<colour background>>;\n\tfont-weight: normal;\n\tfont-style: italic;\n}\n\n.tc-diff-tiddlers pre {\n margin: 0;\n padding: 0;\n border: none;\n background: none;\n}\n\n/*\n** Errors\n*/\n\n.tc-error {\n\tbackground: #f00;\n\tcolor: #fff;\n}\n\n/*\n** Tree macro\n*/\n\n.tc-tree div {\n \tpadding-left: 14px;\n}\n\n.tc-tree ol {\n \tlist-style-type: none;\n \tpadding-left: 0;\n \tmargin-top: 0;\n}\n\n.tc-tree ol ol {\n \tpadding-left: 1em; \n}\n\n.tc-tree button { \n \tcolor: #acacac;\n}\n\n.tc-tree svg {\n \tfill: #acacac;\n}\n\n.tc-tree span svg {\n \twidth: 1em;\n \theight: 1em;\n \tvertical-align: baseline;\n}\n\n.tc-tree li span {\n \tcolor: lightgray;\n}\n\nselect {\n color: <<colour select-tag-foreground>>;\n background: <<colour select-tag-background>>;\n}\n\n/*\n** Utility classes for SVG icons\n*/\n\n.tc-fill-background {\n\tfill: <<colour background>>;\n}"
},
"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize",
"text": "15px"
},
"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/bodylineheight",
"text": "22px"
},
"$:/themes/tiddlywiki/vanilla/metrics/fontsize": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/fontsize",
"text": "14px"
},
"$:/themes/tiddlywiki/vanilla/metrics/lineheight": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/lineheight",
"text": "20px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storyleft": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storyleft",
"text": "0px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storytop": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storytop",
"text": "0px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storyright": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storyright",
"text": "770px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storywidth": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storywidth",
"text": "770px"
},
"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth",
"text": "686px"
},
"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint",
"text": "960px"
},
"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth",
"text": "350px"
},
"$:/themes/tiddlywiki/vanilla/options/stickytitles": {
"title": "$:/themes/tiddlywiki/vanilla/options/stickytitles",
"text": "no"
},
"$:/themes/tiddlywiki/vanilla/options/sidebarlayout": {
"title": "$:/themes/tiddlywiki/vanilla/options/sidebarlayout",
"text": "fixed-fluid"
},
"$:/themes/tiddlywiki/vanilla/options/codewrapping": {
"title": "$:/themes/tiddlywiki/vanilla/options/codewrapping",
"text": "pre-wrap"
},
"$:/themes/tiddlywiki/vanilla/reset": {
"title": "$:/themes/tiddlywiki/vanilla/reset",
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Maps have a wide variety of uses, ranging from the recording of information (such as cadastral maps) to aiding navigation (such as road maps and naval charts). Two of the main uses of maps (and graphics) in environmental analysis, particularly as assisted by geographic information systems, are the analysis of data and the presentation of data. Neither of these uses precludes the other, and both can be aided by good graphic design techniques. Graphic design requires an understanding of the data (and the information represented by the data), an understanding of the methods of visual communication, and the ability to make use of the available means of communication. Although each of these components is described in other places (such as statistics books for data analysis, cartographic texts for visualization of spatial data, and software manuals for the actual production of maps), this guideline integrates these three areas in the context of the Environmental Systems Research Institute's geographic information system, ARC/INFO revision 6, as the available means of communication. As such, chapter one contains a brief discussion of data and meta-data issues, and visualization and communication theory; chapter two consists of a discussion of issues involved in the design of maps, such as projections and data classification, as accomplished in ARC/INFO; and chapters three through nine present ARC Macro Language programs for specific symbolization techniques for point, line and area data. Chapter ten provides a brief conclusion. * [[1.1 The Principles of Data]] * [[1.2 Metadata and Uncertainty]] * [[1.3 The Idea of Visual Communication]] * [[1.4 The Means of Visual Communication]] * [[1.5 The Methods of Visual Communication]]
For geographic phenomena, there are two types of data that comprise information about a phenomena: attribute data (the measured characteristic of a location), and location data (the measured location of a characteristic). This pairing of information types is reflected in the two major approaches of geographic information systems: vector systems, which emphasize the attribute; and raster systems, which emphasize the location. ARC/INFO now combines both of these, allowing a wide variety of analysis and mapping, but the appropriate use of this information is still dependent on the analyst/cartographer.
Attribute data can be grouped into several categories--empirical levels--which influence the design requirements for representing information. Each empirical level contains all of the information of lower levels (and thus can be simplified) while adding additional information (see Figure 1.1 for a comparison of attribute data levels with spatial characteristics and 'visual variables' for area data). The lowest empirical level is nominal data; this data only indicates that something is different than something else. Names of states are an example of nominal categorization. The next level of empirical data is ordinal data; this data indicates that something is more (or less) than something else, but no quantity can be given to that distance. The terms high, medium and low reflect ordinal differences. The third level of empirical data is interval data; a linear measurement of distance can be used to gauge the differences between instances. The highest level of empirical data is ratio data; this data indicates that something is more (or less) than something else (and thus different), that a linear distance can be used to gauge differences and that ratio comparisons (such as: this is twice that) can also be done. The essential difference between ratio and interval data is that for ratio data, a non-arbitrary zero point is intrinsic in the measurement; this difference is small enough that, for visualization, the methods used for representing both types of data are the same. An example of the difference between interval and ratio measurement is the difference between temperature measured in degrees Celsius and degrees Kelvin; the Celsius system has an arbitrary zero (the freezing point of water) but the Kelvin system's zero is not arbitrary (absolute zero: point at which the particle motion that is 'temperature,' stops).
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|''Figure 1.1'' Spatial data models for area data and their cartographic representations; developed from <$button popup="$:/maceachren_dibiase_1">~MacEachren and ~DiBiase (1991)</$button><$reveal type="popup" state="$:/maceachren_dibiase_1"><div class="tc-drop-down">{{ref_data##maceachren_dibiase_1}}</div></$reveal> and <$button popup="$:/maceachren_dibiase_1">~DiBiase, Krygier, Reeves, ~MacEachren and Brenner (1991)</$button><$reveal type="popup" state="$:/dibiase_krygier_reeves_maceachren_brenner_1"><div class="tc-drop-down">{{ref_data##dibiase_krygier_reeves_maceachren_brenner_1}}</div></$reveal>. In a thematic map, the information to be displayed can be categorized by its empirical level (nominal to ratio), how the data changes within any region it is aggregated into, and how the data changes between adjacent regions. Once this categorization is done, visual variables can be selected on the basis of the ability to represent the information so categorized.|c
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Because of these differences in attribute data, care must be taken when comparisons between different levels of data area made (see Table 1.1 for the types of comparisons that can be performed on data of given levels). For example, ordinal data may be stored as integers that represent the order, but the values of these integers do not indicate any measurement of the variability of the data. This lack of measurement does not, however, preclude a software system from acting on the data as if it were ratio data and thereby calculating essentially meaningless statistics (or spatial patterns). If comparisons of data of different levels must be done, either the higher level of data must be reduced to the lower, or a transformation (an addition of information) must be done to raise the lower level to the higher. For nominal or ordinal data, the procedures of psychometrics can be used to recast ordinal information into interval or ratio data. Essentially this involves assigning utility values (such as money) to data levels that do not normally have this type of information associated with it (such as aesthetic values). This can be accomplished by conducting a survey to get individual assignments of value, and then using the collected data to assign overall values to the data.
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||Nominal|Ordinal|Interval|Ratio|h
|!Rank Comparison|Invalid|Valid|Valid|Valid|
|!Addition, Subtraction|Invalid|Invalid|Valid|Valid|
|!Multiplication, Division|Invalid|Invalid|Invalid|Valid|
|>|>| !Statistics: |<|<|
|!Parametric|Invalid|Invalid|Valid|Valid|
|!Nonparametric|Valid|Valid|Valid|Valid|
|''Table 1.1'' Valid data comparisons. Because of the varying degree of numerical precision associated with different data levels (nominal through ratio) only certain operations can be applied to comparisons between two data sets; comparisons between data of two different levels must occur at the lower of the two classes (<$button popup="$:/esri_6">ESRI Grid Class Notes 1992, 11-22</$button><$reveal type="popup" state="$:/esri_6"><div class="tc-drop-down">{{ref_data##esri_6}}</div></$reveal>).|c
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Although all information is classified due to the nature of measurement uncertainty in the recording of data (<$button popup="$:/maceachren_1">~MacEachren 1992, 48</$button><$reveal type="popup" state="$:/maceachren_1"><div class="tc-drop-down">{{ref_data##maceachren_1}}</div></$reveal>), attribute data can be further classed into groups for both presentation and analysis (see See Classifying Data for a discussion of data classification in ARC/INFO). Classification involves the creation of range categories that individual instances fit into and thus take on that value range. This results in a loss of information and can be a reduction in the empirical level of a measurement (interval/ratio data is reduced to ordinal, for example). This loss of precision is offset by the simplification of the presentation of information. These classifications are accomplished by representing ranges of data as categories on the display medium, through the use of symbolization that is appropriate to the level of measurement (see Figure 1.1).
Spatial data can be grouped into four categories. The first type of data represents point specific information. The second type of data represents linear information. The third type of data represents area information. The fourth type of data represents volume information. Each of these categories is scale specific; an area feature such as stream may require mapping as a linear feature if the total area under consideration is small enough that displaying the stream as having both length and breadth becomes too tedious or difficult to represent in the available media, for the additional information retained. Volumetric information is also dependant on the means of display--the appearance of three dimensions can only be approximated on a two dimensional surface. Although the visual variables that best represent different levels of information do not change for each of the types of spatial data, the ARC/INFO methods for accomplishing those representations change.
For environmental data, <$button popup="$:/monmonier_johnson_1">Mark Monmonier and Branden Johnson (1990, 5-7)</$button><$reveal type="popup" state="$:/monmonier_johnson_1"><div class="tc-drop-down">{{ref_data##monmonier_johnson_1}}</div></$reveal> have characterized spatial data into: single location; single location and affected area; and multiple locations and the pattern of distribution. Single location answers not only 'what' but 'where'; this can be applied to all of the basic types of spatial data and allows the map user to relate environmental information to his or her own experience (this is what <$button popup="$:/tufte_2">Edward Tufte (1990)</$button><$reveal type="popup" state="$:/tufte_2"><div class="tc-drop-down">{{ref_data##tufte_2}}</div></$reveal> calls micro/macro readings). Building on single location, single location and affected area adds information concerning how a 'what' influences its surroundings (because 'influence' may be more subject to interpretation than a measurement, presentation of meta-data can become very important in the presentation of data). Finally, multiple locations and the pattern of distribution integrates more than one instance of single location and affected area into one map.
Area phenomena can also be categorized on the basis of its spatial grouping and how it changes over space (<$button popup="$:/maceachren_dibiase_1">~MacEachren and ~DiBiase 1991</$button><$reveal type="popup" state="$:/maceachren_dibiase_1"><div class="tc-drop-down">{{ref_data##maceachren_dibiase_1}}</div></$reveal>) (see Figure 1.1). Grouping ranges from continuous (no grouping) to discrete (complete grouping). This reflects the degree of spatial autocorrelation within areas. Changes over space can be smooth to abrupt. This reflects the degree of spatial autocorrelation between areas. These changes suggest that appropriate symbolization choices be made that accurately reflect the nature of the data. The possible symbolization choices include, but are not limited to: graduated symbols for abrupt, discrete data; dot density for smooth, discrete data; isopleth (or the '3-D' equivalent fishnet) for smooth, continuous data; and choropleth for abrupt, continuous data; this is in contradiction with the all-to-common practice of making choropleth maps for all types of area data.
The uncertainty of information is becoming an important topic with the increased use of computers for data processing, presentation and analysis. This is being addressed with position statements such as the <$button popup="$:/epa_1">Environmental Protection Agency's Locational Data Policy (1991)</$button><$reveal type="popup" state="$:/epa_1"><div class="tc-drop-down">{{ref_data##epa_1}}</div></$reveal> and the National Center for Geographic Information and Analysis' Visualization of Data Quality initiative (<$button popup="$:/maceachren_1">~MacEachren 1992, 47</$button><$reveal type="popup" state="$:/maceachren_1"><div class="tc-drop-down">{{ref_data##maceachren_1}}</div></$reveal>). Yet, these cannot eliminate uncertainty, which exists at the most basic levels of measurement according to Heisenberg's Uncertainty Principle (<$button popup="$:/capra_1">Capra 1983</$button><$reveal type="popup" state="$:/capra_1"><div class="tc-drop-down">{{ref_data##capra_1}}</div></$reveal>). Because of this, <$button popup="$:/rejeski_1">David Rejeski (1991)</$button><$reveal type="popup" state="$:/rejeski_1"><div class="tc-drop-down">{{ref_data##rejeski_1}}</div></$reveal> suggests that uncertainties should be addressed openly in order to ensure that decisions have both utility and believability. He, as well as Granger Morgan and Max Henrion, recognize that uncertainty can be valuable information. <$button popup="$:/morgan_henrion_1">Morgan and Henrion (1990, 3)</$button><$reveal type="popup" state="$:/morgan_henrion_1"><div class="tc-drop-down">{{ref_data##morgan_henrion_1}}</div></$reveal> give three specific reasons for the inclusion of uncertainty in policy oriented research:
<<<
A central purpose of policy research and policy analysis is to help identify important factors and the sources of disagreement in a problem, and to help anticipate the unexpected. An explicit treatment of uncertainty forces us to think more carefully about such matters, helps us identify which factors are most and least important, and helps us plan for contingencies or hedge our bets.
Increasingly we must rely on experts when we make decisions. It is often hard to be sure we understand exactly what they are telling us. It is harder still to know what to do when different experts appear to be telling us different things. If we insist they tell us about the uncertainty of their judgments, we will be clearer about how much they think they know and whether they really disagree.
Rarely is any problem solved once and for all. Problems have a way of resurfacing. The details may change but the basic problems keep coming back again and again. Sometimes we would like to be able to use, or adapt, policy analyses that have been done in the past to help with the problems of the moment. This is much easier to do when the uncertainties of the past work have been carefully described, because then we can have greater confidence that we are using the earlier work in an appropriate way.
<<<
Uncertainty has dictionary definitions such as, "uncertain in respect of duration, continuance, occurrence, etc.," "liability to chance," "indeterminate as to magnitude or value" (Simpson and Weiner, Oxford English Dictionary, 1989, 899)<$button popup="$:/footnote_1">1</$button><$reveal type="popup" state="$:/footnote_1"><div class="tc-drop-down">Uncertainty begins as the vagueness of duration, etc with Wyclif in 1382. By 1982, Oxford (1989, 900) reports: "What the uncertainty principle asserts is that for no state of any system can all dynamical variables be arbitrarily well-determined."</div></$reveal>. A more useful interpretation for use in environmental risk analysis would be that uncertainty is the information contained in the data about data (that is, meta-data). By defining uncertainty this way, meta-data can be used as another piece of information in the analysis and presentation of data, including risk-based policy making.
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|''Figure 1.2'' A taxonomy of uncertainty.|c
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Uncertainty has a taxonomy that should be useful in delimiting the origins of uncertainty and the reliability of data at any given point in an analysis (see Figure 1.2). Although <$button popup="$:/morgan_henrion_1">Morgan and Henrion (1990)</$button><$reveal type="popup" state="$:/morgan_henrion_1"><div class="tc-drop-down">{{ref_data##morgan_henrion_1}}</div></$reveal> discuss "The Nature and Sources of Uncertainty" as chapter 4 of Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis in detail, this presentation is a distillation based on several sources, which include Morgan and Henrion and others sources, as noted. The taxonomy can be broken down into three groups: uncertainties of the physical world; uncertainties of the computer world; and uncertainties of the human world. Problems of the measurement of natural phenomena constitute the first category; <$button popup="$:/maceachren_1">~MacEachren (1992, 48)</$button><$reveal type="popup" state="$:/maceachren_1"><div class="tc-drop-down">{{ref_data##maceachren_1}}</div></$reveal> reports that the National Center for Geographic Information and Analysis calls this "data quality". The uncertainty of the physical world can be further split into measurement uncertainty and parameter uncertainty.
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!!Uncertainties of the Physical World
Measurement uncertainty for geographic data includes both location and attribute uncertainties. Location uncertainties (<$button popup="$:/rejeski_kapuscinski_1">Rejeski and Kapuscinski 1990, 10</$button><$reveal type="popup" state="$:/rejeski_kapuscinski_1"><div class="tc-drop-down">{{ref_data##rejeski_kapuscinski_1}}</div></$reveal>) can be considered the accuracy (closeness to a 'true' value) of the instruments and the reliability, or precision, (repeatability of a measurement) of the methods used to calculate a site's position (see Figure 1.3). For example a location of a phenomenon can be determined by use of many methods, such as a professional surveyor's analysis, use of a global positioning system, or terrain analysis estimation. Each of these methods is of varying accuracy and precision, and the meta-data that should be recorded includes the manner in which a site location was first defined, the method use to derive its location, the time it was derived, and an estimate of its accuracy.
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|''Figure 1.3'' An example of the difference between accuracy and reliability in spatial location measurements.|c
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Attribute uncertainty can be considered the accuracy and reliability of the instruments used to take a measurement of the environment. For example, an instrument may be set up to measure atmospheric concentrations of carbon monoxide, measuring levels in parts per million and with an accuracy of plus or minus one part per million. The data in this situation is the part per million measurement and the meta-data includes the plus or minus one part per million accuracy of the instrument.
Parameter uncertainty (<$button popup="$:/rejeski_kapuscinski_1">Rejeski and Kapuscinski 1990, 11</$button><$reveal type="popup" state="$:/rejeski_kapuscinski_1"><div class="tc-drop-down">{{ref_data##rejeski_kapuscinski_1}}</div></$reveal>; <$button popup="$:/maceachren_1">~MacEachren 1992, 47-8</$button><$reveal type="popup" state="$:/maceachren_1"><div class="tc-drop-down">{{ref_data##maceachren_1}}</div></$reveal>) involves the problem of the aggregation and generalization of point samples to areas for spatial data, or trend lines for linear data; the temporal variability between data items and between measurement times and data usage; and the logical consistency and completeness of data. This is the question of whether the measurements that are recorded and then used for analysis are adequate measurements of what was intended to be measured; it entails the consequences of the assumption of autocorrelation. Before a model is constructed to provide an explanation or a projection of environmental phenomena, it must be recognized that there are few (if any) phenomena that can be precisely defined and measured for all possible occurrences. Because of this, interpolation and extrapolation--whether linear (as in a measurement), spatial (as in an area generalization), or temporal (as in data from one time as estimates for some other time)--must be done even though the process introduces uncertainty into the analysis.
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|''Figure 1.4'' An example of a change from a hard to a 'fuzzy' boundary.|c
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There have been suggestions made for reducing and representing parameter uncertainty. For generalizing spatial data, <$button popup="$:/cort_row_philpot_1">Cort, Rowe and Philpot</$button><$reveal type="popup" state="$:/cort_row_philpot_1"><div class="tc-drop-down">{{ref_data##cort_row_philpot_1}}</div></$reveal> (1985; in <$button popup="$:/maceachren_1">~MacEachren 1992, 44</$button><$reveal type="popup" state="$:/maceachren_1"><div class="tc-drop-down">{{ref_data##maceachren_1}}</div></$reveal>) suggest that interpolation in spherical, rather than planar, coordinates will introduce less uncertainty in the creation of area information from point samples (particularly for large areas).<$button popup="$:/maceachren_davidson_1">~MacEachren and Davidson</$button><$reveal type="popup" state="$:/maceachren_davidson_1"><div class="tc-drop-down">{{ref_data##maceachren_davidson_1}}</div></$reveal> (1987; in <$button popup="$:/maceachren_1">~MacEachren 1992, 46</$button><$reveal type="popup" state="$:/maceachren_1"><div class="tc-drop-down">{{ref_data##maceachren_1}}</div></$reveal>) demonstrate that increasing sampling frequency will also reduce (but not eliminate) the uncertainty of interpolation; this should also be true for linear and temporal data as well. For, representing parameter uncertainty, <$button popup="$:/rejeski_kapuscinski_1">Rejeski and Kapuscinski</$button><$reveal type="popup" state="$:/rejeski_kapuscinski_1"><div class="tc-drop-down">{{ref_data##rejeski_kapuscinski_1}}</div></$reveal> (1990, 10) suggest the use of transitional buffer zones to represent "fuzzy" boundaries, rather than one line demarcating "hard edges" (see Figure 1.4).
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!!Uncertainties of the Computer World
Problems of the use of computers for storing and manipulating data constitute the second category of uncertainty. This can be subdivided into four groups: descriptive uncertainty, computational uncertainty, propagational uncertainty and modeling uncertainty. Thoughtful use of programs and programming techniques can reduce the amount of uncertainty introduced to data by computer manipulation. <$button popup="$:/knoble_1">Herman Knoble</$button><$reveal type="popup" state="$:/knoble_1"><div class="tc-drop-down">{{ref_data##knoble_1}}</div></$reveal> (1990, 2) states that correct and accurate computer programs must be an ethical responsibility when dealing with numerical algorithms, all of which, "at the bottom line...affect people."
Descriptive uncertainty deals with the representation of data in computers, including both numeric and spatial problems. Numeric uncertainty arises from the method computers use to store data. For example, the binary number system does not have an exact representation of some common decimal numbers, such as 1/100. Another type of numeric uncertainty arising from number storage is the shifting of significant digits. If a number is input into a computer that has the ability to store a longer number than is input, the computer will 'pad' the extra space with zeros. These digits will be available for computation in numeric modeling even though they add no information and are meaningless. Significant digit shift can occur in the other direction as well. If a number is input into a computer that stores fewer digits than is input, the computer will round or truncate the number to fit its numeric scheme. These problems can be controlled, but not eliminated, by specifically programming the computer for the required operations (<$button popup="$:/knoble_1">Knoble 1990</$button><$reveal type="popup" state="$:/knoble_1"><div class="tc-drop-down">{{ref_data##knoble_1}}</div></$reveal>), but for generally available software this is not possible.
Spatially, data is generally stored as either a table of vectors that define sharp boundaries between regions, or in regular tessellations (square, 'raster' grids) that force a predefined spatial pattern on an area (<$button popup="$:/rejeski_kapuscinski_1">Rejeski and Kapuscinski 1990, 10</$button><$reveal type="popup" state="$:/rejeski_kapuscinski_1"><div class="tc-drop-down">{{ref_data##rejeski_kapuscinski_1}}</div></$reveal>). Both of these methods introduce uncertainty: the vector representation forces boundary lines where transition zones may be; and tessellations assume the entire grid cell is homogeneous. These problems can be reduced, but again not eliminated, by using smaller polygons or grid cells, but this forces a trade off between data file size and computational time, and decreased uncertainty, which may not be pragmatically feasible.
Computational uncertainty deals with the problems of numeric modelling by using computers (<$button popup="$:/knoble_1">Knoble 1990</$button><$reveal type="popup" state="$:/knoble_1"><div class="tc-drop-down">{{ref_data##knoble_1}}</div></$reveal>; <$button popup="$:/rejeski_kapuscinski_1">Rejeski and Kapuscinski 1990, 13</$button><$reveal type="popup" state="$:/rejeski_kapuscinski_1"><div class="tc-drop-down">{{ref_data##rejeski_kapuscinski_1}}</div></$reveal>). Once data are stored in a digital format, any further processing can introduce uncertainty. Type shifting (such as from an integer format to a real number format, or from reals to integers) can introduce uncertainty by forcing rounding to occur. More commonly, rounding occurs within real numbers when numbers that are not similar in value are arithmetically joined. <$button popup="$:/knoble_1">Knoble</$button><$reveal type="popup" state="$:/knoble_1"><div class="tc-drop-down">{{ref_data##knoble_1}}</div></$reveal> (1990, 4-5) gives an example of the results of this type of rounding: an IBM 3090 Model 600, VS FORTRAN 2.4 program that for the formula:
```
P=((A+X)**2-A**2-2.*A*X)/X**2
```
generates an answer of -4999.99609 when A is equal to 1000.0 and X is equal to 0.01, despite the fact that the formula simplifies to P equals one for all X's not equal to zero.
Significant digit shift can also occur in arithmetic operations, particularly in operations involving subtraction of similar values. Subtracting 1.23456787 * 10^^7^^ from 1.23456789 * 10^^7^^ yields 0.2, but a computer can store this value as 2.00000000 * 10^^-1^^, and as with data input, will allow computation on all of the digits to the right of the 2, which is the only meaningful digit in the number.
Two additional, similar problems that may occur are overflow and underflow. These result when a number is incremented, or decremented beyond the storage type's ability to represent numbers. Depending on the operating system this may cause an error or may be ignored with the value remaining the same or drastically changing. Borland's Turbo C++ 2.0, running under MS-DOS 5.0 on an IBM AT, compiles programs that allow adding one to the thirty-two bit, 'unsigned long' integer 4294967295 (which is equal to 2^^32^^ - 1, and is the largest integer that can be represented in thirty-two bits), changing the value of the variable to 0. Turbo C++ compiled programs will give an overflow error when thirty-two bit real numbers (type 'float') are incremented outside of type float's range. When these computational uncertainty errors occur in a program, and are not handled well, the program could continue and generate an apparently correct answer purely by chance (<$button popup="$:/knoble_1">Knoble 1990, 2</$button><$reveal type="popup" state="$:/knoble_1"><div class="tc-drop-down">{{ref_data##knoble_1}}</div></$reveal>).
Propagational uncertainty deals with the problem of how uncertainty from a physical world measurement or another computer-related uncertainty moves through successive iterations of a model. It can be tested by varying the input to a numeric model in small steps to see if small changes can make large differences in the output of a computation, which in principle should not occur. For example, by making the value of A equal to 100.0 and X equal to 0.01, <$button popup="$:/knoble_1">Knoble's</$button><$reveal type="popup" state="$:/knoble_1"><div class="tc-drop-down">{{ref_data##knoble_1}}</div></$reveal> (1990, 5) program generates a value for P equal to -39.0624847; by changing X to 0.0078125, the program generates a value of P equal to 0.0000000. Propagational uncertainty can also be tested if the computer program can be rewritten to an algebraically equivalent, but computationally different manner, which would allow comparison between programs that should generate the same output. By simplifying the formula in Knoble's example to a command line such as:
<<<
if X not equal to 0 then P = 1 else print "DIVISION BY ZERO"
<<<
the problems of floating point arithmetic can be avoided.
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|''Figure 1.5''' Polygon overlay can cause shifting in boundary lines, or can create boundary slivers.|c
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Propagational uncertainty not only involves the accuracy of real number computations for numeric data, but also the generation of polygon overlay slivers within vector spatial data, such as that used by ARC/INFO (see Figure 1.5). The slivers may be handled by "fuzzy tolerances" (<$button popup="$:/esri_2">ARC Command References, Commands J-Z, 1991, UNION 1</$button><$reveal type="popup" state="$:/esri_2"><div class="tc-drop-down">{{ref_data##esri_2}}</div></$reveal>), which would allow the shifting of close lines so that they merged in the output. This could cause the shifting of data from one layer of a known high accuracy (such as a surveyor's cadastral data) to correspond with a layer of lower or unknown accuracy (such as information digitized from a medium or small scale paper map). All future use of the merged data layer would include the uncertainty created by the overlaying of two data layers of varying accuracy, and the meta-data that should be attached to the new data layer would have to reflect an estimate of how much shifting occurred. This type of shifting can be eliminated by avoiding fuzzy overlays, although this can cause the generation of sliver regions along boundaries that will cause increased storage and processing time for use of the new layer, and may not hold any useful information other than the indication of the difference between the two layers used to create the new layer.
Modeling uncertainty culminates the types of uncertainty associated with computers. Although there are several types of modelling (verbal, graphic, physical, and mathematical), each of which is subject to questions of robustness and validity versus the goal of the model (such as description or prediction), it is only mathematical models that tend to be dependent on computers for execution and are thus subject to the other computer uncertainties. The robustness of a model is reflected in a model's ability to handle all appropriate input and produce a reasonable output. It is thus tied to propogational uncertainty, but robustness also entails that not only do small changes in input not cause inappropriate changes in output, but that the model's output, in practice, is also within the expected range of the mathematical model, in principle. The validity of a model is the question of whether a model, in practice, actually represents the phenomena being modeled, in principle. This questions the methods used to operationalize a numerical model, such as the validity of using `if...then` statements to ensure the apparent robustness of a procedure that would otherwise produce non-robust output, when no such statements are apparent in the 'real world' phenomena.
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!!Uncertainties of the Human World
Problems of the human communication of information and meanings constitutes the third area of uncertainty (<$button popup="$:/rejeski_kapuscinski_1">Rejeski and Kapuscinski 1990, 12</$button><$reveal type="popup" state="$:/rejeski_kapuscinski_1"><div class="tc-drop-down">{{ref_data##rejeski_kapuscinski_1}}</div></$reveal>). In attempting to communicate information meta-data can be lost in two ways: the sender of information can give data without the meta-data information, or the receiver of information does not understand that part of the message. The first way, not giving meta-data with data, can be the result of restrictions of space within publication materials, the desire for the appearance of greater accuracy (<$button popup="$:/star_1">Star 1985</$button><$reveal type="popup" state="$:/star_1"><div class="tc-drop-down">{{ref_data##star_1}}</div></$reveal>), and until recently a lack of awareness of the potential importance of uncertainty information, particularly in the areas of human and environmental risk analysis (<$button popup="$:/rejeski_kapuscinski_1">Rejeski and Kapuscinski 1990</$button><$reveal type="popup" state="$:/rejeski_kapuscinski_1"><div class="tc-drop-down">{{ref_data##rejeski_kapuscinski_1}}</div></$reveal>). The second way that meta-data can be lost is when the receiver of information does not receive that part of a message. This can result from the ignoring of meta-data or the inability to interpret the meta-data through lack of experience in dealing with the way it is conveyed. This type of failed effective communication can be the result of the variable interpretations of both words and images. The meaning of words constitutes one of the major problems the U. S. Environmental Protection Agency has had to deal with in risk analysis (<$button popup="$:/rejeski_kapuscinski_1">Rejeski and Kapuscinski 1990, 12</$button><$reveal type="popup" state="$:/rejeski_kapuscinski_1"><div class="tc-drop-down">{{ref_data##rejeski_kapuscinski_1}}</div></$reveal>). Effective communication of meta-data has been studied in a strictly human realm (body language, etc.), but little has been done in the area of communication of uncertainty within the realm of scientific communication, particularly with spatial data (<$button popup="$:/rejeski_kapuscinski_1">Rejeski and Kapuscinski 1990</$button><$reveal type="popup" state="$:/rejeski_kapuscinski_1"><div class="tc-drop-down">{{ref_data##rejeski_kapuscinski_1}}</div></$reveal>, <$button popup="$:/maceachren_1">~MacEachren 1992</$button><$reveal type="popup" state="$:/maceachren_1"><div class="tc-drop-down">{{ref_data##maceachren_1}}</div></$reveal>).
This taxonomy should prove useful, particularly for reducing human communication uncertainties. By recognizing that uncertainty exists in measurement and is propagated in computer manipulation of data, these uncertainties can be dealt with openly and honestly, as <$button popup="$:/rejeski_1">Rejeski</$button><$reveal type="popup" state="$:/rejeski_1"><div class="tc-drop-down">{{ref_data##rejeski_1}}</div></$reveal> (1991) suggests. This, aided by visual communication techniques, should reduce human uncertainty by increasing the amount of information (by communicating meta-data) given in the presentation of data.
The effective communication of environmental data and uncertainty as meta-data requires an understanding of the principles of visual communication and map design. <$button popup="$:/dibiase_1">David ~DiBiase (1990)</$button><$reveal type="popup" state="$:/dibiase_1"><div class="tc-drop-down">{{ref_data##dibiase_1}}</div></$reveal> has developed a model of information display, in a research setting, as a means of communication in a continuum from communication to self through communication to others (see Figure 1.6). Communication to self can be thought of as "visual thinking", and includes data exploration, hypothesis generation and confirmation. At this level of data visualization, maps and other graphics are used to "prompt insight, reveal patterns in data, and highlight anomalies" (<$button popup="$:/maceachren_1">~MacEachren 1992, 1</$button><$reveal type="popup" state="$:/maceachren_1"><div class="tc-drop-down">{{ref_data##maceachren_1}}</div></$reveal>). The goal in the creation of these images should be to assist these goals. Because of these goals, it is with this type of visual communication that the possibility of visualization error is greatest.<$button popup="$:/maceachren_ganter_1">~MacEachren and Ganter (1990)</$button><$reveal type="popup" state="$:/maceachren_ganter_1"><div class="tc-drop-down">{{ref_data##maceachren_ganter_1}}</div></$reveal> describe these errors as seeing wrong (similar to the type I error in hypothesis testing--identifying a pattern that is not there) and not seeing (similar to the type II error--not identifying a pattern that is there). But, since these graphics are generally rough and intended only for viewing by the researcher(s), searching for one 'optimal' display is less important; more views on the same data may be more helpful and reduce the chances of not seeing or seeing wrong.
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|''Figure 1.6'' <$button popup="$:/dibiase_1">~DiBiase's</$button><$reveal type="popup" state="$:/dibiase_1"><div class="tc-drop-down">{{ref_data##dibiase_1}}</div></$reveal> (1990) model of the function of graphics in research. Visualization begins with exploring an idea. The idea then moves through confirmation and synthesis in a larger group of both ideas and people, and ends with presentation (although each stage can spawn new ideas).|c
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Communication to others can be thought of as "visual communication" and is the realm of presentation graphics. At this level of data visualization, maps and other graphics are used to synthesize data into an "abstract statement concerning patterns and relationships" (<$button popup="$:/maceachren_1">~MacEachren 1992, 6</$button><$reveal type="popup" state="$:/maceachren_1"><div class="tc-drop-down">{{ref_data##maceachren_1}}</div></$reveal>) and finally to present the information to others to persuade them of the accuracy of the data assessment (<$button popup="$:/maceachren_1">~MacEachren 1992, 7</$button><$reveal type="popup" state="$:/maceachren_1"><div class="tc-drop-down">{{ref_data##maceachren_1}}</div></$reveal>). <$button popup="$:/tufte_1">Edward Tufte's (1983, 77)</$button><$reveal type="popup" state="$:/tufte_1"><div class="tc-drop-down">{{ref_data##tufte_1}}</div></$reveal> principles of graphic excellence can help ensure the most information is presented in a minimum of space, and that this information is conveyed ethically:
* The representation of numbers, as physically measured on the surface of the graphic itself, should be directly proportional to the numerical quantities represented.
* Clear, detailed, and thorough labeling should be used to defeat graphical distortion and ambiguity. Write out explanations of the data on the graphic itself. Label important events in the data.
* Show data variation, not design variation.
* In time-series displays of money, deflated and standardized units of monetary measurement are nearly always better than nominal units.
* The number of information-carrying (variable) dimensions depicted should not exceed the number of dimensions in the data.
* Graphics must not quote data out of context.
Tufte also discusses the concept of data-carrying ink--that is, don't put more ink on the page than is necessary to convey the information. These principles are similar to those that <$button popup="$:/morgan_henrion_1">Morgan and Henrion (1990)</$button><$reveal type="popup" state="$:/morgan_henrion_1"><div class="tc-drop-down">{{ref_data##morgan_henrion_1}}</div></$reveal> propose for designing graphics for the presentation of uncertainty information. <$button popup="$:/olson_1">Judy Olson (1981)</$button><$reveal type="popup" state="$:/olson_1"><div class="tc-drop-down">{{ref_data##olson_1}}</div></$reveal> also suggests the need for clear and accurate legends in her guidelines for the production of bivariate maps.
<$button popup="$:/monmonier_johnson_1">Monmonier and Johnson (1990, 77)</$button><$reveal type="popup" state="$:/monmonier_johnson_1"><div class="tc-drop-down">{{ref_data##monmonier_johnson_1}}</div></$reveal> have proposed a guideline for the communication of environmental risk, which can aid in the making of maps for visual communication. Their multistep process is not a waterfall type model (when one level is completed it cannot be returned to), but rather a guideline for iterative refinement for the presentation of data. The steps they include are: setting up the design team; identifying the communication goal; the issue profile; the audience; the messages of environmental maps; methods; and evaluation. Setting up the design team acknowledges that one person may not have all of the knowledge necessary to adequately design a graphic, and that, as necessary, each of the following steps should involve each person who has or can contribute to the map. Identifying the communication goal is simply that a focus should be selected for the map; this will facilitate inclusion of important information and removal of extraneous data. The issue profile deals with the history of the problem to be mapped and the constraints on producing the map; that is, the 'environment' of the map and map design process.
The audience must also be considered when designing a graphic. This includes consideration of who will be viewing the map (politicians, scientists, the public, etc.). These different audiences will generally have varying degrees of map-interpretation skills; this influences the amount of explanatory information that should be included, the appropriateness of bi- or multivariate maps, and the appropriateness of 'eye catchers' such as bright colors. Consideration of the audience should also include an acknowledgment of how the map will be presented; this is part of the issue profile and influences the choices of methods.
<$button popup="$:/monmonier_johnson_1">Monmonier and Johnson (1990)</$button><$reveal type="popup" state="$:/monmonier_johnson_1"><div class="tc-drop-down">{{ref_data##monmonier_johnson_1}}</div></$reveal> present a list of several categories of messages that environmental maps generally present. The first of these is "What we found/What we know/What we think we know" (p12). This is the presentation of information at its most basic level, but even at this level meta-data can be presented--'what we think we know.' The second of these messages is "What you can do/What you should do" (p13). This is very dependent on the choice of audience--a lawmaker's set of choices of what to do can be quite distant from a concerned citizen's, for example. The third message is "What we're doing/What we want to do" (p13). For this type of message Monmonier and Johnson suggest that an overview map with several smaller maps of detail maps may aid the presentation. The last category is "Why we're doing what we're doing/Why you should do what we're asking you to do" (p13). This type of map should present the reasoning behind a choice or plan of action; this can include the presentation of the history side of the issue profile.
The final two steps of Monmonier and Johnson's strategy are methods and evaluation. Methods need to address questions such as the need for one or several maps, how these maps will be presented (large size color maps, 8.5x11 black and white maps, slides, video, etc.) and whether or not additional information such as non-map graphics should be included. Although evaluation is presented as the last step in map design, it is a part of each of the earlier steps. It is the last step as a review of the, possible, final design. Evaluation can be formal (a survey) or informal (a telephone call to someone who has seen the map and can suggest any possible improvements).
Jacques Bertin proposed a group of 'visual variables' that has since been added on to by other cartographers (such as: <$button popup="$:/morrison_1">Morrison, 1974</$button><$reveal type="popup" state="$:/morrison_1"><div class="tc-drop-down">{{ref_data##morrison_1}}</div></$reveal>; <$button popup="$:/mccleary_1">~McCleary, 1983</$button><$reveal type="popup" state="$:/mccleary_1"><div class="tc-drop-down">{{ref_data##mccleary_1}}</div></$reveal>; and <$button popup="$:/">Woodward, 1991</$button><$reveal type="popup" state="$:/woodward_1"><div class="tc-drop-down">{{ref_data##woodward_1}}</div></$reveal>). This group of variables constitutes those representational techniques that a cartographer or illustration designer has in the creation of an image. The list includes: location, size, value, hue, intensity, orientation, shape, texture, arrangement, and focus (see Figure 1.7). This list is not necessarily all inclusive, but the list is useful in the design of maps and graphics. Each of the variables can be used to establish visual isolation (difference from surroundings) and visual levels (greater noticeability) (see Figure 1.1 on See Figure 1.1), and according to Bertin, these visual variables have certain levels of measurement that are commonly associated with them, and thus allow representations that convey the character of the data.
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|''Figure 1.7'' The visual variables as presented by <$button popup="$:/dibiase_krygier_reeves_maceachren_brenner_1">~DiBiase, Krygier, Reeves, ~MacEachren, and Brenner (1991)</$button><$reveal type="popup" state="$:/dibiase_krygier_reeves_maceachren_brenner_1"><div class="tc-drop-down">{{ref_data##dibiase_krygier_reeves_maceachren_brenner_1}}</div></$reveal>. All have been done in ARC/INFO 6.0, but some (such as texture for point symbols, orientation for line symbols, and arrangement for area symbols) are more difficult and, thus, less useful than others.|c
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In a static map, the use of location is limited to the signification of the spatial place of an item, although in orthogonal displays, location is a flexible tool because of the possibility of specifying the viewpoint on a simulated three-dimensional surface. In multiple maps, or dynamic mapping, change in position can be used to show movement of a feature. It is inherently an interval/ratio variable, but can be used to depict all levels of measurement.
Size is most often used to depict an ordinal variable, although interval/ratio variables can also be depicted using size. Because a larger symbol is almost always associated with 'more,' this is the context that it should generally be used in.
Of the 'color' variables, <$button popup="$:/bertin_1">Bertin (1983, 42)</$button><$reveal type="popup" state="$:/bertin_1"><div class="tc-drop-down">{{ref_data##bertin_1}}</div></$reveal> only identified value and hue. Value, like size, has a distinct range from more to less and is therefore good for mapping ordinal data and can also be used for interval/ratio data. ARC/INFO refers to value as lightness. Hue can be used to depict ordinal or interval/ratio data because the frequencies that constitute hue are ordered, but these orders are not always readily remembered and used; hue (at a constant value and intensity) is therefore best used for nominal data. Intensity, which is also called saturation, has a distinct range from more to less and is therefore good for ordinal data.
As availability increases for the means of creation of high resolution color displays, use of the color visual variables will become an even greater part of cartography. Color can be specified in several ways (<$button popup="$:/dent_1">Dent 1985</$button><$reveal type="popup" state="$:/dent_1"><div class="tc-drop-down">{{ref_data##dent_1}}</div></$reveal>). One common and useful way is the Munsell color system (see Figure 1.8); it is based on the human perception of color (and is similar to the Tektronix color cone, and a color specification system in ARC/INFO, Hue-Lightness-Saturation). This system divides color into the three visual variable categories value, hue and intensity.
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|''Figure 1.8'' The Munsell color system; for example, an intense yellow would be specifies as 5Y7/14.|c
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Value is the measure of the lightness or darkness of a surface; it is the total amount of light that is reflecting or emitting from a surface measured relative to the human ability to discriminate black from gray up to white. It is the only measure of light along the white-gray-black continuum, because all frequencies of light should be equally present.
Hue is the term most often meant when the word 'color' is used. The Munsell color system records hue as an angular measure around a color space. It represents the modal value of the frequency of light that is reflecting or being emitted from a surface. When a light has no modal frequency, the perceived light is along the white-gray-black continuum, which constitutes the central axis of the Munsell color space.
Intensity is a measure of the purity of the spectral frequency of light. It represents the variance of the frequency of light; greater variance means that a larger range of frequencies of light are being emitted or reflected from a surface--that the surface has more gray in it. A feature of intense colors is that they tend to be more noticeable (stand out more) than less intense colors, even when the total amount of light reflected or emitted may be the same, which makes intensity good for establishing visual hierarchies. Because of the human visual system, the value of the most intense color of different hues varies, with yellow having the highest value for its maximum intensity. This change is accounted for in the Munsell color system; the Tektronix color cone assumes that maximum intensity for any color occurs at the midpoint of the value scale.
For cartographic use in displaying ordered data, color hues are generally arranged to allow ease of interpretation. There are many possible color schemes, many having been suggested for terrain shading. For other data, the spectral ordering of hues may be the most obvious for use in mapping ordered data, but because colors can shift in intensity and value, this may lead to misleading maps--yellow will stand out in the spectral pattern. Two suggestions are of note for remedying this problem. The first is the use of a part-spectral scheme: yellow through orange to red; or, yellow through green to blue. This can allow redundancy in the visual variables of intensity and value, which reinforces the hue progression. The second is the use of hues ordered on the basis of value. This may be a viable alternative, but could prove confusing to those who know the spectral sequence of hues.
The ability to discriminate colors has received some study, particularly in the discrimination of values. The Munsell color system divides the range from black to white into eleven steps, as does the system for black and white photography developed by Ansel Adams (<$button popup="$:/upton_upton_1">Upton and Upton 1989, 313</$button><$reveal type="popup" state="$:/upton_upton_1"><div class="tc-drop-down">{{ref_data##upton_upton_1}}</div></$reveal>). For most cartographic use, eleven steps would be both difficult to create and difficult to interpret; most cartographic research indicates that the use of half that range (five or six) is better for map design. If value gives an indication for the amount of discriminability that can be expected for intensities, four intensity values is probably the most that should be used. Discrimination of hues for cartographic use is affected by the apparent changes in intensity and value that occur as hue is changed, but for univariate symbolization, five steps should be easily discriminable in one of the part-spectral sequences.
Colors are produced by two methods: color addition and color subtraction. The color addition process is most commonly seen in color monitors for computer displays and television. It involves the mixture for red, green and blue to create colors on a black surface with all three being used for white. The color subtractive process is used for the production of printed material, such as paper maps. It involves the use of cyan, yellow and magenta (and black) to subtract colors that would reflect from the surface of white paper. Because the overprinting of cyan, yellow, and magenta generally leaves muddy brown, black is often used as a fourth color in the printing process. Colors are obtained by overprinting the four separates, with each offset slightly in order to allow the apparent mixing of colors in a dither pattern.
The production processes must be kept in mind when choosing color schemes on a color monitor that will be printed on a paper output device. Colors on a computer display may not appear the same on a printed sheet, because of the change in creation method. In addition, on a computer monitor, a point can take on any of the possible colors generatable by the graphics system, and resolution is independent of color. On paper output, the dither patterns that are used to create the appearance of many colors may cause a change in apparent color and, more significantly, output resolution. ARC/INFO allows the use of color lookup tables in commands such as HPGL2 (<$button popup="$:/esri_2">ESRI ARC Command References, 1991</$button><$reveal type="popup" state="$:/esri_2"><div class="tc-drop-down">{{ref_data##esri_2}}</div></$reveal>) to enable redefining screen colors to pretested printer colors to help compensate for changes in color; changes in resolution must be accounted for by the cartographer.
A final consideration for color (particularly hue) is its social interpretation. Colors can have meanings that must be taken in to consideration when designing maps and graphics, for example: red as stop; yellow as caution; green as go. For environmental maps, use of red (particularly, intense red) can indicate imminent danger, and with dark shades of other colors (blues, grays and browns, for example) can evoke a sense of foreboding or futility (this is demonstrated in The Nuclear War Atlas and movies such as Blade Runner). Other color schemes can invoke other reaction: pastels (colors of low intensity and high value) can indicate serenity (unclassified maps by the Central Intelligence Agency often make use of pastels); intense colors such as yellow and cyan grab attention, and can indicate happiness--they are often used in maps for children.
The final three variables that Bertin identified are orientation, shape and texture. Orientation is readily discriminated by the human visual system and is therefore good for indication of nominal data, although by using common symbols such as clock faces, ordinal and interval/ratio data can be displayed with orientation. Shape should be used for nominal data categories, because shapes in general do not have an apparent order and are not as readily distinguished as other visual variables. Texture is the relative coarseness of an area fill, and because rough textures appear closer than fine textures, texture is good for establishing visual hierarchies. Texture should generally be used for nominal data, but it can also be used for ordinal and interval/ratio data.
Unlike orientation and texture, shape has a continuum of possible representations: from mimetic to abstract (see [[2.1 Classifying Space]]). Mimetic symbols convey the appearance of what they represent (an animal's outline represents sightings of that animal). Abstract symbols must be defined (a legend indicates that triangles represent sightings). ARC/INFO provides many abstract symbols, a few that are less abstract (for example, an anchor that might be used to represent a marina), and the ability to define new symbols (see Map Display and Query). Selection of appropriate levels of abstractness must be considered in designing a display--use of mimetic symbols may allow less dependence on the legend, but too many mimetic symbols may give the appearance of a map oriented toward children.
Two additional visual variables that have been identified since Bertin proposed his list are arrangement and focus. Arrangement is the order of symbols in an area fill (from regular to random to clustered), and nominal and ordinal data can be represented by changes in arrangement. Focus is the last visual variable; it is the crispness of the edges of symbols. Because this has an apparent order, focus can be used to display ordinal data and could be used for interval/ratio data, although too much variability of focus may make a map hard to read.
The communication of uncertainty has been studied by <$button popup="$:/morgan_henrion_1">Morgan and Henrion (1990)</$button><$reveal type="popup" state="$:/morgan_henrion_1"><div class="tc-drop-down">{{ref_data##morgan_henrion_1}}</div></$reveal> with Harold Ibrekk, although their concern was the communication of the uncertainty of linear data. Because of this, the methods they present cannot be readily used in the communication of mapped geographic data, except for point symbolization (even this is difficult in ARC/INFO), but their study highlights some of the difficulties that can be encountered in the visual communication of uncertainty and their conclusion are useful.
Their study analyzed nine methods for displaying uncertainty in linear data: a point estimate with an error bar; a discrete density function); a pie chart; a probability density function; a half-height probability density function mirrored on the x-axis; a dot density horizontal bar a vertical line density horizontal bar; a modified Tukey box plot (minimum and maximum points are not included, and a mean point is included); and a cumulative density function (see Figure 1.9). Their recommendations include using displays that specifically show the information that is to be extracted (such as a point for a mean value, if mean values are important), and using multiple displays (particularly, display the cumulative density function and the probability density function one over the other, with a common horizontal axis).
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|[img[fig19.gif]]|
|''Figure 1.9'' The methods of graphically communicating uncertainty tested by Morgan, Henrion and Ibrekk (redrawn from <$button popup="$:/morgan_henrion_1">Morgan and Henrion 1990, 228-9</$button><$reveal type="popup" state="$:/morgan_henrion_1"><div class="tc-drop-down">{{ref_data##morgan_henrion_1}}</div></$reveal>; not to scale). For single variable graphs Morgan and Henrion suggest using a combined probability density/cumulative density display, and labeling important point in the data (for example, the mean value).|c
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</center>
For two- and multidimensional uncertainty in non-spatial displays, Morgan and Henrion give several examples of methods that can be used for graphing (see Figure 1.10). These include: multiple lines in a probability density/cumulative density pair; multiple Tukey box plots; linear graphs with error bars; orthogonal displays; and triangle plots alone and in multiples.
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|[img[fig110.gif]]|
| ''Figure 1.10'' Two- and multidimensional representations of uncertainty (redrawn from <$button popup="$:/morgan_henrion_1">Morgan and Henrion 1990, 240-51</$button><$reveal type="popup" state="$:/morgan_henrion_1"><div class="tc-drop-down">{{ref_data##morgan_henrion_1}}</div></$reveal>; not to scale). Values in triangle plots are read by going from each of the bisecting lines out perpendicularly to the point of intersection; the position on the bisecting line is the value of the point for that measure, and the sum of the measures from the three bisecting lines will equal 100%. The 50% and 90% probability areas for the most likely location for a measured point indicate peaks in the trivariate probability density function.|c
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</center>
They conclude with a list of factors that should go in to design of uncertainty displays (<$button popup="$:/morgan_henrion_1">Morgan and Henrion 1990, 252</$button><$reveal type="popup" state="$:/morgan_henrion_1"><div class="tc-drop-down">{{ref_data##morgan_henrion_1}}</div></$reveal>):
* finding a clear, uncluttered graphic style and an easily understood format,
* making decisions about what information to display,
*making decisions about what information to treat in a deterministic form and what to treat in a probabilistic form,
* making decisions about what kind of parametric sensitivities will provide key insights.
They also suggest that display design often involves the reduction of a multidimensional model into the two dimensions of a paper or monitor display (as does <$button popup="$:/tufte_2">Tufte 1991</$button><$reveal type="popup" state="$:/tufte_2"><div class="tc-drop-down">{{ref_data##tufte_2}}</div></$reveal>), and that the intended audience's experience in interpreting graphs must be considered when creating a display.
For the representation of uncertainty for spatial variables, there are two possible cartographic routes. The first of these is the creation of two maps, one for displaying the data, and one for displaying the meta-data. <$button popup="$:/olson_1">Olson (1981)</$button><$reveal type="popup" state="$:/olson_1"><div class="tc-drop-down">{{ref_data##olson_1}}</div></$reveal> and <$button popup="$:/carstensen_2">Laurence Carstensen (1986)</$button><$reveal type="popup" state="$:/carstensen_2"><div class="tc-drop-down">{{ref_data##carstensen_2}}</div></$reveal> have tested this choropleth map arrangement against two bivariate mapping techniques (Olson: spectral encoding; Carstensen: intersecting lines) in the representation of statistical correlation.
Olson finds that map readers can initially interpret value shaded, monovariate map pairs more readily than bivariate maps. On the other hand, she reports that over half of those who could interpret bivariate maps at a significantly better than guessing level, did better with a bivariate map than two separate maps. She then suggests that the bivariate maps may be more readily interpreted once the "cognitive hurdle" (<$button popup="$:/olson_1">Olson 1981, 269</$button><$reveal type="popup" state="$:/olson_1"><div class="tc-drop-down">{{ref_data##olson_1}}</div></$reveal>) of the bivariate mapping technique is overcome.
Carstensen also finds that map readers find interpreting value shaded, monovariate map pairs easier than bivariate maps. Because his test compared a classed map pair and unclassed bivariate maps, the problem he notes with the use of map pairs (poorer statistical residual scores) would not be as likely to occur if map pairs are compared with classed bivariate maps.
The map pair technique should be a useful tool for communication of two variables, when the data must be classed (as is done for pragmatic reasons in ARC/INFO). Since meta-data values may not be correlated with data values, the use of two monovariate maps should be an effective tool for communicating uncertainty versus techniques that were designed to highlight spatial correlation.
The second cartographic route for the visual representation of uncertainty is bivariate mapping (the mapping of two variables onto the same map). This would ensure that meta-data is presented to the map reader with the data, but this mapping method generally increases the difficulty with which data can be extracted from a map. Because of the variety of visual variables, there are several possible methods of bivariate mapping, some of which have been tested for communication effectiveness; most of these have been oriented toward the representation of spatial correlation. This includes the testing of the intersecting lines method (which uses texture), color maps made by the U. S. Census Bureau (which uses a full hue range to achieve bivariate representations--spectral encoding), color maps that rely on two complementary hues, and the equiprobability ellipse (which also uses the complementary hues).
In a technique that allows for bivariate mapping in monochrome displays, <$button popup="$:/carstensen_1">Carstensen (1982)</$button><$reveal type="popup" state="$:/carstensen_1"><div class="tc-drop-down">{{ref_data##carstensen_1}}</div></$reveal> has tested the communication effectiveness of the intersecting lines method of bivariate mapping (see [[Figure 5.4b|5.2 Monochrome Bivariate Choropleth Symbolization]]). These maps use horizontal and vertical lines for representing two variables. Carstensen suggests that this scheme be used in an unclassed map, but this scheme can be used for classed representations of data and meta-data. Although this technique can be used in monochrome displays, colored lines can be used to distinguish the two variables (this has not been tested for communication effectiveness, though).
This technique has one disadvantage: the method of producing the area symbolization may lead to a conflict between two visual variables. Both texture and value change with the mixing of the lines; both establish visual hierarchies with coarse textures and dark values standing out in the display. This is a problem because in the representation scheme these two points (coarseness and darkness) are at opposite ends of the data ranges. This can cause value to be used for identifying relationships even though squareness in the texture is the intended visual variable (<$button popup="$:/carstensen_2">Carstensen 1986</$button><$reveal type="popup" state="$:/carstensen_2"><div class="tc-drop-down">{{ref_data##carstensen_2}}</div></$reveal>).
The U. S. Census products, originally published for 1970 census data, that show two variables were studied for communication effectiveness by <$button popup="$:/olson_1">Olson (1981)</$button><$reveal type="popup" state="$:/olson_1"><div class="tc-drop-down">{{ref_data##olson_1}}</div></$reveal> (see [[Figure 5.5c and 5.5d|5.3 Color Bivariate Choropleth Symbolization]]). These maps use two hue patterns for representing two variables, with the part-spectral ranges of yellow to blue and yellow to red being used on the x and y axes, respectively. Olson reports that some of these maps (such as education and income) convey information well, especially for homogeneous regions. She also indicates that these maps are thought to be more authoritative and more innovative than two separate maps showing the same information. In concluding, she suggests that prominent and clear legends are necessary for accurate interpretation of bivariate maps; that both the monovariate map pair and the bivariate map be shown, with the monovariate map pair in a monochrome format; and explanatory notes should be include to the types of information presented. These guidelines are in keeping with both Morgan and Henrion, and Tufte, and are feasible with ARC/INFO's ability to rapidly generate small, monovariate maps.
As a response to the problems of interpreting a spectrally encoded bivariate maps, Steiner (1979, in <$button popup="$:/eyton_1">Eyton 1984</$button><$reveal type="popup" state="$:/eyton_1"><div class="tc-drop-down">{{ref_data##eyton_1}}</div></$reveal>) has proposed a complementary color scheme (see [[Figure 5.6|5.3 Color Bivariate Choropleth Symbolization]]). This color system makes use of the mixing of complementary colors (such as red and cyan) to produce a central gray region that highlights the diagonal that represents correlation in a bivariate map. This can be done for unclassed or classed representations of data, and by flipping the order of one tint, negative correlations can be shown as well as positive correlations.
Building on Steiner's proposal, <$button popup="$:/eyton_1">J. Ronald Eyton (1984)</$button><$reveal type="popup" state="$:/eyton_1"><div class="tc-drop-down">{{ref_data##eyton_1}}</div></$reveal> developed the complementary color bivariate map with an equiprobability ellipse (see [[PEE.aml|3.3 Color Bivariate Point Symbolization]], [[LEE.aml|4.3 Color Bivariate Line Symbolization]] and [[CEE.aml|5.3 Color Bivariate Choropleth Symbolization]]). These maps use a modified, 2x2 complementary color range, with an additional class that occurs in the middle of the matrix and represents the central cluster of data. By plotting the two variables to be mapped on a scatter diagram, linearly correlated data will have an ellipse-shaped central cluster. By selecting a percentage of the total number of observation to be included in the central ellipse, a category for the central cluster can be created with the formula (<$button popup="$:/eyton_1">Eyton 1984, 488</$button><$reveal type="popup" state="$:/eyton_1"><div class="tc-drop-down">{{ref_data##eyton_1}}</div></$reveal>):
<<<
X^^2^^ = (((//X// - //Xm//)^^2^^ ÷ σx^^2^^) - ((//Y// - //Ym//)^^2^^ ÷ σy^^2^^) ÷ (1 - //r//^^2^^) - 2//r// × (//X// - //Xm//) × (//Y// - //Ym//) ÷ (σx × σy)
X^^2^^ = chi-square (1.386 for 50%)<br />
//X//, //Y// = the X and Y observations<br />
//Xm//, //Ym// = the means of X and Y<br />
σ//x//, σ//y// = the variances of X and Y<br />
//r// = coefficient of correlation (Pearson's r)
<<<
When this ellipse is displayed in gray, surrounded by the four corners of the data set in white, black, red and cyan, a bivariate map that portrays the central data cluster explicitly (without having a staircase effect) can be created.
There are other possible methods of bivariate mapping that have been postulated as effective communicators of (un)certainty. Two of these, which have not been tested, are color intensity and focus. Neither of these methods place emphasis on a correlation of the data and meta-data variables, but rather use visual variables to highlight portions of the data set, as determined by the meta-data information.
Use of color intensity may prove useful for the cartographic representation of uncertainty, because it allows the highlighting of certain (or uncertain) areas by specifying intense shades for those areas, and less intense for others (see [[Figure 5.5b|5.3 Color Bivariate Choropleth Symbolization]]). Because intense colors stand out in an image, this technique would allow the creation of a distinct visual hierarchy that emphasizes certain (or uncertain) values. Generally, for maps that will be used for data communication (as in the [[DiBiase model|1.3 The Idea of Visual Communication]]), intense colors should represent certain areas and less intense (that is, more gray) colors should represent uncertain areas.
Focus is potentially a useful means of representing uncertainty. <$button popup="$:/maceachren_1">~MacEachren (1992)</$button><$reveal type="popup" state="$:/maceachren_1"><div class="tc-drop-down">{{ref_data##maceachren_1}}</div></$reveal> presents several possible variations on focus: edge crispness (for external boundaries of points, lines and areas), fill clarity (for internal boundaries within point, line or area symbols), fog (by imposition of an interposing, translucent layer over another symbol), and resolution (point thinning for vector databases or aggregation in to larger area units for raster databases). All of these involve the blending of a symbol with the surrounding parts of the image, thereby eliminating clearly defined regions. In ARC/INFO edge crispness can be accomplished by buffering regions and careful assignment of color in the buffer areas; resolution can be accomplished by thinning points manually or with the ARCEDIT command GENERALIZE.
Another method of bivariate mapping is the use of a fishnet, orthogonal, view to display one data set, with another data set used to color the display (see Figure 9.2 in [[9.3 Color Bivariate Isopleth Symbolization]]). This is commonly used as a technique for displaying terrain elevation (with land use/land cover draped over the net by specifying the net's color with the land use symbolization scheme), although there is no restriction on its use for other types of data. When a data layer represents information that is known to be continuous and smoothly changing (such as elevation, air temperature, or air pressure), this type of representation is appropriate. If the uncertainty of a spatial data layer can be shown or assumed to be continuous and smoothly changing, a fishnet representation of that statistical surface (with data values used to specify the color of the net) should be an effective method of conveying meta-data.
Finally, another representation of continuous and smoothly changing data that could be used to display data and meta-data is the use of isolines (see Figure 9.1a in [[9.1 Monovariate Isopleth Symbolization]]). With this technique data and/or meta-data can be represented, with the use of another display technique if only one is to be displayed with isolines. Like fishnets, isolines are often used for displaying terrain information (as in topographic maps), but isolines can also be used to show data and meta-data. This could be accomplished by using different hues, values, intensities, sizes, or textures to indicate which lines represent data and which represent meta-data.
! Chapter Ten: Thematic Mapping in ARC/INFO Because of the great flexibility of ARC/INFO, a wide variety of maps can be generated within the system. This guide's focus has been on the design of environmental maps. These maps include maps of point data (Toxic Release Inventory sites, for example), linear data (STORET information), and area data (demographic/Census data). With the GRID and TIN modules, ARC/INFO has the ability to show area data with grid cell, dot density, isoline and fishnets, as well as the choropleth and graduated circles methods that are part of ARCPLOT. !! Summary of Presented Methods The methods presented in this guide have been based on the theoretical construct, 'visual variables.' Use of this construct allows the specification of rules for matching data to symbolization types. Each of these rules is indicated in the subsection headings in Chapters Three through Nine. For point and line data, select the number of variables that need to be represented with one symbol, then match the appropriate data levels to the symbolization method by following the headings (Ratio Data--Size, etc.). For area data, the character of the data must be considered. Data that are continuous and changes abruptly at boundaries should be displayed with choropleth maps (for example, sales tax rates). Data that are continuous and smoothly changing should be displayed with isoline of fishnet maps (for example, elevation). Data that are discrete and smoothly changing should be displayed with dot density maps (for example, population density). Data that are discrete and abruptly changing should be displayed with graduated symbols (for example, TRI point source emissions). !! Areas of Possible Continued Research As a simple continuation of these AMLs, there are many possibilities of combinations of data types (particularly for area data) and visual variables that are not presented here. This expanded set of AMLs, could be developed on an as needed basis. A potentially valuable addition to the ARC/INFO repertoire is the development of animation. Time can be used to show temporal changes in data, for touring a data set, or for display of some other variable. These abilities can be used to both impress (as in visual communication) and highlight otherwise obscure relations (as in visual thinking). !! Acknowledgments I would like to thank my colleagues at the National GIS Program: Tommy Dewald, Jeff Booth, Dave Wolf, and Ed Partington for seeing the need for an ARC/INFO cartographic guideline and reviewing the text. Dave Rejeski originally foresaw the need for a guideline, from which this has developed. At the Pennsylvania State University, Deryck Holdsworth has provided valuable guidance, for the version of this guideline that is my master's thesis. Anthony Williams also provided helpful comments.
As Monmonier and Johnson indicate, the process of designing and creating maps and graphics is a multistep process. There are many things that must be considered in the design process, including the classification of both space and data, and issues such as page layout. This chapter addresses these issues in the context of ARC/INFO and leads into the methods of representing data that are presented in later chapters. * [[2.1 Classifying Space]] * [[2.2 Classifying Data]] * [[2.3 Page Layout]] * [[2.4 ARC/INFO Hints]]
A fundamental process in the classification of space is the abstraction of data. <$button popup="$:/maceachren_ganter_1">~MacEachren and Ganter (1990)</$button><$reveal type="popup" state="$:/maceachren_ganter_1"><div class="tc-drop-down">{{ref_data##maceachren_ganter_1}}</div></$reveal> have describe this as a shifting along a continuum ranging from images to graphics. At one end of this continuum is information in its rawest form: for spatial data, aerial photographs and other remote sensing products (see Figure 2.1, left). Further along the continuum, maps provide an abstraction of images (Figure 2.1, middle). Some of the information that is present in an image is dropped in order to allow symbolization of information that may not be directly perceivable in the image. For example, replacing a dark line through a green area with symbols for a road and a forested area; the road can then be given a label, as well as provide an indication of the number of lanes and access. At the other end of the continuum, graphics allow the use of position in the display to symbolize any variable (Figure 2.1). For example, a distance decay graph uses the X axis to indicate distance from a point in any direction, and the point may not be tied to any one geographic location.
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|''Figure 2.1'' The Image to Graphic continuum. Images approximate what we see, graphics provide abstraction of, possibly, invisible relations (<$button popup="$:/maceachren_ganter_1">~MacEachren and Ganter, 1990</$button><$reveal type="popup" state="$:/maceachren_ganter_1"><div class="tc-drop-down">{{ref_data##maceachren_ganter_1}}</div></$reveal>).|c
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A similar continuum is the range of symbols that can be used in maps and graphics (see Figure 2.2). At the end of the continuum most similar to images are mimetic symbols.
At the end of the continuum most similar to graphics are abstract symbols. Except for a few symbols that are toward the mimetic end of this continuum, most of the symbols that are provided with ARC/INFO are abstract--these tend not to have commonly accepted meanings, and thus can be defined by the cartographer as needed.
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|''Figure 2.2'' The Image to Graphic continuum applied to symbolization. Symbols can vary from mimetic to abstract. All of these symbols could be used to represent a marina--the audience must be considered in selecting which to use.|c
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</div>
The degree of abstraction that should be used is dependent on several factors. Most importantly, the data that needs to be mapped must be effectively shown, with a degree of abstraction that is appropriate to the data. For example, if a distance decay model is developed from a set of sample sites, showing the values measured at individual sites may not convey the distance decay as clearly as a graph. If the site locations are important, a map can be generated with the data and an inset showing the graph can be made using ARCPLOT's graphing tools. As mentioned in Chapter One, the audience must also be considered when determining symbolization abstractness. Highly mimetic symbols can convey a sense of simpleness, which may need to be avoided in order to project an image of authority. A third consideration is the means of display; mimetic symbols can be used to minimize the need for/use of a legend. This can be helpful for slides and overhead displays.
!! Projections
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|''Figure 2.3'' EPA Region Six shown in Alber's conic equal area projection.|c
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There are several classes of projections, each with strong points. Equal area projections show the same amount of space on the earth's surface for any given area of the map. Equidistant projections show true distance from a point or along given lines. Conformal projections have a constant scale in every direction from any given point, and because of this latitude and longitude lines meet at right angles. Some projections, such as Robinson's, are not mathematical transformations, but rather, tabular. These projections have been designed for specific purposes (Arthur Robinson developed his projection for world maps that are more visually appealing than others, like the Mercator projection). Other projections include the Mercator and gnomic projections; the Mercator projection shows lines of constant compass directions as straight, and the gnomic projection shows all great circles as straight lines. These two projections are best used for navigation and not for general reference or environmental maps.
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|[img[fig24.gif]]|
|''Figure 2.4'' EPA Region One shown in the sinusodial equal area projection.|c
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</div>
For environmental maps, in general, equal area projections should be used. This insures that symbols, especially those based on size, are not distorted on the basis of the base cartographic data (such as county, or state outlines). For the 48 contiguous states, Alber's conic equal area projection should be used; Alber's conic should also be used for smaller regions that are east-west oriented, such as EPA Region Six (see Figure 2.3). The sinusoidal equal area projection should be used for regions that are north-south in extent, such as EPA Region One (see Figure 2.4). Lambert's azimuthal equal area should be used for areas that have the same extent in all directions from a center point (see Figure 2.5).
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|''Figure 2.5''' EPA Region Four shown in Lambert's azimuthal equal area projection.|c
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Because the distortions of any given projection are scale dependant, the use of any specific projection becomes less critical as the map's scale increases (and thus the area shown becomes smaller). For example, a map of a hazardous waste site may need the Universal Transverse Mercator grid for locations within the site; at this large a scale (1:50,000 or larger) use of the UTM projection is more appropriate than an equal-area projection--there will be little, if any, perceivable distortion of areas regardless of the projection used, as long as the projection is centered on the site.
The ARC command PROJECT allows transformation of coverages between projections, as well as realignment of projections. If data is obtained from a national database, the projection (if not included with the database) may be:
```
Project: projection albers
Project: units meters
Project: parameters
1st standard parallel: 29 30 0
2nd standard parallel: 45 30 0
central meridian: -96 0 0
latitude of projections origin: 23 0 0
false easting (meters): 0
false northing (meters): 0
```
Because this is designed for the contiguous 48 states, any subset of this data should be reprojected for the subset, even if the output projection is Alber's. In particular, the standard parallels should be chosen such that the new parallels divide the region into three equal east-west bands, and the central meridian select bisects the region. This minimizes distortion away from the parallels and prevents an appearance of the whole map leaning in one direction, which results from an off-center central meridian.
!! Scale and Generalization
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|''Figure 2.6'' Insets allow focusing on detail and give a 'big picture.' When possible, place them in otherwise unused space.|c
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</div>
As noted above, selection of scale is critical in the selection of an appropriate projection. Scale is also important in the selection of total area to be mapped, and the relation of the area to the data to be mapped. By using a smaller scale, and thus showing more area, the apparent seriousness of a problem will be reduced. This is because the apparent extent of a problem is reduced by showing more of the surrounding area. Zooming in on a site has the opposition effect--the appearance of symbolization over a large part of the display conveys the idea that the problem is everywhere. Use of zoomed in areas, which allow presentation of detail, with a locator map can combine these two extremes (see Figure 2.6). The locator map allows a wide perspective, which, when combined with the large-scale, detailed map, conveys both a micro and a macro reading, as <$button popup="$:/tufte_2">Tufte (1990)</$button><$reveal type="popup" state="$:/tufte_2"><div class="tc-drop-down">{{ref_data##tufte_2}}</div></$reveal> suggests is a key component of good presentation graphics.
!! Space and Time
With the increased processing speed of single user workstations, and the increased flexibility of ARC/INFO, animation of data--both for analysis and presentation--is becoming feasible. Animation has several possible approaches. Change in time can be used to depict existence, attributes, or change in existence or attributes. Change can also be broken into: looking at different parts of a data set, one after the other; looking at a data set that shows variation in time, in time sequence; or use of progression in time to show another data variable (this is comparable to use of an axis of a graph to indicate change in time rather than change in space).
There are two primary methods of creating animations in ARC/INFO, and both require AML programming. The most flexible method is the use of AML driven interactive map composition. This allows the display of an object (for example a point location, such as the population center of the United States) that changes over time. The object can be drawn at one location, erased with the MDELETE command, and redrawn at a new location. The other method of animation is the use of GRID to display changes in area data. The cliche 'Raster is Faster' is still true enough to make a difference. Separate grid layers can be generated, each of which shows the change in areal extent of a phenomenon. Each layer can then be draw with successive calls to a display routine.
Data to be mapped for presentation should generally be classified (into five or six groups) in order to aid ease of interpretation. When drawing features in ARCPLOT, the commands: ARCLINES, LABELMARKERS, POINTMARKERS, and POLYGONSHADES, as well as AML driven RESELECT's, allow the use of lookup tables to define a data to symbol relationship for feature display (the CLASS command also allows grouping of data). These tables allow user defined ranges for cartographic products, rather than the default of directly relating the data item identifications with the symbol set identifications. These ranges must be determined by the cartographer and range types include: quantiles, equal intervals, geometric progressions, mean and standard deviation intervals, and natural breaks (the Jenks' Optimal classification) (see Figure 2.7). Certain data sets may need to be classified on the basis of predetermined breaks (such as maximum allowable concentration of a pollutant). This can be accomplished by manually specifying all breakpoints, or by use of another classification scheme, with the externally defined break added in. For example: run the Jenks' optimal AML for five classes, note the breakpoints, then run the manual specification AML on a new lookup table and specify the Jenks' breakpoints plus the predefined point.
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|[img[fig27.gif]]|
|''Figure 2.7'' Breakpoints set by different classification schemes. Equal Interval is close to the statistically optimal (Jenk's), for this example. Quantile separates relatively similar values at the extremes of the distribution. Mean and Standard Deviation fail because the distribution is bimodal, not normal; Exponential fails by grouping all of the items greater than 256 into one category.|c
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</center>
!! Manual Classification
For both the CLASS command and lookup tables, break points can be chosen manually, by exporting the data to a statistical package, or with the assistance of the ARCPLOT command STATISTICS. The command syntax is:
''STATISTICS'' <cover> <feature_class>
; <cover>
: contains the items to be classed
; <feature_class>
: includes POINTS, ARCS and POLYS
STATISTICS has several subcommands:
* SUM <item>
* MEAN <item>
* MINIMUM <item>
* MAXIMUM <item>
* STANDARDDEVIATION <item>
* END - indicates all subcommands have been entered.
<item> is a field in the attribute table of <cover>.
These values can be used to calculate mean and standard deviation break points, as well as quantiles and geometric progressions.
There are several methods of defining classes within ARC/INFO, as well as several methods of determining class breaks. As <$button popup="$:/maceachren_1">~MacEachren (1992)</$button><$reveal type="popup" state="$:/maceachren_1"><div class="tc-drop-down">{{ref_data##maceachren_1}}</div></$reveal> notes, interval and quantile classification systems, which are automated parts of the CLASS command, generally are not the best methods for grouping data and therefore will not be discussed here. The syntax for manually specifying intervals with the ARCPLOT command CLASS is:
''CLASS MANUAL'' <#classes> <break...break>
; <#classes>
: the number of classes that will be generated
; <break...break>
: the numeric class breaks. There must be <#classes> - 1 values.
''CLASS NONE'' turns off the classification scheme.
Until the CLASS NONE command is given the classification remains in effect, and will cause all subsequent uses of ARCLINES, LABELMARKERS, POINTMARKERS, and POLYGONSHADES to be classified.
Another method of classifying data is to use lookup tables. These are INFO files that perform a similar function as the CLASS MANUAL command. A manual procedure from ARC for the creation of a lookup tables is:
# Use PULLITEM to extract the attribute table item that holds the data values.
# Use ADDITEM to add a numeric field called SYMBOL.
# Enter INFO, SELECT the table and PURGE the old data.
# ADD records to the lookup table.
##Specify the breakpoint value for numeric data, or the alphanumeric for text data.
##Specify the symbol number.
#SORT on the data field (not the SYMBOL field).
It is possible to automate the creation and specification of lookup tables within ARCPLOT. <$button popup="$:/REF">NAME</$button><$reveal type="popup" state="$:/REF"><div class="tc-drop-down">{{ref_data##REF}}</div></$reveal>[[SETMAN.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/setman.aml]] allows the manual update of symbol values within a lookup table, as well as creation a new table. The AML handles both nominal and numeric data. The syntax is:
''SETMAN'' <lookup_table>
; <lookup_table>
: will be created if it does not exist, existing tables will be selected for update.
!! Natural Breakpoints
Because the Jenks' Optimal classification scheme is generally considered to provide the best classification of numeric data (<$button popup="$:/maceachren_1">~MacEachren 1992</$button><$reveal type="popup" state="$:/maceachren_1"><div class="tc-drop-down">{{ref_data##maceachren_1}}</div></$reveal>), it should be included in ARC/INFO (and with any mapping program). Unfortunately it is not, but ARC/INFO's does provide a macro language, commands to export data, and a method for calling system programs. These can be combined to allow the automated generation of the breakpoints for Jenks' optimal classification. The AML, [[JENKS.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/jenks.aml]], exports the data to be classified, calls the C program, jenks (which must be in the executable search path), that calculates the breakpoints, and constructs a lookup table. The cartographer must still specify symbol matches though. Please note that the routine generates a lookup table that contains more information than is required for ARCPLOT's use (although ARCPLOT can still use it); this additional information is included for use by the AML's presented in later chapters. The additional information is: an initial line that is one smaller than the smallest data value (this is included only in non-nominal lookup tables, including the output from Jenk's); a column that contains the number of values in the associated coverage in the first record, and the number of values in each category in the following records; and a column that contains the coverage name in the first record, an 'n' (for nominal data), an 'o' (for ordinal data) or an 'r' (for interval/ratio data), the coverage type in the third record (point, arc, etc), and for route and section lookup tables, the route name in the forth record. This additional information allows these AMLs to select the coverage it is based on and, for legends, provide category totals and appropriate symbolization.
The C program jenks.c can be compiled on a workstation with an ANSI C compiler (including Data General's DG/UX 5.4) by using the command line:
cc -ansi -o jenks [[jenks.c|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/src/jenks.c]] -lm
The command syntax for using [[JENKS.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/jenks.aml]] is:
''JENKS'' <cover> <feature_class> <data_item> <out_lookup> <classes>
; <cover>
: the coverage that the lookup table will be created for
; <feature_class>
: the feature type (point, line, poly, etc) of <cover>
; <data_item>
: an interval or ratio level data field in the attribute table of <cover>
; <out_lookup>
: the name of the lookup table to be generated
; <classes>
: the number of data classes in the output lookup table.
!! Eyton's Equiprobability Ellipse Bivariate Classification
The uniqueness of Eyton's ellipse as a bivariate mapping scheme requires that a column be added to the attribute table of the data to be mapped. As with the calculation of Jenks' optimal classifications this is best done with a combination of macro and C program. [[EYTON.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/eyton.aml]] requires two ratio data items--the classification system is based on the parametric statistic, Pearson's r. It also requires that the system program, eyton, be in the executable search path. Like jenks.c, the eyton.c program can be compiled on a workstation with an ANSI C compiler by using the command line:
cc -ansi -o eyton [[eyton.c|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/src/eyton.c]] -lm
The command line syntax for using [[EYTON.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/eyton.aml]] is:
''EYTON'' <cover> <feature_class> <data_item_1> <data_item_2> <out_lookup> {classes} {chi_square_value}
; <cover>
: the coverage that the lookup table will be created for
; <feature_class>
: the feature type (point, line, poly, etc.) of <cover>
; <data_item_1> <data_item_2>
: interval or ratio data fields in the attribute table of <cover>
; <out_lookup>
: the output lookup table
; {classes}
: the number of classes on each axis, valid codes are 2 (default) or 3
; {chi_square_value}
: a value for the selecting the number of points in the central ellipse, defaults to 1.386, which is 50% of the observations.
!! Symbol Value Update
The lookup tables generated by these commands may require the modification of the symbol numbers. There are several ways this can be accomplished: use of '&SYS ARC INFO' to enter INFO from ARCPLOT; manually declaring a cursor and using it to update the lookup table; using the AML given above for manually changing values; or use of the AML, [[SETAUTO.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/setauto.aml]]. This AML updates a lookup table by replacing the SYMBOL values with an ordered set of numbers. It requires a starting value, a step value, and can optionally be given two other values. Nonlinear progressions can be specified by including a 'scale' value, and decreasing numbers can be obtained by specifying a 'subtraction_value.' These non-linear progressions should be used when a SYMBOL value is used for specifying something other than a predefined symbol, such as symbol value. In this case value should range from black to very light grey with a greater change in the black/dark-gray values (value differences are easier to discriminate for lighter values). For five classes, the use of 0 50 0.8 and, if necessary, 69 as the subtraction value, will set up an appropriate value progression.
''SETAUTO'' <lookup_table> <start_value> <step_value> {scale} {subtraction_value}
; <lookup_table>
: the lookup table to be updated
; <start_value>
: the beginning value of the progression
; <step_value>
: the value used to change the beginning value
;{scale}
: an exponent that is applied to <step_value>--defaults to 1
;{subtraction_value}
: value that a symbol value will be subtracted from in order to generate decreasing progressions
!! Unclassed Maps
Unclassified maps (those that are continuously symbolized) can be created in ARC/INFO, but the symbolization schemes available can be limiting and the potential improvement in the ability to depict data (as suggested by <$button popup="$:/monmonier_2">Monmonier, 1976</$button><$reveal type="popup" state="$:/monmonier_2"><div class="tc-drop-down">{{ref_data##monmonier_2}}</div></$reveal>) may not justify the effort for presentation of data. For exploration and analysis however, unclassified maps are an approach that may be worthwhile, although software/hardware limitations can impinge on truly unclassified displays. Eight bit plane graphic displays can only display 256 colors at once, thereby preventing unclassed display of data sets with more than 256 values. This can be partially circumvented by using the Jenks' optimal classification system to create a lookup table with 256 classes. For data sets with less than 256 data values or for systems with 'true color' (24 bit plane) displays, use the manual lookup table definition AML ([[SETMAN.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/setman.aml]]) to define a nominal lookup table. A limitation of 'true color' displays is that 24 bit graphics systems can only generate 256 shades of gray. So, in general, for 'unclassed' maps, create a lookup table with 256 categories (or fewer if there are not 256 data values); once a lookup table is created, symbol values must be assign on the basis of the lookup table's item value. [[SETUNCL.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/setuncl.aml]] accomplishes this. The command syntax is:
''SETUNCL'' <lookup_table> {scale_factor} {subtraction_value}
; <lookup_table>
: the table with symbol values to be updated
; {scale_factor}
: an exponent for generating non-linear scaling, defaults to 1
; {subtraction_value}
: allows creation of descending scales.
Once the information to be displayed is classified, the data must be displayed. This is the process of page layout, which can be broken into: layout within parts and layout within the whole. Layout within parts of a display involves the selected use of visual variables to highlight a part or parts of a data set or display. This is the establishment of graphic hierarchies and involves two techniques: visual isolation, and visual levels (<$button popup="$:/maceachren_1">~MacEachren 1992, 27</$button><$reveal type="popup" state="$:/maceachren_1"><div class="tc-drop-down">{{ref_data##maceachren_1}}</div></$reveal>) (see Figures [[1.1|1.1 The Principles of Data]] and [[1.7|1.4 The Means of Visual Communication]]).
<div style="float: left; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig28.gif]]|
|''Figure 2.8'' Visual isolation. The letters in each word 'go together,' as do the lines and their labels, but not the lines and the display title.|c
@@
</div>
Visual isolation is the use of visual variables to give the appearance of the separateness of part of a display. The visual variables that can accomplish this include location, size, focus, value, hue, saturation, texture and orientation. Location is the most obvious control--display items that are not close together will not generally be associated (see Figure 2.8). Size can influence isolation because any feature that is drawn smaller than the area allocated to it, will appear separate from the surroundings (this is done in cartograms). Focus influences isolation because unfocused, fuzzy symbols blend into the surrounding, reducing isolation. Value, hue, saturation, texture and orientation influence isolation by enabling one item to be displayed in a manner that is noticeably different than its surroundings (dark blue surround by yellow, for example) and thus isolating it.
<div style="float: right; margin: 0px 5px">
@@border-style: none;
@@margin: 0px;
|[img[fig29.gif]]|
|''Figure 2.9'' Visual levels. Darker value usually is a foreground (at a higher level) than lighter values, particularly on white backgrounds.|c
@@
</div>
Like visual isolation, visual levels are used to separate an item from its surroundings, but whereas visual isolation seeks to accomplish that in the x-y space of the page, visual levels give the appearance of separation in the third dimension. The visual variable that control visual levels are: size, value, saturation, texture, focus and hue. These visual variables all play a part in depth perception. Size controls visual levels because things that appear larger, appear to be closer. Value controls visual levels by control of contrast from the display background--objects with high contrast will appear above the background (see Figure 2.9). Saturation controls contrast because intense colors appear to be closer than less-intense colors. Texture influences visual levels because coarse textures appear to be closer to the observer. Focus influences visual levels because sharply focused objects appear to be closer than fuzzy objects. Hue influences visual levels because, at a constant value and saturation, yellow is more noticeable than other colors, but the influence of hue can be hard to predict and control.
In designing a page, the layout within the whole page involves the use of space (and for animation, time) to present different parts of a message. The type of display has an influence on what can, and should, be said on an image. Paper displays can be of any size, but two are of more importance: 8.5 by 11 inch paper, and full size electrostatic plotters. 8.5 by 11 inch paper is probably the most common format for graphic publication. Its small size restricts the amount of information than can be shown on one page, but generally high resolution and the ability of the reader to study the graphic at length permit a great deal of information communication. The portrait orientation, which is normally used with text, limits the left-right extent of a display, so graphics that have a large left-right extent should be displayed as landscape, when the graphic cannot be redesigned to take advantage of the more common reading orientation. Generally the primary part of the display should be shown with a maximum left-right extent. Titles can then be placed above, and additional information such as legends and locator diagrams can be placed below the primary part of the display.
Large size paper products, such as posters, can be created with less emphasis on the orientation of the page, and more emphasis on the size and shape of the area of interest. Orientation of the page should follow the larger axis of the data set. Additional information should then be placed around the main part of the graphic, in order to take advantage of 'dead space.'
<div style="float: left; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig210.gif]]|
|''Figure 2.10'' The apparent size of 16 point text from 8 feet away (top) is the same as 6 point lettering from 1.5 feet (bottom) (<$button popup="$:/">~MacEachren 1992, 71</$button><$reveal type="popup" state="$:/maceachren_1"><div class="tc-drop-down">{{ref_data##maceachren_1}}</div></$reveal>).|c
@@
</div>
Slides and overheads limit the amount of data that can be displayed because of the distance that they force on the viewer (see Figure 2.10). The farther a viewer is from the display, the smaller the display will appear, limiting the visibility of detail. This implies that the page layout decisions for slides and overheads require greater generalization in both space and data. Only the most important information needed to support a point should be included on the display. As such, additional information such as legends and locator diagrams should not be included. This allows the maximization of the available space for data display, and like posters, the orientation of the display should be aligned with the larger axis of the data area. This loss of data on the graphic is offset by the explanations of the presentor of the slide, overhead or video.
Video involves both high resolution computer monitors, and lower resolution National Television Standards Committee displays. Video displays must, like slides, take into account the distance from the viewer, as well as lower resolutions and display flicker. Minimize the amount of ancillary information, in order to maximize the amount of space available for the primary data. Like slides, this loss of visual information must be offset by audio explanations.
<br style="clear: both" />
!! Titles and Type
The text that is used to label a map or graphic should be selected carefully. This involves the determination of what should be labeled, how it should be labeled, where the labeling should be placed, and what type of lettering to use. Which items must be labeled should be identified during the planning phases of the map design, particularly in identification of the communication goal--label those things that are necessary to accomplish the goal. Additional labeling may be necessary for location reference, etc., but this ancillary labeling should be kept to a minimum in order to emphasize the new information.
As with the amount of features that get labelled, the amount of text in each label should be kept to a minimum. Often leading 'a,' 'an' and 'the's can be dropped from labels. Phrases such as 'the city of,' 'plot of' or 'Legend' can also be dropped without loss of information and result in an improvement in communication by getting rid of the clutter.
Labels should be placed on or near the object they label. Locations for titles can include prominent positions such as top center, but may also include making use of otherwise empty space (such as using the Gulf of Mexico's space in a map of Florida). Labels of point features should, when possible, be put at the upper left of the feature. Labels of linear features should be placed on straight sections of the feature, or if necessary fit along a smooth curve, and be oriented for maximum readability (top up, whenever possible). Area features should be labeled inside their boundaries, when possible. Although it is not entirely unavoidable, text should not be broken up by linear features or area boundaries; it may be preferable to have a break in the line, although this can be difficult to accomplish in ARC/INFO.
There are two general classes of fonts that are used for cartographic displays, roman and sans-serif, both of which can be italicized, underlined, etc. Roman fonts, such as the font used for this text, have 'serifs'--the small extension at the end of the strokes that make up the character. These fonts usually are more legible than fonts without (sans) serifs, particularly for small text. Sans-serif fonts are simpler, but are generally best used only for titles and other large text. For either type of font that may be used to label a body of water, it is cartographic tradition to use an italic font. This may conotate a sense of flowing.
The size of text influences legibility, particularly when the speed of a presentation is controlled by the presenter, rather than the reader. For paper displays that the reader will be able to study at length, text as small as 5 points (0.07 inches) can be used. Differences in text sizes should be at least 35% (0.07\5 pt, 0.095\7 pt, 0.13\9 pt, etc.) (<$button popup="$:/keats_1">Keats, 1982</$button><$reveal type="popup" state="$:/keats_1"><div class="tc-drop-down">{{ref_data##keats_1}}</div></$reveal>). For paper displays which are not available in depth study (such as flip charts and posters) the following suggestion for slides and overhead are more appropriate, although detail information could be included in posters.
For slides and overheads, not only must there be less text, but the text should be larger (see Figure 2.10). As a general rule text should be at least 18 point with larger differences than paper (50%) (<$button popup="$:/maceachren_1">~MacEachren 1992, 71</$button><$reveal type="popup" state="$:/maceachren_1"><div class="tc-drop-down">{{ref_data##maceachren_1}}</div></$reveal>). Video displays also need to make use of large points sizes, because of lower resolution and with some systems, flicker.
!! Insets and Legends
There are two main types of insets: locator diagrams and additional graphics. Locator diagrams show the location of a smaller area, in relation to a larger and presumably more well known area (see Figure 2.11). When multiple graphics are generated for the same region, only one locator diagram should be needed, and it may be advisable simply to make the locator diagram a separate graphic. For displays which need integrated location diagrams, they should be visually isolated--the diagram should be secondary to the main display. Therefore avoid bright colors, if not colors entirely, but ensure the area of the main display is readily discernible.
<div style="float: left; margin: 0px 5px;">
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|[img[fig211.gif]]|
|''Figure 2.11'' A simple locator diagram.|c
@@
</div>
Other graphics include legends, north arrows, scales and, for bi- or multivariate displays, monovariate maps. Legends must convey the information necessary to extract information from the main display. North arrows assist in orientation when north is not at the top, which it does not have to be. For maps to be presented to an international audience, include a north arrow, because south may be expected at the top (as is the Chinese custom). For maps where a large and hopefully well-known area is displayed (the United States or a subset of them, for example), a north arrow is not needed. Map scales, like north arrows, are not necessary for maps of well known areas and generally are not needed, unless the map may be used for measurement of extent. As suggested by <$button popup="$:/olson_1">Olson (1980)</$button><$reveal type="popup" state="$:/olson_1"><div class="tc-drop-down">{{ref_data##olson_1}}</div></$reveal>, monovariate maps may be helpful in assisting readers who are not familiar with bi- or multivariate maps. These single variable maps should be designed to be both isolated and at a lower level in the visual hierarchy than the main display. Monochrome displays may be the most appropriate technique for all but nominal data.
Because of the requirements of different media, the amount of information that should be carried in a legend varies, as does the need for a legend. Because of the generalization that goes into slides and video displays, the need for legends should be minimal, particularly when the presenter is available to answer questions. A slide for a legend may be a waste, because it cannot be referred back to, and handing out a legend before a presentation may only serve to focus attention on the legend, not on the data that is being presented.
Paper displays, particularly those where the author is not available to answer questions, require the most thoughtful use of additional graphics. Explanations of data must be written out on the graphic. For bi- and multivariate displays, the mapping technique should be explained, and monovariate maps should be included. Legends should present the character of the data (data level, continuous or discontinuous, classification system used). This can, in part, be accomplished by defining discreet variable symbols separately with a label on each symbol, and by defining continuous variables as a continuum with breakpoints, rather than midpoints, labeled (see the legends in Figures [[5.1b|5.1 Monovariate Choropleth Symbolization]] and [[5.2b|5.1 Monovariate Choropleth Symbolization]], for example).
An approach to legend design that may be most helpful to inexperienced map readers is natural legends (see Figures [[6.2b|6.2 Monochrome Bivariate Graduated Symbolization]] and [[9.1d|9.1 Monovariate Isopleth Symbolization]]). Natural legend design is particularly helpful with abstract symbolization, such as isolines, which can be difficult to interpret by a novice (especially when only given a contour interval). By providing a legend that shows isolines on a surface and spot values, the concept of a continuous surface and how data values are shown can be communicated. Isoline data, particularly when several data items are shown together, can be displayed as a single-variable, fishnet inset; this will convey the concept of a continuous surface and allow analysis of individual data sets, in addition to the presentation of the interplay of multiple data sets in the main display.
There are two lines that should be added to the $HOME/app-defaults/Mwm file. These lines allow ARC to automatically place popup windows:
```
*clientAutoPlace: FALSE
*interactivePlacement: FALSE
```
There are a few general tools available in ARCPLOT that may assist in the design or production of maps and graphics. When using 'DISPLAY 9999,' ARCPLOT defaults to a black background; this is a problem with the 'true color' display of value--black objects will be visible on paper, but invisible on the display, and vice-versa for white. The remedy for this is to include the following line in either a .cshrc or .login file:
```
setenv CANVASCOLOR WHITE
```
When using nineteen inch monitors, it is possible to specify a display canvas size that has (as far as ARC is concerned) the same dimensions as an 8.5 by 11 sheet of paper. The dimension for portrait layout are 691 by 930. The dimensions for landscape layout are 896 by 727.
All AMLs can be executed in two ways: specifying an AML path and running with the &RUN directive; or by placing the AMLs in an atool directory and running them as a standard command. The $ARCHOME/atool directory can be used, or the AMLs can be placed in another directory and linked into $ARCHOME/atool subdirectories. The AMLs can also be placed in any other directory, with subdirectories for each module (arc and arcplot), and use the &ATOOL directive to specify the directory path (see the &ATOOL page in the AML User's Guide).
The AMLs discussed in this document, for the most part, follow a naming convention. For the first character:
;P
: point or node displays.
;L
: line, route or section displays.
;C
: choropleth area displays.
;G
: graduated symbol area displays.
;D
: dot density area displays.
;R
: raster (grid) area displays.
;S
: surface displays.
For each additional character (one for each variable displayed):
;H
: hue.
;V
: value.
;I
: intensity.
;O
: orientation
;S
: shape.
;T
: texture.
;Z
: size.
;B
: box (used with points only).
;C
: circle (used with points and graduated symbols only).
;G
: cartoGram (used with graduated symbols only).
;D
: density (used with dot density only--all are DD).
;F
: fishnet (used with surfaces only).
;AO
: angle (for single variable displays only: cao, pao)
;ISO
: isoline (used with surfaces only).
Other codes include:
;P
: pie (graduated circles with subdivisions).
;L
: legend (gcl, ggl, gpl, sfl; al - single variable; ol - orientation)
;BL
: bivariate legend.
;CC
: complementary colors.
;DH
: dual hue colors.
;EE
: equiprobability ellipse (and eel - legends).
;IL
: choropleth area intersecting lines with PAT data (and cill - legends).
;TL
: choropleth area intersecting lines with lookup tables.
;RGB
: red, green and blue (and rgbl - legends).
For point symbolization, the visual variables of hue, orientation and shape can be changed by the use of an INFO lookup table that relates nominal distinctions to different symbols; the visual variables of size and value can be used to symbolize ordinal and interval/ratio data either with a lookup table or with data from the file attribute table. For lookup tables use, one of the methods discussed in Chapter Two should be used to generate a lookup table. The AMLs discussed in this chapter generally require some of the additional information that the lookup table generating AMLs in Chapter Two provide. * [[3.1 Monovariate Point Symbolization]] * [[3.2 Monochrome Bivariate Point Symbolization]] * [[3.3 Color Bivariate Point Symbolization]] * [[3.4 Multivariate Point Symbolization]]
The macros in this chapter demonstrate the use of AML to accomplish map design. The AMLs become progressively more complex in order to set the stage for bi- and multivariate mapping, which, for all intensive purposes, must be done with AMLs (most of which also require thif]]e use of cursors).
Each of the examples makes use of the markers that are provided with ARC/INFO: a default set of markers in the markerset file, PLOTTER.MRK; and several other available markersets: BW.MRK, COLOR.MRK, MINERAL.MRK, MUNICIPAL.MRK, OILGAS.MRK, USGS.MRK, and WATER.MRK. Most of these are displayed in the Map Display and Query guide's Appendix B, and the ability to create new symbols sets is discussed in Chapter Three of Map Display and Query.
!! Nominal Data--Hue
<div style="float: right; margin: 0px 5px;">
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|[img[fig31a.gif]]|
|''Figure 3.1a'' PH.aml Nominal data displayed with hue using the color.mrk markerset.|c
@@
</div>
Hue is best used for nominal data, and the COLOR.MRK markerset provides fifteen symbols of the same shape, but each with a different color. All of the other markersets, except BW.MRK, have the same symbol in black, red, green and blue. An appropriate markerset can be selected with the MARKERSET command, and used with a lookup table that relates changes in data values to changes in hue. POINTMARKERS can then be used in conjunction with the lookup table to plot the points. This is the method used in [[PH.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ph.aml]]; see Figure 3.1a.
''PH'' <cover> <data_item> <lookup_table> <markerset>
; <cover>
: the coverage to be displayed
; <data_item>
: an item in the point attribute table of <cover>
; <lookup_table>
: an info table that relates <data_item> values to markers
; <markerset>
: a markerset file.
<br style="clear: both" />
!! Nominal Data--Orientation
<div style="float: right; margin: 0px 5px;">
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|[img[fig31b.gif]]|
|''Figure 3.1b'' PH.aml Nominal data displayed with orientation using mineral.mrk.|c
@@
</div>
Orientation is best used for nominal data, and the MINERAL.MRK markerset provides some ready-to-use symbols that vary in orientation (such as markers 143 through 149). PH.aml (above) uses command line arguments to select this markerset and draw these symbols; see Figure 3.1b.
<br style="clear: both" />
!! Nominal Data--Shape
<div style="float: right; margin: 0px 5px;">
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|[img[fig31c.gif]]|
|''Figure 3.1c'' PS.aml Nominal data displayed with shape.|c
@@
</div>
Shape should only be used for nominal data. All of the markersets, except COLOR.MRK, have symbols that change in shape. The macro [[PS.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ps.aml]] uses cursors to extract the coverage name and type (point or node) from the lookup table (which must be in the format generated by the lookup table AMLs discussed in Chapter Two), and then draws the points with the lookup table; see Figure 3.1c.
''PS'' <lookup_table> {markerset}
; <lookup_table>
: a lookup table generated by SETMAN
; {markerset}
: a markerset file--the current markerset is the default.
<br style="clear: both" />
!! Ordinal to Ratio Data--Orientation
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig31d.gif]]|
|''Figure 3.1d'' PAO.aml Ratio data displayed with symbol orientation.|c
@@
</div>
Orientation is best used for nominal data, but ARC/INFO allows the specification of orientation that can be used with higher data levels. For point symbols, the MARKERANGLE command allows specification of the drawing angle of the current symbol. The macro, [[PAO.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/pao.aml]], uses cursors to determine the minimum and maximum data values to be displayed, and then uses these values to adjust the drawing angle of the selected marker; see Figure 3.1d.
''PAO'' <cover> <orientation_item> {markerset} {markersymbol} {markersize} {max_angle} {point|node}
; <cover>
: the coverage to be displayed
; <orientation_item>
: a numeric data field in the attribute table of <cover>
; {markerset} {markersymbol}
: specify a marker--the current marker is the default
; {markersize}
: drawing size of the marker--the default is 0.15 inches
; {max_angle}
: angle of the maximum data value--the default is 179 degrees
; {point|node}
: symbolize point (the default) or node feature.
<br style="clear: both" />
!! Ordinal to Ratio Data--Value
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig32a.gif]]|
|''Figure 3.2a'' PV.aml Classed ratio (ordinal) data displayed with color value.|c
@@
</div>
Color value is best used for ordinal data. For point symbols, the MARKERCOLOR command allows specification of the drawing color of the current symbol. ARC/INFO has a Munsell-like color specification: the HLS color model; the parameters for the HLS model are <hue> <lightness> <saturation>. Hue is an integer from 0 to 360 (red = 0, green = 120, blue = 240). Lightness is an integer from 0 to 100 (black = 0, white = 100). Saturation is an integer from 0 to 100 (gray = 0, fully saturated = 100). Specification of changes in value are accomplished by: setting hue to any valid number; adjusting lightness to control the grayness (for output on white paper, generally use a percentage less than 90); saturation must be set to 0. The macro, [[PV.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/pv.aml]], uses MARKERCOLOR to control value; see Figure 3.2a.
''PV'' <value_lookup> {markerset} {markersymbol} {markersize} {hue} {intensity}
; <value_lookup>
: a lookup table generated by SETMAN or JENKS
; {markerset} {markersymbol}
: specify a marker--the current marker is the default
; {hue} {intensity}
: specify a color that will be value shaded
<br style="clear: both" />
!! Ordinal to Ratio Data--Size
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig32b.gif]]|
|''Figure 3.2b'' PZ.aml Ratio data displayed with symbol size.|c
@@
</div>
Size can be used in point symbols for ordinal and interval/ratio data, and within ARC/INFO changes in size can be achieved in two ways: for circles and boxes, ARC/INFO provides the SPOTSIZE/POINTSPOT command pair to generate circle or box point symbols; for other symbol shapes, size is changed by changing the drawing size of point symbols. The MARKERSIZE command allows the specification of the size of the current point symbol. This macro, [[PZ.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/pz.aml]], uses markersize to display a ratio data set; see Figure 3.2b.
''PZ'' <cover> <size_item> {size_exponent} {size_factor} {minimum_size} {markerset} {markersymbol} {point|node}
; <cover>
: the coverage to be displayed
; <size_item>
: a numeric data field in the attribute table of <cover>
; {size_exponent} {size_factor} {minimum_size}
: define the scaling of sizes
: defaults: size_exponent = 1; size_factor = 0.15; minimum_size = 0.02 inches
All of the size symbolization AMLs use the formula:
```
size = size_factor (normalized_data_value size_exponent) + minimum_size
```
This is just a formula for a line in x (normalized_data) and y (symbol size) space (with size_exponent set to one), with the ability to create non-linear progressions (with size_exponent not equal to one). The slope of the line is determined by size_factor, and the y-intercept of the line is minimum_size. The data is normalized prior to calculating the size in order to set the minimum data value to minimum_size; data values are normalized by:
```
normalized_data_value = (actual - minimum) / (maximum - minimum)
```
<br style="clear: both" />
!! Ordinal to Ratio Data--Graduated Circle Size
<div style="float: right; margin: 0px 5px;">
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig32c.gif]]|
|''Figure 3.2c'' PC.aml Ratio data displayed with graduated circles.|c
@@
</div>
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig32d.gif]]|
|''Figure 3.2d'' PC.aml Ratio data displayed with graduated squares.|c
@@
</div>
</div>
Symbol size is good for either ordinal or interval/ratio data. For the generation of graduated circle (or box) symbols, ARC/INFO provides two commands that allow rapid generation of these maps: SPOTSIZE and POINTSPOT. SPOTSIZE must be given before POINTSPOT can be used. SPOTSIZE allows the creation of point symbols that can be linearly or exponentially scaled; of the two, exponential scaling is generally preferred, although the command line syntax is more complicated. Once SPOTSIZE has been given, POINTSPOT can be used to create graduated symbol maps, with either circle or box symbols. These two macros generate circle ([[PC.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/pc.aml]]) and box ([[PB.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/pb.aml]]) symbols (see Figures 3.2c and d).
''PC'' <cover> <size_item> {minimum_size} {maximum_size} {point|node}
''PB'' <cover> <size_item> {minimum_size} {maximum_size} {point|node}
; <cover>
: the coverage to be displayed
; <size_item>
: an interval or ratio data field in the attribute table of <cover>
; {minimum_size}
: size of the smallest symbol--defaults to 0.05 inches
; {maximum_size}
: size of the largest symbol--defaults to 0.5 inches
; {point|node}
: the type of <cover> to be displayed--defaults to point.
<br style="clear: both" />
The macros in this chapter demonstrate the use of AML to accomplish map design. The AMLs become progressively more complex in order to set the stage for bi- and multivariate mapping, which, for all intensive purposes, must be done with AMLs (most of which also require the use of cursors).
Each of the examples makes use of the markers that are provided with ARC/INFO: a default set of markers in the markerset file, PLOTTER.MRK; and several other available markersets: BW.MRK, COLOR.MRK, MINERAL.MRK, MUNICIPAL.MRK, OILGAS.MRK, USGS.MRK, and WATER.MRK. Most of these are displayed in the Map Display and Query guide's Appendix B, and the ability to create new symbols sets is discussed in Chapter Three of Map Display and Query.
!! Nominal Data--Hue
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig31a.gif]]|
|''Figure 3.1a'' PH.aml Nominal data displayed with hue using the color.mrk markerset.|c
@@
</div>
Hue is best used for nominal data, and the COLOR.MRK markerset provides fifteen symbols of the same shape, but each with a different color. All of the other markersets, except BW.MRK, have the same symbol in black, red, green and blue. An appropriate markerset can be selected with the MARKERSET command, and used with a lookup table that relates changes in data values to changes in hue. POINTMARKERS can then be used in conjunction with the lookup table to plot the points. This is the method used in [[PH.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ph.aml]]; see Figure 3.1a.
''PH'' <cover> <data_item> <lookup_table> <markerset>
; <cover>
: the coverage to be displayed
; <data_item>
: an item in the point attribute table of <cover>
; <lookup_table>
: an info table that relates <data_item> values to markers
; <markerset>
: a markerset file.
<br style="clear: both" />
!! Nominal Data--Orientation
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig31b.gif]]|
|''Figure 3.1b'' PH.aml Nominal data displayed with orientation using mineral.mrk.|c
@@
</div>
Orientation is best used for nominal data, and the MINERAL.MRK markerset provides some ready-to-use symbols that vary in orientation (such as markers 143 through 149). PH.aml (above) uses command line arguments to select this markerset and draw these symbols; see Figure 3.1b.
<br style="clear: both" />
!! Nominal Data--Shape
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig31c.gif]]|
|''Figure 3.1c'' PS.aml Nominal data displayed with shape.|c
@@
</div>
Shape should only be used for nominal data. All of the markersets, except COLOR.MRK, have symbols that change in shape. The macro [[PS.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ps.aml]] uses cursors to extract the coverage name and type (point or node) from the lookup table (which must be in the format generated by the lookup table AMLs discussed in Chapter Two), and then draws the points with the lookup table; see Figure 3.1c.
''PS'' <lookup_table> {markerset}
; <lookup_table>
: a lookup table generated by SETMAN
; {markerset}
: a markerset file--the current markerset is the default.
<br style="clear: both" />
!! Ordinal to Ratio Data--Orientation
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig31d.gif]]|
|''Figure 3.1d'' PAO.aml Ratio data displayed with symbol orientation.|c
@@
</div>
Orientation is best used for nominal data, but ARC/INFO allows the specification of orientation that can be used with higher data levels. For point symbols, the MARKERANGLE command allows specification of the drawing angle of the current symbol. The macro, [[PAO.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/pao.aml]], uses cursors to determine the minimum and maximum data values to be displayed, and then uses these values to adjust the drawing angle of the selected marker; see Figure 3.1d.
''PAO'' <cover> <orientation_item> {markerset} {markersymbol} {markersize} {max_angle} {point|node}
; <cover>
: the coverage to be displayed
; <orientation_item>
: a numeric data field in the attribute table of <cover>
; {markerset} {markersymbol}
: specify a marker--the current marker is the default
; {markersize}
: drawing size of the marker--the default is 0.15 inches
; {max_angle}
: angle of the maximum data value--the default is 179 degrees
; {point|node}
: symbolize point (the default) or node feature.
<br style="clear: both" />
!! Ordinal to Ratio Data--Value
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig32a.gif]]|
|''Figure 3.2a'' PV.aml Classed ratio (ordinal) data displayed with color value.|c
@@
</div>
Color value is best used for ordinal data. For point symbols, the MARKERCOLOR command allows specification of the drawing color of the current symbol. ARC/INFO has a Munsell-like color specification: the HLS color model; the parameters for the HLS model are <hue> <lightness> <saturation>. Hue is an integer from 0 to 360 (red = 0, green = 120, blue = 240). Lightness is an integer from 0 to 100 (black = 0, white = 100). Saturation is an integer from 0 to 100 (gray = 0, fully saturated = 100). Specification of changes in value are accomplished by: setting hue to any valid number; adjusting lightness to control the grayness (for output on white paper, generally use a percentage less than 90); saturation must be set to 0. The macro, [[PV.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/pv.aml]], uses MARKERCOLOR to control value; see Figure 3.2a.
''PV'' <value_lookup> {markerset} {markersymbol} {markersize} {hue} {intensity}
; <value_lookup>
: a lookup table generated by SETMAN or JENKS
; {markerset} {markersymbol}
: specify a marker--the current marker is the default
; {hue} {intensity}
: specify a color that will be value shaded
<br style="clear: both" />
!! Ordinal to Ratio Data--Size
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig32b.gif]]|
|''Figure 3.2b'' PZ.aml Ratio data displayed with symbol size.|c
@@
</div>
Size can be used in point symbols for ordinal and interval/ratio data, and within ARC/INFO changes in size can be achieved in two ways: for circles and boxes, ARC/INFO provides the SPOTSIZE/POINTSPOT command pair to generate circle or box point symbols; for other symbol shapes, size is changed by changing the drawing size of point symbols. The MARKERSIZE command allows the specification of the size of the current point symbol. This macro, [[PZ.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/pz.aml]], uses markersize to display a ratio data set; see Figure 3.2b.
''PZ'' <cover> <size_item> {size_exponent} {size_factor} {minimum_size} {markerset} {markersymbol} {point|node}
; <cover>
: the coverage to be displayed
; <size_item>
: a numeric data field in the attribute table of <cover>
; {size_exponent} {size_factor} {minimum_size}
: define the scaling of sizes
: defaults: size_exponent = 1; size_factor = 0.15; minimum_size = 0.02 inches
<br style="clear: both" />
All of the size symbolization AMLs use the formula:
```
size = size_factor (normalized_data_value size_exponent) + minimum_size
```
This is just a formula for a line in x (normalized_data) and y (symbol size) space (with size_exponent set to one), with the ability to create non-linear progressions (with size_exponent not equal to one). The slope of the line is determined by size_factor, and the y-intercept of the line is minimum_size. The data is normalized prior to calculating the size in order to set the minimum data value to minimum_size; data values are normalized by:
```
normalized_data_value = (actual - minimum) / (maximum - minimum)
```
<br style="clear: both" />
!! Ordinal to Ratio Data--Graduated Circle Size
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig32c.gif]]|
|''Figure 3.2c'' PC.aml Ratio data displayed with graduated circles.|c
|[img[fig32d.gif]]|
|''Figure 3.2d'' PC.aml Ratio data displayed with graduated squares.|c
@@
</div>
Symbol size is good for either ordinal or interval/ratio data. For the generation of graduated circle (or box) symbols, ARC/INFO provides two commands that allow rapid generation of these maps: SPOTSIZE and POINTSPOT. SPOTSIZE must be given before POINTSPOT can be used. SPOTSIZE allows the creation of point symbols that can be linearly or exponentially scaled; of the two, exponential scaling is generally preferred, although the command line syntax is more complicated. Once SPOTSIZE has been given, POINTSPOT can be used to create graduated symbol maps, with either circle or box symbols. These two macros generate circle ([[PC.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/pc.aml]]) and box ([[PB.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/pb.aml]]) symbols (see Figures 3.2c and d).
''PC'' <cover> <size_item> {minimum_size} {maximum_size} {point|node}
''PB'' <cover> <size_item> {minimum_size} {maximum_size} {point|node}
; <cover>
: the coverage to be displayed
; <size_item>
: an interval or ratio data field in the attribute table of <cover>
; {minimum_size}
: size of the smallest symbol--defaults to 0.05 inches
; {maximum_size}
: size of the largest symbol--defaults to 0.5 inches
; {point|node}
: the type of <cover> to be displayed--defaults to point.
<br style="clear: both" />
For color (hue or hue/intensity) based bivariate mapping, a point symbol should be selected from the available marker sets (PLOTTER, COLOR, MINERAL, MUNICIPAL, OILGAS, TEMPLATE, USGS, or WATER); these markersets are displayed in Appendix B of the Map Display and Query guide. The color specification of that point symbol will then be changed to show variations in data and meta-data. For size and hue based maps, only a sets of hues must be chosen; symbol size and shape is calculated by ARC/INFO.
!! Two Nominal Data Sets--Shape and Hue
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig34a.gif]]|
|''Figure 3.4a'' PSH.aml Two nominal data set displayed with shape and hue.|c
@@
</div>
This macro ([[PSH.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/psh.aml]]) uses two lookup tables for symbolizing two nominal data sets. Unlike shape and orientation, neither shape or hue is, in general, the dominant visual variable. Visual hierarchies can be established by selecting intense color and similar shapes--this will make color hue the more prominent of the two nominal visual variables. See Figure 3.4a.
''PSH'' <shape_lookup> <hue_lookup> {markerset} {markersize} {value} {saturation}
; <shape_lookup>
: specifies marker symbol numbers
; <hue_lookup>
: specifies HLS hue data (values of 0 to 360)
; {markerset}
: a markerset for shapes--defaults to the current markerset
; {markersize}
: a size for the markers--defaults to 0.15 inches
; {value} {saturation}
: defaults of 50 and 100 (maximum intensity)
<br style="clear: both" />
!! Two Nominal Data Sets--Dual Hue Ranges
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig34b.gif]]|
|''Figure 3.4b'' PDH.aml Two nominal data sets displayed with dual-hue ranges. Note the lack of discernable order in color changes--this necessitates a legend (below).|c
@@
</div>
Color hue is best used for nominal data, although with well selected colors, hue can be used with ordinal data. Use of the spectral encoding bivariate mapping scheme requires careful selection of colors. For the specification of colors for dual-hue range mapping, the CMY (Cyan, Yellow, Magenta) color scheme is most useful. A color chart for this color specification system is in Appendix J of the Map Display and Query manual. For a four by four color matrix, color specifications like the following can be used:
|!Cyan|100|!Cyan|100|!Cyan|100|!Cyan|100|
|!Magenta|0|!Magenta|33|!Magenta|67|!Magenta|100|
|!Cyan|67|!Cyan|67|!Cyan|67|!Cyan|67|
|!Magenta|0|!Magenta|33|!Magenta|67|!Magenta|100|
|!Cyan|33|!Cyan|33|!Cyan|33|!Cyan|33|
|!Magenta|0|!Magenta|33|!Magenta|67|!Magenta|100|
|!Cyan|0|!Cyan|0|!Cyan|0|!Cyan|0|
|!Magenta|0|!Magenta|33|!Magenta|67|!Magenta|100|
This pattern can be generated with [[SETAUTO.aml|2.2 Classifying Data]] with the command line 0 33. Yellow should be held constant for each of the sixteen positions--generally, 100 should be good. Even with this control of changes in color, dual-hue range maps should generally be used only for nominal data--the complementary-color system tends to present ordinal data better. See Figure 3.4b and [[PDH.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/pdh.aml]].
''PDH'' <yellow-green_lookup> <yellow-red_lookup> {markerset} {markersymbol} {markersize}
; <yellow-green_lookup>
: specifies changes in cyan (values of 0 to 100)
; <yellow-red_lookup>
: specifies changes in magenta (values of 0 to 100)
; {markerset} {markersymbol}
: specify which symbol will be drawn with--defaults to current
; {markersize}
: specifies the size of the marker--defaults to 0.15 inches.
<br style="clear: both" />
!! Two Ordinal Data Sets--Complementary Colors
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig34c.gif]]|
|''Figure 3.4c'' PCC.aml Two ordinal data sets displayed with complementary colors. This technique higlights correlation better than dual hue-range maps--the central gray diagonal could indicate a linear relation.|c
@@
</div>
This AML is a variation on the previous macro. The change is in the colors used to symbolize data; complementary colors are hues that are on opposite sides of the Munsell or Tektronix color spaces and mix to form grey. This mixing allows highlighting of data that is not highly correlated, because these areas will appear in color, whereas the central axis of correlated data will appear in grey. This method allows the representation of both positive and negative correlations; negative correlations should be represented by reversing the values in one of the lookup tables--this changes the direction of the slope of the central axis. Note that white should be avoided because the entire symbol will disappear on a white sheet of paper; use a range from 5 to 100 for percent area inked. See Figure 3.4c and [[PCC.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/pcc.aml]].
''PCC'' <cyan_lookup> <red_lookup> {markerset} {markersymbol} {markersize}
; <cyan_lookup>
: specifies changes in cyan (values from 0 to 100)
; <red_lookup>
: specifies changes in red (values from 0 to 100)
; {markerset} {markersymbol}
: specify which symbol will be drawn with--defaults to current
; {markersize}
: specifies the size of the marker--defaults to 0.15 inches.
<br style="clear: both" />
!! Point Legend Creation
<div style="float: right; margin: 0px 5px;">
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig34d1.gif]]|
@@
</div>
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig34d2.gif]]
@@
</div>
</div>
Although the usage of this AML ([[PBL.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/pbl.aml]]) is lengthy, it allows one macro to generate a bivariate legend for three different types of point symbolization schemes: dual hue, complementary colors, and hue and intensity. See Figure 3.4d for both dual-hue and complementary-color legends and Figure 3.5b for a hue and intensity legend.
''PBL'' <data1_lookup> <data2_lookup> <start_x> <start_y> <step_x> <step_y> <d|c|h>
{markerset} {markersymbol} {markersize} {textset} {font} {point} {decimal_precision}
; <data1_lookup>
: the first lookup given in one of the bivariate AMLs
; <data2_lookup>
: the second lookup given in one of the bivariate AMLs
; <start_x> <start_y>
: the lower left corner of the legend matrix, in PAGEUNITS
; <step_x> <step_y>
: the separation of symbols on the x and y axes, in PAGEUNITS
; {markerset} {markersymbol}
: specify which symbol will be drawn with--defaults to current
; {markersize}
: specifies the size of the marker--defaults to 0.15 inches
; {textset} {font} {point}
: specify a textset for legend labels--defaults to a roman, 10 point
; {decimal_precision}
: number of decimal places shown for ratio data labels--defaults to 2.
<br style="clear: both" />
!! Nominal Data, and Ordinal Data--Hue and Intensity
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig35a.gif]]|
|''Figure 3.5a'' PHI.aml A nominal data set displayed with hue and an ordinal data set used to display meta-data. Intense (bright) colors tend to be more noticeable and are used to present more certain values.|c
|[img[fig35b.gif]]|
|''Figure 3.5b'' PBL.aml A hue and intensity legend. Note the lack of a diagonal, as in the complementary color system. This makes hue and intensity better suited to display of meta-data than two correlated data sets.|c
@@
</div>
Color hue is best used for nominal data; color intensity, on the other hand, is best used for ordinal data (and generally only for meta-data, not a second data variable). This color scheme represents meta-data better than the dual-hue and complementary-color bivariate systems, because the data variable is clearly displayed in a constant hue, unlike the other color bivariate methods. See Figure 3.5a and [[PHI.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/phi.am]].
''PHI'' <hue_lookup> <intensity_lookup> {markerset} {markersymbol} {markersize}
; <hue_lookup>
: specifies changes in HLS hue (from 0 to 360)
; <intensity_lookup>
: specifies changes in HLS saturation (from 0 to 100)
; {markerset} {markersymbol}
: specify which symbol will be drawn with--defaults to current
; {markersize}
: specifies the size of the marker--defaults to 0.15 inches.
<br style="clear: both" />
!! Two Ratio Data Sets--Equiprobability Ellipse
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig35c.gif]]|
|''Figure 3.5c'' PEE.aml Two ratio data sets displayed with Eyton's equiprobability ellipse system. This should be used to highlight correlated data.|c
@@
</div>
Eyton's ellipse is a variation on the complementary color system. The colors that are used are the same, but the linear correlation between the two variables is used to determine a central category, which specifically highlights correlation. This AML requires that the [[EYTON.aml|2.2 Classifying Data]], presented in chapter two, be run first. See Figures 3.5c and on [[5.3 Color Bivariate Choropleth Symbolization]] for a legend display, and [[PEE.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/pee.aml]].
''PEE'' <ellipse_lookup> {markerset} {markersymbol} {markersize}
; <ellipse_lookup>
: a lookup table generated by EYTON.aml
; {markerset} {markersymbol}
: specify which symbol will be drawn with--defaults to current
; {markersize}
: specifies the size of the marker--defaults to 0.15 inches.
<br style="clear: both" />
!! Ratio Data, and Nominal Data--Size and Hue
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig35d.gif]]|
|''Figure 3.5d'' PCH.aml Internal/Ratio data displayed with graduated circles that are hue shaded, displaying nominal data.|c
@@
</div>
This macro is the color equivalent of the one that generated Figure 3.3d. Unlike that AML though, this should be used for one nominal data variable and one ratio data variable. See Figure 3.5d and [https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/pch.aml PCH.aml].
''PCH'' <size_item> <hue_lookup> {minimum_size} {maximum_size} {value} {intensity}
; <size_item>
: a numeric data item of the coverage reference by <hue_lookup>
; <hue_lookup>
: specifies changes in HLS hue (from 0 to 360)
; {minimum_size}
: graduated circle size for the smallest data value--default = 0.05 inches
; {maximum_size}
: graduated circle size for the largest data value--default = 0.5 inches
; {value} {intensity}
: default to 50 and 100 (maximum intensity).
<br style="clear: both" />
Multivariate point symbolization can be accomplished by several means, each of which is suited to various combinations of data levels. Because of the increased complexity involved in multivariate mapping, care must be taken to insure legends are well designed and convey the methods that should be used in interpreting map symbols.
!! Three Ordinal to Ratio Data Sets--Red, Green and Blue Symbolization
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig36a.gif]]|
|''Figure 3.6a'' PRGB.aml Three ratio data sets displayed by linearly stretching the data sets from 0 to 255 and using data set one for red, two for green and three for blue.|c
@@
</div>
The 'false color' images that are often generated with satellite derived data use red, green and blue to symbolize data values from three spectral bands. This technique is applied here to allow display of three data values. See Figures 3.6a and [[RGBL.aml|5.4 Multivariate Choropleth Symbolization]] for a legend. Note that the AML ([[PRGB.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/prgb.aml]]) performs a linear-stretch on the items in the Point Attribute Table. This AML also allows color specification as cyan, magenta, and yellow. This can be helpful because this color scheme tends to allow numbers in the low end of the data range to be distinguished more readily than the RGB scheme.
''PRGB'' <cover> <red_item> <green_item> <blue_item> {markerset} {markersymbol} {markersize} {point|node} {r|c}
; <cover>
: the coverage to be displayed
; <red_item> <green_item> <blue_item>
: numeric items in the attribute table of <cover>
; {markerset} {markersymbol}
: specify which symbol will be drawn with--defaults to current
; {markersize}
: specifies the size of the marker--defaults to 0.15 inches
; {point|node}
: symbolize point (the default) or node features
; {r|c}
: display with the RGB (default) or CMY color system.
<br style="clear: both" />
!! Nominal Data, Ratio Data and Ordinal Data--Shape, Size and Value
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig36b.gif]]|
|''Figure 3.6b'' PSZV.aml A nominal data set displayed with shape, a ratio data set displayed with size, and an ordinal data set (size meta-data) displayed with color value.|c
@@
</div>
Shape can be used to display nominal data, and size can be used to display ratio data. This AML ([[PSZV.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/pszv.aml]]) adds to this bivariate representation by allowing color value to be used to display an ordinal data set. Color value can be used to display uncertainty on monochrome output devices, such as laser printers. The calculation of symbol size is discussed on page 39; see Figure 3.6b.
'''PSZV''' <shape_lookup> <size_item> <value_lookup> {markerset} {size_exponent} {size_factor} {minimum_size} {hue} {intensity}
; <shape_lookup>
: specifies marker symbol numbers
; <size_item>
: a numeric data item in the coverage referred to by <shape_lookup>
; <value_lookup>
: specifies HLS lightness data (from 0 to 100)
; {markerset}
: a markerset for shapes--defaults to the current markerset
; {size_exponent} {size_factor} {minimum_size}
: define the scaling of sizes; defaults: size_exponent = 1; size_factor = 0.15; minimum_size = 0.02 inches
; {hue} {intensity}
: define a color that will be value shaded.
<br style="clear: both" />
!! Ratio Data, Nominal Data, and Ordinal Data--Size, Hue and Intensity
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig36c.gif]]|
|''Figure 3.6c'' PHIZ.aml A nominal data set displayed with color hue, ratio data displayed with size, and an ordinal data set (size meta-data) displayed with color intensity.|c
@@
</div>
Like the previous AML, size, hue and intensity should be used to display a nominal data variable, a ratio data variable, and an ordinal data variable (meta-data for the ratio data variable would be appropriate). This AML however uses color hue and intensity, and therefore requires full color displays. See Figure 3.6c and [[PHIZ.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/phiz.aml]].
''PHIZ'' <hue_lookup> <intensity_lookup> <size_item> {markerset} {markersymbol} {size_exponent} {size_factor} {minimum_size}
; <hue_lookup>
: specifies HLS hue data (from 0 to 360)
; <intensity_lookup>
: specifies HLS saturation data (from 0 to 100)
; <size_item>
: a numeric data item in the coverage referred to by the lookup tables:
; {markerset} {markersymbol}
: specify a marker--the current marker is the default
; {size_exponent} {size_factor} {minimum_size}
: define the scaling of sizes; defaults: size_exponent = 1; size_factor = 0.15; minimum_size = 0.02 inches.
<br style="clear: both" />
!! Ratio Data--Point Pie Graphs
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig36d.gif]]|
|''Figure 3.6d'' PP.aml Ratio data displayed with size; each pie slice is a nominal difference within the ratio whole--pie slice values are percentage of the whole.|c
@@
</div>
This AML generates pie symbols for point data by use of the POINTSPOT command. The type of data that should be used in the creation of this type of map is a size value that represents a sum of several other values; these other values should have nominal distinctions. POINTSPOT uses the sum value to calculate the size of the circle, and it calculates the pie slice size that will be drawn as a function of the ratio a sub-value to the whole. Colors for each slice are calculated by the AML. See Figures 3.6d and [[6.3d|6.4 Multivariate Graduated Symbolization]] for a legend, and [[PP.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/pp.aml]].
''PP'' <cover> <point|node> <size_item> <minimum_size> <maximum_size> <number_of_subitems> <item_1...item_n>
; <cover>
: the coverage to be displayed
; <point|node>
: symbolize points or nodes
; <size_item>
: a numeric item in <cover> that specifies the size of the circle
; <minimum_size> <maximum_size>
: the smallest and largest circle sizes
; <number_of_subitems>
: the number of pie slice data items--the value of n, next
; <item_1...item_n>
: names of numeric items in <cover> that specify the size of pie slices.
<br style="clear: both" />
For line symbolization, the visual variables of hue, shape, and texture can be controlled by the use of lookup tables, which relate nominal difference to symbolization. Value and size can be used either by means of lookup tables, or by referencing Arc Attribute Table values. Lookup tables should be generated with one of the lookup table AMLs presented in Chapter Two. * [[4.1 Monovariate Line Symbolization]] * [[4.2 Monochrome Bivariate Line Symbolization]] * [[4.3 Color Bivariate Line Symbolization]] * [[4.4 Multivariate Line Symbolization]]
As with point symbolization, the AMLs discussed in this chapter start out relatively simply, and the output could be accomplished almost as readily by hand. Like the monovariate point AMLs, these AMLs are primarily background for the bi- and multivariate AMLs of later sections.
ARC/INFO provides a default set of lines in the lineset file, PLOTTER.LIN; there are several other available linesets: 50.LIN, BW.LIN, CALCOMP2.LIN, CARTO.LIN, COLOR.LIN, HP.LIN, and OILGAS.LIN. These are displayed in the Map Display and Query guide's Appendix A, and the ability to create new symbols sets is discussed in chapter three of Map Display and Query.
!! Nominal Data--Hue
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig41a.gif]]|
|''Figure 4.1a'' LH.aml Nominal data in an arc coverage distiguished by hue with the color.lin lineset.|c
@@
</div>
Hue is best used for nominal data, and the COLOR.LIN lineset provides fifteen symbols of the same shape, but each with a different color. All of the other linesets, except BW.LIN, have the same symbol in black, red, green and blue. This AML ([[LH.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/lh.aml]]) uses the COLOR.LIN lineset for generating a display for arcs--see the next section for display of routes, and Figure 4.1a.
''LH'' <cover> <data_item> <lookup_table> <lineset>
; <cover>
: the arc coverage to be displayed
; <data_item>
: the data item in <cover> referenced by <lookup_table>
; <lookup_table>
: an info table that relates <data_item> to <lineset>
; <lineset>
: a lineset.
<br style="clear: both" />
!! Nominal Data--Shape or Texture
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig41b.gif]]|
|''Figure 4.1b'' LS.aml A nominal data set in a route system distinguised by shape using symbols from plotter.lin.|c
@@
</div>
Shape should be used for nominal data, and a line's shape can be changed in several ways in ARC/INFO. The linesets PLOTTER.LIN, TEMPLATE.LIN and OILGAS.LIN have symbols that change in shape. LINESET can be used to select one of these, and LINESYMBOL can be used to change the shape of the current line type, as well as change the line color and width (although the selection is limited). This allows the selecting of several different shapes; the LINETYPE command allows the generation of nine other types of shapes.
Texture is best used for nominal data, and the CARTO.LIN lineset provides many ready-to-use symbols that vary in texture (such as lines 106, 110, 114 and 118). These symbols can be selected by using LINESET to select this symbol set, and LINESYMBOL to select the individual symbols. A line's texture can also be directly varied; LINEINTERVAL and LINETEMPLATE can be used to control texture. LINEINTERVAL determines the space between successive parts of a line symbol; it defaults to 0 (no space). LINETEMPLATE requires that a lineinterval be set. The LINETEMPLATE command then allows control over both the length of the mark and the length of the space between marks. The <template> digits are used to scale the lineinterval, with the first digit used for a line length, the second for a space size, the third for a line, etc. For example, if the lineinterval is set to 0.25 inches and linetemplate is set to 2122, a line pattern of: a line 0.5 inches long, followed by a space 0.25 inches long, followed by a line 0.5 inches long, followed by a 0.5 inches long space is used to draw new lines. [[LS.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ls.aml]] uses a preset lookup table to select line symbols for routes (see Figure 4.1b).
''LS'' <cover> <route> <data_item> <lookup_table> <lineset>
; <cover>
: the route coverage to be displayed
; <data_item>
: the data item in <cover> referenced by <lookup_table>
; <lookup_table>
: an info table that relates <data_item> to <lineset>
; <lineset>
: a lineset.
<br style="clear: both" />
!! Ordinal Data--Value
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig41c.gif]]|
|''Figure 4.1c'' LV.aml Classed ratio (ordinal) data displayed with color value by using a lookup table.|c
@@
</div>
Color value is best used for ordinal data, and the application of lookup tables to a ratio data set, provides this data level. This AML ([[LV.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/lv.aml]]) requires an ordinal or ratio lookup table that specifies HLS color value (0 to 80) in its symbol column. So the AML can control line value, any LINETYPE except hardware can be used. The AML uses LINETYPE WIDE; this allows control of the width of a solid line, which should be wide enough that dithering will not cause the line to appear broken (a line width of at least 0.02 inches on a 300 dpi printer). See Figure 4.1c.
''LV'' <value_lookup> {size} {hue} {intensity}
; <value_lookup>
: a lookup table generated by SETMAN or JENKS
; {size}
: a line width--the default is 0.1 inches
; {hue} {intensity}
: specify a color that will be value shaded.
<br style="clear: both" />
!! Ratio Data--Size
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig41d.gif]]|
|''Figure 4.1d'' LZ.aml Ratio data displayed with size; sizes are calculated by scaling the data in the coverage Arc Attribute Table.|c
@@
</div>
Size can be used for ordinal data, and the PLOTTER.LIN, CARTO.LIN and OILGAS.LIN linesets provide symbols that vary in size. An appropriate lineset can be selected with the LINESET command, and used with a lookup table that relates changes in data values to changes in size. For interval/ratio level data, the LINESIZE command allows direct control of a line's width. Prior to using the LINESIZE command however, the LINETYPE command must be given with a type not equal to HARDWARE. A LINETYPE such as WIDE can be used. Once this is done, the line's width can be controlled to represent data. This AML uses the interval/ratio method to control width (see Figure 4.1d and [[LZ.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/lz.aml]]).
''LZ'' <cover> <size_item> {size_exponent} {size_factor} {minimum_size} {linetype}
; <cover>
: the arc coverage to be displayed
; <size_item>
: an interval/ratio data item in the Arc Attribute Table of <cover>
; {size_exponent} {size_factor} {minimum_size}
: define the scaling of sizes,
: defaults: size_exponent = 1; size_factor = 0.15; minimum_size = 0.02 inches
All of the size symbolization AMLs use the formula:
<br style="clear: both" />
```
size = size_factor (normalized_data_value size_exponent) + minimum_size
```
This is just a formula for a line in x (normalized_data) and y (symbol size) space (with size_exponent set to one), with the ability to create non-linear progressions (with size_exponent not equal to one). The slope of the line is determined by size_factor, and the y-intercept of the line is minimum_size. The data is normalized prior to calculating the size in order to set the minimum data value to minimum_size; data values are normalized by:
```
normalized_data_value = (actual - minimum) / (maximum - minimum)
```
<br style="clear: both" />
The visual variables of shape, texture, value and size can be combined to allow monochrome bivariate mapping of linear features. This can be used to present two data sets, or data and meta-data.
!! Two Nominal Data Sets--Shape and Texture
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig42a.gif]]|
|''Figure 4.2a'' LST.aml Two nominal data sets displayed with shape (primary data) and texture.|c
@@
</div>
This AML ([[LST.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/lst.aml]]) uses two lookup tables to determine symbolization. Because the selection of predefined shape/texture symbols is limited, LINETYPE can be combined with LINETEMPLATE. This is assisted by assigning numeric codes in the shape lookup table:
1000 = WIDE
1001 = DIAMOND
1002 = DOTS
1003 = HASH
1004 = SCALLOP
1005 = SCRUB
1006 = SLANT
1007 = ZIGZAG
These codes do not interfere with the Agfa Compugraphic glyph numbers, which this AML will use for LINETYPE MARKER. The second (texture) lookup table requires an integer value that specifies texture (see the texture discussion in Nominal Data--Shape or Texture, above). See Figure 4.2a.
''LST'' <shape_lookup> <texture_lookup> {interval} {size}
; <shape_lookup>
: specifies either Agfa Compugraphic glyphs or the above codes
; <texture_lookup>
: specifies an integer code for the LINETEMPLATE
; {interval}
: a ratio size in PAGEUNITS--the default is 0.1 inches
; {size}
: specifies a line size--the default is 0.1 inches.
<br style="clear: both" />
!! Nominal Data, and Ordinal Data--Shape and Value
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig42b.gif]]|
|''Figure 4.2b'' LSV.aml A nominal data set displayed with shape and an ordinal data set displayed with value. This is more effective with meta-data than a second data set.|c
@@
</div>
Shape should be used to specify nominal differences and value should be used to specify ordinal differences. Generally, value should be used for meta-data and size (the next AML) should be used for a second data set. This AML ([[LSV.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/lsv.aml]]) requires a lookup table that relates nominal distinctions to line symbols in a lineset, and a second lookup table that specifies HLS values. See Figure 4.2b.
''LSV'' <shape_lookup> <value_lookup> {lineset} {linesize} {hue} {intensity}
; <shape_lookup>
: specifies line symbol numbers
; <value_lookup>
: specifies HLS lightness data (from 0 to 80)
; {lineset}
: specifies a lineset for shapes--defaults to the current lineset
; {linesize}
: specifies a line width--defaults to 0.1 inches
; {hue} {intensity}
: specify a color that will be value shaded.
<br style="clear: both" />
!! Nominal Data, and Ratio Data--Shape and Size
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig42c.gif]]|
|''Figure 4.2c'' LSZ.aml A nominal data set displayed with texture and a ratio data set displayed with size. Size is more effective than value in conveying a second data set.|c
@@
</div>
The AML, [[LSZ.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/lsz.aml]], should be used for two data sets--one of nominal information (shape or texture) and one of ordinal to ratio information (size). Like the shape and value AML, this AML requires a lookup table that relates nominal categories to line symbols, but requires the specification of a ratio data item in the line coverage's attribute table. See the discussion of size specification on page 50 and Figure 4.2d.
''LSZ'' <shape_lookup> <size_item> {lineset} {scale_factor} {size_factor} {minimum_size}
; <shape_lookup>
: specifies line symbol numbers
; <size_item>
: an ratio data item in the attribute table referenced by <shape_lookup>
; {lineset}
: specifies a lineset for shapes--defaults to the current lineset
; {size_exponent} {size_factor} {minimum_size}
: define the scaling of sizes,
: defaults: size_exponent = 1; size_factor = 0.15; minimum_size = 0.02 inches.
<br style="clear: both" />
!! Ratio Data, and Ordinal Data--Size and Value
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig42d.gif]]|
|''Figure 4.2d'' LVZ.aml Ratio data displayed with size, which is value shaded on the basis of meta-data.|c
@@
</div>
This AML uses size to indicate a ratio data set, and value to represent a second data set. Because of the establishment of visual levels by both size and value, this combination is good for conveying data and meta-data. The AML requires a numeric attribute item for size, and a lookup table for HLS value specification. See Figure 4.2d and [[LVZ.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/lvz.aml]].
''LVZ'' <value_lookup> <size_item> {size_exponent} {size_factor} {minimum_size} {hue} {intensity}
; <value_lookup>
: specifies HLS lightness data (from 0 to 80)
; <size_item>
: a ratio data item in the attribute table referenced by <value_lookup>
; {size_exponent} {size_factor} {minimum_size}
: define the scaling of sizes,
: defaults: size_exponent = 1; size_factor = 0.15; minimum_size = 0.02 inches
; {hue} {intensity}
: specify a color that will be value shaded.
<br style="clear: both" />
Color hue and intensity add two important visual variables to the representational techniques possible in ARC/INFO. Hue allows better specification of nominal variables than texture (particularly in monochrome, bivariate mapping) and can also be used for ordinal data. Intensity is useful for display of uncertainty meta-data.
!! Two Nominal Data Sets--Texture or Shape, and Hue
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig43a.gif]]|
|''Figure 4.3a'' LSH.aml Two nominal data sets displayed with shape and hue.|c
@@
</div>
This AML ([[LSH.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/lsh.aml]]) takes advantage of the ability of shape to convey nominal data, and it uses color hue to specify a second nominal category. The AML requires a lookup table that specifies line symbols for the shape (or texture) variable, and a second AML that specifies HLS hue values (0 to 300). See Figure 4.3a.
''LSH'' <shape_lookup> <hue_lookup> {lineset} {linesize} {value} {intensity}
; <shape_lookup>
: specifies line symbol numbers
; <hue_lookup>
: specifies HLS hue data
; {lineset}
: select a lineset for shapes--defaults to the current lineset;
; {linesize}
: specifies a line width--defaults to 0.1 inches
; {value} {intensity}
: defaults: 50, 100 (maximum brightness).
<br style="clear: both" />
!! Two Nominal Data Sets--Dual Hue Ranges
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig43b.gif]]|
|''Figure 4.3b'' LDH.aml Two nominal data sets displayed with the dual-hue range technique. Note the lack of discrenable order in color changes--this necessitates a legend (below).]]|c
@@
</div>
Another method of displaying two nominal data sets is the dual-hue range technique. This uses two hue ranges (yellow to red and yellow to green) to specify data values. The combination of the two color ranges results in unique colors for each combination of data values. The AML requires two lookup tables, which specify color for the CMY color model (ranges of 0 to 100). See Figure 4.3b and [[LDH.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ldh.aml]].
''LDH'' <yellow-green_lookup> <yellow-red_lookup> {linesize}
; <yellow-green_lookup>
: specifies changes in cyan (from 0 to 100)
; <yellow-red_lookup>
: specifies changes in magenta (from 0 to 100)
; {linesize}
: specifies a line width--defaults to 0.1 inches.
<br style="clear: both" />
!! Two Ordinal Data Sets--Complementary Colors
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig43c.gif]]|
|''Figure 4.3c'' LCC.aml Two ordinal data sets displayed with the complementary color technique. this method highlights correlation better than dual-hue mapping.|c
@@
</div>
The use of color to specify ordinal data requires careful selection of colors. By use of color intensity in two complementary colors (equal amounts of each yield gray), it is possible to specify a color system that represents ordinal information well. This AML ([[LCC.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/lcc.aml]]) accomplishes this with two lookup tables for the CMY color system (color numbers of 10 to 100), one of which is used for cyan and the other is used for magenta and yellow, together (this yields red). A central diagonal results, which is gray. With color values based directly on data values, this gray line would represent linear correlation between the two variables. See Figure 4.3c.
''LCC'' <cyan_lookup> <red_lookup> {linesize}
; <cyan_lookup>
: specifies changes in cyan
; <red_lookup>
: specifies changes in red
; {linesize}
: specifies a line width--defaults to 0.1 inches.
<br style="clear: both" />
!! Bivariate Color Legends
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig43d1.gif]]|
|[img[fig43d2.gif]]|
|''Figure 4.3d'' LBL.aml Dual-hue (above) and complementary color legends. Note the central gray diagonal in the complementary color legend.|c
@@
</div>
Legends should present the map reader with as much information as possible. This AML not only generates a line symbol for each color bivariate scheme, but also labels the rows and columns with the appropriate name or data range and provides the total number of items in each row or column. See Figure 4.3d, Figure 4.4d and [[LBL.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/lbl.aml]].
''LBL'' <lookup_1> <lookup_2> <start_x> <start_y> <step_x> <step_y> <d|c|h> {linesize} {textset} {font} {point} {floating_point_precision}
; <lookup_1>
: the first lookup specified in LDH, LHI or LCC
; <lookup_2>
: the second lookup table from on of the display AMLs, the lower left corner of the legend
; <step_x> <step_y>
: the size of each row and column
; <d|c|h>
: the symbolization method: Dual hue, Complementary color, or Hue and intensity
; {linesize}
: specifies a line width--defaults to 0.1 inches
; {textset} {font} {point}
: define the labelling text--defaults to a 10 point roman font
; {floating_point_precision}
: the number of decimal places to be shown--the default is 2.
<br style="clear: both" />
!! Two Ratio Data Sets--Eyton's Ellipse for Lines
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig44a.gif]]|
|''Figure 4.4a'' LEE.aml Two ratio data sets displayed with an equiprobability elipse. This selects the central cluster of correlated data as a fifth category in a 2x2 matrix.|c
@@
</div>
A development of the complementary color system that specifically highlights correlation is Eyton's equiprobability ellipse. This system calculates the correlation between two ratio variables and specifies a complementary color shade to each data pair. The central category contains the central cluster of correlated data. This system requires that the AML described in chapter two be run to determine the classification. Once this is done, this AML ([[LEE.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/lee.aml]]) displays linear data. See Figure 4.4a.
''LEE'' <ellipse_lookup> {lineset} {linesymbol} {linesize}
; <ellipse_lookup>
: a lookup table for linear data created by [[EYTON.aml|2.2 Classifying Data]]
; {lineset} {linesymbol}
: define a line to use for shading--defaults to the current line
; {linesize}
: specifies a line width--defaults to 0.1 inches.
<br style="clear: both" />
!! Ratio Data, and Nominal Data--Size and Hue
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig44b.gif]]|
|''Figure 4.4b'' LHZ.aml A nominal data set displayed with hue and a ratio data set displayed with size.|c
@@
</div>
For combinations of nominal and ratio data, shape (which can be used in monochrome maps) or hue can be used to specify the nominal data and size can be used to display the ratio information. This AML uses a lookup table that relates nominal data to HLS color hue (0 to 300) and a numeric item in the coverage's attribute table. See Figure 4.4b and [[LHZ.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/lhz.aml]].
''LHZ'' <hue_lookup> <size_item> {size_exponent} {size_factor} {minimum_size} {value} {intensity}
; <hue_lookup>
: specifies HLS hues
; <size_item>
: a numeric data item in the attribute table referred to be <hue_lookup>
; {size_exponent} {size_factor} {minimum_size}
: define the scaling of sizes,
: defaults: size_exponent = 1; size_factor = 0.15; minimum_size = 0.02 inches
; {value} {intensity}
: default to 50 and 100--maximum intensity.
<br style="clear: both" />
!! Nominal Data and Ordinal Meta-Data--Hue and Intensity
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig44c.gif]]|
|''Figure 4.4c'' LHI.aml A nominal data set displayed with hue and an ordinal data set displayed with intensity. Intense colors tend to stand out in an image, and can highlight certain data.|c
|[img[fig44d.gif]]|
|''Figure 4.4d'' LBL.aml Hue and intensity legend. Note the lack of a diagonal, as in the complementary color system; this makes hue and intensity better suited to data and meta-data.|c
@@
</div>
For display of a nominal data and meta-data, color hue can be used for the nominal information and color intensity can be used for the meta-data. This AML ([[LHI.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/lhi.aml]]) requires a lookup table for relating nominal data to HLS hue (0 to 300) and a second table for relating meta-data to HLS saturation (20 to 100). See Figure 4.4c.
''LHI'' <hue_lookup> <intensity_lookup> {linesize}
; <hue_lookup>
: specifies HLS hue
; <intensity_lookup>
: specifies HLS saturation
; {linesize}
: specifies a line width--default is 0.1 inches.
<br style="clear: both" />
Multivariate line symbolization allows the representation of three or more variables about the same line segment on the same map. This is useful for the communication of spatial patterns, but--as with all bi- and multivariate maps--legends should include explanations of the data representation technique.
!! Three Ordinal to Ratio Data Sets--Red, Green and Blue Symbolization
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig45a.gif]]|
|''Figure 4.5a'' LRGB.aml Three ratio data sets displayed by linearly stretching the data sets from 0 to 255 and using data set one for red, two for green and three for blue.|c
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</div>
For representing three ratio data values, line color can be specified by control of the red, green and blue (or cyan, magenta and yellow) components of the color additive (or subtractive) process. This use of RGB color is similar to that used to display satellite imagery. As such, the AML [[LRGB.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/lrgb.aml]] requires three numeric data items, which are linearly stretched from 0 to 250 (this prevents white lines on white paper). See Figure 4.5a.
''LRGB'' <cover> <red_item> <green_item> <blue_item> {linesize} {r|c} {arc|route|section} {subclass}
; <cover>
: the coverage to be displayed
; <red_item> <green_item> <blue_item>
: three numeric data fields in <cover>
; {linesize}
: specifies a line width--default is 0.1 inches
; {r|c}
: specifies the RGB or CMY color model
; {arc|route|section} {subclass}
: specifies arcs (default) or route/section and subclass.
<br style="clear: both" />
!! Nominal Data, Ratio Data, and Nominal Data--Shape, Size and Hue
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig45b.gif]]|
|''Figure 4.5b'' LHSZ.aml A nominal data set displayed with shape, a second nominal data set displayed with color hue, and a ratio data set displayed with size.|c
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</div>
By adding a ratio variable to the bivariate representation shown in Figure 4.3a, a trivariate representation results. This allow communication of two nominal variables, and a third, ratio, variable. The AML requires two lookup tables: one that relates nominal data to line symbols; the other relating nominal data to HLS hue (0 to 300). The size information is generated directly from a numeric item in the arc (or route or section) attribute table. See Figure 4.5b, the discussion of size on page 50 and [[LHSZ.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/lhsz.aml]].
''LSHZ'' <shape_lookup> <hue_lookup> <size_item> {lineset} {size_exponent} {size_factor} {minimum_size} {value} {intensity}
; <shape_lookup>
: specifies line symbol numbers
; <hue_lookup>
: specifies HLS hues
; <size_item>
: a ratio data field in the attribute table referenced by <shape_lookup>
; {lineset}
: specifies a lineset for shapes--defaults to current lineset
; {size_exponent} {size_factor} {minimum_size}
: define the scaling of sizes, defaults: size_exponent = 1; size_factor = 0.15; minimum_size = 0.02 inches
; {value} {intensity}
: default to 50 and 100--maximum intensity.
<br style="clear: both" />
!! Nominal Data, Ratio Data, and Ordinal Data--Shape, Size and Value
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig45c.gif]]|
|''Figure 4.5c'' LSVZ.aml A nominal data set displayed with shape, a ratio data set displayed with size, and an ordinal data sest (possibly ratio meta-data) displayed with value.|c
@@
</div>
This AML is addition of the bivariate representation techniques shown in Figure 4.2b, Figure 4.2c and Figure 4.2d. This monochrome, trivariate mapping system allows representation of nominal data and ratio data, along with an ordinal data set, which can be used for representing the ratio data set's meta-data. The AML requires the two lookup tables: one for relating nominal data to line symbols; the other for relating ordinal data to HLS value (0--black to 80--almost white). The size of the line symbol is generated from a numeric data item in an attribute table. See Figure 4.5c and [[LSZV.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/lszv.aml]].
''LSZV'' <shape_lookup> <size_item> <value_lookup> {lineset} {size_exponent} {size_factor} {minimum_size} {hue} {intensity}
; <shape_lookup>
: specifies line symbol numbers
; <size_item>
: a ratio data field in the attribute table referenced by <shape_lookup>
; <value_lookup>
: specifies HLS lightness
; {lineset}
: specifies a lineset for shapes--defaults to current lineset
; {size_exponent} {size_factor} {minimum_size}
: define the scaling of sizes; defaults: size_exponent = 1; size_factor = 0.15; minimum_size = 0.02 inches
; {hue} {intensity}
: specify a color to be value shaded.
<br style="clear: both" />
!! Ratio Data, Nominal Data, and Ordinal Data--Size, Hue and Intensity
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig45d.gif]]|
|''Figure 4.5d'' LHIZ.aml A nominal data set displayed with color hue, a ratio data set displayed with size, and an ordinal data set (possible ratio meta-data) displayed with color intensity.|c
@@
</div>
As with the previous AML, this macro is displays a nominal data set (with hue instead of shape) and a ratio data set, along with an ordinal data set, which can be used for representing the ratio data's meta-data. The AML requires two lookup tables: for nominal data, a table of HLS hues (0 to 300); for ordinal data, a table of HLS saturation (20--off gray to 100--maximum intensity). The line symbol size is calculated from a numeric item in the attribute table specified in the second lookup table. See Figure 4.5d and [[LHIZ.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/lhiz.aml]].
''LHIZ'' <hue_lookup> <intensity_lookup> <size_item> {size_exponent} {size_factor} {minimum_size}
; <hue_lookup>
: specifies HLS hue
; <intensity_lookup>
: specifies HLS saturation
; <size_item>
: a ratio data field in the attribute table referenced by <hue_lookup>
; {size_exponent} {size_factor} {minimum_size}
: define the scaling of sizes; defaults: size_exponent = 1; size_factor = 0.15; minimum_size = 0.02 inches.
<br style="clear: both" />
There are several techniques available in ARC/INFO for the production of choropleth maps (for area data that is continuous, and changes abruptly at polygon borders). These techniques include hue, texture, orientation and shape for nominal data, and size for ordinal to ratio data. As with the other monovariate sections, the AML's start off simply in order to build a base for bi- and multivariate mapping. Also these techniques tend to make use of lookup tables, which should be generated prior to executing the display AML's. ARC/INFO provides a default set of area fills in the shadeset file, PLOTTER.SHD; there are several other available shadesets: CARTO.SHD, COLOR.SHD and COLORNAMES.SHD. These are displayed in the Map Display and Query guide's Appendix C, and the ability to create new symbols sets is discussed in chapter three of Map Display and Query. * [[5.1 Monovariate Choropleth Symbolization]] * [[5.2 Monochrome Bivariate Choropleth Symbolization]] * [[5.3 Color Bivariate Choropleth Symbolization]] * [[5.4 Multivariate Choropleth Symbolization]]
Monovariate symbolization techniques for area data involve the use of hue, value, orientation and shape to represent data. This can be done when only one variable needs to be shown, or as an inset for bi- or multivariate maps.
!! Nominal Data--Hue
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig51a.gif]]|
|''Figure 5.1a'' CH.aml Nominal data displayed by hue with the color.shd shadeset.|c
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</div>
Hue is best for representations of nominal data. In ARC/INFO's default shadeset, there are only three colors (red, green and blue) available--shade patterns 2, 3 and 4, and white--shade pattern 1. Rather than using the limited default colors, SHADECOLOR can be used to specify the output color. SHADECOLOR requires that the shadetype be set to a type other than the default HARDWARE, such as COLOR. When this is done, hues can be specified directly; an alternate method is to use one of ARC/INFO's color shadesets: COLOR.SHD and COLORNAMES.SHD. This AML ([[CH.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ch.aml]]) accomplishes the display of a data set with the shadeset method; see Figure 5.1a.
''CH'' <cover> <data_item> <lookup_table> <shadeset>
; <cover>
: a polygon coverage
; <data_item>
: the item in Polygon Attribute Table of <cover> referred to in <lookup_table>
; <lookup_table>
: relates data item to shades in <shadeset>
; <shadeset>
: a shadeset file.
<br style="clear: both" />
!! Monovariate Legends--Filled Polygons
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig51b.gif]]|
|''Figure 5.1b'' AL.aml A legend for figure 5.1a. This legend design gives the names associated with hues as well at the total number of regions in each class.|c
@@
</div>
In keeping with the idea of presenting as much information as possible in legends, [[AL.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/al.aml]] generates monovariate legends for area data that include the number of polygons in each category as well as defining the category symbolization. The AML automatically labels each category, as well as adjusting the display for nominal (discreet symbols) and ordinal (or better) data (continuous symbols). See Figure 5.1b for nominal data, and Figure 5.2b for ratio data.
''AL'' <lookup_table> <start_x> <start_y> <size_x> <size_y> <h|v|t|a|l> {color_parameter_1} {color_parameter_2} {line_size} {textset} {font} {point_size} {floating_point_precision}
; <lookup_table>
: the lookup table that a legend will be based on
; <start_x> <start_y>
: the lower left corner of the legend area
; <size_x> <size_y>
: the size of the legend--all locations are in PAGEUNITS
; <h|v|t|a|l>
: the symbolization method: Hue, Value, Texture, orientation (Angle), or shadeset symboLs
; {color_parameter_1} {color_paramter_2}
: Hue: value and saturation (default: 50 and 100)
: for Value: hue and saturation (default 0 and 0), no effect for other symbolization
; {linesize}
: for Texture and Angle line width--defaults to 0 (minimum displayable width)
; {textset} {font} {point_size}
: define the labelling text--defaults to a 10 point roman font
; {floating_point_precision}
: the number of decimal places to be shown--the default is 2.
<br style="clear: both" />
!! Nominal Data--Orientation
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig51c.gif]]|
|''Figure 5.1c'' CH.aml A nominal data set displayed with orientation, using symbols from plotter.shd.|c
@@
</div>
Orientation is best used for nominal data. There are three ways of achieving changes in area fill orientation: selecting a subset of a shadeset that has a pattern that changes in orientation, the POLYGONSHADES command (see Ordinal to Ratio Data--Orientation, below), and the SHADEANGLE command. The AML, [[CH,.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ch.aml]], uses the PLOTTER.SHD shadeset's symbols; see the above discussion of the AML and Figure 5.1c.
<br style="clear: both" />
!! Nominal Data--Shape
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig51d.gif]]|
|''Figure 5.1d'' CS.aml A nominal data set displayed with shape by using the Agfa Compugraphic clyphs. This symbolization is best for areas that will not have specific borders.|c
@@
</div>
Shape is best used for nominal data. The SHADETYPE command allows the specification of a marker to be used for the area fill. The macro, [[CS.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/cs.aml]], makes use of the Agfa Compugraphic font set to change area fill shape; see Figure 5.1d. Note the use of a loop to set up area fills.
''CS'' <lookup_table> <shade_size> <shade_separation>
; <lookup_table>
: contains Agfa Compugraphic glyph numbers (font 94021)
; <shade_size>
: a size for the glyph symbols in PAGEUNITS
; <shade_separation>
: the separation of the glyphs in X and Y in PAGEUNITS.
<br style="clear: both" />
!! Ordinal Data--Value
<div style="float: right; margin: 0px 5px;">
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig52a.gif]]|
|''Figure 5.2a'' CV.aml An ordinal data set displayed with color value. This data set was classified with the Jenk's optimal classification system.|c
@@
</div>
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig52b.gif]]|
|''Figure 5.2b'' AL.aml A legend for figure 5.2a. The continuous data is displayed as an unbroken column.|c
@@
</div>
</div>
Color value is best used for ordinal data. A new command in ARC/INFO release 6.0 allows the rapid generation of ordinal maps based on color value. The command SHADECOLOR allows a 'true color' specification of area fills. Prior to using SHADECOLOR, the shadetype must be set to color. Once this is done, colors can be specified by one of several color models (such as HLS, RGB and CMY). This macro uses lookup table symbols to specify value (lightness) in the HLS color model; see Figure 5.2a and [[CV.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/cv.aml]].
''CV'' <lookup_table> {hue} {intensity}
; <lookup_table>
:specifies HLS lightness (values from 0 to 100)
; {hue} {intensity}
: specify a color that will be value shaded.
<br style="clear: both" />
!! Ordinal to Ratio Data--Orientation
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig52c.gif]]|
|''Figure 5.2c'' CAO.aml A ratio data set displayed with symbol orientation. The original data was scaled in INFO to range from 0 to 179 degrees.|c
@@
</div>
For interval/ratio data that should not be classed and is continuous with abrupt spatial changes (that is, it should be displayed as a choropleth map), ARC/INFO provides one automated way of generating an unclassed choropleth map. It uses changes in the orientation of area fills to vary the symbolization. The POLYGONSHADES command is used with an area fill pattern that will show angular changes (not a solid color fill, for example), such as shade 5 of PLOTTER.SHD, and an angle item (preset to a range from 0 to 180 degrees) in the Polygon Attribute Table. This AML displays this kind of data; see Figure 5.2c and [[CAO.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/cao.aml]].
''CAO'' <cover> <angle_item> {shadeset} {shadesymbol}
; <cover>
: the polygon coverage to be displayed
; <angle_item>
: a numeric data item in the Polygon Attribute Table of <cover>
; <shadeset> <shadesymbol>
: select a shade to be oriented--defaults to plotter.shd 5.
<br style="clear: both" />
!! Monovariate Legends--Orientation
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig52d.gif]]|
|''Figure 5.2d'' OL.aml A legend for figure 5.2c. This AML generated angled lines and labels (the labels are from the original data values). It also labels the minimum and maximum.|c
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</div>
Because orientation can be used in point symbols as well as area symbols, the AML that follows is designed to work with either coverage type. It is also allows specification of a data variable that is not the same as the item that determined the drawing angle--an attribute item can be rescaled in INFO, for example, into another item and the second item can be used to draw area fills. The original item still holds the data values that the angles represent. By assuming a linear transformation between data values and angles, this AML can label the angles with an interpolated data value. See Figure 5.2d and [[OL.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ol.aml]].
''OL'' <cover> <point|poly> <data_item> <angle_item> <start_x> <start_y> <size> {textset} {font} {point_size} {float_precision}
; <cover>
: the point or polygon coverage with angle data
; <point|poly>
: the coverage type
; <data_item>
: the original data field
; <angle_item>
: the data field used to display rotated symbols
; <start_x> <start_y>
: the location of the center point of the legend
; <size>
: the length of each radiating line, in PAGEUNITS
; {textset} {font} {point_size}
: define the label test--defaults to a 10 point roman font
; {float_precision}
: the number of decimal places to be shown--the default is 2.
<br style="clear: both" />
For area symbolization, the visual variables of texture, orientation and value can be combined to represent to variables. This set of macros is designed for continuous and abruptly changing spatial data of nominal to ratio attribute levels.
!! Two Nominal Data Sets--Texture and Orientation
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig53a.gif]]|
|''Figure 5.3a'' CTO.aml Nominal data displayed with texture and a second nominal data set displayed with orientation.|c
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</div>
Texture is best for showing nominal data. With the default ARC/INFO shadeset, texture involves the selection of polygon shade patterns such as 5, 9 and 13. A more flexible approach to texture involves using the SHADETYPE and SHADESEPARATION commands. In this method the SHADETYPE must be set to type HATCH, first. Then the shadesize should be set; because of the dithering necessary to create gray shades on paper maps, the shadesize should be set to at least 0.02 inches. The SHADESEPARATION value is then varied to change the texture of the area fill. Because the general ARCPLOT commands require an integer in the SYMBOL column of a lookup table and this how the lookup table generation AMLs are set up, the AML, [[CTO.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/cto.aml]], scales each of the texture values by dividing by 100. SHADEANGLE is used to control the drawing angle of each shade; the SYMBOL values in the angle lookup table should be values from 0 to 180 degrees. See Figure 5.3a.
''CTO'' <texture_lookup> <orientation_lookup> {line_size}
; <texture_lookup>
: specifies line separation in hundredths of PAGEUNITS
; <orientation_lookup>
: specifies drawing angles
; {line_size}
: specifies the width of the fill lines--defaults to 0 (minimum displayable width).
<br style="clear: both" />
!! Nominal Data, and Ordinal Data--Texture Distinguished by Value
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig53b.gif]]|
|''Figure 5.3b'' CTV.aml Nominal data displayed with texture and ordinal data displayed with value. This can be used to display a data set with its meta-data.|c
@@
</div>
This AML makes use of two lookup tables to display texture and value; the first lookup table's symbol column should contain values for line separation, which will be divided by 100, and the second lookup table's symbol column should contain values for value (0 to 80). This method should be used when presenting data with meta-data, rather than texture, and orientation or hue, which are intended to show spatial correlation. See Figure 5.3b and [[CTV.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ctv.aml]].
''CTV''' <texture_lookup> <value_lookup> {line_size} {angle} {hue} {intensity}
; <texture_lookup>
: specifies line separation in hundredths of PAGEUNITS
; <value_lookup>
: specifies HLS lightness
; {line_size}
: specifies fill line width--defaults to 0.03 inches
; {angle}
: specifies a drawing angle--defaults to horizontal
; {hue} {intensity}
: specify a color to be value shaded.
<br style="clear: both" />
!! Nominal Data-1 and 2--Texture as Intersecting Lines
<div style="float: right; margin: 0px 5px;">
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig54a.gif]]|
|''Figure 5.4a'' CTL.aml Two nominal data sets displayed with texture. This AMl can also be used to display ordinal data.|c
@@
</div>
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig54b.gif]]|
|''Figure 5.4b'' CBL.aml A legend for figure 5.4a. The shape of the boxes formed by the intersecting lines designates the values shown.|c
@@
</div>
</div>
One method of bivariate mapping that has been studied (by Carstensen) for communication of two correlated variables is intersecting lines. This involves use of texture as a visual variable by the controlled mixing of horizontal and vertical lines. This AML uses the SYMBOL value in both of the lookup tables to determine the texture of the vertical (the first lookup table) and horizontal (the second lookup table) lines; see Figure 5.4a and [[CTL.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ctl.aml]] (the legend AML is presented on the [[5.3 Color Bivariate Choropleth Symbolization]] page).
''CTL'' <vertical_lookup> <horizontal_lookup> {line_size}
; <vertical_lookup>
: specifies line separation in hundredths of PAGEUNITS for vertical lines
; <horizontal_lookup>
: specifies line separation for horizontal lines
; {line_size}
: specifies line width--defaults to 0 (minimum displayable width).
<br style="clear: both" />
!! Two Ordinal to Ratio Data Sets--Texture as Intersecting Lines
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig54c.gif]]|
|''Figure 5.4c'' CIL.aml This intersecting lines map is an unclassed representation of two ratio data sets.|c
@@
</div>
A variation of the previous AML allows the display of unclassed, ratio data. This AML ([[CIL.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/cil.aml]]) makes use of the values in two columns of the Polygon Attribute Table to determine the spacing of the vertical and horizontal lines; see Figure 5.4c.
''CIL'' <cover> <vertical_texture_item> <horizontal_texture_item> {maximum_separation} {minimum_separation} {separation_scale} {line_size}
; <cover>
: the polygon coverage to be displayed
; <vertical_texture_item>
: a numeric data item in <cover> for vertical line spacing
; <horizontal_texture_item>
: a numeric data item in <cover> for horizontal line spacing
; {maximum_separation}
: the maximum width between lines--defaults to 0.3 inches
; {minimum_separation}
: the minimum width between lines--defaults to 0.05 inches
; {separation_scale}
: a real number to control exponential scaling of data to separation, the default is 1--linear scaling
; {line_size}
: specifies a fill line width--defaults to 0 (minimum displayable width).
!! Bivariate Legends--Unclassed Texture
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig54d.gif]]|
|''Figure 5.4d'' CILL.aml A legend for figure 5.4c. As with the classed map in figure 5.4a, the shape of the boxes desgnates the values represented.|c
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</div>
Because the previous AML uses Polygon Attribute Table to determine polygon texture, the AML that generates bivariate legends with lookup tables will not work. This AML only creates an unclassed texture legend, specifically for the maps generated with the previous AML. See Figure 5.4d and [[CILL.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/cill.aml]].
''CILL'' <cover> <vertical_item> <horizontal_item> <start_x> <start_y> <size_x> <size_y> {maximum_separation} {minimum_separation} {separation_scale} {line_size} {textset} {font} {point_size} {floating_point_precision}
; <cover>
: the polygon coverage displayed with CIL.aml
; <vertical_texture_item>
: a numeric data item in <cover> for vertical line spacing
; <horizontal_texture_item>
: a numeric data item in <cover> for horizontal line spacing
; <start_x> <start_y>
: the lower left corner of the legend's location
; <size_x> <size_y>
: the size of the legend diagram
; {maximum_separation}
: the maximum width between lines--defaults to 0.3 inches
; {minimum_separation}
: the minimum width between lines--defaults to 0.05 inches
; {separation_scale}
: a real number to control exponential scaling of data to separation, the default is 1--linear scaling
; {line_size}
: specifies a fill line width--defaults to 0 (minimum displayable width)
; {textset} {font} {point_size}
: define the labeling text--defaults to a 10 point roman font
; {floating_point_precision}
: the number of decimal places to be shown--the default is 2.
<br style="clear: both" />
With the addition of the color visual variables of hue and intensity, there are several more techniques available in ARC/INFO for the production of bivariate choropleth maps (for data that is continuous, and changes abruptly at polygon borders). These techniques include texture distinguished by hue, hue and intensity, dual-hue range and complementary-color maps.
!! Two Nominal Data Sets--Texture Distinguished by Hue
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig53c.gif]]|
|''Figure 5.3c'' CTH.aml Nominal data displayed with texture and a second nominal data set displayed with hue. This should be used for two separate variables, not data and meta-data.|c
@@
</div>
This AML is a modification of the AML that generated Figure 5.3a; unlike that macro, this should be used for two nominal data sets, rather than data and meta-data. The AML requires a lookup table that specifies texture (in integers which are divided by 100) and a lookup table that specifies HLS hue. See Figure 5.3c and [[CTH.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/cth.aml]].
'''CTH''' <texture_lookup> <value_lookup> {line_size} {value} {intensity}
; <texture_lookup>
: specifies line separation in hundredths of PAGEUNITS
; <value_lookup>
: specifies HLS lightness (from 0 to 100)
; {line_size}
: specifies a line width--defaults to 0.03 inches
; {value} {intensity}
: defaults of 50 and 100 (maximum intensity}.
<br style="clear: both" />
!! Bivariate Legends--Lookup Table Based Displays
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig53d.gif]]|
|''Figure 5.3d'' CBL.aml A legend for figure 5.3c. This AML will also generate legends for the bivariate mapping techniques shown in figures 5.3a and 5.3b.|c
@@
</div>
Along with the automation of polygon symbolization, the generation of legends can be automated. This AML ([[CBL.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/cbl.aml]]) creates bivariate legends for all of the area symbolization techniques that make use of two lookup tables. It automatically places labels on each of the axes, as well as the total number of occurrences in each column. See Figures 5.3d, 5.4b, 5.5b, 5.5d, 5.6b and 5.6d.
''CBL'' <lookup_1> <lookup_2> <start_x> <start_y> <size_x> <size_y> <d|c|i|l|v|h|o> {textset} {font} {point_size} {float_precision} {line_size} {color_parameter_1} {color_parameter_2}
; <lookup_1> <lookup_2>
: the two lookup tables used in a bivariate mapping AML
; <start_x> <start_y>
: the lower left corner of the legend display
; <size_x> <size_y>
: the x and y sizes of the legend display
; <d|c|i|l|v|h|o>
: the bivariate method used: Dual hue range, Complementary color, hue and Intensity, intersecting Lines, texture and Value, texture and Hue, and texture and Orientation
; {textset} {font} {point_size}
: define the labeling text--defaults to a 10 point roman font
; {float_precision}
: the number of decimal places to be shown--the default is 2
; {line_size}
: for the texture methods, the fill line width
; {color_[parameter_1} {color_parameter_2}
: for the texture with hue or value methods, the additional two color parameters.
<br style="clear: both" />
!! Two Nominal Data Sets--Dual Hue Ranges
<div style="float: right; margin: 0px 5px;">
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig55a.gif]]|
|''Figure 5.5a''' CDH.aml Two nominal data sets displayed with the dual hue range technique. This is best used to show the spatial replationship between two variables.|c
@@
</div>
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig55b.gif]]|
|''Figure 5.5b'' CBL.aml A legend for figure 5.5a. Nominal data is displayed with the size of the column or row indicating the total number of items in that column/row.|c
@@
</div>
</div>
To specify a hue, which can be used for mapping nominal or ordinal data, the SHADECOLOR command must be given with parameters that will establish a color. For dual hue range maps the shadecolors must be selected so that each data set uses one of the part-spectral color schemes (yellow to red, and yellow to green). See the table in the Dual Hue Range section in chapter three for a tables of possible color values. The lookup tables should set up to range from 0 to 100; one table will be used in the CMY color system to specify magenta (with yellow at 100, this controls the amount of red), and the other will specify cyan (with yellow at 100, this controls the amount of green). See Figure 5.5a and [[CDH.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/cdh.aml]].
''CDH'' <yellow-green_lookup> <yellow-red_lookup>
; <yellow-green_lookup>
: specifies CMY cyan (from 0 to 100)
; <yellow-red_lookup>
: specifies CMY magenta (from 0 to 100);
<br style="clear: both" />
!! Nominal Data, and Ordinal Data--Hue and Intensity
<div style="float: right; margin: 0px 5px;">
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig55c.gif]]|
|''Figure 5.5c'' CHI.aml Nominal data displayed with hue and ordinal meta-data displayed with color intensity; intense colors are used to display highly certain values.|c
@@
</div>
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig55d.gif]]|
|''Figure 5.5d'' CBL.aml A legend for figure 5.5c. The AML separates nominal information and displays continuous (ordinal+) data as an unbroken column.|c
@@
</div>
</div>
Color hue is best used for nominal data; intensity is best used for ordinal data (and generally only for meta-data, not a second data variable). The AML, [[CHI.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/chi.aml]], makes use of a lookup table that specifies HLS hue for a nominal data item, and HLS saturation (intensity) for an ordinal data item. See Figure 5.5c.
''CHI'' <hue_lookup> <intensity_lookup>
; <hue_lookup>
: specifies HLS hue (from 0 to 360) for a nominal data set
; <intensity_lookup>
: specifies HLS saturation (from 20 to 100) for an ordinal data set.
<br style="clear: both" />
!! Two Ordinal Data Sets--Complementary Colors
<div style="float: right; margin: 0px 5px;">
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig56a.gif]]|
|''Figure 5.6a'' CCC.aml Two ordinal data sets displayed with the complementary color system. The large amount of red in the image can provoke a reaction of alarm.|c
@@
</div>
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig56b.gif]]|
|''Figure 5.6b'' CBL.amlA legend for figure 5.6a. The use of two continuous variables is conveyed by using unbroken columns and rows, and placing labels at class breakpoints.|c
@@
</div>
</div>
An alternative color scheme to the spectral encoding system given above is the complementary color scheme. This system is best for mapping two ordinal variables, because it highlights negative or positive correlation with a central gray zone (when classes are equal-interval or color specifications relate to data values). For example, to symbolize positive correlations, the following CMY color values generate an appropriate shading:
|!Cyan|100|!Cyan|100|!Cyan|100|!Cyan|100|
|!Magenta|0|!Magenta|33|!Magenta|67|!Magenta|100|
|!Cyan|67|!Cyan|67|!Cyan|67|!Cyan|67|
|!Magenta|0|!Magenta|33|!Magenta|67|!Magenta|100|
|!Cyan|33|!Cyan|33|!Cyan|33|!Cyan|33|
|!Magenta|0|!Magenta|33|!Magenta|67|!Magenta|100|
|!Cyan|0|!Cyan|0|!Cyan|0|!Cyan|0|
|!Magenta|0|!Magenta|33|!Magenta|67|!Magenta|100|
<br style="clear: both" />
<div style="float: right; margin: 0px 5px;">
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig56c.gif]]|
|''Figure 5.6c'' CCC.aml The ordinal data sets from figure 5.6a with a reverse progression in the cyan lookup. This causes a change in overall tone of the map.|c
@@
</div>
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig56d.gif]]|
|''Figure 5.6d'' CBL.aml A legend for figure 5.6c. Note that with this ordering of cyan, high values on both axes are displayed in red--the color of danger.|c
@@
</div>
</div>
By reversing the values in either cyan or magenta/yellow, the direction of correlation that is highlighted is reversed. This AML requires two lookup tables, one of which has CMY values for cyan, and the other has values for red (magenta and yellow), like the table above. See Figure 5.6a (positive correlation) and 5.6c (the same data, but with negative correlation highlighting) and [[CCC.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ccc.aml]].
''CCC'' <cyan_lookup> <red_lookup>
; <cyan_lookup>
: specifies CMY cyan (from 0 to 100)
; <red_lookup>
: specifies CMY red (from 0 to 100).
<br style="clear: both" />
!! Two Ratio Data Sets--Eyton's Ellipse
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig57a.gif]]|
|''Figure 5.7a'' CEE.aml Two ratio data sets displayed using the equiprobability ellipse method. Correlation between the two variables is determined to select a middle class.|c
@@
</div>
Another technique for displaying correlations between two data sets is the equiprobability ellipse (Eyton 1984). This method uses four categories (a two by two matrix) to indicate the extreme values in the scatter plot of the two data sets, and a fifth category that indicates the central cluster of data. This method is effective at highlighting correlations between two data sets, but may not be effective in communicating uncertainty. See Figure 5.7a and [[CEE.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/cee.aml]].
''CEE'' <ellipse_lookup>
; <ellipse_lookup>
: a lookup table for polygons generated by [[EYTON.aml|2.2 Classifying Data]].
<br style="clear: both" />
!! Bivariate Legends--Eyton's Ellipse
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig57b.gif]]|
|''Figure5.7b'' EEL.aml A legend for figure 5.7a. A scatter plot show the location of each data pair, and the hues show the color used in the map.|c
@@
</div>
Because of the uniqueness of the this bivariate representation system, a different AML must be used to generate the legend. [[EEL.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/eel.aml]]] generates a scatter plot of the two correlated data sets, and shades each marker with the color used to represent that data value. The AML works with all of the equiprobability ellipse displays (points, lines, and polygons). See Figure 5.7b and [[EEL.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/eel.aml]].
''EEL'' <ellipse_lookup> <start_x> <start_y> <size_x> <size_y> {markerset} {markersymbol} {markersize} {textset} {font} {point_size} {float_precision}
; <ellipse_lookup>
: a lookup table generated by [[EYTON.aml|2.2 Classifying Data]]
; <start_x> <start_y>
: the lower left corner of the scatter plot
; <size_x> <size_y>
: the size of the scatter plot in PAGEUNITS
; {markerset} {markersymbol}
: specify a marker to use in the scatter plot, the default is municipal.mrk, symbol 104
; {markersize}
: the size of the scatter plot marker--defaults to 0.15 inches
; {textset} {font} {point_size}
: define the labelling text--defaults to a 10 point roman font
; {float_precision}
: defines the number of decimal places that will be shown--defaults to 2.
<br style="clear: both" />
Multivariate choropleth maps can expand on some of the bivariate mapping techniques in order to allow meta-data to be presented with data, in an otherwise bivariate map. Multivariate maps can also be used to present more than two data sets to the map reader.
!! Two Nominal or Ordinal Data Sets, Ordinal Data Sets--Texture with Value
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig57c.gif]]|
|''Figure 5.7c'' CTLVV.aml Two classed ratio (ordinal) data sets displayed with texture with meta-data for each data set displayed by using color value.|c
@@
|[img[fig57d.gif]]|
</div>
For monochrome displays, intersecting lines allow control of texture to convey a data value. By adding control of line value, meta-data can be presented along with the two primary data sets. This AML requires two lookup tables with values that will be divided by 100 to set texture and two lookup tables with HLS value data (0 to 80). See Figure 5.7c and [[CTLVV.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ctlvv.aml]]. (The legends are generated with [[CBL.aml|5.2 Monochrome Bivariate Choropleth Symbolization]] and [[AL.aml|5.1 Monovariate Choropleth Symbolization]]).
''CTLVV'' <horizontal_lookup> <horizontal_value_lookup> <vertical_lookup> <vertical_value_lookup> {hue} {intensity} {line_size}
; <horizontal_lookup>
: specifies line separation in hundredths of PAGEUNITS
; <horizontal_value_lookup>
: specifies HLS lightness (from 0 to 80)
; <vertical_lookup>
: specifies line separation i hundredths of PAGEUNITS
; <vertical_value_lookup>
: specifies HLS lightness (from 0 to 80)
; {hue} {intensity}
: specify a hue to be value shaded
; {line_size}
: specifies line width--defaults to 0.03 inches.
<br style="clear: both" />
!! Three Ordinal to Ratio Data Sets--Red, Green and Blue Symbolization
<div style="float: right; margin: 0px 5px;">
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig58a.gif]]|
|''Figure 5.8a'' CRGB.aml Three ratio data sets displayed with red, green and blue color ranges. This is the 'false color' imagery often used with satellite data.|c
@@
</div>
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig58c.gif]]|
|''Figure 5.8c'' CRGB.aml Three ratio data sets displayed with cyan, magenta and yellow color ranges. This color model shows variability at the low end of the data better than RGB.|c
@@
</div>
</div>
Three ratio data sets can be displayed by scaling the data to the range of the RGB color system (0 to 255) and then using the data values to specify color. This AML requires three numeric data items in the polygon attribute table; a switch can be specified to direct the AML to use the CMY color system, which can represent data values at the low end of each range better than the RGB system. See Figures 5.8a and 5.8c, and [[CRGB.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/crgb.aml]].
'''CRGB''' <cover> <red_item> <green_item> <blue_item> {r|c}
; <cover>
: the polygon coverage to be displayed
; <red_item> <green_item> <blue_item>
: three numeric data fields in the Polygon Attribute Table of <cover>
; {r|c}
: Rgb or Cmy color space.
<br style="clear: both" />
!! Multivariate Legends--RGB Space
<div style="float: right; margin: 0px 5px;">
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig58b.gif]]|
|''Figure 5.8b'' RGBL.amlA legend for figure 5.8a. The AML finds the minimum and maximum data values, and displays these along with the colors at the corners of the color cube.|c
@@
</div>
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig58d.gif]]|
|''Figure 5.8d'' RGBL.aml A legend for figure 5.8c. The AML increases the size of the front face of the cube, and the front four circles, in order to enhance the legend's '3-D' appearance.|c
@@
</div>
</div>
Because the specification of color requires three dimensions, development of a legend is difficult--it must appear to be three dimensional. This AML takes the same three numeric data items used for the previous AML and displays the colors and data values associated with the corners of the color cube. The AML will also work with points, lines and grids. See Figures 5.8b and 5.8d, and [[RGBL.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/rgbl.aml]].
''RGBL'' <cover> <point|line|poly|grid> <red_item> <green_item> <blue_item> <start_x> <start_y> <size_x> <size_y> {r|c} {textset} {font} {point} {floating_point_precision}
; <cover>
: the coverage that contains the data
; <point|line|poly|grid>
: the type of <cover>
; <red_item> <green_item> <blue_item>
: numeric fields in the attribute table of <cover>
; <start_x> <start_y>
: the lower left corner of the back plane of the legend
; <size_x> <size_y>
: the size of the back plane, in PAGEUNITS
; {r|c}
: Rgb or Cmy color space
; {textset} {font} {point}
: define the labelling text--defaults to a 10 point roman font
; {floating_point_precision}
: the number of decimal places to be shown--defaults to 2.
<br style="clear: both" />
For the generation of graduated symbol maps (which should be used for discrete, abruptly changing, ordinal to ratio area data), ARC/INFO provides two commands that allow rapid generation of these maps: SPOTSIZE and POLYGONSPOT. SPOTSIZE controls the scaling of data to circle size, and POLYGONSPOT does the plotting of the circles. A second method of graduated symbol mapping is cartograms. These maps scale individual polygons on the basis of a data value. Cartogram creation requires interactive map composition, both for the scaling of polygons and the repositioning of scaled polygons. * [[6.1 Monovariate Graduated Symbolization]] * [[6.2 Monochrome Bivariate Graduated Symbolization]] * [[6.3 Color Bivariate Graduated Symbolization]] * [[6.4 Multivariate Graduated Symbolization]]
Monovariate symbolization for graduated symbols is based on the manipulation of size to specify data. This makes graduated symbols appropriate for ordinal to ratio data.
!! Ordinal to Ratio Data--Graduated Circles
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig61a.gif]]|
|''Figure 6.1a'' GC.aml Discontinuous and abruptly changing, ratio area data displayed with graduated circles.|c
@@
</div>
This AML ([[GC.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/gc.aml]]) uses the commands SPOTSIZE and POLYGONSPOT to generate a graduated circle map. Because SPOTSIZE requires the minimum and maximum data values, the AML searches the data set for the extremes, and then displays the data. See Figure 6.1a.
''GC'' <cover> <size_item> {minimum_size} {maximum_size}
; <cover>
: the polygon coverage to be displayed
; <size_item>
: a numeric data field in the attribute table of <cover>
; {minimum_size}
: the circle representing the smallest data value--defaults to 0.05 inches
; {maximum_size}
: the circle representing the largest data value--defaults to 0.5 inches.
<br style="clear: both" />
!! Ordinal to Ratio Data--Cartograms
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig61b.gif]]|
|''Figure 6.1b'' GG.aml Ratio area data displayed with cartograms. This shows the AML's defaults--note the extremely small sizes and the misplaced polygons.|c
@@
</div>
There are several varieties of cartograms; this AML simply scales a polygon be a data value, and places the scaled polygon in the center of the original polygon's extents. Because this does not handle unusually shaped polygons well, the AML allows the scaled polygons to be repositioned. Since the representation of data in cartograms is done with the polygon outline, cartograms are best used to display density data (the AML calculates density from the data item and the polygon size). See Figure 6.1b and [[GG.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/gg.aml]].
''GG'' <cover> <size_item&grt; {scale_factor}
; <cover>r;
: the polygon coverage to be displayed
; <size_item>
: a numeric data field in the attribute table of <cover>
; {scale_factor}
: specifies the exponent used to calculate cartogram size--defaults to 1.
<br style="clear: both" />
Symbol size is good for either ordinal or interval/ratio data. For the generation of value-shaded, graduated symbol maps (which should be used for discrete, abruptly changing, ordinal to ratio area data and meta-data), size must be used in conjunction with SHADECOLOR. This combination allows the display of either data and meta-data, or two data variables.
!! Ordinal to Ratio Data, and Ordinal Data--Graduated Circles and Value
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig61c.gif]]|
|''Figure 6.1c'' GCV.aml Graduated circles that are value shaded with an ordinal data set. This is best used for meta-data, although a second data set can be displayed as well.|c
@@
</div>
This AML ([[GCV.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/gcv.aml]]) develops the display of graduated circles to include the value shading of the circle. The value_lookup must specify lightness data in the HLS color model, with value ranging from 0 black to no more than 90 (light gray), in order to avoid white symbols on a white background. See Figure 6.1c.
''GCV'' <size_item> <value_lookup> {minimum_size} {maximum_size} {hue} {saturation}
; <size_item>
: a numeric data field in the attribute table referred to by <value_lookup>
; <value_lookup>
: specifies HLS lightness data
; {minimum_size} {maximum_size}
: the minimum and maximum circle sizes, the defaults are 0.05 and 0.5 inches
; {hue} {saturation}
: specify a color that will be value shaded.
<br style="clear: both" />
!! Ordinal to Ratio Data, and Ordinal Data--Cartograms Shaded by Value
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig61d.gif]]|
|''Figure 6.1d'' GGV.aml Value shaded cartograms. The size data is the same as figure 6.1b, but here the scaling exponent is 0.5; this represents smaller data values with larger polygons.|c
@@
</div>
By using interactive map composition, cartograms (use of scaled areas to represent a data value) can be drawn in ARC/INFO. Value is used to represent a second variable; this can be used for a second variable when color is not an available option, or meta-data. See Figure 6.1d and [[GGV.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ggv.aml]].
''GGV'' <size_item> <value_lookup> {scale_factor} {hue} {intensity}
; <size_item>
: a numeric data field in the attribute table referred to by <value_lookup>
; <value_lookup>
: specifies HLS lightness data
;{scale_factor}
: specifies the exponent used to calculated cartogram size--defaults to 1
;{hue} {intensity}
: specify a color that will be value shaded.
<br style="clear: both" />
Symbol size is good for either ordinal or interval/ratio data. Graduated symbol maps should be used for discrete, abruptly changing, ordinal to ratio area data. Color hue can be used to display a second, nominal data set.
!! Ordinal to Ratio Data, and Nominal Data--Graduated Circles and Hue
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig62a.gif]]|
|''Figure 6.2a''' GCH.aml Discontinuous and abruptly changing, ratio area data displayed with graduated circles that are hue shaded (to represent a nominal data set).|c
@@
</div>
Unlike the macro used to generate Figure 6.1c, this AML should be used for two data sets--one ratio and one nominal, rather than data and meta-data. See Figure 6.2a and [[GCH.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/gch.aml]].
''GCH'' <size_item> <hue_lookup> {minimum_size} {maximum_size} {value} {intensity}
; <size_item>
: a numeric data field in attribute table referred to by <hue_lookup>
; <hue_lookup>
: specifies HLS hue data (from 0 to 360)
; {minimum_size}
: the size of the smallest data value's circle--defaults to 0.05 inches
; {maximum_size}
: the size of the largest data value's circle--defaults to 0.5 inches
; {value} {intensity}
: default to 50 and 100 (maximum intensity).
<br style="clear: both" />
!! Graduated Circle Legends
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig62b.gif]]|
|''Figure 6.2b'' GCL.aml A legend for figure 6.2a. The graduated circle legend identifies size data, and the hue data is displayed with AL.aml.|c
@@
</div>
This AML ([[GCL.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/gcl.aml]]) generates a series of circles that are labeled with the data value represented by that size, and filled with the polygon fill in shadesymbol 1. It works for all of the graduated symbol AMLs (point and area). It should be supplemented by an additional figure if the circles are hue or value shaded (see Figure 6.2b).
''GCL'' <cover> <point|node|poly> <size_item> <start_x&grt; <start_y> <number_of_symbols> {minimum_size} {maximum_size} {textset} {font} {point} {float_precision}
; <cover>
: the coverage that was displayed with graduated circles
; <point|node|poly>
: the type of <cover>
; <size_item>
: the numeric data item in the attribute table of <cover>r;
; <start_x> <start_y>
: lower center of the column of circles
; <number_of_symbols>
: the number of circle to be drawn for the legend
; {minimum_size}
: the size used to display the smallest data value--defaults to 0.05 inches
; {maximum_size}
: the size used to display the largest data value--defaults to 0.5 inches
; {textset} {font} {point}
: define the labelling text--defaults to a 10 point roman font
; {float_precision}
: the number of decimal places to be shown--defaults to 2.
<br style="clear: both" />
!! Ordinal to Ratio Data, and Nominal Data--Cartograms with Hue
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig62c.gif]]|
|''Figure 6.2c'' GGH.aml Hue shaded cartograms. These can be used to represetnd a nominal data set and a ratio (density) data set.|c
@@
</div>
This AML should be used to display a nominal data set, along with density data. See Figure 6.2c and [[GGH.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ggh.aml]].
''GGH'' <size_item> <hue_lookup> {value} {intensity} {size_scale}
; <size_item>
: a numeric data field in the attribute table referred to by <hue_lookup>
; <hue_lookup>
: specifies HLS hue (from 0 to 300)
; {value} {intensity}
: default to 50 and 100 (maximum intensity)
; {size_scale}
: specifies the exponent used to calculate cartogram size--defaults to 1.
<br style="clear: both" />
!! Cartogram Legends
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig62d.gif]]|
|''Figure 6.2d'' GGL.aml A legend for figure 6.2c. Cartogram size data is displayed with reference to an unscaled polygon, in order to indicate that the symbols are based on polygon size.|c
@@
</div>
This AML ([[GGL.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ggl.aml]]), like the graduated circle legend AML, generates a series of polygons that represent data values. Each polygon is placed inside an unscaled outline of the polygon, and labeled. The polygon is drawn with the current polygon shade fill. This legend must also be supplemented by a legend specifying hue, value, or hue and intensity, if more than one variable is shown on the map (see Figure 6.2d).
'''GGL''' <cover> <size_item> <start_x> <start_y> <size_x> <size_y> <number_of_symbols> {scale} {polygon} {textset} {font} {point} {precision}
; <cover>
: the polygon coverage displayed with cartograms
; <size_item>
: a numeric data field in the attribute table of <cover>
; <start_x> <start_y>
: the lower left corner of the legend area
; <size_x> <size_y>
: the drawing size of each polygon
; <number_of_symbols>
: the total number of legend symbols
; {scale}
: the exponent used to calculate cartogram size--defaults to 1
; {polygon}
: the record number of an example polygon--defaults to the middle record
; {textset} {font} {point}
: define the labelling text--defaults to a 10 point roman font
; {precision}
: the number of decimal places to be shown--defaults to 4.
<br style="clear: both" />
Two multivariate symbolization methods are presented here. Hue, intensity and size is a development of hue and size. Graduated pie symbols allow the display of a total value and a set of components of that value.
!! Ratio Data, Nominal Data, and Ordinal Data--Circles, Hue and Intensity
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig63a.gif]]|
|''Figure 6.3a'' GCHI.aml Graduated circles shaded with color hue (a nominal data set) and intensity (an ordinal data set).|c
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</div>
Like all graduated symbols, size should be used to represent a ratio variable (that is discrete and abruptly changing). Hue can be used to represent a second, nominal variable, and intensity can be used to represent an ordinal data--including ratio meta-data. See Figure 6.3a and [[GCHI.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/gchi.aml]].
''GCHI'' <size_item> <hue_lookup> <intensity_lookup> {minimum_size} {maximum_size}
; <size_item>
: a numeric data field in the cover referred to by <hue_lookup>
; <hue_lookup>
: specifies HLS hue (from 0 to 300)
; <intensity_lookup>
: specifies HLS saturation (from 20 to 100)
; {minimum_size}
: the size representing the smallest data value--defaults to 0.05 inches
; {maximum_size}
: the size representing the largest data value--defaults to 0.5 inches.
<br style="clear: both" />
!! Ratio Data, Nominal Data, and Ordinal Data--Cartograms, Hue and Intensity
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig63b.gif]]|
|''Figure 6.3b'' GGHI.aml Cartograms shaded with hue and intensity. Cartograms should be used to represent density data.|c
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</div>
Like the previous AML, this macro should be used to represent a ratio data set, a nominal data set, and an ordinal data set (which can be ratio meta-data). Like the other cartogram AML's this should be used to display density information. See Figure 6.3b and [[GGHI.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/gghi.aml]].
''GGHI'' <size_item> <hue_lookup> <intensity_lookup> {size_scale}
; <size_item>
: a numeric data filed in the coverage referred to by <hue_lookup>
; <hue_lookup>
: specifies HLS hue data (from 0 to 300)
; <intensity_lookup>
: specifies HLS saturation (from 20 to 100)
; {size_scale}
: specifies the exponent used to calculate cartogram size--defaults to 1.
<br style="clear: both" />
!! Ratio Data--Polygon Pie Graphs
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig63c.gif]]|
|''Figure 6.3c'' GP.aml Graduated pie symbols. These show a total value (size) and the components of the total (each pie wedge).|c
@@
</div>
In addition to the appropriate spatial characteristics, graduated pie maps should also have a data value that represents a total of multiple elements (this total determines circle size). Each element displayed a fraction (pie wedge) of the whole. The AML automatically determines hues for each element. See Figure 6.3c and [[GP.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/gp.aml]].
''GP'' <cover> <size_item> <minimum_size> <maximum_size> <number_of_subitems> <item_1...item_n>
; <cover>
: a polygon coverage with data that is discontinuous and abruptly changing
; <size_item>
: a numeric field in the attribute table of <cover>, which is a total of <items>
; <minimum_size>
: the size of the smallest data value's circle (0.05 may be good)
; <maximum_size>
: the size of the largest data value's circle (0.5 may be good)
; <number_of_subitems>
: the total number of items given in <item_1...item_n>
; <item_1...item_n>
: numeric fields in <cover> that represent elements of <size_item>.
<br style="clear: both" />
!! Graduated Pie Legends
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig63d.gif]]|
|''Figure 6.3d'' GPL.aml A legend for figure 6.3c. The size data can be displayed with the graduated circle legend AML. Pie slices are shaded and labeled by this AML.|c
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</div>
Legends for graduated pie can be generated by using the graduated circle legend AML for displaying size data, and using [[GPL.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/gpl.aml]] to display the hues used to shade pie slices. This AML uses the same hue selection routine as the graduated pie mapping AMLs, but it only draws one circle with equally sized pie slices. See Figure 6.3d.
''GPL'' <pie_size> <center_x> <center_y> <number_of_data_items> {textset} {font} {point_size} {data_item_names}
; <pie_size>
: a numeric value in PAGEUNITS for the circle radius
; <center_x> <center_y>
: the center location of the circle
; <number_of_data_items>
: the <number_of_items> used in the mapping AML
; {textset} {font} {point_size}
: define the labelling text--defaults to a 10 point roman font
; {data_item_names}
: the labelling text--if used, there should be <number_of_data_items> separated by spaces.
<br style="clear: both" />
For data that falls in the middle of the Continuous--Discrete range and in the middle of the Abrupt--Smooth range (see Figure 1.1), a grid cell representation should be used. This is accomplished by converting a polygon coverage into a grid data layer; if necessary, smoothing the resulting grid; then displaying the grid. POLYGRID is an ARC command that converts a polygon coverage into the GRID cell format.
!! Conversion of Polygons to Grids
POLYGRID is an ARC command that converts polygon coverages into GRID cell format. This is best for nominal data, or other polygon data that needs to retain the shape of the original polygon. For ratio data, the GRID operators:IDW, SPLINE and TREND allow conversion of polygons to grids. These operators take a point file (polygon centers can be used) which also have a 'Z' value and calculate intermediate values, in order to populate the resulting grid. IDW is the inverse distance weighted routine; this is quick, but it may smooth the data by eliminating extreme values. SPLINE retains extremes, but requires more processing time. TREND calculates an overall trend for the input data. [https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/polygrid.aml POLYGRID.aml] links the ARC command to ARCPLOT. An ARC version of the ARCPLOT AML is called POLYGRID.
''POLYGRID'' <in_cover> <data_item> <out_grid> {resolution} {p|l|i|s|t}
; <in_cover>
: the input polygon coverage
; <data_item>
: a numeric data field in the attribute table of <in_cover>
; <out_grid>
: the resulting grid
; {resolution}
: cell resolution--defaults to one hundredth of the smaller axis
; {p|l|i|s|t}
: the method used to generate the grid--defaults to p: Polygon, poInt, Idw, Spline, Trend
!! Lookup Tables for Ratio Grids
Because of the impracticality of calculating optimal breakpoints for ratio grid layers, this AML ([https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/gridlut.aml GRIDLUT.aml]) only generates equal interval, or mean and standard deviation classifications. These are based on the grid statistics table, rather than calculated directly from the data set. Lookup tables for nominal grids can be generated with [https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/setman.aml SETMAN.aml].
''GRIDLUT'' <grid> <lookup_name> <classes> {interval|standard_deviation}
; <grid>
: the name of the grid layer
; <lookup_name>
: a name for the resulting lookup table
; <classes>
: the number of classes in the resulting lookup table
; {interval|standard_deviation}
: the classification method: equal Interval (the default) or Standard deviation
* [[7.1 Monovariate Grid Symbolization]]
* [[7.2 Multivariate Grid Symbolization]]
Because of the limitations of ARC/INFO, which reflect the nature of the raster data model, single grid layers can only be displayed with hue, value or intensity (not used here). A grid cell is generally represented by a single pixel, which prevents use of area fills based on shape, texture, etc.
!! Nominal Data--Hue
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig71a.gif]]|
|''Figure 7.1a'' RH.aml Grided (raster) nominal data displayed with color hue.|c
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</div>
Color hue is best used for nominal data. Because of this, [[RH.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/rh.aml]] takes a lookup table generated by [[SETMAN.aml|2.2 Classifying Data]]--the method for creating nominal, grid lookup tables. Legends for hue and value based displays can be generated with [[AL.aml|5.1 Monovariate Choropleth Symbolization]]. See Figure 7.1a.
''RH'' <hue_lookup> {value} {intensity}
; <hue_lookup>
: specifies HLS hue (from 0 to 300)
; {value} {intensity}
: default to 50 and 100 (maximum intensity).
<br style="clear: both" />
!! Ordinal to Ratio Data--Value
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig71b.gif]]|
|''Figure 7.1b'' RV.aml Girded ratio data displayed with value. Like the color hue display, legends for this type of data can be displayed with AL.aml.|c
@@
</div>
Because color value is best for ordinal data, this AML requires a lookup table generated by [[GRIDLUT.aml|7. Grid Symbolization]]. For grid layers in which the middle value is important, the lookup table should be generated with the mean and standard deviation method, otherwise equal intervals is probably better. See Figure 7.1b and [[RV.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/rv.aml]].
''RV'' <value_lookup> {hue} {intensity}
; <value_lookup>
: specifies HLS lightness (from 0 to 100)
; {hue} {intensity}
: specify a color to be value shaded--defaults to 0 and 0.
<br style="clear: both" />
As with single variable displays, bivariate displays are limited to the control of color. This is best accomplished by use of hue and intensity. Three variables can be represented in grid cell format by use of Red, Green and Blue encoding. This is the method used to generate color satellite images, for example.
!! Nominal Data, and Ordinal Data--Hue and Intensity
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig71c.gif]]|
|''Figure 7.1c'' RHI.aml Nominal data displayed with hue and ordinal data displayed with intensity (compare figure 5.5a).|c
@@
</div>
Hue should be used for nominal data (with a lookup table generated by [[SETMAN.aml|2.2 Classifying Data]]). Intensity should be used for ordinal data (with a lookup table generated by [[GRIDLUT.aml|7. Grid Symbolization]]). Legends can be created with [[BL.aml|5.2 Monochrome Bivariate Choropleth Symbolization]]. See Figure 7.1c and [[RHI.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/rhi.aml]].
''RHI'' <hue_lookup> <intensity_lookup> {nominal_vat_item} {ordinal_vat_item}
; <hue_lookup>
: specifies HLS hue (from 0 to 300)
; <intensity_lookup>
: specifies HLS saturation (from 20 to 100)
; {nominal_vat_item}
: specifies an item in the hue grid attribute table other than VALUE
; {ordinal_vat_item}
: specifies an item in the intensity grid attribute table other than VALUE.
<br style="clear: both" />
!! Three Ordinal to Ratio Data Sets--Red, Green and Blue Symbolization
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig71d.gif]]|
|''Figure 7.1d'' RRGB.aml The ratio data sets displayed with red, green and blue.|c
@@
</div>
This AML takes three grids, assigns the first to red, the second to green, and the third to blue. Each grid is linearly stretched from 0 (no color) to 255 (maximum color), and displayed. Legends can be created with [[RGBL.aml|5.4 Multivariate Choropleth Symbolization]]. See Figure 7.1d and [[RRGB.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/rrgb.aml]].
'''RRGB'' <red_data_grid> <green_data_grid> <blue_data_grid>
; <red_data_grid>
: a grid that will be displayed in shades of red;
; <green_data_grid>
: a grid that will be displayed in shades of green
; <blue_data_grid>
: a grid that will be displayed in shades of blue.
<br style="clear: both" />
Production of dot density maps, which should be used for discrete, smoothly changing area data, in ARC/INFO requires the use of GRID and TIN for their creation. This is accomplished by converting a polygon coverage to a grid data layer; if necessary, smoothing the resulting grid; then converting the grid into a stepped surface polygon coverage. ARCPLOT then fills the polygons with dots.
!! Conversion of Polygons to Dot Density
[[POLYDOT.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/polydot.aml]] performs the conversion from polygons based on choropleth boundaries to polygons based on stepped surface boundaries. A lookup table for the input coverage is used to determine the steps. The lookup table can be based on Jenks optimal, or some other classification method. The AML modifies this input lookup table, in order to make it the lookup table for the output coverage. See the discussion of surface generation on page 84.
''POLYDOT'' <lookup_table> <out_cover> {resolution} {i|s|t}
; <lookup_table>
: specifies a stepped surface classification for <out_cover>
; <out_cover>
: the resulting stepped surface coverage
; {resolution}
: the grid cell size for creating a surface, defaults to one hundredth of the smallest axis of the <lookup_table> coverage
; {i|s|t}
: the method of creating the surface: Idw, Spline, or Trend
* [[8.1 Monovariate Dot Density Symbolization]]
* [[8.2 Monochrome Bivariate Dot Density Symbolization]]
* [[8.3 Color Bivariate Dot Density Symbolization]]
* [[8.4 Multivariate Dot Density Symbolization]]
For single variable dot density maps, the visual variable of texture is used to show changes in data value. By controlling the number of dots placed in an area, data that is discrete, but smoothly changing can be represented.
!! Ordinal to Ratio Data--Texture
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig81a.gif]]|
|''Figure 8.1a'' DD.aml Discontinuous and smoothly changing data displayed with dot density. This use of texture is accomplished by converting polygons in to stepped surfaces.|c
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</div>
Texture can be controlled by using SHADESEPARATION with shadetype RANDOMDOTS. Higher values should be represented with a small separation--this will increase the dot density. Because of ARCPLOT's dot placement routine, the shade separation for dots of 0 size must not be greater than 4/100 of an inch. For four classes, [[SETAUTO.aml|2.2 Classifying Data]] can be run with the arguments 0 100 0.5 22. See Figure 8.1a and [[DD.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/dd.aml]].
''DD'' <lookup_table> {dot_size}
; <lookup_table>
: specifies dot separation in hundredths of PAGEUNITS
; {dot_size}
: the size of individual dots--defaults to 0.02 inches.
<br style="clear: both" />
!! Monovariate Dot Density Legends
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig81b.gif]]|
|''Figure 8.1b'' DDL.aml A legend for figure 8.1a. The continuous nature of the data is displayed by the unbroken column and labels at transition points.|c
@@
</div>
Legends for dot density maps must convey the idea of a continuous range of data values. To accomplish this, [[DDL.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ddl.aml]] generates a column that is subdivided, and labeled, at the surface breakpoints, and filled with dots of the appropriate density. See Figure 8.1b.
''DDL'' <dot_lookup> <start_x> <start_y> <size_x> <size_y> {dot_size} {textset} {font} {point_size} {float_precisiont}
; <dot_lookup>
: the lookup table that specifies shade separation
; <start_x> <start_y>
: the lower left corner of the legend column
; <size_x> <size_y>
: the x and y sizes of the legend
; {dot_size}
: the size of dot used in the map--defaults to 0.02 inches
; {textset} {font} {point_size}
: define the labelling text--defaults to a 10 point roman font
; {float_precision}
: the number of decimal places shown in the legend--defaults to 2.
<br style="clear: both" />
Monochrome bivariate maps are limited to dot density texture and color value. This can be used to display two data values, or data (texture) and meta-data (value).
!! Ratio Data, and Ordinal Data--Texture and Value
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig81c.gif]]|
|''Figure 8.1c'' DDV.aml Ratio data displayed with dot density texture and ordinal data displayed with color value. This can be used to show ratio meta-data.|c
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</div>
Dot density maps that show more than texture must use a dot size larger than that needed for texture alone. This is because specification of halftone shades (such as those used by printers) requires more than one pixel (which can only be on or off). The macro, [[DDV.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ddv.aml]], adjusts for this by using a larger dot size. See Figure 8.1c.
''DDV'' <dot_lookup> <value_lookup> {dot_size} {hue} {intensity}
; <dot_lookup>
: specifies dot density in hundredths of PAGEUNITS
; <value_lookup>
: specifies HLS lightness (from 10 to 100)
; {dot_size}
: the size of a dot--defaults to 0.03 inches
; {hue} {intensity}
: specify a color to be value shaded.
<br style="clear: both" />
!! Bivariate Dot Density Legends
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig81d.gif]]|
|''Figure 8.1d'' DDBL.aml A legend for figure 8.1c. This AML can also be used to generate a legend for dot density and hue maps.|c
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</div>
Like single variable legends, bivariate legends must convey the idea of continuity in dot density, as well as display the character of the second variable. The macro will display hue (nominal) data in separate rows, and value (ordinal) data as continuous. See [[DDBL.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ddbl.aml]] and Figure 8.1d.
''DDBL'' <dot_lookup> <lookup_2> <start_x> <start_y <size_x> <size_y> <h|v> {dot_size} {textset} {font} {text_size} {float_precision} {color_parameter_1} {color_parameter_2}
; <dot_lookup>
: the lookup table used to specify dot density
; <lookup_2>
: the lookup used to specify hue or value
; <start_x> <start_y>
: the lower left corner of the legend box
; <size_x> <size_y>
: the size of the legend box
; <h|v>
: Hue or Value symbolization
; {dot_size}
: the size of dot used in the map--defaults to 0.03 inches
; {textset} {font} {text_size}
: define the labelling text--defaults to a 10 point roman font
; {float_precision}
: the number of decimal places shown--defaults to 2
; {color_parameter_1}
: for Hue, value; for Value, hue
; {color_parameter_2}
: intensity--defaults are the same as the mapping AMLs.
<br style="clear: both" />
!! Ratio Data, and Nominal Data--Texture and Hue
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig82a.gif]]|
|''Figure 8.2a'' DDH.aml Ratio data displayed with dot density texture and nominal data displayed with color hue.|c
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</div>
Color bivariate maps use texture and hue to display data. Texture should be used for numeric data, and hue should be used for nominal data.
This AML is a variant of the monochrome macro. Like that one, shade separation must not be specified lower than 0.04 inches, or ARCPLOT will hang. See [[DDH.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ddh.aml]] and Figure 8.2a.
''DDH'' <dot_lookup> <hue_lookup> {dot_size} {value} {intensity}
; <dot_lookup>
: specifies dot density in hundredths of PAGEUNITS
; <hue_lookup>
: specifies HLS hue (from 0 to 300)
; {value} {intensity}
: default to 50 and 100 (maximum intensity}
<br style="clear: both" />
More than two variables can be shown in a dot-density map by making use of two or three of the dimensions used to specify color. Hue and intensity allow three variables to be shown and RGB symbolization allow four variables to be shown.
!! Ratio Data, Nominal Data and Ordinal Data--Texture, Hue and Intensity
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig82b.gif]]|
|''Figure 8.2b'' DDHI.aml Ratio data displayed with dot density texture, nominal data displayed with hue and ordinal data (ratio meta-data) displayed with intensity.|c
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</div>
The use of color intensity can be used to display an ordinal data set, such as meta-data. This can be accomplished by adding intensity to the dot density and hue AML. See [[DDHI.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ddhi.aml]] and Figure 8.2b.
''DDHI'' <dot_lookup> <hue_lookup> <intensity_lookup> {dot_size}
; <dot_lookup>
: specifies shade separation in hundredths of PAGEUNITS
; <hue_lookup>
: specifies HLS hue (from 0 to 300)
; <intensity_lookup>
: specifies HLS saturation (from 20 to 100)
; {dot_size}
: specifies the size of a dot--defaults to 0.03 inches.
<br style="clear: both" />
!! Three Ordinal to Ratio Data Sets--Red, Green and Blue Symbolization
<div style="float: right; margin: 0px 5px;">
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig82c.gif]]|
|''Figure 8.2c'' DDRGB.aml Four ratio data sets, one displayed with dot density texture, one with red, one with green and one with blue. Color data values are linearly stretched.|c
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</div>
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig82d.gif]]|
|''Figure 8.2d'' DDL.aml and RGBL.aml A legend for figure 8.2c. These two AMLs display all of the data shown, without creating a four dimensional display.|c
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</div>
</div>
Three numeric data sets can be displayed by assigning each to one of the color primaries (red, green and blue). In order to ensure that all data values are represented, [[DDRGB.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/ddrgb.aml]] linearly stretches each of the color data sets, so that each value ranges from 0 to 250, or 0 to 100 for the CMY color model (this may show changes at the lower ranges of the data better than RGB). See Figures 8.2c and d.
''DDRGB'' <dot_lookup> <red_item> <green_item> <blue_item> {r|c} {dot_size}
; <dot_lookup>
: specifies shade separation in hundredths of PAGEUNITS
; <red_item> <green_item> <blue_item>
: numeric data fields in the coverage referred to by
; <dot_lookup>
: {r|c}
; selects the Rgb (the default) or the Cmy color model
: {dot_size}
;specifies the size of a dot--defaults to 0.03 inches.
<br style="clear: both" />
Isopleth maps, or the three-dimensional equivalent, fishnet displays, should be used for data that are continuous and smoothly changing. Both of these can be displayed within ARCPLOT, but first a surface must be generated from a coverage. The result of this conversion, or any grid layer, can be turned into a isoline coverage and displayed as arcs, or displayed as a fishnet. All of the surface display routines can be used for both grids (lattices) and TINs (Triangulated Irregular Networks).
!! Polygon to Isoline Conversion
Contours can be used to show continuous, constantly changing data, but if the data are summarized to polygons, isolines must be generated before they can be displayed. [https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/polycont.aml POLYCONT.aml] accomplishes this. See the discussion of surface calculation on page 84.
''POLYCONT'' <in_cover> <data_item> <out_cover> {contour_interval} {resolution} {i|s|t}
; <in_cover>
: the coverage to be converted
; <data_item>
: a numeric data field in <in_cover> that specifies 'Z' values
; <out_cover>
: the output line coverage
; {contour interval}
: the contour interval of the output coverage--default is 1/10 of the range
; {resolution}
: resolution of the surface grid--defaults is 1/100 of the small axis <in_cover>
: {i|s|t}
: surface calculation method: Idw (default), Spline, or Trend surface.
!! Polygon to Surface Conversion
The generation of a surface can be accomplished by creating a grid or a TIN. Creation of grids is discussed on page 84. In general, grids may be the better method, unless full use is made of the TIN surface generation capabilities. A simple TIN can be created from ARCPLOT with [https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/polytin.aml POLYTIN.aml].
'''POLYTIN''' <in_cover> <data_item> <out_tin> {polys|labels}
; <in_cover>
: the coverage to be converted;
; <data_item>
: a numeric item in <in_cover> that specifies 'Z' values;
; <out_tin>
: the output surface;
;{polys|labels}
: whether polygon bounds or label points should be used as the Z reference.
* [[9.1 Monovariate Isopleth Symbolization]]
* [[9.2 Monochrome Bivariate Isopleth Symbolization]]
* [[9.3 Color Bivariate Isopleth Symbolization]]
* [[9.4 Multivariate Isopleth Symbolization]]
The two primary methods of surface display, isolines and fishnets, display a single variable by control of location. This should only be used for interval or ratio data.
!! Ratio Data--Isoline Location
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig91a.gif]]|
|''Figure 9.1a'' SISO.aml A continuous, smoothly changing ratio surface displayed with isolines. The AMl attempts to place contour labels along the lines.|c
@@
</div>
Isoline coverages are arc coverages that can be labeled with a surface height (although elevation is a common use, it is not the only use of isolines and fishnets). [[SISO.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/siso.aml]] draws arcs with the current line type and labels the arcs. Because the current line type is used multivariate maps can be created by changing line hue, value, shape, etc. See Figure 9.1a.
'''SISO''' <cover> {contour_item} {textset} {font} {point_size} {float_precision}
; <cover>
: a coverage generated by POLYCONT
; {contour_item}
: defaults to the item generated by POLYCONT (contour)
; {textset} {font} {point_size}
: define labelling text--defaults to a 10 point roman font
; {float_precision}
: the number of decimal places shown in contour labels--defaults to 0.
<br style="clear: both" />
!! Ratio Data--Fishnet Height
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig91b.gif]]|
|''Figure 9.1b'' SF.aml Ratio are data displayed with a fishnet. This display shows the default options of SURFACEDEFAULTS and the AML.|c
@@
</div>
The macro, [[SF.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/sf.aml]], simply automates the default setup of a surface display, calculates a better 'Z' expansion value than ARCPLOT, and displays the surface. The expansion value relates the data values used to describe X and Y locations with the value used to describe the height at a location. For example, the default view for a surface could appear absolutely flat, if the X and Y coordinates have a much larger range than the Z values. See Figure 9.1b.
''SF'' <surface> {zfactor} {lattice|tin} {resolution}
; <surface>
: a grid layer or a TIN
; {zfactor}
: 'Z' expansion factor--defaults to range_of_z / the larger of x_range and y_range
; {lattice|tin}
: the type of <surface>--defaults to lattice (grid)
; {resolution}
: the density of fishnet lines--defaults to the SURFACEDEFAULTS value.
<br style="clear: both" />
!! Isoline and Fishnet Legends
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig91d.gif]]|
|''Figure 9.1d'' SFL.aml A legend for the surface in figure 9.1b. Because of the comparative abstractness of isolines, legends for both fishnets and isolines should show a labeled surface.|c
@@
</div>
Isoline and fishnet legends can be generated by specifying a small area for the display of a fishnet that has isolines drawn on it, and labeled. This is most beneficial for isoline maps, which can be greatly enhanced by the inclusion of the less abstract fishnet as the legend. See [[SFL.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/sfl.aml]] and Figure 9.1d.
''SFL'' <surface> <x_start> <y_start> <x_size> <y_size> <contour_interval> {zscale} {lattice|tin} {textset} {font} {point} {precision}
; <surface>
: a grid layer or a TIN--not an isoline (arc) coverage
; <x_start> <y_start>
: the lower left corner of the legend
; <x_size> <y_size>
: the size of the legend drawing area
; <contour_interval>
: the separation distance in Z of isolines
; {zscale}
: a 'Z' expansion factor
; {lattice|tin}
: the type of <surface>--defaults to lattice
; {textset} {font} {point}
: define the labelling text--defaults to a 10 point roman font
; {precision}
: the number of decimal places to be shown in the legend--defaults to 2.
<br style="clear: both" />
Monochrome bivariate isoline maps can be generated by changing the line shape, texture, size, value, etc of the current line and using the monovariate line AML to draw a second isoline coverage.
!! Ratio Data and Ordinal Data--Surface Shaded with Value
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig91c.gif]]|
|''Figure 9.1c'' SFV.aml Value shaded surface. This can be used hypsometric tinting, as well as the display of meta-data.|c
@@
</div>
Both polygon coverages and grid layers can be used to value shade a surface. In either case, the data should be ordinal. The ARCPLOT draping routine seems to work better with grids than with polygons. See [[SFV.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/sfv.aml]] and Figure 9.1c.
''SFV'' <surface> <value_lookup> {zfactor} {lattice|tin} {resolution} {hue} {intensity}
; <surface>
: a grid layer of a TIN
; <value_lookup>
: specifies HLS lightness (0 to 100) for a polygon coverage or a grid
; {zfactor}
: 'Z' expansion factor--defaults to z-range / the larger of x-range and y-range
; {lattice|tin}
: the type of <surface>--defaults to lattice
; {resolution}
: the density of fishnet lines--defaults to the smaller of x-range and y-range / 25
; {hue} {intensity}
: define a color to be value shaded.
<br style="clear: both" />
Monochrome, bivariate fishnet maps can be generated by value shading a surface. Like monochrome, color bivariate isolines can be created by changing the current line's color and drawing a second isoline coverage. Color, bivariate fishnets can be generated by hue shading a surface.
!! Ratio Data and Nominal Data--Surface Shaded with Hue
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig92a.gif]]|
|''Figure 9.2a'' SFH.aml Continuous, smoothly changing ratio data displayed as a surface. The surface is hue shaded with a nominal dat set (the AML supports polygons and grids).|c
@@
</div>
A prime example of the appropriate use of hue shaded surfaces is the display of land use/land cover data over a digital terrain model. Although this is a common use, hue can be used for any nominal data (this AML supports both choropleth and grid cell data). The surface can be any continuous, smoothly changing ratio data set. See [[SFH.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/sfh.aml]] and Figure 9.2a.
''SFH'' <surface> <hue_lookup> {zfactor} {lattice|tin} {resolution} {value} {intensity}
; <surface>
: a grid layer or TIN
; <hue_lookup>
: specifies HLS hue (from 0 to 300)
; {zfactor}
: 'Z' expansion factor--defaults to z-range / the larger of x-range and y-range
; {lattice|tin}
: the type of <surface>--defaults to lattice
; {resolution}
: the density of fishnet lines--defaults to the smaller of x-range and y-range / 25
; {value} {intensity}
: defaults to 50 and 100 (maximum intensity);.
<br style="clear: both" />
Multivariate isoline maps can be created by display of multiple isoline coverages, with each coverage drawn with a different current line setting. These difference should reflect either the differences in the coverages (nominal differences by differences in hue or shape, for example), or differences in importance (the main data can be drawn last and in a large, black line--with less important data drawn in smaller lines or grays, for example). For fishnets, multivariate maps can be created by use of hue and intensity, or by RGB encoding.
!! Ratio Data, Nominal Data and Ordinal Data--Surface with Hue and Intensity
<div style="float: right; margin: 0px 5px;">
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig92b.gif]]|
|''Figure 9.2b'' SFHI.aml Hue and intensity shaded fishnet surface. This AML can use either a polygon coverage, or two grids; this image is a polygon based (compare Figure 5.5a).|c
@@
</div>
<div>
@@border: 0px;
@@margin: 0px;
|[img[fig92c.gif]]|
|''Figure 9.2c'' SFHI.aml Hue and intensity shaded fishnet surface. This is the same AML as figure 9.2b, but this figure is based on two grids (compare 7.1c).|c
@@
</div>
</div>
Surfaces can be shaded with hue and intensity to show nominal distinctions with meta-data, or another ordinal data set. This AML can display hue and intensity from a polygon coverage, or from two grid layers. See [[SFHI.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/sfhi.aml]] and Figures 9.2b and c.
''SFHI'' <surface> <hue_lookup> <intensity_lookup> {zfactor} {lattice|tin} {resolution} {nominal_vat_item} {ordinal_vat_item}
; <surface>
: a grid layer or TIN
; <hue_lookup>
: specifies HLS hue (from 0 to 300)
; <intensity_lookup>
: specifies HLS saturation (from 20 to 100)
; {zfactor}
: 'Z' expansion factor--defaults to z-range / the larger of x-range and y-range
; {lattice|tin}
: the type of <surface>--defaults to lattice
; {resolution}
: the density of fishnet lines--defaults to the smaller of x-range and y-range / 25
; {nominal_vat_item}
: specifies an item in the hue grid attribute table other than VALUE
; {ordinal_vat_item}
: specifies an item in the intensity grid attribute table other than VALUE.
<br style="clear: both" />
!! Four Ratio Data Sets--Surface Shaded with Red, Green and Blue
<div style="float: right; margin: 0px 5px;">
@@border: 0px;
@@margin: 0px;
|[img[fig92d.gif]]|
|''Figure 9.2d'' SFRGB.aml A red, green and blue shaded fishnet. This AMl only works with grids; polygon data must be converted prior to display with this AML.|c
@@
</div>
Unlike the other surface draping AMLs, [[SFRGB.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/sfrgb.aml]] only drapes grid layers, which are linearly stretched. If polygons need to be shown with this method, use the polygon to grid conversion AML discussed on page 84. See [[SFRGB.aml|https://sourceforge.net/p/amlcartography/code/HEAD/tree/map_amls/arcplot/sfrgb.aml]] and Figure 9.2d.
''SFRGB'' <surface> <red_grid> <green_grid> <blue_grid> {zfactor} {lattice|tin} {mesh_resolution}
; <surface>
: a grid layer or TIN
; <red_grid> <green_grid> <blue_grid>
: three numeric grid layers
; {zfactor}
: 'Z' expansion factor--defaults to z-range / the larger of x-range and y-range
; {lattice|tin}
: the type of <surface>--defaults to lattice
; {mesh_resolution}
: the density of fishnet lines--defaults to the smaller of x-range and y-range divided by 25 (half of the default resolution)
<br style="clear: both" />
;B : Bertin: [[1.4 The Means of Visual Communication]] ;C : Capra: [[1.2 Metadata and Uncertainty]] : Carstensen: [[1.5 The Methods of Visual Communication]] : Cort, Rowe and Philpot: [[1.2 Metadata and Uncertainty]] ;D : ~DiBiase: [[1.1 The Principles of Data]], [[1.3 The Idea of Visual Communication]], [[1.4 The Means of Visual Communication]], [[1.5 The Methods of Visual Communication]] ;E : Eyton: [[1.5 The Methods of Visual Communication]], [[2.2 Classifying Data]], [[3.3 Color Bivariate Point Symbolization]], [[4.3 Color Bivariate Line Symbolization]], [[5.3 Color Bivariate Choropleth Symbolization]] ;G : Ganter: [[2.1 Classifying Space]] ;J : Johnson: [[1.1 The Principles of Data]], [[1.2 Metadata and Uncertainty]], [[2. Producing Maps]] ;K : Kapuscinski: [[1.2 Metadata and Uncertainty]] : Keats: [[2.3 Page Layout]] : Knoble: [[1.2 Metadata and Uncertainty]] ;M : ~MacEachren: [[1.1 The Principles of Data]], [[1.2 Metadata and Uncertainty]], [[1.3 The Idea of Visual Communication]], [[1.4 The Means of Visual Communication]], [[1.5 The Methods of Visual Communication]], [[2.1 Classifying Space]], [[2.2 Classifying Data]], [[2.3 Page Layout]] : Monmonier: [[1.1 The Principles of Data]], [[1.2 Metadata and Uncertainty]], [[2. Producing Maps]], [[2.2 Classifying Data]] : Morgan and Henrion: [[1.2 Metadata and Uncertainty]], [[1.3 The Idea of Visual Communication]], [[1.5 The Methods of Visual Communication]] ;O : Olson: [[1.3 The Idea of Visual Communication]], [[1.5 The Methods of Visual Communication]], [[2.3 Page Layout]] ;R : Rejeski: [[1.1 The Principles of Data]] [[1.2 Metadata and Uncertainty]] : Robinson: [[2.1 Classifying Space]] ;T : Tufte: [[1.1 The Principles of Data]], [[1.3 The Idea of Visual Communication]], [[1.5 The Methods of Visual Communication]], [[2.1 Classifying Space]]
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
R0lGODlhDgEVAfcAMf////////////////////////////////////f39/f39/f39/f39/f39/f39/f39/f39+/v7+/v7+/v7+/v7+/v7+/v7+/v7+/v7+fn5+fn5+fn5+fn5+fn5+fn5+fn5+fn597e3t7e3t7e3t7e3t7e3t7e3t7e3t7e3tbW1tbW1tbW1tbW1tbW1tbW1tbW1tbW1s7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7OzsbGxsbGxsbGxsbGxsbGxsbGxsbGxsbGxr29vb29vb29vb29vb29vb29vb29vb29vbW1tbW1tbW1tbW1tbW1tbW1tbW1tbW1ta2tra2tra2tra2tra2tra2tra2tra2traWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpZycnJycnJycnJycnJycnJycnJycnJycnJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjISEhISEhISEhISEhISEhISEhISEhISEhHt7e3t7e3t7e3t7e3t7e3t7e3t7e3t7e3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc2tra2tra2tra2tra2tra2tra2tra2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY1paWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQjk5OTk5OTk5OTk5OTk5OTk5OTk5OTk5OTExMTExMTExMTExMTExMTExMTExMTExMSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSEhISEhISEhISEhISEhISEhISEhISEhIRgYGBgYGBgYGBgYGBgYGBgYGBgYGBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEAgICAgICAgICAgICAgICAgICAgICAgICAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAADgEVAQAI/wARCBxIsKDBgwgTCoSgsKHDgQwhnsLyMCEEJDAUorkUsaLHjwQ7gqzYEYLIkSgPnlr5auUpQDAiloRIc2FNBDNtCkRzCo/MmzlxAq2JAQ4akz2H6hS6VGRORJ+cImrJ8hMeFE2VMt0atCSgU2C6ahUrEAikllfHqs3Klum/t3DfPsu4lGvbk3UFfvp3C69OpzWD4kRj7xdDqGTt1hUM4RUenRiOxYV7C0Ten4q3hjQI4de/S3kzMxWMAMq3uM9wrM2cWOxbd3DAgEHk7h+ijhhAgMCAEPBADCh4h9SNYG/fhSBQWD4IgnRJGHhe1TaMAMsx4a0DQ6KomSGIY1C2Rv/+9w2N7Ev2/qEhCLx575sCdWNH3twzpN/JhReE4J4zTQy3/PMMGniY888n3a2WHVtvfbNcY/+cshAWr3zzzS1YeAfJKUiUdcollsHRExjHfPMLFBGhcMk31+BxCl8CQVHhN89AghUGG0KBxzGAfHKKagig4COQEcFhz5H/UIfDMXSxBh8COJgDB00d4fAMVjZB8Mw/x0SEwZaILITGLxa+0iFOiIAlkJCnZPQVgc988woQAwFxCo1oSAaJSWDcYiGPlrEJBCLHuHgJlnYeShAKBk6JACD/XPOggpTm9ZY5QKCAAhLX2PMYAmDU5o6oYCAAgoHrVfePOxnt5Y457qT/9w1WIHhmjzm3wojDaa+mdwoEGJx2TKyAnAbITuRh1REISADxSpIMRcYdWTMxBERqmg0Exi+84SbZXJqCgWt4EACS3qjkdQiBnmUdicS65L36FrcIwLDlreiCBoWoBv4DCAQwTPePOXikVyoCiHDZ7ZpDCoRHpMsJtaCTf1GJAFzmfAPrgbx9xyUQOAR4jG6npYrFwFi5igcMRtpT6sOwQffWLY9GmikkKINwzaqXoAHDi/TuFVWWA+FMHQRJtTXafij8xFBEUAUm2a0aH3lbvae9ggMSW75ikmRhQpkeEJ0NDAYMCbtD5yXknc32P/ft9QsOPwsIAQ61mYPI2Z5F/1X2sWzVemC2Eye2NEEYZzxdRkDEyh0SsSIBQsk4nWxO03J7VzIEAf6KAAae0QwEGJLjwLY5MGCw89Cg2sOqzi4fxJDRUA9duGgQOabZeLeas/EnloGxKpBokBeTfQLh4C4CkiEotj2S7xw2CqeBhgQYQICAw7PXYBCwvwNBKikMsNKJmUAwBDjXZrffpdSlmaIQcoQQCI/6mgaCMbl6AlneKoymKlmw/uEoBLyIZhBAwyuuEatVpW5nBdSZeoBgD0kdTiBso051rhOYC4oEBFhY2E++Ex7IfAsGyuGabWr2DOFQ0B5kAxtO8PaPdyEPSrXBSG1KWLb7gAAOZGpg9/++V0IEAAFXSCjecbqDhS3dAkgJcp/7zveTBmEJAcVzkP/WdBr9UU5VlyvOP14RHwHu7FMQ2IvXzOWOU8ABUqiTYAEhwLZXJIwjQ6Fd8tZ3PoohAVP72SOWZAKvZ3QkYYaB1DOW80Ky3VB5MOxh8moDhIDZY1p6SiN5eraXIcaqiJyD214egxkMACJWkJiUBytFsY5cajk4ghgNDwYGd+3PUQ+7n3HKqB4I3aJjTvzSChEABweqjoBMgcKtOgXKpWTQS+CRol0ap5rzbUs/QhkPB031rF+0zh1ngtQ3YiIZ0JQmPR1i1/OQIEw8RglujOIfAnDWPRqSSyDFvIbvoNj/kZb9K5CHa1/FsvIWe1DlFunhCIDIY5SdXUeYzwADHE4TRjVqjn+1tMclwPCiMYJgS7+Q6M7coZwzEsRjEFPM7KC1kJcAdJXxwYIqa5cTeLVxJb9Ij08keAwwFGiMDHlWedBwLxvCbZI1rJk79uYZeBroFVgAhIE8aY8iYm1m5/voql7ho1MgYj4XpJhK4RORybzmFVhSIVy+Ec70/MMeW9IlUAOITAx8wq256kvBCjpSdkJQJwk76mIwyFKBRA0zNX0SYnW3O8lMxhwgEggYTgOXYwApVAV9hrskuU5TBeg1BtrTXl6zs1kRMUsdLSBTGmfWFirldoh9EhjMM1vZ/wABmzAAxCvsCMWitAQOMEBDCI2IhjNBAAtnEwgGFDiR63VouS1BAwpkExPkZqQjkINeFBmCAzDcc4MLE6uXIrYVEm4GJ1AwD23BgAORDOoWL7li/U7xCpjIxjLpBRIG7uud6HwCClDA3uf8i4XugiE4991K8e63lOnWlrYoGqvEKiUWv5x3Ib7J1kv9IzuHMKSWI9NKIJdEl8Lp1iSbsZKyntRhsl6Ywy2GsUJM8jDPkeY90mSMNM9ruLBWaygZDjLRfmYgwDnNYt7iTo4FAglD3uSaF/5xWFv52sFG0S4MQYJ0Yhflger4yoldDVvCDNO1UGugA9nVNSJ7GQ4jjf+UlALDnupyWLGO9cxoJvPEBoIFc1zjqwHtYJnL/DQ0DzrPSyYaor1saJkoJ7aBFgliEq3hpzG2yzsmM+EEXeglP005POa0mRUtXisnGs8upnKg28zozFhHP3vudHyiOeExp7rUsd7xphdNRUGLpteQpnCVLbboVcf2y8GeiZWuqyBEKNkmKt71rnsNZkzb2tedpnaYUe1jpSXWN6jWdK2pbWwrQzrZv6H1glQXNpFAmdTb5vWwBdptebdawhVDt6mLTe5j4zve5Ra1nRvzqR2DruAyiZqpz33qhud71PYW6IIYHupr4xvb8241nhPzFUoThyuXdni/Ba7qUksR4CX///KqWf1vgcv65BrHOKF18m6YD9S84864yUfu8J2TPNzWRje4WSl0Ya9c29JctqcxoploD/3aPD860SmNdJ9TPTR4aZ+4J37vqlM5Mt+lGLs3U/OZSx3qU+f3sM/e8pxbHNhpn7bR9a1nFiMNcHZuXKoOybqoU1zVEpd5ytVebLPf+OoxF7m9TV5rhWcHBPoDORpfCnCuMx7oNme71lnZ9bkj/u9+d/GrIb4ZnNfa6pYPPOHbHvq3c771EoY9xVWfGaUPvD8RcTrldQ74uMse7Z8Puoj1jfrga97oYMd0oa8VE4LUnPgo37jvjX/8zDO+4pfvvM2hb/SWGtnXAoEc/52Y4vjVc1/72U9/9Lsv682nP+DFN7vVEcY6fOPgE03CyaXrDvzeI17+/Pd7hnZ95qdz7nd+6lcd9BKAOmFe/Bd7EEd7Arh+ijd/1ed/B1iAugYl62NnKXYl/4eAIkh6lneB0jd/Agh/qaeB/md6YBZVKCZZ9JJ2rZeCD4h5Noh+mjaCwJeBAEiCLvVrTOZkAzFp78eDOciCVad6PIh9PviEIShzRmhrgHAcllZwxreCUZiAOhiBW5iETTh706cZo4dvyXFS6jaGWniE1BeGLidmSviGFZiETmJ790YTuseG8aeH7meCBkh6ftiDnveDlJZ81NIsHVF2eriHTMh+cf+YeIPHh48Iemrofbf2JWFjWPUngV74hY5IiBBogW4IiVpIh4IxhbGlOsdyhY8oiZ7Yc6OogiLWipS4fVtYaliwgHmGBeNnKtF0EpyYeY0Ii7TYhbaYhci4iIlhh8FGENF2esGojCQ4jaBYeXBYjXIYf9EYZg6YZxiwMIoojbdYguRYjIH4dMM4geYoXkEYabdQQEYYi9v4iZEIhhp4g50IheOoFKi4FCDwjgsRcqY4hihIjfZIiOhIg5O4joZThrEVXMKBcwO5j8QojObYhIJXioMojnXYgR6kH3lIkPNokSR5kCapkNiYku9niOAHLM/HkCJJjfX4irCXkfm4kSP/GVDteD4wYCOm9AnOI48xWZEz6Yo1WHHpmIwceYqbSBPipyWwsXY5OZJ9KJTnaJPHWJVD6SS5GF46AQTXEBN7USr4SJHiqJUqWYsXZ5WjOJVawYwF4T1ZZg+e03ZLOZRoeZIEmJbGaJduyRTdSGr9Yw9d4oRbSZWfqJdJmYxoeZdNsZMFAQNnMhVo4JV/6ZgpSYHaeI2KSY+XSVMdBAldQnAxiJmf2YYXeY9IiZLqaJYNuU2YIZr8QWumMpGmKZUGSZMVuZinuY92uBVAkCEkNhBw0Iu36ZqoyZdX+XOD2JuLyJJ5UXOQUBnCh5zWWZS8yZm6eZxnaYl18Y0QoHCS/+Up7XeY5rmb27mYXGibl0l/NfUJHMFYT3MKYcSdzumD60lpWOl/9hmTXbk7fwad9fIMxnmf58mIzQmIbHmdlwmXn7NRz5iIRHKgBlqB+VmQRkmheDlr3/UTZfc0QsagGnqMF1qCgRiK/TmOkEkQ5ccZFZqi/KmPHqic7Dmi5NeU5YIFSdNBOPBsMPqiC0qj2/mjcQdekLFmaYgZXMNsItqkXFii2umKROqbTFJex3AKx7BiFTM5dQmkNlqWGKigqemkOWl6T8MyM9gVaOAOBzOlbhqMSLifXuqkOBGEklZ/igE6YTKnb8qaPXeifJqT4hktUPALk8cWQDBHX7qo1v+JkTBJphtqpBFBQeA0aMCye5CaqRm6qX2qqVXikQiABMaDqSURqIzanXtpqp7aQcknFCAwnbAmcMuFTaraqTG6dsppq7QnEXjHXXsKU7jxC3t3qrWKn9xWrMR6o7iRXspHJX7SJMi6qiR6rMkqrUJYhgiAB9fAQ7h6RE1prdEaiQNXrbqaZlU6OyTVrH8BCBwUru76f+UqrTlhenDwCWDVciAACLEKruTamCr3ro0aZe24GyGaGRgAjP2asCR5cfE6pb4xaXcjZsjGrxSLoQwLsMcpa/8JApfgE7w3EwVWsRh7lAprq4qhdMqDp5iHMF1asiPrsjALib4YHqGCcLj/yRRGkioiG7OLmKsv22i8+ih4YBkpCAKf8H07u4Hh+qgNq3qIcQpWhasdVqEWhqnStrQ+y7PlmIswUCgrlhjf+I27kRvfSK6fI7ZhO7ZagQHddQkT2rTVCbcUGRRWAgYMhHfXBgfXcA3PsLd7+wzPcCarSkd+27d+a68VJ1VvoWRLW6NJm32RgaXfsIq8hgRNBVe/0Cn0M2MpwblIdQ2URSOrYj4IYR1vEXYb1rmhwWJ2p7XEegru8AloMH5eR0ECshtIoK1qgxPgqVwH67tkW7ZnG7wHi7ZhK7YnYS6IAAIP8xnMaw9zBgGbggRNMxDNC0qSmT0hEbaVpFxbkz0l/wGem3JbBQECQIAEOIBN9dIs5FWej/uikOIoDGi7XYICEbUkeJAmV7pfp/ALlhUkt/C3fPsLWIEIhcu3csa3fIsIv9C3zzAlMtEjvNG89wEBkMARr/oNR/INqYRPp7smkIArhBkWGDAVx7Bb7jAXQHALBgJXRwEqn+C/l9ApbUS09TMsA9Mm8QEJGuzCWee6mRoRWOAOUPC7Zme723pX68G2lNVCo6VdwuMOJdIgOEA9cLUlb4EHdjsvUIAI6fELgrsQwtG85mQSmhQh6BEhvFFM/4AiSDMwU7EqUGC/ZpUn5MHAA6Mab/NWLfEWgLMvAoIIT2USrrIhq3IwVim37/+HBOXxC9AqYkjgVnCByEAgLLnxIjCEADMMBdeyKusBBeYACEKSHkNDGJ9xTlkqmNn6FmVsRLVxHW98ScT0VhShTEkCBUYCVFYyMBuBCLuyQmxMEa/qxwBjIAgSSkRsQORhvq+cXrVBM0z7sxIWKpCwu6Vmu5N7CvawHk/zLQwBKZEEAihkK4DDtiWcHtTpi5GiIvL0wxTMFMUzODUDzB8MKW/lO6NCLwFiQTiBBJcACZ+wM//AHfFMEfEUFfsTRnYyJc3bO/ncl9JMewnzCa+Qf4lBv1ijs9rEG+A8fiDwLHDDHxGxV1kqvM2LCDQSMYXWEWQMEWxsTi89y22syaz/jAM2jUIMESAOshB4oMHX4FipUtBBYiASEk+zAlhv8Qk2bdPyBcRvSp/fKmH0axJzDBHeXDOZbFdvcQpsewxTsqaRkr4+whswsDNHYrMH8c585isr9Q+PwcbhEc/OUxoRxj3LATlJAgLx7ChCfdDqbM0oAAcg9BZkFCPcqshe+h2fsEQ8VxSy8i5/4RnfIFJvJdiQICtooLdV1WdvBQl9cspM9hbXoKXjJiSEXb3q/A2VFFe39TaAkBw7Yw4yFSqv4D1xBdnxfAso0FGIoBw44y8YMMRJghX2DDzbQ8RaxaYgZA7Q/L4KuyTWAQcTgwe18RpYiBP2/BqvAQgC/Vai/82xcIFXFMFdBnI1ZIUCmivaUGQaA2MgBIMwkhwmWMArnQIu3T1OV9U7LQxfcOEOPQ0Xtf3RDYIrc8Ypb8VA10C7Tv2ioELAgMt9uQsIeIAHgEC6EcG8t3ALgJC7FD46Ey7hEk4RQPDhFI4HcKAfH8VgifVDEj7hQ1sl0/kLlwDZHD7hJYQDDPwLMDFgJQ4HiNK/M65lrxBgJI4EbzThYWEqcPAKv/AJGZJmiHALv4AITOrc/Pq0GrSBqVuanSskgHDZrYw7Tli1+0HmgmnmZd4VP2zlDqs7Nv1yK/tyrhdW2f0NUASsLPdwfVR4lSa1A7jg5IpzqRO3/naz+sYpUv/cTAAlhit3gVhmbYZutREdk9GGAiuzlzD2dFIrP/f6OSoth3+nYb3hHsCIAmQzGpKZvqu5cIDupFB2V1ZFbtOLBLRO66pubhHHasFdhbW96ozeRyiABogACFAgmdbCE9t6XvayVBd+CbgSuybxuz2G2NUaNcJ0qEphLkeSHulhDscguNnGnI2ePP3SPWEacFl2L65jIRnRUQNdMcKTUnREHs8yMlH+6UrD5kCqO/VzCyobVigQWHpThXLRH6qLY+h1Got08DiG3mPEyYLMP3UjywZhJZN7UfbKXuhtDqokhPrOqBL5n3LXLlziHWY9fhgABV/uM08DHEBANvyxNcX/CwOVhANwgAiV6Yw3b7rmHiSzsTcPoj2ZElUvX+uVZPRGLFlvUUB95jnxDAZYgAhpwbtJpBqQ98zZ4ywDgwXs5G2G+fFmyYElxnzMabuLhAGMnCxBos3eXR71UiJSjCPfMCqZUiL2YCHcfgnCMVmvkR6upVZfnBFYoE9wlR6gu+0cLMKAZBPx/A2ye1tYQNAN0kDYAgWgG7ugUt23AgZYvCpsdX2OS+00Ry8Y8BK/MC33ZrsVxECejBO/DQmWOzDUC9It9FPQ84/cPuQB4g6q8cvfgAVoMFUH+yzmgMvpcSxQgMXy0lOnsc0ogDPlAVZHFBfe3tseLCA+lR5hggSO/4UgIADKfIEDICQZxX/rYg72MKpw7LajFGe7UnwMI5VK1DOq8e79W8JBv002wmRBD6NdgQUQgBBA+PXvGQYEkMx9AoHF3b9LCBAAeXgKBhgcCAD9+wcHwad/eCQOHIkAzTWOKQ1mRMMRDAIY5v59koijokQUMmlKPPXvG4iREIJKFDq0aFGSRIcqZZrUKVKoS59Kjdq06lSrQSG8EjnwExhAp5geHQvE3r9jICCggMQREI6zByc+PIaBoEGhG+0hGVhQrl4kEG5xhNL33zWEIAC9eiYTYs2HEUfC+PbvF45vz4AmFYoCCAowl445/icQDmEEOWd21olTpliJr3yiKP95FQJSrLltU+Wd1bfu3sB9gzhWeOBtML8Qch4r0SzaokjO/qKIFuHzY7ePGUSoF8jA7XLx/NuLYLC9wncPQsDz8BaiikJhRHZ66Z872QLJSkT0LSMCDHBA5CyaWvoHC5haS+0112YaSTZzNtstuAmFs7BCDCnUMCscnqGtpA5h6A0p7BBi76xbUHhmNpMI1I47CBAhjy/1upsxIY5EgmA7xFT7ySYHEQASkqGqs+ebD51CAAt7jvlvrpBM4ghBFB7aSbWdYvoHNgh6QhKH/64q6cINyfwtwzPLvCo5E1EABAQMirMQBpDuuwSSUx6yB0E8zroEi+3cSU82dy555SH/iHCAQyZz0MBhu5lQwAGla8AY8D48gKjMHTR6MggOHCCJK7CgPEWENxAoBQQJLPzybLAtBYwLCrbOugYLFC79BgyhQLLnlGuUq01NYtM01kxk0RwJkZ0QQMKd704RKE1A3LHHWnuyNecYNITCABJEj+xWIjAcc+cZd6z95Jtr7fnlEmvTRcPZFf8x55t4kYCPvGtusfWSbK19BTcmzXmSpKM+MWfFs9yN9tp0AWHX2l/giNddMNK11kMEyuVo1/1yS7bYkY9VNsOtuprIP4247A0EIHCIWWYwNyMKCDgAAUPEkoDAI1MQaJaUZhg8o3kzENDAAwlJY7YLCkDQQAED/yzwwGHomHleCwIsHkN4zInAaOhnKNqMGQgggiYa5rVlnlkoCJCIWuulcCv57pNJzrsp4oyDIECE2CwT7KYIt5twxKVKfPGg8PjmlW/M+S4quBm3/HLEd9sbb707N5mpEAmH4RkRN8etqpD3q9w31Js7E1Z7IBFzTDRTH9F1kTn/fHfd7xYcJxyE6pt3yus2XvfWmWsKiltugWO54ldXXjjbWf8NbNM97z37rJhVCpJfipJ22Otnt1t18k8PzvXqOav+8JCnR/94+bXnfnv71eSqJEieKYpZ9WUleWSZUADFRMDb5Y58U6lQ/abnwPtFMH/EK1ZRhjcSKPBKKK0ykf8DF/hAMyEQd9bDCvriF0DmvK85KiQh/SRIQRj2rkMokN5IQpe+40lvfgXkzQ5JOEAcDo6HIbzdC/EXQ+4J5XdEWQ4CLgjBwimvfScsnA/Z50IsJs9YWuQi/ZA4wSPebSRhYQocPnGUW8yri1K8IvWCWMIfYlFkBiTZFxdoRDyCUXMaOWNQbhG+49ziJbizohVLBsQ2QnF9a4RjGO0YxjweSyJkJAkGTjEvovziJWssJCET6ElFcrKHVdzdFAcHST2mMo6A6KNW/IjJULbRlCNkISI9qKxb5tBz51MlKh85IUryEgOCbCQbjTnLXCZyfsmkIyNtuTde/rKXkWQOK6H/Age+ECWNcuxkMov5TFAOcYTeXCY07zhNdEpzki7DwDX0MxBB1k6WoHRjHJW5xWPSE5zq9GU/JWjNkcRpWvDE5BC7aU57GpOculxoQy3kUGpGtEyUJAoOgAI3Ys7yoDA0KEMbikh59g6i6fSnhgB6OABts54bLWUC94mseeITebTjp0RrOkbYSAQDQGiiYHi1IZYitJEvDakhO8rRc95UqfgDqESQwLJAFtSlMRXqPpF51HJOFalyLOlSN9cypTzrScMcJBHzeUitKhShRk3rV71KUiOSpKmpeRPCtlnUmJp1qB5d6z0T+kKbdlWkwUwfMdF6Vr1a1Y7dXKn24PrY/8XKtZXHgYom+6pWoLZVn5lF7FEPu9m3hvahhIXDKzooGKm2tLOc3atfzcrWv1YwqYINbN7mKpomknW2IAXtN/naW6wCV7gtpC1ke0fayaJ2ppiVaWuZ+1rXErWOtTWuOef6N6UQpKyXvSpXszpSqqo2rtQVLfcIC7ZhwnK53QVtLXeZV89+lbzFRepcoTAujA4yicNlZmzFG93fqra6A4YhYfsHlbtGFrzx5S9vP6pgAtOXiE3t0sAQpkkFs7e/zuXucDWsRQnPd3MUhcDVSpJeVX5YptJdMYBdHOII5/Gkhd3kBFXc2BcH98GOvDGMl0riomlFpUe8MYPBe1b29v+YjuWNsUlbCYFndCW/RN4qhxvM0O9aWcBXZrJoKdrOUwV0yICtsmLXm2MuP1DETabWk7GZ3YzauMwBVnJ4W1zlI695qWBV0lEw7Muq0jnDaM4z9tjs4z7z8Si3OXE8Uyxb/9YZyZyNpJ4RLSaK4uAWdFMuoCGtZUkz1sgw7fKli6hop7rjYLp9tIDNvN/V+levhS41Nflc4l+UTptqPLRGZY3X57K4nrXuNW8obJfa/NnUOA42pQkd6t0Wu9TnZQqKpc3sLAM72wEWo6W9bbym4gAPEoKnfq/96vfGWsvdPjebKQoJxDQalt92dZpZiu3ptpvYRGElSRAhLLvWeN//ibW3nfG95WUnvChhKQoMwrRrfQ9723eeeLPvrPBDz3VY2sV4cyuu4yRDOOJ6XnhOUaBriA880LQWtWZ5N/IIS/Z/gBSzwDvuW5bD1+XLvfl8b30J/3FmzDAP56AtfvQGqlzalTspGOBwOgzTm+A5V7ewxUnrnteRouRjtdRh/fVni9zrxaYw5Ryt9K2CHekFTzTaE05JDHwFN9Yee9rTDdt1y5foXc1LH8FsFMO6/bKHxbvVhbh38sL9kk5Bcd153uEd3y/r++57UZAN5+0i/pOQDznPBS/trSvJ2p+nvM5/zVrS+7jyqYGDzaY8efq2/PTNhb2lKfms7yRl9I6n/3fhuc17zSsFoEgwGOBtDvwu+57QD5V07ScKGwwgAXqZNHfqe+/hR2Id+SPTOOPP7vzkY9/z2g9+buAOg54S1PpLFz+s109sgILhGihPaVnBH/v2p5vt928gJYGuugR7v2XrPMkTQJ9bPSx4OqjLPAMkMAJsNf7rJT6jKfUjvwb8r4tzqwhUKqbrI0Zzn6G7QPyDLjxrvu3DJUpCg0swu58SwevLwE/bwJICqAMbC5U6QfaDwS3DwWmDjesqNwuUwZA6OHZzwUc7qenTqRssP5JztuzjQfoKPQL6Pih8QSLEpSqErMqDADDIPaFLLSHUQif8LCMMLTJqp2lBClYLw//3g7ZoK0O86TcMeAZAMDteg0Pkc0M8JCkygoDPsArDysIyFMQI/MHssiwmDL7x2kN+6kMYqCG6S8QLlDwTlMSp6DdNOZjXY8TJc7/9I8SrICPca4rGs0RQjEE2hKR+gwFESJKAM0VYpD0UOkU7kkJ5e8NUpEVD00UjOin18amvycVYbDslEcatIiMcsIhg5Lg34sVhpEBnjCHJ0ghzcEWM4rVoNMap08b+Ews8OIWQ6TpOzMbZGUc5gwA5bKIvHEZy9KJ2lEac0hwqZEd6JCVz/K++mwgsqBw0AsN31EZu1D+wEo1fjLOAvEdDQ8ghhJt+Q4TsIMUQPEiJ/MchBCv/GAAC1Pm+iXzGemSqyUqhiKRISZzFjhwxsUAB16u5jbxHklRIYmElDPgFHbHBeZMzwynJdGrJlbQQVkqVNKyNV6i+cswcxQGQIHM7CiTKgUtKkZQphgME41iK+0oqnIEDq7RKNMACcitGAbkFc3inl5ugpLlKqRkJFLhKOECDDhIjx2pK5KGwPtM0+1OSPlEJjmiSbKJAh+AIIpEks7yom4yirEABlEgJj5CItkgJjlHKpCQKEFALpUw6nDxGsYCfgTgFezAHKLAdDICDs9gVMICUX7CZPgODswgzzLkNxzkGnhHMxnyKDkkJC4uTlMg1aAxMrTiJa9BEppzMfmKl/2TkNG1al4c0HuzYoLNQtdTAg1e4hUvYTOd4iFOBArREAjS4yowAgdI6hU9wh3v5jrNszj+BGxi4LyiAgku4BUiwxpL4hWuxFxF5FkSRjOU8hVdAhP+AGTBAAyC4hE8QEQzolFdQmHspDBD4xvc4mGLqTZf8HFaCAuWESDBAAnDEnePsmOQEk+04kvtABISAi38gkjrpUEixB7XEzMzElEeEgYJIUXeQHRi4huT0ThQBTDj7hvPwCPiQjSBhUfKQiWsojE9oGESRHYDhUHtAhBUtCO/0CQRZULe8H1YCAidhoG2CTHUsiue4BjjoD464BRDoCXvAAxQQUwR5jlMBgf868VAIdQcwoJqzAAQUGIxroA1fkVNfEZt9iR0csA97yD2o49KzOAUQeIZj2IjH6JL7wIJJQQsQAIN6eYZrcIeleYj19JKMAAk3jU3N8EvfRChrujwbtD84QBCyeA7y+FGL8BHaYJJ/eAUoCTMgkIlbgIDTWEEEGI/y8A4UqIxqRAAoQJHbKIh401XoHItf2E2U+AY0SNLTcBAtcZdb0JPveFaxwUgDQZBs7VXy+AWvvJFTa9C3zKliVJEnFQqFOFfnsBUwgAIkeEQoqYuJOIvsQFOi6AlB+YUINc1/6Bb7+JKHkAsgWQ9iRYjx+Idsgrqf8BV8wRmOiIhg9Qnu/IT/S7gEETGQY5WOkIgRe5GZszCHia1Y+htKcQVVhkCDlBwIPBAWLY2c1pxX6BiTgb2O6Sgx6cQgerWHViIOe3FPc/AILbkGoKgOufALoDgN9Cisb4BTjjgIA4kIooWe5chWMbOXY4gYmz0MqV0ye9xJZWElh3g4iSjUmnSWawBUZ4mL9KNNcxCRuoTasyASb4EVd0jY9niXT3gLnSqI4jMQmriLeEPUqKysn0gVjjiVg6UJnq1bla3SZ31SBFiUZ6hYQMg92hSUxs0Irq2hKM0sVuqfy1s4lh2TP3SOgiCPT9DckciYf7gFifEJMOHRb8CDomjWV7UgSkEEPGhXntlL/9dd1rQRFfJABCgoTOpwChDYl1NAAj+1zsL8SgxgXToEGDCFVI44hu/g2WuABDxAAyiA1710J1EB0yCqIa8tFuDESKZAAW4xijEpT8e5hm+QX8iFGziQ0fv4Bb6Agvn9hsfB3T0JqNNNiSPZJDR4huSUk9GRXxztj2uQ35pUEf/9Bjgo3lco0/69hrTgQgS+j0+w0/mVX48QDLs8khEOzeRUxmV0zc7lna1DipVdS/IBAkjAgMe84fhBASSAAp5yzBtWi88gvtG1pCMxB0SxjOUAAVbp4bG9YQywYRx+ih9ODISA4se8PCWGguDRqR/2FoCJnCPuVCfaYfVtrWg6X/8S6klXTI1nyLzUQSkQKsqOuRd2sb+WuOCLRIPKKM4zZhw4tpw+LgkmybWLxAKUEOOEZKFPzTdWQoRaTYqVtdFF4japeFadXUuHMIdLsEr4sIcRnjM7G6JnWYi0RASZQE0Pup4g1EU+IkizbGNuKsbLCSDFuAS1NAowuAUGfoZXuGWJ2zwsIy6u0WX/fQbnkeFRQ2M36juw+MAYTqrDwYCiMRG4UWI4+BAgyNuUbczbcGLLpKUWcrA5GgsoDl2PU5xK5MQJxAlY1qEcSg58+QVEeAURAYRJ/dOB4NE7fCia+q7NpbhTShxfc01lzhCNi2QGvaZsuYVTqBeRwAOZwOf/reAI9ZLjhLxoEwrnYLae4kmhks24V/gTdmZA4DDcT0gMQLCHR24LfBYSSHgehOFH5EUBGurnqQFmjTa9tvu4gC7oBFqMawizZ4bSdUULJLgoRwYK7wBWQLgEi8CBV2jOV4CEXI7qFTzQxviGUwie6IWE+7yExyFNZwLohMK5WWvhEFoM52FjofSiBOEId7iGV8CmzZCRvSBh8oiZwrSHS/CYmcAA+8CPFdlNLVGJ8jigc9bpLKO6j6agb4RMhNZouAEYu1wIpc5rITmP75hVe6GhwWBTFIEB261hLPDVfzuFJPnn9lptj2Y7nUTrULyS9h22kUgarzyLlDgVu849/8CQCD91lIUBChm5DyOu2RrBLi7TsbwDI1xs4YVLIxgY6t1Bgv9cCyxAhA7OjqXWCMyeCFqVka6ok0/AAvLGgsnxi/QTPzPGadheOog2h9D0R3QOq0s2S5So1e1e6tvA17j+EERFTRx4xBr5oM5bb+LqJwb16aSQGJAd3XFmvBXZ6tsgvtKAAPv4B14BbPJowWdxi5Hg7GcIHv4Fx0KdDUUWJ3FGmT1r72MBBEGqlGbsjcQ0h1/4hddQDNz+2SHlCHN40mHyCV07kcOw8W/4jHpx1LHO6aorynQmRha/xA9miKK7CiioGGD5hoo52k/Y8lMAiy3f8qik7ormQsi5hv9TAM8v/4T1ZHLWSnGtsrUnr5CwQIK8ZD5yHogrxhxZ1qHH9OPf866wC0InX+QzaQ+o8ixZ3jjjESEUWvTlZu0HXHFCNxO9eJKFVGXEbnOMBnRIx0BHUnAL6Y8a/iwHq0QUx+klX76KbGwiIkz6hKmBVnIstEkDv8K7m3RxOo2+9KZVZjPlHjVPBHUxYV9JRYQz7ugdG/TE5rv84ydhn++VlRE+TuVkf21Utyme7vWujfNXBoP2qNDbVGxOB79sb3I45nZIVg5A8FBG32hSJ7py58DmnnT2nRc8OEwSdD8ejHdAU+2dlIhnBs4N08N9b3Yqm28FV5FBGg+VGWiCh3f/g4+reRfXyN4IsPz1Tyv4yHssc987th4JPFBSTs92s87DiJfAZ5duOEBbHNN3iN94dVoyFld4pajgJGx5/dP4SD/4Zwd4B4doyMV5UO7Ekxc7Vh92WC6JlFZdT185oof5T+/5yCYJOEBtSHP5Nix6Tzv6bl+eDxk8pzd5qJd4ri+cZ8YNKBDrMQx7feP3Spv4gKT57DIJqwf7jH/5nSczXJeKsx+TlPZCYHv3rB97Wgf1j28OPJg/wst5vG96CWzvvgedmnb8ehv8vH/8vT/8qZh8wq/8p7/87AP1yA4ZVrF7zxd70B8/PV991m9917+Nvl6cxfhj169927993M99Bd2XiIAAADs=
R0lGODlhMgIsAfcAMf////////////////////////////////////f39/f39/f39/f39/f39/f39/f39/f39+/v7+/v7+/v7+/v7+/v7+/v7+/v7+/v7+/v7+fn5+fn5+fn5+fn5+fn5+fn5+fn5+fn597e3t7e3t7e3t7e3t7e3t7e3t7e3t7e3tbW1tbW1tbW1tbW1tbW1tbW1tbW1tbW1s7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7OzsbGxsbGxsbGxsbGxsbGxsbGxsbGxsbGxr29vb29vb29vb29vb29vb29vb29vb29vb29vbW1tbW1tbW1tbW1tbW1tbW1tbW1tbW1ta2tra2tra2tra2tra2tra2tra2tra2traWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpZycnJycnJycnJycnJycnJycnJycnJycnJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjISEhISEhISEhISEhISEhISEhISEhISEhISEhHt7e3t7e3t7e3t7e3t7e3t7e3t7e3t7e3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc2tra2tra2tra2tra2tra2tra2tra2tra2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY1paWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQjk5OTk5OTk5OTk5OTk5OTk5OTk5OTk5OTExMTExMTExMTExMTExMTExMTExMTExMSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSEhISEhISEhISEhISEhISEhISEhISEhISEhIRgYGBgYGBgYGBgYGBgYGBgYGBgYGBgYGBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAMgIsAQAI/wBH/RtIsKBBgvXaKVzIsOFCXhAjSpxIsaJFXqMGLdLIcaPHjiA/igxJcqRJKVK0oEyJUqXKlixhvmQ50+VKmzJvxqSpsybMHCGCCh1KtKjRo0iTKl3KNCiEp1CjSp1KtarVq1izat1aFYHXr2DDih1LtqzZs2jTql3LNu2qg3ANJnRIlyEtiHfz8tLLd6/fvoB5bTJZsjDhw4ZB7py5cifMxowdS45MufFknVKCNN3MubNnplxDix5NujTVtqhTq17NurVZgXFjzy23kLZC2+1wX9zNW+JdjIkRCw8e/HFMnDxzKk/OHLnzxY5nAk0RlHoI69ira7++PTv3797Dd/8fD568+O9OpSKAuv5pewjv47Of754+fPvy6+u/vz8////++ceeawQWaOCBqL0VW1xz1ebgbXbh9deEgVU4IUSDETfchhpyBJ1xlUFmWYiYlWjcic0B9dmKLLaYlH2mxSjjjFm1h+CNOOZ4IGwLHtQgbkA+KGFvRFJ0V0YcJtmhcCf6tNxzPkXZ05RPXpaZi1hmyeJ+/eHnZZdgAvilmGEGOOZ7p8Gn45pstmmWgj0elFtddf3mF4V4WtjXXqMo6eeSIS0CmZNWmlgoiiQiapyK1qG3nVCNPiqpo5RGWilRlmaK6VCNqkfjp6CSJqCbpJbaJo9xItQQbnWVM5GdRfL/9tsmgP5p6yCDvFSZlFXy2hx0vjLmk4pFacrppscmCymyyyo7qbHNDnWVmWWeaW212JKpLZpcDmjqt+C6BmeqAzVIJ5D16BXRb3rmeSGft8ZLnEYgJnrovfZG9uFjmjmr5b8AU/cfjKEWbHCN4SascFuokjvbnBA+qNC6vsVaEayCbTSvvB8Ft5FkvVL5a7DAivxcS8QaBe2zzLLs78qX+kuUp1NRu+21N2dr884007fwz0CXNa7DENMVZDtD3nlnu3tOiOSGHHfEobAl5jvi1SKKSHXWJU8H8NdfR0pwtweXXRq33KoZ9NpAN5yquRHnZi5tEtppd6wYR5SRRsPV/1qYhiByDaXJJS8X+L6RpRwtpS4vHrPjMEe+VJqU52w5zzrjbDPZ97Ht+c9Dv30uQ7hhfPeQ7dbt12AaCxe1SMMRrijXsxv6GE6ERsnopMdaCvbvvPcsoNnEh/r58eC6HefDRcf9kLpJn75b3rQ8jStifmPP5NaDh+w9T/oibmK/KjMl+cstP944452Khvnlmscf5sBkr4cm8viXGvryRp8bPcX/w9MqxEBAAkqoT9dbhBiUoIQgKEENGlkgA5XgN45ILTGEuh3WUpKCGHQwCLUznAbFdzvFceZ8kEsfCh8VKd+lh3M2Kh7xEBCCRXhEDwRDgBT4tgglQIVvg1BC/v/A8hEhDnE1yusR3OR2tIcAUGnUMxIvQgCWTeDFeoNIAVggGEQigoQkgbJgxw5zOCrpaiVgSQHJuGeo3ImIWN5xnPrmuEI6fmZ+latZHsdGPxjuUSrcKEgMooImZhREiE8pyCCO6BVFMlI1+1Oig8pRD9uwyjYBDODpfiMGsMjhN0jC1SK/kgGPGNErYYTdBT1iwwQWRnwZhAlYYhDCDZ6RhIsxobNcCLzfxXFafHyfMOVnOQgsoiA4pEoICsKNqBRkEY985iNTk8QFLVFiRWNXxZ6oTdRtAiw58MvebKgFsFBwI6dEwPXECMbWtZOdHqmaZbKmqzSS7Djy/FWTUKL/y6TU8Z8qDCjvZkZIYPZRhjJaTxAKQgwYieGZziTIKI/oyGm2JZLWxOaqGKI0KHr0VRTT4ldWgaFWDiIHW2ylGhzIwFaysiQv1dgqgfiRw50Rd42ZZZUMd8t5xnIm/YJZ+noZNoL2zI85/ONB07bUPyIgkATJQEEhMK4csMek6cyfNC3KlmrKZqN0yg3FoPfEjtqtk18ZxJHWqbYarnOM6/xb62L61roK6paxxKcUdGpLrWGNRCdTnAt52UKBphB9MuMlsqYaTOHp8bFHbSxkGQuBQRSkk1NpB0GaCSCuVpSrasHogpoXsUsiraOqQx03ITIKsASBtR5RgznXqQYG/zowpotQA1Duk4EciAGIfGOpEsQwkpUykJbzzIFUvQKBDMQgCJSxpz73qVeb9BREcDwhUT2jWMY5hamT5Rwxhzm/GEolBwVZxVSUoEip2BCdYYGAHHih2X+0gxlZFIsSPjKWIoolBINgRn3rQY1JoFQsnwUtWrzKoLA677SqXW2EJSRSBGTgLrSC71fk4NIggEWMeohBWUIgBzHOViTplIkSMlCWFOCTr/Qk4XUxc9OVkG+oim0UQBErx6N094WUDTJCZ2ReahCkHSyuzzEJgtKIDmSiFjZkXKCszoKMJcEIkEM9YrMJtTWSINBUsFvIVZCHWbJ5umnaR1ObNLR6Zf8SGPEIFb2SApCkEyQVJot8gWjOkaR4Jiw2i4tjwteT0XiePj2USvrZY/MZdn1z5E5hncXHg3JpeEiNbKaF/MNDApIgzFDPVtdDjB619itLHsiVwQyWh/bom2DBspjJwmC4XNPBmsxkhI8EFi0IRiNyAMsOO5LOj5TzKxDIgRKUCxa3auTEHfHwV2YiYrQo4SYwlueuNEi1raEkqANVllC3+2P0OZbT2tq0ZDVt6anEoCCTiEoKkDmVz6qhIMywIS0MsldUWhnBEkX2luM05y8PJMyzfhOZVdU/57kqiiDNpJ2qjYAUVG8jx/YKh/2bVjmTUg8fybMaWulaPwu7JW3/vbYUlFBwBOSA0F9Bbk+dFKJuiwxljt5ui8o9KaVWutJMDbpS0Qam9kj5H5xdjxwKkoL9jProUGYvQXiB6n+HZdRaKAgtDhyDfRNEtl+RdcLDUmsflbZVTiTru6QHq7sE+yujYF2FU2ByVHNEbUF4q5t1yDdom1LYKknntWdS6H57Bbl6LSNyQBadneiSsMVq2aQPS3kfD9WoQrfK8DY/dJ8rdekEGeRTeEGQhg7sswXxMgKOXo+0Wj3WAffKJgoSaOYmeNRjH4toG6zRMy/EdEuTeIRPrfHB4HDaIbmzR8CSAS2ARAxqgD6HcVVyO/d6JTnIfg7OKO3Dw9z7jc8g/2AT3/gbj9u7SNlx5VuUeRiBF7Lgbb9+0obp07ybIMnMwMD/oYaaoZ4gq3BghzdBp5Rq/7BqB/cVQRB9YpBxXrFQrBZ2sZd7Y1F2cjE6pDMx75I0a9ZNfkFxOZAReydKHOcVH9FydKYE0xcoffZW3adDGRQEOZBnCIB4DqhG+fQhvqJ4j+E1/rQU5/cvkxdHlEZZRDdV7wd/OBNe9HM/UnF0ppd1BBECVPF0BlEOoyAGqud6BIGA/0BlYJFsYtAwUIZ7FAgWu2drcWNaDWFWHOiBeSMRb/dmiyCAMXBBXdRxuOKAYZEBQfBb7nRiJahDj6EEKVB7YkFLL1F41JV4bP/EK0DFIkTIPo8Wadq1KeLlPup2NkL2fu8BegMhVTzCC/OXSBN4b3FBDHpAgwbohQjHXGJAC1AFF2U4gWcIFhZYZmgHVhK2gZt0IauwRYNQe1owRj30YS7lQ2aRAcS1fF9BQVKTToxBg2OBgyqhU92DSyCjL2ckWDy2Iuq3ODyHFEZYjl3BbvIHdOp4GvNGEFoAAeVAEFpYhRHobwsyCrVnWV0IcE/mWvHYI69ohreIAGlodg7mEOrSdgAEh1Jkh3NYWav0gu40CHogBdQojM+mgC6FKynGEjSYASEQA+mEeIZXg4kmODk4c4bCaNylc402eYwTXvEnXknohJGVhJb/ZpMQQHoDsXUIIVVcgmUxMAr1BRfEUHX7eHX1mAL7NxDUsAohdnu2OJAIkIsM10QQoxtjhVqo9Yt4oQfIdkox4E5/13EvpRF6oAVNJxZ0txGzZX1fwRIj+RjYiBLS1XgoOUL4JCUvAW5yNGk51iwwaUeXF25iwxU1eY7uF2TpeG5WgYr2lWq08FgCqVCTMIsFIW36qGr8+IVwh0yIiHuVeYYFKSeUxIZnx4FbOWEMiRFqoza/RRLKB0YcoQUUtx7XU3Ii8YLYR0qWkU7WWJIyp208iCJ5KQUsiX4ueYnlcxSKyYR9pJNaIZ2XxoT5sUxH5o5kI3bgNAhF6ZkIYICq/5cBo/aP/xCMaSSV/UiVn7lw/zAblQRWbQg99LlNwEcxL8hcNBVtXiQo1JECKQBycSWA4Ul9MfdWeoCIL0FxIXAct2mDMPZTKSk7WpNdygmTROg7gCmOkhKYzUlQNsl57QadWzGTpuF1ZQaU9JiACKAGzMAMxACG2Lmem/kP+akH/8eiXKijCDCaFFiaupiBu3g3bPeG//MbYBkWOUCWHDGbDnhOrFRhAGZDCsoRqxgWK0FxEKByWkCgJolGMQdLE2pTN3dj6bec4Mico9F+1FmK3UJ/SeWmX+Jq6UU5FQWZ7YCCUjcQ/QaZ/8AMBadlOfoP5UBxYtCUtbie7FmV7v/5nrtIF0YaqUU6EeoVFoBoEsWGlmERA1pAQFLQcju0EV6aAdQxFiwxqsu1qd9XcSo5pnhJftIBeZJYiSykFB46OesWIya6mLp6FSHQlP8gBT7jHls1o/YVREqgBaOwf+2gJu2IENQgYAeBcEaGb9JqEAFZj+wJpAxXNFgpVhezmsG3Wr/xghmwn4NoQVlFFlO6EWBHFojYGFvIXGkkS2FKnMXZiI5oQrKKHnEUjh/aXRrqLyRqnXI6WTiphOt2Pzw5EM1qaZ9Vo7HhgKUWF+YJnlXGIAUBawaHsexpleUipPI5Md10n+HqgX6RpF6xpHalERJpQfn5XwLapGThQNf/t2hbCAFB4GVcWpfG6UbJcU8xsTsfqnMC2xke+qbDOiboqHnPuasj+h90+g+jgBWjBgGT0CPvenjfeWT3p6MQcHQF0Q5BsH/1QHE+mnvcGrIYGDHCZzfaFIeoIwYrFwR6gK4cUVssFRJyEAOI6BUh4HxMqgWIGLiDoLdKYIOZUXsQMGg54EEx8FwLCrkgFDhr1FcmEquXOLAuOZhFKy2aiJhjY6IJa1CcU0rv1WRg0mFhoQViWy6rcJEpgCr1sApUpK5huAhmOwksRlzX032tE7O3CLKOmpUjSxvSI0VllZAeFUpMqkqqZKXRpwZcJBxyIH3A9THR0UCVSzsxZrmI/3a5xWmm5fEZ53G+yPJjG9oUjLU5A+OJWIGT1AKnoetYZwEBIslAKDgWOru4a+FAXrqoa7G2xTuyDrG84+pREMcuCPS8XwQ1G9NOGLdB4BNj43eS4bONh3aqMoN+k+hLhXlYYtOYTuW06VZ/03lUIVqwAjx2xDs3Ils0HRhx5Kq8zts3OAxTHsM30/VX+kpzOgir2tilzGl5aYol4ygwKsy00ZmJKZw5JuzE8dvCCUfAhBpWrAKuM0yk2zRhGQNPYAzBhLFKI2FBFFxjhWJo9vK9Y5qcjRZu5PHGOpZYSCsUP1eiphunOVm/T1x080rFj/TCayifdJO8XZxaJUsxzv87UxuZwxyiwyczYz0sYzlhaGKaEkQLx5r8wY3Tr5/7xkAGnX44fXKwYujGq0z8WO7rx6f8x4DMSAR8a6T1ewDUgATUqbdcQLpcQFbECwpUQLMyxqbEUhCkPYnRQA00cmIkU9QGuSq3wSoJtLYDvtpIvpJ3zUL4g8wyWEVxsAU1lMD6nqMgenq8pq3cVPUbH+AyiEDDzqUiyA/mrWm3LqmhB3exd1ekw275jK4THH7HStp7jV/xcjPmbTzIl94rzRwcx0W1S8DDuTL5FHoQzmWWTEuMbqWb0Y6Z0eHCnQnj0WwSyw7XcKeTGvPFC3sHSmUsEq5lGBzidxZEL4s40Nf/5W2t+qo+nK+6wmie25w9XcRzfKZKsRVZmyrx1sfpVkz8cYR3TCby0dHa6iY12pmvaCrw7BBZzFHQU897gc8Yhlsm9owt68AmUX3Qi20DzW3QXF1rvXg/bCI+mHPl2xR1BIRyDbr58YkHUWCLQAvAughJfc6modFRS0hQraik0opKidimItIaNSesAlK7TEAE6lu73Mv4zFp1VVcTtICNHMaFAdMg0cwelKwjdNPcWEZ+tVMfQj6eXMcdStegHNTe1T6cw5RjK6xQEQIVy2TP+bQbXSPs1omG/S3uzCZTHRa4Gy5XPchCirIYs3ex+Cr3DBZXRJafDVep5M9iTVf0/0Km+rpP0mxd3uuIOvF4Qh15HazelqicngFMtEvOUJEB1ToQ6lU/oUHYe0zcSuvKVKzYn+PYs1wX40qk0n3IXr2K8BEC58TZLOW7uWVb+zUIYnCI62G4I9GCGiMGwrV9KNFBpZ2lHZQC0GWIgda4zywZfgsfvYUSGfDiLR7EF4yc2OzBdq3JN847tP3BivmrBSEHbgqB5VIzOTAJ1LBlBDYKO2sfrORDOUALmpUuHvYUObAKUc4MCSoV+/VeEl2t1DCMUKEH3LBl5RCA9WGCNBsWg+hfGWDkA1EOm3CbdqdhYagFtPCPSKOF7BpgA1ZgAZyxnNmfeRhfYsALeM4Lcv/wt17R4GEmBfT1nszQf2TXqLeGla5inxQj3czb1WBBCzGbAcrcEdB2Z39+hyytkRyxdxmQU2mdEmm0s2LRv8KyYmx5g0BMoS7hxg/t07JdxN48teVwFWIrYlExe3ExRfTxTH6KfxAwtQRBDVTYHgYYAvW9WYf4ugMB5Goja+r5hUHQte+5rkKJ7QPBDXKeZRQ9EF0mgbTI7h67shdbZntnj6qmPJOJho1qX98qMYncZq0WrntXkmEIcvzFz3SOAMK76G/1lrnFfHJAE+DEEs3myiKijGPxoIoy41eC43Odvi2Z3kbs3tuBFcau7kj4FH9IvWpAhVCBonGRp1KBb7H/YYAGMZlQYYDk/g/E0NsHYVVqIpCiCYDpXg8oiHsxkO4Om2fODhccO/PuXtVl2yNUZoAlP624SOlYHcN004vV/RXTTVbzXhZ551ItbUMJPxYg0WeLkOjIxmGs/oAtsRY42BKKThaK2Ea4lJwe6slDCPLr/cmgmyZi+46jgaNxQg0xn+8GIXrhqfh16u5g2O0AudgYCwGYGRfMIHCpMmexMVEJlgHgDhclKbGyUXsCjmYELnwo/e8LufrmtAmjoAZ55mz7vOgak1UpwEVigIiAmJEPuAgJKoyCIvE0bZdKem2GyHw0QaD4y0+qR5J6yYMzKG4hD/g5rs1yfHnvGxXf/+nzedxcTbl1+Evz/XcfV7hipTStTScFmFn+xmQQk9B0QXD53OBDKVDUb+4ePRrV+8+jcgEQekIgSDHq38F/1BAsXIjw3yKGchy20wIBghJuDqUs1OKQVo6FMWg5VMMQwSCHJhsihMgQJcJ6YjJAkELNYTkIDBc5/EcsiEUt7RxqYWiQ59Gj9dqVa9fUaVOmTqPS4lWVF9WqWK+KMSnmqtWvvLgyDFJ11KBBORdCGLQIbcuFStouCmIyxlu3RBkqcevWpNwUXdsO0iLFsMkcUgqrDGK4sJQMJh1DNtnYcV27ijVPnvx48+cgIUSPJl3atOgUp0mnLs36tOvVqlHLNv8NO4TFnLhzQ+BpEYFv3L91A5eIkNZwMQ6p6XZYL4VuXg4n6Q7icFHunQg3UW8eA7pDtQgcDlIpHiF5hjyVmIRgE6HK8QzLOQRJ1uGqhZscRmbI+7zJ7A4qLz6GhEKovoUyYGYolxziJTwEkvtvoVWQshCmp5bKEKqnsgrrQ6rGWkgMqkoMS0QEJjHLLQQR6MsvstwaZD2G1OgLLfTiGixHBJRoUYrBFjFMscqGNCmEwjwLjKHHlAgvBM60WHKhFDz77ErPspQih9lGsy2EL1ujzcsxu3yNNtvCJG04NntjUzjd4ISgwgOBs2gkhJ6zyKM4A/wnh+HGw81PQJlDaJX/PlNSi0CTGDXvIFrK0++9Rlmi8r7yFjxIoR7F8FQv+yxtkNJKD4IrBodGKS8HhzbRiT6VMmDUqAuRUirDqDacCiwQs0LRK16/QjGrTdyicaEg4epxLswWunERGON6kT2TMgiSMM0Qy5ahGIbULAbJFGvRss2aRaBbK5McUkvOxB3TNdjUBJNMNGWT18wyxRTNTjsfPSg4NncbLqODmJHTIgkPqign64bzU2D/TMXtpX9/E65hOB9OT9RSH+pYWWRT6hi9jhAClVslUjaXvRzEoPUgHv0ccEIESj5oo/II/oebUQWc2VSG6Kw1qadyzXVDD3u16lerTKwKRazOWuRY/xd3/Gswqq9tq7Igy5NsrkE2Q+wxk1LQ7LEpazasRSXaxTmkzrz9jN3JuKQX33znfffMvGvT1+/Shjt4vjwDhni4erQTHIIUHNIDN4wnBm83f6+z6OFAWXJ48pVg/vkfHh11VuSNgUZAD4cG8tprCEjU+ShlKf7nc7hk508lWut5ldSRixra1g2L5tCpD5M28Venv6JlWKrOmtGkZP/qi+pnt97rxtUT1GOwdbUlkltvCwOXoSHH52hdzcIzO266tfQstL71xlu1L++F18x7Y5PfNMNxc+8gJ/UPYJDTXMAEtafzbA4hbUpgTjBnKIkBR2Od8xh8OFa58sjOgp47Cf/pskcWwtUqZh6kYI406LUTdpB3pasgAoT2OwxpSIbCk0rTwqKVp3UFLDgcVlWKRRcAge1qxoJe9YZovSNVRkbqKtJiwPcZ8yHgW+Gy0tvOdaV2tW9ddtvb386UP8DFT3/749vhdjMpmA1wN4MgBjPcuJ6IPYRyBIxgHC3nmwderIAQkFmcImcRDS6KZiwM3SBHt0ICTfCDBEmcclahB1RdMIWE3F3FyiOzQ/psg6DzHQybE7wZIk1pyhNLV3CIleWZxCpSy5qMlBWEvpiresqSy2AYkxaTyAFa3vKeFbvFmSgOiW1x82UW0WdMznDxfnwLo73yVj99gTFNa4oTcpT/IzA4IUBTB/kJBEJ4HDaxCiFqoKMcddNHCJqTLZwrJ0TOCR4WggyD8cwgCa2zEDXAapEIeJkebuevEa5wnhHSp0rw9I9y9Gx2tAuaJz8ZyqNpaFfFAxHTlMY8XhTreTrp2l6wVsRrKdGWDMlBW6iWArR0j6RJygz6glkYc/1yMy2q0jHnZlMrwY9+d9tpM+XHGjD2TV5hEiAEMtBIhRlOnAepB26IAZOZDEd2AaycVCeXTnfy8artVOC/BGk6hshqkKJzkT0npASHyOGSbWQGfhAQQrcypHGSJCFAQ3UQPZQHAkglRiUXuskcvcyTt5JKYYPHq+RhBXlJE5YqryI1/1m+hUe1nBpIO6qjvkgPLf8UA7YOQ1Ijgc9KUfQMe5RgpX/+8jFaNGZhuBRUL45RqMycH09te5pqsgmN/2iHnnSjoPvgMa3DCQFSm1rOtOwGc3BqmAO3+pvmYkdRFOyrSVB3wXuqZJLzPCpC2gGh7h6EFxQEmewCqkl6rgWp5fhnWRGS15AJdKAvHCwNm1KPqBjthohdmg532F+GYEWjrcysR6EVWWiNdCGwLPCCB3Mya02micUEZrgMo7q1tE0LSsAwlbDIWixykYw+hW286tXFEZfJNYaDU3EnIobgBOF/BykU43hCTosE4XXb0WMdL7dVhu3xgcjt6j/CE8J/lP9kIXJAKicpqRJMPhkBB/0HM5YEASor+SbmE0OTYwfP3nWyYKrTKkwwHOUw89OhMbSvrtphPMaGyJS9SiVDVmnSIMpIsxt1Fl6QuCwF9+hGHW6bY7TlRLhBUTKPWRkCMjCT8qjWbcjcDEz5Blt6Ybq2mq7t/Ph1uITBhBnEMFBzhSPYcjDjdf+ox224KkEg21E46OyxHOEkO9+4kCfcYEapsXvB+KJ3oEtFiBubjJOFzLjKvT7KeR+iBPNlNyRNXja1JwG9us53zUwNpWGRdkobbkWHqAQLRgds2VdOr4iunGyCaRkkFPWIbCv9LJW0RNrNpE0lEKppa93GLmX29MT/zISmimVr29Tkr6i4ue7vEEXcVSNlYb655zsXaCdTDxmBPi6zJRFQHQshuZAcBJBZSa7CWr1NdjxpsquYBDspL/l3Biu5fGe1bVZ7W4ZGa0q4SQngEflcznY2S1sQHK1lEZGj0SPLZQHdl7RBCdEISMzU0eWttB2zw/2J6b9xalN3xTbTPA1q2WmL6WXuS439ogmSk0KeT6dgm0dphxQYKLGMKQqrg2Lnxj0G64szZBJIaUckwTpQhW6yvBeqx8kgMHfvBsG45vMmT3Ik7YhQ+z7t3S55G7ptwoJyeD0H938X4SlPLSLOVTk96r+iUTWkLGXXkr0SxNAXMcgelnOR/1HtbYS1IKTs9jeSg8qgXb4UxCAGQXiM8pNPrsvEIPlXn+k/Q9CYllZabjfV/mvFOFuDdxrtBw8cxA6GmwzIAfIJGYRv35QBNSi7HIO4zcGgBa0A5oYv92cT7530m/1zCza5v6kZjgC8DpUQgxCqh1UYiB1pJaMrD74ItJPovUhbhSarh1HQt99YBKRqh02IjM76KLKYsRxxpUY7l1HIQF6gmuuhwD6LwIUQLBiqB6XgOTdbCjijKBwapR60ik3YkWuZpVnSGneTrCN8EST0M/RJl6+jG2RSgiAIvm2xtyf8umRypk3TQoEjvy28LYNbuPezjCCIqoM5PwgIgbZRAv/3Y7tPc8MzZLG1Q8O1g5CQkML22ic93MO1iIGUaZHVCT5A4cMUSJko4kM/9BE75MPsoS9PwkFcaQf86rnV8xCtSCyhu6FReJEiZLdOlKwduZFkCcVRRAsoBDHt+4wcWMVVXC3DMJfEwJLwAbv3ETvaCr/9yR8TG7iCK7/cGiA6NKNfFI5sEkMxlBNkNEZgfBNGbEZnfEZojEZpZEQa/J3Q27ngYQpLtKFLpLNwI7fX88QhBJtPvL9SrJ5xfBa3kEVXjJJZfEfGQK2/SEV6PEURu8VL+z4y4jQxgo05FMZfdMOADJhkxKaBPMbFmaP+yaZpbEiHfEiInEZHtMbR07n/DulG/vovjeTBokvCcUzHjxRFdCzHt7ipKvow7bOStIGAWAyNI2EXEAO4feRCFEsxfcSfm9yXYExIgKzDZXyThQvG89tJOazDiDxKpExKpazGobnG0cPBH8TEbsTIHcwokQRJcSTCUVRHrASbSUtFdfG6yeCwfboIWXRHZHIt8Ou0MEq7W5Sm2AAq2wJKnyxINCTKoeRJvfTJhCRKgFRKwAxMweTDiWzKNotEStxGn2Msxvy5r5AacgTJriRFrSzHJUJLepw0KOTAI9GwWYzJYwq4uzE7thS4XezCm1zIgyxKuvw0v7zLN1QjOiRG1QyOwbxN3MxN3XTGNFQN5VO+/xyYwhzww+DTAi0QAzWQAz3gyk5UwiLsSlcSEiz8zCacTmiDtN/IgBRoDCg8S+4LO1zUG360yZpETS/syb30S/QcRtYkSAF6zdiMk92cT/qUxiBATvxUg/zcT/3UT+M8zv8UgwA1TgEV0No7UARF0CD4TQZVvtLYwwwIgRgITuTcnpFcQueETu7xzrB0n+lsx3rETErTEu/LSbLzKVvsRbkcozBhjb4sqmJ0T72M0dasSxkVRhqtzfrcUR4lTJxzSlDKlWAZUiL9QSLlBefRAz2QA+Q0Tim0GztMQz/UAjnAEY/MSujETCcEu3cEUVQ0yQ8dEp36KfKkSfsxUxP1Iv++PByhrNE1nU1jjMPV3Etm7FE7vVMxcyggFT1KNBE/JaU//UZufKyrlBFQHAQmlYIgSI1Y2U4pUIPltFKSrB4vFVEnZK0tBVOx/E61zJdpKk3zBFVR9UK1a882pdP2dFP2RNW8HMhixFNYvdPCrJVbgcSI0sEjzdVKbEyNikxzTLCPTFQugRDGyQHb0yUN7Yt31FIsPMWz2VSwDNMtwck0tUUw/D63BMPa3FaEhFFv5Un1NEpVzbVYLdf5ZEpabTMc1MZt/FN33S94VR7nOUJS9NXIfAs9UANFTYF/klIpEAMLNcK2EMtMrVRo7dJlHVGbGtO3vFa3JM0T7ZLxVDv/2rxROX3DVl3VHI1PNuUX+BxGcw1Z3ZxVxkNMdaUoXc3IquzIUCTJraRXQ1UDLVjQf9LO+6zSI/xOaAVRTn1WfyOmnnWMe7zJhIufTyXVLhyq0bDYOD3IgvzWgAzXopTaRRRZq01KdK2VbttapqgHqnzXd11ZAZvUrazXlr1Xt5DZ0AgPmwVY6ezQlKzOY4LJ7QNN0Kwb8bytFg3Voj04FTXa2ppTgNlY2ORYgxzX+LxYOF3Vqr1ax3XIrLUQwrpViHqzUUpZcFTM5klWyjzbQvUzUmTSRWXbEAhOLk1Y7gtLoNXZKrrbaS1PTptYfdS0oFRGwRVIxC3cp71RVCXX/8f93YckWcmNqPwCJR9sV8ekyh3axMm0zMoEG+h1TreQAy3gkv6Q0Fh81nbsTrlpXS51XXZh2DIFQ0070xPTRdkC1/dkXIy1Xb7M2PV90dYEXvqF3B/FlUnMwUzMVYwkt+Tp1eZs3guNTj9jtyHckhjoMAmFPrpln5/V1KDlVLvpxVHNRU89XzTNF8NFT/WE3919U6Zdz1StXxKGRuEFnq3FXx3MXP9VzOIx0s290s7VSiMMYCUcQukU02FdiwxYvkIr2Lr1WQgGX/QZ2vEdu5p82AsOVWqd3/R0Vfe1mCdO3KaNWjMqYSxuxshF4Ww03uNtzK9N3nl1WWC9ynMMSf/P3RFXfJ8YwE5HS4EcME5aZN3vldbvNGJ8TFoUzceBy2NqqtGL5d3D3dhUrWIc3WBgzGJFXqQTJpqnpKGJ+uIeVF6N3EQs5Uq0RdsBJkfmXFZXDIIdFolN1FchVlgPBVotypIcyNYjxpuJlV2EGyOnhdrbXdM5DeSdzGUYXWReXp0tdmSLvNUvBhGteCS5cJpu1CjmFNiyRcdmHgw5GIgYCNgHy0wnbJtFWIWroIVFoF6d1czuDWdKy8I8XtFWjthniuU99sVuFeTDrd34tWUqhmfz62V7/jzYqVcZUVI9WAU+zS/GzNwPGQVoUwtg+a+oQeN0/Fx1ZOi2mJIY8ET/LErLybCRUdjmTdAD1eVZlPTkOn5FsYPlUaXgauUf11zNQKblQ5Znj3Xnin1n27zne2bKPQwBnqNcQV1MrAAZEnHMrJhXHD7boHbmdcyJcYSQyJzbzJTFztqEx0zUS5XbUt7SjX7dkj7N8BQ/dN5bM8ndf3Tik+7Y97XlD6bamJbpXi5MOTjE1ZmEFJahYQYRgg4Pr+hfH3K358RrgW3otqiPWbodlHoWdzxJ1QVLPdiEEhkFjQ7RhK1qcLZq8y1NuDxnNYFlhUTkbTVrvKTnec7sfkHrXkbXdugKhKAG+qMS4hWl0kNmGwKVg6ZKoF5oUPzE0FULI1SDmZhmSp1j/3YUZ8eQA8S+ik2Qgyv86CHekl2sbKTFF4jt4y/EG5VOaW4V6/bNLek23JdWTdBO61rBNlYbhEngBr1w60eGip+7xNZbhOQREWC5xEnoT5ztyuLTgiPUV+ErYES9HUyW4bBZUOWzDIOdWeBMXcUA7m0eBDGY41PuztXC49F07vJt2CVW595NaUKu5Q/uyQ4e64Xcbl7O2prrqyBYCq7QgnKAL5NwOVUi7kFkVIYIARUpEfa+xNM2rRvZ15wIzqYTkvaiCcnaOiZBVB+pP7l4ERjbN5la0BDgjxzoV+ab6MLoLG3mhfc2bjt+DAcnWhKjSVdeZ4UbV/iF6ewW4ZX+S/9lVFzB8XBFJlnvzqsccAp/bgcUZwgVtzM9HASga29eUKvVuYs/85rKWh0paLDy0AI+W7Abz55fYmu9KrTVNQwDR1LiRmUhBjHxnckHt8nItlYUVdryO1XMZtVbdl8rvuLePWs1L2EQD8SK5IUpUYN2cKvWuWjvqIxRoIW3yYCLrrMIAUKT0AJa2AQMm0DOXItBuJ3OEpEMkBH9BJAXkQJCg+aykYL/+421scMMCL7bieMgbkcxmASqeCTUbdbQrOA0JenlLk/VmO4ZPfV41ljrNuR4ftVUx2I2X503Dx5m4A8IGIWBgHGwuLYAywpkz6Ggo4q3CQGsUDJHi1SGRwD/mRUN+u6PuYAepxNH89k9IFoLYXoiaH9xx4BoqY5b+tbmVSCM7WXsdhlTdC9TrnZuL09nvZFNMLfdDL/szm53QC7kes/iVdcRvRhxSBR4uWKGn3MsqjiWFBi6CMEKDCsL1hMMaAEpGbE7KepmFDnCdQuSZinyGkcAJFGMZsmA5vN486G+R9feQTB5zwJir8tyLzRnmZ97c78XUqfuGLVwm59uD65wVO954L33+OKKfF8KngOVEKCGduhBVVIsx2Jvqxg3JD2iPPMzLah17br4JTyWCeQRmTqZkH8iKfF4a1ZqLdADWqCK07vycunyl+fFrD5irD7aP37nm0fkMBfz/0J253evU8AH3p93r/EKgqjgsDhfCup5M6dxLHGzM17v6fFiiPZWFY/6s1GM5rKxLqtxiSQ8FgZTFpmyovIRLSkwn5oyWO80DD3Y9UlI8Aj2jKGN8GuVWHXWclyUd1Hn+7un0Q0H4cEFCAQCBxIsaPAgwoQKFzJs6PAhxIar/lGsaJHgIIr1eBFr106NwI7tymkRCMEkr5QpafEiuJKXkoEpWIoZKEZliIFaWPLaRFDKokWDCAoNOmhQhoEx9AwdyLQoUaGDpMYUqERqUoEppGiRImUgBK5SYigVm6Ks17Reu4pd29YtVzmbUk4SA/ct27U5QvDt6/dvir+CBwcebP9YcOHCIRT3ZQz4MF8IJyVPloyAsmXMlzFz7uyZ82bPoTN/1kw59OjOqEtHbO36NezYshOOsmj7H9GK9dpxq4lAicePAtVMGhhiFU9etFziHKhEuW8EN1lWRRBEOa+mw6cuwih10deBU7UjkFOU/FQ9csZXVzI+h/G1QYyzJSswRlr7CPB37a82L4BtAajGKCzVdVeAXgXRGGSP+aWYY3xBaFiEh0VYIWF+fZYaaKd5WFllq31o2oipiVjah6NxSGJms7n4IowxujbRbRRxQ5AS9fxTDzN65CQQLR6BhEAK5bQT3n6jYNfSQAXyIgdRKSEZBE/dmaQkL/MJlIFRUDr/xd0g1SHAVHTl6QHVQHKokUEGT8EnUA5FDWlVVz8ikENadm7FlZ0h5PVfWgmqdZcUBCq3SIIB7oXYgw1S6KiFjEK6WIaCsejhihuieKlqmqK42YkddkoaaDKaeiqqMNZWoxpnMZSDR1oikIEYq9h5WQ5OEgSBFmJK0ZOs9w2SUnV+vrndIDlkJVAI7k1VZgrHahXCmYPcqpMYrsqkxlHHQhDYQBkoeG0IUix7WQZKsLXuW4G6FWBeaqzCyyp6/NnugpE6SGmjkvLL4L8NMoahhAA/NqqnICassGisbUrqwiN6ilqqFVt8sUI03vbQKB4ZpMdBi6SkEJW8WFnQdLQE/wuWGGgWlMJ4i2irVEFSTCWmQDbjLJAW4+m3axBe/ezcQUGLde/RcLE7KFt6zLuJGP69u2hij1o9acGOEmzwpIxB3LDEJiYcKoiZlj32w6SZjTHbbV+86m0xyy2UHnUPElzdeetBi95i+K3rQJMEIVkMcmA3it+J+y0ydoMEkRQEzTLFnhKVB1E5UOOFmRMEMXCrRk7lai7FZJ4LpUblSlxeuXlHLbLXSbPGoIRYQcQQQwq34z5W7rjfTvufS7ubKF5rTaLcIIRKsei+WHPtfMBcV+jY1hpG/KnDD2eqoqhps2j2p26LP76LGtd4/m7BeWSk+iOp/9LIAyWn0pL0q/80P/2jzK25UeedB2ZRvuM6AArQdQIsioDcBSjlIe1dCmygAhNYqKfZRUA5qN7AsgaZDPZLg8/zVweb15cUYU9i3UMY+L62NhUi7GyYahH5YijDiMDtfDVKn5HYFxwdrq8dyaHFcgayJJb8cIj3ewlPNuE/uQ1wiUbZXwCZGJQoGvAo4wmeBAkltS0yrV1JkxqC/iOyVchBaswTYfT6daENdg16HjzYwlLoQu6VMIVyXJEcv1aqGfKxjwYxnw1vo8N68FB9OqSf434yCfzVz4jwOxwUuePESC5xbk/8Tv8AGEEtLnBQC0QaGAElKKnJgSXgEcsZq1cprGEwhG/8oIP/FMMwToXNhHFMGx71GKISzpJUfvwlMGsYSIukz32GbF9weBLEgsQAfsp8ZCOTo78DUrKa/pOK5vbHP81hcXhK+6IDP+nJUIbxm2JQEuK8csHmqdKNq4Te9Cb1vRbqkp621COHtndLtO0RmP6MISCHqZEe7rCgBF3SQZr5zCNCk4j3m6Y1I3rNKk7RkgDkTjjJqbxNlnNpHo3gKIdFizKeUV9orNq/OJjGgK0RUlvDJS2zt0uZznKF9swlL/+p0/EJU6A7QiZB22ckaNqPoUVkqCOVKNGlYnKA1WTivbD4UTD6R3jtiipIOekVOczrdax8YztdKrBVBqallnKh90AV/9MW5pGFaz2hPS2z07myLaACLWYhhZrMomJnoY585FF5AdFJEtaaTTVsE72ZVQYuNmlhHGVj2SKGuYyCarB044Qu+040au0vnMqnLfU5TxTqUmykvRRoNUPX1Vasp3fVq0Hb19f6+dWoSLUfS5Ra2N1SEpO8vSYnsfrN4jGWquUkbvF6Ri8pYPaVzgvr1sIKMLDds7pxpS52edlLmvqStd6VkV2HWcxjIpN9t8WfQ9HrzNkKlqmR3OZhtfneq45Tq5H1Yn2PC9m01OpJ0aMeG18JYINF96uuDMF2e0k2hYm2tKHt3oLnmNbvUvhFrhVvUIFqJEL6kH5HZaRDAYtbwf/+FrGZnOg1/3dixTr2gVnspARBed9y5iAGc5lEDMDqTud29rJm1fEIrdtWta41wkKGaUzpqLYKMxk24Q3keIOaQ9mG2JHPVK+IVzJY92qzkpNs4gFPqdWPbrKqjQWnfhfblXUabhXMPbBKVwpCV2IontDzJYRRi2TvKZifCX6waJos6NZcGMpAXR+HZftXD4+YtrZNiW7de2L4XjTFVnQifbvZSY0iV7iddvF/mCcFIIKuxx8csGbhCcIBX++tcFXbqwHN53omWEWDvrVEfGobHMb20Iyc7UL9Or9ht7fEXrbksStZ6fEMF9ScDmeLzSw8QXmRXWe0MS9wzNmr8dj/pP9NNaRmfb3UZlfJEcMpWk1oIlyzWyGFtuF42Sdvgg71ynzFcmCHDVFJf/nEhJ10zIiXX29Ou4sD/3QCo1rSFOhBsErY7I5TqllVolTi/ypRnvWc5LSSKFSm9XN1L9Pukf9R18Q8NHn32si/VvnDjO5JFP/31GNLMWYqtjmzDW7mGKt5zJsGNXHZki/G7IQWoLNztzUo3TbumJYed3VNRdVWcWsvpyS/ukDejb5eGxOZ63X5eR8NSSde8r1kx3nNqXkeLnoyuQPf736R+3N1GiZXtJCZc39s6jmDG9yt3lSEyR3rIteSz2TDOtafDO+Ua9gjiw6so7OcnEgnG4pn/1fxzWM+NxjvHL8aFXizqR1tdzGPeougxSrytXc5EwzpInS99ayLZ7Zm1+kzxTjtHRxyxI9c6zcsL8pHUtR8Rz6aL98yimdOabV3WW6Zfntw507fjk4fLyUVjBiAKIYDv36s224n7CdWdcBjV/CyD/mrUyty3rdb8Vvvemx5iESkYtnRxIZ0YSWaeZz3e9lsH243GVfcdZ7cyd2asdRf5MC8DAKqPVfftVLS9ctbmZv43dPHwZWIoJvuAR77tZvv3UaU8ZAIOh7xzV+WMdozIV/z9VtF/ZtFqd2MiRKMjd5GvRgNtlgqUYjIVNaqeRvf/aD3GcZ14R7U0RrVcdcQuv9VB7Kb+/1ehgGfR4CYCZ4ge+EP5VkeFj6R2dUc/02FDIqTcc0gtRUctDVbW6geGqmB9nGbxTEd92UWnHkWPg1eHoGPkt1h4RFhxkHYEuLaB+4aFHJdFd6b/a3cEbGECvLWNkXUC+5fKIWhwd1g0HHeF+qXZc2ZEiiJHiydpHBi0kkXdTUY+nXcdU3dntmRavThoDVhjXSdDuXVUL1c8RHV/C3UFf5WzOEi2iWfmDFWDMLLL7IYtCkK9MTADuZYgXFWxXkQBJJVkNHa4Y3WnhHe7G0g+W2IKg7aH57cDu3GvCFTsMliyw0iXyWi8i3fFi6b80mVs7Wd6MEdR1kVcqH/oZz9hRrSwpshYMRJVzMORqsNmdRN45/lVO6pm1xlY5OxIiAGX4bNYno1miGy1y3ym/6tIDe1WJm5GGS9Y88hXFtcH8QpwbzIAfj13epxH9ckYUD+HZHxU0samauZH0I22TbqRq/BYhSK3cv9WpUdkTka27L13+VhlAwOYCROHyRyZJqpXpy9UQwczySAZElWChwyI0oyiGhNXTRmjyna1Ha1ZKzNZEKanE26YvwFxwkK204eYv1MJFAyX+Up23lwlAH+HFZ52kbGIEiaWsOtwsOlkd5F4D4KYTVKI1heY61xHNTdkaaIZYXV5EAxpFCFXfFB3vClhP40kaShIy8i/1vMuB31/R8B3mBeptnyKN1V9sWojVSAxRIsVaUDyuHfjd+RndCJXKARotXHrZ9jfpdCntwr6pX81V9lRpO9Kcc0vWUWcqbynRJHyqPoiWEMmiZXrJNYdRC2LQIy+mAQBljFvdRn7aHG3ZRA7hNM5mHs9CZrQeZPPSHKFZFaElVPEtsVbqZyuqBQkCEEaRowht50xt1e1iNhNNwo0CMbAqFJ7ktgRB0dbiBuVqMGymRBsoZ6etdvlmUgBif9beh6ieOSbJl9hmiyReJdluEYUmdpQhYaUhxk7AQvZItgfqIbqlJ5UuBAHuH54Wi5pWeFzhV7xlvwlcNuhFgJRt5x2v8P5d0nFlKkUJAmfrEYmaEoXUbn9XGQSjlGrpgMbNYZGzXgZsmSrNWemOqh7Jkfw4hcmapWj9LVhUZmcJrl+nhoWkKkUY2CkuYfXJ4jf3bRzinlixnlp/XHJQ6mhAxLgcZhd6YmxDGoShpkYQ7eHNqm4VHomvooWUYmFOaV8c2pfHboT9qn5hnbXBYcOQEqdEppAbqFVEZcX0zH9iUqPxKYPNGmWzHYBOah+pWieJZWpe5Um7Yn45VXh3JoId4f/lkkI8YlI16RGQrj3AUgqgbqRzZjUzpGEBQIAypja6paSkqqYn5rbp7fg6YbuvWqpV4qrzEk+xAffN4WWyJRInb/5p0ilhcKl4xl0b1W23/SZXWiJnf6SwosEg9eJ+t5W+sh2G16qyhGqgXKFGOWZ4iY6z/9KpCm3CFRYf0dKaPZKbLOa4ltHr5CaZoJHKBSn2PloKKm2j1qgT4GYVMmKoLNGgV65Y0mJleK67lJ7D/9aKYeWnF2akOxF6RtpmZ67LJVn6eF7JSiqp8e4EnCXl9kIi/4CMQZmJdKoIQSZJo+6oJ1ZcOylc4CE8VK5jcGrYiFoyEqE8d+rCRx2f6F2SAYZZR2ZKkGY0alhXW6IY85xlMK1l70I7c6Cj2Z6aQW7pmeFjXWXtj6E8/C6aGVg5yuHOTNJ2Yy1VAq4tuqWDs+/6vJgqZHpurRDOoynqQHrWwHcWnKSo/1mGJ4OmrripsGjuJX8ujiztDY3qRBxSLLvWshyiLMmZhF7tbZQZHSkuGZFWDJluZpwuzoQopI8g3qfhuCHph4ZuDrMmqtjqd25WjY1K4fNS5s+VrkFmkt+mSy9tb5Yh7/NCklcm5dDqPdet7yEiw7cV/fbkLeNlcI0Shi0mqjiqm50Sys0aH38tHtotw3tsMUFmm7ZplbFu0WCu/MSYXcHm9/Iq3dTtvfsuqOScEm8E2OcXDTWUYGBIEW2AVZaNzDdgqaTga6zM4ibMLtQczTMWoLz1EB8xH4Tlk3iiBbPmT5LjBg/aSoVv9k/0wUUcbd+55qtJoq3RUMbMbmZd3jq9avgJ1u81CGHOiIyUwCNZSDGrSDFtDmYR6mZKiBGGCGGnBDRVCdHaJIDjAgNuawDB1w+HpdRPouZTrap36sHzsV83lkiopTE8evgXbi/qquCAXBAqbAd4rwYUiGHPxDO8QAZihBOfzDKkhj/34GLQxCZ/ACRXAyTpUyZmQyNcweHctQ4+ZVhhkJ2N1fxt7WAxexLl6uFxYyIQty/ArcBustByfGGB1yIqdmhHQORShBZ4SAkGaADX+txHDDInzIIoxyn90q9uhIO8zxKo+PHXPdQfUusPEuu/bxUi0nnjofRjpx+/JytOr/hYLSb2tWSPYZXdVe8fPIkh5Ys8KkQD2MMRJCI2ZIwT9M82hU8z/87wpTRhAMgiV3bzeLD/jCnyt3GNDqsbHaT2Ya7ZeBKp8+lshecPIeL7586TtBLWRkqbZtK2AKbkb8gzJ7hhaoATZ3hs0Mghg4M2XkgB7oyDRzBkJLRgZowSLoAemcqRKcyfaNSOEsQqtEjkwN9VHEBAScS0RXzAG78pu6a0YTqdnm1qRxdKieM0Yepb7qsjs7ln8E6L8yyNVSSJvlY+qaNAQEgUbogTO3ZAgQg24UBwTkABtTRDmIDDNkMgSIQTncHTP8Qzk8NAScz2a8NAToQTmswiBQwz8w/4NjEw411MMqLMJigzJlhIAom8woDHY5pIBkrAIxcEM9/PQZ74YS8QI1TMIoXDXGTPQT+jA5z6KRRtO+cTQ6Wm5RpnXT9vKZaQFbt+H0umaFSMG8+MjS9eNq6wYxLIIS6DRm7PM/6AFniPIkZECzZPI/bAIx5ABlsDEvkAZFiDZmIDTqxSwEZDIxZEYM1EM9oLdkbMI/jIJQszFNCzUt/ANA58AkUER3nPE/cENe/0Y93AhuW4wdjyBQCe04BrHQzp+dCvfbXtQLjo4NIuWMjfQ7O23WsGjgXo2BC1YIF+yBWg+X6AgxMYMcyHcGtMM/0IKH0EI5QA4EIPQkcMaB1/8DZyC4aSD0UGAGfxM5ZSx2kI+2jiizGlCEdksGM8B2Bhi5ZGQybFtFQkd4a10qsAZr19Gpb1/0Q0Fw/wFv8qUdRpFZdJ4oWrPzuLy4ScfoSqkBdGjrqZ3VZYSAGuI4MQE0BBz4P6i2ULeDd1sGQq9GUGOGlr83P1PGo9c1RRz1ZmSyf7/0JlR5rpxGpFNEOwwOQVQWmKfKr1JyAocv5GZ4CVJu+ZpzFwpl8L5XA+WlVZG4cWfVoMpzgoKb1GZrczeIqARBw8k4TEtGCkS6GNQD50jGo4dGUIeGkaNGpVM6P3P3+TDDX1vElbPshyD4ZmhMO5CRtJz6qei2476PsZL/75kjogR3uLzyX54GhRlG5yTOeS+j7IB5ovR6WwwMS+oJaGAWBnWFgKFze3Vvs2QQg39LekID9aQjQKRjO254SKNLxqpYcqYoAWbbBi/ot2REegZsArILNnmge4xMuMXu0IhdeLG+K098qppH8HAHJbMZL/EcNwab5p5KATH/uhoV87ZlHy+UGnOvVITEADdsiigT+WUoAUXURAz8g8ifxLVjvTVvhrhzhmSTRrQb+mZLTBAYDrLXw1mMfEGThp9swsdTRHGovIy0smSqHE8SK1enOfpa7qUFZdlhms5ZMPwGfon/3HJ7J6tGL1/kwI21ePdBRgbUg2ifyEuHBmbX//fxdIZkH/SkP/baa0bWI0ClTzmBm9DlgEicUMSiU/znT7ZmDDVm14Pcg5eYe2Owlu1vcyrYjV28n2MmUdqs55xousuCTEa6ZDcCNAsw6rqcv4V1vnViGD+e72NfyjW3noUoD85nlLYaUwSsALS0d/6P8/NltDc1jzLnR3zk6IgMc4Z480oqdwZ/u3fXQwA11MRpzApFzH6MqLt7AkQ7gbxo8SJo8KDBgggTNlyY8OGmRYMGTbRYEePFRRcHyVESAgKCDCm0iMkhRaNGjBkrWpTy8qWWmDBlvkyBAGdOCCFyhpBSk+bPoECJBp0ps2ZRKTlCNHX69GkKqBlyIoAqNf8E1qZYtTrV2hWqUymreOnpCvZqWJBy/rXLAQEuArgQgvz7FyQuhAzt/nErNxfwIrtz5UIQ/A8wBLurQgYeTNjwY7iT/tVL0XjyJAgx/g2CDGHUPylz7S6au6rc5ZA4U/wjVhV2bNmzade2fRt3bt27c6+y+xt4cOD1BBYvZ7x4u+MCHypE+LDgQujPqTsf1ZKlSo4TB0mpDYGi9owqwws1b1Rmjp5U5cKe+d5ofKXn4Z8PEnWr05AZwrLHyV+trAIUcED8nophEl5GYUotrgzUj7N66tEjMSn40iIxCCj7h8IMmbFLjcQ+/CfEuYj55y8IUqAmAwioARGwDEbEEK7/DE4kBiS45GARrno6A0yKepiZSwu7eIRAj77Ua4yWf5TgDcoopZySyiqrCk24LIdLbrnklPPSOYcYqk7MMMOUKLzs1NyoohiqkoIiMfxTQ7w6LxIqKZj01MI/KZTIIIMc/POpvvPmO1Q++rRgcMD/+qsKwAIlTYvAANWghRYxKp30Kbi4GUQJZtpZZZFJXiTmrbzgaq2eHBuTohzguHlLjlh/owavnU5kZpJyxFCDr1vxGiTYyqhRDYJNUBxlEWZ4uUwuZtTYpBxmm+QlxxHtqmcTCKSgRgluiCm1nHrEsBLddNVdVzfftHy3rS69nPc46ciMrsx8p7tuzX4n8i4n/y3SHOQmBHLwV82MCkXKvDf1DIKqEJQoimGG4UP04j2FYgqtplaLVCuq9Kq0Y0q92jTAroIga5GSU/ZYxRY3o3MRMZAtDDAFMUsMZ54zhCuIjm5WlegWe05BjkXkyHWuEFqMIWk5Uv0sscsyEHgQDNndmuuurcQSXuGI87LL5eRlaDq0x0y7oYYkqrPfQaoKITs9RE5zIj3EUCIILeQYb6WkgsghhhwmDurNPDPW8yXClXivJiUIj6FvmCYPwtCXJI/B6bCk8m8nTsPSC2RJAY0U5asG4WWVjx4s+WeiY99r6tht3znDnm3XXXfZd6fa59W8Hp744mlzN+zg6ikbuf95lTPTXjGjhx4iBVPCe6U7q1KCPDVwEsMiPdSDDWnuPOIcJ0Hnnmk2wzk3Ooafgng/pLdwgkDyFIxuCjaJeZr7cUL5SGxC97nZhA5QcbHKVAg4FcIYTSeia4oWMCWH1A0Id70Lnhp4kTvA8O5nGrydB0dIQtwF74PGU+EKiQe25P1GQl9yngyLky8bsq05bmPJDi2ikYLhhE7YYRNTxFARPfyPgGqoyJNsE7+ftO+HrJGJm6oiPATEwD+8SYGerFhFp2Sxf0jsCYFqAyAwzuZBAupKDjahoCB85WSVGiHOEKCHcugBASkoB9MyCDzf/bFndDRh7wRZwg+mkIWJVCT/upD3wm3REJLyOo7azHRD6jWHFswCXA/Fk0U9sAl7FxmfSP4WBJ1URApiFAnm2OMt9gWscVl0IhZpwzkrbkYKptRJ/EbpSi1Q0SqSE16kICgSqHSxU3NzWgSd1sWRDdNkAVoEL9oxCNEBr5Aussso7vjH2wXyd1QTYTi9+RkNFmaR6VQnb1zoyLHRa4btiB7bqkfJtkWkh9kbmEZgwx1QqgSPOYHTRvyjBIz8kFBS+CFRHFYTJMbPoT35CH9eokuc6MlhL6lKTYDJS9A95aNgUabHchIpaJL0fvopqQSdIoZYoapAUjFhhsLVFzGQ85DkHGcIY7fTnPY0d+sU6lBn/9NId3IpnmarpPTWpi+HXMef4bneRWAjVSGm6Vw5SdpEgEm3iTDxikIB5nkSB5OO0uSHEGVcRrXQUIBdFCZUycDjYnBSlBozjiPNYjLHCJKVNiWkL8uPU2Lgm3ZYMI2u+qYfUcjYPi4WsjsD508dm0GiXvay7XzhO8kWz+rR8yA5BO1CoOrP7ehzEVnkIXaWWJU0gdUwFbGoE7Xww/ewVaE5ceJLgLlFPD1RoDXZKEyGCxMl6K+BWPEP6pwyNwP2dZkpBSwzo4tXkgm2KWrwES041zFv7jSbJ2TsZNFJQkLydKbkRSFm2btOo25WIMcxG1Ll2w4ylUm0ljwIVLF3Vf82cbUqf8tn3sAHKtdaBKwIwAhYdwtMhsKSo7qdyVnh41YLB5e3sLFrdZnLv75aka84Uamj7trhBgUoB7xoixYCJE70ive8RPMpUF/cWMoaMqjt1XEiNZs8zjpPXsyxZ9qmd8/qZHLAcbNIWwUqHlOmIGuuxYhFMxAeBotVoA3Lckx6CxQKI27LTIYrcOH6S53kAC/U9WtKz6LXkUJLusi9n3LVfEFJ6cFHo3AQzGiM43K+OMY5DfSMXfzTQO4Y0Sp8r49nGOTkUO/ITcVv2/iLsP9SZLk8ZHIMlBbgg+YEyl8FtVnD/FYE/Dat5jmr4spqaoZlVHhbVB+Jp0vrp4z/VIwhDt2arbvcSZVMK0F4ETdS2SlDm7fQNv6zeNEL3mTX2GeJlvbwehw2zjo6vsnB4ZhCe69K4ou/cLteVnESg09O+X56qMgPc5C3jQ4R1BEds5+2pyeEzgSJvgWKqQOY4ADym8x5XIrwdl3dneynudC1K6S+SF2CE+gs2IXKYVqmn5kyO7KVdbafMU7ZyX532iHf2qKtnW0Z1pdskO42JlVeSTSJe7Wm3ozkWqnEichBeJSL9URs1r9UVjF+cE5pLlUZgsEV/d91rWIOZn0/NN/SJ7J0phlls5MzRqqKWUSgM3ldGM+dWFI1xRWfOz5IbEL74o81u6CPPUfCiBzu/+iqNrx+HE8ZMvWS3sZXdcJtacDJaTYpUPdFbiobKLc2Ngn+jxTOeGpgVoVwssGcTLpolceLOIoCTXMVkenhrKtSus2sesNjA3rr/tpAX1FWPaypdslyHNCyC+94cUzoZ1c+7rnnDcnpDs/mdem+NpQ0JfHpd/JgpLbsCUEOCrwdPQxQJDFo/iDUEAQlHDcG2VdCDFKQfe7n4Jfdz774c8l973efb+I3fwySvn7uB2F+7kfz+b0vP7+atDHHvJ9JW5RAQIEUgmoEpPSCAFukmfpvZAbr61hKC/gCW/qssUBIxtwOAm+sAv/M2XRPA6Fk7t7lnYIM2+Qp+IjMyMJkX/+MLzsujSPWBG4SRikUJ3PoY3FicN8UJT4KRU8YRYJcRnTAggej6QcHJAaapB1oxKfCa+OU7bvW6/Z8Z/ZeT4E2UApxg/c80O46y76MLIe0MPgS4uUQJmFO69KMTzsWYWEYBwd/Cw1rcAZhUHFeMCZ0MI7sLKY4JQhdxgfxIw+fQg58ZBNkBu1qLxADTQlxCvZ6agoTkTY6UEuurXlMbiCKrNvqiTqmp/gsTTz8CwXFUGGGwhPNAwaPggZFMRRx0A1nQgd/EA9Rrw4VkA5ZMWVOZI8qawJV5ZwCMQIh8BbZTvZCSBF/MTaq8F0cTZK8hOX2btLaxtv4pQXtJJQ28Rn/J6IUMeYN13AGE8UG900bG0cVBQvYXDGaWOqCgtDYBsFHPKPQdpEWy8n2zs6QjpAXgVEecYIRs+QDr/BLlsrbhqyepINZxC2qVBDmMHFNNGY+ZBAOMUYNIUcUNSZRGGQPwW5AeLBjyHEiwxF2gOZFmAFZMA4e166PnlAJy8sCyw6R5vEXhdEeIXG+HvGzJtGptg0hmBEFUctfMhHmFhIO25AhPzEGbxAUGxIo5LAVxXEO6XDP4giOxLErYmT1SuQQRUgq39GcMq7jJNDQUBIY61FskMrkQJDbuI0Ehy9t+g7mxnAgy9DSGOcUeZItzxAb0cMhM+Y+FvAoUw8ce/Ai//XSLiPuM2DlH1bBr6oSA2GvHQ0xF60SnbRSEVWyK68wyOxFMlvOEsnkC8/Sqs4SJxEmKN/SLXVyLhcnTyjmBmsiFcPRKLvxLiUyL1nqhFKACPmIAh+LJPuMEJHQAqeSHRlTEblSeR4RyGoov1QOGb/NOqCRO1irGZWsIDPHYjqzJzOGNOESKKEzPVJT4vDSDrFTASvS4qimD//BNEoyKtexMKFNHQHpJHlzAx1TOEDQKx+tEvWOPufTICoNMzfCtMKQIMVjG6kTOn8yLqtRNKVTDtHCO8FRNVlqKY1SLRgrBzayroInmz7OJEkyPdnx4mZsMdlzA31zS+AJ28pBGf+Fj56KcyG+cLVu0qpWCzOzoyFDMxT/Uw3b0gbl0jO5kTXv0iITNC8pcjXnEC2aLQMow1wGsQJFkkI3lCphDBE9tD0dKURbUkSzkBK3cDhZ7jiT7L+acT+5tD+RDw1Bkyen0RrL1CGf8zphkS9fcRwdNI0aVLH+yEICU2YI0TxxapywckmTVPagVANBFIbwMcjwbuXs80qfQ5M4MS1t8kUDEpWs8xoPElFqcCdLcy4XpTVNBkHt0lO3M7GCFINoMQRUbBYR00lrkfaaFFV3E1A10D1DFJJmtThGqz67MCH6DjmnKnuWUwW7gyEtNUdp9CDJ1CfV1CjqUinhtCizE2X/fFQcyw5nzJFDoNDPDjOy0lNba+xVdU9QH4mGipFL9pFcIQ0ZM2mTohEMN1MtxVAG5RJZjxU0KzVHcXRjJGUVP1VfmXVT5HQP/RQCcoAbXANaYi9VrXX2krBVS6hbdS9WBzWpvNJcW64fqWdR8SY/05VXN/aqprMUO1NYz7Q+/pNA5wMid3BHBytfVXZf+XVOLbRpQqMdlCC9uJXjbtNgc/b1GjbuvrUy4hNoRTDvhrYE3YZda/JXXVRd/2U6DRIbQ5ZSfxJqz1RZg9Qi8ZU7hRS7InJO0RMCxMBHxnM2KVBJR9I2UZVn4+5hwTVcfc9KZdKpiFNBWHBXQ2ljxS1T/2P0Rj+RXp82Omt0KVZzQfuVQVMWa5vVVTDUxmJgIws2N/MUsnSzEMmzQ9N22ny27oK2XuypXMfSTC7TUVeUUfsLUks3awTUXkdTaoFSIWk0PnKgRxU0sRI04oqydlFzdA4RMJSlHUbDCbPVj8q2HWEWMwjJcqdtbe2CVkMwC8/VROM2V+nWGQUyBf2rXTvxDBWyXlf3UrnXUIjyWV1WVD/1aqFVQE6IT3EHbP9BMybX48gzMRF2bHPseBMNc7HQK5ejaIlWbhWitJSWPCCVP/nTdEl2WH0yRuN1b7U3WWe3cJ3VWYH0gfksfZntik6lI/vU9goJW3WKbOs30ZL3Hv/bdl4m0zmmA4XJtSA0CYD36UuhUWM70WKaNmpDNjQTeEAZEnyREne/cVPZFDVdJu0seHfbYjSI12yBl4hVVTFB2H6lFGJDkHmslHOVcTjzZRN6VXoBBzmvql9WF1MldRTtFYyLVVObVU4Rd199WF+DcH53an3REU8nd3gNk4npyIkRTYSD07NkUkv5EXr+UROZs25H1yUOWIxbN01HNi570jSvdkfTOFRldy9BVY4O1ipjYGBpARB/t+3QlwlD2VoZNgrzmL3ul48hUWhhMoVPWIUNIotRCyA1sVHB9CKec2+p04DNOG+NdSi1FnfFl5InWXA5hY5XVS98oxwm1Cr/L/AjR9nGzsmUdWyP50tcs20EERVu90U/W3g7cHJ6aRl7HZlvwRgh5bVpebJqw5c1yfF2s/ZwT4wWa/PPBqEyaASag7c8bzaaeWaaTxmK2ZZQIzGbARl6szhjA5iLj5YzcfkzzfljK4Z1zTlw27SST8ad27kvUycpya4X3xgulIAvFkEkB+1xWVVhIeOf22uPafXk5DOFndeVZ/qpEpqHFJpRl9NjJzWHpXNMbZinOcZT2dhw2ZmYhdnYhrifq+ZFeKGTHStDFXZPodqfVzqzAroyxoZKgQxXjbOKy5IiuvifYjhpm5GRC/QzXVeiSTFR5kNZy9eBkVpUBzd33bF4/+c3A3yDGzKYnvcZZ3XXsqx6qFoaOMVVSyuTYvMr3F74aGuZrBVGkREZok1xTAP0Ynb4h1v2TY3azjrVkiEXsO25HWSTlEESft1RSQX7qgM6c/F3IJIxblEUOi52rH/VltfVmzEidT3xFGm4rXnbOc+5oq02s91UjT07noNUF2uRnnsHbI80xjLU9QjTJKG5PVRbqFqaGGdIv6D3vkgLt003P3G6eiO7lyf6rNNQvYuiLiGZO2M3iIMZg8oWsHEmCPgCHS9UqUF72XwRu9cJlbNtis+mu7dt76YHdG06Yx/bnwo0anHYt30aWdd63zCbrjE6ufnVRyOyme96lHtHk///oVtMm6qVmLnVs5T/W5GqGR+1jT63WYXNUqzJUJzzqZGDkpdvWIx/urId8q3RWLOHuriPWoK/E5klF5ThIgQ+hJM/uiTVsYPRU8XVKcCBFuVIlBIN+o9ZTsYNecYfdYzfVYEnPLjZmjQlusKB+KiBObnf2aLrGokBm2p8gxm69n2vlcTdF/em3HiSty1cGttYWdD7t54SXItte8aX9l8o2qFzvMfV+13zdp0hDoJd0b3fmajHtymV+AltjzKWmYkXK2HXsa85mM8XqcpRDmirmNBtdW6dMXTBmUWVrFgl1bfPfF5z3aHNA3bVeHyBXJjNN45C3WvTkWqS5FSTuMP/XQxbT32RRHhEg9OKodfAjVbJbptXmRPRW+K3F5jHb9jR2fAtiYJR3Dyzi9zSLzrd4RR+OfQQi6QejFCUMVnPTfu6nX2FMLe1vyQyaZracRW8fdXvvLh6r4e1TjeH+7ZkJdunzRmz1X0PkdvXU1bYPfrJC7E2JysIzvHOcbHUndw28Z2FWPylpX3avTtL/VfRv7ysvXnHbTjcE57RC2XS2Vyug3zIu1M7QX6q3VeDQnwUSpvehf6T307kVSjA4dN5Ik3LTdCGWFjgF/xRWQLm0bvMwzzS+7YhTxNxV7bib1eSOXpSlBrJbRE9S5Vg91lDdXZ3jr7PsXrfC/vk/big/xECoQeMYx1bM2G0p41VuK1+x6/xJ07211vTvY1b3Y2SVZF5iHumSFGkdlJVeE+bW93eeKpclV1y0EErGfeOJvcp1h1VvGtyhvv+rG+9kVW3QB9+zd308HPe8NPIk+v9KmdKDSojRNSLbOfXySvX8rvGz0lY+FfZ6Sd2qbbwbWJY22+a5ft+GxlYkaEfR3v9Zcy9U1f2xNBd4vMyfvvUrps0CGJlxM9T404aqn+/heA+85FjeYTz+PexlQ+VJvezxr30yydblxFYe6mxOs8Y8QEiRIgUAgsaPCiQYMKDChsiXAjxocSJISBYvIjxIoKMGTdyxOhRo8iOKYj9o5bio//KkB1bglQJE4HMmTRr2ryJM6fOnTx7+vwJtOeqf0SLGj1atF67cvXKtXvq9ClUqe14WbVKC+vVrFp5cfV6tWtYXqMGLVpk1ixatWnRuh3UNu5ZuG/ryr0rJa9eKVry9vXLV2/fv4ELAzZMOLHgxXv/Ku6b46FCihErU76MeSBDgw43W2TJ8uVnl6RHm4Y56V87KR89hi7NEfRICAhizL1tVk0Q2kF7+w4aIsNvmcGHG5c5Cqnyo0qXNpcalarTrF+rbx1rPTtYWqPWvmV7163d8eHL1w3suPFew4fbK2af3v3i94TzBrEccXJm/fg1S+zMWYCb/VeQaKfRBhNsBsb/9pEW9fyziHAJhvYaggl+FIIYzBS1ilmTbNiOHMeNOGJ3xplYUwztcBMCiToNtVyMz01FVY1PhWWdWNRdh+NYYJU1l3l3CUlekXe9h1iSSQ7GmJJOItneYZANmJl//AlIZZVaEmjQhRae5lprC47JUQzU/MNMSl+uOVubC4bEUgxEbVKTGEQt4mKeQREziHF82jQIUXroeVNyMS43I41ORRcVWDry6Oh2ke7o6CbeGYkpXUSWl1Zb8j2p3npOFoZkqUrGp0VklOl3JUKt7teff1xWOVuFXr5m65dhfrSJaqwdCCeDbgo70p28zZTaPykQymxOGdSD52/PRktTDk3F/9AsTTAeilRz0dloI6WTjitWj5ACuSmmmRoZXqjuPialu1GC2uSoet03a776slrQq1li6Wq/CLE5LMHBTnjraQ7+s4mXZLqZq0V32pQCUVJki7FMENDyT5++bdxxxjsZyi1z0NEoHVWQfrUyjyy/TBZb63I683jkMYneevXJZyq8n+b8M85SqCrrRK/6G6tkAAesr0QPE3ygsLg6nFEMG1ITA5sRQ13ha8baRJQaOSihRp8QyFHOP6PMFMIk3PxTDzEX0wTBIGfWw8zQYtTU9ttxz41ABjlIUfZGcjDzIDcizkRLO0QR4xZNMWxyNzFiHItA449HLjjh1M6kBC0Ptv9DSxA0pcCXHkrUNorj9dCybE3blpxUjd8udXJVXOWYI7mS/m4pXJrW3NbMw2MqKmBCC83ekvM16TO9gOXAX6vWM400lv7y+++qAl1oK4UP57qrbBalVo8aY4rv8NQQTFxTDkTJYRJRIdRP1LI5PKUFBCH0OgrehOBMesgABILAjHLwolr88x8AaaMF/JlpFDlAgBQeNCiZmOVxaZnJItS2LKuh6Vgb/Aef0IIALWyIKDVJDTUqmIMNTWImq3BcxwZRDvVlgGPlEA5NSEY7oiRKUTZSoLl81zuYjQVIuElXXNJFPJztrF7xAZq9orczU7EHX0rbUtOK9kXvUYk/Cor/GtVWUjDYKMFxq6hITIjFPtJ8bSYQMAk3ZAIjaoghBThcYAYct7qZmCSDHFsbTUQ3kz/+I5AyGeRMDMUNRmbuH+WoCfxmIgUWzkRO/9CCJSFkExjRRA2q8eFGHLc4BFQMbgHcJFH2pq0gGuU5t0uZVHYHKSS2bFzBqwvx6GK8msmLSVps3hR/Vi/pLYZo2xujF5vpxe5NBGLEepOBtuY+joSAY+3YzdOsWU3aXBICOeAFJbGFgED9o0U1+WAlaSIHuFnkQauoSQbKETt31iSe9eDNB9dZE3V+0mMziSc1Pvk5BBCFoDMRqMbSxlAE6IGSxyKKIWlySeTIsnbgqqVU/7SinUeJlFzo+k7NgmSX4T0xU/AxJhUZkx7m0ed50FPe9KLZxclUT0tXAhDSspewMm4NjmkMjRwetIiomW98KlFOO6ixiNgh4J83eVs54sKxf5jOhryQAzoRcB+ZWBWrRDFdOjVJE6piFJQ0ycAeB4pQm6gVrESpYLXKOpOMymShstuoEFP2LUYtJVKE1eVII9XL4m2qU7jxpWLTFa/IBi2ZOqvpp6BUn1TlVEA9FWMXBSbN7A1IP0QtzcFqVUapkSYHZ8IaabIJTo/MEScOpRtRoHqXZS2sKFVRgw/fd5KURlUmc20oWvcaMpyEQApySFZC+RpQtE70H5gLnKDymv/ctSYUiEH0Fri+u8vCJjGXXCnpSp1IM8bOzKWTnSwxrbi8ZPYsL6oCEE7z81nQRtO++g2QhboGPqptJI7tA0kG0CeHM34TJHqV63GJY9GdhGARZzJKOyoYggjrpLYefHCDIaCHM9FiEFqALnYTOlW0chi7BG2wifHoV7h9V7C4q4qjxjveR30leCslXmMVKx6VkofENHVeMYs5r/lqUbMU+ak0+wtGpj0zad8Lp1LFBCYr7+qNGFFC2njhRtSi8UKzvcmKZfKgBfYkA1pwG1GYgWYT7qS4GvRwdmUSg7SNwpQvVuid6/yPmUy3usDNoJ8jeuiacJd2Q/wuVXIcXkj/U4eJTnTskIQrXLksIkqZTd6RLQtTUCOTvlGWMpWnDGX+ivazAU5tgc+4ZZiEYCjt6F84ARy1Bkc30DYxSTt0Ug52jlKTvt7JmemsV5Oo+cRxbSdag1DX+FmM2c2mYYy9i7uoaFtlupR0eMniHfSaVNPkduKpWio9KBUZyeoeDPXy+6/O7uu+EMnelahpRjGviXxXZipGxPCgTRjQjLAFk67T+mCZlPgfgENWi4hxUYz+OoXTbiE76XxWXmN3htpta5+JwnGa1BYCaTO0TOLZjor+OdE/vLajO2pjw8qcZZIq6UmBfF7HZvo881p3up+XRVDH972kbjKU88VfzHCv/9SbdZqAwVlaBXP5QCWhpDdNa2VyEoUX1a1JrwBqE45xw5QIkIOaU2NyBNgp5GInux5oMZOvS1WjYJeJ45a9t7ctOwPESHNN7j4TWBpK2HbqYSLTlsoMq41vGra2X2lpS5Tp7tveBmlYEituxpJ75zh/S0urmGShe5pUL5WXeoh26icrXXuwCiMZs57vNGI5jgTO1SCQKvsLZajCEOqfTTKghgehSQxk34g5mbGbCY9dJmJoBzFW4c2jUsOUO0RT8incohAE/83EV+X20aQFH8aT4RBYBDEgYKd/iCgI3FgEKRcZhMWNnzXmj8FRHxf+OjOjgjEwZ8hDVxSLYFdSYP9OC2VXCLBoJdNouUMjI4VLM2cu3JFzQtJ5mqdzl+Ypn+dzn2ZTQdeBG7hFlbF0Rrc0R+dZq0crpnFarhZ7UBN7Q3UarHUSWYNlWvMZttFYxadKTzR3gYc4wXUsMdAnarBC1DAIXachDwJVvJEDPIgAShBuwyUTQWBO7SBwCnc3vGBWi1AP9QBmM0GFqiFwQSAXUhUEmuOFDScHnTIIaqBBbOiGMPZ4tlNjDEg6Dogd4xJSP3KBO8cufxgeQbZpNlVZ8iVqU1RFx9Rpo4d6+1Ulq8Z00GRqA+OCZBJr1wRrrfZfHHFgcKMH3xQ+ICEyo0iKpUh3G7WAjmZEeEhzrZj/h1eRWOpSgYKYeZo3U6CCRfD1c/FFiPXBRZM4giZoNElzPcKYJQohVK9Wgy6BawumghCwRiZEg/62EqZojddIKLPTXUSEMt/iMrlEXt94Y+Y1bkPGeeUoi27RcxxYiO3ogc3TXujRiPbGU6kXjFsiiWGGiVjXErG2gqW1VJd4ERnQK/UwKFPXb9iokAv5GwnILTPCFIGVO4a1I5XHI+Y1gbIYiBaYXtGzi5dVU0v2LvXyi2GkeiZJgvjlTA+Re7Andfv2klQTjcSQNUs1Zl3HkDmpk6Hkci8HHU0Rc5AWgeDIMrHYhxTYWOe4kYOogbnoXqJHiLooH8x0dPkoggKT/4869WSQWGVRFzGh2JIIY4lmRJCeiG/ks5NpqZYI2JO2dDuN4m0PqGPjUhbqlZEbmZHBNAikx14jOWrsGHqX1YhbiYL0xnTGOCssqG9juY8rSGD5NmBd5jjMMI0IiZNriZnXqI2MZoeR9xQWSVhy+YqWEmRCtpTlppQ2AxeLyGnIhFlQGY+sOY8pqZJcaSXGyJVa6TTN+I9Z5oyaGJMqUZbQIiGwARqZiZzX6JCH0mge9VFK1G15SCk7Bh5nkSnCY46qeZ1nAZI/B5vsVnqL+G6TaJgniZi2iR+/qZ7M+IyQSXCL+RHsR0mrAyz9mJz3WYqbqYBTUUsSeR2g+Tst0/8dKoWUPxaFlXYk7cWaHPiaohd0hMFFuol0n5V0OCWh/XU0XbmPlagrvhmcN2mTZMKFaqOP4IOfJ4oxyykjMOcct+OK4nhjQykWpCkzHFmaB2qgCKqOpRdqktVuPcqLzhMqgzlapuZks3Kh9DiMTgeD9algvbllzSiWMZEDviYHA2daKKqlzKKfD1lELGpjcimmkbYydYmj65KaOrqXfUl0uAh0V/SdSVKS5XkZFUqnGXoQlumSvKmMo8FvNriJGKEGjkMN9AmZW4qoJKKiiCJ5dDgVu1R50MmHRAKI5qimTBmkftmXopKLSGZFQ8NZS4qhiGmk8BZaw6ggB1Nwfir/ln/qkhzaEZ34D6uwLMyYqLdqHF3KnAxIYyozpq8IgY5CjhionafpY0S2iG36ozzjc5wakk2CL/JGp4d5gqCFnqT1ngUTkEG1jNyKTQnSf3CzCBWBK7hqrkGxqMqRihL5mdGJhw44oNtprHcpTKKmoH/prL1IWYVIpNhTleRZb/hIoVrSp00Kn0V1sNWUTaEhBX4zCFh6mecqsTihqyvamR11RC8arMI6JJtHrMe6cz0aKg36rPHopvBFlXd6jAMbsKa6krJiMJm4ocPSmy5Ys5WYK8CXNiFiQK4xsT+bE+naLV/anzeSsaFJpl2RFbGoFpY6ZJeKc8nqnVJ5iDw6/yqEQaQXql/oeV+ihZ6icbPdyq1iW3B/apOhoQeO0w6DQK5A67Y8GWN1+KU1EqDi9a6+Y6b0qi4gm3NxyqzMOnQO+qx/MZ7EWK079a/Tmhkt6KFD5ZgIabDr2SYhkQF6kDb1sAnC9rZvK7QmU2NFGx09sod3myPDWo7Eapo6+hbMM7XvmK9U+46KCKqiqriPOKGbpZsEEXXuqa1TOqVSOhKrmiBqUGG0wBqb67YVy6hgGi6kG6N3ywtMe5Q+dqwZqK8me7JsGqeJMZiIC0bSSqreG4kAA4lhyYJ8qrCtFqLC228WoQUFWA6L8FXIa66dO0s+6Z8AKi77W3NICbUoZf+alkZk7mhZqGKIgXm1PBqhrbeyRWoZVjmtTydmYNmY62O+vJuMsRECOHRbg3CA9IuoyquuudOrNRaOegis5YIV8RrA/wtMNWqBl0JT7BikNdy6oNKvdVq7tpu4KgmzZ/uhkXuTqcq4NCt7NKEEoyB8zKAHHwzC+Gm/HOWojeo7RJm0HEuLfGupxZNS4OGB4KmpcIq9pEe41HqPwaikZ0y749sl+ObGYYu+Q9yCNwtb/lgTQbAJNuSFchAEOvjEaSnCQ+ucLfpo4sg70EudWrxYtEigjZUzrLmpCXxuksyX7VGSWuuIDhxvPAywGmrBL1mzMAi8c6ynMYETECAFi7D/Qre1CnIgBT34xwsZxX8VeR61iq6IY/9JXiysyEViM1E4bqMXWYHrmgdcyeCZw4Tpsp2sw+WJsEQsszProRj8qlDHE9CoB6vwNklBDbSwCGKgBJoby6QYyJ77uVPsFHP5bXYbo6brwlnMhjcqM48ssrFbskJKL/M1u7KCyalGm9XKzyYIvgvhu+wZvAadwXLMNS84zfsWFBkQBGowCbywzUZRDhDXhkoQA348ziXSlvj7USoMnRbJFdLbsdVbrBjoqU4pxtr7t7qYzMy8NAO9xob5eqFsxAq90AXNvg39pMYBATHAXJNACz/IHNSA0WowNBzd0ULRk0ULLtPpvIf1/xXu7Eu9PK+30ZrHPEz3zNKg15eRoaTL3DT9XJg+zJIFLXXuA8dFzI992qERexxBTTaDMArEQA3CN0vcAHHulypM3dSnKEsQ2ah1eEQb2ztYIYE4el7vbG6ShW5Tu9WTHZt80b2G28CcPNOx8rWgqGVurdNqPbnte8TWSNdiMAibwAvUYEN7TQybMAjgDMuxXM73O8Vya7R7+KtVTCnx6rQ1itXII5L57NWSDHo/inpeK7AyLb5lrcntK7wUTHsI3Z4XbJy3lpaoowWpvdp6XRQXvQru98pyjY22sRvDMcsyBqaBVVjlEqk+stg2Kq/BHRdg3NKui8/xwm4xTa3f6/+yXGueqArXgfrMwWmwZbueA4afGSDUEr0KzNDa380M4a0GGs2QmQQ3tCAG4uzUcbsoc3sylse/Uw08jG3iXGyj//uUUflenQqCrDtfYk3W/gzQrGfjtPkqcQ3a2apaCXuWQ+y4NHuuKUA2i/DgaXMU5TDh7qcEKTGKSoAURmhWPZHeqTjF7R2gQonl6IKXl6IpxxPPUGuvkWzM65g8XD0vcyqqqwbgXQtv2Hq+UBeW0p11ApnQqvoZbwsBRK4GRp5ASKHkqzAJSl2TeQLly9EOq5B/L9KW23axrzjSLaMdSwvPldpEXl6pQlbJsDuyhWjAUknDfpHcLfvPKHiPh9n/5m3M0Do+4E4KzXs6Zgfe0TFQ5EeOFE/FC5OgB1oQBLPdE4fOLczgwThR5bjtnOks1Zan7CisI1x+c5gOz/MaF/g62R4ZyctKL/wd0EhagjUtjN57j6Ktp48ptm4sx3bOmIGNE0QuBoswCszADd5NFEpOC7Ct1E0esRgeROUwCt3neKioio1Kc1Z8WHhb6bV4pqgZtSN53CwOpMNc3CAp4/Sm3Fvrr+Rpm5PRnq7qqq5O56ItxBSc5+rOEyEQBFrQXLa+HOVw0cxAFquwCgX4eMSgB9hS7N3YDkA5kZLCvxrr81YB2wePpjDMeSluFpSN5rDp0pGtbpY9qjV+pMvd/z3FmNYBxvExie5yPsq9KyYkfxwhQOtisIaj8OAJxBQxFiPP99EvF7oDD47uah0D6sIx7LGziBZofotJ/5qhDvFTIkZ2OuMBTqqkWsrWPd0S/DT/eIkiP/JenzHAjoo0b/NP7ZmCpbRZjvl3G/S9fLq+jLorfsMfqKmAeS+Cf+Mq2+14yiUxy7iPm1pxzPiwd/gd4fijqO+0w+/+LocAX8vgJZpvj9hyj9Ip7vlEQrJMr/QQX9lAl8NRz+0WXzSpPr6vR+CvtWAdL7mx/9lcVvsiA/lpP+yFsvZyW0tKNOKIbRXOXmnTSzMsRcZhvKAii8Ckrxcp23QyfZUYj5IpGP/aOa2YAAEBAQSCBQcWFGgQYUKCBxk2XBgRocOHAhFcxJhR40aOHT1+BBlS5EiSGZX8Q5kyZbtVWjKAXKVS5syU9drdLHdT586c7XLyAkoLKC+hQ4sSDWp0KFKlQDctGrQI6tSoValOhWpV69WtWble1SJFbFixZclKIXs2rVm2ZdG+hau2LVy6Ye2izZEixF6+evn+BewXcODBhQ0XFky479/EewUvpCix4kTKkiNTjDwZsuTKCjdzhlxS9GjSpU2HPCmT2aAgJEfRhF1z5+yes9sxPcpU91HeTZWO0rpVuNevw4NLNT5oUN2xbs82h84cutzo1KXTdRvkcGPDjbn/H3aMePvi8eBDWIaY3jPoig4zf474Xr3mzJfhJzydX/9+/hmloKxnFTFCGC2m2GCzSaeearOtnKSSEqq33iBUKkKiRrmquK+8Mg65DoWLapHmnrsrrrmsWyu661Cc662wcgivO8ZkJC9Gv777rkYaYxyssc44ey/IH+Obj0j2jlyvSIYw669JJ5/8KIdFWjPttQNpsqk2Bn3isifflsrtQd3EXIqXpzgs7rgPOVzTqqncctG5tlhU8brqTsQTOhh1NK9PP0PA0bwcwfvOyCHlG0i+IhFNEiL3knwUSfagpLRSS0sz8EqZEmzQNp3GLCq3UL/c7UHglNMQVTfbXDVV/6qqSlHOFuk0EbsSaWXxLO3Em5FXX/8EtMdedySULyU1M1JRSIEETdllF11PSIsupbZaaxGwUlOVOMWJJ9puww1MMsMVVUxaMEROw1fV3LCqNrmSLtY758Wu1hXzrPdFYMnjLscb+RS2T3/Dy1FSZA09yNmDFY70SIXba+haiSd2MlNtAezW04xvmrBUCsO0cMJTVXU13RCTw4pVD6kjMU5c2brrZXrlOisvHm0EONh9d8751/E8S/jZRpFsuGGhlXz4ofrio7hpp0nL9uJ/uFWw05vMJTPMcMvcDcOTXSX53bDbNVnEeu28t05Z02Z7rT159vlmxXQe9ObE6tbRYP9DIb5PUmmP7cw+9AJ/unDDYZJato2rps23jkd1PHLgTEYZbLJRVjUq5qybOc9YZWa7rF11DNTP0v/8t7y5D7sv6CGZhY/RwZvdm76hFTo8d90vivpibnPackuPh4f8wXKdQjNVdy1fvsMMlZtzXtBbhpP6tqN/e1iABeN+59Ph7rXQg/u2nfzAjzYfadr33r19wy32XWONf8K6/q1BhdDrV9X9GkTm91+eiOTVOQLWqkQFpBVe5CYo1PXMgYr5Xp8kYrTWAe51sPuM4MZXGdmFxn0flFjvtMUpLTGuNsSLnLgoxLVNnKx5XMEcmt4FQ7PRbFb44pytric9uGQvYOD/49XA5tavBRLxL0S7XbLW57raTXBoTIzWEyMGQipWC34X2xLjbPO4FCKleCs8F3H697zLlc2FaXqe9QyIQzxxbnotEovNVke3IIZPdUAEol7SgxmHJZGCTpxdEieFxM1U0ZCWEqGmElTCb30KhVlToceEMjk2odF/yjMjGVGlIjq9EV87vFf28NbAH5aye8QqJXj8lj5kFQ2DrITlwpp1SFo+SQ2rGMUocKnLXO7Sl7kcxSQ2MUxhbqKYwiymMTehBznogZnObCY0nflMakrTmtVkphq0sE1udnObaOEmOL3ZTXGO85vmtMs2xSCFHLTTne+EZwzgOU961tOe98RnSDtTkAF+9tOf/wRoBkIQUIIW1KD+HOhBBVrQhP4TIxaZVkSnlSj8UDRhF4GoRfGTUYxWNFEfBSlIPRrRjoY0aB/laC1Vqp+AAAA7
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
R0lGODlhIQEFAfcAMf////////////////////////////////////f39/f39/f39/f39/f39/f39/f39/f39+/v7+/v7+/v7+/v7+/v7+/v7+/v7+/v7+fn5+fn5+fn5+fn5+fn5+fn5+fn5+fn597e3t7e3t7e3t7e3t7e3t7e3t7e3t7e3tbW1tbW1tbW1tbW1tbW1tbW1tbW1tbW1s7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7OzsbGxsbGxsbGxsbGxsbGxsbGxsbGxr29vb29vb29vb29vb29vb29vb29vb29vbW1tbW1tbW1tbW1tbW1tbW1tbW1tbW1ta2tra2tra2tra2tra2tra2tra2tra2traWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpZycnJycnJycnJycnJycnJycnJycnJycnJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjISEhISEhISEhISEhISEhISEhISEhISEhHt7e3t7e3t7e3t7e3t7e3t7e3t7e3t7e3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc2tra2tra2tra2tra2tra2tra2tra2tra2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY1paWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQjk5OTk5OTk5OTk5OTk5OTk5OTk5OTk5OTExMTExMTExMTExMTExMTExMTExMTExMSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSEhISEhISEhISEhISEhISEhISEhISEhIRgYGBgYGBgYGBgYGBgYGBgYGBgYGBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEAgICAgICAgICAgICAgICAgICAgICAgICAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAIQEFAQAI/wARCBxIsKDBgwgTKlzIsKHDhxAhQvjx4wiOiUd+XARR8cifZ4cWQgARsaTJkygfQhi4UmBLBC9jspzpkiZMmzJr6ry5c2XLnzpz8swptCjOoz1ZXnl27AiEM0yPIADx8c2Xb496/niEAuYZDDzDGk1KVixSs2XHol0rlCbQtGfVyo1r88epU2d0Hrn7hWzLL6c+dYVLmO1ZBJfMdYXw6dvgJ68wQDiWleDKK8dgTD0FNuHcwp8Ng6Y7eqhl0qJTh357E4e5f8c6w7z0719ftwQf/bOHo7RqpDmPuMuL4M+/KwIPvYFJGcedR18RoHjyBcKRW9/OPAH7449ykqtRh//3PX4t7t/kxR9mDeHWP3c/BmJ49u8a+IMtdbvr/bbt6aDr7YQABsecAgEEp5hzyYCnLHbMMW/88ER2CODwyjMYWJjdFdb9cgUMj3zSGXvqpWcieqmd51OJKJbX30Bv1LacQML980lMIKAAAlC68VbQS/9hoOOLLLZ0iGM4HPKIfUc8shKBNzJX2Udg3XENWAg+88UXf7jzhE0tFinmif6RSOaYhhG5kmv/vNLSHbshB9MXt1zzzTWvcCiQfr0BJphLj5zyR0tUHXPnK04BmJSZAv3gzhdnXHGEOU/ccRsEz1Q22ZRXFtcpCNfcsuUZX2jmIpqnnilgWKah6qpfbr3/8o9jMLlnn0Bv2FPbru7IqV98PfY2IH3HPCnrP+boOhxu42HwyytczXfKJSRJ6RJlAlFZHIYDXvMJQkClGqaq456naLniAskornEiAMM3/yw41TWz/vHFI7q6iQCf++4mLAb0FovAHbo+AsMT9H2j2aoqCUTwJSsdYs8hP2Frracr/dEpBJc8Uy0MO4KZ7qvoogZcTSOrqi5NbC54RbvSXYKXQDjA+8tKwfa735P03exsfZ3l+s+MMcFwREZHI310RT9gOZBrt036JY3f/HLRD+b8AgMKpzwKwRXffHE0Cr88gkN3g61McsollwUruSMTaVZ7sIFAm8csTffHKfT+/3Ozzr39KtB8sEGAArzHbMllbfKi/Mo1D0Yu+THPXLPwT0dUi8ETPk1E6hEYHAHpDzBseYVkVzzyBkko/KH6YCivLTvcYJ7bKu24hxVjr8fEW9NStblzja5/55zzsH5DgIM7uzb/j4Fi3XIHCNRXb/0PzwjL8PYRyaT2irmzLe7b54ofYIorwfDaK+7YM7V09F5zBun0Fv9e4PfDRPgxFb6WOKmKi09QbkEchKDgGPxR0X/MpDbPiGx2bYsgkAgTLgiOZS4/cY+u8EYjXf1BIOpLHuD65T4QIg4ChLtFS0J3BNixhID/uQkKsney8tnwRStSiwQtiCYK8hAucisTAv9iVBtNIeAHujrGFa7wi9rYDz4Dc+ISj/ULsPRodTD4hD28FLv25KUtMEBgW4L4o9qxJobeM5f5wncY8t1uhz5820vYVMKBoKBvytogSXJWs+Ylq3DSoY897FREosDwKDMUVgMnSMbb4fB8i/whHFklmu9J0pE19MkhoFWtljzhGOYwxy2ecIjAaOYMr/gTAjATysRtkmIgbIw73HGM6LDKi3MDIQJnckFFEWVVkZTkGstVogqqjJdlJN8EwQQCHMBANgeKYYZwcJ+goMCZ0OTlIZOSSAH9slXfzCUQYTXMcpqRNMN8I/gm6cAYguud0ftiDMN4kWLa0Dw6vOckzen/tjjaLp37FOc/kQnORW3TLN1ETyPRp0xzBZSNwETnAsXEQIg2tJ/fZA8MwfcSeo6JUb9kpEPDyc+HolGiNymPeUw6njT60qAFRCgNW1oaSw70pSUFKE1PdMvYzS40aAlmQV1yyDN6tG2fIakwl1oYe45UjUE1SMps2lMTkQiX30uoVXsY1TN6lakR3CpUn/pIi2ISpDV9YQFz4tFlPhWTPsznV1l6yWOm1GRq+ilDMVrDlG7Up4HUHkx+cIUnVCsod3jfuET6UjnSNXd2FWdGb8pOm6IVro7cJlvFOLgQveEPiDIIDq4hwFQ1sqIWLelHJ3pSBfqUbUPV50Kv+lcA/2n1D8eo1huOkbY9QW+1cEUtZXPKosgONanJ5OdOe0nUtdLkqBD4ReOWh5yWzPBLs82kY29KXHLptZKuXSNzwUtev8qzJwmN7rc6+EEYVVG22o2qQgHbXRThTqn3zK5Y5Uve8eKSLG0dImlHcgh3hORJv5iRXVHrX7COL7KXnexDG7xd/vqkqDbRKgT+cItD2Osb7V0lB02bX3+q08EmgyN+gwvf/a5YwhY+6Fvo+ZORPNM1ckJQSDCLXBaXl8co7idSx+rjyy62r8xtcHtuY0AaCiR1b+Ig9rRH4iI7dZ31leurXrxd8SI5vjG+xBGeQOYxl5k610jgEa7xBRR8wf9DgPqWl+Xb48eGFcL+zOt9v1xhuUzGHHcKtJ0GHUoBNkpJfzD0DKWyZzqjdLhBpuRUicxgiFLY0RS8xR9QwOmtdZrTR5gpS9T1hlvIZsKu/bGRsyxV4AIZ03O2MJ9VIyqFaDiZpPshjJdrZ6CqmNJd/q6sL5omDLMKurZr8a+PnFquDrnFEo41l1VGwG/SeJy9VnY4T9xsvuK5vHpe9rDD+l+RpjfY3V71W1kt5Cq/OtrCZjVWCapVfHY7tlXGcqQb/e7wxtvBmj1NgJkF7Ea7m90rfXa/GyttFJc7w05OtroX7GpuZ7u1zF74cf997/+iJcB6nviz3f1qO2+54PD/5re8a2uaeoecqSLvsb7vrfI8N1bcWQ64TgYOa5jXvOO1U3iE/f3zbM/bthFP+WNj3leLqxbnNsf3yYHeXKQMPMk+F3fJASr0qOs34ys/r1jq3WpvYjzfuqZvXScNbaJDveM658nVD/aEhYnlDVPrbsOpfvZHD53hHDe6scOiVQyA9g5v+MQdJjhaQy9d2E6H4M8p/PWdXrxWMZ0xZxHwBcvpUpHJ0RfC2a5tkk1d4+EmfdgfqNU7mENYILAaQWYoJ74rV+2QfTvlS59W27McSAHGwTNAkrozAOkN7+X95etc39P/feNFJ67HTWO4iHP+Gs8QXnVu4iyi2R7yc2Wn/+75XHmnLn/wHd3lSt6cub1w8cm5jfTtC37nroP75qp3uIxnkt5frHdeO6ZjM7d8aXdXuZd/9yd139ZrtZYQB6RIt/B/IPAMxDFl8rdU5cdT37Z7W2d+K/cISROCSdN59YQAn9RmMFBK1RIiAzh6prdtsDV+F5WB88V3ziI835CDdqKDObgfKfUDSqI61XJdF5huETVtKbKB5Kd8zJd17fEHMBCFUogCUogwguUSx2dqyUSA0VdVQqVlSjiDTOh3MLdktqZ+76QR+FeE9ldX9seBTBd1j4d5ZQED1sdRrOWCXchiKiWDw0aDTQh3zqUT3bRr9KeHNWhvZucbzud1Y//4fXGFfgNxVD7WgZCYiEYRfvblh/gFiGzoH3QIYE4mN5eod210VfTXiAkYh1z4GxdGHOzxgC9XigXYcwYIaX3Xe6j3iK2YTxiwf3K3S9CHiPNnixr4hkvYi9/1imVxawqojHs4iyF1TmH4h7RocHHXEleXasQYeLPoNqB4cI4IjSz1e3ljfWt4jW83jATVQJKminD4ibLjcZuVQJfWjQv4jTdEjWA3juQoXpIoEGSHhPjYj4DHjow1ecn4jy8IjNrIWW4VdAxphOzIX1toec9XkOZEj6ehYRgAAh/5kdHEEniXixPJbNIYZNOmkcJkjpOIhgjzIL/wICGWPqR1iPL/KFYpKWTIqI59uEMceVet9wc4UJSQIRUvsUl46JPLeJDjxYk5mXCjZhJFAYwvWU/K8xPKMRMTWHssaWlOaWLieJJzsTlk9gRvcAdH9AiX8AiH8JZn0BUgcDRnWYJzY2xA4XICgUqnNkTJF5Xzt5MWiYBfuRZHUDW3cAu/kBcgoBtihgNXkJg68gf2cAlpeQqPkE1qNVQ8VyHPwGgrlGC3CIpYKBJMGZbP6FZjWZjf9ARaCD6Toj2HsxzCISx3BIvahJstN4oucQluAhSf5EL4hANnmTooYHhs+QjekWisGJioeXEEGZWuiQJjMxCxaUffQJuvNzjXUJME8YuDGIwJ/0Qz5uBcCGJEwTWTiRmBO/IE5qAlFHEIbMaaqGlkJsmBZHkUh/kHb9AxxocAwpE5IJBFv9AVjsIfh5l32sRkB+Fyf2AOl0MzSRcXo9Q5LiFdBHEJAvOVO/mUhOmGCmFkOPAHWHIJUCQcmPkL3VktwvEJ3qFpS1krj0ARNFqjP/AFosYcncISLOiKv/AExFmCm5IbsXGatqhfX0iGj4UBTAqSQDogIEk9klFcJvgPaikcPwABXzAxLSEcX3A2hzU3oJSDZFqmPeh4GEAqeXkMilVJv3AKn/Wmi+F/1QMVMZWfFemh8Ch5H/ELM/kMWXoEr3AMbdmWdicaleJJ9qCd/P/xCL1CI9u5HprmTEUJA0VJqVZISbrzmvoEE4lGI+7gJNGVKY0RWqlZdtB5kFK5mj/0CWZzqS1xCrHxkY+QfGohn52RGL2BpQIBAsfgebxKfQN0pwXxgA4FoIZWad/5qwdCqIbzq7AjXFNZEmh3qmDJizr0CW+AQkByCX9jghAKZDBwCol1CBToLp/gDpcgLD/wDaLyCebwCaC3QEEpd7z5RmIIAodwOQ8CFoTaKOYgevdEnWdpKTiwNGBhNBnxHJfgYR4GmlP3dfc5a+YkM3fgm9MjEJ/wCzBCK4UBAlfwBmewMM1UlGlzTZdKTSEXkO4ijJhWiepzG45yYP8KE7n/sq0s9gbuup5AegzDsRJk8woSYg5sVhEaE568pnHrOEyHQC0YcAXm4CSI8QxkdgbHsHgXKZERaZo9EXcylKMve0Yo8wefcAVn8KYgeQbfkDhggQGnkJ0jQhZ3cCMH0qXm0F4o8AkLE4G5wS0GJ5auNn8hAxOvoBiI8Q2IFyEupYgxcTSHNY0AcnQGSImG6E0Z8iGDdQZvADowYanOtEJFKVQXS50/cFiP8A0X8Qi1538EYa5OQ3GqpooThgOwY6Ka4a2oSk7nUTqbq5lVNRReC0L3Wrm9CplncAac2xCMRSJ38AyIJ6tT46uv8AUQQ1SnEKU4qmBzlk9Gqhbz0V7O/1KkG1u5CakuvJs5uciMREK5ROYSl/s5KJCJBNViiTogKjoYk5IZL3QNIRIqiTKxcUSfZ8IxgoECrtcXMPAL35AoqZeOLnG+pwZSOpd+46lDKASZVtFCVHWE7VsQlMnAb4oyt2AgZON51lqDQCXAYZGmbClmMFEpd3AGnVRiLXK+YXoUkpuX6KhO7zs/8Ytxo+mFSKGmDmMPjIYArEsQfHtEARu3y/aUeDqYI4kf6fh8nQsp6BuirxCeVykSPazBWXuLmsq9hPsKgzOTnZTEPhHCuOIO3vm3utu9b4UTW0NVSAouP5CWVZuWf9DHfiyfaplL73IJflzIb/AGhXUFiP/XQlScbLlkwRlCEpDxBVegodGrs8+gJ1qKfV+AJY1xB75brRYZxZBLJEeAd4PbXxIJE810BWR7C8/wC4p5C68QGIHxCbicIIG8Ku8SgZ9wy7/8CoOamEzxCoeAvMcJT7HlTkDSwwvDu3E5ECX7uTCRsoRSlE7MdmRMymAGtCFrWK1Fmqx8o48wqExxCsd8BEuRpXVbmg+3m/YIEz7xi4mmyN5KOf6XWM+kmnHczDAQssjcl+4UdMsbsYCZdS6BAt8cpuI8EuR8Icfgf3j3TAQRRof6I7W2vi4rVVtsGRxxL+acz3U3pWFsEBjwzyL7BD98Pr8bftqMV3JMJm62uY//K1XNdAaPcAv4fAl30EJ9ScGnkUG6qcOCFS6vsBwR2UxfsEn4rHgqLdCsctJmqx3JvIbf6JxuZMcHzYg2/J0KDVo7jXdVjarp8wwXbRkdrdFXWBABF5EjgQNLHdKXMD+pPCAHc7wjnVwDvcwutb1NZ4nc3BOlMz8Hk9PnnFhjzVqiRbUwQBEiOGYQ8lK3+dgZUZTSw8+aOs7UC8vHoK2kcwR4TdF6/VpWvYhP3HRLqcLlASJ30dl0jdlSddKgHSi/4A7D9yBMMTlujBSukduTg9tEm0p3cAUq28gHISRXcAiJ+QlHLZwzV9DLnNntlLR7Fdib6GanEMtoS8XLdMGu/7yxTBGB9mIRnhaS1rOYUbVoH2k9ORKFhPUGgUI5x3AL0AHGqeYSd1AgsZxoAt2hN9dMMHAgTCMZFRHgOtlDqn0YoaOhx3AIoEO2q+zde4PP6EzcdR2i2fh5DoFCRtOfnH0Lc23fqHoGKoQCqPQMt/AGzk104dYkovMGhhe1TFqrpXXgPGndUAwDd/ALz/AJ4JwtUfIjlzvhsSwoH5LKfe0WLgm0E3rjHwnal6DT822ZP7DSBfEG+tK5O97j25GH9QkTp9AXCJKlgXEgRAnYd7zVYbU5n4Dib2Dgrft/hlMpp8DjBfIHH0LSo01ODWhAaLiIW5vQP4DTHw4dOEDSJP8+QQsey3cA5ylhR/pbHCFxQEv0n4+YkWgOmDrO42IWwQNBtgpt2MdgzMQN1RjZYRqR6mez6leQZjvBpERCu1o7l4ln5559B1k+dsjH5UwqGb0O67/u67+OQrAeRrq1Xjj6CDOMkqit2CrM5rGs4luYIYXLFJ594ZUIZNHlDmba7TsjHzh9CZewfTwRewya2vLxz8r9DHdyBXXduB2TJ5JCo0hD70zj2PdeumQzGBd7oZkHXCms5qC46c8gZouk47AsPVns5dz1QDDxC0SZshK/FNqDAZcgGBhwB1z0ElZ7H9tsONRLOZfw41KFAvL5DHkCktwa7MTe6y1/IKcgQJ//wGR5ArvEVJiD8wRtnuK9VRAgcAbZLT12+ZwiJ88d7YARBzYkewhoKj1lt7gTBAJP0DENnqU2gRlTH+1n3RBP8Adzqey6hLVL28jNeUkosOudDiYYsBWxzPT9raplVUltLZ438Qm5dbCOvhKhthidCo4g8AUXQkDCyURgcfac/r8KtCKQ+eOb8wfRLLsuja2SlyQR3ejgYuKwfAruHtTxBYMEV3XdHVgX+gx9fAjS9bif0DholeSWMaI8DoKdQfjyofMo38k3t+GSH7tRDCK17+mD0yRM0ejuaIx1JsL/TvcD4rO38QQG9jSAOsYoJyBSv/MqLvutfwgRvX151cBt/xj5ZLkUr8A5MXT2md/l4Yxu49YfLqnhD7+j8yEwCLBJ7SiGaUHwD8LQdqQxn7Dsf1f2ygYQCAQigCCwoMGBBwkmZIjQ4cKHCiUy/HHtDYaGBI9cevbrDoyBCydCHHlwJESUER0WhHDrTMiJKJ7hGHjoGkYEGK7dKoji2BWVKE02VEgyY84np3a+QREyJI5fn4YKJXqUatCrJ7VWxbq1a0avCB6dKioQxZlbzz5dwZnyqtGVX+NmNejyLQIYx3AcxPGT4BdzXwSe+dUWLt25iYtCgHHn17NHR8oiqAhS7uGpYb2GhQnW82XNnwV+OgTzx6Njxz5u3cw1NOa4LV96lv9Jc+AR0odenSmI4debzsFhgz6KIemz3SBC+qT5uiTxoK1Fv1Y83TqEU3cEYrii9BTb4GWpZ7Y+3KTdiQfzNh+IAccP5QKvHGtqdDzX6jBx/En9B0bPmaBDbLi3pspqsfKccktBBoU76ZU3IPjisUf2Sgyh+wq0ykDyZHMQgdoeUvAN4DZM0EACWQoJBLQgg4G5DCdbsMHnonPKOQRA+OGII3544yUdd+wRJMZ+ELLH+jjD7pNXnvmjvg81FHArDGTMCj3h1quRJfKklJI6t4xr8pBnfphSIBB65PGNL2Aw8geMUNjxv/yULE+hK775Zc9fBEPhEnceueOPU/5w75j/b/4Y9JNjZvsKglfc+cQy80601KEfTlEOAh//AC82u2gLkEARM4RLxctSkvAbc9gT8Aw9+byiL3d4A/GWW8zkUEAvh/rilSohEFYgwOr74ZsjEDiFp+3++GZT0RB4pTDX8DNVs7GEvWOtJ355JT6hsDRwvQaFs/ZSBKtDEYErzDHzzDfIEhanI9z5w6xPbPsy2iiv+jVIcNu1DIVvXlo2pDuOAfcuSEs79dJeo4XhmWRh+OYJ+ewRLL1QVQqRSwxCRuGJ9L5Itt9rSz1KPWTPROCNT4LECYJDvvkBgj8c/Uw6XhH44po7tvXL52/qyzNZRnl8gtB300X1FYcHTBm6/ztuwQgHc0p84p97IwoVRXIFgorPYx4pC4ZrTp464qqGQvtkXt9w8o5TfsE4R2+vkEokiE3CcaEjDsEIg1e++e+KQO845JY7ClIq6DseYdxKBV8hK7y+M0ezUYOOiO8Qd5Ll2FZVQZzpoB8ofjPJhf54BdW1W1t3oB/cLff2gpYe/Jdr6nvim1FR3vlGuWQ84x/BAPvCSCgPHuiO0AnCAAQQpre+euo/MeePhWOHmFiFFTx2b69nA1svg34obFgFQXhGsHNdjlihIxA9Ynrsr9c//wbv+OduCPzicg/j1a6wcoUvHOQLGmOXOaA0kFO8biBX+AeQznDBH2XwDD86w/8jUNMnw3iveAZpiXZQgoJbfEtBLOnYUACkr9S94RCnuIRtDkKY+IhwXyJCAA4ecY1PXOIOF9xgETV4xDOQjCAIPMgb7HE3aZ2CgGwrXcQYxZJPGM5n5qDUQepmEkDpinpjJOMYT3EGEPyhI0whHhVNhYAjPINSYnvFIzACn8xgSUTkKkhf7geDW1yDUhhgnLl0WKPtbAQ5R4DBLzxXRkiWsS2vuIVBXnENEBxEgNXq2aV+sJvAPeMlMDiFOw7RxSc8wxyX+MMfPvEL0t1OIK8wIQocU7abCU9+UwmiQjDwhVtcBAOZgpZIOkaVEG0nYPYwIQJSyboUaW5BLGrSJyT/AyL0yZJBBTnCK0z2iPehCVbPeMLMXJauVOHlCzmzjZyYlxA37WhHOOjezj7RNTR15xq7eeAhFYSDMiHkCOaIFe/IJ5GvYUggfMyRhShjD4dB4BNmG94urTJMcP7iDw7F5rvYphAYnCFng3wTR6fGvhHOiEba5MwlLrHC/aTmEvfTpRsN4rqiBElNP+hnXXSmoGQi4A7PiM8CgdLDgEpNmkVxzxvS8p2FiW1UPJsdDy1aOgNWakuIYQ27rnHUlHDnEx1ZzVKrQsijTqanGGLci170A7eiAAZx1NcTjnG/HxxDhQiYoT+xkqOk6OkO+nIKCCLYlpOYi6V8s6lVoZPY/y5Ftl8EucM1KmQVGDj1Gaf4QlTPCU/YDaSRTXuIb75xjGuwiqDPOAZrr2G7gzzhEJe4Z3xAMDS/LgYHh3hMaqDE1C8c4xY2FA4GXrQiGIAkSP8BmFv86qVoXgiRNermMy6Ry4wM8xCpiYxhGjsjF9JQPHX5RCm/8YknGAkH600lcaVXlDdQ66oFOktavImCK8h3RS3iXmeYmt+XCuQ0R/jCG2DwCnMABQVRgWZWweS0lVX0owolIASO84orgKssIOjOM9qKTjvlhzLX0JdE4ugOJxF2IDAqV+5Ie1WmPmGsGnVofhG72/480Lk3/YRBzpiTT8A1nCg4RD2/C1nM/f91uvGrYmR/QKZjbBTEjXlqZ9sYI/+eoscK4XDh7PEIIy90qheq6Xh+wB/rPiGqNs6RPr0Z1fGGBGZm+YVt/lAawsDgDy8+Mr8MiCqlipirVsnRr5DzhbVu5zTcpak0D5O6d9kSUd+BZZLDti8H84sg9UXOGXR8kCu8IrNpmWmwIFClkJ361KhWtUDmjJfwvWzLryxRpuXHWFs3FslzQaR2GR3CFX1hrIwzqYQB7cJPBPmHzziEhRL6EIY2+coJGggIZNwRKZsLBgX+whm+cAUj7VSe8uwRuXkqkG3RuT53CDBA55jrB+tSh4pt4xTbfAoPlxUspETxGXUs3Xo3yx7/emKjT+kSVIBHN0yn+YU5rlFOc1mbI28OWcUtfnGMp9rVPc7JKd51idn4JIdmLSCTqTPMN10QAu58E3wIvS4qbzbDbWQab9Uyc3nDBATx/cY3bgHnFipIS7qOlnscs9l1SlBVZ37MJSDeYm0aBAOXAJZ87pAmMC+RxM+1ElUz9wRzkE0web3GIe58imMk0L9FXzQuEYsAV6LpCZeQaYYhHJH9XOMaNUylR1loPoa8sN7wVlBT0xJMOqGlLJzmZ7U6xOul3eGalLkCzs/yB7Xntswk9xmwWD2aXyTEJsVUOJq+gO/f0ImvHK+23lLziTZRLie4Ad4dkiRekhxzKgz1//o20/SHww+2KIrfzrU1it1AJ//l2+R8V/tsI3Z96z1t+UQlByK33xJHIpl9DFTj7hZrP+Ixt3jErKpUbWD6/AverQhxPcTDlQfPsS1e+Q+Eptc34MC7rgZWTNMc5jeaMBGbt7t7PpT4GUVhlKNCOyN5ArqBm6jTJoxKDeTwLqbykVdirVM4BBk6BnPAMIxgHyy6BInYjdthDqgjiHkBAbkisD+4hLRAjkO4AhRAJ4J4g2+4pMbbPHWJlj9bIeY7kwL0p9NQDgw4hW+giU+4hlb6A/GLkIZaLymcQiqswiqEAdlCLY/YCw5bF+O6glv4B3vYidbaE8uhIZd6BNcJlP87u7McNDs4bEOzu4RVgsM4nC2XKi9K+gUKPAYBeoQz4Kk4a72xsi7k+6wIU5kqGoh18o+naCWwCkCui5bjEYxXkrPo2bYv2ERO7ERP/ERQ7LYNsq+agSKUsLZAcgkUAIH3QKA3iBxzmCjaYhItS7bqe4VZTLZXsMXyuoVa5MVk86AcvIMfuYIhqZ6VCgkMOALUOAaQ+5EveAL9k5GTUokuYaww/AeguKF/+AcpcrTmmw4CUyB7eInqw5N/qDVhWUd2bEd3fMdhYQmmQzFEUwgUeINJezoGyYt3Cy0VQRCUEhETlCUU0a7uszJhYcUn2KBohIFMGrxEJDwle4VuhJ//wejGLSs9IAzHoKA7lqBDkPgigwijCCzJcjGOb3CHYzgjZrwGZuOoq5iYOYrArluhYAo8CksIa7M5f+s6VrwChnwCh5yMrYquXZOWbtzGi/TGIAQLYMvJ5/qBWzCZP7gG3oijVRqUS/iNa6zGlOCtMzgGe3CHgTMw2RMzInmY0KKK54CUl5A9CNARmNHAM1C92LiRn7yghjy/jZRIzyjBpAyJ4/kHjruCP7iI7XgDTxGtxRGg9TMkjgQpkcq/PuIRy3S5QZsvATOHZ9gnoGQUP/yEO5gVFAiWkOBHk0xNgoAQmDg1EJirM9CN1rqFQ3iCf+MZg0ABHABKNmEkvuSk/x1Cp2xMoHV8g26UIkj5B3OIDxQwB6akjGfoxm60h0sIwQEEx7NMQRT5G1XZLVUyh8nLiR+IzWl5BtbyxYlSlKq8g018Avd8T/iMzyOIT/p8TwQijE9QzNliEj40z1sQTaGMs6JkrPbQEd40GRjYP3pLxhWiyH+4Bj9MjWs4zln6h6IxC+eUIt9QzjdIim5spq4kuR+8S+iDroKkPdWoH4u8EQyQk4W8M9qKoOq7BT5MDRtNDYe70Rq9URS70dTgQ1xJtj1Jz950SAXlDIbhoen5AaC8ApYIljTZPriKR1U7vyp1CAeVTi0lzNW0UObMUGeyh39wGPf5h2NIsuezQf/l2yruLLRfUL/4+INfGLmzFJbKC5aMA4FgyriKAyg4yThh0c0n+JEjqMFk3E6c7KSQuRUa5UPygQHacsJLeASQCLXfuCMmcdKEcFCoeYRDWBwKRcoLBREw/QMxHKz3+AXlvE6XMS6J+E0bjDe2XAk9e4ZvmKmc4hw0LYp79CyYOCagkr+T3M0LClAfJDNEsje8+CrLtIy8iJklKhiC+AMG6ji1C4lsBCsEGMy9ochn6YlvYMpLmE57KNfpTEQDRIsQPINJfYTH5KSwmB5FNI1LAJ6NEo6EGbmviEaoNLi3iDb7cIov/BGhPNI6iUiI7CFqkQiQDIkrOITeoFHl+AL/iF0JB9XWwfxGb62P5mTKRxDDU/CgQ/DUrkHUXSIk7cCZXHnNU4BCe/OKeHGhhuCwW9ATK/OM2yoRL+lViGyJFQ3WElNEpoIBoEyiBIW+JUNahJgYGQoimgCBnQA0cKmdjziFtbpYiODWLnUgsXEHpvSfJ6q24+JIiHimnGDCgTiDV9hVUgEoU3QKSTsvkgGxtKUPyDQIk5HZlbiFJ0EBv/3bv6Wr+YM2cPnCC7qCozW5+LnGvMiwAxMkGJAULvvbg3AWDAMLrF2IjBWIcf2HCsGBU6DQ2vHGTFKfDyzRN8KOR9iOQConFABE6DKPR5AgiTgNl6yQWGUIPU2rz8gs/30Nkze1Udbqw9ayHYfAAJV7CBDok8LDwsPVv4RFXV7btIM4AogCgVhMiCcIJEPpjY5YSwTI1qzFSGIRU+UkSzFFzo/9B+QIV3fQVr/0itTRF1phLUOpqBHFgbRpj1AjuNvsV7N4Sti5grdND4Kgzff4gQRWLyYlMaEAjGd4O5+JNedy3jMwv6McUQN5Tb5wh+rkQ8O4g1E9YNYrC3AiJ4c1T4fBgENwzgeNL2ZDk5rpRpWMRMVNlWwxiO7oQHMwIQ3uitmNS54DwbVrygFdKMS8Rn9tEBSECBygrQhGCcIpWaGFzTfA4BuuMJ/pHYF4gnLcVnMwxUd4Fmz9RgqrOP+hQGODIFqhzAlYxUJj3L/4pY1jgCIc+Ab4wYAsgiYtTgz9xbdveIRD3JVjW1y8hRvJej+PkT8MqBA18q446iI03bQj2CBw+82UMpA4uh8coNGmgADxux8W4Z0c0t9fMNTsVNOmZNA5foj4aguBYcQRlo7JWMZSspdPww+j3Mc30NfI0qOU4D325KsoFgmXKmQlpuQCu2QBhVeBYMZHII1BErZJzb87wIl79NR3xTUCZdPYnS9fqrSFkIkSmbq96b1qQwufe4P9beUdsw8JgUDH0z2GCKqlKQg1KoqJEZ3vUWY2oSdaTgxkjIhFPYyAI0omY1twZoj5iKqkOAR2e4T/7EsVxlCjW72mIGZVlYrL28GBM5iZgMyjt0zUsEEhiHaqHlYiuFO6aJqduCSwK7bOKFHixMq5gNW+eVUsJM0KqKEwHTHW6F2MjbBXu9RfRL4TsxiUVroEiD2LoHlF9lxFIgmcarZNUNGZmAgQYdmRJzgCpZiVzYEfk6XbsnAP6JW6JJMsa6RodKXbta4iFmTQnNgKFJiUgFuxQhYRmrVZzwJllgaT35nUScUYDDDOP5hPtT0GIhmqzmqMRAELYEaJS1OIS7iJtNWvXatp+2tCzlqxiPYU7FLrH4YNLBsQoijBlOWUbjMMPZvU8JQImt6OH/urxkAU9KoRo26s7WWQ/4HSFxD4Bu0YqGba1lMANkVGpjEjCLQ4hl7OiUKii9eorEdoV9voi0twyO0lKmdWsoQztoOdXqeI5OJDMChZMO45gluA35luCMeQ4PT5obJzqBqZXXNKlW4ZzzeYvN6+jWO4Ge355M6RaYMD32jrjZB5SLPl7q9wwsK7BQpGIbUB79LeZfCulBuhraIolps6Bpx45Uw+Ic75r8Jhbg0jtB66BDizjiP4hg6Vboyol0d4xa0kztZCLEKmZ4QIKit5xWY2aANxJR+hTDiyB3wSG0lWOFtLcuAc0WCmGIf4glH1jQDroZYpOaHSr3t801PQR4OeT5DCAbu8DPyq3LCtl/8OnU81kgzWYp8nIw0A99fzgcl1TAgRXEVdBjSHGKokqhnecCKMCVGNVvIdmiImHwjgAzQNzxEWXzE8FkB7fB8I2C29E+QhdG4TwoAXdCW7Dk6F2JrgbpVq26cjJGODcKJrNSZHQRCEO7Pp/ujO8A1NfeuH2RFLciDjhKKdCyKlDPQPl14Lt7fbskgF4lpFH+nfBryeGSokVI1EOwmzhYBL0BS8MAeKugx2xYkr+OJ68e1rCL0vcAdTrBe/G/CjYCj1ybC8qtiQCC7SQ2jMUAj/+QEv1hm0sRoYw1/v/vXMKIgJqScorw/3wac7Vm8FFydVfQacO5GQLYhjgSJpJI7/yjLCS2oKxFk/IXYH4NDjXxiYT7AHV/k7zIk/fXkDYgcnF+LbtF5EgoDogwAdetqsf3TGoM53QjfkQDMQlBWRREcAqpugCwUTgqjVW91K96ZbP0W3VhlUT6upHPHUbbmFZMGBJSS/GHX1HNENRbkEmBn3A0Z2yUafnmCLlcPFohDv0CiJCDILUfeqzAOMlwL0QR/QpGVyFBHvlSB59oC0nKgjoIeAoXYS5gqnRH2LHBYLSbngsQIgBY/0Hsmh6sEfTA56HlGOhzz5WMpqFTsNX2QdaCdBhLW0e3KdU7AMCAg1QfnUO+N1VhX0mlcqiVrdU2yR2sRbWgqi363pve6T/4VxjNs3aJ8Aq3GdDQxorRQH4AU18cF7tq93lZzQzfICl31e/AsZph7ZMHnfC46+d6X1dbp/iC9IKp078N8cGfmWmIT5hlNotOUQfKG9voWFO3fQl09wB9I3aKLrY1T/kKAq6DDVWZwCCAQQEBAcWPCgQIIJESpcaLChwocSI1JEONEiw4saM3J0SPDToYEiIUJ8iANHw4sCf1y6du0QSooP7/wCkRKjQAy/zjQ88u1IwVfXbJbEqdKgyo5II97imRTGMRwiQSr8Ye8PQRDHvtxMuNQjzoVgxYo9WrHs2a9m0Y79ChYChoddk9LEMBYBhiuvvv16QzQtQRTPeLZteP/lGAqHlz6BwPDl2xuZRgGzdatWZtOzCQXHhPDqlV0Ij8z9IHimZti3Fdeybc36ddiNk2On9lqZoeArZ1G8Ofbt1BO7lBe+uTNc5KlDFTG8ufTo05ORlC2vrn67bOa7UGMigPHp0Z1Ht74MxHDL+HHrhZWud51+9nXVtMlqTor0zy3hAnE8cvlI6lzySdfaD89wJxYGIMjFnnvXyaZWdiQFZqBDODzxw19HPJMYg+vBRtaHDTo4nXWytQfbRDA8oxsGT3zyzTFvcNhRie/9wNWAC+ZIYoeXzQYBBOfBAAMKQxpJpIbcLVhQcT6+d6J6IUoZJZUeVtnhWYc09cs3r3z/od+PPWomIXXvrfVgjQdB8Is7Ln3zzTVwyvkNae3FJaCZT5Yp4pQNojmfW6k5iQAOl9hjziU/6DcggzoC5uSfZ/IoH6VrPnLEE0dgummmZ1yjZG0j0rhnUnzqeSqgYnoUKKRHXALjMfl1ZSVHe84H4qi5ioqnQONJqBAKUbWWqqnFkopqsfFB2mhRttEHwhe38PUFCDg8A9SurBHL0KpXHpttbNmptF2teRprbp/JfvgnrSTJJRcMd/gG3UOXnGIiumLiC6WfaVoZpFMccVaqpOfq+q26yJa5sLdjQsDSNc/AdBMO12Bbrq6Vciudj98WrDF9eEXILbngwvdxwemq/zzpsvGNiZdefJ0xY1mffGLruhm/G6aqtKLYK2E7chZgvwYXvbLO5oLMrkKNBSbvb1cselaBpaWZ89E8o1wlwgWNTBa5W5/MMo9IJ6wqw/DB8MobP/T3EoCNUrVx0sny6jHZZwPsrFdD99yysmUrPDjahZOFwy//mAPjHTRLigKHCIttMOB437rR3mOGnTfIgTNb99lFL60eAhr+c/olYIboeegmdnxw3lgDPZnfrFfe8Nigm5226xw9cc3p/9hzytSh89v655Z7nnPmbG3+9+W4d747quym3d0tz5xyxxGRV0808obfLrrkq2W2Ue295267v9Tr/rnPTf81q9Huz/+acvTkgz57R8+zf3z5AEi4+m3LRxgYkvfaw7k+QWBICiLT1WAHvaTtDX0UCtmw8ifADYZPf+0a1BXc4Y5LsAsDJqzP+7ilFXe8oiAmxJry1KeuCF3keRAoEgqOciHCwXCA7rMelhDwhdO1UIF/iNUDpZcyDFzDHrcYyA9+cQzd4M+DHDRLBatTOwz84RKHeMUj/mIQwTyhWVYEYgrDh0YZDvEfp/hVRU6huAS6C47cIhOmYvKE00Wmjs2KoRKPQ8OKlAwChziFTX5gjpCk5A6yGt8GA9hBsV2POm18YwNhoKAjvOEMMBDJ2v7hjiP8BQVXeMMXPtm0ITXwDG84gur/fuDKVCLlB09ACQrOcLpD5BCBSAEBK/M3uSllMSN+W9MtCIKBYzxDOiDYSSAp58NpmoxpbWwhCJ7Bwk/Y43Tf4AkMgCe8qwzkC88I3iKFc4k2/eEbp3MHYwJzCneczh7f+MNAQNDEV0CAm/U8Bgxu0abOvMIdG/reBPk0SIRs7g34RAAKvvHEhnzhGESBZAAlaT/1VRInl4SoOcb5Jm9qsj/CO4VujhDSa3ziGKd7xEA+Uc/FdfMfkRGNN69BT3vwRJ//eOIZbnG6Y/wBA4fgI0Fg4M57EVCDKBLXbi4IkTvYQzcKwcArsBLNHqbxh+2DnxBP98aIivIM1RLqP6wq/0dzJMYziisNCIRqDpTI9B+f0OQfuvlGDJzzGZrUkD0+gQCfTvQJ3ezjD+jJz7DagytdjaZrRvaV7QzoCC9Zyg+uAQM15uuxnl0j6SBwTYi6c6Jh/QdhZMpWkLoRSBDQpU0RIFN3oAQCIHAnP5koykc8oVo/+CQGSjuQPcZWIIn7xmZl+g2acfaxzdtZ7QgSxZDYtiCXICEPOzvJ7OaOjWIl7T+KeFryIGCtiTkCPSV6i+y9VLaK2+xgSyuQRwTPHtc4BXkJO1w+GuQNp6PWOS/Bt40qzFdwLJlAvuAlgnzBsSrCFtK4ut0UgrY2l7RtSJl62tS+t3TddMeb3hQn4//MlkO3DW953vCKkNYTpvpFAHHR052QfuII9qiqGQkswSD9AXI+/jEKkmRdeL7hDYd4htX+sFjuZs2zzR0dfE47VtwqpI04Mi8CFGnXBIGgy05TLXxPnEy4wAUGZyjoP77RZeAlE8ZIFQgE5MjSfzzjotSc5JoWF6c9wylOdLIaFz+xGJsdwi5acayOTTbhpnZ0VaMFQYYN0kYOrzab//iFcFz0idKUOCtUfsIvfoFoucIguD/db3EZPM5/PMKpd7ZPry7xhFlfYdZPqPUTPFVbO55mfonG6KtjJz6Kfpes4rXyR4T3B5T84aRf+ENIDwpmT/+UUOl9xScEeukEsXn/uN28RXACI057XOyKwWaKY38VrM7Up9ZOZuC59fZVl0kZvG8kyBWER5g31LTVGPBn8I5hNdWaGHgthMAdWBy8b5RRt21GgTiHopBLDFU4vx4cwMo0sPv96uKufrewl3cWENS6NBCYtdVsW2sOMecUr7BqXi6BbRkpxELhFsgRrmC1LB/yFadYdkEw9QODHOETryi0Qq7QTeWgEOSwQwpUPVJIyfBq0TL0uMizjkH6ZXDAZmz6HYk2RHfsHOsf88pCH5I+UZnd6U9uGdPwtTPwCWo47FnSE9r5U4t/3OopOV91/EestvudwvOOe3dpQx3enYriirNq3+2HludWZO30/wH2Z+MN78RHOVJgJRj8WHOFS/wh5ZrHuNeCRjJhed7chnf75qF8lwj+r+qYDxnhE9Y8tFj+dYWvPeErHEnONxmNTf293K8K+NXvWmuwX+Dph70tosG9s1fXbu5ZZZGFHqT3PEP+818v+0G1/vrf12iOo98vy0RdOv7zPfrFn32uSd/5H69+3eIP/lpJliLet330zV/9MZ7gfFABmp+iCeBdFBPYsF7HOYz66Z+OCV+g0B4C+p7rSWAA3gTlqUl0wRpB3FIEhp+8EV9GmeABQtbtBV9DmAdh3NHzgMAZOMdlkBHHkaACEmC7UF8BpWDk/SAOYoRItF/3SRWQ4MArPP9DaEwVpgWhEzJa/bFdQmFg/Glg+L3L8k2WAyrEHyhhRTyT6u2fGMoO/lHK3WxVD+7YCL5e5ljGByLAkfEdvlnUGo6h0pQh+VkgGhqgGj7h6qDdC9bQFhJEHMrE0QGhHTphoy3JGd5fGp5RHf7M7MwdRBmhQHThEhKEhmyWo/hhJBYgH0oh8KGgBCWi3aQeZQjekX3FYlCdKeZgyM2e/Q1fKMKi0wHJK7yghFgeJjbEg9GNJwajByHeLJ5gLX7iLXrNHYAACjAjMzZjMwpZ35zCN+CAfigZxyDjKzJZHgKgNI2iMEZYShyDObiEOZ6jS9DWQvDGYtyB1RyaNtpiCZr/YfntYaNtYzKKzCVcAT/2oz++wadQ3UNUVCbio0HGXgUWY/49ojxu1NdAxLoxyBdA3kHGI0LRIh76oOtVJAVxn0GoyIFYIUeO5L4o5DdeoEW+GxFuhgN2IkmmZHNRIvzZ4xTC5Mrs3mRJldeFo01uoB464kY2JA9FnVhM3Q2+JE9mng+i5PT0pNtNosBYIlJOpeT9JEY65TZ24ELYEFYKZTBS4UJSZSR+DbxIpVeKpZPx4DGuz1leXBapRUSKZFt2JTA24lUm5UH230EYJVr2ZezZpTHOpSdq5RjppGD65UWKIlPKJV3qzPI1YPMhJl5WpVUGZmPaIU76n1R+HbIc/+VhJlrx1WRQXqaUrGRSRcVSiIRcgMAPhORxoACGIOJndqZa3qPxzSbIaeVmXJBjnMJ3PMIjXMIZxMUbfAPTwQYIPMIoeSZpIiNYfqNkWt1jup+wiNspEAkOfMFl8VWrPSBJqFS5TSZW1qZoMqZ4vk9mFuGuQYDENMQjHAOQHEN3dgc/0owpXQF84cAo2VaRiFFzXuENPqeE4aZ0hiG8VCdeyCecIaFTPEOrQYCRPZvAaeIt/MGZ6QYOmANQnIGDHgGB5h5ghuWHnhvUnYH2DY1IHIN8HkJLxRMEKGhuJKi/3UJ3HhEE6CcpHQJ5nedIKiZN8mjwtaGanCZ3LNMn+PcY4hDPiz6oJuGAZbUaDJiDVcEAhpqDI9GhbP6niPwRKSaglooj/4wFZRVEeyrEIdiDVCgoAlzBJ9zBFVxDq2VoeOrnJ3zBIkWnLQoo9n3pqz1kQ6RPmRLEOqVpq0HcTcHoNfQRXtzockJbGWUpkNKmSZIhnyZjkLyBCZlQY2gqBlhLZyjVL+AACmTnN9wMxBFPlA7n77yCghzCL3xSvLSIPbyBbT2DxZgnnoadHe0qr/aqr/4qsAarsJaEUISasR6rFAUkXrzBKZwCcB6CjsbFF9jMFSDcLRzCGVzBL/CSUSXHsoHAH3zHb9nLI8DXsJ4ruqYrrwYEADs=
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
R0lGODlhOAHIAPcAMf///+/v7+/v7+/v7+/v7+/v7+/v7+/v7+/v7+/v7+/v7+/v7+/v7+/v7+fn5+fn5+fn5+fn5+fn5+fn5+fn5+fn5+fn5+fn5+fn5+fn597e3t7e3t7e3t7e3t7e3t7e3t7e3t7e3t7e3t7e3t7e3t7e3tbW1tbW1tbW1tbW1tbW1tbW1tbW1tbW1tbW1tbW1tbW1tbW1s7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7OzsbGxsbGxsbGxsbGxsbGxsbGxsbGxsbGxsbGxsbGxsbGxsbGxr29vb29vb29vb29vb29vb29vb29vb29vb29vb29vb29vb29vbW1tbW1tbW1tbW1tbW1tbW1tbW1tbW1tbW1tbW1tbW1tbW1ta2tra2tra2tra2tra2tra2tra2tra2tra2tra2tra2tra2traWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpZycnJycnJycnJycnJycnJycnJycnJycnJycnJycnJycnJycnJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhHt7e3t7e3t7e3t7e3t7e3t7e3t7e3t7e3t7e3t7e3t7e3t7e3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc2tra2tra2tra2tra2tra2tra2tra2tra2tra2tra2tra2tra2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY1paWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSgAAACwAAAAAOAHIAAAI/wAzlMhAsKDBgwgTKlzIsKHDhxAjSpxI8WGMZv4yatzIsaPHjyBDihxJsqTJjQMJDlwpsCXLly5jwpwpsybNmzZz4typsyfPnz6DDqxS7qTRo0iTKiVZsanTp1CjSp16MEYtjfH8Zd2qtSvXr17Dgh0rtizZs2bTol2bNqNKqnDjyp1L92CbrFiX6t3Ld2/Wgylbvh0suHDgwwURE1ZsOLHjxY8bQ54suTLjy5ExU9Z8MW9GtqDVig5NerTp0F0zpgxct7Xr17AJFvJMu6/t27hTJ9RsObPvzb97Ax8uvDjv48GRE06SbSPXz6ejl54uvTr1z4Vja9/OneLATmGd5/8eT34pXoOslRtPzp64+vft17uPz/hgkqJ58VrfT70///2puVVZdwQWqN1qqdQWYHkMNviRfn/tZuCEFLZWxXOp4eXfhv9x6CF0tGWHEHzzlSjfiSSiSN+KxFnlEYQOxtggjLoRJqGJKebIooo47qijjRnclSFtHxbZ4ZFoBUijViJGVuGTUFLU2YJLymglXzTSCFiUXHYZ0UB56KdkfkiWaeSHY4KYF2tO/sjjm27G6eOcQLY0ZZoLXqmnUUvCqF+dgHopKIFsZjCbmlmaqeiZ1eFZ5XmFNkknnJPK2eOlbz7WQ3PiIbrnpyT1WdufTm456KkTDhQJkawy6uqiZVH/yaqn/hQaKaq4wrZaQZsOOSuowHbqq6MBMsSmpZRiiuyyk46YwaodifrqtLCmKaqaurHUJnqVdqust8mGK2mvZIIoZrDAPvqrmKbm6i53u0KLoZgawkottbTS6metEN367r9SkQtSleiCmmi+Cy7kL7PfNhwuw8JFemi94e17r71l4pnvvG7tKmJ9AIfc1EB3yipswXtKi7CaDS0MLsQwvwyuQXkgzPHFOAN47awUn/exwiIHPdFqwXBUL70oG8zzrwk/5K/QUAN9IbadHo1xzhxurCDH/AoGMrcOxxy2zGNnlyCxGidt5c77RuuPQy6X/TDZc8t9kMDmGk0m1lc3/8r2qOF1/GXUhDvUht6eEaz2jOsy7RnYX0tauMi7lnCVxhT3zfd1f+sbeIS2tmss3WLXbTpvdxd1reKLl9d52iwP/djTk3tZqJDYIg3d5ppHp7XWXGcXt0SlF096s9yCV7Xjrbve+MrYluq1s5PRXruBhU75Ou/cx7p94r7iFan110edUg+qb81881g+jzaest9oqsenHy83sgeF8eD73fPu/s7EGoxi6Ac26snPePezX3EScqjwIQ527EvK96h2LckBrYDkK1+B0qM8wP2tf72b4JB0V6yR9StQGnzNAC93rhauL4IS/N/Sojc7AaLQggZEYP0SeEPAlAAjHmwcCP8vxj/m6Q5STwldkzKYwiQGKgacspqwWAdDPskwd++TnkKYqEUdepFuossA3o64tCFWi4SdwxDaJOUxJU6vgE3sTqTQN8P3VdEkByviA6sURgO2jHpcjKNUAkPHF8nQjGjK4/c+2DWnHMtpCvwiDwlon/QNC4B5uuP+qKZHaynIRm3s4+i2GMlS8pCUlVQf8PYWwmqNiWudzCMc5Te/PgZSkBW5VSHL9TpOahJ6v+skdHDox8Hhci7DE2MU9yhEViLSNJ5SYyzBJ6ZHvhGV7RqeJHdoulk6Bop5cmEwfQlD1j1HhOI84SwpCcpjDhKbibnTzQ7pzFZe55VYDObqNEL/TG9e0Jjc3GaKaAkYjKCRmSs7F/sIhs46Rkgyt0qPOv3pTrh1ETCXY+Yi6/nMzKlrmsGUKEABJdJbVpSLgTnb7ijoPnImjZFTvCINR5nBQArUlCfCIEkzoDxxenSGVuuoPsXTUCyCrphaxCbtbnpK9cSvIA0c1lBfGCwRTpVY7BJpoELZT3ZW9J+3PFxML0lPM5oMbT+9KglVmNSvmvCagQkDWPI2VjtWtVx2LWoAUcjVf1q0qTh1Uz8VItaxphWt9vSeKj15ULVGz5o17eE13TpKUYLybIcFaSavpFfHTvWvSK2eUnMYWJyGdrJvASf4PItPvp31sG3T7N9QZ1mq/5hUaONrq0H0B7h8CnNtq/2tXnc2UdFKj5K5pSzxDiKv503QtcMNbnRpWJ/bUpSggM3uAn9Ww4IyDbYtZdB0ycpaURGzuqe1JkCZ2k2t/jUJjW1sEfEFQKuW131+Be11bRgc5a7zIDW77zjHo0jZktfAIILcAeGJXf/qdLkCySjmZGqxjH30tS0db59wuFRaqjebDw6oaSvLzl2CV8B9+emFNUzhx0Eyl3+sbPk0w0TcyTe6WZPvhH/HYq31NbnCEyV6a8tewRbXhj1dHooVepTYxle4vh3vWylTW8ta13beSUjJbtzi/6RtxXWVIoL1uEQF1+XK71KvVxUyNaJ22f+ueKQna6O85I14s8OAXPCN1FxahzF4QKyB1pgxWRoMQ3mVvh10ggeb1IhSGc/ahdhp91uCokmVxUwemHS/y0vHOfnNS8rzceWCZlRZL5kDuY+S68zRA1tVnFAeL4jWLOTu3pZ+pYaSe2NMkMLuU8CZNmyLP81jlt6XVLp1IkSzHOmZgbidu1Gpoos9V0KHN5x1NJmskbjnWib7r27M9Qa/7WjV9hjOQz2xA10dUy5PFdn6pWmdyAfpIn+b2bul67SxetV+g3ml2O5xVgZI7mS7kdL/wjVp2yrofVv7ihvt96odLiDQihvhk07zsyejPU4r+twM3fRKM8fqPM2b19z/VTgb/7twEZso4w+BL7b1TXFhgtyQAJd1VwZEZdu+s9nEQa1kbdRAWJ675p5Md0JBDfC3KVvopXI0f3l+PXZaDudIR/DN3abvHv9G6jGmdwqVWNKH0FHdOH5zySu8dgXt/NQ73a9kn6ZVe4dW7ILBXdL3zXS0y7SufH/OgaAddyBziYkfHlEH6QxsFLe9Ykz3nEKDjFoamxnfDQY61ZeN1Owtc+uG1iPofz3mvN379CTGOMw1bsA241XnRo+8ZsM7XRohfqTXpTvrd21w5tKc4u5GusrqK/tQU57WkSOgNovJZ82Dm+UjsjRd/T7g0f89zDWHUZWjnnmYG77upg13/1RUbWxWW9+z5yy+p/lpUsOjfPu4imx3IxPgg51f+Op/fDW7DfWw81Xe/WVqxVUC0iZVgZd/fPd4RTQVvOdH4AdjQKdyyndvAmN/CHh/aRR6R4dsa/aA5zVlIXZx2BMZcmUz+YeB15d+Cqgl7heAPbd68BeCYBSDlOcsi4d/K3iC2Gd+WHFwjCZjZLctuiWC6iR1tNYmQISDwYeCJpiDnQJhLwaCqadrQ5hsRLGDs8d4OGhzWFhUHANovVdmxiU5kCaDDXOEIJgSE8Nu6NdpTmhg1Dd77MJsROh/DCZp3gYkyAU3EqZ/vbWFz9WFCDiBhLdwtJVTqEchLdguuwSIF//4iJwEejsnhZgHFXV4QWAXhSAjVpLIhMAHib5Sg4doU7yWeATHTaL2fp13g3H4cI6ogK/odEM3hZHTf4U4eKV4chEBTtKUdqDoiZ3odHgXH40WhRAoLomoixbkem6YhbH3hrUHiRSjZzTYfacngbqih1DIX801c6UHjb8IigmziD4od/MHbZdoh39WjsclfSIHh7EIjLI3iRY0jB4WFYnHXwNVjVOHZ+THNToHjgI5bRSTj6O1cT6ocj+4fC8oY7YodwG2dI0njwNpX/DmgMb4Z47UkBs5deY4hSpRgHvXWeFYkZGnRn+hkOJniTfUgJhIiUOnkN4UA/gBkOqngvH/WJJyuGj42HJthYYGeZCbB1Zzd0G81YTfaJJKWXoGaXXzF5RF+Xz8yHw9qRBJJo6fo5MUuZPKaI0Wl4swCGSHGHdmVobyNH19t1hbuZar9YNPZ4wH55Q/l5EEpRgy92/O+HpauZcoloc/lopEOYsOeY7xVotbpVtRdXNsuZRe2EgsCU+ZSJa6F5hDiUrJBDeWJok7lpOMGV5k6ZNhZJgamXuUOWSMBncIYWLS6HGc2Zqvw12XN5iD6ZI/CYOTtoiblxJ654eI5pp8KXqyeJqd95FSeZuuIZNCSYBdN4+Y5Jud+TtG6JAo9ZRhaI5ORZ1fyRCqpZRitpjOWUJ0mZHW/2WK2DWdb8lgbbaBrPmc32le2sKOXxOXLTeehLlxd2afo9lwAgdxv+mdFZR5cSOagumRxNlDuHmPwFFpCJV1Icee3umYlbiN8VafqlhrQumC9rF1pEds7dmfeeGRpqmJlnlRIEmgucl/VFF/Jad2Heqg7FeifglHk5mMYUlqRZgBfdh4kKeF/umhtGKNAjqhFrqH4YmIQoecBkEuzwhnsLahPtqiYxKkEZpf3veSbimbg6UYJbic78alB8aGUHp/NaqPI1qPVIqfF3qgo7kQN1h6roiXPTqQwlimt2egJOqVU7qSDaiQHeeL/CZ5Txqn9DiVyJRfzddXsDmXDeF6JP9Je27nopD6NoZpeWRIpkRWoVj6df4kfy2xhmmZgdEEpoK6dRhqnAuJn8knR4XYge64hH/4plwXpoEaoLhlqbaqjOKmml7qpL3JoaPKlxJqopaKnCAjpRFap5VqEJz4jqCaV8EVqWzZkFCJhjBZqgV6ZIDZEioFp+tXbCz1q0sphtR4pnp2mclKpOhKocaaAdv5ZfxZfU0Hrq0ZnGtKnIhKrmZ6npmqjYKxpSrTpUrnjbLambFZcImKp1naGmUoEfrJnI66q4EasYKTqTP6VEFop2/EVUGZqiaqoHakoQglr0x4poR4kCU7ZdSKcqI5jDLnrSDboAObk/c6pceYrDb/iq2hCWASp5ltI7I6eYfWeamj1rF2OLOYR29X964JSHKuCq0IKKkw+oIXe7Mpu6nYOaFKGrFkJLGyeq20CZYPeaXxE6SQVUBHyYUrapNc653oiKdl+5hlZ6V/WZUN0UGtqIMnA7FO+3hFiqmwqaYoGhdIqlQ/tKAFxoOsJIh7q2j5WqZuiZq4J5jNZ4iWNTVLen9N52YxK6bCWpma2mAXW7UZ25Ve601RhbbZ14yLi7mnOq4AOqBAeLMw5rF664Qwe7lr+4jPRp/1WmXr6rhRGbZiVJOG+4YjWbyrK3u3xpE2W64tyXLIF5vyFxgRKaol2bSbC4m36LmHyX+kiKBn/wagBahuW4iWteuz99W4OGubQgq7iLqSGbedd8ubGpi7A0lRQ5Zc0RmYk5uzV8qQl+eviquEA4y+0xaZdKuOcLG87IsQ3Qil5pu9csqRHKu+qse/xmS0lzk+hcuse3m79puTKYmlR7i/69i50gu7Jzx1/xipRpW8ckqvHdm7v0ujEHZxiWm/IAzDOHiKY1mwYju0eUiVo+u41Jq0Boy7PCxluNd+/AqGN6zCTlwZFRjC7rrEqzmnIWa1VYqwNfy/1qoQZ4vF1kvGs5fA/ei3XSydKEzCjmG3IQyrZpx2RpuwAFiX3Xt8KrzFbYsQ5ubB7LmjEpx1MnynpXZLaHaK2f96b2zCqAX8pHOMt1ALfUHHvUJosxcHuRThqVmZvEn8tIPqxS82uBR7q3hsoTxHNG5nwJE8kXb2kJw6xTVYlUT4NKpmgTA8v4P8cL3byw1MeLUIdnG7XXVSWJspr60Mj8O0p7Y2ynnMewKajkW4rXGcYWW8y90qi+xostmJsKc8WSH6vFrGKQ5VzfWbzLisGk3ctzXryzBZrPmGzq9qzt+ofRjpvwrMeSbcv/KZxwjXsMl8ztgMqCECVxDIzMHawOYJf6sBRJ+MaA99aNlCmdfqzQUazHd6owbRsgPtrPLsslhBh+IptxS8fZqcwg2hoh99zRFNcjWyx2P4y4FbjeH/7LqJkbQd3Uu6jMxZickUbar7ysWzXJhWSpPIO9AundPNNFOmKbp/623brMnRHBU2Rs+95Dkr3aQTS7NBzNVOjcIbnAGY9dHdmdWtUtA2LMz4nIoeKJuZ+LYKUTIBXX47Tc+eMqMnK87Qu8AJ/VSOXNfc+Y5mzaXbO9JorNbiKrzDnMana9XlLGyDXRsymtHvR6R9XbqX7LuZ2clKHa+R/WnCOcvmyn2Xh8hhLBXk59jQs8Mtnc1Q6cYzDJZfe8mLjVrV29qxpzit/TtR+9QPltcHy8jt+7oCQc1mjHU+tW6dTVbi+trwMtykHMR/HMnVtlqwttzENaBh/X+UvNY0qjq1BDrGEX3ULK3aaZLIpAvEtBq52wzdggbYnDlXiPXZks15wlutFevcpGvaApGE2B2rO/zfoRrbhJmy+l2FGNvMBNqyu63chyvgaZPKlH13hU3EaLrIG8nJK+2tEL5P/O3dKHufP22l3YfTnM3KOKlQDU56n4uvxA3TXvm9U3t25n3VibLiRiQg8vmeNaQtMWFD4Gd5PO7j+vwWMHGkgLKbvxRnS04e5xIQADs=
R0lGODlhkAGVAfcAMf/////////////3///3///39//39//v///v///v7//v7//n///n///n5//n5//e3v/e3v/W///W///W1v/W1v/W1v/Ozv/Ozv/G///G///Gxv/Gxv+9vf+9vf+1tf+1tf+trf+trf+l//+l//+lpf+lpf+c//+c//+cnP+cnP+U//+U//+UlP+UlP+M//+M//+MjP+MjP+E//+E//+EhP+EhP97//97//97e/97e/9z//9z//9zc/9zc/9ra/9ra/9ra/9jY/9jY/9a//9a//9aWv9aWv9S//9S//9SUv9SUv9K//9K//9KSv9KSv9C//9C//9CQv9CQv85//85//85Of85Of8x//8x//8x//8xMf8xMf8pKf8pKf8pKff///f///f/9/f/9/f3//f3/+///+///+//7+//7+/v/+/v/+/v7+/v7+f//+f//+f/5+f/5+fn/+fn/+fn5+fn5+fn597//97//97/3t7/3t7e/97e/97e3t7e3tb//9b//9b/1tb/1tbW/9bW/9bW1tbW1tbW1s7//87//87/zs7/zs7O/87O/87Ozs7Ozs7Ozsb//8b//8b/xsb/xsbGxsbGxsbGxr3//73//73/vb3/vb29/729/7X//7X//7X/tbX/tbW1/7W1/63//63//63/ra3/raX//6X//6X/paX/pZz//5z//5z/nJz/nJyc/5yc/5T//5T//5T/lJT/lJSU/5SU/4z/jIz/jIyM/4yM/4T//4T//4T/hIT/hISE/4SE/3v//3v//3v/e3v/e3t7/3t7/3P//3P//3P/c3P/c3P/c3Nz/3Nz/2v//2v//2v/a2v/a2tr/2tr/2P//2P//2P/Y2P/Y2Nj/2Nj/1r/Wlr/Wlpa/1pa/1L//1L//1L/UlL/UlJS/1JS/0r/Skr/SkpK/0pK/0L//0L//0L/QkL/QkJC/0JC/zn//zn//zn/OTn/OTk5/zk5/zH//zH//zH//zH/MTH/MTEx/zEx/zEx/yn/KSn/KSn/KQAAACwAAAAAkAGVAQAI/wAbCRxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkxf5qFzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh2akyAfAEiTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDWuVjVKzZs2jTql3Ltq3bt2jXlIVLt67du3jz6t3LlOzAo3wDCx5MuLDhtnL/Hl5cdY1dx3Uh05XMuLJWvwIBJ5VMmfNmpZ6Rhhb9mXRpAKNRn049uvNq0K+btoZtWnVs20xn33ZdmzJt3LyB/049/LTw2sdxJ2d9e3nx3s+V64YOeq5vtdcRP5aanWv332C/G///Kh752/Jx32JupNmy+/fw48v3Pne+/fv48zNe3566/+nKRRfcdMEtBSCBxmVHnIDNKTgeg/4FGKGBuyUo24MVZpichP9BuGF3BzaYYH3nbRcZd2ahh95VKqaI4okwtsWffjTWaOONayWWmXk49ujjj0ACMGN0zj3HXIQAHnfkh80pOV5oAz5ZGnFlIJVAldI1CaWUpkVp3pZfTulhkbEtaSaXtp2JXIhfkhjkm00lAICccNZZ2JBPleegU3qCh+F3fWIoIYiCFvinU1VygIMPOHCQm588crgheHtSeGGkWT56qKaX5gkph4BGZWihSeGJ6afemegjCE1wwQUIAGD/aedhK7p4lo7siVWrroK1qFV5coLARRNVwNrVrpZmhSyq4anqrJDWccrjiku+WGu11iZr666dcWABB3LSOSefpxLJYrlNYiUeZNdaSBW777obb4Agujmvn8jCS2qnU+mLrrbyeintp7LKGitSVcqZML+oLrjgvpxeV+3Dkua7JrkMi3qxsqi5ueysIIcs8lemuvWxxiizdXJjIxPma1gv31qdYp4KmrJvK79IL8tEVprxr0qJa7CVQyMMVagYg3p0zUkzeyyatu5874Sl2htoppI2jaDNN3+as6H+PuyzuL7RWYa4ZpOtFJZXMtV2ypSai2TSAuccsIgcbwxwnva2/+y3VeL+LThSJQ9emd2Ge4U4jbgC5vPikz6tt8V0y6vW20sVnZTmmk+FOZ04/8xzv1ELTN7do0esVMkvq1kx6lhbVaDE52rYIbqUpZ1U4JKpvfnmvmc+8OOwS0375OmOXrfTTMf+72Z9J87Ysp1Lb71UhfcI+d+BXy86dpNF733ze3XfVPVZLez39rQuxbqW/FY66rTJim35mGF2Oj9UCRcMvNvJklXgNDdAK1mOYsfTX/yaVrwFZix0VGOSAiPlmMY9L4HkW9qgtrKskxFKecYx3+4ACCmzGY13vztf3jDIvKxBjHTl8hfX4AZDrGRvfPpBHw53aMEd5sgsOkyLCP8H5kOXuc9qL6QN8YB2uybOroGvkxuiloI2/2WugFgRWtB2p7mvIS9/UdybC59Xubk1EWv762HMxHi/SVGsV/WrigD9p7uDxWmEdzRgrFBYG4NhEWIQHCMH6fezURHnjYO5YRHnE8QgSsWRizyc+CKJliGGBZLTqyElp/K+TWVtjZokUyC35jzZnWaIaMujcgi4tq2YEI96JGMGSylLNm6whcOznSjxRq9J2vJBgYxbl375PcnFrjyykgzntHhKPA4tlXo7m9Ew1DnXgfKDUgsj1FAXzFDaSpGbhAsmw0nOHpIzP5ZMC/tqec6oDAlME9xbN2eoOjNKkExak+IW90n/xSnaMYVvC2LgoLnHWHqzmF+sHRFTV0M23TNJM9sRQ4k4T6UlDy+I7No0/zkujuKGoE8RWvCsuNEU6vKiGcUXSh0YOTQOhjLgbOdbxslPmQ7OnDZlIAnpQlP8rNN6MXXPEtn40+yMM50lvdzakAqyn1qUgjptTFmeeMYXshCYCMVmz+jZyp3mzqTJGukIsSTNf+ZOgEnlIixvGcH5adVrwsRlEp8a1acmSZGUWyhREbpXXt1GpGBNK8KYWtOOFlaFQaseSQVJT6T1dWpgfGstJZuqjtEsp28hLGYjGVR1ykxx9+lpVNCqFc0uEnJfQ2I8Tcc8n4nRtZ7Ep81YiUfM/3WVaM5k5j8xl8zDDrCOhnVK8Oq5S7iWka24+x5sLerYSb2TrzprLlajStmVJRCayrztFfXoR+Gu9btPsaII/Wiw7CrxdK9VKNMkK11MgZI7vtysR+Mj2vs41Ued9ax8A8uU+v4tr0DCaXL1xli9aouFDlvv/wo6zSEabI6x7J1347TY26aGoLot6yqhMsTlQYqydCUmVw0ZRxomFFqXlZZ126hSnblYrjvtbiwd3F//sE2V41LfI0t645RhzryVne5E/5VgXHJrrksT8H7v4t/93pcw+VWZj3RLyfcG2YdqbCwU2YlBbCKwv8B9W0CFV+PSaBi4Id1nwYBb1jYrTP+PID2Ohg8LXn3eq4O5zGACvTzi1R4xxQdm4kLbK2JU2bYqIJ2zYKvHW8QGlysk7bEGf/fmjUJ40thS8YtZGlfoXrTAEc0VaJGszbpe9ND866elJ/xof6rajpZ8sCUHOlqqoJpO3UMqtdC76RJhWr1RFpxpS7vT9A05zaxuMo4HGZ8nK8tjDcuLs22tFWWnetm1xnaZ34Nn7ZiYy9977qSZ5To0rUvItuniaYZGVljS+nyvDKOkm/lqRTu6c7dO2mJ/zF9ati62o7TnA/UK4KOpNm/qEnSh0SwVgpYXoAyuM4d062Aqz1fM/LQ3lVH9ashmldkwM6XH22WbYLOzRsP/tk/KvzLslS8ZeoCGscfpi3KxWFuwIZeyXgrOyfjKEN3E3SpUNW1SwEZcu6R95rbNiihmajHe2rW4SWXcUfKessKD7SNYM/1JXpr7pAEfuIH3Z9kdodbOMjdupP7oOTVnfOvgVZj5qExajjo96s7U7q7mjmyJJ1y9vI6hyD++uvh6GkfTXkvLX6498SX+TfgW4lRuDrgdMz4tnTw8A7vMYkGad6Bs6xyWsvPujq+Zx2ClcVSgjvQZ6zvHqhz91Od0egZLM/T2TKk1RfxBiA4dqkompkMJifBtxlKHZQPzbRdb975DXcJglHSlDUvljIq5+e7uOKub5V5Bg/igMTP5/+XHT37RGL7QOzSty+3EufJXjWYpBbmCI4hc3Mh4zn/E/kcZGGmwznu+zMJ8sXdcrvZPDwZLZ1ZSvYN7VVVXpERdcXVI8ZQbk1RurEV/3lRRVUdmu+V2mNJmvwFSGKZ8pzZvDkdxCzZ/rreCxyZ/y+ViQwVqBhYg4ndQGWhqqYZU5qN/bkNb4XVt/cZh7aZXUnd8Qbh02kV7CAhevqFj4+Z53DdzXHUpFvR4Muh+cpRtHDYfT2aFalE4XqhwNkhnPOVofQdr8rF+HUhtSfh3g/dDhcQ3Mfd1bVVidHU1khJvVlcbGVZHsrZqGMeCBuSE4AWC7uaDdpd3daZMUPc2hv+CPovVHSJkZS2GdtmEfv+CJ2E4S08oLTz4g35nUGTIgYIigMUGgJQhfbdVfav3hlW0T+O1ivk0gcWHYIBkYsGHhbrYFZT3IzXYa+9BeTqkhiJUeqRYbTVXThU4JvLzab6XbqhkUl8VcX2YdQeDa60He8N1gKHIiIfYam0YXOK1VOs2dQzHekpoacWIg49VXEQGjEJHONFyclEohf9TNKZFdVShitmofas2hUsXiNyVfZTWiqK4XUnnj4F1aXaogaOmTc3IMrkIJL1IIxXJGGroPb8IjJtobF3BVP61jg3nFRe5i+TheBDyRlr1gEkSZwWlY8OVHBqGj2tIfRkXb2z/B1BU12OxWG8pyJCQwW64lY7i6IEGOFyTyFAOxXW/tEY/l3n1mHZiyICgyIYcBWRIaG/b9lsSJ2l0xIL6GIqimE5U9x1I1Vs92HmlQ4DDxGXnZ5Ivl5E7tJGLBJLEhoQFaBUluRZ7WRhhmGXEJYGxJSYeomGpwYN8ZFjT8YlVh2HcmG5qFYoJuFHd037lCHtEGZQZJo1qNX1JiJbKkZRi6Y7lJpUahRxQ6YKa50oWFo5H5X9nqW3gSEWy508oyE8iCYDON4pbpHQHSYpGZYlReVwOmWRviYerKR4bJ4sGqZCWR4oiqViaIlqMBoCGmHfTJ3Wkh3ypw3HHaIctdG6r/8k110GXVwiMfZlyM7l9eWkyo/CeduBTz8ma4HNliIGS4/ltJNRIW2GZMQaHXjEK7uAN7rALWshkd3mEQPibnzUZPQd/UYOJ24eU6+aH/QSTzbldenRWRTdh+Ncco0Cg3rAK2Lh2VGmTuslvmIKTromiwKKbnSdDPAeRnwZGZSdqavdhBOeJQ4l6eMmLzLlb/tl3vil6/FMGa4AOzuAOowCPmImGMEZ6QdptRFmiOIeJZAeQ9ugU5gmXMGoVdlAGdrAGfemlf4mfM9iJbcFUOal4YSGXdWkyz9Id5hl/zSGCBJmOT3eN/xhc02hY99dRAvlwDbaFBtiYeVp7Wnmduv+paIY5Wo34pcHBn4J1ffFIckRXVUcWakfxZTMkmFV5qD4ajpTJnqN6d7Z5cct3m6FKU1IKS0alaylolAIHq5GZa/22fp5KS8b0FF3qHmWKTl5qGB1EEIT2I22KjGVoJ3AaMjMqj3P4hoMnkCj6aC5ZeljHp+KIqiToVcXmcGsFfU+KMHhQrnhwAMJlRds5VmZ2lugoR0XYmra6UReopr/WfUo5VRGodvXaj6bIdNZ4hpuZR+OooaiYVCRljH2KrmeAGuSgDfAwDA0LazSZlgMJg8XmZgErIa9Ibz+amLN4h1pqanT6llOmVHUhWngADfBADsMwrC/VLyZrkeODB/D/oA3kAA0Tm4UjOX6UaEMzixZaCY4Ky7MfC0TNWnlMkQmlUAqJgK5XsXhrSqrzGa97MW0TuZIsRXaeOa61BzA7uFasB2T5N5SVaYTBE2+BxKpIAbVKsbOWWpT+p5Oe9LVoVbBHWXR1F6gJpbVa1o67Bq0SZT/22naRUp0LlZ1mKHFs25NGOJs1ySPNJytuqxSVW5UjeGxnm5unWGeT+12O9DF2+qnmMpEwe7rn9KvSeqUMiqAHCpdDOp/eY7pNhxyXBhm21bX7CR4nekJCubFi9bhEuYHAe6UMmKyTWagPBAPMCwIaO3vWmCSHGVxv1j3iyru1Zap5qiZZelJtORbQ/4aBvGmoWpehgkKtV8q5Z5h6HsuBMWlSZ+C2vVsaD9AExOIDZ1ut9Ti0+ql6G5aOjxl4z9ppnRG0qKsXD1AE9usDB8wXqmu0UZuglySEPbugefEAPpDBMOCRbBG7sotoz5Ij88g0vKWHFrqNA0iUXwuoPlabduSEC7h066mg+1eqPaqDSXEAO2sg4eKbKdRjj1qrZpi2/GKCQfpHwbOU+kS4Wpp5Lzq+HRaZyquQisVw65uXLmmw19uhOAea9gdA6GNbk9msccvC/BONPlq2iyttDIMgtIsf/ycYSdvAnettbvHA3gOJmQUyVptTb9xHrCdeJIUejpsclWlJqfikpv8DOmR2aGQZQkmlmVElLnB7mQ/yuyoamvMbxN5Kr12Fp4JYd6AqoyuFr5cxwnuHm9qWyXnbujJsxbiaoP4rd4e1k2tsyZXrg3u4p5OXrq+7yssXzFP8pTlXuKWZtckoODvMrMHqN3jcy23RzD9KvmAxRJcrFnNMxzIbrftItWohzWeslx/snFKhw1GxzKN5Fdj3rpVml7fcn7KqpT9LMud3Yd3qjWYbgr9xf6A8XzPcyhNnHHsbjqlowp/ccPNWuUCWyGhrw/FatGgoY0YHqESczz16q9zJYrtKVbZUhQIdm0sIweEI0lych+mMsHVWemzarX5izseIzo82Z/8HdUX/um2EeKE0/MtGaq/zfJ6mjGISpc2nC86IZ6xwkc2BMWwBnNPkp2wQTSOKxJWmwXYWipkdG2HyWsMy3SmPWdA2HNOFqEIDO7xmU7k7W8ncVci5mbA+mdagO5Re7dYsSBxZvIrqRovJ84AEp69STFPvCqUl9dAWLMpJs9Kc+bhWCq76y67Ihq7ZyodwV6n7HNIceNOhytSVLS/q+7eFu2n68sxCndShPYYGYsCYrRdIDRYerBUwPSvq6RYXSaVZUTLN54i9Sb0Qd9Dsa3uJucWVutPTu7ElbbCu5sWUa8nV2h17i61BGKmQPYi3UXfoW0fXG7Zk5qitpmi2GHQje6OO/0PZ3fzVkYtWuotwV52Cs1zYu/1qf4rG5PvY4iqdMebc/ozZbbrUl7LC6GtQZNWmmMqOxAHaXYECjOIDD0CSjEHUsD2+oy07pq0WOEAsTWAB7ek9rW0Xe5nanGUvksahZH2xPerFEW6/FB6wSTyrwmzdkEy3R5d0iemfiho4DAsAUBu/qhwrbruzx/3cqcovYfbJVAmamVu+2NaEivibdQ2qt6gxSsaKQLiHix0rIIADMIADD3BzQ16WrkZY5d1xn8PgSbHDOh6EbkvJbZi7kf2dgG2+oircBrXQyBaWRA6wYodwMDXChgu5EWy8wz19j0282KaPcZzbbY7TlsuQOf88ihee6HJNZ94J0ohcx9BMhm+UrU9dfJMVtJE3znmu5hiutKKdFk3mrjan4TUCTsTI6RUsTrKp5xzspkyx6N8szmts6mzu6mkqoQYHaAvjSP8qrqkE460olNi14npKjiHFjSXc54VIJ4te49DLUS4NtTNO47JO3ALNKbP2KRRXNMk7yFPUtYGst342bnflJmHbsbFcgARU24FN7oB+2aSK6MpqxpFS7dRauXUtRzVe5nf9n1nZnP4l3Xvjvw/yrjHjQebHzV5q6wpuFoZdzOMj4NT8FQ8v6WD+zpDG2trruvlLzpZh67u+I9epPkOI0np6ohM92QzqzmVs23AmlkD/xpCDTrRhTuP2enoMKL9SN+bvK8ZcTd9ppVuSmJB9SuTtbehHDp7EOR6Fk5v9XLUoLrwcNxpq+JgrLLZJZdAFaUUKjWw27sqvJuZum8tExOWq9ofCWzOPOeRUnNUgjuzmzkEP7kMXjxfX7FejTfGekwAPkAAifxaBj839SU53Dxc9RPRzC73Pa/IW0ARFUAUoUMRjWYoaEsOQu9aBxbbmC9P47cXBW2c7zMj3Zj5GPsUfH2ZG7LlqxvXH3uP7B5qb2hxDUvME9adAyCpVUAUwcPJrhd81DKRzztAoOoTdHt161O/S4p00vIduG6t+h0GbCU2UiliD2vFwH+8g36/k//LHafH4Cjz5DZ44h78fdZ9FS/EAa3DgJ1vxCC7Bt466Dz+RW826KlzIv3/D32ix0mvi8A4QAAQCSDBQYJmBawwaREhw4cOFBSEylDiwIkSFFjUeTMhxYkOBFUGCLAhyY0iPEUeeBJARAMmNFS+mdFjTY4KRMk+aNOjSIM6OEzEGbbmQTyOkjfigRDgT5VOCIH1CfSmUp82FKx8CpSnUa9WfW7WypCkypEmuRW/2HDrwzAGBZ6wOvBo2LtyNaHdq1Kr3pdOHdS+aHFtGp9q1XwnbNQyxpFefLqd+FbgmqdLADLNS/prxotnNWDVHtAt24mS6ob3WZfsVsFDUqgfiNf8ol6zov7U/cvb62nTFqU5hbuUsODFT3qPFJu9s8GjSpUJ9J2fN3DVzwLGn97benblt3rR5b6dc/bZ39OnRk1dPOXbLy9Gts25I3jzV9g/fO6bse7hs5dQTL78AF6LtP+mKU2zB8xTcjcDU8LsOMt6eQyq6+iY6DDGb/gPML9NuqsulsZIjkb/KIkwJNNEkauyht1KUEQDwoiLOIpBsAzFGGsUzD7C0BiOKJxc31PA+qUYLsjQWH1sxpabywpEoFZuq7z794pMwrRD7gwhEFm0C0rizJOSQu65Omo4nMk10DyK8ZrrvtRqb1JDCB2dEzScEWWKxzRv77PLG1tjDaqr/jCzEDMK5GHX0UUix5KxGSB1sFM1KM9V0U8i0LHA+76qTNFTmRp2wQUcH1BQ8VTl1FVQVX9VUUfmkzAu40jz8FLeUtCvRRZaSnHGhyCJ80TQ2oULtgBzx4lE8HlXjkVKiXAIPpFZDDFNIG78sU8yPgByNT+Ukmkk4cRMr8iBgW6OIyhOzmsky6IZlbNdciT0pXqxe4xLc/0A8zUsVNwyTrs8oo5ZSp3zcjraLwPPJTm35EzREYeVV8s6n2KRY3+PSXA5ATHODiFZZU1Z55fayZfllmGOGlN4LGTWVt5tl1nm2nXv2OWZDmUPZ3WPB5bBdW2O9zSRyh8zTXL+KnhIx/wQLM/rYsSRz66eGaKvRJLkGTGNqGgVilueRocpQq7Qynphd4jKk8kqlkQsUYY4rNvlFgcnmF0S+4at3UNVGRdpou/dNkLSquDq47m/zBstgks/1yuWvoRqQWgMnAu/fJ1EkNM+w6gK0tNj4fa1pbjEtMe/WjfL0Z9prz89l2yHMOfeeaV70UVF5X3l34U8t/vjkghbaU1xn3PBYlw7vcG7Io3/dzEPVpPtWKFsHU8UaJd66bLjCPg888asdH7HYhyPsz3UbD6p5NfHLKKe6j11SxT3LVd9eOenkeuxj2uwYJDLuEEl0NtmPspTTtMysRnL1U47cADCgVuFucmUzG//axqOb48TuPb6RXohQM0AzxQ+BF9MO5AoHt42pjTxDu8p2nJSZD3mLN8Wai3DwY7oGDaaEvMJT59Z3AGohBFqjA51BxCMnznCJeJdiXN+wJEDS6ZBxi+Oi/1QClQdo6XGo+iDyyBhBnGXxK6ziFOesozzSKQ+O6pGjm1hWBt/VCnucaWC41OiqdOmHQIBxo6awpMEFEoxko3ujC8ujyO4Qb4onMyAaRVSavcDQZKVzYG+2d5HouWuRhKOSKGtSF5f1EW+jQ02NfHRBDoIFa/zjo5+g9C61xapNjouSBQWZtqphT2uRCw0URYbH2Q0RNU3sm5mwdKI1/ZFLH/PNMFX/A0ojcs420eofAi/SKkpBjJGBkQkQvZhFc2HSkVokXAtDV5bk5Ysq9CvI0Mx4T3zmM54ym2OpXpbHklmKdv1Mo3fIU0gP6s5z6ZlkIi0ZSX0ekIqw8ZT7jiS61rWNKCJRofect5inNPE3nwpcgkAay4fQZjLlawtKXYLEDh7xJNdyGmPGWLQb/lJjyIqgkaz5tp1ibEUgNRIBiVmwPwJgaCX0JQyTFbscSpBJimRNKOGpSZbwi1DO8lpLeRathIIwpetT542GyFHHjOiiW3RIlB7anFVusajBCirhEtarrKYGoBHlqxP72tC+BpZR9nSoygjaMywh9J5N3dRhBUsq/wLtla20dGhwuncekljNb0jliA9zmTbczORAkFPpQnUqo5e6i41oc6ts3Cc9uenlKny7a0lpYlXEWFNkf6sgaND6zjNF6DVSGwgNq3QeCE5mmg91q1MsV52PtfZwc9VWjmTaSbLeBW3aFArnEFlMU9ZQnkQk7iLvOsqBlRI/1B1j7Ci4FrWiRLKPTapC6fudM95Xv/khLBED69i+ZhA9it2joySlyv1OND3zLWimALwz8nx3IuAUEGVaNUXlAZY6eWPNduiDrzhuaqnCxSXXMEs/2palLygmi9uqhLS2OYVPoBlQRdIHsrjA8qvjS8uNOdhjVdWYst1qHYmci0ndKv9Ok/qr6SkzSqXfjpfIAYNyXHErUgaPkplxhehkRddMLxfYXnDKcZm75lXTGnGs+aGUqcDMZRRSz5/jPKY048tQgeKtIf31b4L93EZI/tl4KdPwDivqqj4+GL2GlJWEB01mOuPYUYruayAz1V8w3fl5ONbqKVNzw1kCLHKqa0jGcrpRsm7Ix7Xh6mm56RZnRQimNaHWaIcIFaRN7HSbxCn3OHRlolpQgTL6zFVSN+TO8mVquN0ksZgnodlGdaSn8suRwxzFCaaVnRcOK5dhZMrJIlJVBObQWOzTLinm6Wa7Hmmo8XXCw14MXxfh830LHSlB51vfAs3ynyktZt5JCsP/Pvt37izdSMoYt7Pfq/Jn06K6CsbV3A9sMq+dGsN5vlasngFbTP2bEUqh71sRI0qrZ9sg/G2ShDEp9dVUiFt3I85d511mwHybtS+VE809qaTlaGLOkFkbuLw6jLwLO53fKpHc3VazjvjSML96XCjjhk1enffIYcV5nW9NGtO0WNX6FhaCu/KMQOq9b5ndG+1r12e/M6X2DQMPQksntM7mlGdBlxfhCa/kSZ08T28jO5Pd4iln9TS/lHs9aXiqCG1mzSEfv9I0YNVuma9W5sar97g6XO6Dim71bhlZyVj9LKqxQlwmHz7i2DvYqTmy1yvvyu+G1+nFzttWCAUNUbdT/8zt47paUo7W8pz0OZF7b6+J53f1RVS8a3POTqqWybeG59LZ2T7IObeH7nX/Gdx5V/DOVBJSjgUs+BkF/OtfO/3Is36klQ9iiWLdmWEPKKSHf39Hq6eB0NKg9w/rr53roj4bQDMZu01hMI3KqSSbEZ4ou5Fbq2IjvXuZEXFqrV/TJWSbjlnbHI/DJtXrEaeRMbtAv6CCscKAMV26OaIJPAscOSrjLHfjIYzxsNI7jqJhDevLMJOylOF6EwTSDafbJ5kTJZGbuoXYvuiDvvsjpLJKoaFrwms7OfmDtvV4Gl9CkDFiII1wO8R6lVLQBmjQhkR4mfxbNJXxvpQxvz9rv/+9E8BJy7aFuAV4mMNMgEOuUw+6cz2/QkL7M0JGKyMhbKxSUUPmgL2gQIuGED28Qr5F7JeZgzO4qooDaAV4IAd4GMPSui0X6hrOWR0PQr8PoR9MwsLtcqKFUTP8kS1LgppYuR/B47COshtmSy5i2qW4+hO7ALWJyMFH8b1BAbpY4Qp3opFESAQ8QEJ6Sq8u2T+ySrmFwosXTAkS1JwIsY1sOTXHcaEsFI1E3Dx1o79T8Sg0Oi/x+ruq4ML1K8P1w7t1xA59YsNBiyZBdLB2xL6V+b/0QDr1QMOtq4xKmortoRoMHLNLihxR9MXQmBYuokUEWkCzCSdrDJ+Sw4+IlDr/HauT0ugqy7OxNAuuZusK+jm2Rjw4qyovGQw2SFQnVuwYY6KrXTw0Sas/cWnBPzrJVcqWVquevOm0/zmqNTvC1HC8b7uuyRMrHTvKqOOQVhFJLYw/VNGsRUKwkuk104iNk9O5uwElMapHrqwUfqzC4iHEWRG/rlw7dSzLN+yrLAsk3bIt2+qQg5RAOnsRljJKc9wp6NK8jlRICmSJayE5pPwcd9HIjbTLMmPKF2rERgxIxEnGyEm8MAnID1uNdHLJmIwVTJMzQJSyP2otnBvKbyHMLwoUUXQXoDpK8aC6WGmVsSFK1gA+gNQcawxA9pkqs3Kok5rMXKy/0XmRkPxG/6pgynmpKBtyDWCMsqDrKeRSszWbPT18qqrriqWrEalEyp+0TuYkJez0yGl7J63bC3kkQCnUJD1MQpXsMngsorhDnrNclT6ECD50zzu6Q/UDx9xRJXRURmwLNPpcR0SaRnKCTwFNjvhcTzc0KCV0PzjUTftQj/5qy0LMPqiiCnNrPsFEKQD0NZuIloypIo4sRQtLm4WhsE98Io+rS3C7uquSqy4RqaaUqrh8wvF8mwODHJrMrS3cSu/YPTQ6zWtiJ+pCRQ/quFvSIVXJDtLKrlz60AuqtY7MxKEsQg/yIWkLE54kJfe6LNa7ql+5mbLrUFvyCARLT65sT+5bLJ/5yv9AfD+W8Z3qBDgoNLp+1E+0tEM/iiixXDtaWYmXqxtQO7IZ3YziGwuwklImzVCWBE236lCsjCXaaE1cSzOfoKnAPBUh004sujyfvMsnGz1pE8gJFLMG3FRecUXaWzhikqxb07alwca7Ixtdsb9XGpBuvL87m549uoolAhBOtEiW2NWjxEW6gEYpQZpkAa7PWz6lAToZ3KIr3CwC3KDMYiIc4rvBqVNs1Sc1/b5/Ists5ZQ8Bc2WOZ6D+1bOUDgWU6EAAZT4MUDNDEiJxIoLpcaPOi1h3SRrScps3FTzaVI/ndY0Kc/hMxKCLdJIE5Li21dWkkv5eaTHGKKT0qiR5DT/nhucBk2byjy9OUXO90rKozQJbrs/r7oeQxHNT9nACdMIxTKmPh28EmEbD8Wh67lBynSkXtLYngQvYmKvJpQUMk0/NQ1XtgNGAtnWtus7KMw+OH2s/DPatDRQfvIzpy0u8cPGqTlW47CghwvGnwOfWBtYWLPNo+RLAWy5oovRaJEIyluffE0J8eCt8CCUjKXC4qRNKwuieuXNy/TT3uraYXnYUjJES7JFChpPDutYohu8gVTSo2xbzFMwrmMNlLU/JuWiDazIsC08oSLIXhvVHp2PVe3J5oM3DdUbFuXVl7xWEgtVEDOcDlvFCfM7oVOax0skYrUbbiEPwEQpvcxO/wc0zHz0pABcOWcNkGjSXf78kU20Q2CRiPycR0gp0PpkGQ0qQ+ldUza9R32bpJ+1xx+c0+9doxBV2kd5U6i1T03RQacUM/ObpNltj73yRQ/JNMXVS8/a1K/FtTPzxuhUi9iKU8VNIrJyPO+aDdvY3YA14MSxJsbkuAiqoeQD2PU01cXEvckB00h1wbag37ydCXQ1teUdqgDUqtTLzg6i1C5SW1a7nPE6zT7J3+wRWcdNWetsSfh7v/1RL0R1VunJ0Pe1tHuF3H3UK28VrOs118IKrKmlxwbzju59tCRGYpjhLnySUyiWqiYm3yvujuc1vGVi1brqWdXyuH7VMehZV/+m87EzMMZEOGDdQNEXddTrLLHGWxvrnM1bisWH3OPFnK5P6TzN9dGvqziJ7c7NPa9OjbnfJE/neDZEZN1lJdXJYEgichlToaeMWUoAyAR40AZ4aAWPCDLtJEzHDVnDdcfxLGCC4WD06kHCi9VrMxKb88ZgYqRR0QsElGLvyARoqERQ1uXzBeZLK2IE7Rk8ZplM4IdevoWVOWKqmNe4TcPpPVCuBKiI1Ulc9aO8LCtskdJs+SnwPa2WyARyxgPQc+NeLbNUmlKbGj3T0KAN4cAPfMvcTdHCy2Hx3CiLAskfzNgIFJPk+0DraWTVlQ11LRfGwq7mK+GECh8J80AQDIr/teUguBA+E2ZOzKWi97gPVjFbg5Vj7C03bzGUl6Xjwe3Y+V0+oq1BUOniIRbmceVd74VptuMzsRTanjFTZ5ZpwXJfsMTW+H1C4XozZSVVNJYRcRoSdTVfBe6ieCFge/YgqB5QUcQWi/EqFWbAOG7Bs4VVpzKLg1YNyyq9PnlV7Iqf9/nAvaE3mNyYi+Fgmosb08MeFLYOawKrGQYPSG2q0B0WKa21Mr5dFFk1zfOJI+3fxDToK26+54PZ0vtnUI1su8I+BHzdsj1p/izqcJNpUwknj7VPOP7J76IWsP7eGzVD4GXoAw0ehIzWO9Q7KA7P6SMbpSLmKbQvIb5oar4v/zOVz/DVWztFj6mNNwhxae3MacUiN0Kkk/EVWd2WldggsP6j0/VtMOJ9GSzRzYfIQdN5nq7O4Np8McS1PFeC5E+yaoLsVxT+JqJQ5RkJObY1TE8kpgMuR6m+DdzZ6BtSrhJrud5tKxWM4YJ85SHLYZ7lo2cjSF7Rbs0eNsjFoPWZpPCRi9kEUMRw723aztDGyYrjzs/ODJMl0lhituNmK8tO3N/mujrKYkhelz2zbbY7rFaAhmGABqamaQPjK0qbJJfWMJxuDzgaBkskhzHM6Vdxox+f5j9c2nxSuBT1UYWNMU8d6sxFjqyuXU39jU/yuGHoZCI3rUJu3D4kbMu76/8F+hwLQlEUPGZmE0qd9bS8ZVH/rmBHdGzCk1he8kYZnBgbMAEXwACyCd0s+2JbWenIxQ9VASlaNdaOHNALyoRhuIVhoE6m29CWKu+UsvCk1KqQHUfp1CIp9cwQniz7trRhLPG6DU6vSAMMWIIlmAIbsELpMzsYx/HeFqxbP8N1bHVXdwHp7fF8i7Dci5mdNqMkPx4MGAIbGAITcNAE31sQ0S1w3lTrqjwiOmbEQW+/Ht94rcqknGgYzuuJlFLQwy03QhCI8SU3d0Ts2lvI/kzCiUHtyUCoNDGoeIsDgKk4seu2Lq9Nc5TTzJYbA9YBAnfTzJv/DNDhG0YOjymapSL/iGYIGFaaUNfsMYs5sd0iCPrUIM14q8TiMyamJ8ZxtEsDkz+bKCZ52zHu/LhxM2qz3jx2RnkFbpAGadAD7VV5R/nZK3I/qWwoeG50Tcn1qtIDo+8OwCgGc1j6RQje94RdAFFfpIcV5yPQA9RRfG2ph/dfd8cqXzJsTcrozlUO0QTFb9+6WWNv/IBUwiwGeWD69REixZSGpTeHpr/3ZjwYOJaI2j0cZtvfDvbq/Q5GF5PrxsyYY4FGJlVtlibTBiJuBXXu7dzbjkko0QxIE43ocxerhCZjpX/7u//Ypd2EYniFXOAXoSRtvex5z3OLM0Ao+74NgQ3jBOXMSu9QC8oI/5bX+WYWilwwB27gBpyvxy8cBjHkfVov6JSpTmj+Vpw0eZenHeJphSEvhdpZYv2DyTwXnb9pVP62m8cT7Noswssd2QYBPoHH5gu8b94ld6GnFEUESrz3oNaUXDc2CEgFDWiKQ3LwZOsHiAMABgJYQzABwYQJyhBkONBhwoEIAZSZWDHiQYIGM1KcuDChw4kARJ7ByFAkxpQD+TRq2YiPRJUjIVJUifKhQpU0ZfKsOVBgz4I2G2pMCBRAyYFJhRI8KnJjUIJLlx6NWHXqUaBnsqYkKfIoxKNLI5LUWTTqSIwCEw27dQsPz5A703JkipPnx7sp5yaE6tMnUAsWOFgQ6f8Q6sWBfgu6fIn2cVzIkidTrmx58s3LmiVX3Ry0s+fQosni4FKlygPLLF3CHA2ZL1+kdaOOdW37NmjRtVPm1kzV7O3gwgH4OF3EguU1jVsTVQzS49noISNOjzkbKlCaUFH6PbrYudKcKZNy7Su1OXi7ULc3TTgW4neUu88DOLA09uz5i/mmmW00PHU/AYhRXgUC15FeM1mn3l0iOVjTg9FFSJdSKPiAgw+pLRhgSqu1xNyGe0WFUnUmQZZZgtFF9J2Af9lVH32ybehUZTT9plRu91EoUEnZ5faUijU5FZtfLMIXJJIt1odfgzShiKKLMkE0pYgmgoSeQAxRKVGJDCr/x1qUw4k5JpllmnkmmsMxmaaHjoW2JlpwpjmZnHPaeWeZdUaExxlw4YnWlx8ueOSGiE0IEXfRsacoejLSxSKCepUV3VjkJdTfeAcRat9P5I21KKLPtZdijBHpyBtGi60XVFJQEpgSVLvlpSCFFCK65YIRJlZfJtqQQ04rs03oF0In+afWfLtG1CaItV75aleNhvaVtOmR1WhuVYkV7X9/uRpUqDjd5GRD1HI5KoWxStWbTXLVdeu59WFlrVjs6hXutRnhGlsm5PADTyu54RrklrN+x6lJNwXqpmd6/jmmww9LTKYdl1gcsW2JwAMNwBPzxKzHA4b8p713ljzfnc64/+ONO4f8uUafZ0Aa8sLNPnusZMUqeSO0YQZlWM+U/diTjbC6FhvKN09W8pm7sOyMy9xayeGIrMr0LZkg/7Vok+gZBiRGPLe3FakQMippueiRjZRWpco4q9n4AoApjGxnOqhF5sUrX24syldqq3OpanS8dK1dtl3kOYOOymsc9ixKYFtnrHUkfjabuxLinLiStNZac4hKB80k5SolLV61lGGdVdIYy8QzkayChvCKz5bXudvfzZx63at2i9Qhh5xhB7iPjXuzRa6eSjh6U6J41YFajzwa0Hi6Pj1nI18fHNYSg171aNvijv3vqIdOPvruCQclbKJT/7D01lZvF7463/+N7oBr6y9s5i6C7eTjrGWquuWEXDEJ3N4GSCED6c1ZSYLUpOzmKK6lSiUbWZu5HHW/31VlI3JL3uYMFZmbVaU6D7DAAzQ0obwZTlMu9BxjwPQi3pnPJ1+xlMjGUrIOgi9M3TPKfJZ3MznRpIQb1EuPdqMs6SipM73xlExmtpNh/U5dPWFhldDGE9+lJSxue0gCitCEMWLRITvxImTil741srGNccLeTs4gx9Opzgdj9MEPN/M9N06GjmOCEtOWliY/oomQhLzMGaChDW0M45BDUYgYm1AEDYlJjXZxUP8IhcR1oUt8tJqVEumSl+wsEFeHs6JC0Fgrub1QgnTRzrv/GphBBwpwcq+TDoq4uKDv1IYvQ+vcfL4mLPzZRxvw4Ac0CHkTUkZkMIQp0QrVN7emLAVue7QSk57USQUCaIeiQpz7aGkVatblPeWUZuhgaSVXFU0vtBMPX3qEPwsWr4Lomog8B4QYVBWufWozla/IoY3DpQeVGgSPlpqnNFWOUzyW5KPxsBdI60kNotwUDh4y6kj0fS+PFv2oZTYKUpBOdI1ag2bt0qNOiEyFgFoBDeVaGjTO2fMvtNsfcLxDNaAsBofiHGVDuUasGLkKn+TUp4o+pblazhB/2sSdrFoZTWPNxY/aaiDqolnAlDpqJ9f8C5ygo5LbiYwoWLydNdWC/9XZzG6rf1uqBh3iSZos8aAHIqAqnUfDeaoIa3zxy1IMSiiWNpR+qDMj796pU2vJNF9gHWLu1Dqbh241i469qFPn1M6pCQ0zVHvhWFAktiu2R5V0ZOb5eGIvuPXkdL15auh4xBOCFs6Gl61hPe/ygOXcdnNSco1Iv/gYR5Y0OMX12BTHdNztjZQ6X32jZcd6RMoY8GrMfc0jezvTzVRTMvM5rulc41HqgpSQWsMi3FCKW6bU5jt0zSDtuFZEJA11VLtKTGJ02Cq3aVKuOsojKGXrybrp9S+BlSxVGsu+UWHnPiC0AAxggAPkvLJUZXhpWVG7pFXGqL2cpE5mFIaejf+8k4tgGdb3roer59mVttO9Gu9isz3ZSteVfSQI3fIZlQFnl4BHvShYWolOyaYEBVVoQhVAgB9vShOLYKwLWfHHon1WFDIo24kax2sbLTe3yzLJRCZKkYngijNOKBhjE0DgZdEkwAIgAEFhKPNcGIOTTFeWWmhJOzEu4++7nkkkPH5F5s1woAg4OM6a8VKnBIyxCkWoDGXN1pzInZOpLtaggKXMkTPy9UXz6w6ORHbh8NA4YU+OlDvVOq+Dlvqb8vrnqZEyjF9pw091665lF4vUiKQhAfrDsAZB2FWsLThGN+0KX0SbNhmtwY5NwOMljwqkry4RP5z2cZJqxWO7Vrn/23XmNrYza2MrZ5uevzvdLK2SSIFq44L2RdK3ILU7fqLsR/2L1K7SvbO+KVTfQAmjGH3Qy7uC7LqaMTheortGPg8yo7YOaaL3nEKGz/lE6WMuwxn+29aCVzMs9ljHgxOBA5A8TcwF2YQ+l6S3KtbShcXOC0HJm928s8LW0uXyhAjFV/N8uzW9tIxotGvZ2G9N9sq34FAn7w63rSn+5S8t2akUDAxhCUuwgXBRXZeb7JzbQo91unjbKDhROdxljYlcs37aymLWfpOhYFY9u7Vs1ys/zTkua1+kS35ydq2dZnKom1N2u1QFA0uYwhRcQOLAg1ihUSbg8coWqwNUPOIP/wv5ZxHJ5uEMGn2Gr7oLLBpp22Ce9Jafnsabi7WtjLz0llmTq55bX/wq+9TKmk6XGgjzgdBt8uJKkgFpv+ymDoiunTo+zxFWle6hsjNp39CuSKxOW2EWiKU68dl+jvwJqgiCdz07+LlfrVI3NtnrxYjWdEc0bc/W7Pd+8Y2hXxmo0M06QKeNWTXZE6EPTDLx5GEtdcZ+9cTMtBVklB0DgR24udIv9UkiJMLDudS7zM9jpUjl9ZjPREVd+VbYVJowdVq7jAq6jdACFpb54BpNZaCzoEzelZkGxp7fMdVj1JwGykSOnMyK/Ao5JJPZ7VWIpNzoQVy51RMgNQyeAODp4f/JbtRG550JHkDDrzRSeNnGV0kRCF5hjWBh3+1Y+JXPFBLZWG1UkG1GjuTWASDcn9UYWqRea7WWDmrDZXBZpOWb18Qg2zERztwZ7qDSANLHE6lPqz1fmdHRgfkg2+GTJyUADkgYBwgi5czMGiyCJHIRi9CNVxFIdd1Ob1DipFUHIgYeQYnPVSlJIoAZHpTa7lHI2rCUESUI6NyXR63J4NGgOH3XjSRNeeSeo9BOtvweZ41W54AGiZgLftkSgllAE5gGDmxbTQHAJpiDPMjDKwSF34QhWRBWB5rVZjgMMN6FDnmhwtGZKK2E2NlGE/JdokHJOYqGBZxGFeDAZWxCNEr/YxLWowU1BiWt30exoRLiSQK8GZx5W0osAjdIgzlsgmbM25nw422IlJwwi4xlxuEkyozgTF7ch70xD4EN2WGZCxNuX37wHzr9oe19oXa1oE/M12M9lUFgyt41ENJgjo+l4tAVCR52x87NSgRN5DbFSCoSS+ZYjgWWY7a9lV3hRyESWddx1ZBl0OCpYbiVWBahRNMFY3al4n0hCS1ypLNQTsTUnIi1SIHJYNB5hkIqDUx1mHZ1HhASZXCso53ApT3OJV0mpFvWIxoO0hrJZV0GB8LVSfphIpY43db1pKkMCTgCHU0iDkX6WGM1FQANyvCFm1KBogJ9ICAGSC8CE2gM/05BEdWadONhlpU8IVB6/Np4ABsd8t6HLcjXnSGUZZ+u3Etf3GULRhDVOMR7fGIXtqariUxjPuWAAEWUKYuRnB/PKCRWZorzGaVgaWT2NGMqVibxfV0PRsVZGiI2ZuB2bpxjiVUQ/glf9iV5lif5XOCa5aVwqKcNbhl2rhlDNpcaTR++UFAG1Rtc7Uw5WecI4th/LGHCtSZvop3kjCaqDdikXEVvbOYdMs/eJUVd9ZSSQJBu3syqdc0nwUuGigdqumZdUJCuRZukVaBGiB3cxZKpucg3StCdedIYqtaHpg6AEpAu1Z8hhhcOdo4gcls+rVql1FR2mqAMMiMMdY6++f9lbgnRpWTd2BWmT1DWBo7P5XhdG6aWhsVVt3VGLH5GNfUfZeKVuRmbz73O8kVR+02UQTEl/KETBZ7HlXJgWqxovgBd2/zSz8SQoNwGn40nZfCpC05LG6EgV5LJXDBNUfVdfJZJeMpoPwrk6z1qamFgb1aGVeklWrALK2FXn3Icct2jDP3YZeVTltgOhFIlcDbQixKQOSnJB1aXXSGMLhUbYyYI7MxcNm5fqlqR8lkoVjGTsmhiH7YIdVKfj0kOfszPx6XlZyUYSAKOudVc6bxIYHLV9I3p/bTircKWUX4Q5GghN+mk0pXbL20gUF0rVLppbFJqZGzpgijTiHoLrYb/adRpIajtEjUWD3qap75KTOqpJ3va46KOxo5qHoxyFx/56ZxslFGmyXGN57/iKcMw3nq9kxkJW7SmaHo4n5Ig1qkqlLXEhq5tR5ekHR2hUn7tlLntiifx4dg0ys7RjibxjHUWI+NR4NeR2KqmC1M+5mDeD/01UMlOZvaR46caqKTMRfdwXW35rBoqbYPgDBKWIGexEI9UJTiyqrx+Ibss6KYZKt/9aICixcARmZPF4PLhS5debXYVaNZCS77uK8nArf9ZRqLKbcDiBpm4Hp2YXPWZo52M18NeHBXy1q6WSu3Z68cSoCwxD0aWVWbEEd3F2moKyEbh5PblmZQyiLAa/+jLZt5ZlOZkyqytuuKxlGm7Io/Qbh+LiI0ntRRClMSsMIny6YeQqZFP6QVNymIr3d/RguHUZM4oXqNwRV7eSei3zdN2JiA3mW6VSo6cQmVjbWXZqqXHYtv0XgST1GtXcRAIZhBKLq2IvG2X6W1oeO30kK/aDgf6yi0A3C378lHdzqDA2kbgas9wiK9kBKnPre9wneukrWH/3ip0PUY8yW+V+m44XmeZjFeOYoSNGmGHuKWJOcqAshbc5F3sJtXWBSUrHsv+3A7tmohExgi5otHhDBjzdhFdxJe5Jm6YylQK40/9OZmgSlUrGZRQQQ7aig/fCDDqHE5SimyM1qYMnf/lm5LWJULGEWOg/t2SY44pDbKL/j6vkh5v+m6aUfmviwDWVHZLZG4hAluxD8aOkYIT+brv+1oUGsZvGiMpmeBvV0wcoDZqwX6Ww9Tv+XnnkCnsZkjdniWhGsGq4Q7EA0jSs/UoaqljIndn3vDmfx2L9i5ss56P28kX8lUt4/FUvgRZhKzNcRomlcKa/CDRtkhxvtRPa3LxZ/bT0HLRg1SV2zhyKsWLTaYHQnyPH5HIAzjbMnLbMEqs1KRqbMxPE5MwVEEnVUWqMm9QEEFW2L6InzEW94KxOMoqMRNpIDFkcjWRMWoXZaCxTxTyGD1aG78vwhJwOZcJHJMFB4AACsT/GdySLxryLxeuDzU3HpoE7vagodYAm2FRcwaLDA+b0jBlLCozj+lScdhAj3to6RbrHghGMpSVnxa3GEOzl/mgVAGPjkXuroR0iStraKwKMOYW6SpvqACJb8qpaUX6YUVpmJwsz+qSkNtk2svhsx2a64wmiC/B005KoNZ1L1f+1T2RqAr/2DCT4PwiLmumznhFHjirYDpPNVVH3DpbFD2LbVWTGRvDbV5qzc5d25B18NxpsEo1WbgyXg3Ti93piwlmcaimZiorEHH61OvuG2n2jNtlxkVjx5QIY5JElf2VTIH2nuaYpi4Jsee0KbbxJNqt8uG46vfY6QKJW1yH8Y64/+yUlvX9zFd15fJIDuEAbZuOMGPwltEQGZV13qvkFbWX9pxwGrBolIhfbOD1CCXR5uncVjU14/FU+zb7XvVlZPUacS1vA7D93ulIjZ7x6aN3WQ1b0QduimO4aRlD4ib/XrTn/ul2y+V4hqXcJbE39xB1K7di8JaGQolR1p2j6FfnqDJJbmwZu/CATG/hXO/UiFCCWC32NfUrYebt+uKm4RaNIWF/l/R2OvTkwLWneaM9qayDHS/NotrIllGBatI+uV1uRyyHRF4gdUZ2ZqQItl+KLBPvfPJR6ywHFuFwfl+VYjJL465nXKlH/m4Y97QSn2nO8A6xZSHE2sxxB7mQ1/9lVPvtAQuSx+XzdstdOEUUiYPfeBI33Zq3xTm36hBxnkrOL3PV7Lp0aEuzAuON4+JhfadOYrRpVBWM+Xm5T8okzx1p+HWJnOra1zFrz61oSS/sRCBMY0bfsi3PqBXf8MFsWxtYiGD4smGZ2M0F0kzURWv3uf1YFcNINjVUo1ONWN0aZbu1ExPf00J3xoLii5bhBg1sYVntDDGUjFV55l6xCVKJE5W3npVo0fblbQ/5keM6GxW5ZdCzlB9crjv5aJxzmG/q9Kz5MwNXaFBbys30Se/KhYboaAF2zzmWhnKb7rq4WCb6N7lqdgibqOGOAJL3I6nsBA6dmUoTC6vuRCP/X5qeilTeBfkhX8rRzqygln7T93nlJpfn+IuN+4YZ8yxXj832Vay5F6UFnqvC6WalO1Mthkf6syYRug8XakMtpavr8WZDHrld52vDK5yqqXDrOsmX/PTwusnraZ6MVFej3rBH0aLb00q7ty1vp0/Zuy7yFaQg6KA2/LkHNUeMRY5pI119+9CGm0KiTLDG8lko+MLefGmNGEjiLPSBu37nLCfqKLgTKwU1N755b0LED0qSdZjLDZHejCo7ENnQnO0sLrrEtqtp7+8wpGcC7e3kbrxoMqkIkSqlfdLw2YwJoenEsBaFfLc+F7IWT8LjBKqjy8J3sUZGcxz6k0nCWLS2/9rhGuwcZ6pWL/liUPuVUCXY3vWTp6oPr7VjERTKoDz7AncCW7nHsHHwhsZ3M5Sjdvylrshd4v6Sq6FI8aMkH696s7qf8luwJ/vrw19x/RB+xiEED/BmTGsNMcTse/ONDLOa16GKMujgF/RZD3i7hij1b1dSejrq1zKNtmyp9Q+K2Gj1hGh7o9OpwM1ueJ+Mu7lU90x1BTqYeihPAwQAgQkElhF4EMCaRgsb8UF40CDEh2UICjyDcI1EAAcuAqh4wOJDgRxFeiyJMKLANCczFjzYcSNCmABmpnxYMWVFADZnnjTJ8yBInyZjosQ41GdPnzptnoyoUyRJhEJpUqVKNP9q0JI1D0I1OjIqTKkJNfq8SrNr2Z1a066dKJAPw4ZIEXqlexdvXr17+fb1e7fpX8El7Q42fBixyMKJl2KU67AuY8mE6Sp9ePYkZsGasZr9y/kzZZclA/cF7ddy0cl9S69+GJchZI0EW0cGnFVgy4e6Yep2ufjqzMJiTyZ4WrZpzpJjU/o+2VG3c5lgCT9tftB5x7EPtYu8qPl6yOmiU4Z/KVL6wPO524rv/F6x2vVsldvubXt07sfs4/N3bz663eY7arm8KMKPqpRmEoor0trTiSkB+7vJLak4iyg1CSf0TKQDqYPJq/vUw+2y70aDkEOytiorOOzasykiDy/SCcT/9naqqEYHVXPQK9gWks21IA08bDEhEVssQyOVXJJJpE7LbzCFYuPrySYptHKo2pbULMm+unTty8mqZFJLIX2cq64ybUTqo/bSUxEt/85IsL2eOtLpKt8K0w0qm2iLLLmiFPzKu5i6BOnOra4yDyqYVtJwxIhOE1EmLt8KCVFDWRItzh0vRbFAiOgccsRCPTIvMil/9Km11HK8FMo12aJyqhWRUrNITlPkLjO/cnVSMuJC5XXWvUBTatT8kmWVLhoJHOrN5157bI1qrb0W2wew3Zbbbr39FtxwxR2X3HLNPRfddNVdA491w9XW3Xi5bbdaeOWt995rz5SL3379/Rfgd4AFHpjggg0+GOGEFV6Y4YYdfhjiiCWeeCEQ5LK4YoExZmjjUjhmyOOP+w05Y343boTkjkVeiGSTL3b5ZX83nlmulEEumeWYcVZ555UBPpnnfoMG+machS66Zp0bCVpponM22mebcW75ZH+p9hnrlp9euWqoXQ4IADs=
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tmrOBZnhh5S7eG8/CUbXGIgf2AaGiZimqQvJcApGYHWR9pcE+IgwmIGs2R3X55VsUY3MCIJ8cJq8iZjhYpvDBpJfeHCzGJpPSAm9mZyq6Zd3M5dzkYbOyXbduH93aJkHmZFokJzaqQtkiXBl2ZCkuIiT/2FnY2dl8nd1AFmV51mPvIhO8pQUYImTpbmdvKkoUfVa7lRWCyaeKANnevWf9DSMOpiAFKefUshaS7mNT0GDbUlBgHCaycCbEXqYE6oLN9OaJTWg9vZqvShOjXlukAKcbmKcb4ic9Jmc9imNxPaAyUSHUsGgyZgF8ymh2pkMo6BopMcY0Qk33leK9EZqVOlpozSbUjUrDbeQ4MGJu3miyomLCzCQHApZ9kd76Al+qFcuYmWRSRmRi0eIFImJEil1DfqgpjkNyWmmp1kLzkN4+0SE8eij97mIzEk+UlKbInolN0mLbcCkNHoK3Tl9wnSWIoZMAgGCWcCnvXkKmslMaf9pgkvIkOOHg5J5oIpYk++ZdU4HAW8yCtqJpsnJB1Xle8wZbpVVnsUGK45pTnaqZqWljzNHUmy6Pv+RBRV6op76m09KqfiUoOlYcb2lawWWN8IJRMSkAbWAqKbZkbq6rN+VeHdaXoeKmJ66nXywGEhYIDhql8oXjtuKRLGKhdK0gpJKlEuRqwCwAI9An9MKqmR3cVKInwA1qg9nfi+JSkjGVCwmr3QXqry6f75nrHx6oyPpdTFpgHw5kObGpZ4Rjc+aFwugAelKn7WgrIvXsM7BsMC2o6LBB8eqC546DbUwCkGwoiLqrPKli/aIee32MkjZFSTAB4/wCMc6Cnwwssr/9qrINkybcUP31WQGahplARxCW4ZA6ZIW16tX6IgEeoKCEoDmmhTmGkucV4AOSZ1YCmRVelHrOX51uF4BuYgakAWYQzg9hEeO11FuWmh2pR9Pq5JDSnvzekg8+aZkxKJrBwDdcyhh0iEW27f8saoNlS90MjgJwrd+tKhX0baXmLOLa0jeiadammaWFThzczFt4CCr5WAaN49EiZWRpbi5eqSGaKkQZokNODn6x3p7uE+X+bUv5xreszsLwjlvF67Y57lppa8NpbjlenkZOlcQKXn3h7AzaR+A6x8xUzGVCyYU67fOK6xaWkZmEj1jIjAUgyO/2VRmwrvM+rw8+hjt/2pWCMQtshssl0s531qpWit7rTV46MK9GQaTyadco3qPsLivVomPemmnMQUB/vIvstuMqxup6oazKGulgJmFjft76Xu0O3hT+FhuoBe96CEwAHMndiLA3rvBSNOjKusUcUM3gqO8lKDBCsfBroQvB0Z+veozcuMt1Ws1UQisHfqX3BqkAmmpiwKbWgeBNDW1/IdyOVpfXNk4aTuNRiA9FmM/eXJrhTidFUZfoguePay5Cby+KnuOpdu9gAW+ZiavmxE4MqPEh6K7VAbEuMSHS9aZaHy//Kl7kGnGOLzFW5YeglqxKaI7p1Cae4zBh5KiBfxvXLx0jYrCFxu5VwIs2/85xspLLL64eQBXc3T5xiw7SEFnh8OnHl/CpKeQIKWymjlsnqS7l4zlquH5qzYXxKorwWxEhOI2wJUJn0a8wOexp8lZq7rQycoLyKZ8yqL0mkCmvkl7xf15s8NMk2vsvpakhAdrslAsGkaArLmsI+fLQyCisR5ptzAkA72Jy7w5CvEByobshXe7wG7TugZ8H7aMmojaycPRy0grej8qxZL8T70nzMWszKxMxFO2g77qe/hCefZMQCQwoxTazacpztiWyWs2dUfbaWg7yb4KXwhctOFreT5JyeGaGXcMFiQgzaZ5oSXbd8C5cHgsFdEK0rqABhuMzXd2LC60iqGzAOv/PK1lmpyUkH7kJq5X9JAQWG1vi7Qsh2byuKVKq6CuUo5SzL/T8rTpsaR86qnJ8AipV4mUmqpRfLA63H9QvJ/IrI+iesAtvJQ5hGWO2hZt4M02jdMuPc7e5cxqEc282bH0mb1GrVmfCbdJpRkFB6RQ8dHbudaHObFVaLrFG1exlbVJJ8/5qWUyfdfoNViu6JmT6mZINrrgeiRkKtjaCQhKEbXzRqeuC0nXSq6/DLx859UZ/XmuCsHS604dDRYAe9O8Oa0ygNFM933E/HWD7M+gKJsTLdGMi4drQ8G6bRrrPNj0+QiSPHTP2NaQHTmX/Kc8w6kBi4tHLMjPjNRhumiu//vdKeZDRshdaPwdUWvdy+2mwTu6r1xEs6faqb1+UxqTvi2UQdrApD2uoqwbPltAs0zMXbIAEMCxHkvbukDVucq7PYe4gXyElcwc+R1h98t9YPrBjF2ql40XGkAF6K0LIfsIQQC/P+3Wfmu3jSEDQZDiAWjOBhfd+2zN31l9VxGJ4X0dIk5org2vdxSYU5kyYCxRtRvBoePapwuDk3WPN7x6V9W1c6ywU6HgDNjAQdxhPVlr5X12pMOm7nblqE285Hzh6NgUsU3iati3Jp4WN35i0D3OJi1rHte7TcG9plqE+Bvc6ciHGqrV31a/A6zGUh7fic2+FV3ERqnPXSHnX/8saOu9gDheJETeila73XH7xFU94rttwCCKyWQO0xbblZv+6XLCknRrw/6Zc2O9tR7avvE01JyLvlmei8gXb+rJ2pA6dpMNbvPE5EsunthV5ZT8SuXNzD0eipZOsNBGz0MmftJJ2WK9K0OV54LMxlnJf73u4sn+28Q4yLC3ct070KgB13205kbnu//Y4l01rFop3KNt4W8j3iS9Yhot5toqpK9L52m87ne5k+xX4VSkeRdNv/n+6vbd5BEO5gYrL8L2mXIMfeQ45fgWpWVb43eVylZsafEu63LaobkB7qDe8Q8y5ocL3pXM6ZFxcJ0JUfyIcqrHY3DKiMtU7Qcv8Lf/ot8FiO8EK539bXs7nOjHtjLH2zLWc4oMrpBVG8nbbonAvNOBu7mK48pN7uW13mIh6vEtvT0ZPtyDSvXECrmQUtX4HfWYGmhBzt42f+fDHvO7mLl6F8/7rfLIvuvXroFTH9nNZ0XrDdCW1d5fKvFBCfSBvu0TnV20Bc++CErorKJar6ORg7ENru1YL/KJj60aju7VWeyK/+WOf9yviBkWgqPeaJFXh4SZufZLb/YGv7kwn7m3/pNYPfoXZ7+bD+m77fRKcZntd+pZPV0/e9JFvl96Ha+lH+aMHvMv3fbEP4QW7xw/H/kD2/GeDqiSb60t9Pgp5MxTLDRe3fKzLvNY/yzkEw9+2b/9msnnfE/lNuxmTMnQSZM9WP3m5C6+D6ZiKyvxuB3MyAyn+5l3j67nuG7oHA8QAAQOJFjQ4EGECRUuLAiB4UOIESVOpFjR4kWMGTVu5NhRIAQSIW849FhyIEmTKR+iVNnS5cuXLGHObHgjJAkNBlHKPNlT4k6fAFjy5Bm05NCgSI0SBKoTYVOhTJ0mZVh0alSIVilahdrVqNeISj9mlVo2YVGZVjWIxLn0oNaxcbFm5Fo16Q0jefWSgEpzrtmtgJ+6TWtXLlqqZuv6PexWIVi5Zx3/XegQ5M2cjDU/JdEGEKXPoQG14ZsS7mbUqVWv9gjBJomRfk93hP/rGvRt0ZRAZ5k9mPVv4MFd9q688mZbxYCJv01M9qpgDW1w5w4Nug1ksZGf9yaJfWXzhuGV/3TOvHlfyHP7Gm6scfb7pWsxUybfnj779Y7RZpl+GzfuLDLDqLvvtLMoO/aWgs8+3yjLT7X0iktOvOfuW+6j12IT7iUSAKnOQ9Co+4wSIy7c8EQUU0xwI+6OE1BF2vgLsT8QPwTkBpNMXBE1HWG8z0eX5AvpxQoNDKvBljqs0cYZqyOxMApV6jFKFaec7McFqZQQyK9ssolILCuqrci/EDtLRv8+/E+06yQz7zH93oRSvQYfNPNN+ubcskwkteQOzzgju9NNPsHTUij/FwlVND89+ySTTqE8E3HN/yhp48XTxMry0IkuXOzKQgWb8Mir/izvx07lZFHUgYREjsuMNBhxSUo9FA0QMGFlzEpdezXttVfr67XDWkNUU7RcH/V1WVBXXZbXhtjK7EFU4RSVWqyy00rJWmetNdlqrbWwQEjDZBDBPQFllcJMyc3y3VE/ZTfQcO+aT9Gv8k1X2X0hsJXSJtfElVN9qx20XkfFVLBCouoktWFS60U3MHUHnJcgV8Fl9k0jdDu2RmNva3NjkmMqObXLhtxVNW5ppa5JI07l8WSZaTaZRS+DNdJKE9v1KVPpXA64ukv3lbjUIgfV9Lxm/XzU06YJ9TlP/6QTm/POicdjKGN8DSVwy0+Xm/MGJ739OOaoL+ZXXWhPnbhRc8tdtGAkxySYLmGP7vJemtrOiOwmj72Nt4ptNvzwE1PWGfGnjJj0Xw9Hrllcci/ym3GbL99a2ri06rHnBCG+rzOPPZ4VEMJ3RBjPqatWe2m60y5c1XUdpvztCWEfd1Spi1M8Wc+93o5eU2mHwAjP1jSitKaVXnhy4jQ/VPewm4839Lxl7xo/sA3i2mjLtxcMWpDwMh9T2sGn3EiCo++6eNXXhkl0hSefH1iNMV9ZV+lnPjBF+LHvbm/hHG1a4x79Ve5/9Ztfjg44uwXiDSHfo9vX4hY8ijFNfuKzHv+D5GYoQGFreBtMT4T21JRNHcxO4JsS3OQlFPwJ8CjpG+D6ZIiqFc5QfXrrYJQ0p6cWZg+HtiMTtVrHqd8lUIlLZKLNhKQhZz1rOAqUYBNtaD8rbidRvNPd9ZqlLQ1C0EERI6IPfWPEMrppPfQr4ZUOdq4TJix8cmSUG32Xs/ylioFZ0+P44kiY2kGtinVjoAE3SEWjWbCLV+Pgpq5EwSxGUpKTXN1Rttg3LvVvM5q02P4KyThBniRDigxj9cQ4FUbaJ5RzExf1tPbBUMFyhLJ8He/YJy8RqrKG2ruhHa9IQL4hcI+7jGAKuQehvAWxkut7Yy/9ZkJdum6Iv1RODGX/Q0lsejKbp/ylfL7ELE72MisQICc5D/lAjoRzkBnk4BKTyMXYebB2TwujOJ3pExIg7xS64KcunkREVwoqXVNLJSrBg7sd5TKW8TwnOxMGH9fc65kJVVsn+2TKhrQhGdcwxzrWcY11dPQaukjdMqlot4qSMZ1TRCdGA3rPIibkifTbHb4cedFPUhNjlAjpR30KUpB+tKT0sqcc5+lQafIwbgJ9JRzjN0cQOvSdhlNnZU7xU6yC1BxAPUUeq3RUB+5wm+6xphBnMlGPLAACbciqT0UKVI9SAq0NRWQfx7qaZuqkgCGc5StFqCMUtnJdLLnBNYDa0Y+K1Kc95SiOkjo9/9ZFtZJrVJbYekfMHmbNO/JUX14jqjJaqjSZNERqI3nKWMQa9qeKvcYpsGXBp4qVqVCt6AvpydnQGpVi0AylZS5514sU9qdahStrf0oC4CaXf6NEXFURwla4YrWtxM2CML8KVuU28Ce/dR1CZ8vHW0bWQAUFDCAUi9WtZlWxgGChowqKUV9eEXRm5CZYu/hdL9Y1pUxhrkJ1K84c2m+VBQHEatGrVemaw7Xts6hOd6ZTl/73gpNpY33dBsjV8QSS2ZUIIA6b1aCq9q3rWDBtOXzidHIXxQwpMFxDHFIXL/YabUDnim0sEW8u7rKpxGC4MIhGgOLJCBz1KHGL3Nb0Vv8XwxGs532Zip74qvGymC0qEkv5vD4CUZTBxC2TcUpl28pXA0bgZzI2Kl0EFzcZyF2oU/1oyJWm8ZRYG6zwqMxO/xqHyzeOVhZsNSJK6ELEMYarXOHMZ0RXhrnAvZAG/NytQIu4rWuOpHPpurH3QEADmzYnGZMIW1bK7aVhfqkMH0SsWj3CP6ot7kfZG9tiXjmN5AVyNOl76xrSNL/lahFe8mK+kQR2Z2WtJyYvrR33CYR0IGPSZ06R3ugaunAVzm0Ge2xiXkoYvqziJAphoxdw78Wyl/lmTpN27DerVC0y+pjAdOHWj54CueCN8/usKz9lwlTbEp4tHX0N7n/rBYr/XiP2vb0cRcsF7VY0ws0pXAwIy7ZkrvU2a3NXYr5fAzzjRnAsRGYKK0svREmCYzZuBJ0MSnQ8rNpFd4Ol2Jp8hpvjMhd3VrhL2VzDk21TxixLOja0NAnsRl59cL+zFU/vIhKMgm1veItOVArb2yhjFjjNZ57xTi8kx9MyK72Neu2YIvsgfjYbjUD0iNAAb8nIbEjKNNA6uFf8plR6o66xixCM0zzgAG9lwW0cncAJzHQzUrlmcJ4VDeyd48xLNLZrYnWZ792rKRt4yy2cuGaHLGQ1cuwCZEPuG+QMsKHXOLgZb+zkxnzjvmZ96QWklQ3XdIDknTbUIx4XWZUt80Fn/zNBPF97WyMK8svjo6aHf/XYFA9e1HSevntrUNep/vg07/34YghY0v4Rqe/VusKB3q0bRf3yQnHN9CvfGKqHW/F5OX2XJWvLj6xl9fPlYS6tJP2Nq1/m6AMmaDO5mkcTmiVxEsm5s5Wouvy7OiPIn/JLQAUEN6Kbn86QlNIZjRLhH5FzwNYrvQV8iI/jt0jKPUg7G9kgPb2jOXABCQ3UP72IQIm7AcGrkaKxGfxbv/zDi+o7i5uDvmXiLafhtlg7Cf4gue8rvGMKvhocPvM5i8ibPo4DtfeLQiEsuWMhDaPrKywinlaBPBtswTOCIdjQsdGSnYkrttkAHCJcE8lBEP/y6UIOzIvXwxgnfMAn3LcbUgrXKDuSG5in8y5ha6qwoEMnhCLYU7HrgpAhtJGX8RAXzIiY20BB/DcjFIi8U0DFC7iQQwhiocJmGyoUyRTVg0RRXJ6s8DuJo5njWbhFBIQcHA43RECAI4pXXMFW9ItEjMGhqUVfOR6r68LoMcRssyJ2i8EC1CGmsMTVKz3zkcUbhEU6jMPL46OWWbihCQ0lc7nNyCdIREDWCws8cj9aOjyICTA2Eq8rPJ4hrBTU4b/uYihRmsPIY0Z4DLdaJDUFcpw0yTxmI5JmCrOlaj6BSLx57EAkiT137BxzW5u5C7WPIIEs8Iw2aIMssIltG0P/XhTE4yPEgQg4juxFOGQ+LOyJteqPYrGRFHyoECqnI0I2/HNA9Qukmzi/xjsJlcSrS0zGB5RJquvIJhS4TDSI5GG2dqsRXcwR2PC1IeGVi1xB5PvIqjBFzPlJ1ahEFtQ/mVzKnrzEu2ORoIzBj+FDiZM/qxPDh2hJjKy6SdQrLls+7SMo+AstaMLG9KG3JDxBviOgqvTI9vulmwqazSvJ0Jg38bMyZds7xUMOu6PEN5REmhMdy+gvvuoewjSptLk9egNIa5PDgXRKyhDIntQ7v6osUDmeoCPC01E74CsIs+TA01OaWYQ8rpsgYJzJDVFBnjRM9hO5bWzGC5zKVdxD/0ZsCc/kRurrlErkSZzMo6mizXY6K8b8TI7Lo29zSdZrRJMgAYZTRRABDbRJCc+0QcXzFPB0RoFTzm+8M5TaJR9EOkBMpAo6qKgxSxssyoIYTg1EzfJwS6EIQMGbkRmhz9fSRI+EvL0slAY8y6rMFZYwSDfDtafrQeyJmKRDuPZcTY1rxatZTZuoMylUqOgQHP+UwQv8q0XJS+hUqJs0v/eASuZEkcRDzujcCtD7Eql8CBh0mWYDhF8rrYZwSWTcOBdcStxsytwUoOVs0XUyibVgTIo0uNr0PgH0kCyYOU2SvvW70qJUye64Ui4kSK3bKyMdv36UrDyLy9SUpVpbqv+P0DQ2zSuKO0IHBYB8ejR1FA169EdW0Ua75EKZSLwseEiJbIMF1LTnhM6rFMktSkw6G8ytvMOec8fbc7DDExawCz4zZdR3zIs/C5wpVb8A8yPjM1Fl3NGTcBxvwY3lGcgbIDoGRVImwlMI2TtAjUiJ7MU2BIRTOIVkWIdk0AUdJc8rbZV0FBrQMEGclMQI/CyylCR1qtEmyhR43ECZjAgSOIV/uFZsxdZk+FUf/bfMaJlqFA1jpU5PiUmpbBv6+z/UA6XdJE+fVCkjSIZsnVds1YWq3DvL6EoqnA6R6MVDlc211LlQYUv4o70rPFhYwiVmirKDvcztsUeETYqc3NP/d5WfLFgHes3Yf0iGTvXI2EDD7FQeoXhRjgu9ZVWQ82SpL6o40eJBc1xIyQzGx3K6sFuRorDQIf01KHSLG5BXjc3YZBDVnBBBkClJ0JiWmmQYztgz/XFWV+0IKzW/Ip0IDfDZn83YU8jZeeNPHNXOtLyIVn1aDFSinXTG3bROADCCq/3ZdRBUOlxVgfBLHB28GSlGujBXXtu1T6W2AKVZWAXHt1w6k9rZMlXaBjVDPLFQAq3Uj9CFtf3ZrJU55iHaCjydOtVF5QND/ztFzm1OLDOmldUeJyskmvocuTzQNwTScxuLG8DYxwVayUUJcC1aTgSNHCy1+pxNsW3Z3a1P/2DNP7QFgCx4XY29hl8rt4HYRLMbvAGkz60AU5brXSelTMM7C0Jd1fIRVVK0CLUlXnpNhk3LCZ6YRj1cREoI3qcoOChrUP3Er/F6s9EFQTftK0XFVPiUGXIEQmWTjn3ShVOwFAQNPQWFiOH13nnVhdrwy8DTPZFRymiRKCkxwNuhq/WtpR9sKH9cyRNKWkclIxLgA13tJxH21Yn0tSBYPDBZ1IHoXgOuV4bomMcJ2ZLaNJx4uzjFEKaVXh7lnxc1n5PdCBjs1REe4ksJ36zLiAJu4WtFYK0zzRh0LEejhFythVOwwEbDW8/VYf9xj+mMPBs2jUAbYjHWBRq7TtdVYv9KeAgYHkrqKOI26F8xljY929w+LBi2jN+HlVmEmV8Lvq12goz0U0JSMp6DkJUxFuIhNkLGPQhrVeJ1wFCD2EQ1UUdLSbwxHmGwnJeIQl6VRVdIjVk0tbPaGkPZc7CAhE6AO0lSyYJLFmFE9l82G12waF0lLrEGIZuhhBkjqAUxfmV+ooTqU4tENdyIZVyvgyCnHaS5sr9TVkJPla2TCOMy6ydfHuEyhrWCaAPi9SiP6r0z1McRaQO8aOVp7ic5PgsWvbFkFg4VJNKzdN67ITNyHuOuyhGrzdh1+GWPyYICFdB9HY23g2NdqGYxvkYdFInEZNm7GrCDkyrthcQ8ExT/QJjnIRZieK4IEnBceh0p8xXn5XA0SbEVcRYIKqDoIa7nKAnbHcYwlMLDMgK1uKzgmjrmMXrfyRLQAR3LjViAMCboEX7lWig8h0U2nsrWawjZ0CgaPgrfGu6Oib5kn9YFKtAPvFXhahM1OctCCr3hRlq7QOKlWQzWgR2sRxjhaRDhs75k5Po9prNRSpBXlGPgNl5knRBoqB7iV5Mp3dXiXuGOvCtUFpzWnwCEqG7loIYJwIthZvNEiriBiiZnIT7fx0hnuVTX6LXsQE7AdvVSy5Fmkxbhi6YLrl1F3OjnNS2ng3Dszx7i22UK6FXT8aNULGuyrL67hDZdEBy2zfQ1/9weiLI26bTuJ0ju4A8CWSdGFryc1RJmiSAoZ7Mm56/VXMT0Y4iVNQUKpwm1zPwyZglLvxS11XQzEzJ75eBu5VEIoI+GHKP9EGgcs/L1aEoEbjHuPbaOiiNdOZCjpCNyje/+0TrUCA3g5dXmp+qqbyX9Z078jO6kxKBkkt2wDAEfcF14BLhQab62vJj4tlplPBi91+3diDZo5fLmp2k4b8417gRXw+7AxygNkZiBAM/+7GSY6skOwxSeM97lufr7GZ57IbipMpvKNSp46oHuJx0d2pz219Y0Gg14hBFv5VPoTjx2lBsNUZJUk5G5Ucu1cu6EgOZGa5Me7obM4ZnOT//x4OM+znE/pqPQfFBCktMYd2V/ertXdMMm3S8AqO9qHeInn4ZaoHEzH0yQBTqSa5ORZOPNQy4+GOMn14Wz5oOdBQALT0hsvvCCuAG7HuOUG84O92/TXgkNGAVHN2yD5pDpAM6QaZMqP+7BgQAZWO1aqAXl3OsLX+dq0YA4P+RaWMCcRdCKtQi14gNRH+NdZ4zcs1z1PpYXD8C5/Zi3o4IIn2dAV4itA0fBNUbAte7gE+Xc5suqIOyfhnKceE3//vC2xhgqGAVejvVReAQ0UGHu1onkIfRiwRFZWe9acawbiPbn1oXDDiEWjWgeR1h0gS/sltSkWk8iUu0if2wilnT/Lp3DL77qaNEAGXi7+jZwkKwQLa/A9UYuNGT16ujOfb/kWuAD5RxzOq6ZZJPgQ7OndK30yHyLXD/kfqrn6/V1yOsjjReIns/gdvpQ08lRABEIGPb4484CttaAIFB3ER4FNMDc9CXzZ43KighwCeenBc9sIpXW/0acNR7BpCaJRFTEzQOZBfd5L6cCKgiCz4FeW6f0ltNgpdoMhh9wjsUYwE7dqY1tbM8KrtU8ouk9Fsf3Dyl1nyerHP5xKNGsWfJDXprQyYTtYgtJ4WX0eZZjxd1THJH8xEcIjf/bJ9OJsM+8ACEIwFlgo017huj5zhzmiuEZv7eobus6hb4KNABz/z6nZhG2ZT3VbEGusqJwfalr1I9AHhnu003Vw3z3vYRw/Ya57xaNe43IgsJuZQrfyCRfv9DGtBtocEuZSIRgt9/cPLtNp0UjGZi9ff36+4Uo6awnKc1057edOcGmXgwfkOPgi21JdvMFCECUABkBYPAgwoQKFyaEQOIhCQ0NGQKAoNDiQYwGMWrUWHGhx44ZQSL0OJLix5QqSzI0uZFky4ssX6JU6dIgiVq6dvLs6dMnlZJGhhItWvSGUSMSa9Js6nHBQagyTzalKNIp06xZBnIV6LXrQECAli6UCnMiQg0Pb0REeXNlVqZv41KVW5duVbRu71ad29duxVM/B/Octv/zFNmKSJMyTrrU5E2/U/H+pQw3ptOtXzeDBUSCqlmDZkPz3cj2YWLLqlezztv6NezYC9sMNkx4JxqFJIYu7k10MW8jNyTLLm4cpQbNYb1u9nz8IsS2z6dTj0s86/XqlzcCsn3bZy2XEHw3TvrZeGTt1MeLFRi2a5bz2tWu5Vg6PdaZNs+GrPvWvn6YCaiXa9hZ599ZDEFFgmC3ebdTUAvtxhhwwBkhX4BzaUTaXlRJ1l9lJ4EoFwlttEfJQG0oVdN/CYZ0mnQDBigjizR2eGCB26UE2WT7FcijVQTqZ5IMtTx4Gx//TVjeUSPe+GSOAl6XHZQZaaABb1fq1WKPVkX/l5p6YYo5JpkIyTDKd7rUYsSG0P121G/DlTknnfOtFWOYVNa5J58MaYAGmrZ594gM2Kn15lEY2hhkn6vpyadDEKXGJYGU0oTfljOGOGWXgNUoZKefUgZBEHw8woepaMigJwQa3IBUb3h66iSCk9HKH6NXGagjXZYOOdJ4kuaIKaO9hlrlruLNimtemI74LLO8AsBhpiC1CgG2PT6Kl68hFrurptr+mmC4CdFHgpyLjhruo9l1C65f2zaqGrXoVcuXvDiW9q20+8Km7EUwgsnvseoRl++8CVuGsML2QipbpKgVTO56DRvsqLoK1dsaw9W9u/CY+T5KH1sDg0sxyrfe/0iss/uq7KSu48JFrMySjSazvjG7jLOP5eY3Y7yebscywVJW9GWU/q5cdKcd9zvx005zSi/HKC/arrH+Apx11FZnKOpC58pqcWxOk51xn2afvbZ2waIbNLdsyw111WDPbffDc0+JNNQvG11prff+TKnOHmIG99/IivstzDl//fOOO3tLsIZ0r7T1VFPze66chf8oNNpMr8u16IH7zHPSUW58+eNPp82u1YSDnjqQQv4n8N2565767r37ziLfoz6URRbCkXDw78kr3/byFpM8tqbjmchVWG3cYPKx0LJuOPdDd98zkI1nDyr5km/vOu/gB64rgDIiDviwYLcMOc01Rv8sK34ltscc9dazHzprkOcw0pmvdedTGpRkl74BAi1+cbPV7EDmoruIDXsK0YBYOvOe9rCpeR78oPLUJje3pUsuWeBMc1AkFkWB8DgibKG+YLi7+0mEOCfsDP/41wYWji6GLgQgAiWYpwcWB2EvvBgRw1RBCAKABCjc4Fe4koXaXUaBn+ue9niFOZUNyHM+i9kWF3fFaHlRfWPEmuSyCCoqirF2HwtWybJiBA26p45Q5GHskvic+i0tiOUqo9cmWDB5GXFZ6Ssk3ryHMW0FjyIYZA4kl9MVrxREhpak0xEvqZpM+qmRDLnBE0P5lQ4ukIHl+5cmFcbJVLoQIunS2Q3/6ChL+DCRfDrjI80AGSpW3QVzibOULhXXyxiWMZjfM2PPFBmtX6JOJm6D3kicKEsUjtJdgTyl1I55OshFMJndFCQ3r+kaLm4TmZYjIALR2EeDLLEmsTwRPDOYQkBkgZWLtKcw8dnCSMWxJk6sI0BVKM+v1JNtq9TdQeeV0LUt9JmTugg8N0i9DHalhOLrkOfex01r2siKVhRc67io0WWSU2lsTCQywZhHrgETO3zT0FYkmsI79q2c9ymltIo5SD2KE5XNFKkh+TU/HR3xXSrNp4gagjumgHKaORRIQfV5zjotVKpWvaArs3PDSA50gxZsFC9fh9Kr2tSUmqRhLSHQ/4ZpqlCFNwgquW4V1tdUDn7eXOkZ1+fHS6FUl+o82TAHh6/BUsyLfmXnnb6alrWKMixvbabp+jVUZV50rugLpw99etfIui6YhuXsZQEbvWaJFqQOxYsGpifPzpSQrGU1q2tfG9sAvtQ6N1AtWLLw2NnytrexbafwjEC84j2kqiM8m+ZsGbLefQyImrUtusb2P7pl8Y2jnRx2iSpaN940qX8krC/HOE7CGpB+4AzpF9PaTY92tCGeBGvo6lrObgH1nkh1bpVOKsTLCnCTsm1g+agkX6wKy7dSNa6BD/xeiOE3wfAtk9oQfGDFRPehpBVvXAuoTQfa9b+f5WuU2ofNvf+aF1l+451Ou3s+z563h8cMb13aScgW9zWCzTUfi/ebsf4K+KdlO6V4s6lixm04tDAuyYIdjEQIK7nJo1rqN51MYimH1sAS5ic0MRzEoyoXduPjsIu7WKvKRlmwPL0K4kTcNKFp76QfLa1dBQgZKJdSvpb1Iy7XWzMxD1HFlv1wZoXJxwCu0W45HnHSMAJcKjM6lRL+YciS3FP/2tfKDMXkcx0MxyyrucOJg5eha7k9/ZbOzCtOGZDNqcxinbjEpabsfD890p0KU8bpDCqPw5zdum2214ReM0jlB2dU87TKcPXwdbWMWfHQGakMo2+qdSzbDwH5yEX8caABuy1SG3v/2EV7oUUi1lrePvqDyd1nmRu8p0UzuWJjnfIesT3Vbmf7v+p+brmj7Zba0i6wqv5ysv2dxOluyrlE2yWyyevrIYd3a9ym9asJjvAO35It/eTztZVt7USXN+MO97Kyo13Sv/ZX4Bp29XeLTTlvh03SjXZtvmMb84U1++UsV2gI0b08cT/c1RL/NqiXiWuhyzufN8biean9bjBPuaQAN+NI2fuS064a3F0G8LvV+OuUdrznwab3Abv05pmhs+CiOjelAyy8AttcyTOHLZneDht2S7u3ck932yftbjHxvKZkHLJ21btr0BUuoWykldJZneqSD7qKKsd7x/+N2apTMLFE85ZhyeNN7Dl17OjZTnzZC41cmksKW6Y/PepTr/rVs771rn897FOvgdjTHvWzd/3ta6973O++96zPve+Db3rgD1/4xj9+8ZEvtuhaPLp3cv5pos986FN/+s2/PvWxb/3pV1/7MGr+ncAvffFnP/zO3z73x59+86sf++pH//PbH3/0k5/866c//N0/f+9zf/773/73rZ/+1Z8A/h8BBuD58Z/+JSADIqD0VV8BQiACSqArPR8Ddl8F9t8EPqADll8DXiCMeCAG+t8HiqD9vZ/93V8AcmB0hOD7aWB0jCAF4t//WSD4zSAIliAKZmAHmiAOwkhAAAA7
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
R0lGODlhhQEdAfcAMf//////////////9///7///5///3v//1v//zv//vf//pf//jP//e///c///a///Wv//Sv//Of//If//AP/39//37//35//33v/v7//v5//v3v/v1v/vzv/vvf/n5//npf/e3v/e1v/ezv/ejP/W1v/Wvf/We//Wc//Wa//Ozv/Oa//OWv/Gpf/GSv+9vf+9Of+1jP+1If+te/+tAP+tAP+lpf+le/+lc/+ca/+UWv+MjP+ESv97e/97Of9zc/9ra/9rIf9aWv9SAP9KSv85Of8hIf8AAPf37/f35/f33vf3xvf3rff3nPf3jPfv7/fv5/fv3vfn5/fn3vfnxvfe3vferffWxvfWnPfWjPfGxvfGrfe1nPe1jPetrfecnPeMjO/v7+/v5+/vzu/vve/vjO/vhO/ve+/vc+/va+/vWu/n5+/nzu/e5+/ezu/eve/Ozu/Ove/OjO/OhO/Oe+/Gc+/Ga++9ve+9Wu+tjO+lhO+le++cc++ca++Ua++MjO+MWu+EhO97e+9zc+9ra+9aWufn1ufnpefnpefnUufnOefnOefe1ufW1ufOpee9pee1pee1UuetOeelpeelpeeEUudzOedSUuc5Oec5Od7e3t7ext7enN7elN7eGN7eGN7Wxt7Oxt7OnN7Gxt7GnN7GlN61nN6tlN6cnN6cGN6cGN6UlN5aGN4YGN4YGNbWtdbWhNbWc9bOtdbGtda9tda9hNa1tda1c9alhNachNaUc9aEhNZzc87Ozs7Orc7Opc7Oa87OWs7Grc69pc61rc61pc6trc6ta86lpc6lWs6lWs6Ma857Ws5ra85aWs5aWsbGnMa1nMalnMacnMaUnL29vb29jL29jL29Ob2tjL2cjL2UOb2MjL1rOb05Ob05ObW1hLW1hLWlhLWUhLWEhK2tra2tra2tc62tc62cc62Ec61zc5ycnJycY5yMY5yMY5xzY5xaY4yMjIyMjHNzc3Nzc2NjY1JSUkJCQkJCQjExMSEhIRAQEBAQEAAAAAAAAAAAACwAAAAAhQEdAQAI/wABCBxIsKDBgwgTKlzIsKHDhxAZZlo3b12miBgj8qIYbx2vjCAxTqx4MaTJkyhTqlzJsqVLMCUH1vtHk2Y9lxnj7avJsx4YnA9hFpzZE6jRo0iTKl2qEMw8guto2psXz54+e0wPgsn37ypVqvbu7dsXM6tAp1Clgr1qtq3bt3Cz3iOoT99PgvXKmp1nTy9Bcvnuup07sK5ggXnjKl7MuLFDqgP/+QXw9C3WhRvhQhYo+WBlx6BDi24LZt86gfu0xtPc8DNp06hVj55Nu3bLqD7jfSx4b7dbe4c9+3aLG4xug71tK1/O/DHNfPouwlyn7yZcav/qkRueaWO+y3HnPf+PDmB69ebo06uPyrOm9bjrdrZ335j9fPDq8+ufbZxrV3vUNAbGOvbIt88980wGV3807WPPcPtFKOGEFFa40IDzkBOchRyKRo5tH9YWIlwz7RMgL+2N2OGKjuE3mouiwZgVUTRhl91FmdwTIIs8IiXffO3F9SOQNQlJZJBw6ZMPjvf846KMPUaZUjxH8hRelUVqhiVNcf1zmIkFzQOhlGSatNVCUDKVD5qKralQmkqlBpVe9axW5p0nnaaQim7xaZCfZgH6V1zx2HnWYZn84xqejEK0YWiPghapY9olNNOOjWaq6aYMUaMgL4ZyKuqopJZq6qmopqrqqqy26uqrsMb/KuustNZq66245qrrrrz26uuvwAYr7LDEFmvsscgmq+yyzDbr7LPQRivttNRWa+212Gar7bbcduvtt+CGK+645JZr7rnopqvuuuwyRIBt79YWb7uksqFOMbSBcW++6AiTrzm90IuUvu/Ag69o+rajjr8Io9NOv6OBYQ475jwjMFAYqAOPOu8wc7BjYKTzjjIKMwwyOuik87DJApozsTnobHJxS2Aw0/HG83gMsjrtiJxOOguf3DM7KUPcGAETI8MOxQDPrJK+Gr+jjjrMwPPONozpC7TCXKuTDWOFoJwO0WM/jE3WEy/tssvsQOP0STW/I/XGGnOsc1wJp7OMOujw/+y323FhgA47Y6eDcsqEB4z3y4wzzY7ib2NUs8Z01x21wQvy7HPP76jsN8tmgTF44SgTzs7D7YCeVSFrN572xJBH7hAYclded8G3f5xVxl0r7HnnnQdNmsOGHz604Q8bbRbSRCvNtutNy94Q1LZvjPvUU2O++zvtKNP5z3533vPP7+iulOiII5486mKzo/rALzPtuvyPS3+hzRvTnX/22N9s/lFak9vPVLY1n/2Mc+8DiuiONzqHPQx5o2PHLJgiMYpZMH7Pa1zs7EcQDMwNe7fLHjNyFjV1TIpmWxufz773va2pIx0nZEnY0tfA5I0NccUrxFIquLYLOu55gzPHvP84OBB9wWOE2LPe/vg3NTbskGe+85zKgje+dkgtHQZYiuDa8cD09cxh7SteDFeCtAz2EIMZHKPTCMaMejCjalILYQk35sTzicx7B3yhFQsosu+pMSULFFvpVIayLpoOHTo8X9rQEb8Ltk5t5kgkEQeCAfxNbR78018Sp/ZHlGhtj+BTmB4HqEd1DBGAEbzh+gxHtEPCcIfQ+6EjX9ZJgRmRf8zg2ByTKLVamsmF4wMeAVnoOV+GRHSEKxoYCZnMZD5MA0thHSMn9gvGWZNt7PiFMfWzTR7FzXKWO2I4pcaMOiblky80YNfy6LtTGkVwPyMaGJc5uKIls5sYYZ7jguj/SB+aA58v0UlB4qGPf+zjPQAgaFcWZRBq2MMeGjqfQAkyjzrdQ08CIcdU7IHQgvDiK1U5ib1wF8f8HRGTmTThE61IMs15zne++54kkYIB05GNbA9MZtlQNlMAsg0ZGFwaUGUpRABOlCHr8A9eTrMVJwnkHveoyk4IY5Ct2IUpSeXSQPLxnoMKJD53qYebDDIkQc2OY/u73txyqcuNARQivPMeMZfBPZdy7ZXnK2TxDukweeYUi7BUG1H7+TJ3siSr/5geZxIrEGqMCAxcIsdnEvUPTA0kE/vQR1buotWE/sM3UaFGad6TKIauI1Rmolr1UrpJlSoFA1xr4ffmEUVR/yoMmnkl5CCdWTT2ITKw2WRHNSAJvcICcLEQ6axeugKAjs6EoWPZJi/M2pDOcoUgKLroP1RUF4Pow7LHtNkHN6lW66nDnAObWhQNODLNccxzhsUJMk1HusIls5Apw21SmDcxRg4Wmy6Lr0s6W13GGgRFAQoOlTAqEPF09CHk6AqDk2tgAgPAoE0qiz0++5eaJAckIwVn/sZbNzruUGQ901yKV0y+lgqYZqMz3A37OmMHOiyLimQHNgj7ujP+kykWXkiQy5OPMQlkw8GhSTz80xeI8GLD+4iHLztLk7LQpKCHEQ+DqTGPJik5I7es3BIr98G3BmVqA+yd+NIpTDM7ZP+LNSakDen52xxbU7BnhCSOlzLkhFh4QAWt7EGiXJAI/8NO7FFQQjIhnhs9pLNNCpWVCEIlhpan0dTVit3EbDcR183N0yvlil0qtZSJD6/nbOBuizY2nBKtp0bhL/0yOOsfZ6XPCPlzJjRKEwWPdSBUQuhM4KQQnTjJyAbpLIq2Wx4qBTpMh05IhH/NkLjBg4TzUGK2p0ZS156TfGl+IRXJxzlUD4x4vEWcK8lW53O+bKhoJGpRzYLrg+B6JgzOhGYNIh7XJEpOf6pSSQyt6MgYGADU8LJ267GTgf5jwgW5rkNGKuZcVo6tlUPvUQohbgLy0W/jey+oGRK2eOJ3p8X/sy869As/f955fi82Sr2TffCCJCpUVC20ogrS54/GA6QgBYNxplpgS322SYfZMLIbXPOEZCyOUot6iTdp4teqbBkwDZ8UX5qOmK9EcK1kpdj7WrqiwRoozDOGy2d5Qa8DZeY8bzpBHj6QeygoUS4yqOTmsZPEFP0giZoLlSzbpIUseXo3m7rGLE61EGrcKCHjWNbZm0e/jfxCqWwgb5GnskgGtsfy/qHb3y53P5ceALzYx13sThBPEQQ6BEnUgxWSCShbWiF97i4AEsXgnSskH5kuT1tBCA8lXnJjubx8U1Cczth6T4VrHr0niZcycxTvi8mbJzrEsBR9PvJ1s6aY//RxAve5G5gXfgfAPUL0UKCvCcu7Z/ZXO9OQ2ncFtQ4J8laWJJOxkkNOBZUJmZAPhkIg1VY14ORp3PZG8/B4CmRABPRCPMM9V7NHI6N8CYE+N3RIXDRPpNMOLHcUBDBL8ZZn8wYX5QcA6+BlAOJZ2cEXu7Fh83EaO7EbqRcg1EAeDpFUwXcQK2gTIcJo+gBxU4F6VwUAO9EdV8YXt0cQBEM1Uac/ccQ/UoMBWsQzeMQ1vuM34NYzGIgQW9RFo7M+ZfdAe9ZyJvhDaDR+LvGD2dGDB0ENhbJ0HqUiYCBZcAgUu7Z0H7UOgjFdApEJhRJRDbENGoNSJjVe++OARhENoP/kMyDHNwbkbUpRDcr0V9RHX+2mFNDQX8/jOMH1PGc4SQRhiIxHfFR4Xm0hDXlEecBkbkuBDV4ERjZENO2ADGeHFM+Qho/ENGz4NsUwTmT2aW8hDCLTN+W2Qj+Ti0kBDcvEPmL3MF/YELuohj7GDtNoLoZoOTYzdYy4FNHAfB7ncdnYEJZYi2PIU3FRDfOTNuJHig0xC5p0iMm3GMIwbi6UDszIFNAAQYKkjorRC/DmY7/IQdLAaSNkhYwRDZ1DMnXVdY1BC0NDY5sYF8/gQ74Ij0ERjCGkkI1RDOwgNb6zj23RiaRTkYqxCbRWkKQoDR/0jXARjn4kGrJ4Q9wXGhf/aVwaiRHbCJNx4Yiw6Bg7tnKz0QvvuJMZUQw+qRjFUI4oAQ0hGBq9MIpIWZVWeZVYmZVauZVc2ZVe+ZVgGZZiOZZkWZZmeZZomZZquZZs2ZZu+ZZwGZdyOZd0WZd2eZd4yRIeORt7ORosyRR/uZNs0Ay6QBuFsAy3YJjIQAuGCQyvYJaL0AzdQJijoQHLcJmJKRoYgAzasJijYQDAcA2OSZaLwAzdsAyTeQqhsQiXuQzcsAymEBqFwJm0GQqy+QuiKZoyE5YYIJmSaZqU2RiH6ZqtiZiOsZnIQJucaZuNAZq5CQyhuZteGZmT2Q2mCZy7ADaX+ZqvSZy5EJgqMZuc/9mZxtCZyGAMjEEAogkMyACd6wkL4DkzvVmd12md3dANqhkXlkmc29mf0aAYGqCc6KAN2lCencmYcVEI7vmcoSmaj7mV1Pmb9imZk9kMuAAXw9md3PAO/PmamekW4smZynANyamc2sCcbmEAuBmauLmizymdVzmfEgqcFVqh+WkW+9md26kNHaoMH7o745mc16AMBEqbBXqiIBqaLHoNLSqa7ambWBmhFUqjzSChklmYWcGaHbqlOmqcq5OcR9qZ5nmkyhkHZqGiDKqk12AO66mkD4qUMlql9FmdcgqczXCjSZGhl/kO2qChdNWfr1kKTLGZY2oMRjqgBQqmnSmo0f8EnWoKDOzwqNewnlC6k1JqpXSKqc2wCNHUn8Tpp59anCS5ErMppmNqpMmJDsqJDFQJFAraoEuqpO7pqOvZqvYTp5o6ob5ZpZyqFDlanNxJV37KDdygDKOqEsjJmYaqDarKrGIapJ15rCnhnI46q7nZpuuJi5bqm3NKo3ZKp0sZnp4arKHap8rQnb2ap6hqotoQCcp6qk45EIXgoqLJDkw6qbKqpPZqq9KDq/BQo1UqmfAgsFVacDLkqf35DsXapd0prSgRoGDKrsYwoBFrnvEqEM6Jm+Ygq5SKm5GqpBebLRHKrXJKsr5JCN0QrimRoX3KodyQDq/Zp4B6mQ4LN0b/ap6c2aynSps1axLzyqCUWq8cK5r8yi0qqxAyWqEkW50DS6ch+6vMwKPcILVdyp89GxIB+qzJyQ5aK6blmZwhm7GUCqv5mpu/cLVt8XM/lyENVg9dBnGoB3Q/Z7BPQyUDVVD7MA+CMQ8FpQ9NmFEPRYggcalzuqslO5khq6etCarBuqHLgLYZQQA7+6ymaqhGmrgu6p5NKqkgaxQK5beAF20LYR/MBQBcNRBeVRCBhiQAhFh4sRpNdRn3YA9V8RwIsX90yxBJywyHK7AAW7BL8auhSqz8CaiQixHiaZ6quq6Kqqzx6RDUmq1quqLWqk1GAVVS9Q85JxBc8bcCcYTA/8Zh82dZHzVQ23sUneVYlxVZnwFZgmZzmZUSUmqaA8ut3yqnR3sSesq457qn/Jm4Bqo0FTumzVqexnC8EaGe0Pmxz5mm9Xq2RiFZ6/u+DVYX+FdowKG6B5dd2OVdeQiIIaFcPKdZzuV7RQR/J7G79lmj9VmyiYuwrqkOoOqa3XmTSQGxlBuxynkNXovAEPGqDbyxHAups4oAR1HCn5F6OeK9gQa6yDV3ABe6nRRhQwgSfZYoCeZwE+ZgKDG/E8q09mmaiNupn+qy/Vu8OurDD5G8JTqm7GCkQ0qbYYubDbygmpubkVq0gKTFqBsgBGh4VnFlP1Fl5lds1MYQT2ZQUv8WEUO2FciGZHG3ZFKRuwWhwlRqnbuKyZT8sAg7rK2psDKrxg6RtetKoM+qs2DbqLS6uc/JwKGpxzgByQBAu9x7wXHYt+onuk+MEFUsEo2WfgzxZ/FRI4OGWoaGaIT8EF7srStMpZusv54KszMbqs1grDtkpAbctc2bnKLcED/boNSLr0ALnc+LEYQGAOTwHggCEVxBDTbyIcZRuqH7zAZhbA/yd0WUCQ7VawN1yMGGF071Zlbau2Fsv/SMtTM7tcOrDTJMnAcNEiHamc3KvGGKDGG7oL+wpEwamhvbwN0cEYdHZK9nywiBHU/BCwqHGwlBUAthaEQycMmMe6eHb7H/t2/Q5m961xCX2rsla7/pihT727/MQK6Aas1KQQCoSrkTjaoHrMpt2p5DLKnlHBH6NhAZXHfem2z4NxNL98cK4XNySxVCZ2zna2+nV1oEcQ+PEmGLUn5J29N0isn0+dAZIbwzq7DCup3K8NMbh81kqrVv/KwfvRDOWcfiPKuyGrLIMRA2AiTghXvgFXgZKL5gxneOhs/2NiKsF7p5F8UIQZ33S6HN8K9yWqH567PTvLD9KbMNe81e+9cmiqohCwZKuqKRKrS4TcSDDRGbvXtqSxVNgiCUTA42XRjgW8/FDRH2l7e1hGupt3qH4Xp3AXvrO3sdZL9f3NOGS9cYYdee/wysNBtNbTzeOYzNFz3Ojzq0wDDVEdHbCDcc4kHSlPFhW1EWuFsYXvJ6WW0Q9qcP8m16A4F+MbF+RzYV8/AV75ffkDUiUVFwywywXwyc3B0Rituyobqljxu8h1qxq4rNu50QCuqkiG3YsgrLQNF+v01tlfYmNtFlMSGEE1aDRUTZD8GDGeGGLUglL3jPswwkNCi+N2iEBffWE0radTrXWjTNNCysPLrkGX7Uk7u1Em2eb4wM6GDER/2ot02292rbJh7LPg5t/00OhWJZe3gQICwQoMIYcngcDZHm5SFZcGsQurCrNFqj9VuhE44RufCaHMqli/vnH64QtBDbiBqx1//QDpEQrYD5DGV7x8DAprP65ZFT55kM17u65xlxC+Oq11s66AthC1bemTyszQTa1FlBAK8AqUGb3pNqDpQuO9IQ15eu529xC92J18NarKDOENDgrtpApF/7tcra6wuxCUG7ubUd69Jj6U3L05puEpxOvHvapTbsFtWQwxRrsXFBBvhatutp7OYy6/d55MCrGNGgoTJLnOLeEKGgw1rb7gzRC+P8sfJeLtJguLbOGJwO3k++GLZAprS5fY2B7NYamopdLrrAu+XeDNG+ErjusuHtGKGwsxwAGtVAxErK3k6jCzWa8A4x7RMPGoUu0dfeGLAgqw/f7AML8g5BANkw8qH/UQ2cGZWNkdHX4PLoogt8DRoEQAs6/xDPwPEtsQlBn5dIn/RKv/RM3/RO//RQH/VSP/VUX/VWf/VYn/Vav/Vc3/Ve//VgH/ZiP/ZkX/bp0peiQfQtofYswfZvAwKXEAiGWQl7QBsaEAm2QBsGkAhmAJmXUATdwAOjUQiVsAqDgJ6iYQCRsPhz8JmJ0AmJQAak+ffdUASX4AerWQmavwpAgAeyGQmogAqgb6agsfedAAyQL/lhCfeXUPnd8PdYyhgasPmazw107xiKL/qLP/q4//hpAPmPr/peiQGV//eXcPyVPwho3xaLQPuVYPtAUAl/ADa7r/vtGgl34PYPsfeJ//D4iYD63Z8G00kElH/8xl/5mJ+gPbAKml8J0Q8E3BD9uQCgoL/79V//eR8Xe38N3t//nQAQncgAIFjQ4EGECRUuZNjQ4UOIESVOpFjx4KJLRVhdutStSJGORTwGsljS4KIe3CpVWgVk2aplQLgBqYTH5E0NkXRq04mqZySfcW6aNJCok9FEwI4iTZRo4FCoUaVOpVq1IAiOHrtlvcRKZMdLfqw6LLSS0KqVM1mqbIZWz9iGOVH51FmXbk+hcBcWvca0KdKjR5/qJVzY8OGFGEWKJKL149YijYvwQExQw0ogaF3KZFkpM+a3lQsBrUtaG927qPIiLppIwl/ATZWmMf9qpvJt3LlvYuW4keNiyGAX60Jcdm2PStw0o1WJWaXNwwbslqbLEygyvKwTXVvKNPDS7oN1jydfnqBij8LTa83osUgzEIcXrUSblibLmPbVLjo82qdPnlDJ4T/qSDMgOr8Ca2opYLxL5EDzIpTwMN7au4SIxTLiaMOv3uiPvpU8g2mVVQZZhZseaGpGJg2im+6n1CKxzicwEOykBQY7SaOTTpSC7ShgEJhwSCKrwsq9rSxkzz2w+DPsMhNDhEkmmuo78bMWDfNPxhd/Io00Amz8cUEdu2MKwiLTVLMixcD6DUklP7qEjQ8/G7EzzkJMziUxDsvJyy8BfGFGnWo0jK//BRMFj8y/ClnzUUgdQk/D9kBaT7KOnCxsPior2UGttTybaSaZOOiPNNSmi1GnLAsrSsEFd/yrzETRjHQsMAytTNfceFvSN+B++woDP1dqa88RgYhSv0FMfbLLnqzz0idHD91u1u0iOKovWoG09daCMrnnn3/yoSbcccs9dyEw5rknHl4MoyaeeeithyBe3q3HnkwSqvdfetcxCT2QMGXvwpC6IUJTwjgFlTPOWkpJs0qcLexPn3JQtS5kUg3T2qUk6CtRpHxc6luqwIhnn4Pi0eeffe61KN8aySG3X5oBWOdmhXaOp7J9yCWXHABsNnTnfg2iRmim5ympwq9Aymix/6iH9dPEUe3rTCWVXCqxz0MDjRbVL0kj1lpuxwyMNjOrHWudfMg1qB6BwYjbHotkJsief37WGwC+f0aonn+IRmwdwQ3a5x7F8zmI34P+ibeiI+XccD2uLIxPy62BSOm+K0PsFOzCtuSy7NLI5lWvV2FTVFam+kJ5KkPlJogawwEAw3aKeI3nn7oN+l3gg3b+W6J4VodIn3ULstnpgvieHN+DyNHHoja7SQ84kKLW/pLNS0eOypeobK5r5VZiWC+5yibwP+x+Un6sV300qsweFz35MN6TLuif6w3lHoxDyAARsrt/zO8hL7PH9B5iM3LdY3Lz6JtBKEg8hdTjeBCZlP+luMeeDIWPMJdZUXPyhJaWaK0SImQftEwjNp98zFWuy1EiZDWb/fHvHwrJxD+aVxJyELB6QrRgueYRNH1gECLrYOAPGUKNecSNXAL7Hd4K8jvoKURyFKnQRhSWoa+EZEPrg0tZqJSnzyyrM1871ZcCdLrrTEeBVXkVj7D1HUU1ZXZw4Z1B7ObAivCCb/8goiAjiJC45aNfmYjbBh1CjrjpI3cOadcUeQGzIiYOIeRg2USwshiDZSgrITyMGAZhPsx0ZmtRQgvpRugl7BDIfWYTU1IWZDLXGSUNbtPhQcCwjqD50CSZ4MXK/pFFYgLzmJFLYEEQ6D+J5Atm65hj9cr/BYBx3aNGvHjZJB/nSIZgZGpJSk+l3sQRMo5lPiiU0kv2pJIe1GcQvGQd2SIxg43BKBLVnEr9/OKg2AQJN33UXSaoMa598PMhmdhHJw3CUIcShKDjUqLimHZRK2aCb1Z8SNwIckQAzoNv0IycNxvCG5FsZT2PGeUY66TKmZSvM59Tiyv1sqW7WOeNYpMhYVrnIPDQJm2JENJAd5hB4EGFbwlZqkVbtsyErANgUz2XNPdh0oVQ8ICEXMjSJCLOrxChUmFMGEhYCJfL7GkQnpEJc6TknFa9siexnFbqCoWgRDVIQYvSZSd6WhmCPhSqN3FZQgo7ty0W5IIUoUYkscqQ/3g47nGJTci+IoLSlZYzsyBJp1UucyWacK1KnkmOiJYR15vaM587IQ09y0gmXP7TO38F7FG1+NiJvCshulVaUgtCOJI2hImEdCJE8uFNm2kSIVflYG8Uds72hHIIdHqSlAaRvtGWVjPNqEQbXAQoWfokljHgydlmaCZF2Q88wNhjLxXCi4RWhG4Fydl88aXNokG1HgEkSMwioswGQoSRiVsHRwniM+cNFgBLUygAeOObhI0zQ+kJrjrpUx+atDUmJZrSTFBbRi9JK1WAMq9PZ2W/1wEph+PhHS/q4b974LYhSIyHPfSGxHlo8Ir/4Oi+amRjiehjHg2mL7mEbA9NBv8Rcjs2sD2ImJg3dU+M2mPMOEusFwx4hrvv7NSJ8KQS144FA2IDCqF6QiDa0g8wLZBAbLv1l/YaZh3psse5fvePeogUkBJRWTyo6cd4xIMcq0ueQYoZjwpXJROBHrRByEGN+RW6IOvYs0J2ITUQirGl3bgyYfagnPuMKrR6us+H4UKAOcwSKDktjanHQgBY7KhBfV1bd44S5/FAEV7g4jVCdnE5ImzEUhr6Smf1woc9ieqMMZnJisJMmFRHQmNf0tiIiTwV2uTRKHo9U6+9zetAbM8xEQafbvTA5RCJeibXpgot7HmXL7m6MGbwjnrt9+xv55tIPziY9zhLnj10pi3/MolniPBtGFvAiK50YXdV0OCdbDMlzfqm+JB0IG5NGxsxeAARffKj8cOMABUd4xhdDn4YMgB1xRVneZECYSGWdlo3fBg1IUYl79vMITWoeAEycF4ZM5hp5S0n+oR+fbCzkgcXpE3hz3MOKKcjhgApT9Qui351Ir1caiDPTS7eGfXbJNzkRUIDeHCNdbRXZhBb8VCackETsOMm4ZE4uW7AQO9rTDzte7+NDrhOnlvEPTdzqDt5zHB2vide8YtnfOMd/3jIR17yk6d85S1/ecxnXvOb53znPf950Ide9KMnfelNf3rUp171q2d9613/etjHXvazp33tbX973Ode97vn/33vff974Adf+MMnfvGNf3zkJ1/5hJH5kJo/Ib1LKPrLlxAIivCDNYEACDhYEwdioII1IUACDqB+9o1ghOuniQNAEML206SBGMzg+2kygAQmMP7yF8n66C+CESgzJO1rPyEQAhkgEgSIgfiLPxMgkvq7v/tjgPybEBDgP/5LPwnRAPYDAg1kvwK8QPn7QAQEPwkRPweUAPuDwAgsD+vrP/RrwSIYgudDjADUwPajwR2IwcPwPgSUvx2MgRaYvkOxPyE0wfuDACBMwbFIgf77CCZsQf8rj/UTQBqcwg4cD/ibASxEwATEwgUkjwYcwvsTQvJDwtvYPxb8CBfsv//rlf8MrMENrEEh4D7dMIAt1EIQjD8RzI0vDEM+FEMylME0XMIlpMA1rAwMFMAekEIp1MAqrAzvu8M65MEY6MLbIMEhFMISfMA/LAwlHEQ09EQKxL7KmEEhSMREnMIpjMPboENIBME7nIE8jA5MNEFMLEEiHMNNtAozrEAXrMBB1AHEiEL2M0UBLEU3FMBGJAwO4EFmrEM7TEBKLAzxu8Q+pMYTzEUj8cRPDMQ0TAE/acM3pMFTBEcgSDqrYMUEjL8XcMUe/ECLIYxpzEQinMd5vD/Ew8aIUMI0pEBtpEAclIoZDEf2M8YNzEAgEDyT0IBmbMcedMZ/jIoGDMN6tMYwvEf/fHyIXfxEbdxGI3hIqDjEVDxFghRJDTRHOopElJyBdexBhCyJLwTDWZRHCbDIizypQARFQWxBIjBJqhABcgxJOBzHlrSIZWxIdXTFdVzJGBjKirDEarTFiaTJmlyITtzHjfREnpwKkHTDNhxHVMxKqbjC+FPJZiTLlfxApqSIPaRHmSxBqdy7hiuPXNmNjezFnFxCjxwKUkwRRRzHRQTLqIC/HjzLdDRLHszLm1hLWpwAqLTFt5QQcYkgQDqoLPIXeomHeiguRUsXc0EXculMdnGXXXuaurzLbSwCwPxIcjxGrzTI1ByKAxxLhiRLstzC10zMWSTCp6THx3yIqQqY/6mghn2ol5cRJgDgBQqqoJ5hGv6Ci3zpFwjCmXvol535h0RDsJvQR9PkRkG8TZPwSWPkS1SEQ9f0k1YkTJV0yMNwSrbcTXsci6W5KAUbinzQFcKRrBrBooVoTsP4m8ABAP9UzoMgHBmDiIy8S7vkP+8sia2cwkSUQq8UgrScCMFkR3aMxAW1CMXczaiEiyX7n0qbmUnqIdsCAApSLufBr4qQND4TnqTyHd8yCOPRy5u0yyZcwgylnJ8cSM8JygHsAcQ0iUfcQaVcyA98gRgI0pKIR1rUTZh0S70AJOtJmciJKP1MCCkSMopgoBB9CAMqoCfTHXKJy4OoSgTtRxz9xv9FXM0eNUgRiI4trE3ZlMQZ2IH4y1GKYFI+tEWJrMjb0DG46KHKPFGFyLFg0oeGGy4JooggSohGRQgKygeQSiIuKk3uVNDDAM+CJE+DJMhyzEGjREpmBEEl1VD769PFfFIT7E2ToCyrWBkYrcyEoIaX4U+IgCQAqqiFMCSuoq9BCtOXUSQAYCQ8k4gDxUnTxFMK7dRNdVBjbD9llQhWPFILbUj5m1CJYNL2hEkhZFUgiiir2AcnIlSHiBvNfAhp0gcURYhkChpk4gVlktUxdSaeeQjt5EfTPEPUpBA27VS/9JxojQiFtFaURMAdwMIXwNaIiEhVvcRTjQBvLQkggwv/+3JRWVWIpbnYgggm+eQxgohMA2MIiGLXhmKmgxiXdUWIA6VAq8TUJ+nKY0RFVHzTQ4lT9FTKsbzW9aRHtqTGMCyqgSpQk0AcfxHQhjDa4vnNf6kqvmEuiGiqyTqIl3mqlDWICRTE08RaFwxYiNDUUkxFgyRHrn2IokxA9CxMIlVYiGDYPmRMbn3P3PCqsSAHjQWAK3WIwqmIxgIgoW0ZW7Vb/pSeTGoIM8XXS93Xl0VERRxGroRWP9lBhBXV+LPTLFTbh9DWiXRYt41Yk7Asq6CG48EgciUIBZrSiVDUc20I3jpZ5bokJQIuhlhZNGzZjyhVHUVEcWTNRbRch9BB/zotWNlMUll027b1WVrkXJNwWqqAr8uslxhTrMF6HhNdVN0R1v8KmgCDiIqtLwzKGekF0Ob0r4U4Vn3lR5e9GJj9SU913JoNXrT9XZ01DMzNzd1E3pJgsKq4JPnsJHilsfz02EHKs+mcCCFjNzDAMUA94JACVLv12L2xhx8DJ4KQ3avsTj/xUWKE2QftgbF1CLFsx3WU0zu0XbU8VVXlUPuV2DAdD0kjh0Dr0qros0ZzJkYjNF45tEQziCDYzn5swQ5+CBxgXJIMz7+sjBUIXtoM4aREy8pwAIl82w4tD0ojvh0+TV78RBK2CALIgfQl4nH8YYg4YrQ12xG+DQJw4v96bMxuncqq+AGc5EX0A+OICOIexeAB/NTcGIFRLUzKjQE5fggCYAD6TVW4ZWOq2OHDLYIsHoocuGNmbT8OHg8MUIEsLEwsVMk/jogHyM3cTGFDPgge0EisNA8YKMgMBgKaJQ8YMMp05N2SEOSG9eRPPoggMFzENY9Gzt2SlJAVKEsEdOWSIIAHQNVCnmWrcOPZVeQhgQE4ZF8JkYGzjF8JcYAoNma4qGUmzGSTwAEB3AFt1uIjlr8X+GaLGOY1tmbCcGMjIOeSkIFSTGXngwH5Y2eLQGNZRueEwIAfWGQskwF61uIR+GeLYIB7xmeDPmiETmiFXmiGbmiHfmiIjmj/iZ5oiq5oi75ojM5ojQ69X7qHYNqHfIgH6mo9P9tob4OgjkXaNCHT4HyZmFkdjy6PTJgHDKqHoBlOk+4teyAHaGIDamAiCZaQuj0M/RUa5W1g8ojPa0IoJLOH+sxpbBrpDIJhwvgXq6YXgAHX22ikGskEYBLdEsWNRqoxhHIbF4Pqobag8UiXlBYa8gDpwRGc3yGPvCUIm6moeig8iA7qj9VVxFia5r3M5tVqwNJYqTLRsL6NsM5exerbva6HOaJVlo6KtNYZ8riHuqXbuV5raOKF1ZHUnAaDWrWHefiXevBoV80NqqZqwmAoBRLOxK4McWGInfFrjDYm+bQHqQY9HV7IB9u+JJl+sUKNL6jGF8SZB3Jg7c7zbB5SvYAAADs=
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
R0lGODlhkAGHAfcAMf////////////////////////////f39/f39/f39/f39/f39/f37/f37/f37/f37/f37+/v7+/v7+/v7+/v7+/v7+/v7+/v5+/v5+/v5+/v5+/v5+fn5+fn5+fn5+fn5+fn5+fn3ufn3ufn3ufn3ufn3ufn3t7e3t7e3t7e3t7e3t7e3t7e1t7e1t7e1t7e1t7e1tbW1tbW1tbW1tbW1tbW1tbW1tbWztbWztbWztbWztbWzs7Ozs7Ozs7Ozs7Ozs7Ozs7Oxs7Oxs7Oxs7Oxs7OxsbGxsbGxsbGxsbGxsbGxsbGvcbGvcbGvcbGvcbGvcbGvb29vb29vb29vb29vb29vb29tb29tb29tb29tb29tbW1vbW1vbW1vbW1vbW1vbW1vbW1tbW1tbW1tbW1tbW1tbW1rbW1rbW1rbW1rbW1ra2tra2tra2tra2tra2tra2tra2tpa2tpa2tpa2tpa2tpaWlpaWlpaWlpaWlpaWlpaWlpaWlnKWlnKWlnKWlnKWlnJycnJycnJycnJycnJycnJycnJyclJyclJyclJyclJyclJSUlJSUlJSUlJSUlJSUlJSUjJSUjJSUjJSUjJSUjIyMjIyMjIyMjIyMjIyMjIyMhIyMhIyMhIyMhIyMhIyMhISEhISEhISEhISEhISEhISEe4SEe4SEe4SEe4SEe3t7e3t7e3t7e3t7e3t7e3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc2tra2tra2tra2tra2tra2tra2NjY2NjY2NjY2NjY2NjY2NjY1paWlpaWlpaWlpaWlpaWlJSUlJSUlJSUlJSUlJSUkpKSkpKSkpKSkpKSkpKSkpKSkJCQkJCQkJCQkJCQkJCQkJCQjk5OTk5OTk5OTk5OTk5OTExMTExMTExMTExMTExMSkpKSkpKSkpKSkpKSkpKSkpKSEhISEhISEhISEhISEhISEhIRgYGBgYGBgYGBgYGBgYGBgYGBAQEBAQEBAQEBAQEBAQEAgICAgICAgICAgICAgICAgICAAAACwAAAAAkAGHAQAI/wB5COQRZWBBgQcRGhxIcKFChw0fSkyYMKLFggczRsT4kGNDjR8VgvRIUqTJjShHpuy4smXJkDA1ymQ5k6HNmzhz6tzJs6fPn0CDCh1qMIrRo0iTKl3KtKnTp1DXRJE6tWrVNVKpZjWadetVrlO9ig1rdSzWsmjPak1rFuzZr2vfbo0bl61bq1Dz6m1KtK/fv4B/hg1EuLDhw4gTK17MuDFiuasiS55MubLly5gza97MubPnz56pksXatXTY0qZJn04tmseJ17Bjy55Nu7bt27hz696NG2GUQKYsCR9OPDjx48iTK1/OvLklrIGYYZtOvfp06dazY89efTv369+7h/+n7v17+fHo06vXvqproDXv48OfH/89fPn47ROmTz++UR4ABCjggAQWaOCBCCao4IIMNqigQbPdUJuEr1FYYWwWZoghbBpy6OGFH8ZG0BqWrFKicCamWKKKLJ4YmYswpthijDTSOGOLN9p4Yo0qwrhjj0Ci+OOQNB4VEkdIfpTkkkvGhNFvzkUp5ZRUVmklc1IJdIKDXHbp5YEnCPTlmGSWaeaZX4ZZUARokhkBQZaI486cdNZp55145qnnnnz26eefeYpjyUFbtmnomCcs4dqhjDbq6KFqAvgolxFMhY2c7siJqaZzcprpp5t+Cmqno4bqKaenljqqqqiS2mqqppL/mqk47xV0QgS45qrrrrz26uuvwAbr6wkcFTrpsY/uimyAbwrEpoHPLsssQauIY+2s11qrrabaYsttttt2G+634XqL7bnbogvuuuquS2632AzKA3SREFavJYThG0i9gejbb2H68puvYf4WTDDACCf8774ML/zfs9FKO2DEB1IM7YIWM4trmAQldGvGIBMYMgCVrslgxmVmTOxeLLfs8ssw6xWIZCtaYoqMNa9yM84vTmYzzTv/bOLOQ78YNNFC55xzcFShLGDEIzN78dNTS10g1FWTXHEEHHfMJKEfZ2011RM3ZDHWV09MttZrO00yQcZKLPekA8GHIo463vzz3j6q/xjci0MOXXPgNrv4994mDlqQ2IynPXeCuS70XxRhbrmxmkZqiWvKZj/OILGSei56mwjZnbiQhx8uJHGnqy54j4e/vmPshfst5OknBmLUraMju3FRH90a99VvGpnQ5l0Wz4PbvTc7fO/Qc3lT5a5V/lr1YVLo2vbUw6bl9d5bX/344ltvPvfdk48Qm24zz7aD7sd/NcdJvoZ8gxxf/yTvW19u0/MYYxTKGhK9AlKKIQA0IJrWV7GsMY9iUXuf2tYmspWBjX0TbGCAQDexSC2Pa95jyJMwcraxmZCC0UphBiXYNi0dS34KFFmBEBhDR3XOUO5Llq3uBz+RwW1+DvHIQP9gw8MaEuiHGjyh4xSUQyM+TSEnYAD7ckUyYU3xilT0VRU3l0UuerFXW7ziFrvWRNERsYgDImCbioeyrn3vh2WsIRudSEcA1O0+jsmjHvfIR8eYoSD8wU8gBymf+RDykIKUD1n+U7r5JOVIkIzCEiYHyUn+ZpB4FOQQtbQ9TnaSep0MZf48OcpPbtKTpETlUfAlnP0wkkQDY+W/9CVLWi7MlricpS5ructe8vKXvtRlL3V3lJkdLUV6wxsyl+kiZbIomctkpt94hribJVN3a1iFdLaJDW56s5vg3I44yRPOcn7zm90kJmnWSaISYVOZOtJRe35zTvCAE5zPuWR+Arn/z/1gcj8ATeR9oKMf/fSHP1IJxKWYIQxb4Es0zACURCdK0Yr2SVCA7FfRSkQ7eMIzmTHqKOJuZ6O/xS5xKC0RaWxxT26W05zd3KY3sVPPmppTKisqDHTkMlKdmbSj0jSOVLTZ0pgalZu2GIwhDVnIphIUk0zdqSCX6k+DWtWRv6kVUqjCjH/MyavuAKtYv0rWsY41rGRFq1rPyta0gnWtbo0rXNv6D0FRZWZEsp3sZJe62Z3IdYUDLIz6mtLaGSelicuKMNbD2O+Ig7HCwMoqbNHQhtrCocLJCkg9qjeQgnQqLG0sNrDZn/oMVKcBNW1qT1uffqK2taoFqGi4Qhps/woDXLPKLW7TxVtu6da3uwUucEEl3N/q1rjukpetEIjK7KWyuaeEriij69yuufG6p7zBJ7liH3Z697vgDa94vfskl0wFP3zgAyLpo15BAnK83y0W+coHPvOVT331xR76sEdf8Om3vvl1zXvFuxr4Ghg16yywag6MYLWMN3MJrKOZihdh0VUqdAdSIwAY0La1cXhtavrSheMoYQMRi8QlNhMNUwwpJFJqjUdcHORMtkYaJ7FslDMgihfkQhZLSyFc1BoGhyxkthGZyEU+cpKXrOQmMxmDDYnbjhvEvB4jiMI4JAgEGeRiH8PvxF5+IejmlclMJsbMr4WtYdCc5jUfBv+PZo5zmwmjXhtf2XddzjDlpmygPONvUcmTGJ/tCOgwNwpzRjEDXv9mtMGuaLM1CxqOkBmjIPXsbjISqYw27aMsRTCJKlRixbSMMVJTMIADIhb/pLfnFaIN1DIcG8oi+GoCqdrQAuzYWealUcTGE2964yiNPPtMpfXMOMGmpl5rB6NaSYrWbjr1iDOYQlMv8X1OCzG1T31rVF97THyudbMemKwbI4tY2RQGMaHk6xZB2qTNRJ2wg+Q62gXH3paW519TREwMe27aPHZWjZfnpYHg2kHdPviZKpVNZjBDd7quSGAmTnGgVPjcdr6yjEmX4y4lXOEJEgg/T8vakqvW5CT/7+fIZRvQg8YW5UeZrC1mqyiCg5xMUT61CUMtbchxsEFdJnHEXNxEg/OchaJ+Nc+3LOsJFj0KtojVtUoldVUhl1WuWtVuiZt1U/mWuFKxXLNEKEnXDBrXyivhCpnouKGLCYUdzLgEj25razd953L/ts7nJu4TrMEWojqVp7D+KjpVnfCrCrzWuy4rxtOq44TWXLP+EzYMao3DEDOy1DLPec1nvshMlhqHMb/50pNeyAc5u5ew7KAblgl0KGb9zfUc9ayLyvG3x5TVdV/1wW+K97KK1eJ9745BGWvFJEO0PlOOUIC2lz98cGognm9alweS+uy1fj/r/KSxpOUrmZue/4joh5SOmX9y6GdkYI6yFvC3vzW8ib/856+bEa2W5YuB85tbntozp7m0scV/rcVa7wFoY1doGjMikbBRz8RpPANNzXRpPcMz0pQzx4YzyQRNkIZNlhBOMnVUHmgLq9BdqHEVUDVZlpWCKXhZlTVP7XRYwoFsMRhYuTMVi1VTH+hwMZVU55VyAsVyLqdy/OeDRHhyQGgfUaB6Cid7yBd3JMKAw1ZpKBI7MFhsndVu+zaFUsgjHKUiWcFSNGVP3CQMJqIVorFOiHE7kUFZlFVZKtiGbEiGCUVpE2hsLpJQOlhPRXVPkaVUP9h8/7Re2jdQ/yR92rc7s4dzGzd5CIhj8P8xTSVFh5EYUsOGI8mWUp3VU/Dma18oDA43U8LQUM+hFXi1hjJ3WXFYWW0Yim4Ih6EYh7CoblACgZOWM5EwFasghuCBTt6kOH+YSD/4iyS3Xvs0iFcVdokoYraSRgPhNMXDFSihKDUnENPIEdW4ENI4ERFRc9M4SdSoEhpRczVREIrCflKVYOGHF2CBF+2XFLO1VewXj8XUR66kYOxEgmj4FpTDPfyYPv7VPf7YjwCJPv54PfPVj+rjZ8lYakn4REOEdMyyMo24kAVCP+fnNYSihG6yjEQmRUwmRQp5QBOZiFZGkZ+zcQHShCf0jASHRhSZK8KTeh+jkRNmd1SWd13/EhE0WUB5RncitnbeNmtVAzJGkUJjZiztcxE2Z5JXI3DedjJnUpJAh5KxBpTTQnm6MntSyZQhB3mRt5QL0jVCZF08oF2gVF1lyY/bY5YIaUoBmT5smT3UIyEISZewZ2GQY5MMeXHww5IM8W8vBiarYYINZo+G2RWEuWAOphajUWCJOReskWBml5I592XbYxQaNRytQyQ7wmydKVJDQljMdjr5xmyCtQZgGUNbqSB3KWp3BkS+4W84FG0Y43dxki3t0lu6yVvHNS65yXXvQlzi8lvuIg6rgIgH+Dw+mXyYaTjUdIXxtlGStjeb2FPylDqvA2mSiJriNpRP+WkkU5Qm//RhG3ZEI8lCQkk8XGOTSrd3EJmerrl2xBIIqXJ7dqJ7jRd8ioefuVcnwoefoWJ4iuefAioOPLg8KllqCVVSxgaJypaFyuZRUiiB8sQiywiVbBef7vk2XsllHTplA2SAtAk5GtphYMIDCvWfVFegu7efLAortqeiWGd1uTdzqAkRP+FBRuGNklRe6IeRXgOkxoMRlnR+OzpCk5SkPjqkSLqkOAk9JQNDHMqXKkaVYVYy/cJKrbSlxzFLxJGlWjocYKqlY0qmXGqmYpqmyJGlYOqlYBqkU2EJsMiGdGpZNpqaXBmRPKAoO7lGegmRb4OneyelgdqnchOSeXplXkMiqv/4im7YiopjqDG0npnTnt6Zoa4JQU8KLZuaqVM5PEtnlctZlZ66cx+XqB46IpbgqI3aqJQ1glaajLjiGw9TR+NGKbF6aG8Hbr3zc6h6kxn1GbZATBsSISEyfxZCf8e6rBgZfhX3rB1zIdVjl/ZVfk1yrZGUrUYiGyAEQsITG91KROKKG946rrPhreWadr8KrM1oRbqiqhIYGZKWgRfoU/U6nfKqM/mqr0izr84JOFplKyuTbqhYsAZ7sAibsAq7sAeLmYLTmX6lWJ+YhxNbsRZbsTElUxOLYAa1U/l4j7UFX/i4VCDrsZIpqYZ2YU55QL8hGZJGgZumrysSsxbor3X/OIEvOxlBQxiVOqu42IqsCrRC64qP+qhEu4qserQLOk0sYiLYBIa7aE/3NLVT61I66IHY5FTEyHzCWFCE1LX1qHaN85p6N3cLt20Ts62AiiCJEgUkpTOP1rSjiVLZaYcWaIfPORxr8EcZGSAMwBWrMLSterRJW7ixOLSp6Ips+E55kzhGkYuXMh2P9ViSW7mWSx2Ue7mUO7nYkI9DGIxb61pfS4z6gYjrijEeU5Vu06wx07pKwbdLoRpYiWO05V0ja7sGdrslC15IeF6WEAm1BLz5ohVk6qa1dLxeSkvFy0rqB63OixOuG73SG72XSSiY6kPnOamx+UE+1Kk1BHvC/7KaxyK+LDaflzIu6Ju+6ru+7Nu+7uu+2KBuVNGMZOKrRsQ1PDqZfXahXoaoT9SQfOe9dMRw2ECgeBKgfILA/SmgjcefCXyf+dkp8lsR/PuUgSqb0MMAiLay+6u/PqYmOcQxnnOqXkbAaOVVKBxXKfxWdHXCZeXCLmxWcDXDMfzCKSwOsrhDX1koowpiAqusQDwbIUB+mnNnaqKc5na9aHupAmK/CeLE0tKaZIuheNayNvKgDojFeIu3tXizFPrFkdFvq5agVmlrcXolaLyms+XBD9JqU1zG8PnGo9ahiiqoyOK/VEyqgdbGVHpzPlvEzMjBIkYQxtSFhsNom2hNhv8ss/ZqyA9Vfi4pmNlbR1AccnY8KeuJpyj7kxWZq7P3O4wEQIzYx4C6MlusV1pcbD0yfeW3aiR6laCaxHqMyXDTwxvklUcXqne3cwKyO0K3x2ZbomZ8yWhHftaLICuWy9/GABE3F3CBFs8MmUv1SDeARsvJNU8KbUyMbRrURjipMpO8tm4yZspcqkwHzOImwCnGkjv0QGS8en9KKf5DdubHxsljulD6lPRLZYIsNxK5yY0yR35cMtUTR+/sJZXcP9ejXUoSpN/jymNSy2gXzxXjyauH0NEaZnicYuS8ev/spyMJk26UEUQ6RDO5kyB8cFEqPeEsQzs5eQBdawW3qyr/jc8zHWW1wV/8ldMCyzUMzbrwCGFBLBs7rT+UMxtFbV+28V9DvdQ/vBsWwVykpD/2xUnYJV2g9DAfs9VcszFdLTxe/dVePZMnDdZmLdZdndav0bxKiaM8IXEUAb1E4UFWXdfSRatyyrB6XbBZ+47u0WsiiIqnuNeEjbDvVNiIndiKPaxnLCXQ4YkMFdmSHYqjGNSgBdkTi9mQvdkOt9k8yGCgHdoMNhXMEC7ne77agtrtq9qTay2s3drvKw7M0B4J5Yma3dmfyNmRncOMOriuKriNOk+0pVGmULDAHYvI7aiHq7hAO09yCrSJ69uCm9xBG93HDbSa9Vd+JTimIFkv/4UdoniGqPUW2uRwl6WHYciHpPW5XGuEonuEo9tyWRFR9Vl49o14943foIINtN2yV8uL330dD8cVqxrd1J3ccTgoj7iKBu7bCA7d0r3ccvgbrMiKDFXhto3hGn7hGt7hGM7hHx7iGK47mSm3LGIfi5W50yGHZjiaQoVT+gIftpDeNA4evvhUQshUQvhy741y9/G4mNLCNVzDK0zkQ17kKfxVs71OlFVUVgtT3gRxJFKwg03ll3WKVS7Y/RLYXJ7lWL6wX46wMuflV06KshRLBwNMCANMtjQwaO4vwtRLVDElpBGBwt0VzmGGSJGZq1NYZUhJTZKtKBETNJESL0ESxf8UuAmr6GF+5YJtsI1u5Y/u6KgoDPn0s7it2xdesbY92f22PN8art8KrqRu1vZT6qeOrqlu6uUa6qc+6qJu1AD9Y2sSASGAK7cOkxtzobP6EFxd1rqeyaC80dNCzDoWm8ejvQzR6k190FzpejcnxRoH6mJpz+D2kKVm7AUEOpYTKe3cq/UsqTp5uhtE7Cx2YXw5Zg8RyfV7QU7Tz997EBXk0OzuKJhjdijr7BS5MhEm0wKEJgktIFIkkdbupz4qyLeKqeVMqiimJu+4VWtc8DhE130KNVDkKIQ6y6+nRrbMy1bjjEBpqdycakF3MRANxwNCnuQ5P9UOqgQhy1QWlE7/x6HtpK8V+MihXPH3DtG6zPBTk6CzDvNmEilBL86MomGHEkez5jzYa6s8YAamM4OJc29TX9k5X8Yhv/Mgmjz6bsFj6/Wl2sTQ/pIVfL9S2SwbKjodAxwTSIFJkzi9q8PwbH6kbCjJfG3+bvR6L8duQ/RKLLYXjfESjfUjn/IOxGqfJ8JvvPCqu/gWJNrkRas7NEqUr1/F8kIVc5RK3EMKL/Rwx6FgKdOA//nB3PgraaJsk9J5rPEaL/plr/h6/MtkqzJyzyUr77fJJ3JhsarSoeLdxNjHjPdL/GkUs+xly3c1WfZciWVxHPhkknEkHD1HLKmUSuDahCnxu24WPWEn/3PxvsN3Y5+oqm/2ACz2GNw8g4/J5PeIsAo3CFH3NoTtVIw25JYy7qk8Zrfq4br/+g/rrg4QEU4IFDjQoEGCJxAuPJjQ4cKCUXjwiFBxIMGKGTFuvIhwY8aOFkWONBglikKUJ3ic1NjS5UuYMWVmXGlSok2TS2zqxGmypk+bP2uuXLnGaM8oa5BGANCUaVOoUaVOpVpVaoSJE08AeMr1qlWwXad2FftUrFOwUmtasrWqrVu4b9vKhRvX7dxVdu3i1YuXrt+8f/cOtnV0jSVLgSIhDoTYcWLHjRlPlix58WTImSVrTpzUljDQoAOZNFra9GnUqVWvTk060CpLsE3Fpv8NuzZi2Hlv57Y0W3duU7YjBTLaeFVwxEqjnIVaFu1z6M6jN81KMe117Nm1W8Vqki3oz8LChxZPHnzo8OnPo2fffn15+PHlj6fffpXSw8h5+47NX/bu/WhDLjbeAgQOsaSYwWZBbJghrrg1HpQQwggrrHBC4jCkcMILj4ritd1C1I+/EAvErUTHbOMtEDMkYm47GNXKaqsYa7RRO4G8E4YZ0Hjc0bwfzfMxSB+LJG/IIYPsMTQjl2TyyCedJPK+pE4s0L/Z9KvNvxK5NFHFB1dpsEEHk9IwEAzPjDBDCNm8kE04PQTxuC9ruxI4PO3sr87gcttvFeJYunHQrFiC6ND/hxJFdFFFG2W0JDMfk3RSSiu19FJMM9V0UuU2621T2yYNVdLZECv1U1MRi4S0vOBC6lVYe/opVqBoJc1CPirMVVcKeaUw111xhTDXB3flULmTUlKooIZQYvZZZ1OCFqWaInyrLr0GCwzba7tt1dttw83WW7xGE/Srql4cNCp1103rBJ+UlXdeeuu1l16iaOyu3ez4ZTfdlQYCgIF/nyO44OYSRutgs9JtimGo1gJyYoortlg8cw9z77P6ylMvvo7hC3lkkNnjWBhLTBLY3X5ZHutZf5/rzjqXWZ75IhdrtpGomHW+sbs1bBlTwTGLVpBopIde8Gill1464+9Ollpk/6ptmfpk8dS72mOu09v6s5TPtTHmnq87iymBeIB3KLUr4kojalUaKool2vb5Z6IKpfHufnPmm2+ghTGaTKeTVjppphEnczQeNLb68aw5fnxyySOn/HLLL5ccc85tsUQpms3Grmwcq1JooqAkmrXQWoESyqa9/94OK6J8Cl12gG1XXfW6d68975tQ56HuvPPuXfjgfR/e+FkDEZwZ6KEnM3rqo5+++uurL9N2uWf0Xu7u1daqOvKrO7387tM3n3yVghp9bNGhM90subl3m6v6hWLfWZomIh335oBkKGThDlUIKD/TVUk3+vmTiBqYp988cEv9IdBuZpOx8pFPdRnUIP8HN7jB2AFQZzN7EdkU5hUDnvAqBEFhVNamNnip7n4GXJZGriM3dD2sKgermboqErAUBnF2CltJIHzjpdto6UBLTGKXHIibOnVGbSKkTlb+R8XRWRGLYaFdTdDmwkLl7YraweHdela2CPhtiyaJRJ3opKc8VdCNT/ySn5CoG+WMsUbm26LLSBgjPRqwi0HJl926eL4Q+qyMAOThzpbTR5UUB06BINaaiFXJDGXSkhHiQyY9ackMdbJNnAylm3wSSBzxsY/u4tlYENbCQVkEeRIR2NpuUpLQzRCWJkRgU8oonRYCE2KvVKHDpLI2FTYsLQeEJVSQiZYDKvOL0iwYM4H/6RVlEoyA7aNZCRF2zamo8n2rvMqMSifEa6LtfITUJVdg6LtEjlOe7uTBuniJzrCsBI3ENGbETkJORQLRj2MRJ0BnhzpUzi5tqFPdyt51y1Wm0aEGzQ4tsUi7hFJURv+UXXX8lVGb2fIiMyHpTE4nqxOEwG02bMnbckSRksY0pnKTaU1tGlOTtDQjLkXbTlfq05+6FAAx5GBRjXpUpCb1qDb5os9oZ9Fv9jOHrpzOCcnSPpO8plVb5WpXvdrVxCDLJmtCU1kbY9bhmDUxZmVrW936Vri+FT9xpWtd7XpXNJEmKbfaK376yle/JsWv+FFOYe+IouMksUB8miMEERsi/0u06JFWjWoxu1JQQEp1bNy8iSU2Rp7xlAy0VgsrstaEmz5ZEE/I6RMDW2vHvLgWtsGRLQSRYxQCvZZAdKKTbt8YW+DuKbd+Ei5vXWsYTXYoTmgaJXM1+dysyqaxTmSiEgU0XeyiKGy3OycCuzhFjZpOeBRZiWelJCQoSclzn+tJhByT2sfy5jbXpQ19VURBEym2vrqpYGfys18BAfi+EqQufiFrInMld7lvatOCO1Qh78hxRI4lboUlvNgtUbi4E94wbMwFXp1hNiwi/GFNFEKdpESwVXKso208dKv31vdT//kPiQR8ok+V6r6l0nGqAJwiHIcKUJG673xvPOPH/P8nwKPqMY9xTCKx3so0giXsXq0c5cLqdaxt7WRdu1zWL4MZr5Ska5jZGuagxJNQrQzmVKlazKo286ku6gpNUWiWpn5xnWyjlvhUor4/+9nP4NNKoAkNaPEJOtDjW/QNVOJo8d2AoYZO9J8JDcNDI1rRld70pf8saZ5ZJH9z211T/5Vnp6zN1NREoTYXBk2FPeVgBONhw1xd1VnD+m0DpGwvAWZOzcJZzjia84mPyVGzrdN+IA0vWATa7NF9UH/mS98ekQ3tEb5wn8QUcURtCeJjc5ddCxXKsrAtu5cye4vf1spKx5IzZYZFjefWGVbVDCPz3VTfMeHsSF0yVIm8LG3/N1HZReiNO1UfHDsq2el1/AejNNIyg90DNfsmbvGLo897Gy+q+hJ9A3buW5ZFmVN8D/xj+dbJtPMt8pAnO3JCwlThAGyfumfuwoBvB16HkXGSMTUqHPucUkCXsZJ7LiogU9Axhb3L5DKXucmBTmNdo/rWuFa186TnPvhhy8c+JoxV0LJ+wWtbIL3p62YaNOLxFEsje10jH5rx4UJsThF/49rh/jaxEdzTb2VbXOkCyDewxW/g9dSZpAiOQUVjENEW/zTSeBZrVy+Z1taDNfq43FpUw7rVdLfBdo4Y7fesbNrfzsxdyqieohd2DtMZbDfjMypa4Sc2V2KGklt47/bl//2Ae59h4NM48BUePIsrGKg1rEJ6iRtc4rbnuMhlvXJSo37WPCY5zQdi+tvnGpUaum1s27w5Ob35PLMDr3vX/SdoSmtb2x/X97+frvJ/61rHDNfhIMsSyz8c84/GuFp5HVL7HdcJQIJrHGRRGwM8QAM0MfErPxxZJNNrNvHbF+7IH4HpqbdhgKB6CZ4SKo3gQKDqwJ/qqZ4SQRA0Qa5AQRE0wRjyELHKMi2znQe8Cm6aKIibu34inbgTthoEJH2iO6kivR7MrGVyJnBrDqxKQghEt1PaDuFJv1gar4yiHSnsrth7s5axJ6tIOPPbQtYDwxuxMyUcoB9swnQhKu3otv916Td106dp0sBpSsE8m0M7xKY7s8MSzMO3oUNsUsE4nCYgikM8JERDBESnuEND/MNFlMM/7EOf+sMglCWcKDRFg7TTyURLixtNtDRM20QYCkVNFEVPHMVMHDRRJMVSXEJxIygt8iMMtDmgca7nIqU1WQNRmqRPokWy6sWyssVJwsVdJDPl8sVgdK4OcQ1e1MVb/EVazMU3KSVfbMZprMXnWkZNykVorESb8BQgO5WWC7Ij+7H6IpEi6zGUe7KgQ0chSxXbQMdAaUXVY8ICSsOhwEG0y6IogCIWY6AKsyPFGr4rkSM7gSDdgyMtSa3fML4Vw4+9+0fpGr4RgaOF9BP/FcGwFruwCkotBmJI2lgVK/uQ3iA8OGI5Jtq92Co8/5BICaMvLrGuiiw81LpIAzOFQLm2XSKqEDobdOImu4m9IiynD9m7I7KSIDOQkSywiWygA7sjL0m5I1IR/igV71iiqbyxAZmjqYTKgawj1IKsAVnKrywQc4mujcTIpPyTL4HJlozJ4SuROyHIt2TJimQs2FAOeQQANsyiezSjqMiqdOxKJMuvKEo53jOwA9GuAGE5K+mx3OC6wJwgqDS5AeMxwzQRc7QgfhQwLrGESDCtslor0VQMxYCM0jyrtUor00QT00wM1WTN01xN10RN2qxN+2tN2JRN2HzNxaDN0WQv/x1kl70Mi2+7QneZmYkgHuLZoA6qDmlbHueMzqJizuYknvKxTugsHuzkHdbZIOt8zvIBz+rAzvEKI+nMzu3MCvKkzuIhH7HKQJ36N5ZqwRB8CQ6kT/msCBSMzwjAT/1sCfr0T57KTxPMCBHMF6rwKNNjjh+iQYgTwqp4NjQUoWeaUJYJgSi0UDR8qYl6KiZUF1YMvWSC0DarO5zUUMCZNxSFkVhc0SasCJURi+FMtdrBxwmsPe1QGbAYph7CUSK0pyD8Qi1c0AcNw7PpjjS7FyVdUiZtUid9Uii9F16jJ9q7QLY5Q7OR0B6lqEBiANpTF7fDojCFOyStEkpxMh9Dlf80DZVTIZUYy5Q2TTofi9MztZQ2pVM3fdM6Za9/eqFussF7xNIb9aedFFKrGNN6DENDTdATNcKIAguF6MbGJD6N/K0NG66O1DuFDC6LVCKYpC1NHS5RBUjgAtW/M66D/LADTKQ5+0mN6g7jJCbUG8IijaW3q1Afbb2gfDsiXaYylQzrUiKafKyTQ0l1pLHDy652JEzGNNYbUzLDZEu8BCE9Y6iyu7NC1MNH1FZuxUO9/Kezy8c3OyPLip8sjLa8JL3SG9Qh9bUGVcbI8EzOQE3P3AzU7E3OwAx63dfHqAzKiNfGwFd8xQzIGNjJGFh+9dfW1Nd8DVjTRJaxg02ccK//f41Xhr1Ye7XYjF3YzFCKWN1Qm6lSF3UhnRQ5kz1ZlE1ZlOWsKcqKqUuw75gP0eoYmm2Prwut+vBYtatVR8WOIG29mXtXVx1ZonUnugGvpzoMWwgU7QMPy5saqqs6qZVaq3Fa8dBZHKVV2TtOuMPRrJhAYApXeQKndEHSoS1aFzXb20Gd0siqybvZq4Pat51aqKW8pRUUAlJEb0U1VMPWhtFbvtU1wD01WMMzv4m3vU2YVStExo0359BbzhK7eWEWJ6Vce7HcKA0BlNDcyp3caInSJn0pWsqzMAKKth0swaIywyCs1R2s1VDd1aWykGQN2q1d271d2g0W3K1dKUMN/92t3QfZ3dT4XdQguKS4jE1JXuVdXuZtXudtXhjkuX11HUENMZHkqt2qrVPlLVSFrVYB1ez1XsLjrbzzx1LVO/JlL616rU5VsaXsrfP1Le7dVML7zLHSTGTdvaJDssO6SqJcMsUcTP4tRwDLkppUrQFGVv9FMgDm0xTrPMahx5vbuaxMysOcSwY+R/lCoq1cMiRKyxNhLaM0vIs0A6MwzP66YKQ8ssIM4du4SQXyPQn6X7ekTBvGTGUFYdYirhvuYbT0sPut2q0BHaRFw6I4SU+Vy5XMLYYsvrgUTCj+YbmkSAoaDfei1K2STIFk4rosLoZcEdCUV09BXkkhY8cwY/9KQeM0XmNVqRQ11hRvdOPnfYzLWIzeLKymzTqQieCPbbYYepVZsRWkCGRBLmRDbp1D5gktY6hX0QlFNmRCphuceOSdmNgE9DeQUFlNrgiV2uRMjolO9mSLcB0E5N1XhD2KElm0rZm16eOLosJVXuUWzY4MzVpzZVdFpdHVi+WQbdRX/Z3q5WWEm7QrYkOelJ8fhdCzyJsaEma4YzNoax+ecLRD+VzKvebPPQjNnRbOLQjOPYhlyeaCYJZtzuZvBudxDmdtVueEaJaUUmfOLWd4HghrFdF8ArZdXdR2hdS5mRGDc+YbIr9oZiiKfWPLoON+xZQxlpTNqGOEnhQ1Xmj/hpbXNobjTYnjzDhjSbnkQJpReisI6YQng2sXROUOi+hkLhwbqHrVpKVYpMTgl4xWEA68w9KvBabLpFxil3Th/AXg/O1poA4rB8VCDw3mvxGgWQmsQms4qShpJNSrNZBgAPojpyK2n7hixDosJEbM38NhySTWlLvM/XpKH8ZfyhyONNNnzCrCsC09si3RfETS12CuwEoKf2445mCYF2zbeesKHjW9RuIhRG3lqAhsXv2oV2IKrDKTN55jx35syI7s5OUDWUnUZXohKTRqXIaKRnqqUxyp7tkdsoMhd3OKAeoILcVCc20fVz5CZfbQsoMIlVqI2XaIco6A2h6I3CaI/93ubdl2FN7WbeHG7eB2lNr27eKebZXaZuYm7pTC7UNh5ETLS9nz6PIz2zMStQ5izkgNzir6xECz5ylU0X22pzKVaoB+UZ9cKWg+1F9TZQ3NERn6GVELn3wpodpJnXi5wmOmipqDn1x2JqKi7vQuPwZYwg4lbD0qqFmFa2ty6x0smBAdIZcyt17ioLG7HaeeKhg92xsVWw4329ENCZLg5JYYqVAGbbj55NouceLmiJEw8RdXcRgfieWucRxPcRmncYzwN9SOlxJScF61wS1zRlo0K2McRk9ScrJiqyTPq3ss1D76W0Adq9StMixHXaNYiSWAQdm9csP4KxNWChOW3f8yt7KiyKqGJliFnRSMRl6Jzmg5J1iCvQyMtliK3tg5p+iMXnOInug6p3PmGuouxAkj10Ukj+rGkbzPEi1Hrw+41WOvyzpAwUvxFldMt2VIrZJMjcomBuLourvdUmI8sa3jO6vAMo6fBrzBpK0RLkkMKz4dS0hjXUhzhEnbEmu/U+Bi1bCFRLyVXqbocg9JBw+o8RqrFeLqE2LrY/Zlb/brk3SXI+9bJqeaQJPECmClK6wnW+EWxjHWZAwtUwrJMNYdHkvGZMta52qd1l8ohvX5ykqpLGuvXnfDvEn0NqCi6DqqdVqme3TzmDzOuzyZjXT1AHYCr/YRHb2DupXvNUj/hSxLVf/i8e27UYfhib3foDu6NH0MPO345CU6pKuUjz8VNL2Uj7dTlZ+UU7nJJcDHBjdt79AcmgcdMzHyJl9ybNz5Q3fyQ+dTnpPzO7+UO/cUPZ/ooa8UvEwJTCs0atlvlKBmak6JqedETQQ5/T4lncxmcAbdrg9dJcVcrpcWry97ZcHcgeOJXFL4P1ZFUPRTzU6lyBMcccCGurd7vM97vb/7vL97v1+Quv/7vwd8wg98wmcQvl+8ui8TVj0dsggYVFqZ+hYeD+QKkyhwFF0oaq8RbooZ68YirFJap2G8wRl9xnO80Ud91X+80l+81Wd9BrmP0Bk7v/FCzrdEAcwn/1/GfIXTG6cCNqv4fJorCms5Gu05fuRPfuVffuZvfmHw2MU+YcrGmXx/qAA85S6EQ1Hefu7vfpKKoQ617CwN9nJCUI0au/NRKvVff/Zv/wEkLwX0Ha0lqEEWz/JM6tgsWNzc/3vVf9cECEuBBEYSSNBgwYEGBya01HChw4MNHw6sCNFioIYYF2rUeBGhQYN8opyIAOAkypQnTapkCcDlS5U8eEThYRLmyZkzT6iM2bNlSpc4f6Y8QbNmSaJKlzJt6vTpzwgzSUbAeSIKVh48UQ4FWhRroEBrwpIta3Ys2bFYo/CxZGnVW1Nv58KtS/euXbh05dblGxev37x78c41Jf94VWDAeRMjXjx48eG/a0hy7dn1qUujNWHe1Glz6eWml1kapak1NNTUqlc3PZE0qFTTNZ1GcC20Ns2xunfzFisW7RrdYte6RXzXlOG9fSMnN964eHLAhB0fjuy8edzI2S1F73t3e/fpliajZk1Us9aenrfSNq9SM9Ly7ufTX427Jv4o8qVidY1+bXDB/fZbbwIayNtaCrnlllwMLugghAs2+OCCehUXoYQZYjghhRxSyF2HGVo4F4gP6uVhgxxOKFcgm9WHmWmv5RTjSi8SRdpRp9m4I4+08ZejazNVBdpUsq1Fk2221VZbSU02uWRJS0I5FVJG+XcllljekGWQXHr/aeWXX27J5ZhZahUmmliemeaVpt34Zo2VxRnVVVSttJ5Xcga1Z1RBAYmTfHlypuegljEVKFT34RflS7PpyZVpVcVY1ZA9AoAeopZquil9Ox0qGpwt1fkZAJ5l6h56Mqp2anuf9umqqEfVdFpmQkZ1X3onqcppbJRx+iuwNtIkVLAolZYenjtaddSuxTormqI6DTUVe5TWNquLz/oZqbXdevstuOGKOy655Zp7LrmlPbvsrEWy9+qcT02Flln12nsvvvnquy+/+Wa11pGeeQbwwPkRLDDCCSu88MLwYTWWQBmFFUlYEVdclsUUk6WxxBVNXK/GERNElsUje3zxyR2f/2xxyiHfK/LHHgs0WbsM23yzTsfuRPCsWxELGp8+6QoWM9gYfTTSSSu9NNNNO/001FAzY8t4AAYYlnDCARjFZDR3fTVwWPvmW9Zkm1322MKNTXaCb9Xl3SrPxd1c3G7XHTfcb+N9d95uux2Y3nwFfvffdgvOt914Y8c3X3x9PWDZkZ89ueSQs821tJzyMFbRUXv+OeihP82MMKu0aLWAYqs+HNdeB9h6WqrTG/bqq88ue1m0Y+11hX8RrpddfiXmu2ANBm+X3+ERzhiIwPvtO/TYyWV8YcjLXfVulGufdfaSe/9bVrlqKtUalhTNzPnpY4P++ue337766KfPvvzwv/9Pf/303z///vILYwvVZsY1gIGNQAY00MMCdKDuFehAkFPgAR0ItgkSaDcPC4SFLDQ87RTmQheakPOol8EP9i54zesdCD14IhL5pYMjMkuGwBI2taXNdrnDndnEFjmAte5rPlQgEF8HxB4G52E5+ld+jnhEJMpKVgZr4pGQmMQpGiyBwKGZFJGUJP8wyUlOcheWutjFLYZxi2P0ohizdEYybpFKWnmjlbSypTOtiY50jCOY8HiDOnZJjmCCox/5aMc47rFLfzzkHeHosHZlJVVqYhMkIXkm/JTvf8KwpC0wqUkAanKTm5wMD7SlLJ1hCz/riRKrXoIkUfKoV81iJSz/YVSzdpXmXbFcSZ3Kl8lOenKXvuylJf+3ClDeclW9UmLOUFmf2JCqmPTBlDOjqZRIMYBSOplVKjU3kzWsopOc5KUvM/nLS3ozOM2U5o1ksxMlZfNQVzknOlnzI1vGs5j8oSeU6FnMeZXvQ/5UiIL++aHT6bOeQ9tJpXg1qjcCEo8NfWgtdyJRhkYUohZ1qEObqET8LIGJHDUlFZdIk45O0UgjLalHO6rOKJD0pCAFaY7emJVoAiqdOXMVS1DDrlO1cz4siZQ8HyWoXE5ue0aVoNokmMPvMZVsXsPg3qIq1alStapWvSpWszrV3QGsoLDqSqHyFDShoSRZlnJl0MIq/9S1rrWm8cqJrxIFq/dcMHK0q1xR11bDGibVqDrEHXDadj3hwUV6hT3eCU14GOYd9jjiER5hGjQcLCLUrYYCFdDcw0x42qhXPWVlbLzaytysjV57vR0Nv2e5vbIWtUWdIVe5VsLvOM95HYwsbmubWBIWTzyCEWDAGGVQed20lXXaXRCTO8HkVpCBQKxgc5l7pD5GtKIYvSggq8SlNUayu1firnfD1MTrUrS8E80ZDwqJXvXu0bzqPe8b3/tQie5xLUug1XDfupRk/YysaS1KblbBvs+5b2mdW5/ROnfgoyk4waNjxjC5djbYpq6pkptpfi1llPuegAEZ7lR8zDOa//+S+LJjJesxRSvWnxwlEMIwmjhEF+OlzRgbM66x0m4M49FVLQpn+XHs9Gov04alPx8+66g+O9x5yjVe/V0mZuVk1vlohpsNZjCWHYy0A3MZwV5eMJavDGYuQ9h1BtLhFSmH1N0NyMhH7lEETKniNwMYKXS2j6noc8zcPIyAW+uznwE9QK8J2s+EHmCgfYzF8DK6TVpc0yEN6R8+SjqPlL4jHi1tJkNSWtKTRPQsdXLfIs1k1Dg7NaoTVjMeqHTEd55mcQkVqtLY6dUvSZWS7VPXo/7Vrn8dkJp7nebYZe+1aSsi57BhiYclTqvOfja09UKzUJ6YrZh5VH+fXGI6NVL/vyaeUbZsDR+b5FrXsLNwUy1X4cqdeXZXRFu7gY2g8jHDHe4Qhy26xqC7NYduhmnMvxszt70FvOAEVxzCpRqxIrp5Vdv2L5TnWqpYp4bWczbouC+uOQnXTsilDTLIPS7kvtbOtCa/Idu46Y5/2NvezBiOQpxDIuPMvHclGtEKQ+hBDr2QD1iUs61FnGelDOWY5V6Xu45ubaXUadKPfLqmoQ5pp7cp0nm8etQ5faQCFtmJqf462B9mhizaZsVL16y2puxtXVErlU9Wa6j206taw0tocDexWq2k9HpCcyl9j2VVaK3Oske52pmtdli1LetXuQun79RPie9+7bM7GVeb/yk62infEkcF3Sl/9zu1tGWSIEHxTBDXfNyxfdbUQ4riTKcRnXHzp+HaqvNEmlVqjK4s3HCxSVRalGtOb/v6XNNIPCulEAF9aEIzf9DO7xqil/985zOyq1NvNPa9BMbscz+8128T7leTKrCvR6bhqyIPSfL97rO//YyelyUuCUBOitMWp4s/guOn//vx333+z//+9J/+oM9kWRGvkVxfUZixKaAQJSBg/RpsLVWv8Rpfbc+0vUtOQctatIUHsZALLRz0GRoBPZeFBQIfGJsEMiAFIiAOOeABmg2AxJ84yZ8l/YYtMI2O2diO6eDR4Jjn5KAP1pgwINuZveCEQWAKav+PEtKMUwlbEx5hsXGPEUohU2ERq0wLs12VWxQgDxUQBJVguknhAr5g96AZm5UhGG5PDNLgL5kON4kOHMZhgkUY7EChBR6Vr1Whmj1VmrlgvC0VvH1cHlagXWFY4XkFUf1bC4HPCHJdahEiGarbGTZhGiZgUkVgGk7gFdXEWOjN22CPcoWiKI4iKSpXkVVJIlVXQ10XRrUidlGXIl2ToEFf8/VZCErfLYJa89Fi9E0fw3Ge4cEIFDGc16VfLmLRMfqiMvJiMu7iMk6fMvaiMzKjLlIfZVVWTAyJpHBWPLnS3q2Lkd1ENvqEOJbjOIrjOZLjOKajOq7jSzDZIYpG2xX/Sc9QSo1kID6uozneY5ygYz76Izuio91VBkDuYz66I0Ai5DmqnZ9EwYcl2fCVVbi9Wqp8W6i8FY7Yl5B8Y0QGC0NyBeftneTdXu115OcdGa5wpGUUSUdOHjrp3nmU5NoRXe61Rre9iEomiiO5H0+qSQI9H7IRUQMOWgPS4tVgU0uipHq4HoBRm0vSZJO13kQWS06ynRWVoihGF29s5XJxJcNxkziEpTjc272FJVmKJVqW5VmKZVmOpVuaJTZEGDeiHk52FpwV3mh8pCoB40XOJJWF3re9HVtJnmAu3pwASm6QnA0tJgtiIhK6G9fYAlm23GRO5lhSpmVWZmVeJmfe/9sQXp7hFSaKRV48DqTwCZ9a7cdq8BdX/EhV5t5JJiVdKdqxRSK7SWASKpCEMQPLsZy99eZvBqdwAidwrpxxGidxIufLTYY+lRtPQaWe1STlWZYqMSV/pB/6RZF2OtHxYSd2mp92qdF3eQl4dVd5kid6Zgnq/CQ1tidRRmNQ7iKybY4/bWF9hoR9UkhAKQh/LsiivebhyeZ+ZU5DroEtyE/+IGiCKij8MKiCPiiCuuFVmmJXfiFWZuWFeuUCgQ1WmKOHpmM53sQ/vqM62mM5Tko8xWbnAWjdEd2oYGBu3KDSdNmWGZiNZpnSCAPrcN3HoSBu3s5p/ZgfPiYS+oadxf8T7PEdUF1ktvnlTCqeadYdWD1cX0Ilf/GHgeYYD/ogD+5gEHYpl65Pj6XOE67ba2HibdZmvDlmEgIi+Gics9RSfsEjdGIWlJaHakppi1Ip3rUEf8lKvwSqoA7EtAmMzpSfwhyLzhxqwlQUwywqfEEqeglMeFZap60fpH3f+gXJkdoHsFzLTJymgLISnrjmLS3qqK5GgqAcyAHpDZ1cvRDZWYQf4IHGOzllqrbSaubMdSaU6CVdrqYGP1noKGrlVmqlsb5OtmCetbnaaPYpSHrK2jVpVEapWE2pxAUjvOgUwkxkpnzW3L1SdN5ZnUDjNEqjNaIrulLjVLbTFfpIktL/pZMJFZ6WJnUOJl2Gxu91Kp+a3bQKntudmE61Sp2KJsRtoy0SYev0EMPGJxEqrG46rA8NkEz6q7bVq328k89UqUVKZ8f668eWZmDK4lzWqTyNG4vKK8j61KWok4lqo4i+o4jObIhmo4mSqLXYLInqxKd6qqjQarUGq3m4EZzipNEFymumbFSYhvjkl5za01OoqLYGnbsyhVlloGGOFdYS5LWE2GF6G3Vu7dbSK0YK7MN1BZIorU95itjyYzv+jECaZqHcnaJ+LeIZJtaOLbWObT/qF7PqLdn2LTNBzIjY3IfY1n2SiEB8J0xhCz3GVBKp00qRWuNKbuVGLuZOrkmZ/9QTXe5GeS5KhS7nbpRsBAfe2MIqoC7qpi7rtu7qqq7rxi7svm7cwK7ssq7qru6ygS7Teu7kmlLvPm7lBu9LUe5KOS7wOu7vLi/yUkmWgpmX3Sj0zuj60KGEpakKsiAKhmEk2qFfJUgJjmEgFiG8ja+RjgU2YKb6Xqb62hv7aiZlvm/7zi9mXmZcMqFq5e8SPiD25pUKTmCQZqLWgIWAJVj85N8B+58Ct4/9Wc0dKpX3MJAkrqkdguH4VmECHeAgDiIllmkHa00g2IJbrqVauu9ZlvAIpzAKn7BZviUJt7Bl5tvjoGElUiIaTjAOU5BdlW8OB1sDxWj0NliBCXGWDf9xA/eQJv4o9+qO+aKN+D7x/6oFezbswy7s1xDlxEKsUWrxFYfgQGxm/YJxy8mvGL+vGccvGouxO+ho1whiEqtWALux/q6gGGbvGF7O5vRTfiaufiZuwHRr8ZHawFBqIAsyIRcyI6naIAvyqhUy0z7yUdRiNSpfL1ZyJUvyJDujbEUbJ3eyVZ3OHzdyIi/yI6/aKB9yKSsyKRuyKaPyKQfvIxdt1BaJ2traj8gszaJLt+AyzOoyLwfesHQkUwotTtJyj1QkMevZO9XyjkhrREptMg/tMLsHYN5lUv4IrgYdgT7zNmerUhbzNOPZKgmKnoItdI4k3jJp1uISgMCyIZP/nyqHHSB36DXHKzqHbL9aK7Was0XqazfPx1Qwc089p2bJyh8qJpt2HLEtZo8WqW7wa0SCqrhGM2bcqixPE+R9syjF2a5R4QMF2wR/obwNW7tV4RqE6or+hGZMNMeK6ptNSzjnXsV6s9BeJxY/7A9tcVECZVFmcRX/EBYv7FTW08DW2VxCaYDuacR1LJ7y00Y89UdgxOk4MjwDclVfNVbvawjaIldz9c99dbpu9aFVo1ira9M+q9ZmrcEi9X5QHMb6F7aitWgarOZh67zIaBCHGY4e2Gfipg09Yqu2VsmxqqvCql4VdshB5kbqcrmgEmM3drjwrMj+SmhcLK8mM1tv/wvXrEL/AaCCLXDR5Nv1qhsE07AEQzB0eWEDOZVpk/ZHSxBEy+YyB2vT3StFywRNYJBea1leh5ktnNuv4dADtiD/otxdBRlgJ3cc405WMPOnzrRs3tPRObfS6QTh0oVuaUfdHJ/mMhHz/i5KMS/vhnfjFu+/fHf4ZLV6r3di6tZ31Bx8u7f1XIh8G+58q1DN0WFcR2lcp2Y69+202qteyhLd3TaeXSUkVmBuEmlDu9b+9kZnjnEYp/H6UriFk7EJZ7iGSziHKxtzjpHDQW2/4sSAu1O8GvjJYucMP7gm2rGZrtYGs00g1FtncuYIs7D7qrALq+WN97gLq/AJ43iQj//l/Q6Rc/fsgEK3PKYtiuMkrXnnTb9nTltxFhMRFeu0lQ9lcEjmhk94l2O4l0c4/WqmmIt5/QrDgwwHUtcqnDUeXR+UfnDkt4b4U9K5iz65d8qnCOIiMv6ZuUZfn7fx/P3P/BW6odffoB/6oRN6/TG6otPfoic6oit66gLQKqwFPqFe4qme3eLzrjrzp2BzUaN1aNI5YXL6iu3z1K4EMBvJk3jLq6NSlMx64EkJrcu6tTg2lFBKaby1iAftnQQzwR75qX/tZsEpMotek9/aPxO1sNeliD1LNVP00B0K0x75shvLOGeYZBN15hHJs0ez87JqWXideSUqezNUumO1pKr/+6k56s6kd6Oel3VNlKMq6qPCV7uu81tXtr2WOka+87qzN6PijOD5GGcPMYLpKICclke/dh6edh9CfARRvGpb/CVaIA2fqVM5sANt7yTW5ki/tpoOtce6tL8ndbRX57lRocT7sGuXtA2rqcvDODIWsBCXWQY718yvWc33YYHYPB7m8GlDoR7GPNKnDvhm/M/PkK/J2x0aaVxl+3VePGpH8AfDPPkW/dazNijrNm+jecMfYQ4FaYJPvGA7/RvHsfb2L7s5pov/YsTOPU5PeRBRsVAO0XyWbEuvaCT/6NoPqf6q/XJHYWmd9OaEsFQFAudCuXZ2J+RzJ5RLvuNXvuVf/74UYb7m5/kld3Uypqs18iIlHxo8qfqq+y2qp7w+Nyvl81DrQ1H6tf7mZ/7jOz7TbqxJcIuT2jmwL/ukPAnw73qsC/+uF3/wH38+bTvLqvXK1zlJFpSz7vfyr2xKNF5QxHa2O9NN+B5fKmk2E6yumt2bS+l1nnU9d3OcoXT229OkkSz2o1Ovr/8xhU+ulipcfb/2C1ewMpN3P7lEAcQJHgIJDhxYEKHBhAsPKmy4MEqUNYEoVrR4EWNGjRs5dvTIMQqPkBFHhuQRAUBKlStZtnT5EmZMmS951ByoUuTJmShV8gTg0yfMoEF72sw5s+dKoi2XMk2asinSnxFqRrR54v9EBK0pRUqc+DUQWLFhx5YNe3YsWrRmJa5y9xZu3Lji4NKte/etXXd69eb1+9duYMCD58oVh83SmjVeFTe2GhWqVJeQJTudbPRESoFRhiqtzBKoTJ8CbYbMCtoz6tSRLf/87DpCVq1bUaLcbPX0ZYkUzZpV2/v32uDBGwcSRxc58r3Kle917pe58+jNoz8XbH1wdeTMVi32DhYtya1PhZJ3PXl1aPJRiRq1LTLza/k7SQ+MXXN+fqS1Y9fPaRRAk8aDiaTGDDwQwQQdU1BBxhiMaA1mnvuLwuukkwtDvvAi7LoOK8SLu8UKfHCk+PQ78USqulqsK4JcfAghhrB66KD/F22ssSqvrIpoRhtvxMrFH2PEsUeFgCQNQpKSFFHJEZt8sknvkpxSogKVZFJExaqkMksIpZyyyzUsEYYZYcwk80w0zSxTzTPZTBPON+VM88017aTzzjnt7A7LKr8MEz7KUBw0pqrWWCUQCIUjTjjfFDuLUbG03M0WYWxJNCLeFv3KUU4j5Y3TBf1kjCJLVlnFlkpTteVUS1w1tVJLZVV1VmEsqQmr/vrLCshdd+U112CBHVZXYX0VdjOdaIMtstqgchZaaJmVltpqp2KNp/FqO2GkGo8ttteqdDJP0NUIPe8lFaMgazfgHCXOXXhFDARVSy0hiSy18p0IXk0jPRDK/ypLPXXVWmuNldaDFb40pHMdBq2mch+euKfbbpKP24h3Sg89jllDF+T1uBIpy097A87k3wq0BOF7vQKV1E3/NXDLmv181FRUU5X1TFoR5tlnM2PlmehETaT4XJEkRvrc+x5bOl3cmEY6tpICthlrK6+8GmsmM13lVZej3FrrK0XlmqQc+XUVbFPdbpvtt+NuG+y6X6X77lcxrfHIvv3+G/DABQfcpKkN/8nio/WjyjSoD0eqNPiaTaozZyl/ynLKGW/82WT5Ezcnyz/vKkerMct1Wf6enZbZ1kWHLdvVr2UcvNqHS+tdfm3X13Ytx+348Y2VSvbipjPOzTzR0q1Mvf90xRVwPseHKpEoxnl49qqfJI/stpKuQj3k4D/jtl3def+3X/PVV19TsSKqfvmPO1Ottfljui8n5JVPninyf4+ff+FDF/yA154AKe5wyUJgBKyiEv+NxjRZeZ59ZiO+idEuVGt5VAbLcjJJaZAsG9wXjyjmuPIMLydRQODEPGfB6J1ue48T1wJtUpv8DYV0afufCynWlSVtzWtdIlufqGSzPgURQhrj4WuQhJ8TSkVQCrTfEmlSQxVdb4DkAqD91LXDnzxGe6ZxyYwiuD8ofqZcSykX+YJ1LGC5sVfIgmNsfvWtOAIpJE0x4X7kgz/OtcZcfGRK/tD4REGeEDNV2WP/AC9zlEHmEQAPvF8WGclFADKSkvSjX1AcSUWpcOto7BGZ/DQ5SvmpS4VLEyXIJPaf5mUScyd8pSm1d8DDWW+FkTTJDD3Zy0di0ZcxIU0wkzKjFObShRnzIjEBMMEIDg6agytQCqnZLS9FznvWpGY1ualNb3YTnN8UpzPD6cNnRhOd6YymDxnUTne+0zGmeZ6S+KZOe6KTdPfUpz5tgqUPustTAd1XluoVNFYxiV47M6jPFLqzhVlKoQ81qEQpOlFVWXRhDHNQcQwUwgN5VEEeBWmoNgiwNQgjOclZTkpXulKWHsel0sFGmcA2qSV1lKMn29dvAirQePnzn5Li4E5L/+pTDorQpkBMmQhNRlCMsoptDmUo0Ig2tIsqrKJZfapWhVZRn2HqURWpHXggtbuylpWs5jufYiwxIQ19iELYcetMbWEJdo3Ip2dFGVJ599OZFahR7RMsUQfqL4H2NSw7ehJfc7fWxGbqZ0GDU8+6StnIPhSrks0qVbe61apitauV6o6XkNrBvJZ2Zo0S6rqacyHseKhDx6EpRYyIU50yVmYdFKxpTaYkve5UX8FFa3B7J1ZMkRaJWpLSd0b1Jx1B6FTRla5031Y367aKutmd7najm7Ppepe72g3veMmL3fGCF2xDBNMPR7Xe9r7XuULMki2YMVNm3Le+97WvfvmL3//9YkMYYAOV17rGpS0t18BZQ2LNCIxgAzf4h8pl782shOBJMbe9IpohkBRJrSx6eCq44c+IpzKbCpq4xCM+8YpVnGIW06bFMJZximcH4xrfeMU0pk0O63mkXyHrjkAelpCBHDoTHxnJSdZKE2f442g6uY5B9puTh9w3OPq4b1KLHeukxTovbzl1U3EPSyCpH2Uik5lpxth/ihfMYS6uiUBSM9IUGEzMrIQ0lNFzC+fc5+hBJVkqTHOZ0Yg/XC3Sz1C84eIWd2cHNix6/kv0pFM0kmK58cdXBpeUN92fGEoGK93SH6UftjnkIRqQhcoeTogENVyS+s9+dhpgjwrSEIr/tKi5HmionLgf4i0T1g9TZhrzwx7/mWhzPryJoF59yUMGUniG1GOxNxnA6gXuKrRm31gHq7tt81Rl/5sfKu1DRUuiaJGSLGUlUw2aXULwP5tB5pLFhepg9zLQ2RT0rEvaL6L2lLDFncj7hHnMeZsSMs2bpRnP/TFN6rlEzsbkFi1WvF7x5CpUJh2LANRxj38c5CEX+chJXnKTnxxAfzuIUlbkXiFmuLkxhzmVRo24bp3E3tC+9/0Wbbiq6RDN5COp1wIBq1UdHelJV/rSmd50pz8d6lGXutMT1ebJgSZx+9Q6HoEJFdDVfOcWxGXOBeh1k6QtcyzhVlkgxLKIUvWz/3GP+88oK3eiwb2ylU3Y0PDOd6vWne5717tleWRCJKF5akrTDDUHZMimSZvdzGN4S9QNvHZ/LGOpdPRLhB6eiQjeYAgLPGbhHtHLCn70l+VsaAcv2b+DXvWBF/1iFlk1JVrwKqCzt/TER3aknBnaCZ/MsEeGK02uKJ5RiC6rCLb85j+f+dFvPvNR9fzqs0r61dc+9bUPfelKP/ve3771pz9d8It//FWno7HeyKv159P97F///ONP//VjOfO4kU39iSXl/c9R/tqv0+KP/zBNAIPs0hCQ/fovn84ofqwnqVZNN/LIc5SMjpBMNixQAzdwAzNwyTCQA5XMA49sBC8wBP8/0MSErqc+KqeS72VYsKhurQVBimticAZbEEF2TQZJSoNWsAd3MKdGCghxzQZtywhFDEWEbhWw4TgOIyyMTzdAB9LCjgpBw2nyyrBuJ0s4ClSWargea7Fwy9t2y7EAaq0EblHOZ7fUKl7Qh1FUpvCKTehQyjruBQqxLo+sp+smbpIsL9pKqJfmaV1Uqwt1y6b8ygz/JEF+y1MC7nY+BdzWB32CqttOKxK1MH3WAoxIKZA2Zw1swb72a2+2TDPEqJYc7jVW6eGCL3mIzdoAaYpoKSpKp8KYy8IoLKli7haXy8HCMEwiTEd2UeaE8ReDERd10cIwTBmNcReFkRmP8Uv/TALxsK4rlvAwjgMbmJAZ7NDqwiiUno0PPcn3wDHakq3H+uYc6+kgRK1H2pHD/ObrgsQd5xEet44e5RGfjiQd63Hr9lHl/EYaoSjQSqVUXKXorKIbVWQaq3AcxS5jSi10+sgUq5Ai7wcJ76fyquj2VoLgKtIjOW8Km0bxJAPjeo1qwjEVmaYhSdKV0kWKZqI02ohXWsQhikRGFuJHarImZUQnbfImfZIng3JIcrIdaeQd48hpxmXhUPJ4PjAD3Q9/yEhips3hXJF/qDJkUM0ql7Ls1KglXIn/boNFdsnjrKZBJGLq0lIt15It29It02uxvETQ0M3dNirXcpEz1u0j/y9PL3mIfOxSUeoLG5uQMJsQG6ruBTXxEzuLqyyqsxiTMTOrMSfT9bpqFRAycthsIVORZNgw3EgD7PZS507SYf5yg9oOGzbErZZDbGYQQiCTMkOPomIToyQTNm9zVrArVewwNGRMzySO8jKl3ziKhMruFSXvOLsSOZPT8fqoOeWn5bxiFQqTOqnzMNeAnSbM7XQG+1KFO78T6bjz6MQTPL1zPFelPLszPNdTPc1TPdPTPdnzPdETUQ7Rd2rPYzhRKZDrEElihUiRL1+J2f7QXLgSkwC02qryQIFzcyALvx4UQiOUGfaGLANEhWTyAH3l/i4wQzuU/goQKj00LBPQjv/mb0MR8OcwU5vEMVBmw3/QTjRjtDL+kgeKLmxuFEfDhuMgwyZklEUFJDOWDDTxTfG0wsiwwkeTFCMJKT/qY946SUkf54oOrpCahiwbKM2mUkkR7eeATTJ4SSikcSUJZUwh0shC8CldFAXVdE3bFAX/z0ifBE5JcE3TlEPZ1ATt1E5TkE1LUE/ftE4BVVDndE8LlU8FFVHn9AJXJJFwJfce1SBApxvVTtQISC8tNT+NU0Fp6TkVLkz5E55CVVSH7iztclRPFVVTVVVXlVVbFUFIwhqZUFavMRtplQkP41az8TrvUCieB0n5khxdaEwZSFFwx19SJl8gkdtQBl98A1L/kNVYi+sR2ecRy/ANo/Vaq3WvGJEMv+2uTgqmVrMv3qoOoedSmWwzo3QmTDMTLfGDppWwHDFUSAvc4tUQy/CfMNFdlbVduRVbAe625HVb4ykQ6LA6DxZhnRA7L2Zpuucc7RFiIxZitS0HK9ZV79IIR2oLSXVUNRYGcfCdPHZVRTZUNdbWQsqdSHZSxkRCW9ZlH1QYqm5SUZHleOBQsO/6dEZnuzNncZZnfXZn3fP6fPZni5Zoe1ZogfZoFSNi8LQEQTBP3dQEp9YDn/ZOGahFnfZQp3ZrLbBq8fRqA9VN/VQEy1ZqD/Vr6TTJ0lZtTcyHvKu64La7sCtn6rampGY+/yKioGRTNmtzomyT9SoTsyozYUArVTAlXfsMa71UXfeSVx1mzPoSYqJgTF4Poljvs07PsgJX9SRKc09voQIXohB3LzMvcRs32BjndL9UAn+TUgPBLWNXdmd3VUQkcRE0WK00UBzGQKem4SQXJc2oj+KNHweHSDhsl9DMK0vxYSXWeZ8XHjcxRUaTevWTZrOFdDDVU2nWD4NXP00IK3s3P8O3QPczCkBRVtO3Vtc3fXFVV9f3MCaURVa3KPISdUUjIiMPEIUtf4mpTMnU3ERCQuQqrgi4MJCDG3F3Jz7tfimvf7tXSgeFzxQ31vrQOYOHgcA1YTe4OvdiV61OfJspJP+TdOEmeDm5N1MvuHr7Fz8vFYJT0oKFlSTd7RP362VvWEJlFvG2N89KySr/UBW3l5VkSd5WkUDFF1NT+PKsp36UeHn7knypF3d/Nxa/d4t0rjYkwru4L7y4+Pumi+Potyc68oSBk5jk7X8xmHn+qIHDLmPSePOGdy7b+OfE2COPp42pEGuZpslOUMnyB0Tt7/9GVJALOZAP2ZAFufD8mJEb2ZEf+cjOFJInmZIr2ZIvWQNF+EKh15iQ7zs++ZMZ47nagvpK2flwtvu47/xM2fpQOZWdr5VhuWcTg7REeUGUq0FuOZRphpdxWZd1mRlN6p3MZpeL2ZaBWZiTOZmD0Zf/X7WZHeSYfRmae9kWm7mYpflV1+V9t5mbu5mb6ysb5ZdUAtYQ9XbuNvfv8i726q702Dmd+y5NLmoL5VVekjWsxDBfhaoQxxCxGKsIzaYQr3UMybkRbRATCfFe8bldEdGe8xmEtBi2oEOiNaRD7HCci3AI4+kTMwt0RRf1PMv0uOpgGGpjA5qhUWtffwpg/82el6rBHNoHxZCl+UpgZbCldaqpvJCgAwuflY86paMJlwOog1qlsFFsgPG5tlAu28vtmg6iLorpnrqhoHrppJqqC6aqFWq0iJljUXY4efAG7zKjC8u2SHYH7wqgMZasu/qsdQ1jS+utg7CddDCs51qu/2stpyLCEnCYr1sWMXdkm9Lm7P4DsHWoUR0iUv2jUUHTURU7Uh+bsRNJsRmbNGw337xFARFZRPePszm0AAUZRPvPkGeySQD5jRKws5ESdQLZs0kUtUX7RAPwtFc7teVPV0D7TTlbJGA3acETac2zZ08ljMn0cR33Dq2HjfO4f7Dp0GLHRUNTuc+lOEutmWooaQjtI01tuaU3uvsHSQw7hXaku6mGgSFXAgelvCmyKuYtWcZbNPxI2TLTvSHyQmPbvjHUjpJXhdVuJCtSXU5tjIp7vr3bA5k3jZWbWEExv2aKwfkrFEMxvyK8wSdUyzKVfAX83pLyk7CbQJnTiYF1U/+HWIu+NJWa01IF1HvBl0EtPD/XLjVXUzUnBEPc6gkZF2NG2I2ne4Fntkx978ChCLt/3IXp8pYiwhYIeFxdazrwQhx0mL7NtpKtFsrR9GkYWccHnHnemNSwkopIBpy9GczD/H23MSBjeD92u7zSXM3XPM0N8ks+4iJoucQlThVhGIU7scOrOHxUV3ir18xdDXgDfXzQ3G7txtDN67qsy25p+XFnSYgfrWAt9+7emdLxTu4KV1ZaBa21eLpMYRU8/dPnNtTtqsrT7ooLyIxVQ0vxvMPxbCKx+NRhyQEPKYlDXIgxDtLAzMtgSdevaGbNzGb9FjddDzI1HS9xxhRcJdn/5cZtkh1sll3AwLvcBD13d8727Ni9e9hw4pi4le9yGSp0Te+qwP2pZ4U+Q0ipbDRumB1vnH1u3AYM6Uk2ZofLSMzG7h12XEzHcAzFoiVa8j3H7n3GrCfg+b3EcKzeD77fB57hrQXfH/7fwwzGQgdOpfxqCTUFuZ3acAKwA6QsP15SJXWXmvVJTNuYQPMGjLInG9tI0HFsdPHAZk6+Zg7m4mu9JIzCZF7naR6IhtHl5PIWD+yIYl6piV7ng97mYd6I+NqG+xpCY3YTb33E3e3XS82YtOkghBwj26VbufWsvJ5frFUNqdUzy/7ryZ43MoVfz54Mxx7s395Y+RXt434x/9xCxjNkxvM+78UhMTA8CTmcTI20NG4uV9Ks877tXxG/XxOxppfVX/8qMU/6Er2wX/EVXue+6xeECSf6QwRjybWjyct8UAzIfmedKQxNsbJe6+XYreVlBT3o3xj/tHgrqFT6rlyaEuE69n9w9oez8XlfruFlXZjBfdVXfYv/fd1X+ZOfzP3+znfcxpfH07ip8Fe/0c6Jk7Nf+wOHR7bf+7//SL6Gzcefu4Y7hR/9l0J8ucNbGqEbFi0P/W98D7FcI+lfNPKQ3j0s4gGe/30d2wECgMCBAyMMPMGDxwmCDAUadHgiSpSECiM8bIgxo8aNHDsWFIiQx0WPJEuaPIlSY/+EiSNTunwJEyWPKAtjmkw4caHBnQB4+uwJ9OfOiwYjRrGINCnSnhFm0jxhMajUqD6HUh3KFKtWplytWs0KlmpPiTVtmj2LtufMsmnbuvXYlKbSuXTr2lVKUaLENXr78u0LWO/fKIML6w1kaZWlxYkXKw50OBCfQJQrV15jOTPmQJspd+ac+bLm0KAtfy5tmjLZt6xbb4wo0rXs1hEDCWN2Ozfu3bp7M+MNHHhvyHs9owaNufPp5MY3O1/Dd03iVbaECatu3VJ0x40VrzLV3ZT37tPLe1cMftX49eLJr3cPX33j9Or/8tw4Mn/HlkA58vf/1lpn/ecQRkRldGBK/BH/WNBMtrgjjjsSShjhhBZeCOGFFVKIoTiczQRdc8yN+NyIyJ1YomC2VWeLLZwRxt173qUXX2LguTdeezKGJ6OONvZIXmMS8UAQg/t9ZCBDCyqZJJJFPlkgfg2FxGRDCfZXZZNSAuhkll1iqSRh2HC4YYRmZnhmhWeSOeGa4lgyUXTQzUlnnXbeieecgAXCoovbwUejYoAGid54Ns5XY46HClroYoHGaEl7lhDH1mwuGelaXJWahelbnZIUkSXYjCoONqWSamqqpa6aqqqjuorqqdgQNxNFON1aa666ToSrrrdOBKxffNlKbLHGHotsssouy6ytLCFoabQvUSQtTJ/a/7RSFHxSpx636tnSLbjfhjuuuNyaKy64wyrUVZQPCdXfu/HOO9REaiW0abX6amrSlSrBpaC1Ti4o0ZJgXmpllgZn6hBLVykV1sNL0RXxvfjqCwBsIR2FcccFGXUtSQSGHLCWLsHWL7RcDghwSShjbGu+smVbK8keu9VUQvDuTK9UWN4H71RC/yT00B8BXaC8UWXssM9K93xf0kVLTXTVRT9NtNE/aVzxxF5rJZbEeFEkc6bAQsUaAzcLpPZrQwYGd9xyz0133XbfjXfeeu/Nd991r7EKbtYNTnjhhh+OeOG0bnrlyF2OjBPaDbUNAOVQYmR5lJoTZHnmmx/8eegDJf8U4omlmahcc8apbvrporHu3Oqxz/6666bHztlfJtpOe+u8r/477qgx93vxqaueHGHMcMg8hhZu6PzzbVIIp84okTwSQqtx+pLNOO9FfIi0J4d67uaj6Nlz5ouPHInp3+7++eyjiDr49L8fvvvkt//++qfvzz4A+q98ApwfcyQijAwpME1oWmADGejADGFDOxeT15euZTDYWJBnQYsaz5wGJg5SzWhXMxpOAigi9BHQdSsMH/Jgp8LxDZB/LhyR/WqowtuxkIY5dCH6dNhCGAZQIqsw1apYhURVJXGJS2wVZC4WEwyS7n76I6AVUac/KnKGD1XEYgFnSKIhnWCMCkH/iBnLqJA0nnGNaDQjGd24RjeqsY10ZOMY7VhHNcZRjxsbkh7nCEdA7tGOeLzjH994yDzK8Y2BxKNEttUi6oCrRZOMpCUvWclKSjKTq/hLbKIVl0it5zs5Ok98diQeGY3ylKs8Dylb+UocJeqJ3lubvm4lOVvCbC136aUv6xISKP7LS8QMk3Te46MZLSo8P0rUMpVJysaIsjuGYmajrInN91jCDBzTpTczoj1e1fKbKYncOGESsyq1xHEmAwkPAJdNWTYzmfFpDz3puSNG/Sif8fwOj5o5LNGRc0uZgk1OzjlQjjgFbSJs6FQ4mM5oaa9WwKrVEiqKUYry4KIazShG/5dAUY/OhKMf1WhHT/q2k4J0IiutKEJbltDrTbQiJUvoOol4nZyySKc83alPe5pToLJoXWVDy7toElNd5oxBL23nl7DVPfwYpWmgW9kwjSqymSxPgdHrqlen57w3rUGYJVnnUwlixqTaUoPF1Jy//OXUgV0wrvpxq8qYFM5PXq5TcN1cXUNoVYwgcHriYKBh0ZSmwyYWQh4akgUBK1C6JkStaxMQQaNoMr7GtapRnRJbOfs5dnoJe1eN0jsf1EDCqtZNXE1tas1EQXaBcrKt8VxkXWLbkz2LsrwlyEyamtDaIIYxiBnuYozLmOQmt7jLVa5xP0TWmVnvLLn1SHUzcv/dsiopur2Vls1WolfKhiwiRZVNRDfb14Q5hLZ/fevluCfXzA6Eche57mftqiX3ik6zt73rXuPbVr9a9qxV/c+n9AvTg9C2YxF9mrvm9WAH94cl9AXwwcyqNqz1zGf9qbDUANy4o/WEvP+FUogtjDSoxbeDHIYwiN8r4f7c90CPdbEHkZRiyNqYw0qb7ntP8tcQ4iRYTglpkVOqlyMTeclDklOengzlKEt5ylSOMjfftmSnJBnLR9Zyl/vSUSYbGckiRbKXsUzmL3N5zWcOFpjNjGYlh1nLWV5zmuMs5i3vZZOU7LOf/wzoQAO6k8AKIg/X18IU/dOepZyRenSUSkD/lXI+yJSPj3TUqGgmE9KmjOZ4ilO+Aa6wh2C8n6lHvTvxZfHQpQsiAMH3xf+RWtaGRqGreRiiBH5117zukHZuGEMW1tDVMHImPyVdT2zek5rW1Cd7nCkpfz7mkVYkdRZDfets41p+L0x1qWutux1+O9iqtrYMtc0+bVlCsQ9sN7vZDaEnEmbWvdvf8IDIl+nw09PMbmUz5dNp82A60wKfTjL3fcpIQcbWO6z1D7UNxNb5cOL0bri1T2S/iztc3KfWeA4xHoitNq9MYC05yUdOIbH6sVksV5bcrnw3mPtt5jQPTMtvjvOc63znLF85z38O9GLNmzGCkqbRi86dpCe9/+hMhxOvytsWH3d3ZjmZutUBwN2rYySYwD2JrboOqm5qnTVxkfrYE1qrsyMoV1APENmqRWK1myS7H1uo3INLEbB7jGaSS+/PYAyX81oq6/Pl3Ek8R/eYdG5yHdkYU3+s3f7GVLQH4RVBuw5cohDGkuP6libTdS5vTbJco+e8up4e4LPEPfGFtwndX/892UqeZYFd26dgo9fvtoXyaI3CKtTUVeiFtde+Rn1pgbx1pDJeX5b7D+vNMuCapn6zx6+99cMue5H5l8AJVlI4HwT8dyPWgeIvLGJflP2VtVdLaVU8gRFc/dAxyLZwjb72t3+9+K8/v9w/0sd2C3kpY1U2A/8im1dYB4iACaiAC8iADVhYEyROOuYWRgEdhLEGZuBkGGiBhGGBGhgd3HSBFXiBHKg70dGBckKCsEYYGuiBJhiCG4iC0AGCK0iCgxFeLgZaZ2VW/YeDDHNXRgJeMpNeQxiA6mWETHNM2LFTQsWETPhTShhUtkBUl2UWtTFNphQonqZK5iFwrkRp/YZpCfdoqhSGAOdvk+JYd6dW9zV1uHdHbwiHcSiHc0iHcsgr6Ud7VkIYhrIjkEJP0sSH5PEohOIej6JPNUKI0faFpuBJeqdW51RLQah14PVNgqd+JaYSMBJwjfaFkwZw5kFwneZo1nRwV3hpq8RoXLgKlBJkl9j/TpjSigozWvw3e/IFEgDIWX53YCimEXnnTee1g1DVMCQIgh7ogSkogi0YBcbIgS3IjB+IjDC4gjE4gy84gtcIg8W4gUnWK7zijbhyh7tiLOGYKxUljnkBjs6Cjuq4jsRCjul4jt/YjiElj/DYK+Xojib1ju/oK+bojcfULQEpkANJkAVpkAQ5hd4FUmqYFtkyJy/EbfVmO6bxGbcmbjhEPPeWkbvTP7ijPvlzGZhxGBgJkRSHQ6KxHKnzHHsIPSd3cq3VkianIYRVPTeIVXpIJAx5FiCyba12bV2UP9dGRT8ZQ+SDRaJWRYjWbTM0kkOpReX2kwD0kEbJPxKxbq+F/5VrkpVsYljhx1joxziY+Hf9t1Q6CX0WKDsR520f523nFjxCxDoWZzxp+ZZtmTtNuZElWZdz6ZGwQxjC4ICBKZiDmYAQCEUhw3smZi8x9XxooY+/go8iFZkoBZlldlKT+Y13aI6UeZn+uI7yaJmduWX4+GWQiZmT2WWoiVFRgB2J45qJ05qvaThSOFZ4aGHTxx8603yX42EMsXh+RYuSx3sGNjq2aZbwhRZck1TZwkhxWEZwVIeM9JzPCZ2GhHvGSXYL1jGkdX0eYXbHSVnKaVOLSU6WOBvfCZ5lFRGOmJ6eIp7kFHfleY9B1yw1t4z2uTcyh582SZzodYT6V0z7R/99R5iYfmUUuYR/weh/oTMTynWIygWIS6d0RiehFfproAY8JqmXF7lwgTCGXeiFpBRpnTaiJQpwnNaFPzJw/dYjJ9otzfRrUfOf+4V/+DWjCrqggMeDBYYfQ5ZLcLUwNpqDQaEtYwJWwldyzaOkwgd8Mwkh1YOWqpaUXwSVVaRu+iQpNDJNgDiI1/QoWSooqVgefiiI6HGFkBKm71Ew7Xl1OVN1tjcTCcRa7sYm4wdBWhl+JOch4faWHCqRMaQtWLiJLSpL0WZp/vaJW4hKiFpp7vEhbDqJM8WeLqMtTCo9w9dal4pySaomUMpkbqZkdtZmoaplVWaqp1plXISqT4b/ixJYo/0ZfzsKf53FowOqFmfDX9LXIFFgCX92HZT0q74qaH0CrIEWrH6WkNKCECFAXc2KOS+RXeCFQQHqX4+loLA6pLIopLkagAyyMTkppJiIo9lDnrVoYgKYJeYpG+vJW43pm2UlEZAqdxGgPZOqEr+lqzkaeDWjL+3HEe5qr8tHErlFifKqdjkDrpYSnzFlnn5HrV2SVvV1VrvpimwzV1RosXOnYPyYc8GELMHksTFDnyNLssvSRxxLnyFrlc11XBBKXJMCszCLXM4Vsy37sjaLftgZq1mVsAbLESGAoQEklYhWbVBJbkM5tFJKQ12UO1RZpUubtFFbQCtpgU4bybVNq5QMR0RNylVNiqRI2rUdEnxtUpNQ8Utn+0sahLZry7Zp27ZIYbZ2QYGrSrd1a7d3i7dUBmt5iyd7YQvY8BuBywyAK7iCS7iGW7iJq7iHm7iHKww5y5mSaZkZFbmVSZmTW7mUK7kmdbmdi44ehZ+hK7qjS7p2Q2elGxh8q7p1Apqf+bnd+LqmqZn2OLuwa7viWI+eKbvtWLu4G7u9+5iZubueKbyh2bqYi7mdi7zDa7nH27yVe5rG25mkubnFG7zR67nEa5oBAQA7
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
R0lGODlhkAGHAfcAMf////dCQvc5Oe9aWu9SUu9KSu9CQudzc+dra+djY+daWt57e95zc95ra9bW1tbOztacnNaMjNaEhM6trc6UlMbOzsbGxsa9vcalpcacnL29vb21tb2trb2MjL2EhL17e71zc71ra71jY71aWr1SUr1KSr1CQr05Ob0xMb0pKb0hIb0YGLXW1rXOzrXGxrW9vbW1tbWtrbWlpbWcnLWUlLUhIbUQELUICLUAAK3W1q3Ozq3Gxq29va21ta2tra2lpa2cnK2UlK2MjK2EhK17e6Xe3qXW1qXOzqXGxqW9vaWtrZzW1pzOzpy9vZy1tZytrZylpZycnJyUlJyMjJyEhJx7e5xzc5xra5xjY5xaWpxSUpTn55Te3pTW1pTOzpS9vZS1tZStrZSlpZScnJSUlJSMjJSEhJRra5RjY5RSUpRKSpRCQpQ5OYzn54y1tYx7e4xzc4xaWow5OYwxMYT394Tv74Te3oTW1oS9vYStrYSlpYScnISUlISMjISEhIRra4RjY4RSUoRKSoQpKYQhIYQYGIQQEHv393vv73ve3nu1tXulpXucnHuUlHuMjHuEhHt7e3tzc3tjY3taWntKSntCQns5OXsQEHsICHsAAHP393Pn53Pe3nO9vXNzc3NSUnM5OXMAAGvn52ve3mu9vWulpWucnGuUlGuMjGuEhGtra2tKSmtCQmOUlGOEhGN7e2NjY2M5OWMxMVrv71rn51q9vVqcnFqMjFpaWloxMVopKVLv71K9vVKcnFKUlFKMjFKEhFJ7e1Jzc1JSUlIpKVIhIUrv70qEhEpzc0oYGEoQEEL390Lv70K9vUK1tUKUlEJ7e0Jra0JKSkJCQkI5OUIICEIAADn39zm9vTm1tTmUlDmMjDl7ezlzczlrazk5OTkAADFjYzExMSm9vSmMjClaWikpKSG9vSGMjCGEhCEhIRhSUhhKShgYGBC9vRC1tRCEhBB7exBKShBCQhAQEAi1tQhCQggICAC9vQC1tQB7ewBzcwBCQgA5OQAAAAAAACwAAAAAkAGHAQAI/wAdVHDwQKDBgQUrJDS4cKDCgwQhPnQYkeJEhhIbVqygcOIDhB0JegT5UWTCkh9RjjRJUqDKly5JtgyZcuZLmytTxjyJk6fJnTFdYrRY8aBGjRcRZnTI06fOjk5HRm0a9KnVnlWlZqVKs6tPhxUuaNBwoSxZsWfJpj1b1qxYs2zbqoXbVu5btHXdrj3b4kIFDS00/O1LGDDgC4UDD0ZseHHiw4UrPCbMWDLjwJQVT0ZcefNjx5AhXxaNWXDoxJxLZzbd9+/Y12PRwlb7WjZs27Zrqw1rWTJHwb85tm4RvPjw4n+F+yWe3Phy5MCPN28uHTj159MRc7zu2y/HCxyAiP8fT768+fPo06tfX54DB7U83MhXJL++/fv16ePXj98+//7zAeifgPkRaB8TbvxnoIEKLugGE/zRx8NYUfRhYR9vXJihhRtyqOGHIGIYYh9TjNWCDiimqOKKLLbo4oswxijjjDTKSJwGVVhCiY487uhjj0D+KGSQRA5pZJFFTnIFEDw04U49UEYp5ZRUVmnllE9eCWWWWnJ5pZdahinmmGRKic2EfZjzz5r/tMOmm2vCGeebdNbZpp1t7qGBDm0g4uefgB4C6KB/CkrooX4amuihiiLSaKGBMhopoY0+iiigOnx3RSyWdOopj5+G6umOnZIaqqmifmoqqqOmGmosVXD/oAiYZdZq66245qqrrdg04UMfcrIp7LDEFmvssZP4oIMdhwjqbLOLPpsotI5WC620zRrq7LSOUrttt91qWy242UbLbbnWnrttuewiooNgF7yhKqefcrqqJbGQSi++n65SL6g85tvpvvta4u/ApdKL6hXx7erwwxBHLHE947ihQRRqHqvxxhy/GYUGOZjbrCjYrnsIydaajDK26ZrccsvrvnytzOSSu7KjN1vbhg7EXZBjqUAHjS+r9wod9I72nio00Uvzu2MVGrgxzsRUV231xO4wcXHGHXfttbCqaMBDG9mSnO21J5d99shqn212uGmzLffcZsdNd9t3z/3s2mvX/502zw+0cAXAoxaMatGgkqq4qkozfnTjAFfhg9ij0Hr15ZhnHqU7Fkfxzdegf20OEC0sgbbK7Lqd+up7w52662eTyzfasL+uOupwg5tpWFXsi7TjCYtKMMLEv8rqwU4bXnDBOlYBhAYcuKH59BFXPgoTTIxSCzaWT8wEDz58Hvr4Hb9ygQ7R1u03zrS3jYjZ6qvNvtzszx93/Xa/nbb9+sevP/1p21nP/uAp3xVQX8ZrWqtaJbB+uQpozANVAy0hiD9MbhTUy2Ct3IENbGDPYhPywQV4wAPsMWEcGKTa93wgDfK5cGPmmNwS4Me69T1rZXYLV7f+l7e95a+GeINb/P9YF7chZotnvDMa4RKnRMQF7HBGW5zjfKSwBXbqCpNrhga3WKVRoJAJTQjMhHjAASFMoQrO44APmtAEMGavGVN72Ch8wMIX2vFYfdgT3+oWLr/ZLXasE+Ls0OZHQP5xbTscZOsUCUg/8cwvP7OiEwmHQE/5i1UAM6CONLlEVx2MElBrQgqnZAwplZJKp4RSKk3Jyiit0pWtJGUsZ1mPUTSDCUtwQwsmBz0gnDEOlFgcJeLwB+eNZULYawYGX1mPVzJzFBrwAS7uSE1ifYMDLSBbygzJNtfhsIeFrNnsxMk3ciJyZkFs1yLdpakqDq+AAYOgFeHZSVNF8GDLkyImS1X/Ijd0j4sS8+L1dNAEsfUSCFWIwyT2KapQkkIRBW1BG7knJndgcBTYUAT4plnNjsYpj+i7Hw19mEO1GXGI/ANg/1R6rZHOb35DXBkNd0gHJOJok5BjKPBwKjR6IS9oSYOc8Dr1SYU9bwkAvVwtLCa28CD0D8B8IL8M9imoSa8eHCSFGyakg1rUEhvNqEUtRnE9MOrADTp4wl98oAqPuvUf0sBmH4F4PwBy03WJ1Nv+bic/vnbTryU7pP7c1bNIMpGoj1vi7yjZtAlCEWCLc2zj4jA5JpCJmaisFWZlGaZUjkIR0STCFf6wz6IxjRLPIwWVmtEEHqAojGIB3zGfoEYL/0FCFS18q0fb8TEm7FFvuXPfXdtXzuLaEJDHZVdyR0pXdoZFXkaboBWT9tPHdlKBlfyddQ/bqT9wQJRJLVPlxFQL6MWBeVJsoGQHRlkNYMNKpGAjCZvUWg28YhXf+EY7gqVbt+ICMOpqJGBTF7+52u6G4xywDwup4LquTYBh2dQB/8XT6061kvv6qQOJx1DpTvXDnoIaD94b3jDVggk6wN5YxxHHKGHjXdBdYARPVUVL/OECTroSi90xNXdwrgnU6K+QhcVbDZjOfW1YQg6YlbKXOthvUHaWS/E25R8+uVzHlR1zzfauv+RIp5iscQMxuc+DaXifQXUVFBs4BR9kr/9Km4XlmOIsZyp97wlPKGhrU5y9WjTDYkC4VwQFTWFLCCFqtoovJIbM6H+owrWKSjKK9qSDkBWRwIQc7t78iEPZOdjTUZ5rXr+JTkEh8QKDC6qH01y8V1Fyxoitl74oIYcaU/XWuD5Vav9ZYtCWYhu2MMUimoDnaPLMvPRM3Duvi1oNqLZWrI0Cfxvt0dHpYAlLOHZgxCZDBF9ar+9rG3PtJzceVpmPC+argVFKWL/EWGjIu5cwE8tYHn2Sw1YUxIe3m9g4MMmyzYTYZukc8CiNg43b0IfC4xGPbTxD2E8YyxSm2LgfJXYSHBixrdzhq9xSW7dh2zYd+4Bbc0CCB0v/qB0jDUzS2ZFar7/t24FjvsiZ7c5nTRxYmA8nZinGWlSlXSAlbM3dqcbiChkfZWZVCedbEZxiu4SHwqdOdXLkwWdBXRUnIXd0sfHaShpd9Md1+40oTAESuNCvsCBh5JrrUMqM/B+5W3rOtxcXb+hUuRFNXdh8PlDDIH6gh53GwHhaGGH2jLWpvMsDLZZ4Ss1oEjeoTnl9LEIDQtD38nY69OBNNZRfr1IzojntsVNzv8Y6uelGKlO94bDTf72d3b8tikTm1dsFjv3bHdmzwQ0tgQmrtc/jud2stzpVRGcVq4EuYhI/HkpzXETlKX8L8Ol7p8lWsyXi4PVbHVwDHjc9/7XZfmRQp9P1eN/mSgN7+5I62Mpw/6G7/BKvemJf6IWvcNEhC7TIypO7gqY4h8YEoadZugJa0jd9UwcPk0NATdN5FodTEUhZjYcrWyUJ4jd2qudpikRqKid7eFdI4QSCjHQ6imQHLVBYrWJa+EdPkxR0RWM4wMNvHqY4zwNwYvJ0l2UlYGQKCkh1eYB5+sd5MjYqqYUrowAEr5CBH0d+3jZ7hiRO1iKCikRu6GaCdBczwjUzSdYX3pFqhbZsIAZmOleGgadJnOROstY4+xIHSbcrcaaDW9Jax/CDU3cM0RSDYfZApDIFJYQrpfAEGMiEjaZ6fwQ/tgdO50dqr3d3AP+0bnz1TTOVba+hgi1IcZ7HU4vFh2ZYb/gmVD3lat6lAY5XZ9QzDu+ScFO3DtMXDw1YaLfmfz/HKVaFK7XwBGJHiEPmhCVjRLd3UumHXH01WHcTXFtGXKKwBWLDAxBFFoKjhom1Xgp0WBHIWMmXc78nQUy0OFDzZpdDcKz1BORgh1O3CDwgBI/jRMPHI26oAy1WJs0QBbmoi/21gXgnczVXgiD4gfh4j9sUd2ezMxrQBM3AWj0DBILwWFs3T9r3L/xmT2SWjVHEifwUNe+oJXGYK6PAAU8QDwrIineYh1L1c/znKclCirfSDLhIj7vYdsHVcnMjhaVGc03mbS3nTTP/R2A5IDbbUwq6FBbQIwSklSqAt1gQmDTSJV2bmGuPBXgyKIP/5ynPYwe0IocOQwoa8ATkOHXk0AQcQEBjljye1InP41VLZyXxCAmlx5LUZI+j5i17VW7i9ldTmGl5ZWBvSTJX2HrzI5Ck0EG9Ai8TAj0+UAWTEF2Gp1PwtIeZJHxnGCr3po2WdHwAc5I4+I1VAkYJuJX6wAiYl3j8JzCwFkzvUYplMg5PkCZsqVtOyEPwt1x0dYg0x2lEpFyns3fvoggdVArfwxFT0AdRwEtlRFqcFHTUiImX2IKTdH/pRSpuCF5WMnAOw3E84INUB5LTdwwTUgXqmCra5SlXoAEE/9hZVeIGUxB+q1lNvOh+WEhcCXY6L8lgJPU/rjmCsaMDF5AHgPmTFxAFkgAJjtBmExIe+haR1qhYtraOFleD83KcErRdb/BdpqkrqeRjF+UOBUlWn+UGBfUMnDl1trCdLziRiHWEtiiP6elWJ5cD+BhcWqZOzAVcwWg/OElzIdhNPOMGu8mfUfAKkPCjkDAFH6MBgbaGaxhBStlqCoNeooI8g0ZPgJdJfRg1SlcmFjVWo8CbJnRWBEVC76IBE9AC81WHH5mdk8OdRrp8xMN9PHCRZYINv7KWKTo+r9B29ck2wNhDcxej7ad7tolXsfcsdvAupQCYBRUW8nhbP/oKGf/yHlPgc6w2SUXJL9f3f1sXqftmpIE3KkKgA6RQgFtCVvNlIvTlA4OZlU+QB3mQqk+wCKZgC1L3oVO3DWR0XkC3mEpTi7rSBEAgPnN6R2+AcpkWWFdoV5uGZfBJn9ASZe63flnYLUswkNhQCuPAmzzwF1GgCkC6rXmEI4IAlUO1qZ6HKrCWSVEEa0/KkJPwbxgJJeOAPWTEA62qqoxgCq/6DM+wDdtADuQAD/Ewjh4pq/qAnVNnCje1f4UDMFkUnWNCCmz1q9RUpymXN8cYl8faQ99GZeo2o8MqP4Ghm+PQQXnAHGe3rf/5o0OKUMfDf8KUrgCIXUI1JKHYI9D4nNn/oz3KVJBjVQqDOl9PYAoJF7ACW6aciYdAkJiEN0/e1QRu2q5S0gy/ArHAKqz86IjwB5O1o3KwY3d7B6jNgoIasD27qTUPcAF7AKQ+uq2QEJxjUZhxoGFp9ljVKEkGFLckCZosS5E21lQTIlGAoQO8RGy/JrRDW7jTBw88AASHOY3KZ2gaUKUMayUHxwG+KrV0amS7B5/z2YFRaEhy50O357U3ui3K2ASFaqg945/bmrZA2gdAwEsIqSPBJHiuZoYz1nnIB5kz2ImIR5Ke8gdmZEZAkHGMgK/6Oo6GS44Ey5nxkAccEAe1i6ulQgkZ53y6slXnabnkE6ymc5esl4XP/4qsuOe5cimbFstDKVM3YNsM1DqtFoOtkPAKJwsJ83uyfUBHRPoGsYKmv3eN2JhrTXp/zLN5SqSpniIIpqqKybvAA2uHplCYTJm08BSeV+UwrEVGfaB22us1Elu+7gllXGuT6GusNfmixhqjJNMGYiM12tBBYYSoaruoavufvAQbQAC984RAPAezPqfD/ce4S2N8UzQDPIC8DHzEDUx5puBLObyCpVKWZ7lB8RVNwPkGkICeG0wswcqisLN3N9medyeffiRI56RgucMzzNgM7sscfRDDasu6fUBbdOQD7yEEEfid2sg0SoSpk+mCDCmRjBVvzzN5ybu8hrzApsABOf9Sa5IEYhQIqmTiDlNsUH2QxRojsWOcYC+Jfr3ocliYXCxHUneZLYM6Fln6fYgqCayrrT86v60MoPdLIZU6krdqdL1rwHKbuwY6mjryPAqsvEi8vHbICD4gYYr5O+H5bFSDobWgCD4ABFxjycMiCSATvsp6aaE8yvFnwonErAiWpxZbyhxACrXQBJlyMUDqyvG7uj/6Brz0qPIEgYoHVJ44L3LwYWIollKaff1LPK/7y9f5g8JMeQQ70EmsgM7rgLGGT6xSBS1glk5LSzrmKxwlzcPyX3yCUuVLxqJmV3s5un1lrCyzOjpzbGwELz0aw648v31ARgf7x3kswXKrSRb/p0/TWJJAklio5QMAjcQMDJKuqAE43MgreGgTWjXOPI8WvSbfYKpko4/3WJthXMaa68kfzE3F6i4GxRyqi7ZuDKTQowEERCpnVs/GWZJnrZiDd3jDVAVT4MsBXbgG/aHCHA8TAr3ViCrIAwRNYL3kmZJPgDFLTWQ+kE2YlojqxMmNaLXvV5MgvYWPSFhkAcPrTL/byspAGgVkNMtRWa4Ji7sX5p0EnLTynLDEFzzE9Dxj8V2ELNA+PbTc4JW2is9GswqCEB+WY5UV1QRRgMUWXSKr17HbfGWrg27fC4kbbZvge27o8i6EMQU+qs6VLcPufI6yiKDx3JDSC66donmu/7KQThMHQvA875GV9kq4RzzXcW2H5EBHQ82Q+2JBOZY5DvsGg712ehSonByo+HObJuiaJ3yPxerNchOtF1C2icrOlh3DbSbWRIjTPnzT9BaWytlTqyIIaTQbTxCrdjjQBU20ybsNtLW4d/w4TKIIcEgm2PAEexDNSx02ISWMwchNDfbJUg2bnYvVfKPCxNECXf3V6Zy2k4OQk5qgOZV/VASzQkd0olJBU6BGbTuk4vjadD205DAhY01hDb0nkOwwbtCr983UkxPKLXenobuFHhh7mWy1x7Xmh7AErdGfaXuy88u63Hqm+Uc4GZa7mTpUjdthQXNJcZDh71EhscwDPf990CDu09gpzN7glb4nZpPJpn6NOUzgAy5u0U3dAkwGvgF2vjFnwoJ1frbnrDE5rOGmwvBytnU+w+mc2XQMvZdawGaIOAs569PV3cCLv2qU4JPD05yp3gus3tgJD545cUfey84WuczOWVfiBuET5muiJxP7R4j9bYKE3DhJo2huo7WXhYv9tYBB2XYevyfLutHtCJNjx1G5z4D84JqY57KoOHHw1u/R620MpJPDA2RK0HJdeR6evJ5ZpENIL6C3gw9z6ZW71O2QRyyKYFYYc8RIhe/ndh6sfv3o3+UikN5Rsq8O5Nva4Ar9w/+rOAVTXbXcoPn2BkJAx+8BBGerth//4wO2QOXAfMS2QKTfSqIYh5IaBFEVfd8wfkj9yIHtafT56MWhTuPmCy12EK2EgaiYDfJuHHEcgGYjSm+ZSK4vOyp/YO9tuwdWHMMfwwM1/+82L6sDD8QIHLYOI52ixwNRIO3/gAvK8tQAnpNkjGkaf3eyk7UzSUSIYAc5UBoT4hf5vrrnjrbn/p/3ywETh7uNS5KDlq5qKiqT4DzDCz0VotI/mkfVKavE7u+F/IPcgOWWwMiS2SmHhuIRHTGcwwNBv9TfMBZkw6zfju1W9pZzeUPtx3rdTDd1uS2lLEaKUAov3J/0W+4LLt2ZXat+vESSdU8OqfJjBryv+x6pmfjT/+2jeeQDm7nead/h0yfMtxBN+rYKqk/PbzCQXQ4xtcADlRzmvLUsyg3Zxh2+cEnm69fFOg4Qhw6JEiiQ4BIdLTS08KGoFrZmTTRU0BAF0kWMGTVuvAiEBxBKlkKGtCSyZEmSKE+SZHnSpMuUL+NUAcLBhwYfUfpclJSxZ8abeeLpI1rUqL51R4kmVdq0KFOlUJ02faJhisuVWS3F4cADWz2wYcWOJVvW7Fh3EqX9Y9vW7Vu4ceXOpVv33x4NOQQiKliQb1+Ce/sOJhy4oOFDf/8S9puYMeLBiBAhbKGwiUNsmSO2qFBhyiufGEFnHA2pdB8OGv5gdblK6+tYL03Gbv9pKbZISlei1OThA8hOSD858sTrQ9tU5FGTK1/u9BYPDnFkk7y9EoiGWmONmd1+Fmx37WRJ8Xhj1/x59ObfaFiiWDBfyIANCjaMGPJiw/AbH2682PHAxNqgTCENLmsms8xKwUYiiiwKTjSfSntwQkii0IADQWYTqTrqXrotJg5dqk6QP2jygQMOnojijeFe6ak0Sfq4aZHmajxKKhtrXEQDISipzjaVghTiCSa8Ows8I80ahwcecEnvSSjRw8WHFvQD8D7HrPQvv77w+8++LucDkD8AFWtjCx100GAhDXhoohYFMxtHQXdKYfCCKF4cDiPhJLzopquC1BCrWGKSDUj/kyiJI44/rphCCBR9yAk4Cf3kaTQLnyDnRuRwzNFGqDzVh5s1V0MpNjmqcw3IKjhQxJ0kY5U1LEV6UyVKXHN9S5oLWmhjv/n+qq9L/7QU7FguHQssWWb3WoLANt0kBc5xxslMG2yszawJHirA01KeSNsTkj4uNPW1rAzlUNErSqRJCCBq8g2nKBwMl89xyeVBA1OmEvXTpTgFGKpSNAAiw5RGElSkKXwoctaykJzVnVo16MMcXTOG0pyq7PjvYzFBHrPMx46NzOSTwxzMDjXbZMKhOLOVU8E5s7WTM8800nNc4TC6CSTWWPqREkXjuOKNKqaIN16bgLhJUqd1Ai5f/wo1uu4JeJr7FymAuzbKGzc0qAImsoOMwwevjoRYLInPGq+itTSW2652rluCzCzlA3awwPwbM9kx+XIP5fyebRMzObEpRVvF3YGI8Tv36NlPVTCqXCMXL5JRbCB9XKnoEqegaekZTnTat5yimGJqCi+/qFIITfupXB5s8dqpUHPMPTl4zEUUXURbbQLWtYv3rpl9gYh7bubjKvduMMXcEjBh9QZ8WLyXDVYwOxRy46Gaw8cG22xrnrkJzvCUnaNXWMzIdZ0t9EE6kdpNWgh4l25a0pyA2GP1NzjiJ+2LXWjuVbWeQSIoAlvO1pKDIwdO5RjQod+GSnIb2qDkOqSY1f8oxjGKZoxCTuMw3ljGURVINE+Fb1GFBnTgHu1J7z9WmiGWQha9kWEvcDlo04ESJzPFWWtxMnsGgqriLXttRBJvGM3kSCMJRyjQKjNZmrz4lzqdOMJ97SsNuDbiJy9mxEI8OMbtzKi7ptjCN7VJl0v+0CYShkcs7qiFHdzQgn0tpAVNYMIoktS2sdTCYN9YYSFXsRAaMoZMfvMbsACHMkUORkBqaoEbYoaNItpMW5uM05zQ15kp6AxcYcxIuZpmk5xMYQ99cN8BDcgR+CWwRZhDDQ8YobUzci2XRskDBwIFPNkIgQduIF5Z3DEKJjBhTQaTF4pswgM/giWaa3MHkyb/UcgVfqMqvzKZ4AhXsmMlsj/jzFs4J5OQNjWBFHMSorZK4bghDrGdC5rIBfYQnFHKkkIJtJBNklg1cekTX+JSouUidJE33OQJ2/AX7poSwV3qUh958EGPLtihQ52NB9khizvGwQQdMMkmRPhDhkQSBxI5TQNuQCYfmQDIs1BMA47ApgrNAYQW3E1MMSTI9IxVPZOJAqg83V6AlsCmAsHph9WiE82wZS3yMfWT6guXF3dWQIwkNImW8uJoLnc5GL3vdWMdKFA08IRnMLBGotrdQ936FOQwggNAK9sFL1iFAsUxLKOoBQ/wiBMh/MFQMGnVhXzTlSZ4cFakqEg7asq8/3ZURQdMaMPgpjeyG2ZWWXt7ZE8nuZBhkuJA7BwfgjapGQQNEUEMqgj8XikhScD2Iq6T7aUOuDOB8iSKPUvgADUShd7YLqJmhKhTyCGpsQ02JoLwiCLCgo1R6EAiF5rCFQZriVW58VFV+MMfhLAmlsoKG73B2GPlhovUXGBNOsiBx/4GssV4ibOF+SbJ2pCmNbmpGZdkqs2uBRHyYVJmzSAfg3JGVt9SzTQKZl++XAs7BgcHLxoQLi6He2FGrPFUQQpJLLLApFqMgxRMgM6FgFDSmChsJRk8VG5u4oavhAWmS9IAIc2bMWlwYAIUaEAEJrCmyixhC8WaIWa7mTL5iv8MEfcl0DAf8s4DqZaT8xyiD+O5IB48wJ4KlmVuJ0TKPYF5T/oETS1v2bXidsprojouB6pQqKz8aArpzONcqzCJoNmVjViJydk0kEwPTrOjbnjCKm6sq2+caAIDEIAACoCACFDgxwtZQmVxGE4Zfiw+8KVMtL7nQ2uRNnw0I235FFREazWjTlPNE4xQwafSuJas+GQfbwta1szdC0ZdNOiEZjQU5lgYrg5dq7AnOld0eY4SNFmTnfGMrh/9bs+/+8MzmeQGQMc4LGnxwfIO/aSbXoDHjSa3AAbQ4wlwQL0taC+R+6bZdxd1WW3oXpMRl6DTPvWHMpMygoK4LQ30KpT/fBKggsM6ZsyNdWeyJqgrX2nWJwC7gcRV8wObs40TnYvFMGFUHKbdOWD+LkQl+YPSnGZtjm57X97+9nnaMQUULaDcM3f0AHy8zBZQtg3Nwlume+qXThfo3qb1r3/nhC0C7xtBqNbMnaIA4QUX0Muv0+fUERzhhGPkCRxowqbUemFQmbGXQDhU2VmjoWmTZFW1SRifBWE0HzxB0PUYx5rK23KXQ0IDE5B5owvgd5rX/ObqZa8duNnz+hLrWQQykL8Xp41+L+608bRWERdH+QTdsTMWqfprZxlmBgs0wbP2U0+23gSGXjjNYD/KMTQwg3MJSsUYfYmhOtzioEUbJkBo/0IzxjJeH9wd73Zp4QQiAHjkOzr5jm7AAiagXhfqwA6SUdngIiOgyqzJQOYrNeNKbfQRdhKIUM2MMr018LLm60XCEaiLmHjQ2X4R4Q6X0BhTb3G1/qutRln916nCAyKgveoYmrM7iVVBlQ/5neyKs5SIBUGYgd77PR6IAuEbvrnAhb07vsDbQOUjtwKwuUlbCOk7POzRjyVDiPxSJx8CIiL6N337N3c6rfGxslRTHDfQAW+5J0igrSdSONFgEQiLrc9rEfaLOh68ugmRnzJivTPqv4BRimewiThIwIXpEOpQuzzLPQ7TPZQoEN8TC+TpA8eyQLrIsQmYgb/zwHJLw/8O5EABaL50C7g0aY/M4ov7apmVUqqZuRbzGb840QbGYbql28Mpczqs47JbczirO8SLAC4eSCv/Y0KJmjj+q5F4aAI3a7sqrCuygbOFKcDaCxJB6AptAwtBigIypItE4wAKYLQ2fEU2jMUOjEVIowCc04EloAP/aAMmgJaNGi0YhEHVkifKwzzLa6cYtBkS2zwh3IhY4hlGlL+s44gi/K2buIU1k0QmtAWbMCmVUBVgUjZOdI3Z2zgqtIRJgKOxIIUKEMNUjAtziAIdc8U1VMPlY8N6LLcBAMFJawFcbAMmW5MJ+DEeIIWZCTVSS0hTGz+G1KTEOTrGWZD0cRAhlKX/SrFI3QorXos/z9unjQyoV4gCtKkwYpvESHTCkjSjeICON7M9EbkoUPyRBeRC2DiJOFgTvQILUriAPnhHuGiHPriARVu+RjuBwCuBmcNHDiwAOEwNhVAIHVuAAigAW+QBeSK6ffM+fPs31QKifuPKsBE4MBIN4YAfryKo0ZuQ2Hq/Waua2oI1MbqJM6vEJnyrYUvJYLNLqbAFnKigHzlHA9ywTywbFlvAb+QKHsjJelAEDUghn3QLvZuABnjFNpTFpMzHNFRKv6vFC6EAqSS3AfgxRYiTpDu6mXmqUkA6QFwq0xQfQnwq9NGyf8K63mLERUTEPUiNftHGgbmd4uKG/6oAmtmrK5fURE/cxG+MiT9Am2ICCyZ4glt5TLaAhKi0R8uszHvcwMykuUcbAMtsgNQYzRrMliirlgSBJ23JpMgzT2y5ynjSvIoAKIeLRqzKl7eMumbMiNzkARrhTf/0Gm04kSlIsTj7xsEcOdz7nRbjiiZQTEXwASeRTvTigOPTzOS7znxEPgy10FdcgAsoSH/jPqMDxlEbB9Rkwe7rSvPzjIOLOtuiNbHCnGp0UdxKvxbtQdTQgEXImopjIJR8wrukRDMyBd+5PU4Mko3DKM/Jwg6TA9moNh5wLrFQpgj1yRzTgAjAxzQ0ysDjUnv0UsrMUOwMvAhokzhhuvY0z/+tbEjJW9N5cid68papOcte05m25Mj5G8v6pEaM6IN9iTi7zEu9DNTexMvmWAQUiT0LOokM0j0E1YolVVAFnTMeeJh6qCYNYDkLvCkNoAAL3U7kCwB7FNMC4FIOXUoPtMUmoBnSZEGm60PXfCrTlJkAs5YnmEj5BChZ8y0nglE+LaufSLCNzNE84FH//NH9awpvIAdjBVKTJApy2DogmEI+K0BNVFCMAszbk4PsWja0eRgas7F3XI9WHNUuzVCjVEowLTek1FCiRL4BoIA9atM0dbxNgrxQSy2tFDB8a89lpCqsErOsulG4HBeoOyAC2pyF+k/ejIdtuAVGWIQnyIP/RbgFbmgKeIiHeOCGbTiGW7gFW8iDNYmCEBAsJA3FkuhWDstC4nwNKFWEl2kTQ3vHdoiCC5jMC3VXUaXMnZ1Fd73OT12+BvgxUmhVTpIZ7uM+KWPVg4SIzAgbULrPhnPRXFW/rGNLaCSX1NAUY5PE/vMGeLCFPXgCbmGSm+iNJogCU7AFU2CEPciDPOABsp3bNnkC6OgKX7pWAq1CKmy7vb1Cm1SoZXqCN5CGMRw+c+hUenxXoCVKDOVOzBxVNlyANjHIYlRT1JwyfstXh5wn5MHBLata17E10rsIVJClgtvIGf2DMEqos7q/SAxSiUpWQqXLopA4fdiGgskvH7in/2Aoh2hwhF7al5vgXYWKgj1gBEd4hWiIBm8IBpG0qGi7jewawMGa3sCUVNZ4u9A5kd6YAk29MQykAHNttHZ1QzENvMb9UjekXKs8rfR0Whak1aVKzflFSKe7qlyTv54ouFeShNNdny9aIjDTEz1R2OPAP4qz3aLwhngwBdg1CuB8AkY4BluoCh9ghFfwBnZgh3744A9mB294hT0oYUdABVXwBg4uB3v44BYG4X7wBt+AVGut4ZcwTK1IUi5cNqfhgSmwQL3rO3I7Xy2VXO0sXws930br2RNQSqpsk4eo1zUVsGEkvzbNjEzKJIBDIqrZX6zFuibq4jALoOt4RIblnf9jiFiyXQRvUIp4qIoPXaY9KAcY7ocXfmEQ9uA6huE7BuFyqCjZ4BBtBbnjJFDDNKnjTBTWaBUfENdDq1kNwNkiHuJRJWJ3jVwjts4x/bsC+DFLekia2cOFZCpgNDqm9SSc+YyHE+M9pU1nHI6zXUIGbthtCFkfaIKyveVSuIVj8Dp9YAQN2INgcIQneIJg0GMXTmY7VuY+XuYWfuZljmENm44cTtCXNDsrPFI4Y4nriM5vMwcdm2TIzVlzBVVzbWL1vUyaG4DUcIPy3FxtaIY3JbquZCfNZa08mdr9zbWDK8L7BA2MVESfaROSDDvbLa54OAZTKGa0QZsocIRoQIX/4mWSMrqFs6LjfmAHjGZmEIbmaP7oj8bjD/7jQElA3WvA6zoUFgNMQlGXkoA5d/w2DJyBd61pmgNTJfZAMHXi7MRkBKhc1dK3FewvLP6hTELI8GO1+RS9aRxCs3wQ0GCinghgqvXe3WyobHzCZb0FiuoNJnkCYS4HPbYHZEAFVHAEJmGEJvCBaNjjkH7rjo7raMZjaC6HubouIwXFVVlA5cqzRN7Eagu+lgviDNXMv0vX8k3fDlxX9K3pAnDfJ5unGTQtfP03y8ZKI6onHdTTCPNfgqXPgeaBq/ZPbUhjifXqYobojQbpDw4GtNEAVKDrZIZm2XbhO+5j3I7mP7Yo/5Tt7dvbW5jErhX7RKF5DUE4kfAtpJq9WXIeU1J17jD1Wel+3DYs0/dNHKQr6scB5fhNOgFDZVCyU7S806o9RC/bHB/oT4O2kY0VWzdgErPdg1cQaz6e67gOBosZa46ebWe27/7e7xeWYbIb7k7s7UB2yZZlVOAuiZvkgQqsKXPwgQkIWiMW5+WzZFgkSnTeZDWkynnVV8uuYj7kSiqzFnymkDCinFlzHbDiyNGlWhctM3lcE6HoUSElioRmhLiF77iD6HUQ6frO7Q/2BowWcv+G62Y+8mUuh3gJiZlMiVVwUpqMtsFawOo9FEEQZEsI7MM1r/FNPgxv7HRO7Oi2af8BYOxGawB5HU3WDOXwk18ZlEFWC+Oqqs3yRiBY0ogXD44+mPE8Kuj+8xQHRoWufpre/V1k5miRBnIgZ+3aTnJIj2uP7ofdTmlpE0yVbWlQHExOrAIfiOkbI+xzBrwNv2RzHvNxLvVL3lnNBM8WEE/tjl/KvmwSzzwNeIAWQD8wxjWqYbjh2Lq6fYYnuIDRVmCMVegdN9snQAVkYIfatm8jp23+lnaPbuZJp+1I74domGaU/bhrXbuXdHIC7/bfqQKebDkLkeTCHmd1vUxQfffE5ukMbzT3LVpRrhkCw3cgAkTVqpPVmkj9VSIx65OmbmVIyM1gz5o8uAD1RiN9cFj/rn7t3jh0+q5jalf0/pb2t752Ib94Zf7vcngCIKiCDltw4NHbkDPOQak9IfABSYiLdoh5c2gHc/gGm5cGR06PRJtwJH5uwDv1nnfcnlZnpaTcPLxih/RK0nqneKqTOdG8b3m4/AS9WSPdHQRWzSneJ7AFiduRuRRUo4AHhX6C126TPVBtt752uc72PdZ4SQdwi1/7j2aHPaio6/pLJf3La+5buzrSFpNHd6R5aVCFPo8XkUQd1Hlw81gFHsjScUZ19EXsmUNzxiX6olTnoYXi01zI72ZI+N1igCVvfOHn+YxxaRyrzTkrW2hWfTAF/sRd5ABbU8gDbmmTs3IERG/7/4+Ha5B+dN5/9t6H+/22Y1SYqwoqeWijhFQpUJTv+9rTe5fe8hmwmCmQx0g5OcQvHZu4Jih5hQsQYgqffOWTfOm2x50t9XXFx5wuN1Zf56rMA2C8yjWNZwSp7MzTgQuoAMm5+oEC6DsFCEmQBhKEJLCgQYQJB0rq40ODBh6myOmraFGfLR9PLupbx1FfvGOmFHHgoeHhHkfR2Nnr5/Kly5b9ZMZ8SfNmzZwyd9qcCROnT509f/YL5oPDH0uWKMVS6tRpU0pPpU592tSqU6lXsS6FmtVpFSAcjgKJUuVKnLSC4ghaS6mKBkft/tGta/cu3XZRNDQQ4PfvCb8FAAv2G//gL+LEiEskHvzXMWTFjR9LdiygwAKITUphwzaus2fOn8dx7kzaM7Zm2jwz0VDhQhSFsmcXfFWbtiTbBB0dPVmK20eLtng8iRfcGzxTe3iYjOjDUbBy7GDWbMlzpvWg2GPyzB70uvft2b2T9zneZ7SjVZ4qpSqV6tenq6q6j9/+flf4XffvpzRlShVpecVee0eZgxeCdpnjwwSDRXYZZYcVBiGFD1I4IYaIWVYhhidYZuGHDXCgwWadlfIZaquFhiKKJ2LDWROuVTCFbrTJViNBB+Vo40BRjMjDIhQFZ9ExERlnETzHMLJIRBD5EAUqK9HU03nmaVfllVZ+Z2V5OAH/BV51L5XzhAZTvIcfVVfVZ59+90VlH5z4xbemJWpm9aZSU2igSoJ94sJDBB8qtuGGGlKWoaCHbshYho1eWKhfA0wAESknqhYapig+s2Jn7pTSRAuvRSGQbaQyVKMqOxKU6kA4QqIbq6++AUkUJgG5zZAcbQMRcNzYslxzGkEnHXVaApVTlsgeC6ayQm357HU2sbMHB0DEUSdXBF715lZ1tskeU3cSGK5T82FLYJzsNZUFD1HM1SdekGiwwKCIHnrhZPZKZmi9AjDqqKKPRQCRIs2kZpppLpo4ToufxViBBrEx5MhCqirkKkOtvpHbG7q9scdDGuRxTK4fkRPRIk80/8eDD3tEyVKx0A7VbLLlOfvlzFPKnHNQwWjAQRxbwadVe3ai2ya5S3WrlRzkmjsgf0rHGUua/Yn1Dbx3SeNjX34Ftm9l+X4NNr8WFjZ22IuRjRkHLfBQ2qaXaooaaAx/GipsOGKs20EeYzybQA5dIPIx8JT8ETcxmiRsdNMRZWyYVUr+7HaQ03we5kLZHNQ6PvCwHntP6ze0UlSXzh+dUVeFpupJV00n6ZboKUnWdH3jkAYURJaoh4ARWnbAifb76ISFOhgwvg1Q4LYiChuMjTYGu6iNwtg8PCNtf1tc8WwgQ/SELUce7hGSeUT8ss5dhqnllupzSaXm7y8rc+beBf/DwwyT3PetnOCyuXT/8jMu/6GOTQZ0Shw48IR3JcgckDgKBxZwPH4RT0IYEt6/7lWAr00wX8Zz1O8wNAAKEOx5pzFhZ5rBoru9Zg86yhgMXwW4VzgiN6ciiENG1ITwHa4jweHGE54QjWKFZ0pGpA6ztKPEaG1ufs2KVrKCwo4ncGAK2Rqa0LglB3RBbSvz2YqawNiVbqnrK2Q8ndIEAQQNSKOBD+QABwI1vDluCG1hs+O9AEZBwnwwbZjRTGlQ9KLPrKZ6ZBJVQWJFEL7tSHsFmULIJCK+HgYHHnnwwRAv56z4RRFnO2PiUJx4xE6+BBljuVYBm/I01U0ljKw7Wrr/YIknVmKLXPqByxvw0g5V+OAoERgA8rzGIcXgsY+HCkyh0MaoEBrKgvvKoIZEpAEdiIYz2kCRwVYIKkS+4oU8spFAHBGFkD3BFIYb3+G44QYfeCNy9INcd+A3uZ3JD572BFP99qABIYyOi+JKXT/js8oCCpCg4hrjmeAUC0FYYhIKPFBeVAGEo1AAmABjZvEKkyjh4etBffzdRyk0tg4iZoQQWYQKD6aw6l2vDzfiXqsupiNxktOclKQkPJ6ASfbFs2Y346myemoPocaPWUkMTz+88bOkeIuA7xGaVZBWFQBWjYB2gmoAV8cmIWgAF/9oBy7GmbuuQQpEHsyjMfWF/9bK4HGYhTlMSAUzsBaUyDSnsRtptgkbby6yYn3jK61GJDIe3pSS8XhCEzJJs/ZpkmehfCzlkLXEnzJWc4yoVptmea6ohUsOURHj6RgK2v2YDqtNkYO5zpg6pQxUKW/gQB9w0YcRUaBrFEyrHiWTQdwaE1IX6h0xyZavyzRgUnU1jYpQdEjYyDCmfHVkH/YSkSc8Y5I9JF9wsJvTnS52lOsTJeWONdl4GlWyoAxKOR7yhjlFVVsEdOoA5STV976SjKYrGlTiAJERzaABHA3uoIqpwX351rf9wu2ALwgwSU1zES9azWlCo1eJ7YhiMZVN4HrDgzxUl5LY/ciHL8KNPP9cABk6UV9PGTs5fH6XnjZjsYpr4ggNAIGh9rlvf7Iau1d+i2iZbZ2bXtna/V1hjRqYQAOcmVGP5hFfCg6mW3fXKA7qi5n/ZXIBSKgBN4CGU9aTkUthur2M7YFMKDuGdQtbWB9UIBiftOf7Jms596G4xeAZD3lzwoh91sdorCRdmtzDLW0lFJaxI1q6Dt2eP6wRjhJcctoS7BhkrlWtBkae2TKq1o4O9zKZiUgzAilhvMVGb3y1ISSo9aNFbOOc6FQzR+LRhAuo4olEfBzO0rdJn/Kanua9dUx8BgQ00tISX+yiP82oH6wiekBYbS+xz0WJIkOEAnJcG4GFa+C2CoD/25GhdGIELFwnWwa4uS1uRGpRPWwcMmLckwTFUC0rsaIMV9f1cA+fUAETr6+yTszS5lr868YC/HE7KwcPgKA/Od0XxwYlLX6TjR8/iy6A4XrdnZrG6IdM4NEHngy41XbRkf7lXx8C99iUvNHhWgaa2mZ5pEjIgVFYM6+krpH23kDvctob1hcJ8c8tgt14PMTNSJxZFMML7CL+FLyknLOy0qsBVEo82qWbb5ADfcXNspZAqU02VQTB6BF1HKMgB5uVE3zRbE+I2xnydtvd2u05CmAAA+OAG2oBmhg9oAVTGPNAdN4cnvu88B+R9QWMnjnxwHnFlnszjMtL1HrOZMbr/7k4Qddkrh0HlLM5fi+iOw+7sR/Z4+TWNGU4WmC2oz71bGeypjOd6b/AddML+BEpXsQDUssUEtE1CQeaMJHCAt3wFjlsBWrNdC/F2ZNMbz53/E15Ohc1KKigsXubvePQadWgs1zt5x9eJ7HPgOymD+YHMQrSyZD0to0y23+bvCjgyV14llFeRJoQowu00CC6ecUbOERNpVl23ZvhPcEF3IKtSRZkndfjedco6ZpjQWDMuIQ39FJC9RjXNVXXcUW3bAu6fGAHuhexRQW1OVpZvZxwuZ1fuBz9jRvd6VanxV+kCdO+mBREQAQiPZKZEcczCInx+RCICR0lISAqTCD8NP9gdzXdAj6g0lHfdYwJUhAb/3BguUDbflSc58kX971SfjDaz5SdCvoLYRBPlLVgDZINuMGey63cHsFdyeVRyIEUuomMyvDfqAwE7pxEHhBWEBZe8cVDHlTAK7jT9L2ZIUYe9MVYnnESUS0H6ASZ1AAU6HHh6nCeV2xfVpBeBJkVhNif2sGcRtXLBC0Tp73fgFHZk8Hek4kihdjd99iCJblG3kDCFJSED/QhARbgHxaWEcrTYwlVnjnfJlEfUB0iE1aeD/DTFgKZF8bXGEEFfPgZnWxee1DCH5Rf6aVgbukR/GHb6tWg6lGQM3HjHoUURyFTBIwIB9iUIGpA3/0d7lD/1y76XPHB2oeR2BEqEa+J1xI6IPv0I2QpYTG6RHr4gCA8WytlCxgJWrZEjZ+dkQhioxCYH4KdTf3lkQu2og0ORlttmyt2GhqKZG+hnQAEgIiMSB70nCDywGs8yXQ9A77xYsnc400hYCFSVq8hlT/CmMAJJCK6j0+klw9QnbSRkSZWoZ+x1xVGY+v8QUX+jH+d40hiWyiSYRnOIO3Jn9eYncg52Sm+4duJpEldAPhM0mG55OBMly304pDYpBAS4ZCQCSp0yU7kmvwwn+M13uSV10D21LR8DlP2jy31z30V2n0NGf+MDidKEA2e3uxNmlZyiFeGpRuqXUlC2Te63mPc/x5EMAIQIgmTvAYPMELhvJpbGp/57OM8vRgSMl/BQR0jfkf9xJiW8IaZwNLVoYsWil58uY7FkZ4YSppImqGhxNVYCoonGifynICSfSLdXdkLQog0iUzPxZr5XEALtGWuwKVcfmdNcoR36gMj+EBdDpwnUVYSBaR3PR3SJd3zwUQwUFFCap0Vkta3iGAITiOcrBJFhuH5rc1HhltxgiVYPqdksOAwpdwedaSGoA3aXFpiDEAHjIgP+OHh5YFayqQ9pmZ3ficj8MArpCcpQdFfHl0wPt3yIWGKzgQq+ECNxVKzZSJ8aVYH6scqUQ3pWRsoGqh0UogLSmilpR2EqCLrWf+aVf6XyS3G7V1AaYZmcKRl392Ch86k4ZkCDziCdbDYip7YO2GOUC7eTXBp42mHN1AR6ATUYk7caqnpQ2bFFXCVo1lUWKJf7A3pWS0nkaIeK24m8cweklJIA0CAZpBMD8XDaF4Ad1ZpRYynzy2CeQJjPdVmUP7a5NGmT2FJI2bHOuyFFR2UtO1PuljjVFnimeioWGxjdHJkg7oioE6aOXZjk7lfVoYQK9bpCKzjSZhCPWKnBminoQYdeHpn8TkqJYXoeUqgBCKdX56XayqdryVhezoCy1xL0ijUm+YnxkHNgMQpOwYoNw5oVY5rZdrgZSjogw6P7M0qScLgBqHVAhD/qnWiJkho6Gssaoca3ofta66U5x5EgzewA0vMD2z6ZUHKWXqup6Y6Yj8gw1EwlSUqJMadUVZl3o563LoihoR4ZKuyq+9UJZF6pGS24uoZ6YSY4pQxJ9k0QIVqAD2+5ZCkZQVUgKEaa1yCp4eGWCmEjEY8ASO8QjB4QzkMFQU61q6J1781VnxC0ZSMCQ8IgWiRIBcuZRYim7FhBUV+q0UZGHIiKHS+Xgx6LFqx4EYKBrp6rMlChq6+DXD4HKK6hgbga3j+oc0OyTbYQsqYGc+yTEoEA8AObATapl2uQzkIbZ0tHhMqYuXR2ML1B9V4FsRZHHxR4qJF5XDaqsde5nGi/yFyyt2AxV/LnSIosuJucUjtXUgJLMAMQMRKGt87zmywDqG+MmqswcM2PIMp5EETmJkOek7LuEzQlsM68GSLtgQ7oALIsEyWlsM9FW8i2ub9aMAVWCKcaOBVSZx+COe18RYfGSfmtioNXiaCge5VciW7FtgAQICF3kKvHqq9xi3tyq783iysqVNE8IAbuEGMNMlJREQU7AEjBAMylAOxUKA9IIM+NQlz8MAeEK8mMe1ioddDfCq3bmHDdd4kdqCaCGeAVprYhu1wBSnd2dFFim1lxmqsjkCTQkQpzO3NfpjM0qx4zjDx0a53boOG8kATjEM9uAPDNEMtKEL+LnAOfv/PEwBvNAgv0bpEOfBGRJCCwbgDKZiEYukaliBsi/bDtPwMJcxXjlodFzkcATXmngIYBS2pMmGkhOKWKmbsGY7wHJFcgpJbvP5MB3RARORB+x7O20KM3OZrDdNryXCDKTSBSSiCO9SDIi/yIvtwapCCIigCETupkwSRI6ACMqACmeAvDzOyGzCw0IZyKMOMpLrmEVmHz0xhxGUeU2rFfF2rJXBwj1IGyvqpZWysVo4jlFHl8Czpn9rpN25mATSANs7ACKzADYRASTxB2xbeO2onlQLyh8ZvRXADIxhyujGyNm+zIifyZzQDJH/y/gYLiTQDN1tPL+mUOvdSy6CCN0D/4aSa6QT307IZVOhpFdLIMmaCEKtqrlfu6fei4hqb72OmlWXkKgdMAAd8ADLfgEOXwDL3XN225GtwqAFS83iSDzcsAjbzgCJgAzeHtEh382fUAiTrHyl0Mjcrgv7psA63dHNEwTosIQPixLRcgLWAcbFtFtKA4NX9Z0KbnpDucmKUbYGeXlZ2rLmyHteOm5Kq6wIotAZ0wAk4tFU7dAqsrg9E8/wenspUQAtEM9DV7UXjbA+RQ4gu8EePNFu3dTeztQ8zDMPENTbUwifzQF3+21EtrgZArHx9oI+VkU4vRRakqrXRaVPHoXC1Ia2WjRzPnWHEnavOobiFnByj3GRG/xMcaYAxX7Vn30AK4LEkmXWjXkQfKyo1p6ZGL8ICezRIuzVsx7ZsK/InP0E7zWYjlkMCV4GN4ehgApoXxoH+YGOjTcAvuZ+e3ikqIjVAjyKm8TKGnC5B87L6PUauHhkHhEAKfPZnr8AHnBSU8rH5wC7dCmsQhhhat/ZazzZ7t3dIjwPLREEwOA7iMlE0AF9uQpwGCja4wEcc+MAMAAh2LwCdHnW5xtX4gq+6vmC5fm1Geq8HC4AKTwoHUDV3X/gNjMCIMHNhUTT8mjfOZnSIFxYysLZaq7R7p7iKN8Pi7MFtW3GYrMOMVQvEUm1VrUnSTMIUAAEQCMF/pOp+VVRxhv8urZawMJUbUs/qpSG5OMrqBx+1pyk0BxhzQ2M4d0M0c8Qu/R7fHcpwageyRWxDWuuwIqC4ip+5e2ODJBMH8+LaUMGEbp9EFVRhGf0YuMSBWMARD8AREBCBIBABREQAdIMlHj32WZ1kYpQjZH+cgWum27WxVRqoyREzHC30dlu5lWd1RJiCYY3mh8PslwdHibd2SqO5qaN5LcSIm3nHOiDwE7R5S8xYTouqKwNZF1OCZ916WvwBO15BFvz6rw8CJmDCFRzZkrOfYeiy5w5TpuEyx+aLLzd4ZH9bAITj1y6nhuQqhXdACWC6t9/ACuAxBzBCmsHweHt5eeNjrIk5qZv/+am/O3tPsUzHRDmgQhQEUcs4jjfseUJKrjSiTrVUAVTmOQRxgCAMO8InfCE4mnKHXKAud2Jfe5FDtxuS1C1z5mOKrqcR6pQf87d/fAh8TzNH6ftyJ792NU3ScK4cQw4zR6nDO8y79zgY8kogcC+xDDbntT5F4m4CEFdAUqX3xn4JgRwkvNEPO1zozjFtpfnOMb6kLQweqViaccdCipGi7FeWFIPMwAdc+sd/vIaTiJab9lejuzSn/MoDC4m8fMy3PXtLskbYShN8tDukugYEwyvQGNUN2Qbmh1hMFBz5uhrIwSBcwtEf/SDQ1ggkuqEo6K2aLFZSRoQqdoekbGMP/3QaymDaNMDPjMDXf/5Dry4PcHWsefoffzl2eQMOyz3bm7oxuL2KW49a10IiLzIphIwGpOkB2adS8PoMDIIcVEEWHD7xJ7wazMAFdJxI4vJvLXiSLzqil3EoWr3md+WhqzFTQ3YBrOMMVDnof3xoRwS5ZygP8N/Yl7UzH0MpMMfau7t7vz43w78iyz/sh7Q75O+JbLOa56DBizEHAgQlIn8oWTJYkBIQDkQwNXT4EGJEh4OEaOAQoYSAAgI4auy40eNHjiBBjux4sqTHACZDsjxpMiXLkhtJyhS5UuRLly9p5mxZgIKGDzeIFjV6FGlSpSs+cNCQB946fVP1xcujof+CBltUp0ql6pVr2K5iyU6Nd6wJDw08mpByVw9uXLlz6cI1Vhdv3btx987tmxcwXXdv5bojlXatBg1TDBpcZalgY8hCfHCoQunPlCpAgFQeJFFiNdANL4XwoQHCAJcxfaaMWXMnbJ8eZe/keXv2TJQwd/fEfXuAxRFKiRc3HsLpE21c4z3hUaHCM31gy06vXpb61GN5eHRvUmtcYPHjyZf3a76uu2aKuvPwAQkXEA1VJEuOTInyaYsc+HOozHC00USTSI0ZLvBhAdZYykgnAU7YrcEIf3tQwpQerK2lDCVkkCMKJYTwNwEWmGCGE4w7EcWiRnCqiVuosuq5C7a6jsb/sLL7Kh5G1GLLLfR8/JG8v4CsZxxS3NBABx/6wKWdf8x5goM4LHnMoFjso2wGIgRxioMrvMwiCzkCxGTAMR8ahAiLIihAtwbbfG212HSqjcOccHLQNjdtmvMkBlnjsDaQOtBghhQNPfGEGTTwwZR4qrrqghZcrJGsG6vTpom12iJsSLs6HU/IwP4KNS53sGGivSckoeafVv+RxqJJGosMMkomoQwIAAu5QkwzfR3zCv4mGEFD2dqcTQBAW4tTzmMFuBNCkPzUU85oP3RtAg4aOJRb4lYYlIdFuIGxggukw45SGr2xpT1SwvsUVHjl9RSuUZpJq4n3VmnS1X9W2cMi/1oRigMIITrjIItfHypTYYnkkG+CBUKCk1oKKc6zWg172xPjiX9z7eOQ6gRpAP6G6xblo5hyapFnnKtAUrEsvW7mba7iwQ1s5p2X1J3nMpUJN9yLQhVz+nW1nT34WyyOKqYAQjPOOgMi4YatbohhiNB0igJiQfx6I2g19lDkD3e70OxkraWWz6/b1qkBQlNImW6jVlzrCazMTXdmmbXzgUdOgeyZr7wI9xmvUWrB9wlIvuH36Fbb6cO/pfWzyAci5Bjks1+zvjrAYDmAoAGd0A6x2J3qzGmj008S+6e01Q7JYtssxHDBjiLgoNC6fb+hBEUVy2rGvv2ukZy0FEG8U/9SRzW8vHGaYYI9JXExOvKjJ+dAjSsMFoKIYHkIAfTyI/q8ITkUvWja2FePfdn4O4LWWGZVqj1j1kA+tgCyeaLAB9v6ne9OMKgWlGtG6VLgVG7RHZ3t7HDMq0fP9uKOUViwGaMImg6aQLTHZS971PDPZzbnEDlUzXyhOd/VLpGmCaTmbRxDVqDWxr+O4C9DK1GQs0B2LY4EoAADGEEDGlCS4HCgBAP8XQpmMAGYHYNGxrNOWeCxhyY0QXAQlGBgLqi4ZpCCCTpQxBW7kwcfOGJfIARhO6KgAQClEGsrhONosuCDCQTQdh8amez6J7uXQMt/FFMQTzyEw5QMYAH8uQD/B0g0gI00gHcrUOLvOnABBNpogVyx1DacszzzRHCLghnFOEahiDGyhzsceEIUnvCEPkjiFav4BvbUCEJI8AAInVNYmdDnuTk+bAIaWFOEpDUbD/VQfzlpH/w6hqe3tS6GGipBMJ2SLQ4sMgILMFAHJknJa1YAinzL5FRMkZZmDAmUculLOtODDQ0yIgpTWGUfotAHSKgCF9czB+Rq2U9VVAaFcxQoaHqJiUtUgT8zUM3sbGgSnPSQdfLjiLJmyBv7IVOGHjlAtkJwghSsoASDski2BNhNulWSeOOcIqWak5Ys0oWdMEUP4SyYFiD04Q3wWYU09snPfv5UcqpYVEAH/1rUhmWhP0X0Yx4rWqGQ5QZEg3SW/QSgqKEcpQQf6IBW52bSlK1gd9AJp6WkiC6qcNIHTHhpKMsjpFosakkfBOpcQagK/xB1TAXdpa/0OppBKESYb8poS/bIJ9dh7E9uQ8lhUfeRAoyIA1316mQ7wIGUYlKlZEELDzzJ1nklQgN98CldSfuPdryCP3iFSF8DlLW+9vJzeiUCfyhQug459UNkY43YLoastp1AqsScaAFGoM2lXXWylJ2AJcNZI7J+JSzxaCDO1kovz05wPIrQACRK211X4YI/cSCo+Vhr1NFsySIJepZLVrdMwn4Eh6m77XzbpFvhRlQjxY3AchVDov8PSDa5Jh3UZTNbHW7czA3V/WThQskEH0jDu91th0JU27Dy5tW8ZxICf4YJUWZOdb1NDYkOn5mhmvT2sR1YrlNmQIEQlADAAfZqWMGZybLeIlNtQad4KAgkd/CAA9+IcGm/4QMfXCLDSYZjCBQzA9vK98Mb2xNFl+XhxvaxIwOoLKFm8IESmEjGYf6WJbVSnbKK5cBrydl1eWwebCRptEOuJSTcWL4LKxl9epXDNTmgXt/6sLGm01iIMETDEQRzBiOIcZjDrGKxjgXS48TxWkqhYOgNDl6nCq2cSdsHDeAVtmZi7Z0XJtBCbFgDHVgooeP7Z/jxViT+u+FSG7DIDkj/ktG5LkplCZxZqRxYLWsGTEwlKKS7MCEtPlAFp+c6OQ1cQcml3qvV7jwIp1zAyVAOscesZUimwg8kJGaoTCJgkQ/gWte6LjfMJmVjrtjCOTzo0YJFFUpTsYUHU4Aws+f6zzdGu7UAj4gcKrKWRfo5dvWTH4h9gxuG62QA6ztZunX9LSfuzczQRfMivPNANs9Lg4ADApP4TVdYASHgdp4jqeXoEEEoqgmjmAUT1KQaWQOaj7g1W22AW4AGGAiJFBd6ZSPV7nGiZS3z/viwx3Mq97yHliUHqjk6o8tpG/XOLMdEHJzChFlcwxjGoDmhbOssQB3TmcyMjbfxJNUBICAC/03E9qKF3mhLygizNOIGx3F2Tp7Vu63qrFctkqQkVkmdtM4WBBy1LvCIVGEtTAj7NSh/jVHoIL0o/o241R5cGbJpiHG/Jn9vXXeh07i5CtwsZy19Hnq3eTzjqIXQfBAFkiO+tJBAmOMd0vgUUkQDTZC8McBO+bDP/JoR8JqVk2m/1eEOJaFvYjAvYJGtJtH0FB/zZc/sjVJ0fOnwslda3KOKOOP+p7jwgRCk3XLH59n9ZNIaELqTiOITn/hgDztoJzABR0JVsWaNqqwliBog7oJJA6ipA15sBdAt+yhud5griqjiGI6E9f4O8IBkHIJGLd5DyNDPu6QBCKKgqBhm1P+iTRBOgwlG4f6KT/+M7/L4YwGeT8Q4BHbmy8Skzyk04AKwbQE96gGD8AZ4rcxqxBtMwTv8bsc+BZQsCFXcAwggYd9A0LvYKJfGi/cyLAsijwUrL//yzwXDjuYuYtXY5qJGApEiIAKIiE1KYAAMsIkUY5Fm4AfpTgjrbt1qLO+mYhuE5gK3iNgAw5104OmWJOqoUMLewAcWj9qu7mq07qAiD//CsPIocf8Uo7bQRuF26A13ZwcVoz8gYAcXiQN+0AHvUAhXQAicqAiro4GCTwkDj80qKBGAzAemoGgQkd9egWqyUP7iD8PaD/iYQPKMzxgncRLD8PISEOFkDWTe0Lj/QJFQtop3FMMi6HAETuAUUZEbUe86tiFTFKH1Pu5w3swHgEAV5EoXmU0aooD92o+vfHFMHkYDVvALXxAZWxAZxY4HVc0nRoaIZmBp5tAUiyIFTqAEsnEbuZEhhxArivBGvIE7SCH8hmQU3OMNDnEdOc0cosAHeiXl3k+FAkQNOEAH7JESW/AY9VH/QIvsoiX0lkYBO8oOG9ImlSIC9ZAs4OEJsGim8CIQ2WkDOWDkzm8jhwwS1m/lGnGgrqA7hs8LjTElwZAqYZAHDo4mfC4CKAAB+WMBS2Ahb1IsiQOlWhHNrmgcfeR51LJe0qIPPvAoEU8ajAwkBcr3WEgIusMO/0bhHqcyKqWyL8FuDClgADwRFK+vJsdSMZECrCxLJ8WCHHoyLdmKcFCFAyDBKONyyNphCs5xJAfqLkHjr+qvKifPElny/vZR7FpgB3nHyxJzMWMTKVax11ZqG3wgwZpni8wxCqZQM3Hvn3IFyUTNvEJNjuQAcJggEcIuH1+QJZvzHu9xGVMtLGXTOpPCG8sCLZogSLQIMCyINR0BLn8T/ewKCKogw0JzNNTgKVkwMKvSBSvRL//SGDTIIkLgOvPTOMoygcTiGHCG6SqylPxj2cgTEdshOKtgOOXRakKAB4hxFt5TKv1SQlXS+MQOyEpPPze0KBpTAlfKLBbhCZjgR//YKRBnTwN600A3Mj56ERjjqPcccbVG4xKEQPiGLx/70jSj8zlVch9rkURgk0PHkjbNkiq8rztqoSLzQnFYEzNX9CjtCtoYlDhHkwnsYEd7NDp59DQv1Ec1KFuwb0jzMw9Tzyy+T94m8/Vkqi5G4Uh8ABegNC6/AWrwTEDMhA184CT5skJ9dD51dEJTUoP4o6TGNDYtrjaRNE3ZtDutq1FDjgf6QCPllArNwQdmYEGpFDSQihj5EjD/shLhkz4/1U/D0DIXoDoNlSHLlDnQtLOWNC6crvakITMpFfHYiAN6xThDco6y4EG9Lhl3dB+11EcB1VhbMkOFVFWDkAgTyPv/ki78QkVx1IJoatVWca8z1eAR7VLaqoAHdMBTg7VLk5FYUTNH9bE+dYADKEBMl9UmszMevs8HRqFRrSsQf8ZNFwUSJvVadRESKmBK4dHC7tRXtmQFRzUw4zMlFbY0J1RUKc8+OWAA3NUmt6/MciTp1JR5RqEJ/MNx+tVAKeffgtGXrqYQOIAHlvNhuVRcxzU+WTYq8U/sKmMBKLYhw6rMFgFaYbUepgfIetNaQRY4w0tTA8Rbi/FcodM5xVVmY3YliTXs7ADIICBVbTbdytIUdGRRESdUhGQURkExbC9ohVYuTwM9SZZbx0QNgi9Cy9U5e/Q0z7VL0fUi1xXMrPYB/yOwBdoFVt0hEdyAQPmVbCv1nzhACAqhaGFUawDHPf8UbnlUbqHWQo9PLSagAPA2+77Fsqpvay9tZyxoR/Z1cDUTQduIKOuSvDJMCE6yZVv2ZUn1dY/VYYt1DAsVc9Nt3RSDIktU8BgML9Rj7PrAN0d3HdnIIoQgCzJ1RpeyfLawCbL0dUd1YVc2UEkVDFOT5hBEAG6X4hztAsSRHOtB01J0eIl3HcFLCKxO5bBweXl1ELqjccNwS1cyab9QaSePaZ+zPpOVe3OtMaEjFq9LETDvCczPfEk3CjhAfQX2RaNNPsL1cek3dr30ZfNXcsEuBicgAPqX0T7gIZV0TWEPdP/1VXAPGASF6mwTt2Gckge41GWtd3avl1xnGFTBMGInloOT638rIICBckjcoRaCdzxNeCM7MleZ0k5HQw7qMX6lN3odd26nt4ZjlglQtnRymLLuDoS3aHoUQ3iJmDyF6h3Tc2B95RLobznxETDtl4IBlULjto3vtxY54L+w2KTCqgV6mHfnYgPV4gluD4zjsiM1AHUVF4l59WqI4EGhF3+dNmlTc2nLNUsh9/7qdgK2146ViNcuYIt7NwMF7yK7w4AD+TfFWHkJVh7RRxCY+GkX9okfVopFVXYVdhbUVWIz+Xd2WI8/xQIllZTJs8g0QLxEsqhONuameG77FDWlOFD/3Tg1+ZEDDgCXfQelKqCT44VJFaEFomCIf7l41Y8oERdtGXhbQScvodJcH3lpm9NcJXmNj/ESLwKTp7lb9HaXPTkw1oMH3mBsvZnfvsHTCIURY3R9xxmV228L3YCSaZhlF9pPH7mR1Xn/rlII5pmeDYU2ORnkkK1A/Xkj20ES1KJLFliFrWYQ9BSCJxh2XVmGV7qZqxc+KZdQcPiiUUSX8dk83EER/tij4/KWDLeQS9qcNaBxY9ppS9WCZRmKJ3eNxxABajpFqvmafYwJnqCfe3rIVKEzKqyB47GcFYaF5Vai31h/I3hYH1dmLTMCqhaqcXaXic0d3MAHShir2dEj/wOWeQ2anD/zIfbsYI91hlu3nSnZSwUboltSTSwaqmfTiaw5hONiA626riu1Dy4VkdtvV716jugPgmk4kiVaac2arBfaGGZBLWbgchebMXPynn0Xn8chX656sumKTp+AfIqW5cpLkdE5ep3ZqOXTt2eXmV0Y7GqZP55atY9iwDRgqn8EGzpItmcbqLbnCoU6hRhmlaGSsFl6tOcTdj3bjfdxDFE1uYuCxlqbPOKaB6IguqX7pwq3ugnauk2WsyFZguHYZQFbcpv2jSdxDCNAsWuaKcisuc2DY92Du9wb9xC0MoBAEE65fYn5oCNitxs2ncv6oT8bqS8cOvOxblE7Bf8EIMTZ+nbP+4erer3jVMFBsB1Pw3CRVw3kAMI1W76/WmF8tRiZ+qiBG4Z7XHqv95VfurhtmQJarMUCHIulmlEBw03zRXRXnAq/ARJY6TRcnDOq4AoEYRAKYcbn2yEuAWW7kKzvu7eFG2aXOrSbuj0QgwOQvH89lIexOS5Q3Pag/CjN4RtwARKmAGCMzCKOdyAWNLfh8QTNpEZ5IKWbVtFFm7Ab3cLZOH9ztLSZkx+BwM25t0gLnEmZwIye3M5Jtx3yXBX6oDP1w3BpPNrQZwu1G5kZWo3vl4IfWp2fFqLtt9KVlWJNvDyQ7RxV/NMptR3MQRpGHXDw2stNqDvEGob/ExbIg/uFVdp1lRpiaY4CLh1vlXw8NKjT6frXDVT3OGCga7yk5SONf5vZhTy8kdnH+/S39ZHmZgDXDbUxHyCPcXrOm+AJRq7bR5eNgIyksY592zcEhI+RAduhF12sz5yN5bewIRk67RPAsTijNb1eqhrq9p14LVUDgKDLiVPcuxo0LCH4In2ZJ1nHD7vW6XfhwZsl7bMD4n1I87C1eb3OMd58V8FsUZ33CmEGYi7a1d2zSzXIzVzIy7xC05UHIp57EbUFCtwYrujibf6Ak1KBDxngqqAFcpzdW53oy1y4u5vWP1VHL48Hzq1/y82S9LgWTkNFpd6ENT7cP76MSzYi/9QgrUj+sKcyvCE37xvacY01EQhR6TF3k6c65J7U7Yk4gY29pMvE2hBd7Pdb2c8aZls3qRve5HOU7M0ec3UdsoUmwROfeNsh2NtRA8b4LjN7ryEiL/m0jfs7vzU8w+c3bitfkvlRmKx9SFGq6QsDVaagvUUfBEsfF1Rhyj3SGoWg4+Xe6s1k1VmeYZ343J99+qv/65tdDK0x1XRfP+E8FlHlCbqZUoWd2+taylkJZQFnLXwgbzb+2LWGA5437JM5VLk7+nV8w4Ue//HPPgnlCgBCjRANPgrcOIgwocKFDBs6fAjRoZAJFS7UqoexVhMeq/55/AgypMiRJEuKbKfKh//KKbhMunwJM6ZMj9/e+ODB48meJ4wYobp1C1keDUQwGT1qtBrSpUmZOn36VClTIBpGGbt27erVrFi3avXqtStXrVzHijVLlizassbAiv1qdtSoJipDWDJaSAgHDQMi+v0LOHDCCBoqVGiGsRkTDapmOn5MrY8PDZSf9Gn3OLNmkO3Mef6HWeS3Phxw7rl1DBk3bt5Wczu2h0MWqLRrS63dlPYVHkzSvl271rfv4MTVCjdb/K0xJk04ACEyaOmlK6UbCBCMPbvgFR04VNBwcVwTDZc3mxdpLiVlRsHyAHF0Pn7JztJwQZryBMgTlX3eQFKFCy6r7EEZD6ep5hqCqyH/w4MPcuAGYYQSIiWHD70ZV1aGYf12FnJbaYhVhsiBeNaHJnY1yk0+EPHgU1lM9kEK2s1IY0MReNfCRW5oEIU58sUnjWQaPIHKanv40MeP8XX2zSqQ9BGFShdowAOVkxWowQUV3ETlgQm6xg2CyDzBQXS2nYnmhEZdAgQPo4gY1odwhkjihid2yFaId44Y5zVy8cDBii3SpsZkFFxXY6I0dqClRcz5II2Sm5kDyV4aMIIgKg02JqlM7bTTpCp9SJbTlJT58ARPqPyESk+M7KSSTreACaaCq90ChBBm5gbVbWr+ihQRGjDR1YbFuVVsiSUi25aHyR2XlTG16BAoixIO/zKDBhwYpGi3gt14QQtNbMRpp45JE+WQs66mKQflmTtSZ+ZIowokUURRWpVUDqmTKaikRmut2yBzTGqtrdaarQhzc4sGVQAroa9ISTwxU4I0ceGzHvaZllvMGtvscXaWJdd4PgjBxq957YWAty77xWhFVEIC70yjBXqpgu2++480kkjjo3mfmvONNJPUe2+6pVHZoE4+BaVwmF8G/KWCVkuNyooQbw1sIRw08aayc9apJ5137qlWhyPnKe1iHAgx6K+XELHXAiu8jPdCK4DbAkGh1exSO7ik+8S67E7G8yRcRlGuSUMTjUu9UEZ5ZYMa9K2SD3nsseoxUlO9YMBiTv9N+uerHeMDEJdwvRTFrB8lbNjGOks72SCLnfbaYI3idgeCROj6UVnsFQGieR8/kcxABA14SeZIphKmCd4y2R6htePIZKny+HdI5th3335XEkTZkE1vzogjpqCGjK1RRx2N6aDLT3+YecjmVPAVvx68r3EMG7LksE1jxhmZyNhSwLloSwi/SxNuBLGXGRjveC8jzHf2kqTmkeQbUeJA4VzTmls8gXseMUdseJAHZFBPA5ECybyERJkWoCpVPGGEv4ACsPYtbH4Hs1X85NfD0NFPYcg4mCMchhv95a9XEBvE1w6IIdpBCzhwyZ0Uo8U7H7xNDVwL3iCAcIGCUPBl3KH/yAWAEKiWaDAkg4ve6Bg2mR55RBpU4YEjFjSUPpjjU9KAxJV84JOfBMVzIJxf6bxxtdARsVaMLJ37TqfFXSmRV6+b0ECsUja14U6THKpdnspmp1Hs6GQNrKRT8kKZBozRZTeqyBXoJsc1ekQVUSCIKQImQh4FTXEEmRWCqKeSe5XGB3swhYIONrVHlk5+iWykEOunTPqNMA6mXCLwdMMbK3JybSTq5if7pJwsakAIaigEhCZZm7ntxTqrVFQHCnMBNcgBja+QZTskkTnDISgYI5Qj9qqUh2DQSigqyUkeHAEw0YEOmUMcKNXe+MxCKoyhrJnaEYWwumqeU00VyhgU/7/5UQxNsVnJygrvGkROc2q0NtTRQIzaWSNwXSALapiBDyaxxnZAokpPIKTVRuiDb/zjGyfcgzKDARSgEJGiUvshRJe5VB46tFbIhKitcnmFLq70KW0K2xU5BkriEHBjJ01dFjK6VUoiBYItOBRMZxSzC1xBL1HoHrzMMYXqRY0bjBjSNyg1GR8YM6KGdCZTp4qghBU2saZTTVUVakhk9pUDpUwrOtWKlCtoIBEBjNYAAzgcsYY2d22RiyIIAoQsqDSJ1jzKZSmULQ705a3YaeUFZoDGFgKOg1VaxOjExB+bVEafkE3kI9+oGqc+dIfIJV1znVk1RSpyD4CKW2vTyv8Uiakhm59Ulpw0mTaxLcsYcuEdXaoEhCugFbsRGsRAONAy2gYmrhyYwR48Ylcl0dGWyNiGQ29RJQ70jXOqOa5zp4pg+ik3mc6MZiOvtkhn5hIIkoTYa+VWms5qEzhj0+ZX5FIL5gBKA0CYgRCuwIZdOZC9hRCWBuwmX7/szTvaco59eKYkXEyGB0Wq6DORYYo9NCEKQSmsj5ebYGgmeTU/RHKSo8bUveYSo9d07dYuTAQ3GXCsGmYbeeXCnI1Q5m1VyIIc1steK2cXKi0tXowjkjy56qXG9VQSSrRnuPotqL+kQ+TCrhZEENqKqX52TZOFyNDEQhl+YGryG5G5YCD/V2kKaL5w6y79q9sIAoAf/c3Z2FZeJriBCYF1DhGyIIhCrLbKtLH0hNQQwQm+eSG2VS0agaBF3Z5Hp3vJwy0ey+ADNzbY0YQwYZ8r3R8zeMHKFjYzj0RiFadZTU5swoYzeSI7fVnUj2rQ24ggTzRPG7MQm2cYuTXrhcSVi4UYRIt9UNf4PK9LAm32/JrZTKodmrDDhipkoSvEp+a72AtiRJV8oAZxTxudl9xmd+X0lRDjpEozMLGZpT3uNLs3lelWyIwrwsWjXIIDUVDjpKZAJemBDkGRNvKDA87kfz9Z5o5crJOXSStUkGmBWcB4JV1tlN0QC7SfDc6fWhAoIYQg/9wanSTQ9wd1pqhTA+zs+EHiPJujVCjem0EXQXrMjfgd85AJzrch8x1EhlJ03xWFMnQV1mRgB4ztr9nJiIEwqP5lfBCcDk62x/JlQL3tCoVQOLDQiXhMV7KlL7W6BS9Q2Sv4ABL5lYk0JtMEsBv45cN2NJIHznmYW/VzxiZ9IwNd4Iji23QDaxV6DR8xNbnuEkIAmzdBelIObBH2Ge89U4angQnIWr5lrEjWjSIEILTkG9RgXkxUUZl6m72hzjYuguFOfT1HOPuqdznowVRoOFKGwrFndYQ0i8lvLmtaDXqOzy3s+2rKIbbofrNtS1kI/QiTB0Dog8kdBwnakkI2h/9ze6VMDPVDh/U+Zwd+DPh2nCdwpBMMphBIgnQMK5Q6WnR8auZ7cgBARacVJ4V0QtBzrPN0mJB4rLVm10UhA6EB8RVjK5AtIHcUEKR7BJEt/ecSL0QQvvVMCdho4DdRehZsw6ZY0BV+iGZ6CON2ggZwR2ZoDbgg1GM55dMgk5YMsZBX4/R+5beCircmNxEy2UZeosYDM0AEqeaF+qN38QeGtEF7dXM3tCUAH5AlxncU1CEEVaAGgzAIWRAFOPYR5rAKMARIoyc1z7V9yrSA9lZz0VWAiMVvEdZcwDZhU4AvkxEoPjAFugAO4JAMf6ASlGV+1RQ7IFJabkAXPhAC1uX/hiv2im02fMdTAO8ULjSIF9I2TzQTEu1AKlQiK//mYN+3hDDngATHTKGHjIi4jKazQp2YDNGYDLqgC7EQC8kADtXwidUQC2jkMAp3ghOyab0RTldCgl34ha8YFSrIOsAnQe2EAHtRJS1QEZXFFBVCeZzRB8DICEX2hCsHkJEljDhHdw44PwXpcgmJDJPRiZ/okA+pjduYjclgE7rXIpcVjksxCD5gbVjEBIIHburIguQGi5kGFYIwA4EyW3kzYxqgA0ugA4YxU4Qyefr4dUtodk81NWrHWEuIgFH4Z19yhJBGNYW2eqZTaIqFekwIOgDGAasAkQ8pkRG5jYozGVl1/2XrSBuXRF6K0H5X4IpaOSFKlJEoKJJGgS26p0p4IwAUQBlM0AaIoAP0CHm6kTpCBRr7SCQKGXYBU1Vyt30DyW9R1mCBFoQGmYw79HI/NEKSIJHZCJmROZWfqAtTEEHoWEmXYAlolQUuSRfjpFpnyY7844VRhxSoxAELMIszMgB70QJLgAiHIJd0GXJOwSaUcRm+eJM4CZTEJpiJyGDICJzIJpx9uYRi52z9ppOmc0RRUA3aGJHQOZmQGZHJIAl7gT8m+BQbKQRCMAVXIBBjxiK8R5JMJJqyZ0qaxQGNVyMCsABV8pKHIJ+zWRHU9BQuViWSsI8+AHYPWIzJ6GBLxv9vA0qE33eUiemI1hc67RILkSmd1JmNVBmdWkgZU4CZ5WmbaISdGroiF1qapVhNZdmOuid87flOLtkG8imbcimTtbkUmsVjBmclxEVzT7iIy8RsTnhzQkmECWlke7VYppAHqNIgfyCV0SmVkvmQuvAHe+EDlRWOgyAHcUAVQCBPWUAEuRKW6dh7GMmBJplWNihbrLljsHkIoqCicglPpaRpe8EIRtIg/RmUUMhyhVQ/h8V2jTh2dcpIhrkgB6NcPUSUf9pUveljRdRvTaYpo8gBbyCdSOqQD/qoDjkJ3lgFlSaWS1EFllJfW0qaH2qaK2VpIooJX6R7MAgYK7AAlPH/krGpoqKACPQ5k9JBFQMYJj5haMwYesZ4TKUXhcV5oMdWhKmnZMr5m5kCVJOAjRK6jZMKoc+aC5ZJYp76QIFiYnCDnq1WkqZEqmA6kkeBmgsgI3/RlqyaovKJpmk6l7h4mlTRYzcKcAZ4rAoVmBEorI/on//Zb/paOrk0Bc8Zqc/6rEhKlaBYqSS2NdlyVuf5c03XsBFyCSGgLW4WEQVgKWaqohkrmzHJriKXLW/Kl0JYhDH3j9qnmDuKhPvao/fmo44VUUakAVOAjQ4asI9ps0oKDqugRfaIJnpInr7XrRv1pfD3OsNTX6t5EALQAPC5BLJ5pk/rtLG6rnXJFAOx/wc+xmxACqTMFYlISaii46dYS7I4Z6gOBWx6+nY4BBRItbaLELOSWrPMCreTWQVEISGUUALtpkXUmqnfGqqjua1Z+bfZ6hSC4AMT4AMrqRApYIco+qoZG5uRO7UbmIcaYFT7imyQaK8DSqyaW33NpqBTg5wjy6/NBWAFtR9NoyIa8AZxO7CSSbDPOgnOsWqY9T8kli1YybCHt7tpZaocsJYJEQATQCWw6aqQ+7htMJcPQLUvSiU+ZaOQ+IgG6lDF+bk2t3oRxnY5Cia5lIG4Br7fa6QAC7uTCbfM+onJQBWU6xRyoHveOAM/i6HYFbTz27toqRepiSgrgACsirFPe/+86aqiHDurSyEIYURI92qn+crAZMuyLheoK4uyn3OEgnYMAqUaqEBiq5ALHezBsaALuRALuZAMcluzNluw6FsNbzBO7ZtRl6BFQtBuZqatgMu7Y3m/XmqeUkc3PhAjAnAjjuu06DqfRSy5dNlAvsIGpSGnC3yoh7lyFHUwQYSQoYuoYTKogfm1gNZg8doqQ4oqi+AIQ+GcSWrGNHuzJly+kBkLkZQbw5NegnBrHnrDOxx/rsOGD1u0JKpFr+mq6Xq8RAzAsuqiIkcVPrAuo0ucpJtsnfty1gugM2ecmFt2ycQI+wEEQDAFU4BGmlgF5gvKNDupczvKDqm+GqC7mDD/clpUPngXuENbwxkXjjr8ip3pv4H8x0WssRtLl+xrFPM0JMCqjMAZvRGIkLxZycaYfdbLCJz4Bm+wCtQYC5PwBnnlmKVMsLFbyqLsutUgCRowA0ihF6woBKxIx7Lst2Z5v4J7LS6oA3aQpkMcz4IsuS0KFbB2KYi5td5XWIlGsvtcjEmImAP6WAQ1BW+gCwU7kbpQwkd6wjeLwo+JvjQbC7oHnlfQySFXuwsHtPRLuCBqMSnJAzngqoggwGgamwIcwBu7prpRGphyaFvrsl8rqJOomMspPzGdkEpJdm6Hb0M6BX8wsw4dlWsssJB6whP9oNmIcuWje77ct1yKzkTL/9GvbE2XAHzxGbkZe9JcrcuE/IabmnJFlnbFatP/7MDGiX1Sg0xlnZMiSys5SkT7UQVCLbASjdcRjcZH7bpFDQ6zS2JpiI6kWr8gHcsS83SF7RTuBZ8putUCLM8prcsoPbm1UQhZQBUCiAqLBJjVu6u+mZgKGqyhO6wBEwxNoMl/gM0Qer6sjddLvc2xDQ66oEVAwK1bhcfrHNXsJccCxgSSjbzyDNmCvLH2DCFqQARXwhP1ysgLGKBdvGQHepR5KkTxI0JAEAWUMJ2uPZ0mHJ3eXb7abLOToC1QXdW6/dEdrcohMBnxOc+Pq8tQq7FSi8QT8od1BEgI2qNaPLZfcv/MjShVBEig3KBzmkwJSp2ksP3QSorUE73GBItyqpPOOMxeuT3hZ5mCSMHYjrvVACzfKm3ERKy8vQws4fkET7V2vVnBk8zFLV6UOY1ozRR+DrZg0WAK+TEFUNnXDb7jeZ3CSQ3RDd7GHJDKDlS/beiwpVmWZAnLwVK8Ww3cxJ3LQzzcsprE1FYaeSZsxLq5AH5gLedv+OrE/GYKqTMFDdrj1Bm7aAydkLra4t3a4FCRRa5V6B3Ldd57QjDSKx3cxO3nUVvceAgx7lqMMn19jPTcwvnWNcflmNvMmpwLoOysbt7dr83Xkw7kEKq+WkRpu13HuK3Hdo4UVNG0uyzPGgv/2V09n2Btx0yhWVebzGYthdFbsgr4wAJZK80cBQ2Z6QwesJSO4H3N5pUeqaE4GeTnhhZ+4W+Y7E0OMSN3AfDs4VEOq/GNy4/L6s7uFJ154rc+5mz9aLSy4l6uaDfd36zB3Ey4CGY+s8HO13u912qs177Ozdm4CgPxpCEq6kL76a0+ISP3mvANtSA+8PQMuToAT/YJLE7EA76kzC2H07w6vcrsq791c1ZDUEBQBe3u2s76uvX+5pL+usAulbrwBrr3MOndpSqvnaGOG06kAY793rtc5aiuoiPesWpym+966IKJiN33o2n9yL8KJseAyW+wrNsd52vO9A/+7iMf0Qqt/zgcMAXnbVkV/ooSs5ExX/NDfO3wfbyuOrU86+96kQcDdVj8KuBQCNoPPH2GxE8qYdcPjdQgX9Q/nsZ+Xfd4D++6gC8pj1lI3u/aTtXq7O/jpj8Mf65Om66pTtzVLvCwSsDmjaHcLq89qsiOCHOBNsX21pNQCIQuqyDABASqXek/rtDiPez1/vS+zuNKqgtopPCDe+cUbsPsbPstXxsVogMp2vjIW/MlLdzzOfZcUygaQFy6qvZmHaDLSYmi168ZOAmvD+cfv/qULvJN39px3sYaQPb7Dv6EHyGbpgGB3OchHvnzXdnMDhWXQBBvauvRDfTEWKAyN31ElDUqod0Ryv/da97/AFENHDiBBQkOrGbwoMKFBxs+FIhwoEOD1SZx4CAH00aOHT1+BBlS5EiSHauVRJky5EmVKbNoaIEI0aFDM2vSPCSKps2cOHfi5IlIR4UKF9RsZIkyKaYqGngg4waVW9SpVaN6szpValWsW7Vizao161apYJGBpRrWqleqqHj4AELJ4cSIEiPWrStRL169dP3a/Xt3IkXAcwu+0QBkUEuTKz0uVQm5pGTGLSk7ZvwyJk2dN3tyxtnZZmfPOtvoaFH0aOWOgzj4WFSVLVrZ3GhHC9t1rG2vbHurFTtVd1ipjHgAAbJqMMO8hPf+hU5YcN/AffnOtT4x2RQOQhb/j7zMGilm8pFFSl4aXnz5jVc06JAJ+rNP0p9Hy6+pQ0NRQeddOg3GKrOCw2234NKyqsCsbgPuwLO4QhDB4l4DIpfBsnvIMAyn05BDvjysTjro6tIFCA04uOI78dQbb73GwGPPRZJYBCmpK3yAz7PQbrJpJp46Ew0ooVK7IAsZMbnExD3IIi44Jh2EMi2pnsTNt7UORLBAZPLQAC4LG1LoQzApEqyiDMscM0y/1BTRzLpymYKHxK64hCMaj8QTTxrvnDEl95YIyif85hNUUB9RUy0l9dTggIdbIpwSuCcjlLA2S6W8Mkosp1yEAw0+rWKVZNYEjE1TSyV1OjSfMxMh/1VHdK6aWLjrMkX/8sQ11/X4RIkIDZbY0TOedPTxJ9B6HCpRPIXQYMlLLWWrQUrVijZBSRtEC5lF3sqjDx9OjGISXZYj97kQsdMQQ3PTpS6v68jFaxVaOQCCCEFUtMy8W3XFldePwjMR0GDvm4+0IA3Oj8g4HlPqIzkaNUUtBSH8SiywJtZ0twG50ZI2qjYujgcO9ijHnnJQecJTIN6IJSHnsFvV3HevY+jMEFelecNY3ojC0xOBCOFekS7B105+Y+xzshoZ8xeTgHP6cVAdSzN0J0SNwtW9JyLFtGtIK7XWyUyhxbLsqIzzgeR+1u6nnGBSPvGNUdMck0xU3YTobv9X984771M5TCaXSaYwUc7urhBEkCyuqGKKGeit4kh/72y6aX49BbZQYu3zieCfhCLqgv7yHAQIDiLOeNKyueYa7NYN/I0qU956ohy2b2cHmT2+nQTEwnIWE9U2Xw7+VLv7NiyZVf4Q4tsTJ2jhxE9F5mB0pY9uEXvtNyrExDaAmjr8z+oL9jQijUSapJe2bhDjZ6uVVjhp4Z/WEdptX9uefvRnmx1UEhuXutDku5eJ6ELras7MEJgdDmlHF5N4AxCiIIQ+xGESq9iZBoQAoxVtz3IcFE/pNGAHqvXEcz06Vk3qMyT+6IthHWEWI2SzMQNRCi0FmhhUQCa/jxHHY23/eYsP8Mc2/uEuChp4A3MyBLNUlauBwvudAMvFrgVeqBrJGFVedOEDDiwsX+n7YPa+qKd/dUQQnvrefKJ2EyDRp1CikMnVVoOrlzjrUlB5HaZYF6XYMal1ZamKW3zwBG/kb3+G1B//vMHFWBSmbq/qkMwWIiac6e1vwsPbAWMVh8TUaXufZJquTJSjYIVvWFM7ZX5Chz6juehhPjiG2VY3vxrG7llm24pbOPCEaNyOf4k8JNuCcZy5vap4fiNIJQdowFZlUpnEK1WrHJIM010BlNfsl0o4qYE0ku+NggpSKQ9hvhZWRj1AcFQN1ckxsd2yQba8JTJuwYgnDLKXhvQl/xH7twd6fQmSkCzgudwl0Cmia4m+YxMTnTOJxBTNhaF80b7MmT6VXMJTTCgWGzUKvvrohGAz0Ykck9YSX+2BKgoaDkq9BhyzZEuWFdNKMFBBz7c4xQfB0Ccic8o/duzOB71DFwGVqMR2RSd4NmvgEwGaM+pMQYOeFCM2X3g9TITxoZhwDw/SWELOkSY+8hnWoVbJrzOyTyxPwmOTumYlK/VQK8eYaR58IKcudckHUbjnL395SGAGkx2MiIIPpjCFP1yQEro45lHxttgoKhaZxlSoyx7bkC12B6rYs+pUs9mSQXxLYN7UHH6GFU6rEcl6uHKNBmLZ1muptZ3rRMYxbv+Bij08gQeGs+kT+oAKb3jDHn3dazCDCUz9oSIK9YQLhVi2TLo1E4ouKwglbdYh5jrTgBDJBRDgItE9SZWiV/VIUzRwShTeZ7Tg+2YcibQaFl0mKUmJIS3LVqV1gk0rs2WEXJ3ilNc8gRGvUMU62FHEnAoXnwb+pTei4Q2ZOsKnPkBsQRNoReoUFVZSrHBQKzxQUv0lFlw8LUTL6F0Qyii1dihWGwk1KJDKx6v52Y/oJMqYK7zmUWSbZX0xFo1tyNMReagnXeUUhT04YsHrGG4+darTvh74drcrxx408AekQjOprJqiAokKIoQWcKB4eQMPiEDiqka0zK0kM0iqwAH/HXwvUKLl3NRW+LmrsRK8H7kEs54QIEDycCoq7bMO1yJPVABZTjy4QJeeUGRVlEPAT05ygYObT+BCGp+v4MAU1kXQvtWMqOrCsEKhWeW+xGIGPtBIVJfGmsyOUbNURdLTWsziOav4JyoWBR1Q8wAZH02EZrXvHiWF3yc0Abc+SJsjguENdrDD0nzFJ3EjLe1oQ3vS5XhLAId3yU5DpJLNpRu4w83YhXAncmmWHBnV16itwvmboU0lUJJVpBEfiQ2eyoMtWUuV2MYV2dPb5ROUHY1mQ5ra0I60tRWe5L02fG3sCKxckBnFiX9bTdJl4KghK9S6rIKLl0V3yFHCrByB/1aNbtxonJFl2u1lwVMypJ9vgmGK2t62rk8Q+Cu8UQ5nP1u4B582gncq9J/rkxFIFLWnNSxJo0LRiaD+5wEVSJdq9MyaJUZaq8VImckhTQ7fIiH54KgjjxrL7B0FDTmxhvV6h6TGGkDFgTC2laN/Ctm6RUU0Svbs4E566AU2cOAnPfjbBQMuxfRyUYU6cQpb/Okcvu4xEUIJHswA5Fal3Hdd7aIatxl8azxvyssLzkPopyhebFhl8tyouN9xLVJOGyqQwXMCI7jvRa80wqXd5Nz/lsn4LMe3Gsnt6mKZqc6t2/C2LUnnGmQ7GrCzokSOzST9qpRhLaXYz64jtc9R3f8eqb4PbjEcP7rBKajo+ZN3/3uFU9vh7Yf//m5f6Z5OuYl3WSb+rXy8bjf2Zh1+pr75g+0CJa0jsThAI9IzJc1BoRUzu6s5LT5pGjk4tScwhVuollt4gi7BKUkDvNqrvaJLOMFTvw88sElzBHqZm3R5l4LKOMXjtKmLOo2zsCsynRAjMQNku5HTACZIIZRTMYIROyFUpaKIPu1hFE/hAf8Kjlv4Fl4yOA/UPX0isNtbsip0svc7QXxaJB/4A8miwek6vuhgwafbEAsLqBYsiD/QoH2xnA+CDPR4tZEyM0vwFBS7NfyYs/DxJu0zvV5bNTrSLozIt0Caq9r5vfWbQvf/m8KFWziHm79HXJv/4YDhU778a5MvE7dnQj5MHLfkKxEOsIRdmT5SDIkQYLN2Cy30+ig3wj6aULsjnCiVGIQaewKtMA4NcIT0k8RF3ELCCzpIvMKg28JDYoeUmYKEChPpurKoayZpCkBPlA6MqwbEGDM0K0VTZI1L2EAfTDFWNBbyacDPe0CWO5rwkAMNuEVkMA4OQD8li0KiWzIRHEFgLCIQLMaEiwaRAapYQUMKeyQXJMMzbLql2z8PQzaHYrU7o8NAdJEz4iaEKQ0iBEIeIRTRAB1lMTNslBFBUMdb4BIfQAYqZD+Gm0ei6z1Kk0Lek0ID+6vEyKIa9EemWiBo/8Swi2M6GayOanCqq0u9zZtDkcsCHiAlcRQnsEK58RkYRIG+hVwPNlC01/CtYTRJX/RFK9RClhTG9QMu/gk+HqgCyIokcpusM9S/ZILBSDqeoeqLVXgNkHMRA9TBM0OJdNyMqlmxcWQxvOQRkdoskkjHT1GbYvS99zPMq6w23RPGYCTJg+Of//GBlhm3mGFLnCS3paI4xrqk5uNJDfDJbGxIGVmK1HIzs0Mvo+yco1yhXes1roM1ifIVXRwiqjTB2gy8xLxH26zH21Qy/TlGFdwwF+SwLbswR5q6pCvIFqSOiwACuOTIDtrB6JTOjSidFvgehGnF0KDIIMmonchIev+TqjzjondEuF+stkrDwkbESpIkTJQkxrVBBn5EHsdCzuK8sv6bLnbpsumgJs/cSIf0IOm7s0uYAW7avhKaNYscFOzMCbXDwTyhjBoTP79LSXj0QArNR3lMTyxcT9zrgy7RtjJUy/y8T/00w8gS0S7DjkkAMW38z+fklw+StQV1RQWUs+yjCb98TfFglj0owcOURMesykjsRSElUr3KH2BaJA5Ioss0TsM4y2j0v5nMSeaLlbtwqhl40BcFzTzxFYFBrzBVzdRcxYQxQu9illdIxHtcTEXUStwcUpN0U6rMTeF6BZEZFxnUTBMtE7EkvkliFUw0nogoEQ2YASEQBOf/xCwAxSYE/JU1OtA3I9OyG73v9D66xLo76Swf6KU61U1PTUwRxNC/w8fz7M2TVCRkk7jrCjVllLpN89NXXTrl7L9YMB2MAIIsUMgu5ReX60E6KBiu8pyyI5RZ8yoWAkTNa4mH4YHZ3FBTFdVo/TtiTE9pPdWVXBspewM+NVGK80crDShMYjomag7qSIad+ZbXIIJRFLGg5FK6lEOOTA+3+5QluE7TPLk4C6cT2hFklcVcSYoz2gNnm1NqbcQgNdX13MrhYkT0TLJg4IAo6ERwI07LBFdp/LZN/ES6eCDTERkhiANF3VFepU7PUsWU46p3w1dUmrctFU2QUIMZeIKe/9s9wwTSRCI8nE3EJB1GlmRMh20ybAOCRqLSmyw+vJDSKuPE+5vS5lCeKkhXFGFXVSPZivqWk+1DeOPDivSM7qNad1WJV+JF96RHKxxBCyXBs61Ts/W7hxUsok08qANIUZPbbx3D4xzOcxkMXZAE7TqRKki1d1XW9opLjyjQe82oF1OjIAzHMG2jP7zUdmWRQXAK2wHGtE04UHXYzDVYeuRcON0nIAjLouXWJ93Jgozbce1W/Jy6ZKAEwmnDqpURXyGhgSFHPQwWtAM9MwXPtiOdE0EyOYW/zZU/nqXTquzcgs3NlNQfZEgMC9nMcENLjdXYo71YcVs+5CMIW60egP9dVD/hgMw5JYkUn0JJJdD6Tpfll0L4FMstSUUUXqsUXjbd2fLkSvt1uJ5iUuiqSaaNvCllpiaaXm4byydtvsGQhNgNzQCdTpcDU9IiU2ORVPKNmlgMzy4pJCcr21Atz86Fx1KNU8DTUHxyXgjLMhE9UQAcNRSlVQJKPi3TpIzbIg0IXHcNo3kdWZIQhBnQAWFBSqVEyn113M6BwKCMQxfqHh/I4A611mdtSftlT1AFXSAdLkeYMhUl1/4N1zIEKHiBlcUbV+uiCMTYIO2Zy6RhAyEoOdtdMfIFYmP9vHmL3HQDiSRRYlI1T4ZVz/nVYyhWzORNWGNMGegV1wNeS+L/eUYvzkRLEmAnVVpzWQXt2tWfBFvvBT8h0Krrw0tJjbcF7Ik6o+OSEM9ONd6FfU/fs7bl/dybDWSdjd+1CT4TLuT5nEFDpkZx7Ta2LGCylCyDqCwVOWOGZI1BaB6sVcAJjuAXGxYHDc/muScPzr1V/uBpZeINLkGy9YbEqJkMi5lvNcgVrs8ULU6D+mbIAwdd8JQadlGRq4IOyBy0I7vGzcOTQ5jOgNwSI1yS8JUOzOPd5NB8/OdQxce1bcwsPLBg0IBk9FbM/N/MLF1XXV1bbuj/vaJvUd/sabXMEw81QKevCr010j4fDlZ5Wy805YAObNsm49wQtOZqNU9P1VyV/1Sy/9nWWua0E8bpTQtn+pxbb/40dkkGT5njYBZQzaIRIQjfHwbi1PzoYv0cZEW9rxVcfdYANT1SIupQnWXl4fVjJLXK+wWmaEgMycQZykyTKI1e/TNrXv5EArbYiqg6DvjXHC5qXSkdICAlBcVLIT5KqbHU7w2vCkCFnd3qObXZ9w1hgmZeqvSGDfTCZHDVTEJhjAvIslzr+7Np61Ki7eCAcwPsa4qDDhildttDfIXgz0lN0yjiAtyIEIC7a5bpCiXbDOXgrG7P2wyuaOCnLqEETWzVUDNd1DVnMSRDmpywWR1AFLHkup5FJFmz97DXslNc6cbREiJWYi2985kxRv8liT/ggFcgUthm22tVWJl+YntEbGO8Be2KTIPE29M9qA4jUflWQ/pWZJ/ukDfgIvR5Q+bWFTvswa2CZ3je2s3ZS2Rlr+8LCZdjBIQtzD0mrgq9alVu2MQuaANbpAuYBEbe0wGmwcqkWONjZA+XvGhMhgHUAJclav8WCTWAie4UU7OLmvFNSvv4zrk+mjgAAkfoWUCOVq/uyqG7X57dXFZ+Pyn7wonmZaStbIhG0UsU5yjNXnNJBv3OCNl9tUFIHKQmJc8R6QiW4Bg339WmZPHIghnYA1TWYOS93M816MuN6doc7+FCcoLa5qOiWzAOYCxLzjC+6ZlsimtcYAilqBr/SzTrizMXS6FwsrU28pHRUC+NlOqpvgyBnUeVNm9HtOaz9VyYtvAM1Z9YJtrhliIXLlFW5fPGA7XJrqJN+7ArfygcBiWPhO573ajQG2ncPVBhMb2mlCo2QHOaHV7DFnIoXuwKr1/ZHvIog8kA5l8ntdgQh1JnP2DJxkkot0zE8Gy5/KRBmIG7DC3FXcVOTsr68NrtlpGHeQJU9vSuRljEfGVTjlN5TyTDe40vvHbm4mIof0HjsVsq1ex/116BeHV1jtFKFuUCJaEGLO2MStBKlZpgIfNQnirXmFn2s213n1ZqjuLzNmgN9kpkm4KWGUNyxnOZrNIZTN0VNucS9e1q/9QAQZ/qMh/0j8iCgJlxrnXjRpdx1C7C3oXOlHCNKBhbUBdhOFVstbVNVT5Vgs4f+5mCFSx5/Izv+1YqmdR3nXRoFXYkhyh4LMfUznoPXedkOMN1iQxCZL3omS+J0vGBB2d3PuYrZQ9hruZqoMW9JWvs9g74Js/lF7bsrR9L63VG5fMbc5tO70oSNvuqeN51xy/fyD8U7Z500pGg4E16jR/y8vZ0OHdwhHUEL/xih9Zlm5xYv984lM/3ol19wYgFjFh7tl9njmiKFqhdSU1ZcUfKBoRUqwkdFUf3oOweIBiiaA7oNpfm257zUpXi4HKEJ5A4aRrRvL3P+q7bGBT8cv9V+SffC/2eAYO34c3jk+p7Z3GytXgeVuv+YZlAcMUXAkTkeMxl+uX/1I8HXWgOfeWQVYL8tG5WS4CoBm6gQILgCiIceNDgQoYNHyYsCFHhwogKBSZUqGuKDyByMIEMKXIkyZDVSp4sqVLlIA4t7CA6dCimTFEyb96kafPmTpk0eeI81DPmUB0aKlwQtHKpypQknV4SAqRcP3tV+2HFavWqVq5Wt3L12jUr2LBbz4YVexWt2axj2TLisMogRroMJUqc2BCvXod879rde3GwX4p/BedNbDhwsikcgAzC5JQp08mUJS8dpEFDm5k1PdeMSdRnzqA9heK0+bOnakQ6WiD/zXJ59mwiPrx1/bo29+7dbH+LRas7uFrhb73qBvvVniMesQbXrQgYoUXC0aVHr6vdeuCM2bFLx+49/PfxBTc+LkR7PfuSclx2Bk06KFDQO3/+nF/6c04dFR4kNZJlJrWnUhUaREOWWr0pp2ByxxnnG28MSsjbcGz1VhUjQDz33UTbfWiXRdtVZ55gd42IGHfXldcdeQ8NpEsU6RVYI21q+KDBaEDlp1pQ+Onno3ynBdXGa0ipsdSABBZoW4IKtgXhWFM2eFxaaZV1JYZRFtcVO474oMtiJxKmImAOlYkmjBmdeVia4/WlWF9m5qULEB191NRTNuo5kmM60JTfZ4Gi/1Yoa/x5dl+hOxZqVAUayMYnZgKuVAUHyEAJnJUTclmlplR2mSmoUW7FTh5RiInmXywWtiqZeqXIXWGBvUgmmx6WOOZDuQDBgQZVRAbSkjVONuxI72lgh32JIkrkavoViihqQM505AVJSsqebaqEalyED4JLqoUVdqnpgxVaVU4UQKQKorvhvfhuRCSeWWuLsdoKHrxwxgoiOMn8AYQGPsRxSbZ8niSEBjrEJ+iPD9MnrXwTyyeatUodTNsVlzpI4YULDlfuhOF6a6FwGHqKFTtPoKrvuyKaSWe+7uaa4r0q8lWNiQftzGp0urwhMBDYUlrZwWr4Gp+zoD3bNLTSKv/Ko0/+xbZnn+xNdgUQwUy5adcoW1kllm6J6jXYxKFVjg9RJDNmXq+u+aaucOerKkWzHiYnrGWyOZ3bB8XiGAdCBGs0SoaXJDATTh8K7WmN5yfaoNFOe7GwBxsb0hUzcG2ulCCHXXaGFI7aqddkl8MDEG3vfaLPK/Idd99tut567bfvnWuralazyowcYJzxbFlwwENnz07ebH3TzieKTqal5pNrsF0r/PBCvBJ6t+OC/XHI3o8bflXAJTdcORdwwDquKMraIs9+13z7+u9DJz/89ta/L8wFJTOJDxwYzGrCc4rAlrCfiA0pYpGjD/JwIijXVKBqSiKWStQABEechXz/I9ve+ESlwe95THzgw5A3BtY2evULf/PTWf1yBjMX+YtetUMh7FxmQxcO5A0cuIL1KEM8hkkMeQ7zjMOEFLX5LNBI1CPaejLHFDlc8GPiClXpsvSp0pmtY12LUjRUp7db4Y1Ws4NRnP5WN/3Rbk7wipvd2iiYWHQkgDZySuYuUcDmMS1a95GcoSj2ODz2sVpHCdBshuXEY81gD2f71AdNV5YGpQx0kIQS6awSjY6wsHV5q1cbX5e7WcVOk+3j5M5qxUbXTQFS7TlkSa6wsOfxR0iLimX0kscfWCKxWtSLVA+XIohEssMewhwmMYtpzGMiM5nKXCYzmzlMdgRDA1NI/4bOqmnNa2Izm9rcJje76c1vgjOc4vxm/zQABDn2EiSXEISvDIgI0cSEDu8k4jzrCc+ZzPN493wnIuS5T37aU4lImYFUCgoEgyJ0Bh04KBAWKhWHMhShET3oDDazB5blgWVPuOhGn9DRKGQ0Ch0d6UVBilGRjvRUKUUpR0HKUo9ytKUq/WhIa/rSk3pUpXvwAQ8eEwWp/BQIQf3puoQw1IOuCwhTAIJShSoVp0K1qOtaqlGRCtSqVnWpTW3qUJ9KVIZ+FatTZapWuypVpKJVrFZ16lnVWlW0ajWuAtPAYyRqV4ZC9KEUvSsHLrCZHOhABzlowWsIqwMWHDawLUBsC7kGq9jGEhaygA3saxxbWcoqNrCIFaxhAxvBCyAFtH69QAsuYNrQiva0pk0ta1GLFA2k9rWPQkppSzvbQVJPA7aF7Wz9ulvSAhe4v33UbnUrXL9GcDOPMm5pjzJI3IK2ucQFrXGB+6jglha7ps3ub5/rXOoGV7vIPW11hzve7173utxd7XpFW17ygle87V3vc81bXdme97np5S1sYRve0H73u60drWv7u1zlRjDBCl4wgxvs4AdDuMEBAQA7
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
R0lGODlhkAGHAfcAMf////////////////////////////////f39/f39/f39/f39/f39/f39+/v7+/v7+/v7+/v7+/v7+/v7+fn5+fn5+fn5+fn5+fn5+fn597e597e597e597e597e597e597e3t7e3t7e3t7e3t7e3t7e3t7e3tbW1tbW1tbW1tbW1tbW1tbW1s7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7OzsbGxsbGxsbGxsbGxsbGxsbGxsbGxr29vb29vb29vb29vb29vb29vbW1tbW1tbW1tbW1tbW1tbW1tbW1ta2tra2tra2tra2tra2tra2traWlpaWlpaWlpaWlpaWlpaWlpZycnJycnJycnJycnJycnJycnJSUlJSUlJSUlJSUlJSUlJSUlJSUlIyMjIyMjIyMjIyMjIyMjIyMjIyMjISEhISEhISEhISEhISEhISEhHt7e3t7e3t7e3t7e3t7e3t7e3Nze3Nze3Nze3Nze3Nze3Nze3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc2tra2tra2tra2tra2tra2tra2tra2NjY2NjY2NjY2NjY2NjY2NjY1paY1paY1paY1paY1paY1paY1paY1paWlpaWlpaWlpaWlpaWlpaWlpaWlJSWlJSWlJSWlJSWlJSWlJSWlJSUlJSUlJSUlJSUlJSUlJSUkpKUkpKUkpKUkpKUkpKUkpKUkpKUkpKSkpKSkpKSkpKSkpKSkpKSkJCSkJCSkJCSkJCSkJCSkJCSkJCQkJCQkJCQkJCQkJCQkJCQjk5Qjk5Qjk5Qjk5Qjk5Qjk5Qjk5OTk5OTk5OTk5OTk5OTk5OTExOTExOTExOTExOTExOTExOTExOTExMTExMTExMTExMTExMTExMSkpKSkpKSkpKSkpKSkpKSkpKSEhISEhISEhISEhISEhISEhIRgYGBgYGBgYGBgYGBgYGBgYGBAQEBAQEBAQEBAQEBAQEBAQEBAQEAgICAgICAgICAgICAgICAgICAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAkAGHAQAI/wBBtBg4UGBBgi0MJiSocOHBhxAVNpTIECFFhBUhOtw4MeNGjh5Barz4kWTHiBZDmkyJ0iPJjypdshTZEubKmjRP0sw58+XNmjqDVgSxA2OLokcHIl2qNGnTpEydRi2KVKrVq1SP7sjKdKpVr12fZsUq1unXsmSrhiULtezat2jXtmULliBcumbHbnXbtO7cu17nnsUrGHDcw2qNzsTYcHFIx481MuSquHFjm0YtV1YMM3JnyZ4vY2ZMOjNnzUqrgl79WfRHqgYvyy7tWLTr25tzm97Nm3ZBAMCDCwfgYDjw4saJJ1duHHnz5c6DF3fgIGn048KvY5eePLr27cO/M/9/Tr58+O7Z0XNXfz69A6TXv4ufz756UeTa5ac3T9/8fv/gtQdggNnZNR10ywmY4ILrMbigQQ5GKOGEA1JIoIUYXqihdNYt2F+Gwgm0g3cglsigeBaieGKC1TFUoYrlkTihfs3dt2GDH6LonIwS7vhfhD42iOCNP3rYoYIpCjnfUSDAGGSMLCpJ4ZPjASkllABYlCGMPZponEE0elnkimJyaeWUJdrXgpliMkjUmm1GOWObbJrYFAhx5lnncEQV1WSegAa6paAsHknolEwequiiPWo5JJlVAoqfeSLu8OeLQo45KJGQOukACBJR96GHOB7nooNP8ngmnzaCF+aoaWb/iianSBrnKJWlopprpPnJ2Zx9eG7IZa+ZTkrreKnqetynfW01FqjUPYprc28G++Ow7CFrpKWRypptgPG5umqyyorrX4tH7cloniJau+67K4KaGlSgytsWUpd6WS28ZybK77+KOgrwuiKaqa6m/FKnkLP4Npkfs3shFG2G+w6Mqr+QWqzxcgJXKODBu3bZnFLh1nfuDoC4Egac427J7Lx7Qctmu30lpCNxosrrZ5LedusrshjfOC3IJoM4bcbctbizgjw6+d/RTPdc4EBE+4wEJdlknTUlLWD5c7IialUQngaHWNSyldqscL0IceVnyVU6nS3U2dlIdI7FSg3u0xmr/5ppxxvrWaClYVK4Q9bGJJ54Nsa4S6iaa05sdNCm7sUwVRE37Hjg0FGOMOeBAw56oO3m6QbjiitejhtGi+pmq2Wm293CdlnqcNUav8fyz6PnbiCnN9fa6awPLv1ot8iBYAzqi6cebPBmM3S72dyWqyPsv07cIrYi++z98fHJ/qtAkiNP/N7Cx803qZyK7rew0n6+a+HRH/h9kUgwn3ri5SDx7Xpu0RxB2AepN3kMABAaENy4FzXgAQdMx7EXvr42P54dcHgENBXJYPW/OY0Jd9l5U+FUlL/mmTAb/uNd5ZpkL61gbkQXvBCw5PdAqlnwXSrSnQShghS93dCHx1NhEP+ZI7reBUpN+kLc/paXja6lyIbSWZtWNmeiFlFxQ7IDYQzj1Cdnje1T1TNiuQJVxCFmcFGwmmGaAMG8NlKCWCzCXng8d8YvyRFVRLmi0cYYu4Q4TDi/4VzVGGikpDiOkOmjW8/ed7/S3U9Ah9MfE3dAQ+nc0Wx6lBWPRNQ9BMqRXB2slbG05TUU5dF8FQwZB821KRqW8ZEaMlgLkBAGN1AhjLHkY3BEuL4NhSEb5Vhc1sLAwOQNZFe8JCWGdDfKi8GwTmncYiVZdEogVnGP08wlAE8lxDJdjRKUAIQbAAFOQFDyUGDcXYZ24IblGcOcJUrKicRHJ3p6bIBiZBcu8/n/L90F8l8gcIPKwkDQgtaSEmHIZBXl6SU6pg84/0yQQ0E00eIpFF53k2hCOnnEWHkpnTFjZQOFF50WhNOgKK0lOZ0Iv5ZyiHCh3JMs99mdS6JPfRCForeiI5B84VSGukTala51yhx+rJfQU6X14ufJsWxUiIycDyAAkdKqjpN+odylv7DaSnDBrmlZtCaBDNjNavataGg1IyxzylKR0kmsWVWrJyECQ35RAaFVrSolqKCoivmurq+76IzsKaEE8lNMZkXnYYlDkOJgRIsSaoEr3JBXq1JCsCBKplDb1NgIafaj9GRTi0Y3yNnRlIstCMNkn9rRzNqtdlRrJhBhFAaq/+aVsimlqiZJqqTPItKt6CHrIgl7UxUxiZA9bdqq6qhWribvtF5TpgOoYIx/WNe62SAmf3qJyiJ5B2MY8WK+ohk1B4jToLhFaXpry7oLiva40a2kqtDF1MSej7GA3Y6OdOorvDG1m0nF508ttANXXPfA1nVFChVLwK1Y604vg4+gQIDXylrVDZAtFHTRWFE+wVdfNmVQRBdLsQ1nqAXlQLCKy9HWjVUTXU/91JtCfOIKWzilbyzTg4g7qOmI6lMy7qlSMPtAB4upwwnqKYnTlFxsSocSKo5yjjfbVQ6xFnBK8+lvg7MDG9+4oFclIFerVDBEBrkzlnNhVhjpYZtd6/9KzERYkCDIKyo/9KafEw/l/GurFEdZxXwd6ptd2jnA/u5LdIyqrRCa3kbfFhDAfeiSdHq0CF+Oh061iE8/V7ASCTeuAKCxMgcd3w4mNUvHBHVywvBnKbc2g8mE8RXbBcLpUGK9lU2vbqt8vA+rB1SY4wgLp2c/5l6nqKSu0lazadhs7pSj0FaOfZu7y+q2GsHZOOS5pimfoL0ybJtephtw/WVKLPiazvRjvYYNWzdneELNphCdiZfHd/duxJ7287UPfG6AxVmDxkvOjN3czeDc9cvovaydt/TCpVjubfZ+ojrhbWIg8fiwM4MprcQDAn3v27qBftyJsPfKCIrtQKv/JM5JU0ruMCCUu8/O2LoT4mAWlq/gIZMffzU1nYvDHKL3GaGckZpW+u1o2t1djvI+fl1jyBaOpRZQpzUYyKG9yY8xnpBJcdtyME+Z15Ge48TRXcfvmDWNd5RtkpuiPfl6FOyevCisWM30f7hiy2u9kpGDc2jPXnrs5kHCZHNdSwWDzj6iBShrtV7xDEZYeksWMcHFhIS6/yMMgcsy37l5rvCe7YAmvXVew3nOhd8XkPl1e2uVPCVRY6jd/DQY0o1m4I87XZCGZCzn/5dlRYbH5eGk7DjBqd07G9WDm88wlca8eSqaMtUxX+va0h596f4379H7OZF28HEWH5X3ydYw/+HudGfda1yFzpnl8BGKBMHyGeZ6xuX71YVVe35o9g4sJJFLSzwqfRbA2fFLrVYOqVd2NGR1DlZyiLZ3dEJk/kY+sedzHFOAZMQtEYdDEnhigOBx/5ANXJNPYPQsg5WBkQckMnZxFzhYFLggO9cdSAB4wwWDejJLMrhMJGiDSEBOgEAFLZaCW9InJANUrAJ481VlUKdqcQNsXvRuoCRpoYVUlNYcVOAKW4MEcKMk9sdbrOQcOXhr4ZRCbGZc8rceJQNZC9R/3SQ2iyc0nwYyp2ZqeeNW6CJeWkZqV2hnO+J6U0Mfv4Q6WRNyFVIQiSdvVLUDSIAEd6VQo5JOb2V6jv8nVldIHVWBWca0hshnRBAjNnr4V9BUUS2gRIvzdT2yiRhCBeZ0iIdoS1z0eSWIRuKFIf/XiuExh21Tg4d3g0VWg1QQTPuDQq+nTu+2g6hoiKZohq7ng9inKP5kicOVessXVHTjhmEDH2pyhMtlfWm1QrwnPlRyOia0PIGWVIh3fU1YHKaIiqkYjru1Pu9RV1BjhuBzib6nVRM0akLSaRmFhFCXKrTjbn5VdIJ2jRI1ht3ha8uBBLyYOk0UU57kgw6wV0hAjArHO/vFjFJTjs7mXXBlj+0ogb1CX4lkevM4O/PiU/94LBi1S6xYHrHYHJTAi4yzOqIkdrhijfgTTqb/aG6AgjFv+FEEko8oSR1m4YB1Y5GYaBARox19QpRkh3MtOTiYZVLloDWAwJRxtyggYIpUYJXFY4uyaINzwZVzhYyD9HiTFz1ieYkNBX0sCF1KmYNu0GLy1oJqOUQyJXBs+ZU3JJSUEXD2ODKnBUpqh335AWyG9HyBiUF/eX3FwpMa1YNwV5CslXI51zJ6045nuB+ZiY3I14S1ooTHdSuMiUDc+Hb9NTtpEzkIAiyRuJE855QrWSSf9i3v6C31pkA6pkvGgnjI+IgoGVNIKYi6h28W0lkbY5bhlhyGIijvUVtbqUVqdDFGiU64mE9IppfU0hY+pYDOlIJOojPCOYpe/1kiXWYMrnCerlCVH7WJ44iEzjabsthhciNGCmMXxEl+ywRIdLmFchVFCwMtSNNDzgZ1IHCegNAI5EQJk+Uzo7KcNDJvlLklxBl9RehSbKZVcFJpr/mT2bSZR5cazgIqnbN7z1ho1kJ/pKIwyNmTxfGUnNkzqqWD4QROruAuzqVDZgSf3uOZTXiY1WealpmLEepkLzojA+cnyamfE5oiftljJygahHM310l75TSjB2p4riWXkqel6xKC49k77Ymd2GEf+HJzjzmdFGKQqJIzLcQZgjifE/il6wQMOoigCJoy7WWDjTc4vekmudeK0UmkAwOESXot+MlB3UZT+LE2Qv/mpupmph4TH02adKf5kKcgowlqDP32QS91hzwVhe5JMX8qNEQ3YCXaljaqLPvomqlEHA52fMpJonbZZovKNq4hPa4DpO4hYEZXmcIhUFY6o3e3SALXKsPiUPERZDIzSjVZkOd3ka9mjzrKrHXZqtCko0E0h/ZmHRKhGo8KqdHmII6EleYZrMZQfLCYl/O0giHULJaTlkLaii66WJkop7aye6Dlrct6i3vaJgWWOJRgDMDgBmI5pcSBrSYnGDXjRLmKKP2Ke+wae9Nor+FxdYq4KhYrKcRaH8uZkQMCArREVVy6sQJGajsTH8FJjcuCQFdnn+BKIAwVdaN2qvRnsDL/m4yNqYbiSB6/g5FCI2N9+qMRZDxqR7P9CX7F+qWcFEKVImHUZBZTVGzEollw2oiqdJgVCkvvx5G0qJobioWjKqj3o6Ebe0AnWa0+WXZVZx4xO4cQV1g91ST4iSrHGG2K1pVe5LX5KSkgtZ/Oxp0piZU2u1jG6SFvM2M1p0XgZnEROzphk4lv62JA+Kz1hK9iCj6OGa2u6JXTmBWFKqENEy3fMbikqidOW595+7J493xi87l2Iqscqk3S5Iga1jWrWro4Nzf+UbLhMrGuO5L4oYmQNzUnWrYzSY5JE4Sz2LSxVZfBY2mTR60WWrEh9T1VO73F9V965rdaq7uYYjST/0ottaYpbMNDxRtqjbujp+cgWpFDEBMzSbq6SPk2TXmm8Bp56RS04SpxIyu2PRYb4bEV+guWaNquqWuGqXm/jaK8lxsvpAiCcUSxADNiYSpG4zoj71umk/MUCpymsJu96/tDfseMfHahGUm2w/FhwGu8cDViECq0rSpozrGU5ZedaZacDzMv0yl0ePZdYdtKQbKZMzskcHO2R0tB8VWWNGbCnJqNFUyaXsl8WXVsAsrD0AG9akNNnkuU0MlWBTw4EgxQ4dvAgNnBzClHCPtX/ds6aWM73kGmP1zDR2a5zZGD52mek0UFAyxvTcp//uanYdylhJXGA1ON/ru8IKo2A//XsXHiAC/oJIcWxMBRnqdQpQrqCpRQetE6M0sqhzDMbeiHhYqqvT4ETQLMHcIVjdtFZYYcu/uLM/PrRVHqoKHMHS0gUIyzV9NScg4QBsCQnuF0oMEMTsZAsBopUvO4SWrKwnBIaMQCMk85kt/Hn3yawpSLtGfFkmPsmz1SrzZauHnWHX3oh9mgYN1Gx8DRTpg6zAgaTsW8x0pHumSMX2tsMf+mkmZcRUZMu92Mlw/LImGQkG20kLE6xkjwTuHUCAlNTu2sg8AAiINasjhLn4UVnmC6c52MtvCGrLnpafIMSKDYi6K4eRQMUa5wqcGqg+usoPVsQTSCRM08ze4lkBT/ySrueJphh3y09lKpKrtHHCkXPJpoCyMM/L3mJdC9mA2aTHVZJxzUtc51Wk4KPVULSs093DdH0pPdu8o3657ptDl+LJjFen4MaGw4zaDgPJiKCYC2YjcsrDySZELlAIjI0XfZAU4pbaUMnaAJOr4O29JqeTDXizMvW7spd4Ez/Kr4pXw8E7NQdSxuCMbMBRwl5E6WrTjZkKdWRpwOgMlQPaPDPFUK7QqA3ciMjLuHd4JfRCI+BmTgeZYinK8LUdasusH5zCggSWBx3YuaTdLMWGALPdVW2tBW6gpLnbu0edohjNxy9niUMTaNGl6wJaDM/dODQxmFfcIjx1LQVL/W/7TPCALXS9Q8c13QTT3JCC3Mn42pjeAKfCXETZyocoqiYwSrXhq6KXtpeRu3qBtud8mRlylFnlvLkWpHNcjEyhXTSrd3HOQGSH3ZBD01JS1ZlEDcMtrOKW0MpZ0matLTf5m12gfLsiURYZPFiBy3xDai3AyPHgI5KPy12gzWy01tgbhzRB3SqSOTsUqcGuDZKd0IDb3St80xGY1DbZofLnRyryyZv+lv9wwv1Xl4qEex+eOHqqPhkjmhKaPSej3coN0I63szHX6cLyMYf1Rk9bLNZfLPG/PR4LvhILjMMXLQU7k8U/mBRB6+UyjVwu3lOmgMdB2QkA3eGi1DMLbFiP+7UVTrsdy1PbOb4HVmttQ31AZem1bNHHdovZ7F0Up3V4njBkvtwxP6kMA8VQs93MI8kdWNPEbsszLtn80inMnz2rg4pGKHJJ7JUVw1dWftXM2XjY0c2NtRMWMGZBHySsCt3nmdoFgaMHLOnLRYpk4CG/A8Wh4dyOXi1rgd5bidpb1Zcm4ADKGN6uFU1Va7LFOE284t7d0cmzh0zXTrcpiMUHDusAPs6PNMzw45twQiUD6+0sXs4Zq+U5WyaWUjLDsUM9l9xZD+hs2qexjCTpjMdQoKCAw7W9ut1VvUhksFf5D4RCvJorkims9ByQld4Zd83GfNoF00UUw8pvn9ppP/TXbdvYceL1m2pV4rhcScalgvnnRU7HwHWHCKNDRQ6esWh87ZkZN4nJ7oKiklHtRMFsuNBZSaK67q6iHjZGEvRzoPnCbc3u0mIvWcpfTUG5EL/4OtC3T1nh1lTodpP9H9VOSANHi5VqNkRMKtnTN38/UlCIT25qUy7mQvjzP8PpuZfrBtjKR5N4jqu5FHE56QDgCqpV4p5d4H9D74JEVPcS+Jj2j1rDSHGAZUwIMkvOpNPKIjwny48kqILX6WaNEpOr9O4bqSNuNyvx3gLK6id2Nh5r3S4q1Qmxic3i17tktI4AZ4XU5TlTLlZEurH5KujFVBHLUzn7xm7/jSj1/0/1sjF3/FiFsVce/T2w8grt5mQq90vW9hyn++prfIaiO6rpNA89meia38K5dr6+f0PGiT3g0QAAQKBLGjRQsHAwcmVCiQYcOBB1vseOgQ4kWMGTU6KHgQRMWGHTE64Hhwh0GDLT5qZNnS5UuYGkFMBBFTYAtKYcK40dnTp05KNW22BFGUZEsHE0EiPVjRARVKlAD9pFpVpxtAgCi5ETrUa0YHKbt+5Sj269mFM1MuDWnQaVKTJz0edckWrV20TA2+dCrVqs+seQUT3DHWpciBO7Ty/Nv4J9achgfbTGpwJV+IElVa3LhQoVPOntNOdDvy88mEJUnLVUnXq92leDuHPv/LEG4LiCDtUnH1uCdjV0gu6h7+WXTMsAiN0x5YUCiIMK6mOqb+OCqS2Mcfbke6PO3Jy8eZLzS5GexkhTMnKs89HPxqsa4xi6c/njZ3lvhDg06vtH775lxhzCo3gvIOANle08i/l9RKCCcBGxuwOusAwQ1BwfQzjaD1YCvuJokkQw8itdxKsKHKWDOKshFbrI2mu8LI6S9KqFAQphMTcu6wgiyLbjoKd6Jqwqq02sFFm0oUMT/NDDtxKJLKW5JJy2p6EkMks/SqIw8PiwrInrSi5EotP2tqIykhJDJINq+qscyXTAovTpPw4g/L/XJL0TwAUTSTTy2z+7Au++7yqLv//GSUzo0CjaEEu//87FPDQc2kiLmyaHIACekkpG5Nxwp040488UyQuIx6ZG9Dhzoyr0soi5Jrztkyu/RAXO2zrU9Je6VUO1/Fe8jBXotlDgQqxHTjVl5LLZRVZ0vlEkUpE+JtwAlBFXLbIX9rTCoyByWzIvUoIrWhJl0saVa2woVLNnfhlPemwpCUb17Kzmx1PfagavNf6nIK117SpvzTshHXnWsyuAyGtraEkViVLIQfxvdiGAEod1UktgL4YxptvHgktSbGKN1cgeVs3YpxFJfBMscdqgUZv2Q234OerRQ5i409d2cOVSJt4h0i7Pbov7T1SdsCjzRV5Vp/JnG9/7F0Q/k8Joc2eFes/3RSWHGNdfbXPEODChDG3JDuwrKfRjDjA38mu9B26RsY3tVMxmlNIkHNlkBvQ6WEbZ7p7po8y/CS6GYoyzO5RdRuHPmiFoz26c2Z95p885H2vBcEj0EW/a+sBs6ystaGQ9ld1AtzOEO4Oc8rDDB/G3PmnGW3ty5ZTbzI39GDr+pROMlUla2r28YySpQQEhTRuWMnND9EgcYIdG0HHwqx6SMlG9b5nkdxT1qbC/2qT31DOunAAbu97Ryrd9uhWamlGsc9Hw9b5/tg1HBuAEYqWvNLSNFCBrWxlYaAYkuZ9/Y3QET1DlB+Ah770BcqwF3QgjISTv/hBmi6z/RoTsmzW8lS16yESQ898YMgS3Ywo+E5DVq2gRlZesY/+TFwY68DQW9Ex7T0CU5qICTi8Vpllo1sTH/zUqHuhpIVq7jidZSrlxNjBpeWsaSCSxNe+wBGvJHlqEMFrJOv4nLC3aGpih60ogGpgravqMeGCWtRyQpzKoLAkFvVUVoXbWen7h0uZcxbXIju05HECfI+YBOk9EglPq5Nqmv62Y5WgIQVV8hwfiNR4P7wKEkHKg9XO6xVRPS4wT7uMYNVwdblCGe4/8zNYnlDokPyV766uQxoDGkiCqvHwu1BxRVREZAmFfm2W8nSevFi40LId6WHbHF9ngoiFzH/SDxmzjGJ/JISeahWPt1VZopWZAoS1sjGXpITOZ4DIQCw8rFUqlJ0cFSnNxOHMiWBM2YtSWcpIVZPhSzsYu3sHL/0iULs+VGhQ3ofORV2mcWlZozNhBpBAeA/RjZQmbCsKIt0JlFjFmuIy5yh3bCIxmMGSH3yZCkfV2pNebqCcHeCFU0zqrGCjUUzKqnlAwVYUgT2M5QPtOiGpNZABHXycCP1ZQsLer+U+olT1URaK9kUT6B0UJcrrNbB8jZO3a0HoPUsS9XGehEJHpR6DZHRQt16uTCEU0nIq1ZR5dUwddp1RIc663BOqlYoFeitMA1e6TbHPKWGsKfWYxWqnMoS/8RQsmeme97/PAjIhSQWhygEn3eGpSrA5nIkluPW37zYJqui0k38cazdEHjELFKujN07ag4lGxGU3lC0C8xQsKKqo73Ay7di6+z4ujrZwyUUnl5M7QY1ODywPvY8CluiN/mKVCvuqK9OTE50B1qWRGqph4MlLyVCerpuopCEDITSZCSy3XC+t69p1asLT0lePwJCZP6MVf34AtrNrlVX2EXrOTc5SAIPF37s5ZV+piVSBn/QZ171LoKZ80JqahCIGcZqkeLKWM8Cy4TiE816RdtabdJUPR8RblNxtVHJ1bYtE4RwjQcct2f+8obGwclLT/vj51LVtNvS70+NbKmWQf9zvREWpIwXhJKUqITF0mUvEZtF2ZHIl8o7Rg5oW1zH8/3QuYQNknmjJmAElQywLUDCVCAFohrCdzRnPAlKZsLie/WWJHke6IMlBzt24Qsk48XvNP9loIR5zoWAcIWjjGGM3jzIkFumY22Ksrg6Q3nFe94tyeJyR9l1ZEn1FSD5Kh1hB/iFlYUGWIFInWb/buQUw7SkVoxhIxJS6rYQBCaMHcLN8tR5aB6Z8mzsCOVXPnbXu0UdbZ3tK9TllqQ3rotggTzkvv14wxp+IyAkhdlSgRc8XeOUVCjRiHNrRYrpVReX5/NrJJKkKOpZj1xYI+Upb0dKLF7xWq1MLc1SNCb/9OVvgBvM1vuuErXBY0xO3j0cE5bnZ4y2pFQAge5bL1nOKBoxWOR96XoLWyxSHhpIxohnjrw6PbFlGFGOC9CpKpzV1QGjoaDqKsUNsxEVz0ojpOOqre2TLGesMII4AnL4NI8tSqx3iF6dnGQz+TV/VbmLZULa5S68TVK8CyLnVDK7IMEYWTG3mMSUkmTWJylIoILJIIlmy77NcXymzJ7nLVDZNv3TmkVxljXHQKYa1aCfbCrhsZbq5o7Z0EF+rtJc7VoAUTfPKRJRD9NddqkIiN6va4HaHu0oxuGwuLkJNo236vFnHYXT8pYT5IebKbOi+aam0hq4fcnsSi3lnRhc//W1QTahqRTembU3o6Ygojaem9sYUTa9QnYAaYtTotH7vWum1nL6lrukQ3mJdvEYssOqZ0maM/8i9f8b5RyJ0OSOurglfQ6Iv26E4uc2NyWMEXXsd65E+to44qTdIH5pN28Cv/5Dl4TrsKxjE+3Bkf0LFzVjK+gjJleQqYuaNIx4vnTTip2zPzc4s8LBovCaJIuBpi3hl9GDtYALsSvbvNIDtYKDsSchPMQDspYKkm1rKcOapP2zkiSBql+LjgmsEV6aNP0Qu+jbQHVLjQS7qdZpjXY6QY9SI5hBFRqKLRhUneYRCwnSLbjLvca6CDeikOZKrRtcpeB4LY3xOsNziv+CIb3wuI3QUwjk+5KK8zn8K7jhqze1qjpgYjC1kIwomZjt0yYMYT0tnLfU8LMC/Awokjnyu5wOZAoTLCrwqi7cuq7fobWLwzyuYxjr+7/wk7044j/qYo/ksLmPwDQfJL04XEQMe8Sr6kSwIMDByBRLrEBMhIjnM7uKE5Aqy48mBCyfOrAWekL3cJ6NaR4rycVjijiRu0VFfKRcsb1hxJVGpMHey7CXWpMzzI9AE0XIWiwK45X5M7tGWL4XNC49jCQJA8ex4SibGhRVGTYdoQliWTDPCrmmwDOkuL5/2qUltIvKwarEa58ytIqoqKkQZLBdox+Wu8RLwQuxGyZza7T/D6O0zwjGGFzE65m7ivi0ovOmjwsknEoyqztJ5NIIqOAbMeQ9G6TAlckM/iMY8ACN22g+LOm8CXw0QGhFoJEVqrGrUGwRvLOlHvk7yBIRseI+ORlKLbE2WNQWVzC/jFhKkowJiZNJZsQIDTA+skhGYZQdgqLGNBuaccua1rg7iaivrLzKMFoIrYDFlZIKvnhIJGlL3LLCu6iPcllIL+SsHQiDtlNCfITH2RuwviS5c4qNEslCE/zFQlGzjZJG5em0SEko0xrDbBwyq9AKoUiQe1QwFRQlJbEunKQyMSI+ECu1FyqHbMiGcnCDO5SrpluJ5CDM3BA1E5q3N1xNxvRL/1+LQo3KDKy7qtEpEK1qFqvcyPaCt9zBxdOcDFISL2PIhs+rTlcwxoSxo5kMTeO4yVYJySSRC6d0kReqncEiEkajygV5zoF6TI1jGMmEEzewzuuszvOSumZivUkMCav8EwucHNQJy3rCCfQ8TgmJivz0u/KsypGDKiebJFNLKblJD1ewTvvEUPj7NoZEIMYkunaZO5Cjt628yr7TDfUTsLgrzNGUicVYKc78F0YbFRATtS9cJBxNEA24txJlUdgQRzxsIBCwz/vMhveRGYPLw6aUjabLtEn8nqFyveVQGPnQziD9KQeQkVTKtgvizALpxlICrpkKFL9TEfRCSnkBBP8i/bxsuMjqI9H/sx+kuzQDy6s25EgA4I0DFR6Ke6Ur6VFBi7boRIt+Q0mv2IEMfTTrFM/O+Dik88e6OAmC+Cz4ssV/mxwQoDiFKpCa8zhOQxxG5apVJMYcWssoRcP7qE/7LIdb07HOOTqh0Qzmozu/E0YSiypq86tYEyUZBCoX6zxVGx1GCwOHUQ1hs40U1LWMWjatjE5mjTy7XE1lUwxIazt3MzqkK6TmwTdarQ9TzT8fLbXCC8DTcUuwUAxNZEkCUZZksxph08OS0U9plURAHYw/xNQnPKmdIjbbFIzWw9PchFSBS6O0QALakT5aY5SlwQp1Q5s67cg72jNaCtX/vQpQgplJjBS03ZSyPeutEEqnBkWPBwTY5mgBKtiJqEjZlOUJiRkYFboNAr0rdhOlHHJOjhpN/EBSSQG6bvVAuxChaTPUhzM4ynOsAJoww6SMfHpC77S6eOS1ZS0xIrxRUv0+r6xZgbPMi0LToeWdLNLZ1/OtE/0pI0LNeQ3IQFUiyMzYJQSL+BQMnBPNrp3b74i6p1W2lRvUcNvLFRKWAcXVLgSla6UtYyU+obzSvT2Z2WqR7iPEf9Q+vYWdyDVX7iJXki1BvXOe4qlFxarXWAlKPA0LnxzYzLrFyy2waD1bx0WPYTMKsC1Qi11Roy25rRo9o1VReGtbPPxPmg1a/8rkLVLVi1dpUVSV18oSQfqZi2xyvb6LG5ypGCicmq8l3pQ8Mu8Rq1xSVq8dp7EdqIPjOPKkW+rtXajVmbhFXr4925xtVopFphQMJyrxXO6jl/YtwCrE2NPdF67NXwAdXQBM3e3S15hFXJyaTc4Zyj2pSf6FrfrV3TIxMaNCHKXKpgiVW457ub69nk6KJMPDWeJtSOstSedpyuHcrA7Gru3423+M3lyVMdsAumJMlTutKQcG4Z0hJBckquKlpDjzQJTUqxMbjU4CO63tKMEFPIhrQNxNUgvGyF+JqNd4TI6UN6ULK/9dYFhzTw4BYCv6ODrTHyB2qLeF2DgNYESaXP970S4s9jst9j/TPbVZPDYtXGPIxURprMSe9ScOFk6nsKM5uVvS7Q/cwD2fOlrn5dUsq1cYBrEiRgpYdUyOZVxxTUfyVZ1R5TXQPeLg/MtiTBGBvazDhCD1aF6hvT3O3eIJWrpVLOITNspj+6Zefa0v+155vakxhi00ps1tDVkcwd8FttReDl9P5M2OhVVakjI6xlrT5KGC4WWb68++6mHuUuYsfuMZs+Y4Drl7g7I5TuZSDqjZ+tlBBFxNjqW4qc0qNeJKDtqSnZIVjVocbbIru+TEzQ07szAltTeP+DR7zONvfrFDjpbmZWXwzUVyuVpTDmXKRWXNLVdUJZVRruX/wyXnoMllVsRf3ShcFaELuyu2ZyvMTSbgXF2r+BSnWnZaqXsIEs7aha6LKVRdvI1gPYa67v2PRR4fONxoiypPFHtd5izGmbUfZx46oXJgtqUTbJ4vf9Sr+cTWL/Zob7aiks6dnxbO7ilbsgLApAZNk6UCc0rqXv7WFFqL/auSo4Zph2Iiiz2NWyRkJH6YAf0yGr7SWeYlvnu3HWBYnmBYC2niivpX2VMmRJqVsKxqDw7XysTn8g1oG5M7/+Dhdr3W5b1oQGzpwGtHmfBLDw2od/JqJPjsHTBYzFkqmZgovy68KsZDQ05rh0ZqnIzooc4PrObfdRnggEKbz87t0M7t/zYLA7v6wwaOX9uOagEt6f2tXC5m4lDTbKSYit3mbdDO7QX8SuYOlPMl7teglbupSnqGM3e8bCgFsB8uZMmmWqODXphIFug2p/U2WBqVUvvx5SWOYf9MLIJOvc1ObJD2NzZjFChq2bV9sVyTuzWCUnecISlG35PurFvN7K8ZpUfR7faO7p50NphV50Duj4ds5PE9aT4OKNqBIq8+2QKZChHhcOgExD+MbYhbZeJ+l5igAjeIbuje7efmie1Za5FuHITG7s9IFjfwbBvnbeSsxfXKZCdS4tbmruMeiSBf7+eu8WS5IXrDzfjqcR9vgayggiHnbRv3F4oNaiQHx8Dj4f9dJedYLt6hgmwr/yBA8PL2jvI2i72OlO+H+12yAbtAmsxJBt67fYiOCQM5p/H1xooTX6qrwSLtPlXVndDqnWvVNmeb6Cd9e5RBn/DP7usvNFUGX3IR7goDp+XBHYwXwnRTN9gNxWzF5SvwCu7+UmAfd1CwytQal3BbbzMDZuvKFuPqpm2WrfVbf+7QngqCQpkxD6OOG/XTLWq49GxgZ28KByuTvqvs7vXTVW9oz/ZLj3Izi+L7OXa3rFAN33BlDulGDuK2sdHgBQCd6HJTTxYbhrNZbtFQT79xLuGkRexNuhOcOPVn522oeHDeahJRu92bHcFoe50+NG+tJcvD4F3/sSl1f8/tnfDAB2vllnYqPR+PhRe0z/h1Qp94aK94Hkdnq/6teSTlDpelscxavFyqnXh2YQ94Jpt2D1d5fHfORa/eaqxnAtOvib903YZ3kpTVHD7lbfrkWG9xpX+sTBV0mf/sbp90O6dmxgX3+cUXLQ/50Hb3Lo9yQKBzTF4NV394YT5woQtwLM2pYt+KbIduqGDPw3hfFs/sow9hJ1KMKBf6W1/vCscdLRN1QNYTrfkzuGZnvA8w55i8Sc8KWw9tDjrwyvhph79svrx3Ue/zo21eGRf5OPfyN/dNKP5d7qtEcPI1cVdsnvdVGHfcp/ALKjjZrJDNHdO3mQzj7y7t/+T+Z2XHE50wdWH3d8Eseh1HehSseooGWO5B+7agHZYF6wK7w7oX3j9e3Sz5/a+H874fcp0IyFvmvmRfRBbmC2lmfqNuoUJtTs5JUY7cCaHn+7f/7O4H/CvOb2fZweQ3Mmrc6Q7P254HCAACBxIsaLCgg4MIDe5oAWJgwoMRAUxcaLBiRYgKJ2akCKJFw44cL24kOFKiSY0HkbhB4tLljpcyY76kKRPJDkBIFFLc2OKnQ5IqefJ08LPhQ4EdhfZUWnKoxZQXQVAJgySpU6JFpRrdkXCpVqlNtYIFWxBESKZEy4ZlG1bgR6RvMWZ9C5UswZwwb/Ltu9elmx0omQINav/3sFGQO0CYPez4cUoklNyEAQSoBWS7IDFn7uzYbNzGnkcj3syYNOqwICjNrPkXp1/YgLAiRis3NcSjLcyKxv3YASAqMCn7NgmS9ufidifeVu58o+3To3tPDx7bNXbYLqkAom6wcFKRYukq7bo7+fK5UNnqlTk7akbyCNH+FD90Ke+792s3xFtX7X5qyXfSWQ2dpx9iYo0XVUFUtNTadX3tQBmBDFIEHoCIGegdfgEKiN5AetHEXUT5raWUYob9512Gg22lH30lKviihS1Ot0NIJirYG4sXAWKVTa9JWFNlyNU4EFBepebARyo+9yRElAgXkxtU4MZkQ4v1CGVnXW3/yaVnXXllH5hh7cCakNrRFOR2gAiWWWI/GXnkQXL6V6ZnklHmxmW4xXXgdHgSBZSgxYl0lHSFukhQGA9mp91NNAU3GobqrXghoDM+ZemHl8JHVUtzjgUfQbY50GOFmo5aYapkAhDjjh7W1WGnY/FIEKI6buqWrYuC8GOEfv34VHzGmdbrf2GBJN+CLjKLIKcJ2jhQXKJOq+qz6WGb1nO0wqnaZjLSeCtpv+oUm00xhUFJGMU6VumJAtaX7J3SbroqjdGuBZS7o0JGrr+/obhYwIvSa2/B+Z6lWKptOcwUq1RMBhubsHHXJ6cnwTvdvIqWuWV8x5H2JZj00elxwjWa/8dZvYK2wGeV2TUqpbWfbaxtqSChvPNvR31JMoiQhaZwvacCjdpmmUJL9Mg7VGbZnoBMRoW1X+pmJKvQcUsqgic1nDXOLSc8EX1KM33ywQcT2HBz+YoGAhKAZMMabaL121hGf4obb9rXkoVWVVSMibNoN//2Z6ICB100tK4GzJttDn2Fttpdd/tqfwYbDEIY2fzz+efZhIFcw4wrhLjRiadsEdiq2ktdWYbXdizPtducpUMgMHaq7Z7BuvpbboA+/Odh7Lyy7L4dfeV3QNVc1J9m9/4tl1gqhrucuy+PMJzLptZCOcQPXw7LH0NUdvJgbt/l1bM2yyTttZY+o+N79//NN/DISsRkkzhuZqDkHvcwWa2HgAAgFMImIjzxDY8SdouVhdhSonA5a2koy5ZC0reU6K0PX2J7nQUriD+S8E83/pNeAVEDMJN5Cngg8BwDQeeKFIbtXhLx2f0o577F5a9fmLLTcto3vcvx7FS6i04Oi9i2zLwwhqDLxvMKlRglLalLNiRN+ha2oSHWkIttGVqgNJcZkY0GBOFz4j+M0UEd+sR7VuQhnrC0xEMZ6HlrU4kPDeihDmIQgjtsC8MYxCuV7ep0WiIcRFyBxjQCbH76Mpb0+vjGSXoLSc5by8rwVsUP3umO+mEW0OZnHoBdUYxcgYvO9EedMCzSeC3MmB//NaW3HLZKj1z7YykneEmtLdGLvnxOtdbonF4+BgTGcKIxorizWf7SN7KDH1KE6RxpPml5OFROB1k4GiSckXjl2EkzB4bCcD5GiFp0Ui5lVTrHQSyJg0Sk325IMFu2zo/z+90IM5ITGP4jGxiDpesGeJcmHSiPlDwoAeNkGLIdp5IB5R69QJZQt4WwYKD8zjzPptGWeYmNswIV1Rb1wFPSkyhl0+QeKzqgiiprl7nJXOP0hdJHbjKeiisKNMs3wocmsU4/IdrPIFpKnk4kRQb9VzVFmiSMbIacQlXUz4xI0CxtTaVl0qZTn9S/OmZ1qAd0KebG2UVTIsRo1PRinHBn/yDcHc9giVHmNIs4RS3Fz6OcFOhhKmW9uokRdqaEplzuViv9ua6eNpyinHJntANmlJSEtFxRyGhRr/61kCLco5gCeCED5VOd8ovpXITYFaywc7IsLetRAEgyVFG2rIuNj3kOucGMbpSsOMNqYQco0buO7Wp7O2n+ekcrDDlgi9OTo5aa9NTLGbEwzj0iY1Ik1re2Nrgjc2MYwxnb3RmyY13dEYYoOD0OwoW2tkvdVql6PaqqV3UZFOtYK9eijkJVUJmF76vEy8cwjRFR9IHr2DrJFd2wrLg/jaVlU1YiqSbJfwBULP9099xbJcaRp53vWxCI4J5CNlmexCWmjBtaHP+Rjoar85oFS/tDc97ysSztH6CKC9ORclgjTIKfCdULYR65CiMwFaRbQTsuiHDLsf6ycI2XY5vFlHiPiNqpTW0LvCQ19byprZuIjcI7/qKXoKlN0WIkd9Yb6lS72P3uvpK25f5WFc1yFO/xYMzUH//JvDiNsJdx5GA9O493Y07zn62rLDuj2ST0IabQ/CfMs3akwZGsLpBzoxjSKXpgAKTiqry8Xj0/+CPaQ/JyeQJEWtaUOk1yl65M184/ciRy+LWujNHJOq+u06pfVW9uL9sbOSPEuOZ5iIGNFBcdZ+/Tgs6QX1mtlDaD2MTO1vWZobxS3v5t0u5ttpOjyVPTUrv/t84lNJeGjTX9xg9Wp/rfjo+NVu8yTzmSdfOwdxPoXwe6OODhl/nyy+xRlreqBqYyu4WLNHD7UrnwThGApVwqEtcbN0utVqSTbKvIHWpe1jMbgeU9spS+UuE8OfVYHYtilBjYsDV25LQ9kjRRgZo//s51xJvlQUnLKdgqlvnjgIsQHK7szruVOF5X3UISR7CvtRXkqHeacqFrJd7XDtuH5yxro3f7KfcOOKTxk7TunruuhB2yDo921LbIeE4cUvjYGYs15QmMf7hbe9rWeO45bpS1cTfhu7v15PfiPagqFGi9cZzwC2K9viW8Xs2HKKan964wnIXSqfxXNU4XXvHH/4Pz0WlKFmZDue04BrNDpq757zFcfYe7dO40rsd7cnUwEuZuTQO6vp83hY7nSTbTFcw1tITnLpUU5eH3DGHqgf3I0GImsmVuv6LjClFgJm11yVbppfHq91c0kYUFe2GDBHPDPUwNbreNyRJy+oSwT/D3N16g28zbYQp9CIEHD73Sx7XQxUG+L0tuKAmnFoC6a7j6eJ3tEFdCYB77aJv9adc5MZ6hvAvB9QyYIcX/xVH1WFrV1J9PtQ110cna7F3Qbd9gzJRDYZuuPdtL1ZH1dZymfFhYCdisiEkdnQbubdvyMR0LihqcpSD9QGDS6V91DRuZeMtR3SDaRR8IWgpgIf9aAoVJx9QgdEgXA1If1xhZPGWLbvgd31ghWBmcuunbqxFfAlYP/tUOfX0GjKleGJaLACrKxojMYs0O5zkVAKpfZE0fpIHfA3LfkmmWHIbbGsaROf0bFApd5ISd6WFbqnkY/rQORvzfp93XIX3d8ukgq8RhRZzh+cFc2ukWJ7XcnEWiyZFgZLmUgalV5SkF4iiMEBbf1yHVUJGH3PUfn/nPZp0iRUVZGR7ZsCmhx3lWCKFcZ81fJHZb1G1WlhRV9jRXmaEiuslfqEEeFyHPWuFbv4meoPDeE0reHKahR9hhyWQcaYVMmSFW4nFjF0IVBX2FWYWMiHkM77GjNn6gOXb/Rio+o0TEG1hx34EVFQqq2Ds1oCJClN+NnK0Y4N9IXofRmu95Fz4amUOJEifKowquTj1KUtwZS0gslUkdGIoknXxxoD1x3NkMUv2IXx1G1QkdiUEl27JYDwLSoRSW4GXlHobJE8HV2unkyvsR1u9M0Ta22y2q2+ypRN753nwg5Oh1zZpFDgpKGzaxHaxdVw7eFDMioAalSDd+YZTNI1Wa1I8djmn82fvhozNyJZdc4ZJQXPNFW/NlST12HlwCJBl2jzWO2MupEOg1ZeaB4H5VIOW8JZwsHlPlI5LgyJspzdd8JM7dIJL9HDCmnz5e2SepzKGZXYtBBPlJDkFdYG3t/01izpoKzqAA9SIqaeCGRY57sRi13EaTQB8Y2ldEbh+L7JoJWaZjkNexlQhTamVQSpPc0eBNaR39lUbr7Rxhmgeu/KRZ/p2lrdl1teNvPBgVLucFGdpwAhJ0rqWsVZgUweZ5/UuV+YZait9onaM5MtrIjKEhPR4OulFFEB1AAQ8lKt8Oxtwr4aSQNZ13rWLfyFj1cd9X2lIrqmKHaV/tYQv6qWSXHNqW0cXF2ZHsFCXQgdo/VuFd0VhuruM6ht+FZYSGvc3uRNtMBaVQxl5+vqJMSoRb+oQ37pDsvCN1fpdCOReVAVMcFohkxqiO9twCBtEacugQocVVLI9y1qEpmv9iWQ5aFNVZgCbgb1bd/vmaamrFzSQEPhkoheZncQGCMRiDKxgDJWCagJ4ozt3LG4aVhqbpCl5mVmhYT7whv0kHI26lDdLQf1LWJure6F1c1+3boOzSnCUpm85XGHQpJTSC1Hxpd8QXSLogZvJf9twolPqeYeKohElqtLAgRE7SXjoqggroJTpYeAZXWmmdLSrKDoCp1KwqohoDODnVVDmehNrXu82VQepodjUTU56ddrLcrXoMcADDqlLCsFKCA+WqSeonv6CXR7rj1jjfMOLqa8ohWnaG4UQExGWFpiodYYApsX7rsALDmyAiVTbmf+HHms1pnQbkaF0qFQUhabr/4kzipyoFGanSacr0DwPijWgdxLnyV0RlCBKoKriCqyu4EkfhqyC1pljeYYjxmfzxZwstXbIqLNAlZEgOhmriZ0Rk0ZtF4cVqBRW4wrAiaiN8qyu4AU262ESmBGEKmm/6q+S5V8tVJ9VV7ENVaJKJI6ZSXxaV5oZYJG6k6qECAqISq9Q0giu8quK97KQqDzXC5DwWKWrAmDMdpzyFpdSalCuQbMEaLSW4AtWOYl0i60WqBi/GK1D2IVSNZ1oipZKtnIKuKS4N7NcS68GyEQbtrY0B6qcCyAjqYGHG2HKBDUF+po1Mp/HNbSL6kNRlioFaiF4lLnLeLJxwqbEeLSUA/4Mr9J59FuFGZOfcqi1LfUUvhWLIAmyjBpiZcupk0s+/dmXfOm3j9Kx4jiznfunBCqqhiC6aRcfYapft8oyb2hvtKimwskSoeJHOeeeV5Mpx2Q5VWAaxXkUz5aLxnq5bYePOZiwY3unKqlwTmuAIvu79aKElppOy9adRRhx/cg6xCgcSVAa72ObMBSz11KqdkhTNla1XLiPFmqinlul6lA0cjeb3noy4na1dxeXiJuWZxIxrOAhrdGhsKlilPocGkQVbFtEFEVTwVhP0SitRAMujIAGJmC0T5qFn/KyLpG30dkvsSuufkDBPnIlf2IROzKWkid0o0t1hcW9u0qcJJv+rE4LXS7YvAvcmmbLpaCEugYqiO93S2rhBYJywS1SGrigudi5dtmiM3/pN+KFuudJtT4lSn8GlxMorzr4U3PHvasGceZaKlKDLS1BC+fRlvS4Mb3KIC69FBtswmbHw9cIJDJtl3OTwTVSJ6qrQ8ELGH9ch73qw0PyhIOOTDTvImggJTYQBwkovjlQTajKxJU2XSO0vo9ZdadZlIkLmHq/u2JmK6jKmKoPYSbRHsDBy6zJwtGByALdilVJOsA2o3Q2WUDSmgqgnt8Gy63JPfMSI4x7hTB4oo7ZAHQ/JHRcYG/viQgCpzuLR5CIMJjuzCu/yRt6lxQIePE3opDknVL7/c/BccZpk8aJ+FunycRubRSTvCyGbo1ERkZv5VjPbbEHgcKS4xg4P0azi5TWpoZhKczp/j3S58wE3MkST6pVNTud981NCBLCwyYjUM0ELRDk6MN9t55iqnQh6VB+RcYVED8Syk84SIS7WZETZ6v/l6d/eL70SRQRPiUxQMNOecYJ9sdqpL7JN6SPRl9AOKusmX9zNEmDVh0x3qsSVL1RTyy5KIEWrYzFv8wMrxbqYMP2Ozk5jdc+YVyMxyD4P2jKaY/OqnFuGcDSSn/kxxusBUFdN76pSAV0rBHxO0wbbjP+6mej26SR3NFj/C46VH3sdsnA9Mjo+tPG6Z0AuMZqi/x+Gju7rlCLejLNmi6T3tbQhksXhJWPl2g/4bqr5Titnq2tHcqaeTkVxBk1FnJljEvBHMmaLylPi1OxAp/I9v+nO9bMPm/Tn3m8Rg4uSNPUDd+zxMlE/h9NmLkcg51t3OgfICXKZNJQIW3KXSDbzNvRbbHcMR7RESjJ3fyNlVzZKt2xxr3EoWXVzcV5j/KpoeyZN4R5r35zMEm5rv7JuD2hylzZPb5bqgO9BAtFsWogQw6yJ/eMkKuPbzbZxBFYDV52ONKwB4XfqcrEUh2YbY057C7N+aKRycGH+2TXoDV6oJlZOr/dz8qbz/lJ5Vk9bB1GJfzCTnpCYgV/GBa1iZ/+3oXh3ettjUkIeaDtHMMP3UBQlGX9Q6uDdzGZi+PprhDlElkV4isVLHun3c1uwSVz3WvOyw9oUjYESotUSqd1a2QpueRUUiASwMm5aMs5xgSP42jrsmNG0+HJ0JxYoUTWbc1vSuF40q2gkNfGbVV9E8KHb8AnkiGNVKydovDacj8GXTi/2cA/wwCRcpZdyYdMljZs2jIlqjCP5cxbpVx/W1b51Rbcfniz5RTdPswL6qGTrVde5qOYOsFHrm5/5eW7NX4dT8XL6RSj1WX+ckaNy8OmY9vhlFIvFqMakiQMuUnPbL7/UOGb16Ko2aAb4tnp5pfKtEZN0GB/dUpA32vb/upWvs257ooqWOokOeqerMyqN0xCSLqsjSNRe+ifl+BhBdtlMoOyi9wFqtFme1UKzLY5Pt0Q364gnO6b+GgnfuDlj4C/Rev65Ywcje0EoNYb+Xp8JJx9arr2jPJL9e5vfq5TBOSord2xXrCT5OXniEc4nUbXvtHxCEjoR6cdhD/RZvE3jKxRbu481VmdaO9PwKrI2uxKX+SLWO/FdInbNNGVF8vqcYc6I98F7/I7L+IgVe8F5PcdENzZhiXR0H5FPNqzXeEVXttgTZ2KXE+1UqFFTKmfoOs/L8VOFeteznJTLnqeau4DjzXX/Yk2bcSuzedDre2V13E6W6WYz+24w/0zlh3qPTYuCD64Tsralpy6et9CHnjLzETPhK+YFq/gyKz7fhX01TSPZH3lav/3cAzK9X7zZYxHaa/c/H+LGQzZAmxnEn2dbJP7HCLzMz9ybafhyPz/K8zPkyuNDOqrhr+/ym7fos28Woqhsnqqgi5CiE7FJEz2hh7i6K/Hfpgrfk6+wz/eQY3yLUezRZ768BmqA+Ld8Krtw18V/AQQABwAIFjR4EGHCggMRMlToUGHDiBMXGmyxowVEgxoTciTo0QGIjBMdavR4EOLJihNF7gBB8SNMmRJJwjRJc+LFlzMfdtx4sEXQFjt5Fk14sYVRpSiXNl3qAKlTng52hKEEyP8NEqJSudoMusOByq5jyUaE6rLsTKhCt5YFqdOtU7FN5yoEgbGu3B2AsCJBEoZvmLZG865UitEliMJ007qlOvSnz7JCIccUaLgkU8sPL4LELBnnZdCRRZf2PHruWaKnS5NGiIRSGCQ7/NKm4gZQWIopQ2/unbnhRYxDdfc0bPq46+THWbdmTvBuUOe7jXtFOpgsx8e81Y5u3Nu3ct8M4YI3X5ISFdp+2c8GREXz9Kfed6/dMbx4eLn09cev2TG6kf4zi8DwKMPuu4G2+86mARmUKbrFikICkPYsRIKK3B5MsKXrJNzwwbOSAtGsAwssSyQBSVwxrbU+lMkBQGS7cD3/2Hbo6kW51kJKRfNYJAuvonKMSCiwqNsMOBiDjC9JHxlqUjwkq/MvSoMiPLE/jlqgpL0a2dvBDTeWkzLLKZkcc6OvkHoStJuo/KxKOH/rzMc4oUTJROQYc40qI+Vz8E0s4xyzOdKeFGo8GCNCIqsLLwQEuyED7Y8w+3pscNKTmqtLO+jQCu/O1lLbLE8WF/wRValaknSiHbj0skbawhAzVaU4pbNWEoNCcMWQhuM1QVxzHVam8hJMr7Yu2XtvKkVzTZG7+Yi18tNhi1Qp2miTe3LJM8ukVNvkQPBrKzar7DSiVY90Dl2BMnS0PUp20tTbPw2999uO7qOXUiwLbVPQ/xSFdNZeS+d9rjuKcP2QU0ytpIKSiGNTrM52cTKWzPOO4hJeMGnlL+F+syNIqHBxenHTEzUNKkmTw0pRMbG0ZAvVtYB9FhBK3AhjVkBcuZHEs1iVCbBkZ/ML4punnRSlbqUaOjvpjALBDVeyKQfrbIyhBGgYS2VRWFMpgpjnsnuGejeWg3ZDZ/X8AqxCk5e2Ney59yP5UoqQMOafvv32uxxIZ/raa/Wwjczmk9GU282GAjObZ1cQDFXxgqILOVAt2cbqKq0cbHnxApvkl12nERbU3EQBtVNgGCn5G/a/jUFC9LswGixaEDLUOWcqyqXortUGXre6gUBwBfKyZRxUzv90MRJVvH8T0t13tAW1DOUGVUOzXq5CJd1ytbMliIrYze/bmJfuJJw03SOeEcOcw7D4Moy5N7MpV5PfeXkcned1VMTDFP2sh79B9QmAw/OOpOpSt+ll43zn+xhnaAY8vlDBURkSHEyC1yzvkURnybNK1/TDqscozW4p5MmuVBg1tU0kDBE8XzlIeJQKTuRdRzOae+ADE/uFaCaA2R8lCmgXHhWRWNIrofcQ5TCCPW1gKTLdQUAAQRmajxIkUdPBnAMCGXnpQkk7XQdXpyfVXa8FrsCK8lzRQwNSTlTCgUzKine/goFHiQY0I5WiQzF8yQl8dLSTRTwUmh2U44rmM0b/4wDAvoPABl46pJAbiSS1793tfi2oWsRckRW5iexPT+oQI0FmJvpty1bMK2NphMNFKAoQZCdpiR/H5IZEmi8bqVvItSgSpljtEGkaYkm1WgiAcXkuV9sr5jKLAjNmCmmKCgHELWNXjhEpxJGWew8wlUWhGiKkdc9c2g8VKM5U2QeJpgJBh3gyTWr+LRsADBDuCtKCCnXMQm6gpGHCWUrQ2XGPBAtknYwls3Wdsnt1zFgoT5fHRj4PYKdDZWjyGJ37oJAgtnyn33KZk68o6CHbjGS8XElFqUXJhABNqJPOtUsjIdReeLQjHAmzJzwurJzT+WTmKmK7dTZOI0jYqN9c/3GvHVUmIoD5pQ7XMyubRHNa6STMmsxZVY/mraoumpoVN7pPhGSzIK4aKXu4Zh2r1qpDGD1rCrmF1ao6ECav26g1FXYdKsVoRrCqDWBItyDw/TGgDFXlJZ0oovyEzj/aCqBgA/rPuzaPT+CEaL3Q5rJhIhWUjeTqLSfYEbCGlWORLOviJksoJyqHpmb8K2Qr0sR8Mc1hi41LnVRpUj8VZnxnvF7qRKQyhFABkbdM35s++xGI6ZM2NWIbFfKi1bUGDa7Pfa5OpNoYwzoFuIk0xjdtyMJibU42t+nkNa1TXeniTa1jMS9sgcgZP1X1SnJBwmZhFzgUGmylusuZjMirsv8X6pGwHsxsS9clEvUBGDUqbV5u5TM6xELPtBa5HcJIib+dImTCtO0iIK72t3K4gnYJzdNiQsKat/RotfxxMEUB++CVYXaJpVyggmPqPwb5yq0sXmiNv7evAXEKQ2HSCm4FUlwkii9TB9TjOSWbPQE/mcgoXfJyKlySj9b2ldQR2o5bVNfohugu65Wud2183mSW7Hqoiq8Ki/tEH743qlnG8kfCnOYynzWd122vUqBlU7cQzqELptbhpiTb6P0xxYTGW4UbPGXWVu6O4HJ0lbWY4UZn7MJcfmh/Ic3eTuMtw0qUFJkj/DlH13jAmnbuG2eMvZA1LLMpDixL04SfOZf/mscCCbWna2odUoMNxmZ2oZiF/SMcE3NaUbEuV3gp52IFu9hMzHG0z4vfW3dlzdKys5dhzOBCu8bAac40hGetWsA29yMQZZyMFUq51Gr60qZWsWdtjehJJ4ecn6Yxb9NEM4adOtyzhnWq2Z3KLEEVluSmsYsHO2+VBjosrez1Ki2HF6BuW9aRabaaoU1tuiB8th5X539N9WsVHjWB3+mnyOVykYQHjeVSyfeTOQjycd4Q1w+OIy01FuuJisZNKy53fLIdbw2b8uWR3THEz20cTZlO6Kc0ickH+mhB0vk+SJWetx9S2pzruOCnPai+OE1zc/+8xbp1Nrwxp7BPWU+W/93K+Mt3aiI2mQukIEXO3S+Td63mPSZ6B/zggd53wxue8ImvCOEFInjE973Pilf84c2N98C7mu98f7zkN3/5wnOe850HvDGXBPrDO37zzvz86R/f+dWjXvKU2dWBZj8Uttge97aH2e1rzyPd997AwL998Hc/++LnPkXIV77whb974t8+67xXfvKPT33p1/74uHc+87E/fOlb3/i0z/3vwf/78Cff/MtXE/eDH/7rKx8xw9G+99Nf/fnXv/vWRz+P5M9/2fte9vqv/4qEANfPAAfw/3xPAAvQABNQAR0QABlwARuQMhDwAB0QASfw/4ZjAjmwAjFwAyEQBAMwAeXPAiAH0AQ/UAUrUANXkAIj8AOjjwFnEAVDsAAt0P9c8CICAgA7
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
R0lGODlhkAGQAfcAMf////////////////////////////////////f39/f39/f39/f39/f39/f39/f39/f39+/v7+/v7+/v7+/v7+/v7+/v7+/v7+/v7+fn5+fn5+fn5+fn5+fn5+fn5+fn597e3t7e3t7e3t7e3t7e3t7e3t7e3t7e3tbW1tbW1tbW1tbW1tbW1tbW1tbW1tbW1s7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7OzsbGxsbGxsbGxsbGxsbGxsbGxsbGxsbGxr29vb29vb29vb29vb29vb29vb29vb29vbW1tbW1tbW1tbW1tbW1tbW1tbW1tbW1ta2tra2tra2tra2tra2tra2tra2traWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpZycnJycnJycnJycnJycnJycnJycnJycnJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjISEhISEhISEhISEhISEhISEhISEhISEhHt7e3t7e3t7e3t7e3t7e3t7e3t7e3t7e3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc2tra2tra2tra2tra2tra2tra2tra2tra2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY1paWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQjk5OTk5OTk5OTk5OTk5OTk5OTk5OTk5OTExMTExMTExMTExMTExMTExMTExMTExMSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSEhISEhISEhISEhISEhISEhISEhISEhIRgYGBgYGBgYGBgYGBgYGBgYGBgYGBgYGBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEAgICAgICAgICAgICAgICAgICAgICAgICAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAkAGQAQAI/wARCBwIYaBBBAUPJjS4kOBBhA8bCpQ4MaJFhRcZZtSIsSPHjw49gqwokuRIiCVRpqTIcqPJky1XulQJc2bMmjZzylSZcOHNkDhDNvQJtOjLozRRDgX6E2nTnh+J7gxKcqnGH0c+SKV6FCpTo0nDPn25talYl15NbgVrViLFh3Djyp1Lt67du3jz6t3Lt69dDGb8eMHgt7Dhw4gTK+77dnHSxo7RRrbrdnLdyi5f2PHj5wNizJblgg4NdzTplHjbzrz7VjVqyqV1nmQdeypYvhCe+LHky81ap4xrcw1LWzbb4MaBX16tuPXp1ZAtO38+2zQGN35M2bJlxfB06kiJk//+Dj660KJplZ4vmbag1aocpY7lSdOq/fUj29ePzx8+e7IGfbCZLY5Y4sZ+CM5H1Hvq4ZdeV2oh6N+EDz4WIYPp6XeWUhratiF6X4km2X8hiqfccSCVNdd8+UWVn2Z++GKIJYZUaNp7v3nIIn3hoegjgBGKSGKLy/m41o5nHVnihxBipGSQJzap0ZM8RmmhkwMd4YcjtvhhiCeElcjglVOCCCWTZDpEJZVGmQbRmmYSaaJw4NVp553PWeGHJ67YYYgrYeIp6KCE0mXeitAx95qHVsZ1KJqN0ilkdYpiUKArnmzmygl5kdfjosNBKqmjiYJ6W3JS6vVoYY+u6lerp8H/Ot5AHzjji4ycuXKEqK/CNmuRocn662zIETvsqcd+GqyiCHjhizEyatodq8xKV+1kZj3X2Jjigfaga0ux+K1O4Y7Y4I8TvmnuuK+5N+Ozm9lhyoFWuhlTuUOyixO+cuqLIr9t4nfukjie6SKFBnfELZQa5thfjyry6LDA24Yon0kfmJKdL5zt6ch9cZ7bYW0LV9kwsgNXHOTFymZIKsPhLXyvqS3Xm+qkJI/o5qgPByyhsRplPKM1nNlhiSfuGQdZdDYqTPOcTfc8J8pRC0ycq9YCm7WhsfpqJ2QnuJKdN45s9ien1HKd7MvLaj2op6l5vTWia/PcNbA3mGKHK85Y/2K2LTcshjVucmNbeGRwpw304o1mazejjl8LqWtuD/SExq4YY4kfm/my66iRQy751I2PLiy6pLONctuFpq4tnq56gbkvenNmixmDVy5o7obXuTSJv7XE8sE/uYxluitvZHyZyEusPJBWO1+mGXrb4orYmtoh/cBMVp2yRcNb/PzPFYWfvEjLqymZtwRLnVH6GOZM9/chT2de+PG373PBJJnhSYym6BNnTFEj2eAvRQi8yP0olsCYKWt7P5MZxChlN3vBzGbCUVnE0KSybl2Qg8UxVwIhsBs/2MISXdqMJyzhM9VBb2dVctoHW+gRDYpJhAdToJxW17oe+hBnwbKEI/+4xKWiHS1QP0yiEqnDOyAy53TzcyEPXbfAx0VxhwbBAAGJyDGzucIzqAod46ioNsmtqopmDGGkwqjGTh1Oim2EoxVVFRktGoJLhuAY5/L4gruV8YpOjOMcpzhI1+1OkM1BZGLO+MY3VuYDrpiR2KJlux8ojlCMZN0fEScp/RQPehPknroYOCQZCq9nSFrPKW8zMn8Z5AZd8oTGbGEIzpnwczW0GWYWhEocqhJ8vSxlf1aZrk96EFkViuAv5QinCyYzlBLaoFd+RyduSbNEP+CYKf5HoHi54gkTC141J8U/kzXvVM00pyjRGacclRNIHUxcPN0HugqaCYpXY9sGQWn/QVYi4Am2kFemCNQxvelwh/56JqOOmaDDJS6GCg1Zmn7YREPqTpF7qSh1rBBQV2zOo2YzhiEomshiHaai+BScSQOp0ouWdJNuXGhr3NAnkJpCY3tzhyUORTnfNfKlgOSk7vCp0TQ+LW6VK+pCBWeIWZZNlp3zhikK2UiithSmSh1jE7NKx6UetZ5PQymqHJM4R2gsWrLcjS9s4QskxnSMVAWrVnvlVbgqipdUOdn4gplLCEqUfn01HygRxsZxCgUCRzNEl3bTpyGawht9FGUHxUdBkTnwX5XVK/oOelnueQoC7ryhkZyZWbl2KH1LGq06HSZOwlrWKJB0hGI5U0Q7/9jBE854wTwJe5N3qjZiEuwsZSH4HfLsk5qVpdmN+qq/Ky5XSiXDojVpiDoLvcAVsk1hHovGJbSVb6nBzSHpnptaNrmQvOyjLgy5usT2ekdQLyBQETmjR9tF1r34ze8l4Qg3MTqxv6Mba0/fitWH3EBGlhBgjGppuyfQ1Z+EQ82AkZrcNbpUmJn8WoCB+sDyYJQuT+AYn2xrwlra9nYS5rBFF7lhFoc1vxMm61ivWl0aO8VZ2ckU57q5GY2t9GZCDZWNeaVieBIJr99Fnf02C7AYJ3Q/022XDJsUWo64oUvbtCVBNyNEpd1syQhssoBTlTT1KVl+6k1YwvJn2vMBlv98H9Is/IYzPDk3N8ru9IPYMLUZPWfKbDt9oWiNXD8DunnOZ+YtKQkdQ/+Yl3zeCyqxYjzHyUYqpWhUTgc/8Cc7nNC2e/tfnzeV4lI+lNLVsjSRTaXqqbH3vRf+zE812VUX08oSTgX1TYum5/v2bm4sLXKLYTpru8ba2LU+9oeFS+AOC+QEacWVCvtEYldYEpD+JWSEi71fScN1q3F86Lary15Uf1XZozrBNhVriHjxyZby8sK5iS1XCMtapsIet7NlPO97I1vfhRRrXa67OT1uhkskNpofAP7qB2tbxeU2apTvSU+QuZnR67S4X3f5PuGWmXg7cdgRaFlb25bcSx//Y/aPPn7xhkbP5S3XeDJlHj0Ac+iDbBLXDFnLlTq3U3VjQnQ4M7jo9XD0jovFznbjtScwutbOm91rC08r3r+m97jITG3q5Cl18jJ7NFjHIoTWqyOiP9C4cvGCSN/d5xLz2hRa4a9DRRh26n45h0EvtZn7pXX9+h3GDheIHbyxJwX7qZuck9d9Bf7vvzs+qOA+qlXRzVVVZ1uQ9zME0dLKdFoWbW++5lnkhSz5uVPej/ueMbdXTMjJN77ZrM+LFp0hUFDbrmyjvna3X51hb9PbqHTuNr99b+tgF9/Cym4KJH0R6sQPyG/udvAUGx74uFZ/2Mlu4JEfpiAI5z2VfgXy/8gmd1419xMlH1irp/32eT732RPyBo4ELc5yCyFp/MU8ntjDP1F9Va2crVV1eNZAYLZzwwVn+uNz6pRPZ5I+J2AMXbJliZdl7uYFJSNYjcZ9nKVMUxZNaLaAq6V94ZUm4sZmSaZ9KgdCg6WCzCNoQ6VPwvQVN2ANYkNLJDZAtcM5nkAvMCcibEZp5ycqNtdc6EJ2E/V4TORD1FdsTyBVC3aDt6Uxiec3GYWEh9ReQ/hwFZZ6x7aEc6V6iOEF3uAJswVvt0VtnEMjwLZ7pdJvxseFwOdTbvhfpvOCdfV69WYlZkA2S/d5bGdyBXRpcYh8a3h5PBVwpqdheLhscAhw2P8nOG7gDUjXZ6CGQgk3I16IekA2fL8nhxN3gq6UZgooWP2Ud3w1QuMEdis4SkdhKZKYYDeodF20R2ASJa5UfzR3hBi0d1CXSqhVXPLHEFSnaDC4TJtYOgTYgFF3WSaIfxBldgmEAZ5gDnuCU5S4Xbb0JW7VaMAlddA1XL9Ih6bmICLYdxmod0HRavuEPAPmdaHCc+Uleh2ndRKRMURzUzfIGezWMdkBRr2FgqzIT4GEXBsShHc3acmBi2pmhQxphQ2BAbbgDDmWeInHbm1nCt7VkIuokVX4iNmSbU4GhtlHRsenLCdwK35GiSRGSZqSkY70Yx+5eiF5hyc1h5d3fbD/I5KdiIwdORA34AwRiHuft4+6FjirVmB184icyJOOaGM3CZNKSWFvWJNzcQTWEFC+UDbYYUsmJJTyontSGXuwtpNUSXoluYocl39RF5Mgx45jtj2oxYDMSI4ceBNNWIPtxnQ7xn625QnT8mY9SGV7Z4snMnOBZTUzmYsUx1wLaEwZSH+rGGd0eUC20Y2klWjKSCFW4ITSRpF+Bm+mMC2O6YEgOGXDKFlFl46TmZqj6Vsj+EQbeIQzs3+pNmNZmIcMtRN7SIY2yGu2tU1M5wlmQIRyyU6CuIyPGZswxGrI6TiZ6JCr9zqY5AfeIEQpZIY5RomZwpFKGJ11w5YjyXjT/xdug2SIbSiOAmEpYlNylFiN8XJb2iNFtymW4NmINVZ6cyiWbNiUOElrb6MX0riDI/Z5RcN5aegHz4mUaziWvzae+Vl9KQWhmniUZQkUWpQpCeab7kZttnVH+3aImihuG0mTwreBs0lcKkeK/4GBuaiA69Q9jDaMlicQGeM3+NienFNbe2QJgXKBg0mYG1d+83h//KeYBxhpoIVza0Z3LSeZ53RowXdXTUp+Uro9sFRLFMiPJtdFJGYKhGGK8AiC/3hxaamaTwqX+1KEyLmFHFiaH3iOTnqQPAkwL/NoY3qCOJNNe5lwvFaGtgR3cteCxQk0AEY5MzpYqthJ0vWgQ/8GePk5eloINAB1e5+nl72pKU7HnQyZoPKIbowIqcTXoPYJa1bAfJ5WNpzhBte4WB3zRR/KbfM5XoxIVa5nb6OKafipoGQZlhTKoIToBYsVLW3XdrhiS6QmRy+WlMn6bY5aKJwKoiRKnjoZQhCwNwPSblxJkZ2ZHWCZfBOKrGeJjr76VwWpplDmfWlqdwjonDJRZeAlNd9iVn5icJ45IKjKOa7QHSznjAj4Wp7Vr9NkogKbXIVamYWJd8VYmgVImoaVmf/algC7P/kCpFiCWJmioxQJap/mTX+5pBn3KcB4mCaSqCObjAd4TCpKQ2OxM8j1iceBXozDsjnhjgLJmNH/gwFHsyUBpZLtp2O/OZyyanZlanX2tInE9I08tI7QNKr51jpPqakKZAp+k6Hvma3AqWtAa3382ZPOGpXYx3sv6bUjGqkDmYi+F1tnCIW+CZyJt4PN9rRcy1IR55/gCnliG7e9SqW6yrSgKiLxZQhucKPZOoFSyGUjpZ+ferfYVoeiU5IJCn6NSlJj+3s/kEJ8Bm8E+m62VCCxCpISyqi7upRbt4IWVIotYj5GuJjp2n9f57Go2HEJMXL4ujlV+54J5gnGcLGmcKiYBU1x+bBhhphS9rpRqiOnmXMH+4zG8oNKml6DVrNPR05EqFAhdnt8+p524Ai3Ygq+4AmOACbj/8c/YEpul+mvXUeX9OG8Skqx4sqURnslNIt2zCWz7Ts+QPg8BcFR1jusvOYItmI0tOSlzYlhtnqOIgqv+KZauninywm1msqpeUFT9nq9CecI1oCqvoBr2+jAiMvBbPq5eIt5gwh7Wlu2pbEnnWNiekliFmysKBR6rTfCuEmfP9ar4knD0TrD0yq6Qctw3vG98+qbvKaDhPeb2tGtobu1Izm6oIu3GvWccOtvxynFJnx87nE02Xud+ehN1pCXXGILuOTDinuMIXqe44qWpgmlw3u66yJ+nbqaDhSmcByQ8Cu12Ys9XGl7ntbFHbNW0vdc7kq8arl/4ahzsvnGbtk86f8UyJpmjAsMvaq7PCbYyEOKmb6kRY6wGzubx0z3LJk8IMbgYMibxiR4Z6LVjAMLpJTZpsVJsoRqxgXcjsDEnA1bwHTcssCjfxURNu3GebXbMdvBftnhDFm7pi+KkMQGfrKsy2cHdHXaxB7sqdH8SimEjwRawb4AUr9JNCT8qNPcwVTsvoN6wEHWhbCcuIVRufiqY55pS3wCUmnYxbF3w7waxWdct84GwWszYfrsxOhMLJO6N7Sbx0WzTTeavdbAQjq8w2M8n/ZcojnsiA3snxEqzYoIUIqVwSvMlScEVbZkDUjTnyGMm/18n5P7zL37WuMbyWQKVjArmGrJLolKs7f/jADUwzddrLYVKSMDuhnOACium0srW8mF9WahWK58h7RHm6SNGdSQLL/vqMaAtVsAWY5PXXU0oWcn1Dc42mezlaG2BIEZeXULmbrEq1nEGaPlC6dwOjG2DGlANLQ9Z8tcN9exgWQOC5CqAQF5JDZOWLVG1CUYCy0wbNY13YEH3GoE/Ja5HLwaqKzfDLWtYQmaYwj/y4+8BlUIVzQRCcP61beRHaih61/krLdfaJZk2XAQgLs0cismhrm1d3KuYA2ejcg8LKRiHNUWTZu7vcTeWcPXB63h6SimIJFfzJeYe0JeMovy4g1hzLdFLYeKuLe+ndtkW6H4nITAbRfLJ0lp/zXEKRzE7uYN8Vc4JT3F143Pj7vdJy2f0dm3nsvexPYCz1KN2gvby93HqOoGjmAOuONe5523oK049QfTZHZ3cUm/Ka2QcDbUwzTLixqyPwCBAhUj99pn953C2WgN8TmY+wogZXqi9keO4GLXGji0IY7YUK280IuBu9hMSmune+WjcXrIMXQEzqA3fCaBBapgBLVH3MyCyYvUcF236uuYpzm9xsm0OdlDAQ7O6f0E1qDjH8XOfWbNeibMftDFTy7fKQjZI53MXk6SxRuq6HndpW3bAiHlA5XJHk2Jn7anfeYMnpCpvJKJFW3dU7nnJUzdfV7OZg7CYZ5RZnDBXZm2nv/peZryZ7ZlDIB6lg+d59jN51/70ILuYb19z94KFxZcS3pEtVxJSdmZeNbjkrgdzt2M2tX9emn+52DbuINe5mg+5oglkRY5XxjOqvJijXtjC6bOO6otw9Ia6+ntzAbsS4eNp6YdjB5+6ugdkAxedmZnCsZwePpYX2kYUD2uncbgkguLfym75OQq5MyOp5bWuTPEmNdEyYoK6yCLvi47yu2enCeLEK7AfNj4hB0Di/suNrZE2dc2yfJ7py7oov5HtMsL76asyCId6AHe5ZleURiQzTq7R4rOOViexVxpCc7w3Lza8JN+20q86nQb3UxutpTO0C5xAjmO6IdurD5b8fH/Qtkda+brncQqfycTnc/nDM2p7ZFt9Op1MYN+8+aXS6nxor2XaAzlffKbHvEQbckpL+wjr93TjE8/cMEVjvE4Zb0dM1u2ZwzFfOZfvqx+3rTEDuWa7u7ivJ9u49CLIeUY77NYHiMd02csaQfG4Buh7c8+36BHu+wYJ84lPuKCuoux7N52LRFiuM59BurYSKwq7AciBZniq6gG6TKvOahIXRmeH4MKORSWObFiCrGED5ucT7GLjL5u/Fd2QHtd2TG4jkKDi3icYwyO8KX0qMApqtfg+HNCZpjnm/ohD504X/VuPxfYyJKRD9ad98n0VeeZzsTt/ec9fPxJa/2ubvLZ/y34IM/kEuEJ2n7xeYStA8rRqGpb12PnKD/1tByuuUryhdj+Ik+3O+/0onG59WWv60zQGwsQfuyYsvUBwcGDEBAuZNjQ4UOIESUqlJiwIgKKEy9u5PgwI8SPIDuOJFnSY8OQJlUiTLkx5cuGGGxZsmPIlkA/OW05suNnZk+cdlx5slPUjSdjLzSiZMqwZdOFMC8+dboSKsupV62K3GpR68mqYaN2xSq27FKyVEd+8MXTka+cOIf23IkTpylTRYtacvaDLEe1HQN3HSzYpNSxIRU7XLy4rOPEY816lYwRK2TLmCmfrbzZ4keKmlsifnzwBVw7jm4CFeoppy9DrHN6yv8r0I4la1YmZzarkLTlr1IzNq76G/Jw4Jx9707Oubln0sc7e41emerv57tBXx0tdntpz82/K3eOnOEPY7NdAZ2d921O2Z7W23aUG7j5sNfPjk8u3TpjAMWbbkD+oCOvM+MC/GtBBoP7qzDADrvoiPTsoA0+geRL7SYMBbLEFQzrM6OiwiDMSsKSTHQwxQZXHBAs58LDbsYFVRzJRBs7s8KXnkwhKsSbPrQLKCHhM8QbN1AkKccYS1QyxgiZc2kyJlu0MiIInTzxxSc7csMUgYayyw9D4NJwyNR4BOpIQ9TSUko4r5Qzu5WqbBA7BedEizCV8NzSOUd+nAtDmwzxMaj/uFRD1BpPMOAyTj61+wpGKPOks88/uSJw0ilJdBFKPz2tkUWyLKHJJ0c69AM2V05lrSbUerLDGVMcxTJTSvUMr1NSNx1VUmAP7I66T2W0VEDHCtSMNwSN1Sq08jbz5FTYEEW1LlVXjQ0nX1wxaFcB83sx2WjDjYzKSZf1M0FxP4vKPHW5axa86WiUtz/KEFN23uoOzPe/PD/6wBRDyLSlYPZaq1a2mg7Wa1VfDBKuKfzMxe+pAom1FLOK4aUXWgPr3U9XkksGF9dcTX7oBLheU3UgV1YbUyeecLLFmRMe7ZXkLFWOck/DIN21SntNtjPdYlNu6AQQYd1WVj8I4rBD/7pqpssav4DmtMvsehZV62OV/nXnoHVeMmkGQ03rzxfA9EPRuGRFqum4bT41TGeeOJvro7feG+ywUfa7xb5VVrvSTAsf6Qcwb6ObtfrmgxqoVjH0xD5NtVa8Sa5/vpXszD/3FfCkiyb975IPHxqhJ2r7EGqcDGG07rjnktuaERHXfW3QLxX6zrRHHznkdvHt+lOQRd6OXe+MFc1cUJn7yIsfL6RadkvQvKu2nHCzI3ronb0M3eKXA598dJeX7HmokndX4/DdLPf40Omf97lhAbZYwWEr3sy//x3IDdkbSF5kkxNjuGpMFjLgXpzhh+b1JoDj+tf82ke88XSMf/fC4P8Gf+czs20lf7sT4ddQx5Hb9Mg1tjGSMVJ1wJ7QRla3cYYlNvdBTF1phGWLFNhMJz4SAvFkOhyc6IxolY8YIlWoCsqaasgw+JypJ44wRqM4Jz3B4RBXNyziFU8IQrE9yIRBPJbXTrc7CFhiWztJmEBkt0LY9URIRSGTMbwFRh7WT09cRFsYeZe6LBptbEvBgCe2tTBE4WaF1toQfGpijIKckU5vutEghVg/PoLuhynbof16eETfaTGEJjnBCgs1Mws5Q3K2WRNq4uILX+QslKMMXLC+yEcmqW51ldrksuznP08eL2Pu66QvkXUukdkyeSdwm7ZmeBdbcAiGZWIhxJT/QryPhc2XE8PfJJ9VuvUhDX0SrCAw4zUyDeqOeRUM5wTZ6U6PnYxj2XznR24AIjK1rJpCIQjV4rKqMdnCF3rL4DvpZTx4RjBY/UJoOe+3P3IaL5N4rKQYiYjHI9RGUVCcydQYVqiHCdQLFM3hRUnaOV6RsZddHOIsQRm83mXECq5x3Mu0dbAh2cVhtnGFL5Lk0mC29JJm9GIJwfm7o+myliS1EyWFiiOWIsQMp5pj3QpVFzrKBqtFEehP/fjFOllUksCbiFLlxEWlmhWlJkXAADMkOdZQcyZ+cAOGgMJGaEIwj0BFoiATt8c54cmYR62oWD8p1DBCwA8E9ARNWegG/9UIhYBx9IPtBEIQS9gKpprbYhl9tknPme8+BhWsZ4W3y3Z2c4fxIk47acS+/DS2KKYg4JA0JEM6NnFQs7FFrQz0Hdgmk0vDNO1C3xct4kqKm+q84PwultqMeTKd8NNf/JTmvtPS850YOJQd8BqfvGiIPSzE7V56K7HhPbSgFpRoeqnbzYR+zpzZxdgl+WrJkwaxqWOUEwbaQheaJKw1t7GFgOkoQ9tYwhaukGVJX5pfon41v/wNK3+ditiUYvjCGz7IB1xYVzbmlqtukSYLi3IhvajGFNcMZO+WWlTCddaW7C0mygYrSjJmWFcTdcgLrLFGhD3MJwWziT/fyh7VuP/iCN50MYUl/GL7QnnCOwZsdp9c3MNK5AcPdNn1dhqrai62wLIqkylGmscIe06POmZzYFu8ZixqEsJRlTHgFPIEY8SmyM+E1SsRVrdGrmnBubtyk8d63zdzso9YFi2zhEvB8aU2mMmDCXG3+c19PXec8/NCet5GN0e+LietymrcqPmwbn0Pvu9t9Ko3jd14vpopI2x0q4O6zoTEel0KJZf4ksvOWAeIobTmIBr9pZlZFWWj1USwZO0aO4/6wRgP5E+1A6Zd6E3XndvGLvz0Q18Pjpaig+Hxg8/K0htSxBDGOPF8TIzgqDlWL0UpU2zoaAxr2LDCOMawg/s6Zc7OmKz/o7zwrfGrY7V4Qk3Wy2proujuhp/yldawQycRbaXSGvqWXUzzZnPsZraau7+maJpsn4kqWVU1t695mk+s4Ya+cdjJhpv5uQEOYzUjttz9FninINDbolTugAerq8HCfNdtXdYZbcpVxxMdVCwXNsboJuz5jEpLqve8zht3CFsE9UJEwUbQJsbQT2RlCmc4Iqk3xzq/h0rnYr89zpE+LnuZTPdLnZNfxTkoarG5uhMwiqt30ws1MST28QrkJ7ZRuCm+lSBgOtS4jg5Z5JmHnF6vFNPYDq5zIa2/XzdU8tZWJuKAe9B9kfMG3jjVd2W1UVlhlezdPXE0WSxuX8sT2+OM/662fZdxV3eQuXN2e85BuPORHMEaNUN8UMRrs5qxUoVQ80Q0b9BmuKvUsFLnmY0Tjdbsixznxt86uKzwY538k/HcG3WA0YQX1ijYFkuWMPJdWmMLI5zjT99/TNeK1O3DJIsyA2twIx6xqwKaHNxCwOdzHFfQG+wLOLD6rIPbN4wLPwuEM43juQXxLoFYtqzaKjlaD8qKrNyCi6zJurazMilrwZr7I+4rtO/DwAzkq3TrIwhQor0gwTFxBavxEHezK9hrGEN4AvurQK2bO/3qvz+pL0mbp+DDvbsrF8xDJspDKFwbHvX5vPFLI56wEB6EGrHDEAWDHWhzJICyAko7Jv+r+y1yyh9bmzRtijsYWy2Iwj1NEz5gq6fqukPRgUMj0jTTWS+cowjusg0fiSPDY6E9Q8BFpAtDGKk3yUPJUy9J8xdM9B9Y00Iac68oZDsZHKsj/D+SOMTLcj/6kJkTtDdWMpg/0xYvsLgIBEVa3EABtMVQ5DqCy0VFcwhmkosXyi1RC6inKbUx1IlIJBp/m0Kok7ldLD9m3Ktl3C8Ku7Esm8WPY4gbaBw7+C8FNCATwxZrcb2dMAPN2rRa1EBp5MWcKzj8GsUVPCGnU4mMcoOeGMOs2q3cIrUD8gn3kyw3aDBdzEYJvMAX/Deb48KBEz9QUiuGbEiHsAIDKjIEXLz/yYG/yQk6VwFIgSTIGHTIZ8TFRTOhTURHO9xCWbuX1rI74KMuYtoYgVMIiewJm8hIVCk61kCx2fuR2fIEN7g957nELLSX09tDhcTD4vk7YWouPkyv1Ms2TSG9pjQopGTJTBQebeu8gzgKZXscoMBHyMEnERMKSKqZRLymopQu0DutNdQ+PdTE6npKXqLKQ0PCkHzIGvQ4w3ibdiu1PvOnZRsTX3AGhaMJDbm+dBTJhExMnZswdwy5iyM4R7A3jHQkE0SUPhOxt7GGAqMiJVoPCJxAZ4zBXjxKZew5vXvICJPF4htNDSNFPYIAQwqT7DGxyGoietsp1jAFX1iNoSgU/7UbSbyMuimDxwk8Kddkxys7zVJ0LNp6FTC0FvhoPjrqqA+EjZvwLdiksuITTo+sv2VsOhdkzKsjza7jxhCzi0Tcp6p5JgVrxJ04GFPoSCdUTSYcSA7Ez/vqtWZEzaRsy0fDu1pbtbYEUAF1kEt7kbbhlpajK1LzJ+8iPJ9wjZaBGbgwhRS0oG77xOrgpl0rPesy0ELUjuiayjwkxNArtsijSsv7Gv9Iy2MDmIzIKJp0pRmaq7HMiUQEivfQluuUz9B0NX2JqMFa0QK1StMity7kRPtUzPw7yMhcwpM6AhIsk9r6yoKhK0eKIXBMQJR7DReyBEKLR3U0T6YiT+5E0/+dwz9aap2g84Y8IxRVxExRu8cvlD1TyLdUgUbmlFI5S8KYfDrWtDJr/E475D8ljNK9MgOiwA1XILmsoshn85AC6x6ZWc/UYBRHcAQaxMbl7FREvcZQPU4W3M7xhNI+eRuf8AWC+a8PlBl77JBGHJTWqKuicIabsCIzbc1R/cjFdEuDPNMA9NTSDKJNVbC5gNQMqY2xRLq/5NJ566mB+JZSJVNFrcE+HVFSadH0MUk2lMLci8IBDba7K0m+C9D+jAo18pHnLBOz/BFAiwuHwQtWkg8yTA9TQMxuO9Rv8pUqpLt9DVR86T20WckhNUr6EUTT88T5qsRJ7EOj7B9M1MP//jCknfDBoGscMWnFlasLVzUvyHkgU6C/CKJEXQtQXTrZOoxKpQSgUDLOXf1O8vtVvUSADzAk2KhQisRYzIybmbCEWJmiMXOjpbOEM8vPmE3ahey+auxVNC3I8izTHmuVg9kpZ8LHZ+vJ3XpV6SNMmoDG8DxViAzAx7RWahSa5JRDDORXUbyIe7qQCvVHgGoizKQNnMoquJEVVVIitwNJs2FTUjXUmg1bVIXZ47OkH3AFH2zEL/EEEJQ+xoMlR9QnuoCNzILadURVkPOrwEXaaz24tCVWDHyCmDGE10k5H6xU6YSPyOFYlKOcB/IEaj3cD8pWqNM/zf1XdBRX+ArY/3OCS3YhWFkjNgDSSgQwg57yA51sGCmKC5z8QMEzQ9czBW8wFBYTrZf83TYUt/q8QsDVmJVkS5gEDWK7n6csUXClWOEiRD+EKIlFrW+bIIrwifVottewBTg6OTqSnR+EvhnyBG9whJEdnYPl1tvlXquDS4j9pX4VvUKdQact286dWWt1qXWjCVrFG55kGDJbOigSOjmyBh/RDaVFyKjNS+QUWxOWWXGSWeTzWwTgC57gWTqyhACOo1dZrOrF4a11BFVyBK964fscTkAFN/+kWeJEYSQe4sBCCpYTMTahGs2k3n/cnkh1hrYwhAcDLQh20gom2y6e4IIL3e203ZBgi/+boMiQDbJS0ylf8Ml9ajZYaYvL9dwqm2CpXWLRjWA99mJfHYkXUKV7bLmayDcczgl7LBPLgpo5oiNYMpXZhUm+mcYybuHxCy265N338t65C1hk8uSUJB+UbFksC2SiuM2gOJJFyqkRPJMhuc27euP5dC0s0spKe0JOMd7wicbXaq4Vba9tY0roWmAF5rVKhEpuw8rJC5nVi43TtQtLgCQ+MzG8kFTLnNOYwQu/AMRNrkpSjij3vUpvo0KBpRgWvkXN9T8YzGMVzpUn2OFnjqJosrccBjA1totTkxXFbRUS/lw1fVoKXucnAz9hfVKzsYMCZCDMHApsWTmka8QZOjX/RFRcTxhTKZPgld3csTXi3fXOpR1o3D00Jb2SVZm+cBRgooChNHGZaV6Y2SIIMHlNgcZW/jPcPeboS65knS5oBDDBEIOanZCik0Mx14O+UFswxz3HLzZju/TTYAVoIu5OmtU8kMCt9HzoA8xR28FRNDS7nHCER20VWxlpABzWPsbpfrO08lFJ5UpUESWPUfZmq0xNtP4ImWi9LCWzlkGkZxrDytkni2yYD5nlYPY7ZlxDctXkhu27xDY4k1RYhRLmhtpQFB2+X6ZEFQ1Xlc1olviAL8NNuHnQ8crbyoQa28lNFdtm83XKuPREGWXSl11tDS1Y2B7czrHddj5gqf6b/xeoENhjvPmgvZ6wR/FiIP2FP7vIWU8I0t3GY0qG6u1taui2beG8AXbbkPFSaDCkrN0ywVfRSZpR3DO7webGo5aMsvJ2apnGXCjr3r1Kq63YkR30y/WEaG4BYqFlZXtlpZ0giIoLHYJmbxi2aVOlQYz+1D+d6SfxrhiiqWgloHw2En3KJ8ysqRt1hPdcO7MW6DQjb17lXJ6euixTC0MgQeT+J7xiIkYGEVsFqJO7TB113JkY60Qt1hImvmq9FeOFPCsc0KiztfBFYMIC5bozV/sKDdqwR9m7q9rZyHirpu+KC4le1lVxPA6V5E3x0HPFO8ceLfZZ7DbE3syOLwaGEf8AfeuXTEr3Otg+DD25dCe2OBUaNkAM6S7/RfHo0+stfZ0FQ8xwcdkU7TvZHuYFJnRejmz5YWIlfuo/dm5QRYATSDtkNLE6FTOokWh9vtI7n++YIdm63HBcJPD0DmgRl8cUDumG+IEfG2TZKO28HaA5HYgNtpmWiyyF042z3Wiz1Wh0btK2xUYudlpUz+keOj83mtPKUiBn6pEuPTIB8+o+i2ZV8+gAP+ccF1xQ/+JRv2jiFGKpnpVXnaH2ZA/Z82qcUDmegldIrDdRH/UBp0AQt+ObHjdeDJU0eiALjx3KpU0GfV7sfjaGg8RurGMfAlvvy/ZeZ2dyZS0X2cTnGcr/bwXyFTHgYwYXdsEAaTVuqPltKm8kzIRovShDoE6VaEIvLudXMFctS3bseYprte1WlmCoPxdPMofsBkZYqDVg9h1nBzYLDzMg0T4x7km5MaNXh3amV3Yl2nSDngLKZCZzSjnftSQtL4rfTqT6eGz3E05iGD7cG4heH9QtBzcSDjH3VcwWvvaRATIGT2d05Zx3eQfFYE/wm2NbO6aKJzBkpJfXH8RSpD8516tOqzHu+sB1KPVwbRfVqiMhm+56YsXtd+QIN1j1PUO1YoS+vAU0fkSUwD4TimtByJ9kg3Z0MTbwAq9dgxf9BzEEfEdlmiyxoGgVe51mWTfDeHsYE8yz/zUd9lxv9FL/9Gv3XMd390f3ITNAjao6MkaijQel2+1mQHyyGcVzBbtn5+n2/Yqi7Ju3eFZ7+TCfee4vWSnpUEE/pycYswyWde15G1giZBZC9xGsJrEzBWOgVu3vaJeP63Gdsf0/0IUHCAQCB0IYSBBBQYMIDypcKDChw4gPDUKkyFAhxIwXJ268WFEjxoYJK3KUWBKkQ5AkG55s2bGgF1d27NhyNNPPzJp2cPrBudOPMV88ew7148jWzZ07DQlV6qemG0fOXrBEGRGlyo4pWZa0GPLq17ArtWL1avarVa5qta4N21bk27hy146da/fsXbV+PO20ZcjpU0M9k/J0hv90sE+ehmwlHsx08E5TfA05+xG3bl67KzG35dwZbubQdEWDfutZc2m1dU+TNtk6NUFLltw8Hvr4Z2M7vkz5cQMZsR+hv/vaVOrJ1E5nXmC/Zu5aLuuqzUe77UrW9OXs2j+Hjr79+vfnm+di8PT36FA7R5X+dGoMOdGkP3Ui3unKEntLSHXbwc58/HTeiUZSdAIGCN2BCE7HFYHSJbigXB+4gpMlMs2003GJEUaZhe0BR197dkjG3mNu1AThgM4piBdpBublYmtjnQajdc/ZiGJzNNZ1w4Qi8jWUKz+mN5MlxjDGE2E43UcYhj3+1JQnrjRYXYspUrkiWzr+N1dWXqX/tVWWLILp2kgsTsnRR9YBmFZBDaYJ4ERnnpXQEfstmVRNGrZniiuMeRhikCES6SdPtuB3FAYu4eXmlYyCBxucZqJ1kJyPviQSnF96tKiiXTooUaSgppamWWt+WlqZNYqqKAJewAdiT00Bx5Mv+gmWpFKmwIekH7f5tGRwVG2UKljilSommgxZJeeXpKo67KWoKpsjjv5Vi9qD1MYl4k7CKSbchewFZ8h9vIpbYXo4LXYrTsfNZIxl196IbHfyGmuvvayFiq2Y+0JII4MDymbHYhpWiFt6+okIn7hKrddYT8YYWZzCNFlxZXgoAuxvpTFmfCq9L+L7L5Z3dbyxSObZ/6FwYiMi+ZMbuq7sZHw8odewJ97cZ8xkfnrih7XaUvcxvvouqCXGGe8LsIpNh3xtdCeY8leG7RnqFGDlFvwykutibYiRPzPliiNQevI0W06jPW/a9QbN79pswz1yjf4W7ZzRmd2wn8tP1serL3/VZu58fxH1lCdR3mRLn+d5kqjQkXtMZd6ZoTympNXJaBKpJ1MesFttQsq55mqG1LHpCtWZE34X+jqcfkTp9KfsxbXL2M2x1tqtsNCGutrnxU6buaV1s0q8qo7eW9bxZ0a67LFdOe8Sm5uWzqn00RcL/UBmILeuIbeie9PLis9053A9gciUTejxZIozfNlhzA1xSv875/Crkm599tdj32ynAtg/0GXLZHSznNsOqBqWGKJnjgiKJfbCG6wVCj89kVl8sOYyP7hiV4FTiiG8cRhbLMeACDya2hRopbfJjYBtYyHIFlhAF0YLapawCVN84QlL7OZq5orVXwb1Q564yw6eaApxwuULY5yvPzK8W9JEFkXuSI6GXIIiFYeWxXupcGlx+cDUjGiNHgXHGoLREE5y1ys/NaxdvAGKTXhSLp5YwhntMkTctoTCfMVQj3kkGiD9p0CmBfKFkjuBn2xhjMQYwoxcaxfNxhWixKzHFgyLDHLc4wg3WOJxW6xS8FhIyE9qLIEmnGEfV6jFJ66yhXP5AVL/HGEN+aXRG5msjx0CRb488coxhvpgUlimFF8ghVwfQNsoB+lHQ77GO6nanJfCJKk3ja6a+VvI70AGzWQhD5uTqpEZXMEUZ7BrZbYIXC+fEsfBjAgwPlmMLX7kFPcpxRXWUF+8OqdN0FRPf/YTnjS7CabxVEp0pfvINvW3zendqKDa82emBig8ZwFPgI+qKAJ8dE7Dne84MtHQ4C6kq9wMRWIcVQyhZpIz5NjCCs7i3/bSRlHsfeqlqQPoN6OH0ZuqsJVXhKEqD5hMCDgiSp44UuHYx6vxISl3TAKKL9ooSZsFhSZ2SOYegZrVnvq0csWbWzPllVArkhU2GDAFD82n/66mYLCeQvLJzf5EMJ5BrC8RxI0vfFFUS0DOiyeU4l+/2kevJo9kW3VlKkWJRZ8mViAn6GCQJkghP5WNVyDCq+GG5Ahv0FJcwJrJYvjkCFecIKxTfJYpJ8fVUELtsFa83B+1+hpYSqZvPppPHAkmq8bAqmXxm6QbsWaoXx6hrIs1nmsby0zjFhK1pLRbFVW73Nd+xwrE1I/t1OmTkQpRrrqEmC86SL6hMLWjUSKhgJDWxRSCNYYFyulY4xtTgfIUuS81aDef98/hcaw6Zsir1/w2GHq2tTFV+02UYtcw9bBRpbwhpiFE59DTCZJS15vp/pD1zAwXlr4AtemHxfLC+/+KOMQlhlbzYApdYvmPxA8ByoRkxeCi6JU46UrjkYpiKPf9LTiHMycHd3PMaEqUyBPlp4prSjz51hDDOj0tK09ZLegG1rSMVVt54jda9ijOJwsD4oJ7hcTeGEUoBcNVcHIbq14ZxjJY/elqofxmUFbZlagrJZRLZudqgdGMFfKNjduznijVzEN+qU8HY7XOcKlTuBH0hXKizFzAXtnD7KXyFgkbZ0xbudJVdNELlugHyQzlg4AbrScAnS6atO5JtyoXBTn4s/ZEiZPesAPkZNvV5iJWzoZN7aQlPWe/xu3NnBb2QI5gDcbMTswUFJErTI1GTCblqBf6boi6fJPaxO//mHfmtXLpNucWjpu1Uo4znacrLytwNjDG+ShgGrkfDyFJ209pNaHTN7721LhP8aqznuHcyrFSN88/ZXF9i4dfMhV5TNn0pzdxysVL2RS/CH+eHbxhiIed7670/m36bpK7yhLFV1hz6kz4FBXleO7h/TJyxGlKXxDvtL4LjzlCFvpkm5eY5sczsX2p6OSE+3xU2cuyERmW5kkSzBqZRJhTfCUzR+DQL0zSbS+31m3q3e+m3ENuDXGqT65zk8Nmd27A0a1McC9zQV7QWS7vusYeGzEouPxNYIC4l7saqma1o2CNl/jv6B5X7b4mZVDR3mvFGhzYAlc8RTaLH2CaU66y/87T1YmyJIWR60dBovrfYI2kQJnCG37I9cQ7zcxh63q55W7745HdeMYjnr16LggGXGH6M+OE1H96jO/9niuWRvAos44SWl9mxMMIOqp+sIY1LgZw21Mf9uGG/OOJrXpJ4zm26g7PKE8gMT8cTCnN5rJMFBzmpJdNMHyaUK/C9rfXuZom7jAFiNPeeu7/+tyGn31rTR+wwdZbHIHOuEGQvBO4pMfVbA29gRDj8MVouYI4sZkl/Vi3qJl9SKA3WENx1R6llZWx9Z/shY7XgV1hacSUqGDPBQ8LhonLPYv2pd5CmIE34Af6xFXXLJL6OMKQAIfE+OB5kY1RWEN43Qr5JP8ge1Te/HiDI1Sce10Twjkcxqxg2O0X5pzd2TELit3P13GRppRdktGLp8Cci1HhfB3ZphCVxvnYdkmWUxBaZMxaUZCP3Y0a4+SJJziDMRBhBgmTAv6FJZhDhKXYzyHPFDIPGp7YInZhhg1dwv2fp21f4o3MatiCM8yY+cmd1ViQUSAVSQUHchwFBQYJuRiDM5SLI7CLyclO6/iCGQxZukliAP6felka4TleJVafQpzAsiUdBJ7UUshYbZAPe2wWb5hCHsZTlPjCsv2MKfhgBWEIMWEiUsSMHfwAAAGg6w2gAFrfPh2e900iw/HaCLKdXBhgqt2JJmKNWimJ3HHNOZH/DQUyDgUqoy08o35woszwENUZgiWMkW94whP0TnIF2/UVHC2uV5693veZG0IS3FiYgTvYhKklXaHphgbKjDH2RNmUTQfZo0jmoy1YUjxBBnYZQ3F0izOYQszsRWnNYkQmJAkunmA1ii721LEh5EIiwGbNnRy1jm0s4E7wmIbUClDkYZ/UIwUa4VK+EWhBmjQaBzF5giOYglBI5EF6YxXWGdOgjkNF1KpQU+ZoiqmQjiKiYOqQJRaWI0VAQLTNzLaBy558FOAEEWQcVU84Q3gtJVO6AirW49T0Sq84nZfRylH1SZEU1wyeJRiqJQ3GYCJGIf5wzhkyT82ZoGbC1EOZ/6WKpKVEiaW5QYT4uULMyJMcHuWi/cQcOYVeGYXE/KVIBmY9CuFeOB2u8NBizJJ+yKJaMpQaPqLREV1lhqalXGaUZSZmBl2HRUtCKc9auiB4bOPYkc4PWEMENVuN1QeP4YYRwdvt9IQn0CZTlmSfLFseOkKFlI0y9lJfPJgZGQqxeI6GhZKn1NyEGeKJ3Vn+9aR//mdceIEZFQy5OGMEvUyBJYXJMQV+FOgY2aNfluSy1eNx5KEbYo1uCQak7aEbOCSAfihEyuSxaRq5Fd5OYgRlkB/j9BAxXaR2xVqjYciRHJU1lqJfnmdfQih2Io6g9B78HZEzfiAlzqD+gSM3pv8SjBCpTNJkuBGph6pKXAKmn3xQew4j3nmZErKPeiij7lnSjdojH94opIkZGW1IjemWOThC/UDmk85kTgoUAU6ZkaISL4agW6LNCaSiH/DhZPnEBX4ZYJDPwYyaTBjC+2FijpYnYKbiUuZj4PCQjNWHXqqLK7SkF6DeDPVXpq6WfoVj0X0VNH3qxcFFf1qhc4IqZULED5jDDTmhksgT2Kyii/6emaFTYjJObEZoKZLkUjqjoSijMbAL1+jQhewFJrqCGbzAC3zAB2DACXwABJgqzilpqJ4qZGKOkx4i2QUnxFXnfBrnzy1nC1oUuZbdt5odSZgBIZYkrXDUyvQl7QD/Rk0k2mjNZh/KZp/wap84A6PiamfVBw/1BDztK78ahq4Q031s0gvMSP6cKxfuJ5KJoZP1k5I9BMGVaHGqzXNmLKp+5tNkpjU5hCxRRnFYW3rYkwaumjIGjqF+qWHoaj1OqISaJwX2IYaOnmQYQzwymM6GD9Vd5Rh5gW8cgW/uWRZBoQwxLN4cVJ3yX3O1Kae+qWooEvwEpbnkjMfRnVHYkjlFqL5C6FKGaaX2a74uEr3BlTcAExod0UrOxAOl4jw6ghXE5PVBbdNaYt1KLTIpzdKGaDg2hy9WqoW0YqxgJd79SUC6n0iWIl/eqF+GqS2IUKP2iUo+m27Z7N0RyW54/2S+AmbaomJQqKnSeuWcTtctrt04Om3qLqT23YA5RG7ryCGXIUU8MZ0COkME8YlSUmDjTm49QtqiLi7jxA9JMcXP6FBuKOg5nZPKYIhKCixgWsITYKqmtenoflL1oiPt1eJNki6TqsXbOcM92VWS7E5lBWqh1NbyOW5gQqhSOqpT/mW0FVM58clSPO8j9YURJi/buk7k2oIZ0O33UuLdxh5P3ZyolKGNVGcaWo9yGh19Sue2XiEEhJDOrFWhkdy9rRoefqJR+G60kS2X9okpWAO/vm89KlIDHehc4aVu9oRvwNVuMAVUehkPZe0DmZE2Dmdj7s/06ByHjWrFAudmdv/dhrFKGEpcw26raIKmZ3bmtEBAkcxSyikd+VLImPnEC48LudgoBfqqjYKtM5hDX/ouJiLfdlkIO0Xquwrl5o6XehBrsWKl3N7AkCGtcLolEV/TAE0sHycNi+2xTOGkRejX9Q4c7Ekr0F3EY5lUEjUVUe5OfDyQ7STgCDPlhMJspUru4oZteOkE2JxRe/TJDmYX4kDGXL6RUVTIe1RILDZZxxYnWwYU2lXrtYLokhaw4d2A+FpIwBJG7TpF7LzTSb7bXuwq475HGOsu9OFrr07oz4jXJC3GrNHELSXGG4dIQLZoXxqDCVuDObiCF5yA3eokiGrq6u4iH72cXdigM8T/kQ/NpSjTig/aRyQ9BimSMK7eayf7gjfojDMzjhFakj+i71zhxxEpn8Bmc69gJWCqba8IrqP6wQ9gqk22V9/a6RYmsolyNAxlq2tlhCWI0O0EqnjlhoIlNL3lSRj3CfB2MiZ6MwpHaPuG180qxQ1vZ6Dqltg4tOFQICqTnw6BTdrKxMKC1U6eLi4npy5/o1hpr4Tgbga+TPvBqF69MJOUC5e677JdckmKUPwK7xejpzXUcx0aB9f+0FyeUxglodUVKynuRR9S7ThfbOEVKS1jazV9anTycIU1orn2j4sBkAKnTp1YHZ/0Uu1yMJBmLWKgx/t5sVMyDpfyK2DysxlX/yoqSjVwAEZAIlWPppwthaIyCqt9BA4pWgL8kFPR2rJgF/I3MTBgv/ap7DFylqtsgytnguYVRma4SqFC6Mb3UB4WE45jwB3t0IZQ6If8hnXMhhcqgu3untM/W5Iw8orOXqCeDMYRFYk8HSZWBhGtISVWRtB4moIV+OYTI7HT+LERaw8RP+xm4mfF2icsd2Fa9hNmbCNDlEewQtuPLR1J2UcqFqu43Fu9hnFszuYYhTAKC683vCwnnuxwC0kMq9QHgU01p0f/vkyR3McRWV2FmMKlylxD/c8g13eK+2c5+x/eksYN2OxmVaNOUCD6+sRRMcU8G7hkTODkAm+jTvbXKv9qSZpDg1cgLulmUb4mYJSNUDo5hhKJzm7bUaGiNwRFMycOl3pB0S71XTfp7YV0TeatXbiBO6i2CIVPA+3GbjVMkVANGaFR7IywSAK0S2eyo2Y2rkKfef5ML0lyu1ykelQuiUhyoLLnys7ReFoCQMp0tBlD2hrCmkLeiFKmU2MfXmN66fpfpaNStJrCe/Cll62MCElVHNezjhdr1+iVbAr0J+teoortdPMu6C6lBgI1YZR2VAplfky5h7DylddzMG3uXiBl+FQIslr0OI5bp2t0pncfLnLvLbOEL56THNNRUNChh1w7tNkuTbz6jfauo4PpXE9uHooQGP+pR0qbUzT/jvHKR1I8EAuXTTyFz24YuLowznkQk5cZqiccwVdqr4u3BFiOqxfCdmUWtlZa63E2Zzn6nIC2aC8FKw3nBuM0Rqr/2Ma9tK7y4TlN9jPvbqP6ap4zDgufNPoe0XvstA2/ZnkDjpMwWrTFEVZ2lq0IsBBD8MEnfH2+JS1/3X6zKRSzlsOSKnyPoRgGdpPJUl6pGQdJFvLmChvhbC8dVbp37jkZhjWU++8+aAov5dbX7Mvqu97d7F7u6BIe5srEprsWSpyjZNSDpHgT6qUq4n1GrCyXJWeaIQ3NMoqtd4uJoOkiadet+ER8AG1qiAaL2awp+fy5qLGWvBc7o/g+uORj/z16RlvmdxBAplSAmzzybjcR8av80E7jMJrbhk3imDBk1eyy+UGXOzxzmrjEfaGX02KL58UTmAMdtweDcqde/T4HS/NgIPtAm3vkcrLvgrxSXn0v5+FRCYl3djCZwjuO+UXZ+Pkj9b7NrCykW9JxkL5sUN0e+oEA3z5Gr+7Ck2PqJfVHbzpCPJD9EvMEeWeR8Mz0TzI64YbYm3ufAIQ7Y65c2SJo0KAzYwgJFlRYEKI1ZxBtWXPkx44fjBn9GPJlCGNHg4bscLRjyZenjR5NhTSpEaUpRwVtmbIEM2VIU74slSzpyJcvMxgQFDWKAMJRo0mVMj3qdKlSqVOLQqVa9f9q1qlWkWr12vQr169jyXYte9bs0RMpjYHkSDCkxri+vLl1qZGjLU8ZOXqy5cuawYMFrXkbKJihK8ANEVb0NdhWxYGujDlTiRezq5YvC4LEiLKnXJGu7vJF6c2bTLx8gZL+PLKjH6DWTP1Ae/upVLFbw/LG7Tsq2N+9dRMfntvr7qV2/t7Eu1Mu3+cpP8bdiBcoyZCWCD8WTNlaZcQUFQdmXB4iRcCPw7u6HDc7Zrk7HZ30VT9uXlvRNSr2ZIi+/DAypLOQXHHmMc0cMsYM5bASDrnj0IJKLKcsBO5Bs6ziajemLkSOQhAhjCrE4kTEakOwUhSOqSd2UokvT6oriT//lEAyZT/MXvJDr7gIPHCygozx5i/zxqPJSIgUGk+wIQFD6L/o9KKxNBnp40hAPzrLyBJjTNHOjy4vwzIjT4xx7iTxGirPkRs+IGrF4Dg08cQMu5ozrQw9vOrDPEuMUEM5+QzOzj7T+lO5Pv+ks1BC80zrBVu8dAmoi2g0ySPntHTtrpAcyZFGTxSbyBdnrLHGO/PIQwhVyFr9jiFjzJkIoS8/84U/+ewwxRzXqCRTS1ss+cvS6zyyhSTpMgKqpZAc+8sXY6wxB9UjIowz0AcNBRTPOR3M1lE7H72TUaqSWnRcccPFE1xxV0yRXXePwsAShSy5916efHLJDo9gdNaV/x05YskRSzzxy1Rqw0vQoFfTU/IwghaDbDBXvLHmYc+mLA0vlKyMziQshyRt35d2usknn451xBFRp3VHIgSDssy2QQEdF94R1d35Zglx+9bnoIX+7YnCEizIG1wvVdmYvZQ1pKaQP/VFUiIVVIyuhQ4S7CHyDqqMooe+W/ViVA2CESUdr7MPP4PWvtQjze57qeSYMDOYMMNIwtHUBE0R0hk/Pih36MIxNBzos4COl2fjFCf8qA88caY+n2hyJVmOgHLaun5TKgnqnAyBOrSS/jYm4u9KPW/NJyNieE2uJ5I2vIt47ElZ0+YGvcB9ZcvJDxn//ZV3YWU0yJKLhrXkCP8r/gbMmbFtid6KRCEvPHGyGMd5rO0Tz77763VOt/sb7GgLM4MyOtknR8689G2guMuJLzv8Ar1l9Fh3nUmCWiWsJl5ryP9G5QtT4Ihuuqtc/a60nTNtxA5TC83aNOKJwhjDUj5xwxNasyZpHe10lHvBcSpEuO+Jz3A9S2HPtrdCFk7lCNHKII+aVRK7ya9Tv/KDL8wBKusIK4IEwVGSBqOqweAISAQRW+wawr/WmYMnFGQb8cqkLz8ECH72sUXl5KIYYX0KWVm0ggWp1kSJjO1AvvDCBwY3PvDdxno3K9GH0IUiCO1JZyXUlrlMmMfiYItn8YIABLygL9D1aF9uIBD/6hzhhtWULEyPkRGYLuUXjfzNf0f7jsMqpr//HakmYFtTQST5l/+YZoslk1pKtlSaUD2GJK1xy/qoVrqW7eRURztQq4JSKm+Yoy3eE5Qc68StQzUKmSrclp7uaExm8vGY0VzUHA9HTWlGxQta2osb+hU1CJrGGc5A2dJ0YshJqnKHF5kJQVD3MCUG6WGRCczEDILE9CQpVviZ2peW57vc2c8bztCODjEDoF6O8yXDMqBGZvK8UxkjWs74pTkCiqDImMoOJ7iWutBVR0c5SI/lMhQdiZlMjqooOTZbVx+V6ZUnFGQzGfFmyIJnDI1QzQ3ZdEnc8oMjjoGGO0g6j0EW/2PPyBwEQaJMj+owNkrFmOIlADJVwJR1HYZ6h2SP/KZsPog7rf5kJ+6RVGWm9UvDXFQiaxqiLdaYlZByLzeAJJ8L6TqhlNY1fEU5wl+gCjr6KcsNQPHDE6zgBkuYIqd88Re/MFKQb2ZEMbEjosQm8jCzUaZvf0NjQoKESUnZTjrMMmWyGAuafrWSeJfMCUpcscDVMNQVp6IoRBECPYaZaiF/Ox3G3KBRvP5mcXkd3+F++0afvfUoLxiVTVjWtNSexBNmeMITjjDdXRnCC27whCnMYAb+cGQndvlJxJSoyYgEkKgwkxhFA8gYTMaWIVx7YP0q9RPFILSCUaRReOunWP+qkfaKC01ZJGtiCUNMLjz1lJhEHsO39kSrMP+wB4OI0lKhtXC4KNTKCd3I0ru+sMNwLIrkhuQlygQUc5D8khWoO93pHsELQXUEi5+Q3UeubyKeMDBGTAHPUtmzIQhKjzP+YTVr2KOyAkSP9FIz0Ehycbz/CjB+qGSmvVCKfmsjUEocMbqCZLBf3JEWgnQLnlMVxhzucIc97CFhNkvYGHawQoWBq2G31pXDv20cnocLARc5oyVmyNQVB0ISQUP1xS5WtCEgagdFW8EMNHLETv7St7/oRWsLZl0SIWKOf7gjMu74R5KHaoquDRmDd9td/TryGI1ERi6OvA5Q9rOspkH/UKszmZ5EYJSyjABIWgpTiLTa/A8JG9vNb0a2O1xhBd86rixv7dAziSnMPYrUpHDd1rkwhEdweftRc3rB7eRsBSAO6GQt80KLE30EGB/MC2aQiRWqW10r2OGpdnkRy0pFaiM2RKmuELU9omVsb9BEs4z5N3pscivX0hRrvvrnJZu2Oav6U6YpEVUZo/SacIYn2O6gaJqLfWxjs/nNbUYy8+gsL+B+4AYwHuEz4xjNuRLXmjvr6Ep1Hq6TjghRGTqBKbzREzP8IHnK8q5CvFDdFtf7CW74EnWbN+lye2HShuiuBmUT2WFBMciTQUxFBOMFIv8jwp9GCEQHM7E1PaRZ/zKCshQdcaoZ4nrWEr0yOa9jNyoVjCaVbq0hDntAUobTG2s2B8pTnuw1G1sgfrgBBihPrqdAAAMnoDzmMcDGE7zgBT84wg9+8ASDHcwSVhhccOW6oQ+84ASlt8Lsaf+CnWMbxDZH5kh57sw9Q+AE5+vrE37ATQg6EqpaMoPT622FSbvB3YnW7kX344XCGr9gBUNYwgK4upogxjx2oBfkiz3hyFDrO6fWdIoLJMVf9zhfpcM4RtwnKc6lVkale6yWzEY1U2xXYiIKzdSM8ZAt2Riv2KDIMgyBZe7FDKzAC0BnuzQCJAikJbzogPxg+X7gA0CKhDDgB8xAzCpCIipDIf9OhXmMS89WEEI+4Ajyjy9+IAK/yWCaLupa4unMQMfoLdGoywoIxBIUCW8O6NKESLMuyjt+iWrGBlUsQaPcoM08DfKixxfa7DDITrJczQyihQhrAtdmwoC0g1leq270hdYyZ1/4i5x+7S/sYtKIUKIW5tIiY0jMwQ7tsDBipjDswQ5/yR0CirZkwg7WDfZO4AQ+QPMo7/VOAPhe4E1U8DYw4AWwjjD6UMicyhn+0BOOoI4w7MPuzM5uzueW4gZ4xD3uRX367oAM4elgbN6eYFcGi/l88IocwQYj0C/0wov0QlQig6hKRSL68FQUYj2eoChuYM38wBqMrWAqw9jcY8n/DmIxDgbuPIFlIsPAFOqUjMVtaMp+MAhLXmSWduUj1rAkPoZfqqjhBkyhTtFgAAM1ykYhTAVj/MAKfsARMQASf+Z6IOADvIBAFAwwLqgh3kuIssYaPKFmSIgfG3LDumevcCW2KqrAZGyDoq/equsNbWH53M0jn6AWHzCwDqY+rO/edoIY1cQaQcIaZcRUzKoPk0cjZuUEbOEfzEH0JErCZs8UPskVuoRqaidljM/UwgNNOEYxZgkj5O61uo5qrFENfU21oIxGhiXFBmZYHuqiKoO2NOOAUM8SzGDyUsgTtQLmDs0hHILBAMip3m4gKsMQni1okAuaXMgqXPB87sN9/+6jI3oM5FTiATOyxiItbnTMENyguwQtKAhvrDQjebYrKPQCzGTDL7gSt3zRFzUDMhPGF6zAEkatxpaxyCbPCn7yXljRDFDn4CqwAXFkCcMqcxirpriIKXNHLmZCogbvxoIFwDqiS1oFR3ZtSTRjei6mwTBpSQzBCmxvLqOt95DiBUBSVDDpgAYSnjitLQkD4JwQ54qp566tpMATPKdNr76yZSKjcrjjS9YtuyZNknqRIE7Ju1yyMuLRSwwGRyojJQzm0v7vNrcrMo6zCOPTwCTNTGbLGJAMaU5OMnXsYPTCGdLMMMLp45pmx0AHi94GJ1TCp/BuwL7xsAJUMHTsx/+OUDglKUQJkpT6zW8QbrA6kEUYBdzkhUIURSlO4Ah2BTPp8WICSpcY4+Cys2Fa1BGOoI1sNNv85OfahfeozUSg4gfcQ4vU6W+CkOoiDT//r2XoUWsqjcE+Loo2BUasL97swJEIZBhzyRr9gJvMdEAAL1qI6qisEW9QYyB45R/OxC9RxSZ84Q/5NHlAwu/4Re4Iqk2BYiCsz/gwYlGXki8HRvtswTA0M3kUajMiSSvhcSAO5kElUyxbbkmb9DnJAuYo0RrUTORGDmYSTIjaMpxWtFRMUKJ66DtwpHp8LqTI0wPt7F22AiQbrMSKBMVWYrsaad2iz2DqAzEhkDtGYl//PMJLTIHqoq5kmKVSXbMmJjNMNGsh7MXXQOfALsoecOf9Guwm5ucnr+O+cse0OCKnasw+mobFIE0jpCu7uGR3yJAlcG1YbCUrL+tALmYhggJ1zsQLmBP3kjTcUGpnJNEKrkhSSiXNqAWiJCpC77QtJUWiVpVC9bOXfmlJiMocBEfP9tFkf6Du8tCAXEZYksd9TCW6Xiz6pHNaNTK66M0j3S14rM8UaOze8sM9GIsBd0LjSEkzuuyVrlKV7MMcmqUjCE9GGIxqgLEJGQo2LsV9nOZYa+xv5GzSpGsw2Q3rZkRH7MNpfsKUcImiEM+idEz7bMLR2mjPWBApMKDGtgx1/xJmbZfwMofoOjW2BCVDSLvDVMKpVNzBE26AIUPRZLMCA7ygx/wSc4KHahbIDAoGF3vQ3dzAFdbt6aSu3RSNu6YruqpLp/zLyfprcvpmgZaGlmLq16D2xORQMP4PYQwoROMwW9fVDLiJm1qrxX4Qc1isunbFFhVtujjXDSCwd9t0ivyqbFBjScIptw4GaxDLTZwzw1RoLHDUuxxJzKIlMoVkLd+rIr6mcDMNl0bpSD5JWsyqM63NrqBNcR7XT+3Bam7kMYpFI6Su6cYI+hINcpfv6ZznIl2s3kCXunqieO9iWIBFOqZE12A3ZE7LS3rxLyj1GlfNTM0g3gBELzwDQP8OZFZtwQ4ecLq84Cf7xSY81+nuljR48AiUF3lnTwfLUZEklaLKaCeG5KzWbj9+AFSJi36JmENgtCog4AVY5gaegAQzTa1iK2aG06l8cqn0R+FmxRaeYIjr7CGFKys+YIficSJYciBmSDo84cUU2N5aAuo00hHYDepMTxZhMY5/Vjqk9OLkohztKwwFpof7BmXcIKesj7C0K9BoTPoaqiO0jzLSTCBMszoxiIBnsd68YLscTd6kaxYJ635qqjAMg2ADSktH58DcuIvzjG59tWBG+Go8aFbVty3piX0zyalkhUjs4AZyTkk9ytu6ZRSTQhKRohSPzDsMjNZspzS0a7D/WuwmnI5l2u0I5M0Gn266nMeFdXCarcMjlJJQa61+oOZSNwIlLOVH5AyBexDfZiydk7dLpKW1Cma3RPlLPPheiPeNp/UJdBBHOLndzG1WSiUy3HbSwOZeIFNYvIAR65JEuBeYl3SYaO4YHeEDfkBUroZqF4JP3SkLjWqU3O7tyuY+5NL3CAXceJl8OjD2ZM3AussW1pZHtgt1kg9YNqJnc3B0Dwx5SdcOLPnFwiR4n8AQJjE/RGVH4uLctExpMmMvUBgWcZD55tj5RveQJ+0/pOtyZWKDUjjeHKllqJG74q13480Lyvqa7SBpwPaaL1dSo+eVp4d61w5V/OAIQPWX/0OV2sjT5qaJXSDAgxEAcr2UVdePiQpSlMbmvYBzlBbml4zBGF3OwnCVhWKveQxPSBobHqHRD1LNguziuyLIEqwZJE3NMvyg6eoteKx5FvfC6eLNDw4x0uRii76LUbtZNnnEyaDmIoiXujDZE2zwjaOPOXTMP48V6h72YEz7I22sMgeiUjl144ixBG1XVCAKRVkG3RYCPwDkS4yUiOEq9+wosud2Kj6gTX7AOmt3TQhISJNGRHsJdQYSsZHGIGTFF35gH0kI9qSziaQ3QmHGVL4E3/4jcMJEoGwzI6QugGUWch0h0rKO3lTYhUUbcnnbTA3BNn7AU0BFOgbrBQgkS/9ebYaGhU3TuboApKcxsnnmk5R6WrX1ObAEkVOTzoOl+W79EzEfsKzjzUZOm+qmOeu6a1t/e+ZW2cgR4AUb65VHKeCkkWop6swkYorDCcqt24wATpwUd341rFQpA6JM8GUUJjCmMy9aRml60sn4ZdK21t3kTRbdLcagSiXkWNGOwMBcbAYd7XH54oBq2g5GKHg4piSCli96ZMIzknPDMrat+jBZ7LpCV46Lt1R4Ynkx0ppFcD1lFup2xRKMO/q0a4W39T6EWMRCrDm3l4UGCwLwrb2quLbIKnAjI2k4GuBQZcweCnquJpzsQG7B+3GKYhInrTj9cFYSD5hKxS3OzSP/mKNZ7K+qQkJfLNwVAngWDSE8qF1zqTneCksj5gwkOWJuBMQLMA+0cug/SC+bypEHqetyT29UhAUkrE/Fx6h09Tn6sK4lIO3AdGx5rZlA5MzSW0wHS9d0swtqFCI/xcnZ9HoUHTK8tSdxPjzzLrogpTEPY2YJR6lrNiuTPAvCTvUSdwKYzKDXPzFdgO8EpA4w7HBVJ4paBk+PPUIuHvh9duhvcuiKSIOTf9AUJtwHUZzTt5bdugyP5WL5LoXEpUjLP0+nwsQlbqIqjuAiwNbpvgQxTZJzWVEwX/gItKSZGRzCBRMXG66sd3BmMTLG5oYBD4a0N+PAwnKhJUR+V4jh/8Wiu1a9daj2JbGq4hUuMZiIngyShwQ2Cd2hM4f4W2D0XPyxietuVkXuYvpQCTPItu0HnIPWGkhCVGSeDG2k3z3zt5F3mnXstHleORFYwr2rw2nELfSYTIZiKWawJ0ELQCqsFB0t5qgrtYM7xn7bpy+5BuEcQLCrk6e1sFACQVxW+eW5Mv5vnETlP97eDvDbwxpefmdUrsinRuuEKTDAEaLz40sw4zd+08qrk8jDYSzbLwVQIVBjzK1g8rbNH93gKT0D+am3jOoQzaKnLaTj5gHCjx9XnuwItOXIki+BBP0gNAhRoSU7bszYMWXJypONHA3Z8vPkCMcnXiyZsrPRjf8pQ1YM+nEJ0ZAvX6Z8GXoJ088RBDwRnPhwQ6YpWy4HvkCAwYwfMxggfHhhxZUXkRupihwI8ojIrVWf2HF1E6OXkF1DWj1ixSRFim7crPVkzJMbjSJLOjNmzBVGKx96IoDg929PwH4JC+ZJ2HDiwYgDH27MOLJiyJMdQw4M+AdYW85m2nIFOrQva59d2SodGrQvb6BRtwZtzFpq0KZAO3MWGq8zc96c2bPnzVdBL3ZQfnDqxY8bV968mTP2ebUv2rVrWoPuyhpN0MUF+vHl6OX3m3Zk+nFU8LujiycNGnLly5J4R7YMuXXjRaOXoX40lrVyxHK2mHKSFUrBVJRCt+H/ZokhxUHEF2BOIfBBQzZBZIsVCLwg0A9+ueFIWWSR5YUnGZHFFVWO3GaHVmW5iOJyhlS1lVZmeOKJGVZY4YYfClkjG0g3GHbZY48RaWRklhVWZJNIIpmkk0suCUF/NwzV2mdaZpcXaq6Z1tlrqZ1mizd44eWLLWmeZqYpOFqC42rWePMbb+aY4452bp7my22cTWeLdnqlFltpxuBW03o4efKRQZZ89JIZZjzRox2MCvSoIY6YAiSZpvlix4EC2UGfXPrpaAVxbSnkS1zdvTrqe/Hd5Icn8LkS3oN8UQgBBHYQ5QeBLpniBwbJMdXTC57QxZFVI27qRlcuXpTjV1ml/1gWtNJqVaIxK8HpiSneWKPTCVBOiW66U56rbrvupsvuCYZ8sNxspqlG2r324kumLbo5A+Sc5iwIcMACy/aZiYZ4Ys1d5tjjzp3ORTwukHlZx5kzrmVcWqADmoaTHzLl6lB6VvR6RHGOxNddoMERZAl6d0FnSngiq3kTfpV2Z4kr3t5kSE3Ejiqe0ETjZMijF5v4AwYYIHBDfS95NKpJKfvhIWICuUjVi1upxNKOPLo5aUglEjvViDbWPJVWIlmx8Gn2WfHDCz89ccK7jrGLmWV8M9m33oL/raQXZvxQ271f5qsvma0eylvDDaPZr6CK9xubK3DWpqZ0Q3lD8Z0UA/+5oDF3ytaadbiFdtenDoonXNGQevH0B1aILNyDHsUXsiexnzfUTBqLl9PCaXryOk6OwCefyAohdHR3C/tszGigDokBnMSHC+dqYLnRF08/eNIsil2RmpBJndmCoyluYPuEGSZZoqOLwaKUqhuabmqLGy/06i4oEU5weyOgkg7YpAT6DV0YMMQPHBKaxLUGYP8y2Mz6xLjEJS46jPtSbWjyKk0xCmCtck7F8KSxx6UpNqvzmZ7gE6jnQEc8cWuPj2xyk5AY4iYKsaHRpHea9TyoPK1S02dsRqqa4IpoCLKDJc4EHflAJGSPokmDBBI3S/SoUS5xQ7hqFi69OMIMN3j/Af1g1DUVtactZkhOfcbiLLXdDkeGuFF9FsY9Bz3BEDsxoB8HGKUF+nGQlznXYh74BNW06jYGM8d1iugazjFuX7BB3WyQdzOwTJEiHsnXaJrzMHs4cmaHio0MHVk9UzpSO3G6zXRsFZuIWQw+h0qTFBWiSfEoxBNM9FFc5sOoNPVpJRApJs9qsiZbOqiYu5Mi8YY1p1de0Q5eaEt+dmSGoJVSPnNBEbdMBCAaacUKOKKLs2BkOIaZSU1LGYtZnuCHxSRJQoGTDOAQKBgiGfJICxQg4PSpJHnOs0iKCZYxenOb6q3JZ6uT4GxMcShK0sYVADONvw61PtM0DFARhI+Z/1rTJ3P8A2Lr45Mz3CFK0pgITmoynSidcydn0Alio5RpZzrDy+LIaiIxgU+uegoenHQHLtBJE0ZG5Z5g6iVnmIIhL4P2O4NUanpGdURCQHoajFgVXAoLFYjCZSJqGmgl5StLiRZSkYpI6jwm8YQjdkjNk3BlIw/MWkALyE+CHpBvldknZfDqVwUK8El49csJtDib0kiSJh/bl8cSO5NDAckd4yrdTAiSEE9oLLNwsoRnISobAiUustaQWHNOOzCAmTA4GAneXV5ps+VVj096MQlNQkYqmrzuQT0U6nluRbJNwfCDR1zmECkiEM1WVoo6tdVpNGcftnSHfxTEqC3kU/82t/2AR7VapCuoWZUf3MAKK0II/9xqVc1+BD/S8tFItnI7gQI0sFSq51/hNdDC1tOfUiIkT4jzlTGlZjQeVNwnGVmwhEJHTd740mc8u9XPeEcg6YNLcPrlqQnG5a2a2p9tA6axaeq0JuxbJoVX07qYMYRlDxKZT6kIH+Qd11GBwqjmhNpi9HwKZiReCacSWjPf6vi5bl2mjpRiknt51lYEwpEQwaXFF3jBNCypin+OMJAZmS8kN/ADHJt1BEPcwL/29S8gyYzmKEGpgXDb4fLsBbDO6UZykyvtglNDINoQ2LGdG01J00SdnpHGZqO6T62gs1XnZrVBj3ow8GaCSWP/egR6STMNC3k54R8ahFHXRWpSYdig5t5qJTo2aqjvY5CVmSk9LK0eLQeExAe1ha04YvJKsdQQinghOc9z66S4ZpazZVdtQFGbWVpC2HadWb9pVteyme3fB2L5PM5dJJB448rZdtQ625GgBj1aVGtb7DO1cUbzZK070zRvh3CCj0zdgdKBTYcgbsJPNRl2nZU8szs1yWnIfJZnYY5GNoz22UNabJLn/vS4SZMTkHiH7lRXkbnUbqnFg9xiUoHGrcqhyw+O8HGSONHPqdSYW0OVH45UM2haPucPPnCCOIrkBYY4irIHCUj69rfM9eW5IPG5rmDB8LnVMRFz5j0oPONr/94bbOltYJrQfhHki3ApSItFltnYPI50NEMvfa5rB/+YE8uaYt963DLU6ex2ap8xbtA6026b3sU1o8lLeNCO8KGchuNJC+aAWKqm2mKduEFWTqqDB2tZYeSL62mjRfruZOWknCQWAZ6/AIUXV3g5nG6jvBnmSpUbeKXn6NJ5s0/fbIAy6VyHbR5SJ1wrZ7SP3tUZlL96I1nJuRJQt9l2aLQUqO0EPs96uSwvoyVOF3lROG3RXYc35WfNhcohPO3dL9OOq7g5WmS+89PlautZ1WAWx1gH010ezneKtsnwQ/Stj7Iz7oSFy19Pd0bNxFqjkBiIVO2TYo80BS5uEn4z4f8+NEIj8mJzPxdIgSVQ92UkDZhffWVf8iUlk6F6+CRPGFAr3lFM22NF5bdICbYb2vElHdV7FiU8jNQwqkVMPQIujWcW+WcgIAJlFAUeVkUr6PYotzERbbQzk2ZivaZ32VdxCfNTPsIoB3Ud6EcyC6N3CeNM5WESLIQQQZNVxqU77RZ4OOhpzbRVG7Rx6WUaJ+dOZ8EtTgRcAfgmufIEBqIchQSHcZhX+wV0F2iB97RXeUiHCtQ3yRY4vqJ5QHMeWxV+FjMTkQVov0eCv9dnkXU6K4gmazJbfeIzC3EEL/ACPxByb5Mc6PEmklcVN+IJbVMjc8UjcCF7dQQiseMofYL/iHxSQibnZopGbhwHTLHRG3Nid0jVfDq1PLrFcMhkIrSIEVgYQjGGW7rTJ5NoVCYSKbtWTT5CIFK0a2KjEfv3HuwTKj9wgQooWECXX3qYQBAYjnioX+ToRydAUUYEKFuiF75Dgn2GUYxEWSBGOnexPtIRQRd1W/ghXjegFF52A0DRiWAVHm2UfFwRLC1XVjVyVu9oCbvmSxEzOpWFec3BSOMyIJFGYYBHbjGjhVnlVptjUeyTjBRmKwvyUcyFdmhHVcREPEUjHFjoHUkzFADzdKyEEy1JEW1EKi/xBC8QPnWIes5WlEeJehCQFLT4KXKGQSZUSmdyiIFCGs81URJU/2O0ZApkdBx+cwIt8R6uYG9X1nnlwxUlIRfn9E5k4UXIQx8+cyd4glKU9VpMx2GDeJNzgo+tU2SyhnaPVl29sURrwTNN6Sa0gh4kRhPII0KLRpO8JTfHJR7cRyboRZILdWMxYwhTcQJPQ2b8hV8+B21qNpo+B5oYCG3n8gFYBlGV1RlTyUFhknSvASRisi++EDGugCzu8gEPZAc3gAE3AGzvhC1ucxGOwHlrmX8LKY3TgVENoyauZHYm8YTkplXTQ2QcZpMlqVU1qWiYBH1m52kRBzxKOC7QNWPuwTwd6BLLk1ULVxx/+VloM5DPZo56Y59I6Y36SUgQIGUDUVqRA/9iMoVKfGKVFEUaWCmJ8TFGQ4mfYeYGP7GJKTJXu+aC1eOWOPhWG/pWbhEu+PMrvSFw1XNBLGRFQuQWQJMQECV3vWGSODZjPpIx15FT7Ud+2nddIoSCh3kTv0gsU4QTvUYesGJ4CeEI0dKZRmlAp/mZNyeap8eAC8hzAmRGp7EbcYlaKAVTcskboROXp+MLR8Ck5Wgsm4kBTwFfhlMeniiA5PEexiBE++YoCScbYuUGgeJKRyUyAFgTcidZGTV1mmmTZAKTLnlVMKQ5CTcdMSOZv1hc6UltCEpBKoZj2TgRWEQybZE0Y/Q/62KaBVQZ93kY3bhzjEGq5MhfoYqq+yn/hw+ImoiBAU9AktGhG3E5M6WlHfO2mVMhlKBJgU1yAmaAnCmTmCbSoQiZfPBELMo5nNW0MqSRcC3VJ69llQLoWQNIE2dnTDkGUcJnRG7yVuOZNJ7CUsczpNuqO8F0a03JY2rHP8lEgPYxJHu4c6FKrw7oqnJ4qnd1T786mvZ6JKo3pr6qbE5xppk4kB+gsHbzNIQDsIH0gDQHKj/QhmBWnCMibGupNjdwAifwA79yEoOqSteRMDu0P4JoW9lakz4SrYe4asYomTzjZw0zmDGqU1WEcT3iFljkO7j3reuGI1jjmVPqjf7kh+NIeghkh/TKpKuqtBCrn2PKnwQEAT9g/x8SCiPmQ6EicZzMYpbmghQ/oC08sjygNDAMFiYGKkycAYkGilnkkVxqom/td7NOFVuIZ4uFuajk12Lat26ehh5e4KBTS7iF66RNarholp/gyBMYADd8EXMx6E0jYWVq8QQfB3JuA3Ka+HGi+HloIaxsGxd653q0IjJYBFGdlp59S2IyVnGvNJ7d8VuVaXA1mnFDBR/3F5Opxkt5I6r8aXpQOziHm7jvYnpn1rSsmprE6xP6cwRoGoOcW0aYeAKY+AKiJx/WewOaeARq6h0+WTObS7HJQVH5qLpAClS2+yrrex7LWD0YZ0yv9yD0QUqJ6CZFVmm7uLo+4kDGu7xEm/96/xuaA/y7AHyfi5u0xauk7cIhWLOJJJEqjmcGf4mpyTiWHHEgCuEI+aFdXMuizRFUz4RU9MEycppURgQfwiFEsMJwnKZvWJQ0JBkbAQNoTQZh6NEgTxC8hHu0SJlzf2RmeyiB+Fqq+fSpExiHp4mOEJAy8VkRYqMVmngDHPsCTtMUvQJApYcBmbh/e0oR+hEs1gAxCUqpHfg8PZpZIHVU09W6MJpcwCW/7efCiCmGpSRXnYq0c6hX5TiqRduH9kTE7DLE/VrESVxmEDiwzLa0pAnIc0iq+brHfVzA+FnASsnFlcduEBUxZwtoAahR0UQbCrO7MDYdd7uoMCu7PVP/yr5lkxiBpILcqkisgN3YgD18wLfMyJJMyPwqy3z4sLn8tLf8yMCMy3n8u8nbyMZMJU8hej2ShF2CwsaqKch4u5sEKwszj9DjWzcbPDcmPWE0EXhDy7OszEYsqrD8qrYssL38pN8YyZCswPEsz/EMc5SiP2GkFzzaaCvcRB2IHsNnoNZZGzMsTe3zYCgBtgE0z5O80J7a0O7M0Iwb0ax6vKUZwIc8OGjqBqq8PgfVaS9RKc6DePDLzQflao3FtvZ3E8DJvAlclD+8wBJNlBMtvDP9qoqr0DHNh8ArwDLNnzAnnPLjbq+pGq7GcS38GlrFpuCK0Ai80zotpVCtvA/tctJUXXotnZQ9fZRSm8jqEpxTHCBPBFOPlM+fcjCAWhCT8gM/AdMTvcNLitU458da3Z+A9U/8SlhKnLR+tc6GXMxE3F/7+tc3bdPrggE/MMHYZDh/Amv2drkf0BTMy9V6zMt8nK8EG9V4fcSBvLzITMQBAQA7
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
;A : Agfa Compugraphic glyphs: [[4.2 Monochrome Bivariate Line Symbolization]], [[5.1 Monovariate Choropleth Symbolization]] : AMLs :: naming: [[2.4 ARC/INFO Hints]] :: running: [[2.4 ARC/INFO Hints]] : Animation: [[2.1 Classifying Space]], [[2.3 Page Layout]], [[10. Thematic Mapping]] : Area symbolization :: choropleths: [[1.1 The Principles of Data]], [[1.5 The Methods of Visual Communication]], [[2.4 ARC/INFO Hints]], [[5.1 Monovariate Choropleth Symbolization]], [[5.2 Monochrome Bivariate Choropleth Symbolization]], [[5.3 Color Bivariate Choropleth Symbolization]], [[5.4 Multivariate Choropleth Symbolization]], [[9.2 Monochrome Bivariate Isopleth Symbolization]] :: color bivariate: [[5.3 Color Bivariate Choropleth Symbolization]], [[6.3 Color Bivariate Graduated Symbolization]], [[7.2 Multivariate Grid Symbolization]], [[8.3 Color Bivariate Dot Density Symbolization]], [[9.2 Monochrome Bivariate Isopleth Symbolization]] :: dot density: [[1.1 The Principles of Data]] [[8. Dot Density Symbolization]] :: fishnet: [[1.1 The Principles of Data]], [[1.5 The Methods of Visual Communication]], [[9. Isopleth Symbolization]] :: graduated symbols: [[1.1 The Principles of Data]], [[6. Graduated Symbols]] :: grid cells: [[7. Grid Symbolization]] :: isolines: [[1.1 The Principles of Data]], [[1.5 The Methods of Visual Communication]], [[9. Isopleth Symbolization]] :: monochrome bivariate: [[5.2 Monochrome Bivariate Choropleth Symbolization]], [[6.2 Monochrome Bivariate Graduated Symbolization]], [[8.2 Monochrome Bivariate Dot Density Symbolization]], [[9.2 Monochrome Bivariate Isopleth Symbolization]] :: multivariate: [[5.4 Multivariate Choropleth Symbolization]], [[6.4 Multivariate Graduated Symbolization]], [[7.2 Multivariate Grid Symbolization]], [[8.4 Multivariate Dot Density Symbolization]], [[9.4 Multivariate Isopleth Symbolization]] :: single variable: [[5.1 Monovariate Choropleth Symbolization]], [[6.1 Monovariate Graduated Symbolization]], [[7.1 Monovariate Grid Symbolization]], [[8.1 Monovariate Dot Density Symbolization]], [[9.1 Monovariate Isopleth Symbolization]] : Audiences: [[1.3 The Idea of Visual Communication]], [[2.1 Classifying Space]] :: color selection: [[1.4 The Means of Visual Communication]] :: symbol selection: [[1.4 The Means of Visual Communication]] ;B : Bivariate mapping: [[1.5 The Methods of Visual Communication]] :: choropleths: [[5.2 Monochrome Bivariate Choropleth Symbolization]], [[5.3 Color Bivariate Choropleth Symbolization]] :: dot density: [[8.2 Monochrome Bivariate Dot Density Symbolization]] :: fishnets: [[9.2 Monochrome Bivariate Isopleth Symbolization]] :: graduated circles: [[6.2 Monochrome Bivariate Graduated Symbolization]], [[6.3 Color Bivariate Graduated Symbolization]] :: grid cells: [[7.2 Multivariate Grid Symbolization]] :: lines: [[4.2 Monochrome Bivariate Line Symbolization]], [[4.3 Color Bivariate Line Symbolization]] :: points: [[3.2 Monochrome Bivariate Point Symbolization]], [[3.3 Color Bivariate Point Symbolization]] : Boot files: [[2.4 ARC/INFO Hints]] ;C : Cartograms: [[6.1 Monovariate Graduated Symbolization]], [[6.2 Monochrome Bivariate Graduated Symbolization]], [[6.3 Color Bivariate Graduated Symbolization]], [[6.4 Multivariate Graduated Symbolization]] : Classifying data: [[1.1 The Principles of Data]], [[2.2 Classifying Data]] :: Eyton's ellipse [[2.2 Classifying Data]] :: Jenks' optimal: [[2.2 Classifying Data]] :: optimal breakpoints [[2.2 Classifying Data]] :: unclassed maps [[2.2 Classifying Data]] : Classifying Space: [[2.1 Classifying Space]] : Color production: [[1.4 The Means of Visual Communication]] : Communication of environmental risk: [[1.3 The Idea of Visual Communication]] :: messages: [[1.3 The Idea of Visual Communication]] : Complementary colors: [[1.5 The Methods of Visual Communication]], [[3.3 Color Bivariate Point Symbolization]], [[5.3 Color Bivariate Choropleth Symbolization]] ;D : Data: [[1.1 The Principles of Data]] :: attribute: [[1.1 The Principles of Data]] :: classification: [[1.1 The Principles of Data]] :: empirical levels: [[1.1 The Principles of Data]] :: location: [[1.1 The Principles of Data]] :: spatial categories: [[1.1 The Principles of Data]] :: spatial grouping: [[1.1 The Principles of Data]] :: valid comparisons: [[1.1 The Principles of Data]] : Design of uncertainty displays: [[1.3 The Idea of Visual Communication]], [[1.5 The Methods of Visual Communication]] : Discrimination of hues: [[1.4 The Means of Visual Communication]] : Discrimination of values: [[1.4 The Means of Visual Communication]] : Dual hue ranges: [[1.5 The Methods of Visual Communication]], [[5.3 Color Bivariate Choropleth Symbolization]] ;E : Eyton's equiprobability ellipse': [[1.5 The Methods of Visual Communication]], [[3.3 Color Bivariate Point Symbolization]] ;H : Heisenberg's Uncertainty Principle: [[1.2 Metadata and Uncertainty]] : Hue and intensity: [[1.5 The Methods of Visual Communication]], [[5.3 Color Bivariate Choropleth Symbolization]] ;I : Image to Graphic continuum: [[2.1 Classifying Space]] : Insets: [[2.3 Page Layout]] :: legends: [[2.3 Page Layout]] :: locator diagrams: [[2.1 Classifying Space]], [[2.3 Page Layout]] : Intersecting lines: [[1.4 The Means of Visual Communication]], [[1.5 The Methods of Visual Communication]] : Interval data: [[1.1 The Principles of Data]] ;L : Legends: [[2.3 Page Layout]] :: areas: [[5.1 Monovariate Choropleth Symbolization]], [[5.2 Monochrome Bivariate Choropleth Symbolization]], [[5.3 Color Bivariate Choropleth Symbolization]] :: cartograms: [[6.3 Color Bivariate Graduated Symbolization]] :: dot density: [[8.1 Monovariate Dot Density Symbolization]], [[8.2 Monochrome Bivariate Dot Density Symbolization]] :: graduated circles: [[6.3 Color Bivariate Graduated Symbolization]] :: intersecting lines: [[5.2 Monochrome Bivariate Choropleth Symbolization]] :: isolines and fishnets: [[9.1 Monovariate Isopleth Symbolization]] :: lines: [[4.3 Color Bivariate Line Symbolization]] :: orientation: [[5.1 Monovariate Choropleth Symbolization]] :: points: [[3.3 Color Bivariate Point Symbolization]] : Line symbolization: [[4. Line Symbolization]] :: color bivariate: [[4.3 Color Bivariate Line Symbolization]] :: monochrome bivariate: [[4.2 Monochrome Bivariate Line Symbolization]] :: multivariate: [[4.4 Multivariate Line Symbolization]] :: single variable: [[4.1 Monovariate Line Symbolization]] ;M : Map scale: :: generalization: [[2.1 Classifying Space]] :: projections: [[2.1 Classifying Space]] : Metadata: [[1.2 Metadata and Uncertainty]], [[1.5 The Methods of Visual Communication]] :: definition: [[1.2 Metadata and Uncertainty]] : Micro and macro reading: [[2.1 Classifying Space]] : Multivariate mapping: :: choropleths: [[5.4 Multivariate Choropleth Symbolization]] :: dot density [[8. Dot Density Symbolization]] :: fishnet [[9. Isopleth Symbolization]] :: graduated circles: [[6.4 Multivariate Graduated Symbolization]] :: lines: [[4.4 Multivariate Line Symbolization]] :: points: [[3.4 Multivariate Point Symbolization]] : Munsell color system: [[1.4 The Means of Visual Communication]] ;N : Nominal data: [[1.1 The Principles of Data]] ;O : Ordinal data: [[1.1 The Principles of Data]] ;P : Page layout: [[2.3 Page Layout]] :: paper: [[2.3 Page Layout]] :: posters: [[2.3 Page Layout]] :: slides: [[2.3 Page Layout]] :: video: [[2.3 Page Layout]] :: visual isolation: [[2.3 Page Layout]] :: visual levels: [[2.3 Page Layout]] : Point symbolization: [[3. Point Symbolization]] :: color bivariate: [[3.3 Color Bivariate Point Symbolization]] :: monochrome bivariate: [[3.2 Monochrome Bivariate Point Symbolization]] :: multivariate: [[3.4 Multivariate Point Symbolization]] :: single variable: [[3.1 Monovariate Point Symbolization]] : Presentation graphics: [[1.3 The Idea of Visual Communication]] : Principles of graphic excellence: [[1.3 The Idea of Visual Communication]] : Projections: [[2.1 Classifying Space]] :: Alber's conic: [[2.1 Classifying Space]] :: equal area: [[2.1 Classifying Space]] :: Lambert's azimuthal: [[2.1 Classifying Space]] :: sinusoidal: [[2.1 Classifying Space]] :: Universal Transverse Mercator: [[2.1 Classifying Space]] ;R : Ratio data: [[1.1 The Principles of Data]] ;S : Slides: [[2.3 Page Layout]] : Spatial data: [[1.1 The Principles of Data]] :: autocorrelation: [[1.1 The Principles of Data]] :: grouping: [[1.1 The Principles of Data]] :: models: [[1.1 The Principles of Data]] :: raster systems: [[1.1 The Principles of Data]] :: vector systems: [[1.1 The Principles of Data]] : Spectral encoding: [[1.5 The Methods of Visual Communication]], [[3.3 Color Bivariate Point Symbolization]], [[5.3 Color Bivariate Choropleth Symbolization]] : STORET: [[10. Thematic Mapping]] ;T : Text: [[2.3 Page Layout]] :: fonts: [[2.3 Page Layout]] :: labels: [[2.3 Page Layout]] :: size: [[2.3 Page Layout]] :: titles: [[2.3 Page Layout]] :: verbiage in labels: [[2.3 Page Layout]] : Toxic Release Inventory: [[10. Thematic Mapping]] ;U : Uncertainty: [[1.2 Metadata and Uncertainty]] :: attribute: [[1.2 Metadata and Uncertainty]] :: computational: [[1.2 Metadata and Uncertainty]] :: computer: [[1.2 Metadata and Uncertainty]] :: definition: [[1.2 Metadata and Uncertainty]] :: descriptive: [[1.2 Metadata and Uncertainty]] :: graphic communication: [[1.5 The Methods of Visual Communication]] :: human communication: [[1.2 Metadata and Uncertainty]] :: location: [[1.2 Metadata and Uncertainty]] :: measurement: [[1.2 Metadata and Uncertainty]] :: modeling: [[1.2 Metadata and Uncertainty]] :: overflow: [[1.2 Metadata and Uncertainty]] :: parameter: [[1.2 Metadata and Uncertainty]] :: policy oriented research: [[1.2 Metadata and Uncertainty]] :: propagational: [[1.2 Metadata and Uncertainty]] :: raster systems: [[1.2 Metadata and Uncertainty]] :: robustness: [[1.2 Metadata and Uncertainty]] :: rounding: [[1.2 Metadata and Uncertainty]] :: significant digit shift: [[1.2 Metadata and Uncertainty]] :: spatial display: [[1.5 The Methods of Visual Communication]] :: taxonomy: [[1.2 Metadata and Uncertainty]] :: underflow: [[1.2 Metadata and Uncertainty]] :: validity: [[1.2 Metadata and Uncertainty]] :: vector systems: [[1.2 Metadata and Uncertainty]] :: visual communication: [[1.5 The Methods of Visual Communication]] : Updating lookup tables: :: numeric progressions: [[2.2 Classifying Data]] :: unclassed maps: [[2.2 Classifying Data]] ;V : Video: [[2.3 Page Layout]] : Visual isolation: [[2.3 Page Layout]] : Visual levels: [[2.3 Page Layout]] : Visualization: [[1.3 The Idea of Visual Communication]] :: arrangement: [[1.4 The Means of Visual Communication]] :: bivariate maps: [[1.5 The Methods of Visual Communication]] :: color addition: [[1.4 The Means of Visual Communication]] :: color schemes: [[1.4 The Means of Visual Communication]] :: color selection: [[1.4 The Means of Visual Communication]] :: color subtraction: [[1.4 The Means of Visual Communication]] :: complementary colors: [[1.5 The Methods of Visual Communication]], [[3.3 Color Bivariate Point Symbolization]], [[5.3 Color Bivariate Choropleth Symbolization]] :: equiprobability ellipse: [[1.5 The Methods of Visual Communication]], [[3.3 Color Bivariate Point Symbolization]] :: focus: [[1.4 The Means of Visual Communication]], [[1.5 The Methods of Visual Communication]] :: hue: [[1.4 The Means of Visual Communication]], [[3.1 Monovariate Point Symbolization]], [[4.1 Monovariate Line Symbolization]], [[5.1 Monovariate Choropleth Symbolization]] :: hue and intensity: [[1.5 The Methods of Visual Communication]], [[3.3 Color Bivariate Point Symbolization]] :: image to graphic continuum: [[2.1 Classifying Space]] :: intensity: [[1.4 The Means of Visual Communication]], [[1.5 The Methods of Visual Communication]] :: intersecting lines: [[1.5 The Methods of Visual Communication]] :: location: [[1.4 The Means of Visual Communication]] :: orientation: [[1.4 The Means of Visual Communication]], [[3.1 Monovariate Point Symbolization]], [[5.1 Monovariate Choropleth Symbolization]] :: risk communication: [[1.3 The Idea of Visual Communication]] :: saturation: [[1.4 The Means of Visual Communication]] :: shape: [[1.4 The Means of Visual Communication]], [[3.1 Monovariate Point Symbolization]], [[4.1 Monovariate Line Symbolization]], [[5.1 Monovariate Choropleth Symbolization]] :: size: [[1.4 The Means of Visual Communication]], [[3.1 Monovariate Point Symbolization]], [[4.1 Monovariate Line Symbolization]] :: spectral encoding: [[1.5 The Methods of Visual Communication]], [[3.3 Color Bivariate Point Symbolization]], [[4.4 Multivariate Line Symbolization]] :: texture: [[1.4 The Means of Visual Communication]] :: uncertainty: [[1.4 The Means of Visual Communication]], [[1.5 The Methods of Visual Communication]] :: value: [[1.4 The Means of Visual Communication]], [[3.1 Monovariate Point Symbolization]], [[4.1 Monovariate Line Symbolization]], [[5.1 Monovariate Choropleth Symbolization]] :: visual communication: [[1.3 The Idea of Visual Communication]] :: visual isolation: [[2.3 Page Layout]] :: visual levels: [[2.3 Page Layout]] :: visual thinking: [[1.3 The Idea of Visual Communication]] :: visual variables: [[1.1 The Principles of Data]], [[1.4 The Means of Visual Communication]], [[1.5 The Methods of Visual Communication]] [[10. Thematic Mapping]] ;W : Workstation environment: [[2.4 ARC/INFO Hints]]
As part of my ([[Alan Brenner|https://www.abcompcons.com/]]) tasks while an intern with the [[U. S. Environmental Protection Agency|http://www.epa.gov/]]'s National Geographic Information Systems Program and as my master's thesis with the Pennsylvania State University's [[Department of Geography|http://www.geog.psu.edu/]], I wrote a guide for cartography using [[ESRI|http://www.esri.com/]]'s ARC/INFO suite. The guide consists of a chapter on data, a chapter on design, 8 chapters on point, line and area symbolization, a brief closing chapter. I wrote the guide in pre-HTML times, and at some point decided I should make a web site out of it. I've finally gotten that task largely done (again, this time with [[TiddlyWiki|http://tiddlywiki.com/]]). * [[1. The Utility of Maps and Graphics]] * [[2. Producing Maps]] * [[3. Point Symbolization]] * [[4. Line Symbolization]] * [[5. Choropleths]] * [[6. Graduated Symbols]] * [[7. Grid Symbolization]] * [[8. Dot Density Symbolization]] * [[9. Isopleth Symbolization]] * [[10. Thematic Mapping]] * [[References]] * [[Index]] * [[Author Index]] * [[Symbol Index]] I would expect issues with some hyperlinks--both bad links and lack of a link where there should be, but I'll be working on those as time permits. The AML and C code that I wrote to do various display tasks are documented in the 8 chapters on symbolization. I no longer have access to ARC/INFO, so I cannot maintain that code. I will gladly accept updates. Cartographic Symbolization and Design: ARC/INFO Methods is available by following the links below, or at the [[SourceForge download page|http://sourceforge.net/projects/amlcartography/files/]]. The AML and C code is also available at the ~SourceForge download page. * [ext[map_guide.tar.gz|/files/map_guide.tar.gz]] * [ext[map_guide.ps.gz|/files/map_guide.ps.gz]] * [ext[map_guide.pdf|/files/map_guide.pdf]] * [ext[color_post.tar.gz|/files/color_post.tar.gz]] * [ext[bw_post.tar.gz|/files/bw_post.tar.gz]] * [ext[map_amls.tar.gz|/files/map_amls.tar.gz]] ! Old Disclaimer The ARC Macro Language™ and C programs discussed in this guideline are available by anonymous ftp from sdcdg01.sdc.epa.gov and are in the files: * /pub/readme.cart * /pub/map_amls.tar.Z * /pub/map_design.tar.Z * /pub/map_post.Z * /pub/color_post.tar.Z * /pub/baw_post.tar.Z For users not on the Internet, the programs can be obtained on hardcopy, 3.5 inch disks, QIC 150 or 8mm tape by contacting the National GIS Program at 703-235-5600, or: 401 M ST. SW, MS 3405R Washington, DC 20460. AML, ARC/GRID, ARC/TIN and ARC Macro Language are trademarks and ARC/INFO is a registered trademark of Environmental Systems Research Institute.~AViiON is a trademark of Data General Corporation. Sun and SPARCstation are trademarks of Sun Microsystems, Inc. ~PostScript is a trademark of Adobe Systems, Inc. Use of these trademarks does not constitute an endorsement by the United States Government. In no event shall the United States Government have any responsibility or liability for any consequences of any use, misuse, inability to use, or reliance upon the information contained herein, nor warrant or otherwise represent in any way the accuracy, adequacy, efficacy, or applicability of the contents hereof.
arnheim_1: Arnheim, Rudolf. 1969. Visual Thinking. Berkeley, CA: University of California Press. aspaas_lavin_1: Aspaas, Hellen R. and Stephen J. Lavin. 1989. Legend Designs for Unclassed, Bivariate, Choropleth Maps. The American Cartographer. 16(4). 257-268. bertin_1: Bertin, Jacques. 1983. Semiology of Graphics: Diagrams, Networks, Maps. William J. Berg, trans. Madison, WI: University of Wisconsin Press. brewer_1: Brewer, Cynthia A. 1989. The Development of Process-Printed Munsell Charts for Selecting Map Colors. The American Cartographer. 16(4). 269-278. capra_1: Capra, Fritjof. 1983. Tao of Physics. Bantam. carstensen_1: Carstensen, Laurence W., Jr. 1982. A Continuous Shading Scheme for Two-variable Mapping. Cartographica. 19(3). 53-70. carstensen_2: Carstensen, Laurence W., Jr. 1986. Hypothesis Testing Using Univariate and Bivariate Choropleth Maps. The American Cartographer. 13(3). 231-251. cort_row_philpot_1: Cort, J. Wilmont; Clinton M. Rowe and William D Philpot. 1985. Small-Scale Climate Maps: A Sensitivity Analysis of Some Common Assumptions Associated with Grid Point Interpolation and Contouring. The American Cartographer. 12(1). 5-16. coulson_1: Coulson, Michael R. C. 1987. In the Matter of Class Intervals for Choropleth Maps: with Particular Reference to the Work of George F. Jenks. in Patricia Gilmartin (ed.) Studies in Cartography: A Festschrift in Honor of George F. Jenks. Cartographica. 24(2): Monograph 37. 16-39. delucia_hiller_1: ~DeLucia, Alan A. and Donald W. Hiller. 1982. Natural Legend Design for Thematic Maps. The Cartographic Journal. 19(1). 46-52. dent_1: Dent, Borden. 1985. Principles of Thematic Map Design. Reading, MA: Addison-Wesley. dibiase_1: ~DiBiase, David. 1990. Scientific Visualization in the Earth Sciences. Bulletin of the College of Earth and Mineral Sciences. 59(2). 13-18. University Park, PA: The Pennsylvania State University. dibiase_krygier_reeves_maceachren_brenner_1: ~DiBiase, David; John Krygier; Catherine Reeves; Alan M. ~MacEachren and Alan Brenner. 1991. Elementary Approaches to Cartographic Animation. University Park, PA: video publication by the Deasy ~GeoGraphics Laboratory, Department of Geography, The Pennsylvania State University. dobson_1: Dobson, Michael W. 1983. Visual Information Processing and Cartographic Communication: The Utility of Redundant Stimulus Dimensions. in D. R. F. Taylor (ed.) Graphic Communication and Design in Contemporary Cartography. New York: John Wiley and Sons. epa_1: Environmental Protection Agency. 1991. Locational Data Policy Implementation Guide. Washington, D. C. epa_2: Environmental Protection Agency. 1992. Spatial Data Management Plan. Washington, D. C. esri_1: Environmental Systems Research Institute. 1992. Understanding GIS: The ARC/INFO Method. Redlands, CA. esri_2: Environmental Systems Research Institute. 1992. ARC Command References. 2 vols. esri_3: Environmental Systems Research Institute. 1992. ARCPLOT Command References. 2 vols. esri_4: Environmental Systems Research Institute. 1992. AML User's Guide. esri_5: Environmental Systems Research Institute. 1992. GRID Command References. 2 vols. esri_6: Environmental Systems Research Institute. 1992. GRID Class Manual. esri_7: Environmental Systems Research Institute. 1992. Map Display and Query. edwards_1: Edwards, Betty. 1989. Drawing on the Right Side of the Brain. Los Angeles: Jeremy P. Tarcher, Inc. eyton_1: Eyton, J. Ronald. 1984. Complementary-Color, Two Variable Maps. The Annals of the Association of American Geographers. 74(3) 477-490. fgdc_1: Federal Geographic Data Committee. 1992. Manual of Federal Geographic Data Products. Washington, D. C. gershmehl_1: Gershmehl, Philip J. 1990. Choosing Tools: Nine Metaphors of Four-Dimensional Cartography. Cartographic Perspectives. Number 5, Spring 1990. 3-17. johnson_covello_1: Johnson, Branden B. and Vincent T. Covello (eds.). 1987. The Social and Cultural Construction of Risk: Essays on Risk Selection and Perception. Boston: D. Reidel Pub. Co. kelvyn_1: Jones, Kelvyn. 1991. What's Hiding Behind Statistical Maps. Society of University Cartographers Bulletin. 24(1). 23-30. keats_1: Keats, J. S. 1982. Understanding Maps. New York: Halsted Press. knoble_1: Knoble, Herman D. 1990. Reality of REAL Arithmetic's Really Wrong Results. Transcript Share 75, FORTRAN Project, Session A722. University Park, PA: Pennsylvania State University. leonard_buttenfield_1: Leonard, Jeff J. and Barbara P. Buttenfield. 1989. An Equal-Value Gray Scale for Laser Printer Mapping. The American Cartographer. 16(2). 97-107. maceachren_1: ~MacEachren, Alan M. 1992. Primer on Cartographic Symbolization and Design for GIS. unpublished U. S. Environmental Protection Agency document. maceachren_davidson_1: ~MacEachren, Alan M. and John V. Davidson. 1987. Continuous Geographic Surfaces: Sample Resolution, Intermediate Value Estimation Accuracy, and Isometric Mapping. The American Cartographer. 14(4). 299-320. maceachren_dibiase_1: ~MacEachren, Alan M. and David ~DiBiase. 1991. Animated Maps of Aggregated Data: Conceptual and Practical Problems. Cartography and Geographic Information Systems. 18(4). 221-229. maceachren_ganter_1: ~MacEachren, Alan M. and John H. Ganter. 1990. A Pattern Identification Approach to Cartographic Visualization. Cartographica. 27(2). 64-81. mcleary_1: ~McLeary, George F. 1981. How to Design an Effective Graphics Presentation. Harvard Library of Computer Graphics, 1981 Mapping Collections. 17. 15-64. mcleary_2: 1983. An Effective Graphic 'Vocabulary'. IEEE CG&A. March 46-53. monmonier_1: Monmonier, Mark. 1975. Class Intervals to Enhance the Visual Correlation of Choropleth Maps. The Canadian Geographer. 12. monmonier_2: Monmonier, Mark. 1976. Modification of a Choropleth Technique to Communicate Information. International Yearbook of Cartography. 160-164. monmonier_3: Monmonier, Mark. 1990. Strategies for the Visualization of Geographic Time-Series Data. Cartographica. 27(1). 30-45. monmonier_4: Monmonier, Mark. 1991. How to Lie With Maps. Chicago: University of Chicago Press. monmonier_johnson_1: Monmonier, Mark and Branden B. Johnson. 1990. Design Guide for Environmental Maps. Trenton: New Jersey Department of Environmental Protection, Division of Science and Research. morgan_henrion_1: Morgan, M. Granger and Max Henrion. 1990. Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis. Cambridge: Cambridge University Press. morison_1: Morison, Joel L. 1974. A Theoretical Framework for Cartographic Generalization with the Emphasis on the Process of Symbolization. International Yearbook of Cartography. 14. 115-127. muller_1: Muller, Jean-Claude. 1979. Perception of Continuously Shaded Maps. The Annals of the Association of American Geographers. 69(2). 240-249. olson_1: Olson, Judy M. 1981. Spectrally Encoded Two-Variable Maps. The Annals of the Association of American Geographers. 71(2). 259-276. patton_crawford_1: Patton, Jeffery. C. and Paul. V. Crawford. 1978. The Perception of Hypsometric Colours. The Cartographic Journal. 15. 115-127. rejeski_1: Rejeski, David. 1991. Confessions of an Eco-risk Manager: Thought Piece for the Workshop on Ecological Risk. U.S. Environmental Protection Agency. rejeski_kapuscinski_1: Rejeski, David and Jacques Kapuscinski. 1990. Risk Modeling with Geographic Information Systems; Approaches and Issues. U.S. Environmental Protection Agency. simpson_weiner_1: Simpson, J. A. and E. S. C. Weiner, eds. 1989. The Oxford English Dictionary, Volume XVIII. Oxford: Oxford University Press. star_1: Star, Susan L. 1985. Scientific Work and Uncertainty. Social Studies of Science. 15. 391-427. toffler_1: Toffler, Alvin. 1990. ~PowerShift. New York: Bantam Books. tufte_1: Tufte, Edward. 1983. The Visual Display of Quantitative Information. Cheshire, CT: Graphics Press. tufte_2: Tufte, Edward. 1990. Envisioning Information. Cheshire, CT: Graphics Press. upton_upton_1: Upton, Barbara L. and John Upton. 1989. Photography: Adapted from the Life Library of Photography. Glenview, IL: Scott, Foresman and Company. weible_buttenfield_1: Weible. Robert and Barbara P. Buttenfield. 1988. Map Design for Geographic Information Systems. GIS/LIS '88 Proceedings: Assessing the World. Volume 1. 350-9. woodward_1: Woodward, David. 1991. Personnal Communication to David ~DiBiase. Referenced in ~MacEachren, 1992.
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;Symbols : [[&RUN|2.4 ARC/INFO Hints]] ;A : [[ADDITEM|2.2 Classifying Data]] : AL.aml: [[5.1 Monovariate Choropleth Symbolization]], [[5.4 Multivariate Choropleth Symbolization]], [[7.1 Monovariate Grid Symbolization]] : [[ARCLINES|2.2 Classifying Data]] ;C : [[CAO.aml|5.1 Monovariate Choropleth Symbolization]] : CBL.aml: [[5.2 Monochrome Bivariate Choropleth Symbolization]], [[5.3 Color Bivariate Choropleth Symbolization]], [[5.4 Multivariate Choropleth Symbolization]], [[7.2 Multivariate Grid Symbolization]] : [[CCC.aml|5.3 Color Bivariate Choropleth Symbolization]] : [[CDH.aml|5.3 Color Bivariate Choropleth Symbolization]] : [[CEE.aml|5.3 Color Bivariate Choropleth Symbolization]] : [[CH.aml|5.1 Monovariate Choropleth Symbolization]] : [[CHI.aml|5.3 Color Bivariate Choropleth Symbolization]] : [[CIL.aml|5.2 Monochrome Bivariate Choropleth Symbolization]] : [[CILL.aml|5.2 Monochrome Bivariate Choropleth Symbolization]] : [[CLASS|2.2 Classifying Data]] : [[CRGB.aml|5.4 Multivariate Choropleth Symbolization]] : [[CS.aml|5.1 Monovariate Choropleth Symbolization]] : [[CTH.aml|5.1 Monovariate Choropleth Symbolization]] : [[CTL.aml|5.2 Monochrome Bivariate Choropleth Symbolization]] : [[CTLVV.aml|5.4 Multivariate Choropleth Symbolization]] : [[CTO.aml|5.2 Monochrome Bivariate Choropleth Symbolization]] : [[CTV.aml|5.2 Monochrome Bivariate Choropleth Symbolization]] : [[CV.aml|5.1 Monovariate Choropleth Symbolization]] ;D : [[DD.aml|8.1 Monovariate Dot Density Symbolization]] : [[DDBL.aml|8.2 Monochrome Bivariate Dot Density Symbolization]] : [[DDH.aml|8.3 Color Bivariate Dot Density Symbolization]] : [[DDHI.aml|8.3 Color Bivariate Dot Density Symbolization]] : DDL.aml: [[8.1 Monovariate Dot Density Symbolization]], [[8.4 Multivariate Dot Density Symbolization]] : [[DDRGB.aml|8.4 Multivariate Dot Density Symbolization]] : [[DDV.aml|8.2 Monochrome Bivariate Dot Density Symbolization]] ;E : [[EEL.aml|5.3 Color Bivariate Choropleth Symbolization]] : EYTON.aml: [[2.2 Classifying Data]], [[3.3 Color Bivariate Point Symbolization]], [[4.3 Color Bivariate Line Symbolization]], [[5.3 Color Bivariate Choropleth Symbolization]] ;G : [[GC.aml|6.1 Monovariate Graduated Symbolization]] : [[GCH.aml|6.3 Color Bivariate Graduated Symbolization]] : [[GCHI.aml|6.4 Multivariate Graduated Symbolization]] : [[GCL.aml|6.3 Color Bivariate Graduated Symbolization]] : [[GCV.aml|6.2 Monochrome Bivariate Graduated Symbolization]] : [[GENERALIZE|1.5 The Methods of Visual Communication]] : [[GG.aml|6.1 Monovariate Graduated Symbolization]] : [[GGH.aml|6.3 Color Bivariate Graduated Symbolization]] : [[GGHI.aml|6.4 Multivariate Graduated Symbolization]] : [[GGL.aml|6.3 Color Bivariate Graduated Symbolization]] : [[GGV.aml|6.2 Monochrome Bivariate Graduated Symbolization]] : [[GP.aml|6.4 Multivariate Graduated Symbolization]] : [[GPL.aml|6.4 Multivariate Graduated Symbolization]] : GRID: [[2.2 Classifying Data]], [[7. Grid Symbolization]], [[8. Dot Density Symbolization]], [[10. Thematic Mapping]] : GRIDLUT.aml: [[7. Grid Symbolization]], [[7.1 Monovariate Grid Symbolization]], [[7.2 Multivariate Grid Symbolization]] ;H : [[HPGL2|1.4 The Means of Visual Communication]] ;I : [[IDW|7. Grid Symbolization]] : [[INFO|2.2 Classifying Data]], [[3. Point Symbolization]], [[5.1 Monovariate Choropleth Symbolization]] ;J : [[JENKS.aml|2.2 Classifying Data]] ;L : [[LABELMARKERS|2.2 Classifying Data]] : [[LBL.aml|4.3 Color Bivariate Line Symbolization]] : [[LCC.aml|4.3 Color Bivariate Line Symbolization]] : [[LDH.aml|4.3 Color Bivariate Line Symbolization]] : [[LEE.aml|4.3 Color Bivariate Line Symbolization]] : [[LH.aml|4.1 Monovariate Line Symbolization]] : [[LHI.aml|4.3 Color Bivariate Line Symbolization]] : [[LHIZ.aml|4.4 Multivariate Line Symbolization]] : [[LHSZ.aml|4.4 Multivariate Line Symbolization]] : [[LHZ.aml|4.3 Color Bivariate Line Symbolization]] : [[LINEINTERVAL|4.1 Monovariate Line Symbolization]] : [[LINESET|4.1 Monovariate Line Symbolization]] : [[LINESIZE|4.1 Monovariate Line Symbolization]] : [[LINESYMBOL|4.1 Monovariate Line Symbolization]] : LINETEMPLATE: [[4.1 Monovariate Line Symbolization]], [[4.2 Monochrome Bivariate Line Symbolization]] : LINETYPE: [[4.1 Monovariate Line Symbolization]], [[4.2 Monochrome Bivariate Line Symbolization]] : [[LRGB.aml|4.4 Multivariate Line Symbolization]] : [[LS.aml|4.1 Monovariate Line Symbolization]] : [[LSH.aml|4.3 Color Bivariate Line Symbolization]] : [[LST.aml|4.2 Monochrome Bivariate Line Symbolization]] : [[LSV.aml|4.2 Monochrome Bivariate Line Symbolization]] : [[LSZ.aml|4.2 Monochrome Bivariate Line Symbolization]] : [[LSZV.aml|4.2 Monochrome Bivariate Line Symbolization]] : [[LV.aml|4.1 Monovariate Line Symbolization]] : [[LVZ.aml|4.2 Monochrome Bivariate Line Symbolization]] : [[LZ.aml|4.1 Monovariate Line Symbolization]] ;M : [[MARKERANGLE|3.1 Monovariate Point Symbolization]] : [[MARKERCOLOR|3.1 Monovariate Point Symbolization]] : [[MARKERSET|3.1 Monovariate Point Symbolization]] : [[MARKERSIZE|3.1 Monovariate Point Symbolization]] : [[MDELETE|2.2 Classifying Data]] ;O : [[OL.aml|5.1 Monovariate Choropleth Symbolization]] ;P : [[PAO.aml|3.1 Monovariate Point Symbolization]] : [[PB.aml|3.1 Monovariate Point Symbolization]] : [[PBL.aml|3.3 Color Bivariate Point Symbolization]] : [[PC.aml|3.1 Monovariate Point Symbolization]] : [[PCC.aml|3.3 Color Bivariate Point Symbolization]] : [[PCH.aml|3.3 Color Bivariate Point Symbolization]] : [[PCV.aml|3.2 Monochrome Bivariate Point Symbolization]] : [[PDH.aml|3.3 Color Bivariate Point Symbolization]] : [[PEE.aml|3.3 Color Bivariate Point Symbolization]] : [[PH.aml|3.1 Monovariate Point Symbolization]] : [[PHI.aml|3.3 Color Bivariate Point Symbolization]] : [[PHIZ.aml|3.4 Multivariate Point Symbolization]] : POINTMARKERS: [[2.2 Classifying Data]], [[3.1 Monovariate Point Symbolization]] : POINTSPOT: [[3.1 Monovariate Point Symbolization]], [[3.4 Multivariate Point Symbolization]] : [[POLYCONT.aml|9. Isopleth Symbolization]] : [[POLYDOT.aml|8. Dot Density Symbolization]] : POLYGONSHADES: [[2.2 Classifying Data]], [[5.1 Monovariate Choropleth Symbolization]] : POLYGONSPOT: [[6. Graduated Symbols]], [[6.1 Monovariate Graduated Symbolization]] : [[POLYGRID.aml|7. Grid Symbolization]] : [[POLYTIN.aml|9. Isopleth Symbolization]] : [[PP.aml|3.4 Multivariate Point Symbolization]] : [[PRGB.aml|3.4 Multivariate Point Symbolization]] : [[PROJECT|2.2 Classifying Data]] : [[PS.aml|3.1 Monovariate Point Symbolization]] : [[PSH.aml|3.3 Color Bivariate Point Symbolization]] : [[PSO.aml|3.2 Monochrome Bivariate Point Symbolization]] : [[PSV.aml|3.2 Monochrome Bivariate Point Symbolization]] : [[PSZ.aml|3.2 Monochrome Bivariate Point Symbolization]] : [[PSZV.aml|3.4 Multivariate Point Symbolization]] : [[PULLITEM|2.2 Classifying Data]] : [[PV.aml|3.1 Monovariate Point Symbolization]] : [[PZ.aml|3.1 Monovariate Point Symbolization]] ;R : [[RESELECT|2.2 Classifying Data]] : [[RGBL.aml|5.4 Multivariate Choropleth Symbolization]] : [[RH.aml|7.1 Monovariate Grid Symbolization]] : [[RHI.aml|7.2 Multivariate Grid Symbolization]] : [[RRGB.aml|7.2 Multivariate Grid Symbolization]] : [[RV.aml|7.1 Monovariate Grid Symbolization]] ;S : SETAUTO.aml: [[2.2 Classifying Data]], [[3.3 Color Bivariate Point Symbolization]], [[8.1 Monovariate Dot Density Symbolization]] : SETMAN.aml: [[2.2 Classifying Data]], [[3.2 Monochrome Bivariate Point Symbolization]], [[7. Grid Symbolization]], [[7.1 Monovariate Grid Symbolization]], [[7.2 Multivariate Grid Symbolization]] : [[SETUNCL.aml|2.2 Classifying Data]] : [[SF.aml|9.1 Monovariate Isopleth Symbolization]] : [[SFH.aml|9.2 Monochrome Bivariate Isopleth Symbolization]] : [[SFHI.aml|9.3 Color Bivariate Isopleth Symbolization]] : [[SFL.aml|9.1 Monovariate Isopleth Symbolization]] : [[SFRGB.aml|9.4 Multivariate Isopleth Symbolization]] : [[SFV.aml|9.2 Monochrome Bivariate Isopleth Symbolization]] : SHADEANGLE: [[5.1 Monovariate Choropleth Symbolization]], [[5.2 Monochrome Bivariate Choropleth Symbolization]] : SHADECOLOR: [[5.1 Monovariate Choropleth Symbolization]], [[5.3 Color Bivariate Choropleth Symbolization]], [[6.2 Monochrome Bivariate Graduated Symbolization]] : SHADESEPARATION: [[5.2 Monochrome Bivariate Choropleth Symbolization]], [[8.1 Monovariate Dot Density Symbolization]] : SHADETYPE: [[5.1 Monovariate Choropleth Symbolization]], [[5.2 Monochrome Bivariate Choropleth Symbolization]] : [[SISO.aml|9.1 Monovariate Isopleth Symbolization]] : [[SPLINE|7. Grid Symbolization]] : SPOTSIZE: [[3.1 Monovariate Point Symbolization]], [[6. Graduated Symbols]], [[6.1 Monovariate Graduated Symbolization]] : [[STATISTICS|2.2 Classifying Data]] ;T : TIN: [[8. Dot Density Symbolization]], [[9. Isopleth Symbolization]], [[10. Thematic Mapping]] : [[TREND|7. Grid Symbolization]] ;U : [[UNION|1.2 Metadata and Uncertainty]]
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