How to use distance method in differencify
Best JavaScript code snippet using differencify
build_attribute_graph_from_wpt_without_distances.js
Source:build_attribute_graph_from_wpt_without_distances.js 
1/*2{3 common_name: [<concept>,...],4 descriptions: [{text:<text>, source_name:<source>, source_URL:<URL>, source_updated_at:<date or null>}, ...]5 edges: {6 <connected concept>: {7 descriptors: [8 {relationship_category:<category>, relationship_subcategory:<subcategory>, snippet:<custom snippet or empty string>, source_name:<source_name>, source_URL:<URL>, distance:<distance>, added_at:<date>, updated_at:<date>, source_updated_at:<date or null>},9 ...10 ],11 distance: <minimum of above distances>,12 added_at: <date>,13 updated_at: <date>14 },15 ...16 },17 prominence: <distance (based on number of inlinks or such)>,18 aliases: [ <alias>, .... ],19 web_sites: {crunchbase: <URL>, home_page:<URL>, twitter: <URL>, ...},20 locations: [{latitude: <latitude>, longitude: <longitude>, ...],21 added_at: <date>,22 last_updates: {<source_name>:<date>, ...}23} 24 */25var ATTRIBUTE_RULES = {26 "infobox actor": {27 "occupation": {28 "reverse_distance": 60,29 "subcategory": "OCCUPATION",30 "category": "PERSON",31 "template": "[[T]] worked as a [[X]]",32 "distance": 2033 },34 "domestic_partner": {35 "reverse_distance": 10,36 "subcategory": "PARTNER",37 "category": "GENEOLOGICAL",38 "template": "[[T]] lives with [[X]]",39 "distance": 1040 },41 "birthplace": {42 "reverse_distance": 70,43 "subcategory": "BIRTH",44 "category": "PERSON",45 "template": "[[T]] was born in [[X]]",46 "distance": 2047 },48 "spouse": {49 "reverse_distance": 10,50 "subcategory": "SPOUSE",51 "category": "GENEOLOGICAL",52 "template": "[[T]] and [[X]] are married",53 "distance": 1054 }55 },56 "infobox film": {57 "studio": {58 "reverse_distance": 30,59 "subcategory": "LOCATION",60 "category": "FILM",61 "template": "[[T]] was filmed in [[X]]",62 "distance": 1063 },64 "writer": {65 "reverse_distance": 10,66 "subcategory": "WRITER",67 "category": "FILM",68 "template": "[[X]] wrote [[T]]",69 "distance": 1070 },71 "director": {72 "reverse_distance": 10,73 "subcategory": "DIRECTOR",74 "category": "FILM",75 "template": "[[X]] directed [[T]]",76 "distance": 1077 },78 "editing": {79 "reverse_distance": 10,80 "subcategory": "EDITOR",81 "category": "FILM",82 "template": "[[X]] edited [[T]]",83 "distance": 1084 },85 "cinematography": {86 "reverse_distance": 10,87 "subcategory": "CINEMATOGRAPHER",88 "category": "FILM",89 "template": "[[X]] did the cinematography for [[T]]",90 "distance": 1091 },92 "music": {93 "reverse_distance": 10,94 "subcategory": "COMPOSER",95 "category": "FILM",96 "template": "[[X]] composed the music for [[T]]",97 "distance": 1098 },99 "starring": {100 "reverse_distance": 10,101 "subcategory": "STAR",102 "category": "FILM",103 "template": "[[X]] appeared in [[T]]",104 "distance": 10105 },106 "distributor": {107 "reverse_distance": 30,108 "subcategory": "DISTRIBUTOR",109 "category": "FILM",110 "template": "[[T]] was distributed by [[X]]",111 "distance": 30112 },113 "producer": {114 "reverse_distance": 10,115 "subcategory": "PRODUCER",116 "category": "FILM",117 "template": "[[X]] produced [[T]]",118 "distance": 10119 }120 },121 "infobox single": {122 "artist": {123 "reverse_distance": 10,124 "subcategory": "ARTIST",125 "category": "MUSIC",126 "template": "[[T]] is a single by [[X]]",127 "distance": 10128 },129 "writer": {130 "reverse_distance": 10,131 "subcategory": "LYRICIST",132 "category": "MUSIC",133 "template": "[[X]] wrote [[T]]",134 "distance": 30135 },136 "format": {137 "reverse_distance": 60,138 "subcategory": "FORMAT",139 "category": "MUSIC",140 "template": "[[T]] was released in [[X]] format",141 "distance": 30142 },143 "genre": {144 "reverse_distance": 70,145 "subcategory": "GENRE",146 "category": "MUSIC",147 "template": "[[T]] is in the genre of [[X]]",148 "distance": 20149 },150 "from album": {151 "reverse_distance": 10,152 "subcategory": "ALBUM",153 "category": "MUSIC",154 "template": "[[T]] is a single from the album [[X]]",155 "distance": 10156 },157 "label": {158 "reverse_distance": 50,159 "subcategory": "LABEL",160 "category": "MUSIC",161 "template": "[[T]] was released by [[X]]",162 "distance": 30163 }164 },165 "infobox broadcast": {166 "city": {167 "reverse_distance": 60,168 "subcategory": "LOCATION",169 "category": "BROADCAST MEDIA",170 "template": "[[T]] broadcasts in [[X]]",171 "distance": 50172 },173 "affiliations": {174 "reverse_distance": 50,175 "subcategory": "AFFILIATION",176 "category": "BROADCAST MEDIA",177 "template": "[[T]] is affiliated with [[X]]",178 "distance": 30179 },180 "licensee": {181 "reverse_distance": 40,182 "category": "BROADCAST MEDIA",183 "template": "[[X]] licenses [[T]]",184 "distance": 30185 },186 "sister_stations": {187 "reverse_distance": 40,188 "subcategory": "AFFILIATION",189 "category": "BROADCAST MEDIA",190 "template": "[[T]] is a twin station of [[X]]",191 "distance": 40192 },193 "owner": {194 "reverse_distance": 40,195 "subcategory": "INVESTMENT",196 "category": "BUSINESS",197 "template": "[[X]] owns [[T]]",198 "distance": 10199 },200 "former_affiliations": {201 "reverse_distance": 30,202 "subcategory": "AFFILIATION",203 "category": "BROADCAST MEDIA",204 "template": "[[X]] was affiliated with [[T]]",205 "distance": 30206 },207 "location": {208 "reverse_distance": 60,209 "subcategory": "LOCATION",210 "category": "BROADCAST MEDIA",211 "template": "[[T]]'s studio is located in [[X]]",212 "distance": 50213 }214 },215 "infobox website": {216 "author": {217 "reverse_distance": 10,218 "subcategory": "CREATOR",219 "category": "WEB",220 "template": "[[X]] created [[T]]",221 "distance": 10222 },223 "owner": {224 "reverse_distance": 30,225 "subcategory": "INVESTMENT",226 "category": "BUSINESS",227 "template": "[[X]] operates [[T]]",228 "distance": 30229 }230 },231 "infobox software": {232 "author": {233 "reverse_distance": 25,234 "subcategory": "DEVELOPER",235 "category": "TECHNOLOGY",236 "template": "[[X]] wrote [[y]]",237 "distance": 10238 },239 "developer": {240 "reverse_distance": 25,241 "subcategory": "DEVELOPER",242 "category": "TECHNOLOGY",243 "template": "[[X]] developed [[T]]",244 "distance": 10245 }246 },247 "infobox television": {248 "director": {249 "reverse_distance": 10,250 "subcategory": "DIRECTOR",251 "category": "BROADCAST MEDIA",252 "template": "[[T]] was directed by [[X]]",253 "distance": 10254 },255 "writer": {256 "reverse_distance": 10,257 "subcategory": "WRITER",258 "category": "BROADCAST MEDIA",259 "template": "[[T]] was written by [[X]]",260 "distance": 10261 },262 "creator": {263 "reverse_distance": 10,264 "subcategory": "CREATOR",265 "category": "BROADCAST MEDIA",266 "template": "[[T]] was created by [[X]]",267 "distance": 10268 },269 "opentheme": {270 "reverse_distance": 10,271 "subcategory": "MUSIC",272 "category": "BROADCAST MEDIA",273 "template": "[[T]]'s opening theme was [[X]]",274 "distance": 10275 },276 "narrated": {277 "reverse_distance": 10,278 "subcategory": "VOICE",279 "category": "BROADCAST MEDIA",280 "template": "[[T]] was narrated by [[X]]",281 "distance": 10282 },283 "voices": {284 "reverse_distance": 20,285 "subcategory": "VOICE",286 "category": "BROADCAST MEDIA",287 "template": "[[X]] was a voice on [[T]]",288 "distance": 20289 },290 "starring": {291 "reverse_distance": 10,292 "subcategory": "STAR",293 "category": "BROADCAST MEDIA",294 "template": "[[T]] starred [[X]]",295 "distance": 10296 },297 "endtheme": {298 "reverse_distance": 10,299 "subcategory": "MUSIC",300 "category": "BROADCAST MEDIA",301 "template": "[[T]]'s ending theme was [[X]]",302 "distance": 10303 },304 "channel": {305 "reverse_distance": 70,306 "subcategory": "CHANNEL",307 "category": "BROADCAST MEDIA",308 "template": "[[T]] was shown on [[X]]",309 "distance": 30310 },311 "genre": {312 "reverse_distance": 60,313 "subcategory": "GENRE",314 "category": "BROADCAST MEDIA",315 "template": "[[T]] belongs to the genre [[X]]",316 "distance": 20317 },318 "theme_music_composer": {319 "reverse_distance": 20,320 "subcategory": "MUSICIAN",321 "category": "BROADCAST MEDIA",322 "template": "[[T]]'s theme music was composed by [[X]]",323 "distance": 20324 },325 "location": {326 "reverse_distance": 70,327 "subcategory": "LOCATION",328 "category": "BROADCAST MEDIA",329 "template": "[[T]] was shot in [[X]]",330 "distance": 40331 },332 "judges": {333 "reverse_distance": 20,334 "subcategory": "STAR",335 "category": "BROADCAST MEDIA",336 "template": "[[X]] was a judge on [[T]]",337 "distance": 20338 }339 },340 "infobox newspaper": {341 "newseditor": {342 "reverse_distance": 10,343 "subcategory": "EDITOR",344 "category": "PRINT MEDIA",345 "template": "[[X]] is the news editor of [[T]]",346 "distance": 10347 },348 "chiefeditor": {349 "reverse_distance": 10,350 "subcategory": "EDITOR",351 "category": "PRINT MEDIA",352 "template": "[[X]] is the chief editor of [[T]]",353 "distance": 10354 },355 "sportseditor": {356 "reverse_distance": 10,357 "subcategory": "EDITOR",358 "category": "PRINT MEDIA",359 "template": "[[X]] is the sports editor of [[T]]",360 "distance": 10361 },362 "campuseditor": {363 "reverse_distance": 10,364 "subcategory": "EDITOR",365 "category": "PRINT MEDIA",366 "template": "[[X]] is the campus editor of [[T]]",367 "distance": 10368 },369 "photoeditor": {370 "reverse_distance": 10,371 "subcategory": "EDITOR",372 "category": "PRINT MEDIA",373 "template": "[[X]] is the photo editor of [[T]]",374 "distance": 10375 },376 "assoceditor": {377 "reverse_distance": 10,378 "subcategory": "EDITOR",379 "category": "PRINT MEDIA",380 "template": "[[X]] is the associate editor of [[T]]",381 "distance": 10382 },383 "sister newspapers": {384 "reverse_distance": 40,385 "subcategory": "RELATED",386 "category": "PRINT MEDIA",387 "template": "[[T]] and [[X]] are sister newspapers",388 "distance": 40389 },390 "staff": {391 "reverse_distance": 10,392 "subcategory": "WRITER",393 "category": "PRINT MEDIA",394 "template": "[[X]] is a writer at [[T]]",395 "distance": 10396 },397 "founder": {398 "reverse_distance": 10,399 "subcategory": "EMPLOYEE",400 "category": "BUSINESS",401 "template": "[[X]] founded [[T]]",402 "distance": 10403 },404 "campuschief": {405 "reverse_distance": 10,406 "subcategory": "EDITOR",407 "category": "PRINT MEDIA",408 "template": "[[X]] is the campus chief of [[T]]",409 "distance": 10410 },411 "managingeditordesign": {412 "reverse_distance": 10,413 "subcategory": "EDITOR",414 "category": "PRINT MEDIA",415 "template": "[[X]] is the managing design editor of [[T]]",416 "distance": 10417 },418 "editor": {419 "reverse_distance": 10,420 "subcategory": "EDITOR",421 "category": "PRINT MEDIA",422 "template": "[[X]] is the editor of [[T]]",423 "distance": 10424 },425 "publisher": {426 "reverse_distance": 10,427 "subcategory": "PUBLISHER",428 "category": "PRINT MEDIA",429 "template": "[[X]] is the publisher of [[T]]",430 "distance": 10431 },432 "opeditor": {433 "reverse_distance": 10,434 "subcategory": "EDITOR",435 "category": "PRINT MEDIA",436 "template": "[[X]] is the opinion editor of [[T]]",437 "distance": 10438 },439 "maneditor": {440 "reverse_distance": 10,441 "subcategory": "EDITOR",442 "category": "PRINT MEDIA",443 "template": "[[X]] is the managing editor of [[T]]",444 "distance": 10445 },446 "headquarters": {447 "reverse_distance": 50,448 "subcategory": "LOCATION",449 "category": "BUSINESS",450 "template": "[[T]]'s headquarters is in [[X]]",451 "distance": 50452 },453 "owner": {454 "reverse_distance": 20,455 "subcategory": "INVESTMENT",456 "category": "BUSINESS",457 "template": "[[X]] owns [[T]]",458 "distance": 20459 }460 },461 "infobox musical artist": {462 "occupation": {463 "reverse_distance": 70,464 "subcategory": "OCCUPATION",465 "category": "PERSON",466 "template": "[[T]] worked as a [[X]]",467 "distance": 30468 },469 "instrument": {470 "reverse_distance": 50,471 "subcategory": "PERSONAL_INSTRUMENT",472 "category": "MUSIC",473 "template": "[[T]] makes music with their [[X]]",474 "distance": 10475 },476 "past_members": {477 "reverse_distance": 10,478 "subcategory": "BAND_MEMBER",479 "category": "MUSIC",480 "template": "[[X]] was a member of [[T]]",481 "distance": 10482 },483 "notable_instruments": {484 "reverse_distance": 60,485 "subcategory": "PERSONAL_INSTRUMENT",486 "category": "MUSIC",487 "template": "[[T]] makes music with their [[X]]",488 "distance": 20489 },490 "associated_acts": {491 "reverse_distance": 50,492 "subcategory": "COLLABORATOR",493 "category": "MUSIC",494 "template": "[[T]] collaborated with [[X]]",495 "distance": 50496 },497 "origin": {498 "reverse_distance": 60,499 "subcategory": "BIRTH",500 "category": "PERSON",501 "template": "[[T]] was born in [[X]]",502 "distance": 10503 },504 "genre": {505 "reverse_distance": 60,506 "subcategory": "GENRE",507 "category": "MUSIC",508 "template": "[[T]]'s music belongs to the genre [[X]]",509 "distance": 30510 },511 "current_members": {512 "reverse_distance": 10,513 "subcategory": "BAND_MEMBER",514 "category": "MUSIC",515 "template": "[[X]] is a member of [[T]]",516 "distance": 10517 },518 "label": {519 "reverse_distance": 30,520 "subcategory": "LABEL",521 "category": "MUSIC",522 "template": "[[T]] was signed by [[X]]",523 "distance": 20524 },525 "spouse": {526 "reverse_distance": 10,527 "subcategory": "SPOUSE",528 "category": "GENEALOGICAL",529 "template": "[[T]] and [[X]] are married",530 "distance": 10531 }532 },533 "infobox television episode": {534 "director": {535 "reverse_distance": 20,536 "subcategory": "DIRECTOR",537 "category": "BROADCAST MEDIA",538 "template": "[[X]] directed [[T]]",539 "distance": 10540 },541 "writer": {542 "reverse_distance": 10,543 "subcategory": "WRITER",544 "category": "BROADCAST MEDIA",545 "template": "[[X]] wrote [[T]]",546 "distance": 10547 },548 "music": {549 "reverse_distance": 20,550 "subcategory": "MUSICIAN",551 "category": "BROADCAST MEDIA",552 "template": "[[X]] wrote the music for [[T]]",553 "distance": 20554 },555 "series": {556 "reverse_distance": 10,557 "subcategory": "SERIES",558 "category": "BROADCAST MEDIA",559 "template": "[[T]] was an episode of [[X]]",560 "distance": 10561 },562 "editor": {563 "reverse_distance": 10,564 "subcategory": "EDITOR",565 "category": "BROADCAST MEDIA",566 "template": "[[X]] edited [[T]]",567 "distance": 20568 },569 "producer": {570 "reverse_distance": 40,571 "subcategory": "PRODUCER",572 "category": "BROADCAST MEDIA",573 "template": "[[X]] produced [[T]]",574 "distance": 40575 },576 "photographer": {577 "reverse_distance": 10,578 "subcategory": "CREW",579 "category": "BROADCAST MEDIA",580 "template": "[[X]] was the director of photography for [[T]]",581 "distance": 30582 },583 "guests": {584 "reverse_distance": 50,585 "subcategory": "ACTOR",586 "category": "BROADCAST MEDIA",587 "template": "[[X]] made a guest appearance on [[T]]",588 "distance": 50589 }590 },591 "infobox magazine": {592 "company": {593 "reverse_distance": 40,594 "subcategory": "PUBLISHER",595 "category": "PRINT MEDIA",596 "template": "[[X]] publishes [[T]]",597 "distance": 40598 },599 "staff_writer": {600 "reverse_distance": 50,601 "subcategory": "WRITER",602 "category": "PRINT MEDIA",603 "template": "[[X]] writes for [[T]]",604 "distance": 20605 },606 "based": {607 "reverse_distance": 70,608 "subcategory": "LOCATION",609 "category": "PRINT MEDIA",610 "template": "[[T]] is based in [[X]]",611 "distance": 50612 },613 "previous_editor": {614 "reverse_distance": 10,615 "subcategory": "EDITOR",616 "category": "PRINT MEDIA",617 "template": "[[X]] was the editor of [[T]]",618 "distance": 10619 },620 "publisher": {621 "reverse_distance": 40,622 "subcategory": "PUBLISHER",623 "category": "PRINT MEDIA",624 "template": "[[T]] publishes [[X]]",625 "distance": 40626 },627 "editor": {628 "reverse_distance": 10,629 "subcategory": "EDITOR",630 "category": "PRINT MEDIA",631 "template": "[[X]] is the editor of [[T]]",632 "distance": 10633 }634 },635 "infobox book": {636 "author": {637 "reverse_distance": 10,638 "subcategory": "AUTHOR",639 "category": "LITERATURE",640 "template": "[[X]] wrote [[T]]",641 "distance": 10642 },643 "genre": {644 "reverse_distance": 60,645 "subcategory": "GENRE",646 "category": "LITERATURE",647 "template": "[[T]] belongs to the genre [[X]]",648 "distance": 50649 }650 },651 "infobox album": {652 "artist": {653 "reverse_distance": 10,654 "subcategory": "ARTIST",655 "category": "MUSIC",656 "template": "[[X]] recorded [[T]]",657 "distance": 10658 },659 "next album": {660 "reverse_distance": 40,661 "subcategory": "RELATED_ALBUM",662 "category": "MUSIC",663 "template": "[[X]] was the group's next album after [[T]]",664 "distance": 40665 },666 "last album": {667 "reverse_distance": 40,668 "subcategory": "RELATED_ALBUM",669 "category": "MUSIC",670 "template": "[[X]] was the group's last album before [[T]]",671 "distance": 40672 },673 "recorded": {674 "reverse_distance": 60,675 "subcategory": "RECORDING_YEAR",676 "category": "MUSIC",677 "template": "[[T]] was recorded during [[X]]",678 "distance": 20679 },680 "producer": {681 "reverse_distance": 50,682 "subcategory": "PRODUCER",683 "category": "MUSIC",684 "template": "[[X]] produced [[T]]",685 "distance": 40686 },687 "genre": {688 "reverse_distance": 70,689 "subcategory": "GENRE",690 "category": "MUSIC",691 "template": "[[T]] belongs to the genre [[X]]",692 "distance": 30693 },694 "released": {695 "reverse_distance": 60,696 "subcategory": "RELEASE_DATE",697 "category": "MUSIC",698 "template": "[[T]] was released on [[X]]",699 "distance": 20700 },701 "label": {702 "reverse_distance": 50,703 "subcategory": "LABEL",704 "category": "MUSIC",705 "template": "[[X]] released [[T]]",706 "distance": 30707 }708 },709 "infobox president": {710 "birth_place": {711 "reverse_distance": 50,712 "subcategory": "BIRTH",713 "category": "PERSON",714 "template": "[[T]] was born in [[X]]",715 "distance": 40716 },717 "occupation": {718 "reverse_distance": 80,719 "subcategory": "OCCUPATION",720 "category": "PERSON",721 "template": "[[T]] worked as a [[X]]",722 "distance": 30723 },724 "religion": {725 "reverse_distance": 70,726 "subcategory": "RELIGION",727 "category": "PERSON",728 "template": ["[[T]] is [[X]]", {r: "(ity)|(ism)|(lam)$", t: "[[T]]'s religion is [[X]]"}],729 "distance": 20730 },731 "spouse": {732 "reverse_distance": 10,733 "subcategory": "SPOUSE",734 "category": "GENEALOGICAL",735 "template": "[[T]] and [[X]] are married",736 "distance": 10737 }738 }739};740function page_is_ambiguous(title,page_json) {741 if (title.match(/\(disambiguation\)$/)) {742 return true;743 }744 for(var i=0, il=page_json.length; i < il; ++i) {745 var elem = page_json[i];746 if (typeof(elem) != 'string' && elem.type == 'template') {747 if (elem.title == 'disambig' || elem.title == 'disambiguation') {748 return true;749 }750 }751 }752 return false;753}754source_name = 'Wikipedia';755/* Lowercase and remove underscores to normalize template names */756function keyify(template_title) {757 return template_title.toLowerCase().replace("_"," ");758}759/* Do a replacement on the snippet */760function snippet_substitute(template,t,x) {761 if (typeof(template) != 'string') {762 var i;763 for (i=template.length-1; i > 0; --i) {764 var r = new RegExp(template[i].r);765 if (r.test(x)) {766 template = template[i].t;767 break;768 }769 }770 if (i == 0) {771 template = template[0];772 }773 }774 var res = template.replace("[[T]]",'[['+t+']]').replace("[[X]]",'[['+x+']]');775 if (!res.match(/[\.\?!]$/)) { res += '.'; }776 return res;777}778function do_top_level_field(in_value, out_hash, out_field) {779 if (in_value) {780 if (typeof(in_value) != 'string') {781 in_value = String(in_value);782 }783 if (in_value.match(/\S/)) {784 //out_hash[out_field] = clean_string(in_value);785 out_hash[out_field] = in_value;786 }787 }788}789/*790 * If a page is a redirect we want to emit an alias type791 */792function handle_redirect(key,redirect, output) {793 if (redirect.target) {794 Meguro.emit(redirect.target,JSON.stringify({'alias':key}));795 }796}797/*798 * Pull all of the internal links out of the param value of an infobox799 */800function pull_internal_links_out_of_param_value(param_val) {801 var internal_links = [];802 if (param_val.type == 'internal_link') {803 internal_links.push(param_val.target);804 } else {805 for(var i=0; i < param_val.length; i++) {806 var sec = param_val[i];807 if (sec.type == 'internal_link') {808 internal_links.push(sec.target);809 }810 }811 }812 return internal_links;813}814/*815 * Here we want to look through all the attributes of the Infobox and make816 * edges based on those817 */818function handle_template(key,template) {819 if (template.title) {820 var template_key = keyify(template.title);821 var rules = ATTRIBUTE_RULES[template_key];822 if (rules) {823 var params = template.parameters;824 for (var param_name in params) {825 var rule = rules[param_name];826 if (rule) {827 var param_val = params[param_name];828 var internal_links = pull_internal_links_out_of_param_value(param_val);829 if (internal_links.length > 0) {830 var snippet = snippet_substitute(rule.template,key,internal_links[0]);831 emit_relation(key, internal_links[0], rule.category, rule.subcategory, snippet, rule.distance, rule.reverse_distance);832 }833 }834 }835 }836 }837}838function emit_relation(key, target, category, subcategory, snippet, distance, reverse_distance) {839 var ed = new Object();840 ed.name = target;841 ed.relationship_category = category;842 ed.relationship_subcategory = subcategory;843 ed.snippet = snippet;844 ed.distance = distance;845 ed.source_name = 'Wikipedia';846 ed.source_URL = 'http://en.wikipedia.org/wiki/'+encodeURIComponent(key);847 Meguro.emit(key,JSON.stringify({"relation":ed}));848 // Now make the reverse edge849 var reverse_key = ed.name;850 ed.name = key;851 ed.distance = reverse_distance;852 Meguro.emit(reverse_key,JSON.stringify({"relation":ed}));853}854/*855 * Iterate through the elemnts looking for links and if the anchor text or the856 * target matches the cleaned title, then we emit an alias for that target857 * pointing to the title.858 */859function handle_ambiguous_page(title,json) {860 var title_name = (title.charAt(0)=='(' ? title : title.replace(/\s*\(.+\)/,''));861 for(var i=0, len = json.length; i < len; ++i) {862 var elem = json[i];863 if (typeof(elem) != 'string' && elem.type == 'internal_link') {864 if ((elem.anchor_text && elem.anchor_text.indexOf(title) >= 0) || elem.target.indexOf(title) >= 0) {865 Meguro.emit(elem.target,JSON.stringify({'alias':title_name}));866 } 867 }868 }869}870function map(key,value) {871 if (key.match(/^Wikipedia:/)) { return; }872 var json = JSON.parse(value);873 if (!json) { return; }874 if (page_is_ambiguous(key,json)) {875 handle_ambiguous_page(key,json);876 return;877 }878 var output = {};879 var outlinks = [];880 var paragraph_so_far = '';881 var targets_in_sentence = [];882 var prev_sentence_end = -1;883 for(var i=0, il=json.length; i < il; ++i) {884 if (typeof(json[i]) == 'string') {885 var str = json[i];886 // first see if a sentence ender in here and do targets in that sentence (only if not too long already)887 if (targets_in_sentence && targets_in_sentence.length > 0) {888 if (paragraph_so_far.charAt(0) != ':' && paragraph_so_far.charAt(0) != '*') {889 var sentence_ending_arr = str.match(/^[^\n]*?[a-z\]][a-z\]]\./);890 if (sentence_ending_arr) {891 var snippet = paragraph_so_far + sentence_ending_arr[0];892 var commas_in_sentence = snippet.substr(prev_sentence_end+1).match(/[,;]/g);893 if (!commas_in_sentence || commas_in_sentence.length <= 4) { // not weird run-on sentence894 for (var j=0, jl=targets_in_sentence.length; j < jl; ++j) {895 emit_relation(key, targets_in_sentence[j], 'UNCLASSIFIED', 'UNCLASSIFIED', snippet, -1, -1);896 }897 targets_in_sentence = [];898 prev_sentence_end = snippet.lastIndexOf('.');899 }900 else { // give up on this paragraph901 targets_in_sentence = null;902 }903 }904 } else {905 targets_in_sentence = null;906 }907 }908 var ind = str.indexOf("\n");909 if (ind >= 0) { //finished paragraph910 if (ind > 0 || paragraph_so_far.length > 0) { // don't want to take just a single stray newline before we've got real text911 paragraph_so_far += str.substr(0, ind);912 if (!output.descriptions) { // means first paragraph913 output.descriptions = [];914 output.descriptions[0] = {};915 do_top_level_field(paragraph_so_far.replace(/\s?\([^\(\)]*\)/g,''), output.descriptions[0], 'text');916 do_top_level_field(source_name, output.descriptions[0], 'source_name');917 do_top_level_field('http://en.wikipedia.org/wiki/'+encodeURIComponent(key), output.descriptions[0], 'source_URL');918 }919 targets_in_sentence = [];920 var nline = str.lastIndexOf("\n");921 if (nline < 0) {922 nline = ind;923 }924 paragraph_so_far = str.substr(nline+1).replace(/^[\n\s]+/,'');925 prev_sentence_end = paragraph_so_far.lastIndexOf('.');926 } 927 } else {928 paragraph_so_far += str;929 }930 } else {931 switch (json[i].type) {932 case 'template':933 handle_template(key,json[i]);934 break;935 case 'redirect':936 handle_redirect(key,json[i], output);937 break;938 case 'internal_link':939 var link = json[i];940 if (targets_in_sentence) {941 targets_in_sentence.push(link.target);942 }943 if (link.anchor_text) {944 paragraph_so_far += '[['+link.target+'|'+link.anchor_text+']]';945 } else {946 paragraph_so_far += '[['+link.target+']]';947 }948 var saw_this_outlink = 0;949 for (var j=0, jl=outlinks.length; j < jl; ++j) {950 if (outlinks[j] == link.target) {951 saw_this_outlink = 1;952 break;953 }954 }955 if (!saw_this_outlink) {956 outlinks.push(link.target);957 //X Meguro.emit(link.target, JSON.stringify({inl:key}));958 }959 break;960 }961 }962 }963 if (output.descriptions) { //this isn't just a redirect964 do_top_level_field((key.charAt(0)=='(' ? key : key.replace(/\s*\(.+\)/,'')), output, 'common_name');965 Meguro.emit(key,JSON.stringify({about:output})); //Meguro.emit(key,JSON.stringify({about:output}, {outl:outlinks}));966 }967}968// ---------------------------------------------969// -------- R e d u c e r ----------------------970// ---------------------------------------------971/*972 * Make a final graph entry based on the different emitted values973 */974function reduce(key,values) {975 var is_not_just_alias = false;976 var output = {};977 // first go through array and figure out a hash of common inlink counts, also checking here that this is not an alias entry978 var outlinks_of_inlinks_counts = {};979 var inlinks_count = 1; // because count self as linking to self980 for (var i = 0, il=values.length; i < il; ++i) {981 if (values[i] == '') { continue; }982 var v = JSON.parse(values[i]);983 if (v.about) {984 v = v.about;985 for (var k in v) {986 output[k] = v[k];987 }988 is_not_just_alias = true;989 } else if (v.inl) {990 inlinks_count += 1;991 var dv = Meguro.dictionary(v.inl);992 if (!dv) { Meguro.log("no outlinks for "+v.inl); exit; }993 var outlinks_of_link = JSON.parse(dv); 994 for (var j = 0, jl=outlinks_of_link.length; j < jl; ++j) {995 var n = outlinks_of_link[j]; //a page linked to from a page that also links to key996 if (n != key) {997 outlinks_of_inlinks_counts[n] = (outlinks_of_inlinks_counts.hasOwnProperty(n) ? outlinks_of_inlinks_counts[n]+1 : 1);998 }999 }1000 }1001 }1002 if (!is_not_just_alias) {1003 return;1004 }1005 // also look at things this page itself links to1006 /*1007 var outlinks = Meguro.dictionary(key);1008 if (!outlinks) {1009 Meguro.log("No outlinks for "+key);1010 exit;1011 }1012 outlinks = JSON.parse(outlinks);1013 for (var i = 0, il=outlinks.length; i < il; ++i) {1014 var n = outlinks[i];1015 outlinks_of_inlinks_counts[n] = (outlinks_of_inlinks_counts.hasOwnProperty(n) ? outlinks_of_inlinks_counts[n]+1 : 1);1016 }1017 */1018 // now go through again and actually consider "about" information, edges, etc.1019 var output_edges = {};1020ITER:1021 for (var i = 0, il=values.length; i < il; ++i) {1022 if (values[i] == '') { continue; }1023 var v = JSON.parse(values[i]);1024 if (v.alias) {1025 if (!output.aliases) {1026 output.aliases = [v.alias];1027 } else {1028 if (output.aliases.indexOf(v.alias) < 0) {1029 output.aliases.push(v.alias);1030 }1031 }1032 } else if (v.relation) {1033 v = v.relation;1034 /*1035 if (v.distance < 0) {1036 v.distance = Math.round(245*(1-outlinks_of_inlinks_counts[v.name]/inlinks_count)) + 10;1037 }1038 */1039 var edge = null;1040 var desc_ind = null;1041 if (output_edges.hasOwnProperty(v.name)) {1042 edge = output_edges[v.name];1043 for (var j=0, jl=edge.descriptors.length; j < jl; ++j) {1044 var d = edge.descriptors[j];1045 if (d.relationship_category == v.relationship_category && d.relationship_subcategory == v.relationship_subcategory) {1046 if (d.relationship_category == 'UNCLASSIFIED') { // in-text1047 edge.descriptors[j].snippet = choose_snippet(d.snippet, v.snippet, v.name, key);1048 continue ITER;1049 }1050 if (d.distance <= v.distance) {1051 continue ITER; //already have descriptor worth keeping about this1052 }1053 desc_ind = j;1054 }1055 break;1056 }1057 if (desc_ind == null) { // no matching descriptor1058 desc_ind = edge.descriptors.length;1059 edge.descriptors.push({});1060 }1061 if (edge.distance > v.distance) {1062 edge.distance = v.distance;1063 }1064 } else { // new edge1065 edge = {"descriptors":[{}], "distance":v.distance};1066 output_edges[v.name] = edge;1067 desc_ind = 0;1068 }1069 for (var k in v) { 1070 if (k != 'name') {1071 edge.descriptors[desc_ind][k] = v[k];1072 }1073 }1074 } else if (!v.inl && !v.about) {1075 Meguro.log("Why unknown in reduce: "+v);1076 exit;1077 }1078 }1079 output.edges = output_edges;1080 var now = new Date();1081 output.last_updates = {};1082 output.last_updates[source_name] = now.toGMTString();1083 Meguro.save(key, JSON.stringify(output));1084}1085/* Given multiple snippets, choose the best one according to the shorter one that (ideally) mentions both concepts. */1086function choose_snippet(snippet1, snippet2, key1, key2) {1087 var key_a = convert_to_query(key1);1088 var pat1 = new RegExp(key_a, 'i');1089 key_a = convert_to_query(key2);1090 var pat2 = new RegExp(key_a, 'i');1091 var snippets = undefined;1092 if (snippet1.length < snippet2.length) {1093 snippets = [snippet1, snippet2];1094 } else {1095 snippets = [snippet2, snippet1];1096 }1097 /* first see if any of snippets contains both names */1098 for (var i = 0, il=snippets.length; i < il; ++i) {1099 var s = snippets[i];1100 if ((rel_match(s, key1) || s.match(pat1)) && (rel_match(s, key2) || s.match(pat2))) {1101 return snippets[i];1102 }1103 }1104 return snippets[0];1105}1106function rel_match(where, what) {1107 return (where.indexOf("[["+what+"|")>=0 || where.indexOf("[["+what+"]")>=0);1108}1109function convert_to_query(word) {1110 /* first, see if this might be a name (by seeing if 1-3 words in the "word" that are all capitalized... */1111 var parts = word.split(/\s+/);1112 var nparts = parts.length;1113 if (nparts > 1 && nparts < 5) {1114 var noncapital = 0;1115 for (var i = 0; i < nparts; ++i) {1116 if (!parts[i].match(/^[A-Z]/)) {1117 noncapital = 1;1118 break;1119 }1120 }1121 // if so, just look at last part1122 if (!noncapital && parts[nparts-1].length > 2) {1123 if (word.match(/\.$/)) {1124 word = parts[nparts-2].replace(/[,:;!]$/,'');1125 }1126 else if (parts.length > 3) {1127 word = parts[0]+' '+parts[1];1128 }1129 else if (parts[nparts-1] == 'University' || parts[nparts-1] == 'College') {1130 parts.pop();1131 word = parts.join(' ');1132 }1133 else {1134 word = parts[nparts-1];1135 }1136 }1137 }1138 return word.toLowerCase();...
reward_test.py
Source:reward_test.py
...27 self.assertEqual(1, reward.mod_abs_diff(15, 4, 5))28 def testAbsoluteDistance_AbsDiffMethod(self):29 self.assertEqual(30 4,31 reward.absolute_distance([0], [4], 5, scalar_diff_fn=reward.abs_diff))32 self.assertEqual(33 0,34 reward.absolute_distance([4], [4], 5, scalar_diff_fn=reward.abs_diff))35 self.assertEqual(36 0,37 reward.absolute_distance([], [], 5, scalar_diff_fn=reward.abs_diff))38 self.assertEqual(39 5,40 reward.absolute_distance([1], [], 5, scalar_diff_fn=reward.abs_diff))41 self.assertEqual(42 5,43 reward.absolute_distance([], [1], 5, scalar_diff_fn=reward.abs_diff))44 self.assertEqual(45 0,46 reward.absolute_distance([1, 2, 3], [1, 2, 3], 5,47 scalar_diff_fn=reward.abs_diff))48 self.assertEqual(49 1,50 reward.absolute_distance([1, 2, 4], [1, 2, 3], 5,51 scalar_diff_fn=reward.abs_diff))52 self.assertEqual(53 1,54 reward.absolute_distance([1, 2, 2], [1, 2, 3], 5,55 scalar_diff_fn=reward.abs_diff))56 self.assertEqual(57 5,58 reward.absolute_distance([1, 2], [1, 2, 3], 5,59 scalar_diff_fn=reward.abs_diff))60 self.assertEqual(61 5,62 reward.absolute_distance([1, 2, 3, 4], [1, 2, 3], 5,63 scalar_diff_fn=reward.abs_diff))64 self.assertEqual(65 6,66 reward.absolute_distance([4, 4, 4], [1, 2, 3], 5,67 scalar_diff_fn=reward.abs_diff))68 def testAbsoluteDistance_ModDiffMethod(self):69 self.assertEqual(70 1,71 reward.absolute_distance([0], [4], 5,72 scalar_diff_fn=reward.mod_abs_diff))73 self.assertEqual(74 0,75 reward.absolute_distance([4], [4], 5,76 scalar_diff_fn=reward.mod_abs_diff))77 self.assertEqual(78 0,79 reward.absolute_distance([], [], 5,80 scalar_diff_fn=reward.mod_abs_diff))81 self.assertEqual(82 5,83 reward.absolute_distance([1], [], 5,84 scalar_diff_fn=reward.mod_abs_diff))85 self.assertEqual(86 5,87 reward.absolute_distance([], [1], 5,88 scalar_diff_fn=reward.mod_abs_diff))89 self.assertEqual(90 0,91 reward.absolute_distance([1, 2, 3], [1, 2, 3], 5,92 scalar_diff_fn=reward.mod_abs_diff))93 self.assertEqual(94 1,95 reward.absolute_distance([1, 2, 4], [1, 2, 3], 5,96 scalar_diff_fn=reward.mod_abs_diff))97 self.assertEqual(98 1,99 reward.absolute_distance([1, 2, 2], [1, 2, 3], 5,100 scalar_diff_fn=reward.mod_abs_diff))101 self.assertEqual(102 5,103 reward.absolute_distance([1, 2], [1, 2, 3], 5,104 scalar_diff_fn=reward.mod_abs_diff))105 self.assertEqual(106 5,107 reward.absolute_distance([1, 2, 3, 4], [1, 2, 3], 5,108 scalar_diff_fn=reward.mod_abs_diff))109 self.assertEqual(110 5,111 reward.absolute_distance([4, 4, 4], [1, 2, 3], 5,112 scalar_diff_fn=reward.mod_abs_diff))113 def testLogAbsoluteDistance(self):114 def log_diff(diff, base):115 return log(diff + 1) / log(base // 2 + 2)116 self.assertEqual(117 log_diff(1, 5),118 reward.log_absolute_distance([0], [4], 5))119 self.assertEqual(120 log_diff(2, 5),121 reward.log_absolute_distance([1], [4], 5))122 self.assertEqual(123 log_diff(2, 5),124 reward.log_absolute_distance([2], [4], 5))125 self.assertEqual(126 log_diff(1, 5),127 reward.log_absolute_distance([3], [4], 5))128 self.assertEqual(129 log_diff(3, 5), # max_dist = base // 2 + 1 = 3130 reward.log_absolute_distance([], [4], 5))131 self.assertEqual(132 0 + log_diff(3, 5), # max_dist = base // 2 + 1 = 3133 reward.log_absolute_distance([4, 4], [4], 5))134 self.assertEqual(135 0,136 reward.log_absolute_distance([4], [4], 5))137 self.assertEqual(138 0,139 reward.log_absolute_distance([], [], 5))140 self.assertEqual(141 1,142 reward.log_absolute_distance([1], [], 5))143 self.assertEqual(144 1,145 reward.log_absolute_distance([], [1], 5))146 self.assertEqual(147 0,148 reward.log_absolute_distance([1, 2, 3], [1, 2, 3], 5))149 self.assertEqual(150 log_diff(1, 5) / 3, # divided by target length.151 reward.log_absolute_distance([1, 2, 4], [1, 2, 3], 5))152 self.assertEqual(153 log_diff(1, 5) / 3,154 reward.log_absolute_distance([1, 2, 2], [1, 2, 3], 5))155 self.assertEqual(156 log_diff(3, 5) / 3, # max_dist157 reward.log_absolute_distance([1, 2], [1, 2, 3], 5))158 self.assertEqual(159 log_diff(3, 5) / 3, # max_dist160 reward.log_absolute_distance([1, 2, 3, 4], [1, 2, 3], 5))161 # Add log differences for each position.162 self.assertEqual(163 (log_diff(2, 5) + log_diff(2, 5) + log_diff(1, 5)) / 3,164 reward.log_absolute_distance([4, 4, 4], [1, 2, 3], 5))165 def testAbsoluteDistanceReward(self):166 self.assertEqual(167 1,168 reward.absolute_distance_reward([1, 2, 3], [1, 2, 3], 5))169 self.assertEqual(170 1 - 1 / (5 * 3.), # 1 - distance / (base * target_len)171 reward.absolute_distance_reward([1, 2, 4], [1, 2, 3], 5))172 self.assertEqual(173 1 - 1 / (5 * 3.),174 reward.absolute_distance_reward([1, 2, 2], [1, 2, 3], 5))175 self.assertTrue(np.isclose(176 1 - 5 / (5 * 3.),177 reward.absolute_distance_reward([1, 2], [1, 2, 3], 5)))178 self.assertTrue(np.isclose(...
DistanceOp.js
Source:DistanceOp.js
...146 if (arguments[2] instanceof Array && (arguments[0] instanceof LineString && arguments[1] instanceof Point)) {147 const line = arguments[0]148 const pt = arguments[1]149 const locGeom = arguments[2]150 if (line.getEnvelopeInternal().distance(pt.getEnvelopeInternal()) > this._minDistance) return null151 const coord0 = line.getCoordinates()152 const coord = pt.getCoordinate()153 for (let i = 0; i < coord0.length - 1; i++) {154 const dist = CGAlgorithms.distancePointLine(coord, coord0[i], coord0[i + 1])155 if (dist < this._minDistance) {156 this._minDistance = dist157 const seg = new LineSegment(coord0[i], coord0[i + 1])158 const segClosestPoint = seg.closestPoint(coord)159 locGeom[0] = new GeometryLocation(line, i, segClosestPoint)160 locGeom[1] = new GeometryLocation(pt, 0, coord)161 }162 if (this._minDistance <= this._terminateDistance) return null163 }164 } else if (arguments[2] instanceof Array && (arguments[0] instanceof LineString && arguments[1] instanceof LineString)) {165 const line0 = arguments[0]166 const line1 = arguments[1]167 const locGeom = arguments[2]168 if (line0.getEnvelopeInternal().distance(line1.getEnvelopeInternal()) > this._minDistance) return null169 const coord0 = line0.getCoordinates()170 const coord1 = line1.getCoordinates()171 for (let i = 0; i < coord0.length - 1; i++) {172 for (let j = 0; j < coord1.length - 1; j++) {173 const dist = CGAlgorithms.distanceLineLine(coord0[i], coord0[i + 1], coord1[j], coord1[j + 1])174 if (dist < this._minDistance) {175 this._minDistance = dist176 const seg0 = new LineSegment(coord0[i], coord0[i + 1])177 const seg1 = new LineSegment(coord1[j], coord1[j + 1])178 const closestPt = seg0.closestPoints(seg1)179 locGeom[0] = new GeometryLocation(line0, i, closestPt[0])180 locGeom[1] = new GeometryLocation(line1, j, closestPt[1])181 }182 if (this._minDistance <= this._terminateDistance) return null183 }184 }185 }186 }187 }188 computeMinDistancePoints (points0, points1, locGeom) {189 for (let i = 0; i < points0.size(); i++) {190 const pt0 = points0.get(i)191 for (let j = 0; j < points1.size(); j++) {192 const pt1 = points1.get(j)193 const dist = pt0.getCoordinate().distance(pt1.getCoordinate())194 if (dist < this._minDistance) {195 this._minDistance = dist196 locGeom[0] = new GeometryLocation(pt0, 0, pt0.getCoordinate())197 locGeom[1] = new GeometryLocation(pt1, 0, pt1.getCoordinate())198 }199 if (this._minDistance <= this._terminateDistance) return null200 }201 }202 }203 distance () {204 if (this._geom[0] === null || this._geom[1] === null) throw new IllegalArgumentException('null geometries are not supported')205 if (this._geom[0].isEmpty() || this._geom[1].isEmpty()) return 0.0206 this.computeMinDistance()207 return this._minDistance208 }209 computeMinDistanceLines (lines0, lines1, locGeom) {210 for (let i = 0; i < lines0.size(); i++) {211 const line0 = lines0.get(i)212 for (let j = 0; j < lines1.size(); j++) {213 const line1 = lines1.get(j)214 this.computeMinDistance(line0, line1, locGeom)215 if (this._minDistance <= this._terminateDistance) return null216 }217 }218 }219 interfaces_ () {220 return []221 }222 getClass () {223 return DistanceOp224 }225 static distance (g0, g1) {226 const distOp = new DistanceOp(g0, g1)227 return distOp.distance()228 }229 static isWithinDistance (g0, g1, distance) {230 const distOp = new DistanceOp(g0, g1, distance)231 return distOp.distance() <= distance232 }233 static nearestPoints (g0, g1) {234 const distOp = new DistanceOp(g0, g1)235 return distOp.nearestPoints()236 }...
dtw.js
Source:dtw.js
...99 state.m,100 state.n,101 Number.POSITIVE_INFINITY102 );103 distanceCostMatrix[0][0] = state.distance(s[0], t[0]);104 for (var rowIndex = 1; rowIndex < state.m; rowIndex++) {105 var cost = state.distance(s[rowIndex], t[0]);106 distanceCostMatrix[rowIndex][0] =107 cost + distanceCostMatrix[rowIndex - 1][0];108 }109 for (var columnIndex = 1; columnIndex < state.n; columnIndex++) {110 var cost = state.distance(s[0], t[columnIndex]);111 distanceCostMatrix[0][columnIndex] =112 cost + distanceCostMatrix[0][columnIndex - 1];113 }114 for (var rowIndex = 1; rowIndex < state.m; rowIndex++) {115 for (var columnIndex = 1; columnIndex < state.n; columnIndex++) {116 var cost = state.distance(s[rowIndex], t[columnIndex]);117 distanceCostMatrix[rowIndex][columnIndex] =118 cost +119 Math.min(120 distanceCostMatrix[rowIndex - 1][columnIndex],121 distanceCostMatrix[rowIndex][columnIndex - 1],122 distanceCostMatrix[rowIndex - 1][columnIndex - 1]123 );124 }125 }126 const end = new Date().getTime();127 const time = end - start;128 debug("< computeOptimalPath (" + time + " ms)");129 state.distanceCostMatrix = distanceCostMatrix;130 state.similarity = distanceCostMatrix[state.m - 1][state.n - 1];131 return state.similarity;132}133function computeOptimalPathWithWindow(s, t, w, state) {134 debug("> computeOptimalPathWithWindow");135 validateComputeParameters(s, t);136 const start = new Date().getTime();137 state.m = s.length;138 state.n = t.length;139 const window = Math.max(w, Math.abs(s.length - t.length));140 let distanceCostMatrix = matrix.create(141 state.m + 1,142 state.n + 1,143 Number.POSITIVE_INFINITY144 );145 distanceCostMatrix[0][0] = 0;146 for (let rowIndex = 1; rowIndex <= state.m; rowIndex++) {147 for (148 let columnIndex = Math.max(1, rowIndex - window);149 columnIndex <= Math.min(state.n, rowIndex + window);150 columnIndex++151 ) {152 const cost = state.distance(s[rowIndex - 1], t[columnIndex - 1]);153 distanceCostMatrix[rowIndex][columnIndex] =154 cost +155 Math.min(156 distanceCostMatrix[rowIndex - 1][columnIndex],157 distanceCostMatrix[rowIndex][columnIndex - 1],158 distanceCostMatrix[rowIndex - 1][columnIndex - 1]159 );160 }161 }162 const end = new Date().getTime();163 const time = end - start;164 debug("< computeOptimalPathWithWindow (" + time + " ms)");165 distanceCostMatrix.shift();166 distanceCostMatrix = distanceCostMatrix.map((row) => {...
Spiralcell_minicaster.py
Source:Spiralcell_minicaster.py
1#Define variables2printvel_left = 4 #printvel3printvel_right = 4 #printvel 4printvel_fill = 4 #printvel 5tipsize = 0.200 #tipsize; mm 6layerheight = 0.8*tipsize #stepheight; mm 7layers = 1 #layers8COM = 4 #air-line 9pressure_left= 70 #air-pressure,psi 10pressure_right= 70 #air-pressure,psi 11pressure_fill= 70 #air-pressure,psi 12leadin = 3 #leadinx; mm 13edge = 5 #outer-wall-side-length; mm 14spacing = 0.05 #middle-wall-side-length; mm 15def spiral_left(edge, tipsize, spacing):16 #starts from middle left17 g.set_home(x=0,y=0,Z=0)18 g.feed(printvel_left)19 g.move(x=-leadin)20 g.set_pressure(COM, pressure_left)21 g.toggle_pressure(COM)22 g.dwell(3)23 g.move(x=leadin)24 25 g.move(y=edge/2-tipsize/2) #from halfway to starting corner26 distance = edge-tipsize*2-spacing27 g.move(x=distance) #1st horizontal line28 g.move(y=-distance) #1st vertical line29 while distance >= 3*tipsize:30 31 distance = distance-tipsize*2-spacing*232 33 g.move(x=-distance)34 g.move(y=distance)35 36 if distance >= 3*tipsize:37 distance = distance-tipsize*2-spacing*238 39 g.move(x=distance)40 g.move(y=-distance)41 42 g.toggle_pressure(COM)43 g.dwell(5)44 g.move(Z=3)45def spiral_right(edge, tipsize, spacing):46 #starts from middle right47 g.set_home(x=0,y=0,Z=0)48 g.feed(printvel_right)49 g.move(x=leadin)50 g.set_pressure(COM, pressure_right)51 g.toggle_pressure(COM)52 g.dwell(3)53 g.move(x=-leadin)54 55 g.move(y=-(edge/2-tipsize/2)) #from halfway to starting corner56 distance = edge-tipsize*2-spacing57 g.move(x=-distance) #1st horizontal line58 g.move(y=distance) #1st vertical line59 while distance >= 3*tipsize:60 61 distance = distance-tipsize*2-spacing*262 63 g.move(x=distance)64 g.move(y=-distance)65 66 if distance >= 3*tipsize:67 distance = distance-tipsize*2-spacing*268 69 g.move(x=-distance)70 g.move(y=distance)71 g.toggle_pressure(COM)72 g.dwell(5)73 g.move(Z=3)74 75def spiral_fill(edge, tipsize, spacing):76 g.set_home(x=0,y=0,Z=0)77 g.feed(printvel_fill)78 79 for i in range (int(tipsize/spacing)+1):80 #starts from middle left, under spiral left's start81 g.abs_move(x=0,y=0)82 g.move(x=-(leadin+tipsize/2+spacing/2)) 83 g.set_pressure(COM, pressure_fill)84 g.toggle_pressure(COM)85 g.dwell(3)86 g.move(x=leadin+tipsize/2+spacing/2)87 88 g.move(y=edge/2-tipsize/2) #from halfway to starting corner89 distance = edge-tipsize*3-spacing*290 g.move(x=distance) #1st horizontal line91 g.move(y=-distance) #1st vertical line92 while distance >= 3*tipsize:93 94 distance = distance-tipsize*2-spacing*295 96 g.move(x=-distance)97 g.move(y=distance)98 99 if distance >= 3*tipsize:100 distance = distance-tipsize*2-spacing*2101 102 g.move(x=distance)103 g.move(y=-distance)104 105 g.toggle_pressure(COM)106 g.dwell(5)107 g.move(Z=3)108 109 g.abs_move(x=edge-tipsize*2-spacing)110 g.move(Z=-3)111 112 #starts from middle right, under spiral left's start113 g.move(x=(leadin+tipsize/2+spacing/2)) 114 g.set_pressure(COM, pressure_fill)115 g.toggle_pressure(COM)116 g.dwell(3)117 g.move(x=-(leadin+tipsize/2+spacing/2))118 119 g.move(y=-(edge/2-tipsize/2)) #from halfway to starting corner120 distance = edge-tipsize*3-spacing*2121 g.move(x=-distance) #1st horizontal line122 g.move(y=distance) #1st vertical line123 while distance >= 3*tipsize:124 125 distance = distance-tipsize*2-spacing*2126 127 g.move(x=distance)128 g.move(y=-distance)129 130 if distance >= 3*tipsize:131 distance = distance-tipsize*2-spacing*2132 133 g.move(x=-distance)134 g.move(y=distance)135 g.toggle_pressure(COM)136 g.dwell(5)137 g.move(Z=spacing)138 g.move(Z=3)139 140 141from mecode import G142g = G(143 outfile = "/Users/SeanWei/Documents/Python/PrintCode/spiralcell/Spiralcell_left.txt",144 header = "/Users/SeanWei/Documents/Python/PrintCode/header_minicaster.txt",145 footer = "/Users/SeanWei/Documents/Python/PrintCode/footer_minicaster.txt",146 aerotech_include = False,147 direct_write = False,148 print_lines = True, 149 )150spiral_left(edge, tipsize, spacing)151from mecode import G152g = G(153 outfile = "/Users/SeanWei/Documents/Python/PrintCode/spiralcell/Spiralcell_right.txt",154 header = "/Users/SeanWei/Documents/Python/PrintCode/header_minicaster.txt",155 footer = "/Users/SeanWei/Documents/Python/PrintCode/footer_minicaster.txt",156 aerotech_include = False,157 direct_write = False,158 print_lines = True, 159 )160spiral_right(edge, tipsize, spacing)161from mecode import G162g = G(163 outfile = "/Users/SeanWei/Documents/Python/PrintCode/spiralcell/Spiralcell_fill.txt",164 header = "/Users/SeanWei/Documents/Python/PrintCode/header_minicaster.txt",165 footer = "/Users/SeanWei/Documents/Python/PrintCode/footer_minicaster.txt",166 aerotech_include = False,167 direct_write = False,168 print_lines = True, 169 )170spiral_fill(edge, tipsize, spacing)171#To end172g.view(backend='matplotlib')173#g.view()...
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Using AI Code Generation
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Using AI Code Generation
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Using AI Code Generation
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Using AI Code Generation
1var differencify = require('differencify');2var differencify = differencify({3});4differencify.distance(function (err, result) {5 console.log(result);6});7{8 "scripts": {9 },10 "dependencies": {11 }12}13{ isSameDimensions: true,14 dimensionDifference: { width: 0, height: 0 },
Using AI Code Generation
1var differencify = require('differencify');2var diff = new differencify();3diff.distance('test/fixtures/test1.png', 'test/fixtures/test2.png', function(err, data){4 if(err) throw err;5 console.log(data);6});7{ distance: 0.0001,8 dimensionDifference: { width: 0, height: 0 },9 getBuffer: [Function] }10var differencify = require('differencify');11var diff = new differencify();12diff.distance('test/fixtures/test1.png', 'test/fixtures/test2.png', function(err, data){13 if(err) throw err;14 data.getBuffer(function(err, buffer){15 if(err) throw err;16 console.log(buffer);17 });18});
Using AI Code Generation
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