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{
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" document.documentElement.classList.add('dark');\n",
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" document.documentElement.classList.remove('dark');\n",
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Is it in a supported JavaScript type (String, Blob, ArrayBuffer, etc) ?"))})}},{"./base64":1,"./external":6,"./nodejsUtils":14,"./support":30,setimmediate:54}],33:[function(t,e,n){"use strict";var r=t("./reader/readerFor"),s=t("./utils"),i=t("./signature"),o=t("./zipEntry"),u=t("./support");function p(b){this.files=[],this.loadOptions=b}p.prototype={checkSignature:function(b){if(!this.reader.readAndCheckSignature(b)){this.reader.index-=4;var g=this.reader.readString(4);throw new Error("Corrupted zip or bug: unexpected signature ("+s.pretty(g)+", expected "+s.pretty(b)+")")}},isSignature:function(b,g){var m=this.reader.index;this.reader.setIndex(b);var C=this.reader.readString(4)===g;return this.reader.setIndex(m),C},readBlockEndOfCentral:function(){this.diskNumber=this.reader.readInt(2),this.diskWithCentralDirStart=this.reader.readInt(2),this.centralDirRecordsOnThisDisk=this.reader.readInt(2),this.centralDirRecords=this.reader.readInt(2),this.centralDirSize=this.reader.readInt(4),this.centralDirOffset=this.reader.readInt(4),this.zipCommentLength=this.reader.readInt(2);var b=this.reader.readData(this.zipCommentLength),g=u.uint8array?"uint8array":"array",m=s.transformTo(g,b);this.zipComment=this.loadOptions.decodeFileName(m)},readBlockZip64EndOfCentral:function(){this.zip64EndOfCentralSize=this.reader.readInt(8),this.reader.skip(4),this.diskNumber=this.reader.readInt(4),this.diskWithCentralDirStart=this.reader.readInt(4),this.centralDirRecordsOnThisDisk=this.reader.readInt(8),this.centralDirRecords=this.reader.readInt(8),this.centralDirSize=this.reader.readInt(8),this.centralDirOffset=this.reader.readInt(8),this.zip64ExtensibleData={};for(var b,g,m,C=this.zip64EndOfCentralSize-44;0<C;)b=this.reader.readInt(2),g=this.reader.readInt(4),m=this.reader.readData(g),this.zip64ExtensibleData[b]={id:b,length:g,value:m}},readBlockZip64EndOfCentralLocator:function(){if(this.diskWithZip64CentralDirStart=this.reader.readInt(4),this.relativeOffsetEndOfZip64CentralDir=this.reader.readInt(8),this.disksCount=this.reader.readInt(4),1<this.disksCount)throw new Error("Multi-volumes zip are not supported")},readLocalFiles:function(){var b,g;for(b=0;b<this.files.length;b++)g=this.files[b],this.reader.setIndex(g.localHeaderOffset),this.checkSignature(i.LOCAL_FILE_HEADER),g.readLocalPart(this.reader),g.handleUTF8(),g.processAttributes()},readCentralDir:function(){var b;for(this.reader.setIndex(this.centralDirOffset);this.reader.readAndCheckSignature(i.CENTRAL_FILE_HEADER);)(b=new o({zip64:this.zip64},this.loadOptions)).readCentralPart(this.reader),this.files.push(b);if(this.centralDirRecords!==this.files.length&&this.centralDirRecords!==0&&this.files.length===0)throw new Error("Corrupted zip or bug: expected "+this.centralDirRecords+" records in central dir, got "+this.files.length)},readEndOfCentral:function(){var b=this.reader.lastIndexOfSignature(i.CENTRAL_DIRECTORY_END);if(b<0)throw this.isSignature(0,i.LOCAL_FILE_HEADER)?new Error("Corrupted zip: can't find end of central directory"):new Error("Can't find end of central directory : is this a zip file ? If it is, see https://stuk.github.io/jszip/documentation/howto/read_zip.html");this.reader.setIndex(b);var g=b;if(this.checkSignature(i.CENTRAL_DIRECTORY_END),this.readBlockEndOfCentral(),this.diskNumber===s.MAX_VALUE_16BITS||this.diskWithCentralDirStart===s.MAX_VALUE_16BITS||this.centralDirRecordsOnThisDisk===s.MAX_VALUE_16BITS||this.centralDirRecords===s.MAX_VALUE_16BITS||this.centralDirSize===s.MAX_VALUE_32BITS||this.centralDirOffset===s.MAX_VALUE_32BITS){if(this.zip64=!0,(b=this.reader.lastIndexOfSignature(i.ZIP64_CENTRAL_DIRECTORY_LOCATOR))<0)throw new Error("Corrupted zip: can't find the ZIP64 end of central directory locator");if(this.reader.setIndex(b),this.checkSignature(i.ZIP64_CENTRAL_DIRECTORY_LOCATOR),this.readBlockZip64EndOfCentralLocator(),!this.isSignature(this.relativeOffsetEndOfZip64CentralDir,i.ZIP64_CENTRAL_DIRECTORY_END)&&(this.relativeOffsetEndOfZip64CentralDir=this.reader.lastIndexOfSignature(i.ZIP64_CENTRAL_DIRECTORY_END),this.relativeOffsetEndOfZip64CentralDir<0))throw new Error("Corrupted zip: can't find the ZIP64 end of central directory");this.reader.setIndex(this.relativeOffsetEndOfZip64CentralDir),this.checkSignature(i.ZIP64_CENTRAL_DIRECTORY_END),this.readBlockZip64EndOfCentral()}var m=this.centralDirOffset+this.centralDirSize;this.zip64&&(m+=20,m+=12+this.zip64EndOfCentralSize);var C=g-m;if(0<C)this.isSignature(g,i.CENTRAL_FILE_HEADER)||(this.reader.zero=C);else if(C<0)throw new Error("Corrupted zip: missing "+Math.abs(C)+" bytes.")},prepareReader:function(b){this.reader=r(b)},load:function(b){this.prepareReader(b),this.readEndOfCentral(),this.readCentralDir(),this.readLocalFiles()}},e.exports=p},{"./reader/readerFor":22,"./signature":23,"./support":30,"./utils":32,"./zipEntry":34}],34:[function(t,e,n){"use strict";var r=t("./reader/readerFor"),s=t("./utils"),i=t("./compressedObject"),o=t("./crc32"),u=t("./utf8"),p=t("./compressions"),b=t("./support");function g(m,C){this.options=m,this.loadOptions=C}g.prototype={isEncrypted:function(){return(1&this.bitFlag)==1},useUTF8:function(){return(2048&this.bitFlag)==2048},readLocalPart:function(m){var C,y;if(m.skip(22),this.fileNameLength=m.readInt(2),y=m.readInt(2),this.fileName=m.readData(this.fileNameLength),m.skip(y),this.compressedSize===-1||this.uncompressedSize===-1)throw new Error("Bug or corrupted zip : didn't get enough information from the central directory (compressedSize === -1 || uncompressedSize === -1)");if((C=function(T){for(var P in p)if(Object.prototype.hasOwnProperty.call(p,P)&&p[P].magic===T)return p[P];return null}(this.compressionMethod))===null)throw new Error("Corrupted zip : compression "+s.pretty(this.compressionMethod)+" unknown (inner file : "+s.transformTo("string",this.fileName)+")");this.decompressed=new i(this.compressedSize,this.uncompressedSize,this.crc32,C,m.readData(this.compressedSize))},readCentralPart:function(m){this.versionMadeBy=m.readInt(2),m.skip(2),this.bitFlag=m.readInt(2),this.compressionMethod=m.readString(2),this.date=m.readDate(),this.crc32=m.readInt(4),this.compressedSize=m.readInt(4),this.uncompressedSize=m.readInt(4);var C=m.readInt(2);if(this.extraFieldsLength=m.readInt(2),this.fileCommentLength=m.readInt(2),this.diskNumberStart=m.readInt(2),this.internalFileAttributes=m.readInt(2),this.externalFileAttributes=m.readInt(4),this.localHeaderOffset=m.readInt(4),this.isEncrypted())throw new Error("Encrypted zip are not supported");m.skip(C),this.readExtraFields(m),this.parseZIP64ExtraField(m),this.fileComment=m.readData(this.fileCommentLength)},processAttributes:function(){this.unixPermissions=null,this.dosPermissions=null;var m=this.versionMadeBy>>8;this.dir=!!(16&this.externalFileAttributes),m==0&&(this.dosPermissions=63&this.externalFileAttributes),m==3&&(this.unixPermissions=this.externalFileAttributes>>16&65535),this.dir||this.fileNameStr.slice(-1)!=="/"||(this.dir=!0)},parseZIP64ExtraField:function(){if(this.extraFields[1]){var m=r(this.extraFields[1].value);this.uncompressedSize===s.MAX_VALUE_32BITS&&(this.uncompressedSize=m.readInt(8)),this.compressedSize===s.MAX_VALUE_32BITS&&(this.compressedSize=m.readInt(8)),this.localHeaderOffset===s.MAX_VALUE_32BITS&&(this.localHeaderOffset=m.readInt(8)),this.diskNumberStart===s.MAX_VALUE_32BITS&&(this.diskNumberStart=m.readInt(4))}},readExtraFields:function(m){var C,y,T,P=m.index+this.extraFieldsLength;for(this.extraFields||(this.extraFields={});m.index+4<P;)C=m.readInt(2),y=m.readInt(2),T=m.readData(y),this.extraFields[C]={id:C,length:y,value:T};m.setIndex(P)},handleUTF8:function(){var m=b.uint8array?"uint8array":"array";if(this.useUTF8())this.fileNameStr=u.utf8decode(this.fileName),this.fileCommentStr=u.utf8decode(this.fileComment);else{var C=this.findExtraFieldUnicodePath();if(C!==null)this.fileNameStr=C;else{var y=s.transformTo(m,this.fileName);this.fileNameStr=this.loadOptions.decodeFileName(y)}var T=this.findExtraFieldUnicodeComment();if(T!==null)this.fileCommentStr=T;else{var P=s.transformTo(m,this.fileComment);this.fileCommentStr=this.loadOptions.decodeFileName(P)}}},findExtraFieldUnicodePath:function(){var m=this.extraFields[28789];if(m){var C=r(m.value);return C.readInt(1)!==1||o(this.fileName)!==C.readInt(4)?null:u.utf8decode(C.readData(m.length-5))}return null},findExtraFieldUnicodeComment:function(){var m=this.extraFields[25461];if(m){var C=r(m.value);return C.readInt(1)!==1||o(this.fileComment)!==C.readInt(4)?null:u.utf8decode(C.readData(m.length-5))}return null}},e.exports=g},{"./compressedObject":2,"./compressions":3,"./crc32":4,"./reader/readerFor":22,"./support":30,"./utf8":31,"./utils":32}],35:[function(t,e,n){"use strict";function r(C,y,T){this.name=C,this.dir=T.dir,this.date=T.date,this.comment=T.comment,this.unixPermissions=T.unixPermissions,this.dosPermissions=T.dosPermissions,this._data=y,this._dataBinary=T.binary,this.options={compression:T.compression,compressionOptions:T.compressionOptions}}var s=t("./stream/StreamHelper"),i=t("./stream/DataWorker"),o=t("./utf8"),u=t("./compressedObject"),p=t("./stream/GenericWorker");r.prototype={internalStream:function(C){var y=null,T="string";try{if(!C)throw new Error("No output type specified.");var P=(T=C.toLowerCase())==="string"||T==="text";T!=="binarystring"&&T!=="text"||(T="string"),y=this._decompressWorker();var c=!this._dataBinary;c&&!P&&(y=y.pipe(new o.Utf8EncodeWorker)),!c&&P&&(y=y.pipe(new o.Utf8DecodeWorker))}catch(l){(y=new p("error")).error(l)}return new s(y,T,"")},async:function(C,y){return this.internalStream(C).accumulate(y)},nodeStream:function(C,y){return this.internalStream(C||"nodebuffer").toNodejsStream(y)},_compressWorker:function(C,y){if(this._data instanceof u&&this._data.compression.magic===C.magic)return this._data.getCompressedWorker();var T=this._decompressWorker();return this._dataBinary||(T=T.pipe(new o.Utf8EncodeWorker)),u.createWorkerFrom(T,C,y)},_decompressWorker:function(){return this._data instanceof u?this._data.getContentWorker():this._data instanceof p?this._data:new i(this._data)}};for(var b=["asText","asBinary","asNodeBuffer","asUint8Array","asArrayBuffer"],g=function(){throw new Error("This method has been removed in JSZip 3.0, please check the upgrade guide.")},m=0;m<b.length;m++)r.prototype[b[m]]=g;e.exports=r},{"./compressedObject":2,"./stream/DataWorker":27,"./stream/GenericWorker":28,"./stream/StreamHelper":29,"./utf8":31}],36:[function(t,e,n){(function(r){"use strict";var s,i,o=r.MutationObserver||r.WebKitMutationObserver;if(o){var u=0,p=new o(C),b=r.document.createTextNode("");p.observe(b,{characterData:!0}),s=function(){b.data=u=++u%2}}else if(r.setImmediate||r.MessageChannel===void 0)s="document"in r&&"onreadystatechange"in r.document.createElement("script")?function(){var y=r.document.createElement("script");y.onreadystatechange=function(){C(),y.onreadystatechange=null,y.parentNode.removeChild(y),y=null},r.document.documentElement.appendChild(y)}:function(){setTimeout(C,0)};else{var g=new r.MessageChannel;g.port1.onmessage=C,s=function(){g.port2.postMessage(0)}}var m=[];function C(){var y,T;i=!0;for(var P=m.length;P;){for(T=m,m=[],y=-1;++y<P;)T[y]();P=m.length}i=!1}e.exports=function(y){m.push(y)!==1||i||s()}}).call(this,typeof global<"u"?global:typeof self<"u"?self:typeof window<"u"?window:{})},{}],37:[function(t,e,n){"use strict";var r=t("immediate");function s(){}var i={},o=["REJECTED"],u=["FULFILLED"],p=["PENDING"];function b(P){if(typeof P!="function")throw new TypeError("resolver must be a function");this.state=p,this.queue=[],this.outcome=void 0,P!==s&&y(this,P)}function g(P,c,l){this.promise=P,typeof c=="function"&&(this.onFulfilled=c,this.callFulfilled=this.otherCallFulfilled),typeof l=="function"&&(this.onRejected=l,this.callRejected=this.otherCallRejected)}function m(P,c,l){r(function(){var h;try{h=c(l)}catch(_){return i.reject(P,_)}h===P?i.reject(P,new TypeError("Cannot resolve promise with itself")):i.resolve(P,h)})}function C(P){var c=P&&P.then;if(P&&(typeof P=="object"||typeof P=="function")&&typeof c=="function")return function(){c.apply(P,arguments)}}function y(P,c){var l=!1;function h(O){l||(l=!0,i.reject(P,O))}function _(O){l||(l=!0,i.resolve(P,O))}var F=T(function(){c(_,h)});F.status==="error"&&h(F.value)}function T(P,c){var l={};try{l.value=P(c),l.status="success"}catch(h){l.status="error",l.value=h}return l}(e.exports=b).prototype.finally=function(P){if(typeof P!="function")return this;var c=this.constructor;return this.then(function(l){return c.resolve(P()).then(function(){return l})},function(l){return c.resolve(P()).then(function(){throw l})})},b.prototype.catch=function(P){return this.then(null,P)},b.prototype.then=function(P,c){if(typeof P!="function"&&this.state===u||typeof c!="function"&&this.state===o)return this;var l=new this.constructor(s);return this.state!==p?m(l,this.state===u?P:c,this.outcome):this.queue.push(new g(l,P,c)),l},g.prototype.callFulfilled=function(P){i.resolve(this.promise,P)},g.prototype.otherCallFulfilled=function(P){m(this.promise,this.onFulfilled,P)},g.prototype.callRejected=function(P){i.reject(this.promise,P)},g.prototype.otherCallRejected=function(P){m(this.promise,this.onRejected,P)},i.resolve=function(P,c){var l=T(C,c);if(l.status==="error")return i.reject(P,l.value);var h=l.value;if(h)y(P,h);else{P.state=u,P.outcome=c;for(var _=-1,F=P.queue.length;++_<F;)P.queue[_].callFulfilled(c)}return P},i.reject=function(P,c){P.state=o,P.outcome=c;for(var l=-1,h=P.queue.length;++l<h;)P.queue[l].callRejected(c);return P},b.resolve=function(P){return P instanceof this?P:i.resolve(new this(s),P)},b.reject=function(P){var c=new this(s);return i.reject(c,P)},b.all=function(P){var c=this;if(Object.prototype.toString.call(P)!=="[object Array]")return this.reject(new TypeError("must be an array"));var l=P.length,h=!1;if(!l)return this.resolve([]);for(var _=new Array(l),F=0,O=-1,f=new this(s);++O<l;)U(P[O],O);return f;function U(X,Q){c.resolve(X).then(function(E){_[Q]=E,++F!==l||h||(h=!0,i.resolve(f,_))},function(E){h||(h=!0,i.reject(f,E))})}},b.race=function(P){var c=this;if(Object.prototype.toString.call(P)!=="[object Array]")return this.reject(new TypeError("must be an array"));var l=P.length,h=!1;if(!l)return this.resolve([]);for(var _=-1,F=new this(s);++_<l;)O=P[_],c.resolve(O).then(function(f){h||(h=!0,i.resolve(F,f))},function(f){h||(h=!0,i.reject(F,f))});var O;return F}},{immediate:36}],38:[function(t,e,n){"use strict";var r={};(0,t("./lib/utils/common").assign)(r,t("./lib/deflate"),t("./lib/inflate"),t("./lib/zlib/constants")),e.exports=r},{"./lib/deflate":39,"./lib/inflate":40,"./lib/utils/common":41,"./lib/zlib/constants":44}],39:[function(t,e,n){"use strict";var r=t("./zlib/deflate"),s=t("./utils/common"),i=t("./utils/strings"),o=t("./zlib/messages"),u=t("./zlib/zstream"),p=Object.prototype.toString,b=0,g=-1,m=0,C=8;function y(P){if(!(this instanceof y))return new y(P);this.options=s.assign({level:g,method:C,chunkSize:16384,windowBits:15,memLevel:8,strategy:m,to:""},P||{});var c=this.options;c.raw&&0<c.windowBits?c.windowBits=-c.windowBits:c.gzip&&0<c.windowBits&&c.windowBits<16&&(c.windowBits+=16),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new u,this.strm.avail_out=0;var l=r.deflateInit2(this.strm,c.level,c.method,c.windowBits,c.memLevel,c.strategy);if(l!==b)throw new Error(o[l]);if(c.header&&r.deflateSetHeader(this.strm,c.header),c.dictionary){var h;if(h=typeof c.dictionary=="string"?i.string2buf(c.dictionary):p.call(c.dictionary)==="[object ArrayBuffer]"?new Uint8Array(c.dictionary):c.dictionary,(l=r.deflateSetDictionary(this.strm,h))!==b)throw new Error(o[l]);this._dict_set=!0}}function T(P,c){var l=new y(c);if(l.push(P,!0),l.err)throw l.msg||o[l.err];return l.result}y.prototype.push=function(P,c){var l,h,_=this.strm,F=this.options.chunkSize;if(this.ended)return!1;h=c===~~c?c:c===!0?4:0,typeof P=="string"?_.input=i.string2buf(P):p.call(P)==="[object ArrayBuffer]"?_.input=new Uint8Array(P):_.input=P,_.next_in=0,_.avail_in=_.input.length;do{if(_.avail_out===0&&(_.output=new s.Buf8(F),_.next_out=0,_.avail_out=F),(l=r.deflate(_,h))!==1&&l!==b)return this.onEnd(l),!(this.ended=!0);_.avail_out!==0&&(_.avail_in!==0||h!==4&&h!==2)||(this.options.to==="string"?this.onData(i.buf2binstring(s.shrinkBuf(_.output,_.next_out))):this.onData(s.shrinkBuf(_.output,_.next_out)))}while((0<_.avail_in||_.avail_out===0)&&l!==1);return h===4?(l=r.deflateEnd(this.strm),this.onEnd(l),this.ended=!0,l===b):h!==2||(this.onEnd(b),!(_.avail_out=0))},y.prototype.onData=function(P){this.chunks.push(P)},y.prototype.onEnd=function(P){P===b&&(this.options.to==="string"?this.result=this.chunks.join(""):this.result=s.flattenChunks(this.chunks)),this.chunks=[],this.err=P,this.msg=this.strm.msg},n.Deflate=y,n.deflate=T,n.deflateRaw=function(P,c){return(c=c||{}).raw=!0,T(P,c)},n.gzip=function(P,c){return(c=c||{}).gzip=!0,T(P,c)}},{"./utils/common":41,"./utils/strings":42,"./zlib/deflate":46,"./zlib/messages":51,"./zlib/zstream":53}],40:[function(t,e,n){"use strict";var r=t("./zlib/inflate"),s=t("./utils/common"),i=t("./utils/strings"),o=t("./zlib/constants"),u=t("./zlib/messages"),p=t("./zlib/zstream"),b=t("./zlib/gzheader"),g=Object.prototype.toString;function m(y){if(!(this instanceof m))return new m(y);this.options=s.assign({chunkSize:16384,windowBits:0,to:""},y||{});var T=this.options;T.raw&&0<=T.windowBits&&T.windowBits<16&&(T.windowBits=-T.windowBits,T.windowBits===0&&(T.windowBits=-15)),!(0<=T.windowBits&&T.windowBits<16)||y&&y.windowBits||(T.windowBits+=32),15<T.windowBits&&T.windowBits<48&&!(15&T.windowBits)&&(T.windowBits|=15),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new p,this.strm.avail_out=0;var P=r.inflateInit2(this.strm,T.windowBits);if(P!==o.Z_OK)throw new Error(u[P]);this.header=new b,r.inflateGetHeader(this.strm,this.header)}function C(y,T){var P=new m(T);if(P.push(y,!0),P.err)throw P.msg||u[P.err];return P.result}m.prototype.push=function(y,T){var P,c,l,h,_,F,O=this.strm,f=this.options.chunkSize,U=this.options.dictionary,X=!1;if(this.ended)return!1;c=T===~~T?T:T===!0?o.Z_FINISH:o.Z_NO_FLUSH,typeof y=="string"?O.input=i.binstring2buf(y):g.call(y)==="[object ArrayBuffer]"?O.input=new Uint8Array(y):O.input=y,O.next_in=0,O.avail_in=O.input.length;do{if(O.avail_out===0&&(O.output=new 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P===o.Z_STREAM_END&&(c=o.Z_FINISH),c===o.Z_FINISH?(P=r.inflateEnd(this.strm),this.onEnd(P),this.ended=!0,P===o.Z_OK):c!==o.Z_SYNC_FLUSH||(this.onEnd(o.Z_OK),!(O.avail_out=0))},m.prototype.onData=function(y){this.chunks.push(y)},m.prototype.onEnd=function(y){y===o.Z_OK&&(this.options.to==="string"?this.result=this.chunks.join(""):this.result=s.flattenChunks(this.chunks)),this.chunks=[],this.err=y,this.msg=this.strm.msg},n.Inflate=m,n.inflate=C,n.inflateRaw=function(y,T){return(T=T||{}).raw=!0,C(y,T)},n.ungzip=C},{"./utils/common":41,"./utils/strings":42,"./zlib/constants":44,"./zlib/gzheader":47,"./zlib/inflate":49,"./zlib/messages":51,"./zlib/zstream":53}],41:[function(t,e,n){"use strict";var r=typeof Uint8Array<"u"&&typeof Uint16Array<"u"&&typeof Int32Array<"u";n.assign=function(o){for(var u=Array.prototype.slice.call(arguments,1);u.length;){var p=u.shift();if(p){if(typeof p!="object")throw new TypeError(p+"must be non-object");for(var b in p)p.hasOwnProperty(b)&&(o[b]=p[b])}}return o},n.shrinkBuf=function(o,u){return o.length===u?o:o.subarray?o.subarray(0,u):(o.length=u,o)};var s={arraySet:function(o,u,p,b,g){if(u.subarray&&o.subarray)o.set(u.subarray(p,p+b),g);else for(var m=0;m<b;m++)o[g+m]=u[p+m]},flattenChunks:function(o){var u,p,b,g,m,C;for(u=b=0,p=o.length;u<p;u++)b+=o[u].length;for(C=new Uint8Array(b),u=g=0,p=o.length;u<p;u++)m=o[u],C.set(m,g),g+=m.length;return C}},i={arraySet:function(o,u,p,b,g){for(var m=0;m<b;m++)o[g+m]=u[p+m]},flattenChunks:function(o){return[].concat.apply([],o)}};n.setTyped=function(o){o?(n.Buf8=Uint8Array,n.Buf16=Uint16Array,n.Buf32=Int32Array,n.assign(n,s)):(n.Buf8=Array,n.Buf16=Array,n.Buf32=Array,n.assign(n,i))},n.setTyped(r)},{}],42:[function(t,e,n){"use strict";var r=t("./common"),s=!0,i=!0;try{String.fromCharCode.apply(null,[0])}catch{s=!1}try{String.fromCharCode.apply(null,new Uint8Array(1))}catch{i=!1}for(var o=new r.Buf8(256),u=0;u<256;u++)o[u]=252<=u?6:248<=u?5:240<=u?4:224<=u?3:192<=u?2:1;function p(b,g){if(g<65537&&(b.subarray&&i||!b.subarray&&s))return String.fromCharCode.apply(null,r.shrinkBuf(b,g));for(var m="",C=0;C<g;C++)m+=String.fromCharCode(b[C]);return m}o[254]=o[254]=1,n.string2buf=function(b){var g,m,C,y,T,P=b.length,c=0;for(y=0;y<P;y++)(64512&(m=b.charCodeAt(y)))==55296&&y+1<P&&(64512&(C=b.charCodeAt(y+1)))==56320&&(m=65536+(m-55296<<10)+(C-56320),y++),c+=m<128?1:m<2048?2:m<65536?3:4;for(g=new r.Buf8(c),y=T=0;T<c;y++)(64512&(m=b.charCodeAt(y)))==55296&&y+1<P&&(64512&(C=b.charCodeAt(y+1)))==56320&&(m=65536+(m-55296<<10)+(C-56320),y++),m<128?g[T++]=m:(m<2048?g[T++]=192|m>>>6:(m<65536?g[T++]=224|m>>>12:(g[T++]=240|m>>>18,g[T++]=128|m>>>12&63),g[T++]=128|m>>>6&63),g[T++]=128|63&m);return g},n.buf2binstring=function(b){return p(b,b.length)},n.binstring2buf=function(b){for(var g=new r.Buf8(b.length),m=0,C=g.length;m<C;m++)g[m]=b.charCodeAt(m);return g},n.buf2string=function(b,g){var m,C,y,T,P=g||b.length,c=new Array(2*P);for(m=C=0;m<P;)if((y=b[m++])<128)c[C++]=y;else if(4<(T=o[y]))c[C++]=65533,m+=T-1;else{for(y&=T===2?31:T===3?15:7;1<T&&m<P;)y=y<<6|63&b[m++],T--;1<T?c[C++]=65533:y<65536?c[C++]=y:(y-=65536,c[C++]=55296|y>>10&1023,c[C++]=56320|1023&y)}return p(c,C)},n.utf8border=function(b,g){var m;for((g=g||b.length)>b.length&&(g=b.length),m=g-1;0<=m&&(192&b[m])==128;)m--;return m<0||m===0?g:m+o[b[m]]>g?m:g}},{"./common":41}],43:[function(t,e,n){"use strict";e.exports=function(r,s,i,o){for(var u=65535&r|0,p=r>>>16&65535|0,b=0;i!==0;){for(i-=b=2e3<i?2e3:i;p=p+(u=u+s[o++]|0)|0,--b;);u%=65521,p%=65521}return u|p<<16|0}},{}],44:[function(t,e,n){"use strict";e.exports={Z_NO_FLUSH:0,Z_PARTIAL_FLUSH:1,Z_SYNC_FLUSH:2,Z_FULL_FLUSH:3,Z_FINISH:4,Z_BLOCK:5,Z_TREES:6,Z_OK:0,Z_STREAM_END:1,Z_NEED_DICT:2,Z_ERRNO:-1,Z_STREAM_ERROR:-2,Z_DATA_ERROR:-3,Z_BUF_ERROR:-5,Z_NO_COMPRESSION:0,Z_BEST_SPEED:1,Z_BEST_COMPRESSION:9,Z_DEFAULT_COMPRESSION:-1,Z_FILTERED:1,Z_HUFFMAN_ONLY:2,Z_RLE:3,Z_FIXED:4,Z_DEFAULT_STRATEGY:0,Z_BINARY:0,Z_TEXT:1,Z_UNKNOWN:2,Z_DEFLATED:8}},{}],45:[function(t,e,n){"use strict";var r=function(){for(var s,i=[],o=0;o<256;o++){s=o;for(var u=0;u<8;u++)s=1&s?3988292384^s>>>1:s>>>1;i[o]=s}return i}();e.exports=function(s,i,o,u){var p=r,b=u+o;s^=-1;for(var g=u;g<b;g++)s=s>>>8^p[255&(s^i[g])];return-1^s}},{}],46:[function(t,e,n){"use strict";var r,s=t("../utils/common"),i=t("./trees"),o=t("./adler32"),u=t("./crc32"),p=t("./messages"),b=0,g=4,m=0,C=-2,y=-1,T=4,P=2,c=8,l=9,h=286,_=30,F=19,O=2*h+1,f=15,U=3,X=258,Q=X+U+1,E=42,$=113,w=1,k=2,S=3,B=4;function L(D,ut){return D.msg=p[ut],ut}function R(D){return(D<<1)-(4<D?9:0)}function q(D){for(var ut=D.length;0<=--ut;)D[ut]=0}function z(D){var ut=D.state,ot=ut.pending;ot>D.avail_out&&(ot=D.avail_out),ot!==0&&(s.arraySet(D.output,ut.pending_buf,ut.pending_out,ot,D.next_out),D.next_out+=ot,ut.pending_out+=ot,D.total_out+=ot,D.avail_out-=ot,ut.pending-=ot,ut.pending===0&&(ut.pending_out=0))}function G(D,ut){i._tr_flush_block(D,0<=D.block_start?D.block_start:-1,D.strstart-D.block_start,ut),D.block_start=D.strstart,z(D.strm)}function nt(D,ut){D.pending_buf[D.pending++]=ut}function tt(D,ut){D.pending_buf[D.pending++]=ut>>>8&255,D.pending_buf[D.pending++]=255&ut}function et(D,ut){var ot,V,j=D.max_chain_length,K=D.strstart,pt=D.prev_length,vt=D.nice_match,rt=D.strstart>D.w_size-Q?D.strstart-(D.w_size-Q):0,gt=D.window,Ct=D.w_mask,xt=D.prev,mt=D.strstart+X,zt=gt[K+pt-1],Gt=gt[K+pt];D.prev_length>=D.good_match&&(j>>=2),vt>D.lookahead&&(vt=D.lookahead);do if(gt[(ot=ut)+pt]===Gt&&gt[ot+pt-1]===zt&&gt[ot]===gt[K]&&gt[++ot]===gt[K+1]){K+=2,ot++;do;while(gt[++K]===gt[++ot]&&gt[++K]===gt[++ot]&&gt[++K]===gt[++ot]&&gt[++K]===gt[++ot]&&gt[++K]===gt[++ot]&&gt[++K]===gt[++ot]&&gt[++K]===gt[++ot]&&gt[++K]===gt[++ot]&&K<mt);if(V=X-(mt-K),K=mt-X,pt<V){if(D.match_start=ut,vt<=(pt=V))break;zt=gt[K+pt-1],Gt=gt[K+pt]}}while((ut=xt[ut&Ct])>rt&&--j!=0);return pt<=D.lookahead?pt:D.lookahead}function wt(D){var ut,ot,V,j,K,pt,vt,rt,gt,Ct,xt=D.w_size;do{if(j=D.window_size-D.lookahead-D.strstart,D.strstart>=xt+(xt-Q)){for(s.arraySet(D.window,D.window,xt,xt,0),D.match_start-=xt,D.strstart-=xt,D.block_start-=xt,ut=ot=D.hash_size;V=D.head[--ut],D.head[ut]=xt<=V?V-xt:0,--ot;);for(ut=ot=xt;V=D.prev[--ut],D.prev[ut]=xt<=V?V-xt:0,--ot;);j+=xt}if(D.strm.avail_in===0)break;if(pt=D.strm,vt=D.window,rt=D.strstart+D.lookahead,gt=j,Ct=void 0,Ct=pt.avail_in,gt<Ct&&(Ct=gt),ot=Ct===0?0:(pt.avail_in-=Ct,s.arraySet(vt,pt.input,pt.next_in,Ct,rt),pt.state.wrap===1?pt.adler=o(pt.adler,vt,Ct,rt):pt.state.wrap===2&&(pt.adler=u(pt.adler,vt,Ct,rt)),pt.next_in+=Ct,pt.total_in+=Ct,Ct),D.lookahead+=ot,D.lookahead+D.insert>=U)for(K=D.strstart-D.insert,D.ins_h=D.window[K],D.ins_h=(D.ins_h<<D.hash_shift^D.window[K+1])&D.hash_mask;D.insert&&(D.ins_h=(D.ins_h<<D.hash_shift^D.window[K+U-1])&D.hash_mask,D.prev[K&D.w_mask]=D.head[D.ins_h],D.head[D.ins_h]=K,K++,D.insert--,!(D.lookahead+D.insert<U)););}while(D.lookahead<Q&&D.strm.avail_in!==0)}function St(D,ut){for(var ot,V;;){if(D.lookahead<Q){if(wt(D),D.lookahead<Q&&ut===b)return w;if(D.lookahead===0)break}if(ot=0,D.lookahead>=U&&(D.ins_h=(D.ins_h<<D.hash_shift^D.window[D.strstart+U-1])&D.hash_mask,ot=D.prev[D.strstart&D.w_mask]=D.head[D.ins_h],D.head[D.ins_h]=D.strstart),ot!==0&&D.strstart-ot<=D.w_size-Q&&(D.match_length=et(D,ot)),D.match_length>=U)if(V=i._tr_tally(D,D.strstart-D.match_start,D.match_length-U),D.lookahead-=D.match_length,D.match_length<=D.max_lazy_match&&D.lookahead>=U){for(D.match_length--;D.strstart++,D.ins_h=(D.ins_h<<D.hash_shift^D.window[D.strstart+U-1])&D.hash_mask,ot=D.prev[D.strstart&D.w_mask]=D.head[D.ins_h],D.head[D.ins_h]=D.strstart,--D.match_length!=0;);D.strstart++}else D.strstart+=D.match_length,D.match_length=0,D.ins_h=D.window[D.strstart],D.ins_h=(D.ins_h<<D.hash_shift^D.window[D.strstart+1])&D.hash_mask;else V=i._tr_tally(D,0,D.window[D.strstart]),D.lookahead--,D.strstart++;if(V&&(G(D,!1),D.strm.avail_out===0))return w}return D.insert=D.strstart<U-1?D.strstart:U-1,ut===g?(G(D,!0),D.strm.avail_out===0?S:B):D.last_lit&&(G(D,!1),D.strm.avail_out===0)?w:k}function Tt(D,ut){for(var ot,V,j;;){if(D.lookahead<Q){if(wt(D),D.lookahead<Q&&ut===b)return 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s.Buf16(2*h+1),q(this.depth),this.l_buf=0,this.lit_bufsize=0,this.last_lit=0,this.d_buf=0,this.opt_len=0,this.static_len=0,this.matches=0,this.insert=0,this.bi_buf=0,this.bi_valid=0}function Bt(D){var ut;return D&&D.state?(D.total_in=D.total_out=0,D.data_type=P,(ut=D.state).pending=0,ut.pending_out=0,ut.wrap<0&&(ut.wrap=-ut.wrap),ut.status=ut.wrap?E:$,D.adler=ut.wrap===2?0:1,ut.last_flush=b,i._tr_init(ut),m):L(D,C)}function $t(D){var ut=Bt(D);return ut===m&&function(ot){ot.window_size=2*ot.w_size,q(ot.head),ot.max_lazy_match=r[ot.level].max_lazy,ot.good_match=r[ot.level].good_length,ot.nice_match=r[ot.level].nice_length,ot.max_chain_length=r[ot.level].max_chain,ot.strstart=0,ot.block_start=0,ot.lookahead=0,ot.insert=0,ot.match_length=ot.prev_length=U-1,ot.match_available=0,ot.ins_h=0}(D.state),ut}function Kt(D,ut,ot,V,j,K){if(!D)return C;var pt=1;if(ut===y&&(ut=6),V<0?(pt=0,V=-V):15<V&&(pt=2,V-=16),j<1||l<j||ot!==c||V<8||15<V||ut<0||9<ut||K<0||T<K)return L(D,C);V===8&&(V=9);var vt=new Lt;return(D.state=vt).strm=D,vt.wrap=pt,vt.gzhead=null,vt.w_bits=V,vt.w_size=1<<vt.w_bits,vt.w_mask=vt.w_size-1,vt.hash_bits=j+7,vt.hash_size=1<<vt.hash_bits,vt.hash_mask=vt.hash_size-1,vt.hash_shift=~~((vt.hash_bits+U-1)/U),vt.window=new s.Buf8(2*vt.w_size),vt.head=new s.Buf16(vt.hash_size),vt.prev=new s.Buf16(vt.w_size),vt.lit_bufsize=1<<j+6,vt.pending_buf_size=4*vt.lit_bufsize,vt.pending_buf=new s.Buf8(vt.pending_buf_size),vt.d_buf=1*vt.lit_bufsize,vt.l_buf=3*vt.lit_bufsize,vt.level=ut,vt.strategy=K,vt.method=ot,$t(D)}r=[new kt(0,0,0,0,function(D,ut){var ot=65535;for(ot>D.pending_buf_size-5&&(ot=D.pending_buf_size-5);;){if(D.lookahead<=1){if(wt(D),D.lookahead===0&&ut===b)return w;if(D.lookahead===0)break}D.strstart+=D.lookahead,D.lookahead=0;var V=D.block_start+ot;if((D.strstart===0||D.strstart>=V)&&(D.lookahead=D.strstart-V,D.strstart=V,G(D,!1),D.strm.avail_out===0)||D.strstart-D.block_start>=D.w_size-Q&&(G(D,!1),D.strm.avail_out===0))return w}return D.insert=0,ut===g?(G(D,!0),D.strm.avail_out===0?S:B):(D.strstart>D.block_start&&(G(D,!1),D.strm.avail_out),w)}),new kt(4,4,8,4,St),new kt(4,5,16,8,St),new kt(4,6,32,32,St),new kt(4,4,16,16,Tt),new kt(8,16,32,32,Tt),new kt(8,16,128,128,Tt),new kt(8,32,128,256,Tt),new kt(32,128,258,1024,Tt),new kt(32,258,258,4096,Tt)],n.deflateInit=function(D,ut){return Kt(D,ut,c,15,8,0)},n.deflateInit2=Kt,n.deflateReset=$t,n.deflateResetKeep=Bt,n.deflateSetHeader=function(D,ut){return D&&D.state?D.state.wrap!==2?C:(D.state.gzhead=ut,m):C},n.deflate=function(D,ut){var ot,V,j,K;if(!D||!D.state||5<ut||ut<0)return D?L(D,C):C;if(V=D.state,!D.output||!D.input&&D.avail_in!==0||V.status===666&&ut!==g)return L(D,D.avail_out===0?-5:C);if(V.strm=D,ot=V.last_flush,V.last_flush=ut,V.status===E)if(V.wrap===2)D.adler=0,nt(V,31),nt(V,139),nt(V,8),V.gzhead?(nt(V,(V.gzhead.text?1:0)+(V.gzhead.hcrc?2:0)+(V.gzhead.extra?4:0)+(V.gzhead.name?8:0)+(V.gzhead.comment?16:0)),nt(V,255&V.gzhead.time),nt(V,V.gzhead.time>>8&255),nt(V,V.gzhead.time>>16&255),nt(V,V.gzhead.time>>24&255),nt(V,V.level===9?2:2<=V.strategy||V.level<2?4:0),nt(V,255&V.gzhead.os),V.gzhead.extra&&V.gzhead.extra.length&&(nt(V,255&V.gzhead.extra.length),nt(V,V.gzhead.extra.length>>8&255)),V.gzhead.hcrc&&(D.adler=u(D.adler,V.pending_buf,V.pending,0)),V.gzindex=0,V.status=69):(nt(V,0),nt(V,0),nt(V,0),nt(V,0),nt(V,0),nt(V,V.level===9?2:2<=V.strategy||V.level<2?4:0),nt(V,3),V.status=$);else{var pt=c+(V.w_bits-8<<4)<<8;pt|=(2<=V.strategy||V.level<2?0:V.level<6?1:V.level===6?2:3)<<6,V.strstart!==0&&(pt|=32),pt+=31-pt%31,V.status=$,tt(V,pt),V.strstart!==0&&(tt(V,D.adler>>>16),tt(V,65535&D.adler)),D.adler=1}if(V.status===69)if(V.gzhead.extra){for(j=V.pending;V.gzindex<(65535&V.gzhead.extra.length)&&(V.pending!==V.pending_buf_size||(V.gzhead.hcrc&&V.pending>j&&(D.adler=u(D.adler,V.pending_buf,V.pending-j,j)),z(D),j=V.pending,V.pending!==V.pending_buf_size));)nt(V,255&V.gzhead.extra[V.gzindex]),V.gzindex++;V.gzhead.hcrc&&V.pending>j&&(D.adler=u(D.adler,V.pending_buf,V.pending-j,j)),V.gzindex===V.gzhead.extra.length&&(V.gzindex=0,V.status=73)}else V.status=73;if(V.status===73)if(V.gzhead.name){j=V.pending;do{if(V.pending===V.pending_buf_size&&(V.gzhead.hcrc&&V.pending>j&&(D.adler=u(D.adler,V.pending_buf,V.pending-j,j)),z(D),j=V.pending,V.pending===V.pending_buf_size)){K=1;break}K=V.gzindex<V.gzhead.name.length?255&V.gzhead.name.charCodeAt(V.gzindex++):0,nt(V,K)}while(K!==0);V.gzhead.hcrc&&V.pending>j&&(D.adler=u(D.adler,V.pending_buf,V.pending-j,j)),K===0&&(V.gzindex=0,V.status=91)}else V.status=91;if(V.status===91)if(V.gzhead.comment){j=V.pending;do{if(V.pending===V.pending_buf_size&&(V.gzhead.hcrc&&V.pending>j&&(D.adler=u(D.adler,V.pending_buf,V.pending-j,j)),z(D),j=V.pending,V.pending===V.pending_buf_size)){K=1;break}K=V.gzindex<V.gzhead.comment.length?255&V.gzhead.comment.charCodeAt(V.gzindex++):0,nt(V,K)}while(K!==0);V.gzhead.hcrc&&V.pending>j&&(D.adler=u(D.adler,V.pending_buf,V.pending-j,j)),K===0&&(V.status=103)}else V.status=103;if(V.status===103&&(V.gzhead.hcrc?(V.pending+2>V.pending_buf_size&&z(D),V.pending+2<=V.pending_buf_size&&(nt(V,255&D.adler),nt(V,D.adler>>8&255),D.adler=0,V.status=$)):V.status=$),V.pending!==0){if(z(D),D.avail_out===0)return V.last_flush=-1,m}else if(D.avail_in===0&&R(ut)<=R(ot)&&ut!==g)return L(D,-5);if(V.status===666&&D.avail_in!==0)return L(D,-5);if(D.avail_in!==0||V.lookahead!==0||ut!==b&&V.status!==666){var vt=V.strategy===2?function(rt,gt){for(var Ct;;){if(rt.lookahead===0&&(wt(rt),rt.lookahead===0)){if(gt===b)return w;break}if(rt.match_length=0,Ct=i._tr_tally(rt,0,rt.window[rt.strstart]),rt.lookahead--,rt.strstart++,Ct&&(G(rt,!1),rt.strm.avail_out===0))return w}return rt.insert=0,gt===g?(G(rt,!0),rt.strm.avail_out===0?S:B):rt.last_lit&&(G(rt,!1),rt.strm.avail_out===0)?w:k}(V,ut):V.strategy===3?function(rt,gt){for(var Ct,xt,mt,zt,Gt=rt.window;;){if(rt.lookahead<=X){if(wt(rt),rt.lookahead<=X&&gt===b)return w;if(rt.lookahead===0)break}if(rt.match_length=0,rt.lookahead>=U&&0<rt.strstart&&(xt=Gt[mt=rt.strstart-1])===Gt[++mt]&&xt===Gt[++mt]&&xt===Gt[++mt]){zt=rt.strstart+X;do;while(xt===Gt[++mt]&&xt===Gt[++mt]&&xt===Gt[++mt]&&xt===Gt[++mt]&&xt===Gt[++mt]&&xt===Gt[++mt]&&xt===Gt[++mt]&&xt===Gt[++mt]&&mt<zt);rt.match_length=X-(zt-mt),rt.match_length>rt.lookahead&&(rt.match_length=rt.lookahead)}if(rt.match_length>=U?(Ct=i._tr_tally(rt,1,rt.match_length-U),rt.lookahead-=rt.match_length,rt.strstart+=rt.match_length,rt.match_length=0):(Ct=i._tr_tally(rt,0,rt.window[rt.strstart]),rt.lookahead--,rt.strstart++),Ct&&(G(rt,!1),rt.strm.avail_out===0))return w}return rt.insert=0,gt===g?(G(rt,!0),rt.strm.avail_out===0?S:B):rt.last_lit&&(G(rt,!1),rt.strm.avail_out===0)?w:k}(V,ut):r[V.level].func(V,ut);if(vt!==S&&vt!==B||(V.status=666),vt===w||vt===S)return D.avail_out===0&&(V.last_flush=-1),m;if(vt===k&&(ut===1?i._tr_align(V):ut!==5&&(i._tr_stored_block(V,0,0,!1),ut===3&&(q(V.head),V.lookahead===0&&(V.strstart=0,V.block_start=0,V.insert=0))),z(D),D.avail_out===0))return V.last_flush=-1,m}return ut!==g?m:V.wrap<=0?1:(V.wrap===2?(nt(V,255&D.adler),nt(V,D.adler>>8&255),nt(V,D.adler>>16&255),nt(V,D.adler>>24&255),nt(V,255&D.total_in),nt(V,D.total_in>>8&255),nt(V,D.total_in>>16&255),nt(V,D.total_in>>24&255)):(tt(V,D.adler>>>16),tt(V,65535&D.adler)),z(D),0<V.wrap&&(V.wrap=-V.wrap),V.pending!==0?m:1)},n.deflateEnd=function(D){var ut;return D&&D.state?(ut=D.state.status)!==E&&ut!==69&&ut!==73&&ut!==91&&ut!==103&&ut!==$&&ut!==666?L(D,C):(D.state=null,ut===$?L(D,-3):m):C},n.deflateSetDictionary=function(D,ut){var ot,V,j,K,pt,vt,rt,gt,Ct=ut.length;if(!D||!D.state||(K=(ot=D.state).wrap)===2||K===1&&ot.status!==E||ot.lookahead)return C;for(K===1&&(D.adler=o(D.adler,ut,Ct,0)),ot.wrap=0,Ct>=ot.w_size&&(K===0&&(q(ot.head),ot.strstart=0,ot.block_start=0,ot.insert=0),gt=new s.Buf8(ot.w_size),s.arraySet(gt,ut,Ct-ot.w_size,ot.w_size,0),ut=gt,Ct=ot.w_size),pt=D.avail_in,vt=D.next_in,rt=D.input,D.avail_in=Ct,D.next_in=0,D.input=ut,wt(ot);ot.lookahead>=U;){for(V=ot.strstart,j=ot.lookahead-(U-1);ot.ins_h=(ot.ins_h<<ot.hash_shift^ot.window[V+U-1])&ot.hash_mask,ot.prev[V&ot.w_mask]=ot.head[ot.ins_h],ot.head[ot.ins_h]=V,V++,--j;);ot.strstart=V,ot.lookahead=U-1,wt(ot)}return ot.strstart+=ot.lookahead,ot.block_start=ot.strstart,ot.insert=ot.lookahead,ot.lookahead=0,ot.match_length=ot.prev_length=U-1,ot.match_available=0,D.next_in=vt,D.input=rt,D.avail_in=pt,ot.wrap=K,m},n.deflateInfo="pako deflate (from Nodeca project)"},{"../utils/common":41,"./adler32":43,"./crc32":45,"./messages":51,"./trees":52}],47:[function(t,e,n){"use strict";e.exports=function(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name="",this.comment="",this.hcrc=0,this.done=!1}},{}],48:[function(t,e,n){"use strict";e.exports=function(r,s){var i,o,u,p,b,g,m,C,y,T,P,c,l,h,_,F,O,f,U,X,Q,E,$,w,k;i=r.state,o=r.next_in,w=r.input,u=o+(r.avail_in-5),p=r.next_out,k=r.output,b=p-(s-r.avail_out),g=p+(r.avail_out-257),m=i.dmax,C=i.wsize,y=i.whave,T=i.wnext,P=i.window,c=i.hold,l=i.bits,h=i.lencode,_=i.distcode,F=(1<<i.lenbits)-1,O=(1<<i.distbits)-1;t:do{l<15&&(c+=w[o++]<<l,l+=8,c+=w[o++]<<l,l+=8),f=h[c&F];e:for(;;){if(c>>>=U=f>>>24,l-=U,(U=f>>>16&255)===0)k[p++]=65535&f;else{if(!(16&U)){if(!(64&U)){f=h[(65535&f)+(c&(1<<U)-1)];continue e}if(32&U){i.mode=12;break t}r.msg="invalid literal/length code",i.mode=30;break t}X=65535&f,(U&=15)&&(l<U&&(c+=w[o++]<<l,l+=8),X+=c&(1<<U)-1,c>>>=U,l-=U),l<15&&(c+=w[o++]<<l,l+=8,c+=w[o++]<<l,l+=8),f=_[c&O];n:for(;;){if(c>>>=U=f>>>24,l-=U,!(16&(U=f>>>16&255))){if(!(64&U)){f=_[(65535&f)+(c&(1<<U)-1)];continue n}r.msg="invalid distance code",i.mode=30;break t}if(Q=65535&f,l<(U&=15)&&(c+=w[o++]<<l,(l+=8)<U&&(c+=w[o++]<<l,l+=8)),m<(Q+=c&(1<<U)-1)){r.msg="invalid distance too far back",i.mode=30;break t}if(c>>>=U,l-=U,(U=p-b)<Q){if(y<(U=Q-U)&&i.sane){r.msg="invalid distance too far back",i.mode=30;break t}if($=P,(E=0)===T){if(E+=C-U,U<X){for(X-=U;k[p++]=P[E++],--U;);E=p-Q,$=k}}else if(T<U){if(E+=C+T-U,(U-=T)<X){for(X-=U;k[p++]=P[E++],--U;);if(E=0,T<X){for(X-=U=T;k[p++]=P[E++],--U;);E=p-Q,$=k}}}else if(E+=T-U,U<X){for(X-=U;k[p++]=P[E++],--U;);E=p-Q,$=k}for(;2<X;)k[p++]=$[E++],k[p++]=$[E++],k[p++]=$[E++],X-=3;X&&(k[p++]=$[E++],1<X&&(k[p++]=$[E++]))}else{for(E=p-Q;k[p++]=k[E++],k[p++]=k[E++],k[p++]=k[E++],2<(X-=3););X&&(k[p++]=k[E++],1<X&&(k[p++]=k[E++]))}break}}break}}while(o<u&&p<g);o-=X=l>>3,c&=(1<<(l-=X<<3))-1,r.next_in=o,r.next_out=p,r.avail_in=o<u?u-o+5:5-(o-u),r.avail_out=p<g?g-p+257:257-(p-g),i.hold=c,i.bits=l}},{}],49:[function(t,e,n){"use strict";var r=t("../utils/common"),s=t("./adler32"),i=t("./crc32"),o=t("./inffast"),u=t("./inftrees"),p=1,b=2,g=0,m=-2,C=1,y=852,T=592;function P(E){return(E>>>24&255)+(E>>>8&65280)+((65280&E)<<8)+((255&E)<<24)}function c(){this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new r.Buf16(320),this.work=new r.Buf16(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}function l(E){var $;return E&&E.state?($=E.state,E.total_in=E.total_out=$.total=0,E.msg="",$.wrap&&(E.adler=1&$.wrap),$.mode=C,$.last=0,$.havedict=0,$.dmax=32768,$.head=null,$.hold=0,$.bits=0,$.lencode=$.lendyn=new r.Buf32(y),$.distcode=$.distdyn=new r.Buf32(T),$.sane=1,$.back=-1,g):m}function h(E){var $;return E&&E.state?(($=E.state).wsize=0,$.whave=0,$.wnext=0,l(E)):m}function _(E,$){var w,k;return E&&E.state?(k=E.state,$<0?(w=0,$=-$):(w=1+($>>4),$<48&&($&=15)),$&&($<8||15<$)?m:(k.window!==null&&k.wbits!==$&&(k.window=null),k.wrap=w,k.wbits=$,h(E))):m}function F(E,$){var w,k;return E?(k=new c,(E.state=k).window=null,(w=_(E,$))!==g&&(E.state=null),w):m}var O,f,U=!0;function X(E){if(U){var $;for(O=new r.Buf32(512),f=new r.Buf32(32),$=0;$<144;)E.lens[$++]=8;for(;$<256;)E.lens[$++]=9;for(;$<280;)E.lens[$++]=7;for(;$<288;)E.lens[$++]=8;for(u(p,E.lens,0,288,O,0,E.work,{bits:9}),$=0;$<32;)E.lens[$++]=5;u(b,E.lens,0,32,f,0,E.work,{bits:5}),U=!1}E.lencode=O,E.lenbits=9,E.distcode=f,E.distbits=5}function Q(E,$,w,k){var S,B=E.state;return B.window===null&&(B.wsize=1<<B.wbits,B.wnext=0,B.whave=0,B.window=new r.Buf8(B.wsize)),k>=B.wsize?(r.arraySet(B.window,$,w-B.wsize,B.wsize,0),B.wnext=0,B.whave=B.wsize):(k<(S=B.wsize-B.wnext)&&(S=k),r.arraySet(B.window,$,w-k,S,B.wnext),(k-=S)?(r.arraySet(B.window,$,w-k,k,0),B.wnext=k,B.whave=B.wsize):(B.wnext+=S,B.wnext===B.wsize&&(B.wnext=0),B.whave<B.wsize&&(B.whave+=S))),0}n.inflateReset=h,n.inflateReset2=_,n.inflateResetKeep=l,n.inflateInit=function(E){return F(E,15)},n.inflateInit2=F,n.inflate=function(E,$){var w,k,S,B,L,R,q,z,G,nt,tt,et,wt,St,Tt,kt,Lt,Bt,$t,Kt,D,ut,ot,V,j=0,K=new r.Buf8(4),pt=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];if(!E||!E.state||!E.output||!E.input&&E.avail_in!==0)return m;(w=E.state).mode===12&&(w.mode=13),L=E.next_out,S=E.output,q=E.avail_out,B=E.next_in,k=E.input,R=E.avail_in,z=w.hold,G=w.bits,nt=R,tt=q,ut=g;t:for(;;)switch(w.mode){case C:if(w.wrap===0){w.mode=13;break}for(;G<16;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}if(2&w.wrap&&z===35615){K[w.check=0]=255&z,K[1]=z>>>8&255,w.check=i(w.check,K,2,0),G=z=0,w.mode=2;break}if(w.flags=0,w.head&&(w.head.done=!1),!(1&w.wrap)||(((255&z)<<8)+(z>>8))%31){E.msg="incorrect header check",w.mode=30;break}if((15&z)!=8){E.msg="unknown compression method",w.mode=30;break}if(G-=4,D=8+(15&(z>>>=4)),w.wbits===0)w.wbits=D;else if(D>w.wbits){E.msg="invalid window size",w.mode=30;break}w.dmax=1<<D,E.adler=w.check=1,w.mode=512&z?10:12,G=z=0;break;case 2:for(;G<16;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}if(w.flags=z,(255&w.flags)!=8){E.msg="unknown compression method",w.mode=30;break}if(57344&w.flags){E.msg="unknown header flags set",w.mode=30;break}w.head&&(w.head.text=z>>8&1),512&w.flags&&(K[0]=255&z,K[1]=z>>>8&255,w.check=i(w.check,K,2,0)),G=z=0,w.mode=3;case 3:for(;G<32;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}w.head&&(w.head.time=z),512&w.flags&&(K[0]=255&z,K[1]=z>>>8&255,K[2]=z>>>16&255,K[3]=z>>>24&255,w.check=i(w.check,K,4,0)),G=z=0,w.mode=4;case 4:for(;G<16;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}w.head&&(w.head.xflags=255&z,w.head.os=z>>8),512&w.flags&&(K[0]=255&z,K[1]=z>>>8&255,w.check=i(w.check,K,2,0)),G=z=0,w.mode=5;case 5:if(1024&w.flags){for(;G<16;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}w.length=z,w.head&&(w.head.extra_len=z),512&w.flags&&(K[0]=255&z,K[1]=z>>>8&255,w.check=i(w.check,K,2,0)),G=z=0}else w.head&&(w.head.extra=null);w.mode=6;case 6:if(1024&w.flags&&(R<(et=w.length)&&(et=R),et&&(w.head&&(D=w.head.extra_len-w.length,w.head.extra||(w.head.extra=new Array(w.head.extra_len)),r.arraySet(w.head.extra,k,B,et,D)),512&w.flags&&(w.check=i(w.check,k,et,B)),R-=et,B+=et,w.length-=et),w.length))break t;w.length=0,w.mode=7;case 7:if(2048&w.flags){if(R===0)break t;for(et=0;D=k[B+et++],w.head&&D&&w.length<65536&&(w.head.name+=String.fromCharCode(D)),D&&et<R;);if(512&w.flags&&(w.check=i(w.check,k,et,B)),R-=et,B+=et,D)break t}else w.head&&(w.head.name=null);w.length=0,w.mode=8;case 8:if(4096&w.flags){if(R===0)break t;for(et=0;D=k[B+et++],w.head&&D&&w.length<65536&&(w.head.comment+=String.fromCharCode(D)),D&&et<R;);if(512&w.flags&&(w.check=i(w.check,k,et,B)),R-=et,B+=et,D)break t}else w.head&&(w.head.comment=null);w.mode=9;case 9:if(512&w.flags){for(;G<16;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}if(z!==(65535&w.check)){E.msg="header crc mismatch",w.mode=30;break}G=z=0}w.head&&(w.head.hcrc=w.flags>>9&1,w.head.done=!0),E.adler=w.check=0,w.mode=12;break;case 10:for(;G<32;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}E.adler=w.check=P(z),G=z=0,w.mode=11;case 11:if(w.havedict===0)return E.next_out=L,E.avail_out=q,E.next_in=B,E.avail_in=R,w.hold=z,w.bits=G,2;E.adler=w.check=1,w.mode=12;case 12:if($===5||$===6)break t;case 13:if(w.last){z>>>=7&G,G-=7&G,w.mode=27;break}for(;G<3;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}switch(w.last=1&z,G-=1,3&(z>>>=1)){case 0:w.mode=14;break;case 1:if(X(w),w.mode=20,$!==6)break;z>>>=2,G-=2;break t;case 2:w.mode=17;break;case 3:E.msg="invalid block type",w.mode=30}z>>>=2,G-=2;break;case 14:for(z>>>=7&G,G-=7&G;G<32;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}if((65535&z)!=(z>>>16^65535)){E.msg="invalid stored block lengths",w.mode=30;break}if(w.length=65535&z,G=z=0,w.mode=15,$===6)break t;case 15:w.mode=16;case 16:if(et=w.length){if(R<et&&(et=R),q<et&&(et=q),et===0)break t;r.arraySet(S,k,B,et,L),R-=et,B+=et,q-=et,L+=et,w.length-=et;break}w.mode=12;break;case 17:for(;G<14;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}if(w.nlen=257+(31&z),z>>>=5,G-=5,w.ndist=1+(31&z),z>>>=5,G-=5,w.ncode=4+(15&z),z>>>=4,G-=4,286<w.nlen||30<w.ndist){E.msg="too many length or distance symbols",w.mode=30;break}w.have=0,w.mode=18;case 18:for(;w.have<w.ncode;){for(;G<3;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}w.lens[pt[w.have++]]=7&z,z>>>=3,G-=3}for(;w.have<19;)w.lens[pt[w.have++]]=0;if(w.lencode=w.lendyn,w.lenbits=7,ot={bits:w.lenbits},ut=u(0,w.lens,0,19,w.lencode,0,w.work,ot),w.lenbits=ot.bits,ut){E.msg="invalid code lengths set",w.mode=30;break}w.have=0,w.mode=19;case 19:for(;w.have<w.nlen+w.ndist;){for(;kt=(j=w.lencode[z&(1<<w.lenbits)-1])>>>16&255,Lt=65535&j,!((Tt=j>>>24)<=G);){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}if(Lt<16)z>>>=Tt,G-=Tt,w.lens[w.have++]=Lt;else{if(Lt===16){for(V=Tt+2;G<V;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}if(z>>>=Tt,G-=Tt,w.have===0){E.msg="invalid bit length repeat",w.mode=30;break}D=w.lens[w.have-1],et=3+(3&z),z>>>=2,G-=2}else if(Lt===17){for(V=Tt+3;G<V;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}G-=Tt,D=0,et=3+(7&(z>>>=Tt)),z>>>=3,G-=3}else{for(V=Tt+7;G<V;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}G-=Tt,D=0,et=11+(127&(z>>>=Tt)),z>>>=7,G-=7}if(w.have+et>w.nlen+w.ndist){E.msg="invalid bit length repeat",w.mode=30;break}for(;et--;)w.lens[w.have++]=D}}if(w.mode===30)break;if(w.lens[256]===0){E.msg="invalid code -- missing end-of-block",w.mode=30;break}if(w.lenbits=9,ot={bits:w.lenbits},ut=u(p,w.lens,0,w.nlen,w.lencode,0,w.work,ot),w.lenbits=ot.bits,ut){E.msg="invalid literal/lengths set",w.mode=30;break}if(w.distbits=6,w.distcode=w.distdyn,ot={bits:w.distbits},ut=u(b,w.lens,w.nlen,w.ndist,w.distcode,0,w.work,ot),w.distbits=ot.bits,ut){E.msg="invalid distances set",w.mode=30;break}if(w.mode=20,$===6)break t;case 20:w.mode=21;case 21:if(6<=R&&258<=q){E.next_out=L,E.avail_out=q,E.next_in=B,E.avail_in=R,w.hold=z,w.bits=G,o(E,tt),L=E.next_out,S=E.output,q=E.avail_out,B=E.next_in,k=E.input,R=E.avail_in,z=w.hold,G=w.bits,w.mode===12&&(w.back=-1);break}for(w.back=0;kt=(j=w.lencode[z&(1<<w.lenbits)-1])>>>16&255,Lt=65535&j,!((Tt=j>>>24)<=G);){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}if(kt&&!(240&kt)){for(Bt=Tt,$t=kt,Kt=Lt;kt=(j=w.lencode[Kt+((z&(1<<Bt+$t)-1)>>Bt)])>>>16&255,Lt=65535&j,!(Bt+(Tt=j>>>24)<=G);){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}z>>>=Bt,G-=Bt,w.back+=Bt}if(z>>>=Tt,G-=Tt,w.back+=Tt,w.length=Lt,kt===0){w.mode=26;break}if(32&kt){w.back=-1,w.mode=12;break}if(64&kt){E.msg="invalid literal/length code",w.mode=30;break}w.extra=15&kt,w.mode=22;case 22:if(w.extra){for(V=w.extra;G<V;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}w.length+=z&(1<<w.extra)-1,z>>>=w.extra,G-=w.extra,w.back+=w.extra}w.was=w.length,w.mode=23;case 23:for(;kt=(j=w.distcode[z&(1<<w.distbits)-1])>>>16&255,Lt=65535&j,!((Tt=j>>>24)<=G);){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}if(!(240&kt)){for(Bt=Tt,$t=kt,Kt=Lt;kt=(j=w.distcode[Kt+((z&(1<<Bt+$t)-1)>>Bt)])>>>16&255,Lt=65535&j,!(Bt+(Tt=j>>>24)<=G);){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}z>>>=Bt,G-=Bt,w.back+=Bt}if(z>>>=Tt,G-=Tt,w.back+=Tt,64&kt){E.msg="invalid distance code",w.mode=30;break}w.offset=Lt,w.extra=15&kt,w.mode=24;case 24:if(w.extra){for(V=w.extra;G<V;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}w.offset+=z&(1<<w.extra)-1,z>>>=w.extra,G-=w.extra,w.back+=w.extra}if(w.offset>w.dmax){E.msg="invalid distance too far back",w.mode=30;break}w.mode=25;case 25:if(q===0)break t;if(et=tt-q,w.offset>et){if((et=w.offset-et)>w.whave&&w.sane){E.msg="invalid distance too far back",w.mode=30;break}wt=et>w.wnext?(et-=w.wnext,w.wsize-et):w.wnext-et,et>w.length&&(et=w.length),St=w.window}else St=S,wt=L-w.offset,et=w.length;for(q<et&&(et=q),q-=et,w.length-=et;S[L++]=St[wt++],--et;);w.length===0&&(w.mode=21);break;case 26:if(q===0)break t;S[L++]=w.length,q--,w.mode=21;break;case 27:if(w.wrap){for(;G<32;){if(R===0)break t;R--,z|=k[B++]<<G,G+=8}if(tt-=q,E.total_out+=tt,w.total+=tt,tt&&(E.adler=w.check=w.flags?i(w.check,S,tt,L-tt):s(w.check,S,tt,L-tt)),tt=q,(w.flags?z:P(z))!==w.check){E.msg="incorrect data check",w.mode=30;break}G=z=0}w.mode=28;case 28:if(w.wrap&&w.flags){for(;G<32;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}if(z!==(4294967295&w.total)){E.msg="incorrect length check",w.mode=30;break}G=z=0}w.mode=29;case 29:ut=1;break t;case 30:ut=-3;break t;case 31:return-4;case 32:default:return m}return E.next_out=L,E.avail_out=q,E.next_in=B,E.avail_in=R,w.hold=z,w.bits=G,(w.wsize||tt!==E.avail_out&&w.mode<30&&(w.mode<27||$!==4))&&Q(E,E.output,E.next_out,tt-E.avail_out)?(w.mode=31,-4):(nt-=E.avail_in,tt-=E.avail_out,E.total_in+=nt,E.total_out+=tt,w.total+=tt,w.wrap&&tt&&(E.adler=w.check=w.flags?i(w.check,S,tt,E.next_out-tt):s(w.check,S,tt,E.next_out-tt)),E.data_type=w.bits+(w.last?64:0)+(w.mode===12?128:0)+(w.mode===20||w.mode===15?256:0),(nt==0&&tt===0||$===4)&&ut===g&&(ut=-5),ut)},n.inflateEnd=function(E){if(!E||!E.state)return m;var $=E.state;return $.window&&($.window=null),E.state=null,g},n.inflateGetHeader=function(E,$){var w;return E&&E.state&&2&(w=E.state).wrap?((w.head=$).done=!1,g):m},n.inflateSetDictionary=function(E,$){var w,k=$.length;return E&&E.state?(w=E.state).wrap!==0&&w.mode!==11?m:w.mode===11&&s(1,$,k,0)!==w.check?-3:Q(E,$,k,k)?(w.mode=31,-4):(w.havedict=1,g):m},n.inflateInfo="pako inflate (from Nodeca project)"},{"../utils/common":41,"./adler32":43,"./crc32":45,"./inffast":48,"./inftrees":50}],50:[function(t,e,n){"use strict";var r=t("../utils/common"),s=[3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258,0,0],i=[16,16,16,16,16,16,16,16,17,17,17,17,18,18,18,18,19,19,19,19,20,20,20,20,21,21,21,21,16,72,78],o=[1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577,0,0],u=[16,16,16,16,17,17,18,18,19,19,20,20,21,21,22,22,23,23,24,24,25,25,26,26,27,27,28,28,29,29,64,64];e.exports=function(p,b,g,m,C,y,T,P){var c,l,h,_,F,O,f,U,X,Q=P.bits,E=0,$=0,w=0,k=0,S=0,B=0,L=0,R=0,q=0,z=0,G=null,nt=0,tt=new r.Buf16(16),et=new r.Buf16(16),wt=null,St=0;for(E=0;E<=15;E++)tt[E]=0;for($=0;$<m;$++)tt[b[g+$]]++;for(S=Q,k=15;1<=k&&tt[k]===0;k--);if(k<S&&(S=k),k===0)return C[y++]=20971520,C[y++]=20971520,P.bits=1,0;for(w=1;w<k&&tt[w]===0;w++);for(S<w&&(S=w),E=R=1;E<=15;E++)if(R<<=1,(R-=tt[E])<0)return-1;if(0<R&&(p===0||k!==1))return-1;for(et[1]=0,E=1;E<15;E++)et[E+1]=et[E]+tt[E];for($=0;$<m;$++)b[g+$]!==0&&(T[et[b[g+$]]++]=$);if(O=p===0?(G=wt=T,19):p===1?(G=s,nt-=257,wt=i,St-=257,256):(G=o,wt=u,-1),E=w,F=y,L=$=z=0,h=-1,_=(q=1<<(B=S))-1,p===1&&852<q||p===2&&592<q)return 1;for(;;){for(f=E-L,X=T[$]<O?(U=0,T[$]):T[$]>O?(U=wt[St+T[$]],G[nt+T[$]]):(U=96,0),c=1<<E-L,w=l=1<<B;C[F+(z>>L)+(l-=c)]=f<<24|U<<16|X|0,l!==0;);for(c=1<<E-1;z&c;)c>>=1;if(c!==0?(z&=c-1,z+=c):z=0,$++,--tt[E]==0){if(E===k)break;E=b[g+T[$]]}if(S<E&&(z&_)!==h){for(L===0&&(L=S),F+=w,R=1<<(B=E-L);B+L<k&&!((R-=tt[B+L])<=0);)B++,R<<=1;if(q+=1<<B,p===1&&852<q||p===2&&592<q)return 1;C[h=z&_]=S<<24|B<<16|F-y|0}}return z!==0&&(C[F+z]=E-L<<24|64<<16|0),P.bits=S,0}},{"../utils/common":41}],51:[function(t,e,n){"use strict";e.exports={2:"need dictionary",1:"stream end",0:"","-1":"file error","-2":"stream error","-3":"data error","-4":"insufficient memory","-5":"buffer error","-6":"incompatible version"}},{}],52:[function(t,e,n){"use strict";var r=t("../utils/common"),s=0,i=1;function o(j){for(var K=j.length;0<=--K;)j[K]=0}var u=0,p=29,b=256,g=b+1+p,m=30,C=19,y=2*g+1,T=15,P=16,c=7,l=256,h=16,_=17,F=18,O=[0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0],f=[0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13],U=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7],X=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15],Q=new Array(2*(g+2));o(Q);var E=new Array(2*m);o(E);var $=new Array(512);o($);var w=new Array(256);o(w);var k=new Array(p);o(k);var S,B,L,R=new Array(m);function q(j,K,pt,vt,rt){this.static_tree=j,this.extra_bits=K,this.extra_base=pt,this.elems=vt,this.max_length=rt,this.has_stree=j&&j.length}function z(j,K){this.dyn_tree=j,this.max_code=0,this.stat_desc=K}function G(j){return j<256?$[j]:$[256+(j>>>7)]}function nt(j,K){j.pending_buf[j.pending++]=255&K,j.pending_buf[j.pending++]=K>>>8&255}function tt(j,K,pt){j.bi_valid>P-pt?(j.bi_buf|=K<<j.bi_valid&65535,nt(j,j.bi_buf),j.bi_buf=K>>P-j.bi_valid,j.bi_valid+=pt-P):(j.bi_buf|=K<<j.bi_valid&65535,j.bi_valid+=pt)}function et(j,K,pt){tt(j,pt[2*K],pt[2*K+1])}function wt(j,K){for(var pt=0;pt|=1&j,j>>>=1,pt<<=1,0<--K;);return pt>>>1}function St(j,K,pt){var vt,rt,gt=new Array(T+1),Ct=0;for(vt=1;vt<=T;vt++)gt[vt]=Ct=Ct+pt[vt-1]<<1;for(rt=0;rt<=K;rt++){var xt=j[2*rt+1];xt!==0&&(j[2*rt]=wt(gt[xt]++,xt))}}function Tt(j){var K;for(K=0;K<g;K++)j.dyn_ltree[2*K]=0;for(K=0;K<m;K++)j.dyn_dtree[2*K]=0;for(K=0;K<C;K++)j.bl_tree[2*K]=0;j.dyn_ltree[2*l]=1,j.opt_len=j.static_len=0,j.last_lit=j.matches=0}function kt(j){8<j.bi_valid?nt(j,j.bi_buf):0<j.bi_valid&&(j.pending_buf[j.pending++]=j.bi_buf),j.bi_buf=0,j.bi_valid=0}function Lt(j,K,pt,vt){var rt=2*K,gt=2*pt;return j[rt]<j[gt]||j[rt]===j[gt]&&vt[K]<=vt[pt]}function Bt(j,K,pt){for(var vt=j.heap[pt],rt=pt<<1;rt<=j.heap_len&&(rt<j.heap_len&&Lt(K,j.heap[rt+1],j.heap[rt],j.depth)&&rt++,!Lt(K,vt,j.heap[rt],j.depth));)j.heap[pt]=j.heap[rt],pt=rt,rt<<=1;j.heap[pt]=vt}function $t(j,K,pt){var vt,rt,gt,Ct,xt=0;if(j.last_lit!==0)for(;vt=j.pending_buf[j.d_buf+2*xt]<<8|j.pending_buf[j.d_buf+2*xt+1],rt=j.pending_buf[j.l_buf+xt],xt++,vt===0?et(j,rt,K):(et(j,(gt=w[rt])+b+1,K),(Ct=O[gt])!==0&&tt(j,rt-=k[gt],Ct),et(j,gt=G(--vt),pt),(Ct=f[gt])!==0&&tt(j,vt-=R[gt],Ct)),xt<j.last_lit;);et(j,l,K)}function Kt(j,K){var 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e={time:+new Date,start:t._iDisplayStart,length:t._iDisplayLength,order:H.extend(!0,[],t.aaSorting),search:H.extend({},t.oPreviousSearch),columns:t.aoColumns.map(function(n,r){return{visible:n.bVisible,search:H.extend({},t.aoPreSearchCols[r])}})};t.oSavedState=e,Zt(t,"aoStateSaveParams","stateSaveParams",[t,e]),t.oFeatures.bStateSave&&!t.bDestroying&&t.fnStateSaveCallback.call(t.oInstance,t,e)}}function Sl(t,e,n){if(!t.oFeatures.bStateSave){n();return}var r=function(i){ki(t,i,n)},s=t.fnStateLoadCallback.call(t.oInstance,t,r);return s!==void 0&&ki(t,s,n),!0}function ki(t,e,n){var r,s,i=t.aoColumns;t._bLoadingState=!0;var o=t._bInitComplete?new bt.Api(t):null;if(!e||!e.time){t._bLoadingState=!1,n();return}var u=t.iStateDuration;if(u>0&&e.time<+new Date-u*1e3){t._bLoadingState=!1,n();return}var 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Wt(t);r.one("draw",function(){n(r.ajax.json())})}if(Ee(t)=="ssp")Rn(t,e);else{ke(t,!0);var s=t.jqXHR;s&&s.readyState!==4&&s.abort(),Ri(t,{},function(i){Oi(t);for(var o=Lr(t,i),u=0,p=o.length;u<p;u++)yn(t,o[u]);Rn(t,e),Pr(t),ke(t,!1)})}};It("ajax.json()",function(){var t=this.context;if(t.length>0)return t[0].json});It("ajax.params()",function(){var t=this.context;if(t.length>0)return t[0].oAjaxData});It("ajax.reload()",function(t,e){return this.iterator("table",function(n){ys(n,e===!1,t)})});It("ajax.url()",function(t){var e=this.context;return t===void 0?e.length===0?void 0:(e=e[0],H.isPlainObject(e.ajax)?e.ajax.url:e.ajax):this.iterator("table",function(n){H.isPlainObject(n.ajax)?n.ajax.url=t:n.ajax=t})});It("ajax.url().load()",function(t,e){return this.iterator("table",function(n){ys(n,e===!1,t)})});var Vi=function(t,e,n,r,s){var i=[],o,u,p,b,g,m,C=typeof e;for((!e||C==="string"||C==="function"||e.length===void 0)&&(e=[e]),p=0,b=e.length;p<b;p++)for(u=e[p]&&e[p].split&&!e[p].match(/[[(:]/)?e[p].split(","):[e[p]],g=0,m=u.length;g<m;g++)o=n(typeof u[g]=="string"?u[g].trim():u[g]),o=o.filter(function(T){return T!=null}),o&&o.length&&(i=i.concat(o));var y=le.selector[t];if(y.length)for(p=0,b=y.length;p<b;p++)i=y[p](r,s,i);return xn(i)},Hi=function(t){return t||(t={}),t.filter&&t.search===void 0&&(t.search=t.filter),H.extend({search:"none",order:"current",page:"all"},t)},Ui=function(t){let e=new Wt(t.context[0]);return t.length&&e.push(t[0]),e.selector=t.selector,e.length&&e[0].length>1&&e[0].splice(1),e},Mr=function(t,e){var n,r,s,i=[],o=t.aiDisplay,u=t.aiDisplayMaster,p=e.search,b=e.order,g=e.page;if(Ee(t)=="ssp")return p==="removed"?[]:an(0,u.length);if(g=="current")for(n=t._iDisplayStart,r=t.fnDisplayEnd();n<r;n++)i.push(o[n]);else if(b=="current"||b=="applied"){if(p=="none")i=u.slice();else if(p=="applied")i=o.slice();else if(p=="removed"){var m={};for(n=0,r=o.length;n<r;n++)m[o[n]]=null;u.forEach(function(y){Object.prototype.hasOwnProperty.call(m,y)||i.push(y)})}}else if(b=="index"||b=="original")for(n=0,r=t.aoData.length;n<r;n++)t.aoData[n]&&(p=="none"?i.push(n):(s=o.indexOf(n),(s===-1&&p=="removed"||s>=0&&p=="applied")&&i.push(n)));else if(typeof b=="number"){var C=zi(t,b,"asc");if(p==="none")i=C;else for(n=0;n<C.length;n++)s=o.indexOf(C[n]),(s===-1&&p=="removed"||s>=0&&p=="applied")&&i.push(C[n])}return i},Pl=function(t,e,n){var r,s=function(o){var u=Ja(o),p=t.aoData;if(u!==null&&!n)return[u];if(r||(r=Mr(t,n)),u!==null&&r.indexOf(u)!==-1)return[u];if(o==null||o==="")return r;if(typeof o=="function")return r.map(function(T){var P=p[T];return o(T,P._aData,P.nTr)?T:null});if(o.nodeName){var b=o._DT_RowIndex,g=o._DT_CellIndex;if(b!==void 0)return p[b]&&p[b].nTr===o?[b]:[];if(g)return p[g.row]&&p[g.row].nTr===o.parentNode?[g.row]:[];var m=H(o).closest("*[data-dt-row]");return m.length?[m.data("dt-row")]:[]}if(typeof o=="string"&&o.charAt(0)==="#"){var C=t.aIds[o.replace(/^#/,"")];if(C!==void 0)return[C.idx]}var y=ts(er(t.aoData,r,"nTr"));return H(y).filter(o).map(function(){return this._DT_RowIndex}).toArray()},i=Vi("row",e,s,t,n);return(n.order==="current"||n.order==="applied")&&bs(t,i),i};It("rows()",function(t,e){t===void 0?t="":H.isPlainObject(t)&&(e=t,t=""),e=Hi(e);var n=this.iterator("table",function(r){return Pl(r,t,e)},1);return n.selector.rows=t,n.selector.opts=e,n});It("rows().nodes()",function(){return this.iterator("row",function(t,e){return t.aoData[e].nTr||void 0},1)});It("rows().data()",function(){return this.iterator(!0,"rows",function(t,e){return er(t.aoData,e,"_aData")},1)});Qt("rows().cache()","row().cache()",function(t){return this.iterator("row",function(e,n){var r=e.aoData[n];return t==="search"?r._aFilterData:r._aSortData},1)});Qt("rows().invalidate()","row().invalidate()",function(t){return this.iterator("row",function(e,n){Rr(e,n,t)})});Qt("rows().indexes()","row().index()",function(){return this.iterator("row",function(t,e){return e},1)});Qt("rows().ids()","row().id()",function(t){for(var e=[],n=this.context,r=0,s=n.length;r<s;r++)for(var i=0,o=this[r].length;i<o;i++){var u=n[r].rowIdFn(n[r].aoData[this[r][i]]._aData);e.push((t===!0?"#":"")+u)}return new Wt(n,e)});Qt("rows().remove()","row().remove()",function(){return this.iterator("row",function(t,e){var n=t.aoData,r=n[e],s=t.aiDisplayMaster.indexOf(e);s!==-1&&t.aiDisplayMaster.splice(s,1),t._iRecordsDisplay>0&&t._iRecordsDisplay--,vs(t);var i=t.rowIdFn(r._aData);i!==void 0&&delete t.aIds[i],n[e]=null}),this});It("rows.add()",function(t){var e=this.iterator("table",function(r){var s,i,o,u=[];for(i=0,o=t.length;i<o;i++)s=t[i],s.nodeName&&s.nodeName.toUpperCase()==="TR"?u.push(Ni(r,s)[0]):u.push(yn(r,s));return u},1),n=this.rows(-1);return n.pop(),n.push.apply(n,e),n});It("row()",function(t,e){return Ui(this.rows(t,e))});It("row().data()",function(t){var e=this.context;if(t===void 0)return e.length&&this.length&&this[0].length?e[0].aoData[this[0]]._aData:void 0;var n=e[0].aoData[this[0]];return n._aData=t,Array.isArray(t)&&n.nTr&&n.nTr.id&&vn(e[0].rowId)(t,n.nTr.id),Rr(e[0],this[0],"data"),this});It("row().node()",function(){var t=this.context;if(t.length&&this.length&&this[0].length){var e=t[0].aoData[this[0]];if(e&&e.nTr)return e.nTr}return null});It("row.add()",function(t){t instanceof H&&t.length&&(t=t[0]);var e=this.iterator("table",function(n){return t.nodeName&&t.nodeName.toUpperCase()==="TR"?Ni(n,t)[0]:yn(n,t)});return this.row(e[0])});H(document).on("plugin-init.dt",function(t,e){var n=new Wt(e);n.on("stateSaveParams.DT",function(r,s,i){for(var o=s.rowIdFn,u=s.aiDisplayMaster,p=[],b=0;b<u.length;b++){var g=u[b],m=s.aoData[g];m._detailsShow&&p.push("#"+o(m._aData))}i.childRows=p}),n.on("stateLoaded.DT",function(r,s,i){Xa(n,i)}),Xa(n,n.state.loaded())});var Xa=function(t,e){e&&e.childRows&&t.rows(e.childRows.map(function(n){return n.replace(/([^:\\]*(?:\\.[^:\\]*)*):/g,"$1\\:")})).every(function(){Zt(t.settings()[0],null,"requestChild",[this])})},Fl=function(t,e,n,r){var s=[],i=function(o,u){if(Array.isArray(o)||o instanceof H){for(var p=0,b=o.length;p<b;p++)i(o[p],u);return}if(o.nodeName&&o.nodeName.toLowerCase()==="tr")o.setAttribute("data-dt-row",e.idx),s.push(o);else{var g=H("<tr><td></td></tr>").attr("data-dt-row",e.idx).addClass(u);H("td",g).addClass(u).html(o)[0].colSpan=Er(t),s.push(g[0])}};i(n,r),e._details&&e._details.detach(),e._details=H(s),e._detailsShow&&e._details.insertAfter(e.nTr)},ws=bt.util.throttle(function(t){jr(t[0])},500),Wi=function(t,e){var n=t.context;if(n.length){var r=n[0].aoData[e!==void 0?e:t[0]];r&&r._details&&(r._details.remove(),r._detailsShow=void 0,r._details=void 0,H(r.nTr).removeClass("dt-hasChild"),ws(n))}},xs=function(t,e){var n=t.context;if(n.length&&t.length){var r=n[0].aoData[t[0]];r._details&&(r._detailsShow=e,e?(r._details.insertAfter(r.nTr),H(r.nTr).addClass("dt-hasChild")):(r._details.detach(),H(r.nTr).removeClass("dt-hasChild")),Zt(n[0],null,"childRow",[e,t.row(t[0])]),Bl(n[0]),ws(n))}},Bl=function(t){var e=new Wt(t),n=".dt.DT_details",r="draw"+n,s="column-sizing"+n,i="destroy"+n,o=t.aoData;e.off(r+" "+s+" "+i),Ce(o,"_details").length>0&&(e.on(r,function(u,p){t===p&&e.rows({page:"current"}).eq(0).each(function(b){var g=o[b];g._detailsShow&&g._details.insertAfter(g.nTr)})}),e.on(s,function(u,p){if(t===p)for(var b,g=Er(p),m=0,C=o.length;m<C;m++)b=o[m],b&&b._details&&b._details.each(function(){var y=H(this).children("td");y.length==1&&y.attr("colspan",g)})}),e.on(i,function(u,p){if(t===p)for(var b=0,g=o.length;b<g;b++)o[b]&&o[b]._details&&Wi(e,b)}))},Nl="",rr=Nl+"row().child",Vr=rr+"()";It(Vr,function(t,e){var n=this.context;return t===void 0?n.length&&this.length&&n[0].aoData[this[0]]?n[0].aoData[this[0]]._details:void 0:(t===!0?this.child.show():t===!1?Wi(this):n.length&&this.length&&Fl(n[0],n[0].aoData[this[0]],t,e),this)});It([rr+".show()",Vr+".show()"],function(){return xs(this,!0),this});It([rr+".hide()",Vr+".hide()"],function(){return xs(this,!1),this});It([rr+".remove()",Vr+".remove()"],function(){return Wi(this),this});It(rr+".isShown()",function(){var t=this.context;return t.length&&this.length&&t[0].aoData[this[0]]&&t[0].aoData[this[0]]._detailsShow||!1});var Ol=/^([^:]+)?:(name|title|visIdx|visible)$/,Gi=function(t,e,n,r,s,i){for(var o=[],u=0,p=s.length;u<p;u++)o.push(Re(t,s[u],e,i));return o},_s=function(t,e,n){var r=t.aoHeader,s=n!==void 0?n:t.bSortCellsTop?0:r.length-1;return r[s][e].cell},El=function(t,e,n){var r=t.aoColumns,s=Ce(r,"sName"),i=Ce(r,"sTitle"),o=bt.util.get("[].[].cell")(t.aoHeader),u=xn(Ai([],o)),p=function(b){var g=Ja(b);if(b==="")return an(r.length);if(g!==null)return[g>=0?g:r.length+g];if(typeof b=="function"){var m=Mr(t,n);return r.map(function(l,h){return b(h,Gi(t,h,0,0,m),_s(t,h))?h:null})}var C=typeof b=="string"?b.match(Ol):"";if(C)switch(C[2]){case"visIdx":case"visible":if(C[1]&&C[1].match(/^\d+$/)){var y=parseInt(C[1],10);if(y<0){var T=r.map(function(l,h){return l.bVisible?h:null});return[T[T.length+y]]}return[Ii(t,y)]}return r.map(function(l,h){return l.bVisible?C[1]?H(u[h]).filter(C[1]).length>0?h:null:h:null});case"name":return s.map(function(l,h){return l===C[1]?h:null});case"title":return i.map(function(l,h){return l===C[1]?h:null});default:return[]}if(b.nodeName&&b._DT_CellIndex)return[b._DT_CellIndex.column];var P=H(u).filter(b).map(function(){return Bi(this)}).toArray();if(P.length||!b.nodeName)return P;var c=H(b).closest("*[data-dt-column]");return c.length?[c.data("dt-column")]:[]};return Vi("column",e,p,t,n)},Rl=function(t,e,n){var r=t.aoColumns,s=r[e],i=t.aoData,o,u,p,b;if(n===void 0)return s.bVisible;if(s.bVisible===n)return!1;if(n){var g=Ce(r,"bVisible").indexOf(!0,e+1);for(u=0,p=i.length;u<p;u++)i[u]&&(b=i[u].nTr,o=i[u].anCells,b&&b.insertBefore(o[e],o[g]||null))}else H(Ce(t.aoData,"anCells",e)).detach();return s.bVisible=n,hs(t),!0};It("columns()",function(t,e){t===void 0?t="":H.isPlainObject(t)&&(e=t,t=""),e=Hi(e);var n=this.iterator("table",function(r){return El(r,t,e)},1);return n.selector.cols=t,n.selector.opts=e,n});Qt("columns().header()","column().header()",function(t){return this.iterator("column",function(e,n){return _s(e,n,t)},1)});Qt("columns().footer()","column().footer()",function(t){return this.iterator("column",function(e,n){var r=e.aoFooter;return r.length?e.aoFooter[t!==void 0?t:0][n].cell:null},1)});Qt("columns().data()","column().data()",function(){return this.iterator("column-rows",Gi,1)});Qt("columns().render()","column().render()",function(t){return this.iterator("column-rows",function(e,n,r,s,i){return Gi(e,n,r,s,i,t)},1)});Qt("columns().dataSrc()","column().dataSrc()",function(){return this.iterator("column",function(t,e){return t.aoColumns[e].mData},1)});Qt("columns().cache()","column().cache()",function(t){return this.iterator("column-rows",function(e,n,r,s,i){return er(e.aoData,i,t==="search"?"_aFilterData":"_aSortData",n)},1)});Qt("columns().init()","column().init()",function(){return this.iterator("column",function(t,e){return t.aoColumns[e]},1)});Qt("columns().nodes()","column().nodes()",function(){return this.iterator("column-rows",function(t,e,n,r,s){return er(t.aoData,s,"anCells",e)},1)});Qt("columns().titles()","column().title()",function(t,e){return this.iterator("column",function(n,r){typeof t=="number"&&(e=t,t=void 0);var s=H("span.dt-column-title",this.column(r).header(e));return t!==void 0?(s.html(t),this):s.html()},1)});Qt("columns().types()","column().type()",function(){return this.iterator("column",function(t,e){var n=t.aoColumns[e].sType;return n||Fi(t),n},1)});Qt("columns().visible()","column().visible()",function(t,e){var n=this,r=[],s=this.iterator("column",function(i,o){if(t===void 0)return i.aoColumns[o].bVisible;Rl(i,o,t)&&r.push(o)});return t!==void 0&&this.iterator("table",function(i){Ir(i,i.aoHeader),Ir(i,i.aoFooter),i.aiDisplay.length||H(i.nTBody).find("td[colspan]").attr("colspan",Er(i)),jr(i),n.iterator("column",function(o,u){r.includes(u)&&Zt(o,null,"column-visibility",[o,u,t,e])}),r.length&&(e===void 0||e)&&n.columns.adjust()}),s});Qt("columns().widths()","column().width()",function(){var t=this.columns(":visible").count(),e=H("<tr>").html("<td>"+Array(t).join("</td><td>")+"</td>");H(this.table().body()).append(e);var n=e.children().map(function(){return H(this).outerWidth()});return e.remove(),this.iterator("column",function(r,s){var i=nr(r,s);return i!==null?n[i]:0},1)});Qt("columns().indexes()","column().index()",function(t){return this.iterator("column",function(e,n){return t==="visible"?nr(e,n):n},1)});It("columns.adjust()",function(){return this.iterator("table",function(t){Or(t)},1)});It("column.index()",function(t,e){if(this.context.length!==0){var n=this.context[0];if(t==="fromVisible"||t==="toData")return Ii(n,e);if(t==="fromData"||t==="toVisible")return nr(n,e)}});It("column()",function(t,e){return Ui(this.columns(t,e))});var Ll=function(t,e,n){var r=t.aoData,s=Mr(t,n),i=ts(er(r,s,"anCells")),o=H(Ai([],i)),u,p=t.aoColumns.length,b,g,m,C,y,T,P=function(c){var l=typeof c=="function";if(c==null||l){for(b=[],g=0,m=s.length;g<m;g++)for(u=s[g],C=0;C<p;C++)y={row:u,column:C},l?(T=r[u],c(y,Re(t,u,C),T.anCells?T.anCells[C]:null)&&b.push(y)):b.push(y);return b}if(H.isPlainObject(c))return c.column!==void 0&&c.row!==void 0&&s.indexOf(c.row)!==-1?[c]:[];var h=o.filter(c).map(function(_,F){return{row:F._DT_CellIndex.row,column:F._DT_CellIndex.column}}).toArray();return h.length||!c.nodeName?h:(T=H(c).closest("*[data-dt-row]"),T.length?[{row:T.data("dt-row"),column:T.data("dt-column")}]:[])};return Vi("cell",e,P,t,n)};It("cells()",function(t,e,n){if(H.isPlainObject(t)&&(t.row===void 0?(n=t,t=null):(n=e,e=null)),H.isPlainObject(e)&&(n=e,e=null),e==null)return this.iterator("table",function(C){return Ll(C,t,Hi(n))});var r=n?{page:n.page,order:n.order,search:n.search}:{},s=this.columns(e,r),i=this.rows(t,r),o,u,p,b,g=this.iterator("table",function(C,y){var T=[];for(o=0,u=i[y].length;o<u;o++)for(p=0,b=s[y].length;p<b;p++)T.push({row:i[y][o],column:s[y][p]});return T},1),m=n&&n.selected?this.cells(g,n):g;return H.extend(m.selector,{cols:e,rows:t,opts:n}),m});Qt("cells().nodes()","cell().node()",function(){return this.iterator("cell",function(t,e,n){var r=t.aoData[e];return r&&r.anCells?r.anCells[n]:void 0},1)});It("cells().data()",function(){return this.iterator("cell",function(t,e,n){return Re(t,e,n)},1)});Qt("cells().cache()","cell().cache()",function(t){return t=t==="search"?"_aFilterData":"_aSortData",this.iterator("cell",function(e,n,r){return e.aoData[n][t][r]},1)});Qt("cells().render()","cell().render()",function(t){return this.iterator("cell",function(e,n,r){return Re(e,n,r,t)},1)});Qt("cells().indexes()","cell().index()",function(){return this.iterator("cell",function(t,e,n){return{row:e,column:n,columnVisible:nr(t,n)}},1)});Qt("cells().invalidate()","cell().invalidate()",function(t){return this.iterator("cell",function(e,n,r){Rr(e,n,t,r)})});It("cell()",function(t,e,n){return Ui(this.cells(t,e,n))});It("cell().data()",function(t){var e=this.context,n=this[0];return t===void 0?e.length&&n.length?Re(e[0],n[0].row,n[0].column):void 0:(ol(e[0],n[0].row,n[0].column,t),Rr(e[0],n[0].row,"data",n[0].column),this)});It("order()",function(t,e){var n=this.context,r=Array.prototype.slice.call(arguments);return t===void 0?n.length!==0?n[0].aaSorting:void 0:(typeof t=="number"?t=[[t,e]]:r.length>1&&(t=r),this.iterator("table",function(s){s.aaSorting=Array.isArray(t)?t.slice():t}))});It("order.listener()",function(t,e,n){return this.iterator("table",function(r){ps(r,t,{},e,n)})});It("order.fixed()",function(t){if(!t){var e=this.context,n=e.length?e[0].aaSortingFixed:void 0;return Array.isArray(n)?{pre:n}:n}return this.iterator("table",function(r){r.aaSortingFixed=H.extend(!0,{},t)})});It(["columns().order()","column().order()"],function(t){var e=this;return t?this.iterator("table",function(n,r){n.aaSorting=e[r].map(function(s){return[s,t]})}):this.iterator("column",function(n,r){for(var s=zr(n),i=0,o=s.length;i<o;i++)if(s[i].col===r)return s[i].dir;return null},1)});Qt("columns().orderable()","column().orderable()",function(t){return this.iterator("column",function(e,n){var r=e.aoColumns[n];return t?r.asSorting:r.bSortable},1)});It("processing()",function(t){return this.iterator("table",function(e){ke(e,t)})});It("search()",function(t,e,n,r){var s=this.context;return t===void 0?s.length!==0?s[0].oPreviousSearch.search:void 0:this.iterator("table",function(i){i.oFeatures.bFilter&&(typeof e=="object"?tr(i,H.extend(i.oPreviousSearch,e,{search:t})):tr(i,H.extend(i.oPreviousSearch,{search:t,regex:e===null?!1:e,smart:n===null?!0:n,caseInsensitive:r===null?!0:r})))})});It("search.fixed()",function(t,e){var n=this.iterator(!0,"table",function(r){var s=r.searchFixed;if(t){if(e===void 0)return s[t];e===null?delete s[t]:s[t]=e}else return Object.keys(s);return this});return t!==void 0&&e===void 0?n[0]:n});Qt("columns().search()","column().search()",function(t,e,n,r){return this.iterator("column",function(s,i){var o=s.aoPreSearchCols;if(t===void 0)return o[i].search;s.oFeatures.bFilter&&(typeof e=="object"?H.extend(o[i],e,{search:t}):H.extend(o[i],{search:t,regex:e===null?!1:e,smart:n===null?!0:n,caseInsensitive:r===null?!0:r}),tr(s,s.oPreviousSearch))})});It(["columns().search.fixed()","column().search.fixed()"],function(t,e){var n=this.iterator(!0,"column",function(r,s){var i=r.aoColumns[s].searchFixed;if(t){if(e===void 0)return i[t];e===null?delete i[t]:i[t]=e}else return Object.keys(i);return this});return t!==void 0&&e===void 0?n[0]:n});It("state()",function(t,e){if(!t)return this.context.length?this.context[0].oSavedState:null;var n=H.extend(!0,{},t);return this.iterator("table",function(r){e!==!1&&(n.time=+new Date+100),ki(r,n,function(){})})});It("state.clear()",function(){return this.iterator("table",function(t){t.fnStateSaveCallback.call(t.oInstance,t,{})})});It("state.loaded()",function(){return this.context.length?this.context[0].oLoadedState:null});It("state.save()",function(){return this.iterator("table",function(t){jr(t)})});bt.use=function(t,e){var n=typeof t=="string"?e:t,r=typeof e=="string"?e:t;if(n===void 0&&typeof r=="string")switch(r){case"lib":case"jq":return H;case"win":return window;case"datetime":return bt.DateTime;case"luxon":return dn;case"moment":return wn;default:return null}r==="lib"||r==="jq"||n&&n.fn&&n.fn.jquery?H=n:r=="win"||n&&n.document?(window=n,document=n.document):r==="datetime"||n&&n.type==="DateTime"?bt.DateTime=n:r==="luxon"||n&&n.FixedOffsetZone?dn=n:(r==="moment"||n&&n.isMoment)&&(wn=n)};bt.factory=function(t,e){var n=!1;return t&&t.document&&(window=t,document=t.document),e&&e.fn&&e.fn.jquery&&(H=e,n=!0),n};bt.versionCheck=function(t,e){for(var n=e?e.split("."):bt.version.split("."),r=t.split("."),s,i,o=0,u=r.length;o<u;o++)if(s=parseInt(n[o],10)||0,i=parseInt(r[o],10)||0,s!==i)return s>i;return!0};bt.isDataTable=function(t){var e=H(t).get(0),n=!1;return t instanceof bt.Api?!0:(H.each(bt.settings,function(r,s){var i=s.nScrollHead?H("table",s.nScrollHead)[0]:null,o=s.nScrollFoot?H("table",s.nScrollFoot)[0]:null;(s.nTable===e||i===e||o===e)&&(n=!0)}),n)};bt.tables=function(t){var e=!1;H.isPlainObject(t)&&(e=t.api,t=t.visible);var n=bt.settings.filter(function(r){return!!(!t||t&&H(r.nTable).is(":visible"))}).map(function(r){return r.nTable});return e?new Wt(n):n};bt.camelToHungarian=sn;It("$()",function(t,e){var n=this.rows(e).nodes(),r=H(n);return H([].concat(r.filter(t).toArray(),r.find(t).toArray()))});H.each(["on","one","off"],function(t,e){It(e+"()",function(){var n=Array.prototype.slice.call(arguments);n[0]=n[0].split(/\s/).map(function(s){return s.match(/\.dt\b/)?s:s+".dt"}).join(" ");var r=H(this.tables().nodes());return r[e].apply(r,n),this})});It("clear()",function(){return this.iterator("table",function(t){Oi(t)})});It("error()",function(t){return this.iterator("table",function(e){Oe(e,0,t)})});It("settings()",function(){return new Wt(this.context,this.context)});It("init()",function(){var t=this.context;return t.length?t[0].oInit:null});It("data()",function(){return this.iterator("table",function(t){return Ce(t.aoData,"_aData")}).flatten()});It("trigger()",function(t,e,n){return this.iterator("table",function(r){return Zt(r,null,t,e,n)}).flatten()});It("ready()",function(t){var e=this.context;return t?this.tables().every(function(){this.context[0]._bInitComplete?t.call(this):this.on("init",function(){t.call(this)})}):e.length?e[0]._bInitComplete||!1:null});It("destroy()",function(t){return t=t||!1,this.iterator("table",function(e){var n=e.oClasses,r=e.nTable,s=e.nTBody,i=e.nTHead,o=e.nTFoot,u=H(r),p=H(s),b=H(e.nTableWrapper),g=e.aoData.map(function(c){return c?c.nTr:null}),m=n.order;e.bDestroying=!0,Zt(e,"aoDestroyCallback","destroy",[e],!0),t||new Wt(e).columns().visible(!0),b.off(".DT").find(":not(tbody *)").off(".DT"),H(window).off(".DT-"+e.sInstance),r!=i.parentNode&&(u.children("thead").detach(),u.append(i)),o&&r!=o.parentNode&&(u.children("tfoot").detach(),u.append(o)),e.colgroup.remove(),e.aaSorting=[],e.aaSortingFixed=[],Ti(e),H("th, td",i).removeClass(m.canAsc+" "+m.canDesc+" "+m.isAsc+" "+m.isDesc).css("width",""),p.children().detach(),p.append(g);var C=e.nTableWrapper.parentNode,y=e.nTableWrapper.nextSibling,T=t?"remove":"detach";u[T](),b[T](),!t&&C&&(C.insertBefore(r,y),u.css("width",e.sDestroyWidth).removeClass(n.table));var P=bt.settings.indexOf(e);P!==-1&&bt.settings.splice(P,1)})});H.each(["column","row","cell"],function(t,e){It(e+"s().every()",function(n){var r=this.selector.opts,s=this,i,o=0;return this.iterator("every",function(u,p,b){i=s[e](p,r),e==="cell"?n.call(i,i[0][0].row,i[0][0].column,b,o):n.call(i,p,b,o),o++})})});It("i18n()",function(t,e,n){var r=this.context[0],s=En(t)(r.oLanguage);return s===void 0&&(s=e),H.isPlainObject(s)&&(s=n!==void 0&&s[n]!==void 0?s[n]:s._),typeof s=="string"?s.replace("%d",n):s});bt.version="2.1.6";bt.settings=[];bt.models={};bt.models.oSearch={caseInsensitive:!0,search:"",regex:!1,smart:!0,return:!1};bt.models.oRow={nTr:null,anCells:null,_aData:[],_aSortData:null,_aFilterData:null,_sFilterRow:null,src:null,idx:-1,displayData:null};bt.models.oColumn={idx:null,aDataSort:null,asSorting:null,bSearchable:null,bSortable:null,bVisible:null,_sManualType:null,_bAttrSrc:!1,fnCreatedCell:null,fnGetData:null,fnSetData:null,mData:null,mRender:null,sClass:null,sContentPadding:null,sDefaultContent:null,sName:null,sSortDataType:"std",sSortingClass:null,sTitle:null,sType:null,sWidth:null,sWidthOrig:null,maxLenString:null,searchFixed:null};bt.defaults={aaData:null,aaSorting:[[0,"asc"]],aaSortingFixed:[],ajax:null,aLengthMenu:[10,25,50,100],aoColumns:null,aoColumnDefs:null,aoSearchCols:[],bAutoWidth:!0,bDeferRender:!0,bDestroy:!1,bFilter:!0,bInfo:!0,bLengthChange:!0,bPaginate:!0,bProcessing:!1,bRetrieve:!1,bScrollCollapse:!1,bServerSide:!1,bSort:!0,bSortMulti:!0,bSortCellsTop:null,bSortClasses:!0,bStateSave:!1,fnCreatedRow:null,fnDrawCallback:null,fnFooterCallback:null,fnFormatNumber:function(t){return t.toString().replace(/\B(?=(\d{3})+(?!\d))/g,this.oLanguage.sThousands)},fnHeaderCallback:null,fnInfoCallback:null,fnInitComplete:null,fnPreDrawCallback:null,fnRowCallback:null,fnStateLoadCallback:function(t){try{return JSON.parse((t.iStateDuration===-1?sessionStorage:localStorage).getItem("DataTables_"+t.sInstance+"_"+location.pathname))}catch{return{}}},fnStateLoadParams:null,fnStateLoaded:null,fnStateSaveCallback:function(t,e){try{(t.iStateDuration===-1?sessionStorage:localStorage).setItem("DataTables_"+t.sInstance+"_"+location.pathname,JSON.stringify(e))}catch{}},fnStateSaveParams:null,iStateDuration:7200,iDisplayLength:10,iDisplayStart:0,iTabIndex:0,oClasses:{},oLanguage:{oAria:{orderable:": Activate to sort",orderableReverse:": Activate to invert sorting",orderableRemove:": Activate to remove sorting",paginate:{first:"First",last:"Last",next:"Next",previous:"Previous",number:""}},oPaginate:{sFirst:"\xAB",sLast:"\xBB",sNext:"\u203A",sPrevious:"\u2039"},entries:{_:"entries",1:"entry"},sEmptyTable:"No data available in table",sInfo:"Showing _START_ to _END_ of _TOTAL_ _ENTRIES-TOTAL_",sInfoEmpty:"Showing 0 to 0 of 0 _ENTRIES-TOTAL_",sInfoFiltered:"(filtered from _MAX_ total _ENTRIES-MAX_)",sInfoPostFix:"",sDecimal:"",sThousands:",",sLengthMenu:"_MENU_ _ENTRIES_ per page",sLoadingRecords:"Loading...",sProcessing:"",sSearch:"Search:",sSearchPlaceholder:"",sUrl:"",sZeroRecords:"No matching records found"},orderDescReverse:!0,oSearch:H.extend({},bt.models.oSearch),layout:{topStart:"pageLength",topEnd:"search",bottomStart:"info",bottomEnd:"paging"},sDom:null,searchDelay:null,sPaginationType:"",sScrollX:"",sScrollXInner:"",sScrollY:"",sServerMethod:"GET",renderer:null,rowId:"DT_RowId",caption:null,iDeferLoading:null};Nr(bt.defaults);bt.defaults.column={aDataSort:null,iDataSort:-1,ariaTitle:"",asSorting:["asc","desc",""],bSearchable:!0,bSortable:!0,bVisible:!0,fnCreatedCell:null,mData:null,mRender:null,sCellType:"td",sClass:"",sContentPadding:"",sDefaultContent:null,sName:"",sSortDataType:"std",sTitle:null,sType:null,sWidth:null};Nr(bt.defaults.column);bt.models.oSettings={oFeatures:{bAutoWidth:null,bDeferRender:null,bFilter:null,bInfo:!0,bLengthChange:!0,bPaginate:null,bProcessing:null,bServerSide:null,bSort:null,bSortMulti:null,bSortClasses:null,bStateSave:null},oScroll:{bCollapse:null,iBarWidth:0,sX:null,sXInner:null,sY:null},oLanguage:{fnInfoCallback:null},oBrowser:{bScrollbarLeft:!1,barWidth:0},ajax:null,aanFeatures:[],aoData:[],aiDisplay:[],aiDisplayMaster:[],aIds:{},aoColumns:[],aoHeader:[],aoFooter:[],oPreviousSearch:{},searchFixed:{},aoPreSearchCols:[],aaSorting:null,aaSortingFixed:[],sDestroyWidth:0,aoRowCallback:[],aoHeaderCallback:[],aoFooterCallback:[],aoDrawCallback:[],aoRowCreatedCallback:[],aoPreDrawCallback:[],aoInitComplete:[],aoStateSaveParams:[],aoStateLoadParams:[],aoStateLoaded:[],sTableId:"",nTable:null,nTHead:null,nTFoot:null,nTBody:null,nTableWrapper:null,bInitialised:!1,aoOpenRows:[],sDom:null,searchDelay:null,sPaginationType:"two_button",pagingControls:0,iStateDuration:0,aoStateSave:[],aoStateLoad:[],oSavedState:null,oLoadedState:null,bAjaxDataGet:!0,jqXHR:null,json:void 0,oAjaxData:void 0,sServerMethod:null,fnFormatNumber:null,aLengthMenu:null,iDraw:0,bDrawing:!1,iDrawError:-1,_iDisplayLength:10,_iDisplayStart:0,_iRecordsTotal:0,_iRecordsDisplay:0,oClasses:{},bFiltered:!1,bSorted:!1,bSortCellsTop:null,oInit:null,aoDestroyCallback:[],fnRecordsTotal:function(){return Ee(this)=="ssp"?this._iRecordsTotal*1:this.aiDisplayMaster.length},fnRecordsDisplay:function(){return Ee(this)=="ssp"?this._iRecordsDisplay*1:this.aiDisplay.length},fnDisplayEnd:function(){var t=this._iDisplayLength,e=this._iDisplayStart,n=e+t,r=this.aiDisplay.length,s=this.oFeatures,i=s.bPaginate;return s.bServerSide?i===!1||t===-1?e+r:Math.min(e+t,this._iRecordsDisplay):!i||n>r||t===-1?r:n},oInstance:null,sInstance:null,iTabIndex:0,nScrollHead:null,nScrollFoot:null,aLastSort:[],oPlugins:{},rowIdFn:null,rowId:null,caption:"",captionNode:null,colgroup:null,deferLoading:null,typeDetect:!0};var zl=bt.ext.pager;H.extend(zl,{simple:function(){return["previous","next"]},full:function(){return["first","previous","next","last"]},numbers:function(){return["numbers"]},simple_numbers:function(){return["previous","numbers","next"]},full_numbers:function(){return["first","previous","numbers","next","last"]},first_last:function(){return["first","last"]},first_last_numbers:function(){return["first","numbers","last"]},_numbers:Ss,numbers_length:7});H.extend(!0,bt.ext.renderer,{pagingButton:{_:function(t,e,n,r,s){var i=t.oClasses.paging,o=[i.button],u;return r&&o.push(i.active),s&&o.push(i.disabled),e==="ellipsis"?u=H('<span class="ellipsis"></span>').html(n)[0]:u=H("<button>",{class:o.join(" "),role:"link",type:"button"}).html(n),{display:u,clicker:u}}},pagingContainer:{_:function(t,e){return e}}});var ir=function(t,e){return function(n){return He(n)||typeof n!="string"||(n=n.replace(Jo," "),t&&(n=gn(n)),e&&(n=Dr(n,!1))),n}};function Ya(t,e,n,r,s){return wn?t[e](s):dn?t[n](s):r?t[r](s):t}var $a=!1,dn,wn;function jl(){window.luxon&&!dn&&(dn=window.luxon),window.moment&&!wn&&(wn=window.moment)}function Br(t,e,n){var r;if(jl(),wn){if(r=wn.utc(t,e,n,!0),!r.isValid())return null}else if(dn){if(r=e&&typeof t=="string"?dn.DateTime.fromFormat(t,e):dn.DateTime.fromISO(t),!r.isValid)return null;r.setLocale(n)}else e?($a||alert("DataTables warning: Formatted date without Moment.js or Luxon - https://datatables.net/tn/17"),$a=!0):r=new Date(t);return r}function gi(t){return function(e,n,r,s){arguments.length===0?(r="en",n=null,e=null):arguments.length===1?(r="en",n=e,e=null):arguments.length===2&&(r=n,n=e,e=null);var i="datetime"+(n?"-"+n:"");return bt.ext.type.order[i]||bt.type(i,{detect:function(o){return o===i?i:!1},order:{pre:function(o){return o.valueOf()}},className:"dt-right"}),function(o,u){if(o==null)if(s==="--now"){var p=new Date;o=new Date(Date.UTC(p.getFullYear(),p.getMonth(),p.getDate(),p.getHours(),p.getMinutes(),p.getSeconds()))}else o="";if(u==="type")return i;if(o==="")return u!=="sort"?"":Br("0000-01-01 00:00:00",null,r);if(n!==null&&e===n&&u!=="sort"&&u!=="type"&&!(o instanceof Date))return o;var b=Br(o,e,r);if(b===null)return o;if(u==="sort")return b;var g=n===null?Ya(b,"toDate","toJSDate","")[t]():Ya(b,"format","toFormat","toISOString",n);return u==="display"?Nn(g):g}}}var Cs=",",Ts=".";if(window.Intl!==void 0)try{for(Bn=new Intl.NumberFormat().formatToParts(100000.1),Ne=0;Ne<Bn.length;Ne++)Bn[Ne].type==="group"?Cs=Bn[Ne].value:Bn[Ne].type==="decimal"&&(Ts=Bn[Ne].value)}catch{}var Bn,Ne;bt.datetime=function(t,e){var n="datetime-"+t;e||(e="en"),bt.ext.type.order[n]||bt.type(n,{detect:function(r){var s=Br(r,t,e);return r===""||s?n:!1},order:{pre:function(r){return Br(r,t,e)||0}},className:"dt-right"})};bt.render={date:gi("toLocaleDateString"),datetime:gi("toLocaleString"),time:gi("toLocaleTimeString"),number:function(t,e,n,r,s){return t==null&&(t=Cs),e==null&&(e=Ts),{display:function(i){if(typeof i!="number"&&typeof i!="string"||i===""||i===null)return i;var o=i<0?"-":"",u=parseFloat(i),p=Math.abs(u);if(p>=1e11||p<1e-4&&p!==0){var b=u.toExponential(n).split(/e\+?/);return b[0]+" x 10<sup>"+b[1]+"</sup>"}if(isNaN(u))return Nn(i);u=u.toFixed(n),i=Math.abs(u);var g=parseInt(i,10),m=n?e+(i-g).toFixed(n).substring(2):"";return g===0&&parseFloat(m)===0&&(o=""),o+(r||"")+g.toString().replace(/\B(?=(\d{3})+(?!\d))/g,t)+m+(s||"")}}},text:function(){return{display:Nn,filter:Nn}}};var me=bt.ext.type;bt.type=function(t,e,n){if(!e)return{className:me.className[t],detect:me.detect.find(function(o){return o.name===t}),order:{pre:me.order[t+"-pre"],asc:me.order[t+"-asc"],desc:me.order[t+"-desc"]},render:me.render[t],search:me.search[t]};var r=function(o,u){me[o][t]=u},s=function(o){Object.defineProperty(o,"name",{value:t});var u=me.detect.findIndex(function(p){return p.name===t});u===-1?me.detect.unshift(o):me.detect.splice(u,1,o)},i=function(o){me.order[t+"-pre"]=o.pre,me.order[t+"-asc"]=o.asc,me.order[t+"-desc"]=o.desc};n===void 0&&(n=e,e=null),e==="className"?r("className",n):e==="detect"?s(n):e==="order"?i(n):e==="render"?r("render",n):e==="search"?r("search",n):e||(n.className&&r("className",n.className),n.detect!==void 0&&s(n.detect),n.order&&i(n.order),n.render!==void 0&&r("render",n.render),n.search!==void 0&&r("search",n.search))};bt.types=function(){return me.detect.map(function(t){return t.name})};var Za=function(t,e){return t=t.toString().toLowerCase(),e=e.toString().toLowerCase(),t.localeCompare(e,navigator.languages[0]||navigator.language,{numeric:!0,ignorePunctuation:!0})};bt.type("string",{detect:function(){return"string"},order:{pre:function(t){return He(t)&&typeof t!="boolean"?"":typeof t=="string"?t.toLowerCase():t.toString?t.toString():""}},search:ir(!1,!0)});bt.type("string-utf8",{detect:{allOf:function(t){return!0},oneOf:function(t){return!He(t)&&navigator.languages&&typeof t=="string"&&t.match(/[^\x00-\x7F]/)}},order:{asc:Za,desc:function(t,e){return Za(t,e)*-1}},search:ir(!1,!0)});bt.type("html",{detect:{allOf:function(t){return He(t)||typeof t=="string"&&t.indexOf("<")!==-1},oneOf:function(t){return!He(t)&&typeof t=="string"&&t.indexOf("<")!==-1}},order:{pre:function(t){return He(t)?"":t.replace?gn(t).trim().toLowerCase():t+""}},search:ir(!0,!0)});bt.type("date",{className:"dt-type-date",detect:{allOf:function(t){if(t&&!(t instanceof Date)&&!za.test(t))return null;var e=Date.parse(t);return e!==null&&!isNaN(e)||He(t)},oneOf:function(t){return t instanceof Date||typeof t=="string"&&za.test(t)}},order:{pre:function(t){var e=Date.parse(t);return isNaN(e)?-1/0:e}}});bt.type("html-num-fmt",{className:"dt-type-numeric",detect:{allOf:function(t,e){var n=e.oLanguage.sDecimal;return Sr(t,n,!0,!1)},oneOf:function(t,e){var n=e.oLanguage.sDecimal;return Sr(t,n,!0,!1)}},order:{pre:function(t,e){var n=e.oLanguage.sDecimal;return Hr(t,n,Si,Di)}},search:ir(!0,!0)});bt.type("html-num",{className:"dt-type-numeric",detect:{allOf:function(t,e){var n=e.oLanguage.sDecimal;return Sr(t,n,!1,!0)},oneOf:function(t,e){var n=e.oLanguage.sDecimal;return Sr(t,n,!1,!1)}},order:{pre:function(t,e){var n=e.oLanguage.sDecimal;return Hr(t,n,Si)}},search:ir(!0,!0)});bt.type("num-fmt",{className:"dt-type-numeric",detect:{allOf:function(t,e){var n=e.oLanguage.sDecimal;return Qn(t,n,!0,!0)},oneOf:function(t,e){var n=e.oLanguage.sDecimal;return Qn(t,n,!0,!1)}},order:{pre:function(t,e){var n=e.oLanguage.sDecimal;return Hr(t,n,Di)}}});bt.type("num",{className:"dt-type-numeric",detect:{allOf:function(t,e){var n=e.oLanguage.sDecimal;return Qn(t,n,!1,!0)},oneOf:function(t,e){var n=e.oLanguage.sDecimal;return Qn(t,n,!1,!1)}},order:{pre:function(t,e){var n=e.oLanguage.sDecimal;return Hr(t,n)}}});var Hr=function(t,e,n,r){if(t!==0&&(!t||t==="-"))return-1/0;var s=typeof t;return s==="number"||s==="bigint"?t:(e&&(t=Qa(t,e)),t.replace&&(n&&(t=t.replace(n,"")),r&&(t=t.replace(r,""))),t*1)};H.extend(!0,bt.ext.renderer,{footer:{_:function(t,e,n){e.addClass(n.tfoot.cell)}},header:{_:function(t,e,n){e.addClass(n.thead.cell),t.oFeatures.bSort||e.addClass(n.order.none);var r=t.bSortCellsTop,s=e.closest("thead").find("tr"),i=e.parent().index();e.attr("data-dt-order")==="disable"||e.parent().attr("data-dt-order")==="disable"||r===!0&&i!==0||r===!1&&i!==s.length-1||H(t.nTable).on("order.dt.DT column-visibility.dt.DT",function(o,u){if(t===u){var p=u.sortDetails;if(p){var b,g=n.order,m=u.api.columns(e),C=t.aoColumns[m.flatten()[0]],y=m.orderable().includes(!0),T="",P=m.indexes(),c=m.orderable(!0).flatten(),l=Ce(p,"col");e.removeClass(g.isAsc+" "+g.isDesc).toggleClass(g.none,!y).toggleClass(g.canAsc,y&&c.includes("asc")).toggleClass(g.canDesc,y&&c.includes("desc"));var h=!0;for(b=0;b<P.length;b++)l.includes(P[b])||(h=!1);if(h){var _=m.order();e.addClass(_.includes("asc")?g.isAsc:""+_.includes("desc")?g.isDesc:"")}var F=-1;for(b=0;b<l.length;b++)if(t.aoColumns[l[b]].bVisible){F=l[b];break}if(P[0]==F){var O=p[0],f=C.asSorting;e.attr("aria-sort",O.dir==="asc"?"ascending":"descending"),T=f[O.index+1]?"Reverse":"Remove"}else e.removeAttr("aria-sort");e.attr("aria-label",y?C.ariaTitle+u.api.i18n("oAria.orderable"+T):C.ariaTitle),y&&(e.find(".dt-column-title").attr("role","button"),e.attr("tabindex",0))}}})}},layout:{_:function(t,e,n){var r=t.oClasses.layout,s=H("<div/>").attr("id",n.id||null).addClass(n.className||r.row).appendTo(e);H.each(n,function(i,o){if(!(i==="id"||i==="className")){var u="";o.table&&(s.addClass(r.tableRow),u+=r.tableCell+" 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r=t._iDisplayStart+1,s=t.fnDisplayEnd(),i=t.fnRecordsTotal(),o=t.fnRecordsDisplay(),u=o?e.text:e.empty;o!==i&&(u+=" "+e.search),u+=e.postfix,u=ji(t,u),e.callback&&(u=e.callback.call(t.oInstance,t,r,s,i,o,u)),n.html(u),Zt(t,null,"info",[t,n[0],u])}var yi=0;bt.feature.register("search",function(t,e){if(!t.oFeatures.bFilter)return null;var n=t.oClasses.search,r=t.sTableId,s=t.oLanguage,i=t.oPreviousSearch,o='<input type="search" class="'+n.input+'"/>';e=H.extend({placeholder:s.sSearchPlaceholder,processing:!1,text:s.sSearch},e),e.text.indexOf("_INPUT_")===-1&&(e.text+="_INPUT_"),e.text=ji(t,e.text);var u=e.text.match(/_INPUT_$/),p=e.text.match(/^_INPUT_/),b=e.text.replace(/_INPUT_/,""),g="<label>"+e.text+"</label>";p?g="_INPUT_<label>"+b+"</label>":u&&(g="<label>"+b+"</label>_INPUT_");var m=H("<div>").addClass(n.container).append(g.replace(/_INPUT_/,o));m.find("label").attr("for","dt-search-"+yi),m.find("input").attr("id","dt-search-"+yi),yi++;var C=function(P){var c=this.value;i.return&&P.key!=="Enter"||c!=i.search&&us(t,e.processing,function(){i.search=c,tr(t,i),t._iDisplayStart=0,Ln(t)})},y=t.searchDelay!==null?t.searchDelay:0,T=H("input",m).val(i.search).attr("placeholder",e.placeholder).on("keyup.DT search.DT input.DT paste.DT cut.DT",y?bt.util.debounce(C,y):C).on("mouseup.DT",function(P){setTimeout(function(){C.call(T[0],P)},10)}).on("keypress.DT",function(P){if(P.keyCode==13)return!1}).attr("aria-controls",r);return H(t.nTable).on("search.dt.DT",function(P,c){t===c&&T[0]!==document.activeElement&&T.val(typeof i.search!="function"?i.search:"")}),m},"f");bt.feature.register("paging",function(t,e){if(!t.oFeatures.bPaginate)return null;e=H.extend({buttons:bt.ext.pager.numbers_length,type:t.sPaginationType,boundaryNumbers:!0,firstLast:!0,previousNext:!0,numbers:!0},e);var n=H("<div/>").addClass(t.oClasses.paging.container+(e.type?" 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T=="string"?s[T]:s.number?s.number+(T+1):null;H(c.clicker).attr({"aria-controls":t.sTableId,"aria-disabled":P.disabled?"true":null,"aria-current":P.active?"page":null,"aria-label":l,"data-dt-idx":T,tabIndex:P.disabled?-1:t.iTabIndex?t.iTabIndex:null}),typeof T!="number"&&H(c.clicker).addClass(T),ms(c.clicker,{action:T},function(F){F.preventDefault(),Li(t,F.data.action,!0)}),C.push(c.display)}var h=Fr(t,"pagingContainer")(t,C),_=e.find(document.activeElement).data("dt-idx");e.empty().append(h),_!==void 0&&e.find("[data-dt-idx="+_+"]").trigger("focus"),C.length&&n.buttons>1&&H(e).height()>=H(C[0]).outerHeight()*2-10&&ks(t,e,H.extend({},n,{buttons:n.buttons-2}))}}function Hl(t,e,n,r){var s=t.oLanguage.oPaginate,i={display:"",active:!1,disabled:!1};switch(e){case"ellipsis":i.display="&#x2026;",i.disabled=!0;break;case"first":i.display=s.sFirst,n===0&&(i.disabled=!0);break;case"previous":i.display=s.sPrevious,n===0&&(i.disabled=!0);break;case"next":i.display=s.sNext,(r===0||n===r-1)&&(i.disabled=!0);break;case"last":i.display=s.sLast,(r===0||n===r-1)&&(i.disabled=!0);break;default:typeof e=="number"&&(i.display=t.fnFormatNumber(e+1),n===e&&(i.active=!0));break}return i}function Ss(t,e,n,r){var s=[],i=Math.floor(n/2),o=r?2:1,u=r?1:0;return e<=n?s=an(0,e):n===1?s=[t]:n===3?t<=1?s=[0,1,"ellipsis"]:t>=e-2?(s=an(e-2,e),s.unshift("ellipsis")):s=["ellipsis",t,"ellipsis"]:t<=i?(s=an(0,n-o),s.push("ellipsis"),r&&s.push(e-1)):t>=e-1-i?(s=an(e-(n-o),e),s.unshift("ellipsis"),r&&s.unshift(0)):(s=an(t-i+o,t+i-u),s.push("ellipsis"),s.unshift("ellipsis"),r&&(s.push(e-1),s.unshift(0))),s}var wi=0;bt.feature.register("pageLength",function(t,e){var n=t.oFeatures;if(!n.bPaginate||!n.bLengthChange)return null;e=H.extend({menu:t.aLengthMenu,text:t.oLanguage.sLengthMenu},e);var r=t.oClasses.length,s=t.sTableId,i=e.menu,o=[],u=[],p;if(Array.isArray(i[0]))o=i[0],u=i[1];else for(p=0;p<i.length;p++)H.isPlainObject(i[p])?(o.push(i[p].value),u.push(i[p].label)):(o.push(i[p]),u.push(i[p]));var b=e.text.match(/_MENU_$/),g=e.text.match(/^_MENU_/),m=e.text.replace(/_MENU_/,""),C="<label>"+e.text+"</label>";g?C="_MENU_<label>"+m+"</label>":b&&(C="<label>"+m+"</label>_MENU_");var y="tmp-"+ +new Date,T=H("<div/>").addClass(r.container).append(C.replace("_MENU_",'<span id="'+y+'"></span>')),P=[];T.find("label")[0].childNodes.forEach(function(h){h.nodeType===Node.TEXT_NODE&&P.push({el:h,text:h.textContent})});var c=function(h){P.forEach(function(_){_.el.textContent=ji(t,_.text,h)})},l=H("<select/>",{name:s+"_length","aria-controls":s,class:r.select});for(p=0;p<o.length;p++)l[0][p]=new Option(typeof u[p]=="number"?t.fnFormatNumber(u[p]):u[p],o[p]);return T.find("label").attr("for","dt-length-"+wi),l.attr("id","dt-length-"+wi),wi++,T.find("#"+y).replaceWith(l),H("select",T).val(t._iDisplayLength).on("change.DT",function(){ds(t,H(this).val()),Ln(t)}),H(t.nTable).on("length.dt.DT",function(h,_,F){t===_&&(H("select",T).val(F),c(F))}),c(t._iDisplayLength),T},"l");H.fn.dataTable=bt;bt.$=H;H.fn.dataTableSettings=bt.settings;H.fn.dataTableExt=bt.ext;H.fn.DataTable=function(t){return H(this).dataTable(t).api()};H.each(bt,function(t,e){H.fn.DataTable[t]=e});var at=bt;var Le=at;var $l=ie(ae(),1);var Ps=ie(ae(),1);var ht=Ps.default,Wl=0,Gl=0,Se=at.ext.buttons,qi=null;function Xi(t,e,n){ht.fn.animate?t.stop().fadeIn(e,n):(t.css("display","block"),n&&n.call(t))}function Yi(t,e,n){ht.fn.animate?t.stop().fadeOut(e,n):(t.css("display","none"),n&&n.call(t))}var te=function(t,e){if(!at.versionCheck("2"))throw"Warning: Buttons requires DataTables 2 or newer";if(!(this instanceof te))return function(n){return new te(n,t).container()};typeof e>"u"&&(e={}),e===!0&&(e={}),Array.isArray(e)&&(e={buttons:e}),this.c=ht.extend(!0,{},te.defaults,e),e.buttons&&(this.c.buttons=e.buttons),this.s={dt:new at.Api(t),buttons:[],listenKeys:"",namespace:"dtb"+Wl++},this.dom={container:ht("<"+this.c.dom.container.tag+"/>").addClass(this.c.dom.container.className)},this._constructor()};ht.extend(te.prototype,{action:function(t,e){var n=this._nodeToButton(t);return e===void 0?n.conf.action:(n.conf.action=e,this)},active:function(t,e){var n=this._nodeToButton(t),r=this.c.dom.button.active,s=ht(n.node);return n.inCollection&&this.c.dom.collection.button&&this.c.dom.collection.button.active!==void 0&&(r=this.c.dom.collection.button.active),e===void 0?s.hasClass(r):(s.toggleClass(r,e===void 0?!0:e),this)},add:function(t,e,n){var r=this.s.buttons;if(typeof e=="string"){for(var s=e.split("-"),i=this.s,o=0,u=s.length-1;o<u;o++)i=i.buttons[s[o]*1];r=i.buttons,e=s[s.length-1]*1}return this._expandButton(r,t,t!==void 0?t.split:void 0,(t===void 0||t.split===void 0||t.split.length===0)&&i!==void 0,!1,e),(n===void 0||n===!0)&&this._draw(),this},collectionRebuild:function(t,e){var n=this._nodeToButton(t);if(e!==void 0){var r;for(r=n.buttons.length-1;r>=0;r--)this.remove(n.buttons[r].node);for(n.conf.prefixButtons&&e.unshift.apply(e,n.conf.prefixButtons),n.conf.postfixButtons&&e.push.apply(e,n.conf.postfixButtons),r=0;r<e.length;r++){var s=e[r];this._expandButton(n.buttons,s,s!==void 0&&s.config!==void 0&&s.config.split!==void 0,!0,s.parentConf!==void 0&&s.parentConf.split!==void 0,null,s.parentConf)}}this._draw(n.collection,n.buttons)},container:function(){return this.dom.container},disable:function(t){var e=this._nodeToButton(t);return ht(e.node).addClass(this.c.dom.button.disabled).prop("disabled",!0),this},destroy:function(){ht("body").off("keyup."+this.s.namespace);var t=this.s.buttons.slice(),e,n;for(e=0,n=t.length;e<n;e++)this.remove(t[e].node);this.dom.container.remove();var r=this.s.dt.settings()[0];for(e=0,n=r.length;e<n;e++)if(r.inst===this){r.splice(e,1);break}return this},enable:function(t,e){if(e===!1)return this.disable(t);var n=this._nodeToButton(t);return ht(n.node).removeClass(this.c.dom.button.disabled).prop("disabled",!1),this},index:function(t,e,n){e||(e="",n=this.s.buttons);for(var r=0,s=n.length;r<s;r++){var i=n[r].buttons;if(n[r].node===t)return e+r;if(i&&i.length){var o=this.index(t,r+"-",i);if(o!==null)return o}}return null},name:function(){return this.c.name},node:function(t){if(!t)return this.dom.container;var e=this._nodeToButton(t);return ht(e.node)},processing:function(t,e){var n=this.s.dt,r=this._nodeToButton(t);return e===void 0?ht(r.node).hasClass("processing"):(ht(r.node).toggleClass("processing",e),ht(n.table().node()).triggerHandler("buttons-processing.dt",[e,n.button(t),n,ht(t),r.conf]),this)},remove:function(t){var e=this._nodeToButton(t),n=this._nodeToHost(t),r=this.s.dt;if(e.buttons.length)for(var s=e.buttons.length-1;s>=0;s--)this.remove(e.buttons[s].node);e.conf.destroying=!0,e.conf.destroy&&e.conf.destroy.call(r.button(t),r,ht(t),e.conf),this._removeKey(e.conf),ht(e.node).remove();var i=ht.inArray(e,n);return n.splice(i,1),this},text:function(t,e){var n=this._nodeToButton(t),r=n.textNode,s=this.s.dt,i=ht(n.node),o=function(u){return typeof u=="function"?u(s,i,n.conf):u};return e===void 0?o(n.conf.text):(n.conf.text=e,r.html(o(e)),this)},_constructor:function(){var t=this,e=this.s.dt,n=e.settings()[0],r=this.c.buttons;n._buttons||(n._buttons=[]),n._buttons.push({inst:this,name:this.c.name});for(var s=0,i=r.length;s<i;s++)this.add(r[s]);e.on("destroy",function(o,u){u===n&&t.destroy()}),ht("body").on("keyup."+this.s.namespace,function(o){if(!document.activeElement||document.activeElement===document.body){var u=String.fromCharCode(o.keyCode).toLowerCase();t.s.listenKeys.toLowerCase().indexOf(u)!==-1&&t._keypress(u,o)}})},_addKey:function(t){t.key&&(this.s.listenKeys+=ht.isPlainObject(t.key)?t.key.key:t.key)},_draw:function(t,e){t||(t=this.dom.container,e=this.s.buttons),t.children().detach();for(var n=0,r=e.length;n<r;n++)t.append(e[n].inserter),t.append(" "),e[n].buttons&&e[n].buttons.length&&this._draw(e[n].collection,e[n].buttons)},_expandButton:function(t,e,n,r,s,i,o){var u=this.s.dt,p=!1,b=this.c.dom.collection,g=Array.isArray(e)?e:[e];e===void 0&&(g=Array.isArray(n)?n:[n]);for(var m=0,C=g.length;m<C;m++){var y=this._resolveExtends(g[m]);if(y){if(p=!!(y.config&&y.config.split),Array.isArray(y)){this._expandButton(t,y,T!==void 0&&T.conf!==void 0?T.conf.split:void 0,r,o!==void 0&&o.split!==void 0,i,o);continue}var T=this._buildButton(y,r,y.split!==void 0||y.config!==void 0&&y.config.split!==void 0,s);if(T){if(i!=null?(t.splice(i,0,T),i++):t.push(T),T.conf.buttons&&(T.collection=ht("<"+b.container.content.tag+"/>"),T.conf._collection=T.collection,ht(T.node).append(b.action.dropHtml),this._expandButton(T.buttons,T.conf.buttons,T.conf.split,!p,p,i,T.conf)),T.conf.split){T.collection=ht("<"+b.container.tag+"/>"),T.conf._collection=T.collection;for(var P=0;P<T.conf.split.length;P++){var c=T.conf.split[P];typeof c=="object"&&(c.parent=o,c.collectionLayout===void 0&&(c.collectionLayout=T.conf.collectionLayout),c.dropup===void 0&&(c.dropup=T.conf.dropup),c.fade===void 0&&(c.fade=T.conf.fade))}this._expandButton(T.buttons,T.conf.buttons,T.conf.split,!p,p,i,T.conf)}T.conf.parent=o,y.init&&y.init.call(u.button(T.node),u,ht(T.node),y)}}}},_buildButton:function(t,e,n,r){var s=this,i=this.c.dom,o,u=this.s.dt,p=function(Q){return typeof Q=="function"?Q(u,m,t):Q},b=ht.extend(!0,{},i.button);if(e&&n&&i.collection.split?ht.extend(!0,b,i.collection.split.action):r||e?ht.extend(!0,b,i.collection.button):n&&ht.extend(!0,b,i.split.button),t.spacer){var g=ht("<"+b.spacer.tag+"/>").addClass("dt-button-spacer "+t.style+" "+b.spacer.className).html(p(t.text));return{conf:t,node:g,inserter:g,buttons:[],inCollection:e,isSplit:n,collection:null,textNode:g}}if(t.available&&!t.available(u,t)&&!t.html)return!1;var m;if(t.html)m=ht(t.html);else{var C=function(Q,E,$,w,k){w.action.call(E.button($),Q,E,$,w,k),ht(E.table().node()).triggerHandler("buttons-action.dt",[E.button($),E,$,w])},y=function(Q,E,$,w){w.async?(s.processing($[0],!0),setTimeout(function(){C(Q,E,$,w,function(){s.processing($[0],!1)})},w.async)):C(Q,E,$,w,function(){})},T=t.tag||b.tag,P=t.clickBlurs===void 0?!0:t.clickBlurs;if(m=ht("<"+T+"/>").addClass(b.className).attr("tabindex",this.s.dt.settings()[0].iTabIndex).attr("aria-controls",this.s.dt.table().node().id).on("click.dtb",function(Q){Q.preventDefault(),!m.hasClass(b.disabled)&&t.action&&y(Q,u,m,t),P&&m.trigger("blur")}).on("keypress.dtb",function(Q){Q.keyCode===13&&(Q.preventDefault(),!m.hasClass(b.disabled)&&t.action&&y(Q,u,m,t))}),T.toLowerCase()==="a"&&m.attr("href","#"),T.toLowerCase()==="button"&&m.attr("type","button"),b.liner.tag){var c=ht("<"+b.liner.tag+"/>").html(p(t.text)).addClass(b.liner.className);b.liner.tag.toLowerCase()==="a"&&c.attr("href","#"),m.append(c),o=c}else m.html(p(t.text)),o=m;t.enabled===!1&&m.addClass(b.disabled),t.className&&m.addClass(t.className),t.titleAttr&&m.attr("title",p(t.titleAttr)),t.attr&&m.attr(t.attr),t.namespace||(t.namespace=".dt-button-"+Gl++),t.config!==void 0&&t.config.split&&(t.split=t.config.split)}var l=this.c.dom.buttonContainer,h;l&&l.tag?h=ht("<"+l.tag+"/>").addClass(l.className).append(m):h=m,this._addKey(t),this.c.buttonCreated&&(h=this.c.buttonCreated(t,h));var _;if(n){var F=e?ht.extend(!0,this.c.dom.split,this.c.dom.collection.split):this.c.dom.split,O=F.wrapper;_=ht("<"+O.tag+"/>").addClass(O.className).append(m);var f=ht.extend(t,{align:F.dropdown.align,attr:{"aria-haspopup":"dialog","aria-expanded":!1},className:F.dropdown.className,closeButton:!1,splitAlignClass:F.dropdown.splitAlignClass,text:F.dropdown.text});this._addKey(f);var U=function(Q,E,$,w){Se.split.action.call(E.button(_),Q,E,$,w),ht(E.table().node()).triggerHandler("buttons-action.dt",[E.button($),E,$,w]),$.attr("aria-expanded",!0)},X=ht('<button class="'+F.dropdown.className+' 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g+m},0)},o.version="5.0.0",o.classes={bottomBlocker:"dtfc-bottom-blocker",fixedEnd:"dtfc-fixed-end",fixedLeft:"dtfc-fixed-left",fixedRight:"dtfc-fixed-right",fixedStart:"dtfc-fixed-start",tableFixedEnd:"dtfc-has-end",tableFixedLeft:"dtfc-has-left",tableFixedRight:"dtfc-has-right",tableFixedStart:"dtfc-has-start",tableScrollingEnd:"dtfc-scrolling-end",tableScrollingLeft:"dtfc-scrolling-left",tableScrollingRight:"dtfc-scrolling-right",tableScrollingStart:"dtfc-scrolling-start",topBlocker:"dtfc-top-blocker"},o.defaults={i18n:{button:"FixedColumns"},start:1,end:0},o}();n(un),un.fn.dataTable.FixedColumns=r,un.fn.DataTable.FixedColumns=r;var s=at.Api.register;s("fixedColumns()",function(){return this}),s("fixedColumns().start()",function(o){var u=this.context[0];return o!==void 0?(u._fixedColumns.start(o),this):u._fixedColumns.start()}),s("fixedColumns().end()",function(o){var u=this.context[0];return o!==void 0?(u._fixedColumns.end(o),this):u._fixedColumns.end()}),s("fixedColumns().left()",function(o){var u=this.context[0];return o!==void 0?(u._fixedColumns.left(o),this):u._fixedColumns.left()}),s("fixedColumns().right()",function(o){var u=this.context[0];return o!==void 0?(u._fixedColumns.right(o),this):u._fixedColumns.right()}),at.ext.buttons.fixedColumns={action:function(o,u,p,b){un(p).attr("active")?(un(p).removeAttr("active").removeClass("active"),u.fixedColumns().start(0),u.fixedColumns().end(0)):(un(p).attr("active","true").addClass("active"),u.fixedColumns().start(b.config.start),u.fixedColumns().end(b.config.end))},config:{start:1,end:0},init:function(o,u,p){o.settings()[0]._fixedColumns===void 0&&i(o.settings(),p),un(u).attr("active","true").addClass("active"),o.button(u).text(p.text||o.i18n("buttons.fixedColumns",o.settings()[0]._fixedColumns.c.i18n.button))},text:null};function i(o,u){u===void 0&&(u=null);var p=new at.Api(o),b=u||p.init().fixedColumns||at.defaults.fixedColumns,g=new r(p,b);return g}un(document).on("plugin-init.dt",function(o,u){o.namespace==="dt"&&(u.oInit.fixedColumns||at.defaults.fixedColumns)&&(u._fixedColumns||i(u,null))})})();var nd=ie(ae(),1);var qs=ie(ae(),1);var jt=qs.default,td=0,ed=0,_n=function(t,e){if(!at.versionCheck||!at.versionCheck("1.10.8"))throw"KeyTable requires DataTables 1.10.8 or newer";this.c=jt.extend(!0,{},at.defaults.keyTable,_n.defaults,e),this.s={dt:new at.Api(t),dtDrawing:!1,enable:!0,focusDraw:!1,waitingForDraw:!1,lastFocus:null,namespace:".keyTable-"+td++,tabInput:null},this.dom={};var n=this.s.dt.settings()[0],r=n.keytable;if(r)return r;n.keytable=this,this._constructor()};jt.extend(_n.prototype,{blur:function(){this._blur()},enable:function(t){this.s.enable=t},enabled:function(){return this.s.enable},focus:function(t,e){this._focus(this.s.dt.cell(t,e))},focused:function(t){var e=this.s.lastFocus;if(!e)return!1;var n=this.s.lastFocus.cell.index();return t.row===n.row&&t.column===n.column},_constructor:function(){this._tabInput();var t=this,e=this.s.dt,n=jt(e.table().node()),r=this.s.namespace,s=!1;if(n.css("position")==="static"&&n.css("position","relative"),jt(e.table().body()).on("click"+r,"th, td",function(u){if(t.s.enable!==!1){var p=e.cell(this);p.any()&&t._focus(p,null,!1,u)}}),jt(document).on("keydown"+r,function(u){!s&&!t.s.dtDrawing?t._key(u):u.preventDefault()}),this.c.blurable&&jt(document).on("mousedown"+r,function(u){jt(u.target).parents(".dataTables_filter, .dt-search").length&&t._blur(),!jt(u.target).parents().filter(e.table().container()).length&&(jt(u.target).parents("div.DTE").length||jt(u.target).parents("div.editor-datetime").length||jt(u.target).parents("div.dt-datetime").length||jt(u.target).parents().filter(".DTFC_Cloned").length||t._blur())}),this.c.editor){var i=this.c.editor;i.on("open.keyTableMain",function(u,p,b){p!=="inline"&&t.s.enable&&(t.enable(!1),i.one("close"+r,function(){t.enable(!0)}))}),this.c.editOnFocus&&e.on("key-focus"+r+" key-refocus"+r,function(u,p,b,g){t._editor(null,g,!0)}),e.on("key"+r,function(u,p,b,g,m){t._editor(b,m,!1)}),jt(e.table().body()).on("dblclick"+r,"th, td",function(u){if(t.s.enable!==!1){var p=e.cell(this);p.any()&&(t.s.lastFocus&&this!==t.s.lastFocus.cell.node()||t._editor(null,u,!0))}}),i.on("preSubmit",function(){s=!0}).on("preSubmitCancelled",function(){s=!1}).on("submitComplete",function(){s=!1})}e.on("stateSaveParams"+r,function(u,p,b){b.keyTable=t.s.lastFocus?t.s.lastFocus.cell.index():null}),e.on("column-visibility"+r,function(u){t._tabInput()}),e.on("column-reorder"+r,function(u,p,b){var g=t.s.lastFocus;if(g&&g.cell){var m=g.relative.column;g.cell[0][0].column=b.mapping.indexOf(m),g.relative.column=b.mapping.indexOf(m)}}),e.on("preDraw"+r+" scroller-will-draw"+r,function(u){t.s.dtDrawing=!0}),e.on("draw"+r,function(u){if(t.s.dtDrawing=!1,t._tabInput(),!t.s.focusDraw){var p=t.s.lastFocus;if(p){var b=t.s.lastFocus.relative,g=e.page.info(),m=b.row;if(g.recordsDisplay===0||m<g.start||m>g.start+g.length)return;m>=g.recordsDisplay&&(m=g.recordsDisplay-1),t._focus(m,b.column,!0,u)}}}),this.c.clipboard&&this._clipboard(),e.on("destroy"+r,function(){t._blur(!0),e.off(r),jt(e.table().body()).off("click"+r,"th, td").off("dblclick"+r,"th, td"),jt(document).off("mousedown"+r).off("keydown"+r).off("copy"+r).off("paste"+r)});var o=e.state.loaded();o&&o.keyTable?e.one("init",function(){var u=e.cell(o.keyTable);u.any()&&u.focus()}):this.c.focus&&e.cell(this.c.focus).focus()},_blur:function(t){if(!(!this.s.enable||!this.s.lastFocus)){var e=this.s.lastFocus.cell;jt(e.node()).removeClass(this.c.className),this.s.lastFocus=null,t||(this._updateFixedColumns(e.index().column),this._emitEvent("key-blur",[this.s.dt,e]))}},_clipboard:function(){var t=this.s.dt,e=this,n=this.s.namespace,r=this.c.clipboard;window.getSelection&&((r===!0||r.copy)&&jt(document).on("copy"+n,function(s){var i=s.originalEvent,o=window.getSelection().toString(),u=e.s.lastFocus;!o&&u&&(i.clipboardData.setData("text/plain",u.cell.render(e.c.clipboardOrthogonal)),i.preventDefault())}),(r===!0||r.paste)&&jt(document).on("paste"+n,function(s){var i=s.originalEvent,o=e.s.lastFocus,u=document.activeElement,p=e.c.editor,b;if(o&&(!u||u.nodeName.toLowerCase()==="body"))if(i.preventDefault(),window.clipboardData&&window.clipboardData.getData?b=window.clipboardData.getData("Text"):i.clipboardData&&i.clipboardData.getData&&(b=i.clipboardData.getData("text/plain")),p){var g=e._inlineOptions(o.cell.index());p.inline(g.cell,g.field,g.options).set(p.displayed()[0],b).submit()}else o.cell.data(b),t.draw(!1)}))},_columns:function(){var t=this.s.dt,e=t.columns(this.c.columns).indexes(),n=[];return t.columns(":visible").every(function(r){e.indexOf(r)!==-1&&n.push(r)}),n},_editor:function(t,e,n){if(this.s.lastFocus&&!(e&&e.type==="draw")){var r=this,s=this.s.dt,i=this.c.editor,o=this.s.lastFocus.cell,u=this.s.namespace+"e"+ed++;if(!jt("div.DTE",o.node()).length&&!(t!==null&&(t>=0&&t<=9||t===11||t===12||t>=14&&t<=31||t>=112&&t<=123||t>=127&&t<=159))){e&&(e.stopPropagation(),t===13&&e.preventDefault());var p=function(){var b=r._inlineOptions(o.index());i.one("open"+u,function(){i.off("cancelOpen"+u),n||jt("div.DTE_Field_InputControl input, div.DTE_Field_InputControl textarea").select(),s.keys.enable(n?"tab-only":"navigation-only"),s.on("key-blur.editor",function(g,m,C){i.s.editOpts.onBlur!=="submit"&&i.displayed()&&C.node()===o.node()&&i.submit()}),n&&jt(s.table().container()).addClass("dtk-focus-alt"),i.on("preSubmitCancelled"+u,function(){setTimeout(function(){r._focus(o,null,!1)},50)}),i.on("submitUnsuccessful"+u,function(){r._focus(o,null,!1)}),i.one("close"+u,function(){s.keys.enable(!0),s.off("key-blur.editor"),i.off(u),jt(s.table().container()).removeClass("dtk-focus-alt"),r.s.returnSubmit&&(r.s.returnSubmit=!1,r._emitEvent("key-return-submit",[s,o]))})}).one("cancelOpen"+u,function(){i.off(u)}).inline(b.cell,b.field,b.options)};t===13?(n=!0,jt(document).one("keyup",function(){p()})):p()}}},_inlineOptions:function(t){return this.c.editorOptions?this.c.editorOptions(t):{cell:t,field:void 0,options:void 0}},_emitEvent:function(t,e){return this.s.dt.iterator("table",function(n,r){return jt(n.nTable).triggerHandler(t,e)})},_focus:function(t,e,n,r){var s=this,i=this.s.dt,o=i.page.info(),u=this.s.lastFocus;if(r||(r=null),!!this.s.enable){if(typeof t!="number"){if(!t.any())return;var p=t.index();if(e=p.column,t=i.rows({filter:"applied",order:"applied"}).indexes().indexOf(p.row),t<0)return;o.serverSide&&(t+=o.start)}if(o.length!==-1&&(t<o.start||t>=o.start+o.length)){this.s.focusDraw=!0,this.s.waitingForDraw=!0,i.one("draw",function(){s.s.focusDraw=!1,s.s.waitingForDraw=!1,s._focus(t,e,void 0,r)}).page(Math.floor(t/o.length)).draw(!1);return}if(jt.inArray(e,this._columns())!==-1){o.serverSide&&(t-=o.start);var b=i.cells(null,e,{search:"applied",order:"applied"}).flatten(),g=i.cell(b[t]),m=this._emitEvent("key-prefocus",[this.s.dt,g,r||null]);if(m.indexOf(!1)===-1){if(u){if(u.node===g.node()){this._emitEvent("key-refocus",[this.s.dt,g,r||null]);return}this._blur()}this._removeOtherFocus();var C=jt(g.node());if(C.addClass(this.c.className),this._updateFixedColumns(e),n===void 0||n===!0){this._scroll(jt(window),jt(document.body),C,"offset");var y=i.table().body().parentNode;if(y!==i.table().header().parentNode){var T=jt(y.parentNode);this._scroll(T,T,C,"position")}}var P=i.page.info();this.s.lastFocus={cell:g,node:g.node(),relative:{row:P.start+i.rows({page:"current"}).indexes().indexOf(g.index().row),column:g.index().column}},this._emitEvent("key-focus",[this.s.dt,g,r||null]),i.state.save()}}}},_key:function(t){if(this.s.waitingForDraw){t.preventDefault();return}if(!jt(t.target).closest(".dte-inlineAdd").length){var e=this.s.enable;this.s.returnSubmit=(e==="navigation-only"||e==="tab-only")&&t.keyCode===13;var n=e===!0||e==="navigation-only";if(e&&!((t.keyCode===0||t.ctrlKey||t.metaKey||t.altKey)&&!(t.ctrlKey&&t.altKey))){var r=this.s.lastFocus;if(r){if(!this.s.dt.cell(r.node).any()){this.s.lastFocus=null;return}var s=this,i=this.s.dt,o=!!this.s.dt.settings()[0].oScroll.sY;if(!(this.c.keys&&jt.inArray(t.keyCode,this.c.keys)===-1))switch(t.keyCode){case 9:t.preventDefault(),this._keyAction(function(){s._shift(t,t.shiftKey?"left":"right",!0)});break;case 27:if(jt(r.node).find("div.DTE").length)return;this.c.blurable&&e===!0&&this._blur();break;case 33:case 34:n&&!o&&(t.preventDefault(),this._keyAction(function(){i.page(t.keyCode===33?"previous":"next").draw(!1)}));break;case 35:case 36:n&&(t.preventDefault(),this._keyAction(function(){var u=i.cells({page:"current"}).indexes(),p=s._columns();s._focus(i.cell(u[t.keyCode===35?u.length-1:p[0]]),null,!0,t)}));break;case 37:n&&this._keyAction(function(){s._shift(t,"left")});break;case 38:n&&this._keyAction(function(){s._shift(t,"up")});break;case 39:n&&this._keyAction(function(){s._shift(t,"right")});break;case 40:n&&this._keyAction(function(){s._shift(t,"down")});break;case 113:if(this.c.editor){this._editor(null,t,!0);break}default:e===!0&&this._emitEvent("key",[i,t.keyCode,this.s.lastFocus.cell,t]);break}}}}},_keyAction:function(t){var e=this.c.editor;e&&e.mode()&&e.display()?e.submit(t):t()},_removeOtherFocus:function(){var t=this.s.dt.table().node();jt.fn.dataTable.tables({api:!0}).iterator("table",function(e){this.table().node()!==t&&this.cell.blur()})},_scroll:function(t,e,n,r){var s=n[r](),i=n.outerHeight(),o=n.outerWidth(),u=e.scrollTop(),p=e.scrollLeft(),b=t.height(),g=t.width();r==="position"&&(s.top+=parseInt(n.closest("table").css("top"),10)),s.top<u&&s.top+i>u-5&&e.scrollTop(s.top),s.left<p&&e.scrollLeft(s.left),s.top+i>u+b&&s.top<u+b+5&&i<b&&e.scrollTop(s.top+i-b),s.left+o>p+g&&o<g&&e.scrollLeft(s.left+o-g)},_shift:function(t,e,n){var r=this.s.dt,s=r.page.info(),i=s.recordsDisplay,o=this._columns(),u=this.s.lastFocus;if(u){var p=u.cell;if(p){var b=r.rows({filter:"applied",order:"applied"}).indexes().indexOf(p.index().row);s.serverSide&&(b+=s.start);var g=r.columns(o).indexes().indexOf(p.index().column),m=b,C=o[g];jt(r.table().node()).css("direction")==="rtl"&&(e==="right"?e="left":e==="left"&&(e="right")),e==="right"?g>=o.length-1?(m++,C=o[0]):C=o[g+1]:e==="left"?g===0?(m--,C=o[o.length-1]):C=o[g-1]:e==="up"?m--:e==="down"&&m++,m>=0&&m<i&&jt.inArray(C,o)!==-1?(t&&t.preventDefault(),this._focus(m,C,!0,t)):!n||!this.c.blurable?t&&t.preventDefault():this._blur()}}},_tabInput:function(){var t=this,e=this.s.dt,n=this.c.tabIndex!==null?this.c.tabIndex:e.settings()[0].iTabIndex;if(n!=-1){if(!this.s.tabInput){var r=jt('<div><input type="text" tabindex="'+n+'"/></div>').css({position:"absolute",height:1,width:0,overflow:"hidden"});r.children().on("focus",function(i){var o=e.cell(":eq(0)",t._columns(),{page:"current"});o.any()&&t._focus(o,null,!0,i)}),this.s.tabInput=r}var s=this.s.dt.cell(":eq(0)","0:visible",{page:"current",order:"current"}).node();s&&jt(s).prepend(this.s.tabInput)}},_updateFixedColumns:function(t){var e=this.s.dt,n=e.settings()[0];if(n._oFixedColumns){var r=n._oFixedColumns.s.iLeftColumns,s=n.aoColumns.length-n._oFixedColumns.s.iRightColumns;(t<r||t>=s)&&e.fixedColumns().update()}}});_n.defaults={blurable:!0,className:"focus",clipboard:!0,clipboardOrthogonal:"display",columns:"",editor:null,editOnFocus:!1,editorOptions:null,focus:null,keys:null,tabIndex:null};_n.version="2.12.1";jt.fn.dataTable.KeyTable=_n;jt.fn.DataTable.KeyTable=_n;at.Api.register("cell.blur()",function(){return this.iterator("table",function(t){t.keytable&&t.keytable.blur()})});at.Api.register("cell().focus()",function(){return this.iterator("cell",function(t,e,n){t.keytable&&t.keytable.focus(e,n)})});at.Api.register("keys.disable()",function(){return this.iterator("table",function(t){t.keytable&&t.keytable.enable(!1)})});at.Api.register("keys.enable()",function(t){return this.iterator("table",function(e){e.keytable&&e.keytable.enable(t===void 0?!0:t)})});at.Api.register("keys.enabled()",function(t){var e=this.context;return e.length&&e[0].keytable?e[0].keytable.enabled():!1});at.Api.register("keys.move()",function(t){return this.iterator("table",function(e){e.keytable&&e.keytable._shift(null,t,!1)})});at.ext.selector.cell.push(function(t,e,n){var r=e.focused,s=t.keytable,i=[];if(!s||r===void 0)return n;for(var o=0,u=n.length;o<u;o++)(r===!0&&s.focused(n[o])||r===!1&&!s.focused(n[o]))&&i.push(n[o]);return i});jt(document).on("preInit.dt.dtk",function(t,e,n){if(t.namespace==="dt"){var r=e.oInit.keys,s=at.defaults.keys;if(r||s){var i=jt.extend({},s,r);r!==!1&&new _n(e,i)}}});var rd=ie(ae(),1);var Xs=ie(ae(),1);var ze=Xs.default,Cn=function(t,e){if(!at.versionCheck||!at.versionCheck("1.11"))throw"RowGroup requires DataTables 1.11 or newer";this.c=ze.extend(!0,{},at.defaults.rowGroup,Cn.defaults,e),this.s={dt:new at.Api(t)},this.dom={};var n=this.s.dt.settings()[0],r=n.rowGroup;if(r)return r;n.rowGroup=this,this._constructor()};ze.extend(Cn.prototype,{dataSrc:function(t){if(t===void 0)return this.c.dataSrc;var e=this.s.dt;return this.c.dataSrc=t,ze(e.table().node()).triggerHandler("rowgroup-datasrc.dt",[e,t]),this},disable:function(){return this.c.enable=!1,this},enable:function(t){return t===!1?this.disable():(this.c.enable=!0,this)},enabled:function(){return this.c.enable},_constructor:function(){var t=this,e=this.s.dt,n=e.settings()[0];e.on("draw.dtrg",function(r,s){t.c.enable&&n===s&&t._draw()}),e.on("column-visibility.dt.dtrg responsive-resize.dt.dtrg",function(){t._adjustColspan()}),e.on("destroy",function(){e.off(".dtrg")})},_adjustColspan:function(){ze("tr."+this.c.className,this.s.dt.table().body()).find("th:visible, td:visible").attr("colspan",this._colspan())},_colspan:function(){return this.s.dt.columns().visible().reduce(function(t,e){return t+e},0)},_draw:function(){var t=this.s.dt,e=this._group(0,t.rows({page:"current"}).indexes());this._groupDisplay(0,e)},_group:function(t,e){var n=Array.isArray(this.c.dataSrc)?this.c.dataSrc:[this.c.dataSrc],r=at.util.get(n[t]),s=this.s.dt,i,o,u,p,b=[],g=this;for(u=0,p=e.length;u<p;u++){var m=e[u],C=s.row(m).data();i=r(C,t),i==null&&(i=g.c.emptyDataGroup),(o===void 0||i!==o)&&(b.push({dataPoint:i,rows:[]}),o=i),b[b.length-1].rows.push(m)}if(n[t+1]!==void 0)for(u=0,p=b.length;u<p;u++)b[u].children=this._group(t+1,b[u].rows);return b},_groupDisplay:function(t,e){for(var n=this.s.dt,r,s=0,i=e.length;s<i;s++){var o=e[s],u=o.dataPoint,p,b=o.rows;this.c.startRender&&(r=this.c.startRender.call(this,n.rows(b),u,t),p=this._rowWrap(r,this.c.startClassName,t),p&&p.insertBefore(n.row(b[0]).node())),this.c.endRender&&(r=this.c.endRender.call(this,n.rows(b),u,t),p=this._rowWrap(r,this.c.endClassName,t),p&&p.insertAfter(n.row(b[b.length-1]).node())),o.children&&this._groupDisplay(t+1,o.children)}},_rowWrap:function(t,e,n){var r;return(t===null||t==="")&&(t=this.c.emptyDataGroup),t==null?null:(typeof t=="object"&&t.nodeName&&t.nodeName.toLowerCase()==="tr"?r=ze(t):t instanceof ze&&t.length&&t[0].nodeName.toLowerCase()==="tr"?r=t:r=ze("<tr/>").append(ze("<th/>").attr("colspan",this._colspan()).attr("scope","row").append(t)),r.addClass(this.c.className).addClass(e).addClass("dtrg-level-"+n))}});Cn.defaults={className:"dtrg-group",dataSrc:0,emptyDataGroup:"No group",enable:!0,endClassName:"dtrg-end",endRender:null,startClassName:"dtrg-start",startRender:function(t,e){return e}};Cn.version="1.5.0";ze.fn.dataTable.RowGroup=Cn;ze.fn.DataTable.RowGroup=Cn;at.Api.register("rowGroup()",function(){return this});at.Api.register("rowGroup().disable()",function(){return this.iterator("table",function(t){t.rowGroup&&t.rowGroup.enable(!1)})});at.Api.register("rowGroup().enable()",function(t){return this.iterator("table",function(e){e.rowGroup&&e.rowGroup.enable(t===void 0?!0:t)})});at.Api.register("rowGroup().enabled()",function(){var t=this.context;return t.length&&t[0].rowGroup?t[0].rowGroup.enabled():!1});at.Api.register("rowGroup().dataSrc()",function(t){return t===void 0?this.context[0].rowGroup.dataSrc():this.iterator("table",function(e){e.rowGroup&&e.rowGroup.dataSrc(t)})});ze(document).on("preInit.dt.dtrg",function(t,e,n){if(t.namespace==="dt"){var r=e.oInit.rowGroup,s=at.defaults.rowGroup;if(r||s){var i=ze.extend({},s,r);r!==!1&&new Cn(e,i)}}});var Ys=ie(ae(),1);var Mt=Ys.default,ce,de=function(t,e){if(de.factory(t,e))return de;typeof ce>"u"&&(ce=window.moment?window.moment:window.dayjs?window.dayjs:window.luxon?window.luxon:null),this.c=Mt.extend(!0,{},de.defaults,e);var n=this.c.classPrefix;if(!ce&&this.c.format!=="YYYY-MM-DD")throw"DateTime: Without momentjs, dayjs or luxon only the format 'YYYY-MM-DD' can be used";typeof this.c.minDate=="string"&&(this.c.minDate=new Date(this.c.minDate)),typeof this.c.maxDate=="string"&&(this.c.maxDate=new Date(this.c.maxDate));var r=Mt('<div class="'+n+'"><div class="'+n+'-date"><div class="'+n+'-title"><div class="'+n+'-iconLeft"><button type="button"></button></div><div class="'+n+'-iconRight"><button type="button"></button></div><div class="'+n+'-label"><span></span><select class="'+n+'-month"></select></div><div class="'+n+'-label"><span></span><select class="'+n+'-year"></select></div></div><div class="'+n+'-buttons"><a class="'+n+'-clear"></a><a class="'+n+'-today"></a></div><div class="'+n+'-calendar"></div></div><div class="'+n+'-time"><div class="'+n+'-hours"></div><div class="'+n+'-minutes"></div><div class="'+n+'-seconds"></div></div><div class="'+n+'-error"></div></div>');this.dom={container:r,date:r.find("."+n+"-date"),title:r.find("."+n+"-title"),calendar:r.find("."+n+"-calendar"),time:r.find("."+n+"-time"),error:r.find("."+n+"-error"),buttons:r.find("."+n+"-buttons"),clear:r.find("."+n+"-clear"),today:r.find("."+n+"-today"),previous:r.find("."+n+"-iconLeft"),next:r.find("."+n+"-iconRight"),input:Mt(t)},this.s={d:null,display:null,minutesRange:null,secondsRange:null,namespace:"dateime-"+de._instance++,parts:{date:this.c.format.match(/[YMD]|L(?!T)|l/)!==null,time:this.c.format.match(/[Hhm]|LT|LTS/)!==null,seconds:this.c.format.indexOf("s")!==-1,hours12:this.c.format.match(/[haA]/)!==null}},this.dom.container.append(this.dom.date).append(this.dom.time).append(this.dom.error),this.dom.date.append(this.dom.title).append(this.dom.buttons).append(this.dom.calendar),this.dom.input.addClass("dt-datetime"),this._constructor()};Mt.extend(de.prototype,{destroy:function(){this._hide(!0),this.dom.container.off().empty(),this.dom.input.removeClass("dt-datetime").removeAttr("autocomplete").off(".datetime")},display:function(t,e){return t!==void 0&&this.s.display.setUTCFullYear(t),e!==void 0&&this.s.display.setUTCMonth(e-1),t!==void 0||e!==void 0?(this._setTitle(),this._setCalander(),this):{month:this.s.display.getUTCMonth()+1,year:this.s.display.getUTCFullYear()}},errorMsg:function(t){var e=this.dom.error;return t?e.html(t):e.empty(),this},hide:function(){return this._hide(),this},max:function(t){return this.c.maxDate=typeof t=="string"?new Date(t):t,this._optionsTitle(),this._setCalander(),this},min:function(t){return this.c.minDate=typeof t=="string"?new Date(t):t,this._optionsTitle(),this._setCalander(),this},owns:function(t){return Mt(t).parents().filter(this.dom.container).length>0},val:function(t,e){return t===void 0?this.s.d:(t instanceof Date?this.s.d=this._dateToUtc(t):t===null||t===""?this.s.d=null:t==="--now"?this.s.d=this._dateToUtc(new Date):typeof t=="string"&&(this.s.d=this._dateToUtc(this._convert(t,this.c.format,null))),(e||e===void 0)&&(this.s.d?this._writeOutput():this.dom.input.val(t)),this.s.display=this.s.d?new Date(this.s.d.toString()):new Date,this.s.display.setUTCDate(1),this._setTitle(),this._setCalander(),this._setTime(),this)},valFormat:function(t,e){return e?(this.val(this._convert(e,t,null)),this):this._convert(this.val(),null,t)},_constructor:function(){var t=this,e=this.c.classPrefix,n=this.dom.input.val(),r=function(){var s=t.dom.input.val();s!==n&&(t.c.onChange.call(t,s,t.s.d,t.dom.input),n=s)};this.s.parts.date||this.dom.date.css("display","none"),this.s.parts.time||this.dom.time.css("display","none"),this.s.parts.seconds||(this.dom.time.children("div."+e+"-seconds").remove(),this.dom.time.children("span").eq(1).remove()),this.c.buttons.clear||this.dom.clear.css("display","none"),this.c.buttons.today||this.dom.today.css("display","none"),this._optionsTitle(),Mt(document).on("i18n.dt",function(s,i){i.oLanguage.datetime&&(Mt.extend(!0,t.c.i18n,i.oLanguage.datetime),t._optionsTitle())}),this.dom.input.attr("type")==="hidden"&&(this.dom.container.addClass("inline"),this.c.attachTo="input",this.val(this.dom.input.val(),!1),this._show()),n&&this.val(n,!1),this.dom.input.attr("autocomplete","off").on("focus.datetime click.datetime",function(){t.dom.container.is(":visible")||t.dom.input.is(":disabled")||(t.val(t.dom.input.val(),!1),t._show())}).on("keyup.datetime",function(){t.dom.container.is(":visible")&&t.val(t.dom.input.val(),!1)}),this.dom.container[0].addEventListener("focusin",function(s){s.stopPropagation()}),this.dom.container.on("change","select",function(){var s=Mt(this),i=s.val();if(s.hasClass(e+"-month"))t._correctMonth(t.s.display,i),t._setTitle(),t._setCalander();else if(s.hasClass(e+"-year"))t.s.display.setUTCFullYear(i),t._setTitle(),t._setCalander();else if(s.hasClass(e+"-hours")||s.hasClass(e+"-ampm")){if(t.s.parts.hours12){var o=Mt(t.dom.container).find("."+e+"-hours").val()*1,u=Mt(t.dom.container).find("."+e+"-ampm").val()==="pm";t.s.d.setUTCHours(o===12&&!u?0:u&&o!==12?o+12:o)}else t.s.d.setUTCHours(i);t._setTime(),t._writeOutput(!0),r()}else s.hasClass(e+"-minutes")?(t.s.d.setUTCMinutes(i),t._setTime(),t._writeOutput(!0),r()):s.hasClass(e+"-seconds")&&(t.s.d.setSeconds(i),t._setTime(),t._writeOutput(!0),r());t.dom.input.focus(),t._position()}).on("click",function(s){var i=t.s.d,o=s.target.nodeName.toLowerCase(),u=o==="span"?s.target.parentNode:s.target;if(o=u.nodeName.toLowerCase(),o!=="select")if(s.stopPropagation(),o==="a"&&(s.preventDefault(),Mt(u).hasClass(e+"-clear")?(t.s.d=null,t.dom.input.val(""),t._writeOutput(),t._setCalander(),t._setTime(),r()):Mt(u).hasClass(e+"-today")&&(t.s.display=new Date,t._setTitle(),t._setCalander())),o==="button"){var p=Mt(u),b=p.parent();if(b.hasClass("disabled")&&!b.hasClass("range")){p.blur();return}if(b.hasClass(e+"-iconLeft"))t.s.display.setUTCMonth(t.s.display.getUTCMonth()-1),t._setTitle(),t._setCalander(),t.dom.input.focus();else if(b.hasClass(e+"-iconRight"))t._correctMonth(t.s.display,t.s.display.getUTCMonth()+1),t._setTitle(),t._setCalander(),t.dom.input.focus();else if(p.parents("."+e+"-time").length){var g=p.data("value"),m=p.data("unit");if(i=t._needValue(),m==="minutes")if(b.hasClass("disabled")&&b.hasClass("range")){t.s.minutesRange=g,t._setTime();return}else t.s.minutesRange=null;if(m==="seconds")if(b.hasClass("disabled")&&b.hasClass("range")){t.s.secondsRange=g,t._setTime();return}else t.s.secondsRange=null;if(g==="am")if(i.getUTCHours()>=12)g=i.getUTCHours()-12;else return;else if(g==="pm")if(i.getUTCHours()<12)g=i.getUTCHours()+12;else return;var C=m==="hours"?"setUTCHours":m==="minutes"?"setUTCMinutes":"setSeconds";i[C](g),t._setCalander(),t._setTime(),t._writeOutput(!0),r()}else i=t._needValue(),i.setUTCDate(1),i.setUTCFullYear(p.data("year")),i.setUTCMonth(p.data("month")),i.setUTCDate(p.data("day")),t._writeOutput(!0),t.s.parts.time?(t._setCalander(),t._setTime()):setTimeout(function(){t._hide()},10),r()}else t.dom.input.focus()})},_compareDates:function(t,e){return this._isLuxon()?ce.DateTime.fromJSDate(t).toUTC().toISODate()===ce.DateTime.fromJSDate(e).toUTC().toISODate():this._dateToUtcString(t)===this._dateToUtcString(e)},_convert:function(t,e,n){if(!t)return t;if(ce)if(this._isLuxon()){var s=t instanceof Date?ce.DateTime.fromJSDate(t).toUTC():ce.DateTime.fromFormat(t,e);return s.isValid?n?s.toFormat(n):s.toJSDate():null}else{var i=t instanceof Date?ce.utc(t,void 0,this.c.locale,this.c.strict):ce(t,e,this.c.locale,this.c.strict);return i.isValid()?n?i.format(n):i.toDate():null}else{if(!e&&!n||e&&n)return t;if(e){var r=t.match(/(\d{4})\-(\d{2})\-(\d{2})/);return r?new Date(r[1],r[2]-1,r[3]):null}else return t.getUTCFullYear()+"-"+this._pad(t.getUTCMonth()+1)+"-"+this._pad(t.getUTCDate())}},_correctMonth:function(t,e){var n=this._daysInMonth(t.getUTCFullYear(),e),r=t.getUTCDate()>n;t.setUTCMonth(e),r&&(t.setUTCDate(n),t.setUTCMonth(e))},_daysInMonth:function(t,e){var n=t%4===0&&(t%100!==0||t%400===0),r=[31,n?29:28,31,30,31,30,31,31,30,31,30,31];return r[e]},_dateToUtc:function(t){return t&&new Date(Date.UTC(t.getFullYear(),t.getMonth(),t.getDate(),t.getHours(),t.getMinutes(),t.getSeconds()))},_dateToUtcString:function(t){return this._isLuxon()?ce.DateTime.fromJSDate(t).toUTC().toISODate():t.getUTCFullYear()+"-"+this._pad(t.getUTCMonth()+1)+"-"+this._pad(t.getUTCDate())},_hide:function(t){if(!(!t&&this.dom.input.attr("type")==="hidden")){var e=this.s.namespace;this.dom.container.detach(),Mt(window).off("."+e),Mt(document).off("keydown."+e),Mt("div.dataTables_scrollBody").off("scroll."+e),Mt("div.DTE_Body_Content").off("scroll."+e),Mt("body").off("click."+e),Mt(this.dom.input[0].offsetParent).off("."+e)}},_hours24To12:function(t){return t===0?12:t>12?t-12:t},_htmlDay:function(t){if(t.empty)return'<td class="empty"></td>';var e=["selectable"],n=this.c.classPrefix;return t.disabled&&e.push("disabled"),t.today&&e.push("now"),t.selected&&e.push("selected"),'<td data-day="'+t.day+'" class="'+e.join(" ")+'"><button class="'+n+"-button "+n+'-day" type="button" data-year="'+t.year+'" data-month="'+t.month+'" data-day="'+t.day+'"><span>'+t.day+"</span></button></td>"},_htmlMonth:function(t,e){var n=this._dateToUtc(new Date),r=this._daysInMonth(t,e),s=new Date(Date.UTC(t,e,1)).getUTCDay(),i=[],o=[];this.c.firstDay>0&&(s-=this.c.firstDay,s<0&&(s+=7));for(var u=r+s,p=u;p>7;)p-=7;u+=7-p;var b=this.c.minDate,g=this.c.maxDate;b&&(b.setUTCHours(0),b.setUTCMinutes(0),b.setSeconds(0)),g&&(g.setUTCHours(23),g.setUTCMinutes(59),g.setSeconds(59));for(var m=0,C=0;m<u;m++){var y=new Date(Date.UTC(t,e,1+(m-s))),T=this.s.d?this._compareDates(y,this.s.d):!1,P=this._compareDates(y,n),c=m<s||m>=r+s,l=b&&y<b||g&&y>g,h=this.c.disableDays;(Array.isArray(h)&&Mt.inArray(y.getUTCDay(),h)!==-1||typeof h=="function"&&h(y)===!0)&&(l=!0);var _={day:1+(m-s),month:e,year:t,selected:T,today:P,disabled:l,empty:c};o.push(this._htmlDay(_)),++C===7&&(this.c.showWeekNumber&&o.unshift(this._htmlWeekOfYear(m-s,e,t)),i.push("<tr>"+o.join("")+"</tr>"),o=[],C=0)}var F=this.c.classPrefix,O=F+"-table";if(this.c.showWeekNumber&&(O+=" weekNumber"),b){var f=b>=new Date(Date.UTC(t,e,1,0,0,0));this.dom.title.find("div."+F+"-iconLeft").css("display",f?"none":"block")}if(g){var U=g<new Date(Date.UTC(t,e+1,1,0,0,0));this.dom.title.find("div."+F+"-iconRight").css("display",U?"none":"block")}return'<table class="'+O+'"><thead>'+this._htmlMonthHead()+"</thead><tbody>"+i.join("")+"</tbody></table>"},_htmlMonthHead:function(){var t=[],e=this.c.firstDay,n=this.c.i18n,r=function(i){for(i+=e;i>=7;)i-=7;return n.weekdays[i]};this.c.showWeekNumber&&t.push("<th></th>");for(var s=0;s<7;s++)t.push("<th>"+r(s)+"</th>");return t.join("")},_htmlWeekOfYear:function(t,e,n){var r=new Date(n,e,t,0,0,0,0);r.setDate(r.getDate()+4-(r.getDay()||7));var s=new Date(n,0,1),i=Math.ceil(((r-s)/864e5+1)/7);return'<td class="'+this.c.classPrefix+'-week">'+i+"</td>"},_isLuxon:function(){return!!(ce&&ce.DateTime&&ce.Duration&&ce.Settings)},_needValue:function(){return this.s.d||(this.s.d=this._dateToUtc(new Date),this.s.parts.time||(this.s.d.setUTCHours(0),this.s.d.setUTCMinutes(0),this.s.d.setSeconds(0),this.s.d.setMilliseconds(0))),this.s.d},_options:function(t,e,n){n||(n=e);var r=this.dom.container.find("select."+this.c.classPrefix+"-"+t);r.empty();for(var s=0,i=e.length;s<i;s++)r.append('<option value="'+e[s]+'">'+n[s]+"</option>")},_optionSet:function(t,e){var n=this.dom.container.find("select."+this.c.classPrefix+"-"+t),r=n.parent().children("span");n.val(e);var s=n.find("option:selected");r.html(s.length!==0?s.text():this.c.i18n.unknown)},_optionsTime:function(t,e,n,r,s){var i=this.c.classPrefix,o=this.dom.container.find("div."+i+"-"+t),u,p,b=e===12?function(l){return l}:this._pad,g=i+"-table",m=this.c.i18n;if(o.length){var C="",y=10,T=function(l,h,_){e===12&&typeof l=="number"&&(n>=12&&(l+=12),l==12?l=0:l==24&&(l=12));var F=n===l||l==="am"&&n<12||l==="pm"&&n>=12?"selected":"";return typeof l=="number"&&r&&Mt.inArray(l,r)===-1&&(F+=" disabled"),_&&(F+=" "+_),'<td class="selectable '+F+'"><button class="'+i+"-button "+i+'-day" type="button" data-unit="'+t+'" data-value="'+l+'"><span>'+h+"</span></button></td>"};if(e===12){for(C+="<tr>",u=1;u<=6;u++)C+=T(u,b(u));for(C+=T("am",m.amPm[0]),C+="</tr>",C+="<tr>",u=7;u<=12;u++)C+=T(u,b(u));C+=T("pm",m.amPm[1]),C+="</tr>",y=7}else if(e===24){var P=0;for(p=0;p<4;p++){for(C+="<tr>",u=0;u<6;u++)C+=T(P,b(P)),P++;C+="</tr>"}y=6}else{for(C+="<tr>",p=0;p<60;p+=10)C+=T(p,b(p),"range");C+="</tr>",C+='</tbody></thead><table class="'+g+" "+g+'-nospace"><tbody>';var c=s!==null?s:n===-1?0:Math.floor(n/10)*10;for(C+="<tr>",p=c+1;p<c+10;p++)C+=T(p,b(p));C+="</tr>",y=6}o.empty().append('<table class="'+g+'"><thead><tr><th colspan="'+y+'">'+m[t]+"</th></tr></thead><tbody>"+C+"</tbody></table>")}},_optionsTitle:function(){var t=this.c.i18n,e=this.c.minDate,n=this.c.maxDate,r=e?e.getFullYear():null,s=n?n.getFullYear():null,i=r!==null?r:new Date().getFullYear()-this.c.yearRange,o=s!==null?s:new Date().getFullYear()+this.c.yearRange;this._options("month",this._range(0,11),t.months),this._options("year",this._range(i,o)),this.dom.today.text(t.today).text(t.today),this.dom.clear.text(t.clear).text(t.clear),this.dom.previous.attr("title",t.previous).children("button").text(t.previous),this.dom.next.attr("title",t.next).children("button").text(t.next)},_pad:function(t){return t<10?"0"+t:t},_position:function(){var t=this.c.attachTo==="input"?this.dom.input.position():this.dom.input.offset(),e=this.dom.container,n=this.dom.input.outerHeight();if(e.hasClass("inline")){e.insertAfter(this.dom.input);return}this.s.parts.date&&this.s.parts.time&&Mt(window).width()>550?e.addClass("horizontal"):e.removeClass("horizontal"),this.c.attachTo==="input"?e.css({top:t.top+n,left:t.left}).insertAfter(this.dom.input):e.css({top:t.top+n,left:t.left}).appendTo("body");var r=e.outerHeight(),s=e.outerWidth(),i=Mt(window).scrollTop();if(t.top+n+r-i>Mt(window).height()){var o=t.top-r;e.css("top",o<0?0:o)}if(s+t.left>Mt(window).width()){var u=Mt(window).width()-s;this.c.attachTo==="input"&&(u-=Mt(e).offsetParent().offset().left),e.css("left",u<0?0:u)}},_range:function(t,e,n){var r=[];n||(n=1);for(var s=t;s<=e;s+=n)r.push(s);return r},_setCalander:function(){this.s.display&&this.dom.calendar.empty().append(this._htmlMonth(this.s.display.getUTCFullYear(),this.s.display.getUTCMonth()))},_setTitle:function(){this._optionSet("month",this.s.display.getUTCMonth()),this._optionSet("year",this.s.display.getUTCFullYear())},_setTime:function(){var t=this,e=this.s.d,n=null;this._isLuxon()&&(n=ce.DateTime.fromJSDate(e).toUTC());var r=n!=null?n.hour:e?e.getUTCHours():-1,s=function(i){return t.c[i+"Available"]?t.c[i+"Available"]:t._range(0,59,t.c[i+"Increment"])};this._optionsTime("hours",this.s.parts.hours12?12:24,r,this.c.hoursAvailable),this._optionsTime("minutes",60,n!=null?n.minute:e?e.getUTCMinutes():-1,s("minutes"),this.s.minutesRange),this._optionsTime("seconds",60,n!=null?n.second:e?e.getSeconds():-1,s("seconds"),this.s.secondsRange)},_show:function(){var t=this,e=this.s.namespace;this._position(),Mt(window).on("scroll."+e+" resize."+e,function(){t._position()}),Mt("div.DTE_Body_Content").on("scroll."+e,function(){t._position()}),Mt("div.dataTables_scrollBody").on("scroll."+e,function(){t._position()});var n=this.dom.input[0].offsetParent;n!==document.body&&Mt(n).on("scroll."+e,function(){t._position()}),Mt(document).on("keydown."+e,function(r){(r.keyCode===9||r.keyCode===27||r.keyCode===13)&&t._hide()}),setTimeout(function(){Mt("body").on("click."+e,function(r){var s=Mt(r.target).parents();!s.filter(t.dom.container).length&&r.target!==t.dom.input[0]&&t._hide()})},10)},_writeOutput:function(t){var e=this.s.d,n="",r=this.dom.input;e&&(n=this._convert(e,null,this.c.format)),r.val(n);var s=new Event("change",{bubbles:!0});r[0].dispatchEvent(s),r.attr("type")==="hidden"&&this.val(n,!1),t&&r.focus()}});de.use=function(t){ce=t};de._instance=0;de.type="DateTime";de.defaults={attachTo:"body",buttons:{clear:!1,today:!1},classPrefix:"dt-datetime",disableDays:null,firstDay:1,format:"YYYY-MM-DD",hoursAvailable:null,i18n:{clear:"Clear",previous:"Previous",next:"Next",months:["January","February","March","April","May","June","July","August","September","October","November","December"],weekdays:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],amPm:["am","pm"],hours:"Hour",minutes:"Minute",seconds:"Second",unknown:"-",today:"Today"},maxDate:null,minDate:null,minutesAvailable:null,minutesIncrement:1,strict:!0,locale:"en",onChange:function(){},secondsAvailable:null,secondsIncrement:1,showWeekNumber:!1,yearRange:25};de.version="1.5.3";de.factory=function(t,e){var n=!1;return t&&t.document&&(window=t,document=t.document),e&&e.fn&&e.fn.jquery&&(Mt=e,n=!0),n};window.DateTime||(window.DateTime=de);window.DataTable&&(window.DataTable.DateTime=de);Mt.fn.dtDateTime=function(t){return this.each(function(){new de(this,t)})};Mt.fn.dataTable&&(Mt.fn.dataTable.DateTime=de,Mt.fn.DataTable.DateTime=de,Mt.fn.dataTable.Editor&&(Mt.fn.dataTable.Editor.DateTime=de));var id=de;var ad=ie(ae(),1);var $s=ie(ae(),1);var cn=$s.default;(function(){"use strict";var t,e;function n(){var c=at.use("moment");return c||window.moment}function r(){var c=at.use("luxon");return c||window.luxon}function s(c){t=c,e=c.fn.dataTable}var i=function(){function c(l,h,_,F,O,f,U){F===void 0&&(F=0),O===void 0&&(O=1),f===void 0&&(f=void 0),U===void 0&&(U=!1);var X=this;this.classes=t.extend(!0,{},c.classes),this.c=t.extend(!0,{},c.defaults,t.fn.dataTable.ext.searchBuilder,h);var Q=this.c.i18n;if(this.s={condition:void 0,conditions:{},data:void 0,dataIdx:-1,dataPoints:[],dateFormat:!1,depth:O,dt:l,filled:!1,index:F,liveSearch:U,origData:void 0,preventRedraw:!1,serverData:f,topGroup:_,type:"",value:[]},this.dom={buttons:t("<div/>").addClass(this.classes.buttonContainer),condition:t("<select disabled/>").addClass(this.classes.condition).addClass(this.classes.dropDown).addClass(this.classes.italic).attr("autocomplete","hacking"),conditionTitle:t('<option value="" disabled selected hidden/>').html(this.s.dt.i18n("searchBuilder.condition",Q.condition)),container:t("<div/>").addClass(this.classes.container),data:t("<select/>").addClass(this.classes.data).addClass(this.classes.dropDown).addClass(this.classes.italic),dataTitle:t('<option value="" disabled selected hidden/>').html(this.s.dt.i18n("searchBuilder.data",Q.data)),defaultValue:t("<select 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O=l[this.s.dataIdx];if(this.s.type&&this.s.type.includes("num")&&(_.oLanguage.sDecimal!==""||_.oLanguage.sThousands!=="")){var f=[l[this.s.dataIdx]];if(_.oLanguage.sDecimal!==""&&(f=l[this.s.dataIdx].split(_.oLanguage.sDecimal)),_.oLanguage.sThousands!=="")for(var U=0;U<f.length;U++)f[U]=f[U].replace(_.oLanguage.sThousands,",");O=f.join(".")}if(this.c.orthogonal.search!=="filter"&&(O=_.fastData(h,this.s.dataIdx,typeof this.c.orthogonal=="string"?this.c.orthogonal:this.c.orthogonal.search)),this.s.type==="array"){Array.isArray(O)||(O=[O]),O.sort();for(var X=0,Q=O;X<Q.length;X++){var E=Q[X];E&&typeof E=="string"&&(E=E.replace(/[\r\n\u2028]/g," "))}}else O!==null&&typeof O=="string"&&(O=O.replace(/[\r\n\u2028]/g," "));return this.s.type.includes("html")&&typeof O=="string"&&(O=O.replace(/(<([^>]+)>)/ig,"")),O===null&&(O=""),F.search(O,this.s.value,this)}},c.prototype.getDetails=function(l){l===void 0&&(l=!1);var h,_=this.s.dt.settings()[0];if(this.s.type!==null&&this.s.type.includes("num")&&(_.oLanguage.sDecimal!==""||_.oLanguage.sThousands!==""))for(h=0;h<this.s.value.length;h++){var F=[this.s.value[h].toString()];if(_.oLanguage.sDecimal!==""&&(F=this.s.value[h].split(_.oLanguage.sDecimal)),_.oLanguage.sThousands!=="")for(var O=0;O<F.length;O++)F[O]=F[O].replace(_.oLanguage.sThousands,",");this.s.value[h]=F.join(".")}else if(this.s.type!==null&&l){if(this.s.type.includes("date")||this.s.type.includes("time"))for(h=0;h<this.s.value.length;h++)this.s.value[h].match(/^\d{4}-([0]\d|1[0-2])-([0-2]\d|3[01])$/g)===null&&(this.s.value[h]="");else if(this.s.type.includes("moment"))for(h=0;h<this.s.value.length;h++)this.s.value[h]&&this.s.value[h].length>0&&n()(this.s.value[h],this.s.dateFormat,!0).isValid()&&(this.s.value[h]=n()(this.s.value[h],this.s.dateFormat).format("YYYY-MM-DD HH:mm:ss"));else if(this.s.type.includes("luxon"))for(h=0;h<this.s.value.length;h++)this.s.value[h]&&this.s.value[h].length>0&&r().DateTime.fromFormat(this.s.value[h],this.s.dateFormat).invalid===null&&(this.s.value[h]=r().DateTime.fromFormat(this.s.value[h],this.s.dateFormat).toFormat("yyyy-MM-dd HH:mm:ss"))}if(this.s.type&&this.s.type.includes("num")&&this.s.dt.page.info().serverSide)for(h=0;h<this.s.value.length;h++)this.s.value[h]=this.s.value[h].replace(/[^0-9.\-]/g,"");return{condition:this.s.condition,data:this.s.data,origData:this.s.origData,type:this.s.type,value:this.s.value.map(function(f){return f!=null?f.toString():f})}},c.prototype.getNode=function(){return this.dom.container},c.prototype.parseNumber=function(l){var h=this.s.dt.i18n("decimal");return h&&h!=="."&&(l=l.replace(/\./g,"").replace(h,".")),+l.replace(/(?!^-)[^0-9.]/g,"")},c.prototype.populate=function(){this._populateData(),this.s.dataIdx!==-1&&(this._populateCondition(),this.s.condition!==void 0&&this._populateValue())},c.prototype.rebuild=function(l){var h=!1,_,F;if(this._populateData(),l.data!==void 0){var O=this.classes.italic,f=this.dom.data;this.dom.data.children("option").each(function(){!h&&(t(this).text()===l.data||l.origData&&t(this).prop("origData")===l.origData)?(t(this).prop("selected",!0),f.removeClass(O),h=!0,_=parseInt(t(this).val(),10)):t(this).removeProp("selected")})}if(h){this.s.data=l.data,this.s.origData=l.origData,this.s.dataIdx=_,this.c.orthogonal=this._getOptions().orthogonal,this.dom.dataTitle.remove(),this._populateCondition(),this.dom.conditionTitle.remove();var U=void 0,X=this.dom.condition.children("option");for(F=0;F<X.length;F++){var Q=t(X[F]);l.condition!==void 0&&Q.val()===l.condition&&typeof l.condition=="string"?(Q.prop("selected",!0),U=Q.val()):Q.removeProp("selected")}if(this.s.condition=U,this.s.condition!==void 0){for(this.dom.conditionTitle.removeProp("selected"),this.dom.conditionTitle.remove(),this.dom.condition.removeClass(this.classes.italic),F=0;F<X.length;F++){var E=t(X[F]);E.val()!==this.s.condition&&E.removeProp("selected")}this._populateValue(l)}else this.dom.conditionTitle.prependTo(this.dom.condition).prop("selected",!0)}},c.prototype.setListeners=function(){var l=this;this.dom.data.unbind("change").on("change.dtsb",function(){l.dom.dataTitle.removeProp("selected");for(var h=l.dom.data.children("option."+l.classes.option),_=0;_<h.length;_++){var F=t(h[_]);F.val()===l.dom.data.val()?(l.dom.data.removeClass(l.classes.italic),F.prop("selected",!0),l.s.dataIdx=+F.val(),l.s.data=F.text(),l.s.origData=F.prop("origData"),l.c.orthogonal=l._getOptions().orthogonal,l._clearCondition(),l._clearValue(),l._populateCondition(),l.s.filled&&(l.s.filled=!1,l.doSearch(),l.setListeners()),l.s.dt.state.save()):F.removeProp("selected")}}),this.dom.condition.unbind("change").on("change.dtsb",function(){l.dom.conditionTitle.removeProp("selected");for(var h=l.dom.condition.children("option."+l.classes.option),_=0;_<h.length;_++){var F=t(h[_]);if(F.val()===l.dom.condition.val()){l.dom.condition.removeClass(l.classes.italic),F.prop("selected",!0);for(var O=F.val(),f=0,U=Object.keys(l.s.conditions);f<U.length;f++){var X=U[f];if(X===O){l.s.condition=O;break}}l._clearValue(),l._populateValue();for(var Q=0,E=l.dom.value;Q<E.length;Q++){var $=E[Q];l.s.filled&&$!==void 0&&l.dom.inputCont.has($[0]).length!==0&&(l.s.filled=!1,l.doSearch(),l.setListeners())}(l.dom.value.length===0||l.dom.value.length===1&&l.dom.value[0]===void 0)&&l.doSearch()}else F.removeProp("selected")}})},c.prototype.setupButtons=function(){if(window.innerWidth>550){this.dom.container.removeClass(this.classes.vertical),this.dom.buttons.css("left",null),this.dom.buttons.css("top",null);return}this.dom.container.addClass(this.classes.vertical),this.dom.buttons.css("left",this.dom.data.innerWidth()),this.dom.buttons.css("top",this.dom.data.position().top)},c.prototype._buildCriteria=function(){this.dom.data.append(this.dom.dataTitle),this.dom.condition.append(this.dom.conditionTitle),this.dom.container.append(this.dom.data).append(this.dom.condition),this.dom.inputCont.empty();for(var l=0,h=this.dom.value;l<h.length;l++){var _=h[l];_.append(this.dom.valueTitle),this.dom.inputCont.append(_)}this.dom.buttons.append(this.dom.delete).append(this.dom.right),this.dom.container.append(this.dom.inputCont).append(this.dom.buttons),this.setListeners()},c.prototype._clearCondition=function(){this.dom.condition.empty(),this.dom.conditionTitle.prop("selected",!0).attr("disabled","true"),this.dom.condition.prepend(this.dom.conditionTitle).prop("selectedIndex",0),this.s.conditions={},this.s.condition=void 0},c.prototype._clearValue=function(){var l;if(this.s.condition!==void 0){if(this.dom.value.length>0&&this.dom.value[0]!==void 0)for(var h=0,_=this.dom.value;h<_.length;h++)l=_[h],l!==void 0&&setTimeout(function(){l.remove()},50);if(this.dom.value=[].concat(this.s.conditions[this.s.condition].init(this,c.updateListener)),this.dom.value.length>0&&this.dom.value[0]!==void 0){this.dom.inputCont.empty().append(this.dom.value[0]).insertAfter(this.dom.condition),t(this.dom.value[0]).trigger("dtsb-inserted");for(var F=1;F<this.dom.value.length;F++)this.dom.inputCont.append(this.dom.value[F]),t(this.dom.value[F]).trigger("dtsb-inserted")}}else{for(var O=0,f=this.dom.value;O<f.length;O++)l=f[O],l!==void 0&&setTimeout(function(){l.remove()},50);this.dom.valueTitle.prop("selected",!0),this.dom.defaultValue.append(this.dom.valueTitle).insertAfter(this.dom.condition)}this.s.value=[],this.dom.value=[t("<select disabled/>").addClass(this.classes.value).addClass(this.classes.dropDown).addClass(this.classes.italic).addClass(this.classes.select).append(this.dom.valueTitle.clone())]},c.prototype._getOptions=function(){var l=this.s.dt;return t.extend(!0,{},c.defaults,l.settings()[0].aoColumns[this.s.dataIdx].searchBuilder)},c.prototype._populateCondition=function(){var l=[],h=Object.keys(this.s.conditions).length,_=this.s.dt,F=_.settings()[0].aoColumns,O=+this.dom.data.children("option:selected").val(),f,U;if(h===0){if(this.s.type=_.column(O).type(),F!==void 0){var X=F[O];X.searchBuilderType!==void 0&&X.searchBuilderType!==null?this.s.type=X.searchBuilderType:(this.s.type===void 0||this.s.type===null)&&(this.s.type=X.sType)}(this.s.type===null||this.s.type===void 0)&&(t.fn.dataTable.ext.oApi&&t.fn.dataTable.ext.oApi._fnColumnTypes(_.settings()[0]),this.s.type=_.column(O).type()),this.dom.condition.removeAttr("disabled").empty().append(this.dom.conditionTitle).addClass(this.classes.italic),this.dom.conditionTitle.prop("selected",!0);var Q=_.settings()[0].oLanguage.sDecimal;Q!==""&&this.s.type&&this.s.type.indexOf(Q)===this.s.type.length-Q.length&&(this.s.type.includes("num-fmt")?this.s.type=this.s.type.replace(Q,""):this.s.type.includes("num")&&(this.s.type=this.s.type.replace(Q,"")));var E=void 0;this.c.conditions[this.s.type]!==void 0?E=this.c.conditions[this.s.type]:this.s.type&&this.s.type.includes("datetime-")?(E=at.use("moment")?this.c.conditions.moment:this.c.conditions.luxon,this.s.dateFormat=this.s.type.replace(/datetime-/g,"")):this.s.type&&this.s.type.includes("moment")?(E=this.c.conditions.moment,this.s.dateFormat=this.s.type.replace(/moment-/g,"")):this.s.type&&this.s.type.includes("luxon")?(E=this.c.conditions.luxon,this.s.dateFormat=this.s.type.replace(/luxon-/g,"")):E=this.c.conditions.string;for(var $=0,w=Object.keys(E);$<w.length;$++)if(f=w[$],E[f]!==null){if(_.page.info().serverSide&&E[f].init===c.initSelect){var k=F[O];this.s.serverData&&this.s.serverData[k.data]?(E[f].init=c.initSelectSSP,E[f].inputValue=c.inputValueSelect,E[f].isInputValid=c.isInputValidSelect):(E[f].init=c.initInput,E[f].inputValue=c.inputValueInput,E[f].isInputValid=c.isInputValidInput)}this.s.conditions[f]=E[f],U=E[f].conditionName,typeof U=="function"&&(U=U(_,this.c.i18n)),l.push(t("<option>",{text:U,value:f}).addClass(this.classes.option).addClass(this.classes.notItalic))}}else if(h>0){this.dom.condition.empty().removeAttr("disabled").addClass(this.classes.italic);for(var S=0,B=Object.keys(this.s.conditions);S<B.length;S++){f=B[S];var L=this.s.conditions[f].conditionName;typeof L=="function"&&(L=L(_,this.c.i18n));var R=t("<option>",{text:L,value:f}).addClass(this.classes.option).addClass(this.classes.notItalic);this.s.condition!==void 0&&this.s.condition===L&&(R.prop("selected",!0),this.dom.condition.removeClass(this.classes.italic)),l.push(R)}}else{this.dom.condition.attr("disabled","true").addClass(this.classes.italic);return}for(var q=0,z=l;q<z.length;q++){var G=z[q];this.dom.condition.append(G)}if(F[O].searchBuilder&&F[O].searchBuilder.defaultCondition){var nt=F[O].searchBuilder.defaultCondition;if(typeof nt=="number")this.dom.condition.prop("selectedIndex",nt),this.dom.condition.trigger("change");else if(typeof nt=="string")for(var tt=0;tt<l.length;tt++)for(var et=0,wt=Object.keys(this.s.conditions);et<wt.length;et++){var St=wt[et];if(U=this.s.conditions[St].conditionName,(typeof U=="string"?U:U(_,this.c.i18n))===l[tt].text()&&St===nt){this.dom.condition.prop("selectedIndex",this.dom.condition.children().toArray().indexOf(l[tt][0])).removeClass(this.classes.italic),this.dom.condition.trigger("change"),tt=l.length;break}}}else this.dom.condition.prop("selectedIndex",0)},c.prototype._populateData=function(){var l=this.s.dt.settings()[0].aoColumns,h=this.s.dt.columns(this.c.columns).indexes().toArray();this.dom.data.empty().append(this.dom.dataTitle);for(var _=0;_<l.length;_++)if(this.c.columns===!0||h.includes(_)){var F=l[_],O={index:_,origData:F.data,text:(F.searchBuilderTitle||F.sTitle).replace(/(<([^>]+)>)/ig,"")};this.dom.data.append(t("<option>",{text:O.text,value:O.index}).addClass(this.classes.option).addClass(this.classes.notItalic).prop("origData",F.data).prop("selected",this.s.dataIdx===O.index)),this.s.dataIdx===O.index&&this.dom.dataTitle.removeProp("selected")}},c.prototype._populateValue=function(l){var h=this,_=this.s.filled,F;this.s.filled=!1,setTimeout(function(){h.dom.defaultValue.remove()},50);for(var O=function(E){setTimeout(function(){E!==void 0&&E.remove()},50)},f=0,U=this.dom.value;f<U.length;f++){var X=U[f];O(X)}var Q=this.dom.inputCont.children();if(Q.length>1)for(F=0;F<Q.length;F++)t(Q[F]).remove();for(l!==void 0&&this.s.dt.columns().every(function(E){h.s.dt.settings()[0].aoColumns[E].sTitle===l.data&&(h.s.dataIdx=E)}),this.dom.value=[].concat(this.s.conditions[this.s.condition].init(this,c.updateListener,l!==void 0?l.value:void 0)),l!==void 0&&l.value!==void 0&&(this.s.value=l.value),this.dom.inputCont.empty(),this.dom.value[0]!==void 0&&t(this.dom.value[0]).appendTo(this.dom.inputCont).trigger("dtsb-inserted"),F=1;F<this.dom.value.length;F++)t(this.dom.value[F]).insertAfter(this.dom.value[F-1]).trigger("dtsb-inserted");this.s.filled=this.s.conditions[this.s.condition].isInputValid(this.dom.value,this),this.setListeners(),!this.s.preventRedraw&&_!==this.s.filled&&(this.s.dt.page.info().serverSide||this.doSearch(),this.setListeners())},c.prototype._throttle=function(l,h){h===void 0&&(h=200);var _=null,F=null,O=this;return h===null&&(h=200),function(){for(var f=[],U=0;U<arguments.length;U++)f[U]=arguments[U];var X=+new 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X=t("<select/>").addClass(c.classes.value).addClass(c.classes.dropDown).addClass(c.classes.italic).addClass(c.classes.select).append(l.dom.valueTitle).on("change.dtsb",function(){t(this).removeClass(c.classes.italic),h(l,this)});l.c.greyscale&&X.addClass(c.classes.greyscale);for(var Q=[],E=[],$=0,w=f;$<w.length;$++){var k=w[$],S=U(k,O,typeof l.c.orthogonal=="string"?l.c.orthogonal:l.c.orthogonal.search),B={filter:typeof S=="string"?S.replace(/[\r\n\u2028]/g," "):S,index:k,text:U(k,O,typeof l.c.orthogonal=="string"?l.c.orthogonal:l.c.orthogonal.display)};l.s.type==="array"&&(B.filter=Array.isArray(B.filter)?B.filter:[B.filter],B.text=Array.isArray(B.text)?B.text:[B.text]);var L=function(nt,tt){l.s.type.includes("html")&&nt!==null&&typeof nt=="string"&&nt.replace(/(<([^>]+)>)/ig,"");var et=t("<option>",{type:Array.isArray(nt)?"Array":"String",value:nt}).data("sbv",nt).addClass(l.classes.option).addClass(l.classes.notItalic).html(typeof 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l==null||l.length===0}},"!null":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.number.notEmpty",h.conditions.number.notEmpty)},init:c.initNoValue,inputValue:function(){},isInputValid:function(){return!0},search:function(l){return!(l==null||l.length===0)}}},c.stringConditions={"=":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.equals",h.conditions.string.equals)},init:c.initSelect,inputValue:c.inputValueSelect,isInputValid:c.isInputValidSelect,search:function(l,h){return l===h[0]}},"!=":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.not",h.conditions.string.not)},init:c.initSelect,inputValue:c.inputValueSelect,isInputValid:c.isInputValidInput,search:function(l,h){return l!==h[0]}},starts:{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.startsWith",h.conditions.string.startsWith)},init:c.initInput,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h){return l.toLowerCase().indexOf(h[0].toLowerCase())===0}},"!starts":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.notStartsWith",h.conditions.string.notStartsWith)},init:c.initInput,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h){return l.toLowerCase().indexOf(h[0].toLowerCase())!==0}},contains:{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.contains",h.conditions.string.contains)},init:c.initInput,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h){return l.toLowerCase().includes(h[0].toLowerCase())}},"!contains":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.notContains",h.conditions.string.notContains)},init:c.initInput,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h){return!l.toLowerCase().includes(h[0].toLowerCase())}},ends:{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.endsWith",h.conditions.string.endsWith)},init:c.initInput,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h){return l.toLowerCase().endsWith(h[0].toLowerCase())}},"!ends":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.notEndsWith",h.conditions.string.notEndsWith)},init:c.initInput,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h){return!l.toLowerCase().endsWith(h[0].toLowerCase())}},null:{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.empty",h.conditions.string.empty)},init:c.initNoValue,inputValue:function(){},isInputValid:function(){return!0},search:function(l){return l==null||l.length===0}},"!null":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.notEmpty",h.conditions.string.notEmpty)},init:c.initNoValue,inputValue:function(){},isInputValid:function(){return!0},search:function(l){return!(l==null||l.length===0)}}},c.arrayConditions={contains:{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.array.contains",h.conditions.array.contains)},init:c.initSelectArray,inputValue:c.inputValueSelect,isInputValid:c.isInputValidSelect,search:function(l,h){return l.includes(h[0])}},without:{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.array.without",h.conditions.array.without)},init:c.initSelectArray,inputValue:c.inputValueSelect,isInputValid:c.isInputValidSelect,search:function(l,h){return l.indexOf(h[0])===-1}},"=":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.array.equals",h.conditions.array.equals)},init:c.initSelect,inputValue:c.inputValueSelect,isInputValid:c.isInputValidSelect,search:function(l,h){if(l.length===h[0].length){for(var _=0;_<l.length;_++)if(l[_]!==h[0][_])return!1;return!0}return!1}},"!=":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.array.not",h.conditions.array.not)},init:c.initSelect,inputValue:c.inputValueSelect,isInputValid:c.isInputValidSelect,search:function(l,h){if(l.length===h[0].length){for(var _=0;_<l.length;_++)if(l[_]!==h[0][_])return!0;return!1}return!0}},null:{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.array.empty",h.conditions.array.empty)},init:c.initNoValue,inputValue:function(){},isInputValid:function(){return!0},search:function(l){return l==null||l.length===0}},"!null":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.array.notEmpty",h.conditions.array.notEmpty)},init:c.initNoValue,inputValue:function(){},isInputValid:function(){return!0},search:function(l){return l!=null&&l.length!==0}}},c.defaults={columns:!0,conditions:{array:c.arrayConditions,date:c.dateConditions,html:c.stringConditions,"html-num":c.numConditions,"html-num-fmt":c.numFmtConditions,luxon:c.luxonDateConditions,moment:c.momentDateConditions,num:c.numConditions,"num-fmt":c.numFmtConditions,string:c.stringConditions},depthLimit:!1,enterSearch:!1,filterChanged:void 0,greyscale:!1,i18n:{add:"Add Condition",button:{0:"Search Builder",_:"Search Builder (%d)"},clearAll:"Clear All",condition:"Condition",data:"Data",delete:"&times",deleteTitle:"Delete filtering rule",left:"<",leftTitle:"Outdent criteria",logicAnd:"And",logicOr:"Or",right:">",rightTitle:"Indent criteria",search:"Search",title:{0:"Custom Search Builder",_:"Custom Search Builder (%d)"},value:"Value",valueJoiner:"and"},liveSearch:!0,logic:"AND",orthogonal:{display:"display",search:"filter"},preDefined:!1},c}(),o;function u(c){o=c,c.fn.dataTable}var p=function(){function c(l,h,_,F,O,f,U){return F===void 0&&(F=0),O===void 0&&(O=!1),f===void 0&&(f=1),U===void 0&&(U=void 0),this.classes=o.extend(!0,{},c.classes),this.c=o.extend(!0,{},c.defaults,h),this.s={criteria:[],depth:f,dt:l,index:F,isChild:O,logic:void 0,opts:h,preventRedraw:!1,serverData:U,toDrop:void 0,topGroup:_},this.dom={add:o("<button/>").addClass(this.classes.add).addClass(this.classes.button).attr("type","button"),clear:o("<button>&times</button>").addClass(this.classes.button).addClass(this.classes.clearGroup).attr("type","button"),container:o("<div/>").addClass(this.classes.group),logic:o("<button><div/></button>").addClass(this.classes.logic).addClass(this.classes.button).attr("type","button"),logicContainer:o("<div/>").addClass(this.classes.logicContainer),search:o("<button/>").addClass(this.classes.search).addClass(this.classes.button).attr("type","button").css("display","none")},this.s.topGroup===void 0&&(this.s.topGroup=this.dom.container),this._setup(),this}return c.prototype.destroy=function(){this.dom.add.off(".dtsb"),this.dom.logic.off(".dtsb"),this.dom.search.off(".dtsb"),this.dom.container.trigger("dtsb-destroy").remove(),this.s.criteria=[]},c.prototype.getDetails=function(l){if(l===void 0&&(l=!1),this.s.criteria.length===0)return{};for(var h={criteria:[],logic:this.s.logic},_=0,F=this.s.criteria;_<F.length;_++){var O=F[_];h.criteria.push(O.criteria.getDetails(l))}return h},c.prototype.getNode=function(){return this.dom.container},c.prototype.rebuild=function(l){var h;if(!(l.criteria===void 0||l.criteria===null||Array.isArray(l.criteria)&&l.criteria.length===0)){if(this.s.logic=l.logic,this.dom.logic.children().first().html(this.s.logic==="OR"?this.s.dt.i18n("searchBuilder.logicOr",this.c.i18n.logicOr):this.s.dt.i18n("searchBuilder.logicAnd",this.c.i18n.logicAnd)),Array.isArray(l.criteria))for(var _=0,F=l.criteria;_<F.length;_++)h=F[_],h.logic!==void 0?this._addPrevGroup(h):h.logic===void 0&&this._addPrevCriteria(h);for(var O=0,f=this.s.criteria;O<f.length;O++)h=f[O],h.criteria instanceof i&&(h.criteria.updateArrows(this.s.criteria.length>1),this._setCriteriaListeners(h.criteria))}},c.prototype.redrawContents=function(){if(!this.s.preventRedraw){this.dom.container.children().detach(),this.dom.container.append(this.dom.logicContainer).append(this.dom.add),this.c.liveSearch||this.dom.container.append(this.dom.search),this.s.criteria.sort(function(_,F){return _.criteria.s.index<F.criteria.s.index?-1:_.criteria.s.index>F.criteria.s.index?1:0}),this.setListeners();for(var l=0;l<this.s.criteria.length;l++){var h=this.s.criteria[l].criteria;h instanceof i?(this.s.criteria[l].index=l,this.s.criteria[l].criteria.s.index=l,this.s.criteria[l].criteria.dom.container.insertBefore(this.dom.add),this._setCriteriaListeners(h),this.s.criteria[l].criteria.s.preventRedraw=this.s.preventRedraw,this.s.criteria[l].criteria.rebuild(this.s.criteria[l].criteria.getDetails()),this.s.criteria[l].criteria.s.preventRedraw=!1):h instanceof c&&h.s.criteria.length>0?(this.s.criteria[l].index=l,this.s.criteria[l].criteria.s.index=l,this.s.criteria[l].criteria.dom.container.insertBefore(this.dom.add),h.s.preventRedraw=this.s.preventRedraw,h.redrawContents(),h.s.preventRedraw=!1,this._setGroupListeners(h)):(this.s.criteria.splice(l,1),l--)}this.setupLogic()}},c.prototype.redrawLogic=function(){for(var l=0,h=this.s.criteria;l<h.length;l++){var _=h[l];_.criteria instanceof c&&_.criteria.redrawLogic()}this.setupLogic()},c.prototype.search=function(l,h){return this.s.logic==="AND"?this._andSearch(l,h):this.s.logic==="OR"?this._orSearch(l,h):!0},c.prototype.setupLogic=function(){if(this.dom.logicContainer.remove(),this.dom.clear.remove(),this.s.criteria.length<1){this.s.isChild||(this.dom.container.trigger("dtsb-destroy"),this.dom.container.css("margin-left",0)),this.dom.search.css("display","none");return}this.dom.clear.height("0px"),this.dom.logicContainer.append(this.dom.clear),this.s.isChild||this.dom.search.css("display","inline-block"),this.dom.container.prepend(this.dom.logicContainer);for(var l=0,h=this.s.criteria;l<h.length;l++){var _=h[l];_.criteria instanceof i&&_.criteria.setupButtons()}var F=this.dom.container.outerHeight()-1;this.dom.logicContainer.width(F),this._setLogicListener(),this.dom.container.css("margin-left",this.dom.logicContainer.outerHeight(!0));var O=this.dom.logicContainer.offset(),f=O.left,U=this.dom.container.offset().left,X=f-U,Q=f-X-this.dom.logicContainer.outerHeight(!0);this.dom.logicContainer.offset({left:Q});var E=this.dom.logicContainer.next(),$=O.top,w=o(E).offset().top,k=$-w,S=$-k;this.dom.logicContainer.offset({top:S}),this.dom.clear.outerHeight(this.dom.logicContainer.height()),this._setClearListener()},c.prototype.setListeners=function(){var l=this;this.dom.add.unbind("click"),this.dom.add.on("click.dtsb",function(){return l.s.isChild||l.dom.container.prepend(l.dom.logicContainer),l.addCriteria(),l.dom.container.trigger("dtsb-add"),l.s.dt.state.save(),!1}),this.dom.search.off("click.dtsb").on("click.dtsb",function(){l.s.dt.draw()});for(var h=0,_=this.s.criteria;h<_.length;h++){var F=_[h];F.criteria.setListeners()}this._setClearListener(),this._setLogicListener()},c.prototype.addCriteria=function(l){l===void 0&&(l=null);var h=l===null?this.s.criteria.length:l.s.index,_=new i(this.s.dt,this.s.opts,this.s.topGroup,h,this.s.depth,this.s.serverData,this.c.liveSearch);l!==null&&(_.c=l.c,_.s=l.s,_.s.depth=this.s.depth,_.classes=l.classes),_.populate();for(var F=!1,O=0;O<this.s.criteria.length;O++)O===0&&this.s.criteria[O].criteria.s.index>_.s.index?(_.getNode().insertBefore(this.s.criteria[O].criteria.dom.container),F=!0):O<this.s.criteria.length-1&&this.s.criteria[O].criteria.s.index<_.s.index&&this.s.criteria[O+1].criteria.s.index>_.s.index&&(_.getNode().insertAfter(this.s.criteria[O].criteria.dom.container),F=!0);F||_.getNode().insertBefore(this.dom.add),this.s.criteria.push({criteria:_,index:h}),this.s.criteria=this.s.criteria.sort(function(Q,E){return Q.criteria.s.index-E.criteria.s.index});for(var f=0,U=this.s.criteria;f<U.length;f++){var X=U[f];X.criteria instanceof i&&X.criteria.updateArrows(this.s.criteria.length>1)}this._setCriteriaListeners(_),_.setListeners(),this.setupLogic()},c.prototype.checkFilled=function(){for(var l=0,h=this.s.criteria;l<h.length;l++){var _=h[l];if(_.criteria instanceof i&&_.criteria.s.filled||_.criteria instanceof c&&_.criteria.checkFilled())return!0}return!1},c.prototype.count=function(){for(var l=0,h=0,_=this.s.criteria;h<_.length;h++){var F=_[h];F.criteria instanceof c?l+=F.criteria.count():l++}return l},c.prototype._addPrevGroup=function(l){var h=this.s.criteria.length,_=new c(this.s.dt,this.c,this.s.topGroup,h,!0,this.s.depth+1,this.s.serverData);this.s.criteria.push({criteria:_,index:h,logic:_.s.logic}),_.rebuild(l),this.s.criteria[h].criteria=_,this.s.topGroup.trigger("dtsb-redrawContents"),this._setGroupListeners(_)},c.prototype._addPrevCriteria=function(l){var h=this.s.criteria.length,_=new i(this.s.dt,this.s.opts,this.s.topGroup,h,this.s.depth,this.s.serverData);_.populate(),this.s.criteria.push({criteria:_,index:h}),_.s.preventRedraw=this.s.preventRedraw,_.rebuild(l),_.s.preventRedraw=!1,this.s.criteria[h].criteria=_,this.s.preventRedraw||this.s.topGroup.trigger("dtsb-redrawContents")},c.prototype._andSearch=function(l,h){if(this.s.criteria.length===0)return!0;for(var _=0,F=this.s.criteria;_<F.length;_++){var O=F[_];if(!(O.criteria instanceof i&&!O.criteria.s.filled)&&!O.criteria.search(l,h))return!1}return!0},c.prototype._orSearch=function(l,h){if(this.s.criteria.length===0)return!0;for(var _=!1,F=0,O=this.s.criteria;F<O.length;F++){var f=O[F];if(f.criteria instanceof i&&f.criteria.s.filled){if(_=!0,f.criteria.search(l,h))return!0}else if(f.criteria instanceof c&&f.criteria.checkFilled()&&(_=!0,f.criteria.search(l,h)))return!0}return!_},c.prototype._removeCriteria=function(l,h){h===void 0&&(h=!1);var _;if(this.s.criteria.length<=1&&this.s.isChild)this.destroy();else{var F=void 0;for(_=0;_<this.s.criteria.length;_++)this.s.criteria[_].index===l.s.index&&(!h||this.s.criteria[_].criteria instanceof c)&&(F=_);for(F!==void 0&&this.s.criteria.splice(F,1),_=0;_<this.s.criteria.length;_++)this.s.criteria[_].index=_,this.s.criteria[_].criteria.s.index=_}},c.prototype._setCriteriaListeners=function(l){var h=this;l.dom.delete.unbind("click").on("click.dtsb",function(){h._removeCriteria(l),l.dom.container.remove();for(var _=0,F=h.s.criteria;_<F.length;_++){var O=F[_];O.criteria instanceof i&&O.criteria.updateArrows(h.s.criteria.length>1)}return l.destroy(),h.s.dt.draw(),h.s.topGroup.trigger("dtsb-redrawContents"),!1}),l.dom.right.unbind("click").on("click.dtsb",function(){var _=l.s.index,F=new c(h.s.dt,h.s.opts,h.s.topGroup,l.s.index,!0,h.s.depth+1,h.s.serverData);return F.addCriteria(l),h.s.criteria[_].criteria=F,h.s.criteria[_].logic="AND",h.s.topGroup.trigger("dtsb-redrawContents"),h._setGroupListeners(F),!1}),l.dom.left.unbind("click").on("click.dtsb",function(){h.s.toDrop=new i(h.s.dt,h.s.opts,h.s.topGroup,l.s.index,void 0,h.s.serverData),h.s.toDrop.s=l.s,h.s.toDrop.c=l.c,h.s.toDrop.classes=l.classes,h.s.toDrop.populate();var _=h.s.toDrop.s.index;return h.dom.container.trigger("dtsb-dropCriteria"),l.s.index=_,h._removeCriteria(l),h.s.topGroup.trigger("dtsb-redrawContents"),h.s.dt.draw(),!1})},c.prototype._setClearListener=function(){var l=this;this.dom.clear.unbind("click").on("click.dtsb",function(){return l.s.isChild?(l.destroy(),l.s.topGroup.trigger("dtsb-redrawContents"),!1):(l.dom.container.trigger("dtsb-clearContents"),!1)})},c.prototype._setGroupListeners=function(l){var h=this;l.dom.add.unbind("click").on("click.dtsb",function(){return h.setupLogic(),h.dom.container.trigger("dtsb-add"),!1}),l.dom.container.unbind("dtsb-add").on("dtsb-add.dtsb",function(){return h.setupLogic(),h.dom.container.trigger("dtsb-add"),!1}),l.dom.container.unbind("dtsb-destroy").on("dtsb-destroy.dtsb",function(){return h._removeCriteria(l,!0),l.dom.container.remove(),h.setupLogic(),!1}),l.dom.container.unbind("dtsb-dropCriteria").on("dtsb-dropCriteria.dtsb",function(){var _=l.s.toDrop;return _.s.index=l.s.index,_.updateArrows(h.s.criteria.length>1),h.addCriteria(_),!1}),l.setListeners()},c.prototype._setup=function(){this.setListeners(),this.dom.add.html(this.s.dt.i18n("searchBuilder.add",this.c.i18n.add)),this.dom.search.html(this.s.dt.i18n("searchBuilder.search",this.c.i18n.search)),this.dom.logic.children().first().html(this.c.logic==="OR"?this.s.dt.i18n("searchBuilder.logicOr",this.c.i18n.logicOr):this.s.dt.i18n("searchBuilder.logicAnd",this.c.i18n.logicAnd)),this.s.logic=this.c.logic==="OR"?"OR":"AND",this.c.greyscale&&this.dom.logic.addClass(this.classes.greyscale),this.dom.logicContainer.append(this.dom.logic).append(this.dom.clear),this.s.isChild&&this.dom.container.append(this.dom.logicContainer),this.dom.container.append(this.dom.add),this.c.liveSearch||this.dom.container.append(this.dom.search)},c.prototype._setLogicListener=function(){var l=this;this.dom.logic.unbind("click").on("click.dtsb",function(){l._toggleLogic(),l.s.dt.draw();for(var h=0,_=l.s.criteria;h<_.length;h++){var F=_[h];F.criteria.setListeners()}})},c.prototype._toggleLogic=function(){this.s.logic==="OR"?(this.s.logic="AND",this.dom.logic.children().first().html(this.s.dt.i18n("searchBuilder.logicAnd",this.c.i18n.logicAnd))):this.s.logic==="AND"&&(this.s.logic="OR",this.dom.logic.children().first().html(this.s.dt.i18n("searchBuilder.logicOr",this.c.i18n.logicOr)))},c.version="1.1.0",c.classes={add:"dtsb-add",button:"dtsb-button",clearGroup:"dtsb-clearGroup",greyscale:"dtsb-greyscale",group:"dtsb-group",inputButton:"dtsb-iptbtn",logic:"dtsb-logic",logicContainer:"dtsb-logicContainer",search:"dtsb-search"},c.defaults={columns:!0,conditions:{date:i.dateConditions,html:i.stringConditions,"html-num":i.numConditions,"html-num-fmt":i.numFmtConditions,luxon:i.luxonDateConditions,moment:i.momentDateConditions,num:i.numConditions,"num-fmt":i.numFmtConditions,string:i.stringConditions},depthLimit:!1,enterSearch:!1,filterChanged:void 0,greyscale:!1,liveSearch:!0,i18n:{add:"Add Condition",button:{0:"Search Builder",_:"Search Builder (%d)"},clearAll:"Clear All",condition:"Condition",data:"Data",delete:"&times",deleteTitle:"Delete filtering rule",left:"<",leftTitle:"Outdent criteria",logicAnd:"And",logicOr:"Or",right:">",rightTitle:"Indent criteria",search:"Search",title:{0:"Custom Search Builder",_:"Custom Search Builder (%d)"},value:"Value",valueJoiner:"and"},logic:"AND",orthogonal:{display:"display",search:"filter"},preDefined:!1},c}(),b,g;function m(c){b=c,g=c.fn.DataTable}var C=function(){function c(l,h){var _=this;if(!g||!g.versionCheck||!g.versionCheck("2"))throw new Error("SearchBuilder requires DataTables 2 or newer");var F=new g.Api(l);if(this.classes=b.extend(!0,{},c.classes),this.c=b.extend(!0,{},c.defaults,h),this.dom={clearAll:b('<button type="button">'+F.i18n("searchBuilder.clearAll",this.c.i18n.clearAll)+"</button>").addClass(this.classes.clearAll).addClass(this.classes.button).attr("type","button"),container:b("<div/>").addClass(this.classes.container),title:b("<div/>").addClass(this.classes.title),titleRow:b("<div/>").addClass(this.classes.titleRow),topGroup:void 0},this.s={dt:F,opts:h,search:void 0,serverData:void 0,topGroup:void 0},F.settings()[0]._searchBuilder===void 0)return F.settings()[0]._searchBuilder=this,this.s.dt.page.info().serverSide&&(this.s.dt.on("preXhr.dtsb",function(O,f,U){var X=_.s.dt.state.loaded();X&&X.searchBuilder&&(U.searchBuilder=_._collapseArray(X.searchBuilder))}),this.s.dt.on("xhr.dtsb",function(O,f,U){U&&U.searchBuilder&&U.searchBuilder.options&&(_.s.serverData=U.searchBuilder.options)})),this.s.dt.settings()[0]._bInitComplete?this._setUp():F.one("init.dt",function(){_._setUp()}),this}return c.prototype.getDetails=function(l){return l===void 0&&(l=!1),this.s.topGroup.getDetails(l)},c.prototype.getNode=function(){return this.dom.container},c.prototype.rebuild=function(l){return this.dom.clearAll.click(),l==null?this:(this.s.topGroup.s.preventRedraw=!0,this.s.topGroup.rebuild(l),this.s.topGroup.s.preventRedraw=!1,this._checkClear(),this._updateTitle(this.s.topGroup.count()),this.s.topGroup.redrawContents(),this.s.dt.draw(!1),this.s.topGroup.setListeners(),this)},c.prototype._applyPreDefDefaults=function(l){var h=this;l.criteria!==void 0&&l.logic===void 0&&(l.logic="AND");for(var _=function(X){X.criteria!==void 0?X=F._applyPreDefDefaults(X):F.s.dt.columns().every(function(Q){h.s.dt.settings()[0].aoColumns[Q].sTitle===X.data&&(X.dataIdx=Q)})},F=this,O=0,f=l.criteria;O<f.length;O++){var U=f[O];_(U)}return l},c.prototype._setUp=function(l){var h=this;if(l===void 0&&(l=!0),typeof this.s.dt.column().type!="function"&&at.Api.registerPlural("columns().types()","column().type()",function(){return this.iterator("column",function(w,k){return w.aoColumns[k].sType},1)}),!g.DateTime){var _=this.s.dt.columns().types().toArray();if(_===void 0||_.includes(void 0)||_.includes(null)){_=[];for(var F=0,O=this.s.dt.settings()[0].aoColumns;F<O.length;F++){var f=O[F];_.push(f.searchBuilderType!==void 0?f.searchBuilderType:f.sType)}}var U=this.s.dt.columns().toArray();(_===void 0||_.includes(void 0)||_.includes(null))&&(b.fn.dataTable.ext.oApi&&b.fn.dataTable.ext.oApi._fnColumnTypes(this.s.dt.settings()[0]),_=this.s.dt.columns().types().toArray());for(var X=0;X<U[0].length;X++){var Q=U[0][X],E=_[Q];if((this.c.columns===!0||Array.isArray(this.c.columns)&&this.c.columns.includes(X))&&(E.includes("date")||E.includes("moment")||E.includes("luxon")))throw alert("SearchBuilder Requires DateTime when used with dates."),new Error("SearchBuilder requires DateTime")}}if(this.s.topGroup=new p(this.s.dt,this.c,void 0,void 0,void 0,void 0,this.s.serverData),this._setClearListener(),this.s.dt.on("stateSaveParams.dtsb",function(w,k,S){S.searchBuilder=h.getDetails(),S.scroller?S.start=h.s.dt.state().start:S.page=h.s.dt.page()}),this.s.dt.on("stateLoadParams.dtsb",function(w,k,S){h.rebuild(S.searchBuilder)}),this._build(),this.s.dt.on("preXhr.dtsb",function(w,k,S){h.s.dt.page.info().serverSide&&(S.searchBuilder=h._collapseArray(h.getDetails(!0)))}),this.s.dt.on("columns-reordered",function(){h.rebuild(h.getDetails())}),l){var $=this.s.dt.state.loaded();$!==null&&$.searchBuilder!==void 0?(this.s.topGroup.rebuild($.searchBuilder),this.s.topGroup.dom.container.trigger("dtsb-redrawContents"),this.s.dt.page.info().serverSide||($.page?this.s.dt.page($.page).draw("page"):this.s.dt.scroller&&$.scroller&&this.s.dt.scroller().scrollToRow($.scroller.topRow)),this.s.topGroup.setListeners()):this.c.preDefined!==!1&&(this.c.preDefined=this._applyPreDefDefaults(this.c.preDefined),this.rebuild(this.c.preDefined))}this._setEmptyListener(),this.s.dt.state.save()},c.prototype._collapseArray=function(l){if(l.logic===void 0)l.value!==void 0&&(l.value.sort(function(_,F){return isNaN(+_)||(_=+_,F=+F),_<F?-1:F<_?1:0}),l.value1=l.value[0],l.value2=l.value[1]);else for(var h=0;h<l.criteria.length;h++)l.criteria[h]=this._collapseArray(l.criteria[h]);return l},c.prototype._updateTitle=function(l){this.dom.title.html(this.s.dt.i18n("searchBuilder.title",this.c.i18n.title,l))},c.prototype._build=function(){var l=this;this.dom.clearAll.remove(),this.dom.container.empty();var h=this.s.topGroup.count();this._updateTitle(h),this.dom.titleRow.append(this.dom.title),this.dom.container.append(this.dom.titleRow),this.dom.topGroup=this.s.topGroup.getNode(),this.dom.container.append(this.dom.topGroup),this._setRedrawListener();var _=this.s.dt.table(0).node();b.fn.dataTable.ext.search.includes(this.s.search)||(this.s.search=function(F,O,f){return F.nTable!==_?!0:l.s.topGroup.search(O,f)},b.fn.dataTable.ext.search.push(this.s.search)),this.s.dt.on("destroy.dtsb",function(){l.dom.container.remove(),l.dom.clearAll.remove();for(var F=b.fn.dataTable.ext.search.indexOf(l.s.search);F!==-1;)b.fn.dataTable.ext.search.splice(F,1),F=b.fn.dataTable.ext.search.indexOf(l.s.search);l.s.dt.off(".dtsb"),b(l.s.dt.table().node()).off(".dtsb")})},c.prototype._checkClear=function(){this.s.topGroup.s.criteria.length>0?(this.dom.clearAll.insertAfter(this.dom.title),this._setClearListener()):this.dom.clearAll.remove()},c.prototype._filterChanged=function(l){var h=this.c.filterChanged;typeof h=="function"&&h(l,this.s.dt.i18n("searchBuilder.button",this.c.i18n.button,l))},c.prototype._setClearListener=function(){var l=this;this.dom.clearAll.unbind("click"),this.dom.clearAll.on("click.dtsb",function(){return l.s.topGroup=new p(l.s.dt,l.c,void 0,void 0,void 0,void 0,l.s.serverData),l._build(),l.s.dt.draw(),l.s.topGroup.setListeners(),l.dom.clearAll.remove(),l._setEmptyListener(),l._filterChanged(0),!1})},c.prototype._setRedrawListener=function(){var l=this;this.s.topGroup.dom.container.unbind("dtsb-redrawContents"),this.s.topGroup.dom.container.on("dtsb-redrawContents.dtsb",function(){l._checkClear(),l.s.topGroup.redrawContents(),l.s.topGroup.setupLogic(),l._setEmptyListener();var h=l.s.topGroup.count();l._updateTitle(h),l._filterChanged(h),l.s.dt.page.info().serverSide||l.s.dt.draw(),l.s.dt.state.save()}),this.s.topGroup.dom.container.unbind("dtsb-redrawContents-noDraw"),this.s.topGroup.dom.container.on("dtsb-redrawContents-noDraw.dtsb",function(){l._checkClear(),l.s.topGroup.s.preventRedraw=!0,l.s.topGroup.redrawContents(),l.s.topGroup.s.preventRedraw=!1,l.s.topGroup.setupLogic(),l._setEmptyListener();var h=l.s.topGroup.count();l._updateTitle(h),l._filterChanged(h)}),this.s.topGroup.dom.container.unbind("dtsb-redrawLogic"),this.s.topGroup.dom.container.on("dtsb-redrawLogic.dtsb",function(){l.s.topGroup.redrawLogic();var h=l.s.topGroup.count();l._updateTitle(h),l._filterChanged(h)}),this.s.topGroup.dom.container.unbind("dtsb-add"),this.s.topGroup.dom.container.on("dtsb-add.dtsb",function(){var h=l.s.topGroup.count();l._updateTitle(h),l._filterChanged(h),l._checkClear()}),this.s.dt.on("postEdit.dtsb postCreate.dtsb postRemove.dtsb",function(){l.s.topGroup.redrawContents()}),this.s.topGroup.dom.container.unbind("dtsb-clearContents"),this.s.topGroup.dom.container.on("dtsb-clearContents.dtsb",function(){l._setUp(!1),l._filterChanged(0),l.s.dt.draw()})},c.prototype._setEmptyListener=function(){var l=this;this.s.topGroup.dom.add.on("click.dtsb",function(){l._checkClear()}),this.s.topGroup.dom.container.on("dtsb-destroy.dtsb",function(){l.dom.clearAll.remove()})},c.version="1.8.0",c.classes={button:"dtsb-button",clearAll:"dtsb-clearAll",container:"dtsb-searchBuilder",inputButton:"dtsb-iptbtn",title:"dtsb-title",titleRow:"dtsb-titleRow"},c.defaults={columns:!0,conditions:{date:i.dateConditions,html:i.stringConditions,"html-num":i.numConditions,"html-num-fmt":i.numFmtConditions,luxon:i.luxonDateConditions,moment:i.momentDateConditions,num:i.numConditions,"num-fmt":i.numFmtConditions,string:i.stringConditions},depthLimit:!1,enterSearch:!1,filterChanged:void 0,greyscale:!1,liveSearch:!0,i18n:{add:"Add Condition",button:{0:"Search Builder",_:"Search Builder (%d)"},clearAll:"Clear All",condition:"Condition",conditions:{array:{contains:"Contains",empty:"Empty",equals:"Equals",not:"Not",notEmpty:"Not Empty",without:"Without"},date:{after:"After",before:"Before",between:"Between",empty:"Empty",equals:"Equals",not:"Not",notBetween:"Not Between",notEmpty:"Not Empty"},number:{between:"Between",empty:"Empty",equals:"Equals",gt:"Greater Than",gte:"Greater Than Equal To",lt:"Less Than",lte:"Less Than Equal To",not:"Not",notBetween:"Not Between",notEmpty:"Not Empty"},string:{contains:"Contains",empty:"Empty",endsWith:"Ends With",equals:"Equals",not:"Not",notContains:"Does Not Contain",notEmpty:"Not Empty",notEndsWith:"Does Not End With",notStartsWith:"Does Not Start With",startsWith:"Starts With"}},data:"Data",delete:"&times",deleteTitle:"Delete filtering rule",left:"<",leftTitle:"Outdent criteria",logicAnd:"And",logicOr:"Or",right:">",rightTitle:"Indent criteria",search:"Search",title:{0:"Custom Search Builder",_:"Custom Search Builder (%d)"},value:"Value",valueJoiner:"and"},logic:"AND",orthogonal:{display:"display",search:"filter"},preDefined:!1},c}();m(cn),u(cn),s(cn);var y=cn.fn.dataTable;at.SearchBuilder=C,y.SearchBuilder=C,at.Group=p,y.Group=p,at.Criteria=i,y.Criteria=i;var T=at.Api.register;at.ext.searchBuilder={conditions:{}},at.ext.buttons.searchBuilder={action:function(c,l,h,_){this.popover(_._searchBuilder.getNode(),{align:"container",span:"container"});var F=_._searchBuilder.s.topGroup;F!==void 0&&F.dom.container.trigger("dtsb-redrawContents-noDraw"),F.s.criteria.length===0&&cn("."+cn.fn.dataTable.Group.classes.add.replace(/ /g,".")).click()},config:{},init:function(c,l,h){var _=new at.SearchBuilder(c,cn.extend({filterChanged:function(F,O){c.button(l).text(O)}},h.config));c.button(l).text(h.text||c.i18n("searchBuilder.button",_.c.i18n.button,0)),h._searchBuilder=_},text:null},T("searchBuilder.getDetails()",function(c){c===void 0&&(c=!1);var l=this.context[0];return l._searchBuilder?l._searchBuilder.getDetails(c):null}),T("searchBuilder.rebuild()",function(c){var l=this.context[0];return l._searchBuilder===void 0?null:(l._searchBuilder.rebuild(c),this)}),T("searchBuilder.container()",function(){var c=this.context[0];return c._searchBuilder?c._searchBuilder.getNode():null});function P(c,l){var h=new at.Api(c),_=l||h.init().searchBuilder||at.defaults.searchBuilder,F=new C(h,_),O=F.getNode();return O}cn(document).on("preInit.dt.dtsp",function(c,l){c.namespace==="dt"&&(l.oInit.searchBuilder||at.defaults.searchBuilder)&&(l._searchBuilder||P(l))}),at.ext.feature.push({cFeature:"Q",fnInit:P}),at.feature&&at.feature.register("searchBuilder",P)})();var sd=ie(ae(),1);var Zs=ie(ae(),1);var Ze=Zs.default;(function(){"use strict";var t,e;function n(w){t=w,e=w.fn.dataTable}var r=function(){function w(k,S,B,L,R){var q=this;if(R===void 0&&(R=null),!e||!e.versionCheck||!e.versionCheck("1.10.0"))throw new Error("SearchPane requires DataTables 1.10 or newer");if(!e.select)throw new Error("SearchPane requires Select");var z=new e.Api(k);this.classes=t.extend(!0,{},w.classes),this.c=t.extend(!0,{},w.defaults,S,R),S&&S.hideCount&&S.viewCount===void 0&&(this.c.viewCount=!this.c.hideCount);var G=z.columns().eq(0).toArray().length;this.s={colExists:B<G,colOpts:void 0,customPaneSettings:R,displayed:!1,dt:z,dtPane:void 0,firstSet:!0,index:B,indexes:[],listSet:!1,name:void 0,rowData:{arrayFilter:[],arrayOriginal:[],bins:{},binsOriginal:{},filterMap:new Map,totalOptions:0},scrollTop:0,searchFunction:void 0,selections:[],serverSelect:[],serverSelecting:!1,tableLength:null,updating:!1},this.s.colOpts=this.s.colExists?this._getOptions():this._getBonusOptions(),this.dom={buttonGroup:t("<div/>").addClass(this.classes.buttonGroup),clear:t('<button type="button">&#215;</button>').attr("disabled","true").addClass(this.classes.disabledButton).addClass(this.classes.paneButton).addClass(this.classes.clearButton).html(this.s.dt.i18n("searchPanes.clearPane",this.c.i18n.clearPane)),collapseButton:t('<button type="button"><span class="'+this.classes.caret+'">&#x5e;</span></button>').addClass(this.classes.paneButton).addClass(this.classes.collapseButton),container:t("<div/>").addClass(this.classes.container).addClass(this.s.colOpts.className).addClass(this.classes.layout+(parseInt(this.c.layout.split("-")[1],10)<10?this.c.layout:this.c.layout.split("-")[0]+"-9")).addClass(this.s.customPaneSettings&&this.s.customPaneSettings.className?this.s.customPaneSettings.className:""),countButton:t('<button type="button"><span></span></button>').addClass(this.classes.paneButton).addClass(this.classes.countButton),dtP:t('<table width="100%"><thead><tr><th></th><th></th></tr></thead></table>'),lower:t("<div/>").addClass(this.classes.subRow2).addClass(this.classes.narrowButton),nameButton:t('<button type="button"><span></span></button>').addClass(this.classes.paneButton).addClass(this.classes.nameButton),panesContainer:t(L),searchBox:t("<input/>").addClass(this.classes.paneInputButton).addClass(this.classes.search),searchButton:t('<button type="button"><span></span></button>').addClass(this.classes.searchIcon).addClass(this.classes.paneButton),searchCont:t("<div/>").addClass(this.classes.searchCont),searchLabelCont:t("<div/>").addClass(this.classes.searchLabelCont),topRow:t("<div/>").addClass(this.classes.topRow),upper:t("<div/>").addClass(this.classes.subRow1).addClass(this.classes.narrowSearch)};var nt="";this.s.colExists?(nt=t(this.s.dt.column(this.s.index).header()).text(),this.dom.dtP.find("th").eq(0).text(nt)):(nt=this.s.customPaneSettings.header||"Custom Pane",this.dom.dtP.find("th").eq(0).html(nt)),this.s.colOpts.name?this.s.name=this.s.colOpts.name:this.s.customPaneSettings&&this.s.customPaneSettings.name?this.s.name=this.s.customPaneSettings.name:this.s.name=nt;var tt=this.s.dt.table(0).node();return this.s.searchFunction=function(et,wt,St){if(q.s.selections.length===0||et.nTable!==tt)return!0;var Tt=null;return q.s.colExists&&(Tt=wt[q.s.index],q.s.colOpts.orthogonal.filter!=="filter"&&(Tt=q.s.rowData.filterMap.get(St),Tt instanceof t.fn.dataTable.Api&&(Tt=Tt.toArray()))),q._search(Tt,St)},t.fn.dataTable.ext.search.push(this.s.searchFunction),this.c.clear&&this.dom.clear.on("click.dtsp",function(){var et=q.dom.container.find("."+q.classes.search.replace(/\s+/g,"."));et.each(function(){t(this).val("").trigger("input")}),q.clearPane()}),this.s.dt.on("draw.dtsp",function(){return q.adjustTopRow()}),this.s.dt.on("buttons-action.dtsp",function(){return q.adjustTopRow()}),this.s.dt.on("column-reorder.dtsp",function(et,wt,St){q.s.index=St.mapping[q.s.index]}),this}return w.prototype.addRow=function(k,S,B,L,R,q,z){q||(q=this.s.rowData.bins[S]?this.s.rowData.bins[S]:0),z||(z=this._getShown(S));for(var G,nt=0,tt=this.s.indexes;nt<tt.length;nt++){var et=tt[nt];et.filter===S&&(G=et.index)}return G===void 0&&(G=this.s.indexes.length,this.s.indexes.push({filter:S,index:G})),this.s.dtPane.row.add({className:R,display:k!==""?k:this.emptyMessage(),filter:S,index:G,shown:z,sort:B,total:q,type:L})},w.prototype.adjustTopRow=function(){var k=this.dom.container.find("."+this.classes.subRowsContainer.replace(/\s+/g,".")),S=this.dom.container.find("."+this.classes.subRow1.replace(/\s+/g,".")),B=this.dom.container.find("."+this.classes.subRow2.replace(/\s+/g,".")),L=this.dom.container.find("."+this.classes.topRow.replace(/\s+/g,"."));(t(k[0]).width()<252||t(L[0]).width()<252)&&t(k[0]).width()!==0?(t(k[0]).addClass(this.classes.narrow),t(S[0]).addClass(this.classes.narrowSub).removeClass(this.classes.narrowSearch),t(B[0]).addClass(this.classes.narrowSub).removeClass(this.classes.narrowButton)):(t(k[0]).removeClass(this.classes.narrow),t(S[0]).removeClass(this.classes.narrowSub).addClass(this.classes.narrowSearch),t(B[0]).removeClass(this.classes.narrowSub).addClass(this.classes.narrowButton))},w.prototype.clearData=function(){this.s.rowData={arrayFilter:[],arrayOriginal:[],bins:{},binsOriginal:{},filterMap:new Map,totalOptions:0}},w.prototype.clearPane=function(){return this.s.dtPane.rows({selected:!0}).deselect(),this.updateTable(),this},w.prototype.collapse=function(){var k=this;!this.s.displayed||!this.c.collapse&&this.s.colOpts.collapse!==!0||this.s.colOpts.collapse===!1||(t(this.s.dtPane.table().container()).addClass(this.classes.hidden),this.dom.topRow.addClass(this.classes.bordered),this.dom.nameButton.addClass(this.classes.disabledButton),this.dom.countButton.addClass(this.classes.disabledButton),this.dom.searchButton.addClass(this.classes.disabledButton),this.dom.collapseButton.addClass(this.classes.rotated),this.dom.topRow.one("click.dtsp",function(){return k.show()}),this.dom.topRow.trigger("collapse.dtsps"))},w.prototype.destroy=function(){this.s.dtPane&&this.s.dtPane.off(".dtsp"),this.s.dt.off(".dtsp"),this.dom.clear.off(".dtsp"),this.dom.nameButton.off(".dtsp"),this.dom.countButton.off(".dtsp"),this.dom.searchButton.off(".dtsp"),this.dom.collapseButton.off(".dtsp"),t(this.s.dt.table().node()).off(".dtsp"),this.dom.container.detach();for(var k=t.fn.dataTable.ext.search.indexOf(this.s.searchFunction);k!==-1;)t.fn.dataTable.ext.search.splice(k,1),k=t.fn.dataTable.ext.search.indexOf(this.s.searchFunction);this.s.dtPane&&this.s.dtPane.destroy(),this.s.listSet=!1},w.prototype.emptyMessage=function(){var k=this.c.i18n.emptyMessage;return this.c.emptyMessage&&(k=this.c.emptyMessage),this.s.colOpts.emptyMessage!==!1&&this.s.colOpts.emptyMessage!==null&&(k=this.s.colOpts.emptyMessage),this.s.dt.i18n("searchPanes.emptyMessage",k)},w.prototype.getPaneCount=function(){return this.s.dtPane?this.s.dtPane.rows({selected:!0}).data().toArray().length:0},w.prototype.rebuildPane=function(k,S){k===void 0&&(k=null),S===void 0&&(S=!1),this.clearData();var B=[];this.s.serverSelect=[];var L=null;return this.s.dtPane&&(S&&(this.s.dt.page.info().serverSide?this.s.serverSelect=this.s.dtPane.rows({selected:!0}).data().toArray():B=this.s.dtPane.rows({selected:!0}).data().toArray()),this.s.dtPane.clear().destroy(),L=this.dom.container.prev(),this.destroy(),this.s.dtPane=void 0,t.fn.dataTable.ext.search.push(this.s.searchFunction)),this.dom.container.removeClass(this.classes.hidden),this.s.displayed=!1,this._buildPane(this.s.dt.page.info().serverSide?this.s.serverSelect:B,k,L),this},w.prototype.resize=function(k){this.c.layout=k,this.dom.container.removeClass().addClass(this.classes.show).addClass(this.classes.container).addClass(this.s.colOpts.className).addClass(this.classes.layout+(parseInt(k.split("-")[1],10)<10?k:k.split("-")[0]+"-9")).addClass(this.s.customPaneSettings!==null&&this.s.customPaneSettings.className?this.s.customPaneSettings.className:""),this.adjustTopRow()},w.prototype.setListeners=function(){var k=this;this.s.dtPane&&(this.s.dtPane.off("select.dtsp").on("select.dtsp",function(){clearTimeout(k.s.deselectTimeout),k._updateSelection(!k.s.updating),k.dom.clear.removeClass(k.classes.disabledButton).removeAttr("disabled")}),this.s.dtPane.off("deselect.dtsp").on("deselect.dtsp",function(){k.s.deselectTimeout=setTimeout(function(){k._updateSelection(!0),k.s.dtPane.rows({selected:!0}).data().toArray().length===0&&k.dom.clear.addClass(k.classes.disabledButton).attr("disabled","true")},50)}),this.s.firstSet&&(this.s.firstSet=!1,this.s.dt.on("stateSaveParams.dtsp",function(S,B,L){if(t.isEmptyObject(L)){k.s.dtPane.state.clear();return}var R,q,z=[],G,nt,tt;k.s.dtPane&&(z=k.s.dtPane.rows({selected:!0}).data().map(function(wt){return wt.filter!==null?wt.filter.toString():null}).toArray(),nt=k.dom.searchBox.val(),q=k.s.dtPane.order(),R=k.s.rowData.binsOriginal,tt=k.s.rowData.arrayOriginal,G=k.dom.collapseButton.hasClass(k.classes.rotated)),L.searchPanes===void 0&&(L.searchPanes={}),L.searchPanes.panes===void 0&&(L.searchPanes.panes=[]);for(var et=0;et<L.searchPanes.panes.length;et++)L.searchPanes.panes[et].id===k.s.index&&(L.searchPanes.panes.splice(et,1),et--);L.searchPanes.panes.push({arrayFilter:tt,bins:R,collapsed:G,id:k.s.index,order:q,searchTerm:nt,selected:z})})),this.s.dtPane.off("user-select.dtsp").on("user-select.dtsp",function(S,B,L,R,q){q.stopPropagation()}),this.s.dtPane.off("draw.dtsp").on("draw.dtsp",function(){return k.adjustTopRow()}),this.dom.nameButton.off("click.dtsp").on("click.dtsp",function(){var S=k.s.dtPane.order()[0][1];k.s.dtPane.order([[0,S==="asc"?"desc":"asc"]]).draw(),k.s.dt.state.save()}),this.dom.countButton.off("click.dtsp").on("click.dtsp",function(){var S=k.s.dtPane.order()[0][1];k.s.dtPane.order([[1,S==="asc"?"desc":"asc"]]).draw(),k.s.dt.state.save()}),this.dom.collapseButton.off("click.dtsp").on("click.dtsp",function(S){S.stopPropagation();var B=t(k.s.dtPane.table().container());B.toggleClass(k.classes.hidden),k.dom.topRow.toggleClass(k.classes.bordered),k.dom.nameButton.toggleClass(k.classes.disabledButton),k.dom.countButton.toggleClass(k.classes.disabledButton),k.dom.searchButton.toggleClass(k.classes.disabledButton),k.dom.collapseButton.toggleClass(k.classes.rotated),B.hasClass(k.classes.hidden)?k.dom.topRow.on("click.dtsp",function(){return k.dom.collapseButton.click()}):k.dom.topRow.off("click.dtsp"),k.s.dt.state.save(),k.dom.topRow.trigger("collapse.dtsps")}),this.dom.clear.off("click.dtsp").on("click.dtsp",function(){var S=k.dom.container.find("."+k.classes.search.replace(/ /g,"."));S.each(function(){t(this).val("").trigger("input")}),k.clearPane()}),this.dom.searchButton.off("click.dtsp").on("click.dtsp",function(){return k.dom.searchBox.focus()}),this.dom.searchBox.off("click.dtsp").on("input.dtsp",function(){var S=k.dom.searchBox.val();k.s.dtPane.search(S).draw(),typeof S=="string"&&(S.length>0||S.length===0&&k.s.dtPane.rows({selected:!0}).data().toArray().length>0)?k.dom.clear.removeClass(k.classes.disabledButton).removeAttr("disabled"):k.dom.clear.addClass(k.classes.disabledButton).attr("disabled","true"),k.s.dt.state.save()}),this.s.dtPane.select.style(this.s.colOpts.dtOpts&&this.s.colOpts.dtOpts.select&&this.s.colOpts.dtOpts.select.style?this.s.colOpts.dtOpts.select.style:this.c.dtOpts&&this.c.dtOpts.select&&this.c.dtOpts.select.style?this.c.dtOpts.select.style:"os"))},w.prototype._serverPopulate=function(k){k.tableLength?(this.s.tableLength=k.tableLength,this.s.rowData.totalOptions=this.s.tableLength):(this.s.tableLength===null||this.s.dt.rows()[0].length>this.s.tableLength)&&(this.s.tableLength=this.s.dt.rows()[0].length,this.s.rowData.totalOptions=this.s.tableLength);var S=this.s.dt.column(this.s.index).dataSrc();if(k.searchPanes.options[S])for(var B=0,L=k.searchPanes.options[S];B<L.length;B++){var R=L[B];this.s.rowData.arrayFilter.push({display:R.label,filter:R.value,sort:R.label,type:R.label}),this.s.rowData.bins[R.value]=R.total}var q=Object.keys(this.s.rowData.bins).length,z=this._uniqueRatio(q,this.s.tableLength);if(this.s.displayed===!1&&((this.s.colOpts.show===void 0&&this.s.colOpts.threshold===null?z>this.c.threshold:z>this.s.colOpts.threshold)||this.s.colOpts.show!==!0&&q<=1)){this.dom.container.addClass(this.classes.hidden),this.s.displayed=!1;return}this.s.rowData.arrayOriginal=this.s.rowData.arrayFilter,this.s.rowData.binsOriginal=this.s.rowData.bins,this.s.displayed=!0},w.prototype.show=function(){this.s.displayed&&(this.dom.topRow.removeClass(this.classes.bordered),this.dom.nameButton.removeClass(this.classes.disabledButton),this.dom.countButton.removeClass(this.classes.disabledButton),this.dom.searchButton.removeClass(this.classes.disabledButton),this.dom.collapseButton.removeClass(this.classes.rotated),t(this.s.dtPane.table().container()).removeClass(this.classes.hidden),this.dom.topRow.trigger("collapse.dtsps"))},w.prototype._uniqueRatio=function(k,S){return S>0&&(this.s.rowData.totalOptions>0&&!this.s.dt.page.info().serverSide||this.s.dt.page.info().serverSide&&this.s.tableLength>0)?k/this.s.rowData.totalOptions:1},w.prototype.updateTable=function(){var k=this.s.dtPane.rows({selected:!0}).data().toArray().map(function(S){return S.filter});this.s.selections=k,this._searchExtras()},w.prototype._getComparisonRows=function(){var k=this.s.colOpts.options?this.s.colOpts.options:this.s.customPaneSettings&&this.s.customPaneSettings.options?this.s.customPaneSettings.options:void 0;if(k!==void 0){var S=this.s.dt.rows(),B=S.data().toArray(),L=[];this.s.dtPane.clear(),this.s.indexes=[];for(var R=0,q=k;R<q.length;R++){var z=q[R],G=z.label!==""?z.label:this.emptyMessage(),nt={className:z.className,display:G,filter:typeof z.value=="function"?z.value:[],sort:z.order!==void 0?z.order:G,total:0,type:G};if(typeof z.value=="function"){for(var tt=0;tt<B.length;tt++)z.value.call(this.s.dt,B[tt],S[0][tt])&&nt.total++;typeof nt.filter!="function"&&nt.filter.push(z.filter)}L.push(this.addRow(nt.display,nt.filter,nt.sort,nt.type,nt.className,nt.total))}return L}},w.prototype._getMessage=function(k){return this.s.dt.i18n("searchPanes.count",this.c.i18n.count).replace(/{total}/g,k.total)},w.prototype._getShown=function(k){},w.prototype._getPaneConfig=function(){var k=this,S=e.Scroller,B=this.s.dt.settings()[0].oLanguage;return B.url=void 0,B.sUrl=void 0,{columnDefs:[{className:"dtsp-nameColumn",data:"display",render:function(L,R,q){if(R==="sort")return q.sort;if(R==="type")return q.type;var z=k._getMessage(q),G='<span class="'+k.classes.pill+'">'+z+"</span>";return(!k.c.viewCount||!k.s.colOpts.viewCount)&&(G=""),R==="filter"?typeof L=="string"&&L.match(/<[^>]*>/)!==null?L.replace(/<[^>]*>/g,""):L:'<div class="'+k.classes.nameCont+'"><span title="'+(typeof L=="string"&&L.match(/<[^>]*>/)!==null?L.replace(/<[^>]*>/g,""):L)+'" class="'+k.classes.name+'">'+L+"</span>"+G+"</div>"},targets:0,type:this.s.dt.settings()[0].aoColumns[this.s.index]?this.s.dt.settings()[0].aoColumns[this.s.index]._sManualType:null},{className:"dtsp-countColumn "+this.classes.badgePill,data:"total",searchable:!1,targets:1,visible:!1}],deferRender:!0,info:!1,language:B,paging:!!S,scrollX:!1,scrollY:"200px",scroller:!!S,select:!0,stateSave:!!this.s.dt.settings()[0].oFeatures.bStateSave}},w.prototype._makeSelection=function(){this.updateTable(),this.s.updating=!0,this.s.dt.draw(),this.s.updating=!1},w.prototype._populatePaneArray=function(k,S,B,L){L===void 0&&(L=this.s.rowData.bins);var R=B.fastData?B.fastData:function(G,nt,tt){return B.oApi._fnGetCellData(B,G,nt,tt)};if(typeof this.s.colOpts.orthogonal=="string"){var q=R(k,this.s.index,this.s.colOpts.orthogonal);this.s.rowData.filterMap.set(k,q),this._addOption(q,q,q,q,S,L),this.s.rowData.totalOptions++}else{var z=R(k,this.s.index,this.s.colOpts.orthogonal.search);z===null&&(z=""),typeof z=="string"&&(z=z.replace(/<[^>]*>/g,"")),this.s.rowData.filterMap.set(k,z),L[z]?(L[z]++,this.s.rowData.totalOptions++):(L[z]=1,this._addOption(z,R(k,this.s.index,this.s.colOpts.orthogonal.display),R(k,this.s.index,this.s.colOpts.orthogonal.sort),R(k,this.s.index,this.s.colOpts.orthogonal.type),S,L),this.s.rowData.totalOptions++)}},w.prototype._reloadSelect=function(k){if(k!==void 0){for(var S,B=0;B<k.searchPanes.panes.length;B++)if(k.searchPanes.panes[B].id===this.s.index){S=B;break}if(S)for(var L=this.s.dtPane,R=L.rows({order:"index"}).data().map(function(tt){return tt.filter!==null?tt.filter.toString():null}).toArray(),q=0,z=k.searchPanes.panes[S].selected;q<z.length;q++){var G=z[q],nt=-1;G!==null&&(nt=R.indexOf(G.toString())),nt>-1&&(this.s.serverSelecting=!0,L.row(nt).select(),this.s.serverSelecting=!1)}}},w.prototype._updateSelection=function(k){var S=this,B=function(R){if(at.versionCheck("2"))S.s.dt.processing(R);else{var q=S.s.dt.settings()[0],z=q.oApi;z._fnProcessingDisplay(q,!1)}},L=function(){S.s.scrollTop=t(S.s.dtPane.table().node()).parent()[0].scrollTop,S.s.dt.page.info().serverSide&&!S.s.updating?S.s.serverSelecting||(S.s.serverSelect=S.s.dtPane.rows({selected:!0}).data().toArray(),S.s.dt.draw(!1)):k&&S._makeSelection(),B(!1)};B(!0),setTimeout(L,1)},w.prototype._addOption=function(k,S,B,L,R,q){if(Array.isArray(k)||k instanceof e.Api){if(k instanceof e.Api&&(k=k.toArray(),S=S.toArray()),k.length===S.length){for(var z=0;z<k.length;z++)q[k[z]]?q[k[z]]++:(q[k[z]]=1,R.push({display:S[z],filter:k[z],sort:B[z],type:L[z]})),this.s.rowData.totalOptions++;return}throw new Error("display and filter not the same length")}else typeof this.s.colOpts.orthogonal=="string"?q[k]?(q[k]++,this.s.rowData.totalOptions++):(q[k]=1,R.push({display:S,filter:k,sort:B,type:L}),this.s.rowData.totalOptions++):R.push({display:S,filter:k,sort:B,type:L})},w.prototype._buildPane=function(k,S,B){var L=this;k===void 0&&(k=[]),S===void 0&&(S=null),B===void 0&&(B=null),this.s.selections=[];var R=this.s.dt.state.loaded(),q;if(this.s.listSet&&(R=this.s.dt.state()),this.s.colExists){var z=-1;if(R&&R.searchPanes&&R.searchPanes.panes){for(var G=0;G<R.searchPanes.panes.length;G++)if(R.searchPanes.panes[G].id===this.s.index){z=G;break}}if((this.s.colOpts.show===!1||this.s.colOpts.show!==void 0&&this.s.colOpts.show!==!0)&&z===-1)return this.dom.container.addClass(this.classes.hidden),this.s.displayed=!1,!1;if((this.s.colOpts.show===!0||z!==-1)&&(this.s.displayed=!0),!this.s.dt.page.info().serverSide&&(!S||!S.searchPanes||!S.searchPanes.options)){this.s.rowData.arrayFilter.length===0&&(this.s.rowData.totalOptions=0,this._populatePane(),this.s.rowData.arrayOriginal=this.s.rowData.arrayFilter,this.s.rowData.binsOriginal=this.s.rowData.bins);var nt=Object.keys(this.s.rowData.binsOriginal).length,tt=this._uniqueRatio(nt,this.s.dt.rows()[0].length);if(this.s.displayed===!1&&((this.s.colOpts.show===void 0&&this.s.colOpts.threshold===null?tt>this.c.threshold:tt>this.s.colOpts.threshold)||this.s.colOpts.show!==!0&&nt<=1)){this.dom.container.addClass(this.classes.hidden),this.s.displayed=!1;return}this.dom.container.addClass(this.classes.show),this.s.displayed=!0}else S&&S.searchPanes&&S.searchPanes.options&&this._serverPopulate(S)}else this.s.displayed=!0;this._displayPane(),this.s.listSet||this.dom.dtP.on("stateLoadParams.dtsp",function(pt,vt,rt){t.isEmptyObject(L.s.dt.state.loaded())&&t.each(rt,function(gt){delete rt[gt]})}),B!==null&&this.dom.panesContainer.has(B).length>0?this.dom.container.insertAfter(B):this.dom.panesContainer.prepend(this.dom.container);var et=t.fn.dataTable.ext.errMode;t.fn.dataTable.ext.errMode="none",this.dom.dtP.on("init.dt",function(pt,vt){var rt=L.dom.dtP.DataTable(),gt=rt.select.style();rt.select.style(gt)}),this.s.dtPane=this.dom.dtP.DataTable(t.extend(!0,this._getPaneConfig(),this.c.dtOpts,this.s.colOpts?this.s.colOpts.dtOpts:{},this.s.colOpts.options||!this.s.colExists?{createdRow:function(pt,vt){t(pt).addClass(vt.className)}}:void 0,this.s.customPaneSettings!==null&&this.s.customPaneSettings.dtOpts?this.s.customPaneSettings.dtOpts:{},t.fn.dataTable.versionCheck("2")?{layout:{bottomStart:null,bottomEnd:null,topStart:null,topEnd:null}}:{dom:"t"})),this.dom.dtP.addClass(this.classes.table);var wt="Custom Pane";if(this.s.customPaneSettings&&this.s.customPaneSettings.header?wt=this.s.customPaneSettings.header:this.s.colOpts.header?wt=this.s.colOpts.header:this.s.colExists&&(wt=t.fn.dataTable.versionCheck("2")?this.s.dt.column(this.s.index).title():this.s.dt.settings()[0].aoColumns[this.s.index].sTitle),wt=this._escapeHTML(wt),this.dom.searchBox.attr("placeholder",wt),t.fn.dataTable.ext.errMode=et,this.s.colExists)for(var St=0,Tt=this.s.rowData.arrayFilter.length;St<Tt;St++)if(this.s.dt.page.info().serverSide){q=this.addRow(this.s.rowData.arrayFilter[St].display,this.s.rowData.arrayFilter[St].filter,this.s.rowData.arrayFilter[St].sort,this.s.rowData.arrayFilter[St].type);for(var kt=0,Lt=this.s.serverSelect;kt<Lt.length;kt++){var Bt=Lt[kt];Bt.filter===this.s.rowData.arrayFilter[St].filter&&(this.s.serverSelecting=!0,q.select(),this.s.serverSelecting=!1)}}else!this.s.dt.page.info().serverSide&&this.s.rowData.arrayFilter[St]?this.addRow(this.s.rowData.arrayFilter[St].display,this.s.rowData.arrayFilter[St].filter,this.s.rowData.arrayFilter[St].sort,this.s.rowData.arrayFilter[St].type):this.s.dt.page.info().serverSide||this.addRow("","","","");(this.s.colOpts.options||this.s.customPaneSettings&&this.s.customPaneSettings.options)&&this._getComparisonRows(),this.s.dtPane.draw(),this.s.dtPane.table().node().parentNode.scrollTop=this.s.scrollTop,this.adjustTopRow(),this.setListeners(),this.s.listSet=!0;for(var $t=0,Kt=k;$t<Kt.length;$t++){var D=Kt[$t];if(D)for(var ut=0,ot=this.s.dtPane.rows().indexes().toArray();ut<ot.length;ut++)q=ot[ut],this.s.dtPane.row(q).data()&&D.filter===this.s.dtPane.row(q).data().filter&&(this.s.dt.page.info().serverSide?(this.s.serverSelecting=!0,this.s.dtPane.row(q).select(),this.s.serverSelecting=!1):this.s.dtPane.row(q).select())}if(this.s.dt.page.info().serverSide&&this.s.dtPane.search(this.dom.searchBox.val()).draw(),(this.c.initCollapsed&&this.s.colOpts.initCollapsed!==!1||this.s.colOpts.initCollapsed)&&(this.c.collapse&&this.s.colOpts.collapse!==!1||this.s.colOpts.collapse)&&(this.s.dtPane.settings()[0]._bInitComplete?this.collapse():this.s.dtPane.one("init",function(){return L.collapse()})),R&&R.searchPanes&&R.searchPanes.panes&&(!S||S.draw===1)){this._reloadSelect(R);for(var V=0,j=R.searchPanes.panes;V<j.length;V++){var K=j[V];K.id===this.s.index&&(K.searchTerm&&K.searchTerm.length>0&&this.dom.searchBox.val(K.searchTerm).trigger("input"),K.order&&this.s.dtPane.order(K.order).draw(),K.collapsed?this.collapse():this.show())}}return!0},w.prototype._displayPane=function(){this.dom.dtP.empty(),this.dom.topRow.empty().addClass(this.classes.topRow),parseInt(this.c.layout.split("-")[1],10)>3&&this.dom.container.addClass(this.classes.smallGap),this.dom.topRow.addClass(this.classes.subRowsContainer).append(this.dom.upper.append(this.dom.searchCont)).append(this.dom.lower.append(this.dom.buttonGroup)),(this.c.dtOpts.searching===!1||this.s.colOpts.dtOpts&&this.s.colOpts.dtOpts.searching===!1||!this.c.controls||!this.s.colOpts.controls||this.s.customPaneSettings&&this.s.customPaneSettings.dtOpts&&this.s.customPaneSettings.dtOpts.searching!==void 0&&!this.s.customPaneSettings.dtOpts.searching)&&this.dom.searchBox.removeClass(this.classes.paneInputButton).addClass(this.classes.disabledButton).attr("disabled","true"),this.dom.searchBox.appendTo(this.dom.searchCont),this._searchContSetup(),this.c.clear&&this.c.controls&&this.s.colOpts.controls&&this.dom.clear.appendTo(this.dom.buttonGroup),this.c.orderable&&this.s.colOpts.orderable&&this.c.controls&&this.s.colOpts.controls&&this.dom.nameButton.appendTo(this.dom.buttonGroup),this.c.viewCount&&this.s.colOpts.viewCount&&this.c.orderable&&this.s.colOpts.orderable&&this.c.controls&&this.s.colOpts.controls&&this.dom.countButton.appendTo(this.dom.buttonGroup),(this.c.collapse&&this.s.colOpts.collapse!==!1||this.s.colOpts.collapse)&&this.c.controls&&this.s.colOpts.controls&&this.dom.collapseButton.appendTo(this.dom.buttonGroup),this.dom.container.prepend(this.dom.topRow).append(this.dom.dtP).show()},w.prototype._escapeHTML=function(k){return k.toString().replace(/&lt;/g,"<").replace(/&gt;/g,">").replace(/&quot;/g,'"').replace(/&amp;/g,"&")},w.prototype._getBonusOptions=function(){var k={threshold:null};return t.extend(!0,{},w.defaults,k,this.c?this.c:{})},w.prototype._getOptions=function(){var k=this.s.dt,S={collapse:null,emptyMessage:!1,initCollapsed:null,threshold:null},B=k.settings()[0].aoColumns[this.s.index].searchPanes,L=t.extend(!0,{},w.defaults,S,B);return B&&B.hideCount&&B.viewCount===void 0&&(L.viewCount=!B.hideCount),L},w.prototype._populatePane=function(){this.s.rowData.arrayFilter=[],this.s.rowData.bins={};var k=this.s.dt.context[0];if(!this.s.dt.page.info().serverSide)for(var S=0,B=this.s.dt.rows().indexes().toArray();S<B.length;S++){var L=B[S];this._populatePaneArray(L,this.s.rowData.arrayFilter,k)}},w.prototype._search=function(k,S){for(var B=this.s.colOpts,L=this.s.dt,R=0,q=this.s.selections;R<q.length;R++){var z=q[R];if(typeof z=="string"&&typeof k=="string"&&(z=this._escapeHTML(z)),Array.isArray(k)){if(B.combiner==="and"){if(!k.includes(z))return!1}else if(k.includes(z))return!0}else if(typeof z=="function"){if(z.call(L,L.row(S).data(),S)){if(B.combiner==="or")return!0}else if(B.combiner==="and")return!1}else if(k===z||!(typeof k=="string"&&k.length===0)&&k==z||z===null&&typeof k=="string"&&k==="")return!0}return B.combiner==="and"},w.prototype._searchContSetup=function(){this.c.controls&&this.s.colOpts.controls&&this.dom.searchButton.appendTo(this.dom.searchLabelCont),this.c.dtOpts.searching===!1||this.s.colOpts.dtOpts.searching===!1||this.s.customPaneSettings&&this.s.customPaneSettings.dtOpts&&this.s.customPaneSettings.dtOpts.searching!==void 0&&!this.s.customPaneSettings.dtOpts.searching||this.dom.searchLabelCont.appendTo(this.dom.searchCont)},w.prototype._searchExtras=function(){var k=this.s.updating;this.s.updating=!0;var S=this.s.dtPane.rows({selected:!0}).data().pluck("filter").toArray(),B=S.indexOf(this.emptyMessage()),L=t(this.s.dtPane.table().container());B>-1&&(S[B]=""),S.length>0?L.addClass(this.classes.selected):S.length===0&&L.removeClass(this.classes.selected),this.s.updating=k},w.version="2.1.2",w.classes={bordered:"dtsp-bordered",buttonGroup:"dtsp-buttonGroup",buttonSub:"dtsp-buttonSub",caret:"dtsp-caret",clear:"dtsp-clear",clearAll:"dtsp-clearAll",clearButton:"clearButton",collapseAll:"dtsp-collapseAll",collapseButton:"dtsp-collapseButton",container:"dtsp-searchPane",countButton:"dtsp-countButton",disabledButton:"dtsp-disabledButton",hidden:"dtsp-hidden",hide:"dtsp-hide",layout:"dtsp-",name:"dtsp-name",nameButton:"dtsp-nameButton",nameCont:"dtsp-nameCont",narrow:"dtsp-narrow",paneButton:"dtsp-paneButton",paneInputButton:"dtsp-paneInputButton",pill:"dtsp-pill",rotated:"dtsp-rotated",search:"dtsp-search",searchCont:"dtsp-searchCont",searchIcon:"dtsp-searchIcon",searchLabelCont:"dtsp-searchButtonCont",selected:"dtsp-selected",smallGap:"dtsp-smallGap",subRow1:"dtsp-subRow1",subRow2:"dtsp-subRow2",subRowsContainer:"dtsp-subRowsContainer",title:"dtsp-title",topRow:"dtsp-topRow"},w.defaults={clear:!0,collapse:!0,combiner:"or",container:function(k){return k.table().container()},controls:!0,dtOpts:{},emptyMessage:null,hideCount:!1,i18n:{clearPane:"&times;",count:"{total}",emptyMessage:"<em>No data</em>"},initCollapsed:!1,layout:"auto",name:void 0,orderable:!0,orthogonal:{display:"display",filter:"filter",hideCount:!1,search:"filter",show:void 0,sort:"sort",threshold:.6,type:"type",viewCount:!0},preSelect:[],threshold:.6,viewCount:!0},w}(),s=window&&window.__extends||function(){var w=function(k,S){return w=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(B,L){B.__proto__=L}||function(B,L){for(var R in L)L.hasOwnProperty(R)&&(B[R]=L[R])},w(k,S)};return function(k,S){w(k,S);function B(){this.constructor=k}k.prototype=S===null?Object.create(S):(B.prototype=S.prototype,new B)}}(),i=function(w){s(k,w);function k(S,B,L,R,q){return w.call(this,S,B,L,R,q)||this}return k.prototype._emptyPane=function(){var S=this.s.dtPane;if(at.versionCheck("2")){var B=S.select.last(),L;return B&&S.row(B.row).any()&&(L=S.row(B.row).data().index),S.rows().remove(),function(){if(L!==void 0){var R=S.row(function(q,z){return z.index===L}).index();S.select.last({row:R,column:0})}}}return S.rows().remove(),function(){}},k.prototype._serverPopulate=function(S){var B,L,R;this.s.rowData.binsShown={},this.s.rowData.arrayFilter=[],S.tableLength!==void 0?(this.s.tableLength=S.tableLength,this.s.rowData.totalOptions=this.s.tableLength):(this.s.tableLength===null||this.s.dt.rows()[0].length>this.s.tableLength)&&(this.s.tableLength=this.s.dt.rows()[0].length,this.s.rowData.totalOptions=this.s.tableLength);var q=this.s.dt.column(this.s.index).dataSrc();if(S.searchPanes.options[q]!==void 0)for(var z=0,G=S.searchPanes.options[q];z<G.length;z++){var nt=G[z];this.s.rowData.arrayFilter.push({display:nt.label,filter:nt.value,shown:+nt.count,sort:nt.label,total:+nt.total,type:nt.label}),this.s.rowData.binsShown[nt.value]=+nt.count,this.s.rowData.bins[nt.value]=+nt.total}var tt=Object.keys(this.s.rowData.bins).length,et=this._uniqueRatio(tt,this.s.tableLength);if(!this.s.colOpts.show&&this.s.displayed===!1&&((this.s.colOpts.show===void 0&&this.s.colOpts.threshold===null?et>this.c.threshold:et>this.s.colOpts.threshold)||this.s.colOpts.show!==!0&&tt<=1)){this.dom.container.addClass(this.classes.hidden),this.s.displayed=!1;return}if(this.s.rowData.arrayOriginal=this.s.rowData.arrayFilter,this.s.rowData.binsOriginal=this.s.rowData.bins,this.s.displayed=!0,this.s.dtPane){for(var wt=this.s.serverSelect,St=this._emptyPane(),Tt=0,kt=this.s.rowData.arrayFilter;Tt<kt.length;Tt++)if(R=kt[Tt],this._shouldAddRow(R)){L=this.addRow(R.display,R.filter,R.sort,R.type);for(var Lt=0;Lt<wt.length;Lt++)if(B=wt[Lt],B.filter===R.filter){this.s.serverSelecting=!0,L.select(),this.s.serverSelecting=!1,wt.splice(Lt,1),this.s.selections.push(R.filter);break}}for(var Bt=0,$t=wt;Bt<$t.length;Bt++){B=$t[Bt];for(var Kt=0,D=this.s.rowData.arrayOriginal;Kt<D.length;Kt++)R=D[Kt],R.filter===B.filter&&(L=this.addRow(R.display,R.filter,R.sort,R.type),this.s.serverSelecting=!0,L.select(),this.s.serverSelecting=!1,this.s.selections.push(R.filter))}this.s.serverSelect=this.s.dtPane.rows({selected:!0}).data().toArray(),this.s.dtPane.draw(),St()}},k.prototype.updateRows=function(){if(!this.s.dt.page.info().serverSide){this.s.rowData.binsShown={};for(var S=0,B=this.s.dt.rows({search:"applied"}).indexes().toArray();S<B.length;S++){var L=B[S];this._updateShown(L,this.s.dt.settings()[0],this.s.rowData.binsShown)}}for(var R=function(tt){tt.shown=typeof q.s.rowData.binsShown[tt.filter]=="number"?q.s.rowData.binsShown[tt.filter]:0,q.s.dtPane.row(function(et,wt){return wt&&wt.index===tt.index}).data(tt)},q=this,z=0,G=this.s.dtPane.rows().data().toArray();z<G.length;z++){var nt=G[z];R(nt)}this.s.dtPane.draw(),this.s.dtPane.table().node().parentNode.scrollTop=this.s.scrollTop},k.prototype._makeSelection=function(){},k.prototype._reloadSelect=function(){},k.prototype._shouldAddRow=function(S){return!0},k.prototype._updateSelection=function(){this.s.dt.page.info().serverSide&&!this.s.updating&&!this.s.serverSelecting&&(this.s.serverSelect=this.s.dtPane.rows({selected:!0}).data().toArray())},k.prototype._updateShown=function(S,B,L){L===void 0&&(L=this.s.rowData.binsShown);var R=typeof this.s.colOpts.orthogonal=="string"?this.s.colOpts.orthogonal:this.s.colOpts.orthogonal.search,q=B.fastData?B.fastData:function(wt,St,Tt){return B.oApi._fnGetCellData(B,wt,St,Tt)},z=q(S,this.s.index,R),G=function(wt){L[wt]?L[wt]++:L[wt]=1};if(Array.isArray(z))for(var nt=0,tt=z;nt<tt.length;nt++){var et=tt[nt];G(et)}else G(z)},k}(r),o=window&&window.__extends||function(){var w=function(k,S){return w=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(B,L){B.__proto__=L}||function(B,L){for(var R in L)L.hasOwnProperty(R)&&(B[R]=L[R])},w(k,S)};return function(k,S){w(k,S);function B(){this.constructor=k}k.prototype=S===null?Object.create(S):(B.prototype=S.prototype,new B)}}(),u;function p(w){u=w}var b=function(w){o(k,w);function k(S,B,L,R,q){var z=this,G={i18n:{countFiltered:"{shown} ({total})"}};return z=w.call(this,S,u.extend(G,B),L,R,q)||this,z}return k.prototype._getMessage=function(S){var B=this.s.dt.i18n("searchPanes.count",this.c.i18n.count),L=this.s.dt.i18n("searchPanes.countFiltered",this.c.i18n.countFiltered);return(this.s.filteringActive?L:B).replace(/{total}/g,S.total).replace(/{shown}/g,S.shown)},k.prototype._getShown=function(S){return this.s.rowData.binsShown&&this.s.rowData.binsShown[S]?this.s.rowData.binsShown[S]:0},k}(i),g=window&&window.__extends||function(){var w=function(k,S){return w=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(B,L){B.__proto__=L}||function(B,L){for(var R in L)L.hasOwnProperty(R)&&(B[R]=L[R])},w(k,S)};return function(k,S){w(k,S);function B(){this.constructor=k}k.prototype=S===null?Object.create(S):(B.prototype=S.prototype,new B)}}(),m;function C(w){m=w}var y=function(w){g(k,w);function k(S,B,L,R,q){var z=this,G={i18n:{count:"{shown}"}};return z=w.call(this,S,m.extend(G,B),L,R,q)||this,z}return k.prototype.updateRows=function(){var S=this.s.dtPane.rows({selected:!0}).data().toArray(),B;if(this.s.colOpts.options||this.s.customPaneSettings&&this.s.customPaneSettings.options){this._getComparisonRows();for(var L=this.s.dtPane.rows().toArray()[0],R=0;R<L.length;R++){var q=this.s.dtPane.row(L[R]),z=q.data();if(z!==void 0){if(z.shown===0){q.remove(),L=this.s.dtPane.rows().toArray()[0],R--;continue}for(var G=0,nt=S;G<nt.length;G++)if(B=nt[G],z.filter===B.filter){q.select(),S.splice(R,1),this.s.selections.push(z.filter);break}}}}else{if(!this.s.dt.page.info().serverSide){this._activePopulatePane(),this.s.rowData.binsShown={};for(var tt=0,et=this.s.dt.rows({search:"applied"}).indexes().toArray();tt<et.length;tt++){var wt=et[tt];this._updateShown(wt,this.s.dt.settings()[0],this.s.rowData.binsShown)}}this.s.dtPane.rows().remove();for(var St=0,Tt=this.s.rowData.arrayFilter;St<Tt.length;St++){var kt=Tt[St];if(kt.shown!==0)for(var Lt=this.addRow(kt.display,kt.filter,kt.sort,kt.type,void 0),Bt=0;Bt<S.length;Bt++){var $t=S[Bt];if($t.filter===kt.filter){Lt.select(),S.splice(Bt,1),this.s.selections.push(kt.filter);break}}}for(var Kt=0,D=S;Kt<D.length;Kt++){B=D[Kt];for(var ut=0,ot=this.s.rowData.arrayOriginal;ut<ot.length;ut++){var V=ot[ut];if(V.filter===B.filter){var j=this.addRow(V.display,V.filter,V.sort,V.type,void 0);j.select(),this.s.selections.push(V.filter)}}}}this.s.dtPane.draw(),this.s.dtPane.table().node().parentNode.scrollTop=this.s.scrollTop,this.s.dt.page.info().serverSide||this.s.dt.draw(!1)},k.prototype._activePopulatePane=function(){this.s.rowData.arrayFilter=[],this.s.rowData.bins={};var S=this.s.dt.settings()[0];if(!this.s.dt.page.info().serverSide)for(var B=0,L=this.s.dt.rows({search:"applied"}).indexes().toArray();B<L.length;B++){var R=L[B];this._populatePaneArray(R,this.s.rowData.arrayFilter,S)}},k.prototype._getComparisonRows=function(){var S=this.s.colOpts.options?this.s.colOpts.options:this.s.customPaneSettings&&this.s.customPaneSettings.options?this.s.customPaneSettings.options:void 0;if(S!==void 0){var B=this.s.dt.rows(),L=this.s.dt.rows({search:"applied"}),R=B.data().toArray(),q=L.data().toArray(),z=[];this.s.dtPane.clear(),this.s.indexes=[];for(var G=0,nt=S;G<nt.length;G++){var tt=nt[G],et=tt.label!==""?tt.label:this.emptyMessage(),wt={className:tt.className,display:et,filter:typeof tt.value=="function"?tt.value:[],shown:0,sort:et,total:0,type:et};if(typeof tt.value=="function"){for(var St=0;St<R.length;St++)tt.value.call(this.s.dt,R[St],B[0][St])&&wt.total++;for(var Tt=0;Tt<q.length;Tt++)tt.value.call(this.s.dt,q[Tt],L[0][Tt])&&wt.shown++;typeof wt.filter!="function"&&wt.filter.push(tt.filter)}z.push(this.addRow(wt.display,wt.filter,wt.sort,wt.type,wt.className,wt.total,wt.shown))}return z}},k.prototype._getMessage=function(S){return this.s.dt.i18n("searchPanes.count",this.c.i18n.count).replace(/{total}/g,S.total).replace(/{shown}/g,S.shown)},k.prototype._getShown=function(S){return this.s.rowData.binsShown&&this.s.rowData.binsShown[S]?this.s.rowData.binsShown[S]:0},k.prototype._shouldAddRow=function(S){return S.shown>0},k}(i),T=window&&window.__extends||function(){var w=function(k,S){return w=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(B,L){B.__proto__=L}||function(B,L){for(var R in L)L.hasOwnProperty(R)&&(B[R]=L[R])},w(k,S)};return function(k,S){w(k,S);function B(){this.constructor=k}k.prototype=S===null?Object.create(S):(B.prototype=S.prototype,new B)}}(),P;function c(w){P=w}var l=function(w){T(k,w);function k(S,B,L,R,q){var z=this,G={i18n:{count:"{total}",countFiltered:"{shown} ({total})"}};return z=w.call(this,S,P.extend(G,B),L,R,q)||this,z}return k.prototype._activePopulatePane=function(){this.s.rowData.arrayFilter=[],this.s.rowData.binsShown={};var S=this.s.dt.settings()[0];if(!this.s.dt.page.info().serverSide)for(var B=0,L=this.s.dt.rows({search:"applied"}).indexes().toArray();B<L.length;B++){var R=L[B];this._populatePaneArray(R,this.s.rowData.arrayFilter,S,this.s.rowData.binsShown)}},k.prototype._getMessage=function(S){var B=this.s.dt.i18n("searchPanes.count",this.c.i18n.count),L=this.s.dt.i18n("searchPanes.countFiltered",this.c.i18n.countFiltered);return(this.s.filteringActive?L:B).replace(/{total}/g,S.total).replace(/{shown}/g,S.shown)},k}(y),h,_;function F(w){h=w,_=w.fn.dataTable}var O=function(){function w(k,S,B,L){var R=this;if(B===void 0&&(B=!1),L===void 0&&(L=r),!_||!_.versionCheck||!_.versionCheck("1.10.0"))throw new Error("SearchPane requires DataTables 1.10 or newer");if(!_.select)throw new Error("SearchPane requires Select");var q=new _.Api(k);if(this.classes=h.extend(!0,{},w.classes),this.c=h.extend(!0,{},w.defaults,S),this.dom={clearAll:h('<button type="button"/>').addClass(this.classes.clearAll).html(q.i18n("searchPanes.clearMessage",this.c.i18n.clearMessage)),collapseAll:h('<button type="button"/>').addClass(this.classes.collapseAll).html(q.i18n("searchPanes.collapseMessage",this.c.i18n.collapseMessage)),container:h("<div/>").addClass(this.classes.panes).html(q.i18n("searchPanes.loadMessage",this.c.i18n.loadMessage)),emptyMessage:h("<div/>").addClass(this.classes.emptyMessage),panes:h("<div/>").addClass(this.classes.container),showAll:h('<button type="button"/>').addClass(this.classes.showAll).addClass(this.classes.disabledButton).attr("disabled","true").html(q.i18n("searchPanes.showMessage",this.c.i18n.showMessage)),title:h("<div/>").addClass(this.classes.title),titleRow:h("<div/>").addClass(this.classes.titleRow)},this.s={colOpts:[],dt:q,filterCount:0,minPaneWidth:260,page:0,paging:!1,pagingST:!1,paneClass:L,panes:[],selectionList:[],serverData:{},stateRead:!1,updating:!1},!q.settings()[0]._searchPanes){if(h(document).on("draw.dt",function(G){R.dom.container.find(G.target).length&&R._updateFilterCount()}),this._getState(),this.s.dt.page.info().serverSide){var z=this.s.dt.settings()[0];this.s.dt.on("preXhr.dtsps",function(G,nt,tt){if(z===nt){tt.searchPanes===void 0&&(tt.searchPanes={}),tt.searchPanes_null===void 0&&(tt.searchPanes_null={});for(var et,wt=0,St=R.s.selectionList;wt<St.length;wt++){var Tt=St[wt];et=R.s.dt.column(Tt.column).dataSrc(),tt.searchPanes[et]===void 0&&(tt.searchPanes[et]={}),tt.searchPanes_null[et]===void 0&&(tt.searchPanes_null[et]={});for(var kt=0;kt<Tt.rows.length;kt++)tt.searchPanes[et][kt]=Tt.rows[kt],tt.searchPanes[et][kt]===null?tt.searchPanes_null[et][kt]=!0:tt.searchPanes_null[et][kt]=!1}R.s.selectionList.length>0&&(tt.searchPanesLast=et),tt.searchPanes_options={cascade:R.c.cascadePanes,viewCount:R.c.viewCount,viewTotal:R.c.viewTotal}}})}return this._setXHR(),q.settings()[0]._searchPanes=this,this.s.dt.settings()[0]._bInitComplete||B?this._paneDeclare(q,k,S):q.one("preInit.dtsps",function(){R._paneDeclare(q,k,S)}),this}}return w.prototype.clearSelections=function(){for(var k,S=0,B=this.s.panes;S<B.length;S++)k=B[S],k.s.dtPane&&(k.s.scrollTop=k.s.dtPane.table().node().parentNode.scrollTop);var L=this.dom.container.find("."+this.classes.search.replace(/\s+/g,"."));L.each(function(){h(this).val("").trigger("input")}),this.s.selectionList=[];for(var R=[],q=0,z=this.s.panes;q<z.length;q++)k=z[q],k.s.dtPane&&R.push(k.clearPane());return R},w.prototype.getNode=function(){return this.dom.container},w.prototype.rebuild=function(k,S){k===void 0&&(k=!1),S===void 0&&(S=!1),this.dom.emptyMessage.detach(),k===!1&&this.dom.panes.empty();for(var B=[],L=0,R=this.s.panes;L<R.length;L++){var q=R[L];(k===!1||q.s.index===k)&&(q.clearData(),q.rebuildPane(this.s.dt.page.info().serverSide?this.s.serverData:void 0,S),this.dom.panes.append(q.dom.container),B.push(q))}return this._updateSelection(),this._updateFilterCount(),this._attachPaneContainer(),this._initSelectionListeners(!1),this.s.dt.draw(!S),this.resizePanes(),B.length===1?B[0]:B},w.prototype.resizePanes=function(){var k;if(this.c.layout==="auto"){for(var S=h(this.s.dt.searchPanes.container()).width(),B=Math.floor(S/this.s.minPaneWidth),L=1,R=0,q=[],z=0,G=this.s.panes;z<G.length;z++)k=G[z],k.s.displayed&&q.push(k.s.index);var nt=q.length;if(B===nt)L=B;else for(var tt=B;tt>1;tt--){var et=nt%tt;if(et===0){L=tt,R=0;break}else et>R&&(L=tt,R=et)}var wt=R!==0?q.slice(q.length-R,q.length):[];this.s.panes.forEach(function(kt){kt.s.displayed&&kt.resize("columns-"+(wt.includes(kt.s.index)?R:L))})}else for(var St=0,Tt=this.s.panes;St<Tt.length;St++)k=Tt[St],k.adjustTopRow();return this},w.prototype._initSelectionListeners=function(k){},w.prototype._serverTotals=function(){},w.prototype._setXHR=function(){var k=this,S=this.s.dt.settings()[0],B=function(L){L&&L.searchPanes&&L.searchPanes.options&&(k.s.serverData=L,k.s.serverData.tableLength=L.recordsTotal,k._serverTotals())};this.s.dt.on("xhr.dtsps",function(L,R,q){S===R&&B(q)}),B(this.s.dt.ajax.json())},w.prototype._stateLoadListener=function(){var k=this,S=this.s.dt.settings()[0];this.s.dt.on("stateLoadParams.dtsps",function(B,L,R){if(!(R.searchPanes===void 0||L!==S)){if(k.clearSelections(),k.s.selectionList=R.searchPanes.selectionList?R.searchPanes.selectionList:[],R.searchPanes.panes)for(var q=0,z=R.searchPanes.panes;q<z.length;q++)for(var G=z[q],nt=0,tt=k.s.panes;nt<tt.length;nt++){var et=tt[nt];G.id===et.s.index&&et.s.dtPane&&(et.dom.searchBox.val(G.searchTerm),et.s.dtPane.order(G.order))}k._makeSelections(k.s.selectionList)}})},w.prototype._updateSelection=function(){this.s.selectionList=[];for(var k=0,S=this.s.panes;k<S.length;k++){var B=S[k];if(B.s.dtPane){var L=B.s.dtPane.rows({selected:!0}).data().toArray().map(function(R){return R.filter});L.length&&this.s.selectionList.push({column:B.s.index,rows:L})}}},w.prototype._attach=function(){var k=this;this.dom.titleRow.removeClass(this.classes.hide).detach().append(this.dom.title),this.c.clear&&this.dom.clearAll.appendTo(this.dom.titleRow).off("click.dtsps").on("click.dtsps",function(){return k.clearSelections()}),this.c.collapse&&(this.dom.showAll.appendTo(this.dom.titleRow),this.dom.collapseAll.appendTo(this.dom.titleRow),this._setCollapseListener());for(var S=0,B=this.s.panes;S<B.length;S++){var L=B[S];this.dom.panes.append(L.dom.container)}this.dom.container.text("").removeClass(this.classes.hide).append(this.dom.titleRow).append(this.dom.panes),this.s.panes.forEach(function(R){return R.setListeners()}),h("div."+this.classes.container).length===0&&this.dom.container.prependTo(this.s.dt)},w.prototype._attachMessage=function(){var k;try{k=this.s.dt.i18n("searchPanes.emptyPanes",this.c.i18n.emptyPanes)}catch{k=null}if(k===null){this.dom.container.addClass(this.classes.hide),this.dom.titleRow.removeClass(this.classes.hide);return}this.dom.container.removeClass(this.classes.hide),this.dom.titleRow.addClass(this.classes.hide),this.dom.emptyMessage.html(k).appendTo(this.dom.container)},w.prototype._attachPaneContainer=function(){for(var k=0,S=this.s.panes;k<S.length;k++){var B=S[k];if(B.s.displayed===!0){this._attach();return}}this._attachMessage()},w.prototype._checkCollapse=function(){for(var k=!0,S=!0,B=0,L=this.s.panes;B<L.length;B++){var R=L[B];R.s.displayed&&(R.dom.collapseButton.hasClass(R.classes.rotated)?(this.dom.showAll.removeClass(this.classes.disabledButton).removeAttr("disabled"),S=!1):(this.dom.collapseAll.removeClass(this.classes.disabledButton).removeAttr("disabled"),k=!1))}k&&this.dom.collapseAll.addClass(this.classes.disabledButton).attr("disabled","true"),S&&this.dom.showAll.addClass(this.classes.disabledButton).attr("disabled","true")},w.prototype._checkMessage=function(){for(var k=0,S=this.s.panes;k<S.length;k++){var B=S[k];if(B.s.displayed===!0){this.dom.emptyMessage.detach(),this.dom.titleRow.removeClass(this.classes.hide);return}}this._attachMessage()},w.prototype._collapseAll=function(){for(var k=0,S=this.s.panes;k<S.length;k++){var B=S[k];B.collapse()}},w.prototype._findPane=function(k){for(var S=0,B=this.s.panes;S<B.length;S++){var L=B[S];if(k===L.s.name)return L}},w.prototype._getState=function(){var k=this.s.dt.state.loaded();k&&k.searchPanes&&k.searchPanes.selectionList&&(this.s.selectionList=k.searchPanes.selectionList)},w.prototype._makeSelections=function(k){for(var S=0,B=k;S<B.length;S++){for(var L=B[S],R=void 0,q=0,z=this.s.panes;q<z.length;q++){var G=z[q];if(G.s.index===L.column){R=G;break}}if(R&&R.s.dtPane){for(var nt=0;nt<R.s.dtPane.rows().data().toArray().length;nt++)L.rows.includes(typeof R.s.dtPane.row(nt).data().filter=="function"?R.s.dtPane.cell(nt,0).data():R.s.dtPane.row(nt).data().filter)&&R.s.dtPane.row(nt).select();R.updateTable()}}},w.prototype._paneDeclare=function(k,S,B){var L=this;k.columns(this.c.columns.length>0?this.c.columns:void 0).eq(0).each(function(G){L.s.panes.push(new L.s.paneClass(S,B,G,L.dom.panes))});for(var R=k.columns().eq(0).toArray().length,q=0;q<this.c.panes.length;q++){var z=R+q;this.s.panes.push(new this.s.paneClass(S,B,z,this.dom.panes,this.c.panes[q]))}this.c.order.length>0&&(this.s.panes=this.c.order.map(function(G){return L._findPane(G)})),this.s.dt.settings()[0]._bInitComplete?this._startup(k):_.versionCheck("2")?this.s.dt.settings()[0].aoInitComplete.push(function(){return L._startup(k)}):this.s.dt.settings()[0].aoInitComplete.push({fn:function(){return L._startup(k)}})},w.prototype._setCollapseListener=function(){var k=this;this.dom.collapseAll.off("click.dtsps").on("click.dtsps",function(){k._collapseAll(),k.dom.collapseAll.addClass(k.classes.disabledButton).attr("disabled","true"),k.dom.showAll.removeClass(k.classes.disabledButton).removeAttr("disabled"),k.s.dt.state.save()}),this.dom.showAll.off("click.dtsps").on("click.dtsps",function(){k._showAll(),k.dom.showAll.addClass(k.classes.disabledButton).attr("disabled","true"),k.dom.collapseAll.removeClass(k.classes.disabledButton).removeAttr("disabled"),k.s.dt.state.save()});for(var S=0,B=this.s.panes;S<B.length;S++){var L=B[S];L.dom.topRow.off("collapse.dtsps").on("collapse.dtsps",function(){return k._checkCollapse()})}this._checkCollapse()},w.prototype._showAll=function(){for(var k=0,S=this.s.panes;k<S.length;k++){var B=S[k];B.show()}},w.prototype._startup=function(k){var S=this;this._attach(),this.dom.panes.empty();for(var B=this.s.dt.settings()[0],L=0,R=this.s.panes;L<R.length;L++){var q=R[L];q.rebuildPane(Object.keys(this.s.serverData).length>0?this.s.serverData:void 0),this.dom.panes.append(q.dom.container)}this.c.layout==="auto"&&this.resizePanes();var z=this.s.dt.state.loaded();!this.s.stateRead&&z&&this.s.dt.page(z.start/this.s.dt.page.len()).draw("page"),this.s.stateRead=!0,this._checkMessage(),k.on("preDraw.dtsps",function(){!S.s.updating&&!S.s.paging&&(S._updateFilterCount(),S._updateSelection()),S.s.paging=!1}),h(window).on("resize.dtsps",_.util.throttle(function(){return S.resizePanes()})),this.s.dt.on("stateSaveParams.dtsps",function(nt,tt,et){tt===B&&(et.searchPanes===void 0&&(et.searchPanes={}),et.searchPanes.selectionList=S.s.selectionList)}),this._stateLoadListener(),k.off("page.dtsps page-nc.dtsps").on("page.dtsps page-nc.dtsps",function(nt,tt){S.s.paging=!0,S.s.pagingST=!0,S.s.page=S.s.dt.page()}),this.s.dt.page.info().serverSide?k.off("preXhr.dtsps").on("preXhr.dtsps",function(nt,tt,et){if(tt===B){et.searchPanes||(et.searchPanes={}),et.searchPanes_null||(et.searchPanes_null={});for(var wt=0,St=0,Tt=S.s.panes;St<Tt.length;St++){var kt=Tt[St],Lt=S.s.dt.column(kt.s.index).dataSrc();if(et.searchPanes[Lt]||(et.searchPanes[Lt]={}),et.searchPanes_null[Lt]||(et.searchPanes_null[Lt]={}),kt.s.dtPane)for(var Bt=kt.s.dtPane.rows({selected:!0}).data().toArray(),$t=0;$t<Bt.length;$t++)et.searchPanes[Lt][$t]=Bt[$t].filter,et.searchPanes[Lt][$t]?et.searchPanes_null[Lt][$t]=!1:et.searchPanes_null[Lt][$t]=!0,wt++}wt>0&&(wt!==S.s.filterCount?(et.start=0,S.s.page=0):et.start=S.s.page*S.s.dt.page.len(),S.s.dt.page(S.s.page),S.s.filterCount=wt),S.s.selectionList.length>0&&(et.searchPanesLast=S.s.dt.column(S.s.selectionList[S.s.selectionList.length-1].column).dataSrc()),et.searchPanes_options={cascade:S.c.cascadePanes,viewCount:S.c.viewCount,viewTotal:S.c.viewTotal}}}):k.on("preXhr.dtsps",function(){return S.s.panes.forEach(function(nt){return nt.clearData()})}),this.s.dt.on("xhr.dtsps",function(nt,tt){if(tt.nTable===S.s.dt.table().node()&&!S.s.dt.page.info().serverSide){var et=!1;S.s.dt.one("preDraw.dtsps",function(){if(!et){var wt=S.s.dt.page();et=!0,S.s.updating=!0,S.dom.panes.empty();for(var St=0,Tt=S.s.panes;St<Tt.length;St++){var kt=Tt[St];kt.clearData(),kt.rebuildPane(void 0,!0),S.dom.panes.append(kt.dom.container)}S.s.dt.page.info().serverSide||S.s.dt.draw(),S.s.updating=!1,S._updateSelection(),S._checkMessage(),S.s.dt.one("draw.dtsps",function(){S.s.updating=!0,S.s.dt.page(wt).draw(!1),S.s.updating=!1})}})}});var G=this.c.preSelect;z&&z.searchPanes&&z.searchPanes.selectionList&&(G=z.searchPanes.selectionList),this._makeSelections(G),this._updateFilterCount(),k.on("destroy.dtsps",function(nt,tt){if(tt===B){for(var et=0,wt=S.s.panes;et<wt.length;et++){var St=wt[et];St.destroy()}k.off(".dtsps"),S.dom.showAll.off(".dtsps"),S.dom.clearAll.off(".dtsps"),S.dom.collapseAll.off(".dtsps"),h(k.table().node()).off(".dtsps"),S.dom.container.detach(),S.clearSelections()}}),this.c.collapse&&this._setCollapseListener(),this.c.clear&&this.dom.clearAll.off("click.dtsps").on("click.dtsps",function(){return S.clearSelections()}),B._searchPanes=this,this.s.dt.state.save()},w.prototype._updateFilterCount=function(){for(var k=0,S=0,B=0,L=this.s.panes;B<L.length;B++){var R=L[B];R.s.dtPane&&(k+=R.getPaneCount(),R.s.dtPane.search()&&S++)}this.dom.title.html(this.s.dt.i18n("searchPanes.title",this.c.i18n.title,k)),this.c.filterChanged&&typeof this.c.filterChanged=="function"&&this.c.filterChanged.call(this.s.dt,k),k===0&&S===0?this.dom.clearAll.addClass(this.classes.disabledButton).attr("disabled","true"):this.dom.clearAll.removeClass(this.classes.disabledButton).removeAttr("disabled")},w.version="2.3.2",w.classes={clear:"dtsp-clear",clearAll:"dtsp-clearAll",collapseAll:"dtsp-collapseAll",container:"dtsp-searchPanes",disabledButton:"dtsp-disabledButton",emptyMessage:"dtsp-emptyMessage",hide:"dtsp-hidden",panes:"dtsp-panesContainer",search:"dtsp-search",showAll:"dtsp-showAll",title:"dtsp-title",titleRow:"dtsp-titleRow"},w.defaults={cascadePanes:!1,clear:!0,collapse:!0,columns:[],container:function(k){return k.table().container()},filterChanged:void 0,i18n:{clearMessage:"Clear All",clearPane:"&times;",collapse:{0:"SearchPanes",_:"SearchPanes (%d)"},collapseMessage:"Collapse All",count:"{total}",emptyMessage:"<em>No data</em>",emptyPanes:"No SearchPanes",loadMessage:"Loading Search Panes...",showMessage:"Show All",title:"Filters Active - %d"},layout:"auto",order:[],panes:[],preSelect:[],viewCount:!0,viewTotal:!1},w}(),f=window&&window.__extends||function(){var w=function(k,S){return w=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(B,L){B.__proto__=L}||function(B,L){for(var R in L)L.hasOwnProperty(R)&&(B[R]=L[R])},w(k,S)};return function(k,S){w(k,S);function B(){this.constructor=k}k.prototype=S===null?Object.create(S):(B.prototype=S.prototype,new B)}}(),U=function(w){f(k,w);function k(S,B,L){L===void 0&&(L=!1);var R=this,q;B.cascadePanes&&B.viewTotal?q=l:B.cascadePanes?q=y:B.viewTotal&&(q=b),R=w.call(this,S,B,L,q)||this;var z=R.s.dt,G=z.state.loaded(),nt=function(){return R._initSelectionListeners(!0,G&&G.searchPanes&&G.searchPanes.selectionList?G.searchPanes.selectionList:R.c.preSelect)};return z.settings()[0]._bInitComplete?nt():z.off("init.dtsps").on("init.dtsps",nt),R}return k.prototype._initSelectionListeners=function(S,B){S===void 0&&(S=!0),B===void 0&&(B=[]),S&&(this.s.selectionList=B);for(var L=0,R=this.s.panes;L<R.length;L++){var q=R[L];q.s.displayed&&q.s.dtPane.off("select.dtsp").on("select.dtsp",this._update(q)).off("deselect.dtsp").on("deselect.dtsp",this._updateTimeout(q))}this.s.dt.off("draw.dtsps").on("draw.dtsps",this._update()),this._updateSelectionList()},k.prototype._serverTotals=function(){for(var S=0,B=this.s.panes;S<B.length;S++){var L=B[S];if(L.s.colOpts.show){var R=this.s.dt.column(L.s.index).dataSrc(),q=!0;if(this.s.serverData.searchPanes.options[R])for(var z=0,G=this.s.serverData.searchPanes.options[R];z<G.length;z++){var nt=G[z];if(nt.total!==nt.count){q=!1;break}}L.s.filteringActive=!q,L._serverPopulate(this.s.serverData)}}},k.prototype._stateLoadListener=function(){var S=this,B=function(L,R,q){if(q.searchPanes!==void 0){if(S.s.selectionList=q.searchPanes.selectionList?q.searchPanes.selectionList:[],q.searchPanes.panes)for(var z=0,G=q.searchPanes.panes;z<G.length;z++)for(var nt=G[z],tt=0,et=S.s.panes;tt<et.length;tt++){var wt=et[tt];nt.id===wt.s.index&&wt.s.dtPane&&(wt.dom.searchBox.val(nt.searchTerm),wt.s.dtPane.order(nt.order))}S._updateSelectionList()}};this.s.dt.off("stateLoadParams.dtsps",B).on("stateLoadParams.dtsps",B)},k.prototype._updateSelection=function(){},k.prototype._update=function(S){var B=this;return S===void 0&&(S=void 0),function(){S&&clearTimeout(S.s.deselectTimeout),B._updateSelectionList(S)}},k.prototype._updateTimeout=function(S){var B=this;return S===void 0&&(S=void 0),function(){return S?S.s.deselectTimeout=setTimeout(function(){return B._updateSelectionList(S)},50):B._updateSelectionList()}},k.prototype._updateSelectionList=function(S){if(S===void 0&&(S=void 0),this.s.pagingST){this.s.pagingST=!1;return}else if(this.s.updating||S&&S.s.serverSelecting)return;if(S!==void 0){this.s.dt.page.info().serverSide&&S._updateSelection();var B=S.s.dtPane.rows({selected:!0}).data().toArray().map(function(L){return L.filter});this.s.selectionList=this.s.selectionList.filter(function(L){return L.column!==S.s.index}),B.length>0?(this.s.selectionList.push({column:S.s.index,rows:B}),S.dom.clear.removeClass(this.classes.disabledButton).removeAttr("disabled")):S.dom.clear.addClass(this.classes.disabledButton).attr("disabled","true"),this.s.dt.page.info().serverSide&&this.s.dt.draw(!1)}this._remakeSelections(),this._updateFilterCount()},k.prototype._remakeSelections=function(){var S,B;if(this.s.updating=!0,this.s.dt.page.info().serverSide){this.s.selectionList.length>0&&(B=this.s.panes[this.s.selectionList[this.s.selectionList.length-1].column]);for(var Ct=0,xt=this.s.panes;Ct<xt.length;Ct++)S=xt[Ct],S.s.displayed&&(!B||S.s.index!==B.s.index)&&S.updateRows()}else{var L=this.s.selectionList,R=!1;this.clearSelections(),this.s.dt.draw(!1),this.s.dt.rows().toArray()[0].length>this.s.dt.rows({search:"applied"}).toArray()[0].length&&(R=!0),this.s.selectionList=L;for(var q=0,z=this.s.panes;q<z.length;q++)B=z[q],B.s.displayed&&(B.s.filteringActive=R,B.updateRows());for(var G=0,nt=this.s.selectionList;G<nt.length;G++){var tt=nt[G];B=null;for(var et=0,wt=this.s.panes;et<wt.length;et++){var St=wt[et];if(St.s.index===tt.column){B=St;break}}if(B.s.dtPane){for(var Tt=B.s.dtPane.rows().indexes().toArray(),kt=0;kt<tt.rows.length;kt++){for(var Lt=!1,Bt=0,$t=Tt;Bt<$t.length;Bt++){var Kt=$t[Bt],D=B.s.dtPane.row(Kt),ut=D.data();tt.rows[kt]===ut.filter&&(D.select(),Lt=!0)}Lt||(tt.rows.splice(kt,1),kt--)}if(B.s.selections=tt.rows,tt.rows.length!==0){this.s.dt.draw();for(var ot=!1,V=0,j=0,K=0,pt=0,vt=this.s.panes;pt<vt.length;pt++)S=vt[pt],S.s.dtPane&&(V+=S.getPaneCount(),V>j&&(K++,j=V));ot=V>0;for(var rt=0,gt=this.s.panes;rt<gt.length;rt++)S=gt[rt],S.s.displayed&&(R||B.s.index!==S.s.index||!ot?S.s.filteringActive=ot||R:K===1&&(S.s.filteringActive=!1),S.s.index!==B.s.index&&S.updateRows())}}}this.s.dt.draw(!1)}this.s.updating=!1},k}(O);n(Ze),F(Ze),p(Ze),C(Ze),c(Ze);var X=Ze.fn.dataTable;X.SearchPanes=O,at.SearchPanes=O,X.SearchPanesST=U,at.SearchPanesST=U,X.SearchPane=r,at.SearchPane=r,X.SearchPaneViewTotal=b,at.SearchPaneViewTotal=b,X.SearchPaneCascade=y,at.SearchPaneCascade=y,X.SearchPaneCascadeViewTotal=l,at.SearchPaneCascadeViewTotal=l;var Q=Ze.fn.dataTable.Api.register;Q("searchPanes()",function(){return this}),Q("searchPanes.clearSelections()",function(){return this.iterator("table",function(w){w._searchPanes&&w._searchPanes.clearSelections()})}),Q("searchPanes.rebuildPane()",function(w,k){return this.iterator("table",function(S){S._searchPanes&&S._searchPanes.rebuild(w,k)})}),Q("searchPanes.resizePanes()",function(){var w=this.context[0];return w._searchPanes?w._searchPanes.resizePanes():null}),Q("searchPanes.container()",function(){var w=this.context[0];return w._searchPanes?w._searchPanes.getNode():null}),at.ext.buttons.searchPanesClear={action:function(w,k){k.searchPanes.clearSelections()},text:"Clear Panes"},at.ext.buttons.searchPanes={action:function(w,k,S,B){var L=this,R=this;B._panes?(this.popover(B._panes.getNode(),{align:"container",span:"container"}),B._panes.rebuild(void 0,!0)):(this.processing(!0),setTimeout(function(){E(k,S,B),L.popover(B._panes.getNode(),{align:"container",span:"container"}),B._panes.rebuild(void 0,!0),Ze("table.dataTable",B._panes.getNode()).DataTable().columns.adjust(),R.processing(!1)},10))},init:function(w,k,S){w.button(k).text(S.text||w.i18n("searchPanes.collapse","SearchPanes",0)),(w.init().stateSave||S.delayInit===!1)&&E(w,k,S)},config:{},text:"",delayInit:!0};function E(w,k,S){var B=Ze.extend({filterChanged:function(R){w.button(k).text(w.i18n("searchPanes.collapse",w.context[0].oLanguage.searchPanes!==void 0?w.context[0].oLanguage.searchPanes.collapse:w.context[0]._searchPanes.c.i18n.collapse,R))}},S.config),L=B&&(B.cascadePanes||B.viewTotal)?new at.SearchPanesST(w,B):new at.SearchPanes(w,B);w.button(k).text(S.text||w.i18n("searchPanes.collapse",L.c.i18n.collapse,0)),S._panes=L}function $(w,k,S){k===void 0&&(k=null),S===void 0&&(S=!1);var B=new X.Api(w),L=k||B.init().searchPanes||X.defaults.searchPanes,R=L&&(L.cascadePanes||L.viewTotal)?new U(B,L,S):new O(B,L,S),q=R.getNode();return q}Ze(document).on("preInit.dt.dtsp",function(w,k){w.namespace==="dt"&&(k.oInit.searchPanes||at.defaults.searchPanes)&&(k._searchPanes||$(k,null,!0))}),at.ext.feature.push({cFeature:"P",fnInit:$}),at.feature&&at.feature.register("searchPanes",$)})();var dd=ie(ae(),1);var eo=ie(ae(),1);var Et=eo.default;at.select={};at.select.classes={checkbox:"dt-select-checkbox"};at.select.version="2.0.5";at.select.init=function(t){var e=t.settings()[0];if(!at.versionCheck("2"))throw"Warning: Select requires DataTables 2 or newer";if(!e._select){var n=t.state.loaded(),r=function(c,l,h){if(!(h===null||h.select===void 0)){if(t.rows({selected:!0}).any()&&t.rows().deselect(),h.select.rows!==void 0&&t.rows(h.select.rows).select(),t.columns({selected:!0}).any()&&t.columns().deselect(),h.select.columns!==void 0&&t.columns(h.select.columns).select(),t.cells({selected:!0}).any()&&t.cells().deselect(),h.select.cells!==void 0)for(var _=0;_<h.select.cells.length;_++)t.cell(h.select.cells[_].row,h.select.cells[_].column).select();t.state.save()}};t.on("stateSaveParams",function(c,l,h){h.select={},h.select.rows=t.rows({selected:!0}).ids(!0).toArray(),h.select.columns=t.columns({selected:!0})[0],h.select.cells=t.cells({selected:!0})[0].map(function(_){return{row:t.row(_.row).id(!0),column:_.column}})}).on("stateLoadParams",r).one("init",function(){r(void 0,void 0,n)});var s=e.oInit.select,i=at.defaults.select,o=s===void 0?i:s,u="row",p="api",b=!1,g=!0,m=!0,C="td, th",y="selected",T=!0,P=!1;e._select={infoEls:[]},o===!0?(p="os",P=!0):typeof o=="string"?(p=o,P=!0):Et.isPlainObject(o)&&(o.blurable!==void 0&&(b=o.blurable),o.toggleable!==void 0&&(g=o.toggleable),o.info!==void 0&&(m=o.info),o.items!==void 0&&(u=o.items),o.style!==void 0?(p=o.style,P=!0):(p="os",P=!0),o.selector!==void 0&&(C=o.selector),o.className!==void 0&&(y=o.className),o.headerCheckbox!==void 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this.api().column(e,{order:"index"}).nodes().map(function(n){return t._select.items==="row"?Et(n).parent().hasClass(t._select.className).toString():t._select.items==="cell"?Et(n).hasClass(t._select.className).toString():!1})};Et.fn.DataTable.select=at.select;Et(document).on("preInit.dt.dtSelect",function(t,e){t.namespace==="dt"&&at.select.init(new at.Api(e))});Le.Buttons.jszip(ro.default);Le.get_selected_rows=function(t,e){let r=t.rows().count()/2;return Array.from(t.rows({selected:!0}).indexes().map(s=>s<r?s:s+e))};Le.set_selected_rows=function(t,e,n){let r=t.rows().count(),s=r/2,i=s+e,o=r+e;n=Array.from(n.filter(u=>u>=0&&u<o&&(u<s||u>=i)).map(u=>u<s?u:u-e)),t.rows().deselect(),t.rows(n).select()};var ac=Le;var export_jQuery=ud.default;export{Le as DataTable,id as DateTime,ac as default,export_jQuery as jQuery};
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jszip/dist/jszip.min.js:
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jquery/dist/jquery.js:
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datatables.net/js/dataTables.mjs:
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datatables.net-dt/js/dataTables.dataTables.mjs:
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datatables.net-buttons/js/dataTables.buttons.mjs:
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datatables.net-buttons-dt/js/buttons.dataTables.mjs:
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datatables.net-buttons/js/buttons.html5.min.mjs:
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datatables.net-buttons/js/buttons.print.min.mjs:
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datatables.net-select-dt/js/select.dataTables.mjs:
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"(you should not see this message - is your notebook <it>trusted</it>?)\n",
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],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import pandas as pd\n",
"from itables import init_notebook_mode\n",
"\n",
"init_notebook_mode(all_interactive=True)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"domains = pd.read_csv('/vol/sleepstudy/datasets/mesa/datasets/mesa-data-dictionary-0.7.0-domains.csv')\n",
"forms = pd.read_csv('/vol/sleepstudy/datasets/mesa/datasets/mesa-data-dictionary-0.7.0-forms.csv')\n",
"variables = pd.read_csv('/vol/sleepstudy/datasets/mesa/datasets/mesa-data-dictionary-0.7.0-variables.csv')\n",
"dataset = pd.read_csv('/vol/sleepstudy/datasets/mesa/datasets/mesa-sleep-dataset-0.7.0.csv')\n",
"harm_data = pd.read_csv('/vol/sleepstudy/datasets/mesa/datasets/mesa-sleep-harmonized-dataset-0.7.0.csv')"
]
},
{
"cell_type": "code",
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"\n",
" code_book \n",
"0 MESA_PSG_QS_Annotated.pdf \n",
"1 MESA_Sleep_Questionnaire.pdf "
]
},
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{
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" const data = [[\"Administrative\", \"cucmcn1c\", \"Current participant consent for commercial use of data\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"True\", \"NaN\"], [\"Administrative\", \"examnumber\", \"MESA exam number\", \"Note: The MESA Sleep ancillary study took place during MESA Exam 5.\", \"choices\", \"NaN\", \"examnumber\", \"NaN\", \"NaN\", \"True\", \"NaN\"], [\"Administrative\", \"gender1\", \"Gender of the participant\", \"NaN\", \"choices\", \"NaN\", \"gender\", \"NaN\", \"NaN\", \"True\", \"NaN\"], [\"Administrative\", \"mesaid\", \"MESA BioLINCC ID\", \"This subject identifier code matches what has been used previously in MESA datasets on BioLINCC.\", \"identifier\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"True\", \"NaN\"], [\"Administrative\", \"race1c\", \"Race/ethnicity of the participant\", \"Note from MESA Coordinating Center: It is recommended that Investigators make use of the terminology \\\"race/ethnicity\\\" when publishing or presenting variable race1c results (e.g. descriptive summaries, associations, ...). It has been noted that Chinese and Hispanic are not race groups, and that race itself is an ill-defined, non-scientific concept.\", \"choices\", \"NaN\", \"race\", \"NaN\", \"NaN\", \"True\", \"NaN\"], [\"Administrative\", \"site5c\", \"Site at Exam 5\", \"NaN\", \"choices\", \"NaN\", \"site\", \"NaN\", \"NaN\", \"True\", \"NaN\"], [\"Administrative\", \"sleepage5c\", \"Participant Age at MESA Sleep Visit\", \"NaN\", \"integer\", \"years\", \"NaN\", \"NaN\", \"NaN\", \"True\", \"NaN\"], [\"Administrative\", \"sleepqsid\", \"Sleep questionnaire staff ID\", \"NaN\", \"string\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Anthropometry\", \"bmi5c\", \"Body mass index\", \"NaN\", \"numeric\", \"kilograms per meters squared (kg/m2)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Anthropometry\", \"htcm5\", \"Height (cm)\", \"NaN\", \"numeric\", \"centimeters (cm)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Anthropometry\", \"wtlb5\", \"Weight (lbs)\", \"NaN\", \"numeric\", \"pounds (lb)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Clinical Data/Diagnostic Studies/Heart Rate Variability/Full Night\", \"avnn_fn5\", \"Normal-to-normal intervals, full night: Mean\", \"NaN\", \"numeric\", \"milliseconds (ms)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Clinical Data/Diagnostic Studies/Heart Rate Variability/Full Night\", \"hf_fn5\", \"Normal-to-normal intervals between 0.15 and 0.4 Hz, full night: Total spectral power\", \"NaN\", \"numeric\", \"milliseconds squared\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Clinical Data/Diagnostic Studies/Heart Rate Variability/Full Night\", \"hfn_fn5\", \"Low frequency power, full night: Normalized ratio\", \"NaN\", \"numeric\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Clinical Data/Diagnostic Studies/Heart Rate Variability/Full Night\", \"ihr_fn5\", \"Instantaneous heart rate, full night: Average\", \"NaN\", \"numeric\", \"beats per minute (bpm)\", 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Studies/Heart Rate Variability/Non-Overlapping Windows\", \"pnn30_5m5\", \"Adjacent normal-to-normal intervals, non-overlapping windows: Percentage of differences > 30 ms\", \"NaN\", \"numeric\", \"percent (%)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Clinical Data/Diagnostic Studies/Heart Rate Variability/Non-Overlapping Windows\", \"pnn40_5m5\", \"Adjacent normal-to-normal intervals, non-overlapping windows: Percentage of differences > 40 ms\", \"NaN\", \"numeric\", \"percent (%)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Clinical Data/Diagnostic Studies/Heart Rate Variability/Non-Overlapping Windows\", \"pnn50_5m5\", \"Adjacent normal-to-normal intervals, non-overlapping windows: Percentage of differences > 50 ms\", \"NaN\", \"numeric\", \"percent (%)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Clinical Data/Diagnostic Studies/Heart Rate Variability/Non-Overlapping Windows\", \"rmssd_5m5\", \"Adjacent normal-to-normal intervals, non-overlapping windows: Square root of the mean of the squares of differences\", \"NaN\", \"numeric\", \"milliseconds (ms)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Clinical Data/Diagnostic Studies/Heart Rate Variability/Non-Overlapping Windows\", \"sdnn_5m5\", \"Normal-to-normal intervals, non-overlapping windows: Standard deviation\", \"NaN\", \"numeric\", \"milliseconds (ms)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Clinical Data/Diagnostic Studies/Heart Rate Variability/Non-Overlapping Windows\", \"totpwr_5m5\", \"Normal-to-normal intervals up to 0.04 Hz, non-overlapping windows: Total spectral power\", \"NaN\", \"numeric\", \"milliseconds squared\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Clinical Data/Diagnostic Studies/Heart Rate Variability/Non-Overlapping Windows\", \"vlf_5m5\", \"Normal-to-normal intervals between 0.003 and 0.04 Hz (and between 0 and 0.04 Hz in 5-minute windows), non-overlapping windows: Total spectral power\", \"NaN\", \"numeric\", \"milliseconds squared\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Demographics/Employment\", \"extrahrs5\", \"Days per month working extra hours beyong usual schedule\", \"Original question: *23. How many days per month do you work extra hours beyond your usual schedule?*\", \"integer\", \"days\", \"NaN\", \"work_schedule\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Demographics/Employment\", \"wrksched5\", \"Usual work schedule\", \"Original question: *22. Which of the following best describes your usual work schedule?*\", \"choices\", \"NaN\", \"usualwork\", \"work_schedule\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Harmonized/Anthropometry\", \"nsrr_bmi\", \"Body mass index (BMI)\", \"Harmonized by the NSRR team to align with <a href=\\\"https://github.com/UW-GAC/topmed-dcc-harmonized-phenotypes\\\" target=\\\"_blank\\\">TOPMed</a> and <a href=\\\"https://github.com/uc-cdis/gtex-dictionary/tree/master/gdcdictionary/schemas/\\\" target=\\\"_blank\\\">BioDataCatalyst standards</a>. Source: :bmi5c:\", \"numeric\", \"kilograms per meters squared (kg/m2)\", \"NaN\", \"bmi\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Demographics\", \"nsrr_age\", \"Subject age\", \"Harmonized by the NSRR team to align with <a href=\\\"https://github.com/UW-GAC/topmed-dcc-harmonized-phenotypes\\\" target=\\\"_blank\\\">TOPMed</a> and <a href=\\\"https://github.com/uc-cdis/gtex-dictionary/tree/master/gdcdictionary/schemas/\\\" target=\\\"_blank\\\">BioDataCatalyst standards</a>. Source: :sleepage5c: at Visit 5\", \"numeric\", \"years\", \"NaN\", \"age\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Demographics\", \"nsrr_age_gt89\", \"Indicates whether the subject's age (in years) used during date obfuscation is greater than 89 years\", \"Harmonized by the NSRR team to align with <a href=\\\"https://github.com/UW-GAC/topmed-dcc-harmonized-phenotypes\\\" target=\\\"_blank\\\">TOPMed</a> and <a href=\\\"https://github.com/uc-cdis/gtex-dictionary/tree/master/gdcdictionary/schemas/\\\" target=\\\"_blank\\\">BioDataCatalyst standards</a>. Source: :sleepage5c: at Visit 5\", \"choices\", \"NaN\", \"nsrr_age_gt89\", \"age_gt89\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Demographics\", \"nsrr_race\", \"Subject race\", \"Harmonized by the NSRR team to align with <a href=\\\"https://github.com/UW-GAC/topmed-dcc-harmonized-phenotypes\\\" target=\\\"_blank\\\">TOPMed</a> and <a href=\\\"https://github.com/uc-cdis/gtex-dictionary/tree/master/gdcdictionary/schemas/\\\" target=\\\"_blank\\\">BioDataCatalyst standards</a>. Source: :race1c: at Visit 5\", \"choices\", \"NaN\", \"nsrr_race\", \"race\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Demographics\", \"nsrr_sex\", \"Subject sex\", \"Harmonized by the NSRR team to align with <a href=\\\"https://github.com/UW-GAC/topmed-dcc-harmonized-phenotypes\\\" target=\\\"_blank\\\">TOPMed</a> and <a href=\\\"https://github.com/uc-cdis/gtex-dictionary/tree/master/gdcdictionary/schemas/\\\" target=\\\"_blank\\\">BioDataCatalyst standards</a>. Source: :gender1: at Visit 5\", \"choices\", \"NaN\", \"nsrr_sex\", \"annotated_sex\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Lifestyle and Behavioral Health\", \"nsrr_current_smoker\", \"Currently smoking cigarettes\", \"Indicates whether subject currently smokes cigarettes. <br><br>Harmonized by the NSRR team to align with <a href=\\\"https://github.com/UW-GAC/topmed-dcc-harmonized-phenotypes\\\" target=\\\"_blank\\\">TOPMed</a> and <a href=\\\"https://github.com/uc-cdis/gtex-dictionary/tree/master/gdcdictionary/schemas/\\\" target=\\\"_blank\\\">BioDataCatalyst standards</a>. Source: :cursmk5:\", \"choices\", \"NaN\", \"nsrr_current_smoker\", \"current_smoker;smoking\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Lifestyle and Behavioral Health\", \"nsrr_ever_smoker\", \"Ever smoked cigarettes\", \"Indicates whether subject ever regularly smoked cigarettes. <br><br>Harmonized by the NSRR team to align with <a href=\\\"https://github.com/UW-GAC/topmed-dcc-harmonized-phenotypes\\\" target=\\\"_blank\\\">TOPMed</a> and <a href=\\\"https://github.com/uc-cdis/gtex-dictionary/tree/master/gdcdictionary/schemas/\\\" target=\\\"_blank\\\">BioDataCatalyst standards</a>. Source: :smkstat5:\", \"choices\", \"NaN\", \"nsrr_ever_smoker\", \"ever_smoker;smoking\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Polysomnography/Apnea-Hypopnea Indices\", \"nsrr_ahi_hp3r_aasm15\", \"Apnea-Hypopnea Index : (All apneas + hypopneas with >=30% nasal cannula [or alternative sensor] reduction and >= 3% oxygen desaturation or with arousal) / hour of sleep \", \"Harmonized by the NSRR team. <br><br> The definition for hypopneas is consistent with the following clinical guidelines: (1) American Academy of Sleep Medicine (AASM) 2007 Manual (2012 update) (recommended). [Berry RB et al. 2012 (PubMed ID:23066376)] (https://www.ncbi.nlm.nih.gov/pubmed/23066376), and (2) American Academy of Sleep Medicine (AASM) 2015 (recommended) [Berry RB et al. The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications, Version 2.2. American Academy of Sleep Medicine, Darien, IL, 2015.]<br><br> Refer to the source for detailed definition for respiratory events: :ahi_a0h3a:\", \"numeric\", \"number of events per hour\", \"NaN\", \"ahi_ap0uhp3x3r_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Polysomnography/Apnea-Hypopnea Indices\", \"nsrr_ahi_hp3u\", \"Apnea-Hypopnea Index : (All apneas + hypopneas with >= 3% oxygen desaturation) / hour of sleep \", \"Harmonized by the NSRR team. Refer to the source for detailed definition for respiratory events: :ahi_a0h3:\", \"numeric\", \"number of events per hour\", \"NaN\", \"ahi_ap0uhp3x3u_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Polysomnography/Apnea-Hypopnea Indices\", \"nsrr_ahi_hp4r\", \"Apnea-Hypopnea Index : (All apneas + hypopneas with >= 4% oxygen desaturation or with arousal) / hour of sleep \", \"Harmonized by the NSRR team. Refer to the source for detailed definition for respiratory events: :ahi_a0h4a:\", \"numeric\", \"number of events per hour\", \"NaN\", \"ahi_ap0uhp3x4r_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Polysomnography/Apnea-Hypopnea Indices\", \"nsrr_ahi_hp4u_aasm15\", \"Apnea-Hypopnea Index : (All apneas + hypopneas with >=30% nasal cannula [or alternative sensor] reduction with >= 4% oxygen desaturation) / hour of sleep\", \"Harmonized by the NSRR team.<br><br>The definition of hypopnea events is consistent with the following clinical guidelines: (1) AASM 2012 update (alternative) Berry RB et al. 2012 (PubMed ID:23066376), and (2) AASM 2015 (acceptable) [Berry RB et al. The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications, Version 2.2. American Academy of Sleep Medicine, Darien, IL, 2015.].<br><br> Refer to the source for detailed definition for respiratory events: :ahi_a0h4:\", \"numeric\", \"number of events per hour\", \"NaN\", \"ahi_ap0uhp3x4u_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Polysomnography/Arousal\", \"nsrr_phrnumar_f1\", \"Arousal Index: Number of arousals per hour of sleep from polysomnography\", \"Harmonized by the NSRR team. Source: :ai_all5:\", \"numeric\", \"number of events per hour\", \"NaN\", \"phrnumar_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Polysomnography/Signal Quality\", \"nsrr_flag_spsw\", \"Study scored sleep/wake rather than with full sleep staging if there is not sufficient quality on EEG lead. Studies scored as sleep wake have all sleep stages scored using a default of Stage 2 and no arousals are scored. \", \"Harmonized by the NSRR team. Source: :slewake5:\", \"choices\", \"NaN\", \"nsrr_flag_spsw\", \"NaN\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Polysomnography/Sleep Architecture\", \"nsrr_pctdursp_s1\", \"Percentage of total sleep duration (i.e., total sleep time, TST) in stage 1 from polysomnography\", \"Harmonized by the NSRR team. Source: :timest1p5:\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_s1_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Polysomnography/Sleep Architecture\", \"nsrr_pctdursp_s2\", \"Percentage of total sleep duration (i.e., total sleep time, TST) in stage 2 from polysomnography\", \"Harmonized by the NSRR team. Source: :timest2p5:\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_s2_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Polysomnography/Sleep Architecture\", \"nsrr_pctdursp_s3\", \"Percentage of total sleep duration (i.e., total sleep time, TST) in stage 3/4 from polysomnography\", \"Harmonized by the NSRR team. Source: :times34p5:\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_s3_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Polysomnography/Sleep Architecture\", \"nsrr_pctdursp_sr\", \"Percentage of total sleep duration (i.e., total sleep time, TST) in REM from polysomnography\", \"Harmonized by the NSRR team. Source: :timeremp5:\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_sr_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Polysomnography/Sleep Architecture\", \"nsrr_tib_f1\", \"Total In-bed Period: the interval between lights off/in-bed time and lights on/out-bed time from polysomnography\", \"Harmonized by the NSRR team. Conventionally, this would be called time in bed (TIB) <br><br> Source: :time_bed5:\", \"numeric\", \"minutes (min)\", \"NaN\", \"ttlprdbd_f1t2;tib\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Polysomnography/Sleep Architecture\", \"nsrr_tst_f1\", \"Total Sleep Duration: the interval between sleep onset and sleep offset while the participant is asleep from polysomnography\", \"Conventionally, this would be called total sleep time (TST) (i.e. total time spent in stage 1 or greater).<br><br>Harmonized by the NSRR team. Source: :slpprdp5:\", \"numeric\", \"minutes (min)\", \"NaN\", \"ttldursp_f1t2;tst\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Polysomnography/Sleep Architecture\", \"nsrr_ttldursp_s1sr\", \"REM Sleep Latency: the interval between the first sleep epoch and REM sleep excluding wake\", \"Harmonized by the NSRR team. Source: :remlaiip5:\", \"numeric\", \"minutes (min)\", \"NaN\", \"ttldursp_s1sr_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Polysomnography/Sleep Architecture\", \"nsrr_ttleffsp_f1\", \"Sleep Efficiency: the ratio of total sleep duration (i.e., total sleep time) to in-bed period (i.e., time in bed) from polysomnography\", \"Harmonized by the NSRR team. Source: :slp_eff5:\", \"numeric\", \"percent (%)\", \"NaN\", \"ttleffsp_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Polysomnography/Sleep Architecture\", \"nsrr_ttllatsp_f1\", \"Sleep Latency: the interval between lights-out/in-bed time and sleep onset from polysomnography\", \"Harmonized by the NSRR team. Source: :slp_lat5:\", \"integer\", \"minutes (min)\", \"NaN\", \"ttllatsp_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Polysomnography/Sleep Architecture\", \"nsrr_ttlmefsp_f1\", \"Sleep Maintenance Efficiency: the proportion of total sleep duration (i.e., total sleep time) in sleep period (i.e., interval between sleep onset and offset including wake) from polysomnography\", \"Harmonized by the NSRR team. Source: :slp_maint_eff5:\", \"numeric\", \"percent (%)\", \"NaN\", \"ttlmefsp_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Polysomnography/Sleep Architecture\", \"nsrr_ttlprdsp_s1sr\", \"REM Sleep Latency: the interval between the first sleep epoch and REM sleep including wake\", \"Harmonized by the NSRR team. Source: :rem_lat15:\", \"numeric\", \"minutes (min)\", \"NaN\", \"ttlprdsp_s1sr_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Harmonized/Polysomnography/Sleep Architecture\", \"nsrr_waso_f1\", \"Wake After Sleep Onset: the total duration being awake between sleep onset and lights-on/out-bed time from polysomnography\", \"Harmonized by the NSRR team. Source: :waso5:\", \"numeric\", \"minutes (min)\", \"NaN\", \"ttldurws_f1t2;waso\", \"NaN\", \"True\", \"NaN\"], [\"Lifestyle and Behavioral Health\", \"cursmk5\", \"Smoked cigarettes in last 30 days\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Lifestyle and Behavioral Health\", \"smkstat5\", \"Current smoking status\", \"NaN\", \"choices\", \"NaN\", \"smokingstatus\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avg24hrsleep5\", \"Average daily total sleep duration in main sleep and naps combined in all days from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdursp_ib_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avg24hrsleepnw5\", \"Average daily total sleep duration in main sleep and naps combined in non-workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdursp_ib_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avg24hrsleepwd5\", \"Average daily total sleep duration in main sleep and naps combined in weekdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdursp_ib_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avg24hrsleepwe5\", \"Average daily total sleep duration in main sleep and naps combined in weekends from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdursp_ib_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avg24hrsleepwo5\", \"Average daily total sleep duration in main sleep and naps combined in workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdursp_ib_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgbluetalt5\", \"Average blue light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in all days from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallb_ib_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgbluetaltnw5\", \"Average blue light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in non-workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallb_ib_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgbluetaltwd5\", \"Average blue light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in weekdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallb_ib_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgbluetaltwe5\", \"Average blue light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in weekends from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallb_ib_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgbluetaltwo5\", \"Average blue light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallb_ib_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgefficiency5\", \"Average daily sleep efficiency in all days from actigraphy\", \"Sleep efficiency is the proportion of sleep duration (i.e. total sleep time, tst) in total rest period (i.e. rest interval) in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep. In this study, rest interval is the same as in-bed period. \", \"numeric\", \"percent (%)\", \"NaN\", \"avgeffsp_im_w7_f2\", \"NaN\", \"True\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgefficiencynw5\", \"Average daily sleep efficiency in non-workdays from actigraphy\", \"Sleep efficiency is the proportion of sleep duration (i.e. total sleep time, tst) in total rest period (i.e. rest interval) in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep. In this study, rest interval is the same as in-bed period. \", \"numeric\", \"percent (%)\", \"NaN\", \"avgeffsp_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgefficiencywd5\", \"Average daily sleep efficiency in weekdays from actigraphy\", \"Sleep efficiency is the proportion of sleep duration (i.e. total sleep time, tst) in total rest period (i.e. rest interval) in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep. In this study, rest interval is the same as in-bed period. \", \"numeric\", \"percent (%)\", \"NaN\", \"avgeffsp_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgefficiencywe5\", \"Average daily sleep efficiency in weekends from actigraphy\", \"Sleep efficiency is the proportion of sleep duration (i.e. total sleep time, tst) in total rest period (i.e. rest interval) in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep. In this study, rest interval is the same as in-bed period. \", \"numeric\", \"percent (%)\", \"NaN\", \"avgeffsp_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgefficiencywo5\", \"Average daily sleep efficiency in workdays from actigraphy\", \"Sleep efficiency is the proportion of sleep duration (i.e. total sleep time, tst) in total rest period (i.e. rest interval) in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep. In this study, rest interval is the same as in-bed period. \", \"numeric\", \"percent (%)\", \"NaN\", \"avgeffsp_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgfragmentation5\", \"Average daily total sleep fragmentation index in main sleep in all days from actigraphy\", \"Sleep Fragmentation is an index of restlessness during the sleep period expressed as a percentage. [Kristen L et al. 2011 (PubMed ID:21411507)](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3114508/) <br><br>There are three type of measures for sleep fragmentation: movement Index (MI), fragmentation index (FI), and total sleep fragmentation Index. The fragmentation index refers to the percentage of 60?s periods of sleep out of the total number of periods of immobility. The movement index refers to the total of scored awake minutes divided by sleep period (i.e. total time in bed). The total sleep fragmentation index is the sum of FI and MI. (ActiGraph validation reference)[https://actigraphcorp.force.com/support/s/article/Sleep-Fragmentation-Index-Validation-Reference]\", \"numeric\", \"percent (%)\", \"NaN\", \"avgindfg_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgfragmentationnw5\", \"Average daily total sleep fragmentation index in main sleep in non-workdays from actigraphy\", \"Sleep Fragmentation is an index of restlessness during the sleep period expressed as a percentage. [Kristen L et al. 2011 (PubMed ID:21411507)](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3114508/) <br><br>There are three type of measures for sleep fragmentation: movement Index (MI), fragmentation index (FI), and total sleep fragmentation Index. The fragmentation index refers to the percentage of 60?s periods of sleep out of the total number of periods of immobility. The movement index refers to the total of scored awake minutes divided by sleep period (i.e. total time in bed). The total sleep fragmentation index is the sum of FI and MI. (ActiGraph validation reference)[https://actigraphcorp.force.com/support/s/article/Sleep-Fragmentation-Index-Validation-Reference]\", \"numeric\", \"percent (%)\", \"NaN\", \"avgindfg_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgfragmentationwd5\", \"Average daily total sleep fragmentation index in main sleep in weekdays from actigraphy\", \"Sleep Fragmentation is an index of restlessness during the sleep period expressed as a percentage. [Kristen L et al. 2011 (PubMed ID:21411507)](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3114508/) <br><br>There are three type of measures for sleep fragmentation: movement Index (MI), fragmentation index (FI), and total sleep fragmentation Index. The fragmentation index refers to the percentage of 60?s periods of sleep out of the total number of periods of immobility. The movement index refers to the total of scored awake minutes divided by sleep period (i.e. total time in bed). The total sleep fragmentation index is the sum of FI and MI. (ActiGraph validation reference)[https://actigraphcorp.force.com/support/s/article/Sleep-Fragmentation-Index-Validation-Reference]\", \"numeric\", \"percent (%)\", \"NaN\", \"avgindfg_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgfragmentationwe5\", \"Average daily total sleep fragmentation index in main sleep in weekends from actigraphy\", \"Sleep Fragmentation is an index of restlessness during the sleep period expressed as a percentage. [Kristen L et al. 2011 (PubMed ID:21411507)](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3114508/) <br><br>There are three type of measures for sleep fragmentation: movement Index (MI), fragmentation index (FI), and total sleep fragmentation Index. The fragmentation index refers to the percentage of 60?s periods of sleep out of the total number of periods of immobility. The movement index refers to the total of scored awake minutes divided by sleep period (i.e. total time in bed). The total sleep fragmentation index is the sum of FI and MI. (ActiGraph validation reference)[https://actigraphcorp.force.com/support/s/article/Sleep-Fragmentation-Index-Validation-Reference]\", \"numeric\", \"percent (%)\", \"NaN\", \"avgindfg_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgfragmentationwo5\", \"Average daily total sleep fragmentation index in main sleep in workdays from actigraphy\", \"Sleep Fragmentation is an index of restlessness during the sleep period expressed as a percentage. [Kristen L et al. 2011 (PubMed ID:21411507)](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3114508/) <br><br>There are three type of measures for sleep fragmentation: movement Index (MI), fragmentation index (FI), and total sleep fragmentation Index. The fragmentation index refers to the percentage of 60?s periods of sleep out of the total number of periods of immobility. The movement index refers to the total of scored awake minutes divided by sleep period (i.e. total time in bed). The total sleep fragmentation index is the sum of FI and MI. (ActiGraph validation reference)[https://actigraphcorp.force.com/support/s/article/Sleep-Fragmentation-Index-Validation-Reference]\", \"numeric\", \"percent (%)\", \"NaN\", \"avgindfg_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avggreentalt5\", \"Average green light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in all days from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallg_ib_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avggreentaltnw5\", \"Average green light time above 1,000 microwatts per square centimeter threshold over 24-hour periods non-workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallg_ib_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avggreentaltwd5\", \"Average green light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in weekdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallg_ib_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avggreentaltwe5\", \"Average green light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in weekends from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallg_ib_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avggreentaltwo5\", \"Average green light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallg_ib_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avginbedduration5\", \"Average daily duration of rest period in all days from actigraphy\", \"In this study, rest period (i.e. rest internal) is defined as in-bed period (i.e. time in bed, TIB) in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgprdbd_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avginbeddurationnw5\", \"Average daily duration of rest period in non-workdays from actigraphy\", \"In this study, rest period (i.e. rest internal) is defined as in-bed period (i.e. time in bed, TIB) in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgprdbd_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avginbeddurationwd5\", \"Average daily duration of rest period in weekdays from actigraphy\", \"In this study, rest period (i.e. rest internal) is defined as in-bed period (i.e. time in bed, TIB) in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgprdbd_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avginbeddurationwe5\", \"Average daily duration of rest period in weekends from actigraphy\", \"In this study, rest period (i.e. rest internal) is defined as in-bed period (i.e. time in bed, TIB) in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgprdbd_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avginbeddurationwo5\", \"Average daily duration of rest period in workdays from actigraphy\", \"In this study, rest period (i.e. rest internal) is defined as in-bed period (i.e. time in bed, TIB) in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgprdbd_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avginbedtime5\", \"Average daily start time for rest period in all days from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed, TIB), therefore the start time of rest period is in-bed time.\", \"time\", \"NaN\", \"NaN\", \"avgbptbd_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avginbedtimenw5\", \"Average daily start time for rest period in non-workdays from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed, TIB), therefore the start time of rest period is in-bed time.\", \"time\", \"NaN\", \"NaN\", \"avgbptbd_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avginbedtimewd5\", \"Average daily start time for rest period in weekdays from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed, TIB), therefore the start time of rest period is in-bed time.\", \"time\", \"NaN\", \"NaN\", \"avgbptbd_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avginbedtimewe5\", \"Average daily start time for rest period in weekends from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed, TIB), therefore the start time of rest period is in-bed time.\", \"time\", \"NaN\", \"NaN\", \"avgbptbd_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avginbedtimewo5\", \"Average daily start time for rest period in workdays from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed, TIB), therefore the start time of rest period is in-bed time.\", \"time\", \"NaN\", \"NaN\", \"avgbptbd_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avginbedwake5\", \"Average daily duration of wake in bed in all days from actigraphy\", \"Duration of wake in bed is the sum of sleep latency, wake after sleep onset (WASO) and wake after sleep offset in main sleep. Conventionally, this variable would be called \\\"total wake time\\\" (TWT).\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdurwk_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avginbedwakenw5\", \"Average daily duration of wake in bed in non-workdays from actigraphy\", \"Duration of wake in bed is the sum of sleep latency, wake after sleep onset (WASO) and wake after sleep offset in main sleep. Conventionally, this variable would be called \\\"total wake time\\\" (TWT).\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdurwk_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avginbedwakewd5\", \"Average daily duration of wake in bed in weekdays from actigraphy\", \"Duration of wake in bed is the sum of sleep latency, wake after sleep onset (WASO) and wake after sleep offset in main sleep. Conventionally, this variable would be called \\\"total wake time\\\" (TWT).\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdurwk_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avginbedwakewe5\", \"Average daily duration of wake in bed in weekends from actigraphy\", \"Duration of wake in bed is the sum of sleep latency, wake after sleep onset (WASO) and wake after sleep offset in main sleep. Conventionally, this variable would be called \\\"total wake time\\\" (TWT).\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdurwk_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avginbedwakewo5\", \"Average daily duration of wake in bed in workdays from actigraphy\", \"Duration of wake in bed is the sum of sleep latency, wake after sleep onset (WASO) and wake after sleep offset in main sleep. Conventionally, this variable would be called \\\"total wake time\\\" (TWT).\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdurwk_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgmainsleep5\", \"Average daily total sleep duration in main sleep in all days from actigraphy\", \"Conventionally this variable would be called total sleep time (TST)\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdursp_im_w7_f2\", \"NaN\", \"True\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgmainsleepnw5\", \"Average daily total sleep duration in main sleep in non-workdays from actigraphy\", \"Conventionally this variable would be called total sleep time (TST)\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdursp_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgmainsleepwd5\", \"Average daily total sleep duration in main sleep in weekdays from actigraphy\", \"Conventionally this variable would be called total sleep time (TST)\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdursp_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgmainsleepwe5\", \"Average daily total sleep duration in main sleep in weekends from actigraphy\", \"Conventionally this variable would be called total sleep time (TST)\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdursp_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgmainsleepwo5\", \"Average daily total sleep duration in main sleep in workdays from actigraphy\", \"Conventionally this variable would be called total sleep time (TST)\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdursp_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgmainteff5\", \"Average daily sleep maintenance efficiency in all days from actigraphy\", \"Sleep maintenance efficiency is the ratio between sleep duration (i.e. total sleep time, tst) and sleep period in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep, while sleep period is the interval between sleep onset time and sleep offset time. \", \"numeric\", \"percent (%)\", \"NaN\", \"avgmefsp_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgmainteffnw5\", \"Average daily sleep maintenance efficiency in non-workdays from actigraphy\", \"Sleep maintenance efficiency is the ratio between sleep duration (i.e. total sleep time, tst) and sleep period in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep, while sleep period is the interval between sleep onset time and sleep offset time. \", \"numeric\", \"percent (%)\", \"NaN\", \"avgmefsp_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgmainteffwd5\", \"Average daily sleep maintenance efficiency in weekdays from actigraphy\", \"Sleep maintenance efficiency is the ratio between sleep duration (i.e. total sleep time, tst) and sleep period in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep, while sleep period is the interval between sleep onset time and sleep offset time. \", \"numeric\", \"percent (%)\", \"NaN\", \"avgmefsp_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgmainteffwe5\", \"Average daily sleep maintenance efficiency in weekends from actigraphy\", \"Sleep maintenance efficiency is the ratio between sleep duration (i.e. total sleep time, tst) and sleep period in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep, while sleep period is the interval between sleep onset time and sleep offset time. \", \"numeric\", \"percent (%)\", \"NaN\", \"avgmefsp_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgmainteffwo5\", \"Average daily sleep maintenance efficiency in workdays from actigraphy\", \"Sleep maintenance efficiency is the ratio between sleep duration (i.e. total sleep time, tst) and sleep period in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep, while sleep period is the interval between sleep onset time and sleep offset time. \", \"numeric\", \"percent (%)\", \"NaN\", \"avgmefsp_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgnnapsall5\", \"Average daily number of naps in all days from actigraphy\", \"In this study, naps were marked based on sleep diaries and sustained periods (>5 minutes) of inactivity.\", \"numeric\", \"number of events\", \"NaN\", \"pdynumnp_in_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgnnapsallnw5\", \"Average daily number of naps in non-workdays from actigraphy\", \"In this study, naps were marked based on sleep diaries and sustained periods (>5 minutes) of inactivity.\", \"numeric\", \"number of events\", \"NaN\", \"pdynumnp_in_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgnnapsallwd5\", \"Average daily number of naps in weekdays from actigraphy\", \"In this study, naps were marked based on sleep diaries and sustained periods (>5 minutes) of inactivity.\", \"numeric\", \"number of events\", \"NaN\", \"pdynumnp_in_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgnnapsallwe5\", \"Average daily number of naps in weekends from actigraphy\", \"In this study, naps were marked based on sleep diaries and sustained periods (>5 minutes) of inactivity.\", \"numeric\", \"number of events\", \"NaN\", \"pdynumnp_in_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgnnapsallwo5\", \"Average daily number of naps in workdays from actigraphy\", \"In this study, naps were marked based on sleep diaries and sustained periods (>5 minutes) of inactivity.\", \"numeric\", \"number of events\", \"NaN\", \"pdynumnp_in_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgnnapssleep155\", \"Average daily number of naps (>= 15 minutes) in all days from actigraphy\", \"NaN\", \"numeric\", \"number of events\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgnnapssleep15nw5\", \"Average daily number of naps (>= 15 minutes) in non-workdays from actigraphy\", \"NaN\", \"numeric\", \"number of events\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgnnapssleep15wd5\", \"Average daily number of naps (>= 15 minutes) in weekdays from actigraphy\", \"NaN\", \"numeric\", \"number of events\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgnnapssleep15we5\", \"Average daily number of naps (>= 15 minutes) in weekends from actigraphy\", \"NaN\", \"numeric\", \"number of events\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgnnapssleep15wo5\", \"Average daily number of naps (>= 15 minutes) in workdays from actigraphy\", \"NaN\", \"numeric\", \"number of events\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgnnapssleep5\", \"Average daily number of naps (with some sleep are counted) in all days from actigraphy\", \"NaN\", \"numeric\", \"number of events\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgnnapssleepnw5\", \"Average daily number of naps (with some sleep are counted) in non-workdays from actigraphy\", \"NaN\", \"numeric\", \"number of events\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgnnapssleepwd5\", \"Average daily number of naps (with some sleep are counted) in weekdays from actigraphy\", \"NaN\", \"numeric\", \"number of events\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgnnapssleepwe5\", \"Average daily number of naps (with some sleep are counted) in weekends from actigraphy\", \"NaN\", \"numeric\", \"number of events\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgnnapssleepwo5\", \"Average daily number of naps (with some sleep are counted) in workdays from actigraphy\", \"NaN\", \"numeric\", \"number of events\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgonsetlatency5\", \"Average daily sleep onset latency in all days from actigraphy\", \"Sleep latency is the interval between the start of rest period (i.e. rest interval) and sleep onset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avglatsp_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgonsetlatencynw5\", \"Average daily sleep onset latency in non-workdays from actigraphy\", \"Sleep latency is the interval between the start of rest period (i.e. rest interval) and sleep onset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avglatsp_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgonsetlatencywd5\", \"Average daily sleep onset latency in weekdays from actigraphy\", \"Sleep latency is the interval between the start of rest period (i.e. rest interval) and sleep onset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avglatsp_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgonsetlatencywe5\", \"Average daily sleep onset latency in weekends from actigraphy\", \"Sleep latency is the interval between the start of rest period (i.e. rest interval) and sleep onset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avglatsp_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgonsetlatencywo5\", \"Average daily sleep onset latency in workdays from actigraphy\", \"Sleep latency is the interval between the start of rest period (i.e. rest interval) and sleep onset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avglatsp_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgoutbedtime5\", \"Average daily end time for rest period in all days from actigraphy\", \"In this study, the end time for rest period (i.e. rest interval) is defined as the out-bed time in main sleeps.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgeptbd_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgoutbedtimenw5\", \"Average daily end time for rest period in non-workdays from actigraphy\", \"In this study, the end time for rest period (i.e. rest interval) is defined as the out-bed time in main sleeps.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgeptbd_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgoutbedtimewd5\", \"Average daily end time for rest period in weekdays from actigraphy\", \"In this study, the end time for rest period (i.e. rest interval) is defined as the out-bed time in main sleeps.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgeptbd_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgoutbedtimewe5\", \"Average daily end time for rest period in weekends from actigraphy\", \"In this study, the end time for rest period (i.e. rest interval) is defined as the out-bed time in main sleeps.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgeptbd_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgoutbedtimewo5\", \"Average daily end time for rest period in workdays from actigraphy\", \"In this study, the end time for rest period (i.e. rest interval) is defined as the out-bed time in main sleeps.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgeptbd_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgredtalt5\", \"Average red light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in all days from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallr_ib_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgredtaltnw5\", \"Average red light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in non-workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallr_ib_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgredtaltwd5\", \"Average red light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in weekdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallr_ib_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgredtaltwe5\", \"Average red light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in weekends from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallr_ib_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgredtaltwo5\", \"Average red light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallr_ib_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgrestmidpoint5\", \"Average daily midpoint for rest period in main sleep in all days from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed). \", \"time\", \"hh:mm:ss\", \"NaN\", \"avgmptbd_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgrestmidpointnw5\", \"Average daily midpoint for rest period in main sleep in non-workdays from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed). \", \"time\", \"hh:mm:ss\", \"NaN\", \"avgmptbd_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgrestmidpointwd5\", \"Average daily midpoint for rest period in main sleep in weekdays from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed). \", \"time\", \"hh:mm:ss\", \"NaN\", \"avgmptbd_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgrestmidpointwe5\", \"Average daily midpoint for rest period in main sleep in weekends from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed). \", \"time\", \"hh:mm:ss\", \"NaN\", \"avgmptbd_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgrestmidpointwo5\", \"Average daily midpoint for rest period in main sleep in workdays from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed). \", \"time\", \"hh:mm:ss\", \"NaN\", \"avgmptbd_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepbouts5\", \"Average daily number of sleep bouts in main sleep in all days from actigraphy\", \"sleep bouts are continuous blocks, one or more epochs in duration, with each epoch of each block scored as \\\"sleep\\\", between the start time and the end time of the given interval.\", \"numeric\", \"number of events\", \"NaN\", \"avgbotsp_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepboutsnw5\", \"Average daily number of sleep bouts in main sleep in non-workdays from actigraphy\", \"sleep bouts are continuous blocks, one or more epochs in duration, with each epoch of each block scored as \\\"sleep\\\", between the start time and the end time of the given interval.\", \"numeric\", \"number of events\", \"NaN\", \"avgbotsp_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepboutswd5\", \"Average daily number of sleep bouts in main sleep in weekdays from actigraphy\", \"sleep bouts are continuous blocks, one or more epochs in duration, with each epoch of each block scored as \\\"sleep\\\", between the start time and the end time of the given interval.\", \"numeric\", \"number of events\", \"NaN\", \"avgbotsp_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepboutswe5\", \"Average daily number of sleep bouts in main sleep in weekends from actigraphy\", \"sleep bouts are continuous blocks, one or more epochs in duration, with each epoch of each block scored as \\\"sleep\\\", between the start time and the end time of the given interval.\", \"numeric\", \"number of events\", \"NaN\", \"avgbotsp_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepboutswo5\", \"Average daily number of sleep bouts in main sleep in workdays from actigraphy\", \"sleep bouts are continuous blocks, one or more epochs in duration, with each epoch of each block scored as \\\"sleep\\\", between the start time and the end time of the given interval.\", \"numeric\", \"number of events\", \"NaN\", \"avgbotsp_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepmidpoint5\", \"Average daily midpoint for sleep period in all days from actigraphy\", \"Sleep period is the interval between sleep onset time and sleep offset time in main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgmptsp_im_w7_f2\", \"NaN\", \"True\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepmidpointnw5\", \"Average daily midpoint for sleep period in non-workdays from actigraphy\", \"Sleep period is the interval between sleep onset time and sleep offset time in main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgmptsp_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepmidpointwd5\", \"Average daily midpoint for sleep period in weekdays from actigraphy\", \"Sleep period is the interval between sleep onset time and sleep offset time in main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgmptsp_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepmidpointwe5\", \"Average daily midpoint for sleep period in weekends from actigraphy\", \"Sleep period is the interval between sleep onset time and sleep offset time in main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgmptsp_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepmidpointwo5\", \"Average daily midpoint for sleep period in workdays from actigraphy\", \"Sleep period is the interval between sleep onset time and sleep offset time in main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgmptsp_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapdaily155\", \"Average daily total sleep duration in naps (>= 15 minutes) in all days from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapdaily15nw5\", \"Average daily total sleep duration in naps (>= 15 minutes) in non-workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapdaily15wd5\", \"Average daily total sleep duration in naps (>= 15 minutes) in weekdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapdaily15we5\", \"Average daily total sleep duration in naps (>= 15 minutes) in all weekends from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapdaily15wo5\", \"Average daily total sleep duration in naps (>= 15 minutes) in workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapdaily5\", \"Average daily total sleep duration in naps (with some sleep are counted) in all days from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapdailyrd5\", \"Average daily total sleep duration in naps (with some sleep are counted) in non-workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapdailywd5\", \"Average daily total sleep duration in naps (with some sleep are counted) in weekdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapdailywe5\", \"Average daily total sleep duration in naps (with some sleep are counted) in all weekends from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapdailywo5\", \"Average daily total sleep duration in naps (with some sleep are counted) in workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapsall5\", \"Average sleep duration per nap in all days from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"pnpdursp_in_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapsallnw5\", \"Average sleep duration per nap in non-workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"pnpdursp_in_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapsallwd5\", \"Average sleep duration per nap in weekdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"pnpdursp_in_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapsallwe5\", \"Average sleep duration per nap in weekends from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"pnpdursp_in_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapsallwo5\", \"Average sleep duration per nap in workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"pnpdursp_in_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapssleep155\", \"Average sleep duration per nap (>= 15 minutes) in all days from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapssleep15nw5\", \"Average sleep duration per nap (>= 15 minutes) in non-workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapssleep15wd5\", \"Average sleep duration per nap (>= 15 minutes) in weekdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapssleep15we5\", \"Average sleep duration per nap (>= 15 minutes) in weekends from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapssleep15wo5\", \"Average sleep duration per nap (>= 15 minutes) in workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapssleep5\", \"Average sleep duration per nap (with some sleep are counted) in all days from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapssleepnw5\", \"Average sleep duration per nap (with some sleep are counted) in non-workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapssleepwd5\", \"Average sleep duration per nap (with some sleep are counted) in weekdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapssleepwe5\", \"Average sleep duration per nap (with some sleep are counted) in weekends from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepnapssleepwo5\", \"Average sleep duration per nap (with some sleep are counted) in workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepoffsettime5\", \"Average daily sleep offset time in all days from actigraphy\", \"Sleep offset time is the end time of main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgeptsp_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepoffsettimenw5\", \"Average daily sleep offset time in non-workdays from actigraphy\", \"Sleep offset time is the end time of main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgeptsp_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepoffsettimewd5\", \"Average daily sleep offset time in weekdays from actigraphy\", \"Sleep offset time is the end time of main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgeptsp_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepoffsettimewe5\", \"Average daily sleep offset time in weekends from actigraphy\", \"Sleep offset time is the end time of main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgeptsp_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepoffsettimewo5\", \"Average daily sleep offset time in workdays from actigraphy\", \"Sleep offset time is the end time of main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgeptsp_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleeponsettime5\", \"Average daily sleep onset time in all days from actigraphy\", \"Sleep onset time is the start time of main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgbptsp_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleeponsettimenw5\", \"Average daily sleep onset time in non-workdays from actigraphy\", \"Sleep onset time is the start time of main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgbptsp_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleeponsettimewd5\", \"Average daily sleep onset time in weekdays from actigraphy\", \"Sleep onset time is the start time of main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgbptsp_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleeponsettimewe5\", \"Average daily sleep onset time in weekends from actigraphy\", \"Sleep onset time is the start time of main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgbptsp_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleeponsettimewo5\", \"Average daily sleep onset time in workdays from actigraphy\", \"Sleep onset time is the start time of main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"avgbptsp_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepperiodduration5\", \"Average daily sleep period in all days from actigraphy\", \"Sleep period (i.e. total sleep time, TST) is the interval between sleep onset time and sleep offset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgprdsp_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepperioddurationnw5\", \"Average daily sleep period in non-workdays from actigraphy\", \"Sleep period (i.e. total sleep time, TST) is the interval between sleep onset time and sleep offset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgprdsp_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepperioddurationwd5\", \"Average daily sleep period in weekdays from actigraphy\", \"Sleep period (i.e. total sleep time, TST) is the interval between sleep onset time and sleep offset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgprdsp_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepperioddurationwe5\", \"Average daily sleep period in weekends from actigraphy\", \"Sleep period (i.e. total sleep time, TST) is the interval between sleep onset time and sleep offset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgprdsp_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsleepperioddurationwo5\", \"Average daily sleep period in workdays from actigraphy\", \"Sleep period (i.e. total sleep time, TST) is the interval between sleep onset time and sleep offset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgprdsp_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsnooze5\", \"Average daily duration of wake after sleep offset in all days from actigraphy\", \"Wake after sleep offset refers to the time elapsed between the end of sleep and the end of ret interval in main sleeps.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdursz_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsnoozenw5\", \"Average daily duration of wake after sleep offset in non-workdays from actigraphy\", \"Wake after sleep offset refers to the time elapsed between the end of sleep and the end of ret interval in main sleeps.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdursz_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsnoozewd5\", \"Average daily duration of wake after sleep offset in weekdays from actigraphy\", \"Wake after sleep offset refers to the time elapsed between the end of sleep and the end of ret interval in main sleeps.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdursz_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsnoozewe5\", \"Average daily duration of wake after sleep offset in weekends from actigraphy\", \"Wake after sleep offset refers to the time elapsed between the end of sleep and the end of ret interval in main sleeps.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdursz_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgsnoozewo5\", \"Average daily duration of wake after sleep offset in workdays from actigraphy\", \"Wake after sleep offset refers to the time elapsed between the end of sleep and the end of ret interval in main sleeps.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdursz_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgwakebouts5\", \"Average daily number of wake bouts in main sleep in all days from actigraphy\", \"Wake bouts is also referred to as \\\"nocturnal awakenings\\\". There are always comparable number of wake bouts to sleep bouts.\", \"numeric\", \"number of events\", \"NaN\", \"avgbotwk_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgwakeboutsnw5\", \"Average daily number of wake bouts in main sleep in non-workdays from actigraphy\", \"Wake bouts is also referred to as \\\"nocturnal awakenings\\\". There are always comparable number of wake bouts to sleep bouts.\", \"numeric\", \"number of events\", \"NaN\", \"avgbotwk_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgwakeboutswd5\", \"Average daily number of wake bouts in main sleep in weekdays from actigraphy\", \"Wake bouts is also referred to as \\\"nocturnal awakenings\\\". There are always comparable number of wake bouts to sleep bouts.\", \"numeric\", \"number of events\", \"NaN\", \"avgbotwk_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgwakeboutswe5\", \"Average daily number of wake bouts in main sleep in weekends from actigraphy\", \"Wake bouts is also referred to as \\\"nocturnal awakenings\\\". There are always comparable number of wake bouts to sleep bouts.\", \"numeric\", \"number of events\", \"NaN\", \"avgbotwk_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgwakeboutswo5\", \"Average daily number of wake bouts in main sleep in workdays from actigraphy\", \"Wake bouts is also referred to as \\\"nocturnal awakenings\\\". There are always comparable number of wake bouts to sleep bouts.\", \"numeric\", \"number of events\", \"NaN\", \"avgbotwk_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgwaso5\", \"Average daily duration of wake after sleep onset (waso) in all days from actigraphy\", \"WASO is the duration of being awake between sleep onset and offset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdurws_im_w7_f2\", \"NaN\", \"True\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgwasonw5\", \"Average daily duration of wake after sleep onset (waso) in non-workdays from actigraphy\", \"WASO is the duration of being awake between sleep onset and offset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdurws_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgwasowd5\", \"Average daily duration of wake after sleep onset (waso) in weekdays from actigraphy\", \"WASO is the duration of being awake between sleep onset and offset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdurws_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgwasowe5\", \"Average daily duration of wake after sleep onset (waso) in weekends from actigraphy\", \"WASO is the duration of being awake between sleep onset and offset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdurws_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgwasowo5\", \"Average daily duration of wake after sleep onset (waso) in workdays from actigraphy\", \"WASO is the duration of being awake between sleep onset and offset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgdurws_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgwhitetalt5\", \"Average whte light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in all days from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallw_ib_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgwhitetaltnw5\", \"Average whte light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in non-workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallw_ib_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgwhitetaltwd5\", \"Average whte light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in weekdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallw_ib_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgwhitetaltwe5\", \"Average whte light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in weekends from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallw_ib_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"avgwhitetaltwo5\", \"Average whte light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"avgtallw_ib_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"diarycomplete5\", \"Actigraphy QS: Diary Completeness\", \"NaN\", \"choices\", \"NaN\", \"sleepdiarycomplete\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"diarypresent5\", \"Actigraphy QS: Diary Present\", \"NaN\", \"choices\", \"NaN\", \"sleepdiarypresabs\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"dstoverlap5\", \"Study Overlaps With Daylight Saving Time Start (March) Or End (November)\", \"NaN\", \"choices\", \"NaN\", \"daylightsavingoverlap\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"epochlength5\", \"Original Epoch Length For Processed Actigraphy Study (Seconds)\", \"NaN\", \"numeric\", \"seconds (s)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndays5\", \"Total number of days with sleep data in the entire actigraphy recording period in all days from actigraphy\", \"NaN\", \"integer\", \"days\", \"NaN\", \"ttldaysp_ir_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndaysnapsall5\", \"Total number of days with naps in the entire actigraphy recording period in all days from actigraphy\", \"NaN\", \"integer\", \"days\", \"NaN\", \"ttldaynp_ir_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndaysnapsallnw5\", \"Total number of days with naps in the entire actigraphy recording period in non-workdays from actigraphy\", \"NaN\", \"integer\", \"non-workdays\", \"NaN\", \"ttldaynp_ir_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndaysnapsallwd5\", \"Total number of days with naps in the entire actigraphy recording period in weekdays from actigraphy\", \"NaN\", \"integer\", \"weekend days\", \"NaN\", \"ttldaynp_ir_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndaysnapsallwe5\", \"Total number of days with naps in the entire actigraphy recording period in weekends from actigraphy\", \"NaN\", \"integer\", \"weekend days\", \"NaN\", \"ttldaynp_ir_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndaysnapsallwo5\", \"Total number of days with naps in the entire actigraphy recording period in workdays from actigraphy\", \"NaN\", \"integer\", \"workdays\", \"NaN\", \"ttldaynp_ir_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndaysnapssleep155\", \"Total number of days with naps (>= 15 minutes) in the entire actigraphy recording period in all days from actigraphy\", \"NaN\", \"integer\", \"days\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndaysnapssleep15nw5\", \"Total number of days with naps (>= 15 minutes) in the entire actigraphy recording period in non-workdays from actigraphy\", \"NaN\", \"integer\", \"non-workdays\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndaysnapssleep15wd5\", \"Total number of days with naps (>= 15 minutes) in the entire actigraphy recording period in weekdays from actigraphy\", \"NaN\", \"integer\", \"weekdays\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndaysnapssleep15we5\", \"Total number of days with naps (>= 15 minutes) in the entire actigraphy recording period in weekends from actigraphy\", \"NaN\", \"integer\", \"weekend days\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndaysnapssleep15wo5\", \"Total number of days with naps (>= 15 minutes) in the entire actigraphy recording period in workdays from actigraphy\", \"NaN\", \"integer\", \"workdays\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndaysnapssleep5\", \"Total number of days with naps (with some sleep are counted) in the entire actigraphy recording period in all days from actigraphy\", \"NaN\", \"integer\", \"days\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndaysnapssleepnw5\", \"Total number of days with naps (with some sleep are counted) in the entire actigraphy recording period in non-workdays from actigraphy\", \"NaN\", \"integer\", \"non-workdays\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndaysnapssleepwd5\", \"Total number of days with naps (with some sleep are counted) in the entire actigraphy recording period in weekdays from actigraphy\", \"NaN\", \"integer\", \"weekend days\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndaysnapssleepwe5\", \"Total number of days with naps (with some sleep are counted) in the entire actigraphy recording period in weekends from actigraphy\", \"NaN\", \"integer\", \"weekend days\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndaysnapssleepwo5\", \"Total number of days with naps (with some sleep are counted) in the entire actigraphy recording period in workdays from actigraphy\", \"NaN\", \"integer\", \"workdays\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndaysnw5\", \"Total number of days with sleep data in the entire actigraphy recording period in non-workdays from actigraphy\", \"NaN\", \"integer\", \"non-workdays\", \"NaN\", \"ttldaysp_ir_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndayswd5\", \"Total number of days with sleep data in the entire actigraphy recording period in weekdays from actigraphy\", \"NaN\", \"integer\", \"weekdays\", \"NaN\", \"ttldaysp_ir_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndayswe5\", \"Total number of days with sleep data in the entire actigraphy recording period in weekends from actigraphy\", \"NaN\", \"integer\", \"weekend days\", \"NaN\", \"ttldaysp_ir_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"ndayswo5\", \"Total number of days with sleep data in the entire actigraphy recording period in workdays from actigraphy\", \"NaN\", \"integer\", \"workdays\", \"NaN\", \"ttldaysp_ir_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"nightsinvalid5\", \"Actigraphy QS: # of Invalid Nights\", \"NaN\", \"integer\", \"invalid nights\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"nightsrec5\", \"Actigraphy QS: # of Nights Recorded\", \"NaN\", \"integer\", \"nights\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"nightsvalid5\", \"Actigraphy QS: # of Valid Nights\", \"NaN\", \"integer\", \"valid nights\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"overallqual5\", \"Actigraphy QS: Overall Quality Grading (QS)\", \"NaN\", \"choices\", \"NaN\", \"overallqualitygrade\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sd24hrsleep5\", \"Standard deviation of daily total sleep duration in main sleep and naps combined in all days from actigraphy\", \"This variable measures the within subject variability of daily total sleep duration in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"stddursp_ib_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sd24hrsleepnw5\", \"Standard deviation of daily total sleep duration in main sleep and naps combined in non-workdays from actigraphy\", \"This variable measures the within subject variability of daily total sleep duration in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"stddursp_ib_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sd24hrsleepwd5\", \"Standard deviation of daily total sleep duration in main sleep and naps combined in weekdays from actigraphy\", \"This variable measures the within subject variability of daily total sleep duration in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"stddursp_ib_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sd24hrsleepwe5\", \"Standard deviation of daily total sleep duration in main sleep and naps combined in weekends from actigraphy\", \"This variable measures the within subject variability of daily total sleep duration in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"stddursp_ib_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sd24hrsleepwo5\", \"Standard deviation of daily total sleep duration in main sleep and naps combined in workdays from actigraphy\", \"This variable measures the within subject variability of daily total sleep duration in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"stddursp_ib_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdefficiency5\", \"Standard deviation of the daily sleep efficiency in all days from actigraphy\", \"Sleep efficiency is the proportion of sleep duration (i.e. total sleep time, tst) in total rest period (i.e. rest interval) in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep. In this study, rest interval is the same as in-bed period. \", \"numeric\", \"percent (%)\", \"NaN\", \"stdeffsp_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdefficiencynw5\", \"Standard deviation of the daily sleep efficiency in non-workdays from actigraphy\", \"Sleep efficiency is the proportion of sleep duration (i.e. total sleep time, tst) in total rest period (i.e. rest interval) in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep. In this study, rest interval is the same as in-bed period. \", \"numeric\", \"percent (%)\", \"NaN\", \"stdeffsp_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdefficiencywd5\", \"Standard deviation of the daily sleep efficiency in weekdays from actigraphy\", \"Sleep efficiency is the proportion of sleep duration (i.e. total sleep time, tst) in total rest period (i.e. rest interval) in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep. In this study, rest interval is the same as in-bed period. \", \"numeric\", \"percent (%)\", \"NaN\", \"stdeffsp_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdefficiencywe5\", \"Standard deviation of the daily sleep efficiency in weekends from actigraphy\", \"Sleep efficiency is the proportion of sleep duration (i.e. total sleep time, tst) in total rest period (i.e. rest interval) in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep. In this study, rest interval is the same as in-bed period. \", \"numeric\", \"percent (%)\", \"NaN\", \"stdeffsp_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdefficiencywo5\", \"Standard deviation of the daily sleep efficiency in workdays from actigraphy\", \"Sleep efficiency is the proportion of sleep duration (i.e. total sleep time, tst) in total rest period (i.e. rest interval) in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep. In this study, rest interval is the same as in-bed period. \", \"numeric\", \"percent (%)\", \"NaN\", \"stdeffsp_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdinbedduration5\", \"Standard deviation of daily rest period in all days from actigraphy\", \"In this study, rest period (i.e. rest internal) is defined as in-bed period (i.e. time in bed, TIB) in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"stdprdbd_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdinbeddurationnw5\", \"Standard deviation of daily rest period in non-workdays from actigraphy\", \"In this study, rest period (i.e. rest internal) is defined as in-bed period (i.e. time in bed, TIB) in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"stdprdbd_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdinbeddurationwd5\", \"Standard deviation of daily rest period in weekdays from actigraphy\", \"In this study, rest period (i.e. rest internal) is defined as in-bed period (i.e. time in bed, TIB) in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"stdprdbd_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdinbeddurationwe5\", \"Standard deviation of daily rest period in weekends from actigraphy\", \"In this study, rest period (i.e. rest internal) is defined as in-bed period (i.e. time in bed, TIB) in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"stdprdbd_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdinbeddurationwo5\", \"Standard deviation of daily rest period in workdays from actigraphy\", \"In this study, rest period (i.e. rest internal) is defined as in-bed period (i.e. time in bed, TIB) in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"stdprdbd_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdinbedtime5\", \"Standard deviation of the daily start time for rest period in all days from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed, TIB), therefore the start time of rest period is in-bed time.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdbptbd_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdinbedtimenw5\", \"Standard deviation of the daily start time for rest period in non-workdays from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed, TIB), therefore the start time of rest period is in-bed time.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdbptbd_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdinbedtimewd5\", \"Standard deviation of the daily start time for rest period in weekdays from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed, TIB), therefore the start time of rest period is in-bed time.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdbptbd_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdinbedtimewe5\", \"Standard deviation of the daily start time for rest period in weekends from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed, TIB), therefore the start time of rest period is in-bed time.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdbptbd_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdinbedtimewo5\", \"Standard deviation of the daily start time for rest period in workdays from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed, TIB), therefore the start time of rest period is in-bed time.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdbptbd_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdmainsleep5\", \"Standard deviation of daily total sleep duration in main sleep in all days from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"stddursp_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdmainsleepnw5\", \"Standard deviation of daily total sleep duration in main sleep in non-workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"stddursp_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdmainsleepwd5\", \"Standard deviation of daily total sleep duration in main sleep in weekdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"stddursp_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdmainsleepwe5\", \"Standard deviation of daily total sleep duration in main sleep in weekends from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"stddursp_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdmainsleepwo5\", \"Standard deviation of daily total sleep duration in main sleep in workdays from actigraphy\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"stddursp_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdmainteff5\", \"Standard deviation of the daily sleep maintenance efficiency in all days from actigraphy\", \"Sleep maintenance efficiency is the ratio between sleep duration (i.e. total sleep time, tst) and sleep period in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep, while sleep period is the interval between sleep onset time and sleep offset time. \", \"numeric\", \"percent (%)\", \"NaN\", \"stdmefsp_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdmainteffnw5\", \"Standard deviation of the daily sleep maintenance efficiency in non-workdays from actigraphy\", \"Sleep maintenance efficiency is the ratio between sleep duration (i.e. total sleep time, tst) and sleep period in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep, while sleep period is the interval between sleep onset time and sleep offset time. \", \"numeric\", \"percent (%)\", \"NaN\", \"stdmefsp_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdmainteffwd5\", \"Standard deviation of the daily sleep maintenance efficiency in weekdays from actigraphy\", \"Sleep maintenance efficiency is the ratio between sleep duration (i.e. total sleep time, tst) and sleep period in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep, while sleep period is the interval between sleep onset time and sleep offset time. \", \"numeric\", \"percent (%)\", \"NaN\", \"stdmefsp_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdmainteffwe5\", \"Standard deviation of the daily sleep maintenance efficiency in weekends from actigraphy\", \"Sleep maintenance efficiency is the ratio between sleep duration (i.e. total sleep time, tst) and sleep period in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep, while sleep period is the interval between sleep onset time and sleep offset time. \", \"numeric\", \"percent (%)\", \"NaN\", \"stdmefsp_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdmainteffwo5\", \"Standard deviation of the daily sleep maintenance efficiency in workdays from actigraphy\", \"Sleep maintenance efficiency is the ratio between sleep duration (i.e. total sleep time, tst) and sleep period in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep, while sleep period is the interval between sleep onset time and sleep offset time. \", \"numeric\", \"percent (%)\", \"NaN\", \"stdmefsp_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdoutbedtime5\", \"Standard deviation of the daily end time for rest period in all days from actigraphy\", \"In this study, the end time for rest period (i.e. rest interval) is defined as the out-bed time in main sleeps.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdeptbd_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdoutbedtimenw5\", \"Standard deviation of the daily end time for rest period in non-workdays from actigraphy\", \"In this study, the end time for rest period (i.e. rest interval) is defined as the out-bed time in main sleeps.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdeptbd_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdoutbedtimewd5\", \"Standard deviation of the daily end time for rest period in weekdays from actigraphy\", \"In this study, the end time for rest period (i.e. rest interval) is defined as the out-bed time in main sleeps.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdeptbd_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdoutbedtimewe5\", \"Standard deviation of the daily end time for rest period in weekends from actigraphy\", \"In this study, the end time for rest period (i.e. rest interval) is defined as the out-bed time in main sleeps.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdeptbd_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdoutbedtimewo5\", \"Standard deviation of the daily end time for rest period in workdays from actigraphy\", \"In this study, the end time for rest period (i.e. rest interval) is defined as the out-bed time in main sleeps.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdeptbd_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdrestmidpoint5\", \"Standard deviation of the daily midpoint for rest period in main sleep in all days from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed). \", \"time\", \"hh:mm:ss\", \"NaN\", \"stdmptbd_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdrestmidpointnw5\", \"Standard deviation of the daily midpoint for rest period in main sleep in non-workdays from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed). \", \"time\", \"hh:mm:ss\", \"NaN\", \"stdmptbd_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdrestmidpointwd5\", \"Standard deviation of the daily midpoint for rest period in main sleep in weekdays from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed). \", \"time\", \"hh:mm:ss\", \"NaN\", \"stdmptbd_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdrestmidpointwe5\", \"Standard deviation of the daily midpoint for rest period in main sleep in weekends from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed). \", \"time\", \"hh:mm:ss\", \"NaN\", \"stdmptbd_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdrestmidpointwo5\", \"Standard deviation of the daily midpoint for rest period in main sleep in workdays from actigraphy\", \"In this study, rest period (i.e. rest interval) is defined as in-bed period (i.e. time in bed). \", \"time\", \"hh:mm:ss\", \"NaN\", \"stdmptbd_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleepmidpoint5\", \"Standard deviation of the daily midpoint for sleep period in all days from actigraphy\", \"Sleep period is the interval between sleep onset time and sleep offset time in main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdmptsp_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleepmidpointnw5\", \"Standard deviation of the daily midpoint for sleep period in non-workdays from actigraphy\", \"Sleep period is the interval between sleep onset time and sleep offset time in main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdmptsp_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleepmidpointwd5\", \"Standard deviation of the daily midpoint for sleep period in weekdays from actigraphy\", \"Sleep period is the interval between sleep onset time and sleep offset time in main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdmptsp_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleepmidpointwe5\", \"Standard deviation of the daily midpoint for sleep period in weekends from actigraphy\", \"Sleep period is the interval between sleep onset time and sleep offset time in main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdmptsp_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleepmidpointwo5\", \"Standard deviation of the daily midpoint for sleep period in workdays from actigraphy\", \"Sleep period is the interval between sleep onset time and sleep offset time in main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdmptsp_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleepoffsettime5\", \"Standard deviation of daily sleep offset time in all days from actigraphy\", \"Sleep offset time is the end time of main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdeptsp_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleepoffsettimenw5\", \"Standard deviation of daily sleep offset time in non-workdays from actigraphy\", \"Sleep offset time is the end time of main sleep.\", \"time\", \"NaN\", \"NaN\", \"stdeptsp_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleepoffsettimewd5\", \"Standard deviation of daily sleep offset time in weekdays from actigraphy\", \"Sleep offset time is the end time of main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdeptsp_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleepoffsettimewe5\", \"Standard deviation of daily sleep offset time in weekends from actigraphy\", \"Sleep offset time is the end time of main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdeptsp_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleepoffsettimewo5\", \"Standard deviation of daily sleep offset time in workdays from actigraphy\", \"Sleep offset time is the end time of main sleep.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdeptsp_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleeponsettime5\", \"Standard deviation of the daily sleep onset time in all days from actigraphy\", \"Sleep onset time is the start time of main sleep. This variable measures the within subject variability of sleep onset time.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdbptsp_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleeponsettimenw5\", \"Standard deviation of the daily sleep onset time in non-workdays from actigraphy\", \"Sleep onset time is the start time of main sleep. This variable measures the within subject variability of sleep onset time.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdbptsp_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleeponsettimewd5\", \"Standard deviation of the daily sleep onset time in weekdays from actigraphy\", \"Sleep onset time is the start time of main sleep. This variable measures the within subject variability of sleep onset time.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdbptsp_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleeponsettimewe5\", \"Standard deviation of the daily sleep onset time in weekends from actigraphy\", \"Sleep onset time is the start time of main sleep. This variable measures the within subject variability of sleep onset time.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdbptsp_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleeponsettimewo5\", \"Standard deviation of the daily sleep onset time in workdays from actigraphy\", \"Sleep onset time is the start time of main sleep. This variable measures the within subject variability of sleep onset time.\", \"time\", \"hh:mm:ss\", \"NaN\", \"stdbptsp_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleepperiodduration5\", \"Standard deviation of daily sleep period in all days from actigraphy\", \"Sleep period (i.e. total sleep time, TST) is the interval between sleep onset time and sleep offset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"stdprdsp_im_w7_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleepperioddurationnw5\", \"Standard deviation of daily sleep period in non-workdays from actigraphy\", \"Sleep period (i.e. total sleep time, TST) is the interval between sleep onset time and sleep offset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"stdprdsp_im_wn_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleepperioddurationwd5\", \"Standard deviation of daily sleep period in weekdays from actigraphy\", \"Sleep period (i.e. total sleep time, TST) is the interval between sleep onset time and sleep offset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"stdprdsp_im_w5_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleepperioddurationwe5\", \"Standard deviation of daily sleep period in weekends from actigraphy\", \"Sleep period (i.e. total sleep time, TST) is the interval between sleep onset time and sleep offset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"stdprdsp_im_w2_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sdsleepperioddurationwo5\", \"Standard deviation of daily sleep period in workdays from actigraphy\", \"Sleep period (i.e. total sleep time, TST) is the interval between sleep onset time and sleep offset time in main sleep.\", \"numeric\", \"minutes (min)\", \"NaN\", \"stdprdsp_im_ww_f2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"sleepjournal5\", \"Actigraphy QS: Sleep Journal Received\", \"NaN\", \"choices\", \"NaN\", \"noyesinc\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"stdyady5c\", \"Actigraphy QS: Days From Exam 5 To Study Date\", \"NaN\", \"numeric\", \"days\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"timeend5\", \"Actigraphy QS: Data Collection End Time\", \"NaN\", \"time\", \"hh:mm:ss\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Actigraphy\", \"timestart5\", \"Actigraphy QS: Data Collection Start Time\", \"NaN\", \"time\", \"hh:mm:ss\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Administrative\", \"haveact5\", \"MESA Sleep: Has Actigraphy Data (5+ Valid Nights) from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Administrative\", \"havepsg5\", \"MESA Sleep: Has PSG Data (Passed Overnight Study) from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Administrative\", \"match5\", \"MESA Sleep: PSG/Actigraphy Start Dates Match (I.E. No Failures; Tests Were Concurrent) from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Administrative\", \"scorerid5\", \"PSG Report: Scorer ID from type II polysomnography\", \"NaN\", \"string\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Administrative\", \"stdypdy5c\", \"PSG QS: Days From Exam 5 To Study Date from type II polysomnography\", \"NaN\", \"numeric\", \"days\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi4p_nrem5\", \"Apnea-Hypopnea Index (NREM): (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of NREM sleep from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"ahi_sn_ap0uhp3x4u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi4p_nsup5\", \"Apnea-Hypopnea Index (Non-Supine): (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of sleep in non-supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"ahi_po_ap0uhp3x4u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi4p_rem5\", \"Apnea-Hypopnea Index (REM): (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of REM sleep from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"ahi_sr_ap0uhp3x4u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi4p_sup5\", \"Apnea-Hypopnea Index (Supine): (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of sleep in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"ahi_pb_ap0uhp3x4u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi4pa_nrem5\", \"Apnea-Hypopnea Index (NREM): (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of NREM sleep from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"ahi_sn_ap0uhp3x4r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi4pa_nsup5\", \"Apnea-Hypopnea Index (Non-Supine): (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of sleep in non-supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"ahi_po_ap0uhp3x4r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi4pa_rem5\", \"Apnea-Hypopnea Index (REM): (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of REM sleep from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"ahi_sr_ap0uhp3x4r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi4pa_sup5\", \"Apnea-Hypopnea Index (Supine): (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of sleep in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"ahi_pb_ap0uhp3x4r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi_a0h3\", \"Apnea-Hypopnea Index: (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation and with or without arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events.\", \"numeric\", \"number of events per hour\", \"NaN\", \"icsd;ahi_ap0uhp3x3u_f1t2\", \"60 * (hrembp3 + hrop3 + hnrbp3 + hnrop3 + urbp3 + urop3 + unrbp3 + unrop3 + carbp + carop + canbp + canop + oarbp + oarop + oanbp + oanop ) / slpprdp\", \"True\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi_a0h3a\", \"Apnea-Hypopnea Index: (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events. The definition for hypopneas is consistent with the following clinical guidelines: (1) American Academy of Sleep Medicine (AASM) 2007 Manual (2012 update) (recommended). [Berry RB et al. 2012 (PubMed ID:23066376)] (https://www.ncbi.nlm.nih.gov/pubmed/23066376), and (2) American Academy of Sleep Medicine (AASM) 2015 (recommended) [Berry RB et al. The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications, Version 2.2. American Academy of Sleep Medicine, Darien, IL, 2015.] <br><br> [Search for all AHI variables consistent with the same clinical guidelines within this dataset]( https://sleepdata.org/datasets/mesa/variables?search=aasm15_recommended)\", \"numeric\", \"number of events per hour\", \"NaN\", \"icsd;a0h3ai5;ahi_ap0uhp3x3r_f1t2;aasm15_recommended\", \"60 * (hremba3 + hroa3 + hnrba3 + hnroa3 + urbpa3 + uropa3 + unrbpa3 + unropa3 + carbp + carop + canbp + canop + oarbp + oarop + oanbp + oanop ) / slpprdp\", \"True\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi_a0h4\", \"Apnea-Hypopnea Index: (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events. The definition of hypopnea events is consistent with the following clinical guidelines: (1) AASM 2012 update (alternative) [Berry RB et al. 2012 (PubMed ID:23066376)] (https://www.ncbi.nlm.nih.gov/pubmed/23066376), and (2) AASM 2015 (acceptable) [Berry RB et al. The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications, Version 2.2. American Academy of Sleep Medicine, Darien, IL, 2015.]. <br><br>[Search for all AHI variables consistent with the same clinical guidelines within this dataset](https://sleepdata.org/datasets/mesa/variables?search=aasm15_acceptable)\", \"numeric\", \"number of events per hour\", \"NaN\", \"icsd;ahi4p5;ahi_ap0uhp3x4u_f1t2;aasm15_acceptable\", \"60 * (hrembp4 + hrop4 + hnrbp4 + hnrop4 + urbp4 + urop4 + unrbp4 + unrop4 + carbp + carop + canbp + canop + oarbp + oarop + oanbp + oanop ) / slpprdp\", \"True\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi_a0h4a\", \"Apnea-Hypopnea Index: (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of sleep from type II polysomnography\", \"Calculated\", \"numeric\", \"number of events per hour\", \"NaN\", \"icsd;ahi4pa5;ahi_ap0uhp3x4r_f1t2\", \"60 * (hremba4 + hroa4 + hnrba4 + hnroa4 + urbpa4 + uropa4 + unrbpa4 + unropa4 + carbp + carop + canbp + canop + oarbp + oarop + oanbp + oanop ) / slpprdp\", \"True\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi_c0h3\", \"Central Apnea-Hypopnea Index: (Central apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation and with or without arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events.\", \"numeric\", \"number of events per hour\", \"NaN\", \"icsd;cahi_ca0uhp3x3u_f1t2\", \"60 * (hrembp3 + hrop3 + hnrbp3 + hnrop3 + urbp3 + urop3 + unrbp3 + unrop3 + carbp + carop + canbp + canop) / slpprdp\", \"True\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi_c0h3a\", \"Central Apnea-Hypopnea Index: (Central apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events.\", \"numeric\", \"number of events per hour\", \"NaN\", \"icsd;cahi_ca0uhp3x3r_f1t2\", \"60 * (hremba3 + hroa3 + hnrba3 + hnroa3 + urbpa3 + uropa3 + unrbpa3 + unropa3 + carbp + carop + canbp + canop) / slpprdp\", \"True\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi_c0h4\", \"Central Apnea-Hypopnea Index: (Central apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events.\", \"numeric\", \"number of events per hour\", \"NaN\", \"icsd;cahi_ca0uhp3x4u_f1t2\", \"60 * (hrembp4 + hrop4 + hnrbp4 + hnrop4 + urbp4 + urop4 + unrbp4 + unrop4 + carbp + carop + canbp + canop ) / slpprdp\", \"True\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi_c0h4a\", \"Central Apnea-Hypopnea Index: (Central apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events.\", \"numeric\", \"number of events per hour\", \"NaN\", \"icsd;cahi_ca0uhp3x4r_f1t2\", \"60 * (hremba4 + hroa4 + hnrba4 + hnroa4 + urbpa4 + uropa4 + unrbpa4 + unropa4 + carbp + carop + canbp + canop ) / slpprdp\", \"True\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi_o0h3\", \"Obstructive Apnea-Hypopnea Index: (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation and with or without arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events.\", \"numeric\", \"number of events per hour\", \"NaN\", \"icsd;oahi_oa0uhp3x3u_f1t2\", \"60 * (hrembp3 + hrop3 + hnrbp3 + hnrop3 + urbp3 + urop3 + unrbp3 + unrop3 + oarbp + oarop + oanbp + oanop ) / slpprdp\", \"True\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi_o0h3a\", \"Obstructive Apnea-Hypopnea Index: (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events.\", \"numeric\", \"number of events per hour\", \"NaN\", \"icsd;oahi_oa0uhp3x3r_f1t2\", \"60 * (hremba3 + hroa3 + hnrba3 + hnroa3 + urbpa3 + uropa3 + unrbpa3 + unropa3 + oarbp + oarop + oanbp + oanop ) / slpprdp\", \"True\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi_o0h4\", \"Obstructive Apnea-Hypopnea Index: (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events.\", \"numeric\", \"number of events per hour\", \"NaN\", \"icsd;oahi_oa0uhp3x4u_f1t2\", \"60 * (hrembp3 + hrop3 + hnrbp3 + hnrop3 + urbp4 + urop4 + unrbp4 + unrop4 + oarbp + oarop + oanbp + oanop ) / slpprdp\", \"True\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahi_o0h4a\", \"Obstructive Apnea-Hypopnea Index: (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events.\", \"numeric\", \"number of events per hour\", \"NaN\", \"icsd;oahi_oa0uhp3x4r_f1t2\", \"60 * (hremba4 + hroa4 + hnrba4 + hnroa4 + urbpa4 + uropa4 + unrbpa4 + unropa4 + oarbp + oarop + oanbp + oanop ) / slpprdp\", \"True\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"ahiu35\", \"Apnea-Hypopnea Index: (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation and with or without arousal) / hour of sleep from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"ahi_ap0uhp3x3u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cai0p5\", \"Central Apnea Index: (Central apneas with no oxygen desaturation threshold used and with or without arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_ca0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cai0p_nrem5\", \"Central Apnea Index (NREM): (Central apneas with no oxygen desaturation threshold used and with or without arousal) / hour of NREM sleep from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_sn_ca0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cai0p_nsup5\", \"Central Apnea Index (Non-Supine): (Central apeneas with no oxygen desaturation threshold used and with or without arousal) / hour of sleep in non-supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_po_ca0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cai0p_rem5\", \"Central Apnea Index (REM): (Central apneas with no oxygen desaturation threshold used and with or without arousal) / hour of REM sleep from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_sr_ca0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cai0p_sup5\", \"Central Apnea Index (Supine): (Central apeneas with no oxygen desaturation threshold used and with or without arousal) / hour of sleep in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_pb_ca0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cai4p5\", \"Central Apnea Index: (Central apneas with >= 4% oxygen desaturation threshold used and with or without arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_ca4u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cai4pa5\", \"Central Apnea Index: (Central apneas with >= 4% oxygen desaturation threshold used or with arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_ca4r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cardnba35\", \"Central Apnea Index (NREM, Supine): (Central apneas with >= 3% oxygen desaturation or with arousal) / hour of NREM sleep in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_snpb_ca3r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cardnba5\", \"Central Apnea Index (NREM, Supine): (Central apneas with no oxygen desaturation threshold used only with arousal) / hour of NREM sleep in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_snpb_ca0o_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cardnbp5\", \"Central Apnea Index (NREM, Supine): (Central apneas with no oxygen desaturation threshold used and with or without arousal) / hour of NREM sleep in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_snpb_ca0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cardnoa35\", \"Central Apnea Index (NREM, Non-Supine): (Central apneas with >= 3% oxygen desaturation or with arousal) / hour of NREM sleep in non-supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_snpo_ca3r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cardnoa5\", \"Central Apnea Index (NREM, Non-Supine): (Central apneas with no oxygen desaturation threshold used only with arousal) / hour of NREM sleep in non-supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_snpo_ca0o_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cardnop5\", \"Central Apnea Index (NREM, Non-Supine): (Central apneas with no oxygen desaturation threshold used and with or without arousal) / hour of NREM sleep in non-supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_snpo_ca0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cardrba35\", \"Central Apnea Index (REM, Supine): (Central apneas with >= 3% oxygen desaturation threshold or with arousal) / hour of REM sleep in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_srpb_ca3r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cardrba5\", \"Central Apnea Index (REM, Supine): (Central apneas with no oxygen desaturation threshold used only with arousal) / hour of REM sleep in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_srpb_ca0o_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cardrbp5\", \"Central Apnea Index (REM, Supine): (Central apneas with no oxygen desaturation threshold used and with or without arousal) / hour of REM sleep in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_srpb_ca0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cardroa35\", \"Central Apnea Index (REM, Non-Supine): (Central apneas with >= 3% oxygen desaturation or with arousal) / hour of REM sleep in non-supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_srpo_ca3r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cardroa5\", \"Central Apnea Index (REM, Non-Supine): (Central apneas with no oxygen desaturation threshold used only with arousal) / hour of REM sleep in non-supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_srpo_ca0r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"cardrop5\", \"Central Apnea Index (REM, Non-Supine): (Central apneas with no oxygen desaturation threshold used and with or without arousal) / hour of REM sleep in non-supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"cai_srpo_ca0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"hunrbp5\", \"Hypopnea Index (NREM, Supine): (Hypopneas with > 50% flow reduction and no oxygen desaturation threshold used and with or without arousal) / hour of NREM sleep in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"hi_snpb_hp5x0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"hunrbpa35\", \"Hypopnea Index (NREM, Supine): (Hypopneas with > 50% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of NREM sleep in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"hi_snpb_hp5x3r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"hunrbpa5\", \"Hypopnea Index (NREM, Supine): (Hypopneas with > 50% flow reduction and no oxygen desaturation threshold used or with arousal) / hour of NREM sleep in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"hi_snpb_hp5x0r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"hunrop5\", \"Hypopnea Index (NREM, Non-Supine): (Hypopneas with > 50% flow reduction and no oxygen desaturation threshold used and with or without arousal) / hour of NREM sleep in non-supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"hi_snpo_hp5x0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"hunropa35\", \"Hypopnea Index (NREM, Non-Supine): (Hypopneas with > 50% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of NREM sleep in non-supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"hi_snpo_hp5x3r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"hunropa5\", \"Hypopnea Index (NREM, Non-Supine): (Hypopneas with > 50% flow reduction and no oxygen desaturation threshold used or with arousal) / hour of NREM sleep in non-supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"hi_snpo_hp5x0r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"hurbp25\", \"Hypopnea Index (REM, Supine): (Hypopneas with > 50% flow reduction and >= 2% oxygen desaturation and with or without arousal) / hour of REM sleep in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"hi_srpb_hp5x2u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"hurbp5\", \"Hypopnea Index (REM, Supine): (Hypopneas with > 50% flow reduction and no oxygen desaturation threshold used and with or without arousal) / hour of REM sleep in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"hi_srpb_hp5x0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"hurbpa35\", \"Hypopnea Index (REM, Supine): (Hypopneas with > 50% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of REM sleep in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"hi_srpb_hp5x3r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"hurbpa5\", \"Hypopnea Index (REM, Supine): (Hypopneas with > 50% flow reduction and no oxygen desaturation threshold used or with arousal) / hour of REM sleep in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"hi_srpb_hp5x0r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"hurop5\", \"Hypopnea Index (REM, Non-Supine): (Hypopneas with > 50% flow reduction and no oxygen desaturation threshold used and with or without arousal) / hour of REM sleep in non-supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"hi_srpo_hp5x0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"huropa35\", \"Hypopnea Index (REM, Non-Supine): (Hypopneas with > 50% flow reduction and >= 3%oxygen desaturation or with arousal) / hour of REM sleep in non-supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"hi_srpo_hp5x3r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"huropa5\", \"Hypopnea Index (REM, Non-Supine): (Hypopneas with > 50% flow reduction and no oxygen desaturation threshold used or with arousal) / hour of REM sleep in non-supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"hi_srpo_hp5x0r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi35\", \"Obstructive Apnea Hypopnea Index: (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and no oxygen desaturation threshold used and with or without arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_oa0uhp3x3u_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi3_nrem5\", \"Obstructive Apnea Hypopnea Index (NREM): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation and with or without arousal) / hour of NREM sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_sn_oa0uhp3x3u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi3_nsup5\", \"Obstructive Apnea Hypopnea Index (Non-Supine): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation and with or without arousal) / hour of sleep in non-supine position from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_po_oa0uhp3x3u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi3_rem5\", \"Obstructive Apnea Hypopnea Index (REM): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation and with or without arousal) / hour of REM sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_sr_oa0uhp3x3u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi3_sup5\", \"Obstructive Apnea Hypopnea Index (Supine): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation and with or without arousal) / hour of sleep in supine position from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_pb_oa0uhp3x3u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi3pa5\", \"Obstructive Apnea Hypopnea Index: (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_oa0uhp3x3r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi3pa_nrem5\", \"Obstructive Apnea Hypopnea Index (NREM): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of NREM sleep from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_sn_oa0uhp3x3r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi3pa_nsup5\", \"Obstructive Apnea Hypopnea Index (Non-Supine): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of sleep in non-supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_po_oa0uhp3x3r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi3pa_rem5\", \"Obstructive Apnea Hypopnea Index (REM): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of REM sleep from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_sr_oa0uhp3x3r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi3pa_sup5\", \"Obstructive Apnea Hypopnea Index (Supine): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of sleep in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_pb_oa0uhp3x3r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi45\", \"Obstructive Apnea Hypopnea Index: (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_oa0uhp3x4u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi4_nrem5\", \"Obstructive Apnea Hypopnea Index (NREM): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of NREM sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_sn_oa0uhp3x4u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi4_nsup5\", \"Obstructive Apnea Hypopnea Index (Non-Supine): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of sleep in non-supine position from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_po_oa0uhp3x4u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi4_rem5\", \"Obstructive Apnea Hypopnea Index (REM): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of REM sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_sr_oa0uhp3x4u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi4_sup5\", \"Obstructive Apnea Hypopnea Index (Supine): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of sleep in supine position from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_pb_oa0uhp3x4u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi4pa5\", \"Obstructive Apnea Hypopnea Index: (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_oa0uhp3x4r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi4pa_nrem5\", \"Obstructive Apnea Hypopnea Index (NREM): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of NREM sleep from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_sn_oa0uhp3x4r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi4pa_nsup5\", \"Obstructive Apnea Hypopnea Index (Non-Supine): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of sleep in non-supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_po_oa0uhp3x4r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi4pa_rem5\", \"Obstructive Apnea Hypopnea Index (REM): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of REM sleep from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_sr_oa0uhp3x4r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oahi4pa_sup5\", \"Obstructive Apnea Hypopnea Index (Supine): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of sleep in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"oahi_pb_oa0uhp3x4r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Apnea-Hypopnea Indices\", \"oai0p5\", \"Obstructive Apnea Index: (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal) / hour of sleep from type II polysomnography\", \"Calculated - Summary metric of sleep disordered breathing events\", \"numeric\", \"number of events per hour\", \"NaN\", \"oai_oa0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep 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with > 30% flow reduction and no oxygen desaturation threshold used and with or without arousal from type II polysomnography\", \"NaN\", \"numeric\", \"seconds (s)\", \"NaN\", \"avgdurhp_hp3x0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Respiratory Event Lengths\", \"longap5\", \"Maximum length of apneas with no oxygen desaturation threshold used an with or without arousal from type II polysomnography\", \"NaN\", \"numeric\", \"seconds (s)\", \"NaN\", \"maxdurap_ap0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Respiratory Event Lengths\", \"longhyp5\", \"Maximum length of hypopneas with 30 - 50% flow reduction and no oxygen desaturation threshold used and with or without arousal from type II polysomnography\", \"NaN\", \"numeric\", \"seconds (s)\", \"NaN\", \"maxdurhp_hp3x5x0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Respiratory Event Lengths\", \"longhypb5\", \"Maximun length of hypopneas with > 30% flow reduction and no oxygen desaturation threshold used and with or without arousal from type II polysomnography\", \"NaN\", \"numeric\", \"seconds (s)\", \"NaN\", \"maxdurhp_hp3x0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Respiratory Event Lengths\", \"oavgdur5\", \"Average length of obstructive apneas with no oxygen desaturation threshold and with or without arousal from type II polysomnography\", \"NaN\", \"numeric\", \"seconds (s)\", \"NaN\", \"avgduroa_oa0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Respiratory Event Lengths\", \"pcohb3slp5\", \"Percentage of total sleep duration: (apneas with no oxygen desaturation threshold used and with or without arousal + hypopneas with > 30% flow reduction and > 3% oxygen desaturation and with or without arousal) from type II polysomnography\", \"NaN\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_ap0uhp3x3u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Respiratory Event Lengths\", \"pcohb3waslp5\", \"Percentage of total sleep duration: (apneas with no oxygen desaturation threshold used and with or without arousal + hypopneas with > 30% flow reduction and > 3% oxygen desaturation or with arousal) from type II polysomnography\", \"NaN\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_ap0uhp3x3r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Respiratory Event Lengths\", \"pcohbwaslp5\", \"Percentage of total sleep duration: (apneas with no oxygen desaturation threshold used and with or without arousal + hypopneas with > 30% flow reduction and with no oxygen desaturation threhold or with arousal) from type II polysomnography\", \"NaN\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_ap0uhp3x0r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Respiratory Event Lengths\", \"pcoslp5\", \"Percentage of total sleep duration with apneas with no oxygen desaturation threshold used and with or without arousal from type II polysomnography\", \"NaN\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_ap0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Respiratory Event Lengths\", \"pcstah3d5\", \"Percentage of total sleep duration: (apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with 30 - 50% flow reduction and >= 3% oxygen desaturation and with or without arousal) from type II polysomnography\", \"NaN\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_ap0uhp3x5x3u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Respiratory Event Lengths\", \"pcstahar5\", \"Percent total sleep duration with apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with 30 - 50% flow reduction and no oxygen desaturation threshold used or with arousal from type II polysomnography\", \"NaN\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_ap0uhp3x5x0r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Respiratory Event Lengths\", \"pcstahda5\", \"Percentage of total sleep duration: (apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with 30 - 50% flow reduction and >= 3% oxygen desaturation or with arousal) from type II polysomnography\", \"NaN\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_ap0uhp3x5x3r_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Respiratory Event Lengths\", \"pctsthyp5\", \"Percentage of total sleep duration with hypopneas with 30 - 50% flow reduction and no oxygen desaturation threshold used and with or without arousal from type II polysomnography\", \"NaN\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_hp3x5x0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Respiratory Event Lengths\", \"phbslp5\", \"Percentage of total sleep duration with hypopneas with > 30% flow reduction and with no oxygen desaturation threhold or with arousal from type II polysomnography\", \"NaN\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_hp3x0u_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"abdodur5\", \"Abdo Signal Duration (Hours) from type II polysomnography\", \"NaN\", \"numeric\", \"hours (hr)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"abnoreeg5\", \"Abnormal Awake EEG from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"ahiov505\", \"Abnormal Referral - AHI> 50 from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"airdur5\", \"Airflow Signal Duration (Hours) from type II polysomnography\", \"NaN\", \"numeric\", \"hours (hr)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"alpdel5\", \"Physiologic Alpha Intrusion from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"apnhyppr5\", \"Scoring Apnea/Hypopnea Unreliable from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"arsl3ou5\", \"Arousal Index < 3 Verified from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"arunrel5\", \"Scoring Arousals Unreliable from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"c4dur5\", \"Cz-Oz Signal Duration (Hours) EEG from type II polysomnography\", \"NaN\", \"numeric\", \"hours (hr)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"casndur5\", \"Cannula Snore Signal Duration (Hours) from type II polysomnography\", \"NaN\", \"numeric\", \"number of events per hour\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"chestdur5\", \"Chest Signal Duration (Hours) from type II polysomnography\", \"NaN\", \"numeric\", \"hours (hr)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"chindur5\", \"Chin (Lchin-Cchin) Signal Duration (Hours) from type II polysomnography\", \"NaN\", \"numeric\", \"hours (hr)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"e1dur5\", \"E1 (Eogl) Signal Duration (Hours) from type II polysomnography\", \"NaN\", \"numeric\", \"hours (hr)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"e2dur5\", \"E2 (Eogr) Signal Duration (Hours) from type II polysomnography\", \"NaN\", \"numeric\", \"hours (hr)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"ecgdur5\", \"ECG Signal Duration (Hours) from type II polysomnography\", \"NaN\", \"numeric\", \"hours (hr)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"fpz5\", \"Signal Quality Issues Found On Fpz Signal from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"fzm1dur5\", \"Fz-Cz Signal Duration (Hours) EEG from type II polysomnography\", \"NaN\", \"numeric\", \"hours (hr)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"inhomepsgyn5\", \"PSG: Test Was Conducted In-Home 1=Yes from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"lagbreath5\", \"Periodic Large Breaths from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"lighoff5\", \"PSG QS: Participant Reported Time To Bed from type II polysomnography\", \"NaN\", \"time\", \"hh:mm:ss\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"limbdur5\", \"Limb Signal Duration (Hours) from type II polysomnography\", \"NaN\", \"numeric\", \"hours (hr)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"losbeg5\", \"Data Lost At Beginning Of Study from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"losend5\", \"Data Lost At End Of Study from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"losoth5\", \"Data Lost During Study from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"m15\", \"Signal Quality Issues Found On M1 Signal from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"maxresou5\", \"Long Respiratory Events Verified from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"npflow5\", \"Flow Limitation from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"o2m1dur5\", \"C4-M1 Signal Duration (Hours) EEG from type II polysomnography\", \"NaN\", \"numeric\", \"hours (hr)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"overall5\", \"Overall Study Quality Grade from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"overallstudyqualitygrade\", \"NaN\", \"NaN\", \"True\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"oximdur5\", \"Spo2 Signal Duration (Hours) from type II polysomnography\", \"NaN\", \"numeric\", \"hours (hr)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"period5\", \"Periodic Breathing >=10 Min from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"plethdur5\", \"Pleth Signal Duration (Hours) from type II polysomnography\", \"NaN\", \"numeric\", \"hours (hr)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"plmou5\", \"PLM > 100 Verified from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"plmwake5\", \"Leg Movements In Wake from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"posn5\", \"Signal Quality Issues Found On Position Signal from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"quabdo5\", \"Abdo Signal Quality from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"psgsignalquality\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"quair5\", \"Airflow Signal Quality from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"psgsignalquality\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"quc45\", \"Cz-Oz Signal Quality-EEG Mismatched Variable Name And Label. Confirmed As \\\"Cz-Oz\\\" Signal from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"psgsignalquality\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"qucasn5\", \"Cannula Snore Signal Quality from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"psgsignalquality\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"quchest5\", \"Chest Signal Quality from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"psgsignalquality\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"quchin5\", \"Chin Signal Quality from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"psgsignalquality\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"que15\", \"E1 Signal Quality from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"psgsignalquality\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"que25\", \"E2 Signal Quality from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"psgsignalquality\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"quecg5\", \"ECG Signal Quality from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"psgsignalquality\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"qufzm15\", \"Fz-Cz Signal Quality - EEG - Mismatched Variable Name And Label. Confirmed As \\\"Fz-Cz\\\" Signal from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"psgsignalquality\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"qulimb5\", \"Limb Signal Quality from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"psgsignalquality\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"quo2m15\", \"C4-M1 Signal Quality-EEG Mismatched Variable Name And Label. Confirmed As \\\"C4-M1\\\" Signal from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"psgsignalquality\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"quoxim5\", \"Spo2 Signal Quality from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"psgsignalquality\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"qupleth5\", \"Pleth Signal Quality from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"psgsignalquality\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"quxflow5\", \"Cannula Flow Signal Quality from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"psgsignalquality\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"recbeaw5\", \"Data Lost - Recording Ended Before Wake from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"ref5\", \"Signal Quality Issues Found On Reference / Ground Signal from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"remarunrel5\", \"Scoring Arousals In REM (Only) Unreliable from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"remnrempr5\", \"Scoring REM/NREM Unreliable from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"respevpr5\", \"Scoring Respiratory Events (RDI) Unreliable from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"rsnco5\", \"Reason For Study Failure from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"psgreasonfail\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"sao2lt855\", \"Urgent Referral - O2sat < 85% For >10% Total Sleep Time from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"scorid5\", \"PSG QS: Scorer ID from type II polysomnography\", \"NaN\", \"string\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"slewake5\", \"Study Scored Sleep / Wake Only (All Sleep Scored As N2 And No Arousals Scored Due To Poor Quality EEG) from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"True\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"status_psg5\", \"Pass/Fail Status from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"psgpassfail\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"stg1stg2pr5\", \"Scoring Stage1/Stage2 Unreliable from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"stg2stg3pr5\", \"Scoring Stage2/Deep Sleep Unreliable from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"svpulse5\", \"Manual Pulse At Time Of Hookup From Sv Form from type II polysomnography\", \"NaN\", \"integer\", \"beats per minute (bpm)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"svspo25\", \"Spo2 From Signal Verification Form - Reading At Time Of Hookup from type II polysomnography\", \"NaN\", \"integer\", \"percent (%)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"unuhrou4a5\", \"Urgent Referral - Unusual HR: 2nd Or 3rd Degree Block from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"checkednotchecked\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"unuhrou4b5\", \"Urgent Referral - Unusual HR: Acute St Segment from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"checkednotchecked\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"unuhrou4c5\", \"Urgent Referral - Unusual HR: Nsvt 3-Beat Run from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"checkednotchecked\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"unuhrou4d5\", \"Urgent Referral - Unusual HR: HR Above 150 BPM For >= 2 Min from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"checkednotchecked\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"unuhrou4e5\", \"Urgent Referral - Unusual HR: HR < 30 BPM For >= 2 Min from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"checkednotchecked\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"unuhrou4f5\", \"Urgent Referral - Unusual HR: Other from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"checkednotchecked\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"unuhrou5\", \"Urgent Referral - Unusual HR/ECG (Categorical) from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"urgentunusualhr\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"unustgou5\", \"Unusual Staging from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"wakslepr5\", \"Scoring Stage Wake/Sleep Unreliable from type II polysomnography\", \"NaN\", \"choices\", \"NaN\", \"noyes\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Signal Quality\", \"xflowdur5\", \"Cannula Flow Signal Duration (Hours) from type II polysomnography\", \"NaN\", \"numeric\", \"hours (hr)\", \"NaN\", \"NaN\", \"NaN\", \"NaN\", \"mesa_qs_annotated\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"nsupinep5\", \"Percentage of total sleep duration in non-supine position from type II polysomnography\", \"Sleep duration is the interval between sleep onset time and lights on/out-bed time while asleep, conventionally called total sleep time.\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_po_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"rem_lat15\", \"REM Latency I: the interval between sleep onset and first REM (including wake) from type II polysomnography\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"ttlprdsp_s1sr_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"remlaiip5\", \"REM Latency II: the interval between sleep onset and first REM while asleep (excluding wake) from type II polysomnography\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"ttldursp_s1sr_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"slp_eff5\", \"Sleep Efficiency: the proportion of total sleep duration in in-bed period from type II polysomnography\", \"Sleep duration is the interval between sleep onset time and lights on/out-bed time while asleep, while in-bed period is the interval between lights off/in-bed time and lights on/out-bed time. Conventionally, this variable could be described as the ratio between total sleep time (TST) and time in bed (TIB).\", \"numeric\", \"percent (%)\", \"NaN\", \"ttleffsp_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"slp_lat5\", \"Sleep Latency: the interval between lights-out/in-bed time and sleep onset time from type II polysomnography\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"ttllatsp_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"slp_maint_eff5\", \"Sleep Maintenance Efficiency: the proportion of sleep duration in sleep period from type II polysomnography\", \"Sleep duration (i.e. total sleep time, TST) is the interval between sleep onset and sleep offset time while asleep. Sleep period is just the interval between sleep onset and sleep offset time. \", \"numeric\", \"percent (%)\", \"NaN\", \"ttlmefsp_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"slpprdp5\", \"Total Sleep Duration: the interval between sleep onset and sleep offset while the participant is asleep from type II polysomnography\", \"Conventionally this variable would be called total sleep time (TST)(i.e. total time spent in stage 1 or greater).\", \"numeric\", \"minutes (min)\", \"NaN\", \"ttldursp_f1t2;tst\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"stdurm5\", \"Total Recording Period: the interval between recording start and end time from type II polysomnography\", \"Conventionally this variable would be called total recording time.\", \"numeric\", \"minutes (min)\", \"NaN\", \"ttlprdrd_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"stendp5\", \"Clock time when the recording (study) ends from type II polysomnography\", \"NaN\", \"time\", \"hh:mm:ss\", \"NaN\", \"endtimrd_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"stlonp5\", \"Clock time when the participant is out of bed or lights are on from type II polysomnography\", \"Conventionally, this variable would be called the end of time in bed (TIB).\", \"time\", \"hh:mm:ss\", \"NaN\", \"endtimbd_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"stloutp5\", \"Clock time when the participant is in bed or lights are out from type II polysomnography\", \"Conventionally, this variable would be called the start of time in bed (TIB).\", \"time\", \"hh:mm:ss\", \"NaN\", \"begtimbd_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"stonsetp5\", \"Sleep onset time from type II polysomnography\", \"Conventionally this variable would be called the start of total sleep time (TST)(i.e. total time spent in stage 1 or greater).\", \"time\", \"hh:mm:ss\", \"NaN\", \"stonset15;begtimsp_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"ststartp5\", \"Clock time when the recording (study) begins from type II polysomnography\", \"NaN\", \"time\", \"hh:mm:ss\", \"NaN\", \"begtimrd_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"supinep5\", \"Percentage of total sleep duration in supine position from type II polysomnography\", \"NaN\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_pb_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"time_bed5\", \"Total In-bed Period: the interval between lights out/in-bed time and lights off/out-bed time from type II polysomnography\", \"Conventionally this variable would be called time in bed (TIB).\", \"numeric\", \"minutes (min)\", \"NaN\", \"timebedm5;ttlprdbd_f1t2;tib\", \"NaN\", \"True\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"timerem5\", \"Total duration of REM sleep from type II polysomnography\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"ttldursp_sr_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"timeremp5\", \"Percentage of total sleep duration in REM from type II polysomnography\", \"NaN\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_sr_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"times34p5\", \"Percentage of total sleep duration in Stage 3 and 4 from type II polysomnography\", \"NaN\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_s3_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"timest15\", \"Total duration of Stage 1 sleep from type II polysomnography\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"ttldursp_s1_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"timest1p5\", \"Percentage of total sleep duration in Stage 1 from type II polysomnography\", \"NaN\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_s1_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"timest25\", \"Total duration of Stage 2 sleep from type II polysomnography\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"ttldursp_s2_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"timest2p5\", \"Percentage of total sleep duration in Stage 2 from type II polysomnography\", \"NaN\", \"numeric\", \"percent (%)\", \"NaN\", \"pctdursp_s2_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"timest345\", \"Total duration of Stage 3 and 4 sleep from type II polysomnography\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"ttldursp_s3_f1t2\", \"NaN\", \"NaN\", \"NaN\"], [\"Sleep Monitoring/Polysomnography/Sleep Architecture\", \"waso5\", \"Wake after Sleep Onset: the total duration between sleep onset and sleep offset time while being awake from type II polysomnography\", \"NaN\", \"numeric\", \"minutes (min)\", \"NaN\", \"waso;ttldurws_f1t2\", \"NaN\", \"True\", \"NaN\"], [\"Sleep Questionnaires/Chronotype\", \"feelngbstpk5\", \"Horne-Ostberg Morningness-Eveningness Questionnaire: Time of day reaching \\\"feeling best\\\" peak\", \"Item from the modified Horne-Ostberg Morningness-Eveningness Questionnaire. [Horne JA and Ostberg O, 1976 (PubMed ID: 1027738)](https://www.ncbi.nlm.nih.gov/pubmed/1027738) <br><br> Original question: *19. At what time of the day do you think that you reach your \\\"feeling best\\\" peak?* <br><br> [Search for all HOMEQ variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=homeq)\", \"choices\", \"NaN\", \"feelingpeak\", \"chronotype;homeq;homeq_19feelbest\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Chronotype\", \"feelngbstr5\", \"Horne-Ostberg Morningness-Eveningness Questionnaire: Ideal scheduled wake time\", \"Item from the modified Horne-Ostberg Morningness-Eveningness Questionnaire. [Horne JA and Ostberg O, 1976 (PubMed ID: 1027738)](https://www.ncbi.nlm.nih.gov/pubmed/1027738) <br><br> Original question: *16. Considering only your own \\\"feeling best\\\" rhythm, at what time would you get up if you were entirely free to plan your day?* <br><br> [Search for all HOMEQ variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=homeq)\", \"choices\", \"NaN\", \"feelingbest\", \"chronotype;homeq;homeq_02wake\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Chronotype\", \"hoostmeq5c\", \"Modified Horne-Ostberg Morningness-Eveningness Questionnaire (MEQ) Score\", \"Calculated Summary score based on modified Horne-Ostberg Morningness-Eveningness Questionnaire. Participants with an MEQ >= 18 were considered to have a morning preference, those with an MEQ between 11 and 18 were considered to have an intermediate preference, and participants with an MEQ <= 11 were considered to have an evening preference. [Horne JA and Ostberg O, 1976 (PubMed ID: 1027738)](https://www.ncbi.nlm.nih.gov/pubmed/1027738)<br><br> [Search for all HOMEQ variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=homeq)\", \"integer\", \"NaN\", \"NaN\", \"chronotype;homeq;homeq_score\", \"NaN\", \"True\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Chronotype\", \"mosttired4\", \"Horne-Ostberg Morningness-Eveningness Questionnaire: Time of evening you need sleep\", \"Item from the modified Horne-Ostberg Morningness-Eveningness Questionnaire. [Horne JA and Ostberg O, 1976 (PubMed ID: 1027738)](https://www.ncbi.nlm.nih.gov/pubmed/1027738) <br><br> Original question: *18. At what time in the evening do you feel most tired and, as a result, most in need of sleep?* <br><br> [Search for all HOMEQ variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=homeq)\", \"choices\", \"NaN\", \"mosttired\", \"chronotype;homeq;homeq_09needslp\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Chronotype\", \"tired5\", \"Horne-Ostberg Morningness-Eveningness Questionnaire: Tiredness during first half-hour after waking\", \"Item from the modified Horne-Ostberg Morningness-Eveningness Questionnaire. [Horne JA and Ostberg O, 1976 (PubMed ID: 1027738)](https://www.ncbi.nlm.nih.gov/pubmed/1027738) <br><br> Original question: *17. During the first half hour after having woken in the morning, how tired do you feel?* <br><br> [Search for all HOMEQ variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=homeq)\", \"choices\", \"NaN\", \"tiredafter\", \"chronotype;homeq;homeq_08tired\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Chronotype\", \"types5\", \"Horne-Ostberg Morningness-Eveningness Questionnaire: Morning or evening type\", \"Item from the modified Horne-Ostberg Morningness-Eveningness Questionnaire. [Horne JA and Ostberg O, 1976 (PubMed ID: 1027738)](https://www.ncbi.nlm.nih.gov/pubmed/1027738) <br><br> Original question: *20. One hears about \\\"morning\\\" and \\\"evening\\\" types of people. Which ONE of these types do you consider yourself to be?* <br><br> [Search for all HOMEQ variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=homeq)\", \"choices\", \"NaN\", \"persontype\", \"chronotype;homeq;homeq_04type\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Hypersomnia/Epworth Sleepiness Scale (ESS)\", \"car5\", \"Epworth Sleepiness Scale: Chance of dozing while in a car, while stopped for a few minutes in traffic\", \"Item from the Epworth Sleepiness Scale [Johns MW 1991 (PubMed ID: 1798888)](https://www.ncbi.nlm.nih.gov/pubmed/1798888) <br><br> Original question: *What is the chance that you would doze off or fall asleep (or just \\\"feel tired\\\") in each of the following situations? 12h. In a car, while stopped for a few minutes in traffic* <br><br> [Search for all ESS variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=epworth) \", \"choices\", \"NaN\", \"dozingchance\", \"subjective_sleepiness;epworth;ess_8stoppedcar\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Hypersomnia/Epworth Sleepiness Scale (ESS)\", \"lyngdwn5\", \"Epworth Sleepiness Scale: Chance of dozing while lying down in the afternoon when circumstances permit\", \"Item from the Epworth Sleepiness Scale [Johns MW 1991 (PubMed ID: 1798888)](https://www.ncbi.nlm.nih.gov/pubmed/1798888) <br><br> Original question: *What is the chance that you would doze off or fall asleep (or just \\\"feel tired\\\") in each of the following situations? 12e. Lying down to rest in the afternoon when circumstances permit* <br><br> [Search for all ESS variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=epworth)\", \"choices\", \"NaN\", \"dozingchance\", \"subjective_sleepiness;epworth;ess_5lyingdown\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Hypersomnia/Epworth Sleepiness Scale (ESS)\", \"quietly5\", \"Epworth Sleepiness Scale: Chance of dozing while sitting quietly after lunch without alcohol\", \"Item from the Epworth Sleepiness Scale [Johns MW 1991 (PubMed ID: 1798888)](https://www.ncbi.nlm.nih.gov/pubmed/1798888) <br><br> Original question: *What is the chance that you would doze off or fall asleep (or just \\\"feel tired\\\") in each of the following situations? 12g. Sitting quietly after lunch without alcohol* <br><br> [Search for all ESS variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=epworth)\", \"choices\", \"NaN\", \"dozingchance\", \"subjective_sleepiness;epworth;ess_7afterlunch\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Hypersomnia/Epworth Sleepiness Scale (ESS)\", \"readng5\", \"Epworth Sleepiness Scale: Chance of dozing while sitting and reading\", \"Item from the Epworth Sleepiness Scale [Johns MW 1991 (PubMed ID: 1798888)](https://www.ncbi.nlm.nih.gov/pubmed/1798888) <br><br> Original question: *What is the chance that you would doze off or fall asleep (or just \\\"feel tired\\\") in each of the following situations? 12a. Sitting and reading* <br><br> [Search for all ESS variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=epworth)\", \"choices\", \"NaN\", \"dozingchance\", \"subjective_sleepiness;epworth;ess_1sitread\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Hypersomnia/Epworth Sleepiness Scale (ESS)\", \"riding5\", \"Epworth Sleepiness Scale: Chance of dozing as a passenger in a car for an hour without a break\", \"Item from the Epworth Sleepiness Scale [Johns MW 1991 (PubMed ID: 1798888)](https://www.ncbi.nlm.nih.gov/pubmed/1798888) <br><br> Original question: *What is the chance that you would doze off or fall asleep (or just \\\"feel tired\\\") in each of the following situations? 12d. Riding as a passenger in a car for an hour without a break* <br><br> [Search for all ESS variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=epworth)\", \"choices\", \"NaN\", \"dozingchance\", \"subjective_sleepiness;epworth;ess_4passenger\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Hypersomnia/Epworth Sleepiness Scale (ESS)\", \"sittng5\", \"Epworth Sleepiness Scale: Chance of dozing while sitting, inactive in a public place\", \"Item from the Epworth Sleepiness Scale [Johns MW 1991 (PubMed ID: 1798888)](https://www.ncbi.nlm.nih.gov/pubmed/1798888) <br><br> Original question: *What is the chance that you would doze off or fall asleep (or just \\\"feel tired\\\") in each of the following situations? 12c. Sitting inactive in a public place (such as a theater or a meeting)* <br><br> [Search for all ESS variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=epworth)\", \"choices\", \"NaN\", \"dozingchance\", \"subjective_sleepiness;epworth;ess_3sitinactive\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Hypersomnia/Epworth Sleepiness Scale (ESS)\", \"talkng5\", \"Epworth Sleepiness Scale: Chance of dozing while sitting and talking to someone\", \"Item from the Epworth Sleepiness Scale [Johns MW 1991 (PubMed ID: 1798888)](https://www.ncbi.nlm.nih.gov/pubmed/1798888) <br><br> Original question: *What is the chance that you would doze off or fall asleep (or just \\\"feel tired\\\") in each of the following situations? 12f. Sitting and talking to someone* <br><br> [Search for all ESS variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=epworth)\", \"choices\", \"NaN\", \"dozingchance\", \"subjective_sleepiness;epworth;ess_6sittalk\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Hypersomnia/Epworth Sleepiness Scale (ESS)\", \"tv5\", \"Epworth Sleepiness Scale: Chance of dozing while watching TV\", \"Item from the Epworth Sleepiness Scale [Johns MW 1991 (PubMed ID: 1798888)](https://www.ncbi.nlm.nih.gov/pubmed/1798888) <br><br> Original question: *What is the chance that you would doze off or fall asleep (or just \\\"feel tired\\\") in each of the following situations? 12b. Watching TV* <br><br> [Search for all ESS variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=epworth)\", \"choices\", \"NaN\", \"dozingchance\", \"subjective_sleepiness;epworth;ess_2watchingtv\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Hypersomnia\", \"dinner5\", \"Chance of dozing while at dinner table\", \"Original question: *What is the chance that you would doze off or fall asleep (or just \\\"feel tired\\\") in each of the following situations? 12i. At the dinner table*\", \"choices\", \"NaN\", \"dozingchance\", \"ess_diner;subjective_sleepiness\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Hypersomnia\", \"driving5\", \"Chance of dozing while driving\", \"Original question: *What is the chance that you would doze off or fall asleep (or just \\\"feel tired\\\") in each of the following situations? 12j. While driving*\", \"choices\", \"NaN\", \"dozingchance\", \"ess_driving;subjective_sleepiness\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Hypersomnia\", \"epslpscl5c\", \"Epworth Sleepiness Scale: Total score\", \"Calculated - Total score based on an 8-item questionnaires ranking likelihood of dozing off [Johns MW 1991 (PubMed ID: 1798888)](https://www.ncbi.nlm.nih.gov/pubmed/1798888). Scale 0-3 for individual items; 0 to 24 for overall score. <br><br>[Search for all ESS variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=epworth)\", \"integer\", \"NaN\", \"NaN\", \"ess_score;subjective_sleepiness;epworth\", \"NaN\", \"True\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Hypersomnia\", \"sleepy5\", \"Frequency of excessive sleepiness during the day in the last 4 weeks\", \"Original question: *The next questions ask about your sleep habits. Please choose one of the answers for each of the following questions. Pick the answer that best describes how often you experienced the situation in the past 4 weeks. 10. Did you feel overly sleepy during the day?* \", \"choices\", \"NaN\", \"freq4weeks\", \"subjective_sleepiness;nhanes_15sleepy\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Parasomnia\", \"legsdscmfrt5\", \"Experience desire to move legs because of discomfort or disagreeable sensations in legs\", \"Original question: *15. Do you ever experience a desire to move your legs because of discomfort or disagreeable sensations in your legs?*\", \"choices\", \"NaN\", \"noyesdk\", \"rls_plms\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Parasomnia\", \"rubbnglgs5\", \"Feel need to move to relieve discomfort by walking or rub legs\", \"Original question: *15a. Do you sometimes feel the need to move to relieve the discomfort, for example by walking, or by rubbing your legs?*\", \"choices\", \"NaN\", \"noyesdk\", \"rls_plms\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Parasomnia\", \"wrseltr5\", \"Symptoms worse later in day or night\", \"Original question: *15c. Are these symptoms worse later in the day or at night?*\", \"choices\", \"NaN\", \"noyesdk\", \"rls_plms\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Parasomnia\", \"wrserest5\", \"Symptoms worse when at rest with temporary relief by activity\", \"Original question: *15b. Are these symptoms worse when you are at rest, with at least temporary relief by activity?*\", \"choices\", \"NaN\", \"noyesdk\", \"rls_plms\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Disorder\", \"insmnia5\", \"Insomnia: Self-reported diagnosis by a physician\", \"Original question: *21b. Have you been told by a doctor that you have any of the following: Insomnia?*\", \"choices\", \"NaN\", \"noyes\", \"insomnia;nhanes_08insomnia\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Disorder\", \"rstlesslgs5\", \"Restless Legs: Self-reported diagnosis by a physician\", \"Original question: *21c. Have you been told by a doctor that you have any of the following: Restless Legs?*\", \"choices\", \"NaN\", \"noyes\", \"rls_plms;nhanes_09rls\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Disorder\", \"slpapnea5\", \"Sleep Apnea: Self-reported diagnosis by a physician\", \"Original question: *21a. Have you been told by a doctor that you have any of the following: Sleep Apnea (or obstructive sleep apnea, OSA)?*\", \"choices\", \"NaN\", \"noyes\", \"sdb;nhanes_07apnea\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Disordered Breathing\", \"snored5\", \"Frequency of snoring in the past 4 weeks\", \"Original question: *13. Over the past 4 weeks, how often have you snored?*\", \"choices\", \"NaN\", \"freq4weeksdk\", \"sdb;nhanes_03snore\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Disordered Breathing\", \"stpbrthng5\", \"Frequency of breathing-stop during sleep in the past 4 weeks\", \"Original question: *14. Over the past 4 weeks, how often do you have times when you stop breathing during your sleep?*\", \"choices\", \"NaN\", \"freq4weeksdk\", \"sdb;nhanes_04stop\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Disturbance/Women's Health Initiative Insomnia Rating Scale (WHIIRS)\", \"bcksleep5\", \"Women's Health Initiative Insomnia Rating Scale: Trouble getting back to sleep after waking too early\", \"Item from the Women's Health Initiative Insomnia Rating Scale. [Levine et al. (2003)](https://psycnet.apa.org/record/2003-06188-004) <br><br> Original question: *The next questions ask about your sleep habits. Please choose one of the answers for each of the following questions. Pick the answer that best describes how often you experienced the situation in the past 4 weeks. 7. Did you have trouble getting back to sleep after you woke up too early?* <br><br> [Search for all WHIIRS variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=whiirs)\", \"choices\", \"NaN\", \"freq4weeks\", \"insomnia;whiirs;whiirs_4backtosleep\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Disturbance/Women's Health Initiative Insomnia Rating Scale (WHIIRS)\", \"trbleslpng5\", \"Women's Health Initiative Insomnia Rating Scale: Trouble falling asleep\", \"Item from the Women's Health Initiative Insomnia Rating Scale. [Levine et al. (2003)](https://psycnet.apa.org/record/2003-06188-004) <br><br> Original question: *The next questions ask about your sleep habits. Please choose one of the answers for each of the following questions. Pick the answer that best describes how often you experienced the situation in the past 4 weeks. 4. Did you have trouble falling asleep?* <br><br> [Search for all WHIIRS variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=whiirs)\", \"choices\", \"NaN\", \"freq4weeks\", \"insomnia;whiirs;whiirs_1fallasleep\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Disturbance/Women's Health Initiative Insomnia Rating Scale (WHIIRS)\", \"typicalslp5\", \"Women's Health Initiative Insomnia Rating Scale: Typical night sleep\", \"Item from the Women's Health Initiative Insomnia Rating Scale. [Levine et al. (2003)](https://psycnet.apa.org/record/2003-06188-004) <br><br> Original question: *11. Overall, was your typical night's sleep during the past 4 weeks:* <br><br> [Search for all WHIIRS variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=whiirs)\", \"choices\", \"NaN\", \"typicalsleep\", \"insomnia;whiirs;whiirs_5quality\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Disturbance/Women's Health Initiative Insomnia Rating Scale (WHIIRS)\", \"wakeearly5\", \"Women's Health Initiative Insomnia Rating Scale: Wake earlier than planned\", \"Item from the Women's Health Initiative Insomnia Rating Scale. [Levine et al. (2003)](https://psycnet.apa.org/record/2003-06188-004) <br><br> Original question: *The next questions ask about your sleep habits. Please choose one of the answers for each of the following questions. Pick the answer that best describes how often you experienced the situation in the past 4 weeks. 6. Did you wake up earlier than you planned to?* <br><br> [Search for all WHIIRS variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=whiirs)\", \"choices\", \"NaN\", \"freq4weeks\", \"insomnia;whiirs;whiirs_3earlywake\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Disturbance/Women's Health Initiative Insomnia Rating Scale (WHIIRS)\", \"wakeup5\", \"Women's Health Initiative Insomnia Rating Scale: Wake several times at night\", \"Item from the Women's Health Initiative Insomnia Rating Scale. [Levine et al. (2003)](https://psycnet.apa.org/record/2003-06188-004) <br><br> Original question: *The next questions ask about your sleep habits. Please choose one of the answers for each of the following questions. Pick the answer that best describes how often you experienced the situation in the past 4 weeks. 5. Did you wake up several times a night?* <br><br> [Search for all WHIIRS variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=whiirs)\", \"choices\", \"NaN\", \"freq4weeks\", \"insomnia;whiirs;whiirs_2freqwake\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Disturbance\", \"irritable5\", \"Frequency of irritability due to sleep difficulties in the last 4 weeks\", \"Original question: *The next questions ask about your sleep habits. Please choose one of the answers for each of the following questions. Pick the answer that best describes how often you experienced the situation in the past 4 weeks. 9. Did you have sleep difficulties that made you very irritable?*\", \"choices\", \"NaN\", \"freq4weeks\", \"sleep_related_impairment\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Disturbance\", \"slpngpills5\", \"Frequency of taking sleeping pills to help with sleep in the last 4 weeks\", \"Original question: *The next questions ask about your sleep habits. Please choose one of the answers for each of the following questions. Pick the answer that best describes how often you experienced the situation in the past 4 weeks. 8. Did you take sleeping pills to help you sleep?*\", \"choices\", \"NaN\", \"freq4weeks\", \"insomnia;nhanes_17meds\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Disturbance\", \"whiirs5c\", \"Women's Health Initiative Insomnia Rating Scale: Total score\", \"Calculated - The Women's Health Initiative Insomnia Rating Scale (WHIIRS) has 5 items. Each item is scored on a 5 point scale (from 0-4). The total score is the sum of all five items ranging from 0 to 20. Higher score indicates more severe insomnia. A score of 9 or higher is considered clinically significant insomnia. [Levine et al.(2003)](https://psycnet.apa.org/record/2003-06188-004) <br><br> [Search for all WHIIRS variables within this dataset](https://sleepdata.org/datasets/mesa/variables?search=whiirs)\", \"integer\", \"NaN\", \"NaN\", \"insomnia;whiirs;whiirs_score\", \"NaN\", \"True\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Habits\", \"bedtmwkday5c\", \"Self-reported start time of the in-bed period on weekdays in 24-hour format\", \"Conventionally this variable would be called time to bed.<br><br>Original question: *1. What time do you usually go to bed? a. On weekdays or work or school days?*\", \"time\", \"hh:mm:ss\", \"NaN\", \"sleep_timing;begtimbd_w5_f3\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Habits\", \"bedtmwkend5c\", \"Self-reported start time of the in-bed period on weekends in 24-hour format\", \"Conventionally this variable would be called time to bed.<br><br>Original question: *1. What time do you usually go to bed? b. On weekends, or days off?*\", \"time\", \"hh:mm:ss\", \"NaN\", \"sleep_timing;begtimbd_w2_f3\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Habits\", \"nap5\", \"Typical number of naps in a usual week from survey questionnaires\", \"Original question: *3. During a usual week, how many times do you nap for 5 minutes or more?*\", \"integer\", \"number of events\", \"NaN\", \"ttlnumnp_in_w7_f3\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Habits\", \"waketmwkday5c\", \"Self-reported end time of the in-bed period on weekdays in 24-hour format from survey questionnaires\", \"Conventionally this variable would be called wake time.<br><br>Original question: *2. What time do you usually wake up: a. On weekdays or work or school days?*\", \"time\", \"hh:mm:ss\", \"NaN\", \"sleep_timing;endtimbd_w5_f3\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Habits\", \"waketmwkend5c\", \"Self-reported end time of the in-bed period on weekends in 24-hour format from survey questionnaires\", \"Conventionally this variable would be called wake time.<br><br>Original question: *2. What time do you usually wake up: b. On weekends, or days off?*\", \"time\", \"hh:mm:ss\", \"NaN\", \"sleep_timing;endtimbd_w2_f3\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Habits\", \"wkdaysleepdur5c\", \"Self-reported daily sleep duration on weekdays from survey questionnaires\", \"NaN\", \"time\", \"hh:mm:ss\", \"NaN\", \"sleep_duration;avgdursp_w5_f3\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Habits\", \"wkdaysleepdur5t\", \"Self-reported daily sleep duration on weekdays from survey questionnaires\", \"NaN\", \"numeric\", \"hours (hr)\", \"NaN\", \"sleep_duration;avgdursp_w5_f3\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Habits\", \"wkendsleepdur5c\", \"Self-reported daily sleep duration on weekends from survey questionnaires\", \"NaN\", \"time\", \"hh:mm:ss\", \"NaN\", \"sleep_duration;avgdursp_w2_f3\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Questionnaires/Sleep Habits\", \"wkendsleepdur5t\", \"Self-reported daily sleep duration on weekends from survey questionnaires\", \"NaN\", \"numeric\", \"hours (hr)\", \"NaN\", \"sleep_duration;avgdursp_w2_f3\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Treatment\", \"cpap5\", \"CPAP or BiPAP Machine for Sleep Apnea: Self-reported\", \"Original question: *21a. Did you receive treatment for sleep apnea with any of the following: CPAP or BIPAP machine?*\", \"choices\", \"NaN\", \"noyes\", \"sdb\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Treatment\", \"dntaldv5\", \"Dental (Oral) Device for Sleep Apnea: Self-reported\", \"Original question: *21a. Did you receive treatment for sleep apnea with any of the following: Dental (Oral) Device?*\", \"choices\", \"NaN\", \"noyes\", \"sdb\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"], [\"Sleep Treatment\", \"uvula5\", \"Throat/Uvula Surgery for Sleep Apnea: Self-reported\", \"Original question: *21a. Did you receive treatment for sleep apnea with any of the following: Throat/Uvula Surgery?*\", \"choices\", \"NaN\", \"noyes\", \"sdb\", \"NaN\", \"NaN\", \"mesa_sleep_questionnaire\"]];\n",
"\n",
" // Define the dt_args\n",
" let dt_args = {\"layout\": {\"topStart\": \"pageLength\", \"topEnd\": \"search\", \"bottomStart\": \"info\", \"bottomEnd\": \"paging\"}, \"order\": [], \"warn_on_selected_rows_not_rendered\": true};\n",
" dt_args[\"data\"] = data;\n",
"\n",
" \n",
" new DataTable(table, dt_args);\n",
" });\n",
"</script>\n"
],
"text/plain": [
" folder id \\\n",
"0 Administrative cucmcn1c \n",
"1 Administrative examnumber \n",
"2 Administrative gender1 \n",
"3 Administrative mesaid \n",
"4 Administrative race1c \n",
".. ... ... \n",
"643 Sleep Questionnaires/Sleep Habits wkendsleepdur5c \n",
"644 Sleep Questionnaires/Sleep Habits wkendsleepdur5t \n",
"645 Sleep Treatment cpap5 \n",
"646 Sleep Treatment dntaldv5 \n",
"647 Sleep Treatment uvula5 \n",
"\n",
" display_name \\\n",
"0 Current participant consent for commercial use... \n",
"1 MESA exam number \n",
"2 Gender of the participant \n",
"3 MESA BioLINCC ID \n",
"4 Race/ethnicity of the participant \n",
".. ... \n",
"643 Self-reported daily sleep duration on weekends... \n",
"644 Self-reported daily sleep duration on weekends... \n",
"645 CPAP or BiPAP Machine for Sleep Apnea: Self-re... \n",
"646 Dental (Oral) Device for Sleep Apnea: Self-rep... \n",
"647 Throat/Uvula Surgery for Sleep Apnea: Self-rep... \n",
"\n",
" description type \\\n",
"0 NaN choices \n",
"1 Note: The MESA Sleep ancillary study took plac... choices \n",
"2 NaN choices \n",
"3 This subject identifier code matches what has ... identifier \n",
"4 Note from MESA Coordinating Center: It is reco... choices \n",
".. ... ... \n",
"643 NaN time \n",
"644 NaN numeric \n",
"645 Original question: *21a. Did you receive treat... choices \n",
"646 Original question: *21a. Did you receive treat... choices \n",
"647 Original question: *21a. Did you receive treat... choices \n",
"\n",
" units domain labels calculation \\\n",
"0 NaN noyes NaN NaN \n",
"1 NaN examnumber NaN NaN \n",
"2 NaN gender NaN NaN \n",
"3 NaN NaN NaN NaN \n",
"4 NaN race NaN NaN \n",
".. ... ... ... ... \n",
"643 hh:mm:ss NaN sleep_duration;avgdursp_w2_f3 NaN \n",
"644 hours (hr) NaN sleep_duration;avgdursp_w2_f3 NaN \n",
"645 NaN noyes sdb NaN \n",
"646 NaN noyes sdb NaN \n",
"647 NaN noyes sdb NaN \n",
"\n",
" commonly_used forms \n",
"0 True NaN \n",
"1 True NaN \n",
"2 True NaN \n",
"3 True NaN \n",
"4 True NaN \n",
".. ... ... \n",
"643 NaN mesa_sleep_questionnaire \n",
"644 NaN mesa_sleep_questionnaire \n",
"645 NaN mesa_sleep_questionnaire \n",
"646 NaN mesa_sleep_questionnaire \n",
"647 NaN mesa_sleep_questionnaire \n",
"\n",
"[648 rows x 11 columns]"
]
},
"execution_count": 6,
"metadata": {},
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}
],
"source": [
"variables"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
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{
"data": {
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" <th>sdmainsleepnw5</th>\n",
" <th>avgonsetlatencynw5</th>\n",
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" <th>avgfragmentationnw5</th>\n",
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" <th>ndaysnapsallnw5</th>\n",
" <th>ndaysnapssleepnw5</th>\n",
" <th>ndaysnapssleep15nw5</th>\n",
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" <th>avgnnapssleepnw5</th>\n",
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" <th>avginbedtimenw5</th>\n",
" <th>sdinbedtimenw5</th>\n",
" <th>avgsleeponsettimenw5</th>\n",
" <th>sdsleeponsettimenw5</th>\n",
" <th>avgsleepoffsettimenw5</th>\n",
" <th>sdsleepoffsettimenw5</th>\n",
" <th>avgoutbedtimenw5</th>\n",
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" <th>sdrestmidpointnw5</th>\n",
" <th>avgsleepmidpointnw5</th>\n",
" <th>sdsleepmidpointnw5</th>\n",
" <th>avgwhitetaltnw5</th>\n",
" <th>avgbluetaltnw5</th>\n",
" <th>avggreentaltnw5</th>\n",
" <th>avgredtaltnw5</th>\n",
" <th>avgsleepnapdailyrd5</th>\n",
" <th>dstoverlap5</th>\n",
" <th>epochlength5</th>\n",
" <th>lgn</th>\n",
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" htcm5 wtlb5 bmi5c ... avgsleepmidpointnw5 sdsleepmidpointnw5 \\\n",
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"3 169.1 125.1 19.844636 ... 2:35:19 2:44:18 \n",
"4 178.0 194.0 27.773766 ... 13:11:20 11:04:51 \n",
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"4 80.583333 5.583333 14.000000 9.916667 \n",
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},
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],
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{
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" const { DataTable, jQuery: $ } = await import(window._datatables_src_for_itables_2_2_2);\n",
"\n",
" document.querySelectorAll(\"#itables_f204f246_b06a_4def_b82e_bca68a33f6a2:not(.dataTable)\").forEach(table => {\n",
" if (!(table instanceof HTMLTableElement))\n",
" return;\n",
"\n",
" // Define the table data\n",
" const data = [[1, 5, 70.0, 22.01, \"no\", \"female\", \"white\", \"no\", \"yes\", 18.14, 27.56, 9.94, 23.02, 344.0, 27.03, \"full scoring\", 59.83, 62.66, 26.0, 124.0, 67.0, 205.5, 19.7, 66.2, 2.77, 11.4, 575.0], [2, 5, 83.0, 21.9, \"no\", \"female\", \"white\", \"not reported\", \"no\", 8.34, 10.75, 3.85, 7.38, 374.0, 24.55, \"full scoring\", 86.37, 86.37, NaN, 67.0, 54.0, 59.0, 6.55, 48.4, 20.9, 24.2, 433.0], [6, 5, 57.0, 56.01, \"no\", \"female\", \"hispanic\", \"no\", \"yes\", 62.51, 67.21, 51.12, 58.32, 358.0, 21.79, \"full scoring\", 72.03, 72.03, NaN, 78.0, 21.0, 139.0, 19.7, 53.1, 10.5, 16.6, 497.0], [10, 5, 57.0, 19.84, \"no\", \"male\", \"white\", \"not reported\", \"no\", 40.91, 48.0, 32.18, 45.27, 110.0, 46.91, \"full scoring\", 55.28, 55.28, NaN, 0.0, 0.0, 89.0, 9.13, 57.5, 33.3, 0.0, 199.0], [12, 5, 80.0, 27.77, \"no\", \"male\", \"white\", \"not reported\", \"no\", 27.47, 33.63, 20.22, 29.89, 273.0, 28.79, \"full scoring\", 46.83, 47.81, 12.0, 416.0, 138.0, 298.0, 15.6, 69.0, 2.94, 12.5, 583.0], [14, 5, 60.0, 31.45, \"no\", \"female\", \"black or african american\", \"yes\", \"yes\", 11.37, 12.94, 6.54, 9.24, 422.0, 11.23, \"full scoring\", 84.4, 85.08, 4.0, 61.0, 57.0, 73.5, 2.61, 45.2, 31.1, 21.1, 500.0], [16, 5, 57.0, 23.65, \"no\", \"female\", \"hispanic\", \"no\", \"yes\", 2.7, 4.41, 1.42, 3.7, 422.0, 14.93, \"full scoring\", 91.54, 91.54, NaN, 60.0, 43.0, 38.0, 8.53, 60.5, 4.62, 26.3, 461.0], [21, 5, 78.0, 22.77, \"no\", \"female\", \"hispanic\", \"not reported\", \"no\", 19.28, 25.91, 12.51, 21.06, 470.0, 29.36, \"full scoring\", 87.2, 87.2, NaN, 218.0, 184.0, 69.0, 23.1, 54.5, 14.2, 8.2, 539.0], [27, 5, 72.0, 20.21, \"no\", \"female\", \"white\", \"not reported\", \"no\", 10.0, 12.93, 5.37, 8.54, 492.0, 13.17, \"full scoring\", 95.16, 95.16, NaN, 48.0, 45.0, 24.5, 13.2, 65.1, 2.44, 19.2, 517.0], [28, 5, 60.0, 32.73, \"no\", \"female\", \"white\", \"yes\", \"yes\", 21.87, 27.47, 17.89, 24.58, 332.0, 29.82, \"full scoring\", 89.01, 89.01, NaN, 43.0, 33.0, 40.5, 10.5, 56.2, 10.8, 22.4, 373.0], [29, 5, 77.0, 23.59, \"no\", \"male\", \"white\", \"no\", \"yes\", NaN, NaN, NaN, NaN, NaN, NaN, \"unknown\", NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN], [33, 5, 77.0, 28.83, \"no\", \"male\", \"asian\", \"not reported\", \"no\", 70.48, 73.61, 66.69, 71.82, 269.0, 59.33, \"full scoring\", 56.04, 56.04, NaN, 173.0, 34.0, 210.5, 20.1, 61.2, 0.0, 18.8, 480.0], [35, 5, 67.0, 23.02, \"no\", \"male\", \"hispanic\", \"not reported\", \"no\", 4.89, 11.13, 2.71, 10.05, 221.0, 18.46, \"full scoring\", 48.36, 48.36, NaN, 264.0, 69.0, 235.5, 12.0, 53.4, 9.5, 25.1, 457.0], [36, 5, 75.0, 33.04, \"no\", \"male\", \"hispanic\", \"not reported\", \"no\", 12.0, 18.75, 6.25, 14.25, 240.0, 24.5, \"full scoring\", 65.4, 65.4, NaN, 3.0, 3.0, 126.5, 16.0, 47.9, 16.0, 20.0, 367.0], [38, 5, 63.0, 31.76, \"no\", \"male\", \"white\", \"not reported\", \"no\", 7.33, 8.32, 3.56, 4.95, 303.0, 7.52, \"full scoring\", 98.38, 98.38, NaN, 55.0, 55.0, 4.5, 4.63, 55.9, 18.0, 21.5, 308.0], [46, 5, 79.0, 26.7, \"no\", \"female\", \"white\", \"no\", \"yes\", 23.41, 24.81, 19.69, 22.48, 387.0, 15.19, \"full scoring\", 76.63, 76.63, NaN, 186.0, 92.0, 118.0, 14.1, 42.7, 27.7, 15.5, 505.0], [48, 5, 82.0, 27.28, \"no\", \"female\", \"white\", \"not reported\", \"no\", 8.12, 9.28, 4.31, 5.97, 362.0, 18.4, \"full scoring\", 70.02, 70.29, 2.0, 44.0, 32.0, 152.5, 7.88, 57.4, 13.3, 21.4, 517.0], [50, 5, 68.0, 25.62, \"no\", \"male\", \"black or african american\", \"no\", \"yes\", 8.92, 9.97, 5.59, 7.1, 397.0, 11.49, \"full scoring\", 82.37, 82.37, NaN, 27.0, 27.0, 84.5, 3.4, 66.9, 8.69, 21.0, 482.0], [52, 5, 56.0, 26.66, \"no\", \"male\", \"black or african american\", \"not reported\", \"no\", 8.29, 10.76, 3.88, 7.24, 340.0, 14.82, \"full scoring\", 77.63, 77.63, NaN, 86.0, 80.0, 97.5, 10.4, 62.8, 0.74, 26.0, 438.0], [54, 5, 61.0, 30.13, \"no\", \"female\", \"black or african american\", \"not reported\", \"no\", 27.27, 33.12, 20.45, 27.66, 308.0, 32.14, \"full scoring\", 64.84, 64.84, NaN, 118.0, 98.0, 166.5, 10.7, 66.2, 10.2, 12.8, 475.0], [56, 5, 63.0, 22.62, \"no\", \"female\", \"black or african american\", \"not reported\", \"no\", 4.39, 5.03, 1.55, 2.45, 465.0, 11.23, \"full scoring\", 83.63, 85.16, 10.0, 74.0, 61.0, 81.0, 8.93, 62.3, 8.18, 20.6, 556.0], [64, 5, 58.0, 32.96, \"no\", \"male\", \"hispanic\", \"not reported\", \"no\", 43.7, 46.42, 35.77, 40.98, 265.0, 28.3, \"full scoring\", 66.75, 66.75, NaN, 155.0, 71.0, 131.5, 22.1, 61.5, 5.28, 11.1, 397.0], [70, 5, 59.0, 50.03, \"no\", \"female\", \"white\", \"no\", \"yes\", 8.97, 9.21, 4.36, 4.73, 495.0, 10.06, \"full scoring\", 92.87, 92.87, NaN, 424.0, 389.0, 38.0, 4.45, 64.3, 23.6, 7.68, 533.0], [74, 5, 75.0, 28.87, \"no\", \"male\", \"black or african american\", \"no\", \"yes\", 17.44, 22.46, 11.08, 18.92, 406.0, 20.39, \"full scoring\", 70.86, 70.86, NaN, 149.0, 107.0, 167.0, 9.74, 71.1, 6.29, 12.8, 573.0], [77, 5, 61.0, 28.53, \"no\", \"male\", \"hispanic\", \"not reported\", \"no\", 4.55, 6.34, 2.76, 4.97, 435.0, 11.59, \"full scoring\", 90.06, 90.06, NaN, 65.0, 61.0, 48.0, 5.87, 68.8, 0.12, 25.2, 483.0], [79, 5, 74.0, 26.79, \"no\", \"female\", \"white\", \"no\", \"yes\", 27.22, 30.4, 19.56, 25.64, 227.0, 28.55, \"full scoring\", 57.76, 64.67, 42.0, 195.0, 80.0, 123.5, 9.93, 32.0, 39.1, 19.0, 393.0], [81, 5, 80.0, 29.74, \"no\", \"female\", \"black or african american\", \"not reported\", \"no\", 41.66, 46.11, 38.1, 44.69, 337.0, 37.74, \"full scoring\", 75.9, 84.67, 46.0, 55.0, 48.0, 61.5, 19.7, 42.3, 15.4, 22.6, 444.0], [84, 5, 58.0, 30.0, \"no\", \"female\", \"hispanic\", \"not reported\", \"no\", 6.67, 8.41, 4.35, 7.1, 414.0, 18.26, \"full scoring\", 85.71, 85.71, NaN, 78.0, 54.0, 68.5, 7.38, 60.8, 12.7, 19.1, 483.0], [85, 5, 60.0, 26.15, \"no\", \"female\", \"black or african american\", \"yes\", \"yes\", 4.96, 12.46, 3.31, 10.93, 472.0, 13.73, \"full scoring\", 78.15, 88.89, 73.0, 85.0, 61.0, 58.5, 10.3, 46.7, 14.9, 28.1, 604.0], [87, 5, 75.0, 33.58, \"no\", \"female\", \"black or african american\", \"no\", \"yes\", 11.91, 12.63, 7.46, 8.61, 418.0, 8.04, \"full scoring\", 95.65, 95.65, NaN, 16.0, 16.0, 18.5, 4.55, 55.0, 14.2, 26.2, 437.0], [93, 5, 79.0, 26.67, \"no\", \"male\", \"asian\", \"not reported\", \"no\", NaN, NaN, NaN, NaN, NaN, NaN, \"unknown\", NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN], [99, 5, 71.0, 30.54, \"no\", \"male\", \"white\", \"no\", \"yes\", 24.4, 26.54, 16.98, 21.76, 364.0, 22.09, \"full scoring\", 79.3, 79.3, NaN, 48.0, 43.0, 95.0, 14.9, 52.5, 8.53, 24.1, 459.0], [101, 5, 63.0, 32.57, \"no\", \"female\", \"hispanic\", \"not reported\", \"no\", 6.14, 7.67, 2.92, 5.06, 391.0, 12.89, \"full scoring\", 84.82, 84.82, NaN, 9.0, 8.0, 69.5, 4.74, 40.3, 33.9, 21.0, 461.0], [105, 5, 68.0, 38.38, \"no\", \"female\", \"black or african american\", \"not reported\", \"no\", 19.72, 21.07, 14.66, 17.02, 356.0, 11.29, \"full scoring\", 78.24, 78.24, NaN, 119.0, 57.0, 98.5, 9.13, 46.6, 21.9, 22.3, 455.0], [107, 5, 82.0, 33.82, \"no\", \"male\", \"white\", \"no\", \"yes\", 52.57, 58.83, 49.96, 56.61, 460.0, 23.74, \"full scoring\", 93.69, 93.69, NaN, 138.0, 130.0, 31.0, 14.5, 59.7, 11.5, 14.3, 491.0], [109, 5, 66.0, 27.0, \"no\", \"male\", \"hispanic\", \"no\", \"yes\", 16.03, 23.02, 8.73, 17.3, 378.0, 26.67, \"full scoring\", 82.35, 82.35, NaN, 125.0, 84.0, 80.5, 19.3, 54.8, 4.5, 21.4, 459.0], [110, 5, 60.0, 29.11, \"no\", \"male\", \"white\", \"no\", \"no\", 36.23, 39.46, 27.46, 33.23, 260.0, 17.31, \"full scoring\", 75.36, 83.07, 32.0, 84.0, 63.0, 53.0, 10.0, 67.7, 13.8, 8.46, 345.0], [111, 5, 77.0, 20.1, \"no\", \"female\", \"white\", \"not reported\", \"no\", 0.0, 0.0, 0.0, 0.0, 231.0, 18.18, \"full scoring\", 51.22, 59.69, 64.0, 82.0, 44.0, 155.5, 18.7, 38.0, 12.1, 31.2, 451.0], [113, 5, 61.0, 22.22, \"no\", \"female\", \"asian\", \"not reported\", \"no\", 1.96, 3.27, 0.33, 2.29, 367.0, 12.26, \"full scoring\", 85.55, 93.62, 37.0, 95.0, 91.0, 24.5, 7.77, 60.9, 12.9, 18.4, 429.0], [117, 5, 65.0, 28.67, \"no\", \"female\", \"black or african american\", \"not reported\", \"no\", NaN, NaN, NaN, NaN, NaN, NaN, \"unknown\", NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN], [118, 5, 56.0, 28.69, \"no\", \"female\", \"hispanic\", \"not reported\", \"no\", 12.87, 13.59, 7.95, 9.69, 415.0, 17.49, \"full scoring\", 86.64, 87.92, 7.0, 109.0, 94.0, 57.0, 6.27, 53.7, 24.1, 15.9, 479.0], [120, 5, 60.0, 30.38, \"no\", \"female\", \"hispanic\", \"no\", \"yes\", 8.21, 18.37, 4.89, 16.61, 307.0, 23.84, \"full scoring\", 60.08, 68.68, 64.0, 123.0, 59.0, 140.0, 19.9, 55.1, 1.79, 23.2, 511.0], [121, 5, 58.0, 29.29, \"no\", \"male\", \"white\", \"yes\", \"yes\", 13.9, 18.12, 8.62, 14.25, 341.0, 30.09, \"full scoring\", 86.33, 86.33, NaN, 60.0, 54.0, 54.0, 21.4, 40.5, 17.4, 20.7, 395.0], [125, 5, 82.0, 22.22, \"no\", \"male\", \"white\", \"not reported\", \"no\", 43.72, 46.65, 38.14, 41.66, 409.0, 19.8, \"full scoring\", 77.32, 77.32, NaN, 130.0, 117.0, 120.0, 22.0, 68.3, 0.73, 8.92, 529.0], [128, 5, 62.0, 36.03, \"no\", \"male\", \"hispanic\", \"not reported\", \"no\", NaN, NaN, NaN, NaN, NaN, NaN, \"unknown\", NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN], [132, 5, 62.0, 31.16, \"no\", \"male\", \"hispanic\", \"not reported\", \"no\", 4.55, 6.83, 1.25, 4.21, 527.0, 23.11, \"full scoring\", 88.42, 88.42, NaN, 86.0, 84.0, 69.0, 13.7, 70.2, 1.8, 14.3, 596.0], [133, 5, 84.0, 26.64, \"no\", \"male\", \"white\", \"not reported\", \"no\", 22.09, 26.61, 14.09, 20.35, 345.0, 25.39, \"full scoring\", 73.09, 81.37, 48.0, 86.0, 77.0, 79.0, 15.5, 62.6, 0.0, 21.9, 472.0], [134, 5, 89.0, 21.61, \"no\", \"female\", \"white\", \"not reported\", \"no\", NaN, NaN, NaN, NaN, NaN, NaN, \"unknown\", NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN], [138, 5, 63.0, 26.55, \"no\", \"male\", \"hispanic\", \"no\", \"yes\", 30.47, 30.94, 24.33, 25.98, 254.0, 21.73, \"full scoring\", 95.13, 95.13, NaN, 4.0, 4.0, 13.0, 14.8, 62.5, 1.18, 21.5, 267.0], [139, 5, 65.0, 30.18, \"no\", \"female\", \"white\", \"not reported\", \"no\", NaN, NaN, NaN, NaN, NaN, NaN, \"unknown\", NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN], [140, 5, 67.0, 32.97, \"no\", \"male\", \"black or african american\", \"no\", \"yes\", 43.98, 50.12, 36.89, 44.72, 322.0, 35.59, \"full scoring\", 73.68, 73.68, NaN, 53.0, 48.0, 115.0, 23.3, 54.0, 3.73, 19.0, 437.0], [144, 5, 67.0, 36.05, \"no\", \"female\", \"hispanic\", \"no\", \"yes\", 16.61, 20.95, 9.42, 15.25, 484.0, 18.84, \"full scoring\", 85.36, 87.84, 16.0, 75.0, 68.0, 66.5, 8.27, 54.3, 7.86, 29.6, 567.0], [149, 5, 81.0, 30.65, \"no\", \"female\", \"white\", \"no\", \"yes\", 15.41, 20.55, 9.04, 15.21, 292.0, 17.47, \"full scoring\", 57.82, 69.86, 87.0, 126.0, 74.0, 125.5, 16.1, 51.9, 14.2, 17.8, 505.0], [152, 5, 80.0, 26.97, \"no\", \"male\", \"black or african american\", \"not reported\", \"no\", 7.06, 10.82, 1.41, 6.59, 255.0, 17.65, \"full scoring\", 62.2, 84.72, 109.0, 199.0, 176.0, 46.0, 6.08, 86.5, 5.69, 1.76, 410.0], [155, 5, 76.0, 29.21, \"no\", \"male\", \"hispanic\", \"not reported\", \"no\", 29.55, 34.9, 25.84, 31.63, 404.0, 12.03, \"full scoring\", 75.8, 75.8, NaN, 31.0, 30.0, 128.5, 12.5, 65.7, 1.36, 20.4, 533.0], [159, 5, 58.0, 27.9, \"no\", \"female\", \"hispanic\", \"no\", \"yes\", 1.37, 4.1, 0.68, 3.42, 439.0, 15.17, \"full scoring\", 79.24, 87.1, 50.0, 176.0, 130.0, 65.5, 5.59, 59.9, 18.1, 16.4, 554.0], [167, 5, 59.0, 19.82, \"no\", \"female\", \"asian\", \"not reported\", \"no\", 0.45, 3.17, 0.0, 2.94, 265.0, 18.57, \"full scoring\", 55.32, 94.31, 198.0, 33.0, 32.0, 16.0, 5.28, 47.5, 25.5, 21.7, 479.0], [168, 5, 63.0, 21.9, \"no\", \"female\", \"white\", \"yes\", \"yes\", NaN, NaN, NaN, NaN, NaN, NaN, \"unknown\", NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN], [169, 5, 71.0, 30.35, \"no\", \"male\", \"white\", \"no\", \"yes\", 43.93, 45.76, 38.03, 40.68, 295.0, 33.97, \"full scoring\", 64.84, 64.84, NaN, 125.0, 74.0, 160.0, 39.5, 39.5, 0.68, 20.3, 455.0], [171, 5, 59.0, 38.26, \"no\", \"female\", \"white\", \"not reported\", \"no\", 5.92, 6.74, 2.48, 3.85, 436.0, 13.49, \"full scoring\", 85.16, 85.16, NaN, 243.0, 209.0, 75.5, 11.8, 73.5, 2.18, 12.5, 512.0], [179, 5, 75.0, 34.32, \"no\", \"female\", \"hispanic\", \"no\", \"yes\", NaN, NaN, NaN, NaN, NaN, NaN, \"unknown\", NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN], [182, 5, 72.0, 24.72, \"no\", \"male\", \"black or african american\", \"yes\", \"yes\", NaN, NaN, NaN, NaN, NaN, NaN, \"unknown\", NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN], [183, 5, 65.0, 34.27, \"no\", \"male\", \"black or african american\", \"yes\", \"yes\", 38.66, 39.93, 32.75, 34.86, 284.0, 18.59, \"full scoring\", 84.52, 84.52, NaN, 81.0, 77.0, 52.0, 14.4, 58.1, 15.3, 12.1, 336.0], [187, 5, 62.0, 34.47, \"no\", \"female\", \"hispanic\", \"no\", \"yes\", 14.85, 16.39, 9.31, 12.02, 509.0, 9.31, \"full scoring\", 93.22, 97.32, 23.0, 78.0, 77.0, 14.0, 5.51, 68.0, 14.6, 11.9, 546.0], [188, 5, 71.0, 24.37, \"no\", \"male\", \"asian\", \"not reported\", \"no\", 20.84, 31.44, 15.27, 30.36, 334.0, 31.44, \"full scoring\", 70.91, 70.91, NaN, 77.0, 48.0, 136.5, 16.0, 59.3, 14.1, 10.6, 471.0], [193, 5, 89.0, 24.62, \"no\", \"male\", \"white\", \"not reported\", \"no\", 17.54, 20.05, 13.23, 16.98, 431.0, 19.07, \"full scoring\", 74.31, 74.31, NaN, 82.0, 45.0, 148.5, 18.6, 46.2, 6.85, 28.3, 580.0], [194, 5, 57.0, 27.03, \"no\", \"female\", \"hispanic\", \"not reported\", \"no\", 8.02, 11.89, 5.12, 9.4, 434.0, 11.75, \"full scoring\", 84.11, 94.97, 59.0, 37.0, 36.0, 23.0, 8.54, 55.2, 3.46, 32.8, 516.0], [195, 5, 84.0, 22.97, \"no\", \"female\", \"hispanic\", \"not reported\", \"no\", 6.46, 18.28, 4.98, 17.72, 325.0, 26.03, \"full scoring\", 72.22, 72.22, NaN, 164.0, 83.0, 125.0, 23.0, 47.8, 14.3, 14.9, 450.0], [196, 5, 75.0, 27.42, \"no\", \"male\", \"white\", \"not reported\", \"no\", 51.58, 54.04, 34.74, 39.3, 171.0, 20.7, \"full scoring\", 62.41, 91.44, 87.0, 81.0, 73.0, 16.0, 20.2, 42.5, 21.4, 15.8, 274.0], [197, 5, 67.0, 41.54, \"no\", \"female\", \"black or african american\", \"not reported\", \"no\", 27.33, 29.04, 18.79, 21.14, 281.0, 11.74, \"full scoring\", 60.95, 60.95, NaN, 73.0, 60.0, 180.0, 12.1, 60.7, 3.38, 23.8, 461.0], [199, 5, 90.0, 24.28, \"yes\", \"male\", \"white\", \"not reported\", \"no\", NaN, NaN, NaN, NaN, NaN, NaN, \"unknown\", NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN], [204, 5, 75.0, 22.69, \"no\", \"male\", \"asian\", \"not reported\", \"no\", 2.17, 6.36, 0.62, 5.12, 387.0, 16.9, \"full scoring\", 80.79, 83.05, 13.0, 47.0, 43.0, 79.0, 5.94, 64.3, 10.2, 19.5, 479.0], [209, 5, 82.0, 18.88, \"no\", \"male\", \"white\", \"no\", \"yes\", NaN, NaN, NaN, NaN, NaN, NaN, \"unknown\", NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN], [211, 5, 61.0, 28.45, \"no\", \"female\", \"black or african american\", \"no\", \"yes\", 14.33, 14.87, 9.13, 11.1, 335.0, 22.57, \"full scoring\", 75.11, 75.11, NaN, 65.0, 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\"yes\", 25.84, 30.44, 15.58, 21.95, 339.0, 20.35, \"full scoring\", 67.53, 67.53, NaN, 79.0, 51.0, 163.0, 21.7, 57.6, 0.0, 20.7, 502.0], [6811, 5, 79.0, 27.73, \"no\", \"male\", \"hispanic\", \"no\", \"yes\", 34.24, 45.33, 29.18, 43.53, 368.0, 58.04, \"full scoring\", 69.57, 69.57, NaN, 152.0, 130.0, 161.0, 50.9, 33.7, 0.82, 14.6, 529.0], [6812, 5, 68.0, 27.02, \"no\", \"female\", \"hispanic\", \"yes\", \"yes\", 5.89, 11.16, 2.32, 9.26, 285.0, 18.53, \"full scoring\", 59.5, 76.41, 106.0, 120.0, 55.0, 87.5, 11.2, 59.4, 7.38, 22.0, 479.0]];\n",
"\n",
" // Define the dt_args\n",
" let dt_args = {\"layout\": {\"topStart\": \"pageLength\", \"topEnd\": \"search\", \"bottomStart\": \"info\", \"bottomEnd\": \"paging\"}, \"order\": [], \"warn_on_selected_rows_not_rendered\": true, \"filtered_row_count\": 1934, \"fnInfoCallback\": function (oSettings, iStart, iEnd, iMax, iTotal, sPre) { return sPre + ' (<a href=\"https://mwouts.github.io/itables/downsampling.html\">downsampled</a> from 2,237x27 to 303x27 as maxBytes=64KB)'; }};\n",
" dt_args[\"data\"] = data;\n",
"\n",
" \n",
" new DataTable(table, dt_args);\n",
" });\n",
"</script>\n"
],
"text/plain": [
" mesaid examnumber nsrr_age nsrr_bmi nsrr_age_gt89 nsrr_sex \\\n",
"0 1 5 70.0 22.01 no female \n",
"1 2 5 83.0 21.90 no female \n",
"2 6 5 57.0 56.01 no female \n",
"3 10 5 57.0 19.84 no male \n",
"4 12 5 80.0 27.77 no male \n",
"... ... ... ... ... ... ... \n",
"2232 6804 5 77.0 24.32 no female \n",
"2233 6807 5 60.0 28.32 no male \n",
"2234 6810 5 77.0 30.47 no male \n",
"2235 6811 5 79.0 27.73 no male \n",
"2236 6812 5 68.0 27.02 no female \n",
"\n",
" nsrr_race nsrr_current_smoker nsrr_ever_smoker \\\n",
"0 white no yes \n",
"1 white not reported no \n",
"2 hispanic no yes \n",
"3 white not reported no \n",
"4 white not reported no \n",
"... ... ... ... \n",
"2232 black or african american not reported no \n",
"2233 hispanic no yes \n",
"2234 hispanic no yes \n",
"2235 hispanic no yes \n",
"2236 hispanic yes yes \n",
"\n",
" nsrr_ahi_hp3u ... nsrr_ttlmefsp_f1 nsrr_ttllatsp_f1 \\\n",
"0 18.14 ... 62.66 26.0 \n",
"1 8.34 ... 86.37 NaN \n",
"2 62.51 ... 72.03 NaN \n",
"3 40.91 ... 55.28 NaN \n",
"4 27.47 ... 47.81 12.0 \n",
"... ... ... ... ... \n",
"2232 34.02 ... 92.10 14.0 \n",
"2233 48.24 ... 79.28 NaN \n",
"2234 25.84 ... 67.53 NaN \n",
"2235 34.24 ... 69.57 NaN \n",
"2236 5.89 ... 76.41 106.0 \n",
"\n",
" nsrr_ttlprdsp_s1sr nsrr_ttldursp_s1sr nsrr_waso_f1 nsrr_pctdursp_s1 \\\n",
"0 124.0 67.0 205.5 19.70 \n",
"1 67.0 54.0 59.0 6.55 \n",
"2 78.0 21.0 139.0 19.70 \n",
"3 0.0 0.0 89.0 9.13 \n",
"4 416.0 138.0 298.0 15.60 \n",
"... ... ... ... ... \n",
"2232 84.0 78.0 41.5 18.40 \n",
"2233 192.0 148.0 103.5 22.40 \n",
"2234 79.0 51.0 163.0 21.70 \n",
"2235 152.0 130.0 161.0 50.90 \n",
"2236 120.0 55.0 87.5 11.20 \n",
"\n",
" nsrr_pctdursp_s2 nsrr_pctdursp_s3 nsrr_pctdursp_sr nsrr_tib_f1 \n",
"0 66.2 2.77 11.4 575.0 \n",
"1 48.4 20.90 24.2 433.0 \n",
"2 53.1 10.50 16.6 497.0 \n",
"3 57.5 33.30 0.0 199.0 \n",
"4 69.0 2.94 12.5 583.0 \n",
"... ... ... ... ... \n",
"2232 60.9 1.47 19.2 533.0 \n",
"2233 60.6 4.27 12.8 502.0 \n",
"2234 57.6 0.00 20.7 502.0 \n",
"2235 33.7 0.82 14.6 529.0 \n",
"2236 59.4 7.38 22.0 479.0 \n",
"\n",
"[2237 rows x 27 columns]"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"harm_data"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['folder', 'id', 'display_name', 'description', 'type', 'units',\n",
" 'domain', 'labels', 'calculation', 'commonly_used', 'forms'],\n",
" dtype='object')"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"variables.keys()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" cucmcn1c - Current participant consent for commercial use of data\n",
" examnumber - MESA exam number\n",
" gender1 - Gender of the participant\n",
" mesaid - MESA BioLINCC ID\n",
" race1c - Race/ethnicity of the participant\n",
" site5c - Site at Exam 5\n",
" sleepage5c - Participant Age at MESA Sleep Visit\n",
" sleepqsid - Sleep questionnaire staff ID\n",
" bmi5c - Body mass index\n",
" htcm5 - Height (cm)\n",
" wtlb5 - Weight (lbs)\n",
" avnn_fn5 - Normal-to-normal intervals, full night: Mean\n",
" hf_fn5 - Normal-to-normal intervals between 0.15 and 0.4 Hz, full night: Total spectral power\n",
" hfn_fn5 - Low frequency power, full night: Normalized ratio\n",
" ihr_fn5 - Instantaneous heart rate, full night: Average\n",
" lf_fn5 - Normal-to-normal intervals between 0.04 and 0.15 Hz, full night: Total spectral power\n",
" lf_hf_fn5 - Low frequency power / high frequency power, full night\n",
" lfn_fn5 - High frequency power, full night: Normalized ratio\n",
" nn_rr_fn5 - Consecutive normal-to-normal intervals / all inter-beat intervals, full night\n",
" pnn10_fn5 - Adjacent normal-to-normal intervals, full night: Percentage of differences > 10 ms\n",
" pnn20_fn5 - Adjacent normal-to-normal intervals, full night: Percentage of differences > 20 ms\n",
" pnn30_fn5 - Adjacent normal-to-normal intervals, full night: Percentage of differences > 30 ms\n",
" pnn40_fn5 - Adjacent normal-to-normal intervals, full night: Percentage of differences > 40 ms\n",
" pnn50_fn5 - Adjacent normal-to-normal intervals, full night: Percentage of differences > 50 ms\n",
" rmssd_fn5 - Adjacent normal-to-normal intervals, full night: Square root of the mean of the squares of differences\n",
" sdann_fn5 - Normal-to-normal intervals in all 5-minute segments, full night: Standard deviation of the averages\n",
" sdnn_fn5 - Normal-to-normal intervals, full night: Standard deviation\n",
" sdnnidx_fn5 - Normal-to-normal intervals in all 5-minute segments, full night: Mean of the standard deviations\n",
" totpwr_fn5 - Normal-to-normal intervals up to 0.04 Hz, full night: Total spectral power\n",
" ulf_fn5 - Normal-to-normal intervals up to 0.003 Hz, full night: Total spectral power\n",
" vlf_fn5 - Normal-to-normal intervals between 0.003 and 0.04 Hz (and between 0 and 0.04 Hz in 5-minute windows), full night: Total spectral power\n",
" avnn_5m5 - Normal-to-normal intervals, non-overlapping windows: Mean\n",
" hf_5m5 - Normal-to-normal intervals between 0.15 and 0.4 Hz, non-overlapping windows: Total spectral power\n",
" hfn_5m5 - Low frequency power, non-overlapping windows: Normalized ratio\n",
" ihr_5m5 - Instantaneous heart rate, non-overlapping windows: Average\n",
" lf_5m5 - Normal-to-normal intervals between 0.04 and 0.15 Hz, non-overlapping windows: Total spectral power\n",
" lf_hf_5m5 - Low frequency power / high frequency power, non-overlapping windows\n",
" lfn_5m5 - High frequency power, non-overlapping windows: Normalized ratio\n",
" nn_rr_5m5 - Consecutive normal-to-normal intervals / all inter-beat intervals, non-overlapping windows\n",
" pnn10_5m5 - Adjacent normal-to-normal intervals, non-overlapping windows: Percentage of differences > 10 ms\n",
" pnn20_5m5 - Adjacent normal-to-normal intervals, non-overlapping windows: Percentage of differences > 20 ms\n",
" pnn30_5m5 - Adjacent normal-to-normal intervals, non-overlapping windows: Percentage of differences > 30 ms\n",
" pnn40_5m5 - Adjacent normal-to-normal intervals, non-overlapping windows: Percentage of differences > 40 ms\n",
" pnn50_5m5 - Adjacent normal-to-normal intervals, non-overlapping windows: Percentage of differences > 50 ms\n",
" rmssd_5m5 - Adjacent normal-to-normal intervals, non-overlapping windows: Square root of the mean of the squares of differences\n",
" sdnn_5m5 - Normal-to-normal intervals, non-overlapping windows: Standard deviation\n",
" totpwr_5m5 - Normal-to-normal intervals up to 0.04 Hz, non-overlapping windows: Total spectral power\n",
" vlf_5m5 - Normal-to-normal intervals between 0.003 and 0.04 Hz (and between 0 and 0.04 Hz in 5-minute windows), non-overlapping windows: Total spectral power\n",
" extrahrs5 - Days per month working extra hours beyong usual schedule\n",
" wrksched5 - Usual work schedule\n",
" nsrr_bmi - Body mass index (BMI)\n",
" nsrr_age - Subject age\n",
" nsrr_age_gt89 - Indicates whether the subject's age (in years) used during date obfuscation is greater than 89 years\n",
" nsrr_race - Subject race\n",
" nsrr_sex - Subject sex\n",
" nsrr_current_smoker - Currently smoking cigarettes\n",
" nsrr_ever_smoker - Ever smoked cigarettes\n",
"nsrr_ahi_hp3r_aasm15 - Apnea-Hypopnea Index : (All apneas + hypopneas with >=30% nasal cannula [or alternative sensor] reduction and >= 3% oxygen desaturation or with arousal) / hour of sleep \n",
" nsrr_ahi_hp3u - Apnea-Hypopnea Index : (All apneas + hypopneas with >= 3% oxygen desaturation) / hour of sleep \n",
" nsrr_ahi_hp4r - Apnea-Hypopnea Index : (All apneas + hypopneas with >= 4% oxygen desaturation or with arousal) / hour of sleep \n",
"nsrr_ahi_hp4u_aasm15 - Apnea-Hypopnea Index : (All apneas + hypopneas with >=30% nasal cannula [or alternative sensor] reduction with >= 4% oxygen desaturation) / hour of sleep\n",
" nsrr_phrnumar_f1 - Arousal Index: Number of arousals per hour of sleep from polysomnography\n",
" nsrr_flag_spsw - Study scored sleep/wake rather than with full sleep staging if there is not sufficient quality on EEG lead. Studies scored as sleep wake have all sleep stages scored using a default of Stage 2 and no arousals are scored. \n",
" nsrr_pctdursp_s1 - Percentage of total sleep duration (i.e., total sleep time, TST) in stage 1 from polysomnography\n",
" nsrr_pctdursp_s2 - Percentage of total sleep duration (i.e., total sleep time, TST) in stage 2 from polysomnography\n",
" nsrr_pctdursp_s3 - Percentage of total sleep duration (i.e., total sleep time, TST) in stage 3/4 from polysomnography\n",
" nsrr_pctdursp_sr - Percentage of total sleep duration (i.e., total sleep time, TST) in REM from polysomnography\n",
" nsrr_tib_f1 - Total In-bed Period: the interval between lights off/in-bed time and lights on/out-bed time from polysomnography\n",
" nsrr_tst_f1 - Total Sleep Duration: the interval between sleep onset and sleep offset while the participant is asleep from polysomnography\n",
" nsrr_ttldursp_s1sr - REM Sleep Latency: the interval between the first sleep epoch and REM sleep excluding wake\n",
" nsrr_ttleffsp_f1 - Sleep Efficiency: the ratio of total sleep duration (i.e., total sleep time) to in-bed period (i.e., time in bed) from polysomnography\n",
" nsrr_ttllatsp_f1 - Sleep Latency: the interval between lights-out/in-bed time and sleep onset from polysomnography\n",
" nsrr_ttlmefsp_f1 - Sleep Maintenance Efficiency: the proportion of total sleep duration (i.e., total sleep time) in sleep period (i.e., interval between sleep onset and offset including wake) from polysomnography\n",
" nsrr_ttlprdsp_s1sr - REM Sleep Latency: the interval between the first sleep epoch and REM sleep including wake\n",
" nsrr_waso_f1 - Wake After Sleep Onset: the total duration being awake between sleep onset and lights-on/out-bed time from polysomnography\n",
" cursmk5 - Smoked cigarettes in last 30 days\n",
" smkstat5 - Current smoking status\n",
" avg24hrsleep5 - Average daily total sleep duration in main sleep and naps combined in all days from actigraphy\n",
" avg24hrsleepnw5 - Average daily total sleep duration in main sleep and naps combined in non-workdays from actigraphy\n",
" avg24hrsleepwd5 - Average daily total sleep duration in main sleep and naps combined in weekdays from actigraphy\n",
" avg24hrsleepwe5 - Average daily total sleep duration in main sleep and naps combined in weekends from actigraphy\n",
" avg24hrsleepwo5 - Average daily total sleep duration in main sleep and naps combined in workdays from actigraphy\n",
" avgbluetalt5 - Average blue light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in all days from actigraphy\n",
" avgbluetaltnw5 - Average blue light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in non-workdays from actigraphy\n",
" avgbluetaltwd5 - Average blue light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in weekdays from actigraphy\n",
" avgbluetaltwe5 - Average blue light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in weekends from actigraphy\n",
" avgbluetaltwo5 - Average blue light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in workdays from actigraphy\n",
" avgefficiency5 - Average daily sleep efficiency in all days from actigraphy\n",
" avgefficiencynw5 - Average daily sleep efficiency in non-workdays from actigraphy\n",
" avgefficiencywd5 - Average daily sleep efficiency in weekdays from actigraphy\n",
" avgefficiencywe5 - Average daily sleep efficiency in weekends from actigraphy\n",
" avgefficiencywo5 - Average daily sleep efficiency in workdays from actigraphy\n",
" avgfragmentation5 - Average daily total sleep fragmentation index in main sleep in all days from actigraphy\n",
" avgfragmentationnw5 - Average daily total sleep fragmentation index in main sleep in non-workdays from actigraphy\n",
" avgfragmentationwd5 - Average daily total sleep fragmentation index in main sleep in weekdays from actigraphy\n",
" avgfragmentationwe5 - Average daily total sleep fragmentation index in main sleep in weekends from actigraphy\n",
" avgfragmentationwo5 - Average daily total sleep fragmentation index in main sleep in workdays from actigraphy\n",
" avggreentalt5 - Average green light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in all days from actigraphy\n",
" avggreentaltnw5 - Average green light time above 1,000 microwatts per square centimeter threshold over 24-hour periods non-workdays from actigraphy\n",
" avggreentaltwd5 - Average green light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in weekdays from actigraphy\n",
" avggreentaltwe5 - Average green light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in weekends from actigraphy\n",
" avggreentaltwo5 - Average green light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in workdays from actigraphy\n",
" avginbedduration5 - Average daily duration of rest period in all days from actigraphy\n",
" avginbeddurationnw5 - Average daily duration of rest period in non-workdays from actigraphy\n",
" avginbeddurationwd5 - Average daily duration of rest period in weekdays from actigraphy\n",
" avginbeddurationwe5 - Average daily duration of rest period in weekends from actigraphy\n",
" avginbeddurationwo5 - Average daily duration of rest period in workdays from actigraphy\n",
" avginbedtime5 - Average daily start time for rest period in all days from actigraphy\n",
" avginbedtimenw5 - Average daily start time for rest period in non-workdays from actigraphy\n",
" avginbedtimewd5 - Average daily start time for rest period in weekdays from actigraphy\n",
" avginbedtimewe5 - Average daily start time for rest period in weekends from actigraphy\n",
" avginbedtimewo5 - Average daily start time for rest period in workdays from actigraphy\n",
" avginbedwake5 - Average daily duration of wake in bed in all days from actigraphy\n",
" avginbedwakenw5 - Average daily duration of wake in bed in non-workdays from actigraphy\n",
" avginbedwakewd5 - Average daily duration of wake in bed in weekdays from actigraphy\n",
" avginbedwakewe5 - Average daily duration of wake in bed in weekends from actigraphy\n",
" avginbedwakewo5 - Average daily duration of wake in bed in workdays from actigraphy\n",
" avgmainsleep5 - Average daily total sleep duration in main sleep in all days from actigraphy\n",
" avgmainsleepnw5 - Average daily total sleep duration in main sleep in non-workdays from actigraphy\n",
" avgmainsleepwd5 - Average daily total sleep duration in main sleep in weekdays from actigraphy\n",
" avgmainsleepwe5 - Average daily total sleep duration in main sleep in weekends from actigraphy\n",
" avgmainsleepwo5 - Average daily total sleep duration in main sleep in workdays from actigraphy\n",
" avgmainteff5 - Average daily sleep maintenance efficiency in all days from actigraphy\n",
" avgmainteffnw5 - Average daily sleep maintenance efficiency in non-workdays from actigraphy\n",
" avgmainteffwd5 - Average daily sleep maintenance efficiency in weekdays from actigraphy\n",
" avgmainteffwe5 - Average daily sleep maintenance efficiency in weekends from actigraphy\n",
" avgmainteffwo5 - Average daily sleep maintenance efficiency in workdays from actigraphy\n",
" avgnnapsall5 - Average daily number of naps in all days from actigraphy\n",
" avgnnapsallnw5 - Average daily number of naps in non-workdays from actigraphy\n",
" avgnnapsallwd5 - Average daily number of naps in weekdays from actigraphy\n",
" avgnnapsallwe5 - Average daily number of naps in weekends from actigraphy\n",
" avgnnapsallwo5 - Average daily number of naps in workdays from actigraphy\n",
" avgnnapssleep155 - Average daily number of naps (>= 15 minutes) in all days from actigraphy\n",
" avgnnapssleep15nw5 - Average daily number of naps (>= 15 minutes) in non-workdays from actigraphy\n",
" avgnnapssleep15wd5 - Average daily number of naps (>= 15 minutes) in weekdays from actigraphy\n",
" avgnnapssleep15we5 - Average daily number of naps (>= 15 minutes) in weekends from actigraphy\n",
" avgnnapssleep15wo5 - Average daily number of naps (>= 15 minutes) in workdays from actigraphy\n",
" avgnnapssleep5 - Average daily number of naps (with some sleep are counted) in all days from actigraphy\n",
" avgnnapssleepnw5 - Average daily number of naps (with some sleep are counted) in non-workdays from actigraphy\n",
" avgnnapssleepwd5 - Average daily number of naps (with some sleep are counted) in weekdays from actigraphy\n",
" avgnnapssleepwe5 - Average daily number of naps (with some sleep are counted) in weekends from actigraphy\n",
" avgnnapssleepwo5 - Average daily number of naps (with some sleep are counted) in workdays from actigraphy\n",
" avgonsetlatency5 - Average daily sleep onset latency in all days from actigraphy\n",
" avgonsetlatencynw5 - Average daily sleep onset latency in non-workdays from actigraphy\n",
" avgonsetlatencywd5 - Average daily sleep onset latency in weekdays from actigraphy\n",
" avgonsetlatencywe5 - Average daily sleep onset latency in weekends from actigraphy\n",
" avgonsetlatencywo5 - Average daily sleep onset latency in workdays from actigraphy\n",
" avgoutbedtime5 - Average daily end time for rest period in all days from actigraphy\n",
" avgoutbedtimenw5 - Average daily end time for rest period in non-workdays from actigraphy\n",
" avgoutbedtimewd5 - Average daily end time for rest period in weekdays from actigraphy\n",
" avgoutbedtimewe5 - Average daily end time for rest period in weekends from actigraphy\n",
" avgoutbedtimewo5 - Average daily end time for rest period in workdays from actigraphy\n",
" avgredtalt5 - Average red light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in all days from actigraphy\n",
" avgredtaltnw5 - Average red light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in non-workdays from actigraphy\n",
" avgredtaltwd5 - Average red light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in weekdays from actigraphy\n",
" avgredtaltwe5 - Average red light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in weekends from actigraphy\n",
" avgredtaltwo5 - Average red light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in workdays from actigraphy\n",
" avgrestmidpoint5 - Average daily midpoint for rest period in main sleep in all days from actigraphy\n",
" avgrestmidpointnw5 - Average daily midpoint for rest period in main sleep in non-workdays from actigraphy\n",
" avgrestmidpointwd5 - Average daily midpoint for rest period in main sleep in weekdays from actigraphy\n",
" avgrestmidpointwe5 - Average daily midpoint for rest period in main sleep in weekends from actigraphy\n",
" avgrestmidpointwo5 - Average daily midpoint for rest period in main sleep in workdays from actigraphy\n",
" avgsleepbouts5 - Average daily number of sleep bouts in main sleep in all days from actigraphy\n",
" avgsleepboutsnw5 - Average daily number of sleep bouts in main sleep in non-workdays from actigraphy\n",
" avgsleepboutswd5 - Average daily number of sleep bouts in main sleep in weekdays from actigraphy\n",
" avgsleepboutswe5 - Average daily number of sleep bouts in main sleep in weekends from actigraphy\n",
" avgsleepboutswo5 - Average daily number of sleep bouts in main sleep in workdays from actigraphy\n",
" avgsleepmidpoint5 - Average daily midpoint for sleep period in all days from actigraphy\n",
" avgsleepmidpointnw5 - Average daily midpoint for sleep period in non-workdays from actigraphy\n",
" avgsleepmidpointwd5 - Average daily midpoint for sleep period in weekdays from actigraphy\n",
" avgsleepmidpointwe5 - Average daily midpoint for sleep period in weekends from actigraphy\n",
" avgsleepmidpointwo5 - Average daily midpoint for sleep period in workdays from actigraphy\n",
" avgsleepnapdaily155 - Average daily total sleep duration in naps (>= 15 minutes) in all days from actigraphy\n",
"avgsleepnapdaily15nw5 - Average daily total sleep duration in naps (>= 15 minutes) in non-workdays from actigraphy\n",
"avgsleepnapdaily15wd5 - Average daily total sleep duration in naps (>= 15 minutes) in weekdays from actigraphy\n",
"avgsleepnapdaily15we5 - Average daily total sleep duration in naps (>= 15 minutes) in all weekends from actigraphy\n",
"avgsleepnapdaily15wo5 - Average daily total sleep duration in naps (>= 15 minutes) in workdays from actigraphy\n",
" avgsleepnapdaily5 - Average daily total sleep duration in naps (with some sleep are counted) in all days from actigraphy\n",
" avgsleepnapdailyrd5 - Average daily total sleep duration in naps (with some sleep are counted) in non-workdays from actigraphy\n",
" avgsleepnapdailywd5 - Average daily total sleep duration in naps (with some sleep are counted) in weekdays from actigraphy\n",
" avgsleepnapdailywe5 - Average daily total sleep duration in naps (with some sleep are counted) in all weekends from actigraphy\n",
" avgsleepnapdailywo5 - Average daily total sleep duration in naps (with some sleep are counted) in workdays from actigraphy\n",
" avgsleepnapsall5 - Average sleep duration per nap in all days from actigraphy\n",
" avgsleepnapsallnw5 - Average sleep duration per nap in non-workdays from actigraphy\n",
" avgsleepnapsallwd5 - Average sleep duration per nap in weekdays from actigraphy\n",
" avgsleepnapsallwe5 - Average sleep duration per nap in weekends from actigraphy\n",
" avgsleepnapsallwo5 - Average sleep duration per nap in workdays from actigraphy\n",
"avgsleepnapssleep155 - Average sleep duration per nap (>= 15 minutes) in all days from actigraphy\n",
"avgsleepnapssleep15nw5 - Average sleep duration per nap (>= 15 minutes) in non-workdays from actigraphy\n",
"avgsleepnapssleep15wd5 - Average sleep duration per nap (>= 15 minutes) in weekdays from actigraphy\n",
"avgsleepnapssleep15we5 - Average sleep duration per nap (>= 15 minutes) in weekends from actigraphy\n",
"avgsleepnapssleep15wo5 - Average sleep duration per nap (>= 15 minutes) in workdays from actigraphy\n",
" avgsleepnapssleep5 - Average sleep duration per nap (with some sleep are counted) in all days from actigraphy\n",
"avgsleepnapssleepnw5 - Average sleep duration per nap (with some sleep are counted) in non-workdays from actigraphy\n",
"avgsleepnapssleepwd5 - Average sleep duration per nap (with some sleep are counted) in weekdays from actigraphy\n",
"avgsleepnapssleepwe5 - Average sleep duration per nap (with some sleep are counted) in weekends from actigraphy\n",
"avgsleepnapssleepwo5 - Average sleep duration per nap (with some sleep are counted) in workdays from actigraphy\n",
" avgsleepoffsettime5 - Average daily sleep offset time in all days from actigraphy\n",
"avgsleepoffsettimenw5 - Average daily sleep offset time in non-workdays from actigraphy\n",
"avgsleepoffsettimewd5 - Average daily sleep offset time in weekdays from actigraphy\n",
"avgsleepoffsettimewe5 - Average daily sleep offset time in weekends from actigraphy\n",
"avgsleepoffsettimewo5 - Average daily sleep offset time in workdays from actigraphy\n",
" avgsleeponsettime5 - Average daily sleep onset time in all days from actigraphy\n",
"avgsleeponsettimenw5 - Average daily sleep onset time in non-workdays from actigraphy\n",
"avgsleeponsettimewd5 - Average daily sleep onset time in weekdays from actigraphy\n",
"avgsleeponsettimewe5 - Average daily sleep onset time in weekends from actigraphy\n",
"avgsleeponsettimewo5 - Average daily sleep onset time in workdays from actigraphy\n",
"avgsleepperiodduration5 - Average daily sleep period in all days from actigraphy\n",
"avgsleepperioddurationnw5 - Average daily sleep period in non-workdays from actigraphy\n",
"avgsleepperioddurationwd5 - Average daily sleep period in weekdays from actigraphy\n",
"avgsleepperioddurationwe5 - Average daily sleep period in weekends from actigraphy\n",
"avgsleepperioddurationwo5 - Average daily sleep period in workdays from actigraphy\n",
" avgsnooze5 - Average daily duration of wake after sleep offset in all days from actigraphy\n",
" avgsnoozenw5 - Average daily duration of wake after sleep offset in non-workdays from actigraphy\n",
" avgsnoozewd5 - Average daily duration of wake after sleep offset in weekdays from actigraphy\n",
" avgsnoozewe5 - Average daily duration of wake after sleep offset in weekends from actigraphy\n",
" avgsnoozewo5 - Average daily duration of wake after sleep offset in workdays from actigraphy\n",
" avgwakebouts5 - Average daily number of wake bouts in main sleep in all days from actigraphy\n",
" avgwakeboutsnw5 - Average daily number of wake bouts in main sleep in non-workdays from actigraphy\n",
" avgwakeboutswd5 - Average daily number of wake bouts in main sleep in weekdays from actigraphy\n",
" avgwakeboutswe5 - Average daily number of wake bouts in main sleep in weekends from actigraphy\n",
" avgwakeboutswo5 - Average daily number of wake bouts in main sleep in workdays from actigraphy\n",
" avgwaso5 - Average daily duration of wake after sleep onset (waso) in all days from actigraphy\n",
" avgwasonw5 - Average daily duration of wake after sleep onset (waso) in non-workdays from actigraphy\n",
" avgwasowd5 - Average daily duration of wake after sleep onset (waso) in weekdays from actigraphy\n",
" avgwasowe5 - Average daily duration of wake after sleep onset (waso) in weekends from actigraphy\n",
" avgwasowo5 - Average daily duration of wake after sleep onset (waso) in workdays from actigraphy\n",
" avgwhitetalt5 - Average whte light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in all days from actigraphy\n",
" avgwhitetaltnw5 - Average whte light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in non-workdays from actigraphy\n",
" avgwhitetaltwd5 - Average whte light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in weekdays from actigraphy\n",
" avgwhitetaltwe5 - Average whte light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in weekends from actigraphy\n",
" avgwhitetaltwo5 - Average whte light time above 1,000 microwatts per square centimeter threshold over 24-hour periods in workdays from actigraphy\n",
" diarycomplete5 - Actigraphy QS: Diary Completeness\n",
" diarypresent5 - Actigraphy QS: Diary Present\n",
" dstoverlap5 - Study Overlaps With Daylight Saving Time Start (March) Or End (November)\n",
" epochlength5 - Original Epoch Length For Processed Actigraphy Study (Seconds)\n",
" ndays5 - Total number of days with sleep data in the entire actigraphy recording period in all days from actigraphy\n",
" ndaysnapsall5 - Total number of days with naps in the entire actigraphy recording period in all days from actigraphy\n",
" ndaysnapsallnw5 - Total number of days with naps in the entire actigraphy recording period in non-workdays from actigraphy\n",
" ndaysnapsallwd5 - Total number of days with naps in the entire actigraphy recording period in weekdays from actigraphy\n",
" ndaysnapsallwe5 - Total number of days with naps in the entire actigraphy recording period in weekends from actigraphy\n",
" ndaysnapsallwo5 - Total number of days with naps in the entire actigraphy recording period in workdays from actigraphy\n",
" ndaysnapssleep155 - Total number of days with naps (>= 15 minutes) in the entire actigraphy recording period in all days from actigraphy\n",
" ndaysnapssleep15nw5 - Total number of days with naps (>= 15 minutes) in the entire actigraphy recording period in non-workdays from actigraphy\n",
" ndaysnapssleep15wd5 - Total number of days with naps (>= 15 minutes) in the entire actigraphy recording period in weekdays from actigraphy\n",
" ndaysnapssleep15we5 - Total number of days with naps (>= 15 minutes) in the entire actigraphy recording period in weekends from actigraphy\n",
" ndaysnapssleep15wo5 - Total number of days with naps (>= 15 minutes) in the entire actigraphy recording period in workdays from actigraphy\n",
" ndaysnapssleep5 - Total number of days with naps (with some sleep are counted) in the entire actigraphy recording period in all days from actigraphy\n",
" ndaysnapssleepnw5 - Total number of days with naps (with some sleep are counted) in the entire actigraphy recording period in non-workdays from actigraphy\n",
" ndaysnapssleepwd5 - Total number of days with naps (with some sleep are counted) in the entire actigraphy recording period in weekdays from actigraphy\n",
" ndaysnapssleepwe5 - Total number of days with naps (with some sleep are counted) in the entire actigraphy recording period in weekends from actigraphy\n",
" ndaysnapssleepwo5 - Total number of days with naps (with some sleep are counted) in the entire actigraphy recording period in workdays from actigraphy\n",
" ndaysnw5 - Total number of days with sleep data in the entire actigraphy recording period in non-workdays from actigraphy\n",
" ndayswd5 - Total number of days with sleep data in the entire actigraphy recording period in weekdays from actigraphy\n",
" ndayswe5 - Total number of days with sleep data in the entire actigraphy recording period in weekends from actigraphy\n",
" ndayswo5 - Total number of days with sleep data in the entire actigraphy recording period in workdays from actigraphy\n",
" nightsinvalid5 - Actigraphy QS: # of Invalid Nights\n",
" nightsrec5 - Actigraphy QS: # of Nights Recorded\n",
" nightsvalid5 - Actigraphy QS: # of Valid Nights\n",
" overallqual5 - Actigraphy QS: Overall Quality Grading (QS)\n",
" sd24hrsleep5 - Standard deviation of daily total sleep duration in main sleep and naps combined in all days from actigraphy\n",
" sd24hrsleepnw5 - Standard deviation of daily total sleep duration in main sleep and naps combined in non-workdays from actigraphy\n",
" sd24hrsleepwd5 - Standard deviation of daily total sleep duration in main sleep and naps combined in weekdays from actigraphy\n",
" sd24hrsleepwe5 - Standard deviation of daily total sleep duration in main sleep and naps combined in weekends from actigraphy\n",
" sd24hrsleepwo5 - Standard deviation of daily total sleep duration in main sleep and naps combined in workdays from actigraphy\n",
" sdefficiency5 - Standard deviation of the daily sleep efficiency in all days from actigraphy\n",
" sdefficiencynw5 - Standard deviation of the daily sleep efficiency in non-workdays from actigraphy\n",
" sdefficiencywd5 - Standard deviation of the daily sleep efficiency in weekdays from actigraphy\n",
" sdefficiencywe5 - Standard deviation of the daily sleep efficiency in weekends from actigraphy\n",
" sdefficiencywo5 - Standard deviation of the daily sleep efficiency in workdays from actigraphy\n",
" sdinbedduration5 - Standard deviation of daily rest period in all days from actigraphy\n",
" sdinbeddurationnw5 - Standard deviation of daily rest period in non-workdays from actigraphy\n",
" sdinbeddurationwd5 - Standard deviation of daily rest period in weekdays from actigraphy\n",
" sdinbeddurationwe5 - Standard deviation of daily rest period in weekends from actigraphy\n",
" sdinbeddurationwo5 - Standard deviation of daily rest period in workdays from actigraphy\n",
" sdinbedtime5 - Standard deviation of the daily start time for rest period in all days from actigraphy\n",
" sdinbedtimenw5 - Standard deviation of the daily start time for rest period in non-workdays from actigraphy\n",
" sdinbedtimewd5 - Standard deviation of the daily start time for rest period in weekdays from actigraphy\n",
" sdinbedtimewe5 - Standard deviation of the daily start time for rest period in weekends from actigraphy\n",
" sdinbedtimewo5 - Standard deviation of the daily start time for rest period in workdays from actigraphy\n",
" sdmainsleep5 - Standard deviation of daily total sleep duration in main sleep in all days from actigraphy\n",
" sdmainsleepnw5 - Standard deviation of daily total sleep duration in main sleep in non-workdays from actigraphy\n",
" sdmainsleepwd5 - Standard deviation of daily total sleep duration in main sleep in weekdays from actigraphy\n",
" sdmainsleepwe5 - Standard deviation of daily total sleep duration in main sleep in weekends from actigraphy\n",
" sdmainsleepwo5 - Standard deviation of daily total sleep duration in main sleep in workdays from actigraphy\n",
" sdmainteff5 - Standard deviation of the daily sleep maintenance efficiency in all days from actigraphy\n",
" sdmainteffnw5 - Standard deviation of the daily sleep maintenance efficiency in non-workdays from actigraphy\n",
" sdmainteffwd5 - Standard deviation of the daily sleep maintenance efficiency in weekdays from actigraphy\n",
" sdmainteffwe5 - Standard deviation of the daily sleep maintenance efficiency in weekends from actigraphy\n",
" sdmainteffwo5 - Standard deviation of the daily sleep maintenance efficiency in workdays from actigraphy\n",
" sdoutbedtime5 - Standard deviation of the daily end time for rest period in all days from actigraphy\n",
" sdoutbedtimenw5 - Standard deviation of the daily end time for rest period in non-workdays from actigraphy\n",
" sdoutbedtimewd5 - Standard deviation of the daily end time for rest period in weekdays from actigraphy\n",
" sdoutbedtimewe5 - Standard deviation of the daily end time for rest period in weekends from actigraphy\n",
" sdoutbedtimewo5 - Standard deviation of the daily end time for rest period in workdays from actigraphy\n",
" sdrestmidpoint5 - Standard deviation of the daily midpoint for rest period in main sleep in all days from actigraphy\n",
" sdrestmidpointnw5 - Standard deviation of the daily midpoint for rest period in main sleep in non-workdays from actigraphy\n",
" sdrestmidpointwd5 - Standard deviation of the daily midpoint for rest period in main sleep in weekdays from actigraphy\n",
" sdrestmidpointwe5 - Standard deviation of the daily midpoint for rest period in main sleep in weekends from actigraphy\n",
" sdrestmidpointwo5 - Standard deviation of the daily midpoint for rest period in main sleep in workdays from actigraphy\n",
" sdsleepmidpoint5 - Standard deviation of the daily midpoint for sleep period in all days from actigraphy\n",
" sdsleepmidpointnw5 - Standard deviation of the daily midpoint for sleep period in non-workdays from actigraphy\n",
" sdsleepmidpointwd5 - Standard deviation of the daily midpoint for sleep period in weekdays from actigraphy\n",
" sdsleepmidpointwe5 - Standard deviation of the daily midpoint for sleep period in weekends from actigraphy\n",
" sdsleepmidpointwo5 - Standard deviation of the daily midpoint for sleep period in workdays from actigraphy\n",
" sdsleepoffsettime5 - Standard deviation of daily sleep offset time in all days from actigraphy\n",
"sdsleepoffsettimenw5 - Standard deviation of daily sleep offset time in non-workdays from actigraphy\n",
"sdsleepoffsettimewd5 - Standard deviation of daily sleep offset time in weekdays from actigraphy\n",
"sdsleepoffsettimewe5 - Standard deviation of daily sleep offset time in weekends from actigraphy\n",
"sdsleepoffsettimewo5 - Standard deviation of daily sleep offset time in workdays from actigraphy\n",
" sdsleeponsettime5 - Standard deviation of the daily sleep onset time in all days from actigraphy\n",
" sdsleeponsettimenw5 - Standard deviation of the daily sleep onset time in non-workdays from actigraphy\n",
" sdsleeponsettimewd5 - Standard deviation of the daily sleep onset time in weekdays from actigraphy\n",
" sdsleeponsettimewe5 - Standard deviation of the daily sleep onset time in weekends from actigraphy\n",
" sdsleeponsettimewo5 - Standard deviation of the daily sleep onset time in workdays from actigraphy\n",
"sdsleepperiodduration5 - Standard deviation of daily sleep period in all days from actigraphy\n",
"sdsleepperioddurationnw5 - Standard deviation of daily sleep period in non-workdays from actigraphy\n",
"sdsleepperioddurationwd5 - Standard deviation of daily sleep period in weekdays from actigraphy\n",
"sdsleepperioddurationwe5 - Standard deviation of daily sleep period in weekends from actigraphy\n",
"sdsleepperioddurationwo5 - Standard deviation of daily sleep period in workdays from actigraphy\n",
" sleepjournal5 - Actigraphy QS: Sleep Journal Received\n",
" stdyady5c - Actigraphy QS: Days From Exam 5 To Study Date\n",
" timeend5 - Actigraphy QS: Data Collection End Time\n",
" timestart5 - Actigraphy QS: Data Collection Start Time\n",
" haveact5 - MESA Sleep: Has Actigraphy Data (5+ Valid Nights) from type II polysomnography\n",
" havepsg5 - MESA Sleep: Has PSG Data (Passed Overnight Study) from type II polysomnography\n",
" match5 - MESA Sleep: PSG/Actigraphy Start Dates Match (I.E. No Failures; Tests Were Concurrent) from type II polysomnography\n",
" scorerid5 - PSG Report: Scorer ID from type II polysomnography\n",
" stdypdy5c - PSG QS: Days From Exam 5 To Study Date from type II polysomnography\n",
" ahi4p_nrem5 - Apnea-Hypopnea Index (NREM): (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of NREM sleep from type II polysomnography\n",
" ahi4p_nsup5 - Apnea-Hypopnea Index (Non-Supine): (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of sleep in non-supine position from type II polysomnography\n",
" ahi4p_rem5 - Apnea-Hypopnea Index (REM): (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of REM sleep from type II polysomnography\n",
" ahi4p_sup5 - Apnea-Hypopnea Index (Supine): (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of sleep in supine position from type II polysomnography\n",
" ahi4pa_nrem5 - Apnea-Hypopnea Index (NREM): (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of NREM sleep from type II polysomnography\n",
" ahi4pa_nsup5 - Apnea-Hypopnea Index (Non-Supine): (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of sleep in non-supine position from type II polysomnography\n",
" ahi4pa_rem5 - Apnea-Hypopnea Index (REM): (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of REM sleep from type II polysomnography\n",
" ahi4pa_sup5 - Apnea-Hypopnea Index (Supine): (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of sleep in supine position from type II polysomnography\n",
" ahi_a0h3 - Apnea-Hypopnea Index: (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation and with or without arousal) / hour of sleep from type II polysomnography\n",
" ahi_a0h3a - Apnea-Hypopnea Index: (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of sleep from type II polysomnography\n",
" ahi_a0h4 - Apnea-Hypopnea Index: (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of sleep from type II polysomnography\n",
" ahi_a0h4a - Apnea-Hypopnea Index: (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of sleep from type II polysomnography\n",
" ahi_c0h3 - Central Apnea-Hypopnea Index: (Central apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation and with or without arousal) / hour of sleep from type II polysomnography\n",
" ahi_c0h3a - Central Apnea-Hypopnea Index: (Central apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of sleep from type II polysomnography\n",
" ahi_c0h4 - Central Apnea-Hypopnea Index: (Central apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of sleep from type II polysomnography\n",
" ahi_c0h4a - Central Apnea-Hypopnea Index: (Central apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of sleep from type II polysomnography\n",
" ahi_o0h3 - Obstructive Apnea-Hypopnea Index: (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation and with or without arousal) / hour of sleep from type II polysomnography\n",
" ahi_o0h3a - Obstructive Apnea-Hypopnea Index: (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of sleep from type II polysomnography\n",
" ahi_o0h4 - Obstructive Apnea-Hypopnea Index: (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of sleep from type II polysomnography\n",
" ahi_o0h4a - Obstructive Apnea-Hypopnea Index: (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of sleep from type II polysomnography\n",
" ahiu35 - Apnea-Hypopnea Index: (Apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation and with or without arousal) / hour of sleep from type II polysomnography\n",
" cai0p5 - Central Apnea Index: (Central apneas with no oxygen desaturation threshold used and with or without arousal) / hour of sleep from type II polysomnography\n",
" cai0p_nrem5 - Central Apnea Index (NREM): (Central apneas with no oxygen desaturation threshold used and with or without arousal) / hour of NREM sleep from type II polysomnography\n",
" cai0p_nsup5 - Central Apnea Index (Non-Supine): (Central apeneas with no oxygen desaturation threshold used and with or without arousal) / hour of sleep in non-supine position from type II polysomnography\n",
" cai0p_rem5 - Central Apnea Index (REM): (Central apneas with no oxygen desaturation threshold used and with or without arousal) / hour of REM sleep from type II polysomnography\n",
" cai0p_sup5 - Central Apnea Index (Supine): (Central apeneas with no oxygen desaturation threshold used and with or without arousal) / hour of sleep in supine position from type II polysomnography\n",
" cai4p5 - Central Apnea Index: (Central apneas with >= 4% oxygen desaturation threshold used and with or without arousal) / hour of sleep from type II polysomnography\n",
" cai4pa5 - Central Apnea Index: (Central apneas with >= 4% oxygen desaturation threshold used or with arousal) / hour of sleep from type II polysomnography\n",
" cardnba35 - Central Apnea Index (NREM, Supine): (Central apneas with >= 3% oxygen desaturation or with arousal) / hour of NREM sleep in supine position from type II polysomnography\n",
" cardnba5 - Central Apnea Index (NREM, Supine): (Central apneas with no oxygen desaturation threshold used only with arousal) / hour of NREM sleep in supine position from type II polysomnography\n",
" cardnbp5 - Central Apnea Index (NREM, Supine): (Central apneas with no oxygen desaturation threshold used and with or without arousal) / hour of NREM sleep in supine position from type II polysomnography\n",
" cardnoa35 - Central Apnea Index (NREM, Non-Supine): (Central apneas with >= 3% oxygen desaturation or with arousal) / hour of NREM sleep in non-supine position from type II polysomnography\n",
" cardnoa5 - Central Apnea Index (NREM, Non-Supine): (Central apneas with no oxygen desaturation threshold used only with arousal) / hour of NREM sleep in non-supine position from type II polysomnography\n",
" cardnop5 - Central Apnea Index (NREM, Non-Supine): (Central apneas with no oxygen desaturation threshold used and with or without arousal) / hour of NREM sleep in non-supine position from type II polysomnography\n",
" cardrba35 - Central Apnea Index (REM, Supine): (Central apneas with >= 3% oxygen desaturation threshold or with arousal) / hour of REM sleep in supine position from type II polysomnography\n",
" cardrba5 - Central Apnea Index (REM, Supine): (Central apneas with no oxygen desaturation threshold used only with arousal) / hour of REM sleep in supine position from type II polysomnography\n",
" cardrbp5 - Central Apnea Index (REM, Supine): (Central apneas with no oxygen desaturation threshold used and with or without arousal) / hour of REM sleep in supine position from type II polysomnography\n",
" cardroa35 - Central Apnea Index (REM, Non-Supine): (Central apneas with >= 3% oxygen desaturation or with arousal) / hour of REM sleep in non-supine position from type II polysomnography\n",
" cardroa5 - Central Apnea Index (REM, Non-Supine): (Central apneas with no oxygen desaturation threshold used only with arousal) / hour of REM sleep in non-supine position from type II polysomnography\n",
" cardrop5 - Central Apnea Index (REM, Non-Supine): (Central apneas with no oxygen desaturation threshold used and with or without arousal) / hour of REM sleep in non-supine position from type II polysomnography\n",
" hunrbp5 - Hypopnea Index (NREM, Supine): (Hypopneas with > 50% flow reduction and no oxygen desaturation threshold used and with or without arousal) / hour of NREM sleep in supine position from type II polysomnography\n",
" hunrbpa35 - Hypopnea Index (NREM, Supine): (Hypopneas with > 50% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of NREM sleep in supine position from type II polysomnography\n",
" hunrbpa5 - Hypopnea Index (NREM, Supine): (Hypopneas with > 50% flow reduction and no oxygen desaturation threshold used or with arousal) / hour of NREM sleep in supine position from type II polysomnography\n",
" hunrop5 - Hypopnea Index (NREM, Non-Supine): (Hypopneas with > 50% flow reduction and no oxygen desaturation threshold used and with or without arousal) / hour of NREM sleep in non-supine position from type II polysomnography\n",
" hunropa35 - Hypopnea Index (NREM, Non-Supine): (Hypopneas with > 50% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of NREM sleep in non-supine position from type II polysomnography\n",
" hunropa5 - Hypopnea Index (NREM, Non-Supine): (Hypopneas with > 50% flow reduction and no oxygen desaturation threshold used or with arousal) / hour of NREM sleep in non-supine position from type II polysomnography\n",
" hurbp25 - Hypopnea Index (REM, Supine): (Hypopneas with > 50% flow reduction and >= 2% oxygen desaturation and with or without arousal) / hour of REM sleep in supine position from type II polysomnography\n",
" hurbp5 - Hypopnea Index (REM, Supine): (Hypopneas with > 50% flow reduction and no oxygen desaturation threshold used and with or without arousal) / hour of REM sleep in supine position from type II polysomnography\n",
" hurbpa35 - Hypopnea Index (REM, Supine): (Hypopneas with > 50% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of REM sleep in supine position from type II polysomnography\n",
" hurbpa5 - Hypopnea Index (REM, Supine): (Hypopneas with > 50% flow reduction and no oxygen desaturation threshold used or with arousal) / hour of REM sleep in supine position from type II polysomnography\n",
" hurop5 - Hypopnea Index (REM, Non-Supine): (Hypopneas with > 50% flow reduction and no oxygen desaturation threshold used and with or without arousal) / hour of REM sleep in non-supine position from type II polysomnography\n",
" huropa35 - Hypopnea Index (REM, Non-Supine): (Hypopneas with > 50% flow reduction and >= 3%oxygen desaturation or with arousal) / hour of REM sleep in non-supine position from type II polysomnography\n",
" huropa5 - Hypopnea Index (REM, Non-Supine): (Hypopneas with > 50% flow reduction and no oxygen desaturation threshold used or with arousal) / hour of REM sleep in non-supine position from type II polysomnography\n",
" oahi35 - Obstructive Apnea Hypopnea Index: (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and no oxygen desaturation threshold used and with or without arousal) / hour of sleep from type II polysomnography\n",
" oahi3_nrem5 - Obstructive Apnea Hypopnea Index (NREM): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation and with or without arousal) / hour of NREM sleep from type II polysomnography\n",
" oahi3_nsup5 - Obstructive Apnea Hypopnea Index (Non-Supine): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation and with or without arousal) / hour of sleep in non-supine position from type II polysomnography\n",
" oahi3_rem5 - Obstructive Apnea Hypopnea Index (REM): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation and with or without arousal) / hour of REM sleep from type II polysomnography\n",
" oahi3_sup5 - Obstructive Apnea Hypopnea Index (Supine): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation and with or without arousal) / hour of sleep in supine position from type II polysomnography\n",
" oahi3pa5 - Obstructive Apnea Hypopnea Index: (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of sleep from type II polysomnography\n",
" oahi3pa_nrem5 - Obstructive Apnea Hypopnea Index (NREM): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of NREM sleep from type II polysomnography\n",
" oahi3pa_nsup5 - Obstructive Apnea Hypopnea Index (Non-Supine): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of sleep in non-supine position from type II polysomnography\n",
" oahi3pa_rem5 - Obstructive Apnea Hypopnea Index (REM): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of REM sleep from type II polysomnography\n",
" oahi3pa_sup5 - Obstructive Apnea Hypopnea Index (Supine): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 3% oxygen desaturation or with arousal) / hour of sleep in supine position from type II polysomnography\n",
" oahi45 - Obstructive Apnea Hypopnea Index: (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of sleep from type II polysomnography\n",
" oahi4_nrem5 - Obstructive Apnea Hypopnea Index (NREM): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of NREM sleep from type II polysomnography\n",
" oahi4_nsup5 - Obstructive Apnea Hypopnea Index (Non-Supine): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of sleep in non-supine position from type II polysomnography\n",
" oahi4_rem5 - Obstructive Apnea Hypopnea Index (REM): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of REM sleep from type II polysomnography\n",
" oahi4_sup5 - Obstructive Apnea Hypopnea Index (Supine): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation and with or without arousal) / hour of sleep in supine position from type II polysomnography\n",
" oahi4pa5 - Obstructive Apnea Hypopnea Index: (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of sleep from type II polysomnography\n",
" oahi4pa_nrem5 - Obstructive Apnea Hypopnea Index (NREM): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of NREM sleep from type II polysomnography\n",
" oahi4pa_nsup5 - Obstructive Apnea Hypopnea Index (Non-Supine): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of sleep in non-supine position from type II polysomnography\n",
" oahi4pa_rem5 - Obstructive Apnea Hypopnea Index (REM): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of REM sleep from type II polysomnography\n",
" oahi4pa_sup5 - Obstructive Apnea Hypopnea Index (Supine): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with > 30% flow reduction and >= 4% oxygen desaturation or with arousal) / hour of sleep in supine position from type II polysomnography\n",
" oai0p5 - Obstructive Apnea Index: (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal) / hour of sleep from type II polysomnography\n",
" oai4p5 - Obstructive Apnea Index: (Obstructive apneas with >= 4% oxygen desaturation and with or without arousal) / hour of sleep from type II polysomnography\n",
" oardnba35 - Obstructive Apnea Index (NREM, Supine): (Obstructive apneas with >= 3% oxygen desaturation or with arousal) / hour of NREM sleep in supine position from type II polysomnography\n",
" oardnba5 - Obstructive Apnea Index (NREM, Supine): (Obstructive apneas with no oxygen desaturation threshold used only with arousal) / hour of NREM sleep in supine position from type II polysomnography\n",
" oardnbp5 - Obstructive Apnea Index (NREM, Supine): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal) / hour of NREM sleep in supine position from type II polysomnography\n",
" oardnoa35 - Obstructive Apnea Index (NREM, Non-Supine): (Obstructive apneas with >= 3% oxygen desaturation or with arousal) / hour of NREM sleep in non-supine position from type II polysomnography\n",
" oardnoa5 - Obstructive Apnea Index (NREM, Non-Supine): (Obstructive apneas with no oxygen desaturation threshold used only with arousal) / hour of NREM sleep in non-supine position from type II polysomnography\n",
" oardnop5 - Obstructive Apnea Index (NREM, Non-Supine): (Obstructive apneas with no oxygen desaturation threshold used and with or without arousal) / hour of NREM sleep in non-supine position from type II polysomnography\n",
" oardrba35 - Obstructive Apnea Index (REM, Supine): (Obstructive apneas with >= 3% oxygen desaturation or with arousal) / hour of REM sleep in supine position from type II polysomnography\n",
" oardrba5 - Obstructive Apnea Index (REM, Supine): (Obstructive apneas with no oxygen desaturation threshold used only with arousal) / hour of REM sleep in supine position from type II polysomnography\n",
" oardrbp5 - Obstructive Apnea Index (REM, Supine): (obstructive apneas with no oxygen desaturation threshold used and with or without arousal) / hour of REM sleep in supine position from type II polysomnography\n",
" oardroa35 - Obstructive Apnea Index (REM, Non-Supine): (Obstructive apneas with >= 3% oxygen desaturation or with arousal) / hour of REM sleep in non-supine position from type II polysomnography\n",
" oardroa5 - Obstructive Apnea Index (REM, Non-Supine): (Obstructive apneas with no oxygen desaturation threshold used only with arousal) / hour of REM sleep in non-supine position from type II polysomnography\n",
" ahnrembp5 - Arousal Index (NREM, Supine): Number of arousals per hour of NREM sleep in supine position from type II polysomnography\n",
" ahnremop5 - Arousal Index (NREM, Non-Supine): Number of arousals per hour of NREM sleep in non-supine position from type II polysomnography\n",
" ahrembp5 - Arousal Index (REM, Supine): Number of arousals per hour of REM sleep in supine position from type II polysomnography\n",
" ahremop5 - Arousal Index (REM, Non-Supine): Number of arousals per hour of REM sleep in non-supine position from type II polysomnography\n",
" ai_all5 - Arousal Index: Number of arousals per hour of sleep from type II polysomnography\n",
" ai_nrem5 - Arousal Index (NREM): Number of arousals per hour of NREM sleep from type II polysomnography\n",
" ai_rem5 - Arousal Index (REM): Number of arousals per hour of REM sleep from type II polysomnography\n",
" arnrembp5 - Total number of arousals during NREM sleep in supine position from type II polysomnography\n",
" arnremop5 - Total number of arousals during NREM sleep in non-supine position from type II polysomnography\n",
" arrembp5 - Total number of arousals during REM sleep in supine position from type II polysomnography\n",
" arremop5 - Total number of arousals during REM sleep in non-supine position from type II polysomnography\n",
" bpmavg5 - Average heart rate during total sleep duration from type II polysomnography\n",
" bpmmax5 - Maximum heart rate during total sleep duration from type II polysomnography\n",
" bpmmin5 - Minimum heart rate during total sleep duration from type II polysomnography\n",
" avgnplm5 - Number of periodic limb movements per hour of NREM sleep from type II polysomnography\n",
" avgplm5 - Number of periodic limb movements per hour of sleep from type II polysomnography\n",
" avgplma5 - Number of periodic limb movements with arousals per hour of sleep from type II polysomnography\n",
" avgrplm5 - Number of periodic limb movements per hour of REM sleep from type II polysomnography\n",
" noplm5 - Total number of periodic limb movements during total sleep duration from type II polysomnography\n",
" plmaslp5 - Number of periodic limb movements with arousal during total sleep duration from type II polysomnography\n",
" avdnbp5 - Average level of oxygen desaturation during NREM sleep in supine position from type II polysomnography\n",
" avdnop5 - Average level of oxygen desaturation during NREM sleep in non-supine position from type II polysomnography\n",
" avdrbp5 - Average level of oxygen desaturation during REM sleep in supine position from type II polysomnography\n",
" avdrop5 - Average level of oxygen desaturation during REM sleep in non-supine position from type II polysomnography\n",
" avgsat5 - Average level of oxygen saturation during total sleep duration from type II polysomnography\n",
" avsao2nh5 - Average level of oxygen saturation during NREM sleep from type II polysomnography\n",
" avsao2rh5 - Average level of oxygen saturation during REM sleep from type II polysomnography\n",
" dsnr25 - Number of oxygen desaturations with >= 2% desat per hour of NREM sleep from type II polysomnography\n",
" dsnr35 - Number of oxygen desaturations with >= 3% desat per hour of NREM sleep from type II polysomnography\n",
" dsnr45 - Number of oxygen desaturations with >= 4% desat per hour of NREM sleep from type II polysomnography\n",
" dsnr55 - Number of oxygen desaturations with >= 5% desat per hour of NREM sleep from type II polysomnography\n",
" dsrem25 - Number of oxygen desaturations with >= 2% desat per hour of REM sleep from type II polysomnography\n",
" dsrem35 - Number of oxygen desaturations with >= 3% desat per hour of REM sleep from type II polysomnography\n",
" dsrem45 - Number of oxygen desaturations with >= 4% desat per hour of REM sleep from type II polysomnography\n",
" dsrem55 - Number of oxygen desaturations with >= 5% desat per hour of REM sleep from type II polysomnography\n",
" dssao905 - Total number of oxygen desaturations with < 90% desat during total sleep duration from type II polysomnography\n",
" minsat5 - Minimum oxygen saturation during total sleep duration from type II polysomnography\n",
" mndnbp5 - Minimum oxygen saturation during NREM sleep in supine position from type II polysomnography\n",
" mndnop5 - Minimum oxygen saturation during NREM sleep in non-supine position from type II polysomnography\n",
" mndrbp5 - Minimum oxygen saturation during REM sleep in supine position from type II polysomnography\n",
" mndrop5 - Minimum oxygen saturation during REM sleep in non-supine position from type II polysomnography\n",
" mnsao2nh5 - Minimum oxygen saturation during NREM sleep from type II polysomnography\n",
" mnsao2rh5 - Minimum oxygen saturation during REM sleep from type II polysomnography\n",
" mxdnbp5 - Maximum oxygen desaturation during NREM sleep in supine position from type II polysomnography\n",
" mxdnop5 - Maximum oxygen desaturation during NREM sleep in non-supine position from type II polysomnography\n",
" mxdrbp5 - Maximum oxygen desaturation during REM sleep in supine position from type II polysomnography\n",
" mxdrop5 - Maximum oxygen desaturation during REM sleep in non-supine position from type II polysomnography\n",
" mxsao2nh5 - Maximum oxygen saturation during NREM sleep from type II polysomnography\n",
" mxsao2rh5 - Maximum oxygen saturation during REM sleep from type II polysomnography\n",
" ndes2ph5 - Total number of oxygen desaturations with >= 2% desat during total sleep duration from type II polysomnography\n",
" ndes3ph5 - Total number of oxygen desaturations with >= 3% desat during total sleep duration from type II polysomnography\n",
" ndes4ph5 - Total number of oxygen desaturations with >= 4% desat during total sleep duration from type II polysomnography\n",
" ndes5ph5 - Total number of oxygen desaturations with >= 5% desat during total sleep duration from type II polysomnography\n",
" odi35 - Oxygen Desaturation Index: Oxygen desaturation with >= 3% desat per hour of sleep from type II polysomnography\n",
" odi45 - Oxygen Desaturation Index: Oxygen desaturation with >= 4% desat per hour of sleep from type II polysomnography\n",
" pctle925 - Percent of total sleep duration with < 92% oxygen saturation from type II polysomnography\n",
" pctlt755 - Percent total sleep duration with below 75% oxygen saturation from type II polysomnography\n",
" pctlt805 - Percent total sleep duration with below 80% oxygen saturation from type II polysomnography\n",
" pctlt855 - Percent total sleep duration with below 85% oxygen saturation from type II polysomnography\n",
" pctlt905 - Percent total sleep duration with below 90% oxygen saturation from type II polysomnography\n",
" pctsa80h5 - Percent total sleep duration with below 80% oxygen saturation from type II polysomnography\n",
" pctsa85h5 - Percent total sleep duration with below 85% oxygen saturation from type II polysomnography\n",
" pctsa90h5 - Percent total sleep duration with below 90% oxygen saturation from type II polysomnography\n",
" pctsa95h5 - Percent total sleep duration with below 95% oxygen saturation from type II polysomnography\n",
" sao2nrem5 - Average level of oxygen saturation during NREM sleep from type II polysomnography\n",
" sao2rem5 - Average level of oxygen saturation during REM sleep from type II polysomnography\n",
" lgn - Overall instability (NREM)\n",
" apnea35 - Total number of apneas with >= 3% oxygen desaturation and with or without arousal during sleep from type II polysomnography\n",
" cent_obs_ratio - Ratio of the number of central apneas with no oxygen desaturation threshold used and with or without arousal to the number of obstructive apneas with no oxygen desaturation threshold used and with or without arousal from type II polysomnography\n",
" cent_obs_ratioa - Ratio of the number of central apneas with no oxygen desaturation threshold used or without arousal to the number of obstructive apneas with no oxygen desaturation threshold used or with arousal from type II polysomnography\n",
" oarop5 - Total number of obstructive apneas with no oxygen desaturation threshold used and with or without arousal during REM sleep in non-supine position from type II polysomnography\n",
" apavgdur5 - Average length of apnea with no oxygen desaturation threshold used and with or without arousal during sleep from type II polysomnography\n",
" cavgdur5 - Average length of central apneas with no oxygen desaturation threshold used and with or without arousal during sleep from type II polysomnography\n",
" havgdur5 - Average length of hypopneas with 30 - 50% flow reduction and no oxygen desaturation threshold used and with or without arousal from type II polysomnography\n",
" hbavgdur5 - Average length of hypopneas with > 30% flow reduction and no oxygen desaturation threshold used and with or without arousal from type II polysomnography\n",
" longap5 - Maximum length of apneas with no oxygen desaturation threshold used an with or without arousal from type II polysomnography\n",
" longhyp5 - Maximum length of hypopneas with 30 - 50% flow reduction and no oxygen desaturation threshold used and with or without arousal from type II polysomnography\n",
" longhypb5 - Maximun length of hypopneas with > 30% flow reduction and no oxygen desaturation threshold used and with or without arousal from type II polysomnography\n",
" oavgdur5 - Average length of obstructive apneas with no oxygen desaturation threshold and with or without arousal from type II polysomnography\n",
" pcohb3slp5 - Percentage of total sleep duration: (apneas with no oxygen desaturation threshold used and with or without arousal + hypopneas with > 30% flow reduction and > 3% oxygen desaturation and with or without arousal) from type II polysomnography\n",
" pcohb3waslp5 - Percentage of total sleep duration: (apneas with no oxygen desaturation threshold used and with or without arousal + hypopneas with > 30% flow reduction and > 3% oxygen desaturation or with arousal) from type II polysomnography\n",
" pcohbwaslp5 - Percentage of total sleep duration: (apneas with no oxygen desaturation threshold used and with or without arousal + hypopneas with > 30% flow reduction and with no oxygen desaturation threhold or with arousal) from type II polysomnography\n",
" pcoslp5 - Percentage of total sleep duration with apneas with no oxygen desaturation threshold used and with or without arousal from type II polysomnography\n",
" pcstah3d5 - Percentage of total sleep duration: (apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with 30 - 50% flow reduction and >= 3% oxygen desaturation and with or without arousal) from type II polysomnography\n",
" pcstahar5 - Percent total sleep duration with apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with 30 - 50% flow reduction and no oxygen desaturation threshold used or with arousal from type II polysomnography\n",
" pcstahda5 - Percentage of total sleep duration: (apneas with no oxygen desaturation threshold used and with or without arousal+ hypopneas with 30 - 50% flow reduction and >= 3% oxygen desaturation or with arousal) from type II polysomnography\n",
" pctsthyp5 - Percentage of total sleep duration with hypopneas with 30 - 50% flow reduction and no oxygen desaturation threshold used and with or without arousal from type II polysomnography\n",
" phbslp5 - Percentage of total sleep duration with hypopneas with > 30% flow reduction and with no oxygen desaturation threhold or with arousal from type II polysomnography\n",
" abdodur5 - Abdo Signal Duration (Hours) from type II polysomnography\n",
" abnoreeg5 - Abnormal Awake EEG from type II polysomnography\n",
" ahiov505 - Abnormal Referral - AHI> 50 from type II polysomnography\n",
" airdur5 - Airflow Signal Duration (Hours) from type II polysomnography\n",
" alpdel5 - Physiologic Alpha Intrusion from type II polysomnography\n",
" apnhyppr5 - Scoring Apnea/Hypopnea Unreliable from type II polysomnography\n",
" arsl3ou5 - Arousal Index < 3 Verified from type II polysomnography\n",
" arunrel5 - Scoring Arousals Unreliable from type II polysomnography\n",
" c4dur5 - Cz-Oz Signal Duration (Hours) EEG from type II polysomnography\n",
" casndur5 - Cannula Snore Signal Duration (Hours) from type II polysomnography\n",
" chestdur5 - Chest Signal Duration (Hours) from type II polysomnography\n",
" chindur5 - Chin (Lchin-Cchin) Signal Duration (Hours) from type II polysomnography\n",
" e1dur5 - E1 (Eogl) Signal Duration (Hours) from type II polysomnography\n",
" e2dur5 - E2 (Eogr) Signal Duration (Hours) from type II polysomnography\n",
" ecgdur5 - ECG Signal Duration (Hours) from type II polysomnography\n",
" fpz5 - Signal Quality Issues Found On Fpz Signal from type II polysomnography\n",
" fzm1dur5 - Fz-Cz Signal Duration (Hours) EEG from type II polysomnography\n",
" inhomepsgyn5 - PSG: Test Was Conducted In-Home 1=Yes from type II polysomnography\n",
" lagbreath5 - Periodic Large Breaths from type II polysomnography\n",
" lighoff5 - PSG QS: Participant Reported Time To Bed from type II polysomnography\n",
" limbdur5 - Limb Signal Duration (Hours) from type II polysomnography\n",
" losbeg5 - Data Lost At Beginning Of Study from type II polysomnography\n",
" losend5 - Data Lost At End Of Study from type II polysomnography\n",
" losoth5 - Data Lost During Study from type II polysomnography\n",
" m15 - Signal Quality Issues Found On M1 Signal from type II polysomnography\n",
" maxresou5 - Long Respiratory Events Verified from type II polysomnography\n",
" npflow5 - Flow Limitation from type II polysomnography\n",
" o2m1dur5 - C4-M1 Signal Duration (Hours) EEG from type II polysomnography\n",
" overall5 - Overall Study Quality Grade from type II polysomnography\n",
" oximdur5 - Spo2 Signal Duration (Hours) from type II polysomnography\n",
" period5 - Periodic Breathing >=10 Min from type II polysomnography\n",
" plethdur5 - Pleth Signal Duration (Hours) from type II polysomnography\n",
" plmou5 - PLM > 100 Verified from type II polysomnography\n",
" plmwake5 - Leg Movements In Wake from type II polysomnography\n",
" posn5 - Signal Quality Issues Found On Position Signal from type II polysomnography\n",
" quabdo5 - Abdo Signal Quality from type II polysomnography\n",
" quair5 - Airflow Signal Quality from type II polysomnography\n",
" quc45 - Cz-Oz Signal Quality-EEG Mismatched Variable Name And Label. Confirmed As \"Cz-Oz\" Signal from type II polysomnography\n",
" qucasn5 - Cannula Snore Signal Quality from type II polysomnography\n",
" quchest5 - Chest Signal Quality from type II polysomnography\n",
" quchin5 - Chin Signal Quality from type II polysomnography\n",
" que15 - E1 Signal Quality from type II polysomnography\n",
" que25 - E2 Signal Quality from type II polysomnography\n",
" quecg5 - ECG Signal Quality from type II polysomnography\n",
" qufzm15 - Fz-Cz Signal Quality - EEG - Mismatched Variable Name And Label. Confirmed As \"Fz-Cz\" Signal from type II polysomnography\n",
" qulimb5 - Limb Signal Quality from type II polysomnography\n",
" quo2m15 - C4-M1 Signal Quality-EEG Mismatched Variable Name And Label. Confirmed As \"C4-M1\" Signal from type II polysomnography\n",
" quoxim5 - Spo2 Signal Quality from type II polysomnography\n",
" qupleth5 - Pleth Signal Quality from type II polysomnography\n",
" quxflow5 - Cannula Flow Signal Quality from type II polysomnography\n",
" recbeaw5 - Data Lost - Recording Ended Before Wake from type II polysomnography\n",
" ref5 - Signal Quality Issues Found On Reference / Ground Signal from type II polysomnography\n",
" remarunrel5 - Scoring Arousals In REM (Only) Unreliable from type II polysomnography\n",
" remnrempr5 - Scoring REM/NREM Unreliable from type II polysomnography\n",
" respevpr5 - Scoring Respiratory Events (RDI) Unreliable from type II polysomnography\n",
" rsnco5 - Reason For Study Failure from type II polysomnography\n",
" sao2lt855 - Urgent Referral - O2sat < 85% For >10% Total Sleep Time from type II polysomnography\n",
" scorid5 - PSG QS: Scorer ID from type II polysomnography\n",
" slewake5 - Study Scored Sleep / Wake Only (All Sleep Scored As N2 And No Arousals Scored Due To Poor Quality EEG) from type II polysomnography\n",
" status_psg5 - Pass/Fail Status from type II polysomnography\n",
" stg1stg2pr5 - Scoring Stage1/Stage2 Unreliable from type II polysomnography\n",
" stg2stg3pr5 - Scoring Stage2/Deep Sleep Unreliable from type II polysomnography\n",
" svpulse5 - Manual Pulse At Time Of Hookup From Sv Form from type II polysomnography\n",
" svspo25 - Spo2 From Signal Verification Form - Reading At Time Of Hookup from type II polysomnography\n",
" unuhrou4a5 - Urgent Referral - Unusual HR: 2nd Or 3rd Degree Block from type II polysomnography\n",
" unuhrou4b5 - Urgent Referral - Unusual HR: Acute St Segment from type II polysomnography\n",
" unuhrou4c5 - Urgent Referral - Unusual HR: Nsvt 3-Beat Run from type II polysomnography\n",
" unuhrou4d5 - Urgent Referral - Unusual HR: HR Above 150 BPM For >= 2 Min from type II polysomnography\n",
" unuhrou4e5 - Urgent Referral - Unusual HR: HR < 30 BPM For >= 2 Min from type II polysomnography\n",
" unuhrou4f5 - Urgent Referral - Unusual HR: Other from type II polysomnography\n",
" unuhrou5 - Urgent Referral - Unusual HR/ECG (Categorical) from type II polysomnography\n",
" unustgou5 - Unusual Staging from type II polysomnography\n",
" wakslepr5 - Scoring Stage Wake/Sleep Unreliable from type II polysomnography\n",
" xflowdur5 - Cannula Flow Signal Duration (Hours) from type II polysomnography\n",
" nsupinep5 - Percentage of total sleep duration in non-supine position from type II polysomnography\n",
" rem_lat15 - REM Latency I: the interval between sleep onset and first REM (including wake) from type II polysomnography\n",
" remlaiip5 - REM Latency II: the interval between sleep onset and first REM while asleep (excluding wake) from type II polysomnography\n",
" slp_eff5 - Sleep Efficiency: the proportion of total sleep duration in in-bed period from type II polysomnography\n",
" slp_lat5 - Sleep Latency: the interval between lights-out/in-bed time and sleep onset time from type II polysomnography\n",
" slp_maint_eff5 - Sleep Maintenance Efficiency: the proportion of sleep duration in sleep period from type II polysomnography\n",
" slpprdp5 - Total Sleep Duration: the interval between sleep onset and sleep offset while the participant is asleep from type II polysomnography\n",
" stdurm5 - Total Recording Period: the interval between recording start and end time from type II polysomnography\n",
" stendp5 - Clock time when the recording (study) ends from type II polysomnography\n",
" stlonp5 - Clock time when the participant is out of bed or lights are on from type II polysomnography\n",
" stloutp5 - Clock time when the participant is in bed or lights are out from type II polysomnography\n",
" stonsetp5 - Sleep onset time from type II polysomnography\n",
" ststartp5 - Clock time when the recording (study) begins from type II polysomnography\n",
" supinep5 - Percentage of total sleep duration in supine position from type II polysomnography\n",
" time_bed5 - Total In-bed Period: the interval between lights out/in-bed time and lights off/out-bed time from type II polysomnography\n",
" timerem5 - Total duration of REM sleep from type II polysomnography\n",
" timeremp5 - Percentage of total sleep duration in REM from type II polysomnography\n",
" times34p5 - Percentage of total sleep duration in Stage 3 and 4 from type II polysomnography\n",
" timest15 - Total duration of Stage 1 sleep from type II polysomnography\n",
" timest1p5 - Percentage of total sleep duration in Stage 1 from type II polysomnography\n",
" timest25 - Total duration of Stage 2 sleep from type II polysomnography\n",
" timest2p5 - Percentage of total sleep duration in Stage 2 from type II polysomnography\n",
" timest345 - Total duration of Stage 3 and 4 sleep from type II polysomnography\n",
" waso5 - Wake after Sleep Onset: the total duration between sleep onset and sleep offset time while being awake from type II polysomnography\n",
" feelngbstpk5 - Horne-Ostberg Morningness-Eveningness Questionnaire: Time of day reaching \"feeling best\" peak\n",
" feelngbstr5 - Horne-Ostberg Morningness-Eveningness Questionnaire: Ideal scheduled wake time\n",
" hoostmeq5c - Modified Horne-Ostberg Morningness-Eveningness Questionnaire (MEQ) Score\n",
" mosttired4 - Horne-Ostberg Morningness-Eveningness Questionnaire: Time of evening you need sleep\n",
" tired5 - Horne-Ostberg Morningness-Eveningness Questionnaire: Tiredness during first half-hour after waking\n",
" types5 - Horne-Ostberg Morningness-Eveningness Questionnaire: Morning or evening type\n",
" car5 - Epworth Sleepiness Scale: Chance of dozing while in a car, while stopped for a few minutes in traffic\n",
" lyngdwn5 - Epworth Sleepiness Scale: Chance of dozing while lying down in the afternoon when circumstances permit\n",
" quietly5 - Epworth Sleepiness Scale: Chance of dozing while sitting quietly after lunch without alcohol\n",
" readng5 - Epworth Sleepiness Scale: Chance of dozing while sitting and reading\n",
" riding5 - Epworth Sleepiness Scale: Chance of dozing as a passenger in a car for an hour without a break\n",
" sittng5 - Epworth Sleepiness Scale: Chance of dozing while sitting, inactive in a public place\n",
" talkng5 - Epworth Sleepiness Scale: Chance of dozing while sitting and talking to someone\n",
" tv5 - Epworth Sleepiness Scale: Chance of dozing while watching TV\n",
" dinner5 - Chance of dozing while at dinner table\n",
" driving5 - Chance of dozing while driving\n",
" epslpscl5c - Epworth Sleepiness Scale: Total score\n",
" sleepy5 - Frequency of excessive sleepiness during the day in the last 4 weeks\n",
" legsdscmfrt5 - Experience desire to move legs because of discomfort or disagreeable sensations in legs\n",
" rubbnglgs5 - Feel need to move to relieve discomfort by walking or rub legs\n",
" wrseltr5 - Symptoms worse later in day or night\n",
" wrserest5 - Symptoms worse when at rest with temporary relief by activity\n",
" insmnia5 - Insomnia: Self-reported diagnosis by a physician\n",
" rstlesslgs5 - Restless Legs: Self-reported diagnosis by a physician\n",
" slpapnea5 - Sleep Apnea: Self-reported diagnosis by a physician\n",
" snored5 - Frequency of snoring in the past 4 weeks\n",
" stpbrthng5 - Frequency of breathing-stop during sleep in the past 4 weeks\n",
" bcksleep5 - Women's Health Initiative Insomnia Rating Scale: Trouble getting back to sleep after waking too early\n",
" trbleslpng5 - Women's Health Initiative Insomnia Rating Scale: Trouble falling asleep\n",
" typicalslp5 - Women's Health Initiative Insomnia Rating Scale: Typical night sleep\n",
" wakeearly5 - Women's Health Initiative Insomnia Rating Scale: Wake earlier than planned\n",
" wakeup5 - Women's Health Initiative Insomnia Rating Scale: Wake several times at night\n",
" irritable5 - Frequency of irritability due to sleep difficulties in the last 4 weeks\n",
" slpngpills5 - Frequency of taking sleeping pills to help with sleep in the last 4 weeks\n",
" whiirs5c - Women's Health Initiative Insomnia Rating Scale: Total score\n",
" bedtmwkday5c - Self-reported start time of the in-bed period on weekdays in 24-hour format\n",
" bedtmwkend5c - Self-reported start time of the in-bed period on weekends in 24-hour format\n",
" nap5 - Typical number of naps in a usual week from survey questionnaires\n",
" waketmwkday5c - Self-reported end time of the in-bed period on weekdays in 24-hour format from survey questionnaires\n",
" waketmwkend5c - Self-reported end time of the in-bed period on weekends in 24-hour format from survey questionnaires\n",
" wkdaysleepdur5c - Self-reported daily sleep duration on weekdays from survey questionnaires\n",
" wkdaysleepdur5t - Self-reported daily sleep duration on weekdays from survey questionnaires\n",
" wkendsleepdur5c - Self-reported daily sleep duration on weekends from survey questionnaires\n",
" wkendsleepdur5t - Self-reported daily sleep duration on weekends from survey questionnaires\n",
" cpap5 - CPAP or BiPAP Machine for Sleep Apnea: Self-reported\n",
" dntaldv5 - Dental (Oral) Device for Sleep Apnea: Self-reported\n",
" uvula5 - Throat/Uvula Surgery for Sleep Apnea: Self-reported\n"
]
}
],
"source": [
"for _, row in variables.iterrows():\n",
" id_name = row.loc['id']\n",
" display_name = row.loc['display_name']\n",
" print(f'{id_name:>20} - {display_name}')"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Variables\n",
"648\n",
"Dataset\n",
"['mesaid', 'examnumber', 'race1c', 'gender1', 'cucmcn1c', 'sleepage5c', 'site5c', 'htcm5', 'wtlb5', 'bmi5c', 'smkstat5', 'cursmk5', 'bedtmwkday5c', 'waketmwkday5c', 'wkdaysleepdur5c', 'wkdaysleepdur5t', 'bedtmwkend5c', 'waketmwkend5c', 'wkendsleepdur5c', 'wkendsleepdur5t', 'nap5', 'trbleslpng5', 'wakeup5', 'wakeearly5', 'bcksleep5', 'slpngpills5', 'irritable5', 'sleepy5', 'typicalslp5', 'readng5', 'tv5', 'sittng5', 'riding5', 'lyngdwn5', 'talkng5', 'quietly5', 'car5', 'dinner5', 'driving5', 'snored5', 'stpbrthng5', 'legsdscmfrt5', 'rubbnglgs5', 'wrserest5', 'wrseltr5', 'feelngbstr5', 'tired5', 'mosttired4', 'feelngbstpk5', 'types5', 'slpapnea5', 'cpap5', 'dntaldv5', 'uvula5', 'insmnia5', 'rstlesslgs5', 'wrksched5', 'extrahrs5', 'sleepqsid', 'whiirs5c', 'epslpscl5c', 'hoostmeq5c', 'havepsg5', 'haveact5', 'match5', 'stdypdy5c', 'status_psg5', 'rsnco5', 'scorerid5', 'inhomepsgyn5', 'e1dur5', 'e2dur5', 'chindur5', 'fzm1dur5', 'c4dur5', 'o2m1dur5', 'ecgdur5', 'limbdur5', 'airdur5', 'xflowdur5', 'chestdur5', 'abdodur5', 'oximdur5', 'plethdur5', 'casndur5', 'que15', 'que25', 'quchin5', 'qufzm15', 'quc45', 'quo2m15', 'quecg5', 'qulimb5', 'quair5', 'quxflow5', 'quchest5', 'quabdo5', 'quoxim5', 'qupleth5', 'qucasn5', 'm15', 'fpz5', 'ref5', 'posn5', 'overall5', 'slewake5', 'ahiov505', 'sao2lt855', 'unuhrou5', 'unuhrou4a5', 'unuhrou4b5', 'unuhrou4c5', 'unuhrou4d5', 'unuhrou4e5', 'unuhrou4f5', 'recbeaw5', 'losbeg5', 'losend5', 'losoth5', 'wakslepr5', 'stg1stg2pr5', 'stg2stg3pr5', 'remnrempr5', 'arunrel5', 'remarunrel5', 'respevpr5', 'apnhyppr5', 'abnoreeg5', 'alpdel5', 'period5', 'lagbreath5', 'npflow5', 'plmwake5', 'unustgou5', 'arsl3ou5', 'maxresou5', 'plmou5', 'scorid5', 'lighoff5', 'stloutp5', 'stonsetp5', 'remlaiip5', 'slpprdp5', 'ststartp5', 'stendp5', 'stdurm5', 'stlonp5', 'time_bed5', 'slp_eff5', 'rem_lat15', 'slp_maint_eff5', 'arrembp5', 'arremop5', 'arnrembp5', 'arnremop5', 'ahrembp5', 'ahremop5', 'ahnrembp5', 'ahnremop5', 'ai_all5', 'ai_rem5', 'ai_nrem5', 'waso5', 'timest1p5', 'timest15', 'timest2p5', 'timest25', 'times34p5', 'timest345', 'timeremp5', 'timerem5', 'svpulse5', 'bpmavg5', 'bpmmin5', 'bpmmax5', 'apnea35', 'ahiu35', 'cardrbp5', 'cardrop5', 'cardnbp5', 'cardnop5', 'oardrbp5', 'oarop5', 'oardnbp5', 'oardnop5', 'mxdrbp5', 'mxdrop5', 'mxdnbp5', 'mxdnop5', 'avdrbp5', 'avdrop5', 'avdnbp5', 'avdnop5', 'cardrba5', 'cardroa5', 'cardnba5', 'cardnoa5', 'oardrba5', 'oardroa5', 'oardnba5', 'oardnoa5', 'cardrba35', 'cardroa35', 'cardnba35', 'cardnoa35', 'oardrba35', 'oardroa35', 'oardnba35', 'oardnoa35', 'pctsthyp5', 'pcstahar5', 'pcstah3d5', 'pcstahda5', 'longap5', 'longhyp5', 'cavgdur5', 'oavgdur5', 'apavgdur5', 'havgdur5', 'hurbp5', 'hurop5', 'hunrbp5', 'hunrop5', 'hurbpa5', 'huropa5', 'hunrbpa5', 'hunropa5', 'hurbp25', 'hurbpa35', 'huropa35', 'hunrbpa35', 'hunropa35', 'oahi35', 'oai0p5', 'cai0p5', 'longhypb5', 'pcoslp5', 'phbslp5', 'pcohbwaslp5', 'pcohb3slp5', 'pcohb3waslp5', 'hbavgdur5', 'svspo25', 'mndrbp5', 'mndrop5', 'mndnbp5', 'mndnop5', 'ndes2ph5', 'ndes3ph5', 'ndes4ph5', 'ndes5ph5', 'pctsa95h5', 'pctsa90h5', 'pctsa85h5', 'pctsa80h5', 'avsao2rh5', 'avsao2nh5', 'mnsao2rh5', 'mnsao2nh5', 'mxsao2rh5', 'mxsao2nh5', 'dsrem25', 'dsrem35', 'dsrem45', 'dsrem55', 'dsnr25', 'dsnr35', 'dsnr45', 'dsnr55', 'dssao905', 'pctlt905', 'pctlt855', 'pctlt805', 'pctlt755', 'sao2rem5', 'sao2nrem5', 'avgsat5', 'minsat5', 'odi35', 'odi45', 'supinep5', 'nsupinep5', 'avgplm5', 'avgnplm5', 'avgrplm5', 'noplm5', 'plmaslp5', 'oahi45', 'oai4p5', 'cai4p5', 'cai4pa5', 'pctle925', 'oahi3pa5', 'oahi4pa5', 'avgplma5', 'oahi3_rem5', 'oahi3_nrem5', 'oahi3_sup5', 'oahi3_nsup5', 'oahi3pa_rem5', 'oahi3pa_nrem5', 'oahi3pa_sup5', 'oahi3pa_nsup5', 'oahi4_rem5', 'oahi4_nrem5', 'oahi4_sup5', 'oahi4_nsup5', 'oahi4pa_rem5', 'oahi4pa_nrem5', 'oahi4pa_sup5', 'oahi4pa_nsup5', 'ahi4pa_rem5', 'ahi4pa_nrem5', 'ahi4pa_sup5', 'ahi4pa_nsup5', 'ahi4p_rem5', 'ahi4p_nrem5', 'ahi4p_sup5', 'ahi4p_nsup5', 'cai0p_rem5', 'cai0p_nrem5', 'cai0p_sup5', 'cai0p_nsup5', 'slp_lat5', 'ahi_a0h3', 'ahi_a0h4', 'ahi_a0h3a', 'ahi_a0h4a', 'ahi_o0h3', 'ahi_o0h4', 'ahi_o0h3a', 'ahi_o0h4a', 'ahi_c0h3', 'ahi_c0h4', 'ahi_c0h3a', 'ahi_c0h4a', 'cent_obs_ratio', 'cent_obs_ratioa', 'nn_rr_fn5', 'avnn_fn5', 'ihr_fn5', 'sdnn_fn5', 'sdann_fn5', 'sdnnidx_fn5', 'rmssd_fn5', 'pnn10_fn5', 'pnn20_fn5', 'pnn30_fn5', 'pnn40_fn5', 'pnn50_fn5', 'totpwr_fn5', 'ulf_fn5', 'vlf_fn5', 'lf_fn5', 'hf_fn5', 'lf_hf_fn5', 'lfn_fn5', 'hfn_fn5', 'nn_rr_5m5', 'avnn_5m5', 'ihr_5m5', 'sdnn_5m5', 'rmssd_5m5', 'pnn10_5m5', 'pnn20_5m5', 'pnn30_5m5', 'pnn40_5m5', 'pnn50_5m5', 'totpwr_5m5', 'vlf_5m5', 'lf_5m5', 'hf_5m5', 'lf_hf_5m5', 'lfn_5m5', 'hfn_5m5', 'stdyady5c', 'sleepjournal5', 'timestart5', 'timeend5', 'nightsrec5', 'nightsvalid5', 'nightsinvalid5', 'diarypresent5', 'diarycomplete5', 'overallqual5', 'ndays5', 'avg24hrsleep5', 'sd24hrsleep5', 'avginbedduration5', 'sdinbedduration5', 'avgsleepperiodduration5', 'sdsleepperiodduration5', 'avgmainsleep5', 'sdmainsleep5', 'avgonsetlatency5', 'avgwaso5', 'avgsnooze5', 'avginbedwake5', 'avgefficiency5', 'sdefficiency5', 'avgmainteff5', 'sdmainteff5', 'avgfragmentation5', 'avgsleepbouts5', 'avgwakebouts5', 'ndaysnapsall5', 'ndaysnapssleep5', 'ndaysnapssleep155', 'avgnnapsall5', 'avgnnapssleep5', 'avgnnapssleep155', 'avgsleepnapsall5', 'avgsleepnapssleep5', 'avgsleepnapssleep155', 'avgsleepnapdaily5', 'avgsleepnapdaily155', 'avginbedtime5', 'sdinbedtime5', 'avgsleeponsettime5', 'sdsleeponsettime5', 'avgsleepoffsettime5', 'sdsleepoffsettime5', 'avgoutbedtime5', 'sdoutbedtime5', 'avgrestmidpoint5', 'sdrestmidpoint5', 'avgsleepmidpoint5', 'sdsleepmidpoint5', 'avgwhitetalt5', 'avgbluetalt5', 'avggreentalt5', 'avgredtalt5', 'ndayswd5', 'avg24hrsleepwd5', 'sd24hrsleepwd5', 'avginbeddurationwd5', 'sdinbeddurationwd5', 'avgsleepperioddurationwd5', 'sdsleepperioddurationwd5', 'avgmainsleepwd5', 'sdmainsleepwd5', 'avgonsetlatencywd5', 'avgwasowd5', 'avgsnoozewd5', 'avginbedwakewd5', 'avgefficiencywd5', 'sdefficiencywd5', 'avgmainteffwd5', 'sdmainteffwd5', 'avgfragmentationwd5', 'avgsleepboutswd5', 'avgwakeboutswd5', 'ndaysnapsallwd5', 'ndaysnapssleepwd5', 'ndaysnapssleep15wd5', 'avgnnapsallwd5', 'avgnnapssleepwd5', 'avgnnapssleep15wd5', 'avgsleepnapsallwd5', 'avgsleepnapssleepwd5', 'avgsleepnapssleep15wd5', 'avgsleepnapdailywd5', 'avgsleepnapdaily15wd5', 'avginbedtimewd5', 'sdinbedtimewd5', 'avgsleeponsettimewd5', 'sdsleeponsettimewd5', 'avgsleepoffsettimewd5', 'sdsleepoffsettimewd5', 'avgoutbedtimewd5', 'sdoutbedtimewd5', 'avgrestmidpointwd5', 'sdrestmidpointwd5', 'avgsleepmidpointwd5', 'sdsleepmidpointwd5', 'avgwhitetaltwd5', 'avgbluetaltwd5', 'avggreentaltwd5', 'avgredtaltwd5', 'ndayswe5', 'avg24hrsleepwe5', 'sd24hrsleepwe5', 'avginbeddurationwe5', 'sdinbeddurationwe5', 'avgsleepperioddurationwe5', 'sdsleepperioddurationwe5', 'avgmainsleepwe5', 'sdmainsleepwe5', 'avgonsetlatencywe5', 'avgwasowe5', 'avgsnoozewe5', 'avginbedwakewe5', 'avgefficiencywe5', 'sdefficiencywe5', 'avgmainteffwe5', 'sdmainteffwe5', 'avgfragmentationwe5', 'avgsleepboutswe5', 'avgwakeboutswe5', 'ndaysnapsallwe5', 'ndaysnapssleepwe5', 'ndaysnapssleep15we5', 'avgnnapsallwe5', 'avgnnapssleepwe5', 'avgnnapssleep15we5', 'avgsleepnapsallwe5', 'avgsleepnapssleepwe5', 'avgsleepnapssleep15we5', 'avgsleepnapdailywe5', 'avgsleepnapdaily15we5', 'avginbedtimewe5', 'sdinbedtimewe5', 'avgsleeponsettimewe5', 'sdsleeponsettimewe5', 'avgsleepoffsettimewe5', 'sdsleepoffsettimewe5', 'avgoutbedtimewe5', 'sdoutbedtimewe5', 'avgrestmidpointwe5', 'sdrestmidpointwe5', 'avgsleepmidpointwe5', 'sdsleepmidpointwe5', 'avgwhitetaltwe5', 'avgbluetaltwe5', 'avggreentaltwe5', 'avgredtaltwe5', 'ndayswo5', 'avg24hrsleepwo5', 'sd24hrsleepwo5', 'avginbeddurationwo5', 'sdinbeddurationwo5', 'avgsleepperioddurationwo5', 'sdsleepperioddurationwo5', 'avgmainsleepwo5', 'sdmainsleepwo5', 'avgonsetlatencywo5', 'avgwasowo5', 'avgsnoozewo5', 'avginbedwakewo5', 'avgefficiencywo5', 'sdefficiencywo5', 'avgmainteffwo5', 'sdmainteffwo5', 'avgfragmentationwo5', 'avgsleepboutswo5', 'avgwakeboutswo5', 'ndaysnapsallwo5', 'ndaysnapssleepwo5', 'ndaysnapssleep15wo5', 'avgnnapsallwo5', 'avgnnapssleepwo5', 'avgnnapssleep15wo5', 'avgsleepnapsallwo5', 'avgsleepnapssleepwo5', 'avgsleepnapssleep15wo5', 'avgsleepnapdailywo5', 'avgsleepnapdaily15wo5', 'avginbedtimewo5', 'sdinbedtimewo5', 'avgsleeponsettimewo5', 'sdsleeponsettimewo5', 'avgsleepoffsettimewo5', 'sdsleepoffsettimewo5', 'avgoutbedtimewo5', 'sdoutbedtimewo5', 'avgrestmidpointwo5', 'sdrestmidpointwo5', 'avgsleepmidpointwo5', 'sdsleepmidpointwo5', 'avgwhitetaltwo5', 'avgbluetaltwo5', 'avggreentaltwo5', 'avgredtaltwo5', 'ndaysnw5', 'avg24hrsleepnw5', 'sd24hrsleepnw5', 'avginbeddurationnw5', 'sdinbeddurationnw5', 'avgsleepperioddurationnw5', 'sdsleepperioddurationnw5', 'avgmainsleepnw5', 'sdmainsleepnw5', 'avgonsetlatencynw5', 'avgwasonw5', 'avgsnoozenw5', 'avginbedwakenw5', 'avgefficiencynw5', 'sdefficiencynw5', 'avgmainteffnw5', 'sdmainteffnw5', 'avgfragmentationnw5', 'avgsleepboutsnw5', 'avgwakeboutsnw5', 'ndaysnapsallnw5', 'ndaysnapssleepnw5', 'ndaysnapssleep15nw5', 'avgnnapsallnw5', 'avgnnapssleepnw5', 'avgnnapssleep15nw5', 'avgsleepnapsallnw5', 'avgsleepnapssleepnw5', 'avgsleepnapssleep15nw5', 'avgsleepnapdaily15nw5', 'avginbedtimenw5', 'sdinbedtimenw5', 'avgsleeponsettimenw5', 'sdsleeponsettimenw5', 'avgsleepoffsettimenw5', 'sdsleepoffsettimenw5', 'avgoutbedtimenw5', 'sdoutbedtimenw5', 'avgrestmidpointnw5', 'sdrestmidpointnw5', 'avgsleepmidpointnw5', 'sdsleepmidpointnw5', 'avgwhitetaltnw5', 'avgbluetaltnw5', 'avggreentaltnw5', 'avgredtaltnw5', 'avgsleepnapdailyrd5', 'dstoverlap5', 'epochlength5', 'lgn']\n",
"(2237, 623)\n",
"Harmonized Dataset\n",
"['mesaid', 'examnumber', 'nsrr_age', 'nsrr_bmi', 'nsrr_age_gt89', 'nsrr_sex', 'nsrr_race', 'nsrr_current_smoker', 'nsrr_ever_smoker', 'nsrr_ahi_hp3u', 'nsrr_ahi_hp3r_aasm15', 'nsrr_ahi_hp4u_aasm15', 'nsrr_ahi_hp4r', 'nsrr_tst_f1', 'nsrr_phrnumar_f1', 'nsrr_flag_spsw', 'nsrr_ttleffsp_f1', 'nsrr_ttlmefsp_f1', 'nsrr_ttllatsp_f1', 'nsrr_ttlprdsp_s1sr', 'nsrr_ttldursp_s1sr', 'nsrr_waso_f1', 'nsrr_pctdursp_s1', 'nsrr_pctdursp_s2', 'nsrr_pctdursp_s3', 'nsrr_pctdursp_sr', 'nsrr_tib_f1']\n",
"(2237, 27)\n"
]
}
],
"source": [
"print('Variables')\n",
"print(len(variables))\n",
"\n",
"print('Dataset')\n",
"print(list(dataset.keys()))\n",
"print(dataset.shape)\n",
"\n",
"print('Harmonized Dataset')\n",
"print(list(harm_data.keys()))\n",
"print(harm_data.shape)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
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"<thead>\n",
" <tr style=\"text-align: right;\">\n",
" \n",
" <th>mesaid</th>\n",
" <th>examnumber</th>\n",
" <th>nsrr_age</th>\n",
" <th>nsrr_bmi</th>\n",
" <th>nsrr_age_gt89</th>\n",
" <th>nsrr_sex</th>\n",
" <th>nsrr_race</th>\n",
" <th>nsrr_current_smoker</th>\n",
" <th>nsrr_ever_smoker</th>\n",
" <th>nsrr_ahi_hp3u</th>\n",
" <th>nsrr_ahi_hp3r_aasm15</th>\n",
" <th>nsrr_ahi_hp4u_aasm15</th>\n",
" <th>nsrr_ahi_hp4r</th>\n",
" <th>nsrr_tst_f1</th>\n",
" <th>nsrr_phrnumar_f1</th>\n",
" <th>nsrr_flag_spsw</th>\n",
" <th>nsrr_ttleffsp_f1</th>\n",
" <th>nsrr_ttlmefsp_f1</th>\n",
" <th>nsrr_ttllatsp_f1</th>\n",
" <th>nsrr_ttlprdsp_s1sr</th>\n",
" <th>nsrr_ttldursp_s1sr</th>\n",
" <th>nsrr_waso_f1</th>\n",
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" <th>nsrr_pctdursp_s2</th>\n",
" <th>nsrr_pctdursp_s3</th>\n",
" <th>nsrr_pctdursp_sr</th>\n",
" <th>nsrr_tib_f1</th>\n",
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1.65, 3.29, 0.47, 2.35, 255.0, 10.82, \"full scoring\", 79.94, 89.47, 34.0, 30.0, 16.0, 30.0, 15.1, 60.8, 0.0, 24.1, 319.0], [6781, 5, 66.0, 29.02, \"no\", \"male\", \"hispanic\", \"not reported\", \"no\", 24.54, 37.47, 16.51, 33.9, 269.0, 33.01, \"full scoring\", 56.16, 65.61, 69.0, 61.0, 57.0, 141.0, 11.2, 53.3, 15.3, 20.3, 479.0], [6783, 5, 85.0, 20.0, \"no\", \"female\", \"white\", \"not reported\", \"no\", 7.42, 12.33, 4.4, 10.69, 477.0, 23.77, \"full scoring\", 80.85, 89.49, 57.0, 136.0, 126.0, 56.0, 10.2, 60.2, 11.6, 17.9, 590.0], [6784, 5, 78.0, 25.94, \"no\", \"female\", \"black or african american\", \"not reported\", \"no\", 16.52, 18.08, 12.62, 14.96, 385.0, 17.92, \"full scoring\", 83.15, 83.15, NaN, 82.0, 77.0, 77.5, 9.23, 59.7, 13.7, 17.4, 463.0], [6786, 5, 60.0, 34.7, \"no\", \"female\", \"black or african american\", \"not reported\", \"no\", 13.35, 14.74, 9.36, 11.1, 346.0, 10.75, \"full scoring\", 77.75, 77.75, NaN, 84.0, 45.0, 99.0, 7.38, 68.9, 7.67, 16.1, 445.0], [6788, 5, 59.0, 42.28, \"no\", \"female\", \"black or african american\", \"not reported\", \"no\", 8.16, 8.41, 4.52, 5.02, 478.0, 5.27, \"full scoring\", 75.75, 75.75, NaN, 100.0, 54.0, 153.0, 2.62, 45.0, 36.6, 15.7, 631.0], [6789, 5, 74.0, 29.9, \"no\", \"male\", \"black or african american\", \"no\", \"yes\", 21.38, 23.44, 15.94, 20.44, 320.0, 28.13, \"full scoring\", 65.71, 65.71, NaN, 137.0, 48.0, 167.0, 8.75, 70.3, 2.66, 18.3, 487.0], [6790, 5, 72.0, 28.07, \"no\", \"male\", \"white\", \"not reported\", \"no\", 22.12, 22.6, 14.32, 16.07, 377.0, 16.23, \"full scoring\", 70.07, NaN, NaN, 208.0, 177.0, 161.0, 12.2, 58.0, 9.03, 20.7, 538.0], [6792, 5, 62.0, 29.9, \"no\", \"male\", \"white\", \"no\", \"yes\", 30.75, 39.69, 21.8, 35.4, 322.0, 34.47, \"full scoring\", 72.52, 75.94, 20.0, 76.0, 57.0, 102.0, 41.1, 31.3, 2.33, 25.3, 444.0], [6795, 5, 63.0, 29.07, \"no\", \"female\", \"white\", \"not reported\", \"no\", 7.48, 9.2, 3.83, 6.33, 313.0, 10.73, \"full scoring\", 73.47, 90.99, 82.0, 86.0, 79.0, 30.5, 13.7, 52.4, 12.5, 21.4, 426.0], [6796, 5, 55.0, 28.7, \"no\", \"female\", \"black or african american\", \"no\", \"yes\", 8.52, 11.53, 3.93, 7.73, 458.0, 21.09, \"full scoring\", 90.34, 90.34, NaN, 70.0, 56.0, 49.0, 7.1, 69.8, 10.3, 12.9, 507.0], [6802, 5, 65.0, 43.31, \"no\", \"female\", \"black or african american\", \"not reported\", \"no\", 9.58, 13.65, 6.83, 11.68, 457.0, 21.27, \"full scoring\", 88.05, 91.04, 17.0, 116.0, 97.0, 44.5, 10.5, 67.0, 7.77, 14.8, 519.0], [6804, 5, 77.0, 24.32, \"no\", \"female\", \"black or african american\", \"not reported\", \"no\", 34.02, 35.77, 25.23, 28.37, 478.0, 18.2, \"full scoring\", 89.68, 92.1, 14.0, 84.0, 78.0, 41.5, 18.4, 60.9, 1.47, 19.2, 533.0], [6807, 5, 60.0, 28.32, \"no\", \"male\", \"hispanic\", \"no\", \"yes\", 48.24, 49.6, 43.42, 46.58, 398.0, 30.75, \"full scoring\", 79.28, 79.28, NaN, 192.0, 148.0, 103.5, 22.4, 60.6, 4.27, 12.8, 502.0], [6810, 5, 77.0, 30.47, \"no\", \"male\", \"hispanic\", \"no\", \"yes\", 25.84, 30.44, 15.58, 21.95, 339.0, 20.35, \"full scoring\", 67.53, 67.53, NaN, 79.0, 51.0, 163.0, 21.7, 57.6, 0.0, 20.7, 502.0], [6811, 5, 79.0, 27.73, \"no\", \"male\", \"hispanic\", \"no\", \"yes\", 34.24, 45.33, 29.18, 43.53, 368.0, 58.04, \"full scoring\", 69.57, 69.57, NaN, 152.0, 130.0, 161.0, 50.9, 33.7, 0.82, 14.6, 529.0], [6812, 5, 68.0, 27.02, \"no\", \"female\", \"hispanic\", \"yes\", \"yes\", 5.89, 11.16, 2.32, 9.26, 285.0, 18.53, \"full scoring\", 59.5, 76.41, 106.0, 120.0, 55.0, 87.5, 11.2, 59.4, 7.38, 22.0, 479.0]];\n",
"\n",
" // Define the dt_args\n",
" let dt_args = {\"layout\": {\"topStart\": \"pageLength\", \"topEnd\": \"search\", \"bottomStart\": \"info\", \"bottomEnd\": \"paging\"}, \"order\": [], \"warn_on_selected_rows_not_rendered\": true, \"filtered_row_count\": 1934, \"fnInfoCallback\": function (oSettings, iStart, iEnd, iMax, iTotal, sPre) { return sPre + ' (<a href=\"https://mwouts.github.io/itables/downsampling.html\">downsampled</a> from 2,237x27 to 303x27 as maxBytes=64KB)'; }};\n",
" dt_args[\"data\"] = data;\n",
"\n",
" \n",
" new DataTable(table, dt_args);\n",
" });\n",
"</script>\n"
],
"text/plain": [
" mesaid examnumber nsrr_age nsrr_bmi nsrr_age_gt89 nsrr_sex \\\n",
"0 1 5 70.0 22.01 no female \n",
"1 2 5 83.0 21.90 no female \n",
"2 6 5 57.0 56.01 no female \n",
"3 10 5 57.0 19.84 no male \n",
"4 12 5 80.0 27.77 no male \n",
"... ... ... ... ... ... ... \n",
"2232 6804 5 77.0 24.32 no female \n",
"2233 6807 5 60.0 28.32 no male \n",
"2234 6810 5 77.0 30.47 no male \n",
"2235 6811 5 79.0 27.73 no male \n",
"2236 6812 5 68.0 27.02 no female \n",
"\n",
" nsrr_race nsrr_current_smoker nsrr_ever_smoker \\\n",
"0 white no yes \n",
"1 white not reported no \n",
"2 hispanic no yes \n",
"3 white not reported no \n",
"4 white not reported no \n",
"... ... ... ... \n",
"2232 black or african american not reported no \n",
"2233 hispanic no yes \n",
"2234 hispanic no yes \n",
"2235 hispanic no yes \n",
"2236 hispanic yes yes \n",
"\n",
" nsrr_ahi_hp3u ... nsrr_ttlmefsp_f1 nsrr_ttllatsp_f1 \\\n",
"0 18.14 ... 62.66 26.0 \n",
"1 8.34 ... 86.37 NaN \n",
"2 62.51 ... 72.03 NaN \n",
"3 40.91 ... 55.28 NaN \n",
"4 27.47 ... 47.81 12.0 \n",
"... ... ... ... ... \n",
"2232 34.02 ... 92.10 14.0 \n",
"2233 48.24 ... 79.28 NaN \n",
"2234 25.84 ... 67.53 NaN \n",
"2235 34.24 ... 69.57 NaN \n",
"2236 5.89 ... 76.41 106.0 \n",
"\n",
" nsrr_ttlprdsp_s1sr nsrr_ttldursp_s1sr nsrr_waso_f1 nsrr_pctdursp_s1 \\\n",
"0 124.0 67.0 205.5 19.70 \n",
"1 67.0 54.0 59.0 6.55 \n",
"2 78.0 21.0 139.0 19.70 \n",
"3 0.0 0.0 89.0 9.13 \n",
"4 416.0 138.0 298.0 15.60 \n",
"... ... ... ... ... \n",
"2232 84.0 78.0 41.5 18.40 \n",
"2233 192.0 148.0 103.5 22.40 \n",
"2234 79.0 51.0 163.0 21.70 \n",
"2235 152.0 130.0 161.0 50.90 \n",
"2236 120.0 55.0 87.5 11.20 \n",
"\n",
" nsrr_pctdursp_s2 nsrr_pctdursp_s3 nsrr_pctdursp_sr nsrr_tib_f1 \n",
"0 66.2 2.77 11.4 575.0 \n",
"1 48.4 20.90 24.2 433.0 \n",
"2 53.1 10.50 16.6 497.0 \n",
"3 57.5 33.30 0.0 199.0 \n",
"4 69.0 2.94 12.5 583.0 \n",
"... ... ... ... ... \n",
"2232 60.9 1.47 19.2 533.0 \n",
"2233 60.6 4.27 12.8 502.0 \n",
"2234 57.6 0.00 20.7 502.0 \n",
"2235 33.7 0.82 14.6 529.0 \n",
"2236 59.4 7.38 22.0 479.0 \n",
"\n",
"[2237 rows x 27 columns]"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"harm_data"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"harm_data.set_index('mesaid', inplace=True)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"np.float64(80.0)"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"harm_data.loc[12].loc['nsrr_age']"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "master",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}