Nymbo/self-hosted-python
1
1var Module=typeof globalThis.__pyodide_module!=="undefined"?globalThis.__pyodide_module:{};if(!Module.expectedDataFileDownloads){Module.expectedDataFileDownloads=0}Module.expectedDataFileDownloads++;(function(){var loadPackage=function(metadata){var PACKAGE_PATH="";if(typeof window==="object"){PACKAGE_PATH=window["encodeURIComponent"](window.location.pathname.toString().substring(0,window.location.pathname.toString().lastIndexOf("/"))+"/")}else if(typeof process==="undefined"&&typeof location!=="undefined"){PACKAGE_PATH=encodeURIComponent(location.pathname.toString().substring(0,location.pathname.toString().lastIndexOf("/"))+"/")}var PACKAGE_NAME="statsmodels-tests.data";var REMOTE_PACKAGE_BASE="statsmodels-tests.data";if(typeof Module["locateFilePackage"]==="function"&&!Module["locateFile"]){Module["locateFile"]=Module["locateFilePackage"];err("warning: you defined Module.locateFilePackage, that has been renamed to Module.locateFile (using your locateFilePackage for now)")}var REMOTE_PACKAGE_NAME=Module["locateFile"]?Module["locateFile"](REMOTE_PACKAGE_BASE,""):REMOTE_PACKAGE_BASE;var REMOTE_PACKAGE_SIZE=metadata["remote_package_size"];var PACKAGE_UUID=metadata["package_uuid"];function fetchRemotePackage(packageName,packageSize,callback,errback){if(typeof process==="object"){require("fs").readFile(packageName,(function(err,contents){if(err){errback(err)}else{callback(contents.buffer)}}));return}var xhr=new XMLHttpRequest;xhr.open("GET",packageName,true);xhr.responseType="arraybuffer";xhr.onprogress=function(event){var url=packageName;var size=packageSize;if(event.total)size=event.total;if(event.loaded){if(!xhr.addedTotal){xhr.addedTotal=true;if(!Module.dataFileDownloads)Module.dataFileDownloads={};Module.dataFileDownloads[url]={loaded:event.loaded,total:size}}else{Module.dataFileDownloads[url].loaded=event.loaded}var total=0;var loaded=0;var num=0;for(var download in Module.dataFileDownloads){var data=Module.dataFileDownloads[download];total+=data.total;loaded+=data.loaded;num++}total=Math.ceil(total*Module.expectedDataFileDownloads/num);if(Module["setStatus"])Module["setStatus"]("Downloading data... ("+loaded+"/"+total+")")}else if(!Module.dataFileDownloads){if(Module["setStatus"])Module["setStatus"]("Downloading data...")}};xhr.onerror=function(event){throw new Error("NetworkError for: "+packageName)};xhr.onload=function(event){if(xhr.status==200||xhr.status==304||xhr.status==206||xhr.status==0&&xhr.response){var packageData=xhr.response;callback(packageData)}else{throw new Error(xhr.statusText+" : "+xhr.responseURL)}};xhr.send(null)}function handleError(error){console.error("package error:",error)}var fetchedCallback=null;var fetched=Module["getPreloadedPackage"]?Module["getPreloadedPackage"](REMOTE_PACKAGE_NAME,REMOTE_PACKAGE_SIZE):null;if(!fetched)fetchRemotePackage(REMOTE_PACKAGE_NAME,REMOTE_PACKAGE_SIZE,(function(data){if(fetchedCallback){fetchedCallback(data);fetchedCallback=null}else{fetched=data}}),handleError);function runWithFS(){function assert(check,msg){if(!check)throw msg+(new Error).stack}Module["FS_createPath"]("/","lib",true,true);Module["FS_createPath"]("/lib","python3.9",true,true);Module["FS_createPath"]("/lib/python3.9","site-packages",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages","statsmodels",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","base",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/base","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","compat",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/compat","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","datasets",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/datasets","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","discrete",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/discrete","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/discrete/tests","results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","distributions",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/distributions","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","duration",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/duration","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/duration/tests","results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","emplike",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/emplike","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/emplike/tests","results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","formula",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/formula","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","gam",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/gam","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/gam/tests","results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","genmod",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/genmod","families",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/genmod/families","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/genmod","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/genmod/tests","results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","graphics",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/graphics","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","imputation",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/imputation","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","iolib",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/iolib","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/iolib/tests","results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","miscmodels",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/miscmodels","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/miscmodels/tests","results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","multivariate",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/multivariate","factor_rotation",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/multivariate/factor_rotation","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/multivariate","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/multivariate/tests","results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","nonparametric",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/nonparametric","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/nonparametric/tests","results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","othermod",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/othermod","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/othermod/tests","results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","regression",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/regression","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/regression/tests","results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","robust",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/robust","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/robust/tests","results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","sandbox",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/sandbox","distributions",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/sandbox/distributions","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/sandbox","nonparametric",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/sandbox/nonparametric","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/sandbox","panel",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/sandbox/panel","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/sandbox","regression",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/sandbox/regression","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/sandbox","stats",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/sandbox/stats","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/sandbox","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","stats",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/stats","libqsturng",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/stats/libqsturng","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/stats","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/stats/tests","results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","tools",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tools","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tools","validation",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tools/validation","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels","tsa",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa","ardl",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/ardl","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa","arima",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/arima","estimators",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/arima/estimators","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/arima","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa","base",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/base","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa","filters",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/filters","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/filters/tests","results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa","forecasting",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/forecasting","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa","holtwinters",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/holtwinters","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/tests","results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa","innovations",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/innovations","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa","interp",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/interp","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa","regime_switching",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/regime_switching","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/regime_switching/tests","results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa","statespace",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/statespace","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests","results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results","frbny_nowcast",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast","Nowcasting",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting","data",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data","US",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting","functions",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/tests","results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa","vector_ar",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/vector_ar","tests",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests","JMulTi_results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests","Matlab_results",true,true);Module["FS_createPath"]("/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests","results",true,true);function processPackageData(arrayBuffer){assert(arrayBuffer,"Loading data file failed.");assert(arrayBuffer instanceof ArrayBuffer,"bad input to processPackageData");var byteArray=new Uint8Array(arrayBuffer);var curr;var compressedData={data:null,cachedOffset:8820983,cachedIndexes:[-1,-1],cachedChunks:[null,null],offsets:[0,750,1958,2921,3754,4728,5509,6195,6990,7683,8908,9689,10529,11438,12371,13077,14142,15283,16273,17581,18617,19375,20251,21004,21791,22571,23645,25048,26114,27102,28191,29026,29842,30672,31787,32630,33499,34613,35642,36643,37204,38358,39304,40505,41597,42274,43354,44255,45260,46410,47099,48318,49227,49939,51022,52116,52960,53932,54839,55784,57043,58331,59525,60749,62058,63375,64616,65465,66349,67257,68086,69199,70270,71276,72224,73212,74240,75476,76546,77597,78449,79536,80900,81843,83163,84023,85140,85926,86803,87926,88951,90230,91318,92485,93417,94222,95331,96416,97591,98516,99596,100849,101878,102943,103768,105027,106300,107614,108724,109540,110392,110748,111114,111528,112205,113084,113866,114866,116028,116953,117824,118786,119809,120706,121541,122613,123342,124406,125298,126232,127161,128233,129105,130005,130966,132025,133257,134376,135655,136697,137548,138379,139535,140765,141662,142555,143346,144543,145603,146328,147123,148332,149356,150713,151770,152596,154059,155113,156006,156932,157598,158444,159303,160213,161004,161837,162690,164013,165413,166559,168007,169144,170490,171607,173071,174185,175376,176641,177883,179122,180266,181442,182689,184038,185251,186481,187846,189277,190681,191911,193249,194627,195997,197130,198322,199431,200799,202015,203309,204453,205574,206690,208090,209407,210837,212132,213270,214769,216036,217372,218623,219637,220849,222087,223288,224496,225741,226789,228096,229589,230684,231890,232963,234135,235381,236599,237779,238910,240158,241201,242403,243392,244689,245595,246841,247795,249113,249954,250563,251157,252970,254720,256470,258221,259981,261756,263502,265227,266959,268706,270427,272172,273937,275697,277445,279177,280939,282672,284437,286163,287910,289513,291233,292973,294715,296447,298206,299934,301677,303418,305156,306904,308671,310423,312159,313923,315660,317405,319139,320899,322652,324407,326173,327927,329671,331419,333169,334928,336656,338394,340130,341859,343616,345355,347105,348849,350608,352357,354082,355827,357571,359312,361051,362790,364527,366267,367984,369696,371425,373162,374872,376610,378343,380098,381830,383582,385327,387061,388826,390560,392327,393594,394701,395842,397003,398166,399298,400464,401507,402652,403730,404938,406143,407320,408482,409743,410911,412072,413248,414456,415659,416919,418139,419348,420484,421618,422844,424065,425294,426488,427653,428880,430003,431157,432286,433506,434639,435803,436938,438075,439252,440456,441684,442892,444032,445262,446453,447489,448437,449506,450451,451624,452655,453754,454909,456046,457033,458126,459243,460336,461377,462406,463597,464694,465759,466795,467829,469632,471491,473360,475222,477090,478956,480819,482684,484549,486406,488287,490158,492023,493881,495818,497670,499524,501382,503242,505172,507045,508898,510780,512635,514535,516374,518219,520062,521973,523837,525695,527548,529397,531339,533204,535058,537011,538882,540740,542679,544550,546429,548389,550235,552093,553945,555804,557729,559559,561392,563298,565242,567131,569063,570925,572782,574702,576558,578432,580352,582198,584048,585991,587851,589722,591591,593516,595373,597245,599096,600958,602869,604721,606588,608439,610292,612236,614085,615937,617794,619659,621533,623398,625257,627125,629068,630902,632735,634659,636520,638374,640290,642131,643968,645888,647663,649455,651268,653055,654584,656101,657605,659128,660641,662158,663684,665197,666734,668222,669771,671299,672816,674349,675879,677396,678916,680471,682017,683541,685099,686490,688027,689562,691115,692651,694193,695755,697315,698840,700356,701921,703436,704967,706484,708032,709555,711098,712604,714142,715685,717232,718798,720378,721926,723471,725017,726512,728074,729582,731137,732662,734198,735751,737345,738888,740454,742016,743515,745030,746606,748154,749696,751228,752792,754345,755894,757466,759014,760568,762126,763663,765190,766758,768278,769837,771374,772952,774497,776034,777552,779127,780052,780596,781075,781637,782165,782474,783033,783484,783948,784447,784949,785492,785986,786480,787021,787442,788031,788448,788893,789246,789699,790241,790642,791214,791724,792196,792657,793149,793559,794110,794576,795080,795531,796165,796751,797106,797582,798224,798791,799587,800197,800784,801365,802043,802739,803279,803935,804507,805078,805752,806332,807025,807746,808472,809231,810054,810674,811367,811954,812584,813314,813886,814536,815158,815743,816361,816957,817662,818352,818974,819694,820506,821154,821874,822551,823104,823801,824435,825044,825716,826326,826996,827693,828237,828822,829429,829938,830475,831028,831728,832510,833258,833903,834628,835297,836128,836671,837284,837987,838562,839133,839686,840327,840979,841436,842078,842563,843244,843776,844437,845056,845654,846374,846969,847553,848191,848781,849405,850066,850749,851352,852003,852678,853192,853892,854614,855201,855868,856484,857067,857707,858349,858927,859667,860433,861094,861687,862418,863014,863776,864473,865145,865776,866471,867241,867854,868616,869197,869931,870579,871019,871658,872297,872958,873467,874110,874712,875425,876077,876711,877341,878026,878765,879477,880199,880931,881569,882181,882788,883513,883948,884527,885132,885718,886441,887386,888181,889301,890305,891265,892045,892805,893569,894256,895057,896223,897158,898461,899414,900458,901423,902613,903873,904796,905985,907290,908095,909020,910222,911167,912177,913203,914309,915379,916661,918031,919135,920283,921032,922173,923241,924195,925123,926315,927461,928686,929581,930543,931691,932835,934201,935568,936486,937748,939322,940857,942407,943975,945549,947089,948668,950233,951784,953359,954956,956534,958125,959656,961205,962749,964294,965864,967437,968976,970536,972091,973664,975244,976857,978431,979999,981554,983129,984656,986217,987782,989323,990889,992481,994060,995566,997155,998733,1000291,1001840,1003410,1005009,1006587,1008142,1009711,1011245,1012797,1014359,1015926,1017510,1019013,1020562,1022050,1023546,1024999,1026376,1027624,1028978,1029924,1030697,1031565,1032531,1033399,1034120,1035188,1035541,1035979,1036366,1036733,1037133,1037545,1038197,1039435,1040763,1041935,1042845,1043907,1045280,1046563,1047604,1048749,1049962,1051270,1052472,1053673,1054840,1056162,1057317,1058559,1059699,1060801,1061910,1063105,1064035,1064848,1066318,1067393,1068492,1069859,1070793,1071998,1073074,1074228,1075535,1076866,1078559,1080323,1081015,1082385,1083895,1085494,1087044,1088637,1090245,1091955,1093602,1095260,1096884,1098515,1100144,1101827,1103455,1105125,1106781,1108414,1110045,1111745,1113355,1115003,1116676,1118341,1120033,1121517,1122743,1124350,1125959,1127569,1129167,1130754,1132359,1133763,1135117,1136647,1138224,1139871,1141569,1143316,1144907,1146545,1148194,1149944,1151634,1152873,1154285,1155970,1157622,1159234,1160869,1162549,1164133,1165742,1167383,1168974,1170634,1172152,1173718,1175203,1176747,1178300,1179792,1181368,1182885,1184484,1186021,1187573,1189103,1190650,1192243,1193756,1195259,1196911,1198644,1200261,1201356,1202779,1204323,1205898,1207399,1208982,1210505,1212029,1213495,1215018,1216625,1218020,1219447,1220688,1221857,1223030,1224466,1225836,1226953,1228270,1229178,1229960,1230822,1231537,1232454,1233117,1233965,1234760,1235603,1236327,1236956,1237703,1238441,1239660,1241012,1242204,1243585,1245130,1246110,1247591,1249047,1250201,1251538,1252740,1254108,1255644,1257001,1258260,1259580,1261028,1262447,1263710,1264876,1265980,1267146,1268234,1269326,1270543,1271603,1272659,1273859,1275116,1276207,1277422,1278473,1279576,1280750,1282008,1283443,1285383,1287295,1289218,1291148,1293068,1294981,1296885,1298805,1300735,1302651,1304567,1306487,1308385,1310304,1312222,1314137,1316055,1317988,1319913,1321825,1323730,1325653,1327587,1329517,1331444,1333379,1335297,1337226,1339135,1341069,1342994,1344856,1346516,1348136,1349798,1351460,1353098,1354747,1356390,1358077,1359693,1361290,1362884,1364425,1366119,1367954,1369784,1371617,1373463,1375313,1377156,1378998,1380838,1382666,1384503,1386354,1388189,1390032,1391874,1393705,1395522,1397349,1399201,1401031,1402869,1404691,1406506,1408331,1410179,1412042,1413896,1415749,1417590,1419449,1421254,1423109,1424942,1426769,1428620,1430483,1432281,1434111,1435937,1437771,1439604,1441429,1443259,1445113,1446971,1448796,1450652,1452524,1454377,1456211,1458038,1459886,1461722,1463563,1465437,1467281,1469131,1470960,1472396,1473629,1474444,1475915,1477266,1478206,1479369,1480325,1481480,1482557,1483698,1484730,1485543,1486791,1488034,1489149,1490231,1491177,1492359,1493495,1494516,1495562,1496591,1497650,1498571,1499495,1500446,1501264,1502244,1503309,1504337,1505652,1506435,1507077,1508204,1509364,1510609,1511533,1512496,1513668,1514741,1515708,1516705,1517933,1519061,1519879,1520854,1521609,1522737,1523728,1524808,1525988,1526999,1528209,1529370,1530523,1531372,1532332,1533392,1534475,1535246,1536242,1537263,1538466,1539643,1540704,1541882,1542953,1544068,1545137,1546338,1547253,1548072,1549014,1549701,1550872,1552226,1552838,1553713,1554704,1555632,1556792,1557830,1559037,1560232,1561261,1562336,1563372,1564455,1565495,1566642,1567579,1568671,1569975,1571359,1572353,1573559,1574202,1575089,1576110,1576619,1577497,1578640,1579454,1580378,1581174,1581928,1582545,1583310,1584096,1584877,1585695,1586389,1586921,1587764,1588980,1590027,1591247,1592522,1593696,1594219,1595162,1596528,1597980,1599149,1599506,1600355,1601194,1602227,1603005,1603897,1605072,1606086,1607302,1608376,1608792,1609546,1610414,1611394,1612321,1613245,1614472,1615425,1616331,1617466,1618616,1619891,1620764,1621877,1622970,1624184,1625183,1626180,1627745,1629256,1630772,1632417,1634113,1635830,1637526,1639272,1641013,1642777,1644514,1646279,1648028,1649801,1651571,1653336,1655027,1656710,1658431,1660134,1661821,1663524,1665213,1666895,1668607,1670285,1671971,1673669,1675348,1677037,1678735,1680435,1682080,1683763,1685467,1687145,1688858,1690557,1692239,1693938,1695637,1697336,1699049,1700754,1702433,1704121,1705842,1707541,1709204,1710894,1712575,1714276,1715979,1717652,1719347,1721045,1722742,1724415,1726121,1727809,1729486,1731201,1732916,1734602,1736303,1738009,1739685,1741376,1743074,1744792,1746507,1748188,1749900,1751591,1753294,1754952,1756652,1758351,1760031,1761730,1763424,1765107,1766780,1768454,1770145,1771863,1773555,1775264,1776966,1778656,1780354,1782046,1783743,1785427,1787115,1788787,1790493,1792200,1793901,1795598,1797297,1798981,1800691,1802376,1804074,1805775,1807463,1809129,1810827,1812532,1814227,1815893,1817584,1819276,1820970,1822651,1824343,1826043,1827736,1829423,1831130,1832839,1834533,1836228,1837932,1839621,1841343,1843024,1844709,1846427,1848120,1849822,1851489,1853190,1854880,1856576,1858246,1859932,1861631,1863348,1865039,1866713,1868408,1870110,1871762,1873422,1875107,1876784,1878478,1880191,1881874,1883577,1885263,1886955,1888665,1890401,1892114,1893358,1894933,1896736,1898557,1900020,1901035,1902367,1903033,1903687,1904345,1904975,1905622,1906671,1908254,1909110,1909747,1910388,1911027,1911675,1912551,1913941,1915301,1916637,1918053,1919445,1920786,1922270,1923437,1924524,1925706,1926974,1928078,1929176,1930488,1931882,1933349,1934744,1936114,1937508,1938863,1940258,1941621,1942985,1944383,1945746,1947134,1948518,1949861,1951250,1952618,1953994,1955389,1956781,1958161,1959542,1960924,1962298,1963686,1965076,1966453,1967813,1969197,1970590,1971977,1973363,1974728,1976088,1977456,1978816,1980193,1981584,1982947,1984327,1985758,1986383,1986858,1987292,1987738,1988143,1988630,1989062,1989523,1989971,1990397,1990821,1991273,1991769,1992231,1992680,1993164,1993570,1993993,1994562,1995073,1995586,1996032,1996558,1997089,1997554,1998087,1998618,1999707,2000211,2000717,2001181,2001630,2002096,2002570,2003026,2003524,2004021,2004445,2004896,2005377,2005860,2006324,2006782,2007231,2007643,2008107,2008719,2009252,2009778,2010262,2010774,2011305,2011820,2012369,2012920,2014059,2015448,2016987,2018405,2019946,2021419,2022969,2024444,2025865,2027213,2028768,2030079,2031688,2032990,2034522,2035829,2037429,2038714,2040270,2041590,2043175,2044464,2045998,2047434,2049007,2050258,2051798,2053238,2054695,2056044,2057487,2059013,2060320,2061720,2063280,2064768,2066141,2067545,2068934,2070422,2071696,2073119,2074641,2076055,2077367,2078869,2080262,2081772,2083215,2084633,2085931,2087435,2088919,2090359,2091865,2093302,2094602,2095950,2097299,2098702,2100079,2101473,2102691,2103520,2104311,2105068,2105850,2106642,2107414,2108192,2109375,2110953,2112550,2114149,2115736,2117291,2118859,2120405,2121943,2123472,2125058,2126651,2128212,2129810,2131403,2133014,2134617,2136191,2137770,2139366,2140952,2142527,2144102,2145682,2147274,2148819,2150371,2151934,2153475,2154998,2156554,2158107,2159647,2161201,2162774,2164340,2165879,2167415,2168974,2170137,2171258,2172390,2173483,2174569,2175653,2176735,2178301,2179875,2181432,2183014,2184624,2186218,2187784,2189356,2190909,2192472,2194066,2195636,2197239,2198797,2200395,2202003,2203590,2205177,2206767,2208370,2209975,2211534,2212656,2213724,2214742,2215533,2216418,2217375,2218444,2219414,2220268,2221275,2222256,2223461,2224336,2225261,2226252,2227217,2228123,2229205,2230270,2231227,2232279,2233417,2234392,2235328,2236319,2237307,2238275,2239206,2240187,2241114,2242013,2243064,2244091,2245097,2246032,2247019,2248079,2249136,2250302,2251191,2252175,2253248,2254196,2255297,2256266,2257134,2258071,2258951,2259968,2260846,2261893,2262836,2263811,2264765,2265832,2266878,2268136,2269315,2270216,2271229,2272379,2273365,2274513,2275646,2276596,2277501,2278572,2279607,2280694,2281678,2282682,2283619,2284614,2285719,2286790,2287811,2288886,2289898,2290872,2291961,2292978,2294146,2295153,2296423,2297528,2299422,2301309,2303220,2305123,2307009,2308901,2310791,2312706,2314596,2316469,2318352,2320262,2322150,2324053,2325968,2327867,2329763,2331640,2333541,2335448,2337362,2339247,2341140,2343034,2344908,2346802,2348692,2350590,2352473,2354370,2356273,2358168,2360062,2361965,2363868,2365769,2367656,2369551,2371430,2373329,2375234,2377119,2379023,2380906,2382789,2384696,2386575,2388477,2390371,2392259,2394171,2396063,2397959,2399848,2401775,2403666,2405555,2407450,2409350,2411242,2413137,2415037,2416922,2418811,2420695,2422603,2424490,2426372,2428305,2430190,2432103,2433999,2435871,2437768,2439673,2441572,2443472,2445348,2447239,2449128,2451029,2452926,2454802,2456696,2458600,2460492,2462377,2464267,2466137,2468034,2469918,2471812,2473702,2475620,2477524,2479405,2481293,2483186,2485086,2486979,2488871,2490766,2492664,2494561,2496442,2498323,2500220,2502143,2504053,2505958,2507844,2509745,2511637,2513535,2515446,2517362,2519257,2521145,2523037,2524926,2526820,2528711,2530615,2532502,2534405,2536299,2538211,2540113,2542029,2543927,2545799,2547700,2549609,2551494,2553379,2555272,2557160,2559071,2560964,2562848,2564742,2566641,2568548,2570443,2572340,2574239,2576125,2578023,2579927,2581825,2583703,2585620,2587506,2589399,2591295,2593184,2595074,2596971,2598862,2600740,2602626,2604511,2606393,2608303,2610207,2612092,2613985,2615859,2617763,2619655,2621561,2623465,2625398,2627276,2629192,2631083,2632976,2634875,2636751,2638627,2640518,2642419,2644299,2646184,2648076,2649984,2651885,2653778,2655676,2657570,2659461,2661363,2663250,2665139,2667030,2668923,2670827,2672733,2674630,2676497,2678386,2680288,2682170,2684065,2685981,2687892,2689775,2691680,2693574,2695473,2697382,2699277,2701170,2703067,2704945,2706835,2708726,2710617,2712507,2714419,2716319,2718222,2720122,2722023,2723937,2725818,2727694,2729568,2731475,2733359,2735251,2737121,2739024,2740912,2742829,2744723,2746621,2748509,2750396,2752291,2754186,2756092,2757983,2759889,2761801,2763703,2765595,2767489,2769385,2771272,2773172,2775068,2776982,2778865,2780752,2782658,2784567,2786458,2788340,2790240,2792131,2794035,2795944,2797842,2799748,2801655,2803525,2805424,2807319,2809223,2811120,2813010,2814899,2816809,2818712,2820604,2822494,2824399,2826307,2828180,2830063,2831927,2833828,2835720,2837594,2839499,2841401,2843307,2845192,2847097,2848993,2850899,2852818,2854705,2856600,2858477,2860376,2862243,2864147,2866036,2867933,2869821,2871715,2873616,2875506,2877416,2879318,2881205,2883084,2884966,2886859,2888752,2890637,2892545,2894424,2896332,2898217,2900095,2901984,2903900,2905808,2907703,2909621,2911525,2913424,2915320,2917220,2919117,2921020,2922890,2924780,2926699,2928588,2930482,2932368,2934256,2936146,2938037,2939907,2941780,2943681,2945595,2947474,2949361,2951242,2953118,2955011,2956930,2958821,2960703,2962581,2964483,2966372,2968259,2970166,2972055,2973964,2975855,2977750,2979659,2981573,2983469,2984810,2985985,2987038,2988126,2989271,2990320,2991321,2992171,2993266,2994167,2994915,2995730,2996754,2997526,2998482,2999557,3000430,3001347,3002289,3003428,3004500,3005617,3006559,3007396,3008180,3009052,3010063,3011097,3012195,3013203,3014399,3015385,3016558,3017596,3018495,3019418,3020209,3021067,3021985,3022845,3023788,3024793,3025766,3026514,3027474,3028536,3029385,3030262,3031323,3032433,3033462,3034345,3035314,3036387,3037389,3038398,3039523,3040363,3041368,3042327,3043470,3044404,3045423,3046188,3047101,3048231,3049013,3049874,3050809,3051726,3052826,3053896,3054914,3055894,3056949,3057824,3058882,3059813,3060884,3061897,3062786,3063903,3064917,3065897,3066775,3067699,3068757,3069870,3070926,3071855,3072911,3073794,3074893,3075790,3076682,3077567,3078492,3079495,3080558,3081540,3082416,3083293,3084450,3085374,3086336,3087422,3088364,3089297,3090257,3091389,3092470,3093466,3094431,3095484,3096483,3097341,3098473,3099384,3100559,3101559,3102574,3103583,3104483,3105212,3106349,3107402,3108422,3109414,3110439,3111229,3112298,3113298,3114437,3115312,3116249,3117116,3118048,3119004,3120078,3121015,3122030,3123051,3124261,3125015,3126019,3126976,3127925,3128956,3130052,3130987,3131941,3132915,3133932,3135105,3136176,3137340,3138419,3139416,3140403,3141313,3142326,3143328,3144319,3145023,3146010,3147147,3148174,3149137,3150121,3151243,3152451,3153150,3154121,3155057,3156101,3156927,3157859,3158875,3159775,3160532,3161578,3162578,3163689,3164769,3165611,3166670,3167659,3168553,3169693,3170739,3171787,3172638,3173680,3174468,3175130,3176156,3177087,3178056,3178931,3179912,3180872,3181806,3182829,3183813,3184664,3185677,3186600,3187615,3188619,3189788,3190653,3191676,3192454,3193472,3194610,3195540,3196541,3197447,3198532,3199451,3200422,3201592,3202756,3203740,3204703,3205708,3206745,3207825,3208922,3209720,3210782,3212237,3214065,3215786,3217412,3219091,3220745,3222337,3223982,3225760,3227474,3229148,3230809,3232550,3234230,3235994,3237731,3239300,3240969,3242665,3244305,3246072,3247702,3249467,3251100,3252839,3254539,3256271,3258093,3259827,3261406,3263139,3264743,3266464,3268274,3270004,3271702,3273264,3274923,3276527,3278356,3280018,3281728,3283344,3285001,3286675,3288469,3290134,3291795,3293595,3295293,3296985,3298719,3300490,3302084,3303925,3305509,3307255,3308918,3310751,3312553,3314291,3316033,3317821,3319552,3321357,3323056,3324739,3326440,3328114,3329801,3331470,3332814,3333867,3334936,3335897,3337067,3338211,3339168,3340158,3341078,3342108,3343272,3344441,3345523,3346522,3347439,3348569,3349532,3350490,3351452,3352490,3353486,3354507,3355545,3356536,3357563,3358713,3359623,3360653,3361646,3362617,3363762,3364799,3365857,3366903,3368023,3369103,3370139,3371170,3372270,3373214,3374283,3375276,3376416,3377443,3378419,3379383,3380522,3381520,3382520,3383477,3384543,3385546,3386547,3387521,3388590,3389451,3390375,3391494,3392416,3393293,3394156,3395337,3396281,3397353,3398389,3399387,3400446,3401424,3402478,3403364,3404286,3405210,3406314,3407325,3408389,3409414,3410403,3411503,3412436,3413385,3414352,3415351,3416394,3417540,3418628,3419632,3420663,3421714,3422880,3423847,3424971,3426019,3426944,3427944,3429082,3430203,3431227,3432274,3433503,3434425,3435356,3436369,3437294,3438173,3439202,3440223,3441238,3442057,3443018,3443942,3445094,3446024,3447199,3448131,3449086,3450046,3451093,3452056,3453038,3454256,3455315,3456380,3457530,3458747,3459889,3461079,3461892,3462395,3462909,3463431,3463948,3464484,3465008,3465523,3466046,3466573,3467092,3467625,3468151,3468658,3469169,3469674,3470201,3470862,3471462,3472061,3472669,3473277,3473875,3474463,3475433,3476513,3477111,3478114,3478861,3479713,3480523,3481331,3482060,3482917,3484203,3485076,3486388,3487548,3488538,3489866,3491055,3491482,3492192,3492920,3493867,3494786,3495750,3496527,3496987,3497679,3498641,3499708,3501071,3502374,3503588,3504537,3505632,3506352,3507042,3507954,3509341,3510343,3511421,3512549,3513497,3514488,3515385,3516199,3517101,3518177,3519546,3520814,3522213,3523641,3524730,3525889,3526927,3527546,3528652,3529795,3530229,3531064,3531887,3532724,3533437,3534339,3535318,3536509,3537710,3538764,3539697,3540509,3541497,3542612,3543601,3544659,3545666,3546784,3547832,3548917,3549699,3550657,3551856,3553137,3554288,3555666,3557137,3558593,3560078,3561582,3563063,3564528,3565995,3567468,3568933,3570391,3571893,3572447,3573413,3574818,3575510,3576852,3578193,3579048,3580133,3581315,3582536,3583732,3584766,3585781,3586815,3588072,3589170,3590223,3591316,3592395,3593352,3594547,3595791,3596795,3597900,3599171,3600399,3601575,3602911,3603872,3604921,3606050,3607169,3608094,3608769,3609406,3610065,3611067,3612027,3613025,3613807,3614677,3615503,3616462,3617292,3617998,3618658,3619683,3620794,3621226,3621908,3623109,3624255,3625271,3626390,3627552,3628679,3629098,3629827,3630634,3631888,3633035,3634165,3635196,3636535,3637423,3638043,3639417,3640346,3641181,3642138,3643058,3643721,3644614,3645423,3646481,3647829,3649488,3651233,3652983,3654706,3656432,3658136,3659862,3661536,3663395,3665269,3667151,3669041,3670442,3671413,3672486,3673528,3674525,3675409,3676470,3677632,3678557,3679661,3680778,3681942,3683118,3684106,3684956,3685780,3686617,3687410,3688436,3689641,3690817,3691684,3692611,3693537,3694656,3695731,3696763,3698138,3699343,3700750,3701620,3702479,3703410,3704662,3706206,3707984,3709762,3711570,3713406,3715210,3716801,3718461,3720099,3721776,3723369,3725117,3726770,3728356,3730014,3731720,3733491,3735317,3737130,3738931,3740707,3742591,3744457,3746291,3747593,3748803,3750324,3751866,3753619,3755507,3756723,3757585,3758640,3759582,3760631,3761644,3763034,3764613,3765424,3766981,3768583,3770028,3771138,3772376,3773654,3774956,3776280,3777035,3778232,3779393,3780685,3782021,3783148,3784274,3785661,3786991,3788031,3789032,3790166,3791304,3792467,3793520,3794655,3795661,3796765,3797877,3798881,3799846,3800823,3801745,3802773,3803888,3804926,3805988,3807198,3808251,3809309,3810599,3811799,3812983,3814298,3815679,3816499,3817643,3818614,3819587,3820761,3822056,3823249,3824553,3825312,3826293,3826642,3827425,3828419,3829549,3830798,3832071,3833354,3834487,3835469,3836565,3837720,3838731,3839874,3840647,3841573,3842554,3843698,3844773,3845732,3846760,3847721,3848869,3849472,3850375,3851562,3852732,3853747,3854840,3855821,3857001,3858329,3859509,3860524,3861613,3862613,3863797,3865126,3866297,3867424,3868324,3869317,3870595,3871495,3872566,3873374,3874234,3874980,3875649,3876375,3877563,3878139,3879393,3880269,3881373,3882457,3883387,3884378,3885340,3886482,3887901,3888994,3890191,3891172,3892553,3893798,3894986,3896065,3897238,3898272,3899265,3900301,3901258,3902159,3903109,3903996,3904926,3905877,3906863,3907851,3909290,3910874,3912455,3913997,3915517,3916876,3918249,3919547,3920710,3922173,3923593,3924976,3926398,3927779,3929084,3930464,3931862,3933186,3934587,3935950,3937276,3938683,3940085,3941225,3942179,3943033,3944015,3944969,3945904,3946837,3947762,3948740,3950420,3952254,3954130,3955979,3957775,3959177,3960641,3962181,3963620,3965215,3966343,3967492,3968616,3969738,3970861,3972005,3973109,3974211,3975300,3976406,3977540,3978680,3979791,3980904,3982009,3983685,3985425,3987155,3988713,3989890,3991104,3992335,3993556,3994786,3996047,3997361,3998669,3999983,4001294,4002607,4003912,4005199,4006566,4007921,4009272,4010612,4011916,4013292,4014651,4016010,4017367,4018689,4019878,4021029,4022179,4023307,4024479,4025649,4026775,4027908,4029126,4030346,4031538,4032793,4034056,4035327,4036565,4037792,4039040,4040281,4041604,4042873,4044172,4045457,4046726,4048016,4049331,4050653,4051964,4053274,4054574,4055881,4057492,4059345,4061230,4063156,4065066,4066932,4068715,4070455,4072142,4073888,4075658,4077397,4079146,4080867,4081819,4082777,4083722,4084640,4085580,4086542,4087492,4088647,4089638,4090353,4090986,4091982,4093101,4094149,4095026,4095766,4096640,4097918,4099236,4100460,4101755,4103164,4104462,4105765,4107052,4108435,4109903,4111265,4112641,4113857,4114979,4116428,4117904,4119237,4120411,4121663,4122861,4123753,4124867,4126163,4127728,4129013,4129929,4131160,4132589,4133954,4135338,4136628,4137856,4138896,4140221,4141432,4142476,4143844,4145289,4146540,4147949,4149330,4150805,4152093,4153367,4154852,4156094,4157509,4159004,4160337,4161812,4163136,4164579,4165906,4167335,4168628,4170063,4171200,4172577,4173835,4175256,4176727,4177965,4179412,4180852,4182300,4183575,4184941,4186337,4187543,4188980,4190426,4191884,4193146,4194614,4196072,4197458,4198824,4200026,4201397,4202718,4203702,4204740,4205662,4206710,4207955,4208819,4209912,4211117,4212213,4213094,4214316,4215517,4216908,4218031,4219061,4220151,4221295,4222350,4223621,4224765,4225363,4226665,4227931,4229226,4230468,4231688,4232986,4234249,4235490,4236717,4237969,4239217,4240508,4241849,4243149,4244358,4245683,4246942,4248228,4249517,4250859,4252134,4253379,4254691,4255917,4257145,4258460,4259715,4261017,4262243,4263705,4265084,4266472,4267852,4269249,4270694,4272127,4273515,4274934,4276429,4277883,4279299,4280703,4282107,4283557,4284938,4286326,4287774,4289170,4290548,4291969,4293385,4294837,4296245,4297663,4299070,4300508,4301986,4303463,4304883,4306304,4307696,4309166,4310540,4311987,4313424,4314944,4316424,4317810,4319256,4320656,4322109,4323563,4325016,4326442,4327892,4329327,4330805,4332175,4333555,4334939,4336403,4337833,4339318,4340743,4342163,4343677,4345130,4346640,4348065,4349499,4350876,4352309,4353695,4355130,4356576,4357951,4359352,4360760,4362214,4363670,4365024,4366337,4367668,4369042,4370472,4371902,4373329,4374703,4376141,4377627,4379056,4380425,4381800,4383219,4384577,4386002,4387420,4388877,4390316,4391748,4393177,4394516,4395879,4397356,4398779,4400182,4401558,4402875,4404283,4405734,4407130,4408568,4409991,4411386,4412845,4414274,4415716,4417095,4418519,4420001,4421465,4422880,4424286,4425694,4427186,4428648,4430068,4431468,4432867,4434331,4435819,4437227,4438594,4439923,4441330,4442746,4444175,4445596,4447014,4448506,4449979,4451355,4452824,4454239,4455685,4457123,4458468,4459895,4461265,4462654,4464106,4465479,4466887,4468310,4469727,4471163,4472580,4474022,4475388,4476861,4478280,4479743,4481225,4482619,4484047,4485444,4486642,4487888,4489160,4490056,4491069,4492227,4493530,4494576,4495810,4497058,4498006,4499077,4500270,4501269,4502311,4503493,4504677,4505486,4506549,4507628,4508955,4510119,4511663,4513448,4515326,4517223,4519103,4520993,4522866,4524769,4526638,4528509,4530370,4532248,4534142,4536011,4537877,4539765,4541645,4543515,4545400,4547257,4549126,4551003,4552879,4554757,4556652,4558529,4560406,4562297,4564174,4566041,4567922,4569804,4571676,4573558,4575441,4577307,4579180,4581071,4582955,4584836,4586710,4588595,4590456,4592335,4594198,4596068,4597931,4599801,4601681,4603541,4605419,4607310,4609189,4611053,4612939,4614804,4616665,4618536,4620421,4622304,4624180,4626068,4627943,4629834,4631698,4633578,4635453,4637325,4639193,4641078,4642957,4644843,4646728,4648607,4650484,4652376,4654257,4656145,4658031,4659903,4661790,4663658,4665543,4667410,4669281,4671156,4673031,4674908,4676773,4678663,4680556,4682411,4684301,4686178,4688057,4689941,4691811,4693682,4695564,4697430,4699298,4701178,4703050,4704930,4706810,4708690,4710554,4712433,4714301,4716183,4718065,4719914,4721798,4723679,4725565,4727437,4729316,4731188,4733063,4734943,4736814,4738656,4740528,4742416,4744284,4746158,4748030,4749906,4751792,4753652,4755526,4757408,4759262,4761161,4763041,4764916,4766797,4768662,4770541,4771798,4772755,4773862,4774665,4775644,4776424,4777164,4778010,4778771,4779866,4780225,4781138,4781970,4782956,4784160,4785117,4786201,4787232,4788045,4789025,4790181,4791131,4791943,4792966,4793941,4795127,4796597,4797893,4798802,4799908,4801059,4802218,4803255,4804285,4805550,4806256,4807219,4808491,4809693,4810677,4811484,4812515,4813572,4814552,4815393,4816375,4817420,4818376,4819428,4820093,4820758,4821875,4822716,4823772,4824955,4826144,4827453,4828711,4829538,4830678,4831794,4832949,4833927,4834932,4835803,4836976,4838191,4839398,4840300,4841175,4842283,4843411,4844446,4845343,4846410,4847750,4848878,4850087,4851232,4852017,4853255,4854381,4855521,4856413,4857493,4858491,4859400,4860198,4861399,4862324,4863623,4864575,4865393,4866560,4867702,4868575,4869449,4870634,4871810,4873100,4874441,4875883,4876912,4877670,4878690,4879584,4880704,4881730,4882817,4883792,4885024,4886216,4887412,4888552,4889676,4890743,4892120,4893411,4894495,4895355,4896170,4897201,4898431,4899463,4900665,4901476,4902260,4903349,4904267,4905365,4906440,4907328,4908546,4909791,4910392,4911017,4911662,4912516,4913290,4914498,4915729,4916906,4918207,4919130,4920227,4921115,4922055,4922800,4924020,4925225,4926577,4927589,4928550,4929736,4930763,4931958,4933183,4934415,4935618,4936790,4937623,4938323,4939107,4939909,4940973,4941997,4942954,4944253,4945390,4946386,4947701,4948800,4949798,4950972,4951909,4952957,4953813,4954773,4955816,4956503,4957552,4958600,4959298,4960230,4961380,4961902,4962698,4963436,4964222,4965330,4966410,4967245,4967932,4968524,4969145,4970370,4971494,4972462,4973678,4974562,4975689,4976566,4977885,4979021,4980080,4981202,4982431,4983262,4984087,4985323,4986314,4987360,4988638,4989438,4990389,4991584,4992816,4993636,4994368,4995512,4996138,4996834,4997584,4999162,5000283,5001350,5002173,5003131,5004010,5004962,5005760,5006257,5007539,5008333,5009236,5010323,5011061,5012285,5013475,5014673,5015872,5017047,5018260,5019478,5020672,5021871,5023086,5024298,5025492,5026714,5027941,5029133,5030335,5031542,5032760,5033982,5035170,5036388,5037598,5038783,5039982,5041167,5042373,5043576,5044763,5045978,5047190,5048396,5049588,5050804,5052002,5053222,5054426,5055628,5056841,5058043,5059239,5060409,5061598,5062816,5064011,5065177,5066392,5067609,5068792,5069991,5071180,5072403,5073600,5074800,5076008,5077199,5078402,5079600,5080781,5081984,5083195,5084404,5085619,5086843,5088046,5089252,5090442,5091670,5092881,5094093,5095264,5096454,5097654,5098854,5100063,5101266,5102495,5103692,5104921,5106122,5107326,5108522,5109705,5110876,5112093,5113286,5114494,5115701,5116893,5118113,5119331,5120516,5121726,5122919,5124124,5125342,5126544,5127748,5128940,5130155,5131353,5132562,5133764,5134971,5136182,5137405,5138822,5140041,5141354,5142224,5143360,5144510,5145944,5147458,5148888,5150538,5151497,5152865,5153883,5154954,5155699,5156266,5157590,5159017,5160423,5161796,5163217,5165090,5166986,5168859,5170734,5172612,5174491,5176379,5178256,5180129,5181983,5183858,5185750,5187625,5189493,5191384,5193254,5195119,5197001,5198882,5200771,5202665,5204524,5206407,5208285,5210164,5212059,5213941,5215798,5217688,5219562,5221420,5223304,5225186,5227064,5228927,5230806,5232681,5234568,5236451,5238336,5240223,5242109,5243989,5245863,5247731,5249605,5251465,5253336,5255219,5257086,5258953,5260832,5262713,5264578,5266447,5268311,5270179,5272051,5273939,5275798,5277681,5279561,5281429,5283308,5285186,5287064,5288919,5290798,5292684,5294574,5296464,5298336,5300211,5302075,5303948,5305826,5307704,5309582,5311473,5313336,5315203,5317066,5318922,5320802,5322679,5324556,5326439,5328319,5330201,5332075,5333937,5335804,5337666,5339556,5341441,5343308,5345175,5347037,5348911,5350795,5352671,5354548,5356427,5358321,5360185,5362055,5363944,5365821,5367702,5369565,5371438,5373315,5375199,5377089,5378968,5380850,5382728,5384607,5386501,5388363,5390220,5392085,5393958,5395820,5397699,5399580,5401451,5403315,5405185,5407056,5408930,5410806,5412694,5414561,5416457,5418331,5420196,5422003,5423265,5424137,5424974,5425781,5426626,5427448,5428222,5429021,5429822,5430664,5431510,5432352,5434005,5435790,5437599,5439359,5441183,5442955,5444780,5446567,5448348,5450146,5451918,5453673,5455450,5457236,5457876,5458179,5458526,5458770,5459241,5460793,5462348,5463940,5465613,5467330,5469127,5471003,5472851,5474706,5476467,5478179,5479973,5481762,5482672,5483885,5484993,5486087,5486950,5487933,5489101,5489973,5490524,5491259,5492089,5492756,5493631,5494502,5495640,5496275,5497329,5498398,5499097,5499908,5500997,5502251,5503462,5504744,5505919,5506713,5507524,5508686,5509428,5510068,5510847,5511530,5512385,5513561,5514436,5515134,5515717,5516576,5517513,5518283,5519197,5520011,5521142,5521996,5522997,5523732,5524725,5525743,5526364,5527481,5528485,5529500,5530362,5531570,5532820,5534081,5535292,5536468,5537532,5538266,5539376,5540696,5541700,5542788,5543779,5544618,5545864,5547046,5548415,5549402,5550498,5551437,5552494,5553592,5554394,5555499,5556823,5558017,5558714,5559465,5560562,5561431,5562365,5563613,5564576,5565689,5566571,5567604,5568389,5569407,5570176,5571056,5572003,5572864,5573451,5574258,5575039,5575799,5576465,5577344,5578209,5579093,5580022,5580874,5581359,5582056,5582932,5583591,5584731,5585780,5586634,5587382,5588557,5589328,5590645,5591854,5592648,5593383,5594134,5594753,5595900,5596664,5597582,5598627,5599392,5600146,5600827,5601710,5602381,5603312,5604289,5604939,5605936,5606997,5608303,5609955,5611490,5613040,5614541,5615948,5617366,5618781,5620194,5621582,5623128,5624608,5626137,5627654,5629143,5630481,5631345,5631878,5632537,5633617,5634667,5636015,5637265,5638197,5639457,5640647,5641861,5643253,5644088,5644891,5645602,5646434,5647428,5648337,5649179,5650401,5651672,5652870,5653533,5654603,5655548,5656725,5657879,5658817,5660252,5661710,5662889,5663743,5664723,5665654,5666728,5667914,5668584,5669538,5670245,5671063,5672038,5673118,5674166,5675426,5676591,5677769,5678916,5680054,5681217,5682399,5683659,5684883,5686170,5687288,5688437,5689339,5690332,5691769,5693317,5694133,5695006,5695827,5696917,5698298,5699618,5701063,5701790,5703199,5704469,5705585,5706760,5708208,5709364,5710501,5710787,5711486,5712493,5713494,5714879,5716475,5718090,5719754,5721273,5722729,5724180,5725610,5727091,5728476,5729871,5731266,5732272,5733594,5734655,5736010,5737363,5738686,5740040,5741380,5742613,5744058,5744956,5746082,5747317,5748284,5749328,5750343,5751503,5752509,5753672,5755217,5756804,5758181,5759052,5759970,5760888,5761962,5763049,5763997,5765668,5767398,5769068,5770811,5772566,5774231,5775919,5777612,5779376,5781077,5782823,5784516,5786295,5788028,5789821,5791560,5793312,5795050,5796787,5798454,5799764,5801118,5802530,5804156,5805749,5807332,5808619,5810212,5811797,5813258,5814729,5816010,5817457,5818815,5820607,5822419,5824211,5826041,5827864,5829673,5830803,5831952,5833047,5833820,5834591,5835852,5836979,5838143,5839358,5840208,5841247,5842191,5842916,5844212,5844982,5845479,5846227,5846917,5847581,5848267,5849270,5850316,5851334,5851992,5852599,5853210,5854476,5855402,5856448,5857709,5858842,5859636,5860811,5861817,5862880,5863638,5864511,5865451,5866600,5867746,5868752,5869608,5870690,5871465,5872427,5873477,5874248,5875334,5876245,5876991,5878138,5879057,5879944,5880958,5882042,5883053,5883941,5885112,5886317,5887035,5888030,5888886,5889487,5890572,5891438,5891936,5893078,5893929,5894517,5895620,5896490,5897132,5898031,5898971,5899639,5900541,5901788,5902529,5903808,5904580,5905667,5906700,5907752,5909046,5910019,5911218,5912220,5913217,5914414,5915186,5915914,5916638,5917483,5918366,5919329,5920350,5921450,5922441,5923617,5924697,5925680,5926619,5927663,5928714,5929682,5930927,5932088,5933237,5934443,5935775,5937186,5938468,5939835,5941224,5942447,5943852,5945003,5945972,5947351,5948690,5950121,5951170,5952184,5953086,5954070,5955119,5956391,5957149,5957921,5958519,5959190,5960287,5961530,5962698,5964005,5964920,5966016,5967174,5968432,5969697,5971133,5972614,5973516,5974306,5975315,5976040,5976792,5978142,5979050,5979642,5980523,5981319,5982507,5983508,5984193,5985066,5986370,5987404,5988512,5989308,5990215,5991080,5991901,5992943,5993818,5994716,5995478,5996092,5997419,5998726,6000152,6001306,6002588,6003239,6004097,6005308,6006370,6007463,6008582,6009651,6010541,6011421,6012440,6013411,6014414,6015100,6015735,6016620,6017370,6018344,6019329,6020415,6021651,6022751,6023611,6024328,6025139,6025764,6027026,6027991,6029052,6029899,6030522,6031488,6032566,6033851,6034547,6035659,6036596,6037899,6038757,6039651,6040191,6041230,6042358,6043485,6044506,6045217,6046381,6047608,6048844,6049872,6051201,6052284,6053421,6054148,6055146,6056071,6057205,6057859,6058623,6059746,6060185,6061400,6062520,6063603,6064780,6065802,6066790,6067603,6068659,6069805,6071134,6071964,6073103,6073991,6074774,6075647,6076672,6077672,6078859,6080061,6081311,6082086,6083214,6084363,6085635,6086711,6087757,6088334,6088974,6089893,6090796,6091846,6092610,6093268,6094053,6095303,6096410,6097457,6098408,6099705,6100954,6101631,6102404,6103388,6104548,6105286,6105975,6106947,6107851,6108762,6109628,6110592,6111644,6112638,6113645,6114739,6115752,6116617,6117492,6118300,6118987,6120040,6120980,6122180,6123368,6124518,6125320,6126237,6127421,6128392,6129429,6130439,6131464,6132377,6133538,6134448,6135615,6136627,6137830,6138975,6139929,6140741,6141692,6142434,6143433,6144299,6144990,6145684,6146399,6147043,6147820,6148404,6149158,6149803,6150736,6151686,6152549,6153941,6154663,6155675,6156651,6157664,6158866,6160041,6160865,6161768,6162858,6163992,6164959,6165858,6166850,6167838,6168685,6169880,6170890,6171503,6172768,6173540,6174262,6175157,6175845,6176407,6177324,6177878,6178713,6179547,6180708,6181825,6182853,6183670,6184593,6185542,6186517,6187525,6188433,6189444,6190381,6191340,6192216,6193174,6194260,6195333,6196394,6197290,6198290,6199318,6200085,6200803,6201538,6202293,6203220,6204530,6205613,6206572,6207414,6208309,6209091,6209907,6210820,6211692,6212712,6213894,6214946,6216049,6216688,6217971,6218943,6219594,6220468,6221625,6222355,6223275,6224353,6224947,6225551,6226929,6227865,6228378,6229322,6230497,6231187,6231902,6232972,6234040,6235053,6236062,6237060,6238070,6239183,6240083,6241234,6242177,6243381,6244474,6245677,6246993,6248120,6249330,6249938,6250936,6252088,6253242,6254336,6255346,6256462,6257410,6258191,6259147,6260251,6261173,6262020,6262808,6263655,6264625,6265599,6266469,6267170,6267939,6268674,6269493,6270015,6270640,6271444,6272842,6273745,6274362,6274844,6276e3,6276732,6277249,6277888,6278811,6279776,6280264,6281017,6281761,6283097,6284042,6284835,6285720,6287038,6287967,6288873,6289811,6290818,6291932,6292915,6293973,6294848,6295952,6297129,6298058,6299063,6300266,6301254,6302374,6303401,6304420,6305481,6306503,6307508,6308476,6309633,6310557,6311725,6312977,6314107,6315533,6316738,6317840,6318842,6319871,6320859,6322022,6323074,6324136,6325350,6326425,6327526,6328595,6329662,6330898,6332010,6333159,6334330,6335636,6336818,6338086,6339024,6340103,6341392,6342532,6344097,6345203,6346852,6347628,6348564,6349456,6350145,6351702,6352831,6354407,6355966,6357098,6358169,6359708,6360755,6362078,6363254,6364998,6365785,6366613,6367400,6368276,6369046,6369887,6370707,6371591,6372460,6373367,6374193,6375234,6377007,6378359,6379556,6381083,6382423,6383963,6385546,6387259,6388993,6390689,6392115,6393558,6395057,6396542,6397743,6398902,6400633,6402427,6404202,6405933,6407681,6409415,6411161,6412885,6414598,6416334,6418029,6419733,6421345,6422163,6423465,6424909,6426314,6427691,6429034,6430429,6431815,6433204,6434589,6435976,6437356,6438696,6440032,6441399,6442737,6444063,6445380,6446678,6447872,6448918,6450394,6451876,6453338,6454718,6456053,6457338,6458751,6460157,6461580,6462902,6464247,6465590,6466929,6468156,6469337,6470799,6472361,6473815,6475397,6476577,6477439,6478331,6479229,6480066,6481335,6482722,6484085,6485425,6486758,6488053,6489359,6490634,6491896,6493157,6494371,6495505,6496638,6497881,6498793,6499799,6500696,6501560,6502442,6503321,6504503,6505944,6507351,6508767,6510181,6511508,6512705,6513926,6515139,6516398,6517594,6518606,6519505,6520758,6522026,6523246,6524429,6525581,6526882,6528209,6529545,6530839,6532141,6533358,6534815,6536325,6537750,6539103,6540468,6541812,6543153,6544516,6545880,6547050,6548111,6549176,6550630,6552100,6553499,6554888,6556218,6557523,6558736,6559920,6561126,6562321,6563484,6564659,6565831,6567043,6568180,6569388,6570573,6571764,6573006,6574225,6575509,6576844,6578067,6578843,6579306,6579784,6580250,6580711,6581156,6581620,6582087,6582554,6583007,6583454,6583900,6584362,6584823,6585257,6585727,6586185,6586648,6587074,6587535,6587992,6588447,6588910,6589356,6589811,6590243,6590695,6591146,6591581,6592023,6592939,6594202,6595440,6596905,6598302,6599703,6601098,6602484,6603908,6605320,6606669,6608084,6609488,6610897,6612309,6613686,6615086,6616414,6617825,6619225,6620644,6622037,6623439,6624846,6626226,6627638,6629027,6630406,6631830,6633185,6634895,6636756,6638632,6640489,6642352,6644232,6646090,6647916,6649766,6651616,6653490,6654998,6656321,6657655,6659042,6660410,6661705,6663126,6664524,6665879,6667283,6668646,6670059,6671465,6672839,6674238,6675586,6676995,6678376,6679788,6681207,6682581,6683984,6685359,6686743,6688129,6689490,6690880,6692243,6693600,6695014,6696399,6697805,6699213,6700566,6701975,6703362,6704784,6706188,6707575,6708982,6710369,6711786,6713196,6714583,6715993,6717370,6718750,6720134,6721527,6722894,6724215,6725545,6726889,6728231,6729612,6730960,6732361,6733791,6735167,6736527,6737877,6739285,6740681,6742100,6743474,6744868,6746269,6747628,6748977,6750576,6752081,6753464,6754820,6756073,6757310,6758532,6759789,6761049,6762301,6763484,6764687,6765893,6767138,6768356,6769600,6770870,6772081,6773254,6774478,6775716,6776905,6778166,6779420,6780639,6781814,6783032,6784236,6785404,6786680,6787921,6789153,6790345,6791551,6792791,6794012,6795267,6796516,6797753,6798917,6800138,6801347,6802552,6803790,6805037,6806261,6807456,6808638,6809877,6811080,6812296,6813546,6814770,6815962,6817171,6818391,6819617,6820848,6822106,6823324,6824508,6825712,6826931,6828143,6829389,6830651,6831949,6833237,6834550,6835918,6837429,6838509,6839868,6841298,6842364,6843407,6844473,6845533,6846731,6847820,6848971,6849997,6851014,6852046,6853104,6854207,6855369,6856622,6857831,6859060,6860316,6861342,6862298,6863290,6864334,6865468,6866331,6866993,6867769,6868842,6869873,6870861,6871848,6872773,6873965,6875131,6876229,6877296,6878350,6879426,6880723,6881984,6883211,6884410,6885571,6886730,6887879,6889123,6890164,6891045,6892018,6893212,6894575,6895803,6897032,6898219,6899365,6900434,6901478,6902535,6903631,6904688,6905722,6906781,6907807,6908853,6909922,6911007,6912060,6913172,6914360,6915533,6916740,6917971,6919590,6921133,6922714,6924219,6925718,6927186,6928597,6930013,6931319,6932575,6933803,6935047,6936318,6937542,6938775,6940030,6941277,6942553,6943786,6945011,6946272,6947513,6948794,6950017,6951245,6952503,6953759,6955055,6956328,6957580,6958812,6960041,6961304,6962568,6963818,6965042,6966265,6967558,6968840,6970118,6971356,6972572,6973822,6975068,6976360,6977606,6978841,6980069,6981309,6982656,6984005,6985375,6986731,6988121,6989528,6990980,6992457,6993930,6995247,6995777,6996282,6996768,6997208,6998147,6999147,7000756,7002184,7003802,7005404,7006842,7008416,7009937,7011534,7013128,7014658,7016164,7017763,7019351,7020873,7022422,7023847,7025472,7027102,7028548,7030144,7031651,7033212,7034792,7036231,7037825,7039372,7040816,7041971,7043488,7045007,7046458,7047893,7049297,7050684,7052077,7053485,7054850,7056283,7057727,7058906,7059892,7060895,7061878,7062877,7063839,7064821,7065789,7066783,7067746,7068983,7070368,7071763,7073091,7074397,7075741,7076819,7077716,7078684,7079684,7080711,7081653,7082629,7083790,7085107,7086434,7087419,7088215,7089456,7090573,7091806,7092881,7094e3,7095002,7096157,7097350,7098654,7100104,7101100,7103119,7105167,7107215,7109263,7111311,7113338,7115386,7117434,7119482,7121530,7123578,7125600,7127648,7129696,7131744,7133792,7135808,7137856,7139904,7141952,7144009,7146057,7148105,7150123,7152171,7154219,7156267,7158315,7160363,7162383,7164431,7166479,7168527,7170575,7172623,7174643,7176691,7178739,7180787,7182835,7184883,7186931,7188979,7191027,7193082,7195107,7197155,7199203,7201251,7203299,7205347,7207395,7209443,7211499,7213547,7215569,7217617,7219665,7221713,7223761,7225809,7227857,7229875,7231923,7233971,7236019,7238067,7240115,7242163,7244211,7246235,7248283,7250331,7252379,7254427,7256475,7258523,7260540,7262588,7264636,7266684,7268732,7270780,7272828,7274876,7276897,7278945,7280993,7283041,7285089,7287137,7289160,7291208,7293256,7295304,7297360,7299408,7301434,7303482,7305530,7307578,7309626,7311674,7313722,7315770,7317818,7319875,7321893,7323941,7325989,7328037,7330085,7332133,7334181,7336183,7338240,7340288,7342336,7344384,7346432,7348480,7350528,7352576,7354156,7355747,7357320,7358938,7360590,7362327,7364053,7365769,7367464,7369182,7370884,7372631,7374358,7376112,7377851,7379578,7381316,7383041,7384772,7386498,7388285,7390054,7391796,7393544,7395275,7397009,7398741,7400461,7402185,7403737,7405321,7406881,7408485,7410181,7411916,7413658,7415351,7417057,7418778,7420510,7422239,7423991,7425742,7427476,7429211,7430964,7432669,7434390,7436136,7437925,7439671,7441424,7443161,7444910,7446678,7448401,7450114,7451670,7452914,7454218,7455302,7456552,7457711,7458658,7459584,7460700,7461323,7462108,7463353,7464536,7465526,7466677,7467747,7469014,7470255,7471381,7472713,7473727,7474996,7476117,7476841,7477577,7478334,7479504,7480496,7481667,7482447,7483361,7484327,7485403,7486672,7487753,7488334,7489177,7490033,7490983,7492381,7493501,7494587,7495825,7496833,7497699,7498895,7499888,7500896,7501824,7502555,7503587,7504709,7505780,7507014,7508159,7509397,7510400,7511108,7512051,7512818,7513714,7514649,7515976,7517150,7518305,7519376,7520570,7521429,7522175,7523446,7524751,7525852,7526893,7527733,7528637,7530040,7531136,7532067,7533369,7534686,7535544,7536635,7537477,7538710,7539697,7540843,7542070,7542844,7543528,7544016,7544808,7545849,7546764,7547776,7548507,7549202,7550165,7550961,7551543,7552468,7553358,7553985,7554706,7555688,7556393,7557647,7559091,7560589,7562124,7563635,7565157,7566715,7568256,7569806,7571097,7571143,7571699,7573186,7574699,7576074,7577552,7579087,7580632,7582156,7583709,7585249,7586799,7588310,7588401,7588714,7590213,7591698,7593092,7594570,7596104,7597622,7599136,7600703,7602262,7603815,7605352,7605602,7605833,7607320,7608818,7610215,7611703,7613231,7614760,7616291,7617822,7619375,7620908,7622458,7622818,7623016,7624506,7625988,7627328,7628843,7630361,7631898,7633386,7634874,7636426,7637910,7639458,7640828,7642073,7643499,7645010,7646349,7647841,7649370,7650900,7652368,7653857,7655420,7656924,7658484,7659965,7661235,7662583,7664104,7665550,7667018,7668457,7669997,7671499,7673022,7674560,7676093,7677638,7679118,7679250,7680034,7681507,7682945,7684383,7685857,7687398,7688887,7690419,7691979,7693525,7695081,7696578,7696911,7697469,7698847,7700315,7701830,7703360,7704885,7706428,7707963,7709507,7711032,7711221,7711573,7713060,7714543,7715867,7717351,7718867,7720404,7721910,7723450,7725013,7726541,7728086,7728775,7728821,7730236,7731704,7733100,7734584,7736078,7737592,7739098,7740625,7742183,7743703,7745246,7746230,7746276,7747505,7748945,7750311,7751813,7753297,7754833,7756324,7757846,7759401,7760943,7762502,7763855,7763915,7764696,7765756,7766853,7767974,7769100,7770637,7771824,7772957,7773984,7775263,7776383,7777436,7778639,7780041,7781125,7782190,7783275,7784539,7785872,7787300,7788264,7789333,7790436,7791597,7792816,7794102,7795264,7796491,7797713,7798855,7800046,7801288,7802497,7803781,7805011,7806187,7807441,7808702,7809899,7810983,7812206,7813671,7814989,7816592,7818140,7819710,7821277,7822818,7824359,7825926,7827469,7829008,7830678,7832376,7833793,7834263,7834734,7835204,7835675,7836172,7836669,7837146,7838461,7839902,7841300,7842109,7842595,7843088,7843582,7844078,7844580,7845052,7845967,7847510,7849004,7850392,7851618,7852785,7854266,7855560,7856745,7858300,7860049,7861282,7862805,7864680,7866502,7868327,7870159,7871966,7873770,7875671,7877469,7879214,7880982,7882729,7884502,7886264,7888027,7889842,7891684,7893472,7895364,7897217,7899024,7900825,7902694,7904521,7906334,7908128,7909990,7911776,7913620,7915368,7917147,7918945,7920691,7922428,7924172,7925892,7927666,7929437,7931160,7932893,7934657,7936458,7938168,7939902,7941704,7943559,7945436,7947226,7949060,7950884,7952719,7954532,7956309,7958131,7959937,7961793,7963611,7965405,7967192,7969042,7970837,7972672,7974511,7976345,7978176,7980019,7981874,7983711,7985546,7987383,7989236,7991057,7992891,7994729,7996550,7998353,8000192,8002027,8003843,8005653,8007490,8009309,8011151,8012981,8014821,8016653,8018496,8020315,8022148,8023991,8025847,8027670,8029498,8031344,8033178,8035003,8036830,8038656,8040477,8042288,8044021,8045191,8046623,8048033,8049342,8050856,8052507,8054103,8055603,8057123,8058392,8060027,8061678,8063361,8065046,8066728,8068486,8070249,8072026,8073819,8075630,8077445,8078823,8080380,8081957,8083482,8085005,8086516,8088083,8089575,8091085,8092313,8093244,8094038,8094844,8095848,8097240,8098991,8100761,8102442,8104138,8105825,8107451,8108988,8110445,8111654,8112659,8113497,8114352,8115306,8116536,8118187,8119748,8121534,8123296,8124798,8126103,8127397,8128744,8130074,8131385,8132712,8134071,8135407,8136744,8138055,8139386,8140701,8142024,8143376,8144720,8146060,8147393,8148731,8150073,8151406,8152735,8154042,8155336,8156663,8158005,8159358,8160694,8162009,8163352,8164670,8166002,8167324,8168629,8169947,8171284,8172631,8173962,8175259,8176580,8177868,8179193,8180508,8181813,8183145,8184477,8185801,8187111,8188460,8189792,8191096,8192448,8193767,8195096,8196447,8197751,8198985,8200184,8201408,8202660,8203887,8205136,8206394,8207639,8208864,8210131,8211339,8212558,8213802,8215043,8216277,8217557,8218788,8220042,8221276,8222639,8223988,8225326,8226663,8227992,8229334,8230720,8232084,8233432,8234766,8236145,8237508,8238870,8240232,8241609,8242980,8244336,8245665,8246598,8247508,8248444,8249386,8250317,8251271,8252245,8253194,8254112,8255053,8255982,8256925,8257869,8258801,8259732,8260696,8261658,8262780,8264034,8265287,8266575,8267847,8269124,8270400,8271719,8273007,8274298,8275565,8276883,8278160,8279444,8280767,8282076,8283368,8284648,8285943,8287592,8289395,8291196,8293e3,8294782,8296568,8298346,8300138,8301931,8303755,8305535,8307323,8309110,8310880,8312683,8314491,8316279,8318047,8319836,8321626,8323424,8325220,8327012,8328820,8330624,8332423,8334208,8335993,8337798,8339609,8341377,8343170,8344954,8346738,8348527,8350318,8352104,8353963,8355853,8357774,8359674,8361599,8363499,8365373,8367276,8369205,8371108,8372966,8374830,8376691,8378527,8380377,8382238,8384106,8385953,8387796,8389642,8391538,8393433,8395356,8397256,8399166,8401077,8402969,8404864,8406779,8408627,8410491,8412334,8414189,8416045,8417923,8419777,8421621,8423472,8425321,8426971,8427743,8429792,8431318,8432327,8433318,8434703,8436126,8437134,8438132,8439539,8440840,8441788,8442726,8444236,8445413,8446361,8447305,8448950,8450278,8451924,8453391,8454828,8456394,8457708,8459352,8460298,8461234,8462389,8464019,8464985,8465921,8467076,8468612,8469487,8470367,8472034,8473080,8473964,8475070,8476619,8477543,8478442,8479689,8481117,8482050,8482997,8484412,8485643,8486478,8487447,8489104,8490381,8492201,8493469,8495104,8496379,8497776,8499565,8501344,8502895,8504449,8506161,8507631,8509306,8510639,8512241,8513737,8515317,8516952,8518316,8519996,8521364,8522729,8523909,8524920,8525908,8527550,8528744,8529765,8530753,8532365,8533436,8534386,8535340,8537044,8538011,8538930,8539937,8541632,8542601,8543554,8544594,8546361,8547323,8548274,8549343,8550981,8551850,8552734,8554224,8555469,8556358,8557326,8559013,8559930,8560815,8561915,8563486,8564410,8565346,8566568,8568024,8568841,8569656,8571334,8572806,8574124,8575664,8576926,8578112,8579455,8580616,8581645,8582761,8583706,8584859,8585772,8586903,8587939,8588878,859e4,8591214,8592220,8593425,8594179,8595341,8596716,8597807,8599101,8600007,8600781,8601765,8602749,8603613,8604434,8605232,8606223,8607286,8608023,8609271,8610546,8611623,8612715,8613551,8614310,8614871,8615836,8616563,8617306,8617990,8618598,8619294,8619875,8620518,8621323,8622087,8622828,8623617,8624729,8625785,8626628,8627444,8628240,8629042,8629850,8630881,8631688,8632500,8633497,8634523,8635529,8636481,8637059,8638109,8639282,8640380,8641395,8642706,8643851,8644566,8645520,8646548,8647545,8648560,8649454,8650244,8651426,8652739,8653635,8654410,8655185,8656172,8657204,8658331,8659325,8660213,8661165,8662204,8663161,8664407,8665658,8666664,8667506,8668315,8669305,8670365,8671562,8672620,8674017,8674639,8675360,8676206,8677344,8678315,8679631,8680735,8681952,8682638,8683491,8684371,8685513,8686578,8687678,8689046,8689762,8690678,8691491,8692624,8693595,8694848,8696123,8697090,8697965,8698807,8699882,8700886,8702065,8703105,8704547,8705235,8706080,8706966,8708214,8709251,8710396,8711638,8712549,8713602,8714630,8715723,8716840,8717764,8718513,8719668,8720660,8721742,8722946,8723790,8724648,8725730,8726802,8727816,8728980,8729828,8730641,8731734,8732762,8733939,8735134,8736062,8737143,8738188,8739289,8740395,8741316,8742071,8743225,8744206,8745291,8746454,8747296,8748204,8749308,8750333,8751397,8752584,8753418,8754316,8755424,8756610,8757701,8758555,8759418,8760560,8761517,8762631,8763762,8764623,8765516,8766428,8767212,8767914,8768675,8769421,8770100,8770803,8771529,8772276,8772991,8773699,8775094,8775975,8776696,8776834,8776909,8777188,8777382,8778493,8779679,8781003,8782531,8783973,8785440,8786866,8788313,8789855,8791354,8792461,8793518,8794453,8795626,8796916,8798318,8799927,8801177,8802761,8803965,8805371,8806616,8807901,8809071,8810063,8811063,8812167,8813732,8815105,8815679,8816346,8817057,8817732,8818423,8819438,8820302],sizes:[750,1208,963,833,974,781,686,795,693,1225,781,840,909,933,706,1065,1141,990,1308,1036,758,876,753,787,780,1074,1403,1066,988,1089,835,816,830,1115,843,869,1114,1029,1001,561,1154,946,1201,1092,677,1080,901,1005,1150,689,1219,909,712,1083,1094,844,972,907,945,1259,1288,1194,1224,1309,1317,1241,849,884,908,829,1113,1071,1006,948,988,1028,1236,1070,1051,852,1087,1364,943,1320,860,1117,786,877,1123,1025,1279,1088,1167,932,805,1109,1085,1175,925,1080,1253,1029,1065,825,1259,1273,1314,1110,816,852,356,366,414,677,879,782,1e3,1162,925,871,962,1023,897,835,1072,729,1064,892,934,929,1072,872,900,961,1059,1232,1119,1279,1042,851,831,1156,1230,897,893,791,1197,1060,725,795,1209,1024,1357,1057,826,1463,1054,893,926,666,846,859,910,791,833,853,1323,1400,1146,1448,1137,1346,1117,1464,1114,1191,1265,1242,1239,1144,1176,1247,1349,1213,1230,1365,1431,1404,1230,1338,1378,1370,1133,1192,1109,1368,1216,1294,1144,1121,1116,1400,1317,1430,1295,1138,1499,1267,1336,1251,1014,1212,1238,1201,1208,1245,1048,1307,1493,1095,1206,1073,1172,1246,1218,1180,1131,1248,1043,1202,989,1297,906,1246,954,1318,841,609,594,1813,1750,1750,1751,1760,1775,1746,1725,1732,1747,1721,1745,1765,1760,1748,1732,1762,1733,1765,1726,1747,1603,1720,1740,1742,1732,1759,1728,1743,1741,1738,1748,1767,1752,1736,1764,1737,1745,1734,1760,1753,1755,1766,1754,1744,1748,1750,1759,1728,1738,1736,1729,1757,1739,1750,1744,1759,1749,1725,1745,1744,1741,1739,1739,1737,1740,1717,1712,1729,1737,1710,1738,1733,1755,1732,1752,1745,1734,1765,1734,1767,1267,1107,1141,1161,1163,1132,1166,1043,1145,1078,1208,1205,1177,1162,1261,1168,1161,1176,1208,1203,1260,1220,1209,1136,1134,1226,1221,1229,1194,1165,1227,1123,1154,1129,1220,1133,1164,1135,1137,1177,1204,1228,1208,1140,1230,1191,1036,948,1069,945,1173,1031,1099,1155,1137,987,1093,1117,1093,1041,1029,1191,1097,1065,1036,1034,1803,1859,1869,1862,1868,1866,1863,1865,1865,1857,1881,1871,1865,1858,1937,1852,1854,1858,1860,1930,1873,1853,1882,1855,1900,1839,1845,1843,1911,1864,1858,1853,1849,1942,1865,1854,1953,1871,1858,1939,1871,1879,1960,1846,1858,1852,1859,1925,1830,1833,1906,1944,1889,1932,1862,1857,1920,1856,1874,1920,1846,1850,1943,1860,1871,1869,1925,1857,1872,1851,1862,1911,1852,1867,1851,1853,1944,1849,1852,1857,1865,1874,1865,1859,1868,1943,1834,1833,1924,1861,1854,1916,1841,1837,1920,1775,1792,1813,1787,1529,1517,1504,1523,1513,1517,1526,1513,1537,1488,1549,1528,1517,1533,1530,1517,1520,1555,1546,1524,1558,1391,1537,1535,1553,1536,1542,1562,1560,1525,1516,1565,1515,1531,1517,1548,1523,1543,1506,1538,1543,1547,1566,1580,1548,1545,1546,1495,1562,1508,1555,1525,1536,1553,1594,1543,1566,1562,1499,1515,1576,1548,1542,1532,1564,1553,1549,1572,1548,1554,1558,1537,1527,1568,1520,1559,1537,1578,1545,1537,1518,1575,925,544,479,562,528,309,559,451,464,499,502,543,494,494,541,421,589,417,445,353,453,542,401,572,510,472,461,492,410,551,466,504,451,634,586,355,476,642,567,796,610,587,581,678,696,540,656,572,571,674,580,693,721,726,759,823,620,693,587,630,730,572,650,622,585,618,596,705,690,622,720,812,648,720,677,553,697,634,609,672,610,670,697,544,585,607,509,537,553,700,782,748,645,725,669,831,543,613,703,575,571,553,641,652,457,642,485,681,532,661,619,598,720,595,584,638,590,624,661,683,603,651,675,514,700,722,587,667,616,583,640,642,578,740,766,661,593,731,596,762,697,672,631,695,770,613,762,581,734,648,440,639,639,661,509,643,602,713,652,634,630,685,739,712,722,732,638,612,607,725,435,579,605,586,723,945,795,1120,1004,960,780,760,764,687,801,1166,935,1303,953,1044,965,1190,1260,923,1189,1305,805,925,1202,945,1010,1026,1106,1070,1282,1370,1104,1148,749,1141,1068,954,928,1192,1146,1225,895,962,1148,1144,1366,1367,918,1262,1574,1535,1550,1568,1574,1540,1579,1565,1551,1575,1597,1578,1591,1531,1549,1544,1545,1570,1573,1539,1560,1555,1573,1580,1613,1574,1568,1555,1575,1527,1561,1565,1541,1566,1592,1579,1506,1589,1578,1558,1549,1570,1599,1578,1555,1569,1534,1552,1562,1567,1584,1503,1549,1488,1496,1453,1377,1248,1354,946,773,868,966,868,721,1068,353,438,387,367,400,412,652,1238,1328,1172,910,1062,1373,1283,1041,1145,1213,1308,1202,1201,1167,1322,1155,1242,1140,1102,1109,1195,930,813,1470,1075,1099,1367,934,1205,1076,1154,1307,1331,1693,1764,692,1370,1510,1599,1550,1593,1608,1710,1647,1658,1624,1631,1629,1683,1628,1670,1656,1633,1631,1700,1610,1648,1673,1665,1692,1484,1226,1607,1609,1610,1598,1587,1605,1404,1354,1530,1577,1647,1698,1747,1591,1638,1649,1750,1690,1239,1412,1685,1652,1612,1635,1680,1584,1609,1641,1591,1660,1518,1566,1485,1544,1553,1492,1576,1517,1599,1537,1552,1530,1547,1593,1513,1503,1652,1733,1617,1095,1423,1544,1575,1501,1583,1523,1524,1466,1523,1607,1395,1427,1241,1169,1173,1436,1370,1117,1317,908,782,862,715,917,663,848,795,843,724,629,747,738,1219,1352,1192,1381,1545,980,1481,1456,1154,1337,1202,1368,1536,1357,1259,1320,1448,1419,1263,1166,1104,1166,1088,1092,1217,1060,1056,1200,1257,1091,1215,1051,1103,1174,1258,1435,1940,1912,1923,1930,1920,1913,1904,1920,1930,1916,1916,1920,1898,1919,1918,1915,1918,1933,1925,1912,1905,1923,1934,1930,1927,1935,1918,1929,1909,1934,1925,1862,1660,1620,1662,1662,1638,1649,1643,1687,1616,1597,1594,1541,1694,1835,1830,1833,1846,1850,1843,1842,1840,1828,1837,1851,1835,1843,1842,1831,1817,1827,1852,1830,1838,1822,1815,1825,1848,1863,1854,1853,1841,1859,1805,1855,1833,1827,1851,1863,1798,1830,1826,1834,1833,1825,1830,1854,1858,1825,1856,1872,1853,1834,1827,1848,1836,1841,1874,1844,1850,1829,1436,1233,815,1471,1351,940,1163,956,1155,1077,1141,1032,813,1248,1243,1115,1082,946,1182,1136,1021,1046,1029,1059,921,924,951,818,980,1065,1028,1315,783,642,1127,1160,1245,924,963,1172,1073,967,997,1228,1128,818,975,755,1128,991,1080,1180,1011,1210,1161,1153,849,960,1060,1083,771,996,1021,1203,1177,1061,1178,1071,1115,1069,1201,915,819,942,687,1171,1354,612,875,991,928,1160,1038,1207,1195,1029,1075,1036,1083,1040,1147,937,1092,1304,1384,994,1206,643,887,1021,509,878,1143,814,924,796,754,617,765,786,781,818,694,532,843,1216,1047,1220,1275,1174,523,943,1366,1452,1169,357,849,839,1033,778,892,1175,1014,1216,1074,416,754,868,980,927,924,1227,953,906,1135,1150,1275,873,1113,1093,1214,999,997,1565,1511,1516,1645,1696,1717,1696,1746,1741,1764,1737,1765,1749,1773,1770,1765,1691,1683,1721,1703,1687,1703,1689,1682,1712,1678,1686,1698,1679,1689,1698,1700,1645,1683,1704,1678,1713,1699,1682,1699,1699,1699,1713,1705,1679,1688,1721,1699,1663,1690,1681,1701,1703,1673,1695,1698,1697,1673,1706,1688,1677,1715,1715,1686,1701,1706,1676,1691,1698,1718,1715,1681,1712,1691,1703,1658,1700,1699,1680,1699,1694,1683,1673,1674,1691,1718,1692,1709,1702,1690,1698,1692,1697,1684,1688,1672,1706,1707,1701,1697,1699,1684,1710,1685,1698,1701,1688,1666,1698,1705,1695,1666,1691,1692,1694,1681,1692,1700,1693,1687,1707,1709,1694,1695,1704,1689,1722,1681,1685,1718,1693,1702,1667,1701,1690,1696,1670,1686,1699,1717,1691,1674,1695,1702,1652,1660,1685,1677,1694,1713,1683,1703,1686,1692,1710,1736,1713,1244,1575,1803,1821,1463,1015,1332,666,654,658,630,647,1049,1583,856,637,641,639,648,876,1390,1360,1336,1416,1392,1341,1484,1167,1087,1182,1268,1104,1098,1312,1394,1467,1395,1370,1394,1355,1395,1363,1364,1398,1363,1388,1384,1343,1389,1368,1376,1395,1392,1380,1381,1382,1374,1388,1390,1377,1360,1384,1393,1387,1386,1365,1360,1368,1360,1377,1391,1363,1380,1431,625,475,434,446,405,487,432,461,448,426,424,452,496,462,449,484,406,423,569,511,513,446,526,531,465,533,531,1089,504,506,464,449,466,474,456,498,497,424,451,481,483,464,458,449,412,464,612,533,526,484,512,531,515,549,551,1139,1389,1539,1418,1541,1473,1550,1475,1421,1348,1555,1311,1609,1302,1532,1307,1600,1285,1556,1320,1585,1289,1534,1436,1573,1251,1540,1440,1457,1349,1443,1526,1307,1400,1560,1488,1373,1404,1389,1488,1274,1423,1522,1414,1312,1502,1393,1510,1443,1418,1298,1504,1484,1440,1506,1437,1300,1348,1349,1403,1377,1394,1218,829,791,757,782,792,772,778,1183,1578,1597,1599,1587,1555,1568,1546,1538,1529,1586,1593,1561,1598,1593,1611,1603,1574,1579,1596,1586,1575,1575,1580,1592,1545,1552,1563,1541,1523,1556,1553,1540,1554,1573,1566,1539,1536,1559,1163,1121,1132,1093,1086,1084,1082,1566,1574,1557,1582,1610,1594,1566,1572,1553,1563,1594,1570,1603,1558,1598,1608,1587,1587,1590,1603,1605,1559,1122,1068,1018,791,885,957,1069,970,854,1007,981,1205,875,925,991,965,906,1082,1065,957,1052,1138,975,936,991,988,968,931,981,927,899,1051,1027,1006,935,987,1060,1057,1166,889,984,1073,948,1101,969,868,937,880,1017,878,1047,943,975,954,1067,1046,1258,1179,901,1013,1150,986,1148,1133,950,905,1071,1035,1087,984,1004,937,995,1105,1071,1021,1075,1012,974,1089,1017,1168,1007,1270,1105,1894,1887,1911,1903,1886,1892,1890,1915,1890,1873,1883,1910,1888,1903,1915,1899,1896,1877,1901,1907,1914,1885,1893,1894,1874,1894,1890,1898,1883,1897,1903,1895,1894,1903,1903,1901,1887,1895,1879,1899,1905,1885,1904,1883,1883,1907,1879,1902,1894,1888,1912,1892,1896,1889,1927,1891,1889,1895,1900,1892,1895,1900,1885,1889,1884,1908,1887,1882,1933,1885,1913,1896,1872,1897,1905,1899,1900,1876,1891,1889,1901,1897,1876,1894,1904,1892,1885,1890,1870,1897,1884,1894,1890,1918,1904,1881,1888,1893,1900,1893,1892,1895,1898,1897,1881,1881,1897,1923,1910,1905,1886,1901,1892,1898,1911,1916,1895,1888,1892,1889,1894,1891,1904,1887,1903,1894,1912,1902,1916,1898,1872,1901,1909,1885,1885,1893,1888,1911,1893,1884,1894,1899,1907,1895,1897,1899,1886,1898,1904,1898,1878,1917,1886,1893,1896,1889,1890,1897,1891,1878,1886,1885,1882,1910,1904,1885,1893,1874,1904,1892,1906,1904,1933,1878,1916,1891,1893,1899,1876,1876,1891,1901,1880,1885,1892,1908,1901,1893,1898,1894,1891,1902,1887,1889,1891,1893,1904,1906,1897,1867,1889,1902,1882,1895,1916,1911,1883,1905,1894,1899,1909,1895,1893,1897,1878,1890,1891,1891,1890,1912,1900,1903,1900,1901,1914,1881,1876,1874,1907,1884,1892,1870,1903,1888,1917,1894,1898,1888,1887,1895,1895,1906,1891,1906,1912,1902,1892,1894,1896,1887,1900,1896,1914,1883,1887,1906,1909,1891,1882,1900,1891,1904,1909,1898,1906,1907,1870,1899,1895,1904,1897,1890,1889,1910,1903,1892,1890,1905,1908,1873,1883,1864,1901,1892,1874,1905,1902,1906,1885,1905,1896,1906,1919,1887,1895,1877,1899,1867,1904,1889,1897,1888,1894,1901,1890,1910,1902,1887,1879,1882,1893,1893,1885,1908,1879,1908,1885,1878,1889,1916,1908,1895,1918,1904,1899,1896,1900,1897,1903,1870,1890,1919,1889,1894,1886,1888,1890,1891,1870,1873,1901,1914,1879,1887,1881,1876,1893,1919,1891,1882,1878,1902,1889,1887,1907,1889,1909,1891,1895,1909,1914,1896,1341,1175,1053,1088,1145,1049,1001,850,1095,901,748,815,1024,772,956,1075,873,917,942,1139,1072,1117,942,837,784,872,1011,1034,1098,1008,1196,986,1173,1038,899,923,791,858,918,860,943,1005,973,748,960,1062,849,877,1061,1110,1029,883,969,1073,1002,1009,1125,840,1005,959,1143,934,1019,765,913,1130,782,861,935,917,1100,1070,1018,980,1055,875,1058,931,1071,1013,889,1117,1014,980,878,924,1058,1113,1056,929,1056,883,1099,897,892,885,925,1003,1063,982,876,877,1157,924,962,1086,942,933,960,1132,1081,996,965,1053,999,858,1132,911,1175,1e3,1015,1009,900,729,1137,1053,1020,992,1025,790,1069,1e3,1139,875,937,867,932,956,1074,937,1015,1021,1210,754,1004,957,949,1031,1096,935,954,974,1017,1173,1071,1164,1079,997,987,910,1013,1002,991,704,987,1137,1027,963,984,1122,1208,699,971,936,1044,826,932,1016,900,757,1046,1e3,1111,1080,842,1059,989,894,1140,1046,1048,851,1042,788,662,1026,931,969,875,981,960,934,1023,984,851,1013,923,1015,1004,1169,865,1023,778,1018,1138,930,1001,906,1085,919,971,1170,1164,984,963,1005,1037,1080,1097,798,1062,1455,1828,1721,1626,1679,1654,1592,1645,1778,1714,1674,1661,1741,1680,1764,1737,1569,1669,1696,1640,1767,1630,1765,1633,1739,1700,1732,1822,1734,1579,1733,1604,1721,1810,1730,1698,1562,1659,1604,1829,1662,1710,1616,1657,1674,1794,1665,1661,1800,1698,1692,1734,1771,1594,1841,1584,1746,1663,1833,1802,1738,1742,1788,1731,1805,1699,1683,1701,1674,1687,1669,1344,1053,1069,961,1170,1144,957,990,920,1030,1164,1169,1082,999,917,1130,963,958,962,1038,996,1021,1038,991,1027,1150,910,1030,993,971,1145,1037,1058,1046,1120,1080,1036,1031,1100,944,1069,993,1140,1027,976,964,1139,998,1e3,957,1066,1003,1001,974,1069,861,924,1119,922,877,863,1181,944,1072,1036,998,1059,978,1054,886,922,924,1104,1011,1064,1025,989,1100,933,949,967,999,1043,1146,1088,1004,1031,1051,1166,967,1124,1048,925,1e3,1138,1121,1024,1047,1229,922,931,1013,925,879,1029,1021,1015,819,961,924,1152,930,1175,932,955,960,1047,963,982,1218,1059,1065,1150,1217,1142,1190,813,503,514,522,517,536,524,515,523,527,519,533,526,507,511,505,527,661,600,599,608,608,598,588,970,1080,598,1003,747,852,810,808,729,857,1286,873,1312,1160,990,1328,1189,427,710,728,947,919,964,777,460,692,962,1067,1363,1303,1214,949,1095,720,690,912,1387,1002,1078,1128,948,991,897,814,902,1076,1369,1268,1399,1428,1089,1159,1038,619,1106,1143,434,835,823,837,713,902,979,1191,1201,1054,933,812,988,1115,989,1058,1007,1118,1048,1085,782,958,1199,1281,1151,1378,1471,1456,1485,1504,1481,1465,1467,1473,1465,1458,1502,554,966,1405,692,1342,1341,855,1085,1182,1221,1196,1034,1015,1034,1257,1098,1053,1093,1079,957,1195,1244,1004,1105,1271,1228,1176,1336,961,1049,1129,1119,925,675,637,659,1002,960,998,782,870,826,959,830,706,660,1025,1111,432,682,1201,1146,1016,1119,1162,1127,419,729,807,1254,1147,1130,1031,1339,888,620,1374,929,835,957,920,663,893,809,1058,1348,1659,1745,1750,1723,1726,1704,1726,1674,1859,1874,1882,1890,1401,971,1073,1042,997,884,1061,1162,925,1104,1117,1164,1176,988,850,824,837,793,1026,1205,1176,867,927,926,1119,1075,1032,1375,1205,1407,870,859,931,1252,1544,1778,1778,1808,1836,1804,1591,1660,1638,1677,1593,1748,1653,1586,1658,1706,1771,1826,1813,1801,1776,1884,1866,1834,1302,1210,1521,1542,1753,1888,1216,862,1055,942,1049,1013,1390,1579,811,1557,1602,1445,1110,1238,1278,1302,1324,755,1197,1161,1292,1336,1127,1126,1387,1330,1040,1001,1134,1138,1163,1053,1135,1006,1104,1112,1004,965,977,922,1028,1115,1038,1062,1210,1053,1058,1290,1200,1184,1315,1381,820,1144,971,973,1174,1295,1193,1304,759,981,349,783,994,1130,1249,1273,1283,1133,982,1096,1155,1011,1143,773,926,981,1144,1075,959,1028,961,1148,603,903,1187,1170,1015,1093,981,1180,1328,1180,1015,1089,1e3,1184,1329,1171,1127,900,993,1278,900,1071,808,860,746,669,726,1188,576,1254,876,1104,1084,930,991,962,1142,1419,1093,1197,981,1381,1245,1188,1079,1173,1034,993,1036,957,901,950,887,930,951,986,988,1439,1584,1581,1542,1520,1359,1373,1298,1163,1463,1420,1383,1422,1381,1305,1380,1398,1324,1401,1363,1326,1407,1402,1140,954,854,982,954,935,933,925,978,1680,1834,1876,1849,1796,1402,1464,1540,1439,1595,1128,1149,1124,1122,1123,1144,1104,1102,1089,1106,1134,1140,1111,1113,1105,1676,1740,1730,1558,1177,1214,1231,1221,1230,1261,1314,1308,1314,1311,1313,1305,1287,1367,1355,1351,1340,1304,1376,1359,1359,1357,1322,1189,1151,1150,1128,1172,1170,1126,1133,1218,1220,1192,1255,1263,1271,1238,1227,1248,1241,1323,1269,1299,1285,1269,1290,1315,1322,1311,1310,1300,1307,1611,1853,1885,1926,1910,1866,1783,1740,1687,1746,1770,1739,1749,1721,952,958,945,918,940,962,950,1155,991,715,633,996,1119,1048,877,740,874,1278,1318,1224,1295,1409,1298,1303,1287,1383,1468,1362,1376,1216,1122,1449,1476,1333,1174,1252,1198,892,1114,1296,1565,1285,916,1231,1429,1365,1384,1290,1228,1040,1325,1211,1044,1368,1445,1251,1409,1381,1475,1288,1274,1485,1242,1415,1495,1333,1475,1324,1443,1327,1429,1293,1435,1137,1377,1258,1421,1471,1238,1447,1440,1448,1275,1366,1396,1206,1437,1446,1458,1262,1468,1458,1386,1366,1202,1371,1321,984,1038,922,1048,1245,864,1093,1205,1096,881,1222,1201,1391,1123,1030,1090,1144,1055,1271,1144,598,1302,1266,1295,1242,1220,1298,1263,1241,1227,1252,1248,1291,1341,1300,1209,1325,1259,1286,1289,1342,1275,1245,1312,1226,1228,1315,1255,1302,1226,1462,1379,1388,1380,1397,1445,1433,1388,1419,1495,1454,1416,1404,1404,1450,1381,1388,1448,1396,1378,1421,1416,1452,1408,1418,1407,1438,1478,1477,1420,1421,1392,1470,1374,1447,1437,1520,1480,1386,1446,1400,1453,1454,1453,1426,1450,1435,1478,1370,1380,1384,1464,1430,1485,1425,1420,1514,1453,1510,1425,1434,1377,1433,1386,1435,1446,1375,1401,1408,1454,1456,1354,1313,1331,1374,1430,1430,1427,1374,1438,1486,1429,1369,1375,1419,1358,1425,1418,1457,1439,1432,1429,1339,1363,1477,1423,1403,1376,1317,1408,1451,1396,1438,1423,1395,1459,1429,1442,1379,1424,1482,1464,1415,1406,1408,1492,1462,1420,1400,1399,1464,1488,1408,1367,1329,1407,1416,1429,1421,1418,1492,1473,1376,1469,1415,1446,1438,1345,1427,1370,1389,1452,1373,1408,1423,1417,1436,1417,1442,1366,1473,1419,1463,1482,1394,1428,1397,1198,1246,1272,896,1013,1158,1303,1046,1234,1248,948,1071,1193,999,1042,1182,1184,809,1063,1079,1327,1164,1544,1785,1878,1897,1880,1890,1873,1903,1869,1871,1861,1878,1894,1869,1866,1888,1880,1870,1885,1857,1869,1877,1876,1878,1895,1877,1877,1891,1877,1867,1881,1882,1872,1882,1883,1866,1873,1891,1884,1881,1874,1885,1861,1879,1863,1870,1863,1870,1880,1860,1878,1891,1879,1864,1886,1865,1861,1871,1885,1883,1876,1888,1875,1891,1864,1880,1875,1872,1868,1885,1879,1886,1885,1879,1877,1892,1881,1888,1886,1872,1887,1868,1885,1867,1871,1875,1875,1877,1865,1890,1893,1855,1890,1877,1879,1884,1870,1871,1882,1866,1868,1880,1872,1880,1880,1880,1864,1879,1868,1882,1882,1849,1884,1881,1886,1872,1879,1872,1875,1880,1871,1842,1872,1888,1868,1874,1872,1876,1886,1860,1874,1882,1854,1899,1880,1875,1881,1865,1879,1257,957,1107,803,979,780,740,846,761,1095,359,913,832,986,1204,957,1084,1031,813,980,1156,950,812,1023,975,1186,1470,1296,909,1106,1151,1159,1037,1030,1265,706,963,1272,1202,984,807,1031,1057,980,841,982,1045,956,1052,665,665,1117,841,1056,1183,1189,1309,1258,827,1140,1116,1155,978,1005,871,1173,1215,1207,902,875,1108,1128,1035,897,1067,1340,1128,1209,1145,785,1238,1126,1140,892,1080,998,909,798,1201,925,1299,952,818,1167,1142,873,874,1185,1176,1290,1341,1442,1029,758,1020,894,1120,1026,1087,975,1232,1192,1196,1140,1124,1067,1377,1291,1084,860,815,1031,1230,1032,1202,811,784,1089,918,1098,1075,888,1218,1245,601,625,645,854,774,1208,1231,1177,1301,923,1097,888,940,745,1220,1205,1352,1012,961,1186,1027,1195,1225,1232,1203,1172,833,700,784,802,1064,1024,957,1299,1137,996,1315,1099,998,1174,937,1048,856,960,1043,687,1049,1048,698,932,1150,522,796,738,786,1108,1080,835,687,592,621,1225,1124,968,1216,884,1127,877,1319,1136,1059,1122,1229,831,825,1236,991,1046,1278,800,951,1195,1232,820,732,1144,626,696,750,1578,1121,1067,823,958,879,952,798,497,1282,794,903,1087,738,1224,1190,1198,1199,1175,1213,1218,1194,1199,1215,1212,1194,1222,1227,1192,1202,1207,1218,1222,1188,1218,1210,1185,1199,1185,1206,1203,1187,1215,1212,1206,1192,1216,1198,1220,1204,1202,1213,1202,1196,1170,1189,1218,1195,1166,1215,1217,1183,1199,1189,1223,1197,1200,1208,1191,1203,1198,1181,1203,1211,1209,1215,1224,1203,1206,1190,1228,1211,1212,1171,1190,1200,1200,1209,1203,1229,1197,1229,1201,1204,1196,1183,1171,1217,1193,1208,1207,1192,1220,1218,1185,1210,1193,1205,1218,1202,1204,1192,1215,1198,1209,1202,1207,1211,1223,1417,1219,1313,870,1136,1150,1434,1514,1430,1650,959,1368,1018,1071,745,567,1324,1427,1406,1373,1421,1873,1896,1873,1875,1878,1879,1888,1877,1873,1854,1875,1892,1875,1868,1891,1870,1865,1882,1881,1889,1894,1859,1883,1878,1879,1895,1882,1857,1890,1874,1858,1884,1882,1878,1863,1879,1875,1887,1883,1885,1887,1886,1880,1874,1868,1874,1860,1871,1883,1867,1867,1879,1881,1865,1869,1864,1868,1872,1888,1859,1883,1880,1868,1879,1878,1878,1855,1879,1886,1890,1890,1872,1875,1864,1873,1878,1878,1878,1891,1863,1867,1863,1856,1880,1877,1877,1883,1880,1882,1874,1862,1867,1862,1890,1885,1867,1867,1862,1874,1884,1876,1877,1879,1894,1864,1870,1889,1877,1881,1863,1873,1877,1884,1890,1879,1882,1878,1879,1894,1862,1857,1865,1873,1862,1879,1881,1871,1864,1870,1871,1874,1876,1888,1867,1896,1874,1865,1807,1262,872,837,807,845,822,774,799,801,842,846,842,1653,1785,1809,1760,1824,1772,1825,1787,1781,1798,1772,1755,1777,1786,640,303,347,244,471,1552,1555,1592,1673,1717,1797,1876,1848,1855,1761,1712,1794,1789,910,1213,1108,1094,863,983,1168,872,551,735,830,667,875,871,1138,635,1054,1069,699,811,1089,1254,1211,1282,1175,794,811,1162,742,640,779,683,855,1176,875,698,583,859,937,770,914,814,1131,854,1001,735,993,1018,621,1117,1004,1015,862,1208,1250,1261,1211,1176,1064,734,1110,1320,1004,1088,991,839,1246,1182,1369,987,1096,939,1057,1098,802,1105,1324,1194,697,751,1097,869,934,1248,963,1113,882,1033,785,1018,769,880,947,861,587,807,781,760,666,879,865,884,929,852,485,697,876,659,1140,1049,854,748,1175,771,1317,1209,794,735,751,619,1147,764,918,1045,765,754,681,883,671,931,977,650,997,1061,1306,1652,1535,1550,1501,1407,1418,1415,1413,1388,1546,1480,1529,1517,1489,1338,864,533,659,1080,1050,1348,1250,932,1260,1190,1214,1392,835,803,711,832,994,909,842,1222,1271,1198,663,1070,945,1177,1154,938,1435,1458,1179,854,980,931,1074,1186,670,954,707,818,975,1080,1048,1260,1165,1178,1147,1138,1163,1182,1260,1224,1287,1118,1149,902,993,1437,1548,816,873,821,1090,1381,1320,1445,727,1409,1270,1116,1175,1448,1156,1137,286,699,1007,1001,1385,1596,1615,1664,1519,1456,1451,1430,1481,1385,1395,1395,1006,1322,1061,1355,1353,1323,1354,1340,1233,1445,898,1126,1235,967,1044,1015,1160,1006,1163,1545,1587,1377,871,918,918,1074,1087,948,1671,1730,1670,1743,1755,1665,1688,1693,1764,1701,1746,1693,1779,1733,1793,1739,1752,1738,1737,1667,1310,1354,1412,1626,1593,1583,1287,1593,1585,1461,1471,1281,1447,1358,1792,1812,1792,1830,1823,1809,1130,1149,1095,773,771,1261,1127,1164,1215,850,1039,944,725,1296,770,497,748,690,664,686,1003,1046,1018,658,607,611,1266,926,1046,1261,1133,794,1175,1006,1063,758,873,940,1149,1146,1006,856,1082,775,962,1050,771,1086,911,746,1147,919,887,1014,1084,1011,888,1171,1205,718,995,856,601,1085,866,498,1142,851,588,1103,870,642,899,940,668,902,1247,741,1279,772,1087,1033,1052,1294,973,1199,1002,997,1197,772,728,724,845,883,963,1021,1100,991,1176,1080,983,939,1044,1051,968,1245,1161,1149,1206,1332,1411,1282,1367,1389,1223,1405,1151,969,1379,1339,1431,1049,1014,902,984,1049,1272,758,772,598,671,1097,1243,1168,1307,915,1096,1158,1258,1265,1436,1481,902,790,1009,725,752,1350,908,592,881,796,1188,1001,685,873,1304,1034,1108,796,907,865,821,1042,875,898,762,614,1327,1307,1426,1154,1282,651,858,1211,1062,1093,1119,1069,890,880,1019,971,1003,686,635,885,750,974,985,1086,1236,1100,860,717,811,625,1262,965,1061,847,623,966,1078,1285,696,1112,937,1303,858,894,540,1039,1128,1127,1021,711,1164,1227,1236,1028,1329,1083,1137,727,998,925,1134,654,764,1123,439,1215,1120,1083,1177,1022,988,813,1056,1146,1329,830,1139,888,783,873,1025,1e3,1187,1202,1250,775,1128,1149,1272,1076,1046,577,640,919,903,1050,764,658,785,1250,1107,1047,951,1297,1249,677,773,984,1160,738,689,972,904,911,866,964,1052,994,1007,1094,1013,865,875,808,687,1053,940,1200,1188,1150,802,917,1184,971,1037,1010,1025,913,1161,910,1167,1012,1203,1145,954,812,951,742,999,866,691,694,715,644,777,584,754,645,933,950,863,1392,722,1012,976,1013,1202,1175,824,903,1090,1134,967,899,992,988,847,1195,1010,613,1265,772,722,895,688,562,917,554,835,834,1161,1117,1028,817,923,949,975,1008,908,1011,937,959,876,958,1086,1073,1061,896,1e3,1028,767,718,735,755,927,1310,1083,959,842,895,782,816,913,872,1020,1182,1052,1103,639,1283,972,651,874,1157,730,920,1078,594,604,1378,936,513,944,1175,690,715,1070,1068,1013,1009,998,1010,1113,900,1151,943,1204,1093,1203,1316,1127,1210,608,998,1152,1154,1094,1010,1116,948,781,956,1104,922,847,788,847,970,974,870,701,769,735,819,522,625,804,1398,903,617,482,1156,732,517,639,923,965,488,753,744,1336,945,793,885,1318,929,906,938,1007,1114,983,1058,875,1104,1177,929,1005,1203,988,1120,1027,1019,1061,1022,1005,968,1157,924,1168,1252,1130,1426,1205,1102,1002,1029,988,1163,1052,1062,1214,1075,1101,1069,1067,1236,1112,1149,1171,1306,1182,1268,938,1079,1289,1140,1565,1106,1649,776,936,892,689,1557,1129,1576,1559,1132,1071,1539,1047,1323,1176,1744,787,828,787,876,770,841,820,884,869,907,826,1041,1773,1352,1197,1527,1340,1540,1583,1713,1734,1696,1426,1443,1499,1485,1201,1159,1731,1794,1775,1731,1748,1734,1746,1724,1713,1736,1695,1704,1612,818,1302,1444,1405,1377,1343,1395,1386,1389,1385,1387,1380,1340,1336,1367,1338,1326,1317,1298,1194,1046,1476,1482,1462,1380,1335,1285,1413,1406,1423,1322,1345,1343,1339,1227,1181,1462,1562,1454,1582,1180,862,892,898,837,1269,1387,1363,1340,1333,1295,1306,1275,1262,1261,1214,1134,1133,1243,912,1006,897,864,882,879,1182,1441,1407,1416,1414,1327,1197,1221,1213,1259,1196,1012,899,1253,1268,1220,1183,1152,1301,1327,1336,1294,1302,1217,1457,1510,1425,1353,1365,1344,1341,1363,1364,1170,1061,1065,1454,1470,1399,1389,1330,1305,1213,1184,1206,1195,1163,1175,1172,1212,1137,1208,1185,1191,1242,1219,1284,1335,1223,776,463,478,466,461,445,464,467,467,453,447,446,462,461,434,470,458,463,426,461,457,455,463,446,455,432,452,451,435,442,916,1263,1238,1465,1397,1401,1395,1386,1424,1412,1349,1415,1404,1409,1412,1377,1400,1328,1411,1400,1419,1393,1402,1407,1380,1412,1389,1379,1424,1355,1710,1861,1876,1857,1863,1880,1858,1826,1850,1850,1874,1508,1323,1334,1387,1368,1295,1421,1398,1355,1404,1363,1413,1406,1374,1399,1348,1409,1381,1412,1419,1374,1403,1375,1384,1386,1361,1390,1363,1357,1414,1385,1406,1408,1353,1409,1387,1422,1404,1387,1407,1387,1417,1410,1387,1410,1377,1380,1384,1393,1367,1321,1330,1344,1342,1381,1348,1401,1430,1376,1360,1350,1408,1396,1419,1374,1394,1401,1359,1349,1599,1505,1383,1356,1253,1237,1222,1257,1260,1252,1183,1203,1206,1245,1218,1244,1270,1211,1173,1224,1238,1189,1261,1254,1219,1175,1218,1204,1168,1276,1241,1232,1192,1206,1240,1221,1255,1249,1237,1164,1221,1209,1205,1238,1247,1224,1195,1182,1239,1203,1216,1250,1224,1192,1209,1220,1226,1231,1258,1218,1184,1204,1219,1212,1246,1262,1298,1288,1313,1368,1511,1080,1359,1430,1066,1043,1066,1060,1198,1089,1151,1026,1017,1032,1058,1103,1162,1253,1209,1229,1256,1026,956,992,1044,1134,863,662,776,1073,1031,988,987,925,1192,1166,1098,1067,1054,1076,1297,1261,1227,1199,1161,1159,1149,1244,1041,881,973,1194,1363,1228,1229,1187,1146,1069,1044,1057,1096,1057,1034,1059,1026,1046,1069,1085,1053,1112,1188,1173,1207,1231,1619,1543,1581,1505,1499,1468,1411,1416,1306,1256,1228,1244,1271,1224,1233,1255,1247,1276,1233,1225,1261,1241,1281,1223,1228,1258,1256,1296,1273,1252,1232,1229,1263,1264,1250,1224,1223,1293,1282,1278,1238,1216,1250,1246,1292,1246,1235,1228,1240,1347,1349,1370,1356,1390,1407,1452,1477,1473,1317,530,505,486,440,939,1e3,1609,1428,1618,1602,1438,1574,1521,1597,1594,1530,1506,1599,1588,1522,1549,1425,1625,1630,1446,1596,1507,1561,1580,1439,1594,1547,1444,1155,1517,1519,1451,1435,1404,1387,1393,1408,1365,1433,1444,1179,986,1003,983,999,962,982,968,994,963,1237,1385,1395,1328,1306,1344,1078,897,968,1e3,1027,942,976,1161,1317,1327,985,796,1241,1117,1233,1075,1119,1002,1155,1193,1304,1450,996,2019,2048,2048,2048,2048,2027,2048,2048,2048,2048,2048,2022,2048,2048,2048,2048,2016,2048,2048,2048,2057,2048,2048,2018,2048,2048,2048,2048,2048,2020,2048,2048,2048,2048,2048,2020,2048,2048,2048,2048,2048,2048,2048,2048,2055,2025,2048,2048,2048,2048,2048,2048,2048,2056,2048,2022,2048,2048,2048,2048,2048,2048,2018,2048,2048,2048,2048,2048,2048,2048,2024,2048,2048,2048,2048,2048,2048,2017,2048,2048,2048,2048,2048,2048,2048,2021,2048,2048,2048,2048,2048,2023,2048,2048,2048,2056,2048,2026,2048,2048,2048,2048,2048,2048,2048,2048,2057,2018,2048,2048,2048,2048,2048,2048,2002,2057,2048,2048,2048,2048,2048,2048,2048,1580,1591,1573,1618,1652,1737,1726,1716,1695,1718,1702,1747,1727,1754,1739,1727,1738,1725,1731,1726,1787,1769,1742,1748,1731,1734,1732,1720,1724,1552,1584,1560,1604,1696,1735,1742,1693,1706,1721,1732,1729,1752,1751,1734,1735,1753,1705,1721,1746,1789,1746,1753,1737,1749,1768,1723,1713,1556,1244,1304,1084,1250,1159,947,926,1116,623,785,1245,1183,990,1151,1070,1267,1241,1126,1332,1014,1269,1121,724,736,757,1170,992,1171,780,914,966,1076,1269,1081,581,843,856,950,1398,1120,1086,1238,1008,866,1196,993,1008,928,731,1032,1122,1071,1234,1145,1238,1003,708,943,767,896,935,1327,1174,1155,1071,1194,859,746,1271,1305,1101,1041,840,904,1403,1096,931,1302,1317,858,1091,842,1233,987,1146,1227,774,684,488,792,1041,915,1012,731,695,963,796,582,925,890,627,721,982,705,1254,1444,1498,1535,1511,1522,1558,1541,1550,1291,46,556,1487,1513,1375,1478,1535,1545,1524,1553,1540,1550,1511,91,313,1499,1485,1394,1478,1534,1518,1514,1567,1559,1553,1537,250,231,1487,1498,1397,1488,1528,1529,1531,1531,1553,1533,1550,360,198,1490,1482,1340,1515,1518,1537,1488,1488,1552,1484,1548,1370,1245,1426,1511,1339,1492,1529,1530,1468,1489,1563,1504,1560,1481,1270,1348,1521,1446,1468,1439,1540,1502,1523,1538,1533,1545,1480,132,784,1473,1438,1438,1474,1541,1489,1532,1560,1546,1556,1497,333,558,1378,1468,1515,1530,1525,1543,1535,1544,1525,189,352,1487,1483,1324,1484,1516,1537,1506,1540,1563,1528,1545,689,46,1415,1468,1396,1484,1494,1514,1506,1527,1558,1520,1543,984,46,1229,1440,1366,1502,1484,1536,1491,1522,1555,1542,1559,1353,60,781,1060,1097,1121,1126,1537,1187,1133,1027,1279,1120,1053,1203,1402,1084,1065,1085,1264,1333,1428,964,1069,1103,1161,1219,1286,1162,1227,1222,1142,1191,1242,1209,1284,1230,1176,1254,1261,1197,1084,1223,1465,1318,1603,1548,1570,1567,1541,1541,1567,1543,1539,1670,1698,1417,470,471,470,471,497,497,477,1315,1441,1398,809,486,493,494,496,502,472,915,1543,1494,1388,1226,1167,1481,1294,1185,1555,1749,1233,1523,1875,1822,1825,1832,1807,1804,1901,1798,1745,1768,1747,1773,1762,1763,1815,1842,1788,1892,1853,1807,1801,1869,1827,1813,1794,1862,1786,1844,1748,1779,1798,1746,1737,1744,1720,1774,1771,1723,1733,1764,1801,1710,1734,1802,1855,1877,1790,1834,1824,1835,1813,1777,1822,1806,1856,1818,1794,1787,1850,1795,1835,1839,1834,1831,1843,1855,1837,1835,1837,1853,1821,1834,1838,1821,1803,1839,1835,1816,1810,1837,1819,1842,1830,1840,1832,1843,1819,1833,1843,1856,1823,1828,1846,1834,1825,1827,1826,1821,1811,1733,1170,1432,1410,1309,1514,1651,1596,1500,1520,1269,1635,1651,1683,1685,1682,1758,1763,1777,1793,1811,1815,1378,1557,1577,1525,1523,1511,1567,1492,1510,1228,931,794,806,1004,1392,1751,1770,1681,1696,1687,1626,1537,1457,1209,1005,838,855,954,1230,1651,1561,1786,1762,1502,1305,1294,1347,1330,1311,1327,1359,1336,1337,1311,1331,1315,1323,1352,1344,1340,1333,1338,1342,1333,1329,1307,1294,1327,1342,1353,1336,1315,1343,1318,1332,1322,1305,1318,1337,1347,1331,1297,1321,1288,1325,1315,1305,1332,1332,1324,1310,1349,1332,1304,1352,1319,1329,1351,1304,1234,1199,1224,1252,1227,1249,1258,1245,1225,1267,1208,1219,1244,1241,1234,1280,1231,1254,1234,1363,1349,1338,1337,1329,1342,1386,1364,1348,1334,1379,1363,1362,1362,1377,1371,1356,1329,933,910,936,942,931,954,974,949,918,941,929,943,944,932,931,964,962,1122,1254,1253,1288,1272,1277,1276,1319,1288,1291,1267,1318,1277,1284,1323,1309,1292,1280,1295,1649,1803,1801,1804,1782,1786,1778,1792,1793,1824,1780,1788,1787,1770,1803,1808,1788,1768,1789,1790,1798,1796,1792,1808,1804,1799,1785,1785,1805,1811,1768,1793,1784,1784,1789,1791,1786,1859,1890,1921,1900,1925,1900,1874,1903,1929,1903,1858,1864,1861,1836,1850,1861,1868,1847,1843,1846,1896,1895,1923,1900,1910,1911,1892,1895,1915,1848,1864,1843,1855,1856,1878,1854,1844,1851,1849,1650,772,2049,1526,1009,991,1385,1423,1008,998,1407,1301,948,938,1510,1177,948,944,1645,1328,1646,1467,1437,1566,1314,1644,946,936,1155,1630,966,936,1155,1536,875,880,1667,1046,884,1106,1549,924,899,1247,1428,933,947,1415,1231,835,969,1657,1277,1820,1268,1635,1275,1397,1789,1779,1551,1554,1712,1470,1675,1333,1602,1496,1580,1635,1364,1680,1368,1365,1180,1011,988,1642,1194,1021,988,1612,1071,950,954,1704,967,919,1007,1695,969,953,1040,1767,962,951,1069,1638,869,884,1490,1245,889,968,1687,917,885,1100,1571,924,936,1222,1456,817,815,1678,1472,1318,1540,1262,1186,1343,1161,1029,1116,945,1153,913,1131,1036,939,1122,1214,1006,1205,754,1162,1375,1091,1294,906,774,984,984,864,821,798,991,1063,737,1248,1275,1077,1092,836,759,561,965,727,743,684,608,696,581,643,805,764,741,789,1112,1056,843,816,796,802,808,1031,807,812,997,1026,1006,952,578,1050,1173,1098,1015,1311,1145,715,954,1028,997,1015,894,790,1182,1313,896,775,775,987,1032,1127,994,888,952,1039,957,1246,1251,1006,842,809,990,1060,1197,1058,1397,622,721,846,1138,971,1316,1104,1217,686,853,880,1142,1065,1100,1368,716,916,813,1133,971,1253,1275,967,875,842,1075,1004,1179,1040,1442,688,845,886,1248,1037,1145,1242,911,1053,1028,1093,1117,924,749,1155,992,1082,1204,844,858,1082,1072,1014,1164,848,813,1093,1028,1177,1195,928,1081,1045,1101,1106,921,755,1154,981,1085,1163,842,908,1104,1025,1064,1187,834,898,1108,1186,1091,854,863,1142,957,1114,1131,861,893,912,784,702,761,746,679,703,726,747,715,708,1395,881,721,138,75,279,194,1111,1186,1324,1528,1442,1467,1426,1447,1542,1499,1107,1057,935,1173,1290,1402,1609,1250,1584,1204,1406,1245,1285,1170,992,1e3,1104,1565,1373,574,667,711,675,691,1015,864,681],successes:[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]};compressedData["data"]=byteArray;assert(typeof Module.LZ4==="object","LZ4 not present - was your app build with -s LZ4=1 ?");Module.LZ4.loadPackage({metadata:metadata,compressedData:compressedData},true);Module["removeRunDependency"]("datafile_statsmodels-tests.data")}Module["addRunDependency"]("datafile_statsmodels-tests.data");if(!Module.preloadResults)Module.preloadResults={};Module.preloadResults[PACKAGE_NAME]={fromCache:false};if(fetched){processPackageData(fetched);fetched=null}else{fetchedCallback=processPackageData}}if(Module["calledRun"]){runWithFS()}else{if(!Module["preRun"])Module["preRun"]=[];Module["preRun"].push(runWithFS)}};loadPackage({files:[{filename:"/lib/python3.9/site-packages/statsmodels/conftest.py",start:0,end:3500,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/base/tests/__init__.py",start:3500,end:3500,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/base/tests/test_data.py",start:3500,end:37658,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/base/tests/test_distributed_estimation.py",start:37658,end:53692,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/base/tests/test_generic_methods.py",start:53692,end:82453,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/base/tests/test_optimize.py",start:82453,end:85715,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/base/tests/test_penalized.py",start:85715,end:111351,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/base/tests/test_penalties.py",start:111351,end:115814,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/base/tests/test_predict.py",start:115814,end:121166,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/base/tests/test_screening.py",start:121166,end:132874,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/base/tests/test_shrink_pickle.py",start:132874,end:143582,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/base/tests/test_transform.py",start:143582,end:148051,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/compat/tests/__init__.py",start:148051,end:148051,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/compat/tests/test_itercompat.py",start:148051,end:149236,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/compat/tests/test_scipy_compat.py",start:149236,end:152059,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/datasets/tests/__init__.py",start:152059,end:152059,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/datasets/tests/test_data.py",start:152059,end:153258,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/datasets/tests/test_utils.py",start:153258,end:156567,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/__init__.py",start:156567,end:156567,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/test_conditional.py",start:156567,end:166187,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/test_constrained.py",start:166187,end:187078,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/test_count_model.py",start:187078,end:215811,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/test_diagnostic.py",start:215811,end:218006,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/test_discrete.py",start:218006,end:313146,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/test_margins.py",start:313146,end:317810,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/test_sandwich_cov.py",start:317810,end:340789,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/results/__init__.py",start:340789,end:340789,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/results/results_count_margins.py",start:340789,end:357912,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/results/results_count_robust_cluster.py",start:357912,end:381335,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/results/results_discrete.py",start:381335,end:432410,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/results/results_glm_logit_constrained.py",start:432410,end:456957,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/results/results_poisson_constrained.py",start:456957,end:484879,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/results/mnlogit_resid.csv",start:484879,end:489599,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/results/nbinom_resids.csv",start:489599,end:490540,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/results/phat_mnlogit.csv",start:490540,end:655740,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/results/poisson_resid.csv",start:655740,end:790996,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/results/predict_prob_poisson.csv",start:790996,end:985996,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/results/ships.csv",start:985996,end:986875,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/results/sm3533.csv",start:986875,end:993412,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/results/yhat_mnlogit.csv",start:993412,end:1161912,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/results/yhat_poisson.csv",start:1161912,end:1520701,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/discrete/tests/results/mn_logit_summary.txt",start:1520701,end:1524572,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/distributions/tests/__init__.py",start:1524572,end:1524572,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/distributions/tests/test_bernstein.py",start:1524572,end:1530010,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/distributions/tests/test_discrete.py",start:1530010,end:1547880,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/distributions/tests/test_ecdf.py",start:1547880,end:1549545,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/distributions/tests/test_edgeworth.py",start:1549545,end:1555985,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/distributions/tests/test_mixture.py",start:1555985,end:1561056,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/distributions/tests/test_tools.py",start:1561056,end:1566651,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/duration/tests/__init__.py",start:1566651,end:1566651,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/duration/tests/test_phreg.py",start:1566651,end:1581654,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/duration/tests/test_survfunc.py",start:1581654,end:1600935,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/duration/tests/results/__init__.py",start:1600935,end:1600935,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/duration/tests/results/phreg_gentests.py",start:1600935,end:1602872,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/duration/tests/results/survival_enet_r_results.py",start:1602872,end:1603145,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/duration/tests/results/survival_r_results.py",start:1603145,end:1616381,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/duration/tests/results/bmt.csv",start:1616381,end:1618725,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/duration/tests/results/bmt_results.csv",start:1618725,end:1620342,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/duration/tests/results/survival_data_1000_10.csv",start:1620342,end:1729357,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/duration/tests/results/survival_data_100_5.csv",start:1729357,end:1735996,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/duration/tests/results/survival_data_20_1.csv",start:1735996,end:1736644,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/duration/tests/results/survival_data_50_1.csv",start:1736644,end:1738264,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/duration/tests/results/survival_data_50_2.csv",start:1738264,end:1740322,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/emplike/tests/__init__.py",start:1740322,end:1740322,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/emplike/tests/test_aft.py",start:1740322,end:1741927,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/emplike/tests/test_anova.py",start:1741927,end:1742797,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/emplike/tests/test_descriptive.py",start:1742797,end:1747149,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/emplike/tests/test_origin.py",start:1747149,end:1748599,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/emplike/tests/test_regression.py",start:1748599,end:1754371,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/emplike/tests/results/__init__.py",start:1754371,end:1754390,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/emplike/tests/results/el_results.py",start:1754390,end:1772857,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/formula/tests/__init__.py",start:1772857,end:1772857,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/formula/tests/test_formula.py",start:1772857,end:1781591,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/gam/tests/__init__.py",start:1781591,end:1781591,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/gam/tests/test_gam.py",start:1781591,end:1807764,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/gam/tests/test_penalized.py",start:1807764,end:1832507,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/gam/tests/test_smooth_basis.py",start:1832507,end:1833774,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/gam/tests/results/__init__.py",start:1833774,end:1833774,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/gam/tests/results/results_mpg_bs.py",start:1833774,end:1910265,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/gam/tests/results/results_mpg_bs_poisson.py",start:1910265,end:2014785,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/gam/tests/results/results_pls.py",start:2014785,end:2036508,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/gam/tests/results/autos.csv",start:2036508,end:2065352,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/gam/tests/results/autos_exog.csv",start:2065352,end:2101276,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/gam/tests/results/autos_predict.csv",start:2101276,end:2137462,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/gam/tests/results/cubic_cyclic_splines_from_mgcv.csv",start:2137462,end:2202981,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/gam/tests/results/gam_PIRLS_results.csv",start:2202981,end:2219521,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/gam/tests/results/logit_gam_mgcv.csv",start:2219521,end:2227975,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/gam/tests/results/motorcycle.csv",start:2227975,end:2229299,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/gam/tests/results/prediction_from_mgcv.csv",start:2229299,end:2347960,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/families/tests/__init__.py",start:2347960,end:2347960,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/families/tests/test_family.py",start:2347960,end:2349563,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/families/tests/test_link.py",start:2349563,end:2355753,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/__init__.py",start:2355753,end:2355753,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/gee_categorical_simulation_check.py",start:2355753,end:2364316,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/gee_gaussian_simulation_check.py",start:2364316,end:2374218,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/gee_poisson_simulation_check.py",start:2374218,end:2383315,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/gee_simulation_check.py",start:2383315,end:2392748,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/test_bayes_mixed_glm.py",start:2392748,end:2410914,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/test_constrained.py",start:2410914,end:2420135,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/test_gee.py",start:2420135,end:2497416,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/test_gee_glm.py",start:2497416,end:2501706,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/test_glm.py",start:2501706,end:2602181,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/test_glm_weights.py",start:2602181,end:2642314,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/test_qif.py",start:2642314,end:2646226,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/test_score_test.py",start:2646226,end:2654267,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/__init__.py",start:2654267,end:2654267,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/elastic_net_generate_tests.py",start:2654267,end:2654905,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/gee_generate_tests.py",start:2654905,end:2660168,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/glm_test_resids.py",start:2660168,end:2981867,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/glmnet_r_results.py",start:2981867,end:2983793,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/res_R_var_weight.py",start:2983793,end:2992235,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/results_glm.py",start:2992235,end:3266072,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/results_glm_poisson_weights.py",start:3266072,end:3361326,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/enet_binomial.csv",start:3361326,end:3367855,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/enet_poisson.csv",start:3367855,end:3374328,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/epil.csv",start:3374328,end:3390533,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/gee_linear_1.csv",start:3390533,end:3400660,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/gee_logistic_1.csv",start:3400660,end:3410577,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/gee_nested_linear_1.csv",start:3410577,end:3469573,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/gee_nominal_1.csv",start:3469573,end:3483857,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/gee_ordinal_1.csv",start:3483857,end:3513680,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/gee_poisson_1.csv",start:3513680,end:3528649,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/igaussident_resids.csv",start:3528649,end:3702611,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/inv_gaussian.csv",start:3702611,end:4444249,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/iris.csv",start:4444249,end:4446983,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/medparlogresids.csv",start:4446983,end:4918373,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/results_tweedie_aweights_nonrobust.csv",start:4918373,end:5314292,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/stata_cancer_glm.csv",start:5314292,end:5314678,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/stata_lbw_glm.csv",start:5314678,end:5321433,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/genmod/tests/results/stata_medpar1_glm.csv",start:5321433,end:5370981,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/graphics/tests/__init__.py",start:5370981,end:5370981,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/graphics/tests/test_agreement.py",start:5370981,end:5372176,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/graphics/tests/test_boxplots.py",start:5372176,end:5375629,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/graphics/tests/test_correlation.py",start:5375629,end:5376476,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/graphics/tests/test_dotplot.py",start:5376476,end:5391529,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/graphics/tests/test_factorplots.py",start:5391529,end:5394563,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/graphics/tests/test_functional.py",start:5394563,end:5403316,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/graphics/tests/test_gofplots.py",start:5403316,end:5424962,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/graphics/tests/test_mosaicplot.py",start:5424962,end:5443887,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/graphics/tests/test_regressionplots.py",start:5443887,end:5456086,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/graphics/tests/test_tsaplots.py",start:5456086,end:5465724,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/imputation/tests/__init__.py",start:5465724,end:5465724,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/imputation/tests/test_bayes_mi.py",start:5465724,end:5470802,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/imputation/tests/test_mice.py",start:5470802,end:5483226,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/imputation/tests/test_ros.py",start:5483226,end:5511138,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/iolib/tests/__init__.py",start:5511138,end:5511138,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/iolib/tests/test_pickle.py",start:5511138,end:5512869,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/iolib/tests/test_summary.py",start:5512869,end:5515141,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/iolib/tests/test_summary2.py",start:5515141,end:5520420,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/iolib/tests/test_summary_old.py",start:5520420,end:5523929,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/iolib/tests/test_table.py",start:5523929,end:5532764,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/iolib/tests/test_table_econpy.py",start:5532764,end:5536978,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/iolib/tests/results/__init__.py",start:5536978,end:5536978,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/iolib/tests/results/macrodata.py",start:5536978,end:5560547,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/iolib/tests/results/data_missing.dta",start:5560547,end:5561677,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/iolib/tests/results/time_series_examples.dta",start:5561677,end:5563437,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/miscmodels/tests/__init__.py",start:5563437,end:5563437,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/miscmodels/tests/results_tmodel.py",start:5563437,end:5575446,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/miscmodels/tests/test_generic_mle.py",start:5575446,end:5582550,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/miscmodels/tests/test_ordinal_model.py",start:5582550,end:5601939,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/miscmodels/tests/test_poisson.py",start:5601939,end:5609497,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/miscmodels/tests/test_tarma.py",start:5609497,end:5614102,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/miscmodels/tests/test_tmodel.py",start:5614102,end:5621396,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/miscmodels/tests/results/__init__.py",start:5621396,end:5621396,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/miscmodels/tests/results/results_ordinal_model.py",start:5621396,end:5626849,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/miscmodels/tests/results/ologit_ucla.csv",start:5626849,end:5635127,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/multivariate/factor_rotation/tests/__init__.py",start:5635127,end:5635127,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/multivariate/factor_rotation/tests/test_rotation.py",start:5635127,end:5656932,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/multivariate/tests/__init__.py",start:5656932,end:5656932,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/multivariate/tests/test_cancorr.py",start:5656932,end:5662265,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/multivariate/tests/test_factor.py",start:5662265,end:5673489,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/multivariate/tests/test_manova.py",start:5673489,end:5681879,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/multivariate/tests/test_ml_factor.py",start:5681879,end:5688005,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/multivariate/tests/test_multivariate_ols.py",start:5688005,end:5697012,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/multivariate/tests/test_pca.py",start:5697012,end:5713564,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/multivariate/tests/results/__init__.py",start:5713564,end:5713564,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/multivariate/tests/results/datamlw.py",start:5713564,end:5729135,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/multivariate/tests/results/factor_data.csv",start:5729135,end:5732854,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/multivariate/tests/results/factors_stata.csv",start:5732854,end:5741205,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/__init__.py",start:5741205,end:5741205,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/test_asymmetric.py",start:5741205,end:5745895,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/test_bandwidths.py",start:5745895,end:5748390,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/test_kde.py",start:5748390,end:5761217,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/test_kernel_density.py",start:5761217,end:5780068,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/test_kernel_regression.py",start:5780068,end:5795996,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/test_kernels.py",start:5795996,end:5800931,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/test_lowess.py",start:5800931,end:5811098,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/results/__init__.py",start:5811098,end:5811098,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/results/results_kcde.csv",start:5811098,end:5823185,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/results/results_kde.csv",start:5823185,end:5832763,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/results/results_kde_fft.csv",start:5832763,end:5845563,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/results/results_kde_univ_weights.csv",start:5845563,end:5851606,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/results/results_kde_weights.csv",start:5851606,end:5852468,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/results/results_kernel_regression.csv",start:5852468,end:5859268,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/results/test_lowess_delta.csv",start:5859268,end:5867639,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/results/test_lowess_frac.csv",start:5867639,end:5869819,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/results/test_lowess_iter.csv",start:5869819,end:5870797,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/nonparametric/tests/results/test_lowess_simple.csv",start:5870797,end:5871428,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/othermod/tests/__init__.py",start:5871428,end:5871428,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/othermod/tests/test_beta.py",start:5871428,end:5883408,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/othermod/tests/results/__init__.py",start:5883408,end:5883408,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/othermod/tests/results/results_betareg.py",start:5883408,end:5886808,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/othermod/tests/results/foodexpenditure.csv",start:5886808,end:5887423,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/othermod/tests/results/methylation-test.csv",start:5887423,end:5890343,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/othermod/tests/results/resid_methylation.csv",start:5890343,end:5895107,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/__init__.py",start:5895107,end:5895107,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/test_cov.py",start:5895107,end:5896292,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/test_dimred.py",start:5896292,end:5902974,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/test_glsar_gretl.py",start:5902974,end:5928930,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/test_glsar_stata.py",start:5928930,end:5932382,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/test_lme.py",start:5932382,end:5977416,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/test_predict.py",start:5977416,end:5987542,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/test_processreg.py",start:5987542,end:5993479,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/test_quantile_regression.py",start:5993479,end:6004602,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/test_recursive_ls.py",start:6004602,end:6023186,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/test_regression.py",start:6023186,end:6074636,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/test_robustcov.py",start:6074636,end:6108003,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/test_rolling.py",start:6108003,end:6118970,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/test_theil.py",start:6118970,end:6132469,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/test_tools.py",start:6132469,end:6135145,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/__init__.py",start:6135145,end:6135145,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/generate_lasso.py",start:6135145,end:6135777,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/generate_lme.py",start:6135777,end:6137807,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/glmnet_r_results.py",start:6137807,end:6144662,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/lme_r_results.py",start:6144662,end:6160329,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/macro_gr_corc_stata.py",start:6160329,end:6171429,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/results_grunfeld_ols_robust_cluster.py",start:6171429,end:6194981,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/results_macro_ols_robust.py",start:6194981,end:6207941,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/results_quantile_regression.py",start:6207941,end:6235587,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/results_regression.py",start:6235587,end:6245403,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/results_theil_textile.py",start:6245403,end:6247604,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/dietox.csv",start:6247604,end:6277460,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/lasso_data.csv",start:6277460,end:6284294,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/lme00.csv",start:6284294,end:6290554,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/lme01.csv",start:6290554,end:6297164,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/lme02.csv",start:6297164,end:6304818,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/lme03.csv",start:6304818,end:6312279,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/lme04.csv",start:6312279,end:6322148,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/lme05.csv",start:6322148,end:6332622,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/lme06.csv",start:6332622,end:6341090,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/lme07.csv",start:6341090,end:6349592,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/lme08.csv",start:6349592,end:6359345,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/lme09.csv",start:6359345,end:6369335,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/lme10.csv",start:6369335,end:6381318,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/lme11.csv",start:6381318,end:6393224,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/pastes.csv",start:6393224,end:6394681,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/results_rls_R.csv",start:6394681,end:6408967,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/results_rls_stata.csv",start:6408967,end:6422075,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/theil_textile_predict.csv",start:6422075,end:6422440,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/regression/tests/results/leverage_influence_ols_nostars.txt",start:6422440,end:6436983,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/robust/tests/__init__.py",start:6436983,end:6436983,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/robust/tests/test_rlm.py",start:6436983,end:6449582,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/robust/tests/test_scale.py",start:6449582,end:6458234,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/robust/tests/results/__init__.py",start:6458234,end:6458234,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/robust/tests/results/results_rlm.py",start:6458234,end:6477518,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/distributions/tests/__init__.py",start:6477518,end:6477518,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/distributions/tests/_est_fit.py",start:6477518,end:6480078,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/distributions/tests/check_moments.py",start:6480078,end:6485467,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/distributions/tests/distparams.py",start:6485467,end:6490597,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/distributions/tests/test_extras.py",start:6490597,end:6495363,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/distributions/tests/test_gof_new.py",start:6495363,end:6496325,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py",start:6496325,end:6502699,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py",start:6502699,end:6505506,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/distributions/tests/test_transf.py",start:6505506,end:6512036,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/nonparametric/tests/__init__.py",start:6512036,end:6512036,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/nonparametric/tests/ex_gam_am_new.py",start:6512036,end:6514373,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/nonparametric/tests/ex_gam_new.py",start:6514373,end:6518036,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/nonparametric/tests/ex_smoothers.py",start:6518036,end:6519342,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/nonparametric/tests/test_kernel_extras.py",start:6519342,end:6522803,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py",start:6522803,end:6525873,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/panel/tests/__init__.py",start:6525873,end:6525873,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/panel/tests/test_random_panel.py",start:6525873,end:6531310,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/regression/tests/__init__.py",start:6531310,end:6531310,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/regression/tests/results_gmm_griliches.py",start:6531310,end:6545623,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/regression/tests/results_gmm_griliches_iter.py",start:6545623,end:6552766,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/regression/tests/results_gmm_poisson.py",start:6552766,end:6578094,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/regression/tests/results_ivreg2_griliches.py",start:6578094,end:6614776,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/regression/tests/test_gmm.py",start:6614776,end:6646434,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py",start:6646434,end:6659746,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/regression/tests/griliches76.dta",start:6659746,end:6724482,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/regression/tests/racd10data_with_transformed.csv",start:6724482,end:7045738,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/stats/tests/__init__.py",start:7045738,end:7045738,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/stats/tests/test_multicomp.py",start:7045738,end:7046175,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/stats/tests/test_runs.py",start:7046175,end:7047078,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/tests/__init__.py",start:7047078,end:7047078,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/tests/maketests_mlabwrap.py",start:7047078,end:7056092,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/tests/savervs.py",start:7056092,end:7057255,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/tests/test_gam.py",start:7057255,end:7068421,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/tests/test_pca.py",start:7068421,end:7070900,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/sandbox/tests/test_predict_functional.py",start:7070900,end:7083678,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/libqsturng/tests/__init__.py",start:7083678,end:7083678,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py",start:7083678,end:7092623,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/libqsturng/tests/bootleg.dat",start:7092623,end:7375615,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/__init__.py",start:7375615,end:7375615,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_anova.py",start:7375615,end:7394542,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_anova_rm.py",start:7394542,end:7401852,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_base.py",start:7401852,end:7403562,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_contingency_tables.py",start:7403562,end:7423880,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_contrast.py",start:7423880,end:7426317,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_correlation.py",start:7426317,end:7428039,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_corrpsd.py",start:7428039,end:7444490,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_descriptivestats.py",start:7444490,end:7451668,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_diagnostic.py",start:7451668,end:7510565,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_diagnostic_other.py",start:7510565,end:7519651,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_dist_dependant_measures.py",start:7519651,end:7527e3,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_effectsize.py",start:7527e3,end:7529169,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_gof.py",start:7529169,end:7532595,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_groups_sw.py",start:7532595,end:7535254,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_influence.py",start:7535254,end:7544238,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_inter_rater.py",start:7544238,end:7556989,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_knockoff.py",start:7556989,end:7561358,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_lilliefors.py",start:7561358,end:7566481,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_mediation.py",start:7566481,end:7577156,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_meta.py",start:7577156,end:7592035,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_moment_helpers.py",start:7592035,end:7596927,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_multi.py",start:7596927,end:7617839,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_multivariate.py",start:7617839,end:7629598,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_nonparametric.py",start:7629598,end:7647622,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_oaxaca.py",start:7647622,end:7660298,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_oneway.py",start:7660298,end:7682444,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_outliers_influence.py",start:7682444,end:7683402,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_pairwise.py",start:7683402,end:7696349,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_panel_robustcov.py",start:7696349,end:7699068,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_power.py",start:7699068,end:7725298,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_proportion.py",start:7725298,end:7765212,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_qsturng.py",start:7765212,end:7766056,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_rates_poisson.py",start:7766056,end:7776337,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_regularized_covariance.py",start:7776337,end:7777853,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_robust_compare.py",start:7777853,end:7788922,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_sandwich.py",start:7788922,end:7792514,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_statstools.py",start:7792514,end:7803961,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_tabledist.py",start:7803961,end:7808231,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_tost.py",start:7808231,end:7832461,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_weightstats.py",start:7832461,end:7860468,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/test_data.txt",start:7860468,end:8075468,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/__init__.py",start:8075468,end:8075468,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/lilliefors_critical_value_simulation.py",start:8075468,end:8080811,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/results_meta.py",start:8080811,end:8099322,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/results_multinomial_proportions.py",start:8099322,end:8102004,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/results_panelrobust.py",start:8102004,end:8103984,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/results_power.py",start:8103984,end:8108533,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/results_proportion.py",start:8108533,end:8113597,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/results_rates.py",start:8113597,end:8114923,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/binary_constrict.csv",start:8114923,end:8117650,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/bootleg.csv",start:8117650,end:8400642,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/contingency_table_r_results.csv",start:8400642,end:8401503,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/framing.csv",start:8401503,end:8426076,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/influence_measures_R.csv",start:8426076,end:8454492,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/influence_measures_bool_R.csv",start:8454492,end:8464114,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/results_influence_logit.csv",start:8464114,end:8467815,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/wspec1.csv",start:8467815,end:8468614,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/wspec2.csv",start:8468614,end:8469621,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/wspec3.csv",start:8469621,end:8470526,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/wspec4.csv",start:8470526,end:8471747,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/influence_lsdiag_R.json",start:8471747,end:8491552,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/stats/tests/results/data.dat",start:8491552,end:8493321,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tests/__init__.py",start:8493321,end:8493369,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tests/test_package.py",start:8493369,end:8494219,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tools/tests/__init__.py",start:8494219,end:8494219,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tools/tests/test_catadd.py",start:8494219,end:8494892,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tools/tests/test_data.py",start:8494892,end:8495874,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tools/tests/test_decorators.py",start:8495874,end:8497832,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tools/tests/test_docstring.py",start:8497832,end:8501084,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tools/tests/test_eval_measures.py",start:8501084,end:8505181,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tools/tests/test_grouputils.py",start:8505181,end:8519847,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tools/tests/test_linalg.py",start:8519847,end:8520578,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tools/tests/test_numdiff.py",start:8520578,end:8535630,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tools/tests/test_parallel.py",start:8535630,end:8536034,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tools/tests/test_rootfinding.py",start:8536034,end:8538994,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tools/tests/test_sequences.py",start:8538994,end:8540630,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tools/tests/test_testing.py",start:8540630,end:8541399,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tools/tests/test_tools.py",start:8541399,end:8558823,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tools/tests/test_transform_model.py",start:8558823,end:8560607,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tools/tests/test_web.py",start:8560607,end:8562248,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tools/validation/tests/__init__.py",start:8562248,end:8562248,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tools/validation/tests/test_validation.py",start:8562248,end:8574837,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/ardl/tests/__init__.py",start:8574837,end:8574837,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/ardl/tests/test_ardl.py",start:8574837,end:8599119,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/arima/estimators/tests/__init__.py",start:8599119,end:8599119,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/arima/estimators/tests/test_burg.py",start:8599119,end:8603088,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py",start:8603088,end:8607123,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/arima/estimators/tests/test_gls.py",start:8607123,end:8615542,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py",start:8615542,end:8629857,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/arima/estimators/tests/test_innovations.py",start:8629857,end:8642884,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/arima/estimators/tests/test_statespace.py",start:8642884,end:8645081,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py",start:8645081,end:8648058,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/arima/tests/__init__.py",start:8648058,end:8648058,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/arima/tests/test_model.py",start:8648058,end:8663072,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/arima/tests/test_params.py",start:8663072,end:8685510,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/arima/tests/test_specification.py",start:8685510,end:8709661,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/arima/tests/test_tools.py",start:8709661,end:8713040,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/base/tests/__init__.py",start:8713040,end:8713040,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/base/tests/test_base.py",start:8713040,end:8716757,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/base/tests/test_datetools.py",start:8716757,end:8719930,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/base/tests/test_prediction.py",start:8719930,end:8721409,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/base/tests/test_tsa_indexes.py",start:8721409,end:8766407,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/filters/tests/__init__.py",start:8766407,end:8766407,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/filters/tests/test_filters.py",start:8766407,end:8805725,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/filters/tests/results/__init__.py",start:8805725,end:8805725,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/filters/tests/results/filter_results.py",start:8805725,end:8809587,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/forecasting/tests/__init__.py",start:8809587,end:8809587,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/forecasting/tests/test_stl.py",start:8809587,end:8815841,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/forecasting/tests/test_theta.py",start:8815841,end:8820470,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/tests/__init__.py",start:8820470,end:8820470,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py",start:8820470,end:8887623,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/tests/results/__init__.py",start:8887623,end:8887623,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/tests/results/housing-data.csv",start:8887623,end:8899541,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/innovations/tests/__init__.py",start:8899541,end:8899541,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/innovations/tests/test_arma_innovations.py",start:8899541,end:8901679,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py",start:8901679,end:8915558,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/interp/tests/__init__.py",start:8915558,end:8915558,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/interp/tests/test_denton.py",start:8915558,end:8916790,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/regime_switching/tests/__init__.py",start:8916790,end:8916790,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py",start:8916790,end:8958190,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/regime_switching/tests/test_markov_regression.py",start:8958190,end:9028242,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/regime_switching/tests/test_markov_switching.py",start:9028242,end:9040485,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/regime_switching/tests/results/__init__.py",start:9040485,end:9040485,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/regime_switching/tests/results/mar_filardo.csv",start:9040485,end:9080451,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/regime_switching/tests/results/results_predict_fedfunds.csv",start:9080451,end:9108452,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/regime_switching/tests/results/results_predict_rgnp.csv",start:9108452,end:9121718,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/__init__.py",start:9121718,end:9121718,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/kfas_helpers.py",start:9121718,end:9125397,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py",start:9125397,end:9132253,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_cfa_tvpvar.py",start:9132253,end:9139809,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_chandrasekhar.py",start:9139809,end:9148675,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_collapsed.py",start:9148675,end:9175821,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_concentrated.py",start:9175821,end:9187661,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_conserve_memory.py",start:9187661,end:9201216,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor.py",start:9201216,end:9240116,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py",start:9240116,end:9323433,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py",start:9323433,end:9342314,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py",start:9342314,end:9366275,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py",start:9366275,end:9406878,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py",start:9406878,end:9442401,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_fixed_params.py",start:9442401,end:9471417,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_forecasting.py",start:9471417,end:9472994,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_impulse_responses.py",start:9472994,end:9500009,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_initialization.py",start:9500009,end:9513821,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_kalman.py",start:9513821,end:9541117,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_mlemodel.py",start:9541117,end:9588200,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_models.py",start:9588200,end:9599033,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py",start:9599033,end:9618042,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_news.py",start:9618042,end:9660138,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_options.py",start:9660138,end:9669518,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_pickle.py",start:9669518,end:9674628,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_prediction.py",start:9674628,end:9677793,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_representation.py",start:9677793,end:9725001,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py",start:9725001,end:9830345,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_save.py",start:9830345,end:9835232,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_simulate.py",start:9835232,end:9906660,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py",start:9906660,end:9934848,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_smoothing.py",start:9934848,end:9996829,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_structural.py",start:9996829,end:10022816,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_tools.py",start:10022816,end:10053257,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_univariate.py",start:10053257,end:10080443,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_var.py",start:10080443,end:10088931,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/test_varmax.py",start:10088931,end:10138488,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/__init__.py",start:10138488,end:10138488,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_dynamic_factor.py",start:10138488,end:10145254,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_kalman_filter.py",start:10145254,end:10186754,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_sarimax.py",start:10186754,end:10200539,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_structural.py",start:10200539,end:10210008,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_var_R.py",start:10210008,end:10215627,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_var_misc.py",start:10215627,end:10221303,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_varmax.py",start:10221303,end:10230012,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_Omega_11.csv",start:10230012,end:10230106,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_Omega_22.csv",start:10230106,end:10230284,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_S10.csv",start:10230284,end:10230379,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_Si0.csv",start:10230379,end:10230545,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_beta.csv",start:10230545,end:10231941,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_invP.csv",start:10231941,end:10256e3,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_posterior_mean.csv",start:10256e3,end:10257380,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_state_variates.csv",start:10257380,end:10258783,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_v10.csv",start:10258783,end:10258789,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_vi0.csv",start:10258789,end:10258793,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/clark1989.csv",start:10258793,end:10263227,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/exponential_smoothing_params.csv",start:10263227,end:10265001,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/exponential_smoothing_predict.csv",start:10265001,end:10276563,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/exponential_smoothing_states.csv",start:10276563,end:10289913,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_clark1989_R.csv",start:10289913,end:10315533,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_dynamic_factor_stata.csv",start:10315533,end:10358799,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_exact_initial_common_level_R.csv",start:10358799,end:10364100,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_exact_initial_common_level_restricted_R.csv",start:10364100,end:10368811,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_exact_initial_dfm_R.csv",start:10368811,end:10386251,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_exact_initial_local_level_R.csv",start:10386251,end:10389712,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_exact_initial_local_linear_trend_R.csv",start:10389712,end:10394008,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_exact_initial_local_linear_trend_missing_R.csv",start:10394008,end:10398258,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_R.csv",start:10398258,end:10407901,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_measurement_error_R.csv",start:10407901,end:10426994,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_missing_R.csv",start:10426994,end:10439757,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_mixed_R.csv",start:10439757,end:10449478,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_intercepts_R.csv",start:10449478,end:10569538,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_realgdpar_stata.csv",start:10569538,end:10632159,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_sarimax_coverage.csv",start:10632159,end:10638426,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing0.csv",start:10638426,end:10640621,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing1.csv",start:10640621,end:10642831,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing2.csv",start:10642831,end:10645073,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing3.csv",start:10645073,end:10693343,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing3_variates.csv",start:10693343,end:10715465,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing4.csv",start:10715465,end:10763937,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing5.csv",start:10763937,end:10811287,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing6.csv",start:10811287,end:10855804,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_smoothing2_R.csv",start:10855804,end:11000570,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_smoothing3_R.csv",start:11000570,end:11033099,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_smoothing_R.csv",start:11033099,end:11150324,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_smoothing_generalobscov_R.csv",start:11150324,end:11271867,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_var_R_output.csv",start:11271867,end:11340548,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_var_stata.csv",start:11340548,end:11365140,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_varmax_stata.csv",start:11365140,end:11391204,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_matlab_ssm.csv",start:11391204,end:11397457,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_stata.csv",start:11397457,end:11411927,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/results_wpi1_missing_ar3_matlab_ssm.csv",start:11411927,end:11418526,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/manufac.dta",start:11418526,end:11437672,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/sm-0.9-sarimax.pkl",start:11437672,end:11444325,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/__init__.py",start:11444325,end:11444325,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_111.mat",start:11444325,end:11455802,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_112.mat",start:11455802,end:11467288,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_11F.mat",start:11467288,end:11478810,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_221.mat",start:11478810,end:11491358,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_222.mat",start:11491358,end:11503915,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_22F.mat",start:11503915,end:11516600,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_111.mat",start:11516600,end:11537285,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_112.mat",start:11537285,end:11557985,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_221.mat",start:11557985,end:11588732,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_222.mat",start:11588732,end:11619522,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_112.mat",start:11619522,end:11631245,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_222.mat",start:11631245,end:11644027,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_blocks_112.mat",start:11644027,end:11664942,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_blocks_222.mat",start:11664942,end:11695967,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/__init__.py",start:11695967,end:11695967,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/__init__.py",start:11695967,end:11695967,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/__init__.py",start:11695967,end:11695967,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/2016-06-29.csv",start:11695967,end:11754657,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/2016-07-29.csv",start:11754657,end:11813506,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/__init__.py",start:11813506,end:11813506,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/__init__.py",start:11813506,end:11813506,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/test_adfuller_lag.py",start:11813506,end:11815425,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/test_ar.py",start:11815425,end:11852432,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/test_arima_process.py",start:11852432,end:11867971,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/test_bds.py",start:11867971,end:11870646,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/test_deterministic.py",start:11870646,end:11893236,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/test_exponential_smoothing.py",start:11893236,end:11924620,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/test_seasonal.py",start:11924620,end:11940447,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/test_stattools.py",start:11940447,end:11989317,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/test_stl.py",start:11989317,end:12000449,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/test_tsa_tools.py",start:12000449,end:12027976,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/test_x13.py",start:12027976,end:12029477,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/__init__.py",start:12029477,end:12029477,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/arima111_css_results.py",start:12029477,end:12056450,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/arima111_results.py",start:12056450,end:12083413,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/arima111nc_css_results.py",start:12083413,end:12110113,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/arima111nc_results.py",start:12110113,end:12136816,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/arima112_css_results.py",start:12136816,end:12163990,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/arima112_results.py",start:12163990,end:12191166,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/arima112nc_css_results.py",start:12191166,end:12217900,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/arima112nc_results.py",start:12217900,end:12240517,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/arima211_css_results.py",start:12240517,end:12267681,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/arima211_results.py",start:12267681,end:12294838,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/arima211nc_css_results.py",start:12294838,end:12321700,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/arima211nc_results.py",start:12321700,end:12344318,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/datamlw_tls.py",start:12344318,end:12350866,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/make_arma.py",start:12350866,end:12352742,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/results_ar.py",start:12352742,end:12362102,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/results_arima.py",start:12362102,end:12385484,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/results_arma.py",start:12385484,end:12427996,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/results_arma_acf.py",start:12427996,end:12430001,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/results_process.py",start:12430001,end:12431380,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/savedrvs.py",start:12431380,end:12450683,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/ARMLEConstantPredict.csv",start:12450683,end:12455378,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/AROLSConstantPredict.csv",start:12455378,end:12477046,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/AROLSNoConstantPredict.csv",start:12477046,end:12498013,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/arima111_forecasts.csv",start:12498013,end:12504598,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/arima212_forecast.csv",start:12504598,end:12510883,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/bds_data.csv",start:12510883,end:12514854,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/bds_results.csv",start:12514854,end:12516319,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/gnpdef.csv",start:12516319,end:12517305,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/rand10000.csv",start:12517305,end:12641017,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/resids_css_c.csv",start:12641017,end:12661169,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/resids_css_nc.csv",start:12661169,end:12681332,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/resids_exact_c.csv",start:12681332,end:12701619,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/resids_exact_nc.csv",start:12701619,end:12721925,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/results_ar_forecast_mle_dynamic.csv",start:12721925,end:12732447,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/results_arima_exog_forecasts_css.csv",start:12732447,end:12736817,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/results_arima_exog_forecasts_mle.csv",start:12736817,end:12741453,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/results_arima_forecasts.csv",start:12741453,end:12765202,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/results_arima_forecasts_all_css.csv",start:12765202,end:12780278,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/results_arima_forecasts_all_css_diff.csv",start:12780278,end:12794505,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/results_arima_forecasts_all_mle.csv",start:12794505,end:12808518,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/results_arima_forecasts_all_mle_diff.csv",start:12808518,end:12823996,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/results_arma_forecasts.csv",start:12823996,end:12825310,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/results_corrgram.csv",start:12825310,end:12828373,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/rgnp.csv",start:12828373,end:12829116,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/rgnpq.csv",start:12829116,end:12831019,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/stkprc.csv",start:12831019,end:12832226,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/stl_co2.csv",start:12832226,end:12834623,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/stl_test_results.csv",start:12834623,end:13097637,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/y_arma_data.csv",start:13097637,end:13173788,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/yhat_css_c.csv",start:13173788,end:13193354,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/yhat_css_nc.csv",start:13193354,end:13213627,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/yhat_exact_c.csv",start:13213627,end:13233322,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/yhat_exact_nc.csv",start:13233322,end:13253735,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/lutkepohl2.dta",start:13253735,end:13259735,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/fit_ets_results.json",start:13259735,end:13378231,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/fit_ets_results_nonseasonal.json",start:13378231,end:13404608,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/tests/results/fit_ets_results_seasonal.json",start:13404608,end:13490225,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/__init__.py",start:13490225,end:13490225,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/example_svar.py",start:13490225,end:13491227,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/test_coint.py",start:13491227,end:13501166,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/test_svar.py",start:13501166,end:13504052,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/test_var.py",start:13504052,end:13533892,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py",start:13533892,end:13560318,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py",start:13560318,end:13638021,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/__init__.py",start:13638021,end:13638021,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/parse_jmulti_var_output.py",start:13638021,end:13656010,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/parse_jmulti_vecm_output.py",start:13656010,end:13679608,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c.txt",start:13679608,end:13683108,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_Sigmau.txt",start:13683108,end:13683753,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_diag.txt",start:13683753,end:13686e3,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_fc5.txt",start:13686e3,end:13687492,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realcons.txt",start:13687492,end:13687829,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realcons_realgdp.txt",start:13687829,end:13688166,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realcons_realinv.txt",start:13688166,end:13688503,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realgdp.txt",start:13688503,end:13688839,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realgdp_realinv.txt",start:13688839,end:13689175,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realinv.txt",start:13689175,end:13689511,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_ir.txt",start:13689511,end:13694250,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_lagorder.txt",start:13694250,end:13694694,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs.txt",start:13694694,end:13698695,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_Sigmau.txt",start:13698695,end:13699340,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_diag.txt",start:13699340,end:13701587,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_fc5.txt",start:13701587,end:13703079,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realcons.txt",start:13703079,end:13703416,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realcons_realgdp.txt",start:13703416,end:13703753,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realcons_realinv.txt",start:13703753,end:13704090,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realgdp.txt",start:13704090,end:13704426,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realgdp_realinv.txt",start:13704426,end:13704762,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realinv.txt",start:13704762,end:13705098,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_ir.txt",start:13705098,end:13709837,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_lagorder.txt",start:13709837,end:13710290,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst.txt",start:13710290,end:13714461,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_Sigmau.txt",start:13714461,end:13715106,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_diag.txt",start:13715106,end:13717353,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_fc5.txt",start:13717353,end:13718845,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realcons.txt",start:13718845,end:13719182,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realcons_realgdp.txt",start:13719182,end:13719519,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realcons_realinv.txt",start:13719519,end:13719856,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realgdp.txt",start:13719856,end:13720192,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realgdp_realinv.txt",start:13720192,end:13720528,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realinv.txt",start:13720528,end:13720864,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_ir.txt",start:13720864,end:13725603,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_lagorder.txt",start:13725603,end:13726062,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct.txt",start:13726062,end:13729732,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_Sigmau.txt",start:13729732,end:13730377,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_diag.txt",start:13730377,end:13732624,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_fc5.txt",start:13732624,end:13734116,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realcons.txt",start:13734116,end:13734453,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realcons_realgdp.txt",start:13734453,end:13734790,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realcons_realinv.txt",start:13734790,end:13735127,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realgdp.txt",start:13735127,end:13735463,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realgdp_realinv.txt",start:13735463,end:13735799,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realinv.txt",start:13735799,end:13736135,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_ir.txt",start:13736135,end:13740874,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_lagorder.txt",start:13740874,end:13741324,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc.txt",start:13741324,end:13744494,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_Sigmau.txt",start:13744494,end:13745139,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_diag.txt",start:13745139,end:13747386,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_fc5.txt",start:13747386,end:13748878,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realcons.txt",start:13748878,end:13749215,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realcons_realgdp.txt",start:13749215,end:13749552,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realcons_realinv.txt",start:13749552,end:13749889,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realgdp.txt",start:13749889,end:13750225,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realgdp_realinv.txt",start:13750225,end:13750561,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realinv.txt",start:13750561,end:13750897,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_ir.txt",start:13750897,end:13755636,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_lagorder.txt",start:13755636,end:13756047,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs.txt",start:13756047,end:13759878,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_Sigmau.txt",start:13759878,end:13760523,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_diag.txt",start:13760523,end:13762770,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_fc5.txt",start:13762770,end:13764262,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realcons.txt",start:13764262,end:13764599,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realcons_realgdp.txt",start:13764599,end:13764936,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realcons_realinv.txt",start:13764936,end:13765273,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realgdp.txt",start:13765273,end:13765609,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realgdp_realinv.txt",start:13765609,end:13765945,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_ir.txt",start:13765945,end:13770684,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realinv.txt",start:13770684,end:13771020,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_lagorder.txt",start:13771020,end:13771467,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci.txt",start:13771467,end:13775237,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_Sigmau.txt",start:13775237,end:13775608,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_diag.txt",start:13775608,end:13777428,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_fc5.txt",start:13777428,end:13778496,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_granger_causality_dp_r.txt",start:13778496,end:13778790,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_granger_causality_r_dp.txt",start:13778790,end:13779084,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_inst_causality_dp_r.txt",start:13779084,end:13779378,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_inst_causality_r_dp.txt",start:13779378,end:13779672,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_ir.txt",start:13779672,end:13782113,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_lagorder.txt",start:13782113,end:13782545,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili.txt",start:13782545,end:13786616,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_Sigmau.txt",start:13786616,end:13786987,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_diag.txt",start:13786987,end:13788807,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_fc5.txt",start:13788807,end:13789875,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_granger_causality_dp_r.txt",start:13789875,end:13790169,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_granger_causality_r_dp.txt",start:13790169,end:13790463,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_inst_causality_dp_r.txt",start:13790463,end:13790757,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_inst_causality_r_dp.txt",start:13790757,end:13791051,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_ir.txt",start:13791051,end:13793492,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_lagorder.txt",start:13793492,end:13793930,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis.txt",start:13793930,end:13798584,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_Sigmau.txt",start:13798584,end:13798955,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_diag.txt",start:13798955,end:13800775,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_fc5.txt",start:13800775,end:13801843,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_granger_causality_dp_r.txt",start:13801843,end:13802137,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_granger_causality_r_dp.txt",start:13802137,end:13802431,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_inst_causality_dp_r.txt",start:13802431,end:13802725,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_inst_causality_r_dp.txt",start:13802725,end:13803019,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_ir.txt",start:13803019,end:13805460,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_lagorder.txt",start:13805460,end:13805901,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli.txt",start:13805901,end:13810916,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_Sigmau.txt",start:13810916,end:13811287,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_diag.txt",start:13811287,end:13813107,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_fc5.txt",start:13813107,end:13814175,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_granger_causality_dp_r.txt",start:13814175,end:13814469,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_granger_causality_r_dp.txt",start:13814469,end:13814763,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_inst_causality_dp_r.txt",start:13814763,end:13815057,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_inst_causality_r_dp.txt",start:13815057,end:13815351,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_ir.txt",start:13815351,end:13817792,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_lagorder.txt",start:13817792,end:13818239,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co.txt",start:13818239,end:13822180,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_Sigmau.txt",start:13822180,end:13822551,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_diag.txt",start:13822551,end:13824371,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_fc5.txt",start:13824371,end:13825439,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_granger_causality_dp_r.txt",start:13825439,end:13825733,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_granger_causality_r_dp.txt",start:13825733,end:13826027,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_inst_causality_dp_r.txt",start:13826027,end:13826321,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_inst_causality_r_dp.txt",start:13826321,end:13826615,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_ir.txt",start:13826615,end:13829056,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_lagorder.txt",start:13829056,end:13829488,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo.txt",start:13829488,end:13833683,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_Sigmau.txt",start:13833683,end:13834054,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_diag.txt",start:13834054,end:13835874,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_fc5.txt",start:13835874,end:13836942,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_granger_causality_dp_r.txt",start:13836942,end:13837236,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_granger_causality_r_dp.txt",start:13837236,end:13837530,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_inst_causality_dp_r.txt",start:13837530,end:13837824,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_inst_causality_r_dp.txt",start:13837824,end:13838118,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_ir.txt",start:13838118,end:13840559,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_lagorder.txt",start:13840559,end:13840997,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos.txt",start:13840997,end:13845691,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_Sigmau.txt",start:13845691,end:13846062,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_diag.txt",start:13846062,end:13847882,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_fc5.txt",start:13847882,end:13848950,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_granger_causality_dp_r.txt",start:13848950,end:13849244,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_granger_causality_r_dp.txt",start:13849244,end:13849538,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_inst_causality_dp_r.txt",start:13849538,end:13849832,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_inst_causality_r_dp.txt",start:13849832,end:13850126,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_ir.txt",start:13850126,end:13852567,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_lagorder.txt",start:13852567,end:13853008,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo.txt",start:13853008,end:13857956,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_Sigmau.txt",start:13857956,end:13858327,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_diag.txt",start:13858327,end:13860147,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_fc5.txt",start:13860147,end:13861215,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_granger_causality_dp_r.txt",start:13861215,end:13861509,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_granger_causality_r_dp.txt",start:13861509,end:13861803,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_inst_causality_dp_r.txt",start:13861803,end:13862097,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_inst_causality_r_dp.txt",start:13862097,end:13862391,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_ir.txt",start:13862391,end:13864832,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_lagorder.txt",start:13864832,end:13865279,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc.txt",start:13865279,end:13868705,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_Sigmau.txt",start:13868705,end:13869076,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_diag.txt",start:13869076,end:13870896,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_fc5.txt",start:13870896,end:13871964,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_granger_causality_dp_r.txt",start:13871964,end:13872258,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_granger_causality_r_dp.txt",start:13872258,end:13872552,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_inst_causality_dp_r.txt",start:13872552,end:13872846,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_inst_causality_r_dp.txt",start:13872846,end:13873140,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_ir.txt",start:13873140,end:13875581,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_lagorder.txt",start:13875581,end:13875980,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs.txt",start:13875980,end:13880420,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_Sigmau.txt",start:13880420,end:13880791,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_diag.txt",start:13880791,end:13882611,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_fc5.txt",start:13882611,end:13883679,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_granger_causality_dp_r.txt",start:13883679,end:13883973,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_granger_causality_r_dp.txt",start:13883973,end:13884267,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_inst_causality_dp_r.txt",start:13884267,end:13884561,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_inst_causality_r_dp.txt",start:13884561,end:13884855,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_ir.txt",start:13884855,end:13887296,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_lagorder.txt",start:13887296,end:13887731,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/Matlab_results/__init__.py",start:13887731,end:13887731,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/Matlab_results/test_coint.csv",start:13887731,end:13910048,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/results/__init__.py",start:13910048,end:13910048,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/results/results_svar.py",start:13910048,end:13910443,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/results/results_svar_st.py",start:13910443,end:13952376,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/results/results_var.py",start:13952376,end:13955031,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/results/results_var_data.py",start:13955031,end:13961809,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/results/vars_results.npz",start:13961809,end:13967505,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/results/e1.dat",start:13967505,end:13970108,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/results/e2.dat",start:13970108,end:13972160,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/results/e3.dat",start:13972160,end:13979779,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/results/e4.dat",start:13979779,end:13983024,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/results/e5.dat",start:13983024,end:13994696,audio:0},{filename:"/lib/python3.9/site-packages/statsmodels/tsa/vector_ar/tests/results/e6.dat",start:13994696,end:13999775,audio:0}],remote_package_size:8825079,package_uuid:"6f941afa-c945-4a00-b8f1-51b84276b081"})})();