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- "▁) ->",
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- "_ COPY",
- "_C OPY",
- "_CO PY",
- "▁▁▁▁ ▁▁▁▁▁▁▁▁\t",
- "▁▁▁▁▁▁▁▁ ▁▁▁▁\t",
- "▁▁▁▁▁▁▁▁▁▁▁ ▁\t",
- "▁▁▁▁▁▁▁▁▁ ▁▁▁\t",
- "▁▁▁▁▁▁ ▁▁▁▁▁▁\t",
- "▁▁▁▁▁▁▁▁▁▁▁▁ \t",
- "▁▁▁▁▁▁▁▁▁▁ ▁▁\t",
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- "▁\t\t \t\t",
- "▁\t\t\t \t",
- "_ gpu",
- "_g pu",
- "T xt",
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- "▁Ri vers",
- "▁ ][",
- "▁] [",
- "J et",
- "Je t",
- "id ian",
- "idi an",
- "S ibling",
- "Si bling",
- "▁gen res",
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- ". Access",
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- ".Ac cess",
- "O PS",
- "OP S",
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- "al en",
- "ale n",
- "▁S word",
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- "▁guarantee s",
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- "▁ LET",
- "▁L ET",
- "▁LE T",
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- "/ vendor",
- "/v endor",
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- "▁ wow",
- "▁w ow",
- "▁wo w",
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- "▁M arshal",
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- "▁Marsh al",
- "\" >'.$",
- "\"> '.$",
- "\">' .$",
- "\">'. $",
- "▁B ak",
- "▁Ba k",
- "▁mod ifiers",
- "▁modifier s",
- "d ictionary",
- "▁S tre",
- "▁St re",
- "▁Str e",
- "m ultiple",
- "mult iple",
- "multi ple",
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- "▁C ort",
- "▁Co rt",
- "▁Cor t",
- "' ]\").",
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- "( admin",
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- "▁ Creator",
- "▁C reator",
- "▁Cre ator",
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- "Inter net",
- "( ms",
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- "_ my",
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- "(in st",
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- "▁sc iences",
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- ". enter",
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- "▁it u",
- "▁i tu",
- "▁be have",
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- "=' <",
- "' ));\r\n",
- "') );\r\n",
- "')) ;\r\n",
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- "▁ MENU",
- "▁M ENU",
- "▁ME NU",
- "▁Work ers",
- "▁Worker s",
- "▁Wor kers",
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- "▁bind ings",
- "▁binding s",
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- "{ \\",
- "▁M unicip",
- "▁Mun icip",
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- "▁c ores",
- "▁co res",
- "▁cor es",
- "▁core s",
- "ur ple",
- "▁N okia",
- "us ions",
- "usion s",
- "usi ons",
- "▁F itness",
- "▁Fit ness",
- ". handleChange",
- ".handle Change",
- "▁ javascript",
- "▁j avascript",
- "▁jav ascript",
- "▁java script",
- "( dec",
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- "(de c",
- "▁p acking",
- "▁pack ing",
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- "-de pend",
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- "z eros",
- "ze ros",
- "zer os",
- "zero s",
- "_ alert",
- "_al ert",
- "? \",\n",
- "?\" ,\n",
- "?\", \n",
- "l ibs",
- "li bs",
- "lib s",
- "▁ |\n\n",
- "▁| \n\n",
- "▁|\n \n",
- "tr ained",
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- "train ed",
- "▁G ent",
- "▁Ge nt",
- "▁Gen t",
- "▁R ab",
- "▁Ra b",
- "x p",
- "_ configuration",
- "_config uration",
- "_ accept",
- "_ac cept",
- ".rec yclerview",
- ": url",
- "▁Mu hammad",
- "▁privile ges",
- "▁privilege s",
- "_ bank",
- "_b ank",
- "u ku",
- "uk u",
- "w allet",
- "wall et",
- "wal let",
- "▁ ROOT",
- "▁R OOT",
- "▁RO OT",
- "▁enc uent",
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- "\t position",
- "\tp osition",
- "\tpos ition",
- "▁ cg",
- "▁c g",
- "▁prec ip",
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- "_ fast",
- "_f ast",
- "in crement",
- "inc rement",
- "incre ment",
- "▁T iger",
- "▁Ti ger",
- "_OCC URRED",
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- "qui p",
- "▁H AS",
- "▁HA S",
- "_ dom",
- "_d om",
- "_do m",
- "▁w reck",
- "b j",
- "▁d ern",
- "▁de rn",
- "▁der n",
- "▁org ans",
- "▁organ s",
- ". entries",
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- "▁_ ('",
- "▁_( '",
- "r amento",
- "ram ento",
- "▁Jam ie",
- "▁p unk",
- "▁pun k",
- "▁pu nk",
- "I PP",
- "IP P",
- "▁program a",
- "▁prog rama",
- "▁at tain",
- "▁att ain",
- "▁pro ves",
- "▁pr oves",
- "▁prov es",
- "▁prove s",
- "/ sign",
- "/s ign",
- "▁answer ing",
- "▁l adder",
- "▁lad der",
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- "******** ********************",
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- "******************** ********",
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- "▁Wal mart",
- "▁CONT ENT",
- "du ctor",
- "duct or",
- "duc tor",
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- "▁ PID",
- "▁P ID",
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- "c rypto",
- "crypt o",
- "cry pto",
- "_CALL BACK",
- "▁= ================================",
- "▁================= ================",
- "▁pot ent",
- "▁sh orts",
- "▁short s",
- ". Uri",
- ".U ri",
- ". uniform",
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- "; border",
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- "▁W er",
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- "▁here in",
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- "ll a",
- "▁I hr",
- "▁Ih r",
- "P ixmap",
- "l iteral",
- "lit eral",
- "! )\n\n",
- "!) \n\n",
- "!)\n \n",
- "g eneric",
- "gen eric",
- "gener ic",
- "gene ric",
- "r ust",
- "ru st",
- "rus t",
- "_ scripts",
- "_s cripts",
- "_script s",
- "o sto",
- "os to",
- "ost o",
- "it us",
- "itu s",
- "▁Coal ition",
- "▁re mot",
- "▁rem ot",
- "de ploy",
- "dep loy",
- "▁E agle",
- "▁Eag le",
- "▁import ante",
- "▁important e",
- "\t object",
- "\to bject",
- "\tobj ect",
- "▁season al",
- "▁seas onal",
- "n ej",
- "ne j",
- "ai du",
- "aid u",
- "Bind View",
- "▁Si erra",
- "- bg",
- "-b g",
- "▁make Styles",
- "[ offset",
- "[o ffset",
- "G ames",
- "Game s",
- "▁horm one",
- "AR IO",
- "ARI O",
- "he ads",
- "head s",
- "hea ds",
- "( select",
- "(s elect",
- "(se lect",
- "▁ Started",
- "▁Start ed",
- "▁Star ted",
- "@ param",
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- "_dec l",
- "_ blog",
- "_b log",
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- "\\ Api",
- "▁Mil waukee",
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- "Pr ovid",
- "An imated",
- "Anim ated",
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- "▁cool er",
- "▁ Seed",
- "▁S eed",
- "▁Se ed",
- "▁See d",
- ". Edit",
- ".E dit",
- "▁ Taking",
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- "▁Ta king",
- "▁Tak ing",
- "▁border Color",
- "-found er",
- ".Logger Factory",
- "▁\" \"\n\n",
- "▁\"\" \n\n",
- "▁\"\"\n \n",
- "A LT",
- "AL T",
- "▁ Late",
- "▁L ate",
- "▁La te",
- "▁Lat e",
- "EDI ATE",
- "EDIA TE",
- "▁ );\n\n\n",
- "▁) ;\n\n\n",
- "▁);\n \n\n",
- "▁);\n\n \n",
- "▁); \n\n\n",
- "a fa",
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- "▁c ancellation",
- "▁cancel lation",
- "▁cancell ation",
- "A tom",
- "At om",
- "▁B irmingham",
- "emp resa",
- "empre sa",
- "H EMA",
- "HE MA",
- "as cal",
- "asc al",
- "▁up side",
- "▁ups ide",
- ". Version",
- ".V ersion",
- "▁ Folder",
- "▁F older",
- "▁Fol der",
- "▁Fold er",
- "▁ Eight",
- "▁E ight",
- "▁V intage",
- "▁ AppDelegate",
- "▁App Delegate",
- "▁Pre vention",
- "▁Prevent ion",
- "▁Prev ention",
- ". separator",
- ".se parator",
- "S TM",
- "ST M",
- "( room",
- "(r oom",
- "g enerator",
- "gen erator",
- "gener ator",
- "▁c attle",
- "▁cat tle",
- "\t Z",
- "▁ Particle",
- "▁P article",
- "▁Part icle",
- "' };\n",
- "'} ;\n",
- "▁ne ighbours",
- "▁neighb ours",
- "▁neighbour s",
- "▁State less",
- "▁alt itude",
- "▁s aint",
- "▁sa int",
- "▁con vinc",
- "▁conv inc",
- "▁convin c",
- "▁ Contents",
- "▁Cont ents",
- "▁Content s",
- "▁je une",
- "▁jeu ne",
- "( ts",
- "(t s",
- "S erialization",
- "Serial ization",
- "( collection",
- "(c ollection",
- "(col lection",
- "▁J azz",
- "▁Ja zz",
- "▁D od",
- "▁Do d",
- "▁R och",
- "▁Ro ch",
- "a cio",
- "ac io",
- "aci o",
- "comm ended",
- "commend ed",
- "DE FINE",
- "DEF INE",
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- "▁special ty",
- "PL ACE",
- "_ MOVE",
- "_M OVE",
- "_MO VE",
- "_MOV E",
- "▁account able",
- "Re uters",
- "▁f icken",
- "▁fi cken",
- "▁fic ken",
- "▁fick en",
- "▁de pr",
- "▁dep r",
- "W ow",
- "V oid",
- "Vo id",
- ". space",
- ".s pace",
- ".sp ace",
- "▁t q",
- "▁P ets",
- "▁Pe ts",
- "▁Pet s",
- "< $",
- "( Current",
- "(C urrent",
- "ber ries",
- "plan ation",
- "▁list Of",
- "▁ Thu",
- "▁T hu",
- "▁Th u",
- "▁ PRINT",
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- "▁PRI NT",
- "▁m ismo",
- "▁mis mo",
- "▁ doi",
- "▁d oi",
- "▁do i",
- "ch k",
- "▁ Unicode",
- "▁Un icode",
- "▁Uni code",
- "( role",
- "(r ole",
- "▁vir gin",
- "< Point",
- " -->\n",
- "V ol",
- "Vo l",
- "▁S SD",
- "▁SS D",
- ") )),",
- ")) ),",
- "))) ,",
- ". Optional",
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- "▁n urses",
- "▁nur ses",
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- "▁ orb",
- "▁o rb",
- "▁or b",
- "_ pe",
- "_p e",
- ") ;\r\n\r\n\r\n",
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- "); \r\n\r\n\r\n",
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- "pl aced",
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- "ess er",
- "esse r",
- "▁ther apeutic",
- "▁wh itespace",
- "▁white space",
- "▁whites pace",
- "▁a ston",
- "▁as ton",
- "▁ast on",
- "Success ful",
- "▁pr aised",
- "▁praise d",
- "▁pra ised",
- "▁W es",
- "▁We s",
- "▁e ighth",
- "▁eight h",
- "i ral",
- "ir al",
- "ira l",
- "▁vrou w",
- "▁f action",
- "▁fact ion",
- "▁fa ction",
- "▁fac tion",
- "_ bias",
- "_b ias",
- "▁ witch",
- "▁w itch",
- "▁wit ch",
- "▁ npc",
- "▁n pc",
- "▁np c",
- "( sb",
- "(s b",
- "▁Rod rig",
- "▁Rodr ig",
- "_ big",
- "_b ig",
- "D ependency",
- "Dep endency",
- "▁Ab raham",
- "ar di",
- "ard i",
- "C AR",
- "CA R",
- "n os",
- "no s",
- "▁abund ance",
- "▁nut rients",
- "▁nutrient s",
- "in stein",
- "ins tein",
- ". Vert",
- ".V ert",
- ".Ver t",
- "▁ ISS",
- "▁I SS",
- "▁IS S",
- "< U",
- "▁s ums",
- "▁su ms",
- "▁sum s",
- "_ hist",
- "_h ist",
- "_hi st",
- "▁far mer",
- "▁farm er",
- "▁A br",
- "▁Ab r",
- "S hot",
- "Sh ot",
- "▁ BadRequest",
- "▁Bad Request",
- "▁h ass",
- "▁has s",
- "▁ha ss",
- "▁ Rails",
- "▁R ails",
- "▁Ra ils",
- "▁Rail s",
- "▁aff iliated",
- "▁affili ated",
- "▁affiliate d",
- "▁e rf",
- "▁er f",
- "I NF",
- "IN F",
- "▁ ViewHolder",
- "▁View Holder",
- "m ini",
- "min i",
- "mi ni",
- "▁R oth",
- "▁Ro th",
- "▁Rot h",
- "▁faith ful",
- "▁Phill ips",
- "▁Phillip s",
- "AN DOM",
- "AND OM",
- "] .[",
- "]. [",
- "_ PAY",
- "_P AY",
- "_PA Y",
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- "fa ker",
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- "D igit",
- "Di git",
- "Dig it",
- "M ale",
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- "Mal e",
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- "se ys",
- "sey s",
- "_ remote",
- "_rem ote",
- "l ique",
- "li que",
- "liqu e",
- "▁in def",
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- "▁ind ef",
- "▁inde f",
- "▁Indust ries",
- "i tra",
- "it ra",
- "itr a",
- "_p airs",
- "_pair s",
- "_pa irs",
- "< iostream",
- " D",
- "▁s ervlet",
- "▁serv let",
- "bast ian",
- "▁ >&",
- "▁> &",
- "S ID",
- "SI D",
- "_ clk",
- "_c lk",
- "_cl k",
- "▁di visions",
- "▁div isions",
- "▁division s",
- "▁divis ions",
- "} ',\n",
- "}' ,\n",
- "}', \n",
- "▁d ildo",
- "▁dil do",
- "▁par ade",
- "▁para de",
- "▁pa rade",
- "▁parad e",
- "m ajor",
- "▁a board",
- "▁ab oard",
- "; ++",
- "▁ fusion",
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- "▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁\n",
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- "▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁\n",
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- "\t view",
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- ". Bytes",
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- "▁Ma kes",
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- "akes peare",
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- ", u",
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- "▁▁▁▁▁▁▁ ▁\t\t",
- "▁▁▁▁▁▁ ▁▁\t\t",
- "▁▁▁▁▁▁▁▁\t \t",
- "▁n oun",
- "▁no un",
- "▁nou n",
- "w ig",
- "wi g",
- "▁g otta",
- "▁got ta",
- "▁r if",
- "▁ri f",
- "- im",
- "-i m",
- "▁Paul o",
- "▁Pa ulo",
- "▁Command Type",
- "] ))\n\n",
- "]) )\n\n",
- "])) \n\n",
- "]))\n \n",
- "- zero",
- "-z ero",
- "Tr aining",
- "Train ing",
- "Tra ining",
- "▁ lord",
- "▁l ord",
- "▁lo rd",
- "_ art",
- "_a rt",
- "_ar t",
- "re ddit",
- "red dit",
- "redd it",
- "C ert",
- "Ce rt",
- "▁p eso",
- "▁pe so",
- "▁pes o",
- "R ot",
- "Ro t",
- "▁en danger",
- "▁end anger",
- ". dr",
- ".d r",
- "user Info",
- "un ts",
- "unt s",
- "n v",
- "▁Tr ailer",
- "▁Tra iler",
- "▁Trail er",
- "- first",
- "-f irst",
- "-fi rst",
- "( make",
- "(m ake",
- "▁benef ici",
- "- black",
- "-bl ack",
- "▁und oubtedly",
- "▁m ex",
- "▁me x",
- "▁An cient",
- "▁Anc ient",
- "( as",
- "(a s",
- "▁des cent",
- "▁desc ent",
- "P ick",
- "Pic k",
- "Pi ck",
- "▁rep lica",
- "▁repl ica",
- "▁replic a",
- "$ obj",
- "▁ar rows",
- "▁arr ows",
- "▁arrow s",
- "f ty",
- "ft y",
- "▁Lib ya",
- "u ga",
- "ug a",
- "char ged",
- "charge d",
- "charg ed",
- "T ur",
- "Tu r",
- "▁h omic",
- "▁hom ic",
- "▁ho mic",
- "is sen",
- "iss en",
- "isse n",
- "▁ Fake",
- "▁F ake",
- "▁Fa ke",
- "▁be ers",
- "▁beer s",
- "▁bee rs",
- "▁sc attered",
- "▁scatter ed",
- "( Time",
- "(T ime",
- "UT IL",
- "▁bureauc r",
- "▁bureau cr",
- "/ plain",
- "/p lain",
- "/pl ain",
- "▁st icking",
- "▁stick ing",
- "F AIL",
- "FA IL",
- "▁C ovid",
- "▁Co vid",
- "Th ird",
- "_ present",
- "_p resent",
- "_pre sent",
- "_pres ent",
- "▁P ierre",
- "▁Pier re",
- "▁[ ...]\n\n",
- "▁[... ]\n\n",
- "▁[...] \n\n",
- "P rob",
- "Pro b",
- "Pr ob",
- "▁Tra ffic",
- "i cao",
- "ic ao",
- "ica o",
- "do ctor",
- "doc tor",
- "▁ ),\n\n",
- "▁) ,\n\n",
- "▁),\n \n",
- "▁), \n\n",
- "T abs",
- "Tab s",
- "Ta bs",
- "a lu",
- "al u",
- "▁in herent",
- "▁inher ent",
- "_ No",
- "_N o",
- "r itis",
- "rit is",
- "▁ Proof",
- "▁Pro of",
- ". basename",
- ".b asename",
- ".base name",
- "▁c him",
- "▁ch im",
- "▁chi m",
- "▁Prot ected",
- "▁Protect ed",
- "c rit",
- "cri t",
- "cr it",
- "▁pro ne",
- "▁pr one",
- "▁pron e",
- "▁Her oes",
- "▁Hero es",
- "▁an xious",
- "▁ anos",
- "▁a nos",
- "▁an os",
- "▁ano s",
- "▁week ends",
- "▁weekend s",
- "▁s ext",
- "▁se xt",
- "▁sex t",
- "▁re ducer",
- "▁red ucer",
- "▁redu cer",
- "▁reduce r",
- "= UTF",
- "h alf",
- "ha lf",
- "hal f",
- "▁S aw",
- "▁Sa w",
- ". mm",
- ".m m",
- "▁n ueva",
- "▁nue va",
- ".current Target",
- ". lua",
- ".l ua",
- "_EXT ENSION",
- "\t reg",
- "\tr eg",
- "\tre g",
- "▁ Ctrl",
- "▁C trl",
- "_ align",
- "_al ign",
- "accept able",
- "▁r ushing",
- "▁rush ing",
- "f rac",
- "fr ac",
- "fra c",
- "▁bo asts",
- "▁boast s",
- "F ive",
- "Fi ve",
- "▁ Temperature",
- "▁Tem perature",
- "> ):",
- ">) :",
- "▁ch arter",
- "▁char ter",
- "▁chart er",
- "RE ATED",
- "REATE D",
- "REAT ED",
- "REA TED",
- "▁sub jected",
- "▁subject ed",
- "▁o pc",
- "▁op c",
- "health y",
- "▁Scient ific",
- "▁fr au",
- "▁fra u",
- "ri ages",
- "ria ges",
- "riage s",
- ". inventory",
- ".in ventory",
- "at ionale",
- "ation ale",
- "ational e",
- "M ad",
- "Ma d",
- "min utes",
- "minute s",
- "> >();\n",
- ">> ();\n",
- ">>( );\n",
- ">>() ;\n",
- "▁ Env",
- "▁E nv",
- "▁En v",
- "▁record ings",
- "▁recording s",
- "▁susp icion",
- "sql ite",
- "\t read",
- "\tr ead",
- "\tre ad",
- "▁wor ries",
- ".put String",
- "▁Sh anghai",
- "( uid",
- "(u id",
- "(ui d",
- "r er",
- "re r",
- "\" ):",
- "\") :",
- "▁method ology",
- "c cc",
- "cc c",
- "av ad",
- "ava d",
- "▁in duction",
- "▁ind uction",
- "▁indu ction",
- "\t Thread",
- ", string",
- ",s tring",
- ",str ing",
- "neh men",
- "u ition",
- "ui tion",
- "uit ion",
- "▁* __",
- "▁*_ _",
- ".e mf",
- ".em f",
- "/ themes",
- "/th emes",
- "/theme s",
- "/the mes",
- "▁N ine",
- "▁Ni ne",
- "▁Nin e",
- ". One",
- ".On e",
- ".O ne",
- "▁ Embed",
- "▁Em bed",
- "▁Emb ed",
- "▁f az",
- "▁fa z",
- "u ations",
- "uation s",
- "uat ions",
- "▁private ly",
- "▁priv ately",
- "▁privat ely",
- "▁ ling",
- "▁l ing",
- "▁li ng",
- "▁lin g",
- "[ F",
- "u shi",
- "us hi",
- "ush i",
- "▁launch es",
- "( KEY",
- "G MT",
- "GM T",
- "▁a iming",
- "▁aim ing",
- "▁ai ming",
- "pat ible",
- "▁B iden",
- "▁Bi den",
- "▁Bid en",
- "i w",
- "▁ Degree",
- "▁D egree",
- "▁De gree",
- "▁Deg ree",
- "▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁",
- "▁$ ('<",
- "▁$( '<",
- "▁$(' <",
- "to UpperCase",
- "▁ EUR",
- "▁E UR",
- "▁EU R",
- "▁overs ight",
- "▁table sp",
- "▁tables p",
- "Up dates",
- "Update s",
- ".m akedirs",
- ".make dirs",
- "▁hum idity",
- "/ template",
- "/t emplate",
- "Al ways",
- "( IS",
- "(I S",
- "_ cert",
- "_c ert",
- "_ce rt",
- "D ig",
- "Di g",
- "▁under way",
- "or ton",
- "ort on",
- "▁Hur ricane",
- "▁sp ends",
- "▁spend s",
- "▁ Segment",
- "▁Se gment",
- "▁Seg ment",
- "▁ flies",
- "▁f lies",
- "▁fl ies",
- "▁ Toggle",
- "▁T oggle",
- "▁Lyn ch",
- "▁s enses",
- "▁sense s",
- "▁sens es",
- "▁sen ses",
- "▁K os",
- "▁Ko s",
- "set Enabled",
- "ist ically",
- "istic ally",
- "istical ly",
- "▁t ester",
- "▁te ster",
- "▁test er",
- "▁tes ter",
- "▁administr ators",
- "▁administrator s",
- "▁tag ged",
- "▁ shortcut",
- "▁short cut",
- "▁ Resolution",
- "▁Re solution",
- "▁Res olution",
- "▁super vision",
- "▁superv ision",
- "▁Ash ley",
- "Tr acking",
- "Track ing",
- "ul atory",
- "ulator y",
- "an del",
- "and el",
- "ande l",
- "i sten",
- "is ten",
- "ist en",
- "iste n",
- "▁un re",
- "▁unr e",
- "( diff",
- "(d iff",
- "(di ff",
- "AN TS",
- "ANT S",
- "▁r ider",
- "▁rid er",
- "▁ride r",
- "▁ri der",
- ". Series",
- ".S eries",
- ".Se ries",
- "_ orders",
- "_order s",
- "_or ders",
- "ORIZ ONTAL",
- "▁ret ention",
- ". Tests",
- ".T ests",
- ".Test s",
- "S yn",
- "Sy n",
- ".parse Double",
- "k ode",
- "ko de",
- "z ent",
- "ze nt",
- "zen t",
- "G eneration",
- "Gener ation",
- "Gen eration",
- "▁ad mits",
- "▁adm its",
- "▁admit s",
- "▁Le ak",
- "▁ aka",
- "▁a ka",
- "▁ak a",
- "RO WS",
- "ROW S",
- "▁Ang ela",
- "▁Ange la",
- "▁Angel a",
- "▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁",
- "▁ noon",
- "▁n oon",
- "▁no on",
- "▁st ark",
- "▁star k",
- "▁sta rk",
- "▁drag ged",
- "▁rec yclerView",
- "▁Sil icon",
- "_ suffix",
- "_s uffix",
- "J on",
- "Jo n",
- "c ock",
- "co ck",
- "▁Prob ably",
- "Int roduction",
- "Intro duction",
- "▁T error",
- "▁Te rror",
- "▁Ter ror",
- "▁Terr or",
- "( This",
- "(T his",
- "▁Base ball",
- "▁j enter",
- "che stra",
- "ches tra",
- "chest ra",
- ". nan",
- ".n an",
- "= g",
- "▁clar ify",
- "y ii",
- "yi i",
- "ro ots",
- "root s",
- "▁note book",
- "▁ Except",
- "▁Ex cept",
- "▁r ises",
- "▁ris es",
- "▁rise s",
- "▁ri ses",
- "▁Br ussels",
- "at ories",
- "ator ies",
- "ato ries",
- "atori es",
- ". USER",
- ".U SER",
- "ross over",
- "rosso ver",
- "/ upload",
- "▁Event ually",
- "Cons ider",
- "▁ Bound",
- "▁B ound",
- "▁Bo und",
- "▁Bou nd",
- ". identifier",
- ".id entifier",
- "(un ittest",
- "(unit test",
- "▁inf erior",
- "▁infer ior",
- "▁c rc",
- "▁cr c",
- "▁aut ism",
- "UI Alert",
- "▁K avanaugh",
- "i nement",
- "in ement",
- "ine ment",
- "queue Reusable",
- "S kin",
- "Sk in",
- ". backend",
- ".back end",
- ".get State",
- "un ding",
- "und ing",
- "undi ng",
- "▁sub class",
- "▁r efined",
- "▁ref ined",
- "▁refine d",
- "▁refin ed",
- "▁ann oy",
- "▁anno y",
- "▁r nd",
- "▁rn d",
- "Dir ector",
- "Direct or",
- "be cca",
- "bec ca",
- "m ongodb",
- "mongo db",
- "▁Common wealth",
- "A z",
- "▁ Thing",
- "▁Th ing",
- "▁Thi ng",
- "▁re com",
- "▁rec om",
- "▁reco m",
- "u ning",
- "un ing",
- "uni ng",
- "\t con",
- "\tc on",
- "\t ▁▁▁▁\n",
- "\t▁▁▁ ▁\n",
- "\t▁ ▁▁▁\n",
- "\t▁▁ ▁▁\n",
- "\t▁▁▁▁ \n",
- "em ics",
- "emic s",
- "emi cs",
- "e cd",
- "ec d",
- "▁hor ny",
- "▁horn y",
- "AT RIX",
- "▁mis leading",
- "▁B ew",
- "▁Be w",
- "/ node",
- "/n ode",
- "/no de",
- "c stdio",
- "▁add itions",
- "▁addition s",
- "r ir",
- "ri r",
- "_ requests",
- "_request s",
- "▁re cherche",
- "st udents",
- "student s",
- "_ positions",
- "_pos itions",
- "_position s",
- "er text",
- "ert ext",
- "erte xt",
- "▁Ev olution",
- "and ez",
- "ande z",
- "▁dist urb",
- "▁distur b",
- "key up",
- "▁But ler",
- ".read lines",
- ".readline s",
- "_ stdio",
- "_std io",
- "▁ bee",
- "▁b ee",
- "▁be e",
- "▁Arch ives",
- "▁Archive s",
- "▁never theless",
- "UR ITY",
- "URI TY",
- "▁d rones",
- "▁dr ones",
- "▁dro nes",
- "▁drone s",
- "ur ities",
- "uri ties",
- "\" >\r\n\r\n",
- "\"> \r\n\r\n",
- "\">\r\n \r\n",
- "▁di agonal",
- "▁diag onal",
- "▁C ancellationToken",
- "_ Internal",
- "_In ternal",
- "_Int ernal",
- "▁ru in",
- ". Qt",
- ".Q t",
- "ocr atic",
- "T el",
- "Te l",
- "▁ Answers",
- "▁An swers",
- "▁Answer s",
- "▁Ans wers",
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- "mat ic",
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- "▁x p",
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- "_a ny",
- "_an y",
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- "▁mane u",
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- "(i o",
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- "▁Cit ies",
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- "▁c antidad",
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- "▁Ne braska",
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- "▁ski rt",
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- "▁g rief",
- "▁gr ief",
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- "olan g",
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- ".j dbc",
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- "▁JText Field",
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- "▁wear s",
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- "▁super visor",
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- ".Request Mapping",
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- "PA GE",
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- "cre ation",
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- "ud ed",
- "ude d",
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- "number s",
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- "▁G TK",
- "▁GT K",
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- "esty le",
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- "te rror",
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- "▁counterpart s",
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- "▁selection s",
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- "t om",
- "to m",
- "- two",
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- ".; \n",
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- "▁Ai d",
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- "▁Vu l",
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- "▁pri zes",
- "▁prize s",
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- "▁edit able",
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- "De mo",
- "Dem o",
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- "▁Ja hr",
- "▁Jah r",
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- "part ial",
- "▁ Receive",
- "▁Re ceive",
- "▁Rece ive",
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- "▁Land s",
- "▁Lan ds",
- "AP TER",
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- "▁cho pped",
- "▁chop ped",
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- "▁Anal y",
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- "▁U ID",
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- "▁B ee",
- "▁Be e",
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- "> M",
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- "Token izer",
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- "▁WH AT",
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- "▁s j",
- "D rawing",
- "Draw ing",
- "E ss",
- "Es s",
- "O ND",
- "ON D",
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- "▁Nu clear",
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- "▁grand es",
- "▁gran des",
- "▁grande s",
- "▁ Crypt",
- "▁C rypt",
- "▁Cry pt",
- "r emark",
- "re mark",
- "rem ark",
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- "▁'../../ ../../",
- "▁'../../../ ../",
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- "m agic",
- "mag ic",
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- "ca ts",
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- ": ${",
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- ":N O",
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- "iple s",
- "ipl es",
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- "▁Ra ted",
- "▁Rate d",
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- "▁gl ue",
- "/ blog",
- "/b log",
- "▁g ren",
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- "▁gre n",
- "▁thr illed",
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- ". CH",
- ".C H",
- "un can",
- "unc an",
- "▁PR IMARY",
- "▁PRI MARY",
- "▁per sec",
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- "▁fear ed",
- ". MIN",
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- "ateg orie",
- "ategor ie",
- "ategori e",
- "▁appet ite",
- "s quare",
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- "▁Alexa nd",
- ". UserId",
- ".User Id",
- "_ gt",
- "_g t",
- "_ enter",
- "_en ter",
- "_ent er",
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- "-N LS",
- "( My",
- "(M y",
- "▁tri umph",
- "us ting",
- "ust ing",
- "ustin g",
- "_PARAM S",
- "_PAR AMS",
- "Char acters",
- "Character s",
- "(: ,:,",
- "(:, :,",
- "_ BUILD",
- "_B UILD",
- "M Hz",
- "MH z",
- "▁w ashed",
- "▁was hed",
- "▁wash ed",
- "▁un cle",
- "▁unc le",
- "Ste ve",
- "ar down",
- "ard own",
- "ardo wn",
- "< stdio",
- " ${",
- ">$ {",
- "_ confirmation",
- "_confirm ation",
- "▁t rophy",
- "▁tro phy",
- "▁trop hy",
- "Work s",
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- "▁Mediterr anean",
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- "_m etrics",
- "_metric s",
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- "▁announc ing",
- "▁ DAY",
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- "▁DA Y",
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- "_pro to",
- "_pr oto",
- "_prot o",
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- "▁p ear",
- "▁pe ar",
- "base Url",
- "\t \t\t\t\t\t\t\t\n",
- "\t\t \t\t\t\t\t\t\n",
- "\t\t\t\t \t\t\t\t\n",
- "\t\t\t \t\t\t\t\t\n",
- "\t\t\t\t\t \t\t\t\n",
- "\t\t\t\t\t\t \t\t\n",
- "\t\t\t\t\t\t\t\t \n",
- "\t\t\t\t\t\t\t \t\n",
- "▁coord ination",
- "▁coordin ation",
- ": N",
- ". animate",
- ".an imate",
- ".anim ate",
- "▁C otton",
- "_ hit",
- "_h it",
- "_hi t",
- "▁j etzt",
- "▁jet zt",
- "i fter",
- "if ter",
- "ift er",
- "( fields",
- "(f ields",
- "(field s",
- "own load",
- "ific acion",
- "ifica cion",
- ". cuda",
- ".c uda",
- "▁L iu",
- "▁Li u",
- "> equals",
- "▁A ce",
- "▁Ac e",
- "▁Sup erman",
- "▁Super man",
- "▁Gar cia",
- "▁Garc ia",
- "▁arr ests",
- "▁arrest s",
- "a gar",
- "ag ar",
- "aga r",
- "▁ {})",
- "▁{ })",
- "▁{} )",
- "▁mac ros",
- "▁macro s",
- "rou pe",
- "roup e",
- "▁tw isted",
- "▁twist ed",
- "str uments",
- "strument s",
- "_ (\"",
- "_( \"",
- "_ vertices",
- "_vert ices",
- "▁ Transition",
- "▁Trans ition",
- "▁Transit ion",
- "[ max",
- "[m ax",
- "m ind",
- "min d",
- "mi nd",
- "▁ accessToken",
- "▁access Token",
- "▁un le",
- "m us",
- "mu s",
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- "co p",
- "▁ Factor",
- "▁F actor",
- "▁Fac tor",
- "▁Fa ctor",
- "▁Fact or",
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- "▁conce d",
- "▁re tr",
- "▁r etr",
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- "- slider",
- "-s lider",
- "-slide r",
- "-sl ider",
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- "ob l",
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- "▁z ombie",
- "s elling",
- "sel ling",
- "sell ing",
- "▁c hap",
- "▁ch ap",
- "▁cha p",
- "▁sh aking",
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- "▁Am sterdam",
- "▁ ETH",
- "▁E TH",
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- "_EXT ERN",
- "k d",
- "_ disc",
- "_d isc",
- "_dis c",
- "_di sc",
- "▁prec eding",
- "▁preced ing",
- "▁p rix",
- "▁pr ix",
- "▁pri x",
- "Object Name",
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- "_mod ified",
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- "▁?>\" >",
- "▁ DW",
- "▁D W",
- "` ${",
- "▁?> \">",
- "▁?>\" >",
- "▁?>\"> ",
- "▁?>\">< ?",
- "uy en",
- "uye n",
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- "▁don na",
- "▁donn a",
- "▁x si",
- "▁xs i",
- "▁$ \"{",
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- "▁ Drawing",
- "▁D rawing",
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- ",n il",
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- "O bserv",
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- "▁consider ations",
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- "( version",
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- "ol an",
- "ola n",
- "L ESS",
- "LE SS",
- "LES S",
- "assert Same",
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- "\te num",
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- "antage s",
- ". today",
- ".t oday",
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- "Th ursday",
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- "▁Bri g",
- "{ })\n",
- "{} )\n",
- "{}) \n",
- "▁ Imagine",
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- "( GPIO",
- "(G PIO",
- "▁ esto",
- "▁e sto",
- "▁es to",
- "▁est o",
- "▁ Province",
- "▁Pro vince",
- "▁Prov ince",
- "▁M ental",
- "▁Men tal",
- "▁Ment al",
- "_ cells",
- "_c ells",
- "_cell s",
- "▁Jul ian",
- "▁Julia n",
- ". Screen",
- ".S creen",
- ".Sc reen",
- "▁c andle",
- "▁cand le",
- "▁m onde",
- "▁mon de",
- "▁mo nde",
- "▁v erg",
- "▁ver g",
- "▁ve rg",
- "it erals",
- "iter als",
- "iteral s",
- "- layout",
- "-l ayout",
- "G uest",
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- "h ap",
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- "▁none theless",
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- "▁at he",
- "▁ath e",
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- "▁Bo rn",
- "▁Bor n",
- "\\ ORM",
- "a nut",
- "an ut",
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- "▁petit e",
- "- art",
- "-a rt",
- "-ar t",
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- "_S HOW",
- "_SH OW",
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- "amin s",
- "ami ns",
- "▁Def ines",
- "▁Define s",
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- "▁B ike",
- "▁Bi ke",
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- "▁catch es",
- "▁cat ches",
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- "vo tes",
- "vote s",
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- "_f ixed",
- "_fix ed",
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- "▁Arch itecture",
- "▁Architect ure",
- "( pid",
- "(p id",
- "(pi d",
- "W ire",
- "Wir e",
- "Wi re",
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- "(con t",
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- "la ne",
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- "List s",
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- "CLU S",
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- "▁lock ing",
- "[ size",
- "[s ize",
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- "▁w b",
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- "▁spin ning",
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- "_pen ding",
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- "Matcher s",
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- "▁P V",
- "en us",
- "enu s",
- "ant is",
- "anti s",
- "▁d iscard",
- "▁dis card",
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- "▁h aul",
- "▁ha ul",
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- "-ind uced",
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- "d z",
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- "_inc lude",
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- "P Y",
- "uggest ions",
- "uggestion s",
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- "▁commod ity",
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- "cr o",
- "/ sub",
- "/s ub",
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- "▁get Instance",
- "▁Leg acy",
- "▁K il",
- "▁Ki l",
- "B al",
- "Ba l",
- "( short",
- "(s hort",
- "(sh ort",
- "In form",
- "Info rm",
- "Inf orm",
- "+ x",
- "* r",
- "▁Hope fully",
- "o rate",
- "or ate",
- "ora te",
- "▁m achen",
- "▁ma chen",
- "▁mach en",
- "▁mac hen",
- "▁treat y",
- "▁tre aty",
- "▁O ri",
- "▁Or i",
- ". public",
- ".p ublic",
- ".pub lic",
- "- horizontal",
- "-h orizontal",
- "▁t actic",
- "▁ta ctic",
- "▁tact ic",
- "▁tac tic",
- "▁b ord",
- "▁bo rd",
- "▁bor d",
- "w ares",
- "ware s",
- "wa res",
- "war es",
- "▁am mo",
- "▁ Lists",
- "▁L ists",
- "▁List s",
- "▁Li sts",
- "▁Lis ts",
- "▁equ ations",
- "▁eq uations",
- "▁equation s",
- "/ her",
- "/h er",
- "▁N SW",
- "▁NS W",
- "B ounding",
- "Bo unding",
- "Bound ing",
- "_ Collections",
- "_C ollections",
- "▁av ail",
- ". DropDown",
- ".Drop Down",
- "▁ hh",
- "▁h h",
- ". pb",
- ".p b",
- "▁mem orial",
- "▁memor ial",
- "▁memo rial",
- "▁ ATTR",
- "▁AT TR",
- "▁ATT R",
- "▁exhaust ed",
- "▁t sp",
- "▁ts p",
- "\t redirect",
- "\tre direct",
- "▁like wise",
- "▁lik ewise",
- "S TER",
- "ST ER",
- "STE R",
- "L java",
- "▁condem ned",
- "▁condemn ed",
- "oca ust",
- "( strict",
- "(str ict",
- "▁ex empt",
- "▁exem pt",
- "▁ sms",
- "▁s ms",
- "▁sm s",
- "▁ex agger",
- "S YS",
- "SY S",
- "▁l ounge",
- "▁lo unge",
- ": ^",
- "▁t odd",
- "▁to dd",
- "▁tod d",
- "d eb",
- "de b",
- "at orial",
- "ator ial",
- "ato rial",
- "atori al",
- "▁Port er",
- "▁Por ter",
- "▁t uition",
- "▁tu ition",
- "▁ex empl",
- "▁exem pl",
- "▁exe mpl",
- "▁ paren",
- "▁p aren",
- "▁par en",
- "▁pa ren",
- "▁pare n",
- ".line To",
- "▁kid ney",
- "▁ki dney",
- "▁kidn ey",
- "▁c ui",
- "▁cu i",
- "X C",
- "▁n ominated",
- "▁no minated",
- "▁nom inated",
- "▁nomin ated",
- "l ung",
- "lu ng",
- "Im Gui",
- "▁ Buzz",
- "▁B uzz",
- "▁Bu zz",
- "▁ste reo",
- "▁ster eo",
- "▁stere o",
- "p ortal",
- "port al",
- "por tal",
- "res as",
- "resa s",
- "▁ klass",
- "▁k lass",
- "▁kl ass",
- "▁d rafted",
- "▁draft ed",
- "▁project ile",
- "/g pl",
- "( parameters",
- "(param eters",
- "(parameter s",
- "* )\n",
- "*) \n",
- "▁ass isted",
- "▁assist ed",
- "▁ NSInteger",
- "▁NS Integer",
- "s itemap",
- "site map",
- "sit emap",
- ": nth",
- ":n th",
- ". Views",
- ".View s",
- ".Argument Parser",
- "▁m eer",
- "▁me er",
- "z ier",
- "zi er",
- "zie r",
- "▁ Dig",
- "▁D ig",
- "▁Di g",
- " =$",
- "= $",
- "_ permission",
- "_per mission",
- "_perm ission",
- "\t Add",
- "\tA dd",
- "olog ia",
- "olo gia",
- "▁ sci",
- "▁s ci",
- "▁sc i",
- "▁financial ly",
- "▁financ ially",
- "▁sc rolling",
- "▁scroll ing",
- ". dist",
- ".d ist",
- ".dis t",
- ".di st",
- "_H AS",
- "ub untu",
- ". pages",
- ".p ages",
- ".page s",
- ".pa ges",
- "In cre",
- "Inc re",
- "b urse",
- "bur se",
- "▁Am ateur",
- "B lob",
- "Bl ob",
- "▁ch olesterol",
- "D ES",
- "DE S",
- "min imum",
- "▁ref using",
- "un ned",
- "unn ed",
- "▁ RD",
- "▁R D",
- ". Servlet",
- ".S ervlet",
- "▁*/ ;\n",
- "u dden",
- "ud den",
- "udd en",
- "▁view Box",
- "▁metabol ism",
- "▁ste aling",
- "▁steal ing",
- "▁B ever",
- "▁Be ver",
- "agn etic",
- "agne tic",
- "VERR IDE",
- "_A UDIO",
- "▁arch ives",
- "▁archive s",
- ". linear",
- ".line ar",
- ".li near",
- "={ <",
- "unc ated",
- "uncate d",
- "Access Exception",
- "▁ pictureBox",
- "▁p ictureBox",
- "▁picture Box",
- "\t select",
- "\ts elect",
- "L atitude",
- "Lat itude",
- "v isor",
- "vis or",
- "re ib",
- "rei b",
- "▁p ak",
- "▁pa k",
- "H ope",
- "Ho pe",
- "▁ Iterable",
- "▁It erable",
- "▁Iter able",
- ".response Text",
- "▁ Quad",
- "▁Qu ad",
- "▁Br ooks",
- "▁Bro oks",
- "▁Brook s",
- "▁T ot",
- "▁To t",
- "O PT",
- "OP T",
- "e long",
- "el ong",
- "elo ng",
- "▁coc aine",
- "▁ ano",
- "▁a no",
- "▁an o",
- "D an",
- "Da n",
- "▁ psi",
- "▁p si",
- "▁ps i",
- ".get Child",
- "▁ REF",
- "▁R EF",
- "▁RE F",
- "- ab",
- "-a b",
- "▁ Triangle",
- "▁Tri angle",
- "< Text",
- "\n",
- ")} >\n",
- "▁p lag",
- "▁pl ag",
- "▁pla g",
- "p ine",
- "pi ne",
- "pin e",
- "▁blank et",
- "▁ :",
- "▁: ",
- "▁ Translation",
- "▁Trans lation",
- "n ov",
- "no v",
- "▁per fection",
- "▁perfect ion",
- "▁perf ection",
- "▁Conf eder",
- ". stub",
- ".st ub",
- ".Interop Services",
- ". Store",
- ".St ore",
- "▁en rollment",
- "▁enroll ment",
- "▁d eer",
- "▁de er",
- "▁dee r",
- "M ovement",
- "Move ment",
- "Mo vement",
- "- from",
- "-f rom",
- "-fr om",
- "h c",
- "▁ev angel",
- "▁Ill ustr",
- "▁tr ump",
- "_ Start",
- "pl anes",
- "plan es",
- "plane s",
- "pla nes",
- "▁B il",
- "▁Bi l",
- "In fos",
- "Info s",
- "Inf os",
- "- trans",
- "-t rans",
- "-tr ans",
- "▁r anch",
- "▁ran ch",
- "▁L inda",
- "▁Lin da",
- "▁Li nda",
- "▁Lind a",
- "_ mar",
- "_m ar",
- "R ET",
- "RE T",
- "/ net",
- "/n et",
- "L aw",
- "La w",
- "N F",
- "▁Pr event",
- "▁Pre vent",
- "▁Prev ent",
- "▁c ried",
- "▁cr ied",
- "▁cri ed",
- "▁educ ate",
- "▁edu cate",
- "as tics",
- "ast ics",
- "astic s",
- "y i",
- ". LinearLayout",
- ".Line arLayout",
- ".Linear Layout",
- "M ETHOD",
- "▁E g",
- "m apper",
- "ma pper",
- "map per",
- ".as array",
- "Re use",
- "_ rev",
- "_re v",
- "_r ev",
- "▁ PRODUCT",
- "▁PRO DUCT",
- "_ Code",
- "_C ode",
- "▁ ▁▁▁▁\r\n",
- "▁▁ ▁▁▁\r\n",
- "▁▁▁▁ ▁\r\n",
- "▁▁▁ ▁▁\r\n",
- "▁▁▁▁▁ \r\n",
- "▁SER VICE",
- "_ cover",
- "_c over",
- "_co ver",
- "_cov er",
- ". ,\n",
- "., \n",
- ".Execute Reader",
- "▁D ining",
- "▁Di ning",
- "▁Din ing",
- ". arch",
- ".a rch",
- ".ar ch",
- ".arc h",
- "▁o tro",
- "▁ot ro",
- "▁Dis covery",
- "▁Discover y",
- "▁Key Error",
- "▁Benef its",
- "_ SHA",
- "_S HA",
- "_SH A",
- ".Un marshal",
- "HE ADER",
- "HEAD ER",
- "M utex",
- "Mu tex",
- "Mut ex",
- "A MA",
- "AM A",
- "▁init iate",
- "▁initi ate",
- "St ay",
- "L ittle",
- "▁ (),",
- "▁( ),",
- "▁() ,",
- "▁de central",
- "▁dec entral",
- "▁decent ral",
- "Re solution",
- "Res olution",
- ". health",
- ".he alth",
- "\tf close",
- "▁stake holders",
- "▁arch ae",
- "D igital",
- "Digit al",
- "Dig ital",
- "le scope",
- "les cope",
- "_ pen",
- "_p en",
- "_pe n",
- "▁Item Stack",
- "▁C anon",
- "▁Can on",
- "▁Ca non",
- "▁K end",
- "▁Ke nd",
- "▁Ken d",
- "_ ajax",
- "_a jax",
- "ing redients",
- "ingredient s",
- "Del ivery",
- "S ections",
- "Se ctions",
- "Section s",
- "▁disappoint ing",
- "▁G ren",
- "▁Gr en",
- "▁Gre n",
- ", re",
- ",r e",
- "▁de crypt",
- "▁dec rypt",
- "o logic",
- "olog ic",
- "_ fmt",
- "_f mt",
- "▁ Slider",
- "▁S lider",
- "▁Sl ider",
- "▁Slide r",
- "n ah",
- "na h",
- "W ashington",
- "z ung",
- "zu ng",
- "y cz",
- "yc z",
- "ie ves",
- "ieve s",
- "iev es",
- ". DEBUG",
- ".DE BUG",
- "▁ TI",
- "▁T I",
- "▁h acking",
- "▁hack ing",
- "▁hac king",
- "▁c entr",
- "▁cent r",
- "fl ows",
- "flow s",
- "▁did ReceiveMemoryWarning",
- "▁account ability",
- "C OUNT",
- "b lo",
- "bl o",
- "/ id",
- "/i d",
- "▁ Slow",
- "▁S low",
- "▁Sl ow",
- "▁Slo w",
- "izz ard",
- "izza rd",
- ".remove EventListener",
- "/ I",
- "is ma",
- "ism a",
- "▁H udson",
- "} },",
- "}} ,",
- "u med",
- "um ed",
- "ume d",
- "▁real ise",
- "un safe",
- "uns afe",
- "▁z us",
- "▁zu s",
- "▁short age",
- "o lia",
- "ol ia",
- "oli a",
- "_ priority",
- "_p riority",
- "_prior ity",
- "▁flo oding",
- "▁flood ing",
- "oper ations",
- "operation s",
- "P oly",
- "Pol y",
- "Po ly",
- "a ban",
- "ab an",
- "aba n",
- "[ cur",
- "[c ur",
- "▁esk orte",
- "▁eskort e",
- "_ DESCRIPTION",
- "_DE SCRIPTION",
- "_DESC RIPTION",
- "_ nat",
- "_n at",
- "_na t",
- "▁mal icious",
- "▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁",
- "▁P arks",
- "▁Par ks",
- "▁Park s",
- "▁taxp ayer",
- "▁F oster",
- "▁Fo ster",
- "▁sex uality",
- "▁sexual ity",
- "\\ \r\n",
- ". seek",
- ".se ek",
- "/ article",
- "/art icle",
- "▁U hr",
- "▁grand mother",
- "▁B le",
- "▁Bl e",
- "f urt",
- "fu rt",
- "amb ah",
- "amba h",
- "not ifications",
- "notification s",
- "de precated",
- "dep recated",
- "▁ uintptr",
- "▁uint ptr",
- "o ki",
- "ok i",
- "( Array",
- "(A rray",
- "▁aut onomous",
- "▁o br",
- "▁ob r",
- "▁ basename",
- "▁b asename",
- "▁base name",
- "▁bas ename",
- "▁unve iled",
- "s ol",
- "so l",
- "▁NotImplemented Error",
- "▁de press",
- "▁dep ress",
- "▁depr ess",
- "_ '.$",
- "_' .$",
- "▁ UNIT",
- "▁UN IT",
- "% ',",
- "%' ,",
- "- tag",
- "-t ag",
- "g rep",
- "gr ep",
- "gre p",
- "▁M aintenance",
- "▁Maint enance",
- "▁war fare",
- "_ RESOURCE",
- "_RE SOURCE",
- "_RES OURCE",
- "( spec",
- "(s pec",
- "(sp ec",
- "( cv",
- "(c v",
- "▁n ada",
- "▁na da",
- "▁nad a",
- "▁crow ded",
- "▁crowd ed",
- "B elow",
- "Be low",
- "Bel ow",
- "▁Z ach",
- "Est ado",
- "Esta do",
- "_ prime",
- "_pr ime",
- "▁trab ajo",
- "▁trabaj o",
- "▁inform ative",
- "▁informat ive",
- "S cott",
- "Sc ott",
- "▁serial izers",
- "▁serializer s",
- "▁serialize rs",
- "▁N as",
- "▁Na s",
- "Th unk",
- "Thu nk",
- "▁mer cy",
- "▁merc y",
- ", ...\n\n",
- ",. ..\n\n",
- ",... \n\n",
- ",...\n \n",
- "▁add ict",
- "▁ad dict",
- ". constants",
- ".con stants",
- ".constant s",
- ".const ants",
- "▁data frame",
- "_ reason",
- "_re ason",
- "gom ery",
- "▁neg lect",
- "▁ Lines",
- "▁L ines",
- "▁Line s",
- "▁Lin es",
- "▁Li nes",
- "▁m emb",
- "▁me mb",
- "▁mem b",
- "_ EXEC",
- "_EX EC",
- "ass age",
- "assa ge",
- "▁Y ard",
- "▁Ya rd",
- "{ }'.",
- "{} '.",
- "▁lot tery",
- "te in",
- "_ calc",
- "_c alc",
- "_cal c",
- "_ca lc",
- "i ku",
- "ik u",
- "_RE CORD",
- "W arn",
- "War n",
- "▁health ier",
- "u rement",
- "ur ement",
- "ure ment",
- "▁y arn",
- "▁ya rn",
- "▁ Corner",
- "▁Cor ner",
- "▁Corn er",
- "( zip",
- "(z ip",
- "( init",
- "(i nit",
- "(in it",
- "▁L it",
- "▁Li t",
- "H W",
- "sub set",
- "▁ MF",
- "▁M F",
- "ET ERS",
- "ETER S",
- "_ rot",
- "_r ot",
- "_ro t",
- "▁ ere",
- "▁e re",
- "▁er e",
- "▁ Override",
- "▁Over ride",
- "W allet",
- "Wall et",
- "_ reward",
- "_re ward",
- "_r eward",
- "▁s age",
- "▁sa ge",
- "▁sag e",
- "set Visible",
- "▁Json Response",
- "I CY",
- "IC Y",
- "Var Char",
- "a at",
- "aa t",
- "- green",
- "-g reen",
- "-gr een",
- "▁ irq",
- "▁i rq",
- "▁ir q",
- "an ity",
- "ani ty",
- "▁who ever",
- "_ share",
- "_sh are",
- "_sha re",
- "▁f out",
- "▁fo ut",
- "▁fou t",
- "rol ls",
- "roll s",
- "▁willing ness",
- ".component Instance",
- "▁hon ored",
- "▁honor ed",
- "ur vey",
- "B er",
- "Be r",
- "▁run ners",
- "▁runner s",
- "▁l ieu",
- "▁li eu",
- "▁lie u",
- "or por",
- "orp or",
- "_ structure",
- "_struct ure",
- "Bar ButtonItem",
- "a dx",
- "ad x",
- "▁Benn ett",
- "▁di lig",
- "▁dil ig",
- "▁fl uct",
- "▁flu ct",
- "IDD EN",
- "_ Selected",
- "_Se lected",
- "_Select ed",
- "( div",
- "(d iv",
- "(di v",
- "▁qu icker",
- "▁quick er",
- "▁qui cker",
- "a long",
- "al ong",
- "alo ng",
- "alon g",
- "graph ql",
- "i nez",
- "in ez",
- "ine z",
- "▁c ite",
- "▁cit e",
- "▁ci te",
- "▁ Instructions",
- "▁In structions",
- "▁Instruction s",
- "▁insert ing",
- "▁inser ting",
- ".cloud flare",
- "c oupon",
- "co upon",
- "cou pon",
- "ed List",
- "▁St ores",
- "▁Store s",
- "_ malloc",
- "_m alloc",
- "▁ Awesome",
- "▁Aw esome",
- "▁l amb",
- "▁la mb",
- "▁lam b",
- "R EST",
- "RE ST",
- "RES T",
- "▁in test",
- "▁int est",
- "▁inte st",
- "▁ Navbar",
- "▁Nav bar",
- ". features",
- ".f eatures",
- ".feature s",
- ".fe atures",
- "In crement",
- "Incre ment",
- "Inc rement",
- "▁P om",
- "▁Po m",
- "▁ins ufficient",
- "_ LOGIN",
- "_LO GIN",
- "_LOG IN",
- "P LEMENT",
- "PL EMENT",
- "PLE MENT",
- "▁ OAuth",
- "▁O Auth",
- ". INFO",
- ".IN FO",
- "▁ex otic",
- "▁ CASE",
- "▁C ASE",
- "▁CA SE",
- "▁CAS E",
- "\t ▁▁\n",
- "\t▁ ▁\n",
- "\t▁▁ \n",
- "▁G and",
- "▁Ga nd",
- "▁Gan d",
- "the ses",
- "thes es",
- "these s",
- "▁n ovo",
- "▁no vo",
- "▁nov o",
- "▁D ell",
- "▁De ll",
- "▁Del l",
- "_ soft",
- "_s oft",
- "_so ft",
- "▁agre eing",
- "▁agree ing",
- "c ents",
- "cent s",
- "cen ts",
- "lo an",
- "' \",\n",
- "'\" ,\n",
- "'\", \n",
- "▁R an",
- "▁Ra n",
- "D EL",
- "DE L",
- "▁organ ised",
- "▁organis ed",
- "+ n",
- "▁Health care",
- "▁de terior",
- "▁det erior",
- "▁deter ior",
- "▁implement ations",
- "▁implementation s",
- "▁c arn",
- "▁car n",
- "▁ca rn",
- "▁ ,'",
- "▁, '",
- "▁ LOAD",
- "▁L OAD",
- "▁LO AD",
- "▁pl anted",
- "▁plan ted",
- "▁plant ed",
- "Form Control",
- "_ matches",
- "_m atches",
- "_match es",
- "_mat ches",
- "▁period ic",
- "▁peri odic",
- "_ To",
- "_T o",
- "▁Jo el",
- "▁Joe l",
- "▁an kle",
- "▁milit ants",
- "▁militant s",
- "▁W itch",
- "un iform",
- "uni form",
- "u enta",
- "uen ta",
- "uent a",
- "Of Week",
- "▁perpet r",
- "▁inter ventions",
- "▁intervention s",
- "( writer",
- "(w riter",
- "(write r",
- "ant ine",
- "anti ne",
- "Progress Bar",
- "▁le agues",
- "▁league s",
- "com press",
- "comp ress",
- "i zione",
- "iz ione",
- "izi one",
- "izio ne",
- "▁ EA",
- "▁E A",
- "\" ]=\"",
- "\"] =\"",
- "\"]= \"",
- "▁Ste phan",
- "▁Step han",
- "▁Steph an",
- "min us",
- "s stream",
- "sst ream",
- "_ led",
- "_l ed",
- "_le d",
- "▁================================================================= ========",
- "\" When",
- "\"W hen",
- "Al ready",
- "▁cont empl",
- "▁conte mpl",
- "▁a tau",
- "▁at au",
- "▁Congress ional",
- "▁rap port",
- "▁rapp ort",
- "▁B our",
- "▁Bo ur",
- "▁Bou r",
- "i shi",
- "is hi",
- "ish i",
- "▁t ym",
- "▁ty m",
- "▁Ar men",
- "▁Arm en",
- "- format",
- "-form at",
- "-for mat",
- "_ Read",
- "_R ead",
- "_Re ad",
- "( columns",
- "(column s",
- "▁ne ue",
- "▁neu e",
- "_ boxes",
- "_box es",
- "▁S andy",
- "▁San dy",
- "▁Sand y",
- "_ ,\n",
- "_, \n",
- "▁W izard",
- "▁ orden",
- "▁or den",
- "▁ord en",
- "▁ filesystem",
- "▁file system",
- "▁files ystem",
- "f light",
- "fl ight",
- "▁w sz",
- "▁ws z",
- "an celed",
- "ance led",
- "anc eled",
- "ancel ed",
- "▁d awn",
- "▁da wn",
- "▁G son",
- "_ warning",
- "_w arning",
- "_warn ing",
- "▁I celand",
- "▁Ice land",
- "▁sl ut",
- "▁set Is",
- "_ ident",
- "_id ent",
- "_i dent",
- "▁off shore",
- "▁Sk etch",
- "; %",
- "▁tri bes",
- "▁trib es",
- "▁tribe s",
- "_ SPACE",
- "_S PACE",
- "_SP ACE",
- "▁ otros",
- "▁ot ros",
- "▁otro s",
- "Com piler",
- "Comp iler",
- "Compile r",
- "\t End",
- "\tE nd",
- "▁ ]),\n",
- "▁] ),\n",
- "▁]) ,\n",
- "Gr avity",
- "▁t ensions",
- "▁tens ions",
- "▁tension s",
- "▁smooth ly",
- "K now",
- "Kn ow",
- "oo thing",
- "ooth ing",
- "▁ Startup",
- "▁Start up",
- "▁H yp",
- "▁Hy p",
- "▁am azon",
- "▁ Received",
- "▁Re ceived",
- "▁Receive d",
- "▁Rece ived",
- "z enie",
- "ze nie",
- "zen ie",
- "▁Ch ocolate",
- "\" No",
- "▁ ALS",
- "▁A LS",
- "▁AL S",
- "▁ Programming",
- "▁Program ming",
- "▁D ogs",
- "▁Do gs",
- "▁Dog s",
- "▁good ness",
- "( errno",
- "(err no",
- "/ es",
- "/e s",
- "▁remote ly",
- "▁remot ely",
- "▁H ooks",
- "▁Ho oks",
- "▁Hook s",
- "U uid",
- "▁over ly",
- "▁overl y",
- "▁ gpu",
- "▁g pu",
- "▁gp u",
- "▁stim ulus",
- "( step",
- "(st ep",
- ". You",
- ".Y ou",
- "▁b iom",
- "▁bi om",
- "▁bio m",
- "I NC",
- "IN C",
- ". bits",
- ".b its",
- ".bit s",
- ".bi ts",
- "(m Context",
- "▁a merican",
- "▁amer ican",
- "▁terr itories",
- "▁territor ies",
- "▁ ND",
- "▁N D",
- "] \"\n",
- "]\" \n",
- "▁ Mapping",
- "▁M apping",
- "▁Map ping",
- "▁Ma pping",
- "▁proceed ing",
- ". ax",
- ".a x",
- "▁ substring",
- "▁sub string",
- "▁subs tring",
- "▁substr ing",
- "▁subst ring",
- "B UTTON",
- "▁I g",
- "- pane",
- "-p ane",
- "▁A ns",
- "▁An s",
- "▁grad uation",
- "▁gradu ation",
- "▁pers pectives",
- "▁perspective s",
- "M ixin",
- "Mi xin",
- "Mix in",
- "_ minus",
- "_min us",
- "\t \t\t\t▁▁▁▁",
- "\t\t \t\t▁▁▁▁",
- "\t\t\t\t ▁▁▁▁",
- "\t\t\t \t▁▁▁▁",
- "\t\t\t\t▁ ▁▁▁",
- "\t\t\t\t▁▁▁ ▁",
- "\t\t\t\t▁▁ ▁▁",
- "\" )))",
- "\") ))",
- "\")) )",
- "normal ized",
- "normalize d",
- ". lastName",
- ".last Name",
- "▁c lan",
- "▁cl an",
- "As ia",
- "( Mouse",
- "(M ouse",
- "pag inate",
- "▁ gif",
- "▁g if",
- "▁gi f",
- "e lig",
- "el ig",
- "eli g",
- "▁pos ters",
- "▁post ers",
- "▁po sters",
- "▁poster s",
- "n ings",
- "ning s",
- "▁a post",
- "▁ap ost",
- "▁Ih re",
- "▁Ihr e",
- "Dll Import",
- "▁ Equal",
- "▁E qual",
- "▁Equ al",
- "▁Eq ual",
- "▁distingu ished",
- "▁distinguish ed",
- "ne apolis",
- "▁back drop",
- "▁Altern atively",
- "▁Alternative ly",
- "/ mod",
- "/m od",
- "▁l end",
- "▁le nd",
- "▁len d",
- "▁ SHOW",
- "▁S HOW",
- "▁SH OW",
- "_ codes",
- "_c odes",
- "_code s",
- "_co des",
- "_cod es",
- "▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁",
- "- case",
- "-c ase",
- "-ca se",
- "c hte",
- "ch te",
- "cht e",
- "▁do nc",
- "▁don c",
- ": add",
- ":a dd",
- "N egative",
- "Neg ative",
- "f avorite",
- "▁attr actions",
- "▁attract ions",
- "▁attraction s",
- "int Color",
- "▁P ir",
- "▁Pi r",
- "Con nell",
- "Conn ell",
- "Man ifest",
- "te ams",
- "team s",
- "▁ };\n\n\n",
- "▁} ;\n\n\n",
- "▁};\n \n\n",
- "▁};\n\n \n",
- "▁}; \n\n\n",
- "▁pl ural",
- "▁plur al",
- "▁over time",
- "▁overt ime",
- "▁Euro pa",
- "▁Eu ropa",
- "▁Bang ladesh",
- "( an",
- "(a n",
- "▁l ingu",
- "▁lin gu",
- "▁ling u",
- "i time",
- "it ime",
- "iti me",
- "in ston",
- "ins ton",
- "inst on",
- ". shadow",
- ".sh adow",
- "▁U SS",
- "▁US S",
- "Server Error",
- "IV ERS",
- "IVE RS",
- "IVER S",
- "▁J in",
- "▁Ji n",
- "▁h umble",
- "▁hum ble",
- "aut oload",
- "auto load",
- "a rez",
- "ar ez",
- "are z",
- "▁A str",
- "▁As tr",
- "▁Ast r",
- "ico lon",
- "icol on",
- ".View Models",
- ".ViewModel s",
- "o bo",
- "ob o",
- "▁sw ipe",
- "▁re cession",
- "▁rec ession",
- "▁recess ion",
- "n erg",
- "ne rg",
- "ner g",
- "ing redient",
- "mail to",
- "▁F ame",
- "▁Fa me",
- "▁Fam e",
- "Print ing",
- "P ixels",
- "Pixel s",
- "▁B ash",
- "▁Ba sh",
- "▁Bas h",
- "p osta",
- "pos ta",
- "post a",
- "po sta",
- "_ JO",
- "_J O",
- "▁inf amous",
- "▁L anc",
- "▁La nc",
- "▁Lan c",
- "( localStorage",
- "(local Storage",
- ".b lit",
- ".bl it",
- "▁young est",
- "▁ fieldName",
- "▁field Name",
- "▁con ting",
- "▁cont ing",
- "▁contin g",
- "▁w ool",
- "▁wo ol",
- "▁ ImGui",
- "▁Im Gui",
- "▁ NST",
- "▁N ST",
- "▁NS T",
- ". prefix",
- ".p refix",
- ".pre fix",
- "To Int",
- "▁S ox",
- "▁So x",
- "▁hab itat",
- "▁habit at",
- "(\" |",
- "=' \"+",
- "='\" +",
- "ING TON",
- "_ wrap",
- "_w rap",
- "_wr ap",
- "uck ets",
- "ucket s",
- "▁ WRITE",
- "▁W RITE",
- "▁WR ITE",
- "▁medic ines",
- "▁medicine s",
- "▁membr ane",
- "▁J Text",
- "▁re production",
- "▁rep roduction",
- "▁reprodu ction",
- "▁repro duction",
- "_ receive",
- "_re ceive",
- "Table Row",
- "queueReusable Cell",
- "h ooks",
- "ho oks",
- "hook s",
- "▁re lying",
- "▁rel ying",
- "▁rely ing",
- "▁dr illing",
- "▁drill ing",
- "_ Il",
- "_I l",
- "( exception",
- "(ex ception",
- "▁dur ability",
- "▁hes itate",
- "▁com part",
- "▁comp art",
- "▁compar t",
- "IL ING",
- "▁El der",
- "▁Eld er",
- "▁c affe",
- "▁ca ffe",
- "▁caf fe",
- "▁develop s",
- "▁deve lops",
- "is her",
- "ish er",
- "▁ ply",
- "▁p ly",
- "▁pl y",
- "▁ tol",
- "▁t ol",
- "▁to l",
- "_ PLAY",
- "_PL AY",
- "▁fr iction",
- "▁fri ction",
- "( always",
- "(al ways",
- "▁ind igenous",
- "▁Oper a",
- "▁Op era",
- "▁C ampus",
- "▁Cam pus",
- "▁Camp us",
- "ance ments",
- "anc ements",
- "ancement s",
- "▁l itter",
- "▁lit ter",
- "▁litt er",
- ". limit",
- ".l imit",
- ".li mit",
- "( Token",
- "(T oken",
- "e nis",
- "en is",
- "eni s",
- "▁highlight ing",
- "▁A ub",
- "▁Au b",
- "▁ validators",
- "▁valid ators",
- "▁validator s",
- "- host",
- "-h ost",
- "w heel",
- "< {",
- ") )+",
- ")) +",
- "▁News letter",
- "_ average",
- "_a verage",
- "▁s odium",
- "▁sod ium",
- "▁H il",
- "▁Hi l",
- "▁M ile",
- "▁Mil e",
- "▁Mi le",
- "▁Auth Service",
- "Stat istics",
- "▁Nut rition",
- "▁s ponsors",
- "▁spons ors",
- "▁sponsor s",
- "ov enant",
- "ove nant",
- "oven ant",
- "= =============",
- "== ============",
- "==== ==========",
- "======== ======",
- "=== ===========",
- "============ ==",
- "============= =",
- "=========== ===",
- "========= =====",
- "========== ====",
- "====== ========",
- "===== =========",
- "======= =======",
- ". Absolute",
- ".A bsolute",
- ".Abs olute",
- "Hand ling",
- "▁ -------\n",
- "▁- ------\n",
- "▁-- -----\n",
- "▁---- ---\n",
- "▁--- ----\n",
- "▁----- --\n",
- "▁------ -\n",
- "▁------- \n",
- "( directory",
- "(d irectory",
- "\" ).\n",
- "\") .\n",
- "\"). \n",
- "an ol",
- "ano l",
- ". browser",
- ".b rowser",
- "▁Gr inding",
- "▁ ck",
- "▁c k",
- "F requency",
- "( )['",
- "() ['",
- "()[ '",
- "Ad just",
- "Adj ust",
- "c rew",
- "cre w",
- "cr ew",
- "af ety",
- "afe ty",
- "▁ gn",
- "▁g n",
- "▁ wives",
- "▁w ives",
- "▁wi ves",
- "o oo",
- "oo o",
- "▁prostit u",
- "▁prost itu",
- "i fty",
- "if ty",
- "ift y",
- "▁lit igation",
- "▁E z",
- "J eff",
- "Je ff",
- ". pk",
- ".p k",
- "▁Sh oes",
- "c orn",
- "co rn",
- "cor n",
- "yy vsp",
- "▁ad ap",
- "▁ada p",
- "= u",
- "CON F",
- "CO NF",
- "AND ARD",
- "▁elev ator",
- "b illing",
- "bill ing",
- "bil ling",
- "▁c and",
- "▁can d",
- "▁ca nd",
- "▁c arp",
- "▁car p",
- "▁ca rp",
- "[ field",
- "[f ield",
- "- lib",
- "-l ib",
- "sequ ently",
- "> -",
- "▁l cd",
- "▁lc d",
- "- --------------",
- "-- -------------",
- "---- -----------",
- "-------- -------",
- "--- ------------",
- "------------ ---",
- "----- ----------",
- "---------- -----",
- "------ ---------",
- "----------- ----",
- "------------- --",
- "------- --------",
- "--------- ------",
- "-------------- -",
- "( \"\"",
- "(\" \"",
- "▁t actical",
- "▁tact ical",
- "▁tactic al",
- "▁tac tical",
- "▁Ron ald",
- "ex tr",
- "ext r",
- "▁F est",
- "▁Fe st",
- "▁f uer",
- "▁fu er",
- "▁fue r",
- "- navigation",
- "-n avigation",
- "-nav igation",
- "▁ kb",
- "▁k b",
- "g host",
- "gh ost",
- "▁ handleChange",
- "▁handle Change",
- "_ cls",
- "_c ls",
- "_cl s",
- "( )!=",
- "() !=",
- "Com parator",
- "Compar ator",
- ". vm",
- ".v m",
- "▁C ox",
- "▁Co x",
- "_ review",
- "_re view",
- "_rev iew",
- "/ @",
- "_ cookie",
- "_c ookie",
- "_co okie",
- "▁recogn ised",
- "▁recognise d",
- "ld ap",
- "Th reads",
- "Thread s",
- "▁S exual",
- "▁Sex ual",
- "▁B earing",
- "▁Be aring",
- "▁Bear ing",
- "▁Bea ring",
- "( SQL",
- "(S QL",
- "▁ xr",
- "▁x r",
- "▁t high",
- "▁th igh",
- "▁thi gh",
- "URL Connection",
- "▁S UV",
- "▁SU V",
- "▁m Context",
- "▁inc idence",
- "▁ Este",
- "▁E ste",
- "▁Es te",
- "▁Est e",
- ". sup",
- ".s up",
- "_ te",
- "_t e",
- "( EXIT",
- "(EX IT",
- "C MD",
- "CM D",
- "/ \">",
- "/\" >",
- "Al most",
- "▁ Une",
- "▁U ne",
- "▁Un e",
- "▁and eren",
- "▁andere n",
- "▁ Singleton",
- "▁Sing leton",
- "▁Single ton",
- "▁b ore",
- "▁bo re",
- "▁bor e",
- "Th ink",
- "▁n arc",
- "▁na rc",
- "▁nar c",
- "] initWith",
- "]init With",
- "_ shop",
- "_s hop",
- "_sh op",
- "(str ategy",
- "! ',",
- "!' ,",
- "her its",
- "herit s",
- "▁De sk",
- "▁Des k",
- "_ machine",
- "_m achine",
- ".net ty",
- "= <",
- "▁ QR",
- "▁Q R",
- "▁ Sidebar",
- "▁S idebar",
- "▁Side bar",
- ".split Container",
- "▁on Success",
- "▁mon key",
- "En joy",
- "( nodes",
- "(n odes",
- "(node s",
- "(no des",
- "pect rum",
- "▁ (*(",
- "▁( *(",
- "▁(* (",
- "\t UINT",
- "\tU INT",
- ", height",
- "▁Network s",
- "▁Net works",
- ". tail",
- ".t ail",
- ".l inspace",
- "▁ \"...",
- "▁\" ...",
- "▁\". ..",
- "▁\".. .",
- "L isten",
- "List en",
- "Li sten",
- ". Channel",
- ".Ch annel",
- "- defined",
- "-d efined",
- "-def ined",
- "Re peat",
- "Rep eat",
- "ad just",
- "adj ust",
- "E RM",
- "ER M",
- "_ application",
- "_app lication",
- ".assert NotNull",
- "- stream",
- "-st ream",
- "-str eam",
- "▁r abbit",
- "▁rab bit",
- "▁position ing",
- "▁w oke",
- "▁wo ke",
- "▁f ing",
- "▁fin g",
- "▁fi ng",
- "▁multi player",
- "▁multip layer",
- "▁register ing",
- "▁regist ering",
- "un til",
- "unt il",
- "( ::",
- "(: :",
- "uss ions",
- "ussion s",
- "▁pot ato",
- "▁ Equals",
- "▁E quals",
- "▁Equ als",
- "▁Equal s",
- ". Sup",
- ".S up",
- "/ apache",
- "/ap ache",
- "▁( =",
- ". \")",
- ".\" )",
- ". ptr",
- ".p tr",
- ".pt r",
- "▁ Speech",
- "▁S peech",
- "▁Spe ech",
- ". clip",
- ".c lip",
- ".cl ip",
- ".cli p",
- "▁Gab riel",
- "▁mus ician",
- "▁music ian",
- "/ issues",
- ". shop",
- ".s hop",
- ".sh op",
- "▁H ier",
- "▁Hi er",
- "_ RET",
- "_RE T",
- "_R ET",
- "_ bucket",
- "_b ucket",
- "a vs",
- "av s",
- "▁r oz",
- "▁ro z",
- "f lower",
- "fl ower",
- "flow er",
- "Write Barrier",
- "▁Mil an",
- "▁Mi lan",
- "▁legisl ature",
- "▁D oll",
- "▁Do ll",
- "▁Dol l",
- "▁pro ving",
- "▁pr oving",
- "▁prov ing",
- ".concat enate",
- "▁g char",
- "▁gc har",
- "cdn js",
- "b les",
- "ble s",
- "bl es",
- "▁ Listing",
- "▁L isting",
- "▁List ing",
- "▁Lis ting",
- ".xr Label",
- "▁S ak",
- "▁Sa k",
- "just ice",
- "▁Val entine",
- "un less",
- "▁p iger",
- "▁pi ger",
- "▁pig er",
- "▁pige r",
- "( run",
- "(r un",
- "▁test ified",
- "A NA",
- "AN A",
- "▁Rem oves",
- "▁Remove s",
- ") )));\n",
- ")) ));\n",
- "))) );\n",
- ")))) ;\n",
- "rec ated",
- "▁Runtime Method",
- "▁con qu",
- "▁t issues",
- "▁tissue s",
- "a iler",
- "ail er",
- "ai ler",
- "- Star",
- "-S tar",
- "-St ar",
- "▁fl ames",
- "▁flame s",
- ".set Icon",
- "▁sup ern",
- "▁super n",
- "▁vag ina",
- "- variable",
- "▁well ness",
- "C UR",
- "CU R",
- "▁b elle",
- "▁bel le",
- "▁bell e",
- ". getRequest",
- ".get Request",
- "▁p oco",
- "▁po co",
- "▁poc o",
- "b enh",
- "be nh",
- "ben h",
- "a gens",
- "ag ens",
- "age ns",
- "agen s",
- "▁s pill",
- "▁sp ill",
- "▁spi ll",
- "▁J ur",
- "▁Ju r",
- "▁ dispatcher",
- "▁dispatch er",
- "▁disp atcher",
- "em onic",
- "emo nic",
- "emon ic",
- "( dirname",
- "(dir name",
- "▁p asse",
- "▁pass e",
- "▁pas se",
- "▁g anz",
- "▁ga nz",
- "▁gan z",
- "r icing",
- "ri cing",
- "ric ing",
- "E U",
- "▁muj eres",
- "▁mujer es",
- "es sen",
- "ess en",
- "esse n",
- ". attribute",
- ".at tribute",
- ".attrib ute",
- "j j",
- "\t \t▁\n",
- "\t\t ▁\n",
- "\t\t▁ \n",
- "[ ^",
- "▁str tolower",
- "▁strtol ower",
- "lex er",
- "ect ar",
- "ec tar",
- "h otel",
- "ho tel",
- "hot el",
- ". square",
- ".s quare",
- "▁r all",
- "▁ra ll",
- "▁low ered",
- "▁lower ed",
- "handle d",
- "hand led",
- "M arket",
- "Mark et",
- "Mar ket",
- "▁U ses",
- "▁Us es",
- "▁Use s",
- "i vas",
- "iv as",
- "iva s",
- ". Business",
- ".B usiness",
- "D IV",
- "DI V",
- "▁w asted",
- "▁was ted",
- "▁wa sted",
- "▁waste d",
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- "▁p addle",
- "▁padd le",
- "_ example",
- "_ex ample",
- "▁ foreground",
- "▁fore ground",
- ". routes",
- ".r outes",
- ".route s",
- ".ro utes",
- "▁s owie",
- "▁so wie",
- "▁sow ie",
- "S UCCESS",
- "▁C DC",
- "▁CD C",
- "▁ BD",
- "▁B D",
- "_ -",
- "as ured",
- "asure d",
- "W riting",
- "Wr iting",
- "▁ currentPage",
- "▁current Page",
- "( answer",
- "(ans wer",
- "(an swer",
- "▁ ASCII",
- "▁A SCII",
- "▁ASC II",
- "▁social ly",
- "▁soc ially",
- "▁soci ally",
- "y yy",
- "yy y",
- "▁Special ist",
- "( customer",
- "(c ustomer",
- "(custom er",
- "ist ani",
- "istan i",
- "ista ni",
- "k est",
- "ke st",
- "kes t",
- "▁M ak",
- "▁Ma k",
- "▁t ho",
- "▁th o",
- ". pt",
- ".p t",
- "( comment",
- "(com ment",
- "▁ Converter",
- "▁Con verter",
- "▁Convert er",
- "g am",
- "ga m",
- "b ins",
- "bin s",
- "bi ns",
- ". tele",
- ".t ele",
- ".te le",
- "▁Veter ans",
- "_ ALLOC",
- "_AL LOC",
- "_ALL OC",
- "inn amon",
- "; width",
- "o hl",
- "oh l",
- "▁fan tas",
- "▁fant as",
- "▁s ung",
- "▁su ng",
- "▁sun g",
- "\t K",
- "( Json",
- "(J son",
- "▁neighbour hood",
- "▁v ow",
- "▁vo w",
- "▁s ins",
- "▁si ns",
- "▁sin s",
- "on acci",
- "ona cci",
- "▁ epochs",
- "▁epoch s",
- "im agen",
- "image n",
- "ima gen",
- "imag en",
- ". Change",
- ".Ch ange",
- ".my batis",
- "Se ek",
- "See k",
- "W ER",
- "WE R",
- "▁inter ess",
- "▁inte ress",
- "▁interes s",
- "_ Event",
- "_E vent",
- "eder land",
- "▁terr itor",
- "▁ci udad",
- "uc ked",
- "uck ed",
- "▁sn ack",
- "▁trans ported",
- "▁transport ed",
- "▁ Manifest",
- "▁Man ifest",
- "▁ DAT",
- "▁D AT",
- "▁DA T",
- "_ theta",
- "_th eta",
- "_the ta",
- "▁w ont",
- "▁won t",
- "▁wo nt",
- ". \n\n\n\n\n\n\n\n\n\n",
- ".\n\n \n\n\n\n\n\n\n\n",
- ".\n \n\n\n\n\n\n\n\n\n",
- ".\n\n\n\n \n\n\n\n\n\n",
- ".\n\n\n \n\n\n\n\n\n\n",
- ".\n\n\n\n\n\n \n\n\n\n",
- ".\n\n\n\n\n\n\n\n \n\n",
- "▁E pic",
- "▁Ep ic",
- "De ck",
- "Dec k",
- "l tra",
- "lt ra",
- "_Z ERO",
- "▁[ ];",
- "▁[] ;",
- "/ scripts",
- "/s cripts",
- "/script s",
- "▁ --------------------------------------------------------------------------------",
- "▁---------------------------------------------------------------- ----------------",
- "▁---- ----------------------------------------------------------------------------",
- "▁---------------- ----------------------------------------------------------------",
- "▁------------------------------------------------ --------------------------------",
- "▁-------------------------------- ------------------------------------------------",
- "▁---------------------------------------------------------------------------- ----",
- "▁---------- ----------------------------------------------------------------------",
- "▁w eed",
- "▁we ed",
- "N BC",
- "NB C",
- "▁r aped",
- "▁rap ed",
- "▁ra ped",
- "▁rape d",
- "▁ Gateway",
- "▁G ateway",
- "▁Gate way",
- "[ M",
- "▁ Timeout",
- "▁Time out",
- "ench mark",
- ". ViewModel",
- ".View Model",
- "▁porn os",
- "▁por nos",
- "▁porno s",
- "▁Y a",
- "th ritis",
- "thr itis",
- "▁Fl ynn",
- "▁Fly nn",
- "▁ mega",
- "▁m ega",
- "▁me ga",
- "▁meg a",
- "a cin",
- "ac in",
- "aci n",
- "▁tr ibal",
- "▁tri bal",
- "▁trib al",
- ". apple",
- ".app le",
- ".ap ple",
- "▁B lo",
- "▁Bl o",
- "i bi",
- "ib i",
- "r ov",
- "ro v",
- "▁L ives",
- "▁Live s",
- "▁Li ves",
- "▁Liv es",
- "^ .",
- "get Request",
- "▁Est ablish",
- "cont ainers",
- "container s",
- "contain ers",
- "▁st arring",
- "▁star ring",
- "▁cele brities",
- "▁celebr ities",
- "▁ Relative",
- "▁Rel ative",
- "▁He ights",
- "▁Height s",
- "▁tq dm",
- "▁North west",
- "i vic",
- "iv ic",
- "ivi c",
- "\t cl",
- "\tc l",
- "▁autom otive",
- "ent ric",
- "entr ic",
- "▁ fortunate",
- "▁fort unate",
- "▁fire place",
- "▁fi replace",
- "se ud",
- "n ickname",
- "nick name",
- "; s",
- "_ CAL",
- "_C AL",
- "_CA L",
- "h alt",
- "ha lt",
- "hal t",
- "( ns",
- "(n s",
- "_ deleted",
- "_de leted",
- "_delete d",
- "_del eted",
- "Develop ment",
- "m ovies",
- "movie s",
- "mov ies",
- "▁id entities",
- "▁ident ities",
- "▁prompt ly",
- "▁ ante",
- "▁a nte",
- "▁an te",
- "▁ant e",
- "▁\" ','",
- "▁\"' ,'",
- "▁\"', '",
- "imp se",
- "▁y ap",
- "▁ya p",
- "Type Name",
- "▁b itch",
- "▁bit ch",
- "▁associ ates",
- "▁associate s",
- "▁assoc iates",
- "HE ME",
- "- empty",
- "-em pty",
- "ol vers",
- "olve rs",
- "olver s",
- "olv ers",
- "▁pist ol",
- "Sc oped",
- "Scope d",
- "ag ner",
- "agn er",
- "agne r",
- "' ]=='",
- "'] =='",
- "']= ='",
- "']== '",
- "▁ IMP",
- "▁I MP",
- "▁IM P",
- "e xc",
- "ex c",
- "▁o mitted",
- "▁om itted",
- "▁omit ted",
- "▁mind set",
- "▁minds et",
- "▁ [](",
- "▁[ ](",
- "▁[] (",
- "▁ orn",
- "▁o rn",
- "▁or n",
- "_ CAM",
- "_C AM",
- "_CA M",
- "A vg",
- "Av g",
- "Localized String",
- "▁N atur",
- "▁Nat ur",
- "▁com poser",
- "▁comp oser",
- "▁compose r",
- "▁compos er",
- "▁ Playing",
- "▁Pl aying",
- "▁Play ing",
- "▁over d",
- "▁ov erd",
- "_ utf",
- "_u tf",
- "_ut f",
- ". sk",
- ".s k",
- "▁F ol",
- "▁Fo l",
- "$ page",
- "$p age",
- ", Object",
- "▁b ees",
- "▁be es",
- "▁bee s",
- "al ary",
- "ala ry",
- "alar y",
- "b ullet",
- "bul let",
- "bull et",
- "_ library",
- "_l ibrary",
- "_lib rary",
- "O ffer",
- "Of fer",
- "Off er",
- "loc ated",
- "locate d",
- "▁ (_,",
- "▁( _,",
- "▁(_ ,",
- "▁ Owners",
- "▁Own ers",
- "▁Owner s",
- "▁Ow ners",
- ") ).\n",
- ")) .\n",
- ")). \n",
- "▁b ri",
- "▁br i",
- ". Admin",
- ".Ad min",
- "k tion",
- "kt ion",
- "▁erot ici",
- "▁erotic i",
- "Cancel led",
- "▁a gr",
- "▁ag r",
- "re views",
- "review s",
- "_ dma",
- "_d ma",
- "_dm a",
- "R ICT",
- "RI CT",
- "RIC T",
- "▁ gfx",
- "▁g fx",
- "▁gf x",
- "m pi",
- "mp i",
- "p po",
- "pp o",
- "▁ //@",
- "▁// @",
- "▁/ /@",
- "▁upper case",
- "▁comm itting",
- "▁commit ting",
- "▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁",
- "User Data",
- "▁v ai",
- "▁va i",
- "\t sort",
- "\ts ort",
- "▁congr at",
- "▁d ioxide",
- "▁di oxide",
- ". area",
- ".a rea",
- ".ar ea",
- "▁Josh ua",
- "▁K och",
- "▁Ko ch",
- "_ break",
- "_b reak",
- "a zure",
- "az ure",
- "azu re",
- "is tical",
- "ist ical",
- "istic al",
- "isti cal",
- "_AL PHA",
- "_ views",
- "_view s",
- "▁elim inating",
- "▁elimin ating",
- "O MB",
- "OM B",
- "en umer",
- "enu mer",
- "enum er",
- "▁Hy dro",
- "( *(",
- "(* (",
- "ERT ICAL",
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- "▁sto le",
- "- east",
- "-e ast",
- "i eron",
- "ie ron",
- "ier on",
- "iero n",
- "▁l inger",
- "▁lin ger",
- "▁ling er",
- "/ doc",
- "/d oc",
- "▁ Already",
- "▁Al ready",
- "as io",
- "asi o",
- "▁ --\n",
- "▁- -\n",
- "▁-- \n",
- "▁ abbrev",
- "▁abb rev",
- "▁ Atom",
- "▁A tom",
- "▁At om",
- "h im",
- "hi m",
- "▁ INSERT",
- "▁INS ERT",
- "s un",
- "su n",
- "CON NECT",
- "er ator",
- "era tor",
- "▁M anning",
- "▁Man ning",
- "▁Mann ing",
- "▁ :(",
- "▁: (",
- "g as",
- "ga s",
- "= >'",
- "=> '",
- "▁query set",
- "; }\r\n",
- ";} \r\n",
- "▁ Population",
- "▁Pop ulation",
- "uted String",
- "res ident",
- "_ FONT",
- "_F ONT",
- "▁Res pond",
- "▁obsc ure",
- "▁ observable",
- "▁o bservable",
- "▁observ able",
- "▁Contrib utors",
- "k on",
- "ko n",
- "▁M usk",
- "▁Mus k",
- "▁Mu sk",
- "ex ao",
- "▁T ub",
- "▁Tu b",
- "Boot Application",
- "S OR",
- "SO R",
- ". Horizontal",
- ".H orizontal",
- ". findBy",
- ".find By",
- ". power",
- ".p ower",
- ".pow er",
- ".po wer",
- "▁positive ly",
- "▁posit ively",
- "ven ience",
- "▁J ong",
- "▁Jo ng",
- "▁Jon g",
- "▁wh istle",
- "▁l ending",
- "▁len ding",
- "▁lend ing",
- "▁destruct ive",
- "▁ onDelete",
- "▁on Delete",
- "author ization",
- "() ;?>",
- "(); ?>",
- "_ original",
- "_or iginal",
- "_origin al",
- "_orig inal",
- "sc ience",
- "sci ence",
- "a tra",
- "at ra",
- "atr a",
- "?, ?,",
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- "▁A sc",
- "▁As c",
- "▁convin cing",
- "▁convinc ing",
- "$ a",
- "or gen",
- "org en",
- "orge n",
- "_ Date",
- "_D ate",
- "▁ Provide",
- "▁Pro vide",
- "▁Provid e",
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- "▁lon ely",
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- ") '\n",
- ")' \n",
- "ex change",
- "; ?>\n",
- ";?> \n",
- ". fast",
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- "S amples",
- "Sample s",
- "L ondon",
- "Lon don",
- "' ])\r\n",
- "'] )\r\n",
- "']) \r\n",
- "▁I onic",
- "▁Io nic",
- "▁Ion ic",
- "▁p esso",
- "▁pes so",
- "▁Kn ights",
- "▁Knight s",
- "▁R af",
- "▁Ra f",
- "_ attrs",
- "_attr s",
- "_att rs",
- "▁repe al",
- "> Main",
- ">M ain",
- "▁ Ordered",
- "▁Order ed",
- "▁Ord ered",
- "_ New",
- "_N ew",
- "=\" \">",
- "=\"\" >",
- "=\"\"> ",
- "=\"\">< /",
- "url patterns",
- "ATION AL",
- "pe ech",
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- "▁Id aho",
- "▁pr incess",
- "▁prince ss",
- "▁ Customers",
- "▁Custom ers",
- "▁Customer s",
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- "aw ays",
- "away s",
- "awa ys",
- "a db",
- "ad b",
- "▁Bry ant",
- "▁Bryan t",
- "n once",
- "no nce",
- "non ce",
- "▁ad ul",
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- "= dict",
- "=d ict",
- "text Box",
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- "▁sp erm",
- "▁spe rm",
- "▁sper m",
- "▁c ough",
- "▁co ugh",
- "▁cou gh",
- "H or",
- "Ho r",
- ".Component ResourceManager",
- "▁reg ulator",
- "▁regul ator",
- "▁partner ships",
- "▁partners hips",
- "▁partnership s",
- "/ projects",
- "/project s",
- "t rys",
- "tr ys",
- "try s",
- "▁L aser",
- "▁La ser",
- "▁Las er",
- "▁F unk",
- "▁Fun k",
- "▁Fu nk",
- "▁uncon scious",
- "▁c rust",
- "▁cr ust",
- "▁cru st",
- "▁crus t",
- "▁ Teams",
- "▁Te ams",
- "▁Team s",
- "▁Tea ms",
- "▁ Banner",
- "▁B anner",
- "▁Ban ner",
- "▁H oney",
- "▁Hon ey",
- "▁Ho ney",
- "l ems",
- "le ms",
- "lem s",
- "▁max Width",
- "Pointer Exception",
- "fade Out",
- "- St",
- "-S t",
- "▁str angers",
- "▁strange rs",
- "▁stranger s",
- "▁strang ers",
- "_ GO",
- "_G O",
- "W ritable",
- "Wr itable",
- "_ Info",
- "_In fo",
- ". NonNull",
- ".Non Null",
- "an notations",
- "annot ations",
- "annotation s",
- "▁ GD",
- "▁G D",
- "▁endorse d",
- "▁endors ed",
- "\tToken Name",
- "▁De pending",
- "▁Dep ending",
- "YN AM",
- "▁M eteor",
- "▁Met eor",
- "▁In crease",
- "▁Incre ase",
- ". Many",
- ".M any",
- ".Man y",
- "= =(",
- "== (",
- ". UUID",
- ".U UID",
- "_K ERNEL",
- "▁p q",
- "▁Qt Gui",
- "▁V arious",
- "▁Var ious",
- "▁Vari ous",
- "▁ john",
- "▁j ohn",
- "▁jo hn",
- "_ patch",
- "_p atch",
- "_pat ch",
- "▁t outes",
- "▁to utes",
- "▁tou tes",
- "▁tout es",
- "▁toute s",
- "▁ Fail",
- "▁F ail",
- "▁Fa il",
- "▁surv iving",
- "▁surviv ing",
- "(\" ${",
- "(\"$ {",
- "▁ ▁▁▁▁▁▁\r\n",
- "▁▁ ▁▁▁▁▁\r\n",
- "▁▁▁▁ ▁▁▁\r\n",
- "▁▁▁ ▁▁▁▁\r\n",
- "▁▁▁▁▁▁▁ \r\n",
- "▁▁▁▁▁ ▁▁\r\n",
- "▁▁▁▁▁▁ ▁\r\n",
- "▁image Url",
- ". wordpress",
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- "s ources",
- "source s",
- "\tgl Vertex",
- "▁es col",
- "▁esc ol",
- "R ARY",
- "RA RY",
- "▁Sn ake",
- "▁qu int",
- "▁q uint",
- "▁qui nt",
- "▁l asts",
- "▁la sts",
- "▁last s",
- "▁las ts",
- "▁Har mon",
- "▁co il",
- "▁explo itation",
- "▁exploit ation",
- "l een",
- "le en",
- "lee n",
- "' >\";\n",
- "'> \";\n",
- "'>\" ;\n",
- "▁ SERVER",
- "▁S ERVER",
- "▁SER VER",
- "▁ HEADER",
- "▁HE ADER",
- "▁HEAD ER",
- "_ velocity",
- "_v elocity",
- "_vel ocity",
- "▁ Invoke",
- "▁In voke",
- "▁Inv oke",
- ". timestamps",
- ".timestamp s",
- "▁s ulf",
- "▁su lf",
- "▁sul f",
- "I QUE",
- "▁inhabit ants",
- "ph ins",
- "phi ns",
- "phin s",
- "a zzo",
- "az zo",
- "azz o",
- "▁ mono",
- "▁m ono",
- "▁mon o",
- "▁mo no",
- "Le gend",
- "Leg end",
- "▁ nonce",
- "▁n once",
- "▁no nce",
- "▁non ce",
- "I FE",
- "IF E",
- "; \";\n",
- ";\" ;\n",
- "- create",
- "-c reate",
- "\" \",\n",
- "\"\" ,\n",
- "\"\", \n",
- "per mit",
- "perm it",
- "▁Imm igration",
- "▁path name",
- "ffect ive",
- "▁ex ams",
- "▁exam s",
- "- event",
- "-e vent",
- "▁T ill",
- "▁Ti ll",
- "▁Til l",
- "[ mid",
- "[m id",
- "F IX",
- "FI X",
- "; color",
- "( Order",
- "_t raits",
- "_tr aits",
- "_tra its",
- "▁ orderBy",
- "▁order By",
- "▁s unt",
- "▁su nt",
- "▁sun t",
- "▁Nich olas",
- "▁s unny",
- "▁sun ny",
- "i ners",
- "in ers",
- "ine rs",
- "iner s",
- "▁access ibility",
- "▁ HB",
- "▁H B",
- ". comp",
- ".c omp",
- ".com p",
- ".co mp",
- "\t op",
- "\to p",
- "▁minor ities",
- "ethe us",
- "▁collabor ative",
- "p rit",
- "pr it",
- "H IR",
- "HI R",
- "▁wr aps",
- "▁wrap s",
- "\t draw",
- "\td raw",
- "g od",
- "go d",
- "▁ IX",
- "▁I X",
- ". apps",
- ".app s",
- ".ap ps",
- ".a pps",
- "▁ NM",
- "▁N M",
- "▁irre levant",
- "▁T igers",
- "▁Ti gers",
- "▁Tiger s",
- "▁ diag",
- "▁di ag",
- "▁dia g",
- "G V",
- "▁Access ories",
- "k ont",
- "ko nt",
- "kon t",
- "▁simp lify",
- "▁simpl ify",
- "▁ Favorite",
- "▁F avorite",
- "_ tools",
- "_t ools",
- "_to ols",
- "_tool s",
- "( []);\n",
- "([ ]);\n",
- "([] );\n",
- "▁t owers",
- "▁to wers",
- "▁tow ers",
- "▁tower s",
- "B es",
- "Be s",
- "▁h unter",
- "▁hun ter",
- "▁hunt er",
- "▁s alon",
- "▁sa lon",
- "▁sal on",
- "( buff",
- "(b uff",
- "(buf f",
- "\t debug",
- "\tde bug",
- "▁mal ware",
- "M oving",
- "Mo ving",
- "- options",
- "-o ptions",
- "-option s",
- "-opt ions",
- ") +'",
- ")+ '",
- "▁L OVE",
- "▁LO VE",
- "_S OCKET",
- "_ fin",
- "_f in",
- "▁Del aware",
- "▁sher iff",
- "- invalid",
- "-in valid",
- "▁ FULL",
- "▁F ULL",
- "e las",
- "el as",
- "ela s",
- "\" strings",
- "▁Represent atives",
- "▁Representative s",
- "s urface",
- "sur face",
- "res olved",
- "resolve d",
- "ht docs",
- ") ):\r\n",
- ")) :\r\n",
- ")): \r\n",
- "▁press ures",
- "▁pressure s",
- "▁nor ms",
- "▁norm s",
- "▁ pla",
- "▁p la",
- "▁pl a",
- "▁ surname",
- "▁s urname",
- "▁sur name",
- "▁ postal",
- "▁pos tal",
- "▁post al",
- "▁ Depart",
- "▁De part",
- "▁Dep art",
- "▁s laughter",
- "▁sla ughter",
- "or ida",
- "ori da",
- "▁he bben",
- "▁heb ben",
- "▁d esar",
- "▁des ar",
- "comp act",
- "_ LANG",
- "_L ANG",
- "o poly",
- "op oly",
- "opol y",
- "opo ly",
- "_ rad",
- "_r ad",
- "_ra d",
- "▁ST DMETHOD",
- "▁STD METHOD",
- "L azy",
- "La zy",
- "▁ ▁▁\t",
- "▁▁ ▁\t",
- "▁▁▁ \t",
- ".. .,",
- "... ,",
- "( web",
- "(w eb",
- "▁P ont",
- "▁Po nt",
- "▁et was",
- "▁up ward",
- "_ hat",
- "_h at",
- "▁ ],\n\n",
- "▁] ,\n\n",
- "▁],\n \n",
- "▁], \n\n",
- "▁ baseUrl",
- "▁base Url",
- "▁wor rying",
- "▁worry ing",
- "- addon",
- "-add on",
- "-ad don",
- "( getClass",
- "(get Class",
- "S PI",
- "SP I",
- "▁capt uring",
- ") },\n",
- ")} ,\n",
- ")}, \n",
- "E ffects",
- "Effect s",
- "▁compet ent",
- "▁compete nt",
- "▁f oul",
- "▁fo ul",
- "▁fou l",
- "▁subs cribing",
- "▁subscri bing",
- "▁ OBJECT",
- "▁O BJECT",
- "▁OBJ ECT",
- "▁OB JECT",
- "IX EL",
- "b ucks",
- "bu cks",
- "( edge",
- "(ed ge",
- "( pass",
- "(p ass",
- "▁Peter son",
- "▁Pet erson",
- "▁Peters on",
- "▁bo obs",
- "▁boo bs",
- "▁ Delay",
- "▁D elay",
- "▁De lay",
- "▁Del ay",
- "_ square",
- "_s quare",
- "e lim",
- "el im",
- "eli m",
- "o ters",
- "ot ers",
- "ote rs",
- "oter s",
- "_ PC",
- "_P C",
- "% E",
- "on click",
- "▁S VG",
- "▁SV G",
- "▁t opped",
- "▁to pped",
- "▁top ped",
- "▁topp ed",
- "▁f ist",
- "▁fi st",
- "▁fis t",
- "s mart",
- "sm art",
- "▁R alph",
- "( owner",
- "(o wner",
- "j ours",
- "jo urs",
- "jour s",
- "▁bron ze",
- "▁ ArgumentException",
- "▁Argument Exception",
- "( original",
- "(origin al",
- "(orig inal",
- "_S CALE",
- "_SC ALE",
- "_ cp",
- "_c p",
- "▁recomm ends",
- "▁recommend s",
- ".set Style",
- "S ure",
- "Sur e",
- "Su re",
- "L AND",
- "LA ND",
- "LAN D",
- "▁repe ating",
- "▁repeat ing",
- "M att",
- "Mat t",
- "Ma tt",
- ". Visibility",
- "▁enter prises",
- "▁enterprise s",
- ". Setup",
- ".Set up",
- "( scene",
- "(s cene",
- "(sc ene",
- "▁Re active",
- "▁React ive",
- "ur ge",
- "urg e",
- "b w",
- ". Put",
- ".P ut",
- "p ersist",
- "pers ist",
- ". cookie",
- ".c ookie",
- ".co okie",
- "▁A udi",
- "▁Aud i",
- "▁Au di",
- "` s",
- "sup plier",
- "( Form",
- "(F orm",
- "_ so",
- "_s o",
- "▁Leg ion",
- "t te",
- "tt e",
- "N d",
- "L oss",
- "Lo ss",
- "Los s",
- "( attrs",
- "(attr s",
- ".sc atter",
- "▁g room",
- "▁gr oom",
- "▁gro om",
- "▁gl impse",
- "▁n ails",
- "▁na ils",
- "▁nail s",
- "▁cum ulative",
- "▁f azer",
- "▁fa zer",
- "▁faz er",
- "_ services",
- "_s ervices",
- "_service s",
- "_serv ices",
- ". Num",
- ".N um",
- "ib ilit",
- "ibil it",
- "ibi lit",
- "_ resolution",
- "_re solution",
- "_res olution",
- "▁ Tx",
- "▁T x",
- "umin ium",
- "o pa",
- "op a",
- ". schedule",
- ".s chedule",
- "sm tp",
- "ur ry",
- "urr y",
- "go og",
- "_ signature",
- "_sign ature",
- ". into",
- ".in to",
- ".int o",
- "▁ Steps",
- "▁St eps",
- "▁Ste ps",
- "▁Step s",
- "▁home owners",
- "▁ NSURL",
- "▁NS URL",
- "▁P AC",
- "▁PA C",
- "▁▁▁▁ ▁▁▁▁▁▁▁▁\n\n",
- "▁▁▁▁▁▁▁▁ ▁▁▁▁\n\n",
- "▁▁▁▁▁▁▁▁▁▁▁ ▁\n\n",
- "▁▁▁▁▁▁▁▁▁ ▁▁▁\n\n",
- "▁▁▁▁▁▁ ▁▁▁▁▁▁\n\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁ \n\n",
- "▁▁▁▁▁▁▁▁▁▁ ▁▁\n\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁\n \n",
- "> ')\n",
- ">' )\n",
- "e nh",
- "en h",
- "▁in cap",
- "▁inc ap",
- "$ MESS",
- "▁mo ins",
- "▁moi ns",
- "▁ Fi",
- "▁F i",
- "▁off season",
- "pr essions",
- "press ions",
- "pression s",
- "> .",
- ">. ",
- "▁ Marker",
- "▁M arker",
- "▁Mar ker",
- "▁Mark er",
- "▁on Close",
- "LE VEL",
- "▁interf ere",
- "▁interfer e",
- "▁C olin",
- "▁Co lin",
- "▁Col in",
- "▁Res istance",
- "Dis count",
- "Disc ount",
- "▁ WebElement",
- "▁Web Element",
- "▁bath rooms",
- "▁bathroom s",
- "leg acy",
- "▁ Capture",
- "▁C apture",
- "▁Cap ture",
- "▁Capt ure",
- "▁a rising",
- "▁ar ising",
- "▁ \");\n\n",
- "▁\" );\n\n",
- "▁\");\n \n",
- "▁\") ;\n\n",
- "▁\"); \n\n",
- "▁ Infinity",
- "▁In finity",
- "▁Inf inity",
- "Advertis ements",
- "Advertisement s",
- "▁ Coming",
- "▁C oming",
- "▁Com ing",
- "▁Co ming",
- "▁ PROJECT",
- "▁PRO JECT",
- "_PROTO COL",
- "▁use Dispatch",
- ". channels",
- ".ch annels",
- ".channel s",
- "▁Cit izens",
- "▁Citizen s",
- "en tre",
- "ent re",
- "entr e",
- "_ mp",
- "_m p",
- ". Constants",
- ".Con stants",
- ".Constant s",
- "▁ Serialize",
- "▁S erialize",
- "▁Serial ize",
- "_ INC",
- "_IN C",
- "_I NC",
- "( lua",
- "(l ua",
- "▁c lash",
- "▁cl ash",
- "▁clas h",
- "_ without",
- "_with out",
- ".key Set",
- "▁rece ivers",
- "▁receive rs",
- "▁receiver s",
- "( mem",
- "(m em",
- "(me m",
- "▁ Horizontal",
- "▁H orizontal",
- "▁Hor izontal",
- "▁Horizon tal",
- "▁cock tail",
- "▁cho oses",
- "▁choose s",
- ". Inner",
- ".In ner",
- "▁rel ied",
- "▁reli ed",
- "▁relie d",
- "o unter",
- "ount er",
- "oun ter",
- "▁\" ^",
- "▁ten ants",
- "▁tenant s",
- "\" `",
- "_ PM",
- "_P M",
- "er sed",
- "ers ed",
- "▁}} \">",
- "▁}}\" >",
- "▁}}\"> ",
- "▁prov inces",
- "▁province s",
- "▁provinc es",
- "_ RAW",
- "_R AW",
- "_RA W",
- "\\ App",
- "▁prostit uer",
- "▁prostitu er",
- "_ gain",
- "_g ain",
- ".t encent",
- "ffect s",
- "ffe cts",
- "( pk",
- "(p k",
- "s ku",
- "sk u",
- "▁ usable",
- "▁us able",
- "▁usa ble",
- "ER VED",
- "ERV ED",
- "▁ant enna",
- "h ea",
- "he a",
- "p list",
- "pl ist",
- "_PL UGIN",
- ". lookup",
- "▁en larg",
- "▁p iss",
- "▁pi ss",
- "H am",
- "Ha m",
- "i map",
- "im ap",
- "ima p",
- "▁in validate",
- "▁invalid ate",
- "▁s ilk",
- "▁si lk",
- "▁sil k",
- "=\"# \">\n",
- "=\"#\" >\n",
- "=\"#\"> \n",
- "▁Gr ass",
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- "M AS",
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- "\t\t \t\t\t\t\t▁",
- "\t\t\t\t \t\t\t▁",
- "\t\t\t \t\t\t\t▁",
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- "▁what s",
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- "Par m",
- "Pa rm",
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- "▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁\n",
- "▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ \n",
- "▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁\n",
- "M otion",
- "Mo tion",
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- "▁ko s",
- "_ FS",
- "_F S",
- "in ges",
- "ing es",
- "inge s",
- "s oles",
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- "_attach ment",
- "orph ic",
- "▁da mit",
- "▁dam it",
- "▁ dlg",
- "▁d lg",
- "▁dl g",
- "▁th rive",
- "▁thr ive",
- "CH ANGE",
- "▁App arently",
- "▁at ual",
- "▁ro oted",
- "▁root ed",
- "( images",
- "(image s",
- "(im ages",
- "a wi",
- "aw i",
- "ar iat",
- "ari at",
- "aria t",
- "▁ch erry",
- "▁cher ry",
- "ST ATIC",
- "STAT IC",
- "m nt",
- "mn t",
- "▁ UserId",
- "▁User Id",
- "il let",
- "ill et",
- "ille t",
- "▁His panic",
- "▁ nak",
- "▁n ak",
- "▁na k",
- "▁cent ro",
- "▁centr o",
- "▁ dims",
- "▁d ims",
- "▁di ms",
- "▁dim s",
- "_ initialize",
- "_initial ize",
- "▁Cent ers",
- "▁Center s",
- "R EN",
- "RE N",
- "▁evolution ary",
- "▁ Topics",
- "▁Top ics",
- "▁Topic s",
- "_ damage",
- "_d amage",
- "_da mage",
- "e mer",
- "em er",
- "eme r",
- "▁r und",
- "▁run d",
- "▁ru nd",
- "▁pun ished",
- "▁punish ed",
- "▁c ubic",
- "▁cub ic",
- "f air",
- "fa ir",
- "[ ];\n\n",
- "[] ;\n\n",
- "[];\n \n",
- "▁in stantiate",
- "▁instant iate",
- "▁over see",
- "▁overs ee",
- "▁overse e",
- "- delete",
- "-de lete",
- "-del ete",
- "unt eer",
- "unte er",
- "start Time",
- "▁ Pipeline",
- "▁P ipeline",
- "▁Pipe line",
- "_ GAME",
- "_G AME",
- "▁C ir",
- "▁Ci r",
- "\t Null",
- "\tN ull",
- ".Format ting",
- "uc umber",
- "▁R ide",
- "▁Rid e",
- "▁Ri de",
- "▁z oo",
- "▁zo o",
- "▁check er",
- "▁che cker",
- "= C",
- "▁g rit",
- "▁gr it",
- "▁gri t",
- "\" );//",
- "\") ;//",
- "\"); //",
- "_ xy",
- "_x y",
- "▁ Declaration",
- "▁De claration",
- "▁call able",
- "F oo",
- "▁ ListItem",
- "▁List Item",
- "▁in accur",
- "m lin",
- "ml in",
- "\t Data",
- "\tD ata",
- "▁ev olving",
- "a wan",
- "aw an",
- "awa n",
- "▁c afe",
- "▁ca fe",
- "▁caf e",
- "f olk",
- "fo lk",
- "fol k",
- "_ID X",
- "_I DX",
- "▁Any thing",
- "▁Palest ine",
- "▁Palestin e",
- "▁ GridView",
- "▁Grid View",
- "▁col ony",
- "▁colon y",
- "▁German s",
- "▁Germ ans",
- "( +",
- ". pid",
- ".p id",
- ".pi d",
- ". jsx",
- ".j sx",
- ".js x",
- "▁Sup erior",
- "▁Super ior",
- "Christ ian",
- "▁L ect",
- "▁Le ct",
- "\t Game",
- "\tG ame",
- "▁instrument al",
- "Animation s",
- "Anim ations",
- "▁M oses",
- "▁Mo ses",
- "▁Mos es",
- "\t\t\r\n \t\t\r\n",
- "z s",
- "k te",
- "kt e",
- "_D IST",
- "_DIS T",
- "_DI ST",
- "b itmap",
- "bit map",
- "d B",
- "▁p ersistence",
- "▁persist ence",
- "$ l",
- "B ron",
- "Br on",
- "Bro n",
- "▁ {|",
- "▁{ |",
- "_ chart",
- "_c hart",
- "_ch art",
- "_char t",
- "▁ Consum",
- "▁Con sum",
- "▁Cons um",
- "▁h emp",
- "▁he mp",
- "▁hem p",
- "▁ \"))\n",
- "▁\" ))\n",
- "▁\") )\n",
- "▁attack ers",
- "▁attacker s",
- "▁knowledge able",
- "▁c et",
- "▁ce t",
- "▁vir uses",
- "▁virus es",
- "' I",
- "▁pitch er",
- "▁pit cher",
- "▁swe eping",
- "▁sweep ing",
- "= list",
- "=l ist",
- "apt ops",
- "aptop s",
- ". depth",
- ".de pth",
- "▁instruct ed",
- "▁R us",
- "▁Ru s",
- "benh avn",
- "S ports",
- "Sp orts",
- "Sport s",
- "▁on set",
- "▁ons et",
- ". RED",
- ".R ED",
- ".RE D",
- "_ si",
- "_s i",
- "▁P ST",
- "▁PS T",
- ". onChange",
- ".on Change",
- "> tag",
- ">t ag",
- "▁R oh",
- "▁Ro h",
- "_ character",
- "_char acter",
- "▁L aws",
- "▁La ws",
- "▁Law s",
- "▁B achelor",
- "_ swap",
- "_s wap",
- "_sw ap",
- ".re activex",
- "▁reward ing",
- "M edium",
- "Med ium",
- "- [",
- "▁ Recently",
- "▁Rec ently",
- "▁Recent ly",
- "J oint",
- "Join t",
- "Jo int",
- "part ition",
- "▁ Minutes",
- "▁Min utes",
- "▁Minute s",
- "▁ indo",
- "▁in do",
- "▁ind o",
- "▁absor bed",
- "▁absorb ed",
- "▁ GN",
- "▁G N",
- "_ IND",
- "_IN D",
- "_I ND",
- "▁s aber",
- "▁sa ber",
- "▁sab er",
- "Sp awn",
- "out puts",
- "output s",
- "▁Jeff rey",
- "▁med ieval",
- "▁medi eval",
- "h ed",
- "he d",
- "G uide",
- "Gui de",
- "Guid e",
- "Gu ide",
- "▁psych o",
- "▁psy cho",
- "▁g lam",
- "▁gl am",
- "E lim",
- "El im",
- "_ plain",
- "_p lain",
- "_pl ain",
- "▁S au",
- "▁Sa u",
- "- four",
- "-f our",
- "▁analy zing",
- "QUE RY",
- "QU ERY",
- "▁tom ato",
- "_ buttons",
- "_button s",
- "V EN",
- "VE N",
- ".set Status",
- ". Url",
- ".U rl",
- "+ \n\n",
- "+\n \n",
- "▁compl aining",
- "▁complain ing",
- "d egree",
- "de gree",
- "deg ree",
- "conf irmed",
- "confirm ed",
- "▁su bt",
- "▁sub t",
- "p arsed",
- "par sed",
- "parse d",
- "▁tor que",
- "▁trouble d",
- "▁troub led",
- "▁trou bled",
- "▁ TARGET",
- "▁T ARGET",
- "▁trad emarks",
- "▁trade marks",
- "▁trademark s",
- "▁ Coordinate",
- "▁Co ordinate",
- "▁Coord inate",
- "▁V iv",
- "▁Vi v",
- "▁ //}\n\n",
- "▁// }\n\n",
- "▁//}\n \n",
- ". getPosition",
- ".get Position",
- ".getP osition",
- "(Key Code",
- "▁Sil va",
- "▁m eteor",
- "▁met eor",
- "▁endorse ment",
- "▁endors ement",
- "Over view",
- "▁P oss",
- "▁Po ss",
- "▁Pos s",
- ". Inject",
- ".In ject",
- "▁even ly",
- "▁visual ization",
- "▁w char",
- "▁wc har",
- "▁H DMI",
- "▁HD MI",
- "▁f unct",
- "▁fun ct",
- "▁func t",
- "ick name",
- "',' ','",
- "▁for wards",
- "▁forward s",
- "Managed Object",
- "▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁",
- "\t server",
- "\ts erver",
- "▁Out look",
- "▁Chron icle",
- "▁dub bed",
- "▁d ok",
- "▁do k",
- "▁W ear",
- "▁We ar",
- ". AL",
- ".A L",
- "p aren",
- "par en",
- "pare n",
- "pa ren",
- ". Interface",
- ".Inter face",
- "Inter faces",
- "Interface s",
- ". cod",
- ".c od",
- ".co d",
- "▁d ib",
- "▁di b",
- ".Global ization",
- "▁Acad emic",
- "▁as sms",
- "▁ass ms",
- "A utom",
- "Auto m",
- "Aut om",
- "▁ lw",
- "▁l w",
- "▁N W",
- "▁&& \r\n",
- "▁proble ma",
- "▁problem a",
- "▁probl ema",
- "▁Manufact uring",
- "l imits",
- "li mits",
- "lim its",
- "limit s",
- "- mobile",
- "-m obile",
- "▁fil me",
- "▁film e",
- "/ map",
- "/m ap",
- "▁d oit",
- "▁do it",
- "▁doi t",
- "▁I nk",
- "▁In k",
- "▁s ued",
- "▁su ed",
- "▁sue d",
- ". arr",
- ".a rr",
- ".ar r",
- "▁under min",
- "▁ Proc",
- "▁P roc",
- "▁Pro c",
- "▁Pr oc",
- "croll View",
- "_ _$",
- "__ $",
- "▁side walk",
- "▁sidew alk",
- "( that",
- "(t hat",
- "(th at",
- "[ q",
- "gram mar",
- "q uito",
- "qu ito",
- "quit o",
- "qui to",
- "▁sp iral",
- "▁spir al",
- "▁spi ral",
- "ext ended",
- "extend ed",
- "▁f ocal",
- "▁foc al",
- "▁fo cal",
- "▁dig ging",
- "p as",
- "pa s",
- "▁T all",
- "▁Tal l",
- "▁Ta ll",
- ". proxy",
- ".pro xy",
- ".pr oxy",
- "i tures",
- "it ures",
- "iture s",
- "itu res",
- "itur es",
- "T RACT",
- "TR ACT",
- "TRA CT",
- "▁Re alm",
- "▁Real m",
- "▁f eder",
- "▁fe der",
- "▁fed er",
- "▁ oriented",
- "▁orient ed",
- "▁ori ented",
- "▁Altern ative",
- "▁Alter native",
- "▁ owe",
- "▁o we",
- "▁ow e",
- "▁s ourced",
- "▁source d",
- "▁sour ced",
- "in ker",
- "ink er",
- ". det",
- ".d et",
- ".de t",
- "S ep",
- "Se p",
- "▁ Qui",
- "▁Q ui",
- "▁Qu i",
- "▁Pal mer",
- "▁Palm er",
- "( _,",
- "(_ ,",
- "s amples",
- "sample s",
- "o yer",
- "oy er",
- "ul lan",
- "ull an",
- "ulla n",
- "q uez",
- "qu ez",
- "que z",
- "Ed ges",
- "Edge s",
- "▁sh out",
- "▁A chie",
- "▁Ach ie",
- "▁ha ar",
- "_ Construct",
- "_Con struct",
- "▁prem ature",
- "▁re vert",
- "▁rev ert",
- "▁reve rt",
- "▁rever t",
- "' ).\n",
- "') .\n",
- "'). \n",
- "▁s chn",
- "▁sc hn",
- "▁sch n",
- "filter ed",
- "fil tered",
- "null ptr",
- "S aved",
- "Save d",
- "Sa ved",
- "itect ure",
- "C LA",
- "CL A",
- "▁ vl",
- "▁v l",
- "st ell",
- "ste ll",
- "\t Me",
- "\tM e",
- "▁L ip",
- "▁Li p",
- "n ational",
- "nat ional",
- "▁wh olly",
- "▁spr ings",
- "▁spring s",
- ". Timer",
- ".T imer",
- ".Time r",
- "\t src",
- "\ts rc",
- "e lsen",
- "el sen",
- "else n",
- "els en",
- "▁communic ating",
- "▁ Quiz",
- "▁Qu iz",
- "▁Qui z",
- "▁t eng",
- "▁te ng",
- "▁ten g",
- "▁g ez",
- "▁ge z",
- "▁ Outside",
- "▁Out side",
- ". Sign",
- ".S ign",
- "( cs",
- "(c s",
- "▁disp utes",
- "▁dispute s",
- "▁disput es",
- "▁We iss",
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- "▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁\n",
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- "▁gre eting",
- "▁greet ing",
- "▁ laughter",
- "▁la ughter",
- "▁laugh ter",
- "▁ant agon",
- "ugg estion",
- "uggest ion",
- "- email",
- "-e mail",
- "-em ail",
- "\t top",
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- "\tto p",
- "▁ eros",
- "▁e ros",
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- "▁iss uing",
- "▁issu ing",
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- "Over flow",
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- "▁nut ritional",
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- ".to uch",
- ".fetch all",
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- "_z ip",
- "\" )}\n",
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- "▁ amat",
- "▁a mat",
- "▁am at",
- "▁C isco",
- "P LEX",
- "PL EX",
- "PLE X",
- "▁s ei",
- "▁se i",
- "f oto",
- "fo to",
- ".to Json",
- "▁Kle in",
- "▁ libc",
- "▁li bc",
- "▁lib c",
- "▁m iners",
- "▁min ers",
- "▁mi ners",
- "▁mine rs",
- "▁miner s",
- "- print",
- "-p rint",
- "-pr int",
- "▁P ride",
- "▁Pr ide",
- "▁Pri de",
- "T odos",
- "To dos",
- "Todo s",
- "▁mask ed",
- "▁mas ked",
- "▁ setData",
- "▁set Data",
- "▁tele fon",
- "▁un happy",
- "▁unh appy",
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- "▁Table s",
- "▁Tab les",
- "▁Ta bles",
- "g eb",
- "ge b",
- "( debug",
- "(de bug",
- "_ allowed",
- "_all owed",
- "_allow ed",
- "- access",
- "-a ccess",
- "-ac cess",
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- "▁g ems",
- "▁ge ms",
- "▁gem s",
- "▁M ature",
- "▁Mat ure",
- "▁Ma ture",
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- "▁All e",
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- ".getBy tes",
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- "Par agraph",
- "Para graph",
- "▁th rottle",
- ". sqlite",
- ".sql ite",
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- "consult a",
- "▁S eah",
- "▁Se ah",
- "▁Sea h",
- "C e",
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- "E RE",
- "ER E",
- "V ous",
- "Vo us",
- "▁ reddit",
- "▁re ddit",
- "▁red dit",
- "▁sql alchemy",
- "-m ile",
- "oc ide",
- "oci de",
- "P our",
- "Po ur",
- "}} \">\n",
- "}}\" >\n",
- "st ead",
- "ste ad",
- "▁ @(",
- "▁@ (",
- "▁ [])",
- "▁[ ])",
- "▁[] )",
- "▁ Ads",
- "▁A ds",
- "▁Ad s",
- "▁over load",
- "▁overl oad",
- "r idden",
- "ri dden",
- "rid den",
- "▁De sert",
- "▁Des ert",
- "▁ Wrap",
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- "▁Portug uese",
- "e tz",
- "et z",
- "\t first",
- "\tf irst",
- "\tfi rst",
- "▁miles tone",
- "▁mile stone",
- "( success",
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- "< Vector",
- " \")\n",
- ">\" )\n",
- "▁D ollar",
- "▁Dol lar",
- "▁Doll ar",
- "▁ emoji",
- "▁em oji",
- "Car ousel",
- "- player",
- "-p layer",
- "-play er",
- "-pl ayer",
- "▁adjust ing",
- "▁adj usting",
- "▁j uga",
- "▁ju ga",
- "▁jug a",
- "allenge s",
- "alleng es",
- "allen ges",
- "g ene",
- "ge ne",
- "gen e",
- "(body Parser",
- "lop edia",
- "lope dia",
- "▁Beh ind",
- "▁slee ves",
- "▁sleeve s",
- "▁drag ging",
- "▁Che vrolet",
- "▁ biz",
- "▁b iz",
- "▁bi z",
- "iv ities",
- "ivi ties",
- "▁ Frequency",
- "▁F requency",
- "▁Frequ ency",
- ", char",
- ",c har",
- ". WHITE",
- ".W HITE",
- "_ preview",
- "_p review",
- "_pre view",
- "_prev iew",
- ") ';\n",
- ")' ;\n",
- "_ ax",
- "_a x",
- "I ONS",
- "ION S",
- "IO NS",
- ". cpu",
- ".c pu",
- ". inputs",
- ".in puts",
- ".input s",
- "U BE",
- "UB E",
- "_ feed",
- "_f eed",
- "_fe ed",
- "_fee d",
- "▁Sup plement",
- "! ).",
- "!) .",
- "es us",
- "▁ UDP",
- "▁U DP",
- "▁micro phone",
- "▁conf irms",
- "▁confirm s",
- ".is NotEmpty",
- "\": \"\",\n",
- "\":\" \",\n",
- "_ SCREEN",
- "_S CREEN",
- "_SC REEN",
- "\t expected",
- "\tex pected",
- "\texpect ed",
- "\texp ected",
- "+-+- +-+-",
- "▁H ait",
- "▁Ha it",
- "fast call",
- "▁dep ict",
- "v b",
- "_ picture",
- "_p icture",
- "_pic ture",
- "\t description",
- "\td escription",
- "\tdes cription",
- "\tde scription",
- "▁W ife",
- "▁Wi fe",
- "u ci",
- "uc i",
- "▁v icious",
- "▁vic ious",
- "ue ba",
- "▁set User",
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- "▁di ving",
- "▁div ing",
- "▁op era",
- "▁oper a",
- "user content",
- "a rah",
- "ar ah",
- "ara h",
- ") },",
- ")} ,",
- "y un",
- "yu n",
- "v elt",
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- "▁uncover ed",
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- "▁X i",
- ". restore",
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- "▁ derive",
- "▁de rive",
- "▁der ive",
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- "ab we",
- "▁D ow",
- "▁Do w",
- ".set Type",
- "_ vs",
- "_v s",
- "▁co zy",
- ". categories",
- ".c ategories",
- "O rg",
- "Or g",
- "_ mgr",
- "_m gr",
- "▁d ungeon",
- "collection View",
- "▁ Blank",
- "▁Bl ank",
- "ac ias",
- "aci as",
- "acia s",
- "_ cleanup",
- "_c leanup",
- "_clean up",
- "_ACT IVITY",
- "▁tri angles",
- "▁triangle s",
- ". MenuItem",
- ".Menu Item",
- "▁ iphone",
- "▁i phone",
- "▁ip hone",
- "▁W on",
- "▁Wo n",
- "] ]\n\n",
- "]] \n\n",
- "]]\n \n",
- "▁ Comparison",
- "▁Com parison",
- "▁Compar ison",
- ". Doc",
- ".D oc",
- ".Do c",
- "▁can onical",
- "▁canon ical",
- "▁Su dan",
- "▁Sud an",
- "' ){",
- "') {",
- "Up Inside",
- "b uiltin",
- "built in",
- "E NCY",
- "EN CY",
- "ENC Y",
- "x be",
- "xb e",
- "▁ch uck",
- "▁contrad ict",
- "▁contra dict",
- "▁nu estro",
- "▁nuest ro",
- "▁architect ural",
- "▁F ib",
- "▁Fi b",
- "▁comp ares",
- "▁compar es",
- "▁compare s",
- "* k",
- "C fg",
- "n ten",
- "nt en",
- "nte n",
- "M atches",
- "Match es",
- "Mat ches",
- "▁DOWN LOAD",
- "_HANDLE R",
- "_HAND LER",
- "man agement",
- "manage ment",
- "mana gement",
- "[ S",
- "E NG",
- "EN G",
- "f ang",
- "fa ng",
- "fan g",
- "▁sl ipped",
- "▁slip ped",
- "▁L anka",
- "▁Lan ka",
- "esc aping",
- "▁tack les",
- "▁tackle s",
- "▁Pe dro",
- "▁Ped ro",
- ". Prop",
- ".P rop",
- ".Pro p",
- ".Pr op",
- ". ''",
- ".' '",
- ". Generated",
- ".G enerated",
- ".Generate d",
- ".New Guid",
- "at rigesimal",
- "il lon",
- "ill on",
- "illo n",
- "▁stat istic",
- "▁statist ic",
- "spec ies",
- "h olding",
- "hold ing",
- "hol ding",
- "Dr upal",
- "▁fundament ally",
- "▁fundamental ly",
- "▁bond age",
- "▁res olutions",
- "▁resolution s",
- "Inline Data",
- "\\ Type",
- "es tion",
- "est ion",
- "esti on",
- ". wrap",
- ".w rap",
- "▁war riors",
- "▁warrior s",
- "▁ LOCAL",
- "▁LO CAL",
- "▁LOC AL",
- "Arch ive",
- "▁embr aced",
- "▁embrace d",
- ". Ver",
- ".V er",
- "▁Aff ordable",
- "ole sale",
- "oles ale",
- "▁Ap plied",
- "▁Appl ied",
- "▁ Conversion",
- "▁Con version",
- "▁Conv ersion",
- "▁Convers ion",
- "m ega",
- "me ga",
- "_ cam",
- "_c am",
- "_ca m",
- "▁cer emon",
- "▁cere mon",
- "a urus",
- "au rus",
- "aur us",
- "▁V olk",
- "▁Vol k",
- "▁Vo lk",
- ". opens",
- ".open s",
- ".op ens",
- "/ about",
- "▁ Std",
- "▁S td",
- "▁St d",
- "j ournal",
- "jour nal",
- "( )){\r\n",
- "() ){\r\n",
- "()) {\r\n",
- ", \"\\",
- ",\" \\",
- "( Arrays",
- "(Array s",
- "▁D ense",
- "▁Den se",
- "/ stat",
- "/st at",
- "user Data",
- "▁g erman",
- "▁ger man",
- "▁ tz",
- "▁t z",
- "w orthy",
- "worth y",
- "wort hy",
- "wor thy",
- "Format Exception",
- "ph erd",
- "pher d",
- "▁sm iles",
- "▁smile s",
- "▁Wh enever",
- "▁When ever",
- "▁Whe never",
- "( adapter",
- "(ad apter",
- ".bad logic",
- "▁brief ing",
- ".Grid Column",
- "- char",
- "-c har",
- "-ch ar",
- "d imension",
- "dim ension",
- "▁C opper",
- "▁Co pper",
- "▁Cop per",
- "▁n inth",
- "▁ni nth",
- "▁nin th",
- "▁' {{",
- "▁'{ {",
- "▁r av",
- "▁ra v",
- "_ Table",
- "_T able",
- "▁deriv atives",
- "▁derivative s",
- "▁R aise",
- "▁Ra ise",
- "▁F ut",
- "▁Fu t",
- "ar mor",
- "arm or",
- "- padding",
- "-p adding",
- "▁re min",
- "▁r emin",
- "▁rem in",
- "\t style",
- "\tst yle",
- "▁Member ship",
- "▁Members hip",
- "▁sp reads",
- "▁spread s",
- "▁gall eries",
- "▁Clark e",
- "▁Clar ke",
- "▁con ception",
- "▁concept ion",
- "▁conce ption",
- "min ute",
- "▁ab usive",
- "_ adj",
- "_ad j",
- "▁terr ific",
- "▁o vert",
- "▁over t",
- "▁ov ert",
- "our cing",
- "▁entr ada",
- "level s",
- "lev els",
- "▁crit ique",
- "▁res pects",
- "▁respect s",
- "▁M MA",
- "▁MM A",
- "i ene",
- "ie ne",
- "ien e",
- "▁en caps",
- "▁enc aps",
- "▁Ray mond",
- "Div ider",
- "Di vider",
- "i vable",
- "iv able",
- "iva ble",
- "b az",
- "ba z",
- "▁@ _;\n",
- "▁Cl aire",
- "▁Cla ire",
- "▁ur ging",
- "▁urg ing",
- "C EE",
- "CE E",
- "▁trans former",
- "▁transform er",
- "dis cord",
- "disc ord",
- "▁J ourney",
- "t os",
- "to s",
- "▁compet itions",
- "▁competition s",
- "▁competit ions",
- "▁ OBJ",
- "▁O BJ",
- "▁OB J",
- "▁B is",
- "▁Bi s",
- "▁relax ation",
- "i dy",
- "id y",
- "_ INSTANCE",
- "_IN STANCE",
- "_INST ANCE",
- "▁ Pref",
- "▁P ref",
- "▁Pr ef",
- "▁Pre f",
- "d ados",
- "da dos",
- "dad os",
- "ici encies",
- "▁Media Query",
- "▁ Cube",
- "▁C ube",
- "▁Cub e",
- "▁Cu be",
- "▁St range",
- "▁Str ange",
- "g pu",
- "gp u",
- "( days",
- "(d ays",
- "(day s",
- "_Init Struct",
- "▁f ingerprint",
- "▁finger print",
- "e mat",
- "em at",
- "ema t",
- "▁Ge cko",
- "▁ rails",
- "▁r ails",
- "▁rail s",
- "▁ra ils",
- "▁L um",
- "▁Lu m",
- "s traction",
- "st raction",
- "str action",
- "stract ion",
- "stra ction",
- "ig ung",
- "igu ng",
- "( movie",
- "(m ovie",
- "_ dictionary",
- "_d ictionary",
- "_ interrupt",
- "_int errupt",
- "_inter rupt",
- "▁ QC",
- "▁Q C",
- "i ked",
- "ik ed",
- "ike d",
- "append Child",
- "rec ipient",
- "V e",
- "▁tow el",
- ".last IndexOf",
- "▁place bo",
- "▁W ie",
- "▁Wi e",
- ". esp",
- ".e sp",
- ".es p",
- "( Debug",
- "oper ative",
- "▁dece ased",
- "& id",
- "\t mutex",
- "\tm utex",
- "e lic",
- "el ic",
- "eli c",
- "▁b apt",
- "▁ba pt",
- "\t \r\n\r\n",
- "\t\r\n \r\n",
- "▁far ther",
- "H alf",
- "Ha lf",
- "Hal f",
- ". disable",
- ".dis able",
- ".menu Strip",
- "le ccion",
- "lec cion",
- "▁result Code",
- "▁c ans",
- "▁can s",
- "▁ca ns",
- "- election",
- "-e lection",
- "-elect ion",
- "f emale",
- "fe male",
- "_ FIX",
- "_F IX",
- "aus ible",
- "▁ POWER",
- "▁P OWER",
- "▁PO WER",
- "▁re construction",
- "▁recon struction",
- "▁reconstruct ion",
- "▁sc ans",
- "▁scan s",
- "▁sca ns",
- ".Xtra Bars",
- "Rem oved",
- "Remove d",
- "▁paragraph s",
- "_ margin",
- "_m argin",
- "_mar gin",
- "▁l ymph",
- "▁ly mph",
- "▁b os",
- "▁bo s",
- "l ington",
- "ling ton",
- "▁Bapt ist",
- "▁advertis ements",
- "▁advertisement s",
- "▁advertise ments",
- "▁ Manage",
- "▁Man age",
- "▁Mana ge",
- "/ yyyy",
- "/y yyy",
- "I OUS",
- "IO US",
- "EN CES",
- "ENCE S",
- "ENC ES",
- "▁F iction",
- "▁Fi ction",
- "\t menu",
- "\tm enu",
- "\tme nu",
- "▁File OutputStream",
- "o van",
- "ov an",
- "ova n",
- "▁F eng",
- "▁Fe ng",
- "▁Fen g",
- "▁sk ipping",
- "▁skip ping",
- "▁ski pping",
- "get Class",
- "getC lass",
- "an ni",
- "ann i",
- "▁re bounds",
- "▁reb ounds",
- "▁rebound s",
- "▁public ity",
- "▁pub licity",
- "▁in gres",
- "▁ing res",
- "us ement",
- "use ment",
- "▁thought ful",
- ". Chart",
- ".C hart",
- ".Ch art",
- ".Char t",
- "▁ha tte",
- "▁hat te",
- "pass port",
- "pas sport",
- "▁hook ed",
- "▁ho oked",
- "▁L ens",
- "▁Le ns",
- "▁Len s",
- "▁flag ship",
- "▁flags hip",
- "▁s tip",
- "▁st ip",
- "▁ GEN",
- "▁G EN",
- "▁GE N",
- "▁cl ues",
- "▁clue s",
- "i pv",
- "ip v",
- "▁R ise",
- "▁Ri se",
- "▁Ris e",
- "▁G ew",
- "▁Ge w",
- "table name",
- "tab lename",
- "▁fore most",
- "_ validate",
- "_valid ate",
- "_ analysis",
- "_an alysis",
- "o lla",
- "ol la",
- "oll a",
- "▁qual ifications",
- "▁qualification s",
- "▁d istributions",
- "▁distrib utions",
- "▁distribution s",
- "▁F lower",
- "▁Fl ower",
- "▁Flo wer",
- "▁Flow er",
- "▁t ense",
- "▁ten se",
- "▁tens e",
- "▁thank ful",
- "▁cl utch",
- "▁un ified",
- "ro ads",
- "road s",
- "▁s iti",
- "▁sit i",
- "▁si ti",
- "▁st all",
- "▁sta ll",
- "_P RIORITY",
- "c stdlib",
- "_USER NAME",
- ". bytes",
- ".by tes",
- ".byte s",
- "? page",
- "er malink",
- "ermal ink",
- "▁Ve get",
- "/v nd",
- "- author",
- "-a uthor",
- "-auth or",
- "-aut hor",
- ". NONE",
- ".N ONE",
- ".NO NE",
- "▁Con current",
- "▁C ry",
- "▁Cr y",
- "▁st arters",
- "▁start ers",
- "▁star ters",
- "▁starter s",
- "▁ Interaction",
- "▁Inter action",
- "▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁",
- "▁ LEVEL",
- "▁LE VEL",
- "E ll",
- "El l",
- "▁com boBox",
- "▁combo Box",
- "▁The resa",
- "▁Th eresa",
- "▁There sa",
- "▁Ther esa",
- "t ek",
- "te k",
- "_ Handle",
- "_H andle",
- "▁ aby",
- "▁a by",
- "▁ab y",
- ".g dx",
- ", end",
- ",e nd",
- "( Local",
- "(L ocal",
- "O l",
- "kn ife",
- "a rial",
- "ar ial",
- "ari al",
- "aria l",
- "▁H off",
- "▁Ho ff",
- "▁prostituer ade",
- "Do ctor",
- "Doc tor",
- "In stances",
- "Instance s",
- "Inst ances",
- ". SetValue",
- ".Set Value",
- "\t from",
- "\tf rom",
- "▁lux urious",
- "In dent",
- "Ind ent",
- "Alloc ator",
- "_D RAW",
- "_DR AW",
- "(\" ,\",",
- "(\", \",",
- "(\",\" ,",
- "▁Fr ances",
- "▁France s",
- "▁Franc es",
- "▁Fran ces",
- "▁group Box",
- "( schema",
- "(s chema",
- "Print f",
- "OR IES",
- "- gradient",
- "▁re put",
- "▁rep ut",
- "a rin",
- "ar in",
- "ari n",
- "_D ONE",
- "_DO NE",
- "in cre",
- "inc re",
- "ig nty",
- "ign ty",
- "▁ex ert",
- "▁exe rt",
- "▁ -.",
- "▁- .",
- "/ App",
- "/A pp",
- "- through",
- "-th rough",
- "▁dec lining",
- "▁decl ining",
- "▁des sert",
- "▁dess ert",
- "▁inc umb",
- "▁design ation",
- ". PORT",
- ".P ORT",
- ", strong",
- ",str ong",
- "▁s andbox",
- "▁sand box",
- "▁w ines",
- "▁win es",
- "▁wine s",
- "▁wi nes",
- "▁P av",
- "▁Pa v",
- "$ str",
- "$s tr",
- "ask ell",
- "▁ PY",
- "▁P Y",
- "Get Instance",
- "Text Input",
- "game Object",
- "/ events",
- "/e vents",
- "/event s",
- "created At",
- "▁local Var",
- "▁ WHITE",
- "▁W HITE",
- "▁WH ITE",
- "p ered",
- "pe red",
- "per ed",
- "i lege",
- "ile ge",
- "eff icient",
- ", color",
- ",c olor",
- ",col or",
- "c ate",
- "ca te",
- "cat e",
- "▁C afe",
- "▁Ca fe",
- "▁Caf e",
- "▁similar ities",
- "▁p umps",
- "▁pump s",
- "▁Hun gary",
- "▁Hung ary",
- ". Username",
- ".User name",
- "▁sk ate",
- "▁ska te",
- "▁touchdown s",
- "▁acceler ate",
- "▁H elen",
- "▁He len",
- "▁Hel en",
- "O MEM",
- "OM EM",
- "OME M",
- "▁K un",
- "▁Ku n",
- "_ vol",
- "_v ol",
- "▁ findAll",
- "▁find All",
- "▁Mens chen",
- "a head",
- "ah ead",
- ") ;\"",
- "); \"",
- "k ommen",
- "kom men",
- "▁poss essed",
- "▁possess ed",
- ".arg max",
- ". transition",
- ".trans ition",
- "A RP",
- "AR P",
- "OL UME",
- "OLUM E",
- "( script",
- "(s cript",
- "▁ Finding",
- "▁F inding",
- "▁Fin ding",
- "▁Find ing",
- "on ces",
- "once s",
- "I o",
- "B old",
- "Bo ld",
- "▁renew al",
- "_D IALOG",
- "▁dis reg",
- "IN TERN",
- "INT ERN",
- "INTER N",
- "▁t oute",
- "▁to ute",
- "▁tou te",
- "▁tout e",
- "▁elect r",
- "▁ele ctr",
- "▁G ross",
- "▁Gr oss",
- "▁Gro ss",
- "\t true",
- "\ttr ue",
- ". Fields",
- ".F ields",
- ".Field s",
- "▁ WIDTH",
- "▁W IDTH",
- "▁D ent",
- "▁De nt",
- "▁Den t",
- "NS Notification",
- "▁a os",
- "▁ao s",
- "▁me lee",
- "▁mel ee",
- ". Validation",
- ".Valid ation",
- "▁ DEC",
- "▁D EC",
- "▁DE C",
- "- dependent",
- "-depend ent",
- "▁su ic",
- "T raits",
- "Tr aits",
- "Tra its",
- "Trait s",
- "$ message",
- "$m essage",
- "▁ Dear",
- "▁D ear",
- "▁De ar",
- "\t FILE",
- "\tF ILE",
- "l anguages",
- "language s",
- ". Prot",
- ".P rot",
- ".Pro t",
- ".Pr ot",
- ". addr",
- ".add r",
- ".ad dr",
- "-g eneration",
- "-gen eration",
- "I CON",
- "IC ON",
- "ICO N",
- "▁trans plant",
- "- description",
- "-d escription",
- "-de scription",
- "-des cription",
- "▁ch asing",
- "▁ch ees",
- "▁che es",
- "▁ }*/\n",
- "▁} */\n",
- "T rad",
- "Tr ad",
- "Tra d",
- "qu eries",
- "que ries",
- "quer ies",
- "/ widgets",
- "/widget s",
- "sub package",
- "▁e spec",
- "▁es pec",
- "▁esp ec",
- "▁cr acked",
- "▁crack ed",
- "▁compet itor",
- "▁competit or",
- "P urchase",
- "- team",
- "-t eam",
- "-te am",
- "ole cular",
- "olec ular",
- "or Thunk",
- "& P",
- "▁rel ent",
- "▁rele nt",
- "/ #{",
- "/# {",
- "▁ productId",
- "▁product Id",
- "▁L av",
- "▁La v",
- "▁Al ter",
- "▁Alt er",
- ". Mode",
- ".M ode",
- ".Mod e",
- "AD IO",
- "ADI O",
- "g rp",
- "gr p",
- "Q uit",
- "Qu it",
- "Qui t",
- "▁dep ths",
- "▁depth s",
- "▁dept hs",
- "- category",
- "-c ategory",
- "▁ DATABASE",
- "▁D ATABASE",
- "▁DATA BASE",
- "S PELL",
- "SP ELL",
- "▁F alcon",
- "▁Fal con",
- "▁QString List",
- "▁' '.",
- "▁'' .",
- "▁In stitution",
- "▁Inst itution",
- "▁Instit ution",
- "d amage",
- "da mage",
- "dam age",
- "az or",
- "azo r",
- "bel ongsTo",
- "ver ages",
- "verage s",
- "▁ NONE",
- "▁N ONE",
- "▁NO NE",
- "▁NON E",
- "ipp ets",
- "ippet s",
- ", \\\n",
- ",\\ \n",
- "▁foot print",
- "_ archive",
- "_arch ive",
- "n ak",
- "na k",
- ". getField",
- ".get Field",
- "▁ Reflection",
- "▁Ref lection",
- "▁Reflect ion",
- "▁ ']",
- "▁' ]",
- "▁H BO",
- "▁HB O",
- "_ discount",
- "_dis count",
- "_disc ount",
- "▁in cest",
- "▁inc est",
- "▁D odge",
- "▁Dod ge",
- "▁W ade",
- "▁Wa de",
- ". NO",
- ".N O",
- "\" encoding",
- "▁Block chain",
- "▁laws uits",
- "▁lawsuit s",
- "▁M aint",
- "▁Main t",
- "▁Ma int",
- "▁Mai nt",
- "ch ten",
- "cht en",
- "chte n",
- "_ ctl",
- "_c tl",
- "_ct l",
- "( timer",
- "(t imer",
- "(time r",
- "B attle",
- "Bat tle",
- "i zo",
- "iz o",
- "ay ed",
- "aye d",
- "I OR",
- "IO R",
- "▁Glas gow",
- "▁s ynth",
- "▁sy nth",
- "▁syn th",
- "_ logs",
- "_l ogs",
- "_log s",
- "_lo gs",
- ". pose",
- ".p ose",
- ".pos e",
- ".po se",
- "_Adjust orThunk",
- "( (&",
- "(( &",
- "▁un sure",
- "▁uns ure",
- "y state",
- "yst ate",
- "O ULD",
- "OU LD",
- ". ng",
- ".n g",
- "▁default dict",
- "work space",
- "works pace",
- "▁select ive",
- "Picker Controller",
- "YNAM IC",
- ". methods",
- ".method s",
- "▁path ways",
- "▁pathway s",
- "▁F ew",
- "▁Fe w",
- "K G",
- "C RYPT",
- "CRY PT",
- "follow ing",
- "▁D LC",
- "▁DL C",
- "▁S ara",
- "▁Sar a",
- "▁Sa ra",
- "▁p reset",
- "▁pre set",
- "▁pres et",
- "e structor",
- "estruct or",
- "▁K urt",
- "▁Kur t",
- "▁Ku rt",
- "▁air plane",
- "▁ omp",
- "▁o mp",
- "▁om p",
- "▁Par ents",
- "▁Parent s",
- "▁Paren ts",
- "▁Mart inez",
- "▁Martin ez",
- ". complete",
- ".com plete",
- ".comp lete",
- "▁broad ly",
- "▁s care",
- "▁sc are",
- "▁sca re",
- "▁scar e",
- "▁elim ination",
- "▁elimin ation",
- "▁p oured",
- "▁po ured",
- "▁pour ed",
- "▁pou red",
- "/ sw",
- "/s w",
- "▁com un",
- "▁co mun",
- "▁m asc",
- "▁ma sc",
- "▁mas c",
- "▁Organ ic",
- "▁Org anic",
- "▁ StringUtils",
- "▁String Utils",
- "il ateral",
- "▁reluct ant",
- "- age",
- "-a ge",
- "-ag e",
- "▁ nz",
- "▁n z",
- ". \"\\",
- ".\" \\",
- "▁past or",
- "▁pas tor",
- "▁pa stor",
- "a lez",
- "al ez",
- "ale z",
- "▁e fect",
- "▁ef ect",
- "p rov",
- "pr ov",
- "pro v",
- "/ init",
- "/i nit",
- "/in it",
- "▁p enn",
- "▁pe nn",
- "▁pen n",
- "un ds",
- "und s",
- "▁s size",
- "▁ss ize",
- "▁ Proj",
- "▁Pro j",
- "▁Pr oj",
- "b asename",
- "base name",
- "bas ename",
- "▁sh ells",
- "▁shell s",
- "▁Ne ck",
- "▁En forcement",
- "v ided",
- "vid ed",
- "vi ded",
- "vide d",
- "s town",
- "st own",
- "sto wn",
- "S phere",
- "Sp here",
- "$ r",
- "us sen",
- "uss en",
- "a fil",
- "af il",
- "afi l",
- "▁Tele gram",
- "▁analy tical",
- "us ually",
- "x n",
- "▁histor ian",
- "▁hist orian",
- "▁historia n",
- "▁Greg ory",
- "ol ph",
- "▁U na",
- "▁Un a",
- "▁con tributes",
- "▁contrib utes",
- "▁contribute s",
- "% -",
- "anti ago",
- ". region",
- ".reg ion",
- "▁ab rupt",
- "▁Unsupported OperationException",
- "▁T ASK",
- "▁TA SK",
- "_ finish",
- "_f inish",
- "_fin ish",
- "▁not orious",
- "▁ Vs",
- "▁V s",
- "▁ MQ",
- "▁M Q",
- "▁s unset",
- "▁sun set",
- "▁un acceptable",
- "ar cer",
- "arc er",
- "▁ill umin",
- "▁illum in",
- "▁O rb",
- "▁Or b",
- "▁ bh",
- "▁b h",
- "E ste",
- "Est e",
- "Es te",
- "_ dispatch",
- "_dis patch",
- "_disp atch",
- "▁r ipped",
- "▁rip ped",
- "▁ri pped",
- "▁tou jours",
- "▁ Parcel",
- "▁Par cel",
- "_ ll",
- "_l l",
- ". userName",
- ".user Name",
- ". classes",
- ".c lasses",
- ".class es",
- ".cl asses",
- "S OURCE",
- "( Number",
- "(N umber",
- "▁head phones",
- "( side",
- "(s ide",
- "con stitution",
- "const itution",
- "an nah",
- "ann ah",
- "anna h",
- "\r\n ▁▁▁▁▁▁▁▁\r\n",
- "▁cl iff",
- "▁cli ff",
- "- ref",
- "-r ef",
- "-re f",
- "▁most rar",
- "▁mo strar",
- "▁mostr ar",
- "▁Po well",
- "▁Pow ell",
- "+ y",
- "▁ BG",
- "▁B G",
- "_ fragment",
- "_f ragment",
- "_fr agment",
- ". Port",
- ".P ort",
- "▁real izing",
- "▁realiz ing",
- "param ref",
- "▁h ometown",
- "▁home town",
- "@ Table",
- "+ \"",
- "+\" ",
- "o mid",
- "om id",
- "omi d",
- "▁d ug",
- "▁du g",
- "\t btn",
- "\tb tn",
- "▁sub jective",
- "▁subject ive",
- "/ browser",
- "/b rowser",
- "▁ ushort",
- "▁u short",
- "▁us hort",
- "▁Mont gomery",
- "- rate",
- "-r ate",
- "-ra te",
- "\t puts",
- "\tp uts",
- "\tput s",
- "l etics",
- "le tics",
- "let ics",
- "letic s",
- "or ns",
- "orn s",
- "e eper",
- "ee per",
- ".In variant",
- "▁conce aled",
- "▁conceal ed",
- "_ numpy",
- "_n umpy",
- "_num py",
- "= ========",
- "== =======",
- "==== =====",
- "======== =",
- "=== ======",
- "====== ===",
- "===== ====",
- "======= ==",
- "( ps",
- "(p s",
- "L ocations",
- "Location s",
- "Loc ations",
- ". astype",
- ".as type",
- ".ast ype",
- "▁ CHANGE",
- "▁CH ANGE",
- ". OrderBy",
- ".Order By",
- "; height",
- "▁g ente",
- "▁ge nte",
- "▁gen te",
- "▁gent e",
- "▁ grunt",
- "▁gr unt",
- "▁ Plane",
- "▁P lane",
- "▁Pl ane",
- "▁Plan e",
- "▁sad ly",
- "▁L ogan",
- "▁Log an",
- "▁Lo gan",
- "_u sec",
- "_us ec",
- "_use c",
- ".d gv",
- "▁since r",
- "▁sin cer",
- "▁sinc er",
- "▁ pn",
- "▁p n",
- "\t gtk",
- "\tg tk",
- "▁inst aller",
- "▁install er",
- "▁instal ler",
- "▁dis placement",
- "▁displ acement",
- "▁bur ns",
- "▁burn s",
- "iv ered",
- "ive red",
- "iver ed",
- ": ])\n",
- ":] )\n",
- "s eat",
- "se at",
- "sea t",
- "a ning",
- "an ing",
- "ani ng",
- "} )\n\n\n",
- "})\n \n\n",
- "}) \n\n\n",
- "})\n\n \n",
- "_ roles",
- "_r oles",
- "_role s",
- "_ro les",
- "at ican",
- "atic an",
- "ati can",
- "atica n",
- "▁gener ators",
- "▁generator s",
- "▁hur ts",
- "▁hurt s",
- "▁ snippet",
- "▁sn ippet",
- "▁g son",
- "▁gs on",
- "▁se greg",
- "▁seg reg",
- "▁distrib utor",
- "▁adv ancing",
- "post gres",
- "▁ usr",
- "▁u sr",
- "▁us r",
- "▁L is",
- "▁Li s",
- ".assert Is",
- "_ cd",
- "_c d",
- "▁hy draulic",
- ". counter",
- ".c ounter",
- ".count er",
- ".co unter",
- "▁Independ ence",
- "Un like",
- "▁t omb",
- "▁to mb",
- "▁tom b",
- "v ik",
- "vi k",
- "pos ted",
- "post ed",
- "po sted",
- "w f",
- "▁desc ending",
- "▁descend ing",
- "d yn",
- "dy n",
- "am ental",
- "ament al",
- "amen tal",
- "▁F ruit",
- "▁Fr uit",
- "▁Y o",
- ". double",
- ".d ouble",
- ".do uble",
- "▁ IA",
- "▁I A",
- "i ev",
- "ie v",
- "ib rate",
- "ibr ate",
- "▁Rel igion",
- "Many ToOne",
- "- Ta",
- "-T a",
- "▁ban ana",
- "▁Av engers",
- "▁Hol ocaust",
- "▁ getC",
- "▁get C",
- "▁c ondo",
- "▁con do",
- "▁cond o",
- "▁Goth ic",
- "▁prosper ity",
- "TR ANS",
- "TRA NS",
- "TRAN S",
- "▁does nt",
- "▁doesn t",
- "▁Cha os",
- "I TT",
- "IT T",
- "▁ CURRENT",
- "▁C URRENT",
- "\\ helpers",
- "_S AVE",
- "a vit",
- "av it",
- "avi t",
- "com puter",
- "comp uter",
- "compute r",
- "_ sheet",
- "_s heet",
- "▁Bre wing",
- "▁Brew ing",
- "▁rob bery",
- ". regex",
- ".reg ex",
- "▁dis ruption",
- "▁disrupt ion",
- "▁S imulation",
- "▁Sim ulation",
- "a pid",
- "ap id",
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- "hei d",
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- "_st ation",
- "_stat ion",
- "▁ Via",
- "▁V ia",
- "▁Vi a",
- "S ale",
- "Sal e",
- "Sa le",
- "▁ Repeat",
- "▁Re peat",
- "▁Rep eat",
- "▁pro min",
- "▁pr omin",
- "▁prom in",
- "▁Z o",
- "- forward",
- "-for ward",
- "▁ Ion",
- "▁I on",
- "▁Io n",
- "it ary",
- "ita ry",
- "itar y",
- "▁j us",
- "▁ju s",
- "- request",
- "-re quest",
- "▁proud ly",
- "▁Stream ing",
- "▁Stre aming",
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- "(Mouse Event",
- "▁S print",
- "▁Sp rint",
- "▁Spr int",
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- "_rot ation",
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- "▁t art",
- "▁ta rt",
- "▁tar t",
- "▁m appings",
- "▁mapping s",
- "C u",
- "C ycle",
- "Cy cle",
- "▁b un",
- "▁bu n",
- "\t lua",
- "\tl ua",
- "▁( (!",
- "▁(( !",
- "▁collect ively",
- "▁collective ly",
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- "▁C ond",
- "▁Con d",
- "▁Co nd",
- "▁ws zyst",
- "▁wsz yst",
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- ".Column Header",
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- "_pro ps",
- "_pr ops",
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- "▁cont race",
- "▁contr ace",
- "▁contra ce",
- "▁match up",
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- ". members",
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- ".member s",
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- "▁so g",
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- "Customer s",
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- "full name",
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- "▁k ap",
- "▁ka p",
- "▁N eu",
- "▁Ne u",
- "add Child",
- "will Return",
- "_p ermalink",
- "_per malink",
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- "▁ener getic",
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- "▁We t",
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- "▁Mor r",
- "▁g cd",
- "▁gc d",
- "co unts",
- "count s",
- ", type",
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- "di g",
- "( Login",
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- "▁crack s",
- "▁cra cks",
- "▁bacter ial",
- "▁bacteria l",
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- "▁Me at",
- "▁Arm strong",
- "▁Bron ze",
- "▁approx imate",
- "_ dirs",
- "_d irs",
- "_dir s",
- "_di rs",
- "l iga",
- "li ga",
- "lig a",
- "▁kind ness",
- "▁ contre",
- "▁con tre",
- "▁cont re",
- "▁contr e",
- "▁E VERY",
- "▁EV ERY",
- "M ET",
- "ME T",
- "▁ann ouncements",
- "▁announc ements",
- "▁announcement s",
- "▁announce ments",
- "g pio",
- "gp io",
- "▁WaitFor Seconds",
- "▁Photo shop",
- "▁Photos hop",
- "▁dis contin",
- "/ dd",
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- "▁top ology",
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- ". interface",
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- ".Hash Set",
- "ARI ANT",
- "( routes",
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- "(route s",
- "▁T eh",
- "▁Te h",
- "▁h ype",
- "▁hy pe",
- "▁hyp e",
- "] \").",
- "]\" ).",
- "▁s lam",
- "▁sl am",
- "▁sla m",
- "▁br oth",
- "▁bro th",
- "- inter",
- "-in ter",
- "-int er",
- "▁R id",
- "▁Ri d",
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- "-m anager",
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- "Cancel ar",
- "▁ Pagination",
- "▁P agination",
- "▁Pag ination",
- "▁sound track",
- "▁pos terior",
- "▁post erior",
- "▁poster ior",
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- "▁\"\" .",
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- "==== ===========",
- "======== =======",
- "=== ============",
- "============ ===",
- "============= ==",
- "=========== ====",
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- "▁api Key",
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- "O RG",
- "OR G",
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- "▁C oupon",
- "▁Co upon",
- "▁Cou pon",
- "Con vention",
- "Conv ention",
- "▁pol ym",
- "▁poly m",
- "▁sal vation",
- "▁salv ation",
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- "▁engineer ed",
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- "▁warm er",
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- "S cripts",
- "Script s",
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- "▁innov ations",
- "▁innovation s",
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- "▁R unner",
- "▁Run ner",
- "N IC",
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- "▁lo os",
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- "----------- ---\n",
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- "--------- -----\n",
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- "(for Key",
- "▁l umin",
- "▁lu min",
- "▁lum in",
- "▁ (?",
- "▁( ?",
- "▁A IDS",
- "▁AI DS",
- ", user",
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- "imiento s",
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- "▁Wel t",
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- "▁observ ing",
- "▁deliber ate",
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- "▁sem ana",
- "ST ACK",
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- "uch en",
- "uc hen",
- "uche n",
- "N ice",
- "Ni ce",
- "Nic e",
- "▁Deutsch land",
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- "iz io",
- "izi o",
- "▁F acts",
- "▁Fac ts",
- "▁Fa cts",
- "▁Fact s",
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- "_p opup",
- "_pop up",
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- "▁Director s",
- "▁Dir ectors",
- "▁Dire ctors",
- "{ :",
- "[ R",
- "▁ plat",
- "▁p lat",
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- "▁pla t",
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- "▁disp osition",
- "▁dispos ition",
- "▁disposit ion",
- "d raft",
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- "▁surge on",
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- "▁Tr ev",
- "▁Tre v",
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- "Top ics",
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- "▁au tres",
- "▁autre s",
- "J ose",
- "Jo se",
- "Pro ducer",
- "Produ cer",
- "Prod ucer",
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- "▁NE XT",
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- "▁replica te",
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- ".fac e",
- "▁guard ian",
- "my Modal",
- "▁clip board",
- "▁A TM",
- "▁AT M",
- "▁pe as",
- "▁S ylv",
- "▁Sy lv",
- ". calc",
- ".c alc",
- ".ca lc",
- ".cal c",
- "▁ Contacts",
- "▁Cont acts",
- "▁Contact s",
- "int Value",
- "▁mod ifying",
- "▁modify ing",
- "▁Bar b",
- "▁Ba rb",
- ". loss",
- ".l oss",
- ".lo ss",
- "_ percentage",
- "_per centage",
- "_percent age",
- "As ked",
- "Ask ed",
- "( lst",
- "(l st",
- "ategor ical",
- "ategori cal",
- "- files",
- "-f iles",
- "-file s",
- "-fi les",
- "▁Rom ania",
- "▁Ro mania",
- "▁Roman ia",
- "▁Roma nia",
- ". Ac",
- ".A c",
- "▁ hai",
- "▁h ai",
- "▁ha i",
- "▁F lying",
- "▁Fl ying",
- "▁Fly ing",
- "j p",
- "▁Tr ainer",
- "▁Tra iner",
- "▁Train er",
- ". arc",
- ".a rc",
- ".ar c",
- "_ deg",
- "_d eg",
- "_de g",
- "▁trace back",
- "Or Fail",
- "F LOW",
- "FL OW",
- ". old",
- ".o ld",
- "o ya",
- "oy a",
- "g mt",
- "gm t",
- "is empty",
- "▁vacc ination",
- "▁ obsolete",
- "▁ob solete",
- "recogn ized",
- "▁ru ined",
- "▁ruin ed",
- "▁Re in",
- "▁ Tracking",
- "▁Tr acking",
- "▁Track ing",
- "x fb",
- "xf b",
- "▁br yster",
- "▁ ITS",
- "▁I TS",
- "▁IT S",
- "▁des tiny",
- "▁dest iny",
- "▁destin y",
- "▁s wear",
- "▁sw ear",
- "▁swe ar",
- "▁re des",
- "▁r edes",
- "▁red es",
- "▁rede s",
- "▁c lf",
- "▁cl f",
- "▁fl ipped",
- "▁flip ped",
- "\t head",
- "\th ead",
- "B luetooth",
- "Bl uetooth",
- "▁Over rides",
- "▁Override s",
- ": Boolean",
- "_ =",
- "_ lr",
- "_l r",
- "sp awn",
- ": index",
- "VAL UES",
- "VALUE S",
- "is key",
- "isk ey",
- "iske y",
- "? \");\n",
- "?\" );\n",
- ".syn thetic",
- "▁ Checking",
- "▁Check ing",
- "struct ures",
- "structure s",
- "i ping",
- "ip ing",
- "▁voc als",
- "▁vocal s",
- "- Up",
- "-U p",
- "▁Manufact urers",
- "▁Manufacturer s",
- "▁Mar riage",
- "▁gar ner",
- "▁garn er",
- "_ Client",
- "_C lient",
- "par allel",
- "RI END",
- "▁vine gar",
- "se gue",
- "seg ue",
- "J B",
- "▁cont acting",
- "▁contact ing",
- "▁Car roll",
- "▁Carr oll",
- "▁out reach",
- "▁outr each",
- "t ensor",
- "_ variant",
- "_v ariant",
- "_var iant",
- "▁t heat",
- "▁th eat",
- "▁the at",
- "lic able",
- "lica ble",
- "{ |",
- "t iny",
- "ti ny",
- "tin y",
- "_ letter",
- "_l etter",
- "▁p encil",
- "HeadersHeight SizeMode",
- "il tro",
- "ilt ro",
- "iltr o",
- ".auto configure",
- ". drag",
- ".d rag",
- ".dr ag",
- ". useState",
- ".use State",
- "▁B MI",
- "▁BM I",
- "h int",
- "hi nt",
- "hin t",
- "Com pile",
- "Comp ile",
- "* \\",
- "en ary",
- "ena ry",
- "▁ lvl",
- "▁l vl",
- "▁lv l",
- ". Cache",
- ".C ache",
- "+ =\"",
- "+= \"",
- "_ tv",
- "_t v",
- "ruit ment",
- "▁f read",
- "▁fr ead",
- "▁fre ad",
- "Art icles",
- "Article s",
- "f ila",
- "fi la",
- "fil a",
- "▁pack aged",
- "▁package d",
- "AT HER",
- "ATH ER",
- "▁Pl anned",
- "▁Plan ned",
- "s cheme",
- "sch eme",
- "▁di ary",
- "▁dia ry",
- "▁off enses",
- "▁offense s",
- "/ ",
- "/< ?",
- "▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁",
- "Progress HUD",
- "▁G or",
- "▁Go r",
- ".get Title",
- "▁mock ed",
- "▁T ory",
- "▁To ry",
- "▁Tor y",
- "▁\" )\";\n",
- "▁\") \";\n",
- "▁\")\" ;\n",
- "# g",
- "▁l ied",
- "▁li ed",
- "▁lie d",
- "▁ svc",
- "▁s vc",
- "▁sv c",
- "_ gui",
- "_g ui",
- "EN TRY",
- "ENT RY",
- "▁serv icio",
- "▁servi cio",
- "mouse over",
- "S ACTION",
- "SA CTION",
- "▁re ife",
- "lect ric",
- "_ creation",
- "_c reation",
- "Re ality",
- "Real ity",
- "( '+",
- "(' +",
- "product Id",
- "Sup plier",
- "- Le",
- "-L e",
- ". repo",
- ".re po",
- "uc king",
- "uck ing",
- "_ Str",
- "_S tr",
- "▁R elay",
- "▁Re lay",
- "▁Rel ay",
- "▁p erv",
- "▁per v",
- "▁pe rv",
- "Ch icago",
- "▁m aison",
- "▁ma ison",
- "▁mais on",
- "▁mai son",
- "▁st icker",
- "▁stick er",
- "_ pressed",
- "_p ressed",
- "_pr essed",
- "_pres sed",
- "_press ed",
- "S wap",
- "Sw ap",
- "▁ IG",
- "▁I G",
- "▁suscept ible",
- "oc ado",
- "oca do",
- "▁ gin",
- "▁g in",
- "▁gi n",
- "e xe",
- "ex e",
- "ighbor hood",
- ") `",
- "▁diagram s",
- "▁dia grams",
- "▁in flammatory",
- "▁inflamm atory",
- "▁ Popup",
- "▁P opup",
- "▁Pop up",
- "▁app reh",
- "▁ap preh",
- "▁Port folio",
- "▁w ors",
- "▁wor s",
- "▁wo rs",
- ".e nums",
- ".en ums",
- "/ Button",
- "/B utton",
- "▁Ph antom",
- "▁ #:",
- "▁# :",
- "▁d ik",
- "▁di k",
- "p ager",
- "page r",
- "pa ger",
- "pag er",
- "f tar",
- "ft ar",
- "▁organ izer",
- "▁organiz er",
- "▁organize r",
- "( children",
- "(child ren",
- "▁Mun ich",
- "▁str ang",
- "▁ RW",
- "▁R W",
- "M ah",
- "Ma h",
- "pt ide",
- "▁learn s",
- "▁lear ns",
- "▁redu ctions",
- "▁reduction s",
- "▁Re placement",
- "▁Replace ment",
- "O TS",
- "OT S",
- "al con",
- "alc on",
- "( parts",
- "(p arts",
- "(part s",
- "(par ts",
- "b ash",
- "ba sh",
- "bas h",
- "▁Cit izen",
- "▁Http Servlet",
- "_SC HEMA",
- "me ans",
- "mean s",
- "▁horr ific",
- "VER IFY",
- "▁D CHECK",
- "▁DC HECK",
- "▁ (/",
- "▁( /",
- ". before",
- ".b efore",
- ".be fore",
- ". texture",
- ".text ure",
- ".tex ture",
- "get Mock",
- "▁ Sense",
- "▁S ense",
- "▁Sen se",
- "▁Sens e",
- "Ins pector",
- "Inspect or",
- "Text Node",
- "( AL",
- "(A L",
- ".get Node",
- "▁bo yc",
- "▁boy c",
- "▁Bris bane",
- "▁batt ling",
- "\t tx",
- "\tt x",
- "▁lobby ing",
- "b uilt",
- "bu ilt",
- "▁S EEK",
- "▁SEE K",
- "▁random ized",
- "g ni",
- "gn i",
- "_cl usters",
- "_cluster s",
- "_ identity",
- "_id entity",
- "_ident ity",
- "▁card iac",
- "▁new User",
- ". Video",
- ".V ideo",
- "d uit",
- "du it",
- "] init",
- "A tl",
- "At l",
- ") value",
- ")v alue",
- "Text Utils",
- "Com pute",
- "Comp ute",
- "Comput e",
- "= ('",
- "=( '",
- "\t \t▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "\t\t ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "\t\t▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁",
- "\t\t▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "\t\t▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "\t\t▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁",
- "\t\t▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁",
- "\t\t▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁",
- "\t\t▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁",
- "\t\t▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁",
- "\t\t▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁",
- "▁ arter",
- "▁ar ter",
- "▁art er",
- "▁arte r",
- "▁T WO",
- "▁TW O",
- "' )),",
- "') ),",
- "')) ,",
- "▁ DIV",
- "▁D IV",
- "▁DI V",
- "▁privile ged",
- "▁privilege d",
- "▁Partners hip",
- "▁Partner ship",
- "▁He ather",
- "▁Heat her",
- "▁Heath er",
- "b ay",
- "ba y",
- "atisf ied",
- "inst agram",
- "_ Send",
- "_S end",
- "_Se nd",
- "▁ ASF",
- "▁A SF",
- "▁AS F",
- "$ name",
- "▁ boo",
- "▁b oo",
- "▁bo o",
- "_ Field",
- "_F ield",
- "▁E du",
- "▁Ed u",
- "c andidate",
- "r uby",
- "ru by",
- "rub y",
- "▁accum ulate",
- "(Int Ptr",
- "▁business man",
- "▁economic ally",
- "▁econom ically",
- "▁economical ly",
- "▁R ings",
- "▁Ring s",
- "▁Rin gs",
- "▁ Inputs",
- "▁In puts",
- "▁Input s",
- "a cie",
- "ac ie",
- "aci e",
- "▁ Alarm",
- "▁Al arm",
- "▁ Logout",
- "▁Log out",
- "▁Logo ut",
- ". sequence",
- ".se quence",
- "▁Vi enna",
- "o pr",
- "op r",
- "▁dr ums",
- "▁drum s",
- "= config",
- "q ui",
- "qu i",
- "▁d ato",
- "▁da to",
- "▁dat o",
- "▁poly mer",
- "▁polym er",
- "▁ Changed",
- "▁Ch anged",
- "▁Change d",
- "▁Chan ged",
- "▁Chang ed",
- "Web Request",
- "▁Adv ance",
- "▁under going",
- "▁undergo ing",
- ". Console",
- ".Con sole",
- "▁current Node",
- "▁W ool",
- "▁Wo ol",
- "▁Woo l",
- "REG ISTER",
- "▁s aga",
- "▁sa ga",
- "▁sag a",
- "▁Y ORK",
- "aman ho",
- "▁Bund es",
- "▁Dialog Interface",
- "ge ois",
- "geo is",
- "unc iation",
- "unci ation",
- "? $",
- ".Assert ions",
- "▁se ated",
- "▁sea ted",
- "▁seat ed",
- "▁ Spy",
- "▁S py",
- "▁Sp y",
- "P ose",
- "Pos e",
- "Po se",
- "\" C",
- "▁a hora",
- "▁ah ora",
- "▁w arp",
- "▁war p",
- "▁wa rp",
- "Pro jection",
- "Project ion",
- "Proj ection",
- "▁S ingles",
- "▁Sing les",
- "▁Single s",
- "▁Ad vertising",
- "L inux",
- "Lin ux",
- "us ty",
- "ust y",
- "▁pe nal",
- "▁pen al",
- "US IC",
- "o dia",
- "od ia",
- "odi a",
- ".net beans",
- "▁U g",
- "▁B rent",
- "▁Br ent",
- "▁Bre nt",
- "▁Bren t",
- "- log",
- "-l og",
- "-lo g",
- "/ category",
- "/c ategory",
- "▁Custom ize",
- "i ren",
- "ir en",
- "ire n",
- "in ars",
- "ina rs",
- "inar s",
- "▁ (++",
- "▁( ++",
- "▁(+ +",
- "Go ing",
- "EX EC",
- "( mesh",
- "(m esh",
- "(me sh",
- "▁per imeter",
- "▁peri meter",
- "C ls",
- "Cl s",
- "ce iving",
- "m ensaje",
- "mens aje",
- "( ))){\n",
- "() )){\n",
- "()) ){\n",
- "())) {\n",
- "▁pro state",
- "▁prost ate",
- "_ buy",
- "_b uy",
- "▁Ro of",
- ". Return",
- ".R eturn",
- ".Re turn",
- ".Ret urn",
- "▁mar riages",
- "▁marriage s",
- "_ thumb",
- "_th umb",
- "Text ures",
- "Texture s",
- "Tex tures",
- "( TEXT",
- "(T EXT",
- "short cut",
- "Trans former",
- "Transform er",
- "AT IC",
- "▁Snow den",
- "scribe rs",
- "scri bers",
- "scriber s",
- "m arked",
- "mark ed",
- "mar ked",
- "h ora",
- "ho ra",
- "hor a",
- "O PER",
- "OP ER",
- "▁F Y",
- "▁Auth entic",
- "▁ audi",
- "▁a udi",
- "▁aud i",
- "▁au di",
- "r amer",
- "ra mer",
- "rame r",
- "ram er",
- "▁Liter ature",
- "▁ itemId",
- "▁item Id",
- ". Att",
- ".A tt",
- ".At t",
- "( cnt",
- "(c nt",
- "▁ KS",
- "▁K S",
- "- linux",
- "-l inux",
- "▁Part icipant",
- "▁Particip ant",
- "▁Cru ise",
- "it ulo",
- "itu lo",
- "us trial",
- "ust rial",
- "ustr ial",
- "▁cl ase",
- "▁clas e",
- "▁ =$",
- "▁= $",
- "_ dates",
- "_d ates",
- "_date s",
- "_dat es",
- "_da tes",
- "current Page",
- "i xa",
- "ix a",
- "ex act",
- "▁t sl",
- "▁ts l",
- ". So",
- ".S o",
- "/ document",
- "/d ocument",
- "/doc ument",
- "h art",
- "ha rt",
- "har t",
- "_ID LE",
- "{ }.",
- "{} .",
- "y et",
- "ye t",
- "I ron",
- "Ir on",
- "▁Th rones",
- "▁Thr ones",
- "s nd",
- "sn d",
- "\\ xa",
- "\\x a",
- "▁be verages",
- "▁beverage s",
- "_ transport",
- "_trans port",
- "▁fo il",
- "▁foi l",
- "▁t asting",
- "▁tas ting",
- "▁tast ing",
- "▁go ed",
- "M emo",
- "Me mo",
- "Mem o",
- "▁nit rogen",
- ". Member",
- ".M ember",
- ". flat",
- ".f lat",
- ".fl at",
- "▁i llum",
- "▁ill um",
- "m inent",
- "min ent",
- "mine nt",
- ". zoom",
- ".z oom",
- "▁ Ptr",
- "▁P tr",
- "▁Pt r",
- "o cio",
- "oc io",
- "oci o",
- "▁Consult ing",
- "▁C one",
- "▁Con e",
- "▁Co ne",
- "\t items",
- "\titem s",
- "\tit ems",
- "▁ LM",
- "▁L M",
- "▁ oauth",
- "▁o auth",
- "▁Program me",
- "och ond",
- "( selector",
- "(se lector",
- "(select or",
- "▁water proof",
- "▁Mer kel",
- "▁s uffers",
- "▁suffer s",
- "▁suff ers",
- "▁suf fers",
- "▁ npm",
- "▁n pm",
- "▁np m",
- "▁L anding",
- "▁Land ing",
- "▁Lan ding",
- "▁ LAN",
- "▁L AN",
- "▁LA N",
- "\t \t\t\t\t\t\r\n",
- "\t\t \t\t\t\t\r\n",
- "\t\t\t\t \t\t\r\n",
- "\t\t\t \t\t\t\r\n",
- "\t\t\t\t\t \t\r\n",
- "\t\t\t\t\t\t \r\n",
- "/ is",
- "/i s",
- "▁ GUILayout",
- "▁G UILayout",
- "▁GUI Layout",
- "g ive",
- "gi ve",
- "_ CY",
- "_C Y",
- "B rowse",
- ".m ultiply",
- ".multi ply",
- "=\" $(",
- "=\"$ (",
- "u so",
- "us o",
- "- parent",
- "-p arent",
- "-par ent",
- ". Math",
- ".M ath",
- ". numberOf",
- ".number Of",
- "▁t ienen",
- "▁ti enen",
- "▁tie nen",
- "▁tiene n",
- "▁ resent",
- "▁re sent",
- "▁res ent",
- "▁pitch ing",
- "▁pit ching",
- "\" ]),\n",
- "\"] ),\n",
- "\"]) ,\n",
- ". Utilities",
- ".Util ities",
- "▁multip lication",
- ": type",
- ":t ype",
- "▁p print",
- "▁pp rint",
- "i ani",
- "ia ni",
- "ian i",
- "▁launch er",
- "▁rug by",
- "\n \t\t\t\n",
- "h id",
- "hi d",
- "Ang les",
- "Angle s",
- "▁good bye",
- "▁input Stream",
- ". watch",
- ".w atch",
- "G oods",
- "Go ods",
- "Good s",
- "▁S ays",
- "▁Sa ys",
- "▁Say s",
- "> F",
- "▁S tick",
- "▁St ick",
- "▁c erc",
- "▁ce rc",
- "▁cer c",
- "▁S lee",
- "▁Sl ee",
- "\t \t▁▁▁▁▁▁▁▁",
- "\t\t ▁▁▁▁▁▁▁▁",
- "\t\t▁▁▁ ▁▁▁▁▁",
- "\t\t▁ ▁▁▁▁▁▁▁",
- "\t\t▁▁ ▁▁▁▁▁▁",
- "\t\t▁▁▁▁▁▁▁ ▁",
- "\t\t▁▁▁▁ ▁▁▁▁",
- "\t\t▁▁▁▁▁ ▁▁▁",
- "\t\t▁▁▁▁▁▁ ▁▁",
- "< Image",
- "",
- ";' >",
- "\t col",
- "\tc ol",
- "V G",
- "_ boolean",
- "_bool ean",
- "_bo olean",
- "re cent",
- "rec ent",
- "rece nt",
- "▁* )\n\n",
- "▁*) \n\n",
- "▁*)\n \n",
- "▁Rain bow",
- "om men",
- "omm en",
- "▁l ur",
- "▁lu r",
- "▁op pression",
- "▁opp ression",
- "(\", \");\n",
- "(\",\" );\n",
- "▁Fac ility",
- "DEF INED",
- "DEFINE D",
- "▁ne on",
- "▁neo n",
- "▁off ender",
- "A FP",
- "AF P",
- "▁C leaning",
- "▁Clean ing",
- "▁Cle aning",
- "[ ]):",
- "[] ):",
- "[]) :",
- "▁und ocumented",
- ". Repositories",
- ".Re positories",
- "▁G uitar",
- "▁Gu itar",
- "▁Gui tar",
- "S kills",
- "Sk ills",
- "Skill s",
- "▁test imon",
- "▁testim on",
- "rypt ography",
- "▁Am ber",
- "▁Amb er",
- "▁St alin",
- "▁Sta lin",
- "▁l one",
- "▁lo ne",
- "▁lon e",
- "▁ap enas",
- "▁die ses",
- "▁dies es",
- "▁diese s",
- "▁Ar duino",
- "= =-",
- "== -",
- "_ Act",
- "_A ct",
- "▁c oded",
- "▁co ded",
- "▁code d",
- "▁cod ed",
- "amb urger",
- "amburg er",
- "- links",
- "-l inks",
- "-link s",
- "▁arm our",
- ". High",
- ".H igh",
- "get Content",
- "s tag",
- "st ag",
- "sta g",
- "▁ heck",
- "▁he ck",
- "▁Mc Connell",
- "▁Con cert",
- "▁ Alloc",
- "▁Al loc",
- "▁All oc",
- ". replaceAll",
- ".replace All",
- "▁part itions",
- "▁partition s",
- "r ott",
- "ro tt",
- "rot t",
- "▁F le",
- "▁Fl e",
- "_T REE",
- "_TR EE",
- "reason able",
- "▁Rep orting",
- "▁Report ing",
- "▁billion aire",
- "s cores",
- "sc ores",
- "score s",
- "m ins",
- "min s",
- "mi ns",
- "- eye",
- "-e ye",
- "M ORE",
- "MO RE",
- "ab ort",
- "abor t",
- "abo rt",
- "▁S WT",
- "▁SW T",
- "▁in verted",
- "▁invert ed",
- "▁Te achers",
- "▁Teacher s",
- "; n",
- "▁ astro",
- "▁as tro",
- "▁ast ro",
- "▁astr o",
- "product o",
- "c ountries",
- "count ries",
- "▁O wen",
- "▁Ow en",
- "▁cont amination",
- "▁contamin ation",
- "▁conta mination",
- "▁v ibe",
- "▁vi be",
- "▁vib e",
- "▁E lli",
- "▁El li",
- "▁Ell i",
- ". script",
- ".s cript",
- "▁O live",
- "▁Ol ive",
- "D MA",
- "DM A",
- "v ier",
- "vi er",
- ": semicolon",
- "- module",
- "-m odule",
- "-mod ule",
- "g ressive",
- "gress ive",
- "a gu",
- "ag u",
- "_ players",
- "_p layers",
- "_pl ayers",
- "_player s",
- "_play ers",
- "▁result ados",
- "▁resultado s",
- "start ed",
- "star ted",
- "scroll Top",
- "= ====",
- "== ===",
- "==== =",
- "=== ==",
- "▁weigh ing",
- "▁[ [[",
- "▁[[ [",
- "z ahl",
- "za hl",
- "( NS",
- "(N S",
- "▁Assert ion",
- "le ague",
- ".set TextColor",
- ".setText Color",
- "\t Message",
- "\tM essage",
- "▁m oms",
- "▁mom s",
- "▁mo ms",
- "_ AF",
- "_A F",
- ". wh",
- ".w h",
- "A LS",
- "AL S",
- "▁aut re",
- "▁au tre",
- "] \n\n\n\n",
- "]\n \n\n\n",
- "]\n\n \n\n",
- "]\n\n\n \n",
- ". opacity",
- ".op acity",
- "▁Budd hist",
- "▁Buddh ist",
- "▁de af",
- "▁Organ isation",
- "( Global",
- "(G lobal",
- "en sch",
- "ens ch",
- "▁head ache",
- "▁Al ien",
- "▁Ali en",
- "_ inode",
- "_in ode",
- "_i node",
- "▁St ark",
- "▁Star k",
- "▁Sta rk",
- "-l nd",
- "-ln d",
- "o ref",
- "or ef",
- "ore f",
- "_ feat",
- "_f eat",
- "_fe at",
- "▁pedest rian",
- "▁nom inal",
- "▁nomin al",
- "▁ball oon",
- "▁bal loon",
- "▁ballo on",
- "▁s prites",
- "▁sp rites",
- "▁spr ites",
- "▁sprite s",
- "Prototype Of",
- "▁A post",
- "▁Ap ost",
- "▁F EATURE",
- "▁FE ATURE",
- "O H",
- "▁re cess",
- "▁r ecess",
- "▁rec ess",
- "▁rece ss",
- "▁D onna",
- "▁Don na",
- "con sumer",
- "cons umer",
- "$ GLOBALS",
- "▁G IF",
- "▁GI F",
- "- frame",
- "-f rame",
- "-fr ame",
- "In icio",
- "Ini cio",
- "▁pass ages",
- "▁passage s",
- "Date String",
- "▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁",
- ". byte",
- ".by te",
- "B ug",
- "Bu g",
- "initial izer",
- "initialize r",
- "p kt",
- "pk t",
- "od ium",
- "odi um",
- "▁ DER",
- "▁D ER",
- "▁DE R",
- ". ops",
- ".op s",
- ".o ps",
- "l eri",
- "le ri",
- "ler i",
- "▁gift ed",
- "▁gif ted",
- "▁ detach",
- "▁det ach",
- "ter rain",
- "terra in",
- "el ters",
- "elt ers",
- "elter s",
- ". loader",
- ".l oader",
- ".load er",
- ".lo ader",
- "▁N GO",
- "▁NG O",
- "str ncmp",
- "K h",
- "( fontSize",
- "(font Size",
- "r ocket",
- "ro cket",
- "rock et",
- "roc ket",
- "▁preced ent",
- "▁Aur ora",
- "▁Ex periment",
- "is phere",
- "isp here",
- "Enc oded",
- "Encode d",
- "▁py ramid",
- "▁Ann iversary",
- "o fil",
- "of il",
- "( plugin",
- "(pl ugin",
- "C oeff",
- "Co eff",
- "▁cooper ate",
- "▁predomin antly",
- "I SM",
- "IS M",
- "Ph rase",
- "_ DEFINE",
- "_DE FINE",
- "_DEF INE",
- "_DEFIN E",
- "F lip",
- "Fl ip",
- "AMIL Y",
- "▁Mark ets",
- "▁Market s",
- "▁Stream Reader",
- "▁C ombine",
- "▁Com bine",
- "▁Comb ine",
- "▁manus cript",
- "z za",
- "zz a",
- ", tp",
- ",t p",
- "Wh atever",
- "What ever",
- "IT ICAL",
- "igh bour",
- "ighb our",
- "Data Provider",
- ". Texture",
- ".Text ure",
- "priv acy",
- ". SDK",
- ".S DK",
- "▁re charge",
- "▁ cpp",
- "▁c pp",
- "▁cp p",
- "▁ CFG",
- "▁C FG",
- "▁CF G",
- "( holder",
- "(h older",
- "( py",
- "(p y",
- "m ot",
- "mo t",
- "▁sa voir",
- "▁sav oir",
- "▁R osa",
- "▁Ro sa",
- "▁Ros a",
- "▁P Cs",
- "▁PC s",
- ".her oku",
- "▁f ren",
- "▁fr en",
- "▁fre n",
- "▁R iley",
- "▁Ri ley",
- "a gate",
- "ag ate",
- "aga te",
- "▁s ond",
- "▁so nd",
- "▁son d",
- ".x lsx",
- "▁h acked",
- "▁hack ed",
- "▁hac ked",
- "st ad",
- "sta d",
- "G i",
- "▁s anity",
- "▁san ity",
- "▁sanit y",
- "▁Sql DataAdapter",
- ".. .\",",
- "... \",",
- "...\" ,",
- "▁P ussy",
- "▁ ****************",
- "▁******** ********",
- "▁hass le",
- "_P ARENT",
- "_PAR ENT",
- "▁U AE",
- "▁UA E",
- "▁begin ners",
- "▁beginner s",
- "( Client",
- "(C lient",
- "(Cl ient",
- "▁stat istically",
- "▁statist ically",
- "▁statistical ly",
- "▁statistic ally",
- ". hour",
- ".h our",
- "e delta",
- "ed elta",
- "▁ traction",
- "▁t raction",
- "▁tr action",
- "▁tra ction",
- "▁tract ion",
- "u elve",
- "uel ve",
- "a rat",
- "ar at",
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- "_ difference",
- "_d ifference",
- "_ changes",
- "_ch anges",
- "_change s",
- "_chan ges",
- "( ...)",
- "(... )",
- "(.. .)",
- "▁ Rotation",
- "▁R otation",
- "▁Rot ation",
- "▁L GPL",
- "▁LG PL",
- "▁ JUST",
- "▁J UST",
- "( Task",
- "(T ask",
- "_ subset",
- "_sub set",
- "▁ TRANS",
- "▁TR ANS",
- "▁TRAN S",
- "▁S cout",
- "▁Sc out",
- "▁Sco ut",
- "- popup",
- "-p opup",
- "-pop up",
- "▁sm oked",
- "▁smoke d",
- "▁smo ked",
- "_ Class",
- "_C lass",
- "▁turn over",
- "br akk",
- "bra kk",
- "▁Rock y",
- "t as",
- "ta s",
- ".Regular Expressions",
- "▁Elli ott",
- "▁ Spinner",
- "▁Sp inner",
- "▁Spin ner",
- "DUCT ION",
- "DU CTION",
- "▁li bre",
- "▁lib re",
- "▁libr e",
- "▁mol to",
- "▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁",
- "▁ FTP",
- "▁F TP",
- "▁FT P",
- "m peg",
- "mp eg",
- "( features",
- "(f eatures",
- "(feature s",
- "▁b ald",
- "▁bal d",
- "▁ba ld",
- "▁V id",
- "▁Vi d",
- "▁sh outing",
- "▁shout ing",
- "L int",
- "Li nt",
- "Lin t",
- "▁s ockets",
- "▁socket s",
- "▁sock ets",
- "▁p row",
- "▁pro w",
- "▁pr ow",
- "▁nouvel le",
- "is card",
- "isc ard",
- "▁S ponsor",
- "▁ consulta",
- "▁cons ulta",
- "▁consult a",
- ") ));",
- ")) );",
- "))) ;",
- "Ind ian",
- "India n",
- "▁R aspberry",
- "▁team mate",
- "▁ JWT",
- "▁J WT",
- "▁Gh ana",
- "▁c akes",
- "▁ca kes",
- "▁cake s",
- "pr imer",
- "prim er",
- "prime r",
- "form a",
- "for ma",
- "erg arten",
- "_ Manager",
- "_M anager",
- "▁pre season",
- "G AME",
- "GA ME",
- "| \"",
- "▁B rock",
- "▁Br ock",
- "▁Bro ck",
- "▁occ upy",
- "▁occup y",
- "▁decor ations",
- "▁decoration s",
- "▁c ot",
- "▁co t",
- "▁p aran",
- "▁par an",
- "▁para n",
- "▁pa ran",
- "D isk",
- "Dis k",
- "Di sk",
- "re main",
- "rem ain",
- "> ?",
- "St rong",
- "Str ong",
- "▁f rance",
- "▁fr ance",
- "▁fra nce",
- "▁fran ce",
- "▁franc e",
- "▁E ra",
- "▁Er a",
- "- cr",
- "-c r",
- ".Buffer edReader",
- "▁Parad ise",
- "▁V AT",
- "▁VA T",
- "▁An ders",
- "▁And ers",
- "▁l imb",
- "▁li mb",
- "▁lim b",
- "amp oo",
- "ampo o",
- "▁imper ative",
- "UT ILITY",
- "UTIL ITY",
- "▁ Recognition",
- "▁Rec ognition",
- "▁ragaz ze",
- "▁p ops",
- "▁pop s",
- "▁po ps",
- "y press",
- "yp ress",
- "▁emb argo",
- "// {\n",
- "▁s yll",
- "▁sy ll",
- "P TR",
- "PT R",
- "▁did nt",
- "▁didn t",
- "M ailer",
- "Mail er",
- "Ma iler",
- "▁acad emics",
- "▁academic s",
- "▁Fr auen",
- "▁Fra uen",
- "▁Frau en",
- "ne ider",
- "- rel",
- "-r el",
- "-re l",
- "▁rain bow",
- "( In",
- "(I n",
- "▁sl iced",
- "▁slice d",
- "▁slic ed",
- "= ============\n",
- "== ===========\n",
- "============ =\n",
- "============= \n",
- "=========== ==\n",
- "========== ===\n",
- "====== =======\n",
- "( send",
- "(s end",
- "(se nd",
- "NSMutable Dictionary",
- "v os",
- "vo s",
- "( package",
- "(p ackage",
- "▁ord inance",
- "▁ordin ance",
- "view er",
- "▁San tos",
- "▁Sant os",
- "- selling",
- "-s elling",
- "▁ gov",
- "▁g ov",
- "▁go v",
- "et tle",
- "ett le",
- "▁found ers",
- "▁fo unders",
- "▁founder s",
- "▁w aking",
- "▁wa king",
- "s lashes",
- "sl ashes",
- "slash es",
- "-p ound",
- "re cht",
- "rec ht",
- ". onClick",
- ".on Click",
- "▁n ord",
- "▁no rd",
- "▁nor d",
- "_ when",
- "_w hen",
- "_wh en",
- "UT ERS",
- "UTE RS",
- "i cc",
- "ic c",
- "▁caps ule",
- "▁W id",
- "▁Wi d",
- "M arc",
- "Mar c",
- "Ma rc",
- "r ored",
- "ro red",
- "ror ed",
- "U GE",
- "UG E",
- "LO UD",
- "▁A udit",
- "▁Aud it",
- "▁Au dit",
- "▁Audi t",
- "ip ients",
- "ipient s",
- "op ian",
- "opia n",
- "▁S ue",
- "▁Su e",
- "▁wur den",
- "▁wurde n",
- ". Helpers",
- ".H elpers",
- "▁f actions",
- "▁fact ions",
- "▁fa ctions",
- "▁faction s",
- "[ np",
- "[n p",
- "- than",
- "-t han",
- "-th an",
- "▁re co",
- "▁r eco",
- "▁rec o",
- "▁k as",
- "▁ka s",
- "▁cmd s",
- "▁cm ds",
- "/ network",
- "/n etwork",
- "/net work",
- "x bf",
- "xb f",
- "get Color",
- "getC olor",
- "▁bi ased",
- "▁bias ed",
- "▁L ak",
- "▁La k",
- "D atas",
- "Data s",
- "Da tas",
- "Dat as",
- "v ents",
- "vent s",
- "ven ts",
- "_ PS",
- "_P S",
- ". Validate",
- ".Valid ate",
- "Inv oker",
- "Invoke r",
- "▁ne uen",
- "▁neu en",
- "▁neue n",
- "▁ju venile",
- "V ISION",
- "VI SION",
- "VIS ION",
- "▁de vote",
- "▁dev ote",
- "▁l inha",
- "▁lin ha",
- "▁discount ed",
- "▁disco unted",
- "\\ Config",
- "▁worth while",
- "▁skin ny",
- "▁C ourses",
- "▁Co urses",
- "▁Cour ses",
- "▁Course s",
- "le ys",
- "ley s",
- "▁Mort gage",
- "K evin",
- "Ke vin",
- "▁ann ounces",
- "▁announc es",
- "▁announce s",
- "] )*",
- "]) *",
- "res ervation",
- "▁prejud ice",
- "▁String Comparison",
- "▁be ard",
- "▁bear d",
- "- win",
- "-w in",
- "\t ms",
- "\tm s",
- "j al",
- "ja l",
- "▁E arn",
- "▁Ear n",
- "_ ports",
- "_p orts",
- "_port s",
- "▁ Nombre",
- "▁N ombre",
- "▁Nom bre",
- "_ COR",
- "_C OR",
- "_CO R",
- "▁ BUILD",
- "▁B UILD",
- "▁BU ILD",
- ". sound",
- ".s ound",
- ".so und",
- "Y ellow",
- "▁lineback er",
- "▁char itable",
- "▁cha ritable",
- "j ug",
- "ju g",
- "_NON NULL",
- "▁D ental",
- "▁Den tal",
- "▁Dent al",
- "\" >${",
- "\"> ${",
- "\">$ {",
- "\t match",
- "\tm atch",
- "\tmat ch",
- "R ussian",
- "Russia n",
- "▁ver sch",
- "▁vers ch",
- "▁p inned",
- "▁pin ned",
- "▁adopt ing",
- "Options Menu",
- "P ag",
- "Pa g",
- "▁pair ing",
- "▁pa iring",
- "▁pai ring",
- "▁t read",
- "▁tr ead",
- "▁tre ad",
- "erc ises",
- "ercise s",
- "▁ Spread",
- "▁S pread",
- "▁Sp read",
- "▁Spr ead",
- ") i",
- "▁ BAD",
- "▁B AD",
- "▁BA D",
- "_ tf",
- "_t f",
- "UI ImageView",
- "UIImage View",
- "pop ulate",
- "b ab",
- "ba b",
- "[ ++",
- "▁opi oid",
- "▁ ##\n",
- "▁# #\n",
- "▁## \n",
- "d type",
- "dt ype",
- "▁St arts",
- "▁Start s",
- "▁Star ts",
- "('/ ')",
- "▁person als",
- "▁personal s",
- "▁persona ls",
- "- market",
- "-m arket",
- "-mark et",
- "▁redund ant",
- "▁Ess ential",
- "▁sc rapy",
- "▁scr apy",
- "▁scrap y",
- "a cl",
- "ac l",
- "▁c rear",
- "▁cr ear",
- "▁cre ar",
- "▁B end",
- "▁Be nd",
- "▁Ben d",
- "▁rel ieve",
- "▁relie ve",
- "- room",
- "-r oom",
- "-ro om",
- "w ife",
- "wi fe",
- "▁Q Point",
- "▁qu asi",
- "▁ methodName",
- "▁method Name",
- "\\ xc",
- "\\x c",
- "▁Per u",
- "▁Pe ru",
- "/ The",
- "/T he",
- ". orm",
- ".o rm",
- ".or m",
- "▁v iz",
- "▁vi z",
- "/ pdf",
- "/p df",
- "Loc ated",
- "▁confront ation",
- "▁Championship s",
- "▁Champions hips",
- "▁Champion ships",
- "▁hyp ert",
- "▁hyper t",
- "▁hype rt",
- "▁d j",
- "▁ UserInfo",
- "▁User Info",
- "\\ xb",
- "\\x b",
- "( sim",
- "(s im",
- "▁ ==\n",
- "▁= =\n",
- "▁== \n",
- "▁st aging",
- "▁sta ging",
- "▁dr astically",
- "▁drastic ally",
- "l ords",
- "lor ds",
- "lord s",
- ". less",
- ".l ess",
- ".le ss",
- "▁ Bucket",
- "▁B ucket",
- "▁Buck et",
- "▁Bu cket",
- "▁M am",
- "▁Ma m",
- ". term",
- ".t erm",
- ".te rm",
- "_ pi",
- "_p i",
- "c zy",
- "cz y",
- ". pub",
- ".p ub",
- "p recio",
- "pre cio",
- "prec io",
- "▁V irt",
- "▁Vir t",
- "▁Vi rt",
- "▁r oman",
- "▁ro man",
- "▁rom an",
- "▁roma n",
- "it at",
- "ita t",
- "L ex",
- "Le x",
- "_ infos",
- "_in fos",
- "_info s",
- "_inf os",
- ". other",
- ".o ther",
- "VE LO",
- "VEL O",
- "▁ ponder",
- "▁p onder",
- "▁po nder",
- "▁pon der",
- "▁pond er",
- "▁h anno",
- "▁han no",
- "( Page",
- "(P age",
- "d oi",
- "do i",
- "▁pol ite",
- "▁polit e",
- "▁program mer",
- "▁programme r",
- "▁programm er",
- "D ies",
- "Die s",
- "Di es",
- "$ d",
- "▁rep lication",
- "▁repl ication",
- "▁replic ation",
- "▁replica tion",
- "add Column",
- "fr ican",
- "frica n",
- "▁l eng",
- "▁le ng",
- "▁len g",
- "b eer",
- "be er",
- "bee r",
- "o it",
- "oi t",
- "▁w asting",
- "▁was ting",
- "▁wast ing",
- "y lim",
- "yl im",
- "me asure",
- "N eg",
- "Ne g",
- "▁part ie",
- "▁par tie",
- ". console",
- ".con sole",
- "▁Gu inea",
- "▁Gui nea",
- "T EL",
- "TE L",
- "_ fact",
- "_f act",
- "_fac t",
- ". chunk",
- ".ch unk",
- "▁l ent",
- "▁le nt",
- "▁len t",
- "▁ aller",
- "▁a ller",
- "▁al ler",
- "▁all er",
- "▁alle r",
- "_ idle",
- "_id le",
- "▁ad missions",
- "▁adm issions",
- "▁admission s",
- "JSON Array",
- "▁v ibration",
- "▁vibr ation",
- "▁vib ration",
- ". helpers",
- ".h elpers",
- ".helper s",
- ".help ers",
- "▁ hen",
- "▁h en",
- "▁he n",
- "j ohn",
- "jo hn",
- "▁jud gement",
- "▁judge ment",
- "▁g een",
- "▁ge en",
- "▁gee n",
- "t erra",
- "ter ra",
- "^ {",
- "▁I z",
- "in stances",
- "instance s",
- "inst ances",
- "instanc es",
- "▁threat ens",
- "▁threaten s",
- "Kind OfClass",
- "▁storyt elling",
- "_ demo",
- "_d emo",
- "_de mo",
- "r ias",
- "ri as",
- "ria s",
- "Priv acy",
- "h ift",
- "hi ft",
- "▁Y i",
- "es or",
- "eso r",
- "ens itivity",
- ". Writer",
- ".W riter",
- ".Write r",
- "D istrict",
- "Di strict",
- ".get JSONObject",
- "Im pro",
- "Imp ro",
- "(get Resources",
- "▁ SPELL",
- "▁S PELL",
- "▁SP ELL",
- "ro duce",
- "rodu ce",
- "rod uce",
- "▁sl owed",
- "▁slow ed",
- "▁ linewidth",
- "▁line width",
- "▁lin ewidth",
- "▁hon esty",
- "▁honest y",
- "▁ho nesty",
- "▁ Coord",
- "▁Co ord",
- "▁F ork",
- "▁For k",
- "▁Fo rk",
- "▁Dispatch Queue",
- "▁Cl iff",
- "▁W iring",
- "▁Wi ring",
- "▁Wir ing",
- "_TIM ESTAMP",
- "ol lah",
- "oll ah",
- "olla h",
- "a void",
- "av oid",
- "avo id",
- "++ ];\n",
- "++] ;\n",
- "sem antic",
- "- css",
- "-c ss",
- "▁v eto",
- "▁ve to",
- "▁vet o",
- "▁M err",
- "▁Me rr",
- "▁Mer r",
- "▁legisl ators",
- "CEE DED",
- "▁question naire",
- "▁P ills",
- "▁Pill s",
- "▁Pil ls",
- "C alculate",
- "Cal culate",
- "Calc ulate",
- "Calcul ate",
- "( core",
- "(c ore",
- "(co re",
- "(cor e",
- "' e",
- "▁dis like",
- "▁ Preferences",
- "▁P references",
- "▁Pre ferences",
- "▁Preference s",
- "_EX TERNAL",
- "_EXTERN AL",
- "▁d odge",
- "▁dod ge",
- ". names",
- ".n ames",
- ".name s",
- ".draw Image",
- "_ prom",
- "_p rom",
- "_pro m",
- "_pr om",
- "uck land",
- "▁<$ >",
- "/ site",
- "/s ite",
- "rop he",
- "roph e",
- "▁comp elled",
- "▁l aptops",
- "▁laptop s",
- "▁ uni",
- "▁u ni",
- "▁un i",
- "C LOSE",
- "▁casual ties",
- "▁ Uniform",
- "▁Un iform",
- "▁Uni form",
- "Term inal",
- ". \",\"",
- ".\" ,\"",
- ".\", \"",
- "D AT",
- "DA T",
- "( TreeNode",
- "(T reeNode",
- "▁Gand hi",
- "( stmt",
- "(st mt",
- "A XB",
- "AX B",
- "* M",
- "▁umb rella",
- "an imal",
- "ani mal",
- "anim al",
- "▁ grpc",
- "▁g rpc",
- "▁gr pc",
- "▁grp c",
- "▁where by",
- "▁float s",
- "▁flo ats",
- "\t arg",
- "\ta rg",
- "▁ dbg",
- "▁d bg",
- "▁db g",
- "▁exceed ing",
- "Event Type",
- ".SaveChanges Async",
- "▁{ {{",
- "▁{{ {",
- "▁ owed",
- "▁ow ed",
- "▁owe d",
- "ahren heit",
- "▁equ ipo",
- "▁equip o",
- "ur ai",
- "ura i",
- "▁id ol",
- "] \")\n",
- "]\" )\n",
- "_ major",
- "_m ajor",
- "▁entire ty",
- "inger print",
- "/ account",
- "/a ccount",
- "\t right",
- "\tr ight",
- "urs os",
- "▁E DT",
- "▁ED T",
- "_ INSERT",
- "_INS ERT",
- "▁sh ining",
- "▁< :",
- "Edge Insets",
- "▁colon ies",
- ". IM",
- ".I M",
- "\t ▁\t",
- "\t▁ \t",
- "R OAD",
- "RO AD",
- "C CCC",
- "CC CC",
- "CCC C",
- "pl acing",
- "pla cing",
- "▁get Activity",
- "em acs",
- "ema cs",
- "' %(",
- "'% (",
- ". clicked",
- ".cl icked",
- ".click ed",
- "▁T hem",
- "▁The m",
- "▁Th em",
- "is ia",
- "isi a",
- "Bus car",
- "Bu scar",
- ". rename",
- ".re name",
- ".r ename",
- "▁o ath",
- "▁after ward",
- "▁U FO",
- "A PS",
- "AP S",
- "▁Jackson ville",
- ". some",
- ".s ome",
- ".so me",
- "Conf irmed",
- "Confirm ed",
- ". scan",
- ".s can",
- ".sc an",
- "ig Integer",
- "Decor ator",
- "sh ield",
- "shi eld",
- "ress ive",
- ". did",
- ".d id",
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- "cry pt",
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- "\t\t\t\t\t \t\t\t\t\t\t\t\t\t\t\t\t",
- "\t\t\t\t\t\t \t\t\t\t\t\t\t\t\t\t\t",
- "\t\t\t\t\t\t\t\t \t\t\t\t\t\t\t\t\t",
- "\t\t\t\t\t\t\t \t\t\t\t\t\t\t\t\t\t",
- "\t\t\t\t\t\t\t\t\t \t\t\t\t\t\t\t\t",
- "\t\t\t\t\t\t\t\t\t\t \t\t\t\t\t\t\t",
- "\t\t\t\t\t\t\t\t\t\t\t \t\t\t\t\t\t",
- "\t\t\t\t\t\t\t\t\t\t\t\t \t\t\t\t\t",
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- "; a",
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- ". Sp",
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- "▁ Slice",
- "▁S lice",
- "▁Sl ice",
- "▁g ays",
- "▁gay s",
- "▁ga ys",
- "▁ alex",
- "▁a lex",
- "▁al ex",
- "▁ale x",
- "a its",
- "ait s",
- "ai ts",
- "▁receipt s",
- "S PEC",
- "SP EC",
- "▁BE FORE",
- "▁ Prefix",
- "▁P refix",
- "▁Pre fix",
- "▁Pref ix",
- "_ visit",
- "_vis it",
- "▁sp un",
- "LE TED",
- "LETE D",
- "LET ED",
- "▁d ow",
- "▁do w",
- "▁legal ization",
- "ab bage",
- "abb age",
- "▁c law",
- "▁cl aw",
- "▁T cl",
- "x ima",
- "xi ma",
- "▁co vert",
- "▁cover t",
- "▁cov ert",
- "N i",
- "▁th anked",
- "▁than ked",
- "▁thank ed",
- "▁allerg ic",
- "l over",
- "lo ver",
- "love r",
- "lov er",
- "▁Br east",
- "▁Bre ast",
- ". isActive",
- ".is Active",
- "▁ geben",
- "▁ge ben",
- "▁geb en",
- "VER SE",
- "Z ONE",
- "\t Result",
- "' ).'",
- "') .'",
- "'). '",
- "▁g ee",
- "▁ge e",
- "▁Ser iously",
- "p urple",
- "pur ple",
- "if ie",
- "ifi e",
- "- pack",
- "-p ack",
- "P articles",
- "Part icles",
- "Particle s",
- "▁'/ ../",
- "▁mult imedia",
- "▁multi media",
- "aut ocomplete",
- "auto complete",
- "▁ THREAD",
- "▁TH READ",
- "▁refer encing",
- "ree tings",
- "reet ings",
- "reeting s",
- "▁qu oting",
- "▁quot ing",
- "▁quo ting",
- "▁assist ants",
- "▁assistant s",
- "j enis",
- "je nis",
- "jen is",
- "h appy",
- "ha ppy",
- "hap py",
- "▁l ays",
- "▁la ys",
- "▁lay s",
- "lib ft",
- "x da",
- "xd a",
- "▁f ou",
- "▁fo u",
- "p iar",
- "pi ar",
- "Re commended",
- "▁Bird s",
- "▁Bir ds",
- "▁W arranty",
- ".IN VISIBLE",
- "_ anchor",
- "_an chor",
- "F ant",
- "Fa nt",
- "Fan t",
- "_ defs",
- "_d efs",
- "_de fs",
- "_def s",
- "▁dream ed",
- "▁dre amed",
- "▁______ _,",
- "p la",
- "pl a",
- "od ka",
- "▁d addy",
- "▁da ddy",
- "▁dad dy",
- "s chemas",
- "schema s",
- "sch emas",
- "= zeros",
- "▁r att",
- "▁rat t",
- "▁ra tt",
- "\t \t▁▁▁▁\t",
- "\t\t ▁▁▁▁\t",
- "\t\t▁▁▁ ▁\t",
- "\t\t▁ ▁▁▁\t",
- "\t\t▁▁ ▁▁\t",
- "\t\t▁▁▁▁ \t",
- "i ej",
- "ie j",
- "▁dr ills",
- "▁drill s",
- "- ",
- "A BA",
- "AB A",
- ". links",
- ".l inks",
- ".link s",
- "▁Dependency Property",
- ". low",
- ".l ow",
- ".lo w",
- "h eed",
- "he ed",
- "hee d",
- "_BL ACK",
- "/ Admin",
- "▁am igos",
- "▁ami gos",
- "in ged",
- "ing ed",
- "inge d",
- "▁Mic key",
- "▁Mick ey",
- ".Get Axis",
- "▁ Needed",
- "▁Ne eded",
- "▁Need ed",
- "▁ Encode",
- "▁En code",
- "▁Enc ode",
- "▁Man ila",
- "▁Col leg",
- "▁Coll eg",
- "ad astro",
- "adas tro",
- "▁ch icas",
- "▁chi cas",
- "▁chic as",
- "▁one self",
- "▁ones elf",
- "x ea",
- "xe a",
- "d uk",
- "du k",
- "▁ gw",
- "▁g w",
- "urg ical",
- "▁Cent ro",
- "▁a es",
- "▁ae s",
- "fe el",
- "fee l",
- "▁t rot",
- "▁tr ot",
- "▁tro t",
- "▁elect rons",
- "▁electron s",
- "▁electro ns",
- "▁electr ons",
- "▁ritual s",
- "▁B ilder",
- "▁Bil der",
- "▁Bild er",
- "▁ decorate",
- "▁dec orate",
- "▁decor ate",
- "▁Token Type",
- "▁l ure",
- "▁lu re",
- "▁lur e",
- "Api Client",
- "g rpc",
- "gr pc",
- "grp c",
- "▁O rc",
- "▁Or c",
- "Context Menu",
- "P REFIX",
- "PRE FIX",
- "-th emed",
- "-the med",
- "-theme d",
- "_f ifo",
- ".InputStream Reader",
- "_ specific",
- "_s pecific",
- "_spec ific",
- "▁D SP",
- "▁DS P",
- "=sub process",
- "/ she",
- "/s he",
- "/sh e",
- "▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ \n",
- "▁da unting",
- "▁cl ears",
- "▁clear s",
- "▁cle ars",
- "▁ Moves",
- "▁M oves",
- "▁Mo ves",
- "▁Move s",
- "▁Mov es",
- "▁myst eries",
- "▁myster ies",
- "- best",
- "-b est",
- "-be st",
- "▁V u",
- "o lib",
- "ol ib",
- "oli b",
- "▁I sh",
- "▁Is h",
- "▁car act",
- "▁cara ct",
- "( Label",
- "(L abel",
- "▁De bian",
- "▁Deb ian",
- "▁Ex perimental",
- "▁Experiment al",
- "▁c av",
- "▁ca v",
- ".To Decimal",
- "▁Rh odes",
- "▁Rhode s",
- "▁H awks",
- "▁Haw ks",
- "▁Hawk s",
- "▁f ountain",
- "_P ENDING",
- "_ SU",
- "_S U",
- "▁wx String",
- "▁P ew",
- "▁Pe w",
- ". cli",
- ".c li",
- ".cl i",
- ". webkit",
- ".web kit",
- "_ CN",
- "_C N",
- "▁;; =",
- "\t namespace",
- "\tn amespace",
- "\tname space",
- "▁w Param",
- "▁pup pies",
- "▁termin ology",
- "▁add icted",
- "▁addict ed",
- "▁ forge",
- "▁f orge",
- "▁for ge",
- "▁forg e",
- "▁Gard ner",
- "▁p essoa",
- "▁pesso a",
- "\t ResultSet",
- "\tResult Set",
- "▁att enu",
- "an gement",
- "ang ement",
- "ange ment",
- "_ inds",
- "_in ds",
- "_ind s",
- "C hi",
- "Ch i",
- "ar ith",
- "ari th",
- "Encoding Exception",
- "m ousedown",
- "mouse down",
- "▁BET WEEN",
- "we igh",
- "wei gh",
- "\" For",
- ". dd",
- ".d d",
- "i tel",
- "it el",
- "ite l",
- "Y O",
- "▁D ice",
- "▁Di ce",
- "un ix",
- "uni x",
- "▁O bt",
- "▁Ob t",
- "▁C edar",
- "▁Ce dar",
- "▁spec imens",
- "▁specimen s",
- "p orn",
- "por n",
- "po rn",
- "▁un official",
- "s ometimes",
- "some times",
- "som etimes",
- "▁Bul ld",
- "▁Bull d",
- "▁Bu lld",
- "t rust",
- "tr ust",
- "get Result",
- "▁sm okers",
- "▁smoke rs",
- "▁smo kers",
- "▁sandwich es",
- "▁ex h",
- "▁ Fade",
- "▁F ade",
- "▁Fa de",
- "_ DC",
- "_D C",
- "▁masturb ation",
- "fort awesome",
- "T HING",
- "TH ING",
- "_ android",
- "_and roid",
- "▁d edic",
- "▁de dic",
- "▁ded ic",
- "-s ensitive",
- "▁nack t",
- "LIB INT",
- "▁ agon",
- "▁a gon",
- "▁ag on",
- "▁ago n",
- "▁DIS ABLE",
- "ones ia",
- "b ies",
- "bi es",
- "bie s",
- "▁ ZIP",
- "▁Z IP",
- "▁ha unted",
- "▁c uid",
- "▁cu id",
- "▁cui d",
- "/ cart",
- "/c art",
- "k os",
- "ko s",
- "\tRT LU",
- "▁h inder",
- "▁hi nder",
- "▁hind er",
- "▁hin der",
- "▁adip isicing",
- "I ENCE",
- ". bank",
- ".b ank",
- ".ba nk",
- "▁Cy prus",
- "m ixed",
- "mi xed",
- "mix ed",
- ". cy",
- ".c y",
- "- single",
- "-s ingle",
- "< len",
- "C oming",
- "Com ing",
- "Co ming",
- "▁fault s",
- "▁fore see",
- "get line",
- "\" a",
- "▁b rag",
- "▁br ag",
- "▁bra g",
- "▁dis cs",
- "▁disc s",
- "▁ ripe",
- "▁r ipe",
- "▁rip e",
- "▁ri pe",
- "▁ GG",
- "▁G G",
- "SH OT",
- "der abad",
- "( edit",
- "(e dit",
- "(ed it",
- "To Left",
- "[ ]);\n",
- "[] );\n",
- "[]) ;\n",
- "▁do Get",
- "v ature",
- "va ture",
- "vat ure",
- "Ne eded",
- "Need ed",
- "▁Ch eng",
- "▁Che ng",
- "▁Chen g",
- "c ci",
- "cc i",
- "E FI",
- "EF I",
- "▁fe ud",
- "▁lu nar",
- "▁lun ar",
- ". Shape",
- ".S hape",
- ".Sh ape",
- "N obody",
- "No body",
- "_TR IGGER",
- "C y",
- "ground Color",
- "▁Rem oval",
- "( bottom",
- "(b ottom",
- "(bot tom",
- "$ msg",
- "$m sg",
- "SC II",
- "r itz",
- "ri tz",
- "rit z",
- "▁fr ente",
- "▁fre nte",
- "▁fren te",
- "▁com post",
- "▁comp ost",
- "▁compos t",
- "answer ed",
- "▁Ro dr",
- "▁Rod r",
- "_ HTML",
- "_HT ML",
- "▁sil houette",
- "▁ QUEST",
- "▁Q UEST",
- "▁QU EST",
- "▁QUE ST",
- "▁Cath edral",
- ". Comment",
- ".Com ment",
- "▁M n",
- "- network",
- "-n etwork",
- ".get File",
- ". generator",
- ".g enerator",
- ".gen erator",
- "▁ Checkout",
- "▁Check out",
- "_ zoom",
- "_z oom",
- "▁encode URIComponent",
- "_ TC",
- "_T C",
- "s om",
- "so m",
- "▁S erie",
- "▁Se rie",
- "▁Ser ie",
- "▁base URL",
- "\t run",
- "\tr un",
- "▁h uh",
- "▁hu h",
- ".selected Index",
- "▁ST AR",
- "~- ~-",
- "abcdef gh",
- ". mapping",
- ".m apping",
- ".map ping",
- "= datetime",
- "=d atetime",
- "=date time",
- "C ool",
- "Co ol",
- "n im",
- "ni m",
- "▁Direct ive",
- "F ederal",
- "▁menu Item",
- "An na",
- "Ann a",
- "▁Re creation",
- "▁Rec reation",
- "r yan",
- "ry an",
- "- aged",
- "-a ged",
- "-ag ed",
- "-age d",
- "zer bai",
- "c ampo",
- "cam po",
- "camp o",
- "▁mini ature",
- "det ach",
- "me aning",
- "mean ing",
- "_ emp",
- "_e mp",
- "_em p",
- "Pe ak",
- "▁b cm",
- "▁bc m",
- "▁Hung arian",
- "▁C ascade",
- "▁Cas cade",
- "▁s acks",
- "▁sa cks",
- "▁sac ks",
- "▁sack s",
- "▁tr uncate",
- "▁wh ales",
- "▁whale s",
- "▁sort able",
- "▁sor table",
- "▁ass erts",
- "▁assert s",
- "▁se als",
- "▁sea ls",
- "▁seal s",
- "ocy tes",
- "] )))\n",
- "]) ))\n",
- "])) )\n",
- "al arm",
- "ala rm",
- "alar m",
- "ress ing",
- "( signal",
- "(s ignal",
- "(sign al",
- "(sig nal",
- "▁em peror",
- "\t ON",
- "\tO N",
- "commit tee",
- "▁tr ilogy",
- "▁tri logy",
- ". Transactional",
- ".Transaction al",
- "G row",
- "Gr ow",
- "_ uart",
- "_u art",
- "▁sw ings",
- "▁swing s",
- "▁spect acle",
- "▁Sent inel",
- "▁T ou",
- "▁To u",
- "▁wid ow",
- "g erald",
- "ger ald",
- ", uint",
- ",u int",
- "▁un usually",
- "▁unus ually",
- "▁unusual ly",
- "< Card",
- ">\n\n",
- "▁> >\n\n",
- "▁>> \n\n",
- "b ower",
- "bo wer",
- "bow er",
- "▁sw apped",
- "▁swap ped",
- "/ install",
- "▁s inks",
- "▁sin ks",
- "▁sink s",
- "etr ize",
- "▁dec lines",
- "▁decl ines",
- "▁decline s",
- "\t mysql",
- "\tm ysql",
- "\tmy sql",
- "▁C String",
- "▁CS tring",
- "▁Motion Event",
- ". Language",
- ".L anguage",
- "R oad",
- "Ro ad",
- "asc imento",
- "' ))->",
- "') )->",
- "')) ->",
- ". about",
- ".ab out",
- "( editor",
- "(ed itor",
- "(edit or",
- "▁R atings",
- "▁Ra tings",
- "▁Rating s",
- "▁Rat ings",
- "in come",
- "inc ome",
- ".de queueReusableCell",
- "▁Aust rian",
- "▁Austria n",
- "▁s ulla",
- "▁su lla",
- "▁sul la",
- "▁Trib unal",
- "▁Di dn",
- "▁Did n",
- "▁ins pections",
- "▁inspect ions",
- "▁inspection s",
- "B oss",
- "Bo ss",
- "▁cock tails",
- "▁cocktail s",
- "▁apolog ized",
- "▁apologize d",
- "_ subplot",
- "_sub plot",
- "o pal",
- "op al",
- "opa l",
- "+ =(",
- "+= (",
- "▁reson ance",
- "i bu",
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- "ro ma",
- "rom a",
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- "pl s",
- "▁T ah",
- "▁Ta h",
- "ax ies",
- "O PLE",
- "OP LE",
- "▁Dar ren",
- "▁Z ombie",
- "_ Map",
- "_M ap",
- "▁ ])\n\n",
- "▁] )\n\n",
- "▁])\n \n",
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- "▁restrict ive",
- "▁eros ion",
- "- par",
- "-p ar",
- "W HITE",
- "WH ITE",
- "▁old u",
- "▁ol du",
- "▁ap erture",
- "▁bit coins",
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- "text o",
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- ".De stroy",
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- "- Pro",
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- "▁cri ses",
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- "▁y en",
- "▁ye n",
- "▁cul inary",
- "P RI",
- "PR I",
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- "_ operations",
- "_oper ations",
- "_operation s",
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- ".h s",
- "▁M ilton",
- "▁Mil ton",
- "▁no ises",
- "▁noise s",
- "▁noi ses",
- "Autoresizing Mask",
- "( cid",
- "(c id",
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- "}\n \n\n\n\n\n",
- "}\n\n \n\n\n\n",
- "}\n\n\n \n\n\n",
- "}\n\n\n\n \n\n",
- "}\n\n\n\n\n \n",
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- "▁ Detection",
- "▁D etection",
- "▁De tection",
- "▁Det ection",
- "▁Detect ion",
- "tab la",
- "▁lib erties",
- "▁libert ies",
- "▁liber ties",
- "_D YNAMIC",
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- "▁Pas cal",
- "Trans parent",
- "Del ayed",
- "Delay ed",
- "] ()",
- "]( )",
- "▁Her bert",
- "< ActionResult",
- "ch allenge",
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- "alloc ated",
- "allocate d",
- "▁conf ession",
- "▁confess ion",
- ". \",\r\n",
- ".\" ,\r\n",
- ".\", \r\n",
- "\tassert That",
- "▁S ORT",
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- "ash tra",
- "ur ator",
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- "(M SG",
- "▁t up",
- "▁tu p",
- "▁H ull",
- "▁Hu ll",
- "▁yield ed",
- ". Subject",
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- "\\ Route",
- "! ?",
- "\\ Security",
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- "- ar",
- "-a r",
- "▁alleg ation",
- "( Settings",
- "(Set tings",
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- ". refs",
- ".re fs",
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- "apt ors",
- "aptor s",
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- "▁Instrument s",
- "▁prop agate",
- "▁propag ate",
- "} ->",
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- "▁pas ado",
- "th ank",
- "tha nk",
- "than k",
- "_ Delete",
- "_De lete",
- "▁Bright on",
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- "▁aspir ations",
- "- how",
- "-h ow",
- "R ose",
- "Ro se",
- "= ((",
- "=( (",
- "_ needed",
- "_ne eded",
- "_pl ural",
- "< Application",
- " >\n\n",
- ">> \n\n",
- ">>\n \n",
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- "▁surf aced",
- "pl atz",
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- "pla tz",
- "\t email",
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- "cept ors",
- "ceptor s",
- "\" >(",
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- "NO P",
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- "Form Item",
- "_L ICENSE",
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- "▁Ag enda",
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- "A PER",
- "AP ER",
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- "▁la va",
- "▁lav a",
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- ")) ))\n\n",
- "))) )\n\n",
- "))))\n \n",
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- "▁fault y",
- "_ nm",
- "_n m",
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- "▁tra va",
- "▁trav a",
- "( Bitmap",
- "(B itmap",
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- "▁speed ing",
- "> ').",
- ">' ).",
- "▁screen ed",
- "▁scre ened",
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- "P ure",
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- ".run ning",
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- "▁fract ure",
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- ". Meta",
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- ".Me ta",
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- ".Key Event",
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- "_ macro",
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- "( horizontal",
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- "▁evening s",
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- ".Get Data",
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- "▁Manual s",
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- "_ Max",
- "_M ax",
- ". Chat",
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- ".Ch at",
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- "F OUND",
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- "a pro",
- "ap ro",
- "apr o",
- "▁tre asures",
- "▁treasure s",
- "_ alive",
- "_a live",
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- "▁g adget",
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- "ek ing",
- "Button Down",
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- ".PER MISSION",
- "P ASSWORD",
- "PASS WORD",
- "▁H ASH",
- "▁HAS H",
- "▁HA SH",
- "\\ TestCase",
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- "LO SS",
- "LOS S",
- "o thers",
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- ", J",
- "▁ass hole",
- "▁assh ole",
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- "▁T rees",
- "▁Tr ees",
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- "▁b umper",
- "▁bump er",
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- "Im mutable",
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- "▁lo ser",
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- "- demo",
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- "-de mo",
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- "- call",
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- "_ returns",
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- "'] .\"'",
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- "'].\" '",
- "( sw",
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- "C BS",
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- "可 以",
- "am ilies",
- "ami lies",
- "amil ies",
- "一 个",
- "▁Your self",
- "我 们",
- "▁H olt",
- "▁Hol t",
- "▁Ho lt",
- ". MON",
- ".M ON",
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- "点 击",
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- "an on",
- "ano n",
- "方 法",
- "▁ FontAwesome",
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- "时 候",
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- "▁magn a",
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- "RGB A",
- "RG BA",
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- "Ve n",
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- "\">\n\n \n",
- ".wait Key",
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- "Bus y",
- "Bu sy",
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- "▁different iation",
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- "▁C ST",
- "▁CS T",
- "公 司",
- ". Constant",
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- "▁line Number",
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- "( matches",
- "(m atches",
- "(match es",
- "(mat ches",
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- "▁web socket",
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- "M ono",
- "Mon o",
- "Mo no",
- "手 机",
- "C ORE",
- "CO RE",
- "COR E",
- "问 题",
- "I ID",
- "II D",
- "怎 么",
- "▁▁▁▁ \r\n\r\n",
- "▁▁▁ ▁\r\n\r\n",
- "▁▁▁▁\r\n \r\n",
- "还 是",
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- "lean ing",
- "进 入",
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- "▁Devil s",
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- "unta ry",
- "的 一",
- ". );\n",
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- "原 料",
- "[ curr",
- "[c urr",
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- "第 一",
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- "▁Wat t",
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- "▁slo pes",
- "▁slope s",
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- "功 能",
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- "▁dou bling",
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- "分 钟",
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- "▁jeune s",
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- "▁i ps",
- "▁ip s",
- "学 习",
- "_f raction",
- "_fr action",
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- "&& (",
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- "▁stu nt",
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- "'); ?>",
- "');?> ",
- "出 来",
- "▁L iga",
- "▁Li ga",
- "发 展",
- "情 况",
- "Assign able",
- "▁work around",
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- "就可 以",
- "▁s pur",
- "▁sp ur",
- "▁sl ew",
- "▁sle w",
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- "_ GE",
- "_G E",
- "下 面",
- "▁Agricult ural",
- "技 术",
- "▁relent less",
- "设 计",
- "( Query",
- "你 的",
- "▁ Sections",
- "▁S ections",
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- "▁Section s",
- "▁review ers",
- "▁reviewer s",
- "R ain",
- "Ra in",
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- "d lg",
- "dl g",
- "一 般",
- "assert False",
- "软 件",
- "▁nomine es",
- "▁nomin ees",
- "▁nominee s",
- "电 脑",
- "__ ).",
- "__) .",
- "真 的",
- ". dynamic",
- ".d ynamic",
- "▁P BS",
- "▁PB S",
- "Ch anging",
- "Chan ging",
- "发 现",
- "▁slight est",
- "出 现",
- "▁M ang",
- "▁Man g",
- "▁Ma ng",
- "重 要",
- "} >\r\n",
- "}> \r\n",
- "加 入",
- "▁ev apor",
- "这 些",
- "b able",
- "ba ble",
- "bab le",
- "以 及",
- "▁PR ICE",
- "▁PRI CE",
- "直 接",
- "lu cent",
- "其 实",
- "▁v amp",
- "▁va mp",
- "界 面",
- "▁Techn ician",
- "所 有",
- "▁unique ness",
- "▁uniqu eness",
- "文 件",
- "M es",
- "Me s",
- "这 种",
- "ur ban",
- "urb an",
- "起 来",
- ".param etrize",
- "▁Re play",
- "▁Rep lay",
- "S essions",
- "Session s",
- "大 的",
- "em br",
- "emb r",
- "到 了",
- "-American s",
- "-Americ ans",
- "感 觉",
- "_PRO XY",
- "方 式",
- "▁p ian",
- "▁pi an",
- "介 绍",
- "▁ trie",
- "▁t rie",
- "▁tr ie",
- "▁tri e",
- "专 业",
- "▁D estructor",
- "▁De structor",
- "而 且",
- "Game State",
- "对 于",
- "▁I MF",
- "▁IM F",
- "适 量",
- "c hin",
- "ch in",
- "chi n",
- "一 样",
- "▁ porte",
- "▁p orte",
- "▁port e",
- "▁por te",
- "页 面",
- "▁S wal",
- "▁Sw al",
- "为 了",
- "国 家",
- "Sub string",
- "的 话",
- "i ming",
- "im ing",
- "imi ng",
- "imin g",
- "希 望",
- "/ Library",
- "/L ibrary",
- "数 据",
- "▁fright ened",
- "一 直",
- "w rites",
- "write s",
- "wr ites",
- "首 先",
- "▁rec ursos",
- "▁recurs os",
- "了 一",
- "ar Result",
- "_INIT IALIZ",
- "应 该",
- "▁ Badge",
- "▁B adge",
- "▁Bad ge",
- "提 供",
- "_c rc",
- "_cr c",
- "所 示",
- "E ight",
- "同 时",
- "▁DIST INCT",
- "基 本",
- "▁th ro",
- "▁thr o",
- "公 里",
- "@ Xml",
- "效 果",
- "▁Legend ary",
- "这 里",
- "- twitter",
- "-t witter",
- "教 育",
- "_ easy",
- "_e asy",
- "如 下",
- "▁+ ++",
- "▁++ +",
- "输 入",
- "( DATA",
- "(D ATA",
- "学 校",
- ". Locale",
- ".L ocale",
- ".Local e",
- "一 点",
- "其 中",
- "▁n urt",
- "▁nu rt",
- "▁nur t",
- "经 验",
- "▁cr uis",
- "▁cru is",
- "_ ios",
- "_i os",
- "_io s",
- "▁s ensing",
- "▁sens ing",
- "帮 助",
- "_ Line",
- "_L ine",
- "中 心",
- "\n ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "安 全",
- "p ong",
- "pon g",
- "po ng",
- "根 据",
- "ole on",
- "▁wild card",
- "面 的",
- "▁beg ging",
- "获 得",
- "R od",
- "Ro d",
- "选 项",
- "图 所示",
- "_C ELL",
- "特 别",
- "Research ers",
- "作 品",
- ". selector",
- ".se lector",
- ".select or",
- "一 次",
- "_ ing",
- "_in g",
- "_i ng",
- "▁aspir ing",
- "今 天",
- "▁imm ortal",
- "作 为",
- "▁y min",
- "也 不",
- "_ robot",
- "_r obot",
- "_ro bot",
- "社 会",
- "▁pl ur",
- "B TC",
- "BT C",
- "能 力",
- "▁D ID",
- "▁DI D",
- "▁pier cing",
- "就 会",
- "* u",
- "影 响",
- "_ DEFINED",
- "_DEF INED",
- "_DEFIN ED",
- "_DEFINE D",
- "简 单",
- "▁T hi",
- "▁Th i",
- "地 方",
- "it aire",
- "ita ire",
- "东 西",
- "( media",
- "(m edia",
- "(me dia",
- "放 入",
- "- ons",
- "-on s",
- "-o ns",
- "容 易",
- "▁ch efs",
- "▁che fs",
- "▁chef s",
- "第 三",
- "▁\" *.",
- "▁\"* .",
- "网 络",
- "/ AP",
- "/A P",
- "市 场",
- "▁r azor",
- "▁raz or",
- "人 民",
- "▁search Data",
- "活 动",
- "▁ =&",
- "▁= &",
- "能 够",
- "学 生",
- "▁m ourn",
- "▁mo urn",
- "▁mou rn",
- "的 小",
- "t ingham",
- "ting ham",
- "▁ oli",
- "▁o li",
- "▁ol i",
- "位 置",
- "▁Ver non",
- "▁Vern on",
- "视 频",
- "_ RS",
- "_R S",
- "人 口",
- "两 个",
- "不 过",
- "an gen",
- "ang en",
- "ange n",
- "ce lain",
- "cel ain",
- "成 功",
- "▁ ail",
- "▁a il",
- "▁ai l",
- "文 化",
- "l est",
- "le st",
- "les t",
- "经 济",
- "▁Q COMPARE",
- "要 求",
- "g ain",
- "ga in",
- "他 的",
- "以 后",
- "▁K ob",
- "▁Ko b",
- "各 种",
- "▁ Fault",
- "▁F ault",
- "▁Fa ult",
- "_ configs",
- "_config s",
- "_conf igs",
- "小 编",
- "只 是",
- ". +",
- "下 来",
- "c alar",
- "ca lar",
- "cal ar",
- "( colors",
- "(color s",
- "(col ors",
- "准 备",
- "M ul",
- "Mu l",
- "项 目",
- "_ ART",
- "_A RT",
- "_AR T",
- "▁experiment ing",
- "支 持",
- "er men",
- "erm en",
- "事 情",
- "▁Ang lo",
- "图 片",
- ".Fixed Single",
- "过 程",
- "S ea",
- "Se a",
- "▁c txt",
- "▁ctx t",
- "▁ct xt",
- "包 括",
- ". slider",
- ".s lider",
- ".sl ider",
- ".slide r",
- "安 装",
- "C ollapse",
- "Coll apse",
- "G rey",
- "Gr ey",
- "▁ fld",
- "▁f ld",
- "▁fl d",
- "只 有",
- "- proof",
- "-pro of",
- "这 是",
- ". capacity",
- ".cap acity",
- "关 系",
- "get Parent",
- "▁Com pliance",
- "分 享",
- "▁bur gl",
- "▁burg l",
- "运 动",
- "- rec",
- "-r ec",
- "-re c",
- "环 境",
- "▁over written",
- "虽 然",
- "M U",
- "之 前",
- "▁ro uters",
- "▁route rs",
- "▁rout ers",
- "▁router s",
- "▁rou ters",
- "成 为",
- "\t Model",
- "\tM odel",
- "微 信",
- "▁fantas ies",
- "应 用",
- "av ian",
- "avi an",
- "avia n",
- "_ prec",
- "_p rec",
- "_pr ec",
- "_pre c",
- "不 知道",
- "不知 道",
- "▁Sc andin",
- "控 制",
- "▁// <",
- "▁/ /<",
- "来 说",
- "/ oct",
- "/o ct",
- "按 钮",
- "▁ceremon ies",
- "日 本",
- "Mon ths",
- "Month s",
- "Mont hs",
- "简 介",
- "un dy",
- "und y",
- "平 方",
- "▁qu ed",
- "▁que d",
- "▁q ued",
- "显 示",
- "▁N ou",
- "▁No u",
- "美 国",
- "▁V ibr",
- "▁Vi br",
- "当 时",
- ". rgb",
- ".r gb",
- "这 么",
- "▁cit rus",
- "▁br aces",
- "▁bra ces",
- "▁brace s",
- "老 师",
- "-upper case",
- "城 市",
- "get Table",
- "▁d opo",
- "▁do po",
- "▁dop o",
- "目 前",
- "▁K err",
- "▁Ke rr",
- "▁Ker r",
- "政 府",
- "_CH ILD",
- "左 右",
- "- cloud",
- "-c loud",
- "-cl oud",
- "后 来",
- "\t Matrix",
- "\tM atrix",
- "别 人",
- "▁garden ing",
- "▁gard ening",
- "处 理",
- "S ing",
- "Si ng",
- "Sin g",
- "结 果",
- "al most",
- "alm ost",
- "Require ments",
- "代 表",
- "ugu ay",
- "方 面",
- "( Property",
- "(P roperty",
- "制 作",
- "sub scriber",
- "subscribe r",
- "了 解",
- "F AST",
- "FA ST",
- "那 个",
- "re action",
- "react ion",
- "rea ction",
- "更 多",
- "( lp",
- "(l p",
- "用 户",
- ") })\n",
- ")} )\n",
- "每 天",
- "` ).",
- "`) .",
- "有 一",
- ". wallet",
- ".w allet",
- "也 可以",
- "也可 以",
- "_ exchange",
- "_ex change",
- "工 程",
- ". Maximum",
- ".Max imum",
- "▁V erb",
- "▁Ver b",
- "▁Ve rb",
- "以 上",
- "身 体",
- "( )<",
- "() <",
- "健 康",
- "R OT",
- "RO T",
- "北 京",
- "C ARD",
- "CA RD",
- "CAR D",
- "类 型",
- "u bit",
- "ub it",
- "ubi t",
- "{ @",
- "看 看",
- "_ kel",
- "_k el",
- "_ke l",
- "自 然",
- "▁ Tooltip",
- "▁To oltip",
- "▁Tool tip",
- "的 一个",
- "的一 个",
- "My SQL",
- "因 此",
- "Main Activity",
- "比 如",
- "a rf",
- "ar f",
- "想 要",
- "▁m align",
- "▁mal ign",
- "相 关",
- "▁se inen",
- "▁sein en",
- "▁seine n",
- "▁sei nen",
- "作 用",
- "ap ist",
- "api st",
- "apis t",
- "发 生",
- "▁< %",
- "模 式",
- "Method Impl",
- "M il",
- "Mi l",
- "继 续",
- "▁M ick",
- "▁Mi ck",
- "▁Mic k",
- "当 然",
- ". depend",
- ".d epend",
- ".de pend",
- "解 决",
- "< ID",
- " >&",
- ">> &",
- "下 载",
- "\t ok",
- "\to k",
- "出 的",
- "- low",
- "-l ow",
- "-lo w",
- "经 常",
- ". usuario",
- ".us uario",
- "增 加",
- "n ested",
- "ne sted",
- "nes ted",
- "nest ed",
- "合 作",
- "X B",
- "标 准",
- "OUR S",
- "OU RS",
- "由 于",
- ".Border Color",
- "平 台",
- "▁b row",
- "▁br ow",
- "▁bro w",
- "保 护",
- "位 于",
- "c orr",
- "co rr",
- "cor r",
- "才 能",
- "▁Red skins",
- "▁Reds kins",
- "任 务",
- ".get Tag",
- ".get Transaction",
- "▁st igma",
- "甚 至",
- "har dt",
- "hard t",
- "国 际",
- "▁Player Prefs",
- "有 些",
- "al sy",
- "als y",
- "颜 色",
- "uc son",
- "ucs on",
- "存 在",
- "L anguages",
- "Language s",
- "▁Ol ivia",
- "建 议",
- "▁t ac",
- "▁ta c",
- "▁b li",
- "▁bl i",
- "食 材",
- "▁c aval",
- "▁ca val",
- "▁cav al",
- "基 础",
- "▁consolid ated",
- "任 何",
- "▁per il",
- "▁pe ril",
- "▁peri l",
- "科 学",
- "▁d ele",
- "▁de le",
- "▁del e",
- "品 牌",
- "▁form ulated",
- "▁formula ted",
- "提 高",
- "▁high ways",
- "▁highway s",
- "分 析",
- ". spawn",
- ".sp awn",
- "只 要",
- "= =$",
- "== $",
- "知 识",
- "▁N iet",
- "▁Ni et",
- "▁Nie t",
- "毕 业",
- "▁v eggies",
- "y po",
- "yp o",
- "我 们的",
- "我们 的",
- "- rule",
- "-r ule",
- "小 说",
- "▁V ie",
- "▁Vi e",
- "来 的",
- "/e pl",
- "不 好",
- "▁enf ants",
- "医 院",
- "string Literal",
- "必 须",
- "▁tough est",
- "▁tou ghest",
- "关 注",
- "bu yer",
- "buy er",
- "上 海",
- "▁cov ariance",
- "面 积",
- "▁ ili",
- "▁i li",
- "▁il i",
- "组 织",
- "▁Soph ie",
- "具 体",
- "▁B AB",
- "▁BA B",
- "你 们",
- "▁ \"),",
- "▁\" ),",
- "▁\") ,",
- "技 能",
- "▁U k",
- "家 庭",
- "current Index",
- "投 资",
- "_ userdata",
- "_user data",
- "这 一",
- ". codec",
- ".co dec",
- ".code c",
- ".cod ec",
- "作 者",
- "▁Pun jab",
- "客 户",
- "▁S NP",
- "▁SN P",
- "我 就",
- "l ol",
- "lo l",
- "导 致",
- "adv ance",
- "版 本",
- "▁com fy",
- "Json Ignore",
- "菜 单",
- "▁fashion able",
- "完 全",
- "▁ ICON",
- "▁I CON",
- "▁IC ON",
- "▁ICO N",
- "▁ ora",
- "▁o ra",
- "▁or a",
- "电 影",
- "▁P ricing",
- "▁Pr icing",
- "▁Pri cing",
- "出 版",
- "< num",
- " E",
- "故 事",
- "t ering",
- "ter ing",
- "te ring",
- "系 列",
- "/ screens",
- "/s creens",
- "行 政",
- "▁height ened",
- "是 在",
- "Author ities",
- "文 字",
- "_ bbox",
- "_b box",
- "_bb ox",
- "人 物",
- "调 整",
- ". fontSize",
- ".font Size",
- "表 示",
- "▁BO OLEAN",
- "好 了",
- "div ide",
- "di vide",
- "用 的",
- "▁Sl oven",
- "▁Slo ven",
- "里 的",
- "u cer",
- "uc er",
- "uce r",
- "只 能",
- "条 件",
- "st ub",
- "stu b",
- "推 荐",
- "▁navig ating",
- ": animated",
- "一 步",
- "_ NOW",
- "_N OW",
- "_NO W",
- "图 标",
- "_v ect",
- "_vec t",
- "普 通",
- "} {\n",
- "}{ \n",
- "@ (",
- "也 会",
- "▁tele com",
- "一 个人",
- "一个 人",
- "▁contract ing",
- "▁contr acting",
- "造 成",
- "▁Ass ange",
- "第 四",
- "▁extract ing",
- "▁extr acting",
- "均 匀",
- "都 不",
- "c obra",
- "co bra",
- "放 在",
- ". DIS",
- ".D IS",
- "让 我",
- "▁c rab",
- "▁cr ab",
- "▁cra b",
- "计 算",
- "▁t witch",
- "▁tw itch",
- "方 便",
- "▁ verts",
- "▁v erts",
- "▁ver ts",
- "▁vert s",
- "最 好",
- "▁reject s",
- "拥 有",
- "\t format",
- "\tfor mat",
- "\tform at",
- "委 员",
- "▁reg eneration",
- "银 行",
- ". Sys",
- ".S ys",
- "利 用",
- "s olve",
- "sol ve",
- "香 港",
- "\t dialog",
- "\td ialog",
- "快 速",
- "s hi",
- "sh i",
- "女 生",
- "m eter",
- "me ter",
- "met er",
- "( best",
- "(b est",
- "目 标",
- "valid ators",
- "validator s",
- "▁on wards",
- "如 图所示",
- "如图 所示",
- "▁g uru",
- "▁gu ru",
- "▁mod erator",
- "▁moder ator",
- "那 些",
- "ow ied",
- "owie d",
- "接 着",
- "ex periment",
- "属 于",
- "r ub",
- "ru b",
- "有限 公司",
- "▁m qtt",
- "▁Ca ucas",
- "玩 家",
- "▁national ism",
- "艺 术",
- "▁m ange",
- "▁man ge",
- "▁mang e",
- "倒 入",
- "\t ImGui",
- "考 试",
- "/ Edit",
- "/E dit",
- "搜 索",
- "▁ inh",
- "▁in h",
- "▁i nh",
- "有 效",
- "▁int ellig",
- "▁intel lig",
- "产 生",
- "ero kee",
- "\t export",
- "\tex port",
- "\texp ort",
- "▁discrim inate",
- "▁discrimin ate",
- "方 向",
- "sub tract",
- "告 诉",
- "▁M oodle",
- "的 地方",
- "的地 方",
- "en ser",
- "ens er",
- "ense r",
- "不 断",
- "▁Gu ides",
- "▁Guid es",
- "▁Guide s",
- "▁Gui des",
- "给 我",
- "R AP",
- "RA P",
- "结 构",
- "- hot",
- "-h ot",
- "更 加",
- "_ grp",
- "_g rp",
- "_gr p",
- "如 图",
- ". picture",
- ".p icture",
- ".pic ture",
- "不 仅",
- "X A",
- "▁init View",
- "资 源",
- "_ Comm",
- "_C omm",
- "_Com m",
- "▁overd ose",
- "有 点",
- "▁ +\n\n",
- "▁+ \n\n",
- "▁+\n \n",
- "遇 到",
- "▁Sil ent",
- "政 治",
- "sh ows",
- "show s",
- "编 辑",
- "▁inter polate",
- "▁interpol ate",
- "▁interp olate",
- "Form ation",
- "Format ion",
- "关 于",
- "▁b isc",
- "▁bi sc",
- "▁bis c",
- "如 下图所示",
- "如下 图所示",
- "如下图 所示",
- "mark ets",
- "market s",
- "全 部",
- "( SC",
- "(S C",
- "查 看",
- "Z e",
- "鸡 蛋",
- "▁Network ing",
- "▁Net working",
- "另 外",
- "▁ad renal",
- "形 成",
- "▁G uns",
- "▁Gu ns",
- "▁Gun s",
- "et eor",
- "ete or",
- "有 人",
- "Decl ared",
- "不 可",
- "orge town",
- "orget own",
- "▁k arena",
- "▁ka rena",
- "▁kar ena",
- "是 我",
- "/ password",
- "/p assword",
- "提 升",
- "_ addresses",
- "_add resses",
- "_address es",
- "交 通",
- "ITE RAL",
- "ITER AL",
- "下 的",
- "B uzz",
- "Bu zz",
- "▁Con way",
- "( case",
- "(c ase",
- "P WD",
- "网 站",
- "he iro",
- "hei ro",
- "收 入",
- "( act",
- "(a ct",
- "(ac t",
- "价 值",
- "* *\r\n",
- "** \r\n",
- "英 雄",
- "( ));\n\n\n",
- "() );\n\n\n",
- "());\n \n\n",
- "()) ;\n\n\n",
- "());\n\n \n",
- "()); \n\n\n",
- "位 於",
- "▁a nv",
- "▁an v",
- "我 是",
- "▁ ..\n\n",
- "▁. .\n\n",
- "▁.. \n\n",
- "▁..\n \n",
- "多 的",
- "( MenuItem",
- "(Menu Item",
- "家 里",
- "( mail",
- "(m ail",
- "不 错",
- "_ sections",
- "_s ections",
- "_se ctions",
- "_section s",
- "色 的",
- "\t net",
- "\tn et",
- "▁pl ut",
- "性 的",
- "▁w rench",
- "▁wr ench",
- "多 少",
- "/ object",
- "/o bject",
- "主 任",
- "▁I st",
- "▁Is t",
- "晚 上",
- "▁ VIS",
- "▁V IS",
- "▁VI S",
- "成 立",
- "/ pub",
- "/p ub",
- "al ten",
- "alt en",
- "的 方法",
- "▁guitar s",
- "▁guit ars",
- "采 用",
- "▁antib iotic",
- "▁antibiot ic",
- "国 内",
- "需 求",
- "▁\" +\"",
- "▁\"+ \"",
- "申 请",
- "form ula",
- "▁ba bes",
- "▁bab es",
- "▁babe s",
- "平方 公里",
- "▁ Prompt",
- "▁P rompt",
- "▁Prom pt",
- "百 度",
- "▁e nim",
- "▁en im",
- "相 信",
- "/ player",
- "/p layer",
- "/pl ayer",
- "去 了",
- "\t ref",
- "\tr ef",
- "\tre f",
- "消 费",
- "▁cons umes",
- "▁consum es",
- "▁consume s",
- "营 养",
- "▁H ast",
- "▁Has t",
- "▁Ha st",
- "干 净",
- "▁T ao",
- "▁Ta o",
- "越 来",
- "▁ '))\n",
- "▁' ))\n",
- "▁') )\n",
- "食 物",
- "▁c lam",
- "▁cl am",
- "出 了",
- "▁thigh s",
- "她 的",
- "▁mot if",
- "如果 你",
- "Api Operation",
- "接 受",
- "▁ WL",
- "▁W L",
- "那 种",
- "get C",
- "实 际",
- "\t flags",
- "\tf lags",
- "\tflag s",
- "精 神",
- "oint ments",
- "ointment s",
- "越来 越",
- "▁economic al",
- "▁econom ical",
- "角 的",
- "need le",
- "给 大家",
- "x ls",
- "xl s",
- "pr actice",
- "ut zer",
- "utz er",
- "坚 持",
- "time ofday",
- "在 一起",
- "在一 起",
- "- output",
- "-out put",
- "密 码",
- "▁find ById",
- "▁findBy Id",
- "丰 富",
- "▁B uddy",
- "▁Budd y",
- "▁Bu ddy",
- "▁Bud dy",
- "每 个",
- "达 到",
- "S even",
- "Se ven",
- "电 子",
- "▁B ark",
- "▁Bar k",
- "▁Ba rk",
- "▁env oy",
- "_ algorithm",
- "_al gorithm",
- "会 有",
- "▁ball istic",
- "习 惯",
- "保 存",
- "r ades",
- "ra des",
- "rad es",
- "rade s",
- "按 照",
- "\t doc",
- "\td oc",
- "\tdo c",
- "汽 车",
- "rodu cing",
- "rod ucing",
- "哈 哈",
- "▁E ating",
- "▁Eat ing",
- "Un mount",
- "很 多人",
- "很多 人",
- "/data Tables",
- "窗 口",
- "_ bonus",
- "_b onus",
- "对 方",
- "▁l itt",
- "▁li tt",
- "▁lit t",
- "计 划",
- "p ps",
- "pp s",
- "购 买",
- ") localObject",
- "文 章",
- "pe rf",
- "per f",
- "子 的",
- "▁ Helvetica",
- "▁Hel vetica",
- "移 动",
- "sh utdown",
- "说 明",
- "/ ml",
- "/m l",
- "语 言",
- ". tokens",
- ".t okens",
- ".token s",
- "▁Hard core",
- "资 料",
- ", row",
- ",r ow",
- "决 定",
- "/ bg",
- "/b g",
- "不同 的",
- "Sc aler",
- "Scale r",
- "表 现",
- "联 系",
- "_log its",
- "大 概",
- "不 了",
- "\t App",
- "\tA pp",
- "距 离",
- "Impl icit",
- "Imp licit",
- "不 用",
- ".F printf",
- "可 是",
- "E TO",
- "ET O",
- "▁ terra",
- "▁t erra",
- "▁ter ra",
- "▁terr a",
- "▁possess ing",
- "改 变",
- ".r strip",
- ".rs trip",
- "关 键",
- ", ),",
- ",) ,",
- "检 查",
- "= yes",
- "=y es",
- "的 问题",
- "▁St ripe",
- "▁Str ipe",
- "▁Strip e",
- "照 片",
- "? =",
- "提 示",
- "ne utral",
- "背 景",
- ". good",
- ".g ood",
- ".go od",
- "记 得",
- "▁k ennen",
- "▁ke nnen",
- "▁ken nen",
- "区 域",
- "▁S ung",
- "▁Sun g",
- "▁Su ng",
- "鼠 标",
- "f ault",
- "fa ult",
- "等 等",
- "ystate change",
- "以 前",
- "Can adian",
- "上 面",
- "',' \".$",
- "登 录",
- "▁M its",
- "▁Mi ts",
- "▁Mit s",
- "用 于",
- "二 十",
- "▁ STRUCT",
- "▁STR UCT",
- "水 平",
- "▁URL WithString",
- "职 业",
- "▁Com pass",
- "▁Comp ass",
- "机 构",
- "▁ --\n\n",
- "▁- -\n\n",
- "▁-- \n\n",
- "▁--\n \n",
- "范 围",
- "▁NS LayoutConstraint",
- "免 费",
- "| min",
- "女 性",
- "- adjust",
- "-ad just",
- "经 历",
- "▁re built",
- "▁reb uilt",
- "三 个",
- "L IGHT",
- "衣 服",
- "/ se",
- "/s e",
- "人 们",
- "- mount",
- "-m ount",
- "v pn",
- "vp n",
- "以 为",
- "valid ated",
- "validate d",
- "伤 害",
- "(Q Object",
- "样 的",
- "▁ign ition",
- "▁Char gers",
- "▁Charg ers",
- "▁Charge rs",
- "来 了",
- "RYPT O",
- "心 理",
- "]initWith Frame",
- "教 学",
- "▁Fl uid",
- "▁Flu id",
- "点击 右",
- "▁cad re",
- "连 接",
- "▁nom inations",
- "▁nomin ations",
- "▁nomination s",
- "过程 中",
- "Ne ill",
- "的 情况",
- "的情 况",
- "▁H ou",
- "▁Ho u",
- "速 度",
- "▁current s",
- "▁curr ents",
- "_ gene",
- "_g ene",
- "_gen e",
- "_ge ne",
- "植 物",
- "( inp",
- "(i np",
- "(in p",
- "销 售",
- "P aris",
- "Par is",
- "Pa ris",
- "避 免",
- "建 立",
- "ag gregate",
- "开 启",
- "▁ assoc",
- "▁as soc",
- "▁ass oc",
- "政 策",
- "we eted",
- "weet ed",
- "记 录",
- "er rat",
- "err at",
- "erra t",
- "旅 游",
- "▁' /',\n",
- "▁'/ ',\n",
- "▁'/' ,\n",
- "▁'/', \n",
- "f ixture",
- "fix ture",
- "的 时间",
- "的时 间",
- "▁H ighest",
- "▁High est",
- "▁Hi ghest",
- "儿 童",
- "amb ient",
- "最 近",
- "▁ chmod",
- "▁ch mod",
- "了 一个",
- "了一 个",
- "▁ conte",
- "▁c onte",
- "▁con te",
- "▁cont e",
- "▁co nte",
- "就 能",
- "▁sens ual",
- "生 命",
- "▁gar ment",
- "参 数",
- "z ers",
- "ze rs",
- "zer s",
- "每 次",
- "▁Power ed",
- "▁Pow ered",
- "领 导",
- "dom ains",
- "domain s",
- "R eward",
- "Re ward",
- "Rew ard",
- "回 答",
- "i omanip",
- "我 觉得",
- "▁cock pit",
- "比 赛",
- "out file",
- "生 的",
- "▁ builtin",
- "▁b uiltin",
- "▁built in",
- "期 间",
- "▁ins isting",
- "▁insist ing",
- "一 年",
- ". vars",
- ".v ars",
- ".var s",
- ".va rs",
- "很 好",
- "zip code",
- "突 然",
- "机 会",
- "f ails",
- "fa ils",
- "fail s",
- "浏 览",
- "▁consolid ation",
- "理 解",
- "_ oid",
- "_o id",
- "真 正",
- "Plan et",
- "Plane t",
- "许 多",
- "▁ =\",",
- "▁= \",",
- "▁=\" ,",
- "搅 拌",
- "\t el",
- "\te l",
- "肯 定",
- "UI LT",
- "UIL T",
- "英 语",
- "受 到",
- "af ari",
- "afa ri",
- "注 册",
- "▁Mc Cl",
- "▁McC l",
- "第 十",
- "T imeline",
- "Time line",
- "Tim eline",
- "的 事",
- "E sta",
- "Est a",
- "Es ta",
- "修 改",
- "▁f ram",
- "▁fr am",
- "▁fra m",
- "Y E",
- "传 统",
- "▁cere bral",
- "Of Month",
- "优 秀",
- "▁P regn",
- "▁Pre gn",
- "格 式",
- "经 过",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ \n▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁\n",
- "考 虑",
- "▁F res",
- "▁Fr es",
- "▁Fre s",
- "Appro ved",
- "成 绩",
- ". Special",
- ".S pecial",
- ".Spec ial",
- "后 的",
- "▁Prote stant",
- "▁Protest ant",
- "关 闭",
- "▁all ergy",
- "▁allerg y",
- "▁aller gy",
- "_p cm",
- "_pc m",
- "\t Copyright",
- "\tC opyright",
- "▁super Class",
- "负 责",
- "\" strconv",
- "现 代",
- "▁Moh amed",
- "高 的",
- "▁' //",
- "▁'/ /",
- "中 央",
- "Fore Color",
- "我 说",
- "Ar thur",
- "办 公",
- "▁J ungle",
- "▁Jun gle",
- "▁Jung le",
- "卫 生",
- "▁ve ins",
- "▁vein s",
- "S ad",
- "Sa d",
- "行 为",
- "▁back ups",
- "▁backup s",
- "是 不是",
- "是不 是",
- "▁Op inion",
- "慢 慢",
- "重 点",
- "▁inter mitt",
- "综 合",
- "o dyn",
- "od yn",
- "ody n",
- "保 证",
- "▁Christ ina",
- "名 称",
- "▁and re",
- "整 个",
- "▁evac uation",
- "的 事情",
- "的事 情",
- "p alette",
- "pa lette",
- "pal ette",
- "患 者",
- "h orse",
- "hor se",
- "意 思",
- "▁Res ident",
- "随 着",
- "▁Has san",
- "▁Hass an",
- "还 可以",
- "还可 以",
- ". Nil",
- ".N il",
- "时 代",
- "▁a isle",
- "经 营",
- "▁G rowing",
- "▁Gr owing",
- "▁Gro wing",
- "▁Grow ing",
- "▁blog info",
- "第 五",
- "/ sql",
- "/s ql",
- "大 小",
- "_io ctl",
- "学 会",
- "Sc aling",
- "▁Mon ad",
- "不 想",
- "_ cpp",
- "_c pp",
- "_cp p",
- "运 行",
- "▁H utch",
- "高 中",
- "▁Apple WebKit",
- "压 力",
- "Exp ense",
- "认 识",
- "_J OB",
- "_JO B",
- "业 务",
- "▁point less",
- "不 得",
- "From Body",
- "量 的",
- "an tal",
- "ant al",
- "anta l",
- "我 也",
- "▁depict ing",
- "第 一次",
- "第一 次",
- "▁C ELL",
- "▁CE LL",
- "变 化",
- "▁re fin",
- "▁ref in",
- "自 由",
- "▁C NC",
- "▁CN C",
- "一 天",
- "中 间",
- "_ dimensions",
- "_dim ensions",
- "_dimension s",
- "消 息",
- "▁S AN",
- "▁SA N",
- "尤 其",
- "▁a ft",
- "▁af t",
- "▁foot steps",
- "智 能",
- "cc oli",
- "cco li",
- "发 布",
- "_PH ONE",
- "地 址",
- "/ math",
- "/m ath",
- "重 新",
- "- kind",
- "-k ind",
- "▁Me ans",
- "▁Mean s",
- "接 下来",
- "ich ael",
- "icha el",
- "办 法",
- ". guna",
- ".g una",
- "我们 可以",
- "▁inaug uration",
- "成 了",
- "-dr iving",
- "高 度",
- "( delete",
- "(de lete",
- "(del ete",
- "▁total Count",
- "搭 配",
- "_ MC",
- "_M C",
- ". Extension",
- ".Ext ension",
- "有 一个",
- "有一 个",
- "Com mercial",
- "Comm ercial",
- "男 人",
- "▁z Index",
- "恢 复",
- "< Customer",
- "$",
- "\"> $",
- "怎 样",
- "▁e bay",
- "▁eb ay",
- "形 式",
- "▁c aptive",
- "▁ca ptive",
- "▁capt ive",
- "共 同",
- "pl iant",
- "家 长",
- "▁Calculate s",
- "▁Calcul ates",
- "▁Calc ulates",
- "ol ta",
- "olt a",
- "目 录",
- "es ting",
- "est ing",
- "esti ng",
- "_ revision",
- "_re vision",
- "_rev ision",
- "领 域",
- "+ m",
- "\",\" \",\"",
- "表 面",
- "WH AT",
- "有 个",
- "▁compassion ate",
- "攻 击",
- "h arga",
- "har ga",
- "执 行",
- "[ random",
- "[r andom",
- "集 团",
- "▁mod ulo",
- "主 义",
- "( sn",
- "(s n",
- "答 案",
- "▁occup ations",
- "▁occupation s",
- "我 想",
- "/ ///\n",
- "// //\n",
- "//// \n",
- "/// /\n",
- "大 部分",
- "\t board",
- "\tb oard",
- "共 和",
- "▁B alk",
- "▁Ba lk",
- "▁Bal k",
- "特 点",
- "成 长",
- "▁W ifi",
- "▁Wi fi",
- "声 音",
- ". Profile",
- ".Pro file",
- "插 入",
- ":m aj",
- "三 年",
- "\t mat",
- "\tm at",
- "LOCK S",
- "LOC KS",
- "让 你",
- "(j Button",
- "欢 迎",
- "▁ ('$",
- "▁( '$",
- "▁(' $",
- "书 记",
- "M ur",
- "Mu r",
- "另 一",
- "是 个",
- "b ble",
- "bb le",
- "曾 经",
- "▁f rog",
- "▁fr og",
- "▁fro g",
- "风 格",
- "- hide",
- "-h ide",
- "年 代",
- "▁broad caster",
- "▁broadcast er",
- "反 应",
- "正 确",
- "h aled",
- "ha led",
- "hal ed",
- "加 上",
- "▁am using",
- "感 情",
- "_pre dictions",
- "_pred ictions",
- "_predict ions",
- "_prediction s",
- "表 格",
- "_ intr",
- "_in tr",
- "_int r",
- "兴 趣",
- "▁e agle",
- "▁ea gle",
- "▁get List",
- "看 着",
- "ps ilon",
- "psi lon",
- "人 生",
- "▁character ization",
- "变 得",
- "AR DS",
- "ARD S",
- "升 级",
- "▁re location",
- "▁rel ocation",
- "然 后点击",
- "然后 点击",
- "▁r ulers",
- "▁rule rs",
- "▁ru lers",
- "▁ruler s",
- "P AY",
- "PA Y",
- "过 的",
- "▁Def initely",
- "都 在",
- "_ Action",
- "_A ction",
- "_Act ion",
- "进 去",
- "▁c losures",
- "▁clos ures",
- "▁closure s",
- "法 律",
- "▁f actual",
- "▁fact ual",
- "类 的",
- "o dynamic",
- "od ynamic",
- "odyn amic",
- "▁preca utions",
- "一 切",
- "n iej",
- "ni ej",
- "nie j",
- "中 文",
- "▁Part ies",
- "▁Par ties",
- "组 成",
- "▁Sub aru",
- "是 什么",
- "▁cous ins",
- "▁cousin s",
- "有 了",
- "ar beit",
- "有 时候",
- "有时 候",
- ". money",
- ".m oney",
- ".mo ney",
- ".mon ey",
- "属 性",
- "g unta",
- "gun ta",
- "辣 椒",
- "( and",
- "(a nd",
- "(an d",
- "培 训",
- "get item",
- "教 师",
- ".Style Priority",
- "参 与",
- "▁s lid",
- "▁sl id",
- "我 妈",
- "single ton",
- "然 而",
- "▁g arn",
- "▁gar n",
- "▁ga rn",
- "高 级",
- "▁P AS",
- "▁PA S",
- "阶 段",
- "▁d azz",
- "▁da zz",
- "设 施",
- "小 学",
- "▁bog us",
- "尽 量",
- "▁M og",
- "▁Mo g",
- "▁rival ry",
- "带 来",
- "i sol",
- "is ol",
- "iso l",
- "也 没",
- "▁land marks",
- "▁landmark s",
- "万 元",
- "B ern",
- "Be rn",
- "Ber n",
- "是 因为",
- "▁Sa chs",
- "▁Sac hs",
- "▁Sach s",
- "在 我",
- "▁ \")\n\n",
- "▁\" )\n\n",
- "▁\") \n\n",
- "▁\")\n \n",
- "对 象",
- "▁host ility",
- "面 对",
- "_m ex",
- "_me x",
- "规 划",
- "m ere",
- "mer e",
- "me re",
- "发 表",
- "M ot",
- "Mo t",
- "创 新",
- "p ictureBox",
- "picture Box",
- "会 议",
- "Def ense",
- "动 物",
- "▁affid avit",
- "有 所",
- "other wise",
- "好 像",
- ". directory",
- ".d irectory",
- ".direct ory",
- "我 不",
- "_ UnityEngine",
- "_Un ityEngine",
- "直 到",
- "- blog",
- "-b log",
- "-bl og",
- "爱 的",
- ". skin",
- ".s kin",
- ".sk in",
- "咨 询",
- "p hem",
- "ph em",
- "Ap ellido",
- "也 就是",
- "也就 是",
- "er chant",
- "洗 净",
- "[ class",
- "[c lass",
- "切 成",
- "▁ wart",
- "▁w art",
- "▁war t",
- "▁wa rt",
- "文 学",
- ". \"[",
- ".\" [",
- "平 均",
- "a leur",
- "al eur",
- "ale ur",
- "做 的",
- "/ back",
- "/b ack",
- "可以 在",
- "▁▁▁▁ \t▁▁▁",
- "▁▁▁▁\t ▁▁▁",
- "备 用",
- "▁precip itation",
- "有 很多",
- "▁ob struction",
- "▁obstruct ion",
- "家 的",
- "▁p Obj",
- "物 质",
- "▁ rupt",
- "▁r upt",
- "▁ru pt",
- "创 作",
- "UCK ET",
- "桌 面",
- "a ye",
- "ay e",
- "出 来的",
- "出来 的",
- "相 对",
- "g x",
- "最 高",
- "▁e cl",
- "▁ec l",
- "女 孩",
- "▁secre cy",
- "好 友",
- "/ Header",
- "给 你",
- "▁Le sb",
- "▁Les b",
- "▁l ei",
- "▁le i",
- "▁Bullet in",
- "根 本",
- "▁give away",
- ". Home",
- ".H ome",
- "_ ROOM",
- "_R OOM",
- "_RO OM",
- "网 上",
- "\" W",
- "思 想",
- "▁co work",
- "▁cow ork",
- "技 巧",
- "_ ra",
- "_r a",
- "持 续",
- "▁C ycling",
- "责 任",
- "▁P aw",
- "▁Pa w",
- "是 不",
- "▁pup il",
- "吃 饭",
- "/ arch",
- "/a rch",
- "广 告",
- "▁File Utils",
- "医 生",
- "实 验",
- "r sp",
- "rs p",
- "方 案",
- "▁freedom s",
- "▁freed oms",
- "来 看",
- "▁L ear",
- "▁Le ar",
- "独 立",
- "} `).",
- "}` ).",
- "浏览 器",
- "▁bow ls",
- "▁bowl s",
- "快 乐",
- "/ block",
- "/b lock",
- "回 到",
- "_ logging",
- "_log ging",
- "商 品",
- "▁meth ane",
- "▁h orns",
- "▁hor ns",
- "▁horn s",
- "性 能",
- "▁wonder fully",
- "▁wonderful ly",
- "开 心",
- "▁alter ations",
- "测 试",
- "▁ex ile",
- "l sen",
- "ls en",
- "演 员",
- "_ pause",
- "_p ause",
- "_pa use",
- "说 的",
- "_L ANGUAGE",
- "_LANG UAGE",
- "确 实",
- "▁US DA",
- "▁USD A",
- "_ mysql",
- "_m ysql",
- "_my sql",
- "媒 体",
- "_AM OUNT",
- "从 而",
- "▁L IFE",
- "▁LI FE",
- "附 近",
- "▁young sters",
- "的 朋友",
- "▁ri ots",
- "▁riot s",
- "特 色",
- "[ E",
- "▁un forgettable",
- "配 置",
- ", },\n",
- "下 方",
- "Dis posed",
- "Dispose d",
- "食 品",
- "▁Ass assin",
- "大 利",
- "U NG",
- "UN G",
- "列 表",
- "▁New sp",
- "▁News p",
- "红 色",
- "User Service",
- "的 东西",
- ": aload",
- ":a load",
- "同 样",
- "+ ',",
- "+' ,",
- "保 险",
- "▁sett lers",
- "▁settle rs",
- "▁scre ams",
- "▁scream s",
- "接 口",
- "▁incon venience",
- "車 站",
- ". Rotate",
- ".R otate",
- "教 授",
- "▁j ars",
- "▁ja rs",
- "▁jar s",
- "永 远",
- "▁P uzzle",
- "▁Pu zzle",
- "联 网",
- "▁m est",
- "▁me st",
- "▁mes t",
- "ar si",
- "ars i",
- "愿 意",
- "▁Sh arma",
- "▁Shar ma",
- "我 在",
- "| (",
- ". ds",
- ".d s",
- "例 如",
- "▁Sa cred",
- "▁Sac red",
- "_ evt",
- "_e vt",
- "_ev t",
- "农 村",
- "▁exp resses",
- "▁express es",
- "想 到",
- "▁h och",
- "▁ho ch",
- "即 使",
- "▁D uch",
- "▁Du ch",
- "时 期",
- ". calls",
- ".c alls",
- ".call s",
- ".cal ls",
- "合 适",
- "t hr",
- "th r",
- "地 的",
- "▁She ffield",
- "全 球",
- ".Alert Dialog",
- "本 身",
- "▁rad ically",
- "▁radical ly",
- "做 法",
- "▁t rous",
- "▁tr ous",
- "▁tro us",
- "▁trou s",
- "正 在",
- "▁prev ailing",
- "优 势",
- "▁WW II",
- "是 最",
- "新 建",
- "ens ely",
- "ense ly",
- "回 来",
- "▁ Yesterday",
- "▁Y esterday",
- "应 的",
- "▁Sir ius",
- "也 很",
- "▁kill ers",
- "▁kil lers",
- "▁killer s",
- "情 绪",
- "▁F FT",
- "▁FF T",
- "稳 定",
- "▁ oval",
- "▁o val",
- "▁ov al",
- "不 多",
- "' ):\r\n",
- "') :\r\n",
- "'): \r\n",
- "专 家",
- "都 可以",
- "都可 以",
- "ou rage",
- "our age",
- "▁ Checkbox",
- "▁Check box",
- "Work book",
- "输 出",
- ".de fer",
- ".def er",
- "降 低",
- "_ floor",
- "_f loor",
- "_fl oor",
- "生 长",
- "▁c ouncill",
- "▁council l",
- "整 体",
- "▁nors ke",
- "mo il",
- "课 程",
- "o rea",
- "or ea",
- "ore a",
- "培 养",
- "▁mark eted",
- "▁market ed",
- "_S UR",
- "_SU R",
- "核 心",
- "x AA",
- "xA A",
- "必 要",
- "▁st ained",
- "▁sta ined",
- "▁stain ed",
- "段 时间",
- "e ut",
- "eu t",
- "变 成",
- "▁M eng",
- "▁Me ng",
- "▁Men g",
- "下 去",
- "▁i eee",
- "▁ie ee",
- "尺 寸",
- ". extern",
- ".ex tern",
- ".ext ern",
- "提 前",
- "e gie",
- "eg ie",
- "▁r app",
- "▁rap p",
- "▁ra pp",
- "句 话",
- "▁Py ongyang",
- "所 谓",
- "' class",
- "事 件",
- "M ob",
- "Mo b",
- "化 的",
- "▁initial Value",
- "积 极",
- "_ wave",
- "_w ave",
- "今 年",
- "▁ jab",
- "▁j ab",
- "▁ja b",
- "▁mascul ine",
- "▁ampl ifier",
- "训 练",
- "▁t ty",
- "▁tt y",
- "Path Component",
- "都 要",
- "_ xt",
- "_x t",
- "成 本",
- "▁G FP",
- "▁GF P",
- "华 为",
- "/ sec",
- "/s ec",
- "/se c",
- "团 队",
- "\t dispatch",
- "\tdis patch",
- "自 身",
- "mark down",
- "绝 对",
- "▁S chn",
- "▁Sc hn",
- "▁Sch n",
- "担 任",
- "b ole",
- "bo le",
- "bol e",
- "特 殊",
- "个 月",
- "mouse move",
- "弹 出",
- "▁err Msg",
- "风 险",
- "▁a sign",
- "▁as ign",
- "▁asi gn",
- "规 定",
- "_ mono",
- "_m ono",
- "_mon o",
- "就可以 了",
- "To Selector",
- "行 的",
- "▁Z u",
- "定 义",
- "( Rect",
- "(R ect",
- "来 看看",
- "来看 看",
- "▁ ErrorCode",
- "▁Error Code",
- "意 识",
- "l atin",
- "la tin",
- "lat in",
- "名 的",
- "ang ible",
- "v tk",
- "vt k",
- "面 粉",
- "CG Size",
- "世 纪",
- "P okemon",
- "本 人",
- "▁class mates",
- "面 積",
- "▁at tracts",
- "▁attr acts",
- "▁attract s",
- "金 融",
- "▁T atto",
- "部 的",
- "ul tan",
- "ult an",
- "ulta n",
- "确 认",
- "有 什么",
- "▁h alted",
- "▁hal ted",
- "▁halt ed",
- "此 时",
- "▁K art",
- "▁Kar t",
- "▁Ka rt",
- "▁ ue",
- "▁u e",
- "最 佳",
- "_Init Structure",
- "_InitStruct ure",
- "爸 爸",
- "Test Class",
- "十 二",
- "▁Air bnb",
- "哪 些",
- "_ \",",
- "_\" ,",
- "一 张",
- "▁char coal",
- "打 印",
- "▁i pc",
- "▁ip c",
- "所 在",
- "▁ Stretch",
- "▁St retch",
- "▁Str etch",
- "检 测",
- ".g lide",
- ".gl ide",
- "享 受",
- "lates AutoresizingMaskIntoConstraints",
- "本 书",
- "▁p otion",
- "▁po tion",
- "▁pot ion",
- "日 期",
- "ITT LE",
- "到 底",
- "▁count ert",
- "▁counter t",
- "接 触",
- "_ hd",
- "_h d",
- "后 面",
- "pre pared",
- "prepare d",
- "混 合",
- "A ds",
- "Ad s",
- "还 能",
- "▁V ampire",
- "法 国",
- "robot s",
- "rob ots",
- "所 有的",
- "所有 的",
- ".Create Index",
- "明 白",
- "Status Label",
- "歌 曲",
- "▁t ucked",
- "就 像",
- "U t",
- "▁swe ater",
- "▁sweat er",
- "锅 中",
- "_ FN",
- "_F N",
- "评 论",
- "▁▁▁▁ ▁▁▁▁▁▁▁▁▁▁▁▁\t",
- "▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁▁▁\t",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ \t",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁\t",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁\t",
- "▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁\t",
- "▁▁▁▁▁▁▁▁▁▁ ▁▁▁▁▁▁\t",
- "▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▁▁\t",
- "密 度",
- "at aka",
- "ata ka",
- "数 量",
- "▁eyeb rows",
- "好 看",
- "ac oes",
- "aco es",
- "支付 宝",
- "u den",
- "ud en",
- "ude n",
- "白 色",
- ".Linear LayoutManager",
- ".LinearLayout Manager",
- "往 往",
- "▁s way",
- "▁sw ay",
- "它 们",
- "▁mult in",
- "▁multi n",
- "▁mul tin",
- "他 们的",
- "他们 的",
- "( ))))\n",
- "() )))\n",
- "()) ))\n",
- "())) )\n",
- "取 得",
- "▁ NSUInteger",
- "▁NS UInteger",
- "山 东",
- "▁My Base",
- "房 子",
- "Part ner",
- "证 明",
- "uts chen",
- "utsch en",
- "utsche n",
- "几 乎",
- "▁C ater",
- "▁Ca ter",
- "▁Cat er",
- "也 许",
- ".set BackgroundColor",
- ".setBackground Color",
- "四 川",
- "▁accompl ishment",
- "▁accomplish ment",
- "装 修",
- "_ problem",
- "_pro blem",
- "_prob lem",
- "清 洗",
- ".d td",
- ".dt d",
- "民 族",
- "▁page Number",
- "很 难",
- "▁j ackets",
- "▁jack ets",
- "▁jacket s",
- "就 在",
- "▁c ropped",
- "▁cr opped",
- "▁cro pped",
- "▁crop ped",
- "合 理",
- "u els",
- "ue ls",
- "uel s",
- "▁H ep",
- "▁He p",
- "常 见",
- "▁c apped",
- "▁cap ped",
- "▁ca pped",
- "也 没有",
- "也没 有",
- "* Math",
- "*M ath",
- "通 知",
- "_callback s",
- "_call backs",
- "促 进",
- "▁p ubb",
- "▁pub b",
- "▁pu bb",
- "轻 松",
- "▁Brun swick",
- "力 的",
- ". respond",
- ".res pond",
- "针 对",
- "[ \"_",
- "[\" _",
- "海 拔",
- "▁bed ding",
- "人 家",
- "hyth m",
- "商 业",
- "O X",
- "也 要",
- "( speed",
- "(s peed",
- "(sp eed",
- "员 工",
- "▁pestic ides",
- "形 状",
- "▁ -------",
- "▁- ------",
- "▁-- -----",
- "▁---- ---",
- "▁--- ----",
- "▁----- --",
- "▁------ -",
- "州 市",
- ". Blue",
- ".Bl ue",
- "▁nood les",
- "第 六",
- "▁G oes",
- "▁Go es",
- "的 不",
- "▁s aver",
- "▁sa ver",
- "▁save r",
- "▁sav er",
- "浙 江",
- "o xy",
- "ox y",
- "_ completion",
- "_com pletion",
- "_comp letion",
- "等 待",
- "▁Sw inger",
- "▁Swing er",
- "的 主",
- "▁get Date",
- "值 得",
- "▁m inded",
- "▁min ded",
- "▁mind ed",
- "int egration",
- "小 米",
- "▁Lot us",
- "多 种",
- "( stop",
- "(s top",
- "(st op",
- "播 放",
- "(', ');\n",
- "的 新",
- "▁fl oods",
- "▁flo ods",
- "▁flood s",
- "黑 色",
- "▁Work flow",
- "都 能",
- "▁erupt ed",
- "M acro",
- "Mac ro",
- "Ma cro",
- "过 来",
- "▁Sa uce",
- "▁Sau ce",
- "牛 奶",
- "▁event Name",
- "到 的",
- "\\ Input",
- "空 气",
- "Break ing",
- "Bre aking",
- "制 造",
- "\t when",
- "\tw hen",
- "_ pw",
- "_p w",
- "内 的",
- "I NDER",
- "IN DER",
- "IND ER",
- "动 作",
- "▁Well ness",
- "道 路",
- "▁v oxel",
- "▁vox el",
- "防 止",
- "▁M ell",
- "▁Me ll",
- "▁Mel l",
- "太 多",
- "▁M EDIA",
- "▁MED IA",
- "人 体",
- "S ENS",
- "SE NS",
- "SEN S",
- "▁F unds",
- "▁Fund s",
- "▁Fun ds",
- "▁M ild",
- "▁Mil d",
- "▁Mi ld",
- "头 发",
- "< Array",
- "\n",
- "'); ?>\n",
- "');?> \n",
- "资 金",
- "▁temp ting",
- "▁tempt ing",
- "说 话",
- "▁test ament",
- "细 胞",
- "▁b ible",
- "▁bi ble",
- "▁bib le",
- "▁consult ed",
- "哪 里",
- "▁Index Error",
- "的 生活",
- "儿 子",
- "▁key pad",
- "▁ke ypad",
- "分 为",
- "i zzo",
- "iz zo",
- "izz o",
- "思 考",
- "( ok",
- "(o k",
- "查 询",
- "▁whats app",
- "单元 格",
- "▁Remote Exception",
- "高 考",
- "▁te amed",
- "▁team ed",
- "▁tea med",
- "现 实",
- "唯 一",
- "可以 看到",
- "可以看 到",
- "▁ getTime",
- "▁get Time",
- "少 年",
- "di ag",
- "dia g",
- "离 开",
- "is sy",
- "iss y",
- "她 们",
- "▁ hed",
- "▁h ed",
- "▁he d",
- "▁kn ots",
- "▁knot s",
- "太 阳",
- "j om",
- "jo m",
- "英 国",
- "▁f unnel",
- "▁fun nel",
- "这个 问题",
- "-m ails",
- "-mail s",
- "吃 的",
- "▁exp orting",
- "▁export ing",
- "▁ VL",
- "▁V L",
- "基 金",
- "▁K arn",
- "▁Kar n",
- "▁Ka rn",
- "多 年",
- "▁Buddh ism",
- "掌 握",
- "▁Al lan",
- "▁All an",
- "身 边",
- "_R ADIUS",
- "动 力",
- "▁w ording",
- "▁word ing",
- "▁wor ding",
- "▁F orget",
- "▁For get",
- "▁Forge t",
- "美 的",
- "▁Cor ona",
- "▁Coron a",
- "感 受",
- "i phy",
- "ip hy",
- "iph y",
- "看 了",
- "▁lim burg",
- "▁limb urg",
- "小 的",
- "ug gy",
- "ugg y",
- "现 象",
- "▁User Repository",
- "至 少",
- "i min",
- "im in",
- "imi n",
- "真 实",
- "( ele",
- "(e le",
- "(el e",
- "化 学",
- "▁label led",
- "▁lab elled",
- "家 人",
- "漂 亮",
- "▁H erman",
- "▁Her man",
- "▁Herm an",
- ". qq",
- ".q q",
- "全 面",
- "▁ \"));\n",
- "▁\" ));\n",
- "▁\") );\n",
- "社 区",
- "ie ber",
- "农 业",
- ". Translate",
- ".Trans late",
- "快 捷",
- "r yn",
- "ry n",
- "数 学",
- "▁des env",
- "▁dese nv",
- "绿 色",
- "u md",
- "um d",
- "收 藏",
- "Sim ply",
- "固 定",
- "\t mode",
- "\tm ode",
- "\tmod e",
- "者 的",
- "R pc",
- "Rp c",
- "一 条",
- "▁Val encia",
- "▁Vale ncia",
- "自 我",
- "▁staff ers",
- "水 果",
- "▁se lv",
- "▁sel v",
- "从 事",
- "▁Sp ike",
- "▁Spi ke",
- "相 当",
- "▁d elic",
- "▁de lic",
- "▁del ic",
- "面 团",
- "▁e ru",
- "▁er u",
- "描 述",
- "_ DT",
- "_D T",
- "称 为",
- "J udge",
- "Jud ge",
- "元 素",
- "▁B asin",
- "▁Ba sin",
- "▁Bas in",
- "超 级",
- ". mutable",
- ".m utable",
- ".mu table",
- "的 方式",
- "\" url",
- "也 就",
- "▁tar iff",
- "好 好",
- "▁Slee ve",
- "复 制",
- "▁ flare",
- "▁fl are",
- "身 上",
- ".drop out",
- "最 大的",
- "最大 的",
- "▁b rides",
- "▁br ides",
- "▁bri des",
- "▁bride s",
- "一 定的",
- "一定 的",
- ") ),\r\n",
- ")) ,\r\n",
- ")), \r\n",
- "分 类",
- "_con straints",
- "_constraint s",
- "谢 谢",
- "d estruct",
- "de struct",
- "年 龄",
- "Out line",
- "广 东",
- "▁disappe ars",
- "▁disappear s",
- "提 醒",
- "_ locked",
- "_lock ed",
- "_loc ked",
- "孩 子的",
- "孩子 的",
- "▁NS LocalizedString",
- "表 达",
- "c ke",
- "ck e",
- "河 南",
- "\t null",
- "\tn ull",
- "体 育",
- "ad resse",
- "adr esse",
- "样 子",
- "▁t opping",
- "▁to pping",
- "▁top ping",
- "▁topp ing",
- "电 池",
- "▁J oker",
- "▁Jo ker",
- "第 一个",
- "第一 个",
- "b ishop",
- "bi shop",
- "bis hop",
- "bish op",
- "怎么 办",
- "博 士",
- "and ering",
- "ander ing",
- "ande ring",
- "终 于",
- "_ amp",
- "_a mp",
- "_am p",
- "运 营",
- "= time",
- "=t ime",
- "共和 国",
- "_ Space",
- "_S pace",
- "力 量",
- "_P ULL",
- "英 文",
- "' =",
- "函 数",
- "▁ant iqu",
- "▁anti qu",
- "医 疗",
- "▁c ach",
- "▁ca ch",
- "宣 传",
- "_ __\n\n",
- "__ _\n\n",
- "___ \n\n",
- "符 合",
- "ON ES",
- "ONE S",
- "事 业",
- "▁un read",
- "▁unre ad",
- "▁unr ead",
- "大 量",
- ". policy",
- ".p olicy",
- "还 会",
- "oooo oooo",
- "在 这里",
- "在这 里",
- "▁ usted",
- "▁u sted",
- "▁us ted",
- "睡 觉",
- "▁Re ce",
- "▁Rec e",
- "的 感觉",
- "▁al lem",
- "▁all em",
- "▁alle m",
- "饮 食",
- "实 在",
- "▁Though ts",
- "▁Thought s",
- "看 见",
- "ve illance",
- "ist rate",
- "istr ate",
- "计算 机",
- "_ lane",
- "_l ane",
- "主 动",
- "▁f amed",
- "▁fam ed",
- "▁fa med",
- "▁fame d",
- "手 术",
- ". GetName",
- ".Get Name",
- "新 闻",
- "▁smooth er",
- "▁smo other",
- "安 排",
- "▁Qual ified",
- "恋 爱",
- "a zers",
- "az ers",
- "aze rs",
- "azer s",
- "地 图",
- "_ geo",
- "_g eo",
- "_ge o",
- "角 度",
- "F ax",
- "Fa x",
- "▁M inds",
- "▁Min ds",
- "▁Mind s",
- "▁ Raises",
- "▁R aises",
- "▁Ra ises",
- "▁Raise s",
- "工 资",
- "▁trans cripts",
- "▁tran scripts",
- "▁transcript s",
- "互 联网",
- "互联 网",
- "Con versation",
- "可能 是",
- "▁re marked",
- "▁rem arked",
- "▁remark ed",
- "图 层",
- "这 时",
- "d ling",
- "dl ing",
- "简 单的",
- "简单 的",
- "▁deploy ing",
- "▁shared Application",
- "▁ kp",
- "▁k p",
- "心 情",
- "FontAwesome Icon",
- "尤其 是",
- "_ dummy",
- "_d ummy",
- "很 有",
- "reib en",
- "rei ben",
- "并 不是",
- "并不 是",
- "▁Jane iro",
- "出版 社",
- "Dir ections",
- "Direction s",
- "Direct ions",
- "然 后在",
- "然后 在",
- ".get Bean",
- "获 取",
- "s ass",
- "sa ss",
- "追 求",
- "▁command ers",
- "▁commander s",
- "读 书",
- "v ation",
- "va tion",
- "vat ion",
- "吸 引",
- "error Code",
- "做 到",
- "▁Al loy",
- "▁All oy",
- "电 源",
- ".local ized",
- "生 平",
- "机 械",
- "▁dish washer",
- "▁ Soup",
- "▁S oup",
- "▁So up",
- "▁Sou p",
- "协 会",
- "N u",
- "物 理",
- "_ Default",
- "_D efault",
- "_De fault",
- "制 度",
- "▁un even",
- "▁une ven",
- "父 亲",
- "▁/ >\";\n",
- "▁/> \";\n",
- "上 一",
- "- Based",
- "-B ased",
- "德 国",
- "▁seam lessly",
- "▁seamless ly",
- "解 释",
- "- null",
- "-n ull",
- "印 度",
- "▁ XC",
- "▁X C",
- "大 多数",
- "大多 数",
- "▁st ew",
- "▁ste w",
- "生 抽",
- "( delay",
- "(d elay",
- "(de lay",
- "(del ay",
- "性 格",
- "AT ORS",
- "ATOR S",
- "ATO RS",
- "取 消",
- "▁Whe eler",
- "▁Wheel er",
- "铁 路",
- "\" ",
- "\"< ?",
- "类 似",
- "▁C handler",
- "▁Ch andler",
- "办 理",
- "▁retal iation",
- "来 源",
- "▁budd ies",
- "很 大",
- "-s izing",
- "三 角",
- "▁E ins",
- "▁Ein s",
- "不 足",
- "▁ ...,",
- "▁... ,",
- "▁.. .,",
- "每 个人",
- "每个 人",
- "qu ete",
- "que te",
- "quet e",
- "相 同",
- "▁ DOC",
- "▁D OC",
- "▁DO C",
- "都 没有",
- "都没 有",
- "▁false ly",
- "▁fals ely",
- "的 高",
- "▁fl ats",
- "▁flat s",
- "更 好",
- "NI CALL",
- "NIC ALL",
- "维 生素",
- "▁l ibr",
- "▁li br",
- "▁lib r",
- "Be Null",
- "人 类",
- "im ulation",
- "充 分",
- "\t Query",
- "体 系",
- "_ ut",
- "_u t",
- "▁pl aque",
- "▁pla que",
- "b ild",
- "bi ld",
- "bil d",
- "想 法",
- "▁scre amed",
- "▁scream ed",
- "直 播",
- ".m vc",
- "玉 米",
- ". Widget",
- ".W idget",
- "中 学",
- "▁differ ing",
- "▁diff ering",
- "联 合",
- "/ support",
- "/s upport",
- "的 位置",
- "_V OLUME",
- "说 了",
- ".node Type",
- "不 起",
- "\t Write",
- "\tW rite",
- "的 工作",
- "book mark",
- "过 了",
- "_CON N",
- "_CO NN",
- "观 察",
- "▁C reed",
- "▁Cr eed",
- "▁Cre ed",
- "是 有",
- "▁in hibition",
- "▁inhib ition",
- "周 围",
- "▁Re hab",
- "的 一种",
- "的一 种",
- "u vre",
- "uv re",
- "和 我",
- "▁d umps",
- "▁dump s",
- "ow ej",
- "owe j",
- "含 有",
- "_ placeholder",
- "_place holder",
- "症 状",
- "▁H WND",
- "▁HW ND",
- "对 你",
- "▁der mat",
- "上 角的",
- "上角 的",
- ". detach",
- ".det ach",
- "有 没有",
- "▁final ized",
- "▁finalize d",
- "费 用",
- "g eries",
- "ge ries",
- "ger ies",
- "练 习",
- "id ak",
- "ida k",
- "上 下",
- "_ prog",
- "_p rog",
- "_pro g",
- "_pr og",
- "宿 舍",
- "▁update User",
- "葡 萄",
- "l ys",
- "ly s",
- ". Google",
- ".G oogle",
- "记 忆",
- "▁l uego",
- "▁lu ego",
- "论 文",
- "▁ ants",
- "▁an ts",
- "▁ant s",
- "老 公",
- "小 火",
- "▁D RM",
- "▁DR M",
- "车 站",
- "画 出",
- "- db",
- "-d b",
- "厘 米",
- "er rick",
- "err ick",
- "他 在",
- "_ ln",
- "_l n",
- "对话 框",
- ". .\\",
- ".. \\",
- "点击 进入",
- "i kit",
- "ik it",
- "iki t",
- "几 天",
- "▁D ien",
- "▁Di en",
- "▁Die n",
- "女 儿",
- "▁param etros",
- "千 万",
- "ke ypress",
- "key press",
- "你 要",
- "▁K erala",
- "▁Ker ala",
- "三 十",
- "▁dr ained",
- "▁drain ed",
- "▁dra ined",
- "市 镇",
- "▁cap it",
- "▁ca pit",
- "生活 中",
- "_ aug",
- "_a ug",
- "深 圳",
- "t ant",
- "ta nt",
- "tan t",
- "长 的",
- "Nav Bar",
- "创 造",
- "▁ rollback",
- "▁roll back",
- "下 辖",
- "▁ ley",
- "▁l ey",
- "▁le y",
- "本 来",
- "就 算",
- "▁B SP",
- "▁BS P",
- "营 销",
- "▁Predict or",
- "提 出",
- "▁w agon",
- "▁wa gon",
- "▁\" |\"",
- "▁\"| \"",
- "料 酒",
- "S erve",
- "Ser ve",
- "Serv e",
- "创 业",
- ". Done",
- ".D one",
- ".Do ne",
- "▁D urch",
- "▁Du rch",
- "▁Dur ch",
- "展 示",
- "Pro vide",
- "Provid e",
- "以 来",
- "\t score",
- "\ts core",
- "\tsc ore",
- "右 侧",
- "_ OD",
- "_O D",
- "如 下图",
- "如下 图",
- ". weapon",
- ".we apon",
- "转 换",
- "▁univers ally",
- "▁universal ly",
- "等 级",
- "▁inj unction",
- "也 能",
- "_SC ROLL",
- "还 在",
- ". Matrix",
- ".M atrix",
- "现 场",
- "▁Mongo Client",
- "补 充",
- "b uffers",
- "buf fers",
- "buffer s",
- "buff ers",
- "豆 腐",
- "▁bad ges",
- "▁badge s",
- "男 朋友",
- "▁sh arks",
- "▁shar ks",
- "▁shark s",
- "空 调",
- "▁Sh ark",
- "▁Sha rk",
- "▁Shar k",
- "装 饰",
- "MO DEL",
- "MODE L",
- "MOD EL",
- "至 于",
- ". READ",
- ".RE AD",
- "不 够",
- "\t tag",
- "\tt ag",
- "适 当",
- "▁strt oupper",
- "土 豆",
- "ER GY",
- "地 理",
- "b ias",
- "bi as",
- "bia s",
- "成 熟",
- "▁account Id",
- "保 障",
- "▁Em manuel",
- "▁res orts",
- "▁resort s",
- "刺 激",
- "▁s vn",
- "▁sv n",
- "几 年",
- "w arnings",
- "war nings",
- "warning s",
- "warn ings",
- "了 我",
- "_ IE",
- "_I E",
- "不 然",
- "L AS",
- "LA S",
- "投 票",
- "▁n ulla",
- "▁null a",
- "▁nu lla",
- "微 博",
- "\t as",
- "\ta s",
- "房 间",
- "▁d emean",
- "▁de mean",
- "▁dem ean",
- "演 示",
- "高 速",
- "Author ized",
- "Authorize d",
- "拍 摄",
- "▁t endencies",
- "▁tend encies",
- "错 误",
- "- setting",
- "-s etting",
- "-set ting",
- "工 艺",
- "▁p reload",
- "▁pre load",
- "公 众",
- "▁c nn",
- "▁cn n",
- "这 次",
- "填 充",
- "% )\n\n",
- "%) \n\n",
- "这 款",
- "= T",
- "两 种",
- "u sto",
- "us to",
- "ust o",
- "幼 儿",
- "▁F IRE",
- "▁FI RE",
- "连 续",
- "re search",
- "res earch",
- "先 进",
- "人 才",
- "▁Less ons",
- "▁Les sons",
- "▁Lesson s",
- "质 的",
- ".Append Format",
- "▁init iation",
- "▁initi ation",
- "淘 宝",
- "▁C ous",
- "▁Co us",
- "▁Cou s",
- "大 學",
- "a rer",
- "ar er",
- "are r",
- "公 路",
- "pro jection",
- "project ion",
- "proj ection",
- "▁S heets",
- "▁She ets",
- "▁Sheet s",
- "不 知",
- "▁F old",
- "▁Fo ld",
- "▁Fol d",
- "配 合",
- "Re ddit",
- "Red dit",
- "调 节",
- "De leting",
- "Del eting",
- "▁z am",
- "▁za m",
- "▁Ne ural",
- "▁Neu ral",
- "玻 璃",
- "▁ Fecha",
- "▁F echa",
- "▁Fe cha",
- "的 水",
- "▁t asted",
- "▁ta sted",
- "▁taste d",
- "▁tas ted",
- "▁tast ed",
- "青 年",
- "▁En emies",
- "评 价",
- "▁John ston",
- "▁Johns ton",
- "允 许",
- "▁d ancers",
- "▁dan cers",
- "▁dance rs",
- "比 例",
- "▁dis abling",
- "原 来",
- "▁pet ty",
- "公 园",
- "▁W eld",
- "▁We ld",
- "▁Wel d",
- "带 着",
- "/ --",
- "/- -",
- "一 边",
- "( sprite",
- "(s prite",
- "(sp rite",
- "进入 到",
- "I GO",
- "IG O",
- "用 来",
- "arg out",
- "argo ut",
- "美 食",
- "▁quarter backs",
- "▁quarterback s",
- "报 告",
- "dispatch er",
- "disp atcher",
- "前 往",
- "▁S ustainable",
- "别 的",
- "en arios",
- "ena rios",
- "enario s",
- "先 生",
- "▁S ki",
- "▁Sk i",
- "现 在的",
- "现在 的",
- "▁fact o",
- "▁fac to",
- "加 工",
- "il lin",
- "ill in",
- "illi n",
- "流 程",
- "_ extensions",
- "_ext ensions",
- "_extension s",
- "一 样的",
- "一样 的",
- "男 子",
- "> H",
- "官 方",
- "e ast",
- "ea st",
- "胡 萝卜",
- ". air",
- ".a ir",
- ".ai r",
- "点 赞",
- "多 个",
- "Object Context",
- "success fully",
- "successful ly",
- "在 线",
- "_ land",
- "_l and",
- "开 展",
- "▁f olds",
- "▁fol ds",
- "▁fold s",
- "_CO ORD",
- "姐 姐",
- "▁sub po",
- "笔 记",
- ".get Address",
- ".g etAddress",
- "女 子",
- "in str",
- "ins tr",
- "inst r",
- "垃 圾",
- "Material s",
- "包 装",
- "de posit",
- "dep osit",
- "从 来",
- "- last",
- "-l ast",
- "-la st",
- "说 是",
- "_ GRAY",
- "_G RAY",
- "_GR AY",
- "此 外",
- "= find",
- "=f ind",
- "车 辆",
- "▁mut ant",
- "▁mu tant",
- "我 爸",
- "▁lesb ienne",
- "很 好的",
- "很好 的",
- "let cher",
- "RO UGH",
- "依 然",
- "ur eka",
- "ure ka",
- "打 造",
- ". capture",
- ".c apture",
- ".cap ture",
- "沟 通",
- "▁ enn",
- "▁e nn",
- "▁en n",
- "▁ ([[",
- "▁( [[",
- "▁([ [",
- "是 由",
- "▁F lu",
- "▁Fl u",
- "蔬 菜",
- "▁task Id",
- "中 國",
- "▁Hus sein",
- "施 工",
- ". folder",
- ".f older",
- ".fold er",
- "竞 争",
- "▁a usterity",
- "斯 特",
- "IST RATION",
- "ISTR ATION",
- "之 外",
- "_ Impl",
- "_I mpl",
- "宠 物",
- "才 是",
- "▁dec ree",
- "▁decre e",
- "客 房",
- "- chat",
- "-c hat",
- "-ch at",
- "下 方的",
- "下方 的",
- "▁imp lication",
- "▁impl ication",
- "更 多的",
- "更多 的",
- "▁guess es",
- "否 则",
- "ul kan",
- "ulk an",
- "下 午",
- "An alytics",
- "战 争",
- ". plus",
- ".pl us",
- "老 板",
- "COM MAND",
- "COMM AND",
- "定 位",
- "淀 粉",
- "_ SITE",
- "_S ITE",
- "▁equal To",
- "立 即",
- "Support FragmentManager",
- "概 念",
- "▁ Recording",
- "▁Rec ording",
- "▁Record ing",
- "不 如",
- "吸 收",
- "▁bag gage",
- "的 作用",
- "▁pitch ers",
- "▁pitcher s",
- "右 键",
- "▁E h",
- "担 心",
- "o que",
- "认 证",
- "\t cnt",
- "\tc nt",
- "形 象",
- "▁ =>$",
- "▁= >$",
- "▁=> $",
- "/ foo",
- "/f oo",
- "的 原因",
- "的原 因",
- "I RA",
- "IR A",
- "如果 是",
- "▁Sat ellite",
- "当 前",
- "bo rah",
- "bor ah",
- "并 没有",
- "▁} }\"\n",
- "▁}} \"\n",
- "▁}}\" \n",
- "真 的是",
- "真的 是",
- "▁En ds",
- "▁End s",
- "链 接",
- "▁Sp ray",
- "▁Spr ay",
- "种 植",
- ", param",
- ",p aram",
- "办公 室",
- ". Chrome",
- ".Ch rome",
- "不 再",
- "* q",
- "组 合",
- "th ought",
- "though t",
- "他 说",
- "ib rated",
- "ibr ated",
- "ibrate d",
- "代 码",
- "▁th ieves",
- "件 事",
- "▁benefici aries",
- "西 南",
- "En tered",
- "Ent ered",
- "Enter ed",
- "ottes ville",
- "otte sville",
- "▁veter in",
- "文 本",
- "By ID",
- "主 题",
- "qu ipe",
- "quip e",
- "qui pe",
- "你 可以",
- "你可 以",
- "um ption",
- "ump tion",
- "umpt ion",
- "罗 斯",
- "- unit",
- "-un it",
- "-u nit",
- "排 名",
- "Execution Context",
- "困 难",
- "@ s",
- "机 器",
- "▁G iov",
- "▁Gi ov",
- "不 住",
- ". ToolTip",
- ".Tool Tip",
- "天 天",
- "_ friend",
- "_f riend",
- "( attributes",
- "(at tributes",
- "(attribute s",
- "减 肥",
- "▁d umping",
- "▁dump ing",
- "台 灣",
- "▁ JC",
- "▁J C",
- "真 是",
- "_ DOCUMENT",
- "_D OCUMENT",
- "很 容易",
- "▁Arm our",
- "( insert",
- "(in sert",
- "(ins ert",
- ".Horizontal Alignment",
- "来 到",
- "▁ Qed",
- "▁Q ed",
- "期 的",
- "母 亲",
- "/ git",
- "/g it",
- "荣 耀",
- "▁ YYYY",
- "▁Y YYY",
- "▁YY YY",
- "复 杂",
- "▁Car diff",
- "▁Card iff",
- "尝 试",
- "▁ apa",
- "▁a pa",
- "▁ap a",
- "有 着",
- "org anic",
- "organ ic",
- "西 北",
- "▁Where as",
- "▁Whe reas",
- "会 员",
- "上 去",
- "▁M ia",
- "▁Mi a",
- "江 苏",
- "▁demol ition",
- "上 方",
- "▁s cars",
- "▁sc ars",
- "▁sca rs",
- "▁scar s",
- "不 需要",
- "不需 要",
- "▁p ai",
- "▁pa i",
- "公 共",
- "▁re tries",
- "▁ret ries",
- "▁retrie s",
- "▁retr ies",
- "阳 光",
- "▁ rq",
- "▁r q",
- "▁D enis",
- "▁De nis",
- "▁Den is",
- "流 量",
- "( Utils",
- "之 间的",
- "之间 的",
- "▁allev iate",
- "最 好的",
- "最好 的",
- "▁P IC",
- "▁PI C",
- "i due",
- "id ue",
- "改 善",
- "▁acknowled ging",
- "做 了",
- "▁// ////////////////////////////////",
- "▁////////////////// ////////////////",
- "详 情",
- "默 认",
- "\\ Json",
- ". binary",
- ".b inary",
- ".bin ary",
- "▁x type",
- "sign als",
- "signal s",
- "左 侧",
- "▁ Appearance",
- "▁Ap pearance",
- "欧 洲",
- "& r",
- "自 治",
- "} s",
- "成 為",
- "C i",
- "初 中",
- "▁I llum",
- "▁Ill um",
- "球 队",
- "p orate",
- "por ate",
- "po rate",
- "地 區",
- "h og",
- "ho g",
- "分 手",
- "▁ indexOf",
- "▁index Of",
- "面 板",
- "\\ Command",
- "足 够",
- "_ parallel",
- "_par allel",
- "本 科",
- "▁Sher lock",
- "可 爱",
- "每 年",
- "▁\" \")\r\n",
- "▁\"\" )\r\n",
- "▁\"\") \r\n",
- "美 丽",
- "//////////////// ////////////////////////////////////////////////////////////////////////////////",
- "//////////////////////////////// ////////////////////////////////////////////////////////////////",
- "//////////////////////////////////////////////////////////////// ////////////////////////////////",
- "//////////////////////////////////////////////// ////////////////////////////////////////////////",
- "//////////////////////////////////////////////////////////////////////////////// ////////////////",
- "型 的",
- "▁critic ize",
- "开 放",
- "▁So ap",
- "我 要",
- "▁ Matcher",
- "▁M atcher",
- "▁Mat cher",
- "▁Match er",
- "主 席",
- "▁gr illed",
- "▁grill ed",
- "态 度",
- "* T",
- "▁ad ore",
- "▁ado re",
- "导 演",
- "ul ling",
- "ull ing",
- "不 太",
- "▁jed och",
- "限 制",
- "_ refs",
- "_re fs",
- "_r efs",
- "_ref s",
- "认 真",
- "lean up",
- "放 弃",
- "▁J AXB",
- "▁JA XB",
- "体 的",
- "▁r oses",
- "▁ro ses",
- "▁rose s",
- "▁ros es",
- "▁L iam",
- "▁Li am",
- "理 念",
- "size i",
- "的 发展",
- "的发 展",
- "▁get char",
- "思 维",
- "▁t arde",
- "▁tar de",
- "▁tard e",
- "特 征",
- "- tooltip",
- "-to oltip",
- "-tool tip",
- "学 名",
- "▁qual ifier",
- "内 部",
- "▁Inter mediate",
- "东 北",
- "_ Window",
- "_W indow",
- "▁Mal ta",
- "增 长",
- "Dis connect",
- "e where",
- "ew here",
- "街 道",
- "C ampo",
- "Cam po",
- "Camp o",
- "日 子",
- "▁irr ational",
- "美 元",
- "le do",
- "led o",
- "如 今",
- "▁ DN",
- "▁D N",
- "南 京",
- "AR GV",
- "ARG V",
- "我们 就",
- "▁out ro",
- "▁ou tro",
- "▁outr o",
- "上 角",
- "▁th irteen",
- "效 率",
- "Jose ph",
- "实 施",
- "M AR",
- "MA R",
- "/ gl",
- "/g l",
- "处 于",
- "J ess",
- "Je ss",
- "战 斗",
- "▁Psych iat",
- "统 计",
- "▁padding Bottom",
- "特别 是",
- "- loop",
- "-l oop",
- "-lo op",
- "推 广",
- "/ fonts",
- "/font s",
- "文件 夹",
- "_ seen",
- "_s een",
- "_se en",
- "每 一",
- "Te ams",
- "Team s",
- "多 次",
- "React DOM",
- "革 命",
- "( man",
- "(m an",
- "娱 乐",
- "( xpath",
- "(x path",
- "不 在",
- ".get SimpleName",
- "大 火",
- "> (*",
- ">( *",
- "▁P vt",
- "▁Pv t",
- "包 含",
- "▁el ders",
- "▁elder s",
- "上 班",
- "▁ pies",
- "▁p ies",
- "▁pie s",
- "▁pi es",
- "黄 色",
- ".user Agent",
- "规 则",
- "- region",
- "-reg ion",
- "时 尚",
- "▁Gre eks",
- "▁Greek s",
- "▁Gree ks",
- "文 明",
- "( fragment",
- "(f ragment",
- "广 场",
- "s tu",
- "st u",
- "四 年",
- "▁council s",
- "▁st amina",
- "逐 渐",
- "▁God dess",
- "青 春",
- "整 理",
- "▁philosoph ers",
- "▁philosopher s",
- "男 性",
- "▁person e",
- "▁pers one",
- "辅 助",
- "▁L ose",
- "▁Lo se",
- "▁Los e",
- "行 动",
- "▁C LR",
- "▁CL R",
- "病 毒",
- "▁D ocs",
- "▁Do cs",
- "▁Doc s",
- "反 正",
- "▁so ak",
- "弹 出的",
- "弹出 的",
- "▁H OLDER",
- "▁HOLD ER",
- "都 没",
- "▁b ells",
- "▁bel ls",
- "▁bell s",
- "合 同",
- "hash Code",
- "大 陆",
- "R ATE",
- "RA TE",
- "改 革",
- "_WE IGHT",
- "商 务",
- "in ous",
- "ino us",
- "切 换",
- "en dra",
- "end ra",
- "有 时",
- "oph obic",
- "奖 励",
- "▁p rose",
- "▁pro se",
- "▁pr ose",
- "▁pros e",
- "成 员",
- "▁f inely",
- "▁fin ely",
- "▁fine ly",
- "联 盟",
- "/ oauth",
- "/o auth",
- "刚 刚",
- "( space",
- "(s pace",
- "(sp ace",
- "规 模",
- "ad ge",
- "主 要是",
- "主要 是",
- "▁M ama",
- "▁Ma ma",
- "▁Mam a",
- "粉 丝",
- "▁string Buffer",
- "▁st int",
- "实 践",
- "▁m isma",
- "▁mis ma",
- "经 典",
- "▁vill ains",
- "▁villain s",
- "▁villa ins",
- "进 一步",
- "▁Crime a",
- "知 乎",
- "▁dipl oma",
- "▁diplom a",
- "不 错的",
- "不错 的",
- "冰 箱",
- "▁B ea",
- "▁Be a",
- "学 历",
- "( join",
- "(j oin",
- "加 强",
- "水 分",
- "CH AT",
- "CHA T",
- "说 我",
- "p ering",
- "pe ring",
- "per ing",
- "peri ng",
- "▁C ros",
- "▁Cr os",
- "▁Cro s",
- "给 他",
- "▁mon keys",
- "▁monkey s",
- "调 查",
- "▁p reds",
- "▁pr eds",
- "▁pre ds",
- "▁pred s",
- "下 拉",
- "y la",
- "yl a",
- ", ,,",
- ",, ,",
- "你 会",
- "▁vibr ator",
- "酱 油",
- "▁ NU",
- "▁N U",
- "人民 共和国",
- "f ant",
- "fa nt",
- "fan t",
- "而 言",
- "z et",
- "ze t",
- "湖 南",
- "▁b ietet",
- "小 心",
- "un ft",
- "武 器",
- "s worth",
- "sw orth",
- ". Flow",
- ".F low",
- "同 事",
- "▁psych ed",
- "▁psy ched",
- "路 上",
- "▁Contin ental",
- "的 心",
- "> t",
- "更 好的",
- "更好 的",
- "▁qu ilt",
- "▁q uilt",
- "▁qui lt",
- "预 防",
- ". UP",
- ".U P",
- "▁expans ive",
- "神 经",
- "Dis pose",
- "清 洁",
- "( language",
- "(l anguage",
- "平方 米",
- "C aps",
- "Cap s",
- "Ca ps",
- "感 染",
- "_ ZONE",
- "_Z ONE",
- "劳 动",
- "▁re cycle",
- "▁r ecycle",
- "▁rec ycle",
- "方 面的",
- "方面 的",
- "▁ Managed",
- "▁Man aged",
- "▁Manage d",
- "▁Mana ged",
- "看 起来",
- "current Color",
- "感 到",
- ". broadcast",
- ".b roadcast",
- "成 的",
- "sign In",
- "行 星",
- ". prom",
- ".p rom",
- ".pro m",
- ".pr om",
- "点 的",
- "l lu",
- "ll u",
- "头 像",
- "ue blo",
- "或 许",
- "▁pun ches",
- "▁punch es",
- "不 上",
- "▁auto mat",
- "▁autom at",
- "早 上",
- "▁assign ing",
- "判 断",
- "▁create User",
- "或 是",
- "▁All ied",
- "内 存",
- "▁con ductor",
- "▁conduct or",
- "休 息",
- "更 是",
- "▁s addle",
- "▁sadd le",
- "搅 拌均匀",
- "搅拌 均匀",
- "▁d ni",
- "▁dn i",
- "人口 密度",
- "omed ical",
- "化 妆",
- "- West",
- "-W est",
- "攻 略",
- "Positive Button",
- "这 就是",
- "这就 是",
- "▁ italic",
- "▁it alic",
- "咖 啡",
- "? [",
- "脂 肪",
- "( trigger",
- "(tr igger",
- "居 民",
- "▁ele phants",
- "▁elephant s",
- "增 强",
- "\":\" \",\"",
- "让 我们",
- "让我 们",
- "▁cal iber",
- "广 州",
- "raft ed",
- "raf ted",
- "主 持",
- "d igits",
- "digit s",
- "dig its",
- "资 格",
- "▁ marshal",
- "▁m arshal",
- "▁mar shal",
- "▁marsh al",
- "▁mars hal",
- "十 年",
- "m illiseconds",
- "mill iseconds",
- "mark ers",
- "mar kers",
- "marker s",
- "时 的",
- "m om",
- "mo m",
- "麻 烦",
- "/ place",
- "/p lace",
- "/pl ace",
- "的 情况下",
- "的情况 下",
- "▁hol istic",
- "兄 弟",
- ": t",
- "理 想",
- "# ,",
- "至 今",
- "▁b oto",
- "▁bo to",
- "▁bot o",
- "度 的",
- "▁nause a",
- "五 年",
- "▁Sh ooting",
- "▁Shoot ing",
- "舒 服",
- "i tech",
- "it ech",
- "ite ch",
- "还 没",
- "▁text Status",
- "细 节",
- "< Class",
- " ())\n",
- ">( ))\n",
- ">() )\n",
- "印 象",
- "ADD RESS",
- "ADDR ESS",
- "介绍 一下",
- "B ST",
- "BS T",
- "讨 论",
- "et zt",
- "etz t",
- "下面 就",
- "▁Q gs",
- "满 意",
- "S ense",
- "Sen se",
- "Exception Handler",
- "▁C hu",
- "▁Ch u",
- "机 场",
- ".get OwnProperty",
- "广 泛",
- "▁exerc ised",
- "▁exercise d",
- "千 米",
- "i otic",
- "io tic",
- "iot ic",
- "不 懂",
- "▁Re leases",
- "▁Release s",
- "航 空",
- "▁p interest",
- "旅 行",
- "o lie",
- "ol ie",
- "oli e",
- "俄 罗斯",
- "i soft",
- "is oft",
- "iso ft",
- "一 个月",
- "一个 月",
- "▁sequ encing",
- "别 人的",
- "别人 的",
- "▁pad re",
- "学 术",
- "] ));\r\n",
- "]) );\r\n",
- "])) ;\r\n",
- "两 年",
- "( radius",
- "(r adius",
- ". med",
- ".m ed",
- ".me d",
- "做 出",
- "ain ties",
- "aint ies",
- "跟 着",
- ".Object Model",
- "什么 的",
- "▁ emple",
- "▁em ple",
- "▁emp le",
- "基 地",
- "▁seg uro",
- "动 态",
- "St ars",
- "Star s",
- "子 里",
- "▁qual itative",
- "才 会",
- "le mn",
- "lem n",
- "居 住",
- "> \").",
- ">\" ).",
- "天 的",
- "▁ gx",
- "▁g x",
- "我们 需要",
- "- cert",
- "-c ert",
- "-ce rt",
- "小编 就",
- "▁A STM",
- "▁AS TM",
- "▁AST M",
- "台 湾",
- "▁ fullname",
- "▁full name",
- "▁ful lname",
- "双 方",
- "▁te lemetry",
- "▁tele metry",
- "容 量",
- "▁Camb odia",
- "字 体",
- "_ ul",
- "_u l",
- "各 个",
- "▁Cl are",
- "▁Clar e",
- "▁Cla re",
- "这 时候",
- "这时 候",
- "C USTOM",
- "协 议",
- "Q C",
- "氧 化",
- "▁U ns",
- "▁Un s",
- "仍 然",
- "▁HTTP S",
- "了 吧",
- "▁Par kinson",
- "▁Park inson",
- "跟 我",
- "ancy box",
- "文 物",
- "', '.",
- "',' .",
- "福 建",
- "T ue",
- "Tu e",
- "成 都",
- ".get Last",
- "國 家",
- "▁ abi",
- "▁a bi",
- "▁ab i",
- "面 包",
- "修 复",
- "A st",
- "As t",
- "使 得",
- "▁ Editing",
- "▁Ed iting",
- "▁Edit ing",
- "区 别",
- ". Unity",
- ".Un ity",
- ".Unit y",
- "应该 是",
- "j mp",
- "确 保",
- "▁m ats",
- "▁mat s",
- "▁ma ts",
- "对 比",
- "▁shared Preferences",
- "大 型",
- "Cap tain",
- "Capt ain",
- "投 入",
- ". pageSize",
- ".page Size",
- "各 位",
- "▁ rtl",
- "▁r tl",
- "▁rt l",
- "河 北",
- "▁an meld",
- "蓝 色",
- "Runtime Object",
- "返 回",
- "▁dem ande",
- "▁demand e",
- "维 护",
- "( \";",
- "(\" ;",
- "两 次",
- "se ite",
- "很 少",
- "-head ed",
- "-he aded",
- "战 略",
- "▁K ra",
- "▁Kr a",
- "意 见",
- "▁ FONT",
- "▁F ONT",
- "▁FO NT",
- "芝 麻",
- "` \\",
- "某 些",
- "Class NotFoundException",
- "设置 界面",
- ". avg",
- ".a vg",
- ".av g",
- "a tical",
- "at ical",
- "atic al",
- "ati cal",
- "atica l",
- "最 多",
- "A j",
- "让 他",
- "▁permit ting",
- "▁perm itting",
- "冠 军",
- "Pro j",
- "Pr oj",
- "下 降",
- "ERR Q",
- "姑 娘",
- "▁cre ampie",
- "▁cream pie",
- "后 期",
- "▁Buy er",
- "▁Bu yer",
- "出 口",
- "- modules",
- "-mod ules",
- "-module s",
- "然 后再",
- "然后 再",
- "▁Sunday s",
- "▁Sun days",
- "▁Sund ays",
- "研究 生",
- "| `\n",
- "▁day time",
- "成 果",
- "▁ +(",
- "▁+ (",
- "事 实",
- "▁gl itch",
- "上 述",
- "▁ Operand",
- "▁Oper and",
- "▁Opera nd",
- "我 会",
- "▁tox ins",
- "首 次",
- "i nya",
- "in ya",
- "iny a",
- "敌 人",
- "D NS",
- "DN S",
- "▁S as",
- "▁Sa s",
- "天 然",
- "C ake",
- "Ca ke",
- "相 比",
- "▁National s",
- "▁Nation als",
- "人 工",
- ". addTo",
- ".add To",
- "▁s inking",
- "▁sin king",
- "▁sink ing",
- "美 术",
- "▁compreh ension",
- "医 学",
- "▁s cor",
- "▁sc or",
- "▁sco r",
- "发 送",
- "ag ements",
- "age ments",
- "agement s",
- "agem ents",
- "本 地",
- "▁t ard",
- "▁ta rd",
- "▁tar d",
- "出 门",
- "▁mar ching",
- "▁march ing",
- "吃 了",
- "▁M TV",
- "▁MT V",
- "开 水",
- "▁s ane",
- "▁sa ne",
- "▁san e",
- "上 市",
- "Create Info",
- "在 这个",
- "在这 个",
- "一 名",
- "▁end Index",
- "信 号",
- "\t layout",
- "\tl ayout",
- "专 业的",
- "专业 的",
- "透 明",
- "S ITE",
- "SI TE",
- "听 到",
- "▁T HERE",
- "▁THE RE",
- "▁TH ERE",
- "另 一个",
- "另一 个",
- "▁[ {'",
- "▁[{ '",
- "想 象",
- "opath ic",
- "估 计",
- "▁trans mitter",
- "▁transmit ter",
- "打 车",
- "/ body",
- "/b ody",
- "星 期",
- "▁p und",
- "▁pun d",
- "▁pu nd",
- "怎么 样",
- "▁ Closing",
- "▁C losing",
- "▁Cl osing",
- "观 点",
- "▁set attr",
- "大家 都",
- "▁b ounded",
- "▁bo unded",
- "▁bound ed",
- "爱 好",
- "At las",
- "Atl as",
- "购 物",
- "s uming",
- "sum ing",
- "su ming",
- "智 慧",
- "( times",
- "(t imes",
- "(time s",
- "人 士",
- "p arer",
- "par er",
- "pare r",
- "pa rer",
- "y nom",
- "yn om",
- "稍 微",
- "fe it",
- "▁f rem",
- "▁fr em",
- "▁fre m",
- "- leg",
- "-l eg",
- "-le g",
- "生 涯",
- "▁B ras",
- "▁Br as",
- "▁Bra s",
- "离 婚",
- "> #",
- "他 是",
- "那 样",
- "▁ INSTANCE",
- "▁IN STANCE",
- "代 理",
- "▁C ouch",
- "▁Co uch",
- "▁Cou ch",
- "识 别",
- "_ hosts",
- "_host s",
- "完 成了",
- "完成 了",
- "lik elihood",
- "舒 适",
- ". Marker",
- ".M arker",
- "黄 油",
- "▁M asks",
- "▁Mas ks",
- "▁Mask s",
- "第二 天",
- "▁c ereal",
- "▁ce real",
- "▁cere al",
- "旁 边",
- "ut ilities",
- "util ities",
- "肌 肤",
- "▁element al",
- "▁elem ental",
- "或 者是",
- "或者 是",
- "▁dist orted",
- "适 应",
- "in active",
- "贷 款",
- "c ry",
- "cr y",
- "也 不是",
- "也不 是",
- "W L",
- "老 人",
- "UPPORT ED",
- "的 操作",
- ". Throws",
- ".Th rows",
- "公众 号",
- "/ schema",
- "/s chema",
- "小 伙伴",
- "小伙 伴",
- "s erie",
- "se rie",
- "ser ie",
- "个 性",
- ". \"',",
- ".\" ',",
- ".\"' ,",
- "加 热",
- "▁Bened ict",
- "危 险",
- "- picker",
- "-p icker",
- "真 的很",
- "真的 很",
- "ig gs",
- "igg s",
- "健 身",
- "▁Pi rate",
- "▁Pir ate",
- "似 乎",
- "规 范",
- "▁The ma",
- "▁Th ema",
- "▁Them a",
- "先 后",
- "▁South ampton",
- "让 自己",
- "▁array With",
- "平 衡",
- "▁Paul a",
- "▁Pa ula",
- "问 我",
- "▁predict or",
- "- Ass",
- "-A ss",
- ". userid",
- ".user id",
- ".use rid",
- "会 出现",
- "▁ peri",
- "▁p eri",
- "▁per i",
- "▁pe ri",
- "利 于",
- "▁exagger ated",
- "运 动员",
- "运动 员",
- "u rate",
- "ur ate",
- "ura te",
- "打开 手机",
- "arse ille",
- "外 观",
- "▁Con cent",
- "的 我",
- "▁P ik",
- "▁Pi k",
- "进 步",
- "▁@ _;\n\n",
- "▁@_;\n \n",
- "显 得",
- "▁form ations",
- "▁format ions",
- "▁formation s",
- "清 晰",
- "▁den omin",
- "▁denom in",
- "消 化",
- "\" />.\n",
- "\"/ >.\n",
- "\"/> .\n",
- "独 特",
- "end edor",
- "ended or",
- "出 锅",
- "▁pan cre",
- "▁panc re",
- "▁ amt",
- "▁a mt",
- "▁am t",
- "模 型",
- "▁on Resume",
- "想 想",
- "on Delete",
- "委 会",
- "▁B CH",
- "▁BC H",
- "的 就是",
- "的就 是",
- ") (\"",
- ")( \"",
- "海拔 高度",
- "m ovement",
- "move ment",
- "mo vement",
- "mov ement",
- "运 用",
- "▁pot assium",
- "措 施",
- "
+
+# sft_bf16_p1_full
+
+This model is a fine-tuned version of [THUDM/glm-4-9b-chat-1m](https://huggingface.co/THUDM/glm-4-9b-chat-1m) on the alpaca_mgtv_p1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1995
+- Accuracy: 0.9332
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 4.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.8958 | 0.9950 | 175 | 0.4473 | 0.7613 |
+| 0.1917 | 1.9900 | 350 | 0.1856 | 0.9307 |
+| 0.1287 | 2.9851 | 525 | 0.1813 | 0.9337 |
+| 0.0755 | 3.9801 | 700 | 0.1995 | 0.9332 |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1
\ No newline at end of file
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/adapter_config.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8352756519b4695aff9957edb81be8b0520e47cf
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/adapter_config.json
@@ -0,0 +1,31 @@
+{
+ "alpha_pattern": {},
+ "auto_mapping": null,
+ "base_model_name_or_path": "THUDM/glm-4-9b-chat-1m",
+ "bias": "none",
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 16,
+ "lora_dropout": 0.0,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "r": 8,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "dense_h_to_4h",
+ "query_key_value",
+ "dense_4h_to_h",
+ "dense"
+ ],
+ "task_type": "CAUSAL_LM",
+ "use_dora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/adapter_model.safetensors b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..bafc89b2f4080b180924b8e0decca4bfc0878e8b
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:779d919e4e576eb536f72ff440fea92eb01a8b6522a276d586a48fc2f24d1fd2
+size 85409560
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/added_tokens.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/added_tokens.json
new file mode 100644
index 0000000000000000000000000000000000000000..f3a7f4eaefbf184faa4a5a188a399538df4c8c36
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/added_tokens.json
@@ -0,0 +1,16 @@
+{
+ "": 151334,
+ "": 151333,
+ "<|assistant|>": 151337,
+ "<|begin_of_image|>": 151339,
+ "<|begin_of_video|>": 151341,
+ "<|end_of_image|>": 151340,
+ "<|end_of_video|>": 151342,
+ "<|endoftext|>": 151329,
+ "<|observation|>": 151338,
+ "<|system|>": 151335,
+ "<|user|>": 151336,
+ "[MASK]": 151330,
+ "[gMASK]": 151331,
+ "[sMASK]": 151332
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/all_results.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/all_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..af3d22ad9090555022403024a2fa990c69a282ad
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/all_results.json
@@ -0,0 +1,13 @@
+{
+ "epoch": 3.9800995024875623,
+ "eval_accuracy": 0.9332066666666665,
+ "eval_loss": 0.1994711458683014,
+ "eval_runtime": 135.9458,
+ "eval_samples_per_second": 18.39,
+ "eval_steps_per_second": 18.39,
+ "total_flos": 1.742929467193688e+18,
+ "train_loss": 0.2920300728934152,
+ "train_runtime": 10146.3014,
+ "train_samples_per_second": 8.87,
+ "train_steps_per_second": 0.069
+}
\ No newline at end of file
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/README.md b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..8a25a4498c7ba2e7ef04fc9e0ebdf0b56b6e55c6
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/README.md
@@ -0,0 +1,202 @@
+---
+library_name: peft
+base_model: THUDM/glm-4-9b-chat-1m
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.11.1
\ No newline at end of file
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/adapter_config.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8352756519b4695aff9957edb81be8b0520e47cf
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/adapter_config.json
@@ -0,0 +1,31 @@
+{
+ "alpha_pattern": {},
+ "auto_mapping": null,
+ "base_model_name_or_path": "THUDM/glm-4-9b-chat-1m",
+ "bias": "none",
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 16,
+ "lora_dropout": 0.0,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "r": 8,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "dense_h_to_4h",
+ "query_key_value",
+ "dense_4h_to_h",
+ "dense"
+ ],
+ "task_type": "CAUSAL_LM",
+ "use_dora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/adapter_model.safetensors b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..92ccbc8882409a5466b8ce6f1c1ee23fa6a9ae2e
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d0df7f0690c53c417ae34e98e48ad020e0a526362591869d7ba83f0c43ef8a4f
+size 85409560
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/added_tokens.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/added_tokens.json
new file mode 100644
index 0000000000000000000000000000000000000000..f3a7f4eaefbf184faa4a5a188a399538df4c8c36
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/added_tokens.json
@@ -0,0 +1,16 @@
+{
+ "": 151334,
+ "": 151333,
+ "<|assistant|>": 151337,
+ "<|begin_of_image|>": 151339,
+ "<|begin_of_video|>": 151341,
+ "<|end_of_image|>": 151340,
+ "<|end_of_video|>": 151342,
+ "<|endoftext|>": 151329,
+ "<|observation|>": 151338,
+ "<|system|>": 151335,
+ "<|user|>": 151336,
+ "[MASK]": 151330,
+ "[gMASK]": 151331,
+ "[sMASK]": 151332
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/optimizer.pt b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/optimizer.pt
new file mode 100644
index 0000000000000000000000000000000000000000..7157d9b5e46599b8aecd7d799a1aed0246cb1eaa
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/optimizer.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c5d56ac96c6f89282175acfa3642c1ef58146678d7473bc11de09f140e75f2a3
+size 170990330
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/rng_state.pth b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/rng_state.pth
new file mode 100644
index 0000000000000000000000000000000000000000..0a11d850e4f9ddde03041fb0f3247ef616fbda77
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8d138cfe3a4adf21f048848ee35837c9a757a0a3616ff7adbb45b69aac247435
+size 14244
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/scheduler.pt b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/scheduler.pt
new file mode 100644
index 0000000000000000000000000000000000000000..eb378c1863d0b41e9a7a14779d21119ad9aeec8a
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/scheduler.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:260dbe7a290a3eb6243acf2b7854e91fda974ddc05a7f2e6ef4d24d9dbbc4233
+size 1064
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/special_tokens_map.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..582da4ad333feaaa0c427b4678a3e48447ea932f
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/special_tokens_map.json
@@ -0,0 +1,32 @@
+{
+ "additional_special_tokens": [
+ "<|endoftext|>",
+ "[MASK]",
+ "[gMASK]",
+ "[sMASK]",
+ "",
+ "",
+ "<|system|>",
+ "<|user|>",
+ "<|assistant|>",
+ "<|observation|>",
+ "<|begin_of_image|>",
+ "<|end_of_image|>",
+ "<|begin_of_video|>",
+ "<|end_of_video|>"
+ ],
+ "eos_token": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ },
+ "pad_token": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ }
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/tokenization_chatglm.py b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/tokenization_chatglm.py
new file mode 100644
index 0000000000000000000000000000000000000000..7eeff3b02adcef48d4d69058ff36a390f6902273
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/tokenization_chatglm.py
@@ -0,0 +1,323 @@
+import regex as re
+import base64
+import os
+import json
+import tiktoken
+from torch import TensorType
+from typing import List, Optional, Union, Dict, Any
+from transformers import PreTrainedTokenizer
+from transformers.utils import logging, PaddingStrategy
+from transformers.tokenization_utils_base import EncodedInput, BatchEncoding
+
+
+class ChatGLM4Tokenizer(PreTrainedTokenizer):
+ vocab_files_names = {"vocab_file": "tokenizer.model"}
+ model_input_names = ["input_ids", "attention_mask", "position_ids"]
+
+ def __init__(
+ self,
+ vocab_file,
+ padding_side="left",
+ clean_up_tokenization_spaces=False,
+ encode_special_tokens=False,
+ **kwargs
+ ):
+ self.name = "GLM4Tokenizer"
+ self.vocab_file = vocab_file
+ pat_str = "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+"
+ self.pat_str = re.compile(pat_str)
+ self.encode_special_tokens = encode_special_tokens
+
+ mergeable_ranks = {}
+ with open(vocab_file) as f:
+ for line in f:
+ token, rank = line.strip().split()
+ rank = int(rank)
+ token = base64.b64decode(token)
+ mergeable_ranks[token] = rank
+
+ self.mergeable_ranks = mergeable_ranks
+
+ self.tokenizer = tiktoken.Encoding(
+ name="my_tokenizer",
+ pat_str=pat_str,
+ mergeable_ranks=mergeable_ranks,
+ special_tokens={}
+ )
+ self.decoder = {rank: token for token, rank in mergeable_ranks.items()}
+ self.n_words = len(self.decoder)
+
+ super().__init__(
+ padding_side=padding_side,
+ clean_up_tokenization_spaces=clean_up_tokenization_spaces,
+ **kwargs
+ )
+
+ @property
+ def vocab_size(self):
+ return self.n_words
+
+ def get_vocab(self):
+ """ Returns vocab as a dict """
+ vocab = {self._convert_id_to_token(i): i for i in range(self.vocab_size)}
+ vocab.update(self.added_tokens_encoder)
+ return vocab
+
+ def convert_tokens_to_string(self, tokens: List[Union[bytes, str, int]]) -> str:
+ """
+ Converts a sequence of tokens in a single string.
+ """
+ text = ""
+ temp = b""
+ for t in tokens:
+ if isinstance(t, int):
+ t = chr(t)
+ if isinstance(t, str):
+ if temp:
+ text += temp.decode("utf-8", errors="replace")
+ elif isinstance(t, bytes):
+ temp += t
+ else:
+ raise TypeError("token should only be of type int, bytes or str")
+ if temp:
+ text += temp.decode("utf-8", errors="replace")
+ return text
+
+ def _tokenize(self, text, **kwargs):
+ tokens = []
+ ids = self.tokenizer.encode(text)
+ for t in ids:
+ tokens.append(self.decoder[t])
+ return tokens
+
+ def _convert_token_to_id(self, token):
+ """ Converts a token (str) in an id using the vocab. """
+ return self.mergeable_ranks[token]
+
+ def _convert_id_to_token(self, index):
+ """Converts an index (integer) in a token (str) using the vocab."""
+ return self.decoder.get(index, "")
+
+ def save_vocabulary(self, save_directory, filename_prefix=None):
+ """
+ Save the vocabulary and special tokens file to a directory.
+
+ Args:
+ save_directory (`str`):
+ The directory in which to save the vocabulary.
+ filename_prefix (`str`, *optional*):
+ An optional prefix to add to the named of the saved files.
+
+ Returns:
+ `Tuple(str)`: Paths to the files saved.
+ """
+ if os.path.isdir(save_directory):
+ vocab_file = os.path.join(
+ save_directory, self.vocab_files_names["vocab_file"]
+ )
+ else:
+ vocab_file = save_directory
+
+ with open(self.vocab_file, 'rb') as fin:
+ proto_str = fin.read()
+
+ with open(vocab_file, "wb") as writer:
+ writer.write(proto_str)
+
+ return (vocab_file,)
+
+ def get_prefix_tokens(self):
+ prefix_tokens = [self.convert_tokens_to_ids("[gMASK]"), self.convert_tokens_to_ids("")]
+ return prefix_tokens
+
+ def build_single_message(self, role, metadata, message, tokenize=True):
+ assert role in ["system", "user", "assistant", "observation"], role
+ if tokenize:
+ role_tokens = [self.convert_tokens_to_ids(f"<|{role}|>")] + self.tokenizer.encode(f"{metadata}\n",
+ disallowed_special=())
+ message_tokens = self.tokenizer.encode(message, disallowed_special=())
+ tokens = role_tokens + message_tokens
+ return tokens
+ else:
+ return str(f"<|{role}|>{metadata}\n{message}")
+
+ # Use Jinja Template in tokenizer_config.json
+ # def apply_chat_template(
+ # self,
+ # conversation: Union[List[Dict[str, str]], List[List[Dict[str, str]]], "Conversation"],
+ # add_generation_prompt: bool = False,
+ # tokenize: bool = True,
+ # padding: bool = False,
+ # truncation: bool = False,
+ # max_length: Optional[int] = None,
+ # return_tensors: Optional[Union[str, TensorType]] = None,
+ # return_dict: bool = False,
+ # tokenizer_kwargs: Optional[Dict[str, Any]] = None,
+ # add_special_tokens: bool = True,
+ # **kwargs,
+ # ) -> Union[str, List[int], List[str], List[List[int]], BatchEncoding]:
+ #
+ # if return_dict and not tokenize:
+ # raise ValueError(
+ # "`return_dict=True` is incompatible with `tokenize=False`, because there is no dict "
+ # "of tokenizer outputs to return."
+ # )
+ #
+ # def handle_single_conversation(conversation):
+ # input_ids = self.get_prefix_tokens() if add_special_tokens else []
+ # input_message = "[gMASK]" if add_special_tokens else ""
+ # for item in conversation:
+ # if item.get("tools"):
+ # tools = item["tools"]
+ # content = "你是一个名为 GhatGLM 的人工智能助手。你是基于智谱AI训练的语言模型 GLM-4 模型开发的,你的任务是针对用户的问题和要求提供适当的答复和支持。"
+ # content += "\n\n# 可用工具"
+ # for tool in tools:
+ # if tool["type"] == "function":
+ # function = tool["function"]
+ # content += f"\n\n## {function['name']}\n\n{json.dumps(function, ensure_ascii=False, indent=4)}"
+ # content += "\n在调用上述函数时,请使用 Json 格式表示调用的参数。"
+ # elif tool["type"] == "python":
+ # content += "\n\n## python\n\n当你向 `python` 发送包含 Python 代码的消息时,该代码将会在一个有状态的 Jupyter notebook 环境中执行。\n`python` 返回代码执行的输出,或在执行 60 秒后返回超时。\n`/mnt/data` 将会持久化存储你的文件。在此会话中,`python` 无法访问互联网。不要使用 `python` 进行任何网络请求或者在线 API 调用,这些在线内容的访问将不会成功。"
+ # elif tool["type"] == "simple_browser":
+ # content += "\n\n## simple_browser\n\n你可以使用 `simple_browser` 工具。该工具支持以下函数:\n`search(query: str, recency_days: int)`:使用搜索引擎进行查询并显示结果,可以使用 `recency_days` 参数控制搜索内容的时效性。\n`mclick(ids: list[int])`:获取一系列指定 id 的页面内容。每次调用时,须选择3-10个页面。选择多个角度的页面,同时尽可能选择可信任的信息来源。考虑到部分页面是无法加载的,你也可以多打开一些可能有用的页面而不用担心内容过多。\n`open_url(url: str)`:打开指定的 URL。\n\n使用 `【{引用 id}†{引用文本}】` 来引用内容。\n\n操作步骤:1. 使用 `search` 来获得信息列表; 2. 使用 `mclick` 来获取指定 ID 页面的内容; 3. 根据获得的内容进行回复。在回复中应当引用信息来源。\n 如果用户提供了 URL,也可以用 `open_url` 直接打开页面。\n如果初次搜索结果没有找到合适的信息,也可以再次使用 `search` 进行搜索。"
+ # elif tool["type"] == "cogview":
+ # content += "\n\n## cogview\n\n如果用户的请求中包含了对图像的描述,你可以使用 `cogview` 来生成图像并展示给用户。你需要向 `cogview` 发送图像描述,规则:\n- 发送给 `cogview` 的消息必须使用英语。用户的中文描述必须完全翻译为英语。\n- 应当尽可能详细地描述图像生成的需求,需求描述约 100 英文单词。\n- 保持用户原始描述的意图。不要虚构内容或者没见过的人物。\n- 如无特殊说明,所在地为中国,持有中国立场并遵循中国社会主义价值观。"
+ # else:
+ # raise NotImplementedError(f"Unknown tool type {tool['type']}")
+ # input = self.build_single_message("system", "", content, tokenize=tokenize)
+ # if tokenize:
+ # input_ids.extend(input)
+ # else:
+ # input_message += input
+ # if item["content"]:
+ # input = self.build_single_message(
+ # item["role"],
+ # item.get("metadata", ""),
+ # item["content"],
+ # tokenize=tokenize
+ # )
+ # if tokenize:
+ # input_ids.extend(input)
+ # else:
+ # input_message += input
+ # if add_generation_prompt:
+ # if tokenize:
+ # input_ids.extend([self.convert_tokens_to_ids("<|assistant|>")])
+ # else:
+ # input_message += "<|assistant|>"
+ # return input_ids if tokenize else input_message
+ #
+ # # Main logic to handle different conversation formats
+ # if isinstance(conversation, list) and all(isinstance(i, dict) for i in conversation):
+ # result = handle_single_conversation(conversation)
+ # elif isinstance(conversation, list) and all(isinstance(i, list) for i in conversation):
+ # result = [handle_single_conversation(c) for c in conversation]
+ # elif hasattr(conversation, "messages"):
+ # result = handle_single_conversation(conversation.messages)
+ # else:
+ # raise ValueError("Invalid conversation format")
+ #
+ # if tokenize:
+ # output = self.batch_encode_plus(
+ # [result] if isinstance(result[0], int) else result,
+ # padding=padding,
+ # truncation=truncation,
+ # max_length=max_length,
+ # return_tensors=return_tensors,
+ # is_split_into_words=True,
+ # add_special_tokens=False
+ # )
+ # if return_dict:
+ # return output
+ # else:
+ # return output["input_ids"]
+ # else:
+ # return result
+
+ def build_inputs_with_special_tokens(
+ self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
+ ) -> List[int]:
+ """
+ Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and
+ adding special tokens. A BERT sequence has the following format:
+
+ - single sequence: `[CLS] X [SEP]`
+ - pair of sequences: `[CLS] A [SEP] B [SEP]`
+
+ Args:
+ token_ids_0 (`List[int]`):
+ List of IDs to which the special tokens will be added.
+ token_ids_1 (`List[int]`, *optional*):
+ Optional second list of IDs for sequence pairs.
+
+ Returns:
+ `List[int]`: List of [input IDs](../glossary#input-ids) with the appropriate special tokens.
+ """
+ prefix_tokens = self.get_prefix_tokens()
+ token_ids_0 = prefix_tokens + token_ids_0
+ if token_ids_1 is not None:
+ token_ids_0 = token_ids_0 + token_ids_1 + [self.convert_tokens_to_ids("")]
+ return token_ids_0
+
+ def _pad(
+ self,
+ encoded_inputs: Union[Dict[str, EncodedInput], BatchEncoding],
+ max_length: Optional[int] = None,
+ padding_strategy: PaddingStrategy = PaddingStrategy.DO_NOT_PAD,
+ pad_to_multiple_of: Optional[int] = None,
+ return_attention_mask: Optional[bool] = None,
+ ) -> dict:
+ """
+ Pad encoded inputs (on left/right and up to predefined length or max length in the batch)
+
+ Args:
+ encoded_inputs:
+ Dictionary of tokenized inputs (`List[int]`) or batch of tokenized inputs (`List[List[int]]`).
+ max_length: maximum length of the returned list and optionally padding length (see below).
+ Will truncate by taking into account the special tokens.
+ padding_strategy: PaddingStrategy to use for padding.
+
+ - PaddingStrategy.LONGEST Pad to the longest sequence in the batch
+ - PaddingStrategy.MAX_LENGTH: Pad to the max length (default)
+ - PaddingStrategy.DO_NOT_PAD: Do not pad
+ The tokenizer padding sides are defined in self.padding_side:
+
+ - 'left': pads on the left of the sequences
+ - 'right': pads on the right of the sequences
+ pad_to_multiple_of: (optional) Integer if set will pad the sequence to a multiple of the provided value.
+ This is especially useful to enable the use of Tensor Core on NVIDIA hardware with compute capability
+ `>= 7.5` (Volta).
+ return_attention_mask:
+ (optional) Set to False to avoid returning attention mask (default: set to model specifics)
+ """
+ # Load from model defaults
+ assert self.padding_side == "left"
+
+ required_input = encoded_inputs[self.model_input_names[0]]
+ seq_length = len(required_input)
+
+ if padding_strategy == PaddingStrategy.LONGEST:
+ max_length = len(required_input)
+
+ if max_length is not None and pad_to_multiple_of is not None and (max_length % pad_to_multiple_of != 0):
+ max_length = ((max_length // pad_to_multiple_of) + 1) * pad_to_multiple_of
+
+ needs_to_be_padded = padding_strategy != PaddingStrategy.DO_NOT_PAD and len(required_input) != max_length
+
+ # Initialize attention mask if not present.
+ if "attention_mask" not in encoded_inputs:
+ encoded_inputs["attention_mask"] = [1] * seq_length
+
+ if "position_ids" not in encoded_inputs:
+ encoded_inputs["position_ids"] = list(range(seq_length))
+
+ if needs_to_be_padded:
+ difference = max_length - len(required_input)
+
+ if "attention_mask" in encoded_inputs:
+ encoded_inputs["attention_mask"] = [0] * difference + encoded_inputs["attention_mask"]
+ if "position_ids" in encoded_inputs:
+ encoded_inputs["position_ids"] = [0] * difference + encoded_inputs["position_ids"]
+ encoded_inputs[self.model_input_names[0]] = [self.pad_token_id] * difference + required_input
+
+ return encoded_inputs
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/tokenizer.model b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/tokenizer.model
new file mode 100644
index 0000000000000000000000000000000000000000..8650fd94d949375a2ab1f4975e7e6ff51ebc364a
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/tokenizer.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a493598071550244b2ee7f26118f3edec2150b9dfa967929a99052ac83fe716
+size 2623634
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/tokenizer_config.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..290fad7eade99ef9cda90a6092de906ef2d77acd
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/tokenizer_config.json
@@ -0,0 +1,148 @@
+{
+ "added_tokens_decoder": {
+ "151329": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151330": {
+ "content": "[MASK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151331": {
+ "content": "[gMASK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151332": {
+ "content": "[sMASK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151333": {
+ "content": "",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151334": {
+ "content": "",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151335": {
+ "content": "<|system|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151336": {
+ "content": "<|user|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151337": {
+ "content": "<|assistant|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151338": {
+ "content": "<|observation|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151339": {
+ "content": "<|begin_of_image|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151340": {
+ "content": "<|end_of_image|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151341": {
+ "content": "<|begin_of_video|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151342": {
+ "content": "<|end_of_video|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ }
+ },
+ "additional_special_tokens": [
+ "<|endoftext|>",
+ "[MASK]",
+ "[gMASK]",
+ "[sMASK]",
+ "",
+ "",
+ "<|system|>",
+ "<|user|>",
+ "<|assistant|>",
+ "<|observation|>",
+ "<|begin_of_image|>",
+ "<|end_of_image|>",
+ "<|begin_of_video|>",
+ "<|end_of_video|>"
+ ],
+ "auto_map": {
+ "AutoTokenizer": [
+ "tokenization_chatglm.ChatGLM4Tokenizer",
+ null
+ ]
+ },
+ "chat_template": "{{ '[gMASK]' }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|system|>\n' + system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|user|>\n' + content + '<|assistant|>' }}{% elif message['role'] == 'assistant' %}{{ '\n' + content }}{% endif %}{% endfor %}",
+ "clean_up_tokenization_spaces": false,
+ "do_lower_case": false,
+ "eos_token": "<|endoftext|>",
+ "model_max_length": 1024000,
+ "pad_token": "<|endoftext|>",
+ "padding_side": "right",
+ "remove_space": false,
+ "split_special_tokens": false,
+ "tokenizer_class": "ChatGLM4Tokenizer"
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/trainer_state.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..25dddb032a542bfeb3525b3f3479e740b89cde30
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/trainer_state.json
@@ -0,0 +1,296 @@
+{
+ "best_metric": null,
+ "best_model_checkpoint": null,
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+ "eval_steps": 175,
+ "global_step": 350,
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+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
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+ "learning_rate": 7.056435515653059e-05,
+ "loss": 0.1934,
+ "step": 300
+ },
+ {
+ "epoch": 1.7626154939587777,
+ "grad_norm": 1.4875357151031494,
+ "learning_rate": 6.826705121831976e-05,
+ "loss": 0.1782,
+ "step": 310
+ },
+ {
+ "epoch": 1.8194740582800284,
+ "grad_norm": 1.375095248222351,
+ "learning_rate": 6.592433251258423e-05,
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+ "step": 320
+ },
+ {
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+ "grad_norm": 1.3681703805923462,
+ "learning_rate": 6.354202340715026e-05,
+ "loss": 0.1862,
+ "step": 330
+ },
+ {
+ "epoch": 1.9331911869225302,
+ "grad_norm": 1.6180658340454102,
+ "learning_rate": 6.112604669781572e-05,
+ "loss": 0.2014,
+ "step": 340
+ },
+ {
+ "epoch": 1.9900497512437811,
+ "grad_norm": 1.4774919748306274,
+ "learning_rate": 5.868240888334653e-05,
+ "loss": 0.1917,
+ "step": 350
+ },
+ {
+ "epoch": 1.9900497512437811,
+ "eval_accuracy": 0.9307333333333332,
+ "eval_loss": 0.18561618030071259,
+ "eval_runtime": 136.2276,
+ "eval_samples_per_second": 18.352,
+ "eval_steps_per_second": 18.352,
+ "step": 350
+ }
+ ],
+ "logging_steps": 10,
+ "max_steps": 700,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 4,
+ "save_steps": 175,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 8.714468225636106e+17,
+ "train_batch_size": 16,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/training_args.bin b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..cfb1076c5086d85eb5b41ba3029eb40a7ca46797
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-350/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9e6f3241dabbb8a63b52024fb0fb0d68c85f4b48b07e8579ebd8f41fe5fd662
+size 5304
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/README.md b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..8a25a4498c7ba2e7ef04fc9e0ebdf0b56b6e55c6
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/README.md
@@ -0,0 +1,202 @@
+---
+library_name: peft
+base_model: THUDM/glm-4-9b-chat-1m
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.11.1
\ No newline at end of file
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/adapter_config.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8352756519b4695aff9957edb81be8b0520e47cf
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/adapter_config.json
@@ -0,0 +1,31 @@
+{
+ "alpha_pattern": {},
+ "auto_mapping": null,
+ "base_model_name_or_path": "THUDM/glm-4-9b-chat-1m",
+ "bias": "none",
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 16,
+ "lora_dropout": 0.0,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "r": 8,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "dense_h_to_4h",
+ "query_key_value",
+ "dense_4h_to_h",
+ "dense"
+ ],
+ "task_type": "CAUSAL_LM",
+ "use_dora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/adapter_model.safetensors b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/adapter_model.safetensors
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index 0000000000000000000000000000000000000000..4ff531ff9c82786bf18a3268edbb9e5b4ffbe25e
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+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8950e9830e197a7ba9feb5d7846eab5774492a29cc003e12509fb0a46fda573
+size 85409560
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/added_tokens.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/added_tokens.json
new file mode 100644
index 0000000000000000000000000000000000000000..f3a7f4eaefbf184faa4a5a188a399538df4c8c36
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/added_tokens.json
@@ -0,0 +1,16 @@
+{
+ "": 151334,
+ "": 151333,
+ "<|assistant|>": 151337,
+ "<|begin_of_image|>": 151339,
+ "<|begin_of_video|>": 151341,
+ "<|end_of_image|>": 151340,
+ "<|end_of_video|>": 151342,
+ "<|endoftext|>": 151329,
+ "<|observation|>": 151338,
+ "<|system|>": 151335,
+ "<|user|>": 151336,
+ "[MASK]": 151330,
+ "[gMASK]": 151331,
+ "[sMASK]": 151332
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/optimizer.pt b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/optimizer.pt
new file mode 100644
index 0000000000000000000000000000000000000000..eb7cf1321efcd3dec0c39820d33554301c965707
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/optimizer.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:492bcdefdfbfd8576f444c520cde808f197cf0229e536c2d5834485e478baf8a
+size 170990330
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/rng_state.pth b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/rng_state.pth
new file mode 100644
index 0000000000000000000000000000000000000000..41dfa7d7903dea42d227bad638c2c750928d590c
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c062f7f375beded48b5337f5a3f3a5cb38807fa3e85dbf3e294c0ab6b627bfc2
+size 14244
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/scheduler.pt b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/scheduler.pt
new file mode 100644
index 0000000000000000000000000000000000000000..c77dea7109c50be062f23627c8883058513fe0f3
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/scheduler.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eed90e588b5c04a63000dc8b8376b1e11f37980f3dd5d73e4c2a4b71a995cf3a
+size 1064
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/special_tokens_map.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..582da4ad333feaaa0c427b4678a3e48447ea932f
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/special_tokens_map.json
@@ -0,0 +1,32 @@
+{
+ "additional_special_tokens": [
+ "<|endoftext|>",
+ "[MASK]",
+ "[gMASK]",
+ "[sMASK]",
+ "",
+ "",
+ "<|system|>",
+ "<|user|>",
+ "<|assistant|>",
+ "<|observation|>",
+ "<|begin_of_image|>",
+ "<|end_of_image|>",
+ "<|begin_of_video|>",
+ "<|end_of_video|>"
+ ],
+ "eos_token": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ },
+ "pad_token": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ }
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/tokenization_chatglm.py b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/tokenization_chatglm.py
new file mode 100644
index 0000000000000000000000000000000000000000..7eeff3b02adcef48d4d69058ff36a390f6902273
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/tokenization_chatglm.py
@@ -0,0 +1,323 @@
+import regex as re
+import base64
+import os
+import json
+import tiktoken
+from torch import TensorType
+from typing import List, Optional, Union, Dict, Any
+from transformers import PreTrainedTokenizer
+from transformers.utils import logging, PaddingStrategy
+from transformers.tokenization_utils_base import EncodedInput, BatchEncoding
+
+
+class ChatGLM4Tokenizer(PreTrainedTokenizer):
+ vocab_files_names = {"vocab_file": "tokenizer.model"}
+ model_input_names = ["input_ids", "attention_mask", "position_ids"]
+
+ def __init__(
+ self,
+ vocab_file,
+ padding_side="left",
+ clean_up_tokenization_spaces=False,
+ encode_special_tokens=False,
+ **kwargs
+ ):
+ self.name = "GLM4Tokenizer"
+ self.vocab_file = vocab_file
+ pat_str = "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+"
+ self.pat_str = re.compile(pat_str)
+ self.encode_special_tokens = encode_special_tokens
+
+ mergeable_ranks = {}
+ with open(vocab_file) as f:
+ for line in f:
+ token, rank = line.strip().split()
+ rank = int(rank)
+ token = base64.b64decode(token)
+ mergeable_ranks[token] = rank
+
+ self.mergeable_ranks = mergeable_ranks
+
+ self.tokenizer = tiktoken.Encoding(
+ name="my_tokenizer",
+ pat_str=pat_str,
+ mergeable_ranks=mergeable_ranks,
+ special_tokens={}
+ )
+ self.decoder = {rank: token for token, rank in mergeable_ranks.items()}
+ self.n_words = len(self.decoder)
+
+ super().__init__(
+ padding_side=padding_side,
+ clean_up_tokenization_spaces=clean_up_tokenization_spaces,
+ **kwargs
+ )
+
+ @property
+ def vocab_size(self):
+ return self.n_words
+
+ def get_vocab(self):
+ """ Returns vocab as a dict """
+ vocab = {self._convert_id_to_token(i): i for i in range(self.vocab_size)}
+ vocab.update(self.added_tokens_encoder)
+ return vocab
+
+ def convert_tokens_to_string(self, tokens: List[Union[bytes, str, int]]) -> str:
+ """
+ Converts a sequence of tokens in a single string.
+ """
+ text = ""
+ temp = b""
+ for t in tokens:
+ if isinstance(t, int):
+ t = chr(t)
+ if isinstance(t, str):
+ if temp:
+ text += temp.decode("utf-8", errors="replace")
+ elif isinstance(t, bytes):
+ temp += t
+ else:
+ raise TypeError("token should only be of type int, bytes or str")
+ if temp:
+ text += temp.decode("utf-8", errors="replace")
+ return text
+
+ def _tokenize(self, text, **kwargs):
+ tokens = []
+ ids = self.tokenizer.encode(text)
+ for t in ids:
+ tokens.append(self.decoder[t])
+ return tokens
+
+ def _convert_token_to_id(self, token):
+ """ Converts a token (str) in an id using the vocab. """
+ return self.mergeable_ranks[token]
+
+ def _convert_id_to_token(self, index):
+ """Converts an index (integer) in a token (str) using the vocab."""
+ return self.decoder.get(index, "")
+
+ def save_vocabulary(self, save_directory, filename_prefix=None):
+ """
+ Save the vocabulary and special tokens file to a directory.
+
+ Args:
+ save_directory (`str`):
+ The directory in which to save the vocabulary.
+ filename_prefix (`str`, *optional*):
+ An optional prefix to add to the named of the saved files.
+
+ Returns:
+ `Tuple(str)`: Paths to the files saved.
+ """
+ if os.path.isdir(save_directory):
+ vocab_file = os.path.join(
+ save_directory, self.vocab_files_names["vocab_file"]
+ )
+ else:
+ vocab_file = save_directory
+
+ with open(self.vocab_file, 'rb') as fin:
+ proto_str = fin.read()
+
+ with open(vocab_file, "wb") as writer:
+ writer.write(proto_str)
+
+ return (vocab_file,)
+
+ def get_prefix_tokens(self):
+ prefix_tokens = [self.convert_tokens_to_ids("[gMASK]"), self.convert_tokens_to_ids("")]
+ return prefix_tokens
+
+ def build_single_message(self, role, metadata, message, tokenize=True):
+ assert role in ["system", "user", "assistant", "observation"], role
+ if tokenize:
+ role_tokens = [self.convert_tokens_to_ids(f"<|{role}|>")] + self.tokenizer.encode(f"{metadata}\n",
+ disallowed_special=())
+ message_tokens = self.tokenizer.encode(message, disallowed_special=())
+ tokens = role_tokens + message_tokens
+ return tokens
+ else:
+ return str(f"<|{role}|>{metadata}\n{message}")
+
+ # Use Jinja Template in tokenizer_config.json
+ # def apply_chat_template(
+ # self,
+ # conversation: Union[List[Dict[str, str]], List[List[Dict[str, str]]], "Conversation"],
+ # add_generation_prompt: bool = False,
+ # tokenize: bool = True,
+ # padding: bool = False,
+ # truncation: bool = False,
+ # max_length: Optional[int] = None,
+ # return_tensors: Optional[Union[str, TensorType]] = None,
+ # return_dict: bool = False,
+ # tokenizer_kwargs: Optional[Dict[str, Any]] = None,
+ # add_special_tokens: bool = True,
+ # **kwargs,
+ # ) -> Union[str, List[int], List[str], List[List[int]], BatchEncoding]:
+ #
+ # if return_dict and not tokenize:
+ # raise ValueError(
+ # "`return_dict=True` is incompatible with `tokenize=False`, because there is no dict "
+ # "of tokenizer outputs to return."
+ # )
+ #
+ # def handle_single_conversation(conversation):
+ # input_ids = self.get_prefix_tokens() if add_special_tokens else []
+ # input_message = "[gMASK]" if add_special_tokens else ""
+ # for item in conversation:
+ # if item.get("tools"):
+ # tools = item["tools"]
+ # content = "你是一个名为 GhatGLM 的人工智能助手。你是基于智谱AI训练的语言模型 GLM-4 模型开发的,你的任务是针对用户的问题和要求提供适当的答复和支持。"
+ # content += "\n\n# 可用工具"
+ # for tool in tools:
+ # if tool["type"] == "function":
+ # function = tool["function"]
+ # content += f"\n\n## {function['name']}\n\n{json.dumps(function, ensure_ascii=False, indent=4)}"
+ # content += "\n在调用上述函数时,请使用 Json 格式表示调用的参数。"
+ # elif tool["type"] == "python":
+ # content += "\n\n## python\n\n当你向 `python` 发送包含 Python 代码的消息时,该代码将会在一个有状态的 Jupyter notebook 环境中执行。\n`python` 返回代码执行的输出,或在执行 60 秒后返回超时。\n`/mnt/data` 将会持久化存储你的文件。在此会话中,`python` 无法访问互联网。不要使用 `python` 进行任何网络请求或者在线 API 调用,这些在线内容的访问将不会成功。"
+ # elif tool["type"] == "simple_browser":
+ # content += "\n\n## simple_browser\n\n你可以使用 `simple_browser` 工具。该工具支持以下函数:\n`search(query: str, recency_days: int)`:使用搜索引擎进行查询并显示结果,可以使用 `recency_days` 参数控制搜索内容的时效性。\n`mclick(ids: list[int])`:获取一系列指定 id 的页面内容。每次调用时,须选择3-10个页面。选择多个角度的页面,同时尽可能选择可信任的信息来源。考虑到部分页面是无法加载的,你也可以多打开一些可能有用的页面而不用担心内容过多。\n`open_url(url: str)`:打开指定的 URL。\n\n使用 `【{引用 id}†{引用文本}】` 来引用内容。\n\n操作步骤:1. 使用 `search` 来获得信息列表; 2. 使用 `mclick` 来获取指定 ID 页面的内容; 3. 根据获得的内容进行回复。在回复中应当引用信息来源。\n 如果用户提供了 URL,也可以用 `open_url` 直接打开页面。\n如果初次搜索结果没有找到合适的信息,也可以再次使用 `search` 进行搜索。"
+ # elif tool["type"] == "cogview":
+ # content += "\n\n## cogview\n\n如果用户的请求中包含了对图像的描述,你可以使用 `cogview` 来生成图像并展示给用户。你需要向 `cogview` 发送图像描述,规则:\n- 发送给 `cogview` 的消息必须使用英语。用户的中文描述必须完全翻译为英语。\n- 应当尽可能详细地描述图像生成的需求,需求描述约 100 英文单词。\n- 保持用户原始描述的意图。不要虚构内容或者没见过的人物。\n- 如无特殊说明,所在地为中国,持有中国立场并遵循中国社会主义价值观。"
+ # else:
+ # raise NotImplementedError(f"Unknown tool type {tool['type']}")
+ # input = self.build_single_message("system", "", content, tokenize=tokenize)
+ # if tokenize:
+ # input_ids.extend(input)
+ # else:
+ # input_message += input
+ # if item["content"]:
+ # input = self.build_single_message(
+ # item["role"],
+ # item.get("metadata", ""),
+ # item["content"],
+ # tokenize=tokenize
+ # )
+ # if tokenize:
+ # input_ids.extend(input)
+ # else:
+ # input_message += input
+ # if add_generation_prompt:
+ # if tokenize:
+ # input_ids.extend([self.convert_tokens_to_ids("<|assistant|>")])
+ # else:
+ # input_message += "<|assistant|>"
+ # return input_ids if tokenize else input_message
+ #
+ # # Main logic to handle different conversation formats
+ # if isinstance(conversation, list) and all(isinstance(i, dict) for i in conversation):
+ # result = handle_single_conversation(conversation)
+ # elif isinstance(conversation, list) and all(isinstance(i, list) for i in conversation):
+ # result = [handle_single_conversation(c) for c in conversation]
+ # elif hasattr(conversation, "messages"):
+ # result = handle_single_conversation(conversation.messages)
+ # else:
+ # raise ValueError("Invalid conversation format")
+ #
+ # if tokenize:
+ # output = self.batch_encode_plus(
+ # [result] if isinstance(result[0], int) else result,
+ # padding=padding,
+ # truncation=truncation,
+ # max_length=max_length,
+ # return_tensors=return_tensors,
+ # is_split_into_words=True,
+ # add_special_tokens=False
+ # )
+ # if return_dict:
+ # return output
+ # else:
+ # return output["input_ids"]
+ # else:
+ # return result
+
+ def build_inputs_with_special_tokens(
+ self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
+ ) -> List[int]:
+ """
+ Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and
+ adding special tokens. A BERT sequence has the following format:
+
+ - single sequence: `[CLS] X [SEP]`
+ - pair of sequences: `[CLS] A [SEP] B [SEP]`
+
+ Args:
+ token_ids_0 (`List[int]`):
+ List of IDs to which the special tokens will be added.
+ token_ids_1 (`List[int]`, *optional*):
+ Optional second list of IDs for sequence pairs.
+
+ Returns:
+ `List[int]`: List of [input IDs](../glossary#input-ids) with the appropriate special tokens.
+ """
+ prefix_tokens = self.get_prefix_tokens()
+ token_ids_0 = prefix_tokens + token_ids_0
+ if token_ids_1 is not None:
+ token_ids_0 = token_ids_0 + token_ids_1 + [self.convert_tokens_to_ids("")]
+ return token_ids_0
+
+ def _pad(
+ self,
+ encoded_inputs: Union[Dict[str, EncodedInput], BatchEncoding],
+ max_length: Optional[int] = None,
+ padding_strategy: PaddingStrategy = PaddingStrategy.DO_NOT_PAD,
+ pad_to_multiple_of: Optional[int] = None,
+ return_attention_mask: Optional[bool] = None,
+ ) -> dict:
+ """
+ Pad encoded inputs (on left/right and up to predefined length or max length in the batch)
+
+ Args:
+ encoded_inputs:
+ Dictionary of tokenized inputs (`List[int]`) or batch of tokenized inputs (`List[List[int]]`).
+ max_length: maximum length of the returned list and optionally padding length (see below).
+ Will truncate by taking into account the special tokens.
+ padding_strategy: PaddingStrategy to use for padding.
+
+ - PaddingStrategy.LONGEST Pad to the longest sequence in the batch
+ - PaddingStrategy.MAX_LENGTH: Pad to the max length (default)
+ - PaddingStrategy.DO_NOT_PAD: Do not pad
+ The tokenizer padding sides are defined in self.padding_side:
+
+ - 'left': pads on the left of the sequences
+ - 'right': pads on the right of the sequences
+ pad_to_multiple_of: (optional) Integer if set will pad the sequence to a multiple of the provided value.
+ This is especially useful to enable the use of Tensor Core on NVIDIA hardware with compute capability
+ `>= 7.5` (Volta).
+ return_attention_mask:
+ (optional) Set to False to avoid returning attention mask (default: set to model specifics)
+ """
+ # Load from model defaults
+ assert self.padding_side == "left"
+
+ required_input = encoded_inputs[self.model_input_names[0]]
+ seq_length = len(required_input)
+
+ if padding_strategy == PaddingStrategy.LONGEST:
+ max_length = len(required_input)
+
+ if max_length is not None and pad_to_multiple_of is not None and (max_length % pad_to_multiple_of != 0):
+ max_length = ((max_length // pad_to_multiple_of) + 1) * pad_to_multiple_of
+
+ needs_to_be_padded = padding_strategy != PaddingStrategy.DO_NOT_PAD and len(required_input) != max_length
+
+ # Initialize attention mask if not present.
+ if "attention_mask" not in encoded_inputs:
+ encoded_inputs["attention_mask"] = [1] * seq_length
+
+ if "position_ids" not in encoded_inputs:
+ encoded_inputs["position_ids"] = list(range(seq_length))
+
+ if needs_to_be_padded:
+ difference = max_length - len(required_input)
+
+ if "attention_mask" in encoded_inputs:
+ encoded_inputs["attention_mask"] = [0] * difference + encoded_inputs["attention_mask"]
+ if "position_ids" in encoded_inputs:
+ encoded_inputs["position_ids"] = [0] * difference + encoded_inputs["position_ids"]
+ encoded_inputs[self.model_input_names[0]] = [self.pad_token_id] * difference + required_input
+
+ return encoded_inputs
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/tokenizer.model b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/tokenizer.model
new file mode 100644
index 0000000000000000000000000000000000000000..8650fd94d949375a2ab1f4975e7e6ff51ebc364a
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/tokenizer.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a493598071550244b2ee7f26118f3edec2150b9dfa967929a99052ac83fe716
+size 2623634
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/tokenizer_config.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..290fad7eade99ef9cda90a6092de906ef2d77acd
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/tokenizer_config.json
@@ -0,0 +1,148 @@
+{
+ "added_tokens_decoder": {
+ "151329": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151330": {
+ "content": "[MASK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151331": {
+ "content": "[gMASK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151332": {
+ "content": "[sMASK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151333": {
+ "content": "",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151334": {
+ "content": "",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151335": {
+ "content": "<|system|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151336": {
+ "content": "<|user|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151337": {
+ "content": "<|assistant|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151338": {
+ "content": "<|observation|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151339": {
+ "content": "<|begin_of_image|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151340": {
+ "content": "<|end_of_image|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151341": {
+ "content": "<|begin_of_video|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151342": {
+ "content": "<|end_of_video|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ }
+ },
+ "additional_special_tokens": [
+ "<|endoftext|>",
+ "[MASK]",
+ "[gMASK]",
+ "[sMASK]",
+ "",
+ "",
+ "<|system|>",
+ "<|user|>",
+ "<|assistant|>",
+ "<|observation|>",
+ "<|begin_of_image|>",
+ "<|end_of_image|>",
+ "<|begin_of_video|>",
+ "<|end_of_video|>"
+ ],
+ "auto_map": {
+ "AutoTokenizer": [
+ "tokenization_chatglm.ChatGLM4Tokenizer",
+ null
+ ]
+ },
+ "chat_template": "{{ '[gMASK]' }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|system|>\n' + system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|user|>\n' + content + '<|assistant|>' }}{% elif message['role'] == 'assistant' %}{{ '\n' + content }}{% endif %}{% endfor %}",
+ "clean_up_tokenization_spaces": false,
+ "do_lower_case": false,
+ "eos_token": "<|endoftext|>",
+ "model_max_length": 1024000,
+ "pad_token": "<|endoftext|>",
+ "padding_side": "right",
+ "remove_space": false,
+ "split_special_tokens": false,
+ "tokenizer_class": "ChatGLM4Tokenizer"
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/trainer_state.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/trainer_state.json
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index 0000000000000000000000000000000000000000..4936f58c25235fb5f329caf56ec929eb084d8d8b
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/trainer_state.json
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+ {
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+ "eval_accuracy": 0.9336866666666667,
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+ "eval_runtime": 136.2237,
+ "eval_samples_per_second": 18.352,
+ "eval_steps_per_second": 18.352,
+ "step": 525
+ }
+ ],
+ "logging_steps": 10,
+ "max_steps": 700,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 4,
+ "save_steps": 175,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 1.3072222611324273e+18,
+ "train_batch_size": 16,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/training_args.bin b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..cfb1076c5086d85eb5b41ba3029eb40a7ca46797
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-525/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9e6f3241dabbb8a63b52024fb0fb0d68c85f4b48b07e8579ebd8f41fe5fd662
+size 5304
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/README.md b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..8a25a4498c7ba2e7ef04fc9e0ebdf0b56b6e55c6
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/README.md
@@ -0,0 +1,202 @@
+---
+library_name: peft
+base_model: THUDM/glm-4-9b-chat-1m
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.11.1
\ No newline at end of file
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/adapter_config.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8352756519b4695aff9957edb81be8b0520e47cf
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/adapter_config.json
@@ -0,0 +1,31 @@
+{
+ "alpha_pattern": {},
+ "auto_mapping": null,
+ "base_model_name_or_path": "THUDM/glm-4-9b-chat-1m",
+ "bias": "none",
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 16,
+ "lora_dropout": 0.0,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "r": 8,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "dense_h_to_4h",
+ "query_key_value",
+ "dense_4h_to_h",
+ "dense"
+ ],
+ "task_type": "CAUSAL_LM",
+ "use_dora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/adapter_model.safetensors b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/adapter_model.safetensors
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+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:779d919e4e576eb536f72ff440fea92eb01a8b6522a276d586a48fc2f24d1fd2
+size 85409560
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/added_tokens.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/added_tokens.json
new file mode 100644
index 0000000000000000000000000000000000000000..f3a7f4eaefbf184faa4a5a188a399538df4c8c36
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/added_tokens.json
@@ -0,0 +1,16 @@
+{
+ "": 151334,
+ "": 151333,
+ "<|assistant|>": 151337,
+ "<|begin_of_image|>": 151339,
+ "<|begin_of_video|>": 151341,
+ "<|end_of_image|>": 151340,
+ "<|end_of_video|>": 151342,
+ "<|endoftext|>": 151329,
+ "<|observation|>": 151338,
+ "<|system|>": 151335,
+ "<|user|>": 151336,
+ "[MASK]": 151330,
+ "[gMASK]": 151331,
+ "[sMASK]": 151332
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/optimizer.pt b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/optimizer.pt
new file mode 100644
index 0000000000000000000000000000000000000000..89c24cb8702942668df90b0d3fd0da9e9b1fb217
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/optimizer.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:92bd1c22beb1c031df655116b2f7d144a6d526f3f72e70b5ec7d557642638d45
+size 170990330
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/rng_state.pth b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/rng_state.pth
new file mode 100644
index 0000000000000000000000000000000000000000..407e47abbdfb90afd3e1f979b5c0260135d2050e
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9899ccda7f0d8d9511991180b93aab508ce6e8489de708c88ad1188e7e1d90d6
+size 14244
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/scheduler.pt b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/scheduler.pt
new file mode 100644
index 0000000000000000000000000000000000000000..d0d8d3e64bba25db69b78d81bdc703d70db4b3ca
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/scheduler.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:74a7bc0ea23e97876353b7517a7237588b1de0e7b7ef6fb965a1bbd1c649f55b
+size 1064
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/special_tokens_map.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..582da4ad333feaaa0c427b4678a3e48447ea932f
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/special_tokens_map.json
@@ -0,0 +1,32 @@
+{
+ "additional_special_tokens": [
+ "<|endoftext|>",
+ "[MASK]",
+ "[gMASK]",
+ "[sMASK]",
+ "",
+ "",
+ "<|system|>",
+ "<|user|>",
+ "<|assistant|>",
+ "<|observation|>",
+ "<|begin_of_image|>",
+ "<|end_of_image|>",
+ "<|begin_of_video|>",
+ "<|end_of_video|>"
+ ],
+ "eos_token": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ },
+ "pad_token": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ }
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/tokenization_chatglm.py b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/tokenization_chatglm.py
new file mode 100644
index 0000000000000000000000000000000000000000..7eeff3b02adcef48d4d69058ff36a390f6902273
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/tokenization_chatglm.py
@@ -0,0 +1,323 @@
+import regex as re
+import base64
+import os
+import json
+import tiktoken
+from torch import TensorType
+from typing import List, Optional, Union, Dict, Any
+from transformers import PreTrainedTokenizer
+from transformers.utils import logging, PaddingStrategy
+from transformers.tokenization_utils_base import EncodedInput, BatchEncoding
+
+
+class ChatGLM4Tokenizer(PreTrainedTokenizer):
+ vocab_files_names = {"vocab_file": "tokenizer.model"}
+ model_input_names = ["input_ids", "attention_mask", "position_ids"]
+
+ def __init__(
+ self,
+ vocab_file,
+ padding_side="left",
+ clean_up_tokenization_spaces=False,
+ encode_special_tokens=False,
+ **kwargs
+ ):
+ self.name = "GLM4Tokenizer"
+ self.vocab_file = vocab_file
+ pat_str = "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+"
+ self.pat_str = re.compile(pat_str)
+ self.encode_special_tokens = encode_special_tokens
+
+ mergeable_ranks = {}
+ with open(vocab_file) as f:
+ for line in f:
+ token, rank = line.strip().split()
+ rank = int(rank)
+ token = base64.b64decode(token)
+ mergeable_ranks[token] = rank
+
+ self.mergeable_ranks = mergeable_ranks
+
+ self.tokenizer = tiktoken.Encoding(
+ name="my_tokenizer",
+ pat_str=pat_str,
+ mergeable_ranks=mergeable_ranks,
+ special_tokens={}
+ )
+ self.decoder = {rank: token for token, rank in mergeable_ranks.items()}
+ self.n_words = len(self.decoder)
+
+ super().__init__(
+ padding_side=padding_side,
+ clean_up_tokenization_spaces=clean_up_tokenization_spaces,
+ **kwargs
+ )
+
+ @property
+ def vocab_size(self):
+ return self.n_words
+
+ def get_vocab(self):
+ """ Returns vocab as a dict """
+ vocab = {self._convert_id_to_token(i): i for i in range(self.vocab_size)}
+ vocab.update(self.added_tokens_encoder)
+ return vocab
+
+ def convert_tokens_to_string(self, tokens: List[Union[bytes, str, int]]) -> str:
+ """
+ Converts a sequence of tokens in a single string.
+ """
+ text = ""
+ temp = b""
+ for t in tokens:
+ if isinstance(t, int):
+ t = chr(t)
+ if isinstance(t, str):
+ if temp:
+ text += temp.decode("utf-8", errors="replace")
+ elif isinstance(t, bytes):
+ temp += t
+ else:
+ raise TypeError("token should only be of type int, bytes or str")
+ if temp:
+ text += temp.decode("utf-8", errors="replace")
+ return text
+
+ def _tokenize(self, text, **kwargs):
+ tokens = []
+ ids = self.tokenizer.encode(text)
+ for t in ids:
+ tokens.append(self.decoder[t])
+ return tokens
+
+ def _convert_token_to_id(self, token):
+ """ Converts a token (str) in an id using the vocab. """
+ return self.mergeable_ranks[token]
+
+ def _convert_id_to_token(self, index):
+ """Converts an index (integer) in a token (str) using the vocab."""
+ return self.decoder.get(index, "")
+
+ def save_vocabulary(self, save_directory, filename_prefix=None):
+ """
+ Save the vocabulary and special tokens file to a directory.
+
+ Args:
+ save_directory (`str`):
+ The directory in which to save the vocabulary.
+ filename_prefix (`str`, *optional*):
+ An optional prefix to add to the named of the saved files.
+
+ Returns:
+ `Tuple(str)`: Paths to the files saved.
+ """
+ if os.path.isdir(save_directory):
+ vocab_file = os.path.join(
+ save_directory, self.vocab_files_names["vocab_file"]
+ )
+ else:
+ vocab_file = save_directory
+
+ with open(self.vocab_file, 'rb') as fin:
+ proto_str = fin.read()
+
+ with open(vocab_file, "wb") as writer:
+ writer.write(proto_str)
+
+ return (vocab_file,)
+
+ def get_prefix_tokens(self):
+ prefix_tokens = [self.convert_tokens_to_ids("[gMASK]"), self.convert_tokens_to_ids("")]
+ return prefix_tokens
+
+ def build_single_message(self, role, metadata, message, tokenize=True):
+ assert role in ["system", "user", "assistant", "observation"], role
+ if tokenize:
+ role_tokens = [self.convert_tokens_to_ids(f"<|{role}|>")] + self.tokenizer.encode(f"{metadata}\n",
+ disallowed_special=())
+ message_tokens = self.tokenizer.encode(message, disallowed_special=())
+ tokens = role_tokens + message_tokens
+ return tokens
+ else:
+ return str(f"<|{role}|>{metadata}\n{message}")
+
+ # Use Jinja Template in tokenizer_config.json
+ # def apply_chat_template(
+ # self,
+ # conversation: Union[List[Dict[str, str]], List[List[Dict[str, str]]], "Conversation"],
+ # add_generation_prompt: bool = False,
+ # tokenize: bool = True,
+ # padding: bool = False,
+ # truncation: bool = False,
+ # max_length: Optional[int] = None,
+ # return_tensors: Optional[Union[str, TensorType]] = None,
+ # return_dict: bool = False,
+ # tokenizer_kwargs: Optional[Dict[str, Any]] = None,
+ # add_special_tokens: bool = True,
+ # **kwargs,
+ # ) -> Union[str, List[int], List[str], List[List[int]], BatchEncoding]:
+ #
+ # if return_dict and not tokenize:
+ # raise ValueError(
+ # "`return_dict=True` is incompatible with `tokenize=False`, because there is no dict "
+ # "of tokenizer outputs to return."
+ # )
+ #
+ # def handle_single_conversation(conversation):
+ # input_ids = self.get_prefix_tokens() if add_special_tokens else []
+ # input_message = "[gMASK]" if add_special_tokens else ""
+ # for item in conversation:
+ # if item.get("tools"):
+ # tools = item["tools"]
+ # content = "你是一个名为 GhatGLM 的人工智能助手。你是基于智谱AI训练的语言模型 GLM-4 模型开发的,你的任务是针对用户的问题和要求提供适当的答复和支持。"
+ # content += "\n\n# 可用工具"
+ # for tool in tools:
+ # if tool["type"] == "function":
+ # function = tool["function"]
+ # content += f"\n\n## {function['name']}\n\n{json.dumps(function, ensure_ascii=False, indent=4)}"
+ # content += "\n在调用上述函数时,请使用 Json 格式表示调用的参数。"
+ # elif tool["type"] == "python":
+ # content += "\n\n## python\n\n当你向 `python` 发送包含 Python 代码的消息时,该代码将会在一个有状态的 Jupyter notebook 环境中执行。\n`python` 返回代码执行的输出,或在执行 60 秒后返回超时。\n`/mnt/data` 将会持久化存储你的文件。在此会话中,`python` 无法访问互联网。不要使用 `python` 进行任何网络请求或者在线 API 调用,这些在线内容的访问将不会成功。"
+ # elif tool["type"] == "simple_browser":
+ # content += "\n\n## simple_browser\n\n你可以使用 `simple_browser` 工具。该工具支持以下函数:\n`search(query: str, recency_days: int)`:使用搜索引擎进行查询并显示结果,可以使用 `recency_days` 参数控制搜索内容的时效性。\n`mclick(ids: list[int])`:获取一系列指定 id 的页面内容。每次调用时,须选择3-10个页面。选择多个角度的页面,同时尽可能选择可信任的信息来源。考虑到部分页面是无法加载的,你也可以多打开一些可能有用的页面而不用担心内容过多。\n`open_url(url: str)`:打开指定的 URL。\n\n使用 `【{引用 id}†{引用文本}】` 来引用内容。\n\n操作步骤:1. 使用 `search` 来获得信息列表; 2. 使用 `mclick` 来获取指定 ID 页面的内容; 3. 根据获得的内容进行回复。在回复中应当引用信息来源。\n 如果用户提供了 URL,也可以用 `open_url` 直接打开页面。\n如果初次搜索结果没有找到合适的信息,也可以再次使用 `search` 进行搜索。"
+ # elif tool["type"] == "cogview":
+ # content += "\n\n## cogview\n\n如果用户的请求中包含了对图像的描述,你可以使用 `cogview` 来生成图像并展示给用户。你需要向 `cogview` 发送图像描述,规则:\n- 发送给 `cogview` 的消息必须使用英语。用户的中文描述必须完全翻译为英语。\n- 应当尽可能详细地描述图像生成的需求,需求描述约 100 英文单词。\n- 保持用户原始描述的意图。不要虚构内容或者没见过的人物。\n- 如无特殊说明,所在地为中国,持有中国立场并遵循中国社会主义价值观。"
+ # else:
+ # raise NotImplementedError(f"Unknown tool type {tool['type']}")
+ # input = self.build_single_message("system", "", content, tokenize=tokenize)
+ # if tokenize:
+ # input_ids.extend(input)
+ # else:
+ # input_message += input
+ # if item["content"]:
+ # input = self.build_single_message(
+ # item["role"],
+ # item.get("metadata", ""),
+ # item["content"],
+ # tokenize=tokenize
+ # )
+ # if tokenize:
+ # input_ids.extend(input)
+ # else:
+ # input_message += input
+ # if add_generation_prompt:
+ # if tokenize:
+ # input_ids.extend([self.convert_tokens_to_ids("<|assistant|>")])
+ # else:
+ # input_message += "<|assistant|>"
+ # return input_ids if tokenize else input_message
+ #
+ # # Main logic to handle different conversation formats
+ # if isinstance(conversation, list) and all(isinstance(i, dict) for i in conversation):
+ # result = handle_single_conversation(conversation)
+ # elif isinstance(conversation, list) and all(isinstance(i, list) for i in conversation):
+ # result = [handle_single_conversation(c) for c in conversation]
+ # elif hasattr(conversation, "messages"):
+ # result = handle_single_conversation(conversation.messages)
+ # else:
+ # raise ValueError("Invalid conversation format")
+ #
+ # if tokenize:
+ # output = self.batch_encode_plus(
+ # [result] if isinstance(result[0], int) else result,
+ # padding=padding,
+ # truncation=truncation,
+ # max_length=max_length,
+ # return_tensors=return_tensors,
+ # is_split_into_words=True,
+ # add_special_tokens=False
+ # )
+ # if return_dict:
+ # return output
+ # else:
+ # return output["input_ids"]
+ # else:
+ # return result
+
+ def build_inputs_with_special_tokens(
+ self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
+ ) -> List[int]:
+ """
+ Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and
+ adding special tokens. A BERT sequence has the following format:
+
+ - single sequence: `[CLS] X [SEP]`
+ - pair of sequences: `[CLS] A [SEP] B [SEP]`
+
+ Args:
+ token_ids_0 (`List[int]`):
+ List of IDs to which the special tokens will be added.
+ token_ids_1 (`List[int]`, *optional*):
+ Optional second list of IDs for sequence pairs.
+
+ Returns:
+ `List[int]`: List of [input IDs](../glossary#input-ids) with the appropriate special tokens.
+ """
+ prefix_tokens = self.get_prefix_tokens()
+ token_ids_0 = prefix_tokens + token_ids_0
+ if token_ids_1 is not None:
+ token_ids_0 = token_ids_0 + token_ids_1 + [self.convert_tokens_to_ids("")]
+ return token_ids_0
+
+ def _pad(
+ self,
+ encoded_inputs: Union[Dict[str, EncodedInput], BatchEncoding],
+ max_length: Optional[int] = None,
+ padding_strategy: PaddingStrategy = PaddingStrategy.DO_NOT_PAD,
+ pad_to_multiple_of: Optional[int] = None,
+ return_attention_mask: Optional[bool] = None,
+ ) -> dict:
+ """
+ Pad encoded inputs (on left/right and up to predefined length or max length in the batch)
+
+ Args:
+ encoded_inputs:
+ Dictionary of tokenized inputs (`List[int]`) or batch of tokenized inputs (`List[List[int]]`).
+ max_length: maximum length of the returned list and optionally padding length (see below).
+ Will truncate by taking into account the special tokens.
+ padding_strategy: PaddingStrategy to use for padding.
+
+ - PaddingStrategy.LONGEST Pad to the longest sequence in the batch
+ - PaddingStrategy.MAX_LENGTH: Pad to the max length (default)
+ - PaddingStrategy.DO_NOT_PAD: Do not pad
+ The tokenizer padding sides are defined in self.padding_side:
+
+ - 'left': pads on the left of the sequences
+ - 'right': pads on the right of the sequences
+ pad_to_multiple_of: (optional) Integer if set will pad the sequence to a multiple of the provided value.
+ This is especially useful to enable the use of Tensor Core on NVIDIA hardware with compute capability
+ `>= 7.5` (Volta).
+ return_attention_mask:
+ (optional) Set to False to avoid returning attention mask (default: set to model specifics)
+ """
+ # Load from model defaults
+ assert self.padding_side == "left"
+
+ required_input = encoded_inputs[self.model_input_names[0]]
+ seq_length = len(required_input)
+
+ if padding_strategy == PaddingStrategy.LONGEST:
+ max_length = len(required_input)
+
+ if max_length is not None and pad_to_multiple_of is not None and (max_length % pad_to_multiple_of != 0):
+ max_length = ((max_length // pad_to_multiple_of) + 1) * pad_to_multiple_of
+
+ needs_to_be_padded = padding_strategy != PaddingStrategy.DO_NOT_PAD and len(required_input) != max_length
+
+ # Initialize attention mask if not present.
+ if "attention_mask" not in encoded_inputs:
+ encoded_inputs["attention_mask"] = [1] * seq_length
+
+ if "position_ids" not in encoded_inputs:
+ encoded_inputs["position_ids"] = list(range(seq_length))
+
+ if needs_to_be_padded:
+ difference = max_length - len(required_input)
+
+ if "attention_mask" in encoded_inputs:
+ encoded_inputs["attention_mask"] = [0] * difference + encoded_inputs["attention_mask"]
+ if "position_ids" in encoded_inputs:
+ encoded_inputs["position_ids"] = [0] * difference + encoded_inputs["position_ids"]
+ encoded_inputs[self.model_input_names[0]] = [self.pad_token_id] * difference + required_input
+
+ return encoded_inputs
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/tokenizer.model b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/tokenizer.model
new file mode 100644
index 0000000000000000000000000000000000000000..8650fd94d949375a2ab1f4975e7e6ff51ebc364a
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/tokenizer.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a493598071550244b2ee7f26118f3edec2150b9dfa967929a99052ac83fe716
+size 2623634
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/tokenizer_config.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..290fad7eade99ef9cda90a6092de906ef2d77acd
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/tokenizer_config.json
@@ -0,0 +1,148 @@
+{
+ "added_tokens_decoder": {
+ "151329": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151330": {
+ "content": "[MASK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151331": {
+ "content": "[gMASK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151332": {
+ "content": "[sMASK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151333": {
+ "content": "",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151334": {
+ "content": "",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151335": {
+ "content": "<|system|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151336": {
+ "content": "<|user|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151337": {
+ "content": "<|assistant|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151338": {
+ "content": "<|observation|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151339": {
+ "content": "<|begin_of_image|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151340": {
+ "content": "<|end_of_image|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151341": {
+ "content": "<|begin_of_video|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151342": {
+ "content": "<|end_of_video|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ }
+ },
+ "additional_special_tokens": [
+ "<|endoftext|>",
+ "[MASK]",
+ "[gMASK]",
+ "[sMASK]",
+ "",
+ "",
+ "<|system|>",
+ "<|user|>",
+ "<|assistant|>",
+ "<|observation|>",
+ "<|begin_of_image|>",
+ "<|end_of_image|>",
+ "<|begin_of_video|>",
+ "<|end_of_video|>"
+ ],
+ "auto_map": {
+ "AutoTokenizer": [
+ "tokenization_chatglm.ChatGLM4Tokenizer",
+ null
+ ]
+ },
+ "chat_template": "{{ '[gMASK]' }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|system|>\n' + system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|user|>\n' + content + '<|assistant|>' }}{% elif message['role'] == 'assistant' %}{{ '\n' + content }}{% endif %}{% endfor %}",
+ "clean_up_tokenization_spaces": false,
+ "do_lower_case": false,
+ "eos_token": "<|endoftext|>",
+ "model_max_length": 1024000,
+ "pad_token": "<|endoftext|>",
+ "padding_side": "right",
+ "remove_space": false,
+ "split_special_tokens": false,
+ "tokenizer_class": "ChatGLM4Tokenizer"
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/trainer_state.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..dc0a4b74805b114d775554e6a2326ff3cd231a7a
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/trainer_state.json
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+{
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+ "eval_runtime": 136.1764,
+ "eval_samples_per_second": 18.359,
+ "eval_steps_per_second": 18.359,
+ "step": 700
+ }
+ ],
+ "logging_steps": 10,
+ "max_steps": 700,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 4,
+ "save_steps": 175,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": true
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 1.742929467193688e+18,
+ "train_batch_size": 16,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/training_args.bin b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..cfb1076c5086d85eb5b41ba3029eb40a7ca46797
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/checkpoint-700/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9e6f3241dabbb8a63b52024fb0fb0d68c85f4b48b07e8579ebd8f41fe5fd662
+size 5304
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/eval_results.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/eval_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..1a7b6753385a4b36abf2732e7263ad3f225d2d94
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/eval_results.json
@@ -0,0 +1,8 @@
+{
+ "epoch": 3.9800995024875623,
+ "eval_accuracy": 0.9332066666666665,
+ "eval_loss": 0.1994711458683014,
+ "eval_runtime": 135.9458,
+ "eval_samples_per_second": 18.39,
+ "eval_steps_per_second": 18.39
+}
\ No newline at end of file
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/special_tokens_map.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..582da4ad333feaaa0c427b4678a3e48447ea932f
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/special_tokens_map.json
@@ -0,0 +1,32 @@
+{
+ "additional_special_tokens": [
+ "<|endoftext|>",
+ "[MASK]",
+ "[gMASK]",
+ "[sMASK]",
+ "",
+ "",
+ "<|system|>",
+ "<|user|>",
+ "<|assistant|>",
+ "<|observation|>",
+ "<|begin_of_image|>",
+ "<|end_of_image|>",
+ "<|begin_of_video|>",
+ "<|end_of_video|>"
+ ],
+ "eos_token": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ },
+ "pad_token": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ }
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/tokenization_chatglm.py b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/tokenization_chatglm.py
new file mode 100644
index 0000000000000000000000000000000000000000..7eeff3b02adcef48d4d69058ff36a390f6902273
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/tokenization_chatglm.py
@@ -0,0 +1,323 @@
+import regex as re
+import base64
+import os
+import json
+import tiktoken
+from torch import TensorType
+from typing import List, Optional, Union, Dict, Any
+from transformers import PreTrainedTokenizer
+from transformers.utils import logging, PaddingStrategy
+from transformers.tokenization_utils_base import EncodedInput, BatchEncoding
+
+
+class ChatGLM4Tokenizer(PreTrainedTokenizer):
+ vocab_files_names = {"vocab_file": "tokenizer.model"}
+ model_input_names = ["input_ids", "attention_mask", "position_ids"]
+
+ def __init__(
+ self,
+ vocab_file,
+ padding_side="left",
+ clean_up_tokenization_spaces=False,
+ encode_special_tokens=False,
+ **kwargs
+ ):
+ self.name = "GLM4Tokenizer"
+ self.vocab_file = vocab_file
+ pat_str = "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+"
+ self.pat_str = re.compile(pat_str)
+ self.encode_special_tokens = encode_special_tokens
+
+ mergeable_ranks = {}
+ with open(vocab_file) as f:
+ for line in f:
+ token, rank = line.strip().split()
+ rank = int(rank)
+ token = base64.b64decode(token)
+ mergeable_ranks[token] = rank
+
+ self.mergeable_ranks = mergeable_ranks
+
+ self.tokenizer = tiktoken.Encoding(
+ name="my_tokenizer",
+ pat_str=pat_str,
+ mergeable_ranks=mergeable_ranks,
+ special_tokens={}
+ )
+ self.decoder = {rank: token for token, rank in mergeable_ranks.items()}
+ self.n_words = len(self.decoder)
+
+ super().__init__(
+ padding_side=padding_side,
+ clean_up_tokenization_spaces=clean_up_tokenization_spaces,
+ **kwargs
+ )
+
+ @property
+ def vocab_size(self):
+ return self.n_words
+
+ def get_vocab(self):
+ """ Returns vocab as a dict """
+ vocab = {self._convert_id_to_token(i): i for i in range(self.vocab_size)}
+ vocab.update(self.added_tokens_encoder)
+ return vocab
+
+ def convert_tokens_to_string(self, tokens: List[Union[bytes, str, int]]) -> str:
+ """
+ Converts a sequence of tokens in a single string.
+ """
+ text = ""
+ temp = b""
+ for t in tokens:
+ if isinstance(t, int):
+ t = chr(t)
+ if isinstance(t, str):
+ if temp:
+ text += temp.decode("utf-8", errors="replace")
+ elif isinstance(t, bytes):
+ temp += t
+ else:
+ raise TypeError("token should only be of type int, bytes or str")
+ if temp:
+ text += temp.decode("utf-8", errors="replace")
+ return text
+
+ def _tokenize(self, text, **kwargs):
+ tokens = []
+ ids = self.tokenizer.encode(text)
+ for t in ids:
+ tokens.append(self.decoder[t])
+ return tokens
+
+ def _convert_token_to_id(self, token):
+ """ Converts a token (str) in an id using the vocab. """
+ return self.mergeable_ranks[token]
+
+ def _convert_id_to_token(self, index):
+ """Converts an index (integer) in a token (str) using the vocab."""
+ return self.decoder.get(index, "")
+
+ def save_vocabulary(self, save_directory, filename_prefix=None):
+ """
+ Save the vocabulary and special tokens file to a directory.
+
+ Args:
+ save_directory (`str`):
+ The directory in which to save the vocabulary.
+ filename_prefix (`str`, *optional*):
+ An optional prefix to add to the named of the saved files.
+
+ Returns:
+ `Tuple(str)`: Paths to the files saved.
+ """
+ if os.path.isdir(save_directory):
+ vocab_file = os.path.join(
+ save_directory, self.vocab_files_names["vocab_file"]
+ )
+ else:
+ vocab_file = save_directory
+
+ with open(self.vocab_file, 'rb') as fin:
+ proto_str = fin.read()
+
+ with open(vocab_file, "wb") as writer:
+ writer.write(proto_str)
+
+ return (vocab_file,)
+
+ def get_prefix_tokens(self):
+ prefix_tokens = [self.convert_tokens_to_ids("[gMASK]"), self.convert_tokens_to_ids("")]
+ return prefix_tokens
+
+ def build_single_message(self, role, metadata, message, tokenize=True):
+ assert role in ["system", "user", "assistant", "observation"], role
+ if tokenize:
+ role_tokens = [self.convert_tokens_to_ids(f"<|{role}|>")] + self.tokenizer.encode(f"{metadata}\n",
+ disallowed_special=())
+ message_tokens = self.tokenizer.encode(message, disallowed_special=())
+ tokens = role_tokens + message_tokens
+ return tokens
+ else:
+ return str(f"<|{role}|>{metadata}\n{message}")
+
+ # Use Jinja Template in tokenizer_config.json
+ # def apply_chat_template(
+ # self,
+ # conversation: Union[List[Dict[str, str]], List[List[Dict[str, str]]], "Conversation"],
+ # add_generation_prompt: bool = False,
+ # tokenize: bool = True,
+ # padding: bool = False,
+ # truncation: bool = False,
+ # max_length: Optional[int] = None,
+ # return_tensors: Optional[Union[str, TensorType]] = None,
+ # return_dict: bool = False,
+ # tokenizer_kwargs: Optional[Dict[str, Any]] = None,
+ # add_special_tokens: bool = True,
+ # **kwargs,
+ # ) -> Union[str, List[int], List[str], List[List[int]], BatchEncoding]:
+ #
+ # if return_dict and not tokenize:
+ # raise ValueError(
+ # "`return_dict=True` is incompatible with `tokenize=False`, because there is no dict "
+ # "of tokenizer outputs to return."
+ # )
+ #
+ # def handle_single_conversation(conversation):
+ # input_ids = self.get_prefix_tokens() if add_special_tokens else []
+ # input_message = "[gMASK]" if add_special_tokens else ""
+ # for item in conversation:
+ # if item.get("tools"):
+ # tools = item["tools"]
+ # content = "你是一个名为 GhatGLM 的人工智能助手。你是基于智谱AI训练的语言模型 GLM-4 模型开发的,你的任务是针对用户的问题和要求提供适当的答复和支持。"
+ # content += "\n\n# 可用工具"
+ # for tool in tools:
+ # if tool["type"] == "function":
+ # function = tool["function"]
+ # content += f"\n\n## {function['name']}\n\n{json.dumps(function, ensure_ascii=False, indent=4)}"
+ # content += "\n在调用上述函数时,请使用 Json 格式表示调用的参数。"
+ # elif tool["type"] == "python":
+ # content += "\n\n## python\n\n当你向 `python` 发送包含 Python 代码的消息时,该代码将会在一个有状态的 Jupyter notebook 环境中执行。\n`python` 返回代码执行的输出,或在执行 60 秒后返回超时。\n`/mnt/data` 将会持久化存储你的文件。在此会话中,`python` 无法访问互联网。不要使用 `python` 进行任何网络请求或者在线 API 调用,这些在线内容的访问将不会成功。"
+ # elif tool["type"] == "simple_browser":
+ # content += "\n\n## simple_browser\n\n你可以使用 `simple_browser` 工具。该工具支持以下函数:\n`search(query: str, recency_days: int)`:使用搜索引擎进行查询并显示结果,可以使用 `recency_days` 参数控制搜索内容的时效性。\n`mclick(ids: list[int])`:获取一系列指定 id 的页面内容。每次调用时,须选择3-10个页面。选择多个角度的页面,同时尽可能选择可信任的信息来源。考虑到部分页面是无法加载的,你也可以多打开一些可能有用的页面而不用担心内容过多。\n`open_url(url: str)`:打开指定的 URL。\n\n使用 `【{引用 id}†{引用文本}】` 来引用内容。\n\n操作步骤:1. 使用 `search` 来获得信息列表; 2. 使用 `mclick` 来获取指定 ID 页面的内容; 3. 根据获得的内容进行回复。在回复中应当引用信息来源。\n 如果用户提供了 URL,也可以用 `open_url` 直接打开页面。\n如果初次搜索结果没有找到合适的信息,也可以再次使用 `search` 进行搜索。"
+ # elif tool["type"] == "cogview":
+ # content += "\n\n## cogview\n\n如果用户的请求中包含了对图像的描述,你可以使用 `cogview` 来生成图像并展示给用户。你需要向 `cogview` 发送图像描述,规则:\n- 发送给 `cogview` 的消息必须使用英语。用户的中文描述必须完全翻译为英语。\n- 应当尽可能详细地描述图像生成的需求,需求描述约 100 英文单词。\n- 保持用户原始描述的意图。不要虚构内容或者没见过的人物。\n- 如无特殊说明,所在地为中国,持有中国立场并遵循中国社会主义价值观。"
+ # else:
+ # raise NotImplementedError(f"Unknown tool type {tool['type']}")
+ # input = self.build_single_message("system", "", content, tokenize=tokenize)
+ # if tokenize:
+ # input_ids.extend(input)
+ # else:
+ # input_message += input
+ # if item["content"]:
+ # input = self.build_single_message(
+ # item["role"],
+ # item.get("metadata", ""),
+ # item["content"],
+ # tokenize=tokenize
+ # )
+ # if tokenize:
+ # input_ids.extend(input)
+ # else:
+ # input_message += input
+ # if add_generation_prompt:
+ # if tokenize:
+ # input_ids.extend([self.convert_tokens_to_ids("<|assistant|>")])
+ # else:
+ # input_message += "<|assistant|>"
+ # return input_ids if tokenize else input_message
+ #
+ # # Main logic to handle different conversation formats
+ # if isinstance(conversation, list) and all(isinstance(i, dict) for i in conversation):
+ # result = handle_single_conversation(conversation)
+ # elif isinstance(conversation, list) and all(isinstance(i, list) for i in conversation):
+ # result = [handle_single_conversation(c) for c in conversation]
+ # elif hasattr(conversation, "messages"):
+ # result = handle_single_conversation(conversation.messages)
+ # else:
+ # raise ValueError("Invalid conversation format")
+ #
+ # if tokenize:
+ # output = self.batch_encode_plus(
+ # [result] if isinstance(result[0], int) else result,
+ # padding=padding,
+ # truncation=truncation,
+ # max_length=max_length,
+ # return_tensors=return_tensors,
+ # is_split_into_words=True,
+ # add_special_tokens=False
+ # )
+ # if return_dict:
+ # return output
+ # else:
+ # return output["input_ids"]
+ # else:
+ # return result
+
+ def build_inputs_with_special_tokens(
+ self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
+ ) -> List[int]:
+ """
+ Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and
+ adding special tokens. A BERT sequence has the following format:
+
+ - single sequence: `[CLS] X [SEP]`
+ - pair of sequences: `[CLS] A [SEP] B [SEP]`
+
+ Args:
+ token_ids_0 (`List[int]`):
+ List of IDs to which the special tokens will be added.
+ token_ids_1 (`List[int]`, *optional*):
+ Optional second list of IDs for sequence pairs.
+
+ Returns:
+ `List[int]`: List of [input IDs](../glossary#input-ids) with the appropriate special tokens.
+ """
+ prefix_tokens = self.get_prefix_tokens()
+ token_ids_0 = prefix_tokens + token_ids_0
+ if token_ids_1 is not None:
+ token_ids_0 = token_ids_0 + token_ids_1 + [self.convert_tokens_to_ids("")]
+ return token_ids_0
+
+ def _pad(
+ self,
+ encoded_inputs: Union[Dict[str, EncodedInput], BatchEncoding],
+ max_length: Optional[int] = None,
+ padding_strategy: PaddingStrategy = PaddingStrategy.DO_NOT_PAD,
+ pad_to_multiple_of: Optional[int] = None,
+ return_attention_mask: Optional[bool] = None,
+ ) -> dict:
+ """
+ Pad encoded inputs (on left/right and up to predefined length or max length in the batch)
+
+ Args:
+ encoded_inputs:
+ Dictionary of tokenized inputs (`List[int]`) or batch of tokenized inputs (`List[List[int]]`).
+ max_length: maximum length of the returned list and optionally padding length (see below).
+ Will truncate by taking into account the special tokens.
+ padding_strategy: PaddingStrategy to use for padding.
+
+ - PaddingStrategy.LONGEST Pad to the longest sequence in the batch
+ - PaddingStrategy.MAX_LENGTH: Pad to the max length (default)
+ - PaddingStrategy.DO_NOT_PAD: Do not pad
+ The tokenizer padding sides are defined in self.padding_side:
+
+ - 'left': pads on the left of the sequences
+ - 'right': pads on the right of the sequences
+ pad_to_multiple_of: (optional) Integer if set will pad the sequence to a multiple of the provided value.
+ This is especially useful to enable the use of Tensor Core on NVIDIA hardware with compute capability
+ `>= 7.5` (Volta).
+ return_attention_mask:
+ (optional) Set to False to avoid returning attention mask (default: set to model specifics)
+ """
+ # Load from model defaults
+ assert self.padding_side == "left"
+
+ required_input = encoded_inputs[self.model_input_names[0]]
+ seq_length = len(required_input)
+
+ if padding_strategy == PaddingStrategy.LONGEST:
+ max_length = len(required_input)
+
+ if max_length is not None and pad_to_multiple_of is not None and (max_length % pad_to_multiple_of != 0):
+ max_length = ((max_length // pad_to_multiple_of) + 1) * pad_to_multiple_of
+
+ needs_to_be_padded = padding_strategy != PaddingStrategy.DO_NOT_PAD and len(required_input) != max_length
+
+ # Initialize attention mask if not present.
+ if "attention_mask" not in encoded_inputs:
+ encoded_inputs["attention_mask"] = [1] * seq_length
+
+ if "position_ids" not in encoded_inputs:
+ encoded_inputs["position_ids"] = list(range(seq_length))
+
+ if needs_to_be_padded:
+ difference = max_length - len(required_input)
+
+ if "attention_mask" in encoded_inputs:
+ encoded_inputs["attention_mask"] = [0] * difference + encoded_inputs["attention_mask"]
+ if "position_ids" in encoded_inputs:
+ encoded_inputs["position_ids"] = [0] * difference + encoded_inputs["position_ids"]
+ encoded_inputs[self.model_input_names[0]] = [self.pad_token_id] * difference + required_input
+
+ return encoded_inputs
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/tokenizer.model b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/tokenizer.model
new file mode 100644
index 0000000000000000000000000000000000000000..8650fd94d949375a2ab1f4975e7e6ff51ebc364a
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/tokenizer.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a493598071550244b2ee7f26118f3edec2150b9dfa967929a99052ac83fe716
+size 2623634
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/tokenizer_config.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..290fad7eade99ef9cda90a6092de906ef2d77acd
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/tokenizer_config.json
@@ -0,0 +1,148 @@
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+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
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+ },
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+ "151333": {
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+ "lstrip": false,
+ "normalized": false,
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+ "content": "",
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+ "normalized": false,
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+ "content": "<|assistant|>",
+ "lstrip": false,
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+ "rstrip": false,
+ "single_word": false,
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+ },
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+ "content": "<|observation|>",
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+ "special": true
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+ "content": "<|begin_of_video|>",
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+ "additional_special_tokens": [
+ "<|endoftext|>",
+ "[MASK]",
+ "[gMASK]",
+ "[sMASK]",
+ "",
+ "",
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+ "<|user|>",
+ "<|assistant|>",
+ "<|observation|>",
+ "<|begin_of_image|>",
+ "<|end_of_image|>",
+ "<|begin_of_video|>",
+ "<|end_of_video|>"
+ ],
+ "auto_map": {
+ "AutoTokenizer": [
+ "tokenization_chatglm.ChatGLM4Tokenizer",
+ null
+ ]
+ },
+ "chat_template": "{{ '[gMASK]' }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|system|>\n' + system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|user|>\n' + content + '<|assistant|>' }}{% elif message['role'] == 'assistant' %}{{ '\n' + content }}{% endif %}{% endfor %}",
+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "<|endoftext|>",
+ "model_max_length": 1024000,
+ "pad_token": "<|endoftext|>",
+ "padding_side": "right",
+ "remove_space": false,
+ "split_special_tokens": false,
+ "tokenizer_class": "ChatGLM4Tokenizer"
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/train_results.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/train_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..2d20c91e7361f1846a0973c121467a06403af306
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/train_results.json
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+}
\ No newline at end of file
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/trainer_state.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p1_full/trainer_state.json
new file mode 100644
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diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/README.md b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/README.md
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+---
+license: other
+library_name: peft
+tags:
+- llama-factory
+- lora
+- generated_from_trainer
+base_model: THUDM/glm-4-9b-chat-1m
+metrics:
+- accuracy
+model-index:
+- name: sft_bf16_p2_full
+ results: []
+---
+
+
+
+# sft_bf16_p2_full
+
+This model is a fine-tuned version of [THUDM/glm-4-9b-chat-1m](https://huggingface.co/THUDM/glm-4-9b-chat-1m) on the alpaca_mgtv_p2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2061
+- Accuracy: 0.9329
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 4.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.2113 | 0.9950 | 175 | 0.1958 | 0.9247 |
+| 0.1785 | 1.9900 | 350 | 0.1923 | 0.9292 |
+| 0.1257 | 2.9851 | 525 | 0.1788 | 0.9350 |
+| 0.0688 | 3.9801 | 700 | 0.2061 | 0.9329 |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1
\ No newline at end of file
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+ "bias": "none",
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
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+ "lora_dropout": 0.0,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "r": 8,
+ "rank_pattern": {},
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+ "target_modules": [
+ "query_key_value",
+ "dense_h_to_4h",
+ "dense_4h_to_h",
+ "dense"
+ ],
+ "task_type": "CAUSAL_LM",
+ "use_dora": false,
+ "use_rslora": false
+}
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diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/all_results.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/all_results.json
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+ "eval_accuracy": 0.9329066666666666,
+ "eval_loss": 0.20613622665405273,
+ "eval_runtime": 243.7046,
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+ "train_loss": 0.21072991234915597,
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diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/README.md b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/README.md
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+---
+library_name: peft
+base_model: THUDM/glm-4-9b-chat-1m
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.11.1
\ No newline at end of file
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+ ],
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+ "use_dora": false,
+ "use_rslora": false
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diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/scheduler.pt b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/scheduler.pt
new file mode 100644
index 0000000000000000000000000000000000000000..187528a952507887eed2d4791b3e93c55b5dbf0b
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/scheduler.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33b7a8d09c2546f7106398b095bc2a462fc9b7d28f34ff33c2a19f3162ac9490
+size 1064
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/special_tokens_map.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..582da4ad333feaaa0c427b4678a3e48447ea932f
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/special_tokens_map.json
@@ -0,0 +1,32 @@
+{
+ "additional_special_tokens": [
+ "<|endoftext|>",
+ "[MASK]",
+ "[gMASK]",
+ "[sMASK]",
+ "",
+ "",
+ "<|system|>",
+ "<|user|>",
+ "<|assistant|>",
+ "<|observation|>",
+ "<|begin_of_image|>",
+ "<|end_of_image|>",
+ "<|begin_of_video|>",
+ "<|end_of_video|>"
+ ],
+ "eos_token": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ },
+ "pad_token": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ }
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/tokenization_chatglm.py b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/tokenization_chatglm.py
new file mode 100644
index 0000000000000000000000000000000000000000..7eeff3b02adcef48d4d69058ff36a390f6902273
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/tokenization_chatglm.py
@@ -0,0 +1,323 @@
+import regex as re
+import base64
+import os
+import json
+import tiktoken
+from torch import TensorType
+from typing import List, Optional, Union, Dict, Any
+from transformers import PreTrainedTokenizer
+from transformers.utils import logging, PaddingStrategy
+from transformers.tokenization_utils_base import EncodedInput, BatchEncoding
+
+
+class ChatGLM4Tokenizer(PreTrainedTokenizer):
+ vocab_files_names = {"vocab_file": "tokenizer.model"}
+ model_input_names = ["input_ids", "attention_mask", "position_ids"]
+
+ def __init__(
+ self,
+ vocab_file,
+ padding_side="left",
+ clean_up_tokenization_spaces=False,
+ encode_special_tokens=False,
+ **kwargs
+ ):
+ self.name = "GLM4Tokenizer"
+ self.vocab_file = vocab_file
+ pat_str = "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+"
+ self.pat_str = re.compile(pat_str)
+ self.encode_special_tokens = encode_special_tokens
+
+ mergeable_ranks = {}
+ with open(vocab_file) as f:
+ for line in f:
+ token, rank = line.strip().split()
+ rank = int(rank)
+ token = base64.b64decode(token)
+ mergeable_ranks[token] = rank
+
+ self.mergeable_ranks = mergeable_ranks
+
+ self.tokenizer = tiktoken.Encoding(
+ name="my_tokenizer",
+ pat_str=pat_str,
+ mergeable_ranks=mergeable_ranks,
+ special_tokens={}
+ )
+ self.decoder = {rank: token for token, rank in mergeable_ranks.items()}
+ self.n_words = len(self.decoder)
+
+ super().__init__(
+ padding_side=padding_side,
+ clean_up_tokenization_spaces=clean_up_tokenization_spaces,
+ **kwargs
+ )
+
+ @property
+ def vocab_size(self):
+ return self.n_words
+
+ def get_vocab(self):
+ """ Returns vocab as a dict """
+ vocab = {self._convert_id_to_token(i): i for i in range(self.vocab_size)}
+ vocab.update(self.added_tokens_encoder)
+ return vocab
+
+ def convert_tokens_to_string(self, tokens: List[Union[bytes, str, int]]) -> str:
+ """
+ Converts a sequence of tokens in a single string.
+ """
+ text = ""
+ temp = b""
+ for t in tokens:
+ if isinstance(t, int):
+ t = chr(t)
+ if isinstance(t, str):
+ if temp:
+ text += temp.decode("utf-8", errors="replace")
+ elif isinstance(t, bytes):
+ temp += t
+ else:
+ raise TypeError("token should only be of type int, bytes or str")
+ if temp:
+ text += temp.decode("utf-8", errors="replace")
+ return text
+
+ def _tokenize(self, text, **kwargs):
+ tokens = []
+ ids = self.tokenizer.encode(text)
+ for t in ids:
+ tokens.append(self.decoder[t])
+ return tokens
+
+ def _convert_token_to_id(self, token):
+ """ Converts a token (str) in an id using the vocab. """
+ return self.mergeable_ranks[token]
+
+ def _convert_id_to_token(self, index):
+ """Converts an index (integer) in a token (str) using the vocab."""
+ return self.decoder.get(index, "")
+
+ def save_vocabulary(self, save_directory, filename_prefix=None):
+ """
+ Save the vocabulary and special tokens file to a directory.
+
+ Args:
+ save_directory (`str`):
+ The directory in which to save the vocabulary.
+ filename_prefix (`str`, *optional*):
+ An optional prefix to add to the named of the saved files.
+
+ Returns:
+ `Tuple(str)`: Paths to the files saved.
+ """
+ if os.path.isdir(save_directory):
+ vocab_file = os.path.join(
+ save_directory, self.vocab_files_names["vocab_file"]
+ )
+ else:
+ vocab_file = save_directory
+
+ with open(self.vocab_file, 'rb') as fin:
+ proto_str = fin.read()
+
+ with open(vocab_file, "wb") as writer:
+ writer.write(proto_str)
+
+ return (vocab_file,)
+
+ def get_prefix_tokens(self):
+ prefix_tokens = [self.convert_tokens_to_ids("[gMASK]"), self.convert_tokens_to_ids("")]
+ return prefix_tokens
+
+ def build_single_message(self, role, metadata, message, tokenize=True):
+ assert role in ["system", "user", "assistant", "observation"], role
+ if tokenize:
+ role_tokens = [self.convert_tokens_to_ids(f"<|{role}|>")] + self.tokenizer.encode(f"{metadata}\n",
+ disallowed_special=())
+ message_tokens = self.tokenizer.encode(message, disallowed_special=())
+ tokens = role_tokens + message_tokens
+ return tokens
+ else:
+ return str(f"<|{role}|>{metadata}\n{message}")
+
+ # Use Jinja Template in tokenizer_config.json
+ # def apply_chat_template(
+ # self,
+ # conversation: Union[List[Dict[str, str]], List[List[Dict[str, str]]], "Conversation"],
+ # add_generation_prompt: bool = False,
+ # tokenize: bool = True,
+ # padding: bool = False,
+ # truncation: bool = False,
+ # max_length: Optional[int] = None,
+ # return_tensors: Optional[Union[str, TensorType]] = None,
+ # return_dict: bool = False,
+ # tokenizer_kwargs: Optional[Dict[str, Any]] = None,
+ # add_special_tokens: bool = True,
+ # **kwargs,
+ # ) -> Union[str, List[int], List[str], List[List[int]], BatchEncoding]:
+ #
+ # if return_dict and not tokenize:
+ # raise ValueError(
+ # "`return_dict=True` is incompatible with `tokenize=False`, because there is no dict "
+ # "of tokenizer outputs to return."
+ # )
+ #
+ # def handle_single_conversation(conversation):
+ # input_ids = self.get_prefix_tokens() if add_special_tokens else []
+ # input_message = "[gMASK]" if add_special_tokens else ""
+ # for item in conversation:
+ # if item.get("tools"):
+ # tools = item["tools"]
+ # content = "你是一个名为 GhatGLM 的人工智能助手。你是基于智谱AI训练的语言模型 GLM-4 模型开发的,你的任务是针对用户的问题和要求提供适当的答复和支持。"
+ # content += "\n\n# 可用工具"
+ # for tool in tools:
+ # if tool["type"] == "function":
+ # function = tool["function"]
+ # content += f"\n\n## {function['name']}\n\n{json.dumps(function, ensure_ascii=False, indent=4)}"
+ # content += "\n在调用上述函数时,请使用 Json 格式表示调用的参数。"
+ # elif tool["type"] == "python":
+ # content += "\n\n## python\n\n当你向 `python` 发送包含 Python 代码的消息时,该代码将会在一个有状态的 Jupyter notebook 环境中执行。\n`python` 返回代码执行的输出,或在执行 60 秒后返回超时。\n`/mnt/data` 将会持久化存储你的文件。在此会话中,`python` 无法访问互联网。不要使用 `python` 进行任何网络请求或者在线 API 调用,这些在线内容的访问将不会成功。"
+ # elif tool["type"] == "simple_browser":
+ # content += "\n\n## simple_browser\n\n你可以使用 `simple_browser` 工具。该工具支持以下函数:\n`search(query: str, recency_days: int)`:使用搜索引擎进行查询并显示结果,可以使用 `recency_days` 参数控制搜索内容的时效性。\n`mclick(ids: list[int])`:获取一系列指定 id 的页面内容。每次调用时,须选择3-10个页面。选择多个角度的页面,同时尽可能选择可信任的信息来源。考虑到部分页面是无法加载的,你也可以多打开一些可能有用的页面而不用担心内容过多。\n`open_url(url: str)`:打开指定的 URL。\n\n使用 `【{引用 id}†{引用文本}】` 来引用内容。\n\n操作步骤:1. 使用 `search` 来获得信息列表; 2. 使用 `mclick` 来获取指定 ID 页面的内容; 3. 根据获得的内容进行回复。在回复中应当引用信息来源。\n 如果用户提供了 URL,也可以用 `open_url` 直接打开页面。\n如果初次搜索结果没有找到合适的信息,也可以再次使用 `search` 进行搜索。"
+ # elif tool["type"] == "cogview":
+ # content += "\n\n## cogview\n\n如果用户的请求中包含了对图像的描述,你可以使用 `cogview` 来生成图像并展示给用户。你需要向 `cogview` 发送图像描述,规则:\n- 发送给 `cogview` 的消息必须使用英语。用户的中文描述必须完全翻译为英语。\n- 应当尽可能详细地描述图像生成的需求,需求描述约 100 英文单词。\n- 保持用户原始描述的意图。不要虚构内容或者没见过的人物。\n- 如无特殊说明,所在地为中国,持有中国立场并遵循中国社会主义价值观。"
+ # else:
+ # raise NotImplementedError(f"Unknown tool type {tool['type']}")
+ # input = self.build_single_message("system", "", content, tokenize=tokenize)
+ # if tokenize:
+ # input_ids.extend(input)
+ # else:
+ # input_message += input
+ # if item["content"]:
+ # input = self.build_single_message(
+ # item["role"],
+ # item.get("metadata", ""),
+ # item["content"],
+ # tokenize=tokenize
+ # )
+ # if tokenize:
+ # input_ids.extend(input)
+ # else:
+ # input_message += input
+ # if add_generation_prompt:
+ # if tokenize:
+ # input_ids.extend([self.convert_tokens_to_ids("<|assistant|>")])
+ # else:
+ # input_message += "<|assistant|>"
+ # return input_ids if tokenize else input_message
+ #
+ # # Main logic to handle different conversation formats
+ # if isinstance(conversation, list) and all(isinstance(i, dict) for i in conversation):
+ # result = handle_single_conversation(conversation)
+ # elif isinstance(conversation, list) and all(isinstance(i, list) for i in conversation):
+ # result = [handle_single_conversation(c) for c in conversation]
+ # elif hasattr(conversation, "messages"):
+ # result = handle_single_conversation(conversation.messages)
+ # else:
+ # raise ValueError("Invalid conversation format")
+ #
+ # if tokenize:
+ # output = self.batch_encode_plus(
+ # [result] if isinstance(result[0], int) else result,
+ # padding=padding,
+ # truncation=truncation,
+ # max_length=max_length,
+ # return_tensors=return_tensors,
+ # is_split_into_words=True,
+ # add_special_tokens=False
+ # )
+ # if return_dict:
+ # return output
+ # else:
+ # return output["input_ids"]
+ # else:
+ # return result
+
+ def build_inputs_with_special_tokens(
+ self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
+ ) -> List[int]:
+ """
+ Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and
+ adding special tokens. A BERT sequence has the following format:
+
+ - single sequence: `[CLS] X [SEP]`
+ - pair of sequences: `[CLS] A [SEP] B [SEP]`
+
+ Args:
+ token_ids_0 (`List[int]`):
+ List of IDs to which the special tokens will be added.
+ token_ids_1 (`List[int]`, *optional*):
+ Optional second list of IDs for sequence pairs.
+
+ Returns:
+ `List[int]`: List of [input IDs](../glossary#input-ids) with the appropriate special tokens.
+ """
+ prefix_tokens = self.get_prefix_tokens()
+ token_ids_0 = prefix_tokens + token_ids_0
+ if token_ids_1 is not None:
+ token_ids_0 = token_ids_0 + token_ids_1 + [self.convert_tokens_to_ids("")]
+ return token_ids_0
+
+ def _pad(
+ self,
+ encoded_inputs: Union[Dict[str, EncodedInput], BatchEncoding],
+ max_length: Optional[int] = None,
+ padding_strategy: PaddingStrategy = PaddingStrategy.DO_NOT_PAD,
+ pad_to_multiple_of: Optional[int] = None,
+ return_attention_mask: Optional[bool] = None,
+ ) -> dict:
+ """
+ Pad encoded inputs (on left/right and up to predefined length or max length in the batch)
+
+ Args:
+ encoded_inputs:
+ Dictionary of tokenized inputs (`List[int]`) or batch of tokenized inputs (`List[List[int]]`).
+ max_length: maximum length of the returned list and optionally padding length (see below).
+ Will truncate by taking into account the special tokens.
+ padding_strategy: PaddingStrategy to use for padding.
+
+ - PaddingStrategy.LONGEST Pad to the longest sequence in the batch
+ - PaddingStrategy.MAX_LENGTH: Pad to the max length (default)
+ - PaddingStrategy.DO_NOT_PAD: Do not pad
+ The tokenizer padding sides are defined in self.padding_side:
+
+ - 'left': pads on the left of the sequences
+ - 'right': pads on the right of the sequences
+ pad_to_multiple_of: (optional) Integer if set will pad the sequence to a multiple of the provided value.
+ This is especially useful to enable the use of Tensor Core on NVIDIA hardware with compute capability
+ `>= 7.5` (Volta).
+ return_attention_mask:
+ (optional) Set to False to avoid returning attention mask (default: set to model specifics)
+ """
+ # Load from model defaults
+ assert self.padding_side == "left"
+
+ required_input = encoded_inputs[self.model_input_names[0]]
+ seq_length = len(required_input)
+
+ if padding_strategy == PaddingStrategy.LONGEST:
+ max_length = len(required_input)
+
+ if max_length is not None and pad_to_multiple_of is not None and (max_length % pad_to_multiple_of != 0):
+ max_length = ((max_length // pad_to_multiple_of) + 1) * pad_to_multiple_of
+
+ needs_to_be_padded = padding_strategy != PaddingStrategy.DO_NOT_PAD and len(required_input) != max_length
+
+ # Initialize attention mask if not present.
+ if "attention_mask" not in encoded_inputs:
+ encoded_inputs["attention_mask"] = [1] * seq_length
+
+ if "position_ids" not in encoded_inputs:
+ encoded_inputs["position_ids"] = list(range(seq_length))
+
+ if needs_to_be_padded:
+ difference = max_length - len(required_input)
+
+ if "attention_mask" in encoded_inputs:
+ encoded_inputs["attention_mask"] = [0] * difference + encoded_inputs["attention_mask"]
+ if "position_ids" in encoded_inputs:
+ encoded_inputs["position_ids"] = [0] * difference + encoded_inputs["position_ids"]
+ encoded_inputs[self.model_input_names[0]] = [self.pad_token_id] * difference + required_input
+
+ return encoded_inputs
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/tokenizer.model b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/tokenizer.model
new file mode 100644
index 0000000000000000000000000000000000000000..8650fd94d949375a2ab1f4975e7e6ff51ebc364a
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/tokenizer.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a493598071550244b2ee7f26118f3edec2150b9dfa967929a99052ac83fe716
+size 2623634
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/tokenizer_config.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..290fad7eade99ef9cda90a6092de906ef2d77acd
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/tokenizer_config.json
@@ -0,0 +1,148 @@
+{
+ "added_tokens_decoder": {
+ "151329": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151330": {
+ "content": "[MASK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151331": {
+ "content": "[gMASK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151332": {
+ "content": "[sMASK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151333": {
+ "content": "",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151334": {
+ "content": "",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151335": {
+ "content": "<|system|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151336": {
+ "content": "<|user|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151337": {
+ "content": "<|assistant|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151338": {
+ "content": "<|observation|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151339": {
+ "content": "<|begin_of_image|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151340": {
+ "content": "<|end_of_image|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151341": {
+ "content": "<|begin_of_video|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151342": {
+ "content": "<|end_of_video|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ }
+ },
+ "additional_special_tokens": [
+ "<|endoftext|>",
+ "[MASK]",
+ "[gMASK]",
+ "[sMASK]",
+ "",
+ "",
+ "<|system|>",
+ "<|user|>",
+ "<|assistant|>",
+ "<|observation|>",
+ "<|begin_of_image|>",
+ "<|end_of_image|>",
+ "<|begin_of_video|>",
+ "<|end_of_video|>"
+ ],
+ "auto_map": {
+ "AutoTokenizer": [
+ "tokenization_chatglm.ChatGLM4Tokenizer",
+ null
+ ]
+ },
+ "chat_template": "{{ '[gMASK]' }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|system|>\n' + system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|user|>\n' + content + '<|assistant|>' }}{% elif message['role'] == 'assistant' %}{{ '\n' + content }}{% endif %}{% endfor %}",
+ "clean_up_tokenization_spaces": false,
+ "do_lower_case": false,
+ "eos_token": "<|endoftext|>",
+ "model_max_length": 1024000,
+ "pad_token": "<|endoftext|>",
+ "padding_side": "right",
+ "remove_space": false,
+ "split_special_tokens": false,
+ "tokenizer_class": "ChatGLM4Tokenizer"
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/trainer_state.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..19f0d9c70067c756de14818a80ffb70e983bf854
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/trainer_state.json
@@ -0,0 +1,161 @@
+{
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 0.9950248756218906,
+ "eval_steps": 175,
+ "global_step": 175,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "epoch": 0.05685856432125089,
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+ "step": 175
+ }
+ ],
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+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 4,
+ "save_steps": 175,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 5.497083738728694e+17,
+ "train_batch_size": 16,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/training_args.bin b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..8bb5a597226fb939ff9c6f0d3036e88de80c68c2
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-175/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e4c1499d6e076005abc099edcb2229c05317ae85d06821d1d4ba40656e39b6d
+size 5304
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/README.md b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..8a25a4498c7ba2e7ef04fc9e0ebdf0b56b6e55c6
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/README.md
@@ -0,0 +1,202 @@
+---
+library_name: peft
+base_model: THUDM/glm-4-9b-chat-1m
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.11.1
\ No newline at end of file
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/adapter_config.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..5c1b8ef4a4f349811df50f197c75da2a5c6f16b8
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/adapter_config.json
@@ -0,0 +1,31 @@
+{
+ "alpha_pattern": {},
+ "auto_mapping": null,
+ "base_model_name_or_path": "THUDM/glm-4-9b-chat-1m",
+ "bias": "none",
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 16,
+ "lora_dropout": 0.0,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "r": 8,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "query_key_value",
+ "dense_h_to_4h",
+ "dense_4h_to_h",
+ "dense"
+ ],
+ "task_type": "CAUSAL_LM",
+ "use_dora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/adapter_model.safetensors b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/adapter_model.safetensors
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@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1c558dbde8ff82d08543824cb5274f942e59c912dcdec8332c7d262709ce2eb8
+size 85409560
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/added_tokens.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/added_tokens.json
new file mode 100644
index 0000000000000000000000000000000000000000..f3a7f4eaefbf184faa4a5a188a399538df4c8c36
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/added_tokens.json
@@ -0,0 +1,16 @@
+{
+ "": 151334,
+ "": 151333,
+ "<|assistant|>": 151337,
+ "<|begin_of_image|>": 151339,
+ "<|begin_of_video|>": 151341,
+ "<|end_of_image|>": 151340,
+ "<|end_of_video|>": 151342,
+ "<|endoftext|>": 151329,
+ "<|observation|>": 151338,
+ "<|system|>": 151335,
+ "<|user|>": 151336,
+ "[MASK]": 151330,
+ "[gMASK]": 151331,
+ "[sMASK]": 151332
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/optimizer.pt b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/optimizer.pt
new file mode 100644
index 0000000000000000000000000000000000000000..27416e21ee1184ce1af040534892d5b8494243dc
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/optimizer.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f38d7e7472cac1f704a0f9c7b0b203d39262480856c7d1108eda51721dce0872
+size 170990330
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/rng_state.pth b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/rng_state.pth
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index 0000000000000000000000000000000000000000..0a11d850e4f9ddde03041fb0f3247ef616fbda77
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+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8d138cfe3a4adf21f048848ee35837c9a757a0a3616ff7adbb45b69aac247435
+size 14244
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/scheduler.pt b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/scheduler.pt
new file mode 100644
index 0000000000000000000000000000000000000000..eb378c1863d0b41e9a7a14779d21119ad9aeec8a
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/scheduler.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:260dbe7a290a3eb6243acf2b7854e91fda974ddc05a7f2e6ef4d24d9dbbc4233
+size 1064
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/special_tokens_map.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..582da4ad333feaaa0c427b4678a3e48447ea932f
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/special_tokens_map.json
@@ -0,0 +1,32 @@
+{
+ "additional_special_tokens": [
+ "<|endoftext|>",
+ "[MASK]",
+ "[gMASK]",
+ "[sMASK]",
+ "",
+ "",
+ "<|system|>",
+ "<|user|>",
+ "<|assistant|>",
+ "<|observation|>",
+ "<|begin_of_image|>",
+ "<|end_of_image|>",
+ "<|begin_of_video|>",
+ "<|end_of_video|>"
+ ],
+ "eos_token": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ },
+ "pad_token": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ }
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/tokenization_chatglm.py b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/tokenization_chatglm.py
new file mode 100644
index 0000000000000000000000000000000000000000..7eeff3b02adcef48d4d69058ff36a390f6902273
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/tokenization_chatglm.py
@@ -0,0 +1,323 @@
+import regex as re
+import base64
+import os
+import json
+import tiktoken
+from torch import TensorType
+from typing import List, Optional, Union, Dict, Any
+from transformers import PreTrainedTokenizer
+from transformers.utils import logging, PaddingStrategy
+from transformers.tokenization_utils_base import EncodedInput, BatchEncoding
+
+
+class ChatGLM4Tokenizer(PreTrainedTokenizer):
+ vocab_files_names = {"vocab_file": "tokenizer.model"}
+ model_input_names = ["input_ids", "attention_mask", "position_ids"]
+
+ def __init__(
+ self,
+ vocab_file,
+ padding_side="left",
+ clean_up_tokenization_spaces=False,
+ encode_special_tokens=False,
+ **kwargs
+ ):
+ self.name = "GLM4Tokenizer"
+ self.vocab_file = vocab_file
+ pat_str = "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+"
+ self.pat_str = re.compile(pat_str)
+ self.encode_special_tokens = encode_special_tokens
+
+ mergeable_ranks = {}
+ with open(vocab_file) as f:
+ for line in f:
+ token, rank = line.strip().split()
+ rank = int(rank)
+ token = base64.b64decode(token)
+ mergeable_ranks[token] = rank
+
+ self.mergeable_ranks = mergeable_ranks
+
+ self.tokenizer = tiktoken.Encoding(
+ name="my_tokenizer",
+ pat_str=pat_str,
+ mergeable_ranks=mergeable_ranks,
+ special_tokens={}
+ )
+ self.decoder = {rank: token for token, rank in mergeable_ranks.items()}
+ self.n_words = len(self.decoder)
+
+ super().__init__(
+ padding_side=padding_side,
+ clean_up_tokenization_spaces=clean_up_tokenization_spaces,
+ **kwargs
+ )
+
+ @property
+ def vocab_size(self):
+ return self.n_words
+
+ def get_vocab(self):
+ """ Returns vocab as a dict """
+ vocab = {self._convert_id_to_token(i): i for i in range(self.vocab_size)}
+ vocab.update(self.added_tokens_encoder)
+ return vocab
+
+ def convert_tokens_to_string(self, tokens: List[Union[bytes, str, int]]) -> str:
+ """
+ Converts a sequence of tokens in a single string.
+ """
+ text = ""
+ temp = b""
+ for t in tokens:
+ if isinstance(t, int):
+ t = chr(t)
+ if isinstance(t, str):
+ if temp:
+ text += temp.decode("utf-8", errors="replace")
+ elif isinstance(t, bytes):
+ temp += t
+ else:
+ raise TypeError("token should only be of type int, bytes or str")
+ if temp:
+ text += temp.decode("utf-8", errors="replace")
+ return text
+
+ def _tokenize(self, text, **kwargs):
+ tokens = []
+ ids = self.tokenizer.encode(text)
+ for t in ids:
+ tokens.append(self.decoder[t])
+ return tokens
+
+ def _convert_token_to_id(self, token):
+ """ Converts a token (str) in an id using the vocab. """
+ return self.mergeable_ranks[token]
+
+ def _convert_id_to_token(self, index):
+ """Converts an index (integer) in a token (str) using the vocab."""
+ return self.decoder.get(index, "")
+
+ def save_vocabulary(self, save_directory, filename_prefix=None):
+ """
+ Save the vocabulary and special tokens file to a directory.
+
+ Args:
+ save_directory (`str`):
+ The directory in which to save the vocabulary.
+ filename_prefix (`str`, *optional*):
+ An optional prefix to add to the named of the saved files.
+
+ Returns:
+ `Tuple(str)`: Paths to the files saved.
+ """
+ if os.path.isdir(save_directory):
+ vocab_file = os.path.join(
+ save_directory, self.vocab_files_names["vocab_file"]
+ )
+ else:
+ vocab_file = save_directory
+
+ with open(self.vocab_file, 'rb') as fin:
+ proto_str = fin.read()
+
+ with open(vocab_file, "wb") as writer:
+ writer.write(proto_str)
+
+ return (vocab_file,)
+
+ def get_prefix_tokens(self):
+ prefix_tokens = [self.convert_tokens_to_ids("[gMASK]"), self.convert_tokens_to_ids("")]
+ return prefix_tokens
+
+ def build_single_message(self, role, metadata, message, tokenize=True):
+ assert role in ["system", "user", "assistant", "observation"], role
+ if tokenize:
+ role_tokens = [self.convert_tokens_to_ids(f"<|{role}|>")] + self.tokenizer.encode(f"{metadata}\n",
+ disallowed_special=())
+ message_tokens = self.tokenizer.encode(message, disallowed_special=())
+ tokens = role_tokens + message_tokens
+ return tokens
+ else:
+ return str(f"<|{role}|>{metadata}\n{message}")
+
+ # Use Jinja Template in tokenizer_config.json
+ # def apply_chat_template(
+ # self,
+ # conversation: Union[List[Dict[str, str]], List[List[Dict[str, str]]], "Conversation"],
+ # add_generation_prompt: bool = False,
+ # tokenize: bool = True,
+ # padding: bool = False,
+ # truncation: bool = False,
+ # max_length: Optional[int] = None,
+ # return_tensors: Optional[Union[str, TensorType]] = None,
+ # return_dict: bool = False,
+ # tokenizer_kwargs: Optional[Dict[str, Any]] = None,
+ # add_special_tokens: bool = True,
+ # **kwargs,
+ # ) -> Union[str, List[int], List[str], List[List[int]], BatchEncoding]:
+ #
+ # if return_dict and not tokenize:
+ # raise ValueError(
+ # "`return_dict=True` is incompatible with `tokenize=False`, because there is no dict "
+ # "of tokenizer outputs to return."
+ # )
+ #
+ # def handle_single_conversation(conversation):
+ # input_ids = self.get_prefix_tokens() if add_special_tokens else []
+ # input_message = "[gMASK]" if add_special_tokens else ""
+ # for item in conversation:
+ # if item.get("tools"):
+ # tools = item["tools"]
+ # content = "你是一个名为 GhatGLM 的人工智能助手。你是基于智谱AI训练的语言模型 GLM-4 模型开发的,你的任务是针对用户的问题和要求提供适当的答复和支持。"
+ # content += "\n\n# 可用工具"
+ # for tool in tools:
+ # if tool["type"] == "function":
+ # function = tool["function"]
+ # content += f"\n\n## {function['name']}\n\n{json.dumps(function, ensure_ascii=False, indent=4)}"
+ # content += "\n在调用上述函数时,请使用 Json 格式表示调用的参数。"
+ # elif tool["type"] == "python":
+ # content += "\n\n## python\n\n当你向 `python` 发送包含 Python 代码的消息时,该代码将会在一个有状态的 Jupyter notebook 环境中执行。\n`python` 返回代码执行的输出,或在执行 60 秒后返回超时。\n`/mnt/data` 将会持久化存储你的文件。在此会话中,`python` 无法访问互联网。不要使用 `python` 进行任何网络请求或者在线 API 调用,这些在线内容的访问将不会成功。"
+ # elif tool["type"] == "simple_browser":
+ # content += "\n\n## simple_browser\n\n你可以使用 `simple_browser` 工具。该工具支持以下函数:\n`search(query: str, recency_days: int)`:使用搜索引擎进行查询并显示结果,可以使用 `recency_days` 参数控制搜索内容的时效性。\n`mclick(ids: list[int])`:获取一系列指定 id 的页面内容。每次调用时,须选择3-10个页面。选择多个角度的页面,同时尽可能选择可信任的信息来源。考虑到部分页面是无法加载的,你也可以多打开一些可能有用的页面而不用担心内容过多。\n`open_url(url: str)`:打开指定的 URL。\n\n使用 `【{引用 id}†{引用文本}】` 来引用内容。\n\n操作步骤:1. 使用 `search` 来获得信息列表; 2. 使用 `mclick` 来获取指定 ID 页面的内容; 3. 根据获得的内容进行回复。在回复中应当引用信息来源。\n 如果用户提供了 URL,也可以用 `open_url` 直接打开页面。\n如果初次搜索结果没有找到合适的信息,也可以再次使用 `search` 进行搜索。"
+ # elif tool["type"] == "cogview":
+ # content += "\n\n## cogview\n\n如果用户的请求中包含了对图像的描述,你可以使用 `cogview` 来生成图像并展示给用户。你需要向 `cogview` 发送图像描述,规则:\n- 发送给 `cogview` 的消息必须使用英语。用户的中文描述必须完全翻译为英语。\n- 应当尽可能详细地描述图像生成的需求,需求描述约 100 英文单词。\n- 保持用户原始描述的意图。不要虚构内容或者没见过的人物。\n- 如无特殊说明,所在地为中国,持有中国立场并遵循中国社会主义价值观。"
+ # else:
+ # raise NotImplementedError(f"Unknown tool type {tool['type']}")
+ # input = self.build_single_message("system", "", content, tokenize=tokenize)
+ # if tokenize:
+ # input_ids.extend(input)
+ # else:
+ # input_message += input
+ # if item["content"]:
+ # input = self.build_single_message(
+ # item["role"],
+ # item.get("metadata", ""),
+ # item["content"],
+ # tokenize=tokenize
+ # )
+ # if tokenize:
+ # input_ids.extend(input)
+ # else:
+ # input_message += input
+ # if add_generation_prompt:
+ # if tokenize:
+ # input_ids.extend([self.convert_tokens_to_ids("<|assistant|>")])
+ # else:
+ # input_message += "<|assistant|>"
+ # return input_ids if tokenize else input_message
+ #
+ # # Main logic to handle different conversation formats
+ # if isinstance(conversation, list) and all(isinstance(i, dict) for i in conversation):
+ # result = handle_single_conversation(conversation)
+ # elif isinstance(conversation, list) and all(isinstance(i, list) for i in conversation):
+ # result = [handle_single_conversation(c) for c in conversation]
+ # elif hasattr(conversation, "messages"):
+ # result = handle_single_conversation(conversation.messages)
+ # else:
+ # raise ValueError("Invalid conversation format")
+ #
+ # if tokenize:
+ # output = self.batch_encode_plus(
+ # [result] if isinstance(result[0], int) else result,
+ # padding=padding,
+ # truncation=truncation,
+ # max_length=max_length,
+ # return_tensors=return_tensors,
+ # is_split_into_words=True,
+ # add_special_tokens=False
+ # )
+ # if return_dict:
+ # return output
+ # else:
+ # return output["input_ids"]
+ # else:
+ # return result
+
+ def build_inputs_with_special_tokens(
+ self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
+ ) -> List[int]:
+ """
+ Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and
+ adding special tokens. A BERT sequence has the following format:
+
+ - single sequence: `[CLS] X [SEP]`
+ - pair of sequences: `[CLS] A [SEP] B [SEP]`
+
+ Args:
+ token_ids_0 (`List[int]`):
+ List of IDs to which the special tokens will be added.
+ token_ids_1 (`List[int]`, *optional*):
+ Optional second list of IDs for sequence pairs.
+
+ Returns:
+ `List[int]`: List of [input IDs](../glossary#input-ids) with the appropriate special tokens.
+ """
+ prefix_tokens = self.get_prefix_tokens()
+ token_ids_0 = prefix_tokens + token_ids_0
+ if token_ids_1 is not None:
+ token_ids_0 = token_ids_0 + token_ids_1 + [self.convert_tokens_to_ids("")]
+ return token_ids_0
+
+ def _pad(
+ self,
+ encoded_inputs: Union[Dict[str, EncodedInput], BatchEncoding],
+ max_length: Optional[int] = None,
+ padding_strategy: PaddingStrategy = PaddingStrategy.DO_NOT_PAD,
+ pad_to_multiple_of: Optional[int] = None,
+ return_attention_mask: Optional[bool] = None,
+ ) -> dict:
+ """
+ Pad encoded inputs (on left/right and up to predefined length or max length in the batch)
+
+ Args:
+ encoded_inputs:
+ Dictionary of tokenized inputs (`List[int]`) or batch of tokenized inputs (`List[List[int]]`).
+ max_length: maximum length of the returned list and optionally padding length (see below).
+ Will truncate by taking into account the special tokens.
+ padding_strategy: PaddingStrategy to use for padding.
+
+ - PaddingStrategy.LONGEST Pad to the longest sequence in the batch
+ - PaddingStrategy.MAX_LENGTH: Pad to the max length (default)
+ - PaddingStrategy.DO_NOT_PAD: Do not pad
+ The tokenizer padding sides are defined in self.padding_side:
+
+ - 'left': pads on the left of the sequences
+ - 'right': pads on the right of the sequences
+ pad_to_multiple_of: (optional) Integer if set will pad the sequence to a multiple of the provided value.
+ This is especially useful to enable the use of Tensor Core on NVIDIA hardware with compute capability
+ `>= 7.5` (Volta).
+ return_attention_mask:
+ (optional) Set to False to avoid returning attention mask (default: set to model specifics)
+ """
+ # Load from model defaults
+ assert self.padding_side == "left"
+
+ required_input = encoded_inputs[self.model_input_names[0]]
+ seq_length = len(required_input)
+
+ if padding_strategy == PaddingStrategy.LONGEST:
+ max_length = len(required_input)
+
+ if max_length is not None and pad_to_multiple_of is not None and (max_length % pad_to_multiple_of != 0):
+ max_length = ((max_length // pad_to_multiple_of) + 1) * pad_to_multiple_of
+
+ needs_to_be_padded = padding_strategy != PaddingStrategy.DO_NOT_PAD and len(required_input) != max_length
+
+ # Initialize attention mask if not present.
+ if "attention_mask" not in encoded_inputs:
+ encoded_inputs["attention_mask"] = [1] * seq_length
+
+ if "position_ids" not in encoded_inputs:
+ encoded_inputs["position_ids"] = list(range(seq_length))
+
+ if needs_to_be_padded:
+ difference = max_length - len(required_input)
+
+ if "attention_mask" in encoded_inputs:
+ encoded_inputs["attention_mask"] = [0] * difference + encoded_inputs["attention_mask"]
+ if "position_ids" in encoded_inputs:
+ encoded_inputs["position_ids"] = [0] * difference + encoded_inputs["position_ids"]
+ encoded_inputs[self.model_input_names[0]] = [self.pad_token_id] * difference + required_input
+
+ return encoded_inputs
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/tokenizer.model b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/tokenizer.model
new file mode 100644
index 0000000000000000000000000000000000000000..8650fd94d949375a2ab1f4975e7e6ff51ebc364a
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/tokenizer.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a493598071550244b2ee7f26118f3edec2150b9dfa967929a99052ac83fe716
+size 2623634
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/tokenizer_config.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..290fad7eade99ef9cda90a6092de906ef2d77acd
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/tokenizer_config.json
@@ -0,0 +1,148 @@
+{
+ "added_tokens_decoder": {
+ "151329": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151330": {
+ "content": "[MASK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151331": {
+ "content": "[gMASK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151332": {
+ "content": "[sMASK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151333": {
+ "content": "",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151334": {
+ "content": "",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151335": {
+ "content": "<|system|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151336": {
+ "content": "<|user|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151337": {
+ "content": "<|assistant|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151338": {
+ "content": "<|observation|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151339": {
+ "content": "<|begin_of_image|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151340": {
+ "content": "<|end_of_image|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151341": {
+ "content": "<|begin_of_video|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151342": {
+ "content": "<|end_of_video|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ }
+ },
+ "additional_special_tokens": [
+ "<|endoftext|>",
+ "[MASK]",
+ "[gMASK]",
+ "[sMASK]",
+ "",
+ "",
+ "<|system|>",
+ "<|user|>",
+ "<|assistant|>",
+ "<|observation|>",
+ "<|begin_of_image|>",
+ "<|end_of_image|>",
+ "<|begin_of_video|>",
+ "<|end_of_video|>"
+ ],
+ "auto_map": {
+ "AutoTokenizer": [
+ "tokenization_chatglm.ChatGLM4Tokenizer",
+ null
+ ]
+ },
+ "chat_template": "{{ '[gMASK]' }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|system|>\n' + system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|user|>\n' + content + '<|assistant|>' }}{% elif message['role'] == 'assistant' %}{{ '\n' + content }}{% endif %}{% endfor %}",
+ "clean_up_tokenization_spaces": false,
+ "do_lower_case": false,
+ "eos_token": "<|endoftext|>",
+ "model_max_length": 1024000,
+ "pad_token": "<|endoftext|>",
+ "padding_side": "right",
+ "remove_space": false,
+ "split_special_tokens": false,
+ "tokenizer_class": "ChatGLM4Tokenizer"
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/trainer_state.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..09ba1d10178b4b2b02559bf181008c782b29f5f8
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/trainer_state.json
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+ "eval_steps_per_second": 10.351,
+ "step": 350
+ }
+ ],
+ "logging_steps": 10,
+ "max_steps": 700,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 4,
+ "save_steps": 175,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 1.0990704677698929e+18,
+ "train_batch_size": 16,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/training_args.bin b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..8bb5a597226fb939ff9c6f0d3036e88de80c68c2
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-350/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e4c1499d6e076005abc099edcb2229c05317ae85d06821d1d4ba40656e39b6d
+size 5304
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/README.md b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..8a25a4498c7ba2e7ef04fc9e0ebdf0b56b6e55c6
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/README.md
@@ -0,0 +1,202 @@
+---
+library_name: peft
+base_model: THUDM/glm-4-9b-chat-1m
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.11.1
\ No newline at end of file
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/adapter_config.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..5c1b8ef4a4f349811df50f197c75da2a5c6f16b8
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/adapter_config.json
@@ -0,0 +1,31 @@
+{
+ "alpha_pattern": {},
+ "auto_mapping": null,
+ "base_model_name_or_path": "THUDM/glm-4-9b-chat-1m",
+ "bias": "none",
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 16,
+ "lora_dropout": 0.0,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "r": 8,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "query_key_value",
+ "dense_h_to_4h",
+ "dense_4h_to_h",
+ "dense"
+ ],
+ "task_type": "CAUSAL_LM",
+ "use_dora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/adapter_model.safetensors b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..454d4aa00bfc00e18873ae8d6593fd50470997c4
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e4cb21bf4ec98c040ffb33346421ff9985dd59b9150cc1ab5b8ca69b444eb11
+size 85409560
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/added_tokens.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/added_tokens.json
new file mode 100644
index 0000000000000000000000000000000000000000..f3a7f4eaefbf184faa4a5a188a399538df4c8c36
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/added_tokens.json
@@ -0,0 +1,16 @@
+{
+ "": 151334,
+ "": 151333,
+ "<|assistant|>": 151337,
+ "<|begin_of_image|>": 151339,
+ "<|begin_of_video|>": 151341,
+ "<|end_of_image|>": 151340,
+ "<|end_of_video|>": 151342,
+ "<|endoftext|>": 151329,
+ "<|observation|>": 151338,
+ "<|system|>": 151335,
+ "<|user|>": 151336,
+ "[MASK]": 151330,
+ "[gMASK]": 151331,
+ "[sMASK]": 151332
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/optimizer.pt b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/optimizer.pt
new file mode 100644
index 0000000000000000000000000000000000000000..19668540d92727f5508b4f1205b8e905fca86d35
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/optimizer.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8951555ed951e9fe5b74305f7ded077df4ad3dd9df2716649871900a431e1ae
+size 170990330
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/rng_state.pth b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/rng_state.pth
new file mode 100644
index 0000000000000000000000000000000000000000..41dfa7d7903dea42d227bad638c2c750928d590c
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c062f7f375beded48b5337f5a3f3a5cb38807fa3e85dbf3e294c0ab6b627bfc2
+size 14244
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/scheduler.pt b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/scheduler.pt
new file mode 100644
index 0000000000000000000000000000000000000000..c77dea7109c50be062f23627c8883058513fe0f3
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/scheduler.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eed90e588b5c04a63000dc8b8376b1e11f37980f3dd5d73e4c2a4b71a995cf3a
+size 1064
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/special_tokens_map.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..582da4ad333feaaa0c427b4678a3e48447ea932f
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/special_tokens_map.json
@@ -0,0 +1,32 @@
+{
+ "additional_special_tokens": [
+ "<|endoftext|>",
+ "[MASK]",
+ "[gMASK]",
+ "[sMASK]",
+ "",
+ "",
+ "<|system|>",
+ "<|user|>",
+ "<|assistant|>",
+ "<|observation|>",
+ "<|begin_of_image|>",
+ "<|end_of_image|>",
+ "<|begin_of_video|>",
+ "<|end_of_video|>"
+ ],
+ "eos_token": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ },
+ "pad_token": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ }
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/tokenization_chatglm.py b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/tokenization_chatglm.py
new file mode 100644
index 0000000000000000000000000000000000000000..7eeff3b02adcef48d4d69058ff36a390f6902273
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/tokenization_chatglm.py
@@ -0,0 +1,323 @@
+import regex as re
+import base64
+import os
+import json
+import tiktoken
+from torch import TensorType
+from typing import List, Optional, Union, Dict, Any
+from transformers import PreTrainedTokenizer
+from transformers.utils import logging, PaddingStrategy
+from transformers.tokenization_utils_base import EncodedInput, BatchEncoding
+
+
+class ChatGLM4Tokenizer(PreTrainedTokenizer):
+ vocab_files_names = {"vocab_file": "tokenizer.model"}
+ model_input_names = ["input_ids", "attention_mask", "position_ids"]
+
+ def __init__(
+ self,
+ vocab_file,
+ padding_side="left",
+ clean_up_tokenization_spaces=False,
+ encode_special_tokens=False,
+ **kwargs
+ ):
+ self.name = "GLM4Tokenizer"
+ self.vocab_file = vocab_file
+ pat_str = "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+"
+ self.pat_str = re.compile(pat_str)
+ self.encode_special_tokens = encode_special_tokens
+
+ mergeable_ranks = {}
+ with open(vocab_file) as f:
+ for line in f:
+ token, rank = line.strip().split()
+ rank = int(rank)
+ token = base64.b64decode(token)
+ mergeable_ranks[token] = rank
+
+ self.mergeable_ranks = mergeable_ranks
+
+ self.tokenizer = tiktoken.Encoding(
+ name="my_tokenizer",
+ pat_str=pat_str,
+ mergeable_ranks=mergeable_ranks,
+ special_tokens={}
+ )
+ self.decoder = {rank: token for token, rank in mergeable_ranks.items()}
+ self.n_words = len(self.decoder)
+
+ super().__init__(
+ padding_side=padding_side,
+ clean_up_tokenization_spaces=clean_up_tokenization_spaces,
+ **kwargs
+ )
+
+ @property
+ def vocab_size(self):
+ return self.n_words
+
+ def get_vocab(self):
+ """ Returns vocab as a dict """
+ vocab = {self._convert_id_to_token(i): i for i in range(self.vocab_size)}
+ vocab.update(self.added_tokens_encoder)
+ return vocab
+
+ def convert_tokens_to_string(self, tokens: List[Union[bytes, str, int]]) -> str:
+ """
+ Converts a sequence of tokens in a single string.
+ """
+ text = ""
+ temp = b""
+ for t in tokens:
+ if isinstance(t, int):
+ t = chr(t)
+ if isinstance(t, str):
+ if temp:
+ text += temp.decode("utf-8", errors="replace")
+ elif isinstance(t, bytes):
+ temp += t
+ else:
+ raise TypeError("token should only be of type int, bytes or str")
+ if temp:
+ text += temp.decode("utf-8", errors="replace")
+ return text
+
+ def _tokenize(self, text, **kwargs):
+ tokens = []
+ ids = self.tokenizer.encode(text)
+ for t in ids:
+ tokens.append(self.decoder[t])
+ return tokens
+
+ def _convert_token_to_id(self, token):
+ """ Converts a token (str) in an id using the vocab. """
+ return self.mergeable_ranks[token]
+
+ def _convert_id_to_token(self, index):
+ """Converts an index (integer) in a token (str) using the vocab."""
+ return self.decoder.get(index, "")
+
+ def save_vocabulary(self, save_directory, filename_prefix=None):
+ """
+ Save the vocabulary and special tokens file to a directory.
+
+ Args:
+ save_directory (`str`):
+ The directory in which to save the vocabulary.
+ filename_prefix (`str`, *optional*):
+ An optional prefix to add to the named of the saved files.
+
+ Returns:
+ `Tuple(str)`: Paths to the files saved.
+ """
+ if os.path.isdir(save_directory):
+ vocab_file = os.path.join(
+ save_directory, self.vocab_files_names["vocab_file"]
+ )
+ else:
+ vocab_file = save_directory
+
+ with open(self.vocab_file, 'rb') as fin:
+ proto_str = fin.read()
+
+ with open(vocab_file, "wb") as writer:
+ writer.write(proto_str)
+
+ return (vocab_file,)
+
+ def get_prefix_tokens(self):
+ prefix_tokens = [self.convert_tokens_to_ids("[gMASK]"), self.convert_tokens_to_ids("")]
+ return prefix_tokens
+
+ def build_single_message(self, role, metadata, message, tokenize=True):
+ assert role in ["system", "user", "assistant", "observation"], role
+ if tokenize:
+ role_tokens = [self.convert_tokens_to_ids(f"<|{role}|>")] + self.tokenizer.encode(f"{metadata}\n",
+ disallowed_special=())
+ message_tokens = self.tokenizer.encode(message, disallowed_special=())
+ tokens = role_tokens + message_tokens
+ return tokens
+ else:
+ return str(f"<|{role}|>{metadata}\n{message}")
+
+ # Use Jinja Template in tokenizer_config.json
+ # def apply_chat_template(
+ # self,
+ # conversation: Union[List[Dict[str, str]], List[List[Dict[str, str]]], "Conversation"],
+ # add_generation_prompt: bool = False,
+ # tokenize: bool = True,
+ # padding: bool = False,
+ # truncation: bool = False,
+ # max_length: Optional[int] = None,
+ # return_tensors: Optional[Union[str, TensorType]] = None,
+ # return_dict: bool = False,
+ # tokenizer_kwargs: Optional[Dict[str, Any]] = None,
+ # add_special_tokens: bool = True,
+ # **kwargs,
+ # ) -> Union[str, List[int], List[str], List[List[int]], BatchEncoding]:
+ #
+ # if return_dict and not tokenize:
+ # raise ValueError(
+ # "`return_dict=True` is incompatible with `tokenize=False`, because there is no dict "
+ # "of tokenizer outputs to return."
+ # )
+ #
+ # def handle_single_conversation(conversation):
+ # input_ids = self.get_prefix_tokens() if add_special_tokens else []
+ # input_message = "[gMASK]" if add_special_tokens else ""
+ # for item in conversation:
+ # if item.get("tools"):
+ # tools = item["tools"]
+ # content = "你是一个名为 GhatGLM 的人工智能助手。你是基于智谱AI训练的语言模型 GLM-4 模型开发的,你的任务是针对用户的问题和要求提供适当的答复和支持。"
+ # content += "\n\n# 可用工具"
+ # for tool in tools:
+ # if tool["type"] == "function":
+ # function = tool["function"]
+ # content += f"\n\n## {function['name']}\n\n{json.dumps(function, ensure_ascii=False, indent=4)}"
+ # content += "\n在调用上述函数时,请使用 Json 格式表示调用的参数。"
+ # elif tool["type"] == "python":
+ # content += "\n\n## python\n\n当你向 `python` 发送包含 Python 代码的消息时,该代码将会在一个有状态的 Jupyter notebook 环境中执行。\n`python` 返回代码执行的输出,或在执行 60 秒后返回超时。\n`/mnt/data` 将会持久化存储你的文件。在此会话中,`python` 无法访问互联网。不要使用 `python` 进行任何网络请求或者在线 API 调用,这些在线内容的访问将不会成功。"
+ # elif tool["type"] == "simple_browser":
+ # content += "\n\n## simple_browser\n\n你可以使用 `simple_browser` 工具。该工具支持以下函数:\n`search(query: str, recency_days: int)`:使用搜索引擎进行查询并显示结果,可以使用 `recency_days` 参数控制搜索内容的时效性。\n`mclick(ids: list[int])`:获取一系列指定 id 的页面内容。每次调用时,须选择3-10个页面。选择多个角度的页面,同时尽可能选择可信任的信息来源。考虑到部分页面是无法加载的,你也可以多打开一些可能有用的页面而不用担心内容过多。\n`open_url(url: str)`:打开指定的 URL。\n\n使用 `【{引用 id}†{引用文本}】` 来引用内容。\n\n操作步骤:1. 使用 `search` 来获得信息列表; 2. 使用 `mclick` 来获取指定 ID 页面的内容; 3. 根据获得的内容进行回复。在回复中应当引用信息来源。\n 如果用户提供了 URL,也可以用 `open_url` 直接打开页面。\n如果初次搜索结果没有找到合适的信息,也可以再次使用 `search` 进行搜索。"
+ # elif tool["type"] == "cogview":
+ # content += "\n\n## cogview\n\n如果用户的请求中包含了对图像的描述,你可以使用 `cogview` 来生成图像并展示给用户。你需要向 `cogview` 发送图像描述,规则:\n- 发送给 `cogview` 的消息必须使用英语。用户的中文描述必须完全翻译为英语。\n- 应当尽可能详细地描述图像生成的需求,需求描述约 100 英文单词。\n- 保持用户原始描述的意图。不要虚构内容或者没见过的人物。\n- 如无特殊说明,所在地为中国,持有中国立场并遵循中国社会主义价值观。"
+ # else:
+ # raise NotImplementedError(f"Unknown tool type {tool['type']}")
+ # input = self.build_single_message("system", "", content, tokenize=tokenize)
+ # if tokenize:
+ # input_ids.extend(input)
+ # else:
+ # input_message += input
+ # if item["content"]:
+ # input = self.build_single_message(
+ # item["role"],
+ # item.get("metadata", ""),
+ # item["content"],
+ # tokenize=tokenize
+ # )
+ # if tokenize:
+ # input_ids.extend(input)
+ # else:
+ # input_message += input
+ # if add_generation_prompt:
+ # if tokenize:
+ # input_ids.extend([self.convert_tokens_to_ids("<|assistant|>")])
+ # else:
+ # input_message += "<|assistant|>"
+ # return input_ids if tokenize else input_message
+ #
+ # # Main logic to handle different conversation formats
+ # if isinstance(conversation, list) and all(isinstance(i, dict) for i in conversation):
+ # result = handle_single_conversation(conversation)
+ # elif isinstance(conversation, list) and all(isinstance(i, list) for i in conversation):
+ # result = [handle_single_conversation(c) for c in conversation]
+ # elif hasattr(conversation, "messages"):
+ # result = handle_single_conversation(conversation.messages)
+ # else:
+ # raise ValueError("Invalid conversation format")
+ #
+ # if tokenize:
+ # output = self.batch_encode_plus(
+ # [result] if isinstance(result[0], int) else result,
+ # padding=padding,
+ # truncation=truncation,
+ # max_length=max_length,
+ # return_tensors=return_tensors,
+ # is_split_into_words=True,
+ # add_special_tokens=False
+ # )
+ # if return_dict:
+ # return output
+ # else:
+ # return output["input_ids"]
+ # else:
+ # return result
+
+ def build_inputs_with_special_tokens(
+ self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
+ ) -> List[int]:
+ """
+ Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and
+ adding special tokens. A BERT sequence has the following format:
+
+ - single sequence: `[CLS] X [SEP]`
+ - pair of sequences: `[CLS] A [SEP] B [SEP]`
+
+ Args:
+ token_ids_0 (`List[int]`):
+ List of IDs to which the special tokens will be added.
+ token_ids_1 (`List[int]`, *optional*):
+ Optional second list of IDs for sequence pairs.
+
+ Returns:
+ `List[int]`: List of [input IDs](../glossary#input-ids) with the appropriate special tokens.
+ """
+ prefix_tokens = self.get_prefix_tokens()
+ token_ids_0 = prefix_tokens + token_ids_0
+ if token_ids_1 is not None:
+ token_ids_0 = token_ids_0 + token_ids_1 + [self.convert_tokens_to_ids("")]
+ return token_ids_0
+
+ def _pad(
+ self,
+ encoded_inputs: Union[Dict[str, EncodedInput], BatchEncoding],
+ max_length: Optional[int] = None,
+ padding_strategy: PaddingStrategy = PaddingStrategy.DO_NOT_PAD,
+ pad_to_multiple_of: Optional[int] = None,
+ return_attention_mask: Optional[bool] = None,
+ ) -> dict:
+ """
+ Pad encoded inputs (on left/right and up to predefined length or max length in the batch)
+
+ Args:
+ encoded_inputs:
+ Dictionary of tokenized inputs (`List[int]`) or batch of tokenized inputs (`List[List[int]]`).
+ max_length: maximum length of the returned list and optionally padding length (see below).
+ Will truncate by taking into account the special tokens.
+ padding_strategy: PaddingStrategy to use for padding.
+
+ - PaddingStrategy.LONGEST Pad to the longest sequence in the batch
+ - PaddingStrategy.MAX_LENGTH: Pad to the max length (default)
+ - PaddingStrategy.DO_NOT_PAD: Do not pad
+ The tokenizer padding sides are defined in self.padding_side:
+
+ - 'left': pads on the left of the sequences
+ - 'right': pads on the right of the sequences
+ pad_to_multiple_of: (optional) Integer if set will pad the sequence to a multiple of the provided value.
+ This is especially useful to enable the use of Tensor Core on NVIDIA hardware with compute capability
+ `>= 7.5` (Volta).
+ return_attention_mask:
+ (optional) Set to False to avoid returning attention mask (default: set to model specifics)
+ """
+ # Load from model defaults
+ assert self.padding_side == "left"
+
+ required_input = encoded_inputs[self.model_input_names[0]]
+ seq_length = len(required_input)
+
+ if padding_strategy == PaddingStrategy.LONGEST:
+ max_length = len(required_input)
+
+ if max_length is not None and pad_to_multiple_of is not None and (max_length % pad_to_multiple_of != 0):
+ max_length = ((max_length // pad_to_multiple_of) + 1) * pad_to_multiple_of
+
+ needs_to_be_padded = padding_strategy != PaddingStrategy.DO_NOT_PAD and len(required_input) != max_length
+
+ # Initialize attention mask if not present.
+ if "attention_mask" not in encoded_inputs:
+ encoded_inputs["attention_mask"] = [1] * seq_length
+
+ if "position_ids" not in encoded_inputs:
+ encoded_inputs["position_ids"] = list(range(seq_length))
+
+ if needs_to_be_padded:
+ difference = max_length - len(required_input)
+
+ if "attention_mask" in encoded_inputs:
+ encoded_inputs["attention_mask"] = [0] * difference + encoded_inputs["attention_mask"]
+ if "position_ids" in encoded_inputs:
+ encoded_inputs["position_ids"] = [0] * difference + encoded_inputs["position_ids"]
+ encoded_inputs[self.model_input_names[0]] = [self.pad_token_id] * difference + required_input
+
+ return encoded_inputs
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/tokenizer.model b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/tokenizer.model
new file mode 100644
index 0000000000000000000000000000000000000000..8650fd94d949375a2ab1f4975e7e6ff51ebc364a
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/tokenizer.model
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+oid sha256:5a493598071550244b2ee7f26118f3edec2150b9dfa967929a99052ac83fe716
+size 2623634
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/tokenizer_config.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..290fad7eade99ef9cda90a6092de906ef2d77acd
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/tokenizer_config.json
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+ "<|end_of_video|>"
+ ],
+ "auto_map": {
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+ "tokenization_chatglm.ChatGLM4Tokenizer",
+ null
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+ },
+ "chat_template": "{{ '[gMASK]' }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|system|>\n' + system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|user|>\n' + content + '<|assistant|>' }}{% elif message['role'] == 'assistant' %}{{ '\n' + content }}{% endif %}{% endfor %}",
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+ "step": 525
+ }
+ ],
+ "logging_steps": 10,
+ "max_steps": 700,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 4,
+ "save_steps": 175,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 1.6485758499327836e+18,
+ "train_batch_size": 16,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/training_args.bin b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..8bb5a597226fb939ff9c6f0d3036e88de80c68c2
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-525/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e4c1499d6e076005abc099edcb2229c05317ae85d06821d1d4ba40656e39b6d
+size 5304
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/README.md b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..8a25a4498c7ba2e7ef04fc9e0ebdf0b56b6e55c6
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/README.md
@@ -0,0 +1,202 @@
+---
+library_name: peft
+base_model: THUDM/glm-4-9b-chat-1m
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.11.1
\ No newline at end of file
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/adapter_config.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..5c1b8ef4a4f349811df50f197c75da2a5c6f16b8
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/adapter_config.json
@@ -0,0 +1,31 @@
+{
+ "alpha_pattern": {},
+ "auto_mapping": null,
+ "base_model_name_or_path": "THUDM/glm-4-9b-chat-1m",
+ "bias": "none",
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 16,
+ "lora_dropout": 0.0,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "r": 8,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "query_key_value",
+ "dense_h_to_4h",
+ "dense_4h_to_h",
+ "dense"
+ ],
+ "task_type": "CAUSAL_LM",
+ "use_dora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/adapter_model.safetensors b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..b8ead9cc1459de4e1ff9841f3e5159da956a32c7
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:174034f1cda532cf73771d9b72884ad7bd2407d6386a74b7db9477c3773e43a8
+size 85409560
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/added_tokens.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/added_tokens.json
new file mode 100644
index 0000000000000000000000000000000000000000..f3a7f4eaefbf184faa4a5a188a399538df4c8c36
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/added_tokens.json
@@ -0,0 +1,16 @@
+{
+ "": 151334,
+ "": 151333,
+ "<|assistant|>": 151337,
+ "<|begin_of_image|>": 151339,
+ "<|begin_of_video|>": 151341,
+ "<|end_of_image|>": 151340,
+ "<|end_of_video|>": 151342,
+ "<|endoftext|>": 151329,
+ "<|observation|>": 151338,
+ "<|system|>": 151335,
+ "<|user|>": 151336,
+ "[MASK]": 151330,
+ "[gMASK]": 151331,
+ "[sMASK]": 151332
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/optimizer.pt b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/optimizer.pt
new file mode 100644
index 0000000000000000000000000000000000000000..727abe6cf74370956f10a2a8fe79a49c7fd89e3b
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/optimizer.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3c97984c4a2bb48a832b454bc18558fba5a314c347dac5cdea33d2d5ebd3093f
+size 170990330
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/rng_state.pth b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/rng_state.pth
new file mode 100644
index 0000000000000000000000000000000000000000..407e47abbdfb90afd3e1f979b5c0260135d2050e
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9899ccda7f0d8d9511991180b93aab508ce6e8489de708c88ad1188e7e1d90d6
+size 14244
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/scheduler.pt b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/scheduler.pt
new file mode 100644
index 0000000000000000000000000000000000000000..d0d8d3e64bba25db69b78d81bdc703d70db4b3ca
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/scheduler.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:74a7bc0ea23e97876353b7517a7237588b1de0e7b7ef6fb965a1bbd1c649f55b
+size 1064
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/special_tokens_map.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..582da4ad333feaaa0c427b4678a3e48447ea932f
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/special_tokens_map.json
@@ -0,0 +1,32 @@
+{
+ "additional_special_tokens": [
+ "<|endoftext|>",
+ "[MASK]",
+ "[gMASK]",
+ "[sMASK]",
+ "",
+ "",
+ "<|system|>",
+ "<|user|>",
+ "<|assistant|>",
+ "<|observation|>",
+ "<|begin_of_image|>",
+ "<|end_of_image|>",
+ "<|begin_of_video|>",
+ "<|end_of_video|>"
+ ],
+ "eos_token": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ },
+ "pad_token": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ }
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/tokenization_chatglm.py b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/tokenization_chatglm.py
new file mode 100644
index 0000000000000000000000000000000000000000..7eeff3b02adcef48d4d69058ff36a390f6902273
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/tokenization_chatglm.py
@@ -0,0 +1,323 @@
+import regex as re
+import base64
+import os
+import json
+import tiktoken
+from torch import TensorType
+from typing import List, Optional, Union, Dict, Any
+from transformers import PreTrainedTokenizer
+from transformers.utils import logging, PaddingStrategy
+from transformers.tokenization_utils_base import EncodedInput, BatchEncoding
+
+
+class ChatGLM4Tokenizer(PreTrainedTokenizer):
+ vocab_files_names = {"vocab_file": "tokenizer.model"}
+ model_input_names = ["input_ids", "attention_mask", "position_ids"]
+
+ def __init__(
+ self,
+ vocab_file,
+ padding_side="left",
+ clean_up_tokenization_spaces=False,
+ encode_special_tokens=False,
+ **kwargs
+ ):
+ self.name = "GLM4Tokenizer"
+ self.vocab_file = vocab_file
+ pat_str = "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+"
+ self.pat_str = re.compile(pat_str)
+ self.encode_special_tokens = encode_special_tokens
+
+ mergeable_ranks = {}
+ with open(vocab_file) as f:
+ for line in f:
+ token, rank = line.strip().split()
+ rank = int(rank)
+ token = base64.b64decode(token)
+ mergeable_ranks[token] = rank
+
+ self.mergeable_ranks = mergeable_ranks
+
+ self.tokenizer = tiktoken.Encoding(
+ name="my_tokenizer",
+ pat_str=pat_str,
+ mergeable_ranks=mergeable_ranks,
+ special_tokens={}
+ )
+ self.decoder = {rank: token for token, rank in mergeable_ranks.items()}
+ self.n_words = len(self.decoder)
+
+ super().__init__(
+ padding_side=padding_side,
+ clean_up_tokenization_spaces=clean_up_tokenization_spaces,
+ **kwargs
+ )
+
+ @property
+ def vocab_size(self):
+ return self.n_words
+
+ def get_vocab(self):
+ """ Returns vocab as a dict """
+ vocab = {self._convert_id_to_token(i): i for i in range(self.vocab_size)}
+ vocab.update(self.added_tokens_encoder)
+ return vocab
+
+ def convert_tokens_to_string(self, tokens: List[Union[bytes, str, int]]) -> str:
+ """
+ Converts a sequence of tokens in a single string.
+ """
+ text = ""
+ temp = b""
+ for t in tokens:
+ if isinstance(t, int):
+ t = chr(t)
+ if isinstance(t, str):
+ if temp:
+ text += temp.decode("utf-8", errors="replace")
+ elif isinstance(t, bytes):
+ temp += t
+ else:
+ raise TypeError("token should only be of type int, bytes or str")
+ if temp:
+ text += temp.decode("utf-8", errors="replace")
+ return text
+
+ def _tokenize(self, text, **kwargs):
+ tokens = []
+ ids = self.tokenizer.encode(text)
+ for t in ids:
+ tokens.append(self.decoder[t])
+ return tokens
+
+ def _convert_token_to_id(self, token):
+ """ Converts a token (str) in an id using the vocab. """
+ return self.mergeable_ranks[token]
+
+ def _convert_id_to_token(self, index):
+ """Converts an index (integer) in a token (str) using the vocab."""
+ return self.decoder.get(index, "")
+
+ def save_vocabulary(self, save_directory, filename_prefix=None):
+ """
+ Save the vocabulary and special tokens file to a directory.
+
+ Args:
+ save_directory (`str`):
+ The directory in which to save the vocabulary.
+ filename_prefix (`str`, *optional*):
+ An optional prefix to add to the named of the saved files.
+
+ Returns:
+ `Tuple(str)`: Paths to the files saved.
+ """
+ if os.path.isdir(save_directory):
+ vocab_file = os.path.join(
+ save_directory, self.vocab_files_names["vocab_file"]
+ )
+ else:
+ vocab_file = save_directory
+
+ with open(self.vocab_file, 'rb') as fin:
+ proto_str = fin.read()
+
+ with open(vocab_file, "wb") as writer:
+ writer.write(proto_str)
+
+ return (vocab_file,)
+
+ def get_prefix_tokens(self):
+ prefix_tokens = [self.convert_tokens_to_ids("[gMASK]"), self.convert_tokens_to_ids("")]
+ return prefix_tokens
+
+ def build_single_message(self, role, metadata, message, tokenize=True):
+ assert role in ["system", "user", "assistant", "observation"], role
+ if tokenize:
+ role_tokens = [self.convert_tokens_to_ids(f"<|{role}|>")] + self.tokenizer.encode(f"{metadata}\n",
+ disallowed_special=())
+ message_tokens = self.tokenizer.encode(message, disallowed_special=())
+ tokens = role_tokens + message_tokens
+ return tokens
+ else:
+ return str(f"<|{role}|>{metadata}\n{message}")
+
+ # Use Jinja Template in tokenizer_config.json
+ # def apply_chat_template(
+ # self,
+ # conversation: Union[List[Dict[str, str]], List[List[Dict[str, str]]], "Conversation"],
+ # add_generation_prompt: bool = False,
+ # tokenize: bool = True,
+ # padding: bool = False,
+ # truncation: bool = False,
+ # max_length: Optional[int] = None,
+ # return_tensors: Optional[Union[str, TensorType]] = None,
+ # return_dict: bool = False,
+ # tokenizer_kwargs: Optional[Dict[str, Any]] = None,
+ # add_special_tokens: bool = True,
+ # **kwargs,
+ # ) -> Union[str, List[int], List[str], List[List[int]], BatchEncoding]:
+ #
+ # if return_dict and not tokenize:
+ # raise ValueError(
+ # "`return_dict=True` is incompatible with `tokenize=False`, because there is no dict "
+ # "of tokenizer outputs to return."
+ # )
+ #
+ # def handle_single_conversation(conversation):
+ # input_ids = self.get_prefix_tokens() if add_special_tokens else []
+ # input_message = "[gMASK]" if add_special_tokens else ""
+ # for item in conversation:
+ # if item.get("tools"):
+ # tools = item["tools"]
+ # content = "你是一个名为 GhatGLM 的人工智能助手。你是基于智谱AI训练的语言模型 GLM-4 模型开发的,你的任务是针对用户的问题和要求提供适当的答复和支持。"
+ # content += "\n\n# 可用工具"
+ # for tool in tools:
+ # if tool["type"] == "function":
+ # function = tool["function"]
+ # content += f"\n\n## {function['name']}\n\n{json.dumps(function, ensure_ascii=False, indent=4)}"
+ # content += "\n在调用上述函数时,请使用 Json 格式表示调用的参数。"
+ # elif tool["type"] == "python":
+ # content += "\n\n## python\n\n当你向 `python` 发送包含 Python 代码的消息时,该代码将会在一个有状态的 Jupyter notebook 环境中执行。\n`python` 返回代码执行的输出,或在执行 60 秒后返回超时。\n`/mnt/data` 将会持久化存储你的文件。在此会话中,`python` 无法访问互联网。不要使用 `python` 进行任何网络请求或者在线 API 调用,这些在线内容的访问将不会成功。"
+ # elif tool["type"] == "simple_browser":
+ # content += "\n\n## simple_browser\n\n你可以使用 `simple_browser` 工具。该工具支持以下函数:\n`search(query: str, recency_days: int)`:使用搜索引擎进行查询并显示结果,可以使用 `recency_days` 参数控制搜索内容的时效性。\n`mclick(ids: list[int])`:获取一系列指定 id 的页面内容。每次调用时,须选择3-10个页面。选择多个角度的页面,同时尽可能选择可信任的信息来源。考虑到部分页面是无法加载的,你也可以多打开一些可能有用的页面而不用担心内容过多。\n`open_url(url: str)`:打开指定的 URL。\n\n使用 `【{引用 id}†{引用文本}】` 来引用内容。\n\n操作步骤:1. 使用 `search` 来获得信息列表; 2. 使用 `mclick` 来获取指定 ID 页面的内容; 3. 根据获得的内容进行回复。在回复中应当引用信息来源。\n 如果用户提供了 URL,也可以用 `open_url` 直接打开页面。\n如果初次搜索结果没有找到合适的信息,也可以再次使用 `search` 进行搜索。"
+ # elif tool["type"] == "cogview":
+ # content += "\n\n## cogview\n\n如果用户的请求中包含了对图像的描述,你可以使用 `cogview` 来生成图像并展示给用户。你需要向 `cogview` 发送图像描述,规则:\n- 发送给 `cogview` 的消息必须使用英语。用户的中文描述必须完全翻译为英语。\n- 应当尽可能详细地描述图像生成的需求,需求描述约 100 英文单词。\n- 保持用户原始描述的意图。不要虚构内容或者没见过的人物。\n- 如无特殊说明,所在地为中国,持有中国立场并遵循中国社会主义价值观。"
+ # else:
+ # raise NotImplementedError(f"Unknown tool type {tool['type']}")
+ # input = self.build_single_message("system", "", content, tokenize=tokenize)
+ # if tokenize:
+ # input_ids.extend(input)
+ # else:
+ # input_message += input
+ # if item["content"]:
+ # input = self.build_single_message(
+ # item["role"],
+ # item.get("metadata", ""),
+ # item["content"],
+ # tokenize=tokenize
+ # )
+ # if tokenize:
+ # input_ids.extend(input)
+ # else:
+ # input_message += input
+ # if add_generation_prompt:
+ # if tokenize:
+ # input_ids.extend([self.convert_tokens_to_ids("<|assistant|>")])
+ # else:
+ # input_message += "<|assistant|>"
+ # return input_ids if tokenize else input_message
+ #
+ # # Main logic to handle different conversation formats
+ # if isinstance(conversation, list) and all(isinstance(i, dict) for i in conversation):
+ # result = handle_single_conversation(conversation)
+ # elif isinstance(conversation, list) and all(isinstance(i, list) for i in conversation):
+ # result = [handle_single_conversation(c) for c in conversation]
+ # elif hasattr(conversation, "messages"):
+ # result = handle_single_conversation(conversation.messages)
+ # else:
+ # raise ValueError("Invalid conversation format")
+ #
+ # if tokenize:
+ # output = self.batch_encode_plus(
+ # [result] if isinstance(result[0], int) else result,
+ # padding=padding,
+ # truncation=truncation,
+ # max_length=max_length,
+ # return_tensors=return_tensors,
+ # is_split_into_words=True,
+ # add_special_tokens=False
+ # )
+ # if return_dict:
+ # return output
+ # else:
+ # return output["input_ids"]
+ # else:
+ # return result
+
+ def build_inputs_with_special_tokens(
+ self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
+ ) -> List[int]:
+ """
+ Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and
+ adding special tokens. A BERT sequence has the following format:
+
+ - single sequence: `[CLS] X [SEP]`
+ - pair of sequences: `[CLS] A [SEP] B [SEP]`
+
+ Args:
+ token_ids_0 (`List[int]`):
+ List of IDs to which the special tokens will be added.
+ token_ids_1 (`List[int]`, *optional*):
+ Optional second list of IDs for sequence pairs.
+
+ Returns:
+ `List[int]`: List of [input IDs](../glossary#input-ids) with the appropriate special tokens.
+ """
+ prefix_tokens = self.get_prefix_tokens()
+ token_ids_0 = prefix_tokens + token_ids_0
+ if token_ids_1 is not None:
+ token_ids_0 = token_ids_0 + token_ids_1 + [self.convert_tokens_to_ids("")]
+ return token_ids_0
+
+ def _pad(
+ self,
+ encoded_inputs: Union[Dict[str, EncodedInput], BatchEncoding],
+ max_length: Optional[int] = None,
+ padding_strategy: PaddingStrategy = PaddingStrategy.DO_NOT_PAD,
+ pad_to_multiple_of: Optional[int] = None,
+ return_attention_mask: Optional[bool] = None,
+ ) -> dict:
+ """
+ Pad encoded inputs (on left/right and up to predefined length or max length in the batch)
+
+ Args:
+ encoded_inputs:
+ Dictionary of tokenized inputs (`List[int]`) or batch of tokenized inputs (`List[List[int]]`).
+ max_length: maximum length of the returned list and optionally padding length (see below).
+ Will truncate by taking into account the special tokens.
+ padding_strategy: PaddingStrategy to use for padding.
+
+ - PaddingStrategy.LONGEST Pad to the longest sequence in the batch
+ - PaddingStrategy.MAX_LENGTH: Pad to the max length (default)
+ - PaddingStrategy.DO_NOT_PAD: Do not pad
+ The tokenizer padding sides are defined in self.padding_side:
+
+ - 'left': pads on the left of the sequences
+ - 'right': pads on the right of the sequences
+ pad_to_multiple_of: (optional) Integer if set will pad the sequence to a multiple of the provided value.
+ This is especially useful to enable the use of Tensor Core on NVIDIA hardware with compute capability
+ `>= 7.5` (Volta).
+ return_attention_mask:
+ (optional) Set to False to avoid returning attention mask (default: set to model specifics)
+ """
+ # Load from model defaults
+ assert self.padding_side == "left"
+
+ required_input = encoded_inputs[self.model_input_names[0]]
+ seq_length = len(required_input)
+
+ if padding_strategy == PaddingStrategy.LONGEST:
+ max_length = len(required_input)
+
+ if max_length is not None and pad_to_multiple_of is not None and (max_length % pad_to_multiple_of != 0):
+ max_length = ((max_length // pad_to_multiple_of) + 1) * pad_to_multiple_of
+
+ needs_to_be_padded = padding_strategy != PaddingStrategy.DO_NOT_PAD and len(required_input) != max_length
+
+ # Initialize attention mask if not present.
+ if "attention_mask" not in encoded_inputs:
+ encoded_inputs["attention_mask"] = [1] * seq_length
+
+ if "position_ids" not in encoded_inputs:
+ encoded_inputs["position_ids"] = list(range(seq_length))
+
+ if needs_to_be_padded:
+ difference = max_length - len(required_input)
+
+ if "attention_mask" in encoded_inputs:
+ encoded_inputs["attention_mask"] = [0] * difference + encoded_inputs["attention_mask"]
+ if "position_ids" in encoded_inputs:
+ encoded_inputs["position_ids"] = [0] * difference + encoded_inputs["position_ids"]
+ encoded_inputs[self.model_input_names[0]] = [self.pad_token_id] * difference + required_input
+
+ return encoded_inputs
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/tokenizer.model b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/tokenizer.model
new file mode 100644
index 0000000000000000000000000000000000000000..8650fd94d949375a2ab1f4975e7e6ff51ebc364a
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/tokenizer.model
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+oid sha256:5a493598071550244b2ee7f26118f3edec2150b9dfa967929a99052ac83fe716
+size 2623634
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/tokenizer_config.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..290fad7eade99ef9cda90a6092de906ef2d77acd
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/tokenizer_config.json
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+ "<|begin_of_video|>",
+ "<|end_of_video|>"
+ ],
+ "auto_map": {
+ "AutoTokenizer": [
+ "tokenization_chatglm.ChatGLM4Tokenizer",
+ null
+ ]
+ },
+ "chat_template": "{{ '[gMASK]' }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|system|>\n' + system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|user|>\n' + content + '<|assistant|>' }}{% elif message['role'] == 'assistant' %}{{ '\n' + content }}{% endif %}{% endfor %}",
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+ "step": 525
+ },
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+ "grad_norm": 1.0328991413116455,
+ "learning_rate": 1.691570812015704e-05,
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+ "learning_rate": 1.5088159095696363e-05,
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+ "step": 540
+ },
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+ "grad_norm": 0.8614218235015869,
+ "learning_rate": 1.3347406408508695e-05,
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+ },
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+ "grad_norm": 1.3372440338134766,
+ "learning_rate": 1.1697777844051105e-05,
+ "loss": 0.08,
+ "step": 560
+ },
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+ "epoch": 3.2409381663113006,
+ "grad_norm": 1.123344898223877,
+ "learning_rate": 1.0143374638853891e-05,
+ "loss": 0.0808,
+ "step": 570
+ },
+ {
+ "epoch": 3.2977967306325517,
+ "grad_norm": 0.9171963334083557,
+ "learning_rate": 8.688061284200266e-06,
+ "loss": 0.0772,
+ "step": 580
+ },
+ {
+ "epoch": 3.3546552949538024,
+ "grad_norm": 0.9325005412101746,
+ "learning_rate": 7.33545591839222e-06,
+ "loss": 0.0789,
+ "step": 590
+ },
+ {
+ "epoch": 3.411513859275053,
+ "grad_norm": 1.3828816413879395,
+ "learning_rate": 6.088921331488568e-06,
+ "loss": 0.0735,
+ "step": 600
+ },
+ {
+ "epoch": 3.4683724235963043,
+ "grad_norm": 1.0204828977584839,
+ "learning_rate": 4.951556604879048e-06,
+ "loss": 0.0677,
+ "step": 610
+ },
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+ "epoch": 3.525230987917555,
+ "grad_norm": 1.1861661672592163,
+ "learning_rate": 3.9261894064796135e-06,
+ "loss": 0.0749,
+ "step": 620
+ },
+ {
+ "epoch": 3.582089552238806,
+ "grad_norm": 1.4528895616531372,
+ "learning_rate": 3.0153689607045845e-06,
+ "loss": 0.0779,
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+ },
+ {
+ "epoch": 3.638948116560057,
+ "grad_norm": 0.7038440108299255,
+ "learning_rate": 2.221359710692961e-06,
+ "loss": 0.0728,
+ "step": 640
+ },
+ {
+ "epoch": 3.695806680881308,
+ "grad_norm": 0.7958677411079407,
+ "learning_rate": 1.5461356885461075e-06,
+ "loss": 0.0678,
+ "step": 650
+ },
+ {
+ "epoch": 3.7526652452025586,
+ "grad_norm": 1.6378732919692993,
+ "learning_rate": 9.913756075728087e-07,
+ "loss": 0.0794,
+ "step": 660
+ },
+ {
+ "epoch": 3.8095238095238093,
+ "grad_norm": 1.3744556903839111,
+ "learning_rate": 5.584586887435739e-07,
+ "loss": 0.0758,
+ "step": 670
+ },
+ {
+ "epoch": 3.8663823738450604,
+ "grad_norm": 1.2300645112991333,
+ "learning_rate": 2.4846123172992954e-07,
+ "loss": 0.069,
+ "step": 680
+ },
+ {
+ "epoch": 3.923240938166311,
+ "grad_norm": 0.797208845615387,
+ "learning_rate": 6.215393905388278e-08,
+ "loss": 0.0803,
+ "step": 690
+ },
+ {
+ "epoch": 3.9800995024875623,
+ "grad_norm": 0.9430363774299622,
+ "learning_rate": 0.0,
+ "loss": 0.0688,
+ "step": 700
+ },
+ {
+ "epoch": 3.9800995024875623,
+ "eval_accuracy": 0.9329066666666666,
+ "eval_loss": 0.20613622665405273,
+ "eval_runtime": 241.7619,
+ "eval_samples_per_second": 10.341,
+ "eval_steps_per_second": 10.341,
+ "step": 700
+ }
+ ],
+ "logging_steps": 10,
+ "max_steps": 700,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 4,
+ "save_steps": 175,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": true
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 2.1980744088449188e+18,
+ "train_batch_size": 16,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/training_args.bin b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..8bb5a597226fb939ff9c6f0d3036e88de80c68c2
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/checkpoint-700/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e4c1499d6e076005abc099edcb2229c05317ae85d06821d1d4ba40656e39b6d
+size 5304
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/eval_results.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/eval_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..a889c74f7f487ca86b8796c4c619e7e84218b310
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/eval_results.json
@@ -0,0 +1,8 @@
+{
+ "epoch": 3.9800995024875623,
+ "eval_accuracy": 0.9329066666666666,
+ "eval_loss": 0.20613622665405273,
+ "eval_runtime": 243.7046,
+ "eval_samples_per_second": 10.258,
+ "eval_steps_per_second": 10.258
+}
\ No newline at end of file
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/special_tokens_map.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..582da4ad333feaaa0c427b4678a3e48447ea932f
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/special_tokens_map.json
@@ -0,0 +1,32 @@
+{
+ "additional_special_tokens": [
+ "<|endoftext|>",
+ "[MASK]",
+ "[gMASK]",
+ "[sMASK]",
+ "",
+ "",
+ "<|system|>",
+ "<|user|>",
+ "<|assistant|>",
+ "<|observation|>",
+ "<|begin_of_image|>",
+ "<|end_of_image|>",
+ "<|begin_of_video|>",
+ "<|end_of_video|>"
+ ],
+ "eos_token": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ },
+ "pad_token": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ }
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/tokenization_chatglm.py b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/tokenization_chatglm.py
new file mode 100644
index 0000000000000000000000000000000000000000..7eeff3b02adcef48d4d69058ff36a390f6902273
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/tokenization_chatglm.py
@@ -0,0 +1,323 @@
+import regex as re
+import base64
+import os
+import json
+import tiktoken
+from torch import TensorType
+from typing import List, Optional, Union, Dict, Any
+from transformers import PreTrainedTokenizer
+from transformers.utils import logging, PaddingStrategy
+from transformers.tokenization_utils_base import EncodedInput, BatchEncoding
+
+
+class ChatGLM4Tokenizer(PreTrainedTokenizer):
+ vocab_files_names = {"vocab_file": "tokenizer.model"}
+ model_input_names = ["input_ids", "attention_mask", "position_ids"]
+
+ def __init__(
+ self,
+ vocab_file,
+ padding_side="left",
+ clean_up_tokenization_spaces=False,
+ encode_special_tokens=False,
+ **kwargs
+ ):
+ self.name = "GLM4Tokenizer"
+ self.vocab_file = vocab_file
+ pat_str = "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+"
+ self.pat_str = re.compile(pat_str)
+ self.encode_special_tokens = encode_special_tokens
+
+ mergeable_ranks = {}
+ with open(vocab_file) as f:
+ for line in f:
+ token, rank = line.strip().split()
+ rank = int(rank)
+ token = base64.b64decode(token)
+ mergeable_ranks[token] = rank
+
+ self.mergeable_ranks = mergeable_ranks
+
+ self.tokenizer = tiktoken.Encoding(
+ name="my_tokenizer",
+ pat_str=pat_str,
+ mergeable_ranks=mergeable_ranks,
+ special_tokens={}
+ )
+ self.decoder = {rank: token for token, rank in mergeable_ranks.items()}
+ self.n_words = len(self.decoder)
+
+ super().__init__(
+ padding_side=padding_side,
+ clean_up_tokenization_spaces=clean_up_tokenization_spaces,
+ **kwargs
+ )
+
+ @property
+ def vocab_size(self):
+ return self.n_words
+
+ def get_vocab(self):
+ """ Returns vocab as a dict """
+ vocab = {self._convert_id_to_token(i): i for i in range(self.vocab_size)}
+ vocab.update(self.added_tokens_encoder)
+ return vocab
+
+ def convert_tokens_to_string(self, tokens: List[Union[bytes, str, int]]) -> str:
+ """
+ Converts a sequence of tokens in a single string.
+ """
+ text = ""
+ temp = b""
+ for t in tokens:
+ if isinstance(t, int):
+ t = chr(t)
+ if isinstance(t, str):
+ if temp:
+ text += temp.decode("utf-8", errors="replace")
+ elif isinstance(t, bytes):
+ temp += t
+ else:
+ raise TypeError("token should only be of type int, bytes or str")
+ if temp:
+ text += temp.decode("utf-8", errors="replace")
+ return text
+
+ def _tokenize(self, text, **kwargs):
+ tokens = []
+ ids = self.tokenizer.encode(text)
+ for t in ids:
+ tokens.append(self.decoder[t])
+ return tokens
+
+ def _convert_token_to_id(self, token):
+ """ Converts a token (str) in an id using the vocab. """
+ return self.mergeable_ranks[token]
+
+ def _convert_id_to_token(self, index):
+ """Converts an index (integer) in a token (str) using the vocab."""
+ return self.decoder.get(index, "")
+
+ def save_vocabulary(self, save_directory, filename_prefix=None):
+ """
+ Save the vocabulary and special tokens file to a directory.
+
+ Args:
+ save_directory (`str`):
+ The directory in which to save the vocabulary.
+ filename_prefix (`str`, *optional*):
+ An optional prefix to add to the named of the saved files.
+
+ Returns:
+ `Tuple(str)`: Paths to the files saved.
+ """
+ if os.path.isdir(save_directory):
+ vocab_file = os.path.join(
+ save_directory, self.vocab_files_names["vocab_file"]
+ )
+ else:
+ vocab_file = save_directory
+
+ with open(self.vocab_file, 'rb') as fin:
+ proto_str = fin.read()
+
+ with open(vocab_file, "wb") as writer:
+ writer.write(proto_str)
+
+ return (vocab_file,)
+
+ def get_prefix_tokens(self):
+ prefix_tokens = [self.convert_tokens_to_ids("[gMASK]"), self.convert_tokens_to_ids("")]
+ return prefix_tokens
+
+ def build_single_message(self, role, metadata, message, tokenize=True):
+ assert role in ["system", "user", "assistant", "observation"], role
+ if tokenize:
+ role_tokens = [self.convert_tokens_to_ids(f"<|{role}|>")] + self.tokenizer.encode(f"{metadata}\n",
+ disallowed_special=())
+ message_tokens = self.tokenizer.encode(message, disallowed_special=())
+ tokens = role_tokens + message_tokens
+ return tokens
+ else:
+ return str(f"<|{role}|>{metadata}\n{message}")
+
+ # Use Jinja Template in tokenizer_config.json
+ # def apply_chat_template(
+ # self,
+ # conversation: Union[List[Dict[str, str]], List[List[Dict[str, str]]], "Conversation"],
+ # add_generation_prompt: bool = False,
+ # tokenize: bool = True,
+ # padding: bool = False,
+ # truncation: bool = False,
+ # max_length: Optional[int] = None,
+ # return_tensors: Optional[Union[str, TensorType]] = None,
+ # return_dict: bool = False,
+ # tokenizer_kwargs: Optional[Dict[str, Any]] = None,
+ # add_special_tokens: bool = True,
+ # **kwargs,
+ # ) -> Union[str, List[int], List[str], List[List[int]], BatchEncoding]:
+ #
+ # if return_dict and not tokenize:
+ # raise ValueError(
+ # "`return_dict=True` is incompatible with `tokenize=False`, because there is no dict "
+ # "of tokenizer outputs to return."
+ # )
+ #
+ # def handle_single_conversation(conversation):
+ # input_ids = self.get_prefix_tokens() if add_special_tokens else []
+ # input_message = "[gMASK]" if add_special_tokens else ""
+ # for item in conversation:
+ # if item.get("tools"):
+ # tools = item["tools"]
+ # content = "你是一个名为 GhatGLM 的人工智能助手。你是基于智谱AI训练的语言模型 GLM-4 模型开发的,你的任务是针对用户的问题和要求提供适当的答复和支持。"
+ # content += "\n\n# 可用工具"
+ # for tool in tools:
+ # if tool["type"] == "function":
+ # function = tool["function"]
+ # content += f"\n\n## {function['name']}\n\n{json.dumps(function, ensure_ascii=False, indent=4)}"
+ # content += "\n在调用上述函数时,请使用 Json 格式表示调用的参数。"
+ # elif tool["type"] == "python":
+ # content += "\n\n## python\n\n当你向 `python` 发送包含 Python 代码的消息时,该代码将会在一个有状态的 Jupyter notebook 环境中执行。\n`python` 返回代码执行的输出,或在执行 60 秒后返回超时。\n`/mnt/data` 将会持久化存储你的文件。在此会话中,`python` 无法访问互联网。不要使用 `python` 进行任何网络请求或者在线 API 调用,这些在线内容的访问将不会成功。"
+ # elif tool["type"] == "simple_browser":
+ # content += "\n\n## simple_browser\n\n你可以使用 `simple_browser` 工具。该工具支持以下函数:\n`search(query: str, recency_days: int)`:使用搜索引擎进行查询并显示结果,可以使用 `recency_days` 参数控制搜索内容的时效性。\n`mclick(ids: list[int])`:获取一系列指定 id 的页面内容。每次调用时,须选择3-10个页面。选择多个角度的页面,同时尽可能选择可信任的信息来源。考虑到部分页面是无法加载的,你也可以多打开一些可能有用的页面而不用担心内容过多。\n`open_url(url: str)`:打开指定的 URL。\n\n使用 `【{引用 id}†{引用文本}】` 来引用内容。\n\n操作步骤:1. 使用 `search` 来获得信息列表; 2. 使用 `mclick` 来获取指定 ID 页面的内容; 3. 根据获得的内容进行回复。在回复中应当引用信息来源。\n 如果用户提供了 URL,也可以用 `open_url` 直接打开页面。\n如果初次搜索结果没有找到合适的信息,也可以再次使用 `search` 进行搜索。"
+ # elif tool["type"] == "cogview":
+ # content += "\n\n## cogview\n\n如果用户的请求中包含了对图像的描述,你可以使用 `cogview` 来生成图像并展示给用户。你需要向 `cogview` 发送图像描述,规则:\n- 发送给 `cogview` 的消息必须使用英语。用户的中文描述必须完全翻译为英语。\n- 应当尽可能详细地描述图像生成的需求,需求描述约 100 英文单词。\n- 保持用户原始描述的意图。不要虚构内容或者没见过的人物。\n- 如无特殊说明,所在地为中国,持有中国立场并遵循中国社会主义价值观。"
+ # else:
+ # raise NotImplementedError(f"Unknown tool type {tool['type']}")
+ # input = self.build_single_message("system", "", content, tokenize=tokenize)
+ # if tokenize:
+ # input_ids.extend(input)
+ # else:
+ # input_message += input
+ # if item["content"]:
+ # input = self.build_single_message(
+ # item["role"],
+ # item.get("metadata", ""),
+ # item["content"],
+ # tokenize=tokenize
+ # )
+ # if tokenize:
+ # input_ids.extend(input)
+ # else:
+ # input_message += input
+ # if add_generation_prompt:
+ # if tokenize:
+ # input_ids.extend([self.convert_tokens_to_ids("<|assistant|>")])
+ # else:
+ # input_message += "<|assistant|>"
+ # return input_ids if tokenize else input_message
+ #
+ # # Main logic to handle different conversation formats
+ # if isinstance(conversation, list) and all(isinstance(i, dict) for i in conversation):
+ # result = handle_single_conversation(conversation)
+ # elif isinstance(conversation, list) and all(isinstance(i, list) for i in conversation):
+ # result = [handle_single_conversation(c) for c in conversation]
+ # elif hasattr(conversation, "messages"):
+ # result = handle_single_conversation(conversation.messages)
+ # else:
+ # raise ValueError("Invalid conversation format")
+ #
+ # if tokenize:
+ # output = self.batch_encode_plus(
+ # [result] if isinstance(result[0], int) else result,
+ # padding=padding,
+ # truncation=truncation,
+ # max_length=max_length,
+ # return_tensors=return_tensors,
+ # is_split_into_words=True,
+ # add_special_tokens=False
+ # )
+ # if return_dict:
+ # return output
+ # else:
+ # return output["input_ids"]
+ # else:
+ # return result
+
+ def build_inputs_with_special_tokens(
+ self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
+ ) -> List[int]:
+ """
+ Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and
+ adding special tokens. A BERT sequence has the following format:
+
+ - single sequence: `[CLS] X [SEP]`
+ - pair of sequences: `[CLS] A [SEP] B [SEP]`
+
+ Args:
+ token_ids_0 (`List[int]`):
+ List of IDs to which the special tokens will be added.
+ token_ids_1 (`List[int]`, *optional*):
+ Optional second list of IDs for sequence pairs.
+
+ Returns:
+ `List[int]`: List of [input IDs](../glossary#input-ids) with the appropriate special tokens.
+ """
+ prefix_tokens = self.get_prefix_tokens()
+ token_ids_0 = prefix_tokens + token_ids_0
+ if token_ids_1 is not None:
+ token_ids_0 = token_ids_0 + token_ids_1 + [self.convert_tokens_to_ids("")]
+ return token_ids_0
+
+ def _pad(
+ self,
+ encoded_inputs: Union[Dict[str, EncodedInput], BatchEncoding],
+ max_length: Optional[int] = None,
+ padding_strategy: PaddingStrategy = PaddingStrategy.DO_NOT_PAD,
+ pad_to_multiple_of: Optional[int] = None,
+ return_attention_mask: Optional[bool] = None,
+ ) -> dict:
+ """
+ Pad encoded inputs (on left/right and up to predefined length or max length in the batch)
+
+ Args:
+ encoded_inputs:
+ Dictionary of tokenized inputs (`List[int]`) or batch of tokenized inputs (`List[List[int]]`).
+ max_length: maximum length of the returned list and optionally padding length (see below).
+ Will truncate by taking into account the special tokens.
+ padding_strategy: PaddingStrategy to use for padding.
+
+ - PaddingStrategy.LONGEST Pad to the longest sequence in the batch
+ - PaddingStrategy.MAX_LENGTH: Pad to the max length (default)
+ - PaddingStrategy.DO_NOT_PAD: Do not pad
+ The tokenizer padding sides are defined in self.padding_side:
+
+ - 'left': pads on the left of the sequences
+ - 'right': pads on the right of the sequences
+ pad_to_multiple_of: (optional) Integer if set will pad the sequence to a multiple of the provided value.
+ This is especially useful to enable the use of Tensor Core on NVIDIA hardware with compute capability
+ `>= 7.5` (Volta).
+ return_attention_mask:
+ (optional) Set to False to avoid returning attention mask (default: set to model specifics)
+ """
+ # Load from model defaults
+ assert self.padding_side == "left"
+
+ required_input = encoded_inputs[self.model_input_names[0]]
+ seq_length = len(required_input)
+
+ if padding_strategy == PaddingStrategy.LONGEST:
+ max_length = len(required_input)
+
+ if max_length is not None and pad_to_multiple_of is not None and (max_length % pad_to_multiple_of != 0):
+ max_length = ((max_length // pad_to_multiple_of) + 1) * pad_to_multiple_of
+
+ needs_to_be_padded = padding_strategy != PaddingStrategy.DO_NOT_PAD and len(required_input) != max_length
+
+ # Initialize attention mask if not present.
+ if "attention_mask" not in encoded_inputs:
+ encoded_inputs["attention_mask"] = [1] * seq_length
+
+ if "position_ids" not in encoded_inputs:
+ encoded_inputs["position_ids"] = list(range(seq_length))
+
+ if needs_to_be_padded:
+ difference = max_length - len(required_input)
+
+ if "attention_mask" in encoded_inputs:
+ encoded_inputs["attention_mask"] = [0] * difference + encoded_inputs["attention_mask"]
+ if "position_ids" in encoded_inputs:
+ encoded_inputs["position_ids"] = [0] * difference + encoded_inputs["position_ids"]
+ encoded_inputs[self.model_input_names[0]] = [self.pad_token_id] * difference + required_input
+
+ return encoded_inputs
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/tokenizer.model b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/tokenizer.model
new file mode 100644
index 0000000000000000000000000000000000000000..8650fd94d949375a2ab1f4975e7e6ff51ebc364a
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/tokenizer.model
@@ -0,0 +1,3 @@
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+size 2623634
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/tokenizer_config.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..290fad7eade99ef9cda90a6092de906ef2d77acd
--- /dev/null
+++ b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/tokenizer_config.json
@@ -0,0 +1,148 @@
+{
+ "added_tokens_decoder": {
+ "151329": {
+ "content": "<|endoftext|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
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+ "content": "[MASK]",
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+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151332": {
+ "content": "[sMASK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151333": {
+ "content": "",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
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+ "151334": {
+ "content": "",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
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+ "content": "<|system|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "151336": {
+ "content": "<|user|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
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+ "151337": {
+ "content": "<|assistant|>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
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+ "151338": {
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+ "special": true
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+ "content": "<|begin_of_video|>",
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+ "[sMASK]",
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+ "<|system|>",
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+ "<|assistant|>",
+ "<|observation|>",
+ "<|begin_of_image|>",
+ "<|end_of_image|>",
+ "<|begin_of_video|>",
+ "<|end_of_video|>"
+ ],
+ "auto_map": {
+ "AutoTokenizer": [
+ "tokenization_chatglm.ChatGLM4Tokenizer",
+ null
+ ]
+ },
+ "chat_template": "{{ '[gMASK]' }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|system|>\n' + system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|user|>\n' + content + '<|assistant|>' }}{% elif message['role'] == 'assistant' %}{{ '\n' + content }}{% endif %}{% endfor %}",
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+ "eos_token": "<|endoftext|>",
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+ "pad_token": "<|endoftext|>",
+ "padding_side": "right",
+ "remove_space": false,
+ "split_special_tokens": false,
+ "tokenizer_class": "ChatGLM4Tokenizer"
+}
diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/train_results.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/train_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..dd09bae953c769d37957d9d6bb1d08e9bfb9b418
--- /dev/null
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@@ -0,0 +1,8 @@
+{
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+}
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diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/trainer_log.jsonl b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/trainer_log.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..d2b26a6b76ced5ddc077eb76d112479222968684
--- /dev/null
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+{"current_steps": 10, "total_steps": 700, "loss": 4.0232, "learning_rate": 1.4285714285714285e-05, "epoch": 0.05685856432125089, "percentage": 1.43, "elapsed_time": "0:02:54", "remaining_time": "3:20:54", "throughput": "0.00", "total_tokens": 0}
+{"current_steps": 20, "total_steps": 700, "loss": 0.2937, "learning_rate": 2.857142857142857e-05, "epoch": 0.11371712864250177, "percentage": 2.86, "elapsed_time": "0:05:49", "remaining_time": "3:18:06", "throughput": "0.00", "total_tokens": 0}
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+{"current_steps": 40, "total_steps": 700, "loss": 0.2515, "learning_rate": 5.714285714285714e-05, "epoch": 0.22743425728500355, "percentage": 5.71, "elapsed_time": "0:11:40", "remaining_time": "3:12:32", "throughput": "0.00", "total_tokens": 0}
+{"current_steps": 50, "total_steps": 700, "loss": 0.2307, "learning_rate": 7.142857142857143e-05, "epoch": 0.28429282160625446, "percentage": 7.14, "elapsed_time": "0:14:35", "remaining_time": "3:09:41", "throughput": "0.00", "total_tokens": 0}
+{"current_steps": 60, "total_steps": 700, "loss": 0.2424, "learning_rate": 8.571428571428571e-05, "epoch": 0.3411513859275053, "percentage": 8.57, "elapsed_time": "0:17:30", "remaining_time": "3:06:49", "throughput": "0.00", "total_tokens": 0}
+{"current_steps": 70, "total_steps": 700, "loss": 0.2341, "learning_rate": 0.0001, "epoch": 0.39800995024875624, "percentage": 10.0, "elapsed_time": "0:20:25", "remaining_time": "3:03:50", "throughput": "0.00", "total_tokens": 0}
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+{"current_steps": 90, "total_steps": 700, "loss": 0.2169, "learning_rate": 9.975153876827008e-05, "epoch": 0.511727078891258, "percentage": 12.86, "elapsed_time": "0:26:16", "remaining_time": "2:58:06", "throughput": "0.00", "total_tokens": 0}
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+{"current_steps": 110, "total_steps": 700, "loss": 0.217, "learning_rate": 9.900862439242719e-05, "epoch": 0.6254442075337597, "percentage": 15.71, "elapsed_time": "0:32:06", "remaining_time": "2:52:14", "throughput": "0.00", "total_tokens": 0}
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+{"current_steps": 140, "total_steps": 700, "loss": 3.7001, "learning_rate": 9.698463103929542e-05, "epoch": 0.7960199004975125, "percentage": 20.0, "elapsed_time": "0:40:52", "remaining_time": "2:43:31", "throughput": "0.00", "total_tokens": 0}
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+{"current_steps": 160, "total_steps": 700, "loss": 1.0417, "learning_rate": 9.504844339512095e-05, "epoch": 0.9097370291400142, "percentage": 22.86, "elapsed_time": "0:46:42", "remaining_time": "2:37:39", "throughput": "0.00", "total_tokens": 0}
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+{"current_steps": 20, "total_steps": 700, "loss": 0.2985, "learning_rate": 2.857142857142857e-05, "epoch": 0.11371712864250177, "percentage": 2.86, "elapsed_time": "0:14:59", "remaining_time": "8:29:29", "throughput": "0.00", "total_tokens": 0}
+{"current_steps": 30, "total_steps": 700, "loss": 0.2706, "learning_rate": 4.2857142857142856e-05, "epoch": 0.17057569296375266, "percentage": 4.29, "elapsed_time": "0:22:30", "remaining_time": "8:22:39", "throughput": "0.00", "total_tokens": 0}
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+{"current_steps": 130, "total_steps": 700, "loss": 0.2104, "learning_rate": 9.777864028930705e-05, "epoch": 0.7391613361762616, "percentage": 18.57, "elapsed_time": "1:37:34", "remaining_time": "7:07:50", "throughput": "0.00", "total_tokens": 0}
+{"current_steps": 140, "total_steps": 700, "loss": 0.2199, "learning_rate": 9.698463103929542e-05, "epoch": 0.7960199004975125, "percentage": 20.0, "elapsed_time": "1:45:06", "remaining_time": "7:00:27", "throughput": "0.00", "total_tokens": 0}
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+{"current_steps": 220, "total_steps": 700, "loss": 0.1731, "learning_rate": 8.665259359149132e-05, "epoch": 1.2508884150675195, "percentage": 31.43, "elapsed_time": "2:49:06", "remaining_time": "6:08:57", "throughput": "0.00", "total_tokens": 0}
+{"current_steps": 230, "total_steps": 700, "loss": 0.1993, "learning_rate": 8.491184090430364e-05, "epoch": 1.3077469793887704, "percentage": 32.86, "elapsed_time": "2:56:37", "remaining_time": "6:00:55", "throughput": "0.00", "total_tokens": 0}
+{"current_steps": 240, "total_steps": 700, "loss": 0.1954, "learning_rate": 8.308429187984297e-05, "epoch": 1.3646055437100213, "percentage": 34.29, "elapsed_time": "3:04:08", "remaining_time": "5:52:55", "throughput": "0.00", "total_tokens": 0}
+{"current_steps": 250, "total_steps": 700, "loss": 0.189, "learning_rate": 8.117449009293668e-05, "epoch": 1.4214641080312722, "percentage": 35.71, "elapsed_time": "3:11:39", "remaining_time": "5:44:58", "throughput": "0.00", "total_tokens": 0}
+{"current_steps": 260, "total_steps": 700, "loss": 0.1714, "learning_rate": 7.91871836117395e-05, "epoch": 1.4783226723525231, "percentage": 37.14, "elapsed_time": "3:19:07", "remaining_time": "5:36:59", "throughput": "0.00", "total_tokens": 0}
+{"current_steps": 270, "total_steps": 700, "loss": 0.2088, "learning_rate": 7.712731319328798e-05, "epoch": 1.535181236673774, "percentage": 38.57, "elapsed_time": "3:26:38", "remaining_time": "5:29:05", "throughput": "0.00", "total_tokens": 0}
+{"current_steps": 280, "total_steps": 700, "loss": 0.1734, "learning_rate": 7.500000000000001e-05, "epoch": 1.5920398009950247, "percentage": 40.0, "elapsed_time": "3:34:08", "remaining_time": "5:21:12", "throughput": "0.00", "total_tokens": 0}
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diff --git a/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/trainer_state.json b/llama-factory/saves/glm-4-9b/lora/sft_bf16_p2_full/trainer_state.json
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