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ac_prev=host ;; -host=* | --host=* | --hos=* | --ho=*) host="$ac_optarg" ;; -includedir | --includedir | --includedi | --included | --include \ | --includ | --inclu | --incl | --inc) ac_prev=includedir ;; -includedir=* | --includedir=* | --includedi=* | --included=* | --include=* \ | --includ=* | --inclu=* | --incl=* | --inc=*) includedir="$ac_optarg" ;; -infodir | --infodir | --infodi | --infod | --info | --inf) ac_prev=infodir ;; -infodir=* | --infodir=* | --infodi=* | --infod=* | --info=* | --inf=*) infodir="$ac_optarg" ;; -libdir | --libdir | --libdi | --libd) ac_prev=libdir ;; -libdir=* | --libdir=* | --libdi=* | --libd=*) libdir="$ac_optarg" ;; -libexecdir| --shared=* | --share=* | --shar=* \ | --sha=* | --sh=*) sharedstatedir="$ac_optarg" ;; -site | --site | --sit) ac_prev=site ;; -site=* | --site=* | --sit=*) site="$ac_optarg" ;; -srcdir | --srcdir | --srcdi | --srcd | --src | --sr) ac_prev=srcdir ;; -srcdir=* | --srcdir=* | --srcdi=* | --srcd=* | --src=* | --sr=*) srcdir="$ac_optarg" ;; -sysconfdir | --sysconfdir | --sysconfdi | --sysconfd | --sysconf \ | --syscon | --sysco | --sysc | --sys | --sy) ac_prev=sysconfdir ;; -sysconfdir=* | --sysconfdir=* | --sysconfdi=* | --sysconfd=* | --sysconf=* \ | --syscon=* | --sysco=* | --sysc=* | --sys=* | --sy=*) sysconfdir="$ac_optarg" ;;
{ "pile_set_name": [ "Github", "Github" ] }
12,533,257
"UNKNOWN (746)", "UNKNOWN (747)", "UNKNOWN (748)", "UNKNOWN (749)", "UNKNOWN (750)", "UNKNOWN (751)", "UNKNOWN (752)", "UNKNOWN (753)", "UNKNOWN (754)", "UNKNOWN (755)", "UNKNOWN (756)", "UNKNOWN (757)", "UNKNOWN (758)", "UNKNOWN (759)", "UNKNOWN (760)", "UNKNOWN (761)", "UNKNOWN (762)", "UNKNOWN (763)", "UNKNOWN (764)", "UNKNOWN (765)", "UNKNOWN (766)", "UNKNOWN (767)", "WM_CUT", "WM_COPY", "WM_PASTE", "WM_CLEAR", "WM_DWMSENDICONICTHUMBNAIL", "UNKNOWN (804)", "UNKNOWN (805)", "WM_DWMSENDICONICLIVEPREVIEWBITMAP", "UNKNOWN (807)", "UNKNOWN (808)", "UNKNOWN (809)", "UNKNOWN (810)", "UNKNOWN (811)", "UNKNOWN (812)", "UNKNOWN (813)", "UNKNOWN (814)", "UNKNOWN (815)", "UNKNOWN (816)", "UNKNOWN (817)", "UNKNOWN (818)", "UNKNOWN (819)", "UNKNOWN (820)", "UNKNOWN (821)", "UNKNOWN (822)", "UNKNOWN (823)", "UNKNOWN (824)", "UNKNOWN (825)", "UNKNOWN (826)", "UNKNOWN (827)", "UNKNOWN (828)",
{ "pile_set_name": [ "Github", "Github" ] }
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more flooding. Levels at another nearby reservoir, Barker, are increasing as well and its spillway may overtop soon, Corps officials say. And in a cruel paradox, the city also has to worry about having enough water. Houston’s Northeast Water Purification Plant, one of three plants that supply water to the city, is flooded. While the system is still working, even with much of its equipment underwater, city officials are worried about their ability to keep it running. Houston’s downtown convention center had filled with evacuees. Thousands of people gathered on green cots under a constellation of fluorescent lights in the George R. Brown Convention Center, the Houston area’s largest shelter. The venue, where the city at first talked of housing 5,000 people, had more than 9,000 by Tuesday, Mayor Turner said. The placedefaultsummaryid 1131946680 classes[].id 1131946680 classes[].name "default" classes[].fields[].name "abyte" classes[].fields[].type "byte" classes[].fields[].name "along" classes[].fields[].type "int64" classes[].fields[].name "abool" classes[].fields[].type "bool" classes[].fields[].name "ashortfloat" classes[].fields[].type "float16" classes[].fields[].name "tagfield" classes[].fields[].type "jsonstring" classes[].fields[].name "stringmapfield" classes[].fields[].type "jsonstring" classes[].fields[].name "album0" classes[].fields[].type "jsonstring" classes[].fields[].name "album1" classes[].fields[].type "jsonstring" classes[].fields[].name "rankfeatures" classes[].fields[].type "featuredata" classes[].fields[].name "summaryfeatures" classes[].fields[].type "featuredata" classes[].fields[].name "documentid" classes[].fields[].type "longstring" classes[].id 1027812395 classes[].name "attributeprefetch" classes[].fields[].name "other" classes[].fields[].type "int64" classes[].fields[].name "abyte" classes[].fields[].type "byte" classes[].fields[].name "along" classes[].fields[].type "int64" classes[].fields[].name "abool" classes[].fields[].type "bool" classes[].fields[].name "ashortfloat" classes[].fields[].type "float16" classes[].fields[].name "juletre" classes[].fields[].type "int64" classes[].fields[].name "rankfeatures" classes[].fields[].type "featuredata" classes[].fields[].name "summaryfeatures" classes[].fields[].type "featuredata"
{ "pile_set_name": [ "Pile-CC", "Github" ] }
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ns:film.film.edited_by ?x0 .\nM1 ns:film.film.executive_produced_by ?x0 .\nM1 ns:film.film.produced_by|ns:film.film.production_companies ?x0 .\nM1 ns:film.film.written_by ?x0 .\nM2 ns:film.film.directed_by ?x0 .\nM2 ns:film.film.edited_by ?x0 .\nM2 ns:film.film.executive_produced_by ?x0 .\nM2 ns:film.film.produced_by|ns:film.film.production_companies ?x0 .\nM2 ns:film.film.written_by ?x0\n}", "SELECT count(*) WHERE {\n?x0 a ns:film.film .\nM1 ns:film.director.film ?x0 .\nM1 ns:film.editor.film ?x0 .\nM1 ns:film.producer.films_executive_produced ?x0 .\nM1 ns:film.producer.film|ns:film.production_company.films ?x0 .\nM1 ns:film.writer.film ?x0\n}", "SELECT count(*) WHERE {\n?x0 a ns:film.film .\nM1 ns:film.director.film ?x0 .\nM1 ns:film.editor.film ?x0 .\nM1 ns:film.producer.films_executive_produced ?x0 .\nM1 ns:film.producer.film|ns:film.production_company.films ?x0 .\nM1 ns:film.writer.film ?x0 .\nM2 ns:film.director.film ?x0 .\nM2 ns:film.editor.film ?x0 .\nM2 ns:film.producer.films_executive_produced ?x0 .\nM2 ns:film.producer.film|ns:film.production_company.films ?x0 .\nM2 ns:film.writer.film ?x0\n}", "SELECT count(*) WHERE {\n?x0 a ns:film.producer .\nM1 ns:film.film.directed_by ?x0 .\nM1 ns:film.film.edited_by ?x0 .\nM1 ns:film.film.executive_produced_by ?x0 .\nM1 ns:film.film.produced_by|ns:film.film.production_companies ?x0.\nM1 ns:film.film.written_by ?x0 .\nM2 ns:film.film.directed_by ?x0 .\nM2 ns:film.film.edited_by ?x0 .\nM2 ns:film.film.executive_produced_by ?x0 .\nM2 ns:film.film.produced_by|ns:film.film.production_companies ?x0 .\nM2 ns:film.film.written_by ?x0\n}", "SELECT count(*) WHERE {\n?x0 a ns:film.writer .\nM1 ns:film.film.directed_by ?x0 .\nM1 ns:film.film.edited_by ?x0 .\nM1 ns:film.film.executive_produced_by ?x0 .\nM1 ns:film.film.produced_by|ns:film.film.production_companies ?x0 .\nM1 ns:film.film.written_by ?x0 .\nM2 ns:film.film.directed_by ?x0 .\nM2 ns:film.film.edited_by ?x0 .\nM2 ns:film.film.executive_produced_by ?x0 .\nM2 ns:film.film.produced_by|ns:film.film.production_companies ?x0 .\nM2 ns:film.film.written_by ?x0\n}", "SELECT count(*) WHERE {\n?x0 a ns:people.person .\nM1 ns:film.film.directed_by ?x0 .\nM1 ns:film.film.edited_by ?x0 .\nM1 ns:film.film.executive_produced_by ?x0 .\nM1 ns:film.film.produced_by|ns:film.film.production_companies ?x0 .\nM1 ns:film.film.written_by ?x0 .\nM2 ns:film.film.directed_by ?x0 .\nM2 ns:film.film.edited_by ?x0 .\nM2 ns:film.film.executive_produced_by ?x0 .\nM2 ns:film.film.produced_by|ns:film.film.production_companies ?x0 .\nM2 ns:film.film.written_by ?x0\n}" ] }, {
{ "pile_set_name": [ "Github", "Github" ] }
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"UNKNOWN (881)", "UNKNOWN (882)", "UNKNOWN (883)", "UNKNOWN (884)", "UNKNOWN (885)", "UNKNOWN (886)", "UNKNOWN (887)", "UNKNOWN (888)", "UNKNOWN (889)", "UNKNOWN (890)", "UNKNOWN (891)", "UNKNOWN (892)", "UNKNOWN (893)", "UNKNOWN (894)", "WM_AFXLAST", "WM_PENWINFIRST", "UNKNOWN (897)", "UNKNOWN (898)", "UNKNOWN (899)", "UNKNOWN (900)", "UNKNOWN (901)", "UNKNOWN (902)", "UNKNOWN (903)", "UNKNOWN (904)", "UNKNOWN (905)", "UNKNOWN (906)", "UNKNOWN (907)", "UNKNOWN (908)", "UNKNOWN (909)", "UNKNOWN (910)", "WM_PENWINLAST", "UNKNOWN (912)", "UNKNOWN (913)", "UNKNOWN (914)", "UNKNOWN (915)", "UNKNOWN (916)", "UNKNOWN (917)", "UNKNOWN (918)", "UNKNOWN (919)", "UNKNOWN (920)", "UNKNOWN (921)", "UNKNOWN (922)", "UNKNOWN (923)", "UNKNOWN (924)", "UNKNOWN (925)", "UNKNOWN (926)", "UNKNOWN (927)", "UNKNOWN (928)", "UNKNOWN (929)", "UNKNOWN (930)", "UNKNOWN (931)", "UNKNOWN
{ "pile_set_name": [ "Github", "Github" ] }
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chr(195).chr(170) => 'e', chr(195).chr(171) => 'e', chr(195).chr(172) => 'i', chr(195).chr(173) => 'i', chr(195).chr(174) => 'i', chr(195).chr(175) => 'i', chr(195).chr(177) => 'n', chr(195).chr(178) => 'o', chr(195).chr(179) => 'o', chr(195).chr(180) => 'o', chr(195).chr(181) => 'o', chr(195).chr(182) => 'o', chr(195).chr(182) => 'o', chr(195).chr(185) => 'u', chr(195).chr(186) => 'u', chr(195).chr(187) => 'u', chr(195).chr(188) => 'u', chr(195).chr(189) => 'y', chr(195).chr(191) => 'y', // Decompositions for Latin Extended-A chr(196).chr(128) => 'A', chr(196).chr(129) => 'a', chr(196).chr(130) => 'A', chr(196).chr(131) => 'a', chr(196).chr(132) => 'A', chr(196).chr(133) => 'a', chr(196).chr(134) => 'C', chr(196).chr(135) => 'c', chr(196).chr(136) => 'C', chr(196).chr(137) => 'c', chr(196).chr(138) => 'C', chr(196).chr(139) => 'c', chr(196).chr(140) => 'C', chr(196).chr(141) => 'c', chr(196).chr(142) => 'D', chr(196).chr(143) => 'd', chr(196).chr(144) => 'D', chr(196).chr(145) => 'd',
{ "pile_set_name": [ "StackExchange", "StackExchange" ] }
9,284,626
found, but has the entry point glBindTextureUnitParameterEXT GL_EXT_vertex_shader was not found, but has the entry point glBindVertexShaderEXT GL_EXT_vertex_shader was not found, but has the entry point glDeleteVertexShaderEXT GL_EXT_vertex_shader was not found, but has the entry point glDisableVariantClientStateEXT GL_EXT_vertex_shader was not found, but has the entry point glEnableVariantClientStateEXT GL_EXT_vertex_shader was not found, but has the entry point glEndVertexShaderEXT GL_EXT_vertex_shader was not found, but has the entry point glExtractComponentEXT GL_EXT_vertex_shader was not found, but has the entry point glGenSymbolsEXT GL_EXT_vertex_shader was not found, but has the entry point glGenVertexShadersEXT GL_EXT_vertex_shader was not found, but has the entry point glGetInvariantBooleanvEXT GL_EXT_vertex_shader was not found, but has the entry point glGetInvariantFloatvEXT GL_EXT_vertex_shader was not found, but has the entry point glGetInvariantIntegervEXT GL_EXT_vertex_shader was not found, but has the entry point glGetLocalConstantBooleanvEXT GL_EXT_vertex_shader was not found, but has the entry point glGetLocalConstantFloatvEXT GL_EXT_vertex_shader was not found, buthas the entry point glGetLocalConstantIntegervEXT GL_EXT_vertex_shader was not found, but has the entry point glGetVariantBooleanvEXT GL_EXT_vertex_shader was not found, but has the entry point glGetVariantFloatvEXT GL_EXT_vertex_shader was not found, but has the entry point glGetVariantIntegervEXT GL_EXT_vertex_shader was not found, but has the entry point glGetVariantPointervEXT GL_EXT_vertex_shader was not found, but has the entry point glInsertComponentEXT GL_EXT_vertex_shader was not found, but has the entry point glIsVariantEnabledEXT GL_EXT_vertex_shader was not found, but has the entry point glSetInvariantEXT GL_EXT_vertex_shader was not found, but has the entry point glSetLocalConstantEXT GL_EXT_vertex_shader was not found, but has the entry point glShaderOp1EXT GL_EXT_vertex_shader was not found, but has the entry point glShaderOp2EXT GL_EXT_vertex_shader was not found, but has the entry point glShaderOp3EXT GL_EXT_vertex_shader was not found, but has the entry point glSwizzleEXT GL_EXT_vertex_shader was not found, but has the entry point glVariantPointerEXT GL_EXT_vertex_shader was not found, but has the
{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
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$chars = array( // Decompositions for Latin-1 Supplement chr(195).chr(128) => 'A', chr(195).chr(129) => 'A', chr(195).chr(130) => 'A', chr(195).chr(131) => 'A', chr(195).chr(132) => 'A', chr(195).chr(133) => 'A', chr(195).chr(135) => 'C', chr(195).chr(136) => 'E', chr(195).chr(137) => 'E', chr(195).chr(138) => 'E', chr(195).chr(139) => 'E', chr(195).chr(140) => 'I', chr(195).chr(141) => 'I', chr(195).chr(142) => 'I', chr(195).chr(143) => 'I', chr(195).chr(145) => 'N', chr(195).chr(146) => 'O', chr(195).chr(147) => 'O', chr(195).chr(148) => 'O', chr(195).chr(149) => 'O', chr(195).chr(150) => 'O', chr(195).chr(153) => 'U', chr(195).chr(154) => 'U', chr(195).chr(155) => 'U', chr(195).chr(156) => 'U', chr(195).chr(157) => 'Y', chr(195).chr(159) => 's', chr(195).chr(160) => 'a', chr(195).chr(161) => 'a', chr(195).chr(162) => 'a', chr(195).chr(163) => 'a', chr(195).chr(164) => 'a', chr(195).chr(165) => 'a', chr(195).chr(167) => 'c', chr(195).chr(168) => 'e', chr(195).chr(169) => 'e',
{ "pile_set_name": [ "StackExchange", "StackExchange" ] }
9,284,624
chars also match following alternatives. | UnicodeDigit | UnicodeConnectorPunctuation ; fragment UnicodeLetter // Any character in the Unicode categories "Uppercase letter (Lu)", : '\u0041'..'\u005A' // "Lowercase letter (Ll)", "Titlecase letter (Lt)", | '\u0061'..'\u007A' // "Modifier letter (Lm)", "Other letter (Lo)", or "Letter number (Nl)". | '\u00AA' | '\u00B5' | '\u00BA' | '\u00C0'..'\u00D6' | '\u00D8'..'\u00F6' | '\u00F8'..'\u021F' | '\u0222'..'\u0233' | '\u0250'..'\u02AD' | '\u02B0'..'\u02B8' | '\u02BB'..'\u02C1' | '\u02D0'..'\u02D1' | '\u02E0'..'\u02E4' | '\u02EE' | '\u037A' | '\u0386' | '\u0388'..'\u038A' | '\u038C' | '\u038E'..'\u03A1' | '\u03A3'..'\u03CE' | '\u03D0'..'\u03D7' | '\u03DA'..'\u03F3' | '\u0400'..'\u0481' | '\u048C'..'\u04C4' | '\u04C7'..'\u04C8' | '\u04CB'..'\u04CC' | '\u04D0'..'\u04F5' | '\u04F8'..'\u04F9' | '\u0531'..'\u0556' | '\u0559' | '\u0561'..'\u0587' | '\u05D0'..'\u05EA' | '\u05F0'..'\u05F2' | '\u0621'..'\u063A' | '\u0640'..'\u064A' | '\u0671'..'\u06D3' | '\u06D5' | '\u06E5'..'\u06E6' | '\u06FA'..'\u06FC' | '\u0710' | '\u0712'..'\u072C' | '\u0780'..'\u07A5' | '\u0905'..'\u0939' | '\u093D' | '\u0950' | '\u0958'..'\u0961' | '\u0985'..'\u098C' | '\u098F'..'\u0990' | '\u0993'..'\u09A8' | '\u09AA'..'\u09B0' | '\u09B2' | '\u09B6'..'\u09B9' | '\u09DC'..'\u09DD' | '\u09DF'..'\u09E1' | '\u09F0'..'\u09F1' | '\u0A05'..'\u0A0A' | '\u0A0F'..'\u0A10' | '\u0A13'..'\u0A28' | '\u0A2A'..'\u0A30' | '\u0A32'..'\u0A33' | '\u0A35'..'\u0A36' | '\u0A38'..'\u0A39' | '\u0A59'..'\u0A5C' | '\u0A5E' | '\u0A72'..'\u0A74' | '\u0A85'..'\u0A8B' | '\u0A8D' | '\u0A8F'..'\u0A91' | '\u0A93'..'\u0AA8' | '\u0AAA'..'\u0AB0' | '\u0AB2'..'\u0AB3' | '\u0AB5'..'\u0AB9' | '\u0ABD' | '\u0AD0' | '\u0AE0' | '\u0B05'..'\u0B0C' | '\u0B0F'..'\u0B10' | '\u0B13'..'\u0B28' | '\u0B2A'..'\u0B30' | '\u0B32'..'\u0B33' | '\u0B36'..'\u0B39' | '\u0B3D' | '\u0B5C'..'\u0B5D' | '\u0B5F'..'\u0B61' | '\u0B85'..'\u0B8A' |Anthony Weiner and his estranged wife Huma Abedin Source: AP/Press Association Images Updated: 22:10 WITH JUST 11 days to go until America votes, Hillary Clinton’s Republican rival Donald Trump has seized triumphantly on news that the FBI is investigating a newly discovered batch of emails linked to its inquiry into her use of a private email server. Campaigning in New Hampshire, Trump declared his Democratic opponent unfit for office as a jubilant crowd chanted: “Lock her up!” Clinton was on a flight when the news broke and made no mention of the FBI probe – which had been declared complete three months earlier – in her own campaign speech in Cedar Rapids, Iowa. FBI director James Comey dropped the bombshell in a letter to congressional committees investigating allegations that Clinton put US secrets
{ "pile_set_name": [ "Github", "OpenWebText2" ] }
52,796,171
Spain: Biological Meshes Market, By Type, 2016�2023 (USD Million) Table 207 Spain: Bone-Graft Substitutes Market, By Type, 2016�2023 (USD Million) Table 208 Spain: Biosurgery Market, By Application, 2016�2023 (USD Million) Table 209 RoE: Biosurgery Market, By Product, 2016�2023 (USD Million) Table 210 RoE: Surgical Sealants and Adhesives Market, By Type, 2016�2023 (USD Million) Table 211 RoE: Natural/Biological Sealants Market, By Type, 2016�2023 (USD Million) Table 212 RoE: Natural/Biological Sealants Market, By Origin, 2016�2023 (USD Million) Table 213 RoE: Synthetic and Semi-Synthetic Sealants Market, By Type, 2016�2023 (USD Million) Table 214 RoE: Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 215 RoE: Natural Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 216 RoE: Synthetic Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 217 RoE: Soft-Tissue Attachment Market, By Type, 2016�2023 (USD Million) Table 218 RoE: Biological Meshes Market,By Type, 2016�2023 (USD Million) Table 219 RoE: Bone-Graft Substitutes Market, By Type, 2016�2023 (USD Million) Table 220 RoE: Biosurgery Market, By Application, 2016�2023 (USD Million) Table 221 APAC: Biosurgery Market, By Country, 2016�2023 (USD Million) Table 222 APAC: Biosurgery Market, By Product, 2016�2023 (USD Million) Table 223 APAC: Surgical Sealants and Adhesives Market, By Type, 2016�2023 (USD Million) Table 224 APAC: Natural/Biological Sealants Market, By Type, 2016�2023 (USD Million) Table 225 APAC: Natural/Biological Sealants Market, By Origin, 2016�2023 (USD Million) Table 226 APAC: Synthetic and Semi-Synthetic Sealants Market, By Type, 2016�2023 (USD Million) Table 227 APAC: Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 228 APAC: Natural Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 229 APAC: Synthetic Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 230 APAC: Soft-Tissue Attachment Market, By Type, 2016�2023 (USD Million) Table
{ "pile_set_name": [ "OpenWebText2", "OpenWebText2" ] }
57,475,883
"UNKNOWN (476)", "UNKNOWN (477)", "UNKNOWN (478)", "UNKNOWN (479)", "UNKNOWN (480)", "UNKNOWN (481)", "UNKNOWN (482)", "UNKNOWN (483)", "UNKNOWN (484)", "UNKNOWN (485)", "UNKNOWN (486)", "UNKNOWN (487)", "UNKNOWN (488)", "UNKNOWN (489)", "UNKNOWN (490)", "UNKNOWN (491)", "UNKNOWN (492)", "UNKNOWN (493)", "UNKNOWN (494)", "UNKNOWN (495)", "UNKNOWN (496)", "UNKNOWN (497)", "UNKNOWN (498)", "UNKNOWN (499)", "UNKNOWN (500)", "UNKNOWN(501)", "UNKNOWN (502)", "UNKNOWN (503)", "UNKNOWN (504)", "UNKNOWN (505)", "UNKNOWN (506)", "UNKNOWN (507)", "UNKNOWN (508)", "UNKNOWN (509)", "UNKNOWN (510)", "UNKNOWN (511)", "WM_MOUSEMOVE", "WM_LBUTTONDOWN", "WM_LBUTTONUP", "WM_LBUTTONDBLCLK", "WM_RBUTTONDOWN", "WM_RBUTTONUP", "WM_RBUTTONDBLCLK", "WM_MBUTTONDOWN", "WM_MBUTTONUP", "WM_MOUSELAST", "WM_MOUSEWHEEL", "WM_XBUTTONDOWN", "WM_XBUTTONUP", "UNKNOWN (525)", "UNKNOWN (526)", "UNKNOWN (527)", "WM_PARENTNOTIFY", "WM_ENTERMENULOOP",
{ "pile_set_name": [ "Github", "Github" ] }
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{ "highRank": "4", "label": "SELECT count(*) WHERE {\n?x0 a ns:film.actor .\nM1 ns:film.film.directed_by ?x0 .\nM1 ns:film.film.edited_by ?x0 .\nM1 ns:film.film.executive_produced_by ?x0 .\nM1 ns:film.film.produced_by|ns:film.film.production_companies ?x0 .\nM1 ns:film.film.written_by ?x0 .\nM2 ns:film.film.directed_by ?x0 .\nM2 ns:film.film.edited_by ?x0 .\nM2 ns:film.film.executive_produced_by ?x0 .\nM2 ns:film.film.produced_by|ns:film.film.production_companies ?x0 .\nM2 ns:film.film.written_by ?x0\n}", "lowRank": "4", "label": "SELECT count(*) WHERE {\n?x0 a ns:film.film .\nM1 ns:film.director.film ?x0 .\nM1 ns:film.editor.film ?x0 .\nM1 ns:film.producer.films_executive_produced ?x0 .\nM1 ns:film.producer.film|ns:film.production_company.films ?x0 .\nM1 ns:film.writer.film ?x0 .\nM2 ns:film.director.film ?x0 .\nM2 ns:film.editor.film ?x0 .\nM2 ns:film.producer.films_executive_produced ?x0 .\nM2 ns:film.producer.film|ns:film.production_company.films ?x0 .\nM2 ns:film.writer.film ?x0\n}", "lowRank": "7", "sampleCount": 33.0 }, {
{ "pile_set_name": [ "Github", "Github" ] }
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$%CONSTANT-token, "private" => $%PRIVATE-token, "linker_private" => $%LINKER_PRIVATE-token, "linker_private_weak" => $%LINKER_PRIVATE_WEAK-token, "linker_private_weak_def_auto" => $%LINKER_PRIVATE_WEAK_DEF_AUTO-token, "internal" => $%INTERNAL-token, "available_externally" => $%AVAILABLE_EXTERNALLY-token, "linkonce" => $%LINKONCE-token, "linkonce_odr" => $%LINKONCE_ODR-token, "weak" => $%WEAK-token, "weak_odr" => $%WEAK_ODR-token, "appending" => $%APPENDING-token, "dllimport" => $%DLLIMPORT-token, "dllexport" => $%DLLEXPORT-token, "common" => $%COMMON-token, "default" => $%DEFAULT-token, "hidden" => $%HIDDEN-token, "protected" => $%PROTECTED-token, "extern_weak" => $%EXTERN_WEAK-token, "external" => $%EXTERNAL-token, "thread_local" => $%THREAD_LOCAL-token, "localdynamic" => $%LOCALDYNAMIC-token, "initialexec" => $%INITIALEXEC-token, "localexec" => $%LOCALEXEC-token, "unnamed_addr" => $%UNNAMED_ADDR-token, "local_unnamed_addr" => $%LOCAL_UNNAMED_ADDR-token, "zeroinitializer" => $%ZEROINITIALIZER-token, "undef" => $%UNDEF-token, "null" => $%NULL-token, "to" => $%TO-token, "tail" => $%TAIL-token, "target" => $%TARGET-token, "triple" => $%TRIPLE-token, "source_filename" => $%SOURCE_FILENAME-token, "datalayout" => $%DATALAYOUT-token, "volatile" => $%VOLATILE-token, "atomic" => $%ATOMIC-token,
{ "pile_set_name": [ "Github", "Github" ] }
5,205,507
"UNKNOWN (322)", "UNKNOWN (323)", "UNKNOWN (324)", "UNKNOWN (325)", "UNKNOWN (326)", "UNKNOWN (327)", "UNKNOWN (328)", "UNKNOWN (329)", "UNKNOWN (330)", "UNKNOWN (331)", "UNKNOWN (332)", "UNKNOWN (333)", "UNKNOWN (334)", "UNKNOWN (335)", "UNKNOWN (336)", "UNKNOWN (337)", "UNKNOWN (338)", "UNKNOWN (339)", "UNKNOWN (340)", "UNKNOWN (341)", "UNKNOWN (342)", "UNKNOWN (343)", "UNKNOWN (344)", "UNKNOWN (345)", "UNKNOWN (346)", "UNKNOWN (347)", "UNKNOWN (348)", "UNKNOWN (349)", "UNKNOWN (350)", "UNKNOWN (351)", "UNKNOWN (352)", "UNKNOWN (353)", "UNKNOWN (354)", "UNKNOWN (355)", "UNKNOWN (356)", "UNKNOWN (357)", "UNKNOWN (358)", "UNKNOWN (359)", "UNKNOWN (360)", "UNKNOWN (361)", "UNKNOWN (362)", "UNKNOWN (363)", "UNKNOWN (364)", "UNKNOWN (365)", "UNKNOWN (366)", "UNKNOWN (367)", "UNKNOWN (368)", "UNKNOWN (369)", "UNKNOWN (370)", "UNKNOWN (371)", "UNKNOWN (372)", "UNKNOWN
{ "pile_set_name": [ "Github", "Github" ] }
44,433,710
"UNKNOWN (213)", "UNKNOWN (214)", "UNKNOWN (215)", "UNKNOWN (216)", "UNKNOWN (217)", "UNKNOWN (218)", "UNKNOWN (219)", "UNKNOWN (220)", "UNKNOWN (221)", "UNKNOWN (222)", "UNKNOWN (223)", "UNKNOWN (224)", "UNKNOWN (225)", "UNKNOWN (226)", "UNKNOWN (227)", "UNKNOWN (228)", "UNKNOWN (229)", "UNKNOWN (230)", "UNKNOWN (231)", "UNKNOWN (232)", "UNKNOWN (233)", "UNKNOWN (234)", "UNKNOWN (235)", "UNKNOWN (236)", "UNKNOWN (237)", "UNKNOWN (238)", "UNKNOWN (239)", "UNKNOWN (240)", "UNKNOWN (241)", "UNKNOWN (242)", "UNKNOWN (243)", "UNKNOWN (244)", "UNKNOWN (245)", "UNKNOWN (246)", "UNKNOWN (247)", "UNKNOWN (248)", "UNKNOWN (249)", "UNKNOWN (250)", "UNKNOWN (251)", "UNKNOWN (252)", "UNKNOWN (253)", "UNKNOWN (254)", "WM_INPUT", "WM_KEYDOWN", "WM_KEYUP", "WM_CHAR", "WM_DEADCHAR", "WM_SYSKEYDOWN", "WM_SYSKEYUP", "WM_SYSCHAR", "WM_SYSDEADCHAR", "WM_KEYLAST", "UNKNOWN (265)",
{ "pile_set_name": [ "Github", "Github" ] }
44,433,706
Soft-Tissue Attachment Market, By Type, 2016�2023 (USD Million) Table 257 China: Biological Meshes Market, By Type, 2016�2023 (USD Million) Table 258 China: Bone-Graft Substitutes Market, By Type, 2016�2023 (USD Million) Table 259 China: Biosurgery Market, By Application, 2016�2023 (USD Million) Table 260 India: Key Macroindicators for the Biosurgery Market Table 261 India: Biosurgery Market, By Product, 2016�2023 (USD Million) Table 262 India: Surgical Sealants & Adhesives Market, By Type, 2016�2023 (USD Million) Table 263 India: Natural/Biological Sealants Market, By Type, 2016�2023 (USD Million) Table 264 India: Natural/Biological Sealants Market, By Origin, 2016�2023 (USD Million) Table 265 India: Synthetic & Semi-Synthetic Sealants Market, By Type, 2016�2023 (USD Million) Table 266 India: Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 267 India: Natural Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 268 India: Synthetic Adhesion Barriers Market, By Type, 2016�2023(USD Million) Table 269 India: Soft-Tissue Attachments Market, By Type, 2016�2023 (USD Million) Table 270 India: Biological Meshes Market, By Type, 2016�2023 (USD Million) Table 271 India: Bone-Graft Substitutes Market, By Type, 2016�2023 (USD Million) Table 272 India: Biosurgery Market, By Application, 2016�2023 (USD Million) Table 273 RoAPAC: Biosurgery Market, By Product, 2016�2023 (USD Million) Table 274 RoAPAC: Surgical Sealants & Adhesives Market, By Type, 2016�2023 (USD Million) Table 275 RoAPAC: Natural/Biological Sealants Market, By Type, 2016�2023 (USD Million) Table 276 RoAPAC: Natural/Biological Sealants Market, By Origin, 2016�2023 (USD Million) Table 277 RoAPAC: Synthetic & Semi-Synthetic Sealants Market, By Type, 2016�2023 (USD Million) Table 278 RoAPAC: Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 279 RoAPAC: Natural Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 280 RoAPAC: Synthetic Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 281 RoAPAC:
{ "pile_set_name": [ "OpenWebText2", "OpenWebText2" ] }
57,475,887
regex: '\\b(?:AddCharset|AddEncoding|AddHandler|AddInputFilter|AddLanguage|AddOutputFilter|AddType|DefaultLanguage|ModMimeUsePathInfo|MultiviewsMatch|RemoveCharset|RemoveEncoding|RemoveHandler|RemoveInputFilter|RemoveLanguage|RemoveOutputFilter|RemoveType|TypesConfig)\\b' }, { token: 'keyword.misc.apacheconf', regex: '\\b(?:ProtocolEcho|Example|AddModuleInfo|MimeMagicFile|CheckSpelling|ExtendedStatus|SuexecUserGroup|UserDir)\\b' }, { token: 'keyword.negotiation.apacheconf', regex: '\\b(?:CacheNegotiatedDocs|ForceLanguagePriority|LanguagePriority)\\b' }, { token: 'keyword.nw_ssl.apacheconf', regex: '\\b(?:NWSSLTrustedCerts|NWSSLUpgradeable|SecureListen)\\b' }, { token: 'keyword.proxy.apacheconf', regex: '\\b(?:AllowCONNECT|NoProxy|ProxyBadHeader|ProxyBlock|ProxyDomain|ProxyErrorOverride|ProxyFtpDirCharset|ProxyIOBufferSize|ProxyMaxForwards|ProxyPass|ProxyPassReverse|ProxyPreserveHost|ProxyReceiveBufferSize|ProxyRemote|ProxyRemoteMatch|ProxyRequests|ProxyTimeout|ProxyVia)\\b' }, { token: 'keyword.rewrite.apacheconf', regex: '\\b(?:RewriteBase|RewriteCond|RewriteEngine|RewriteLock|RewriteLog|RewriteLogLevel|RewriteMap|RewriteOptions|RewriteRule)\\b'}, { token: 'keyword.setenvif.apacheconf', regex: '\\b(?:BrowserMatch|BrowserMatchNoCase|SetEnvIf|SetEnvIfNoCase)\\b' }, { token: 'keyword.so.apacheconf', regex: '\\b(?:LoadFile|LoadModule)\\b' }, { token: 'keyword.ssl.apacheconf', regex: '\\b(?:SSLCACertificateFile|SSLCACertificatePath|SSLCARevocationFile|SSLCARevocationPath|SSLCertificateChainFile|SSLCertificateFile|SSLCertificateKeyFile|SSLCipherSuite|SSLEngine|SSLMutex|SSLOptions|SSLPassPhraseDialog|SSLProtocol|SSLProxyCACertificateFile|SSLProxyCACertificatePath|SSLProxyCARevocationFile|SSLProxyCARevocationPath|SSLProxyCipherSuite|SSLProxyEngine|SSLProxyMachineCertificateFile|SSLProxyMachineCertificatePath|SSLProxyProtocol|SSLProxyVerify|SSLProxyVerifyDepth|SSLRandomSeed|SSLRequire|SSLRequireSSL|SSLSessionCache|SSLSessionCacheTimeout|SSLUserName|SSLVerifyClient|SSLVerifyDepth)\\b' }, { token: 'keyword.usertrack.apacheconf', regex: '\\b(?:CookieDomain|CookieExpires|CookieName|CookieStyle|CookieTracking)\\b' }, { token: 'keyword.vhost_alias.apacheconf', regex: '\\b(?:VirtualDocumentRoot|VirtualDocumentRootIP|VirtualScriptAlias|VirtualScriptAliasIP)\\b' },
{ "pile_set_name": [ "Github", "Github" ] }
13,526,047
Hard | | 684 | [冗余连接](../../problems/redundant-connection) | [[树](../tree/README.md)] [[并查集](../union-find/README.md)] [[图](../graph/README.md)] | Medium | | 547 | [朋友圈](../../problems/friend-circles) | [[深度优先搜索](../depth-first-search/README.md)] [[并查集](../union-find/README.md)] | Medium | | 399 | [除法求值](../../problems/evaluate-division) | [[并查集](../union-find/README.md)] [[图](../graph/README.md)] | Medium | | 323 | [无向图中连通分量的数目](../../problems/number-of-connected-components-in-an-undirected-graph) 🔒 | [[深度优先搜索](../depth-first-search/README.md)] [[广度优先搜索](../breadth-first-search/README.md)] [[并查集](../union-find/README.md)] [[图](../graph/README.md)] | Medium | | 305 | [岛屿数量 II](../../problems/number-of-islands-ii) 🔒 | [[并查集](../union-find/README.md)] | Hard | | 261 | [以图判树](../../problems/graph-valid-tree) 🔒 | [[深度优先搜索](../depth-first-search/README.md)] [[广度优先搜索](../breadth-first-search/README.md)] [[并查集](../union-find/README.md)] [[图](../graph/README.md)] | Medium | | 200 | [岛屿数量](../../problems/number-of-islands) | [[深度优先搜索](../depth-first-search/README.md)] [[广度优先搜索](../breadth-first-search/README.md)] [[并查集](../union-find/README.md)] | Medium | | 130 | [被围绕的区域](../../problems/surrounded-regions) | [[深度优先搜索](../depth-first-search/README.md)] [[广度优先搜索](../breadth-first-search/README.md)] [[并查集](../union-find/README.md)] | Medium | | 128 | [最长连续序列](../../problems/longest-consecutive-sequence) | [[并查集](../union-find/README.md)] [[数组](../array/README.md)] | Hard | the automobile in which they were riding veered off the road, struck a guard rail and overturned. 4 The parties stipulated to the following: The incident occurred on February 11, 1969, at approximately 1:30 p. m. on Route 22, two miles west of Armagh, Pennsylvania, in Indiana County. At that time, the husband, who owned the 1968 Ford Torino automobile, was driving the car in a westerly direction. His wife was a passenger. In the area of the accident, U.S. Route 22 is a two-lane road, with travel in each direction and a painted, dotted line in the center. At the time of the accident, the weather was clear and the roadway was dry. 5 The initial complaint in this action encompassed two theories negligence and strict liability.
{ "pile_set_name": [ "Github", "FreeLaw" ] }
54,565,840
JOCKEYS ARE ALSO A MAIN ATTRACTION WITH MUCH DIFFERENT THAN THESE TWO IN THE JOCKEYS ARE ALSO A MAIN ATTRACTION WITH MUCH DIFFERENT THAN THESE TWO IN 1875 THE JOCKEYS ARE ALSO A MAIN ATTRACTION WITH MUCH DIFFERENT THAN THESE TWO IN 1875 FOR THE JOCKEYS ARE ALSO A MAIN ATTRACTION WITH MUCH DIFFERENT THAN THESE TWO IN 1875 FOR THE ATTRACTION WITH MUCH DIFFERENT THAN THESE TWO IN 1875 FOR THE ATTRACTION WITH MUCH DIFFERENT THAN THESE TWO IN 1875 FOR THE FIRST ATTRACTION WITH MUCH DIFFERENT THAN THESE TWO IN 1875 FOR THE FIRST RUNNING ATTRACTION WITH MUCH DIFFERENT THAN THESE TWO IN 1875 FOR THE FIRST RUNNING OF ATTRACTION WITH MUCH DIFFERENT THAN THESE TWO IN 1875 FOR THE FIRST RUNNING OF THE ATTRACTION WITH MUCH DIFFERENT THAN THESE TWO IN 1875 FOR THE FIRST RUNNING OF THE DERBY THAN THESE TWO IN 1875 FOR THE FIRST RUNNING OF THE DERBY THAN THESE TWO IN 1875FOR THE FIRST RUNNING OF THE DERBY AFRICAN-AMERICAN THAN THESE TWO IN 1875 FOR THE FIRST RUNNING OF THE DERBY AFRICAN-AMERICAN DOMINATED THAN THESE TWO IN 1875 FOR THE FIRST RUNNING OF THE DERBY AFRICAN-AMERICAN DOMINATED THE FIRST RUNNING OF THE DERBY AFRICAN-AMERICAN DOMINATED THE FIRST RUNNING OF THE DERBY AFRICAN-AMERICAN DOMINATED THE RACE FIRST RUNNING OF THE DERBY AFRICAN-AMERICAN DOMINATED THE RACE TRACK FIRST RUNNING OF THE DERBY AFRICAN-AMERICAN DOMINATED THE RACE TRACK 13 FIRST RUNNING OF THE DERBY AFRICAN-AMERICAN DOMINATED THE RACE TRACK 13 OF FIRST RUNNING OF THE DERBY AFRICAN-AMERICAN DOMINATED THE RACE TRACK 13 OF 15 FIRST RUNNING OF THE DERBY AFRICAN-AMERICAN DOMINATED THE RACE TRACK 13 OF 15 JOCKEYS FIRST RUNNING OF THE DERBY AFRICAN-AMERICAN DOMINATED THE RACE TRACK 13 OF 15 JOCKEYS WERE AFRICAN-AMERICAN DOMINATED THE RACE TRACK 13 OF 15 JOCKEYS WERE AFRICAN-AMERICAN DOMINATED THE RACE TRACK 13 OF 15 JOCKEYS WERE BLACK, AFRICAN-AMERICAN DOMINATED THE RACE TRACK 13 OF 15 JOCKEYS WERE BLACK, INCLUDING AFRICAN-AMERICAN DOMINATED THE RACE TRACK 13 OF
{ "pile_set_name": [ "YoutubeSubtitles", "YoutubeSubtitles" ] }
46,257,635
"UNKNOWN (105)", "UNKNOWN (106)", "UNKNOWN (107)", "UNKNOWN (108)", "UNKNOWN (109)", "UNKNOWN (110)", "UNKNOWN (111)", "UNKNOWN (112)", "UNKNOWN (113)", "UNKNOWN (114)", "UNKNOWN (115)", "UNKNOWN (116)", "UNKNOWN (117)", "UNKNOWN (118)", "UNKNOWN (119)", "UNKNOWN (120)", "UNKNOWN (121)", "UNKNOWN (122)", "WM_CONTEXTMENU", "WM_STYLECHANGING", "WM_STYLECHANGED", "WM_DISPLAYCHANGE", "WM_GETICON", "WM_SETICON", "WM_NCCREATE", "WM_NCDESTROY", "WM_NCCALCSIZE", "WM_NCHITTEST", "WM_NCPAINT", "WM_NCACTIVATE", "WM_GETDLGCODE", "WM_SYNCPAINT", "UNKNOWN (137)", "UNKNOWN (138)", "UNKNOWN (139)", "UNKNOWN (140)", "UNKNOWN (141)", "UNKNOWN (142)", "UNKNOWN (143)", "UNKNOWN (144)", "UNKNOWN (145)", "UNKNOWN (146)", "UNKNOWN (147)", "UNKNOWN (148)", "UNKNOWN (149)", "UNKNOWN (150)", "UNKNOWN (151)", "UNKNOWN (152)", "UNKNOWN (153)", "UNKNOWN (154)", "UNKNOWN (155)", "UNKNOWN (156)", "UNKNOWN (157)", "UNKNOWN (158)",
{ "pile_set_name": [ "Github", "Github" ] }
44,433,702
propertyUpdated( 17 , BLOCK , EXPRS ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , STATE ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , DSTATE ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , ODSTATE ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , RPAR ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , OPAR ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , EQUATIONS ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , SIM_DEP_UT ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , NZCROSS ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , NMODE ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , IPAR ): NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , COLOR ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , CONTEXT ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , PARENT_DIAGRAM ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , INPUTS ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , OUTPUTS ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , EVENT_INPUTS ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , EVENT_OUTPUTS ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , PARENT_BLOCK ) : NO_CHANGES Xcos info: objectCreated( 18 , BLOCK ) Xcos info: objectCloned( 3 , 18 , BLOCK ) Xcos debug: propertyUpdated( 18 , BLOCK , SIM_FUNCTION_API )
{ "pile_set_name": [ "Github", "Github" ] }
47,297,251
on the property list." `(put ',symb 'doctor-meaning ,val)) (doctor-put-meaning howdy 'howdy) (doctor-put-meaning hi 'howdy) (doctor-put-meaning greetings 'howdy) (doctor-put-meaning hello 'howdy) (doctor-put-meaning tops20 'mach) (doctor-put-meaning tops-20 'mach) (doctor-put-meaning tops 'mach) (doctor-put-meaning pdp11 'mach) (doctor-put-meaning computer 'mach) (doctor-put-meaning unix 'mach) (doctor-put-meaning machine 'mach) (doctor-put-meaning computers 'mach) (doctor-put-meaning machines 'mach) (doctor-put-meaning pdp11s 'mach) (doctor-put-meaning foo 'mach) (doctor-put-meaning foobar 'mach) (doctor-put-meaning multics 'mach) (doctor-put-meaning macsyma 'mach) (doctor-put-meaning teletype 'mach) (doctor-put-meaning la36 'mach) (doctor-put-meaning vt52 'mach) (doctor-put-meaning zork 'mach) (doctor-put-meaning trek 'mach) (doctor-put-meaning startrek 'mach) (doctor-put-meaning advent 'mach) (doctor-put-meaning pdp 'mach) (doctor-put-meaning dec 'mach) (doctor-put-meaning commodore 'mach) (doctor-put-meaning vic 'mach) (doctor-put-meaning bbs 'mach) (doctor-put-meaning modem 'mach) (doctor-put-meaning baud 'mach) (doctor-put-meaning macintosh 'mach) (doctor-put-meaning vax 'mach) (doctor-put-meaning vms 'mach) (doctor-put-meaning ibm 'mach) (doctor-put-meaning pc 'mach) (doctor-put-meaning bitching 'foul) (doctor-put-meaning shit 'foul) (doctor-put-meaning bastard 'foul) (doctor-put-meaning damn 'foul) (doctor-put-meaning damned 'foul) (doctor-put-meaning hell 'foul) (doctor-put-meaning suck 'foul) (doctor-put-meaning sucking 'foul) (doctor-put-meaning sux 'foul) (doctor-put-meaning ass 'foul) (doctor-put-meaning whore 'foul) (doctor-put-meaning bitch 'foul) (doctor-put-meaning asshole 'foul) (doctor-put-meaning shrink 'foul) (doctor-put-meaning pot 'toke) (doctor-put-meaning grass 'toke) (doctor-put-meaning weed 'toke) (doctor-put-meaning marijuana 'toke) (doctor-put-meaning acapulco 'toke) (doctor-put-meaning columbian 'toke) (doctor-put-meaning tokin 'toke) (doctor-put-meaning joint 'toke) (doctor-put-meaning toke'toke) (doctor-put-meaning toking 'toke) (doctor-put-meaning tokin\' 'toke) (doctor-put-meaning toked 'toke) (doctor-put-meaning roach 'toke) (doctor-put-meaning pills 'drug) (doctor-put-meaning dope 'drug) (doctor-put-meaning acid 'drug) (doctor-put-meaning lsd 'drug) (doctor-put-meaning speed 'drug) (doctor-put-meaning heroin 'drug) (doctor-put-meaning hash 'drug) (doctor-put-meaning cocaine 'drug) (doctor-put-meaning uppers 'drug) (doctor-put-meaning downers 'drug) (doctor-put-meaning loves 'loves) (doctor-put-meaning love 'love) (doctor-put-meaning loved 'love) (doctor-put-meaning hates 'hates) (doctor-put-meaning dislikes 'hates) (doctor-put-meaning hate 'hate) (doctor-put-meaning hated 'hate) (doctor-put-meaning dislike 'hate) (doctor-put-meaning stoned 'state) (doctor-put-meaning drunk 'state) (doctor-put-meaning drunken 'state) (doctor-put-meaning high 'state) (doctor-put-meaning horny 'state) (doctor-put-meaning blasted 'state) (doctor-put-meaning happy 'state) (doctor-put-meaning paranoid 'state) (doctor-put-meaning wish 'desire) (doctor-put-meaning wishes 'desire) (doctor-put-meaning want 'desire) (doctor-put-meaning desire 'desire) (doctor-put-meaning like 'desire) (doctor-put-meaning hope 'desire) (doctor-put-meaning hopes 'desire) (doctor-put-meaning desires 'desire) (doctor-put-meaning wants 'desire) (doctor-put-meaning desires 'desire) (doctor-put-meaning likes 'desire) (doctor-put-meaning needs 'desire) (doctor-put-meaning need 'desire) (doctor-put-meaning frustrated 'mood) (doctor-put-meaning depressed 'mood) (doctor-put-meaning annoyed 'mood) (doctor-put-meaning upset 'mood) (doctor-put-meaning unhappy 'mood) (doctor-put-meaning excited 'mood) (doctor-put-meaning worried 'mood) (doctor-put-meaning lonely 'mood) (doctor-put-meaning angry 'mood) (doctor-put-meaning mad 'mood) (doctor-put-meaning pissed 'mood) (doctor-put-meaning jealous 'mood) (doctor-put-meaning afraid 'fear) (doctor-put-meaning terrified 'fear) (doctor-put-meaning fear 'fear) (doctor-put-meaning scared 'fear) (doctor-put-meaning frightened 'fear) (doctor-put-meaning virginity 'sexnoun) (doctor-put-meaning virgins 'sexnoun) (doctor-put-meaning virgin 'sexnoun) (doctor-put-meaning cock
{ "pile_set_name": [ "Github", "Github" ] }
43,923,187
}, { token: "constant.library.nsis", regex: /\${(?:AtLeastServicePack|AtLeastWin7|AtLeastWin8|AtLeastWin10|AtLeastWin95|AtLeastWin98|AtLeastWin2000|AtLeastWin2003|AtLeastWin2008|AtLeastWin2008R2|AtLeastWinME|AtLeastWinNT4|AtLeastWinVista|AtLeastWinXP|AtMostServicePack|AtMostWin7|AtMostWin8|AtMostWin10|AtMostWin95|AtMostWin98|AtMostWin2000|AtMostWin2003|AtMostWin2008|AtMostWin2008R2|AtMostWinME|AtMostWinNT4|AtMostWinVista|AtMostWinXP|IsNT|IsServer|IsServicePack|IsWin7|IsWin8|IsWin10|IsWin95|IsWin98|IsWin2000|IsWin2003|IsWin2008|IsWin2008R2|IsWinME|IsWinNT4|IsWinVista|IsWinXP)}/ }, { token: "constant.language.boolean.true.nsis", regex: /\b(?:true|on)\b/ }, { token: "constant.language.boolean.false.nsis", regex: /\b(?:false|off)\b/ }, { token: "constant.language.option.nsis", regex: /(?:\b|^\s*)(?:(?:un\.)?components|(?:un\.)?custom|(?:un\.)?directory|(?:un\.)?instfiles|(?:un\.)?license|uninstConfirm|admin|all|auto|both|bottom|bzip2|current|force|hide|highest|ifdiff|ifnewer|lastused|leave|left|listonly|lzma|nevershow|none|normal|notset|right|show|silent|silentlog|textonly|top|try|user|Win10|Win7|Win8|WinVista|zlib)\b/, caseInsensitive: true }, { token: "constant.language.slash-option.nsis", regex: /\/(?:a|BRANDING|CENTER|COMPONENTSONLYONCUSTOM|CUSTOMSTRING\=|date|e|ENABLECANCEL|FILESONLY|file|FINAL|GLOBAL|gray|ifempty|ifndef|ignorecase|IMGID\=|ITALIC|LANG\=|NOCUSTOM|noerrors|NONFATAL|nonfatal|oname\=|o|REBOOTOK|redef|RESIZETOFIT|r|SHORT|SILENT|SOLID|STRIKE|TRIM|UNDERLINE|utcdate|windows|x)\b/, caseInsensitive: true }, { token: "constant.numeric.nsis", regex: /\b(?:0(?:x|X)[0-9a-fA-F]+|[0-9]+(?:\.[0-9]+)?)\b/ }, { token: "entity.name.function.nsis",
{ "pile_set_name": [ "Github", "Github" ] }
46,869,605
): return "C / C++ Files" elif filename.lower().endswith(".so"): return "*.so" elif filename.lower().endswith(".ipynb"): return "*.ipynb" elif filename.lower().endswith(".sql"): return "*.sql" elif filename.lower().endswith(".pdf"): return "*.pdf" elif filename.lower().endswith(".exe") or filename.lower().endswith(".dll"): return "Windows" elif filename.lower().endswith(".bat"): return "*.bat" elif filename.lower().endswith(".sh"): return "*.sh" elif filename.lower().endswith(".rsa"): return "*.rsa" # security? elif filename.lower().endswith(".ini"): return "*.ini" elif filename.lower().endswith(".lua"): return "*.lua" elif filename.lower().endswith(".db"): return "*.db" elif filename.lower().endswith(".xaf"): return "*.xaf" elif filename.lower().endswith(".pdb"): return "*.pdb" elif filename.lower().endswith(".tex") or filename.lower().endswith(".sty"): return "TeX" elif filename.lower().endswith(".dat"): return "*.dat" elif filename.lower().endswith(".r"): return "*.r" elif filename.lower().endswith(".csv"):
{ "pile_set_name": [ "Github", "Github" ] }
9,680,546
"ByteSize", AttrBitOffset: "BitOffset", AttrBitSize: "BitSize", AttrStmtList: "StmtList", AttrLowpc: "Lowpc", AttrHighpc: "Highpc", AttrLanguage: "Language", AttrDiscr: "Discr", AttrDiscrValue: "DiscrValue", AttrVisibility: "Visibility", AttrImport: "Import", AttrStringLength: "StringLength", AttrCommonRef: "CommonRef", AttrCompDir: "CompDir", AttrConstValue: "ConstValue", AttrContainingType: "ContainingType", AttrDefaultValue: "DefaultValue", AttrInline: "Inline", AttrIsOptional: "IsOptional", AttrLowerBound: "LowerBound", AttrProducer: "Producer", AttrPrototyped: "Prototyped", AttrReturnAddr: "ReturnAddr", AttrStartScope: "StartScope", AttrStrideSize: "StrideSize", AttrUpperBound: "UpperBound", AttrAbstractOrigin: "AbstractOrigin", AttrAccessibility: "Accessibility", AttrAddrClass: "AddrClass", AttrArtificial: "Artificial", AttrBaseTypes: "BaseTypes", AttrCalling: "Calling", AttrCount: "Count", AttrDataMemberLoc: "DataMemberLoc", AttrDeclColumn: "DeclColumn", AttrDeclFile: "DeclFile", AttrDeclLine: "DeclLine", AttrDeclaration: "Declaration", AttrDiscrList: "DiscrList", AttrEncoding: "Encoding", AttrExternal: "External", AttrFrameBase: "FrameBase", AttrFriend: "Friend", AttrIdentifierCase: "IdentifierCase", AttrMacroInfo:
{ "pile_set_name": [ "Github", "Github" ] }
51,063,276
DATA_PLOT_MAX_Y_VALUE_POINT_NAME("%DataPlotMaxYValuePointName"), DATA_PLOT_MAX_Y_VALUE_POINT_SERIES_NAME("%DataPlotMaxYValuePointSeriesName"), DATA_PLOT_MIN_Y_SUM_SERIES_NAME("%DataPlotMinYSumSeriesName"), DATA_PLOT_MIN_Y_VALUE_POINT_NAME("%DataPlotMinYValuePointName"), DATA_PLOT_MIN_Y_VALUE_POINT_SERIES_NAME("%DataPlotMinYValuePointSeriesName"), DATA_PLOT_POINT_COUNT("%DataPlotPointCount"), DATA_PLOT_SERIES_COUNT("%DataPlotSeriesCount"), DATA_PLOT_X_AVERAGE("%DataPlotXAverage"), DATA_PLOT_X_MAX("%DataPlotXMax"), DATA_PLOT_X_MIN("%DataPlotXMin"), DATA_PLOT_X_SUM("%DataPlotXSum"), DATA_PLOT_Y_AVERAGE("%DataPlotYAverage"), DATA_PLOT_Y_MAX("%DataPlotYMax"), DATA_PLOT_Y_MIN("%DataPlotYMin"), DATA_PLOT_Y_RANGE_MAX("%DataPlotYRangeMax"), DATA_PLOT_Y_RANGE_MIN("%DataPlotYRangeMin"), DATA_PLOT_Y_RANGE_SUM("%DataPlotYRangeSum"), DATA_PLOT_Y_SUM("%DataPlotYSum"), END("%end"), HIGH("%High"), INDEX("%Index"), LOW("%Low"), MINUTES_PER_DAY("%minutesPerDay"), NAME("%Name"), OPEN("%Open"), PERT_CHART_CRITICAL_PATH_STANDARD_DEVIATION("%PertChartCriticalPathStandardDeviation"), PERT_CHART_PROJECT_DURATION("%PertChartProjectDuration"), RANGE("%Range"), RANGE_END("%RangeEnd"), RANGE_START("%RangeStart"), RELATIVE_FREQUENCY("%RF"), RESOURCE_INDEX("%resourceIndex"), SELECTED_POINTS_SUM("%selectedPointsSum"), SERIES_BUBBLE_MAX_SIZE("%SeriesBubbleMaxSize"), SERIES_BUBBLE_MIN_SIZE("%SeriesBubbleMinSize"), SERIES_BUBBLE_SIZE_AVERAGE("%SeriesBubbleSizeAverage"), SERIES_BUBBLE_SIZE_MEDIAN("%SeriesBubbleSizeMedian"), SERIES_BUBBLE_SIZE_MODE("%SeriesBubbleSizeMode"), SERIES_BUBBLE_SIZE_SUM("%SeriesBubbleSizeSum"), SERIES_FIRST_X_VALUE("%SeriesFirstXValue"), SERIES_FIRST_Y_VALUE("%SeriesFirstYValue"), SERIES_LAST_X_VALUE("%SeriesLastXValue"), SERIES_LAST_Y_VALUE("%SeriesLastYValue"), SERIES_NAME("%SeriesName"), SERIES_POINT_COUNT("%SeriesPointCount"), SERIES_X_AVERAGE("%SeriesXAverage"), SERIES_X_AXIS_NAME("%SeriesXAxisName"), SERIES_X_MAX("%SeriesXMax"), SERIES_X_MEDIAN("%SeriesXMedian"), SERIES_X_MIN("%SeriesXMin"), SERIES_X_MODE("%SeriesXMode"), SERIES_X_SUM("%SeriesXSum"), SERIES_Y_AVERAGE("%SeriesYAverage"), SERIES_Y_AXIS_NAME("%SeriesYAxisName"), SERIES_Y_MAX("%SeriesYMax"), SERIES_Y_MEDIAN("%SeriesYMedian"), SERIES_Y_MIN("%SeriesYMin"), SERIES_Y_MODE("%SeriesYMode"), SERIES_Y_RANGE_MAX("%SeriesYRangeMax"), SERIES_Y_RANGE_MIN("%SeriesYRangeMin"), SERIES_Y_RANGE_SUM("%SeriesYRangeSum"), SERIES_Y_SUM("%SeriesYSum"), START("%start"), VALUE("%Value"),
{ "pile_set_name": [ "Github", "Github" ] }
59,140,446
DATATYPE ) : SUCCESS Xcos debug: propertyUpdated( 16 , PORT , DATATYPE ) : SUCCESS Xcos trace: propertyUpdated( 16 , PORT , DATATYPE ) : NO_CHANGES Xcos trace: propertyUpdated( 13 , BLOCK , STATE ) : NO_CHANGES Xcos trace: propertyUpdated( 13 , BLOCK , DSTATE ) : NO_CHANGES Xcos trace: propertyUpdated( 13 , BLOCK , ODSTATE ) : NO_CHANGES Xcos debug: propertyUpdated( 13 , BLOCK , RPAR ) : SUCCESS Xcos debug: propertyUpdated( 13 , BLOCK , IPAR ) : SUCCESS Xcos trace: propertyUpdated( 13 , BLOCK , OPAR ) : NO_CHANGES Xcos trace: propertyUpdated( 13 , BLOCK , SIM_BLOCKTYPE ) : NO_CHANGES Xcos debug: propertyUpdated( 13 , BLOCK , SIM_DEP_UT ) : SUCCESS Xcos trace: propertyUpdated(13 , BLOCK , DESCRIPTION ) : NO_CHANGES Xcos trace: propertyUpdated( 13 , BLOCK , NZCROSS ) : NO_CHANGES Xcos trace: propertyUpdated( 13 , BLOCK , NMODE ) : NO_CHANGES Xcos trace: propertyUpdated( 13 , BLOCK , EQUATIONS ) : NO_CHANGES Xcos trace: objectUnreferenced( 13 , BLOCK ) : 0 Xcos debug: propertyUpdated( 13 , BLOCK , INTERFACE_FUNCTION ) : SUCCESS Xcos trace: objectReferenced( 3 , BLOCK ) : 1 Xcos trace: propertyUpdated( 3 , BLOCK , PARENT_DIAGRAM ) : NO_CHANGES Xcos debug: propertyUpdated( 3 , BLOCK , PARENT_BLOCK ) : SUCCESS Xcos trace: objectReferenced( 6 , BLOCK ) : 1 Xcos trace: propertyUpdated( 6 , BLOCK , PARENT_DIAGRAM ) : NO_CHANGES Xcos debug: propertyUpdated( 6 ,
{ "pile_set_name": [ "Github", "Github" ] }
47,297,246
from April 2018 by 182,000 Up from March 2018 by 175,000 Up from February 2018 by 163,000 Up from January 2018 by 154,000 Up from December 2017 by 671,000 Up from November 2017 by 160,000 Up from October 2017 by 183,000 Up from September 2017 by 204,000 Up from August 2017 by 205,000 Up from July 2017 by 206,000 Up from June 2017 by 194,000 Up from May 2017 by 173,000 Up from April 2017 by 179,000 Up from March 2017 by 174,000 Up from February 2017 by 168,000 Up from January 2017 by 164,000 Down from December 2016 by 660,000 Up from November 2016 by 202,000 Up from October 2016 by 219,000 Up from September 2016 by 230,000 Up from August 2016 by 237,000 Up from July 2016 by 234,000 Up from June 2016 by 223,000 Up from May 2016 by 223,000 Up from April 2016 by 205,000 Up from March 2016 by 201,000 Up from February 2016 by 191,000 Up from January 2016 by 180,000 Up from December 2015 by 461,000 Up from November 2015 by 189,000 Up from October 2015 by 206,000 Up from September 2015 by 216,000 Up from August 2015 by 229,000 Up from July 2015 by 220,000 Up from June 2015 by 213,000 Up from May 2015 by 208,000 Up from April 2015 by 189,000 Up from March 2015 by 186,000 Up from February 2015 by 191,000 Up from January 2015 by 176,000 Up from December 2014 by 696,000 Up from November 2014 by 143,000 Up from October2014 by 187,000 Up from September 2014 by 211,000 Up from August 2014 by 217,000 Up from July 2014 by 206,000 Up from June 2014 by 209,000 Up from May 2014 by 192,000 Up from April 2014 by 183,000 Up from March 2014 by 181,000 Up from February 2014 by 173,000 Up from January 2014 by 170,000 Up from December 2013 by 170,000 Up from November 2013 by 178,000 Up from October 2013 by 186,000 Up from September 2013 by 213,000 Up from August 2013 by 209,000 Up from July 2013 by 203,000 Up from June 2013 by 204,000 Up from May 2013 by 189,000 Up from April 2013 by 188,000 Up from March 2013 by 180,000 Up from February 2013 by 167,000 Up from January 2013 by 165,000 Up from December 2012 by 313,000 Up from November 2012 by 176,000 Up from October 2012 by 191,000 Up from September 2012 by 211,000 Up from August 2012 by 206,000 Up from July 2012 by 212,000 Up from June 2012 by 199,000 Up from May 2012 by 189,000 Up from April 2012 by 182,000 Up from March 2012 by 180,000 Up from February 2012 by 169,000 Up from January 2012 by 335,000 Up from December 2011 by 2,020,000 This month the BLS has increased the Civilian Labor Force to 162,245,000 (up from June by 105.000). Subtract the second number (‘civilian labor force’) from the first
{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
40,375,894
35.55) – ( 75.26, 35.55) – ( 75.34, 35.55) – ( 75.42, 35.55) – ( 75.50, 35.55) – ( 75.58, 35.55) – ( 75.66, 35.55) – ( 75.74, 35.55) – ( 75.82, 35.55) – ( 75.89, 35.56) – ( 75.97, 35.56) – ( 76.05, 35.56) – ( 76.12, 35.56) – ( 76.20, 35.56) – ( 76.27, 35.56) – ( 76.35, 35.56) – ( 76.42, 35.56) – ( 76.50, 35.56) – ( 76.57, 35.56) – ( 76.64, 35.56) – ( 76.71, 35.56) – ( 76.79, 35.56) – ( 76.86, 35.56) – ( 76.93, 35.56) – ( 77.00, 35.56) – ( 77.07, 35.56) – ( 77.14, 35.56) – ( 77.21, 35.56) – ( 77.28, 35.56) – ( 77.35, 35.56) – ( 77.42, 35.56) – ( 77.48, 35.56) – ( 77.55,35.59) – ( 82.80, 35.59) – ( 82.85, 35.59) – ( 82.89, 35.59) – ( 82.94, 35.59) – ( 82.98, 35.59) – ( 83.02, 35.59) – ( 83.07, 35.59) – ( 83.11, 35.59) – ( 83.15, 35.59) – ( 83.20, 35.59) – ( 83.24, 35.59) – ( 83.28, 35.59) – ( 83.32, 35.59) – ( 83.36, 35.59) – ( 83.41, 35.59) – ( 83.45, 35.59) – ( 83.49, 35.59) – ( 83.53, 35.59) – ( 83.57, 35.59) – ( 83.62, 35.59) – ( 83.66, 35.59) – ( 83.70, 35.59) – ( 83.74, 35.59) – ( 83.78, 35.59) – ( 83.82, 35.59) – ( 83.86, 35.59) – ( 83.90, 35.59) – ( 83.94, 35.59) – ( 83.98, 35.59) – ( 84.02, 35.60) – ( 84.06, 35.60) – ( 84.10,
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3,020,028
35.69) – ( 93.47, 35.69) – ( 93.49, 35.69) – ( 93.51, 35.69) – ( 93.52, 35.69) – ( 93.54, 35.69) – ( 93.56, 35.69) – ( 93.58, 35.69) – ( 93.60, 35.69) – ( 93.62, 35.69) – ( 93.63, 35.69) – ( 93.65, 35.69) – ( 93.67, 35.69) – ( 93.69, 35.69) – ( 93.71, 35.69) – ( 93.73, 35.69) – ( 93.74, 35.69) – ( 93.76, 35.69) – ( 93.78, 35.69) – ( 93.80, 35.69) – ( 93.82, 35.69) – ( 93.83, 35.70) – ( 93.85, 35.70) – ( 93.87, 35.70) – ( 93.89, 35.70) – ( 93.91, 35.70) – ( 93.92, 35.70) – ( 93.94, 35.70) – ( 93.96, 35.70) – ( 93.98, 35.70) – ( 94.00, 35.70) – ( 94.01, 35.70) – ( 94.03,35.70) – ( 94.05, 35.70) – ( 94.07, 35.70) – ( 94.08, 35.70) – ( 94.10, 35.70) – ( 94.12, 35.70) – ( 94.14, 35.70) – ( 94.16, 35.70) – ( 94.17, 35.70) – ( 94.19, 35.70) – ( 94.21, 35.70) – ( 94.23, 35.70) – ( 94.24, 35.70) – ( 94.26, 35.70) – ( 94.28, 35.70) – ( 94.30, 35.70) – ( 94.31, 35.70) – ( 94.33, 35.70) – ( 94.35, 35.70) – ( 94.36, 35.70) – ( 94.38, 35.70) – ( 94.40, 35.70) – ( 94.42, 35.70) – ( 94.43, 35.70) – ( 94.45, 35.70) – ( 94.47, 35.70) – ( 94.49, 35.70) – ( 94.50, 35.71) – ( 94.52, 35.71) – ( 94.54, 35.71) – ( 94.55, 35.71) – ( 94.57, 35.71) – ( 94.59,
{ "pile_set_name": [ "ArXiv", "ArXiv" ] }
3,020,044
groups.An American anti-gay activist has been allowed into Canada after customs officers delayed him at the Regina airport over hate speech concerns. Peter LaBarbera says he was scheduled to speak at a pro-life meeting in Weyburn, Sask., this weekend when customs officials stopped him earlier today at the Regina airport. After he told the officials why he was coming to Canada, LaBarbera says they checked out his group's website, searched his laptop and told him he may be breaking Canadian hate-speech laws. He was initially told he couldn't enter Canada. But that decision was reversed a short time later. LaBarbera says he was treated fairly and reasonably and hopes to be able to engage protesters expected at his speech in debate.IMPLEMENT_DYNAMIC_CLASS(wxMoveEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxFocusEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxChildFocusEvent, wxCommandEvent) IMPLEMENT_DYNAMIC_CLASS(wxCloseEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxShowEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxMaximizeEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxIconizeEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxMenuEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxJoystickEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxDropFilesEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxActivateEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxInitDialogEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxSetCursorEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxSysColourChangedEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxDisplayChangedEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxUpdateUIEvent, wxCommandEvent) IMPLEMENT_DYNAMIC_CLASS(wxNavigationKeyEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxPaletteChangedEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxQueryNewPaletteEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxWindowCreateEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxWindowDestroyEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxHelpEvent, wxCommandEvent) IMPLEMENT_DYNAMIC_CLASS(wxContextMenuEvent, wxCommandEvent) IMPLEMENT_DYNAMIC_CLASS(wxMouseCaptureChangedEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxMouseCaptureLostEvent, wxEvent) IMPLEMENT_DYNAMIC_CLASS(wxClipboardTextEvent, wxCommandEvent) #endif //
{ "pile_set_name": [ "OpenWebText2", "Github" ] }
41,366,155
: SUCCESS Xcos debug: propertyUpdated( 26 , PORT , SOURCE_BLOCK ) : SUCCESS Xcos trace: propertyUpdated( 26 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos debug: propertyUpdated( 25 , BLOCK , INPUTS ) : SUCCESS Xcos info: objectCreated( 27 , PORT ) Xcos info: objectCloned( 12 , 27 , PORT ) Xcos trace: propertyUpdated( 27 , PORT , FIRING ) : NO_CHANGES Xcos debug: propertyUpdated( 27 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated( 27 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: propertyUpdated( 27 , PORT , UID ) : NO_CHANGES Xcos trace: propertyUpdated( 27 , PORT , STYLE ) : NO_CHANGES Xcos trace: propertyUpdated( 27 , PORT , LABEL ): NO_CHANGES Xcos debug: propertyUpdated( 27 , PORT , DATATYPE ) : SUCCESS Xcos debug: propertyUpdated( 27 , PORT , SOURCE_BLOCK ) : SUCCESS Xcos trace: propertyUpdated( 27 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos debug: propertyUpdated( 25 , BLOCK , OUTPUTS ) : SUCCESS Xcos trace: propertyUpdated( 25 , BLOCK , EVENT_INPUTS ) : NO_CHANGES Xcos trace: propertyUpdated( 25 , BLOCK , EVENT_OUTPUTS ) : NO_CHANGES Xcos debug: propertyUpdated( 25 , BLOCK , PARENT_BLOCK ) : SUCCESS Xcos trace: propertyUpdated( 27 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos trace: propertyUpdated( 26 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos trace: propertyUpdated( 24 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos trace: propertyUpdated( 23 ,
{ "pile_set_name": [ "Github", "Github" ] }
47,297,267
alcohol 'alcohol) (doctor-put-meaning bourbon 'alcohol) (doctor-put-meaning beer 'alcohol) (doctor-put-meaning wine 'alcohol) (doctor-put-meaning whiskey 'alcohol) (doctor-put-meaning scotch 'alcohol) (doctor-put-meaning fuck 'sexverb) (doctor-put-meaning fucked 'sexverb) (doctor-put-meaning screw 'sexverb) (doctor-put-meaning screwing 'sexverb) (doctor-put-meaning fucking 'sexverb) (doctor-put-meaning rape 'sexverb)4 (doctor-put-meaning raped 'sexverb) (doctor-put-meaning kiss 'sexverb) (doctor-put-meaning kissing 'sexverb) (doctor-put-meaning kisses 'sexverb) (doctor-put-meaning screws 'sexverb) (doctor-put-meaning fucks 'sexverb) (doctor-put-meaning because 'conj) (doctor-put-meaning but 'conj) (doctor-put-meaning however 'conj) (doctor-put-meaning besides 'conj) (doctor-put-meaning anyway 'conj) (doctor-put-meaning that 'conj) (doctor-put-meaning except 'conj) (doctor-put-meaning why 'conj) (doctor-put-meaning how 'conj) (doctor-put-meaning until 'when) (doctor-put-meaning when 'when) (doctor-put-meaning whenever 'when) (doctor-put-meaning while 'when) (doctor-put-meaning since 'when) (doctor-put-meaning rms 'rms) (doctor-put-meaning stallman 'rms) (doctor-put-meaning school 'school) (doctor-put-meaning schools 'school) (doctor-put-meaning skool 'school) (doctor-put-meaning grade 'school) (doctor-put-meaning grades 'school) (doctor-put-meaning teacher 'school) (doctor-put-meaning teachers 'school) (doctor-put-meaning classes 'school) (doctor-put-meaning professor 'school) (doctor-put-meaning prof 'school) (doctor-put-meaning profs 'school) (doctor-put-meaning professors 'school) (doctor-put-meaning mit 'school) (doctor-put-meaning emacs 'eliza) (doctor-put-meaning eliza 'eliza) (doctor-put-meaning liza 'eliza) (doctor-put-meaning elisa 'eliza) (doctor-put-meaning weizenbaum 'eliza) (doctor-put-meaning doktor 'eliza) (doctor-put-meaning atheletics 'sports) (doctor-put-meaning baseball 'sports) (doctor-put-meaning basketball 'sports) (doctor-put-meaning football 'sports) (doctor-put-meaning frisbee 'sports) (doctor-put-meaning gym 'sports) (doctor-put-meaning gymnastics 'sports) (doctor-put-meaning hockey 'sports) (doctor-put-meaning lacrosse 'sports) (doctor-put-meaning soccer 'sports) (doctor-put-meaning softball 'sports) (doctor-put-meaningFred Kruger Fred Kruger (born Johan Friedrich Carl Kruger, 18 April 1831 – 15 February 1888) was a German-born photographer noted for his early photography of landscape and indigenous peoples in Victoria, Australia. Migration to Australia from Germany Kruger was born of a working-class family on 18 April 1831 at 16 Steingassestrasse, Berlin, Germany, and was baptised Johān Friedrich Carl Krüger. He traded as an upholsterer and in 1858 married Auguste Wilhelmine Elisabeth Bauman at Friedrichwerder Church in Berlin. It is thought that his wife and son migrated to Victoria, Australia on 23 April 1863, some time after his own arrival. He initially joined a partnership in a furniture business that his brother Bernard established at Rutherglen in 1854. Kruger subsequently became the sole owner of the business, but then
{ "pile_set_name": [ "Github", "Wikipedia (en)" ] }
1,029,731
, PORT ) Xcos info: objectCloned( 8 , 23 , PORT ) Xcos trace: propertyUpdated( 23 , PORT , FIRING ) : NO_CHANGES Xcos debug: propertyUpdated( 23 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated( 23 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: propertyUpdated( 23 , PORT , UID ) : NO_CHANGES Xcos trace: propertyUpdated( 23 , PORT , STYLE ) : NO_CHANGES Xcos trace: propertyUpdated( 23 , PORT , LABEL ) : NO_CHANGES Xcos debug: propertyUpdated( 23 , PORT , DATATYPE ) : SUCCESS Xcos debug: propertyUpdated( 23 , PORT , SOURCE_BLOCK ) : SUCCESS Xcos trace: propertyUpdated( 23 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos debug: propertyUpdated( 21 ,BLOCK , INPUTS ) : SUCCESS Xcos info: objectCreated( 24 , PORT ) Xcos info: objectCloned( 9 , 24 , PORT ) Xcos trace: propertyUpdated( 24 , PORT , FIRING ) : NO_CHANGES Xcos debug: propertyUpdated( 24 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated( 24 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: propertyUpdated( 24 , PORT , UID ) : NO_CHANGES Xcos trace: propertyUpdated( 24 , PORT , STYLE ) : NO_CHANGES Xcos trace: propertyUpdated( 24 , PORT , LABEL ) : NO_CHANGES Xcos debug: propertyUpdated( 24 , PORT , DATATYPE ) : SUCCESS Xcos debug: propertyUpdated( 24 , PORT , SOURCE_BLOCK ) : SUCCESS Xcos trace: propertyUpdated( 24 ,
{ "pile_set_name": [ "Github", "Github" ] }
47,297,261
Natural Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 306 Brazil: Synthetic Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 307 Brazil: Soft-Tissue Attachments Market, By Type, 2016�2023 (USD Million) Table 308 Brazil: Biological Meshes Market, By Type, 2016�2023 (USD Million) Table 309 Brazil: Bone-Graft Substitutes Market, By Type, 2016�2023 (USD Million) Table 310 Brazil: Biosurgery Market, By Application, 2016�2023 (USD Million) Table 311 Mexico: Key Macroindicators for the Biosurgery Market Table 312 Mexico: Biosurgery Market, By Product, 2016�2023 (USD Million) Table 313 Mexico: Surgical Sealants & Adhesives Market, By Type, 2016�2023 (USD Million) Table 314 Mexico: Natural/Biological Sealants Market, By Type, 2016�2023 (USD Million) Table 315 Mexico: Natural/Biological Sealants Market, By Origin, 2016�2023 (USD Million) Table 316 Mexico: Synthetic & Semi-Synthetic Sealants Market, By Type, 2016�2023 (USD Million) Table 317 Mexico: Adhesion Barriers Market, By Type, 2016�2023(USD Million) Table 318 Mexico: Natural Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 319 Mexico: Synthetic Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 320 Mexico: Soft-Tissue Attachments Market, By Type, 2016�2023 (USD Million) Table 321 Mexico: Biological Meshes Market, By Type, 2016�2023 (USD Million) Table 322 Mexico: Bone-Graft Substitutes Market, By Type, 2016�2023 (USD Million) Table 323 Mexico: Biosurgery Market, By Application, 2016�2023 (USD Million) Table 324 RoLA: Biosurgery Market, By Product, 2016�2023 (USD Million) Table 325 RoLA: Surgical Sealants & Adhesives Market, By Type, 2016�2023 (USD Million) Table 326 RoLA: Natural/Biological Sealants Market, By Type, 2016�2023 (USD Million) Table 327 RoLA: Natural/Biological Sealants Market, By Origin, 2016�2023 (USD Million) Table 328 RoLA: Synthetic & Semi-Synthetic Sealants Market, By Type, 2016�2023 (USD Million) Table 329 RoLA: Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 330 RoLA:
{ "pile_set_name": [ "OpenWebText2", "OpenWebText2" ] }
57,475,891
9 to 12 weeks the family groups begin to break up, and in 12 to 15 weeks the weasels reach their adult weight. ATGTTCATTAATCGATGATTATTTTCCACTAATCACAAAGACATCGGCACCCTTTACCTCTTATTTGGTGCATGAGCCGGAATAGTAGGTACTGCCCTCAGTCTACTAATCCGCGCTGAACTTGGTCAACCTGGCGCTCTATTAGGAGACGACCAGGTTTATAACGTGATCGTGACTGCTCACGCATTTGTAATAATTTTCTTCATAGTAATACCTATCATGCTTGGGGGTTTTGGGAACTGACTTATTCCCTTAATAATTGGCGCACCTGATATAGCATTCCCACGAATAAATAACATAAGCTTCTGACTTCTTCCACCCTCTTTTCTTCTCCTACTGGCCTCCTCTATGGTAGAAGCGGGTGCAGGGACTGGATGAACTGTATACCCTCCTCTAGCAGGGAACCTGGCACATGCTGGAGCATCCGTAGACCTAGCAATCTTTTCTCTTCACTTAGCTGGTGTTTCATCTATTTTAGGGTCAATTAACTTCATCACCACTATTATCAACATAAAACCACCTGCTATATCACAGTACCAAACCCCATTATTCGTATGATCAGTCTTAATTACAGCTGTACTTCTTCTCCTATCTCTGCCAGTTTTAGCAGCCGGCATCACCATATTACTTACAGATCGAAATCTAAACACTACTTTCTTCGACCCGGCCGGAGGAGGAGACCCTATCTTGTACCAACACCTATTTTGATTTTTTGGGCACCCGGAAGTATATATCCTAATTCTTCCAGGGTTTGGTATTATTTCACACGTTGTAACATATTACTCAGGAAAAAAAGAACCATTCGGTTACATGGGGATAGTATGAGCAATAATATCAATTGGTTTCCTAGGATTTATCGTATGAGCCCACCATATATTTACCGTAGGCTTAGACGTTGACACACGAGCATATTTCACCTCAGCTACCATGATCATCGCCATCCCCACTGGAGTAAAAGTATTCAGCTGACTTGCCACCCTACATGGAGGAAATATCAAATGATCCCCTGCTATGTTATGAGCCTTGGGGTTTATTTTTCTATTTACAGTAGGGGGTCTAACGGGCATTGTACTATCAAATTCATCACTAGACATTGTCCTTCACGACACATATTATGTAGTAGCACACTTCCACTACGTCCTCTCAATAGGGGCAGTGTTTGCAATTATAGGCGGATTCGTTCACTGATTCCCACTATTCACAGGCTATACCCTAAATGATGTATGAGCAAAAATTCATTTCACAATTATATTTGTAGGAGTAAACACAACATTCTTTCCTCAACATTTCCTAGGCCTATCAGGTATGCCTCGACGCTACTCCGATTACCCAGATGCTTATACAACATGAAATACAGTATCCTCCATAGGATCGTTCATCTCATTAACAGCAGTTATACTAATAATCTTCATGATTTGAGAAGCCTTCGCATCCAAACGAGAAGTATTGACAGTAGAACTAACCTCAACTAATATCGAATGACTACATGGATGCCCTCCTCCATATCACACATTCGAAGAACCAACCTATGTACTATCAAAATAA-- end -- This species is listed as Least Concern in view of its wide distribution, presumed large population, occurrence in a number of protected areas, tolerance to some degree of habitat modification, and because it is unlikely to be declining at nearly the rate required to qualify for listing in a threatened category. Article rating from 0 people Trends Population In the European part of its range, there are documented population declines in some areas (e.g. Britain: Battersby, 2005), and suspected declines in others. Although it has a wide distribution, it is considered rare in North America (Sheffield and King, 1994). In Eurasia, it is relatively common, but not often seenowing to changes in agricultural practices (rural abandonment) in parts of Europe, as open fields undergo succession. Article rating from 0 people Populations of weasels are controlled because they take gamebird eggs and chicks (3). Likely threats include habitat loss and simplification, as well as predation by foxes. Agricultural changes have led in many areas to the loss or reduction of rough grasslands, which is prime habitat for the field vole, a key source of food for weasels (3). Evidence is building that rodenticides are having an effect on weasels and stoats, as they eat poisoned rodents (5). Article rating from 0 people Management Conservation Actions This species is found in many protected areas. It is listed on Appendix III of the Bern Convention (Pulliainen, 1999), and is protected under national and sub-national legislation in a
{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
11,031,466
rdfs:isDefinedBy northwind:DLF-Category (categories.CategoryID) . northwind:DLF-CategoryPhoto(categories.CategoryID) a northwind:CategoryPhoto as northwind:DLF-map-Category-categories.CategoryPhotoID ; rdfs:isDefinedBy northwind:DLF-CategoryPhoto(categories.CategoryID) . northwind:DLF-Shipper (shippers.ShipperID) northwind:DLF-Country(orders.ShipCountry) as northwind:DLF-map-ship_country ; rdfs:isDefinedBy northwind:DLF-Order (orders.OrderID) . northwind:DLF-Customer (orders.CustomerID) northwind:has_order northwind:DLF-Order (orders.OrderID) as northwind:DLF-map-Order-has_order . northwind:DLF-Shipper (orders.ShipVia)
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45,890,025
'match' => '((0B3E|0B40|E044|0B57|E068|E074|E08B|E08F)) 0B30 0B4D', 'replace' => '\\1 E069', ), 6 => array ( 'match' => '(0B3C) 0B30 0B4D', 'replace' => '\\1 E069', ), 7 => array ( 'match' => '(25CC) 0B30 0B4D', 'replace' => '\\1 E069', ), 8 => array ( 'match' => '((0B15|0B19|0B1A|0B1B|0B1C|0B1D|0B1E|0B20|0B21|0B22|0B24|0B26|0B28|0B2C|0B2D|0B32|0B33|0B35|0B39|25CC)) E069', 'replace' => '\\1 E06B', ), 9 => array ( 'match' => '((0B15|0B19|0B1A|0B1B|0B1C|0B1D|0B1E|0B20|0B21|0B22|0B24|0B26|0B28|0B2C|0B2D|0B32|0B33|0B35|0B39|25CC) 0B3C) E069', 'replace' => '\\1 E06B', ), 10 => array ( 'match' => '0B38 0B4D 0B24 0B4D 0B30', 0B4D 0B2E', 'replace' => 'E14A', ), 61 => array ( 'match' => '0B21 0B3C', 'replace' => '0B5C', ), 62 => array ( 'match' => '0B22 0B3C', 'replace' => '0B5D', ), 63 => array ( 'match' => '((0B15|0B16|0B17|0B18|0B19|0B1A|0B1B|0B1C|0B1D|0B1E|0B1F|0B20|0B21|0B22|0B23|0B24|0B25|0B26|0B27|0B28|0B2A|0B2B|0B2C|0B2D|0B2E|0B2F|0B30|0B32|0B33|0B35|0B36|0B37|0B38|0B39|0B71|E003|E004|E005|E006|E007|E008|E009|E00A|E00B|E00C|E00D|E00E|E00F|E010|E011|E012|E013|E014|E015|E016|E017|E018|E019|E01A|E01B|E01C|E01D|E01E|E01F|E020|E021|E023|E024|E025|E026|E027|E028|E029|E02A|E02B|E02C|E02D|E02E|E02F|E030|E031|E032|E033|E034|E035|E036|E037)) 0B4D', 'replace' => '\\1 2019', ), 64 => array ( 'match' => '((0B01|0B3F|0B56|E06B|E041|E064|E06D|E070|E089|E08C)) 0B4D', 'replace' => '\\1 2019', ), 65 => array ( 'match' => '(E069) 0B4D', 'replace' => '\\1 2019', ), 66 =>
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(in IDEInterfaceBuilderKit) 38 -[NSDocument writeToURL:ofType:forSaveOperation:originalContentsURL:error:] (in AppKit) 39 -[IBDocument writeToURL:ofType:forSaveOperation:originalContentsURL:error:] (in IDEInterfaceBuilderKit) 40 -[NSDocument _writeSafelyToURL:ofType:forSaveOperation:forceTemporaryDirectory:error:] (in AppKit) 41 -[NSDocument _writeSafelyToURL:ofType:forSaveOperation:error:] (in AppKit) 42 -[NSDocument writeSafelyToURL:ofType:forSaveOperation:error:] (in AppKit) 43 -[IDEEditorDocument writeSafelyToURL:ofType:forSaveOperation:error:] (in IDEKit) 44 __66-[NSDocument saveToURL:ofType:forSaveOperation:completionHandler:]_block_invoke_22463 (in AppKit) 45 __66-[NSDocument saveToURL:ofType:forSaveOperation:completionHandler:]_block_invoke2460 (in AppKit) 46 __66-[NSDocument saveToURL:ofType:forSaveOperation:completionHandler:]_block_invoke_22313 (in AppKit) 47 __50-[IDEEditorDocument continueFileAccessUsingBlock:]_block_invoke.74 (in IDEKit) 48 -[NSDocument continueFileAccessUsingBlock:] (in AppKit) 49 -[IDEEditorDocument continueFileAccessUsingBlock:] (in IDEKit) 50 __101-[NSDocument _fileCoordinator:asynchronouslyCoordinateReadingContentsAndWritingItemAtURL:byAccessor:]_block_invoke_2 (in AppKit) 51 __68-[IDEEditorDocument continueAsynchronousWorkOnMainThreadUsingBlock:]_block_invoke (in IDEKit) 52 __62-[NSDocumentController(NSInternal) _onMainThreadInvokeWorker:]_block_invoke2079 (in AppKit) 53 __CFRUNLOOP_IS_CALLING_OUT_TO_A_BLOCK__ (in CoreFoundation) 54 __CFRunLoopDoBlocks (in CoreFoundation) 55 __CFRunLoopRun (in CoreFoundation) 56 spiritual vision. The energies and their respective senses include: light as sight, sound as hearing, molecular vapors as smell, dissolved molecules as taste, and bulk mass as touch. The nervous system processes these signals and presents them to the higher nerve centers of the brain, which are then perceived by soul, and ultimately displayed and perceived by the human consciousness. o The Soul: The layer of subtle physicality which forms as a result of the configuration of the physical substance comprising the body. The soul transforms the signals of the nervous system and forms a soul-level analogue of the molecular configuration of the body. The soul passes the information perceived by the body onto the spirit for cognition of awareness. o The Spirit: This layer was created by God as
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{ "pile_set_name": [ "ArXiv", "ArXiv" ] }
3,020,049
model:product.template,name:openeducat_fees.op_product_6_product_template msgid "Admission Fees for Grade-8" msgstr "Lệ phí nhập học cho lớp-8" #. module: openeducat_fees #: model:product.product,name:openeducat_fees.op_product_3 #: model:product.template,name:openeducat_fees.op_product_3_product_template msgid "Admission Fees for LTRP" msgstr "Lệ phí nhập học cho LTRP" #. module: openeducat_fees #: model:product.product,name:openeducat_fees.op_product_4 #: model:product.template,name:openeducat_fees.op_product_4_product_template msgid "Admission Fees for PPHD" msgstr "Lệ phí nhập học cho PPHD" #. module: openeducat_fees #: selection:op.fees.terms,day_type:0 msgid "After" msgstr "Sau" #. module: openeducat_fees #: model:ir.model.fields,field_description:openeducat_fees.field_op_fees_terms__message_attachment_count msgid "Attachment Count" msgstr "Đếm tập tin đính kèm" #. module: openeducat_fees #: selection:op.fees.terms,day_type:0 msgid "Before" msgstr "Trước" #. module: openeducat_fees #: model_terms:ir.ui.view,arch_db:openeducat_fees.fees_detail_report_wizard_form #: selection:op.student.fees.details,state:0 msgid "Cancel" msgstr "Hủy" #. module: openeducat_fees #: model:ir.model.fields,field_description:openeducat_fees.field_op_fees_terms__company_id msgid "Company" msgstr "Công ty" #. module: openeducat_fees #: selection:fees.detail.report.wizard,fees_filter:0 #: model:ir.model.fields,field_description:openeducat_fees.field_fees_detail_report_wizard__course_id msgid "Course" msgstr "Khóa học" #. module: openeducat_fees #: model_terms:ir.ui.view,arch_db:openeducat_fees.view_op_student_form_fees_inherit msgid "Create Invoice" msgstr "Tạo hóa đơn" #. module: openeducat_fees #: model:ir.model.fields,field_description:openeducat_fees.field_fees_detail_report_wizard__create_uid #: model:ir.model.fields,field_description:openeducat_fees.field_op_fees_element__create_uid #: model:ir.model.fields,field_description:openeducat_fees.field_op_fees_terms__create_uid #: model:ir.model.fields,field_description:openeducat_fees.field_op_fees_terms_line__create_uid #: model:ir.model.fields,field_description:openeducat_fees.field_op_student_fees_details__create_uid msgid "Created by" msgstr "Được tạo bởi" #. module: openeducat_fees #: model:ir.model.fields,field_description:openeducat_fees.field_fees_detail_report_wizard__create_date #: model:ir.model.fields,field_description:openeducat_fees.field_op_fees_element__create_date #: model:ir.model.fields,field_description:openeducat_fees.field_op_fees_terms__create_date #: model:ir.model.fields,field_description:openeducat_fees.field_op_fees_terms_line__create_date #: model:ir.model.fields,field_description:openeducat_fees.field_op_student_fees_details__create_date msgid "Created on" msgstr "Được tạo ra" #. module: openeducat_fees #: model:ir.model.fields,field_description:openeducat_fees.field_op_fees_terms__note msgid "Description" msgstr "Sự miêu tả" #. module: openeducat_fees #: model_terms:ir.ui.view,arch_db:openeducat_fees.view_fees_terms_form msgid "Description..." msgstr "Sự miêu tả..." #. module: openeducat_fees #: model:ir.model.fields,field_description:openeducat_fees.field_fees_detail_report_wizard__display_name #: model:ir.model.fields,field_description:openeducat_fees.field_op_fees_element__display_name #:openeducat_fees #: model:ir.model.fields,field_description:openeducat_fees.field_fees_detail_report_wizard__fees_filter msgid "Fees Filter" msgstr "phí Lọc" #. module: openeducat_fees #: model:ir.model.fields,field_description:openeducat_fees.field_op_student_fees_details__fees_line_id msgid "Fees Line" msgstr "phí đường" #. module: openeducat_fees #: model_terms:ir.ui.view,arch_db:openeducat_fees.view_fees_terms_form #: model_terms:ir.ui.view,arch_db:openeducat_fees.view_fees_terms_search #: model_terms:ir.ui.view,arch_db:openeducat_fees.view_fees_terms_tree msgid "Fees Reminder Terms" msgstr "Phí Điều khoản Reminder" #. module: openeducat_fees #: model:ir.model,name:openeducat_fees.model_report_openeducat_fees_report_fees_analysis msgid "Fees Report" msgstr "phí báo cáo" #. module: openeducat_fees #: model:ir.model.fields,field_description:openeducat_fees.field_op_course__fees_term_id msgid "Fees Term" msgstr "phí hạn" #. module: openeducat_fees #: model_terms:ir.ui.view,arch_db:openeducat_fees.view_fees_terms_form msgid "Fees Term Line" msgstr "Phí hạn dòng" #. module: openeducat_fees #: model:ir.actions.act_window,name:openeducat_fees.act_open_fees_terms_view #: model:ir.model.fields,field_description:openeducat_fees.field_op_fees_element__fees_terms_line_id #: model:ir.model.fields,field_description:openeducat_fees.field_op_fees_terms__name #: model:ir.ui.menu,name:openeducat_fees.menu_fees_terms msgid "Fees Terms" msgstr "phí Điều khoản" #. module: openeducat_fees #: model:ir.model,name:openeducat_fees.model_op_fees_terms msgid "Fees Terms For Course" msgstr "Phí Điều khoản Đối với khóa học" #. module: openeducat_fees #: code:addons/openeducat_fees/models/fees_terms.py:56 #, python-format msgid "Fees Terms must be Required!" msgstr "Phí khoản phải bắt buộc!" #. module: openeducat_fees #: model:product.product,name:openeducat_fees.op_product_5 #: model:product.template,name:openeducat_fees.op_product_5_product_template msgid "Fees for IELTS" msgstr "Lệ phí thi IELTS" #. module: openeducat_fees #: code:addons/openeducat_fees/models/fees_terms.py:63 #, python-format msgid "Fees terms must be divided as such sum up in 100%" msgstr "Về lệ phí phải được phân chia như tiền như vậy lên 100%" #. module:
{ "pile_set_name": [ "Github", "Github" ] }
59,938,812
propertyUpdated( 6 , BLOCK , SIM_FUNCTION_NAME ) : SUCCESS Xcos debug: propertyUpdated( 6 , BLOCK , SIM_FUNCTION_API ) : SUCCESS Xcos debug: propertyUpdated( 7 , PORT , DATATYPE ) : SUCCESS Xcos debug: propertyUpdated( 8 , PORT , DATATYPE ) : SUCCESS Xcos debug: propertyUpdated( 9 , PORT , DATATYPE ) : SUCCESS Xcos trace: propertyUpdated( 9 , PORT , DATATYPE ) : NO_CHANGES Xcos trace: propertyUpdated( 6 , BLOCK , STATE ) : NO_CHANGES Xcos trace: propertyUpdated( 6 , BLOCK , DSTATE ) : NO_CHANGES Xcos trace: propertyUpdated( 6 , BLOCK , ODSTATE ) : NO_CHANGES Xcos debug: propertyUpdated( 6 , BLOCK , RPAR ) : SUCCESS Xcos debug: propertyUpdated( 6 , BLOCK , IPAR ) :SUCCESS Xcos trace: propertyUpdated( 6 , BLOCK , OPAR ) : NO_CHANGES Xcos trace: propertyUpdated( 6 , BLOCK , SIM_BLOCKTYPE ) : NO_CHANGES Xcos debug: propertyUpdated( 6 , BLOCK , SIM_DEP_UT ) : SUCCESS Xcos trace: propertyUpdated( 6 , BLOCK , DESCRIPTION ) : NO_CHANGES Xcos trace: propertyUpdated( 6 , BLOCK , NZCROSS ) : NO_CHANGES Xcos trace: propertyUpdated( 6 , BLOCK , NMODE ) : NO_CHANGES Xcos trace: propertyUpdated( 6 , BLOCK , EQUATIONS ) : NO_CHANGES Xcos trace: objectUnreferenced( 6 , BLOCK ) : 0 Xcos debug: propertyUpdated( 6 , BLOCK , INTERFACE_FUNCTION ) : SUCCESS Xcos info: objectCreated( 10 , BLOCK ) Xcos trace: objectReferenced( 10 , BLOCK ) : 1 Xcos debug:
{ "pile_set_name": [ "Github", "Github" ] }
47,297,238
By Type, 2017�2025 (USD Million) Table 142 Japan: Laboratory Filtration Assemblies Market, By Type, 2017�2025 (USD Million) Table 143 Japan: Laboratory Filtration Accessories Market, By Type, 2017�2025 (USD Million) Table 144 Japan: Laboratory Filtration Market, By Technique, 2017�2025 (USD Million) Table 145 Japan: Market, By End User, 2017�2025 (USD Million) Table 146 India: Market, By Product, 2017�2025 (USD Million) Table 147 India: Laboratory Filtration Media Market, By Type, 2017�2025 (USD Million) Table 148 India: Laboratory Filtration Assemblies Market, By Type, 2017�2025 (USD Million) Table 149 India: Laboratory Filtration Accessories Market, By Type, 2017�2025 (USD Million) Table 150 India: Laboratory Filtration Market, By Technique, 2017�2025 (USD Million) Table 151 India: Market, By End User, 2017�2025 (USD Million) Table 152 RoAPAC: Market, By Product, 2017�2025 (USD Million) Table 153 RoAPAC: Laboratory Filtration Assemblies Market, By Type, 2017�2025 (USD Million) Table 154 RoAPAC: LaboratoryFiltration Media Market, By Type, 2017�2025 (USD Million) Table 155 RoAPAC: Laboratory Filtration Accessories Market, By Type, 2017�2025 (USD Million) Table 156 RoAPAC: Laboratory Filtration Market, By Technique, 2017�2025 (USD Million) Table 157 RoAPAC: Market, By End User, 2017�2025 (USD Million) Table 158 Latin America: Market, By Product, 2017�2025 (USD Million) Table 159 Latin America: Laboratory Filtration Media Market, By Type, 2017�2025 (USD Million) Table 160 Latin America: Laboratory Filtration Assemblies Market, By Type, 2017�2025 (USD Million) Table 161 Latin America: Laboratory Filtration Accessories Market, By Type, 2017�2025 (USD Million) Table 162 Latin America: Laboratory Filtration Market, By Technique, 2017�2025 (USD Million) Table 163 Latin America: Market, By End User, 2017�2025 (USD Million) Table 164 MEA: Market, By Product, 2017�2025 (USD Million) Table 165 MEA: Laboratory Filtration Media Market, By Type, 2017�2025 (USD Million) Table 166 MEA: Laboratory Filtration Assemblies
{ "pile_set_name": [ "OpenWebText2", "OpenWebText2" ] }
54,083,638
ONE OF THE TELLERS IN WHAT APPEARS TO BE THE SAME HELMET AND FAKE BEARD, HE WENT UP TO ONE OF THE TELLERS AND HELMET AND FAKE BEARD, HE WENT UP TO ONE OF THE TELLERS AND HELMET AND FAKE BEARD, HE WENT UP TO ONE OF THE TELLERS AND DEMANDED HELMET AND FAKE BEARD, HE WENT UP TO ONE OF THE TELLERS AND DEMANDED MONEY. UP TO ONE OF THE TELLERS AND DEMANDED MONEY. UP TO ONE OF THE TELLERS AND DEMANDED MONEY. HE UP TO ONE OF THE TELLERS AND DEMANDED MONEY. HE WAS UP TO ONE OF THE TELLERS AND DEMANDED MONEY. HE WAS GIVEN UP TO ONE OF THE TELLERS AND DEMANDED MONEY. HE WAS GIVEN SOME UP TO ONE OF THE TELLERS AND DEMANDED MONEY. HE WAS GIVEN SOME CASH UP TO ONE OF THE TELLERS AND DEMANDED MONEY. HE WAS GIVEN SOME CASH AND DEMANDED MONEY. HE WAS GIVEN SOME CASH AND DEMANDED MONEY. HE WAS GIVENSOME CASH AND LEFT DEMANDED MONEY. HE WAS GIVEN SOME CASH AND LEFT IN DEMANDED MONEY. HE WAS GIVEN SOME CASH AND LEFT IN AN DEMANDED MONEY. HE WAS GIVEN SOME CASH AND LEFT IN AN OLDER DEMANDED MONEY. HE WAS GIVEN SOME CASH AND LEFT IN AN OLDER BLACK DEMANDED MONEY. HE WAS GIVEN SOME CASH AND LEFT IN AN OLDER BLACK DODGE HE WAS GIVEN SOME CASH AND LEFT IN AN OLDER BLACK DODGE HE WAS GIVEN SOME CASH AND LEFT IN AN OLDER BLACK DODGE NEON HE WAS GIVEN SOME CASH AND LEFT IN AN OLDER BLACK DODGE NEON SEDAN, HE WAS GIVEN SOME CASH AND LEFT IN AN OLDER BLACK DODGE NEON SEDAN, SIMILAR HE WAS GIVEN SOME CASH AND LEFT IN AN OLDER BLACK DODGE NEON SEDAN, SIMILAR TO HE WAS GIVEN SOME CASH AND LEFT IN AN OLDER BLACK DODGE NEON SEDAN, SIMILAR TO THE LEFT IN AN OLDER BLACK DODGE NEON SEDAN, SIMILAR TO THE LEFT IN
{ "pile_set_name": [ "YoutubeSubtitles", "YoutubeSubtitles" ] }
7,993,077
THE KENTUCKY DERBY LOOK LIKE FLASHY HAT AND FASCINATED'S THIS IS WHAT THE KENTUCKY DERBY LOOK LIKE FLASHY HAT AND FASCINATED'S FOR THIS IS WHAT THE KENTUCKY DERBY LOOK LIKE FLASHY HAT AND FASCINATED'S FOR THE THIS IS WHAT THE KENTUCKY DERBY LOOK LIKE FLASHY HAT AND FASCINATED'S FOR THE WOMEN LOOK LIKE FLASHY HAT AND FASCINATED'S FOR THE WOMEN LOOK LIKE FLASHY HAT AND FASCINATED'S FOR THE WOMEN UNIQUE LOOK LIKE FLASHY HAT AND FASCINATED'S FOR THE WOMEN UNIQUE SUITS LOOK LIKE FLASHY HAT AND FASCINATED'S FOR THE WOMEN UNIQUE SUITS FOR LOOK LIKE FLASHY HAT AND FASCINATED'S FOR THE WOMEN UNIQUE SUITS FOR THE LOOK LIKE FLASHY HAT AND FASCINATED'S FOR THE WOMEN UNIQUE SUITS FOR THE MID-AND FASCINATED'S FOR THE WOMEN UNIQUE SUITS FOR THE MID-AND FASCINATED'S FOR THE WOMEN UNIQUE SUITS FOR THE MID-AND BEAUTIFUL FASCINATED'S FOR THE WOMEN UNIQUE SUITS FOR THE MID-AND BEAUTIFUL POWERFUL FASCINATED'S FOR THE WOMEN UNIQUE SUITS FOR THE MID-AND BEAUTIFUL POWERFUL THOROUGHBRED. UNIQUE SUITS FOR THE MID-AND BEAUTIFUL POWERFULTHOROUGHBRED. UNIQUE SUITS FOR THE MID-AND BEAUTIFUL POWERFUL THOROUGHBRED. THE UNIQUE SUITS FOR THE MID-AND BEAUTIFUL POWERFUL THOROUGHBRED. THE JOCKEYS UNIQUE SUITS FOR THE MID-AND BEAUTIFUL POWERFUL THOROUGHBRED. THE JOCKEYS ARE UNIQUE SUITS FOR THE MID-AND BEAUTIFUL POWERFUL THOROUGHBRED. THE JOCKEYS ARE ALSO UNIQUE SUITS FOR THE MID-AND BEAUTIFUL POWERFUL THOROUGHBRED. THE JOCKEYS ARE ALSO A UNIQUE SUITS FOR THE MID-AND BEAUTIFUL POWERFUL THOROUGHBRED. THE JOCKEYS ARE ALSO A MAIN BEAUTIFUL POWERFUL THOROUGHBRED. THE JOCKEYS ARE ALSO A MAIN BEAUTIFUL POWERFUL THOROUGHBRED. THE JOCKEYS ARE ALSO A MAIN ATTRACTION BEAUTIFUL POWERFUL THOROUGHBRED. THE JOCKEYS ARE ALSO A MAIN ATTRACTION WITH BEAUTIFUL POWERFUL THOROUGHBRED. THE JOCKEYS ARE ALSO A MAIN ATTRACTION WITH MUCH BEAUTIFUL POWERFUL THOROUGHBRED. THE JOCKEYS ARE ALSO A MAIN ATTRACTION WITH MUCH DIFFERENT THE JOCKEYS ARE ALSO A MAIN ATTRACTION WITH MUCH DIFFERENT THE JOCKEYS ARE ALSO A MAIN ATTRACTION WITH MUCH DIFFERENT THAN THE JOCKEYS ARE ALSO A MAIN ATTRACTION WITH MUCH DIFFERENT THAN THESE THE JOCKEYS ARE ALSO A MAIN ATTRACTION WITH MUCH DIFFERENT THAN THESE TWO THE
{ "pile_set_name": [ "YoutubeSubtitles", "YoutubeSubtitles" ] }
46,257,633
PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos trace: propertyUpdated( 19 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos trace: propertyUpdated( 20 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos trace: propertyUpdated( 22 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos trace: propertyUpdated( 25 , BLOCK , CHILDREN ) : NO_CHANGES Xcos info: objectCreated( 28 , BLOCK ) Xcos info: objectCloned( 13 , 28 , BLOCK ) Xcos debug: propertyUpdated( 28 , BLOCK , SIM_FUNCTION_API ) : SUCCESS Xcos trace: propertyUpdated( 28 , BLOCK , DESCRIPTION ) : NO_CHANGES Xcos debug: propertyUpdated( 28 , BLOCK , INTERFACE_FUNCTION ) : SUCCESS Xcos debug: propertyUpdated( 28 , BLOCK , SIM_FUNCTION_NAME ) : SUCCESS Xcos trace: propertyUpdated( 28 ,BLOCK , SIM_BLOCKTYPE ) : NO_CHANGES Xcos trace: propertyUpdated( 28 , BLOCK , UID ) : NO_CHANGES Xcos trace: propertyUpdated( 28 , BLOCK , STYLE ) : NO_CHANGES Xcos debug: propertyUpdated( 28 , BLOCK , GEOMETRY ) : SUCCESS Xcos debug: propertyUpdated( 28 , BLOCK , EXPRS ) : SUCCESS Xcos trace: propertyUpdated( 28 , BLOCK , STATE ) : NO_CHANGES Xcos trace: propertyUpdated( 28 , BLOCK , DSTATE ) : NO_CHANGES Xcos trace: propertyUpdated( 28 , BLOCK , ODSTATE ) : NO_CHANGES Xcos debug: propertyUpdated( 28 , BLOCK , RPAR ) : SUCCESS Xcos trace: propertyUpdated( 28 , BLOCK , OPAR ) : NO_CHANGES Xcos trace: propertyUpdated( 28 , BLOCK , EQUATIONS ) : NO_CHANGES Xcos debug:
{ "pile_set_name": [ "Github", "Github" ] }
47,297,269
| Medium | | 113 | [路径总和 II](../../problems/path-sum-ii) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 112 | [路径总和](../../problems/path-sum) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Easy | | 111 | [二叉树的最小深度](../../problems/minimum-depth-of-binary-tree) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] [[广度优先搜索](../breadth-first-search/README.md)] | Easy | | 110 | [平衡二叉树](../../problems/balanced-binary-tree) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Easy | | 108 | [将有序数组转换为二叉搜索树](../../problems/convert-sorted-array-to-binary-search-tree) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Easy | | 107 | [二叉树的层次遍历 II](../../problems/binary-tree-level-order-traversal-ii) | [[树](../tree/README.md)] [[广度优先搜索](../breadth-first-search/README.md)] | Easy | | 106 | [从中序与后序遍历序列构造二叉树](../../problems/construct-binary-tree-from-inorder-and-postorder-traversal) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] [[数组](../array/README.md)] | Medium | | 105 | [从前序与中序遍历序列构造二叉树](../../problems/construct-binary-tree-from-preorder-and-inorder-traversal) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] [[数组](../array/README.md)] | Medium | | 104 | [二叉树的最大深度](../../problems/maximum-depth-of-binary-tree) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Easy | | 103 | [二叉树的锯齿形层次遍历](../../problems/binary-tree-zigzag-level-order-traversal) | [[栈](../stack/README.md)] [[树](../tree/README.md)] [[广度优先搜索](../breadth-first-search/README.md)] | Medium | | 102 | [二叉树的层序遍历](../../problems/binary-tree-level-order-traversal) | [[树](../tree/README.md)] [[广度优先搜索](../breadth-first-search/README.md)] | Medium | | 101 | [对称二叉树](../../problems/symmetric-tree) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] [[广度优先搜索](../breadth-first-search/README.md)] |Easy | | 100 | [相同的树](../../problems/same-tree) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Easy | | 99 | [恢复二叉搜索树](../../problems/recover-binary-search-tree) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Hard | | 98 | [验证二叉搜索树](../../problems/validate-binary-search-tree) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 96 | [不同的二叉搜索树](../../problems/unique-binary-search-trees) | [[树](../tree/README.md)] [[动态规划](../dynamic-programming/README.md)] | Medium | | 95 | [不同的二叉搜索树 II](../../problems/unique-binary-search-trees-ii) | [[树](../tree/README.md)] [[动态规划](../dynamic-programming/README.md)] | Medium | | 94 | [二叉树的中序遍历](../../problems/binary-tree-inorder-traversal) | [[栈](../stack/README.md)] [[树](../tree/README.md)] [[哈希表](../hash-table/README.md)] | Medium |
{ "pile_set_name": [ "Github", "Github" ] }
5,572,109
: SUCCESS Xcos debug: propertyUpdated( 6 , BLOCK , GEOMETRY ) : SUCCESS Xcos debug: propertyUpdated( 6 , BLOCK , EXPRS ) : SUCCESS Xcos info: objectCreated( 7 , PORT ) Xcos debug: propertyUpdated( 7 , PORT , SOURCE_BLOCK ) : SUCCESS Xcos debug: propertyUpdated( 7 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated( 7 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos info: objectCreated( 8 , PORT ) Xcos debug: propertyUpdated( 8 , PORT , SOURCE_BLOCK ) : SUCCESS Xcos debug: propertyUpdated( 8 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated( 8 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos debug: propertyUpdated( 6 , BLOCK , INPUTS ) : SUCCESS Xcosinfo: objectCreated( 9 , PORT ) Xcos debug: propertyUpdated( 9 , PORT , SOURCE_BLOCK ) : SUCCESS Xcos debug: propertyUpdated( 9 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated( 9 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos debug: propertyUpdated( 6 , BLOCK , OUTPUTS ) : SUCCESS Xcos trace: propertyUpdated( 6 , BLOCK , DESCRIPTION ) : NO_CHANGES Xcos trace: propertyUpdated( 7 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: propertyUpdated( 8 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: propertyUpdated( 9 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: objectUnreferenced( 6 , BLOCK ) : 0 Xcos trace: objectReferenced( 6 , BLOCK ) : 1 Xcos debug:
{ "pile_set_name": [ "Github", "Github" ] }
47,297,236
propertyUpdated( 30 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: propertyUpdated( 30 , PORT , UID ) : NO_CHANGES Xcos trace: propertyUpdated( 30 , PORT , STYLE ) : NO_CHANGES Xcos trace: propertyUpdated( 30 , PORT , LABEL ) : NO_CHANGES Xcos debug: propertyUpdated( 30 , PORT , DATATYPE ) : SUCCESS Xcos debug: propertyUpdated( 30 , PORT , SOURCE_BLOCK ) : SUCCESS Xcos trace: propertyUpdated( 30 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos debug: propertyUpdated( 28 , BLOCK , INPUTS ) : SUCCESS Xcos info: objectCreated( 31 , PORT ) Xcos info: objectCloned( 16 , 31 , PORT ) Xcos trace: propertyUpdated( 31 , PORT , FIRING ) : NO_CHANGES Xcos debug: propertyUpdated( 31 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated( 31 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: propertyUpdated( 31 , PORT , UID ) : NO_CHANGES Xcos trace: propertyUpdated( 31 , PORT , STYLE ) : NO_CHANGES Xcos trace: propertyUpdated( 31 , PORT , LABEL ) : NO_CHANGES Xcos debug: propertyUpdated( 31 , PORT , DATATYPE ) : SUCCESS Xcos debug: propertyUpdated( 31 , PORT , SOURCE_BLOCK ) : SUCCESS Xcos trace: propertyUpdated( 31 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos debug: propertyUpdated( 28 , BLOCK , OUTPUTS ) : SUCCESS Xcos trace: propertyUpdated( 28 , BLOCK , EVENT_INPUTS ) : NO_CHANGES Xcos trace: propertyUpdated( 28 , BLOCK , EVENT_OUTPUTS )
{ "pile_set_name": [ "Github", "Github" ] }
47,297,273
Million) Table 181 France: Bone-Graft Substitutes Market, By Type, 2016�2023 (USD Million) Table 182 France: Biosurgery Market, By Application, 2016�2023 (USD Million) Table 183 Italy: Key Macroindicators for the Biosurgery Market Table 184 Italy: Biosurgery Market, By Product, 2016�2023 (USD Million) Table 185 Italy: Surgical Sealants and Adhesives Market, By Type, 2016�2023 (USD Million) Table 186 Italy: Natural/Biological Sealants Market, By Type, 2016�2023 (USD Million) Table 187 Italy: Natural/Biological Sealants Market, By Origin, 2016�2023 (USD Million) Table 188 Italy: Synthetic and Semi-Synthetic Sealants Market, By Type, 2016�2023 (USD Million) Table 189 Italy: Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 190 Italy: Natural Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 191 Italy: Synthetic Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 192 Italy: Soft-Tissue Attachment Market, By Type, 2016�2023 (USD Million) Table 193 Italy: Biological Meshes Market,By Type, 2016�2023 (USD Million) Table 194 Italy: Bone-Graft Substitutes Market, By Type, 2016�2023 (USD Million) Table 195 Italy: Biosurgery Market, By Application, 2016�2023 (USD Million) Table 196 Spain: Key Macroindicators for the Biosurgery Market Table 197 Spain: Biosurgery Market, By Product, 2016�2023 (USD Million) Table 198 Spain: Surgical Sealants and Adhesives Market, By Type, 2016�2023 (USD Million) Table 199 Spain: Natural/Biological Sealants Market, By Type, 2016�2023 (USD Million) Table 200 Spain: Natural/Biological Sealants Market, By Origin, 2016�2023 (USD Million) Table 201 Spain: Synthetic and Semi-Synthetic Sealants Market, By Type, 2016�2023 (USD Million) Table 202 Spain: Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 203 Spain: Natural Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 204 Spain: Synthetic Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 205 Spain: Soft-Tissue Attachment Market, By Type, 2016�2023 (USD Million) Table 206
{ "pile_set_name": [ "OpenWebText2", "OpenWebText2" ] }
57,475,881
"WM_SETHOTKEY", "WM_GETHOTKEY", "UNKNOWN (52)", "UNKNOWN (53)", "UNKNOWN (54)", "WM_QUERYDRAGICON", "UNKNOWN (56)", "WM_COMPAREITEM", "UNKNOWN (58)", "UNKNOWN (59)", "UNKNOWN (60)", "WM_GETOBJECT", "UNKNOWN (62)", "UNKNOWN (63)", "UNKNOWN (64)", "WM_COMPACTING", "UNKNOWN (66)", "UNKNOWN (67)", "WM_COMMNOTIFY", "UNKNOWN (69)", "WM_WINDOWPOSCHANGING", "WM_WINDOWPOSCHANGED", "WM_POWER", "UNKNOWN (73)", "WM_COPYDATA", "WM_CANCELJOURNAL", "UNKNOWN (76)", "UNKNOWN (77)", "WM_NOTIFY", "UNKNOWN (79)", "WM_INPUTLANGCHANGEREQUEST", "WM_INPUTLANGCHANGE", "WM_TCARD", "WM_HELP", "WM_USERCHANGED", "WM_NOTIFYFORMAT", "UNKNOWN (86)", "UNKNOWN (87)", "UNKNOWN (88)", "UNKNOWN (89)", "UNKNOWN (90)", "UNKNOWN (91)", "UNKNOWN (92)", "UNKNOWN (93)", "UNKNOWN (94)", "UNKNOWN (95)", "UNKNOWN (96)", "UNKNOWN (97)", "UNKNOWN (98)", "UNKNOWN (99)", "UNKNOWN (100)", "UNKNOWN (101)", "UNKNOWN (102)", "UNKNOWN (103)", "UNKNOWN (104)",
{ "pile_set_name": [ "Github", "Github" ] }
44,433,700
"type": "BYTES" } ], "stringDomain": [ { "name": "query", "value": [ "SELECT count(*) WHERE {\n?x0 a ns:film.actor .\nM1 ns:film.film.directed_by ?x0 .\nM1 ns:film.film.edited_by ?x0 .\nM1 ns:film.film.executive_produced_by ?x0 .\nM1 ns:film.film.produced_by|ns:film.film.production_companies ?x0 .\nM1 ns:film.film.written_by ?x0 .\nM2 ns:film.film.directed_by ?x0 .\nM2 ns:film.film.edited_by ?x0 .\nM2 ns:film.film.executive_produced_by ?x0 .\nM2 ns:film.film.produced_by|ns:film.film.production_companies ?x0 .\nM2 ns:film.film.written_by ?x0\n}", "SELECT count(*) WHERE {\n?x0 a ns:film.cinematographer .\nM1 ns:film.film.directed_by ?x0 .\nM1 ns:film.film.edited_by ?x0 .\nM1 ns:film.film.executive_produced_by ?x0 .\nM1 ns:film.film.produced_by|ns:film.film.production_companies ?x0 .\nM1 ns:film.film.written_by ?x0 .\nM2 ns:film.film.directed_by ?x0 .\nM2 ns:film.film.edited_by ?x0 .\nM2 ns:film.film.executive_produced_by ?x0 .\nM2 ns:film.film.produced_by|ns:film.film.production_companies?x0 .\nM2 ns:film.film.written_by ?x0\n}", "SELECT count(*) WHERE {\n?x0 a ns:film.director .\nM1 ns:film.film.directed_by ?x0 .\nM1 ns:film.film.edited_by ?x0 .\nM1 ns:film.film.executive_produced_by ?x0 .\nM1 ns:film.film.produced_by|ns:film.film.production_companies ?x0 .\nM1 ns:film.film.written_by ?x0 .\nM2 ns:film.film.directed_by ?x0 .\nM2 ns:film.film.edited_by ?x0 .\nM2 ns:film.film.executive_produced_by ?x0 .\nM2 ns:film.film.produced_by|ns:film.film.production_companies ?x0 .\nM2 ns:film.film.written_by ?x0\n}", "SELECT count(*) WHERE {\n?x0 a ns:film.director .\nM1 ns:film.film.directed_by ?x0 .\nM1 ns:film.film.edited_by ?x0 .\nM1 ns:film.film.executive_produced_by ?x0 .\nM1 ns:film.film.produced_by|ns:film.film.production_companies ?x0 .\nM1 ns:film.film.written_by ?x0 .\nM2 ns:film.film.directed_by ?x0 .\nM2 ns:film.film.edited_by ?x0 .\nM2 ns:film.film.executive_produced_by ?x0 .\nM2 ns:film.film.produced_by|ns:film.film.production_companies ?x0 .\nM2 ns:film.film.written_by ?x0 .\nM3 ns:film.film.directed_by ?x0 .\nM3 ns:film.film.edited_by ?x0 .\nM3 ns:film.film.executive_produced_by ?x0 .\nM3 ns:film.film.produced_by|ns:film.film.production_companies ?x0 .\nM3 ns:film.film.written_by ?x0\n}", "SELECT count(*) WHERE {\n?x0 a ns:film.editor .\nM1 ns:film.film.directed_by ?x0 .\nM1
{ "pile_set_name": [ "Github", "Github" ] }
835,135
PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos debug: propertyUpdated( 21 , BLOCK , OUTPUTS ) : SUCCESS Xcos trace: propertyUpdated( 21 , BLOCK , EVENT_INPUTS ) : NO_CHANGES Xcos trace: propertyUpdated( 21 , BLOCK , EVENT_OUTPUTS ) : NO_CHANGES Xcos debug: propertyUpdated( 21 , BLOCK , PARENT_BLOCK ) : SUCCESS Xcos trace: propertyUpdated( 24 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos trace: propertyUpdated( 23 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos trace: propertyUpdated( 19 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos trace: propertyUpdated( 20 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos trace: propertyUpdated( 22 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos trace: propertyUpdated( 21 , BLOCK , CHILDREN ) : NO_CHANGES Xcos info: objectCreated( 25 , BLOCK ) Xcos info: objectCloned( 10 , 25 , BLOCK ) Xcos trace: propertyUpdated( 25 , BLOCK , SIM_FUNCTION_API ) : NO_CHANGES Xcos trace: propertyUpdated( 25 , BLOCK , DESCRIPTION ) : NO_CHANGES Xcos debug: propertyUpdated( 25 , BLOCK , INTERFACE_FUNCTION ) : SUCCESS Xcos debug: propertyUpdated( 25 , BLOCK , SIM_FUNCTION_NAME ) : SUCCESS Xcos trace: propertyUpdated( 25 , BLOCK , SIM_BLOCKTYPE ) : NO_CHANGES Xcos trace: propertyUpdated( 25 , BLOCK , UID ) : NO_CHANGES Xcos trace: propertyUpdated( 25 , BLOCK , STYLE ) : NO_CHANGES Xcos debug: propertyUpdated( 25 , BLOCK , GEOMETRY ) : SUCCESS Xcos debug: propertyUpdated( 25 , BLOCK , EXPRS ) : SUCCESS Xcos trace:
{ "pile_set_name": [ "Github", "Github" ] }
47,297,263
By Application, 2016�2023 (USD Million) Table 131 Europe: Market, By Country, 2016�2023 (USD Million) Table 132 Europe: Market, By Product, 2016�2023 (USD Million) Table 133 Europe: Surgical Sealants & Adhesives Market, By Type, 2016�2023 (USD Million) Table 134 Europe: Natural/Biological Sealants Market, By Type, 2016�2023 (USD Million) Table 135 Europe: Natural/Biological Sealants Market, By Origin, 2016�2023 (USD Million) Table 136 Europe: Synthetic & Semi-Synthetic Sealants Market, By Type, 2016�2023 (USD Million) Table 137 Europe: Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 138 Europe: Natural Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 139 Europe: Synthetic Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 140 Europe: Soft-Tissue Attachments Market, By Type, 2016�2023 (USD Million) Table 141 Europe: Biological Meshes Market, By Type, 2016�2023 (USD Million) Table 142 Europe: Bone-Graft Substitutes Market, By Type, 2016�2023 (USD Million) Table 143Europe: Biosurgery Market, By Application, 2016�2023 (USD Million) Table 144 Germany: Key Macroindicators for the Biosurgery Market Table 145 Germany: Biosurgery Market, By Product, 2016�2023 (USD Million) Table 146 Germany: Surgical Sealants & Adhesives Market, By Type, 2016�2023 (USD Million) Table 147 Germany: Natural/Biological Sealants Market, By Type, 2016�2023 (USD Million) Table 148 Germany: Natural/Biological Sealants Market, By Origin, 2016�2023 (USD Million) Table 149 Germany: Synthetic & Semi-Synthetic Sealants Market, By Type, 2016�2023 (USD Million) Table 150 Germany: Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 151 Germany: Natural Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 152 Germany: Synthetic Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 153 Germany: Soft-Tissue Attachments Market, By Type, 2016�2023 (USD Million) Table 154 Germany: Biological Meshes Market, By Type, 2016�2023 (USD Million) Table 155 Germany: Bone-Graft Substitutes Market, By Type,
{ "pile_set_name": [ "OpenWebText2", "OpenWebText2" ] }
57,475,877
propertyUpdated( 10 , BLOCK , EVENT_OUTPUTS ) : NO_CHANGES Xcos info: objectDeleted( 12 , PORT ) Xcos info: objectDeleted( 10 , BLOCK ) Xcos debug: propertyUpdated( 2 , BLOCK , CHILDREN ) : SUCCESS Xcos debug: propertyUpdated( 13 , BLOCK , INPUTS ) : SUCCESS Xcos trace: propertyUpdated( 13 , BLOCK , OUTPUTS ) : NO_CHANGES Xcos trace: propertyUpdated( 13 , BLOCK , EVENT_INPUTS ) : NO_CHANGES Xcos trace: propertyUpdated( 13 , BLOCK , EVENT_OUTPUTS ) : NO_CHANGES Xcos info: objectDeleted( 14 , PORT ) Xcos debug: propertyUpdated( 13 , BLOCK , INPUTS ) : SUCCESS Xcos trace: propertyUpdated( 13 , BLOCK , OUTPUTS ) : NO_CHANGES Xcos trace: propertyUpdated( 13 , BLOCK, EVENT_INPUTS ) : NO_CHANGES Xcos trace: propertyUpdated( 13 , BLOCK , EVENT_OUTPUTS ) : NO_CHANGES Xcos info: objectDeleted( 15 , PORT ) Xcos trace: propertyUpdated( 13 , BLOCK , INPUTS ) : NO_CHANGES Xcos debug: propertyUpdated( 13 , BLOCK , OUTPUTS ) : SUCCESS Xcos trace: propertyUpdated( 13 , BLOCK , EVENT_INPUTS ) : NO_CHANGES Xcos trace: propertyUpdated( 13 , BLOCK , EVENT_OUTPUTS ) : NO_CHANGES Xcos info: objectDeleted( 16 , PORT ) Xcos info: objectDeleted( 13 , BLOCK ) Xcos info: objectDeleted( 2 , BLOCK ) // Check that all the model items are freed clear Xcos debug: propertyUpdated( 17 , BLOCK , PARENT_DIAGRAM ) : SUCCESS Xcos debug: propertyUpdated( 17 , BLOCK
{ "pile_set_name": [ "Github", "Github" ] }
47,297,281
objectCreated( 19 , PORT ) Xcos info: objectCloned( 4 , 19 , PORT ) Xcos trace: propertyUpdated( 19 , PORT , FIRING ) : NO_CHANGES Xcos debug: propertyUpdated( 19 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated( 19 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: propertyUpdated( 19 , PORT , UID ) : NO_CHANGES Xcos trace: propertyUpdated( 19 , PORT , STYLE ) : NO_CHANGES Xcos trace: propertyUpdated( 19 , PORT , LABEL ) : NO_CHANGES Xcos debug: propertyUpdated( 19 , PORT , DATATYPE ) : SUCCESS Xcos debug: propertyUpdated( 19 , PORT , SOURCE_BLOCK ) : SUCCESS Xcos trace: propertyUpdated( 19 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos debug: propertyUpdated( 18 , BLOCK , INPUTS ) : SUCCESS Xcos info: objectCreated( 20 , PORT ) Xcos info: objectCloned( 5 , 20 , PORT ) Xcos trace: propertyUpdated( 20 , PORT , FIRING ) : NO_CHANGES Xcos debug: propertyUpdated( 20 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated( 20 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: propertyUpdated( 20 , PORT , UID ) : NO_CHANGES Xcos trace: propertyUpdated( 20 , PORT , STYLE ) : NO_CHANGES Xcos trace: propertyUpdated( 20 , PORT , LABEL ) : NO_CHANGES Xcos debug: propertyUpdated( 20 , PORT , DATATYPE ) : SUCCESS Xcos debug: propertyUpdated( 20 , PORT , SOURCE_BLOCK ) : SUCCESS Xcos trace:
{ "pile_set_name": [ "Github", "Github" ] }
47,297,255
(USD Million) Table 94 North America: Surgical Sealants & Adhesives Market, By Type, 2016�2023 (USD Million) Table 95 North America: Natural/Biological Sealants Market, By Type, 2016�2023 (USD Million) Table 96 North America: Natural/Biological Sealants Market, By Origin, 2016�2023 (USD Million) Table 97 North America: Synthetic & Semi-Synthetic Sealants Market, By Type, 2016�2023 (USD Million) Table 98 North America: Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 99 North America: Natural Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 100 North America: Synthetic Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 101 North America: Soft-Tissue Attachments Market, By Type, 2016�2023 (USD Million) Table 102 North America: Biological Meshes Market, By Type, 2016�2023 (USD Million) Table 103 North America: Bone-Graft Substitutes Market, By Type, 2016�2023 (USD Million) Table 104 North America: Biosurgery Market, By Application, 2016�2023 (USD Million) Table(USD Million) Table 118 Canada: Key Macroindicators for the Biosurgery Market Table 119 Canada: Market, By Product, 2016�2023 (USD Million) Table 120 Canada: Surgical Sealants & Adhesives Market, By Type, 2016�2023 (USD Million) Table 121 Canada: Natural/Biological Sealants Market, By Type, 2016�2023 (USD Million) Table 122 Canada: Natural/Biological Sealants Market, By Origin, 2016�2023 (USD Million) Table 123 Canada: Synthetic & Semi-Synthetic Sealants Market, By Type, 2016�2023 (USD Million) Table 124 Canada: Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 125 Canada: Natural Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 126 Canada: Synthetic Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 127 Canada: Soft-Tissue Attachments Market, By Type, 2016�2023 (USD Million) Table 128 Canada: Biological Meshes Market, By Type, 2016�2023 (USD Million) Table 129 Canada: Bone-Graft Substitutes Market, By Type, 2016�2023 (USD Million) Table 130 Canada: Biosurgery Market,
{ "pile_set_name": [ "OpenWebText2", "OpenWebText2" ] }
57,475,874
(236 . "fr_CF") (237 . "fr_CM") (241 . "fr_GA") (242 . "fr_CG") (243 . "sw_ZR") (244 . "pt_AO") (245 . "pt_GW") (249 . "ar_SD") (250 . "fr_RW") (251 . "am_ET") (252 . "so_SO") (253 . "fr_DJ") (254 . "sw_KE") (255 . "sw_TZ") (256 . "en_UG") (257 . "fr_BI") (259 . "pt_MZ") (260 . "en_ZM") (261 . "mg_MG") (263 . "en_ZW") (264 . "en_NA") (597 . "nl_SR") (598 . "es_UY") (785 . "ar" ) (804 . "uk_UA") (850 . "ko_KP") (855 . "km_KH") (856 . "lo_LA") (880 . "bn_BD") (886 . "zh_TW") (960 . "dv_MV") (961 . "ar_LB") (962 . "ar_JO") (963 . "ar_SY") (964 . "ar_IQ") (965 . "ar_KW") (966 . "ar_SA") (967 . "ar_YE") (968 . "ar_OM") (969 . "ar_YE") (971 . "ar_AE") (972 .
{ "pile_set_name": [ "Github", "Github" ] }
49,585,805
'somalo (Etiopia)' so_DJ: 'somalo (Gibuti)' so_KE: 'somalo (Kenya)' so_SO: 'somalo (Somalia)' es: spagnolo es_AR: 'spagnolo (Argentina)' es_BO: 'spagnolo (Bolivia)' es_EA: 'spagnolo (Ceuta e Melilla)' es_CL: 'spagnolo (Cile)' es_CO: 'spagnolo (Colombia)' es_CR: 'spagnolo (Costa Rica)' es_CU: 'spagnolo (Cuba)' es_EC: 'spagnolo (Ecuador)' es_SV: 'spagnolo (El Salvador)' es_PH: 'spagnolo (Filippine)' es_GT: 'spagnolo (Guatemala)' es_GQ: 'spagnolo (Guinea Equatoriale)' es_HN: 'spagnolo (Honduras)' es_IC: 'spagnolo (Isole Canarie)' es_MX: 'spagnolo (Messico)' es_NI: 'spagnolo (Nicaragua)' es_PA: 'spagnolo (Panamá)' es_PY: 'spagnolo (Paraguay)' es_PE: 'spagnolo (Perù)' es_PR: 'spagnolo (Portorico)' es_DO: 'spagnolo (Repubblica Dominicana)' es_ES: 'spagnolo (Spagna)' es_US: 'spagnolo (Stati Uniti)' es_UY: 'spagnolo (Uruguay)' es_VE: 'spagnolo (Venezuela)' sv: svedese sv_FI: 'svedese (Finlandia)' sv_AX: 'svedese (Isole Aland)' sv_SE: 'svedese (Svezia)' sw: swahili sw_KE: 'swahili (Kenya)' sw_TZ: 'swahili (Tanzania)' sw_UG: 'swahili (Uganda)' tl: tagalog tl_PH: 'tagalog (Filippine)' ta: tamil ta_IN: 'tamil (India)' ta_MY: 'tamil (Malesia)' ta_SG: 'tamil (Singapore)' ta_LK: 'tamil (Sri Lanka)' de: tedesco de_AT: 'tedesco (Austria)' de_BE: 'tedesco (Belgio)' de_DE: 'tedesco (Germania)' de_LI: 'tedesco (Liechtenstein)' de_LU: 'tedesco (Lussemburgo)' de_CH: 'tedesco (Svizzera)' te: telugu te_IN: 'telugu (India)' th: thai th_TH: 'thai (Tailandia)' bo: tibetano bo_CN: 'tibetano (Cina)' bo_IN: 'tibetano (India)' ti: tigrino ti_ER: 'tigrino (Eritrea)' ti_ET: 'tigrino (Etiopia)' to: tongano to_TO: 'tongano (Tonga)' tr: turco tr_CY:'turco (Cipro)' tr_TR: 'turco (Turchia)' uk: ucraino uk_UA: 'ucraino (Ucraina)' ug: uiguro ug_Arab_CN: 'uiguro (arabo, Cina)' ug_Arab: 'uiguro (arabo)' ug_CN: 'uiguro (Cina)' hu: ungherese hu_HU: 'ungherese (Ungheria)' ur: urdu ur_IN: 'urdu (India)' ur_PK: 'urdu (Pakistan)' uz: usbeco uz_AF: 'usbeco (Afghanistan)' uz_Arab_AF: 'usbeco (arabo, Afghanistan)' uz_Arab: 'usbeco (arabo)' uz_Cyrl_UZ: 'usbeco (cirillico, Uzbekistan)' uz_Cyrl: 'usbeco (cirillico)' uz_Latn_UZ: 'usbeco (latino, Uzbekistan)' uz_Latn: 'usbeco (latino)' uz_UZ: 'usbeco (Uzbekistan)' vi: vietnamita vi_VN: 'vietnamita (Vietnam)' yi: yiddish yo: yoruba yo_BJ: 'yoruba (Benin)' yo_NG: 'yoruba (Nigeria)' zu: zulu zu_ZA: 'zulu (Sudafrica)'
{ "pile_set_name": [ "Github", "Github" ] }
54,996,419
35.52) – ( 52.47, 35.52) – ( 52.97, 35.52) – ( 53.45, 35.52) – ( 53.92, 35.52) – ( 54.37, 35.52) – ( 54.80, 35.52) – ( 55.22, 35.52) – ( 55.63, 35.52) – ( 56.02, 35.52) – ( 56.40, 35.52) – ( 56.77, 35.52) – ( 57.12, 35.52) – ( 57.47, 35.52) – ( 57.81, 35.52) – ( 58.14, 35.52) – ( 58.46, 35.52) – ( 58.77, 35.52) – ( 59.08, 35.52) – ( 59.38, 35.52) – ( 59.67, 35.52) – ( 59.95, 35.52) – ( 60.23, 35.52) – ( 60.50, 35.52) – ( 60.77, 35.53) – ( 61.03, 35.53) – ( 61.28, 35.53) – ( 61.53, 35.53) – ( 61.77, 35.53) – ( 62.01, 35.53) – ( 62.25, 35.53) – ( 62.48, 35.53) – ( 62.71,35.53) – ( 62.93, 35.53) – ( 63.15, 35.53) – ( 63.36, 35.53) – ( 63.57, 35.53) – ( 63.78, 35.53) – ( 63.98, 35.53) – ( 64.19, 35.53) – ( 64.38, 35.53) – ( 64.58, 35.53) – ( 64.77, 35.53) – ( 64.96, 35.53) – ( 65.14, 35.53) – ( 65.33, 35.53) – ( 65.51, 35.53) – ( 65.68, 35.53) – ( 65.86, 35.53) – ( 66.03, 35.53) – ( 66.20, 35.53) – ( 66.37, 35.53) – ( 66.54, 35.53) – ( 66.70, 35.53) – ( 66.86, 35.53) – ( 67.02, 35.53) – ( 67.18, 35.53) – ( 67.33, 35.53) – ( 67.49, 35.53) – ( 67.64, 35.53) – ( 67.79, 35.53) – ( 67.94, 35.53) – ( 68.08, 35.54) – ( 68.23, 35.54) – ( 68.37,
{ "pile_set_name": [ "ArXiv", "ArXiv" ] }
3,020,024
2012 and 2017: 35.2%; Eligible for retirement by 2012: 33.1%. Occupation: Actuary, PBGC; Eligible for retirement after 2017: 72.4%; Eligible for retirement between 2012 and 2017: 16.3%; Eligible for retirement by 2012: 11.2%. Occupation: Actuary, other federal agencies; Eligible for retirement after 2017: 37.8%; Eligible for retirement between 2012 and 2017: 31.3%; Eligible for retirement by 2012: 30.9%. Occupation: Attorney, PBGC; Eligible for retirement after 2017: 33.9%; Eligible for retirement between 2012 and 2017: 32.3%; Eligible for retirement by 2012: 33.9%. Occupation: Attorney, other federal agencies; Eligible for retirement after 2017: 41.5%; Eligible for retirement between 2012 and 2017: 31.1%; Eligible for retirement by 2012: 27.4%. Occupation: Auditor, PBGC; Eligible for retirement after 2017: 45.4%; Eligible for retirement between 2012 and 2017: 28.6%; Eligible for retirement by 2012: 26.1%. Occupation: Auditor, other federal agencies; Eligible for retirement after 2017: 42.4%; Eligible for retirement between 2012 and 2017: 29.6%; Eligible for retirement by 2012:28%. Occupation: Financial analyst, PBGC; Eligible for retirement after 2017: 45%; Eligible for retirement between 2012 and 2017: 27.5%; Eligible for retirement by 2012: 27.5%. Occupation: Financial analyst, other federal agencies; Eligible for retirement after 2017: 35.2%; Eligible for retirement between 2012 and 2017: 31.8%; Eligible for retirement by 2012: 33%. Occupation: Information technology specialist, PBGC; Eligible for retirement after 2017: 41.4%; Eligible for retirement between 2012 and 2017: 30.3%; Eligible for retirement by 2012: 28.3%. Occupation: Information technology specialist, other federal agencies; Eligible for retirement after 2017: 32.3%; Eligible for retirement between 2012 and 2017: 36.1%; Eligible for retirement by 2012: 31.6%. Occupation: Pension law specialist, PBGC; Eligible for retirement after 2017: 28.6%; Eligible for retirement between 2012 and 2017: 35.7%; Eligible for retirement by 2012: 35.7%. Occupation: Pension law specialist, other federal agencies; Eligible for retirement after 2017: 52.1%; Eligible for retirement between 2012 and 2017: 27.4%; Eligible for retirement
{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
46,415,660
pins */ TM_GPIO_InitAlternate(GPIOF, GPIO_PIN_0 | GPIO_PIN_1 | GPIO_PIN_2 | GPIO_PIN_3 | GPIO_PIN_4 | GPIO_PIN_5 | GPIO_PIN_11 | GPIO_PIN_12 | GPIO_PIN_13 | GPIO_PIN_14 | GPIO_PIN_15, TM_GPIO_OType_PP, TM_GPIO_PuPd_NOPULL, TM_GPIO_Speed_High, GPIO_AF_FMC); /* GPIOG pins */ TM_GPIO_InitAlternate(GPIOG, GPIO_PIN_0 | GPIO_PIN_1 | GPIO_PIN_4 | GPIO_PIN_5 | GPIO_PIN_8 | GPIO_PIN_15, TM_GPIO_OType_PP, TM_GPIO_PuPd_NOPULL, TM_GPIO_Speed_High, GPIO_AF_FMC); /* GPIOH pins */ TM_GPIO_InitAlternate(GPIOH, GPIO_PIN_2 | GPIO_PIN_3 | GPIO_PIN_5 | GPIO_PIN_8 | GPIO_PIN_9 | GPIO_PIN_10 | GPIO_PIN_11 | GPIO_PIN_12 | GPIO_PIN_13 | GPIO_PIN_14 | GPIO_PIN_15, TM_GPIO_OType_PP, TM_GPIO_PuPd_NOPULL, TM_GPIO_Speed_High, GPIO_AF_FMC); /* GPIOI pins */ TM_GPIO_InitAlternate(GPIOI, GPIO_PIN_0 | GPIO_PIN_1 | GPIO_PIN_2 | GPIO_PIN_3 | GPIO_PIN_4 | GPIO_PIN_5 | GPIO_PIN_6 | GPIO_PIN_7 | GPIO_PIN_9 | GPIO_PIN_10, TM_GPIO_OType_PP, TM_GPIO_PuPd_NOPULL, TM_GPIO_Speed_High, GPIO_AF_FMC); #else /* GPIOB pins */ TM_GPIO_InitAlternate(GPIOB, GPIO_PIN_5 | GPIO_PIN_6, TM_GPIO_OType_PP, TM_GPIO_PuPd_NOPULL, TM_GPIO_Speed_High, GPIO_AF_FMC); /* GPIOC pins */ TM_GPIO_InitAlternate(GPIOC, GPIO_PIN_0, TM_GPIO_OType_PP, TM_GPIO_PuPd_NOPULL, TM_GPIO_Speed_High, GPIO_AF_FMC); /* GPIOD pins */ TM_GPIO_InitAlternate(GPIOD, GPIO_PIN_0 | GPIO_PIN_1 | GPIO_PIN_8 | GPIO_PIN_9 |The YES Network, the Yankees' cable channel, will televise up to 10 Atlantic Coast Conference football games and as many as 23 ACC men's basketball games this season. YES announced the agreement with Fox Sports Media Group to show ACC sports on Thursday. The deal also includes the rights to some ACC women's basketball and Olympic sports. YES has an agreement with the Big East to televise up to 10 basketball games from the reborn basketball-focused conference that includes Georgetown, Villanova and Butler. The ACC deal with YES Network comes a few weeks after the conference announced a deal with the Pinstripe Bowl in Yankee Stadium that starts in 2014, and is part of a strategy to expand the league's presence in the New York media market.
{ "pile_set_name": [ "Github", "OpenWebText2" ] }
48,855,377
propertyUpdated( 25 , BLOCK , STATE ) : NO_CHANGES Xcos trace: propertyUpdated( 25 , BLOCK , DSTATE ) : NO_CHANGES Xcos trace: propertyUpdated( 25 , BLOCK , ODSTATE ) : NO_CHANGES Xcos debug: propertyUpdated( 25 , BLOCK , RPAR ) : SUCCESS Xcos trace: propertyUpdated( 25 , BLOCK , OPAR ) : NO_CHANGES Xcos trace: propertyUpdated( 25 , BLOCK , EQUATIONS ) : NO_CHANGES Xcos debug: propertyUpdated( 25 , BLOCK , SIM_DEP_UT ) : SUCCESS Xcos trace: propertyUpdated( 25 , BLOCK , NZCROSS ) : NO_CHANGES Xcos trace: propertyUpdated( 25 , BLOCK , NMODE ) : NO_CHANGES Xcos trace: propertyUpdated( 25 , BLOCK , IPAR ) : NO_CHANGES Xcos trace: propertyUpdated( 25 , BLOCK , COLOR ): NO_CHANGES Xcos trace: propertyUpdated( 25 , BLOCK , CONTEXT ) : NO_CHANGES Xcos trace: propertyUpdated( 25 , BLOCK , PARENT_DIAGRAM ) : NO_CHANGES Xcos info: objectCreated( 26 , PORT ) Xcos info: objectCloned( 11 , 26 , PORT ) Xcos trace: propertyUpdated( 26 , PORT , FIRING ) : NO_CHANGES Xcos debug: propertyUpdated( 26 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated( 26 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: propertyUpdated( 26 , PORT , UID ) : NO_CHANGES Xcos trace: propertyUpdated( 26 , PORT , STYLE ) : NO_CHANGES Xcos trace: propertyUpdated( 26 , PORT , LABEL ) : NO_CHANGES Xcos debug: propertyUpdated( 26 , PORT , DATATYPE )
{ "pile_set_name": [ "Github", "Github" ] }
47,297,265
15 JOCKEYS WERE BLACK, INCLUDING THE AFRICAN-AMERICAN DOMINATED THE RACE TRACK 13 OF 15 JOCKEYS WERE BLACK, INCLUDING THE ANY AFRICAN-AMERICAN DOMINATED THE RACE TRACK 13 OF 15 JOCKEYS WERE BLACK, INCLUDING THE ANY JOCKEY RACE TRACK 13 OF 15 JOCKEYS WERE BLACK, INCLUDING THE ANY JOCKEY RACE TRACK 13 OF 15 JOCKEYS WERE BLACK, INCLUDING THE ANY JOCKEY OLIVER RACE TRACK 13 OF 15 JOCKEYS WERE BLACK, INCLUDING THE ANY JOCKEY OLIVER LEWIS RACE TRACK 13 OF 15 JOCKEYS WERE BLACK, INCLUDING THE ANY JOCKEY OLIVER LEWIS AS RACE TRACK 13 OF 15 JOCKEYS WERE BLACK, INCLUDING THE ANY JOCKEY OLIVER LEWIS AS PART RACE TRACK 13 OF 15 JOCKEYS WERE BLACK, INCLUDING THE ANY JOCKEY OLIVER LEWIS AS PART OF RACE TRACK 13 OF 15 JOCKEYS WERE BLACK, INCLUDING THE ANY JOCKEY OLIVER LEWIS AS PART OF THE BLACK, INCLUDING THE ANY JOCKEY OLIVER LEWIS AS PART OF THE BLACK, INCLUDING THE ANY JOCKEY OLIVER LEWIS ASPART OF THE HISTORY BLACK, INCLUDING THE ANY JOCKEY OLIVER LEWIS AS PART OF THE HISTORY YOU BLACK, INCLUDING THE ANY JOCKEY OLIVER LEWIS AS PART OF THE HISTORY YOU CAN BLACK, INCLUDING THE ANY JOCKEY OLIVER LEWIS AS PART OF THE HISTORY YOU CAN LEARN BLACK, INCLUDING THE ANY JOCKEY OLIVER LEWIS AS PART OF THE HISTORY YOU CAN LEARN ABOUT BLACK, INCLUDING THE ANY JOCKEY OLIVER LEWIS AS PART OF THE HISTORY YOU CAN LEARN ABOUT AT OLIVER LEWIS AS PART OF THE HISTORY YOU CAN LEARN ABOUT AT OLIVER LEWIS AS PART OF THE HISTORY YOU CAN LEARN ABOUT AT THE OLIVER LEWIS AS PART OF THE HISTORY YOU CAN LEARN ABOUT AT THE KENTUCKY OLIVER LEWIS AS PART OF THE HISTORY YOU CAN LEARN ABOUT AT THE KENTUCKY DERBY. OLIVER LEWIS AS PART OF THE HISTORY YOU CAN LEARN ABOUT AT THE KENTUCKY DERBY. YOU OLIVER LEWIS AS PART OF THE HISTORY YOU CAN LEARN ABOUT
{ "pile_set_name": [ "YoutubeSubtitles", "YoutubeSubtitles" ] }
46,257,637
propertyUpdated( 20 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos debug: propertyUpdated( 18 , BLOCK , OUTPUTS ) : SUCCESS Xcos trace: propertyUpdated( 18 , BLOCK , EVENT_INPUTS ) : NO_CHANGES Xcos trace: propertyUpdated( 18 , BLOCK , EVENT_OUTPUTS ) : NO_CHANGES Xcos debug: propertyUpdated( 18 , BLOCK , PARENT_BLOCK ) : SUCCESS Xcos trace: propertyUpdated( 20 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos trace: propertyUpdated( 19 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos trace: propertyUpdated( 18 , BLOCK , CHILDREN ) : NO_CHANGES Xcos info: objectCreated( 21 , BLOCK ) Xcos info: objectCloned( 6 , 21 , BLOCK ) Xcos debug: propertyUpdated( 21 , BLOCK , SIM_FUNCTION_API ) : SUCCESS Xcos trace: propertyUpdated( 21 , BLOCK , DESCRIPTION ) : NO_CHANGES Xcos debug: propertyUpdated( 21 , BLOCK , INTERFACE_FUNCTION ) : SUCCESS Xcos debug: propertyUpdated( 21 , BLOCK , SIM_FUNCTION_NAME ) : SUCCESS Xcos trace: propertyUpdated( 21 , BLOCK , SIM_BLOCKTYPE ) : NO_CHANGES Xcos trace: propertyUpdated( 21 , BLOCK , UID ) : NO_CHANGES Xcos trace: propertyUpdated( 21 , BLOCK , STYLE ) : NO_CHANGES Xcos debug: propertyUpdated( 21 , BLOCK , GEOMETRY ) : SUCCESS Xcos debug: propertyUpdated( 21 , BLOCK , EXPRS ) : SUCCESS Xcos trace: propertyUpdated( 21 , BLOCK , STATE ) : NO_CHANGES Xcos trace: propertyUpdated( 21 , BLOCK , DSTATE ) : NO_CHANGES Xcos trace: propertyUpdated( 21 , BLOCK , ODSTATE )
{ "pile_set_name": [ "Github", "Github" ] }
47,297,257
Market, By Type, 2017�2025 (USD Million) Table 117 Spain: Laboratory Filtration Assemblies Market, By Type, 2017�2025 (USD Million) Table 118 Spain: Laboratory Filtration Accessories Market, By Type, 2017�2025 (USD Million) Table 119 Spain: Market, By Technique, 2017�2025 (USD Million) Table 120 Spain: Laboratory Filtration Market, By End User, 2017�2025 (USD Million) Table 121 RoE: Market, By Product, 2017�2025 (USD Million) Table 122 RoE: Laboratory Filtration Media Market, By Type, 2017�2025 (USD Million) Table 123 RoE: Laboratory Filtration Assemblies Market, By Type, 2017�2025 (USD Million) Table 124 RoE: Laboratory Filtration Accessories Market, By Type, 2017�2025 (USD Million) Table 125 RoE: Market, By Technique, 2017�2025 (USD Million) Table 126 RoE: Market, By End User, 2017�2025 (USD Million) Table 127 Asia Pacific: Laboratory Filtration Market, By Country, 2017�2025 (USD Million) Table 128 Asia Pacific: Market, By Product, 2017�2025 (USD Million) Table 129 Asia Pacific:Laboratory Filtration Media Market, By Type, 2017�2025 (USD Million) Table 130 Asia Pacific: Laboratory Filtration Assemblies Market, By Type, 2017�2025 (USD Million) Table 131 Asia Pacific: Laboratory Filtration Accessories Market, By Type, 2017�2025 (USD Million) Table 132 Asia Pacific: Laboratory Filtration Market, By Technique, 2017�2025 (USD Million) Table 133 Asia Pacific: Market, By End User, 2017�2025 (USD Million) Table 134 China: Market, By Product, 2017�2025 (USD Million) Table 135 China: Laboratory Filtration Media Market, By Type, 2017�2025 (USD Million) Table 136 China: Laboratory Filtration Assemblies Market, By Type, 2017�2025 (USD Million) Table 137 China: Laboratory Filtration Accessories Market, By Type, 2017�2025 (USD Million) Table 138 China: Laboratory Filtration Market, By Technique, 2017�2025 (USD Million) Table 139 China: Market, By End User, 2017�2025 (USD Million) Table 140 Japan: Market, By Product, 2017�2025 (USD Million) Table 141 Japan: Laboratory Filtration Media Market,
{ "pile_set_name": [ "OpenWebText2", "OpenWebText2" ] }
54,083,636
: SUCCESS Xcos trace: propertyUpdated( 18 , BLOCK , DESCRIPTION ) : NO_CHANGES Xcos debug: propertyUpdated( 18 , BLOCK , INTERFACE_FUNCTION ) : SUCCESS Xcos debug: propertyUpdated( 18 , BLOCK , SIM_FUNCTION_NAME ) : SUCCESS Xcos trace: propertyUpdated( 18 , BLOCK , SIM_BLOCKTYPE ) : NO_CHANGES Xcos trace: propertyUpdated( 18 , BLOCK , UID ) : NO_CHANGES Xcos trace: propertyUpdated( 18 , BLOCK , STYLE ) : NO_CHANGES Xcos debug: propertyUpdated( 18 , BLOCK , GEOMETRY ) : SUCCESS Xcos debug: propertyUpdated( 18 , BLOCK , EXPRS ) : SUCCESS Xcos trace: propertyUpdated( 18 , BLOCK , STATE ) : NO_CHANGES Xcos trace: propertyUpdated( 18 , BLOCK , DSTATE ) : NO_CHANGES Xcos trace: propertyUpdated( 18 ,BLOCK , ODSTATE ) : NO_CHANGES Xcos debug: propertyUpdated( 18 , BLOCK , RPAR ) : SUCCESS Xcos trace: propertyUpdated( 18 , BLOCK , OPAR ) : NO_CHANGES Xcos trace: propertyUpdated( 18 , BLOCK , EQUATIONS ) : NO_CHANGES Xcos debug: propertyUpdated( 18 , BLOCK , SIM_DEP_UT ) : SUCCESS Xcos trace: propertyUpdated( 18 , BLOCK , NZCROSS ) : NO_CHANGES Xcos trace: propertyUpdated( 18 , BLOCK , NMODE ) : NO_CHANGES Xcos debug: propertyUpdated( 18 , BLOCK , IPAR ) : SUCCESS Xcos trace: propertyUpdated( 18 , BLOCK , COLOR ) : NO_CHANGES Xcos trace: propertyUpdated( 18 , BLOCK , CONTEXT ) : NO_CHANGES Xcos trace: propertyUpdated( 18 , BLOCK , PARENT_DIAGRAM ) : NO_CHANGES Xcos info:
{ "pile_set_name": [ "Github", "Github" ] }
47,297,253
propertyUpdated( 22 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos debug: propertyUpdated( 17 , BLOCK , CHILDREN ) : SUCCESS Xcos trace: objectReferenced( 17 , BLOCK ) : 1 Xcos debug: propertyUpdated( 17 , BLOCK , PARENT_DIAGRAM ) : SUCCESS Xcos trace: propertyUpdated( 17 , BLOCK , PARENT_BLOCK ) : NO_CHANGES Xcos debug: propertyUpdated( 1 , DIAGRAM , CHILDREN ) : SUCCESS Xcos trace: objectUnreferenced( 17 , BLOCK ) : 0 Xcos debug: propertyUpdated( 2 , BLOCK , CHILDREN ) : SUCCESS Xcos debug: propertyUpdated( 3 , BLOCK , INPUTS ) : SUCCESS Xcos trace: propertyUpdated( 3 , BLOCK , OUTPUTS ) : NO_CHANGES Xcos trace: propertyUpdated( 3 , BLOCK , EVENT_INPUTS ) : NO_CHANGES Xcos trace: propertyUpdated( 3 , BLOCK , EVENT_OUTPUTS ) : NO_CHANGES Xcos info: objectDeleted( 4 , PORT ) Xcos trace: propertyUpdated( 3 , BLOCK , INPUTS ) : NO_CHANGES Xcos debug: propertyUpdated( 3 , BLOCK , OUTPUTS ) : SUCCESS Xcos trace: propertyUpdated( 3 , BLOCK , EVENT_INPUTS ) : NO_CHANGES Xcos trace: propertyUpdated( 3 , BLOCK , EVENT_OUTPUTS ) : NO_CHANGES Xcos info: objectDeleted( 5 , PORT ) Xcos info: objectDeleted( 3 , BLOCK ) Xcos debug: propertyUpdated( 2 , BLOCK , CHILDREN ) : SUCCESS Xcos debug: propertyUpdated( 6 , BLOCK , INPUTS ) : SUCCESS Xcos trace: propertyUpdated( 6 , BLOCK , OUTPUTS ) : NO_CHANGES Xcos trace: propertyUpdated( 6 , BLOCK
{ "pile_set_name": [ "Github", "Github" ] }
47,297,277
IN MODESTO BECAUSE THIS IS THE BANK POLICE SAY THE MAN >> REPORTER: WE'RE STARTING IN MODESTO BECAUSE THIS IS THE BANK POLICE SAY THE MAN WENT MODESTO BECAUSE THIS IS THE BANK POLICE SAY THE MAN WENT MODESTO BECAUSE THIS IS THE BANK POLICE SAY THE MAN WENT TO MODESTO BECAUSE THIS IS THE BANK POLICE SAY THE MAN WENT TO FIRST. BANK POLICE SAY THE MAN WENT TO FIRST. BANK POLICE SAY THE MAN WENT TO FIRST. TAKE BANK POLICE SAY THE MAN WENT TO FIRST. TAKE A BANK POLICE SAY THE MAN WENT TO FIRST. TAKE A GOOD BANK POLICE SAY THE MAN WENT TO FIRST. TAKE A GOOD LOOK BANK POLICE SAY THE MAN WENT TO FIRST. TAKE A GOOD LOOK AT BANK POLICE SAY THE MAN WENT TO FIRST. TAKE A GOOD LOOK AT THE BANK POLICE SAY THE MAN WENT TO FIRST. TAKE A GOOD LOOK AT THE PHOTO. TO FIRST. TAKE A GOOD LOOK AT THE PHOTO. TO FIRST. TAKE AA FAKE BEARD WALKED INTO THE BANK OF STOCKTON APPEARS TO BE A FAKE BEARD WALKED INTO THE BANK OF STOCKTON IN APPEARS TO BE A FAKE BEARD WALKED INTO THE BANK OF STOCKTON IN MODESTO APPEARS TO BE A FAKE BEARD WALKED INTO THE BANK OF STOCKTON IN MODESTO AND WALKED INTO THE BANK OF STOCKTON IN MODESTO AND WALKED INTO THE BANK OF STOCKTON IN MODESTO AND DEMANDED WALKED INTO THE BANK OF STOCKTON IN MODESTO AND DEMANDED MONEY. STOCKTON IN MODESTO AND DEMANDED MONEY. STOCKTON IN MODESTO AND DEMANDED MONEY. HE STOCKTON IN MODESTO AND DEMANDED MONEY. HE DIDN'T STOCKTON IN MODESTO AND DEMANDED MONEY. HE DIDN'T HAVE STOCKTON IN MODESTO AND DEMANDED MONEY. HE DIDN'T HAVE WEAPONS STOCKTON IN MODESTO AND DEMANDED MONEY. HE DIDN'T HAVE WEAPONS AND DEMANDED MONEY. HE DIDN'T HAVE WEAPONS AND DEMANDED MONEY. HE DIDN'T HAVE WEAPONS AND TOOK DEMANDED MONEY. HE DIDN'T HAVE WEAPONS AND TOOK OFF DEMANDED MONEY. HE DIDN'T HAVE WEAPONS AND TOOK OFF IN DEMANDED MONEY. HE DIDN'T HAVE WEAPONS AND TOOK OFF IN THIS DEMANDED MONEY. HE
{ "pile_set_name": [ "YoutubeSubtitles", "YoutubeSubtitles" ] }
7,993,064
"Store the base meaning of a word on the property list" (list 'put (list 'quote symb) ''doctor-meaning val)) (doctor-put-meaning howdy 'howdy) (doctor-put-meaning hi 'howdy) (doctor-put-meaning greetings 'howdy) (doctor-put-meaning hello 'howdy) (doctor-put-meaning tops20 'mach) (doctor-put-meaning tops-20 'mach) (doctor-put-meaning tops 'mach) (doctor-put-meaning pdp11 'mach) (doctor-put-meaning computer 'mach) (doctor-put-meaning unix 'mach) (doctor-put-meaning machine 'mach) (doctor-put-meaning computers 'mach) (doctor-put-meaning machines 'mach) (doctor-put-meaning pdp11s 'mach) (doctor-put-meaning foo 'mach) (doctor-put-meaning foobar 'mach) (doctor-put-meaning multics 'mach) (doctor-put-meaning macsyma 'mach) (doctor-put-meaning teletype 'mach) (doctor-put-meaning la36 'mach) (doctor-put-meaning vt52 'mach) (doctor-put-meaning zork 'mach) (doctor-put-meaning trek 'mach) (doctor-put-meaning startrek 'mach) (doctor-put-meaning advent 'mach) (doctor-put-meaning pdp 'mach) (doctor-put-meaning dec 'mach) (doctor-put-meaning commodore 'mach) (doctor-put-meaning vic 'mach) (doctor-put-meaning bbs 'mach) (doctor-put-meaning modem 'mach) (doctor-put-meaning baud 'mach) (doctor-put-meaning macintosh 'mach) (doctor-put-meaning vax 'mach) (doctor-put-meaning vms 'mach) (doctor-put-meaning ibm 'mach) (doctor-put-meaning pc 'mach) (doctor-put-meaning bitching 'foul) (doctor-put-meaning shit 'foul) (doctor-put-meaning bastard 'foul) (doctor-put-meaning damn 'foul) (doctor-put-meaning damned 'foul) (doctor-put-meaning hell 'foul) (doctor-put-meaning suck 'foul) (doctor-put-meaning sucking 'foul) (doctor-put-meaning sux 'foul) (doctor-put-meaning ass 'foul) (doctor-put-meaning whore 'foul) (doctor-put-meaning bitch 'foul) (doctor-put-meaning asshole 'foul) (doctor-put-meaning shrink 'foul) (doctor-put-meaning pot 'toke) (doctor-put-meaninggrass 'toke) (doctor-put-meaning weed 'toke) (doctor-put-meaning marijuana 'toke) (doctor-put-meaning acapulco 'toke) (doctor-put-meaning columbian 'toke) (doctor-put-meaning tokin 'toke) (doctor-put-meaning joint 'toke) (doctor-put-meaning toke 'toke) (doctor-put-meaning toking 'toke) (doctor-put-meaning tokin\' 'toke) (doctor-put-meaning toked 'toke) (doctor-put-meaning roach 'toke) (doctor-put-meaning pills 'drug) (doctor-put-meaning dope 'drug) (doctor-put-meaning acid 'drug) (doctor-put-meaning lsd 'drug) (doctor-put-meaning speed 'drug) (doctor-put-meaning heroine 'drug) (doctor-put-meaning hash 'drug) (doctor-put-meaning cocaine 'drug) (doctor-put-meaning uppers 'drug) (doctor-put-meaning downers 'drug) (doctor-put-meaning loves 'loves) (doctor-put-meaning love 'love) (doctor-put-meaning loved 'love) (doctor-put-meaning hates 'hates) (doctor-put-meaning dislikes 'hates) (doctor-put-meaning hate 'hate) (doctor-put-meaning hated 'hate) (doctor-put-meaning dislike 'hate) (doctor-put-meaning stoned 'state) (doctor-put-meaning drunk 'state) (doctor-put-meaning drunken 'state) (doctor-put-meaning high 'state) (doctor-put-meaning horny 'state) (doctor-put-meaning blasted 'state) (doctor-put-meaning happy 'state) (doctor-put-meaning paranoid 'state) (doctor-put-meaning wish 'desire) (doctor-put-meaning wishes 'desire) (doctor-put-meaning want 'desire) (doctor-put-meaning desire 'desire) (doctor-put-meaning like 'desire) (doctor-put-meaning hope 'desire) (doctor-put-meaning hopes 'desire) (doctor-put-meaning desires 'desire) (doctor-put-meaning wants 'desire) (doctor-put-meaning desires 'desire) (doctor-put-meaning likes 'desire) (doctor-put-meaning needs 'desire) (doctor-put-meaning need 'desire) (doctor-put-meaning frustrated 'mood) (doctor-put-meaning depressed 'mood) (doctor-put-meaning annoyed 'mood) (doctor-put-meaning upset 'mood) (doctor-put-meaning unhappy 'mood) (doctor-put-meaning excited 'mood) (doctor-put-meaning worried 'mood) (doctor-put-meaning lonely 'mood) (doctor-put-meaning angry 'mood) (doctor-put-meaning mad 'mood) (doctor-put-meaning pissed 'mood) (doctor-put-meaning jealous 'mood) (doctor-put-meaning afraid 'fear) (doctor-put-meaning
{ "pile_set_name": [ "Github", "Github" ] }
1,029,728
'backHat'; public const BACKEARS:String = 'backEars'; public var avatar:MovieClip; public var animations:Array = []; private var console:* = null; private var asset_provider:MovieClip; // below are for referncing the assets in use which are placed into the containers, only the ones which we will animate or allow custom placement/sizing private var eye_close:MovieClip; private var eye_offside:MovieClip; private var hat:MovieClip; private var back_hat:MovieClip; private var hair:MovieClip; private var back_hair:MovieClip; private var mouth:MovieClip; private var skirt:MovieClip; private var back_skirt:MovieClip; private var dress:MovieClip; private var back_dress:MovieClip; private var cape:MovieClip; private var back_cape:MovieClip; private var nose:MovieClip; private var ear_close:MovieClip; private var back_ears:MovieClip; // below are the clips we use to provide color private var skull_color:MovieClip; private var torso_color:MovieClip; private var arm_upper_close_color:MovieClip; private var arm_upper_offside_color:MovieClip; private var arm_lower_close_color:MovieClip; private var arm_lower_offside_color:MovieClip; private var hand_close_color:MovieClip; private var hand_offside_color:MovieClip; private var leg_upper_close_color:MovieClip; private var leg_upper_offside_color:MovieClip; private var leg_lower_close_color:MovieClip; private var leg_lower_offside_color:MovieClip; private var foot_close_color:MovieClip; private var foot_offside_color:MovieClip; private var back_skull_color:MovieClip; private var back_torso_color:MovieClip; private var back_arm_upper_left_color:MovieClip; private var back_arm_upper_right_color:MovieClip; private var back_arm_lower_left_color:MovieClip; private var back_arm_lower_right_color:MovieClip; private var back_hand_left_color:MovieClip; private var back_hand_right_color:MovieClip; private varIn 27 BC, 727 years after the founding of the city of Rome and in the second year of the 188th Olympiad, a momentous event happened, one that would change the world forever. The Roman Senate, the venerable institution that had been created in the legendary days of the first kings, proclaimed Octavian as Augustus. Feigning modesty, he accepted. Under this title, Octavian united all the executive powers in his hands, becoming the first emperor. Of slight build and originally from an obscure family, the adopted son of Julius Caesar became the most powerful man in the world. After almost 500 years of continuous history, the Roman Republic was no more. A remarkable achievement of human spirit, the Republic had survived many tumultuous events, presiding over the expansion of
{ "pile_set_name": [ "Github", "OpenWebText2" ] }
49,809,007
CHARACTER REMINDS HER OF HOME. HOME. HOME. >> HOME. >> THE HOME. >> THE FACT HOME. >> THE FACT SHE'S HOME. >> THE FACT SHE'S A HOME. >> THE FACT SHE'S A VERY HOME. >> THE FACT SHE'S A VERY STRONG >> THE FACT SHE'S A VERY STRONG >> THE FACT SHE'S A VERY STRONG SINGLE-PARENT, >> THE FACT SHE'S A VERY STRONG SINGLE-PARENT, WOMAN, >> THE FACT SHE'S A VERY STRONG SINGLE-PARENT, WOMAN, TRYING >> THE FACT SHE'S A VERY STRONG SINGLE-PARENT, WOMAN, TRYING TO SINGLE-PARENT, WOMAN, TRYING TO SINGLE-PARENT, WOMAN, TRYING TO SURVIVE, SINGLE-PARENT, WOMAN, TRYING TO SURVIVE, I'VE SINGLE-PARENT, WOMAN, TRYING TO SURVIVE, I'VE KNOWN SINGLE-PARENT, WOMAN, TRYING TO SURVIVE, I'VE KNOWN THIS SINGLE-PARENT, WOMAN, TRYING TO SURVIVE, I'VE KNOWN THIS WOMAN SURVIVE, I'VE KNOWN THIS WOMAN SURVIVE, I'VE KNOWN THIS WOMAN ALL SURVIVE, I'VE KNOWN THIS WOMAN ALL MY SURVIVE, I'VE KNOWN THIS WOMAN ALL MY LIFE. ALL MY LIFE. ALL MY LIFE. I'VE ALL MY LIFE. I'VE GROWN ALL MY LIFE. I'VE GROWN UP ALL MY LIFE. I'VE GROWN UP WITH ALL MY LIFE. I'VE GROWN UPWITH HER. I'VE GROWN UP WITH HER. I'VE GROWN UP WITH HER. AND I'VE GROWN UP WITH HER. AND I'M I'VE GROWN UP WITH HER. AND I'M SUCH I'VE GROWN UP WITH HER. AND I'M SUCH A I'VE GROWN UP WITH HER. AND I'M SUCH A HUGE I'VE GROWN UP WITH HER. AND I'M SUCH A HUGE FAN I'VE GROWN UP WITH HER. AND I'M SUCH A HUGE FAN OF I'VE GROWN UP WITH HER. AND I'M SUCH A HUGE FAN OF THE AND I'M SUCH A HUGE FAN OF THE AND I'M SUCH A HUGE FAN OF THE SHOW. SHOW. SHOW. >> SHOW. >> Reporter: SHOW. >> Reporter: IT SHOW. >> Reporter: IT PICKS SHOW. >> Reporter: IT PICKS UP SHOW. >> Reporter: IT PICKS UP AFTER >> Reporter: IT PICKS UP AFTER >> Reporter: IT PICKS UP AFTER THE >> Reporter: IT PICKS UP AFTER THE DEATH >> Reporter: IT PICKS UP AFTER THE DEATH OF >> Reporter: IT PICKS UP AFTER THE DEATH OF TERRY'S >> Reporter: IT
{ "pile_set_name": [ "YoutubeSubtitles", "YoutubeSubtitles" ] }
47,191,451
"PROMISE_RESOLVE_THENABLE_JOB_TASK_TYPE", 115: "INTERNAL_CLASS_TYPE", 116: "SMI_PAIR_TYPE", 117: "SMI_BOX_TYPE", 118: "SORT_STATE_TYPE", 119: "SOURCE_TEXT_MODULE_TYPE", 120: "SYNTHETIC_MODULE_TYPE", 121: "ALLOCATION_SITE_TYPE", 122: "EMBEDDER_DATA_ARRAY_TYPE", 123: "FIXED_ARRAY_TYPE", 124: "OBJECT_BOILERPLATE_DESCRIPTION_TYPE", 125: "CLOSURE_FEEDBACK_CELL_ARRAY_TYPE", 126: "HASH_TABLE_TYPE", 127: "ORDERED_HASH_MAP_TYPE", 128: "ORDERED_HASH_SET_TYPE", 129: "ORDERED_NAME_DICTIONARY_TYPE", 130: "NAME_DICTIONARY_TYPE", 131: "GLOBAL_DICTIONARY_TYPE", 132: "NUMBER_DICTIONARY_TYPE", 133: "SIMPLE_NUMBER_DICTIONARY_TYPE", 134: "STRING_TABLE_TYPE", 135: "EPHEMERON_HASH_TABLE_TYPE", 136: "SCOPE_INFO_TYPE", 137: "SCRIPT_CONTEXT_TABLE_TYPE", 138: "AWAIT_CONTEXT_TYPE", 139: "BLOCK_CONTEXT_TYPE", 140: "CATCH_CONTEXT_TYPE", 141: "DEBUG_EVALUATE_CONTEXT_TYPE", 142: "EVAL_CONTEXT_TYPE", 143: "FUNCTION_CONTEXT_TYPE", 144: "MODULE_CONTEXT_TYPE", 145: "NATIVE_CONTEXT_TYPE", 146: "SCRIPT_CONTEXT_TYPE", 147: "WITH_CONTEXT_TYPE", 148: "WEAK_FIXED_ARRAY_TYPE", 149: "TRANSITION_ARRAY_TYPE", 150: "CALL_HANDLER_INFO_TYPE", 151: "CELL_TYPE", 152: "CODE_DATA_CONTAINER_TYPE", 153: "DESCRIPTOR_ARRAY_TYPE", 154: "FEEDBACK_CELL_TYPE", 155: "FEEDBACK_VECTOR_TYPE", 156: "LOAD_HANDLER_TYPE", 157: "PREPARSE_DATA_TYPE", 158: "PROPERTY_ARRAY_TYPE", 159: "PROPERTY_CELL_TYPE", 160: "SHARED_FUNCTION_INFO_TYPE", 161: "SMALL_ORDERED_HASH_MAP_TYPE", 162: "SMALL_ORDERED_HASH_SET_TYPE", 163: "SMALL_ORDERED_NAME_DICTIONARY_TYPE", 164: "STORE_HANDLER_TYPE", 165: "UNCOMPILED_DATA_WITHOUT_PREPARSE_DATA_TYPE", 166: "UNCOMPILED_DATA_WITH_PREPARSE_DATA_TYPE", 167: "WEAK_ARRAY_LIST_TYPE", 168: "WEAK_CELL_TYPE", 1024: "JS_PROXY_TYPE", 1025: "JS_GLOBAL_OBJECT_TYPE", 1026: "JS_GLOBAL_PROXY_TYPE", 1027: "JS_MODULE_NAMESPACE_TYPE", 1040: "JS_SPECIAL_API_OBJECT_TYPE", 1041: "JS_PRIMITIVE_WRAPPER_TYPE", 1056: "JS_API_OBJECT_TYPE", 1057: "JS_OBJECT_TYPE", 1058: "JS_ARGUMENTS_TYPE", 1059: "JS_ARRAY_BUFFER_TYPE", 1060: "JS_ARRAY_ITERATOR_TYPE", 1061: "JS_ARRAY_TYPE", 1062: "JS_ASYNC_FROM_SYNC_ITERATOR_TYPE", 1063: "JS_ASYNC_FUNCTION_OBJECT_TYPE", 1064: "JS_ASYNC_GENERATOR_OBJECT_TYPE", 1065: "JS_CONTEXT_EXTENSION_OBJECT_TYPE", 1066: "JS_DATE_TYPE", 1067: "JS_ERROR_TYPE", 1068: "JS_GENERATOR_OBJECT_TYPE", 1069: "JS_MAP_TYPE", 1070: "JS_MAP_KEY_ITERATOR_TYPE", 1071: "JS_MAP_KEY_VALUE_ITERATOR_TYPE", 1072: "JS_MAP_VALUE_ITERATOR_TYPE", 1073: "JS_MESSAGE_OBJECT_TYPE", 1074: "JS_PROMISE_TYPE", 1075: "JS_REGEXP_TYPE", 1076: "JS_REGEXP_STRING_ITERATOR_TYPE", 1077: "JS_SET_TYPE", 1078: "JS_SET_KEY_VALUE_ITERATOR_TYPE", 1079: "JS_SET_VALUE_ITERATOR_TYPE", 1080: "JS_STRING_ITERATOR_TYPE",
{ "pile_set_name": [ "Github", "Github" ] }
56,996,547
KEPT MAKING INSIDE. POLICE BELIEVE HE KEPT MAKING HIS INSIDE. POLICE BELIEVE HE KEPT MAKING HIS WAY INSIDE. POLICE BELIEVE HE KEPT MAKING HIS WAY UP INSIDE. POLICE BELIEVE HE KEPT MAKING HIS WAY UP NORTH INSIDE. POLICE BELIEVE HE KEPT MAKING HIS WAY UP NORTH BEFORE POLICE BELIEVE HE KEPT MAKING HIS WAY UP NORTH BEFORE POLICE BELIEVE HE KEPT MAKING HIS WAY UP NORTH BEFORE STOPPING POLICE BELIEVE HE KEPT MAKING HIS WAY UP NORTH BEFORE STOPPING IN POLICE BELIEVE HE KEPT MAKING HIS WAY UP NORTH BEFORE STOPPING IN MANTECA, POLICE BELIEVE HE KEPT MAKING HIS WAY UP NORTH BEFORE STOPPING IN MANTECA, ABOUT HIS WAY UP NORTH BEFORE STOPPING IN MANTECA, ABOUT HIS WAY UP NORTH BEFORE STOPPING IN MANTECA, ABOUT 8 HIS WAY UP NORTH BEFORE STOPPING IN MANTECA, ABOUT 8 MILES HIS WAY UP NORTH BEFORE STOPPING IN MANTECA, ABOUT 8 MILES AWAY. STOPPING IN MANTECA, ABOUT 8 MILES AWAY. STOPPING IN MANTECA, ABOUT 8 MILES AWAY. HE STOPPING IN MANTECA, ABOUT 8 MILES AWAY. HE STOPPED STOPPING IN MANTECA, ABOUT 8MILES AWAY. HE STOPPED HERE STOPPING IN MANTECA, ABOUT 8 MILES AWAY. HE STOPPED HERE AT STOPPING IN MANTECA, ABOUT 8 MILES AWAY. HE STOPPED HERE AT THE STOPPING IN MANTECA, ABOUT 8 MILES AWAY. HE STOPPED HERE AT THE BANK STOPPING IN MANTECA, ABOUT 8 MILES AWAY. HE STOPPED HERE AT THE BANK OF 8 MILES AWAY. HE STOPPED HERE AT THE BANK OF 8 MILES AWAY. HE STOPPED HERE AT THE BANK OF STOCKTON 8 MILES AWAY. HE STOPPED HERE AT THE BANK OF STOCKTON OFF 8 MILES AWAY. HE STOPPED HERE AT THE BANK OF STOCKTON OFF MAIN 8 MILES AWAY. HE STOPPED HERE AT THE BANK OF STOCKTON OFF MAIN STREET 8 MILES AWAY. HE STOPPED HERE AT THE BANK OF STOCKTON OFF MAIN STREET ABOUT HE STOPPED HERE AT THE BANK OF STOCKTON OFF MAIN STREET ABOUT HE STOPPED HERE AT THE BANK OF STOCKTON OFF MAIN STREET ABOUT AN HE STOPPED HERE AT THE BANK OF STOCKTON OFF MAIN
{ "pile_set_name": [ "YoutubeSubtitles", "YoutubeSubtitles" ] }
7,993,073
first thought it was a stroke, after doing 3 MRI, MRV, MRA, 5 Spinal taps, 3 EEG, Called in a heart specialist and many other test, this is what she thinks it is. She started her on seizures meds call Kepper and it seems to be working so far, she still has a few small ones. She also, started giving her IVIG. She had two days of IV's in the hospital and two the first 2 days in January. After much research our doctor wants us to see Dr. Vining. Which as you know is hard to get an appointment. We finally got thru to her office on Friday and they havent even looked at our tape that was sent up yet. After begging they lady called backWM5100_DSP2_CONTROL_19: case WM5100_DSP2_CONTROL_20: case WM5100_DSP2_CONTROL_21: case WM5100_DSP2_CONTROL_22: case WM5100_DSP2_CONTROL_23: case WM5100_DSP2_CONTROL_24: case WM5100_DSP2_CONTROL_25: case WM5100_DSP2_CONTROL_26: case WM5100_DSP2_CONTROL_27: case WM5100_DSP2_CONTROL_28: case WM5100_DSP2_CONTROL_29: case WM5100_DSP2_CONTROL_30: case WM5100_DSP3_CONTROL_1: case WM5100_DSP3_CONTROL_2: case WM5100_DSP3_CONTROL_3: case WM5100_DSP3_CONTROL_4: case WM5100_DSP3_CONTROL_5: case WM5100_DSP3_CONTROL_6: case WM5100_DSP3_CONTROL_7: case WM5100_DSP3_CONTROL_8: case WM5100_DSP3_CONTROL_9: case WM5100_DSP3_CONTROL_10: case WM5100_DSP3_CONTROL_11: case WM5100_DSP3_CONTROL_12: case WM5100_DSP3_CONTROL_13: case WM5100_DSP3_CONTROL_14: case WM5100_DSP3_CONTROL_15: case WM5100_DSP3_CONTROL_16: case WM5100_DSP3_CONTROL_17: case WM5100_DSP3_CONTROL_18: case WM5100_DSP3_CONTROL_19: case WM5100_DSP3_CONTROL_20: case WM5100_DSP3_CONTROL_21: case WM5100_DSP3_CONTROL_22: case WM5100_DSP3_CONTROL_23: case WM5100_DSP3_CONTROL_24: case WM5100_DSP3_CONTROL_25: case WM5100_DSP3_CONTROL_26: case WM5100_DSP3_CONTROL_27: case WM5100_DSP3_CONTROL_28: case WM5100_DSP3_CONTROL_29: case WM5100_DSP3_CONTROL_30: return 1; default: if ((reg >= WM5100_DSP1_PM_0 && reg <= WM5100_DSP1_PM_1535) || (reg >= WM5100_DSP1_ZM_0 && reg <= WM5100_DSP1_ZM_2047) || (reg >= WM5100_DSP1_DM_0 && reg <= WM5100_DSP1_DM_511) || (reg >= WM5100_DSP2_PM_0 && reg <= WM5100_DSP2_PM_1535) || (reg >= WM5100_DSP2_ZM_0 && reg <= WM5100_DSP2_ZM_2047) || (reg >= WM5100_DSP2_DM_0 && reg <= WM5100_DSP2_DM_511) || (reg >= WM5100_DSP3_PM_0 && reg <= WM5100_DSP3_PM_1535) || (reg >= WM5100_DSP3_ZM_0 && reg <= WM5100_DSP3_ZM_2047) ||
{ "pile_set_name": [ "Pile-CC", "Github" ] }
1,100,463
Soft-Tissue Attachments Market, By Type, 2016�2023 (USD Million) Table 282 RoAPAC: Biological Meshes Market, By Type, 2016�2023 (USD Million) Table 283 RoAPAC: Bone-Graft Substitutes Market, By Type, 2016�2023 (USD Million) Table 284 RoAPAC: Biosurgery Market, By Application, 2016�2023 (USD Million) Table 285 Latin America: Biosurgery Market, By Country, 2016�2023 (USD Million) Table 286 Latin America: Biosurgery Market, By Product, 2016�2023 (USD Million) Table 287 Latin America: Surgical Sealants & Adhesives Market, By Type, 2016�2023 (USD Million) Table 288 Latin America: Natural/Biological Sealants Market, By Type, 2016�2023 (USD Million) Table 289 Latin America: Natural/Biological Sealants Market, By Origin, 2016�2023 (USD Million) Table 290 Latin America: Synthetic & Semi-Synthetic Sealants Market, By Type, 2016�2023 (USD Million) Table 291 Latin America: Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 292 Latin America: Natural Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table293 Latin America: Synthetic Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 294 Latin America: Soft-Tissue Attachments Market, By Type, 2016�2023 (USD Million) Table 295 Latin America: Biological Meshes Market, By Type, 2016�2023 (USD Million) Table 296 Latin America: Bone-Graft Substitutes Market, By Type, 2016�2023 (USD Million) Table 297 Latin America: Biosurgery Market, By Application, 2016�2023 (USD Million) Table 298 Brazil: Key Macroindicators for the Biosurgery Market Table 299 Brazil: Biosurgery Market, By Product, 2016�2023 (USD Million) Table 300 Brazil: Surgical Sealants & Adhesives Market, By Type, 2016�2023 (USD Million) Table 301 Brazil: Natural/Biological Sealants Market, By Type, 2016�2023 (USD Million) Table 302 Brazil: Natural/Biological Sealants Market, By Origin, 2016�2023 (USD Million) Table 303 Brazil: Synthetic & Semi-Synthetic Sealants Market, By Type, 2016�2023 (USD Million) Table 304 Brazil: Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 305 Brazil:
{ "pile_set_name": [ "OpenWebText2", "OpenWebText2" ] }
57,475,889
objectCreated( 3 , BLOCK ) Xcos trace: objectReferenced( 3 , BLOCK ) : 1 Xcos trace: propertyUpdated( 3 , BLOCK , GEOMETRY ) : NO_CHANGES Xcos debug: propertyUpdated( 3 , BLOCK , GEOMETRY ) : SUCCESS Xcos debug: propertyUpdated( 3 , BLOCK , EXPRS ) : SUCCESS Xcos info: objectCreated( 4 , PORT ) Xcos debug: propertyUpdated( 4 , PORT , SOURCE_BLOCK ) : SUCCESS Xcos debug: propertyUpdated( 4 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated( 4 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos debug: propertyUpdated( 3 , BLOCK , INPUTS ) : SUCCESS Xcos info: objectCreated( 5 , PORT ) Xcos debug: propertyUpdated( 5 , PORT , SOURCE_BLOCK ) :SUCCESS Xcos debug: propertyUpdated( 5 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated( 5 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos debug: propertyUpdated( 3 , BLOCK , OUTPUTS ) : SUCCESS Xcos trace: propertyUpdated( 3 , BLOCK , DESCRIPTION ) : NO_CHANGES Xcos trace: propertyUpdated( 4 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: propertyUpdated( 5 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: objectUnreferenced( 3 , BLOCK ) : 0 Xcos trace: objectReferenced( 3 , BLOCK ) : 1 Xcos debug: propertyUpdated( 3 , BLOCK , SIM_FUNCTION_NAME ) : SUCCESS Xcos debug: propertyUpdated( 3 , BLOCK , SIM_FUNCTION_API ) : SUCCESS Xcos debug: propertyUpdated( 4 , PORT , DATATYPE ) :
{ "pile_set_name": [ "Github", "Github" ] }
47,297,232
12 , PORT , DATATYPE ) : SUCCESS Xcos trace: propertyUpdated( 12 , PORT , DATATYPE ) : NO_CHANGES Xcos trace: propertyUpdated( 10 , BLOCK , STATE ) : NO_CHANGES Xcos trace: propertyUpdated( 10 , BLOCK , DSTATE ) : NO_CHANGES Xcos trace: propertyUpdated( 10 , BLOCK , ODSTATE ) : NO_CHANGES Xcos debug: propertyUpdated( 10 , BLOCK , RPAR ) : SUCCESS Xcos trace: propertyUpdated( 10 , BLOCK , IPAR ) : NO_CHANGES Xcos trace: propertyUpdated( 10 , BLOCK , OPAR ) : NO_CHANGES Xcos trace: propertyUpdated( 10 , BLOCK , SIM_BLOCKTYPE ) : NO_CHANGES Xcos debug: propertyUpdated( 10 , BLOCK , SIM_DEP_UT ) : SUCCESS Xcos trace: propertyUpdated( 10 , BLOCK , DESCRIPTION ) : NO_CHANGES Xcostrace: propertyUpdated( 10 , BLOCK , NZCROSS ) : NO_CHANGES Xcos trace: propertyUpdated( 10 , BLOCK , NMODE ) : NO_CHANGES Xcos trace: propertyUpdated( 10 , BLOCK , EQUATIONS ) : NO_CHANGES Xcos trace: objectUnreferenced( 10 , BLOCK ) : 0 Xcos debug: propertyUpdated( 10 , BLOCK , INTERFACE_FUNCTION ) : SUCCESS Xcos info: objectCreated( 13 , BLOCK ) Xcos trace: objectReferenced( 13 , BLOCK ) : 1 Xcos debug: propertyUpdated( 13 , BLOCK , GEOMETRY ) : SUCCESS Xcos debug: propertyUpdated( 13 , BLOCK , GEOMETRY ) : SUCCESS Xcos debug: propertyUpdated( 13 , BLOCK , EXPRS ) : SUCCESS Xcos info: objectCreated( 14 , PORT ) Xcos debug: propertyUpdated( 14 ,
{ "pile_set_name": [ "Github", "Github" ] }
47,297,242
propertyUpdated( 10 , BLOCK , GEOMETRY ) : SUCCESS Xcos debug: propertyUpdated( 10 , BLOCK , GEOMETRY ) : SUCCESS Xcos debug: propertyUpdated( 10 , BLOCK , EXPRS ) : SUCCESS Xcos info: objectCreated( 11 , PORT ) Xcos debug: propertyUpdated( 11 , PORT , SOURCE_BLOCK ) : SUCCESS Xcos debug: propertyUpdated( 11 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated( 11 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos debug: propertyUpdated( 10 , BLOCK , INPUTS ) : SUCCESS Xcos info: objectCreated( 12 , PORT ) Xcos debug: propertyUpdated( 12 , PORT , SOURCE_BLOCK ) : SUCCESS Xcos debug: propertyUpdated( 12 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated(12 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos debug: propertyUpdated( 10 , BLOCK , OUTPUTS ) : SUCCESS Xcos trace: propertyUpdated( 10 , BLOCK , DESCRIPTION ) : NO_CHANGES Xcos trace: propertyUpdated( 11 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: propertyUpdated( 12 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: objectUnreferenced( 10 , BLOCK ) : 0 Xcos trace: objectReferenced( 10 , BLOCK ) : 1 Xcos debug: propertyUpdated( 10 , BLOCK , SIM_FUNCTION_NAME ) : SUCCESS Xcos trace: propertyUpdated( 10 , BLOCK , SIM_FUNCTION_API ) : NO_CHANGES Xcos debug: propertyUpdated( 11 , PORT , DATATYPE ) : SUCCESS Xcos trace: propertyUpdated( 11 , PORT , DATATYPE ) : NO_CHANGES Xcos debug: propertyUpdated(
{ "pile_set_name": [ "Github", "Github" ] }
47,297,240
and results in: +-------------------------------------------+ | .---------------------------------. | | .EPEPEPEPEPEGCGCGCGCGCGCGP&P&P&P&P&P` | | .RSRSRSRSRSRSNONONONONONONUSUSUSUSUSUS` | | :O@OTO@O@O@O@IDIDIWIDIDIDIZEZEZEZEZEZE- | | :GFGFGFGFGFGFMEMEMEMEMEMEMZLZLZLZLZLZL- | | :RLRLRLRLRLRLMGMGMGMGMGMGMLZLZLZLZLZLZ- | | :AOAOAOAOAOAOAOAOAOBOAOAOAEZEZEZEZEZEZ- | | :MGVGm!'""'!GRLr!'""'!LRKRS!'""'!uSuSU- | | :XEME' .''% !Gf' .;G% 'GFG' .;P% '&PVP- | | :IDID !DI! !V! .OPoYOPOP! -gCGCGHGCG- | | :NONw ``` .OR! .RWRRRRRR! !ONo* 'ONON- | | :GBGC !CXCGCP! !POP; !xOP `IJ; `!IDW- | | :P&P&._!&P&P&F~.____.;GFGF~.____.;eJEM- | | :USUSUSUSUSURLRLRLRLRLRLRLGMGMGMGMGMGM- | | :ZEZEZEZEZEZEOAOAOAOAOAOAOOAOAOAOAOAOA- | | :ZLZLZLZLZLZLGMGMGMGMGMGMGLRLRLRLRLRLR- | | :LZLZLZLZLZLZEMEMEMEMEMEMEFGFGFGFGFGFG- | | :EZEZEZEZEZEZDIDIDIDIDIDID@O@O@O@O@O@O- | | `SUSUSUSUSUSUONONONONONONOSRSRSRSRSRS- | | `.&P&P&P&P&PCGCGCGCGCGCGCEPEPEPEPEP.- | | ```````````````````:STACKE-````` | |This collection of excerpts comes from the five Sunday Talk Show interviews, during 2014, of 2016 presidential hopefuls. A long-standing political tradition is the Sunday morning talk show, beginning with "Meet the Press" in 1947. Currently, five separate "talking head" programs appear on five different TV stations every Sunday morning. Making an appearance on all five talk shows on one Sunday is known as a Full Ginsburg, because it was first accomplished by William Ginsburg (Monica Lewinsky's attorney) in 1998. In 2013, both Jeb Bush and Marco Rubio accomplished a Full Ginsburg, fueling speculation that both are planning a presidential run in 2016. In 2014, John Kerry was the only person to accomplish a Full Ginsburg, but no one thinks he is planning a presidential run in 2016. In 2015 so far, White House Chief of Staff Denis
{ "pile_set_name": [ "StackExchange", "Pile-CC" ] }
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ALONE. POSSIBLY THE MOST ATTENTION IT'S EVER YOU'RE NOT ALONE. POSSIBLY THE MOST ATTENTION IT'S EVER GOTTEN YOU'RE NOT ALONE. POSSIBLY THE MOST ATTENTION IT'S EVER GOTTEN WAS YOU'RE NOT ALONE. POSSIBLY THE MOST ATTENTION IT'S EVER GOTTEN WAS A YOU'RE NOT ALONE. POSSIBLY THE MOST ATTENTION IT'S EVER GOTTEN WAS A VIRAL POSSIBLY THE MOST ATTENTION IT'S EVER GOTTEN WAS A VIRAL POSSIBLY THE MOST ATTENTION IT'S EVER GOTTEN WAS A VIRAL TICKTOCK POSSIBLY THE MOST ATTENTION IT'S EVER GOTTEN WAS A VIRAL TICKTOCK FROM POSSIBLY THE MOST ATTENTION IT'S EVER GOTTEN WAS A VIRAL TICKTOCK FROM A POSSIBLY THE MOST ATTENTION IT'S EVER GOTTEN WAS A VIRAL TICKTOCK FROM A GONZAGA POSSIBLY THE MOST ATTENTION IT'S EVER GOTTEN WAS A VIRAL TICKTOCK FROM A GONZAGA STUDENT IT'S EVER GOTTEN WAS A VIRAL TICKTOCK FROM A GONZAGA STUDENT IT'S EVER GOTTEN WAS A VIRAL TICKTOCK FROM A GONZAGA STUDENT ROASTING IT'S EVER GOTTEN WAS A VIRAL TICKTOCK FROM A GONZAGA STUDENT ROASTING FOR IT'S EVER GOTTEN WASA VIRAL TICKTOCK FROM A GONZAGA STUDENT ROASTING FOR ITS IT'S EVER GOTTEN WAS A VIRAL TICKTOCK FROM A GONZAGA STUDENT ROASTING FOR ITS UGLINESS. TICKTOCK FROM A GONZAGA STUDENT ROASTING FOR ITS UGLINESS. TICKTOCK FROM A GONZAGA STUDENT ROASTING FOR ITS UGLINESS. THE TICKTOCK FROM A GONZAGA STUDENT ROASTING FOR ITS UGLINESS. THE SPOKANE TICKTOCK FROM A GONZAGA STUDENT ROASTING FOR ITS UGLINESS. THE SPOKANE CITY TICKTOCK FROM A GONZAGA STUDENT ROASTING FOR ITS UGLINESS. THE SPOKANE CITY FLAG TICKTOCK FROM A GONZAGA STUDENT ROASTING FOR ITS UGLINESS. THE SPOKANE CITY FLAG IS TICKTOCK FROM A GONZAGA STUDENT ROASTING FOR ITS UGLINESS. THE SPOKANE CITY FLAG IS AN ROASTING FOR ITS UGLINESS. THE SPOKANE CITY FLAG IS AN ROASTING FOR ITS UGLINESS. THE SPOKANE CITY FLAG IS AN ATROCITY. THE SPOKANE CITY FLAG IS AN ATROCITY. THE SPOKANE CITY FLAG IS AN ATROCITY. >> THE SPOKANE CITY FLAG IS AN ATROCITY. >> IT THE SPOKANE CITY FLAG IS AN ATROCITY. >> IT BREAKS THE SPOKANE CITY FLAG IS AN ATROCITY. >>
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"WASM_INDIRECT_FUNCTION_TABLE_TYPE", 115: "WASM_JS_FUNCTION_DATA_TYPE", 116: "WASM_VALUE_TYPE", 117: "FIXED_ARRAY_TYPE", 118: "HASH_TABLE_TYPE", 119: "EPHEMERON_HASH_TABLE_TYPE", 120: "GLOBAL_DICTIONARY_TYPE", 121: "NAME_DICTIONARY_TYPE", 122: "NUMBER_DICTIONARY_TYPE", 123: "ORDERED_HASH_MAP_TYPE", 124: "ORDERED_HASH_SET_TYPE", 125: "ORDERED_NAME_DICTIONARY_TYPE", 126: "SIMPLE_NUMBER_DICTIONARY_TYPE", 127: "CLOSURE_FEEDBACK_CELL_ARRAY_TYPE", 128: "OBJECT_BOILERPLATE_DESCRIPTION_TYPE", 129: "SCOPE_INFO_TYPE", 130: "SCRIPT_CONTEXT_TABLE_TYPE", 131: "BYTE_ARRAY_TYPE", 132: "BYTECODE_ARRAY_TYPE", 133: "FIXED_DOUBLE_ARRAY_TYPE", 134: "INTERNAL_CLASS_WITH_SMI_ELEMENTS_TYPE", 135: "SLOPPY_ARGUMENTS_ELEMENTS_TYPE", 136: "AWAIT_CONTEXT_TYPE", 137: "BLOCK_CONTEXT_TYPE", 138: "CATCH_CONTEXT_TYPE", 139: "DEBUG_EVALUATE_CONTEXT_TYPE", 140: "EVAL_CONTEXT_TYPE", 141: "FUNCTION_CONTEXT_TYPE", 142: "MODULE_CONTEXT_TYPE", 143: "NATIVE_CONTEXT_TYPE", 144: "SCRIPT_CONTEXT_TYPE", 145: "WITH_CONTEXT_TYPE", 146: "EXPORTED_SUB_CLASS_BASE_TYPE", 147: "EXPORTED_SUB_CLASS_TYPE", 148: "EXPORTED_SUB_CLASS2_TYPE", 149: "SMALL_ORDERED_HASH_MAP_TYPE", 150: "SMALL_ORDERED_HASH_SET_TYPE", 151: "SMALL_ORDERED_NAME_DICTIONARY_TYPE", 152: "SOURCE_TEXT_MODULE_TYPE", 153: "SYNTHETIC_MODULE_TYPE", 154: "UNCOMPILED_DATA_WITH_PREPARSE_DATA_TYPE", 155: "UNCOMPILED_DATA_WITHOUT_PREPARSE_DATA_TYPE", 156: "WEAK_FIXED_ARRAY_TYPE", 157: "TRANSITION_ARRAY_TYPE", 158: "CELL_TYPE", 159: "CODE_TYPE", 160: "CODE_DATA_CONTAINER_TYPE", 161: "COVERAGE_INFO_TYPE", 162: "DESCRIPTOR_ARRAY_TYPE", 163: "EMBEDDER_DATA_ARRAY_TYPE", 164: "FEEDBACK_METADATA_TYPE", 165: "FEEDBACK_VECTOR_TYPE", 166: "FILLER_TYPE", 167: "FREE_SPACE_TYPE", 168: "INTERNAL_CLASS_TYPE", 169: "INTERNAL_CLASS_WITH_STRUCT_ELEMENTS_TYPE", 170: "MAP_TYPE", 171: "ON_HEAP_BASIC_BLOCK_PROFILER_DATA_TYPE", 172: "PREPARSE_DATA_TYPE", 173: "PROPERTY_ARRAY_TYPE", 174: "PROPERTY_CELL_TYPE", 175: "SHARED_FUNCTION_INFO_TYPE", 176: "SMI_BOX_TYPE", 177: "SMI_PAIR_TYPE", 178: "SORT_STATE_TYPE", 179: "WASM_ARRAY_TYPE", 180: "WASM_STRUCT_TYPE", 181: "WEAK_ARRAY_LIST_TYPE", 182: "WEAK_CELL_TYPE", 183: "JS_PROXY_TYPE", 1057: "JS_OBJECT_TYPE", 184: "JS_GLOBAL_OBJECT_TYPE", 185: "JS_GLOBAL_PROXY_TYPE", 186: "JS_MODULE_NAMESPACE_TYPE", 1040: "JS_SPECIAL_API_OBJECT_TYPE", 1041: "JS_PRIMITIVE_WRAPPER_TYPE", 1042: "JS_MAP_KEY_ITERATOR_TYPE", 1043: "JS_MAP_KEY_VALUE_ITERATOR_TYPE", 1044: "JS_MAP_VALUE_ITERATOR_TYPE", 1045: "JS_SET_KEY_VALUE_ITERATOR_TYPE", 1046: "JS_SET_VALUE_ITERATOR_TYPE", 1047: "JS_GENERATOR_OBJECT_TYPE", 1048: "JS_ASYNC_FUNCTION_OBJECT_TYPE", 1049: "JS_ASYNC_GENERATOR_OBJECT_TYPE", 1050: "JS_DATA_VIEW_TYPE", 1051: "JS_TYPED_ARRAY_TYPE",
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9 0x000000010830e618 -[NSObject(DVTObservingConvenience) _dvt_newObserverForKeyPath:options:owner:withHandlerBlock:] (in DVTFoundation) 10 0x000000010828e5d3 -[NSObject(DVTObservingConvenience) dvt_newObserverForKeyPath:options:withHandlerBlock:] (in DVTFoundation) 11 0x000000010e9d1815 -[Xcode3Project initWithFilePath:extension:workspace:error:] (in DevToolsCore) 12 0x0000000108d899ef __73+[IDEContainer retainedContainerAtFilePath:fileDataType:workspace:error:]_block_invoke_2 (in IDEFoundation) 13 0x00007fff91d9d2ad _dispatch_client_callout (in libdispatch.dylib) 14 0x00007fff91d9e166 _dispatch_barrier_sync_f_invoke (in libdispatch.dylib) 15 0x000000010833a0ec DVTSyncPerformBlock (in DVTFoundation) 16 0x000000010825dfe3 -[DVTDispatchLock performLockedBlock:] (in DVTFoundation) 17 0x0000000108d893f5 __73+[IDEContainer retainedContainerAtFilePath:fileDataType:workspace:error:]_block_invoke (in IDEFoundation) 18 0x000000010830f2ed -[DVTModelObjectGraph performBlockCoalescingModelChanges:] (in DVTFoundation) 19 0x0000000108cc9579 +[IDEContainer retainedContainerAtFilePath:fileDataType:workspace:error:] (in IDEFoundation) 20 0x0000000108d9eb40 -[IDEFileReference _recalculateReferencedContainer] (in IDEFoundation) 21 0x0000000108cdcf48 -[IDEFileReference referencedContainer] (in IDEFoundation) 22 0x0000000108ce4200 -[IDEContainerQuery _traverseContainerGraphObject:forDeletion:checkedContainers:insertedMatches:deletedMatches:] (in IDEFoundation) 23 0x0000000108ce617b -[IDEContainerQuery _traverseContainerGraphObjects:forDeletion:insertedMatches:deletedMatches:] (in IDEFoundation) 24 0x0000000108ce5ec4 -[IDEContainerQuery _objectsDidChange:] (in IDEFoundation) 25 0x00007fff8d6eefcc __CFNOTIFICATIONCENTER_IS_CALLING_OUT_TO_AN_OBSERVER__ (in CoreFoundation) 26 0x00007fff8d5e2c5d _CFXNotificationPost (in CoreFoundation) 27 0x00007fff8a3c14aa -[NSNotificationCenter postNotificationName:object:userInfo:] (in Foundation) stoppage of a few minutes, during which those who had not dined hastened to purchase some provisions. Moreover, the ailing ones were constantly drinking milk, and asking for biscuits, like little children. And, as soon as they were off again, Sister Hyacinthe clapped her hands, and exclaimed: "Come, let us make haste; the evening prayer." Thereupon, during a quarter of an hour came a confused murmuring, made up of "Paters" and "Aves," self-examinations, acts of contrition, and vows of trustful reliance in God, the Blessed Virgin, and the Saints, with thanksgiving for protection and preservation that day, and, at last, a prayer for the living and for the faithful departed. "In the name of the Father, the Son, and the Holy Ghost. Amen." It was ten minutes past eight o'clock, the shades of night were already bedimming the landscape--a vast plain
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film.rental_duration AS "film.rental_duration", film.rental_rate AS "film.rental_rate", film.length AS "film.length", film.replacement_cost AS "film.replacement_cost", film.rating AS "film.rating", film.last_update AS "film.last_update", film.special_features AS "film.special_features", film.fulltext AS "film.fulltext", language.language_id AS "language.language_id", language.name AS "language.name", language.last_update AS "language.last_update", actor.actor_id AS "actor.actor_id", actor.first_name AS "actor.first_name", actor.last_name AS "actor.last_name", actor.last_update AS "actor.last_update", inventory.inventory_id AS "inventory.inventory_id", inventory.film_id AS "inventory.film_id", inventory.store_id AS "inventory.store_id", inventory.last_update:= struct { MaxFilmRate float64 }{} err := query.Query(db, &ret) require.NoError(t, err) require.Equal(t, ret.MaxFilmRate, 4.99) } func TestSelectQueryScalar(t *testing.T) { expectedSQL := ` SELECT film.film_id AS "film.film_id", film.title AS "film.title", film.description AS "film.description", film.release_year AS "film.release_year", film.language_id AS "film.language_id", film.rental_duration AS "film.rental_duration", film.rental_rate AS "film.rental_rate", film.length AS "film.length", film.replacement_cost AS "film.replacement_cost", film.rating AS "film.rating", film.last_update AS "film.last_update", film.special_features AS "film.special_features", film.fulltext AS "film.fulltext" FROM dvds.film WHERE film.rental_rate = ( SELECT MAX(film.rental_rate) FROM dvds.film
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SUCCESS Xcos debug: propertyUpdated( 4 , PORT , DATATYPE ) : SUCCESS Xcos trace: propertyUpdated( 4 , PORT , DATATYPE ) : NO_CHANGES Xcos debug: propertyUpdated( 5 , PORT , DATATYPE ) : SUCCESS Xcos debug: propertyUpdated( 5 , PORT , DATATYPE ) : SUCCESS Xcos debug: propertyUpdated( 5 , PORT , DATATYPE ) : SUCCESS Xcos trace: propertyUpdated( 3 , BLOCK , STATE ) : NO_CHANGES Xcos trace: propertyUpdated( 3 , BLOCK , DSTATE ) : NO_CHANGES Xcos trace: propertyUpdated( 3 , BLOCK , ODSTATE ) : NO_CHANGES Xcos debug: propertyUpdated( 3 , BLOCK , RPAR ) : SUCCESS Xcos debug: propertyUpdated( 3 , BLOCK , IPAR ) : SUCCESS Xcos trace: propertyUpdated( 3 , BLOCK, OPAR ) : NO_CHANGES Xcos trace: propertyUpdated( 3 , BLOCK , SIM_BLOCKTYPE ) : NO_CHANGES Xcos debug: propertyUpdated( 3 , BLOCK , SIM_DEP_UT ) : SUCCESS Xcos trace: propertyUpdated( 3 , BLOCK , DESCRIPTION ) : NO_CHANGES Xcos trace: propertyUpdated( 3 , BLOCK , NZCROSS ) : NO_CHANGES Xcos trace: propertyUpdated( 3 , BLOCK , NMODE ) : NO_CHANGES Xcos trace: propertyUpdated( 3 , BLOCK , EQUATIONS ) : NO_CHANGES Xcos trace: objectUnreferenced( 3 , BLOCK ) : 0 Xcos debug: propertyUpdated( 3 , BLOCK , INTERFACE_FUNCTION ) : SUCCESS Xcos info: objectCreated( 6 , BLOCK ) Xcos trace: objectReferenced( 6 , BLOCK ) : 1 Xcos debug: propertyUpdated( 6 , BLOCK , GEOMETRY )
{ "pile_set_name": [ "Github", "Github" ] }
47,297,234
Blaklion (brought down) Grand National in pictures grand-national-fence-211.jpg No fallers Grand National in pictures grand-national-fence-31.jpg No fallers Grand National in pictures grand-national-fence-4.jpg No fallers Grand National in pictures grand-national-fence-51.jpg No fallers Grand National in pictures grand-national-fence-6.jpg I Just Know (fell), Virgilio (unseated), Houblon Des Obeaux (fell) Grand National in pictures grand-national-fence-7.jpg Captain Redbeard (fell) Grand National in pictures grand-national-fence-8.jpg Buywise (unseated), Lord Windermere (unseated) Grand National in pictures grand-national-fence-9.jpg No fallers Grand National in pictures grand-national-fence-101.jpg No fallers Grand National in pictures grand-national-fence-111.jpg No fallers Grand National in pictures grand-national-fence-121.jpg Grand National in pictures grand-national-fence-131.jpg No fallers Grand National in pictures grand-national-fence-14.jpg No fallers Grand National in pictures grand-national-fence-15.jpg Chase The Spud (pulled up), Alpha Des Obeaux (fell), Saint Are (brought down) Grand National in pictures grand-national-fence-16.jpg Nofallers Grand National in pictures grand-national-fence-17.jpg Delusionofgrandeur (pulled up) Grand National in pictures grand-national-fence-18.jpg No fallers Grand National in pictures grand-national-fence-5.jpg No fallers Grand National in pictures grand-national-fence-11.jpg No fallers Grand National in pictures grand-national-fence-12.jpg No fallers Grand National in pictures grand-national-fence-22.jpg No fallers Grand National in pictures grand-national-fence-23.jpg The Dutchman (unseated) Grand National in pictures grand-national-fence-24.jpg No fallers Grand National in pictures grand-national-fence-13.jpg No fallers Grand National in pictures grand-national-fence-10.jpg No fallers Grand National in pictures grand-national-fence-27.jpg The Last Samuri (pulled up), Tenor Nivernais (pulled up), Thunder and Roses (pulled up), Shantou Flyer (pulled up), Ucello Conti (unseated) Grand National in pictures grand-national-fence-3.jpg No fallers Grand National in pictures grand-national-fence-29.jpg Total Recall (pulled up), Warriors Tale (pulled up) Grand National in pictures grand-national-fence-30.jpg Pendra (pulled up), Doubles
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6,654,273
What time are you leaving today? -----Original Message----- From: Maggi, Mike Sent: Tuesday, January 22, 2002 1:23 PM To: Rybarski, Amanda Subject: RE: so lets go -----Original Message----- From: Rybarski, Amanda Sent: Tuesday, January 22, 2002 1:18 PM To: Maggi, Mike Subject: RE: Yes! Believe me, I can't wait! -----Original Message----- From: Maggi, Mike Sent: Tuesday, January 22, 2002 11:46 AM To: Rybarski, Amanda Subject: RE: early this week i hope -----Original Message----- From: Rybarski, Amanda Sent: Tuesday, January 22, 2002 10:30 AM To: Maggi, Mike Subject: RE: okay, I will...this week! -----Original Message----- From: Maggi, Mike Sent: Tuesday, January 22, 2002 10:29 AM To: Rybarski, Amanda Subject: RE: prove it -----Original Message----- From: Rybarski, Amanda Sent: Tuesday, January 22, 2002 10:28 AM To: Maggi, Mike Subject: RE: you are the big cheese to me baby! -----Original Message----- From: Maggi, Mike Sent: Tuesday, January 22, 2002 10:27 AM To: Rybarski, Amanda Subject: RE: i dont really know what he is goingto do, i thought i was always the big cheese -----Original Message----- From: Rybarski, Amanda Sent: Tuesday, January 22, 2002 10:26 AM To: Maggi, Mike Subject: RE: REALLY, where is he going? Are you going to be the big cheese now? -----Original Message----- From: Maggi, Mike Sent: Tuesday, January 22, 2002 10:25 AM To: Rybarski, Amanda Subject: RE: i am staying also but john is not -----Original Message----- From: Rybarski, Amanda Sent: Tuesday, January 22, 2002 10:25 AM To: Maggi, Mike Subject: RE: no he's staying...what about you? -----Original Message----- From: Maggi, Mike Sent: Tuesday, January 22, 2002 10:24 AM To: Rybarski, Amanda Subject: RE: me too, is chris leaving -----Original Message----- From: Rybarski, Amanda Sent: Tuesday, January 22, 2002 10:24 AM To: Maggi, Mike Subject: RE: I wish...that would be my dream job! -----Original Message----- From: Maggi, Mike Sent: Tuesday, January 22, 2002 10:23 AM To: Rybarski, Amanda Subject: RE: really, so who then, me? -----Original
{ "pile_set_name": [ "Enron Emails", "Enron Emails" ] }
58,449,218
chr(197).chr(162) => 'T', chr(197).chr(163) => 't', chr(197).chr(164) => 'T', chr(197).chr(165) => 't', chr(197).chr(166) => 'T', chr(197).chr(167) => 't', chr(197).chr(168) => 'U', chr(197).chr(169) => 'u', chr(197).chr(170) => 'U', chr(197).chr(171) => 'u', chr(197).chr(172) => 'U', chr(197).chr(173) => 'u', chr(197).chr(174) => 'U', chr(197).chr(175) => 'u', chr(197).chr(176) => 'U', chr(197).chr(177) => 'u', chr(197).chr(178) => 'U', chr(197).chr(179) => 'u', chr(197).chr(180) => 'W', chr(197).chr(181) => 'w', chr(197).chr(182) => 'Y', chr(197).chr(183) => 'y', chr(197).chr(184) => 'Y', chr(197).chr(185) => 'Z', chr(197).chr(186) => 'z', chr(197).chr(187) => 'Z', chr(197).chr(188) => 'z', chr(197).chr(189) => 'Z', chr(197).chr(190) => 'z', chr(197).chr(191) => 's', // Euro Sign chr(226).chr(130).chr(172) => 'E', // GBP (Pound) Sign chr(194).chr(163) => ''); $string = strtr($string, $chars); } else {
{ "pile_set_name": [ "StackExchange", "StackExchange" ] }
9,284,632
End User, 2017�2025 (USD Million) Table 91 Germany: Market, By Product, 2017�2025 (USD Million) Table 92 Germany: Laboratory Filtration Media Market, By Type, 2017�2025 (USD Million) Table 93 Germany: Laboratory Filtration Assemblies Market, By Type, 2017�2025 (USD Million) Table 94 Germany: Laboratory Filtration Accessories Market, By Type, 2017�2025 (USD Million) Table 95 Germany: Laboratory Filtration Market, By Technique, 2017�2025 (USD Million) Table 96 Germany: Market, By End User, 2017�2025 (USD Million) Table 97 France: Market, By Product, 2017�2025 (USD Million) Table 98 France: Laboratory Filtration Media Market, By Type, 2017�2025 (USD Million) Table 99 France: Laboratory Filtration Assemblies Market, By Type, 2017�2025 (USD Million) Table 100 France: Laboratory Filtration Accessories Market, By Type, 2017�2025 (USD Million) Table 101 France: Laboratory Filtration Market, By Technique, 2017�2025 (USD Million) Table 102 France: Market, By End User, 2017�2025 (USD Million) Table 103 UK: Market,By Product, 2017�2025 (USD Million) Table 104 UK: Laboratory Filtration Media Market, By Type, 2017�2025 (USD Million) Table 105 UK: Laboratory Filtration Assemblies Market, By Type, 2017�2025 (USD Million) Table 106 UK: Laboratory Filtration Accessories Market, By Type, 2017�2025 (USD Million) Table 107 UK: Laboratory Filtration Market, By Technique, 2017�2025 (USD Million) Table 108 UK: Market, By End User, 2017�2025 (USD Million) Table 109 Italy: Market, By Product, 2017�2025 (USD Million) Table 110 Italy: Laboratory Filtration Media Market, By Type, 2017�2025 (USD Million) Table 111 Italy: Laboratory Filtration Assemblies Market, By Type, 2017�2025 (USD Million) Table 112 Italy: Laboratory Filtration Accessories Market, By Type, 2017�2025 (USD Million) Table 113 Italy: Market, By Technique, 2017�2025 (USD Million) Table 114 Italy: Market, By End User, 2017�2025 (USD Million) Table 115 Spain: Market, By Product, 2017�2025 (USD Million) Table 116 Spain: Laboratory Filtration Media
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54,083,634
"UNKNOWN (266)", "UNKNOWN (267)", "UNKNOWN (268)", "UNKNOWN (269)", "UNKNOWN (270)", "UNKNOWN (271)", "WM_INITDIALOG", "WM_COMMAND", "WM_SYSCOMMAND", "WM_TIMER", "WM_HSCROLL", "WM_VSCROLL", "WM_INITMENU", "WM_INITMENUPOPUP", "UNKNOWN (280)", "WM_GESTURE", "UNKNOWN (282)", "UNKNOWN (283)", "UNKNOWN (284)", "UNKNOWN (285)", "UNKNOWN (286)", "WM_MENUSELECT", "WM_MENUCHAR", "WM_ENTERIDLE", "WM_MENURBUTTONUP", "WM_MENUDRAG", "WM_MENUGETOBJECT", "WM_UNINITMENUPOPUP", "WM_MENUCOMMAND", "UNKNOWN (295)", "UNKNOWN (296)", "UNKNOWN (297)", "UNKNOWN (298)", "UNKNOWN (299)", "UNKNOWN (300)", "UNKNOWN (301)", "UNKNOWN (302)", "UNKNOWN (303)", "UNKNOWN (304)", "UNKNOWN (305)", "WM_CTLCOLORMSGBOX", "WM_CTLCOLOREDIT", "WM_CTLCOLORLISTBOX", "WM_CTLCOLORBTN", "WM_CTLCOLORDLG", "WM_CTLCOLORSCROLLBAR", "WM_CTLCOLORSTATIC", "UNKNOWN (313)", "UNKNOWN (314)", "UNKNOWN (315)", "UNKNOWN (316)", "UNKNOWN (317)", "UNKNOWN (318)", "UNKNOWN (319)", "UNKNOWN (320)", "UNKNOWN (321)",
{ "pile_set_name": [ "Github", "Github" ] }
44,433,708
(Djibouti)', 'fr_GQ' => 'fránskkagiella (Ekvatoriála Guinea)', 'fr_CI' => 'fránskkagiella (Elfenbenariddu)', 'fr_FR' => 'fránskkagiella (Frankriika)', 'fr_GF' => 'fránskkagiella (Frankriikka Guayana)', 'fr_PF' => 'fránskkagiella (Frankriikka Polynesia)', 'fr_MF' => 'fránskkagiella (Frankriikka Saint Martin)', 'fr_GA' => 'fránskkagiella (Gabon)', 'fr_CF' => 'fránskkagiella (Gaska-Afrihká dásseváldi)', 'fr_GP' => 'fránskkagiella (Guadeloupe)', 'fr_GN' => 'fránskkagiella (Guinea)', 'fr_HT' => 'fránskkagiella (Haiti)', 'fr_CM' => 'fránskkagiella (Kamerun)', 'fr_CA' => 'fránskkagiella (Kanáda)', 'fr_KM' => 'fránskkagiella (Komoros)', 'fr_CG' => 'fránskkagiella (Kongo-Brazzaville)', 'fr_CD' => 'fránskkagiella (Kongo-Kinshasa)', 'fr_LU' => 'fránskkagiella (Luxembourg)', 'fr_MG' => 'fránskkagiella (Madagaskar)', 'fr_ML' => 'fránskkagiella (Mali)', 'fr_MA' => 'fránskkagiella (Marokko)', 'fr_MQ' => 'fránskkagiella (Martinique)', 'fr_MR' => 'fránskkagiella (Mauretánia)', 'fr_MU' => 'fránskkagiella (Mauritius)', 'fr_YT' => 'fránskkagiella (Mayotte)', 'ca_AD' => 'katalánagiella (Andorra)', 'ca_FR' => 'katalánagiella (Frankriika)', 'ca_IT' => 'katalánagiella (Itália)', 'ca_ES' => 'katalánagiella (Spánia)', 'kk' => 'kazakhgiella', 'kk_KZ' => 'kazakhgiella (Kasakstan)', 'kk_Cyrl_KZ' => 'kazakhgiella (kyrillalaš, Kasakstan)', 'kk_Cyrl' => 'kazakhgiella (kyrillalaš)', 'zh' => 'kiinnágiella', 'zh_Hans_HK' => 'kiinnágiella (álkes kiinnálaš, Hongkong)', 'zh_Hans_CN' => 'kiinnágiella (álkes kiinnálaš, Kiinná)', 'zh_Hans_MO' => 'kiinnágiella (álkes kiinnálaš, Makáo)', 'zh_Hans_SG' => 'kiinnágiella (álkes kiinnálaš, Singapore)', 'zh_Hans' => 'kiinnágiella (álkes kiinnálaš)', 'zh_Hant_HK' => 'kiinnágiella (árbevirolaš kiinnálaš, Hongkong)', 'zh_Hant_MO' => 'kiinnágiella (árbevirolaš kiinnálaš, Makáo)', 'zh_Hant_TW' => 'kiinnágiella (árbevirolaš kiinnálaš, Taiwan)', 'zh_Hant' => 'kiinnágiella (árbevirolaš kiinnálaš)', 'zh_HK' => 'kiinnágiella (Hongkong)', 'zh_CN' => 'kiinnágiella (Kiinná)', 'zh_MO' => 'kiinnágiella (Makáo)', 'zh_SG' => 'kiinnágiella (Singapore)', 'zh_TW' => 'kiinnágiella
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floss  •  :Dental fluorosis  •  :Dental follicle  •  :Dental hygienist  •  :Dental implant  •  :Dental informatics  •  :Dental instruments  •  :Dental key  •  :Dental Laboratories Association  •  :Dental laboratory  •  :Dental lamina  •  :Dental laser  •  :Dental midline  •  :Dental notation  •  :Dental papilla  •  :Dental pathology  •  :Dental pellicle  •  :Dental phobia  •  :Dental plaque  •  :Dental porcelain  •  :Dental Practitioners' Association  •  :Dental public health  •  :Dental pulp stem cells  •  :Dental radiography  •  :Dental restoration  •  :Dental restorative materials  •  :Dental sealant  •  :Dental spa  •  :Dental subluxation  •  :Dental surgery  •  :Dental syringe  •  :Dental technician  •  :Dental Technologists Association  •  :Dental therapist  •  :Dental trauma  •  :DenTek Oral Care  •  :Dentifrice  •  :Dentigerous Cyst  •  :Dentin  •  :Dentin dysplasia  •  :Dentine bonding agents  •  :Dentine hypersensitivity  •  :Dentinogenesis  •  :Dentinogenesis imperfecta  •  :Dentistry  •  :Dentistry Magazine  •  :Dentistry throughout the world  •  :Dentition  •  :Dentition analysis  •  :Dentrix  •  :Dentures  •  :Denturist  •  :Desquamative gingivitis  •  :Diane Legault  •  Diastema  •  :Dilaceration  •  :Doc Holliday  •  :Don McLeroy  •  :Donald Leake  •  :Dr. Alban  •  :Dr. Radley Tate  •  :Dr. Tariq Faraj  • E :E.Last week the liberal media ran screaming headlines after 39-year-old Natasha Ott was found dead on her kitchen floor while awaiting her coronavirus test results. Rest in peace, Natasha. Of course, the left ran with the story as a way to whip up panic and attack the Trump administration. I Hope Trump, Pence & Co Are Abreast: They Told Her She May Not Need The Test According to Los Angeles Times and multiple media reports, a 39-year old Natasha Ott, of New Orleans, health worker died having waited for others b4 testing, and while her test result was on the way. pic.twitter.com/08hiufyN4y — Ben Ikari (@wulooben) March 24, 2020 New Orleans woman, 39, dies while awaiting coronavirus test results-Natasha Ott, of New Orleans, was found dead on her kitchen floor Friday by her longtime
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LETTER SIGMA~}{~GREEK SMALL LETTER KAPPA~}{~GREEK SMALL LETTER EPSILON~}{~GREEK SMALL LETTER UPSILON~}{~GREEK SMALL LETTER ETA~} {~GREEK SMALL LETTER TAU~}{~GREEK SMALL LETTER ETA~}{~GREEK SMALL LETTER FINAL SIGMA~} {~GREEK SMALL LETTER EPSILON~}{~GREEK SMALL LETTER PI~}{~GREEK SMALL LETTER IOTA~}{~GREEK SMALL LETTER THETA~}{~GREEK SMALL LETTER UPSILON~}{~GREEK SMALL LETTER MU~}{~GREEK SMALL LETTER IOTA~}{~GREEK SMALL LETTER ALPHA~}{~GREEK SMALL LETTER FINAL SIGMA~}." (_Non enim explendis desideriis libertas comparatur, sed tollenda cupiditate._) The collected quotations in the "_Historia Philosophiae Graeco-Romanae_" of Ritter and Preller may be taken as proofs of what I have said, in the place referred to above, about the {~GREEK SMALL LETTER OMICRON WITH DASIA~}{~GREEK SMALL LETTER MU~}{~GREEK SMALL LETTER OMICRON~}{~GREEK SMALL LETTER LAMDA~}{~GREEK SMALL LETTER OMICRON~}{~GREEK SMALL LETTER GAMMA~}{~GREEK SMALL LETTER OMICRON~}{~GREEK SMALL LETTER UPSILON~}{~GREEK SMALL LETTER MU~}{~GREEK SMALL LETTER EPSILON~}{~GREEK SMALL LETTER NU~}{~GREEK SMALL LETTER OMEGA~}{~GREEKLETTER OMICRON~}{~GREEK SMALL LETTER NU~}{~GREEK SMALL LETTER TAU~}{~GREEK SMALL LETTER OMICRON~}{~GREEK SMALL LETTER SIGMA~} {~GREEK SMALL LETTER ETA WITH DASIA AND YPOGEGRAMMENI~} {~GREEK SMALL LETTER OMICRON~}{~GREEK SMALL LETTER NU~}, {~GREEK SMALL LETTER TAU~}{~GREEK SMALL LETTER ALPHA~}{~GREEK SMALL LETTER UPSILON~}{~GREEK SMALL LETTER TAU~}{~GREEK SMALL LETTER ETA~}{~GREEK SMALL LETTER FINAL SIGMA~} {~GREEK SMALL LETTER ALPHA~}{~GREEK SMALL LETTER NU~} {~GREEK SMALL LETTER EPSILON~}{~GREEK SMALL LETTER IOTA~}{~GREEK SMALL LETTER ETA~} {~GREEK SMALL LETTER THETA~}{~GREEK SMALL LETTER EPSILON~}{~GREEK SMALL LETTER OMEGA~}{~GREEK SMALL LETTER RHO~}{~GREEK SMALL LETTER ETA~}{~GREEK SMALL LETTER SIGMA~}{~GREEK SMALL LETTER ALPHA~}{~GREEK SMALL LETTER IOTA~}." (_Si igitur non est aliqua alia substantia, proeter eas, quoe natura consistunt, physica profecto prima scientia esset: quodsi autem est aliqua substantia immobilis, hoec prior et philosophia prima, et universalis sic, quod prima; et de ente, prout ens est, speculari hujus est_),
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WAS ALSO FELT BACK THEN, THE SEGREGATION ANY QUALITY AND INGEST WAS ALSO FELT BACK THEN, THE SEGREGATION ANY QUALITY AND INGEST WAS ALSO FELT BACK THEN, THE SEGREGATION IMPACT ANY QUALITY AND INGEST WAS ALSO FELT BACK THEN, THE SEGREGATION IMPACT NUMBER ANY QUALITY AND INGEST WAS ALSO FELT BACK THEN, THE SEGREGATION IMPACT NUMBER ONE ANY QUALITY AND INGEST WAS ALSO FELT BACK THEN, THE SEGREGATION IMPACT NUMBER ONE SO ANY QUALITY AND INGEST WAS ALSO FELT BACK THEN, THE SEGREGATION IMPACT NUMBER ONE SO IMPACT ANY QUALITY AND INGEST WAS ALSO FELT BACK THEN, THE SEGREGATION IMPACT NUMBER ONE SO IMPACT ON FELT BACK THEN, THE SEGREGATION IMPACT NUMBER ONE SO IMPACT ON FELT BACK THEN, THE SEGREGATION IMPACT NUMBER ONE SO IMPACT ON THE FELT BACK THEN, THE SEGREGATION IMPACT NUMBER ONE SO IMPACT ON THE RACETRACK FELT BACK THEN, THE SEGREGATION IMPACT NUMBER ONE SO IMPACT ON THE RACETRACK HORSERACING FELT BACK THEN, THE SEGREGATION IMPACT NUMBERONE SO IMPACT ON THE RACETRACK HORSERACING 15 FELT BACK THEN, THE SEGREGATION IMPACT NUMBER ONE SO IMPACT ON THE RACETRACK HORSERACING 15 OF IMPACT NUMBER ONE SO IMPACT ON THE RACETRACK HORSERACING 15 OF IMPACT NUMBER ONE SO IMPACT ON THE RACETRACK HORSERACING 15 OF THE IMPACT NUMBER ONE SO IMPACT ON THE RACETRACK HORSERACING 15 OF THE FIRST IMPACT NUMBER ONE SO IMPACT ON THE RACETRACK HORSERACING 15 OF THE FIRST 28 IMPACT NUMBER ONE SO IMPACT ON THE RACETRACK HORSERACING 15 OF THE FIRST 28 DERBY IMPACT NUMBER ONE SO IMPACT ON THE RACETRACK HORSERACING 15 OF THE FIRST 28 DERBY ONE IMPACT NUMBER ONE SO IMPACT ON THE RACETRACK HORSERACING 15 OF THE FIRST 28 DERBY ONE BY THE RACETRACK HORSERACING 15 OF THE FIRST 28 DERBY ONE BY THE RACETRACK HORSERACING 15 OF THE FIRST 28 DERBY ONE BY AFRICAN-AMERICAN THE RACETRACK HORSERACING 15 OF THE FIRST 28 DERBY ONE BY AFRICAN-AMERICAN JOB THE RACETRACK HORSERACING
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tudo", DlgFlashScaleNoBorder : "Sem Limites", DlgFlashScaleFit : "Tamanho Exacto", // Link Dialog DlgLnkWindowTitle : "Hiperligação", DlgLnkInfoTab : "Informação de Hiperligação", DlgLnkTargetTab : "Destino", DlgLnkType : "Tipo de Hiperligação", DlgLnkTypeURL : "URL", DlgLnkTypeAnchor : "Referência a esta página", DlgLnkTypeEMail : "E-Mail", DlgLnkProto : "Protocolo", DlgLnkProtoOther : "<outro>", DlgLnkURL : "URL", DlgLnkAnchorSel : "Seleccionar una referência", DlgLnkAnchorByName : "Por Nome de Referência", DlgLnkAnchorById : "Por ID de elemento", DlgLnkNoAnchors : "(Não há referências disponíveis no documento)", DlgLnkEMail : "Endereço de E-Mail", DlgLnkEMailSubject : "Título de Mensagem", DlgLnkEMailBody : "Corpo da Mensagem", DlgLnkUpload : "Carregar", DlgLnkBtnUpload : "Enviar ao Servidor", DlgLnkTarget : "Destino", DlgLnkTargetFrame : "<Frame>", DlgLnkTargetPopup : "<Janela de popup>", DlgLnkTargetBlank : "Nova Janela(_blank)", DlgLnkTargetParent : "Janela Pai (_parent)", DlgLnkTargetSelf : "Mesma janela (_self)", DlgLnkTargetTop : "Janela primaria (_top)", DlgLnkTargetFrameName : "Nome do Frame Destino", DlgLnkPopWinName : "Nome da Janela de Popup", DlgLnkPopWinFeat : "Características de Janela de Popup", DlgLnkPopResize : "Ajustável", DlgLnkPopLocation : "Barra de localização", DlgLnkPopMenu : "Barra de Menu", DlgLnkPopScroll : "Barras de deslocamento", DlgLnkPopStatus : "Barra de Estado", DlgLnkPopToolbar : "Barra de Ferramentas", DlgLnkPopFullScrn : "Janela Completa (IE)", DlgLnkPopDependent : "Dependente (Netscape)", DlgLnkPopWidth : "Largura", DlgLnkPopHeight : "Altura", DlgLnkPopLeft : "Posição Esquerda", DlgLnkPopTop : "Posição Direita", DlnLnkMsgNoUrl : "Por favor introduza a hiperligação URL", DlnLnkMsgNoEMail : "Por favor introduza o endereço de e-mail", DlnLnkMsgNoAnchor : "Por favor seleccione umato customers, leads to increase in adoption of virtual assistance. Moreover, rise in adoption of smartphones across the globe and new development in technologies, makes the virtual assistant market more demanding during the projection period. Regional segmentation includes the current and forecast demand for North America, Europe, Asia Pacific, Middle East and Africa and Latin America. The segmentation also includes by services, by technology, by end-use and application in all regions. These include different business strategies adopted by the leading players and their recent developments. The report covers a detailed competitive outlook that includes the market share and company profiles of key players operating in the global market. Key players profiled in the report include IBM Corporation, eGain Communications, Clara Labs, Nuance Communications, Creative Virtual Ltd. and few others. Try Sample
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76.42, 37.97) – ( 76.50, 37.98) – ( 76.57, 38.00) – ( 76.64, 38.01) – ( 76.71, 38.02) – ( 76.79, 38.04) – ( 76.86, 38.05) – ( 76.93, 38.07) – ( 77.00, 38.08) – ( 77.07, 38.10) – ( 77.14, 38.11) – ( 77.21, 38.13) – ( 77.28, 38.14) – ( 77.35, 38.16) – ( 77.42, 38.17) – ( 77.48, 38.18) – ( 77.55, 38.20) – ( 77.62, 38.21) – ( 77.69, 38.23) – ( 77.75, 38.24) – ( 77.82, 38.26) – ( 77.89, 38.27) – ( 77.95, 38.29) – ( 78.02, 38.30) – ( 78.08, 38.32) – ( 78.15, 38.33) – ( 78.21, 38.34) – ( 78.27, 38.36) – ( 78.34, 38.37) – ( 78.40, 38.39) – ( 78.46, 38.40) – ( 78.53, 38.42) – (78.59, 38.43) – ( 78.65, 38.45) – ( 78.71, 38.46) – ( 78.77, 38.48) – ( 78.83, 38.49) – ( 78.89, 38.50) – ( 78.95, 38.52) – ( 79.01, 38.53) – ( 79.07, 38.55) – ( 79.13, 38.56) – ( 79.19, 38.58) – ( 79.25, 38.59) – ( 79.31, 38.61) – ( 79.37, 38.62) – ( 79.43, 38.63) – ( 79.48, 38.65) – ( 79.54, 38.66) – ( 79.60, 38.68) – ( 79.66, 38.69) – ( 79.71, 38.71) – ( 79.77, 38.72) – ( 79.83, 38.74) – ( 79.88, 38.75) – ( 79.94, 38.76) – ( 79.99, 38.78) – ( 80.05, 38.79) – ( 80.10, 38.81) – ( 80.16, 38.82) – ( 80.21, 38.84) – ( 80.27, 38.85) – ( 80.32, 38.87) – ( 80.38, 38.88) – (
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231 APAC: Biological Meshes Market, By Type, 2016�2023 (USD Million) Table 232 APAC: Bone-Graft Substitutes Market, By Type, 2016�2023 (USD Million) Table 233 APAC: Biosurgery Market, By Application, 2016�2023 (USD Million) Table 234 Japan: Key Macroindicators for the Biosurgery Market Table 235 Japan: Biosurgery Market, By Product, 2016�2023 (USD Million) Table 236 Japan: Surgical Sealants and Adhesives Market, By Type, 2016�2023 (USD Million) Table 237 Japan: Natural/Biological Sealants Market, By Type, 2016�2023 (USD Million) Table 238 Japan: Natural/Biological Sealants Market, By Origin, 2016�2023 (USD Million) Table 239 Japan: Synthetic and Semi-Synthetic Sealants Market, By Type, 2016�2023 (USD Million) Table 240 Japan: Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 241 Japan: Natural Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 242 Japan: Synthetic Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 243 Japan: Soft-Tissue Attachment Market, ByType, 2016�2023 (USD Million) Table 244 Japan: Biological Meshes Market, By Type, 2016�2023 (USD Million) Table 245 Japan: Bone-Graft Substitutes Market, By Type, 2016�2023 (USD Million) Table 246 Japan: Biosurgery Market, By Application, 2016�2023 (USD Million) Table 247 China: Key Macroindicators for the Biosurgery Market Table 248 China: Biosurgery Market, By Product, 2016�2023 (USD Million) Table 249 China: Surgical Sealants and Adhesives Market, By Type, 2016�2023 (USD Million) Table 250 China: Natural/Biological Sealants Market, By Type, 2016�2023 (USD Million) Table 251 China: Natural/Biological Sealants Market, By Origin, 2016�2023 (USD Million) Table 252 China: Synthetic and Semi-Synthetic Sealants Market, By Type, 2016�2023 (USD Million) Table 253 China: Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 254 China: Natural Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 255 China: Synthetic Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 256 China:
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THE LATE DR. MARTIN >> A LOT OF PEOPLE ALL OVER THE COMMUNITY HONORED THE LATE DR. MARTIN LUTHER >> A LOT OF PEOPLE ALL OVER THE COMMUNITY HONORED THE LATE DR. MARTIN LUTHER KING >> A LOT OF PEOPLE ALL OVER THE COMMUNITY HONORED THE LATE DR. MARTIN LUTHER KING JR. COMMUNITY HONORED THE LATE DR. MARTIN LUTHER KING JR. COMMUNITY HONORED THE LATE DR. MARTIN LUTHER KING JR. >> COMMUNITY HONORED THE LATE DR. MARTIN LUTHER KING JR. >> WHILE COMMUNITY HONORED THE LATE DR. MARTIN LUTHER KING JR. >> WHILE MANY COMMUNITY HONORED THE LATE DR. MARTIN LUTHER KING JR. >> WHILE MANY PEOPLE COMMUNITY HONORED THE LATE DR. MARTIN LUTHER KING JR. >> WHILE MANY PEOPLE HAVE COMMUNITY HONORED THE LATE DR. MARTIN LUTHER KING JR. >> WHILE MANY PEOPLE HAVE HAD MARTIN LUTHER KING JR. >> WHILE MANY PEOPLE HAVE HAD MARTIN LUTHER KING JR. >> WHILE MANY PEOPLE HAVE HAD THE MARTIN LUTHER KING JR. >> WHILE MANY PEOPLEHAVE HAD THE DAY MARTIN LUTHER KING JR. >> WHILE MANY PEOPLE HAVE HAD THE DAY OFF MARTIN LUTHER KING JR. >> WHILE MANY PEOPLE HAVE HAD THE DAY OFF FROM MARTIN LUTHER KING JR. >> WHILE MANY PEOPLE HAVE HAD THE DAY OFF FROM WORK, MARTIN LUTHER KING JR. >> WHILE MANY PEOPLE HAVE HAD THE DAY OFF FROM WORK, THE >> WHILE MANY PEOPLE HAVE HAD THE DAY OFF FROM WORK, THE >> WHILE MANY PEOPLE HAVE HAD THE DAY OFF FROM WORK, THE MANTRA+@ >> WHILE MANY PEOPLE HAVE HAD THE DAY OFF FROM WORK, THE MANTRA+@ FOR >> WHILE MANY PEOPLE HAVE HAD THE DAY OFF FROM WORK, THE MANTRA+@ FOR TODAY >> WHILE MANY PEOPLE HAVE HAD THE DAY OFF FROM WORK, THE MANTRA+@ FOR TODAY IS >> WHILE MANY PEOPLE HAVE HAD THE DAY OFF FROM WORK, THE MANTRA+@ FOR TODAY IS REALLY >> WHILE MANY PEOPLE HAVE HAD THE DAY OFF FROM WORK,
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