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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.
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"pile_set_name": [
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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}",
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"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}",
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"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"
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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": [
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"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"
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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"
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"UNKNOWN (505)",
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"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",
| {
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"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
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{
| {
"pile_set_name": [
"Github",
"Github"
]
} | 835,157 |
$%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)",
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"UNKNOWN (348)",
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"UNKNOWN (352)",
"UNKNOWN (353)",
"UNKNOWN (354)",
"UNKNOWN (355)",
"UNKNOWN (356)",
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"UNKNOWN (359)",
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"UNKNOWN | {
"pile_set_name": [
"Github",
"Github"
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} | 44,433,710 |
"UNKNOWN (213)",
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"UNKNOWN (218)",
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"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": [
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"Github"
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} | 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"
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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"
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} | 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"
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} | 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"
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} | 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, | {
"pile_set_name": [
"ArXiv",
"ArXiv"
]
} | 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": [
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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: | {
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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.
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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.
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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).
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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 | {
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rdfs:isDefinedBy northwind:DLF-Category (categories.CategoryID) .
northwind:DLF-CategoryPhoto(categories.CategoryID)
a northwind:CategoryPhoto
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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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'replace' => '\\1 2019',
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array (
'match' => '((0B01|0B3F|0B56|E06B|E041|E064|E06D|E070|E089|E08C)) 0B4D',
'replace' => '\\1 2019',
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array (
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'replace' => '\\1 2019',
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"pile_set_name": [
"Github",
"Github"
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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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35.61) – ( 86.45, 35.61) – ( 86.48, 35.61) – ( 86.51, 35.61) – ( 86.54, 35.61) – ( 86.58, 35.61) – ( 86.61, 35.61) – ( 86.64, 35.61) – ( 86.67, 35.61) – ( 86.71, 35.62) – ( 86.74, 35.62) – ( 86.77, 35.62) – ( 86.80, 35.62) – ( 86.83, 35.62) – ( 86.86, 35.62) – ( 86.90, 35.62) – ( 86.93, 35.62) – ( 86.96, 35.62) – ( 86.99, 35.62) – ( 87.02, 35.62) – ( 87.05, 35.62) – ( 87.09, 35.62) – ( 87.12, 35.62) – ( 87.15, 35.62) – ( 87.18, 35.62) – ( 87.21, 35.62) – ( 87.24, 35.62) – ( 87.27, 35.62) – ( 87.30, 35.62) – ( 87.33, 35.62) – ( 87.36, 35.62) – ( 87.39, 35.62) – ( 87.42,35.66) – ( 90.82, 35.66) – ( 90.85, 35.66) – ( 90.87, 35.66) – ( 90.89, 35.66) – ( 90.92, 35.66) – ( 90.94, 35.66) – ( 90.96, 35.66) – ( 90.98, 35.66) – ( 91.01, 35.66) – ( 91.03, 35.66) – ( 91.05, 35.66) – ( 91.07, 35.66) – ( 91.10, 35.66) – ( 91.12, 35.66) – ( 91.14, 35.66) – ( 91.16, 35.66) – ( 91.19, 35.66) – ( 91.21, 35.66) – ( 91.23, 35.66) – ( 91.25, 35.66) – ( 91.28, 35.66) – ( 91.30, 35.66) – ( 91.32, 35.66) – ( 91.34, 35.66) – ( 91.36, 35.66) – ( 91.39, 35.66) – ( 91.41, 35.66) – ( 91.43, 35.66) – ( 91.45, 35.66) – ( 91.47, 35.66) – ( 91.50, 35.66) – ( 91.52, | {
"pile_set_name": [
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"pile_set_name": [
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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"
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} | 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"
]
} | 43,253,539 |
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.
>> | {
"pile_set_name": [
"YoutubeSubtitles",
"YoutubeSubtitles"
]
} | 8,561,592 |
"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",
| {
"pile_set_name": [
"Github",
"Github"
]
} | 42,277,154 |
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 | {
"pile_set_name": [
"StackExchange",
"Gutenberg (PG-19)"
]
} | 6,226,047 |
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
| {
"pile_set_name": [
"Github",
"Github"
]
} | 44,439,478 |
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": [
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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 | {
"pile_set_name": [
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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 | {
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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) => '');
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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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"UNKNOWN (266)",
"UNKNOWN (267)",
"UNKNOWN (268)",
"UNKNOWN (269)",
"UNKNOWN (270)",
"UNKNOWN (271)",
"WM_INITDIALOG",
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"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)",
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"UNKNOWN (317)",
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(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_), | {
"pile_set_name": [
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} | 50,261,744 |
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.
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