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to 17 years: Speak only English Speak other languages: Speak English "very well" Speak English "well" Speak English "not well" Speak English "not at all" 18 to 64 years: (Repeat LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH) 65 years and over: (Repeat LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH) PCT62G. AGE BY LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH FOR THE POPULATION 5 YEARS AND OVER (TWO OR MORE RACES) [22] Universe: Two or more races population 5 years and over Total: 5 to 17 years: Speak only English Speak other languages: Speak English "very well" Speak English "well" Speak English "not well" Speak English "not at all" 18 to 64 years: (Repeat LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH) 65 years and over: (Repeat LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH) PCT62H. AGE BY LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISHFOR THE POPULATION 5 YEARS AND OVER (HISPANIC OR LATINO) [22] Universe: Hispanic or Latino population 5 years and over Total: 5 to 17 years: Speak only English Speak other languages: Speak English "very well" Speak English "well" Speak English "not well" Speak English "not at all" 18 to 64 years: (Repeat LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH) 65 years and over: (Repeat LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH) PCT62I. AGE BY LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH FOR THE POPULATION 5 YEARS AND OVER (WHITE ALONE, NOT HISPANIC OR LATINO)[22] Universe: White alone, not Hispanic or Latino population 5 years and over Total: 5 to 17 years: Speak only English Speak other languages: Speak English "very well" Speak English "well" Speak English "not well" Speak English "not at all" 18 to 64 years: (Repeat LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH) 65 years and
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PORT , SOURCE_BLOCK ) : SUCCESS Xcos debug: propertyUpdated( 14 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated( 14 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos info: objectCreated( 15 , PORT ) Xcos debug: propertyUpdated( 15 , PORT , SOURCE_BLOCK ) : SUCCESS Xcos debug: propertyUpdated( 15 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated( 15 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos debug: propertyUpdated( 13 , BLOCK , INPUTS ) : SUCCESS Xcos info: objectCreated( 16 , PORT ) Xcos debug: propertyUpdated( 16 , PORT , SOURCE_BLOCK ) : SUCCESS Xcos debug: propertyUpdated( 16 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated( 16 , PORT ,CONNECTED_SIGNALS ) : NO_CHANGES Xcos debug: propertyUpdated( 13 , BLOCK , OUTPUTS ) : SUCCESS Xcos trace: propertyUpdated( 13 , BLOCK , DESCRIPTION ) : NO_CHANGES Xcos trace: propertyUpdated( 14 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: propertyUpdated( 15 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: propertyUpdated( 16 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: objectUnreferenced( 13 , BLOCK ) : 0 Xcos trace: objectReferenced( 13 , BLOCK ) : 1 Xcos debug: propertyUpdated( 13 , BLOCK , SIM_FUNCTION_NAME ) : SUCCESS Xcos debug: propertyUpdated( 13 , BLOCK , SIM_FUNCTION_API ) : SUCCESS Xcos debug: propertyUpdated( 14 , PORT , DATATYPE ) : SUCCESS Xcos debug: propertyUpdated( 15 , PORT ,
{ "pile_set_name": [ "Github", "Github" ] }
47,297,244
: NO_CHANGES Xcos debug: propertyUpdated( 21 , BLOCK , RPAR ) : SUCCESS Xcos trace: propertyUpdated( 21 , BLOCK , OPAR ) : NO_CHANGES Xcos trace: propertyUpdated( 21 , BLOCK , EQUATIONS ) : NO_CHANGES Xcos debug: propertyUpdated( 21 , BLOCK , SIM_DEP_UT ) : SUCCESS Xcos trace: propertyUpdated( 21 , BLOCK , NZCROSS ) : NO_CHANGES Xcos trace: propertyUpdated( 21 , BLOCK , NMODE ) : NO_CHANGES Xcos debug: propertyUpdated( 21 , BLOCK , IPAR ) : SUCCESS Xcos trace: propertyUpdated( 21 , BLOCK , COLOR ) : NO_CHANGES Xcos trace: propertyUpdated( 21 , BLOCK , CONTEXT ) : NO_CHANGES Xcos trace: propertyUpdated( 21 , BLOCK , PARENT_DIAGRAM ) : NO_CHANGES Xcos info: objectCreated( 22, PORT ) Xcos info: objectCloned( 7 , 22 , PORT ) Xcos trace: propertyUpdated( 22 , PORT , FIRING ) : NO_CHANGES Xcos debug: propertyUpdated( 22 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated( 22 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: propertyUpdated( 22 , PORT , UID ) : NO_CHANGES Xcos trace: propertyUpdated( 22 , PORT , STYLE ) : NO_CHANGES Xcos trace: propertyUpdated( 22 , PORT , LABEL ) : NO_CHANGES Xcos debug: propertyUpdated( 22 , PORT , DATATYPE ) : SUCCESS Xcos debug: propertyUpdated( 22 , PORT , SOURCE_BLOCK ) : SUCCESS Xcos trace: propertyUpdated( 22 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos info: objectCreated( 23
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47,297,259
we take on St. Anne Tomball in the R AC gym. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181128T163000 DTEND:20181128T235900 SUMMARY:Boys Basketball at St. Martha DESCRIPTION:Cheer on the Crusaders as we take on St. Martha. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181129T163000 DTEND:20181129T235900 SUMMARY:Girls Basketball at St. Edwards (Cancelled) DESCRIPTION:St. Edwards had to cancel their girls season. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181203T163000 DTEND:20181203T235900 SUMMARY:Boys Basketball vs. St. Anthony of Padua DESCRIPTION:Cheer on the Crusaders as we take on St. Anthony of Padua in t he RAC. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181204T163000 DTEND:20181204T235900 SUMMARY:Girls Basketball at St. Ambrose DESCRIPTION:Cheer on the Crusaders as we take on St. Ambrose. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181207T163000 DTEND:20181207T235900 SUMMARY:Boys Basketball vs. St. Elizabeth Ann Seton DESCRIPTION:Cheer on the Crusaders as we take on St. Elizabeth Ann Seton i n the RAC. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181210T163000 DTEND:20181210T235900 SUMMARY:Boys Basketball vs. St. Edwards DESCRIPTION:Cheer on the Crusaders as we take on St. Edwards in the RAC. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181211T163000 DTEND:20181211T235900 SUMMARY:Girls Basketball at St. Anthony of Padua DESCRIPTION:Cheer on the Crusaders as we take on St. Anthony of Padua. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181214T163000 DTEND:20181214T235900 SUMMARY:Girls Basketball vs. St. Elizabeth Ann Seton DESCRIPTION:Cheer onthe Crusaders as we take on St. Elizabeth Ann Seton i n the RAC gym. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20190108T163000 DTEND:20190108T235900 SUMMARY:Boys Basketball at Regis DESCRIPTION:Cheer on the Crusaders as we take on Regis. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20190110T163000 DTEND:20190110T235900 SUMMARY:Girls Basketball at St. Anne Tomball DESCRIPTION:Cheer on the Crusaders as we take on St. Anne Tomball. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20190111T163000 DTEND:20190111T235900 SUMMARY:Boys Basketball vs. St. Ambrose DESCRIPTION:Cheer on the Crusaders as we take on St. Ambrose in the RAC. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20190114T163000 DTEND:20190114T235900 SUMMARY:Boys Basketball vs. St. Martha DESCRIPTION:Cheer on the Crusaders as we take on St. Martha in the RAC. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20190115T163000 DTEND:20190115T235900 SUMMARY:Girls Basketball vs. St. Edwards (Cancelled) DESCRIPTION:St. Edwards had to cancel their girls season. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20190116T163000 DTEND:20190116T235900 SUMMARY:Boys Basketball at St. Anthony of Padua DESCRIPTION:Cheer on the Crusaders as we take on St. Anthony of Padua. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20190117T163000 DTEND:20190117T235900 SUMMARY:Girls Basketball vs. St. Ambrose DESCRIPTION:Cheer on the Crusaders as we take on St. Ambrose in the RAC gy m. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20190122T163000 DTEND:20190122T235900 SUMMARY:Boys Basketball at St. Anne Tomball DESCRIPTION:Cheer on the Crusaders as we
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57,841,444
Medium | | 337 | [打家劫舍 III](../../problems/house-robber-iii) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 333 | [最大 BST 子树](../../problems/largest-bst-subtree) 🔒 | [[树](../tree/README.md)] | Medium | | 298 | [二叉树最长连续序列](../../problems/binary-tree-longest-consecutive-sequence) 🔒 | [[树](../tree/README.md)] | Medium | | 297 | [二叉树的序列化与反序列化](../../problems/serialize-and-deserialize-binary-tree) | [[树](../tree/README.md)] [[设计](../design/README.md)] | Hard | | 285 | [二叉搜索树中的顺序后继](../../problems/inorder-successor-in-bst) 🔒 | [[树](../tree/README.md)] | Medium | | 272 | [最接近的二叉搜索树值 II](../../problems/closest-binary-search-tree-value-ii) 🔒 | [[栈](../stack/README.md)] [[树](../tree/README.md)] | Hard | | 270 | [最接近的二叉搜索树值](../../problems/closest-binary-search-tree-value) 🔒 | [[树](../tree/README.md)] [[二分查找](../binary-search/README.md)] | Easy | | 257 | [二叉树的所有路径](../../problems/binary-tree-paths) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Easy | | 255 | [验证前序遍历序列二叉搜索树](../../problems/verify-preorder-sequence-in-binary-search-tree) 🔒 | [[栈](../stack/README.md)] [[树](../tree/README.md)] | Medium | | 250 | [统计同值子树](../../problems/count-univalue-subtrees) 🔒 | [[树](../tree/README.md)] | Medium | | 236 | [二叉树的最近公共祖先](../../problems/lowest-common-ancestor-of-a-binary-tree) | [[树](../tree/README.md)] | Medium | | 235 | [二叉搜索树的最近公共祖先](../../problems/lowest-common-ancestor-of-a-binary-search-tree) | [[树](../tree/README.md)] | Easy | | 230| [二叉搜索树中第K小的元素](../../problems/kth-smallest-element-in-a-bst) | [[树](../tree/README.md)] [[二分查找](../binary-search/README.md)] | Medium | | 226 | [翻转二叉树](../../problems/invert-binary-tree) | [[树](../tree/README.md)] | Easy | | 222 | [完全二叉树的节点个数](../../problems/count-complete-tree-nodes) | [[树](../tree/README.md)] [[二分查找](../binary-search/README.md)] | Medium | | 199 | [二叉树的右视图](../../problems/binary-tree-right-side-view) | [[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)] | Medium | | 173 | [二叉搜索树迭代器](../../problems/binary-search-tree-iterator) | [[栈](../stack/README.md)] [[树](../tree/README.md)] [[设计](../design/README.md)] | Medium | | 156 | [上下翻转二叉树](../../problems/binary-tree-upside-down) 🔒 | [[树](../tree/README.md)] | Medium | | 145 | [二叉树的后序遍历](../../problems/binary-tree-postorder-traversal) | [[栈](../stack/README.md)] [[树](../tree/README.md)] | Medium | | 144 | [二叉树的前序遍历](../../problems/binary-tree-preorder-traversal) | [[栈](../stack/README.md)] [[树](../tree/README.md)] | Medium | | 129 | [求根到叶子节点数字之和](../../problems/sum-root-to-leaf-numbers) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 124 | [二叉树中的最大路径和](../../problems/binary-tree-maximum-path-sum) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Hard | | 117 | [填充每个节点的下一个右侧节点指针 II](../../problems/populating-next-right-pointers-in-each-node-ii) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 116 | [填充每个节点的下一个右侧节点指针](../../problems/populating-next-right-pointers-in-each-node) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 114 | [二叉树展开为链表](../../problems/flatten-binary-tree-to-linked-list) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)]
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96.36, 47.39) – ( 96.37, 47.41) – ( 96.39, 47.42) – ( 96.40, 47.43) – ( 96.42, 47.45) – ( 96.43, 47.46) – ( 96.44, 47.47) – ( 96.46, 47.49) – ( 96.47, 47.50) – ( 96.49, 47.52) – ( 96.50, 47.53) – ( 96.52, 47.54) – ( 96.53, 47.56) – ( 96.55, 47.57) – ( 96.56, 47.58) – ( 96.58, 47.60) – ( 96.59, 47.61) – ( 96.60, 47.62) – ( 96.62, 47.64) – ( 96.63, 47.65) – ( 96.65, 47.66) – ( 96.66, 47.68) – ( 96.68, 47.69) – ( 96.69, 47.70) – ( 96.71, 47.72) – ( 96.72, 47.73) – ( 96.73, 47.74) – ( 96.75, 47.76) – ( 96.76, 47.77) – ( 96.78, 47.78) – ( 96.79, 47.80) – ( 96.81, 47.81) – (98.11, 49.11) – ( 98.12, 49.12) – ( 98.14, 49.14) – ( 98.15, 49.15) – ( 98.16, 49.16) – ( 98.17, 49.18) – ( 98.19, 49.19) – ( 98.20, 49.20) – ( 98.21, 49.22) – ( 98.22, 49.23) – ( 98.24, 49.24) – ( 98.25, 49.26) – ( 98.26, 49.27) – ( 98.28, 49.28) – ( 98.29, 49.30) – ( 98.30, 49.31) – ( 98.31, 49.32) – ( 98.33, 49.34) – ( 98.34, 49.35) – ( 98.35, 49.36) – ( 98.36, 49.38) – ( 98.38, 49.39) – ( 98.39, 49.40) – ( 98.40, 49.42) – ( 98.41, 49.43) – ( 98.43, 49.44) – ( 98.44, 49.46) – ( 98.45, 49.47) – ( 98.46, 49.48) – ( 98.48, 49.50) – ( 98.49, 49.51) – ( 98.50, 49.52) – (
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3,019,969
LOVES THEM AND LOVES, LOVES THEM AND ALAN,--ELLEN LOVES, LOVES THEM AND ALAN,--ELLEN YOU LOVES, LOVES THEM AND ALAN,--ELLEN YOU WERE ALAN,--ELLEN YOU WERE ALAN,--ELLEN YOU WERE ATTRACTED ALAN,--ELLEN YOU WERE ATTRACTED BY ALAN,--ELLEN YOU WERE ATTRACTED BY THE ALAN,--ELLEN YOU WERE ATTRACTED BY THE COLORS, ATTRACTED BY THE COLORS, ATTRACTED BY THE COLORS, TO ATTRACTED BY THE COLORS, TO SHOW ATTRACTED BY THE COLORS, TO SHOW BELOW ATTRACTED BY THE COLORS, TO SHOW BELOW WITH ATTRACTED BY THE COLORS, TO SHOW BELOW WITH HSN? TO SHOW BELOW WITH HSN? TO SHOW BELOW WITH HSN? >>CALLER: TO SHOW BELOW WITH HSN? >>CALLER: FOR TO SHOW BELOW WITH HSN? >>CALLER: FOR MANY >>CALLER: FOR MANY >>CALLER: FOR MANY YEARS, >>CALLER: FOR MANY YEARS, YES!-- >>CALLER: FOR MANY YEARS, YES!-- BEFORE YEARS, YES!-- BEFORE YEARS, YES!-- BEFORE >>HOST: YEARS, YES!-- BEFORE >>HOST: WE YEARS, YES!-- BEFORE >>HOST: WE ARE YEARS, YES!-- BEFORE >>HOST: WE ARE SO >>HOST: WEYOU BUY SIT SITTING HERE YOU BUY SIT THEM SITTING HERE YOU BUY SIT THEM AT SITTING HERE YOU BUY SIT THEM AT YOU SITTING HERE YOU BUY SIT THEM AT YOU BRING SITTING HERE YOU BUY SIT THEM AT YOU BRING HIM THEM AT YOU BRING HIM THEM AT YOU BRING HIM HOME, THEM AT YOU BRING HIM HOME, AND THEM AT YOU BRING HIM HOME, AND THEN THEM AT YOU BRING HIM HOME, AND THEN TWO THEM AT YOU BRING HIM HOME, AND THEN TWO DAYS HOME, AND THEN TWO DAYS HOME, AND THEN TWO DAYS AFTER HOME, AND THEN TWO DAYS AFTER THAT HOME, AND THEN TWO DAYS AFTER THAT THE HOME, AND THEN TWO DAYS AFTER THAT THE KNIFE HOME, AND THEN TWO DAYS AFTER THAT THE KNIFE IS AFTER THAT THE KNIFE IS AFTER THAT THE KNIFE IS SEPARATE AFTER THAT THE KNIFE IS SEPARATE FROM AFTER THAT THE KNIFE IS SEPARATE FROM THAT AFTER THAT THE KNIFE IS SEPARATE FROM THAT NEVER SEPARATE FROM
{ "pile_set_name": [ "YoutubeSubtitles", "YoutubeSubtitles" ] }
46,738,364
the notebook, and change those back that # we really don't want changed) widget_class "*<GtkNotebook>*<GtkEventBox>" style "notebook_bg" widget_class "*<GtkNotebook>*<GtkDrawingArea>" style "notebook_bg" widget_class "*<GtkNotebook>*<GtkLayout>" style "notebook_bg" widget_class "*<GtkNotebook>*<GtkLabel>" style "notebook_bg" widget_class "*<GtkScrolledWindow>*" style "scrolledwindow" # Toolbar default: dark class "*HandleBox" style "pixmap-dark-toolbar" class "GtkToolbar" style "pixmap-dark-toolbar" widget_class "*HandleBox" style "pixmap-dark-toolbar" widget_class "*<GtkToolbar>.*" style "dark-toolbar" widget_class "*<GtkToolbar>*<GtkEntry>*" style "pixmap-dark-toolbar" widget_class "*<GtkButton>" style "button" widget_class "*<GtkButton>*<GtkLabel>" style "button" widget_class "*<GtkNotebook>" style "notebook" widget_class "*<GtkStatusbar>" style "statusbar" widget_class "*<GtkSpinButton>*" style "spinbutton" widget_class "*<GtkNotebook>*<GtkButton>" style "notebook_button" widget_class "*<GtkNotebook>*<GtkButton>*<GtkLabel>" style "notebook_button" widget_class "*<GtkRadioButton>*" style "radiocheck" widget_class "*<GtkCheckButton>*" style "radiocheck" widget_class "*<GtkComboBoxEntry>*" style "comboboxentry" widget_class "*<GtkCombo>*" style "comboboxentry" widget_class "*<GtkMenuBar>*" style "menubar" widget_class "*<GtkMenu>*" style "menu" widget_class "*<GtkMenuItem>*" style "menu_item" widget_class "*<GtkSeparatorMenuItem>*" style "separator_menu_item" widget_class "*<GtkSeparatorToolItem>*" style "separator_tool_item" widget_class "*<GtkMenuBar>*<GtkMenuItem>*" style "menubar_item" widget_class "*.<GtkFrame>.<GtkLabel>" style "frame_title" widget_class "*.<GtkTreeView>*" style "treeview" widget_class "*<GtkProgress>" style "progressbar" widget_class "*<GtkMenuItem>.*.<GtkProgressBar>" style "progressbar_menu_item" widget_class "*<GtkMenuItem>.*.<GtkScale>" style "scale_menu_item" widget_class "*<GtkMenuItem>.*.<GtkCalendar>" style "calendar_menu_item" # Treeview headers (and similar stock GTK+ widgets) widget_class "*.<GtkScrolledWindow>*<GtkTreeView>*" styleThe present invention relates to an improved fuel rail and a method of manufacturing the same. In known extruded fuel rails, integrated manifold mounts were used to mount the fuel rail to an engine manifold. As a result of the extrusion process, the manifold mount extended the length of the fuel rail. After extrusion, excess material from the manifold mount was removed from the extrusion. The excess material was removed to reduce weight, to allow room for or to avoid other engine components, and/or for general cosmetic appearances. The excess material was typically removed by shearing or machining processes. The processes add additional steps to the manufacturing process, resulting in additional time and cost to manufacture the fuel rail. Further, the previous one-piece extruded field rail was usable only
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BLOCK , PARENT_BLOCK ) : SUCCESS Xcos trace: objectReferenced( 10 , BLOCK ) : 1 Xcos trace: propertyUpdated( 10 , BLOCK , PARENT_DIAGRAM ) : NO_CHANGES Xcos debug: propertyUpdated( 10 , BLOCK , PARENT_BLOCK ) : SUCCESS Xcos trace: objectReferenced( 13 , BLOCK ) : 1 Xcos trace: propertyUpdated( 13 , BLOCK , PARENT_DIAGRAM ) : NO_CHANGES Xcos debug: propertyUpdated( 13 , BLOCK , PARENT_BLOCK ) : SUCCESS Xcos debug: propertyUpdated( 2 , BLOCK , CHILDREN ) : SUCCESS Xcos trace: objectUnreferenced( 3 , BLOCK ) : 0 Xcos trace: objectUnreferenced( 6 , BLOCK ) : 0 Xcos trace: objectUnreferenced( 10 , BLOCK ) : 0 Xcos trace: objectUnreferenced( 13 , BLOCK ) : 0 Xcos trace: propertyUpdated( 2 , BLOCK , INTERFACE_FUNCTION ) : SUCCESS Xcos info: objectCreated( 17 , BLOCK ) Xcos info: objectCloned( 2 , 17 , BLOCK ) Xcos trace: propertyUpdated( 17 , BLOCK , SIM_FUNCTION_API ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , DESCRIPTION ) : NO_CHANGES Xcos debug: propertyUpdated( 17 , BLOCK , INTERFACE_FUNCTION ) : SUCCESS Xcos debug: propertyUpdated( 17 , BLOCK , SIM_FUNCTION_NAME ) : SUCCESS Xcos debug: propertyUpdated( 17 , BLOCK , SIM_BLOCKTYPE ) : SUCCESS Xcos trace: propertyUpdated( 17 , BLOCK , UID ) : NO_CHANGES Xcos trace: propertyUpdated( 17 , BLOCK , STYLE ) : NO_CHANGES Xcos debug: propertyUpdated( 17 , BLOCK , GEOMETRY ) : SUCCESS Xcos trace:
{ "pile_set_name": [ "Github", "Github" ] }
47,297,248
At a stated term of the United States Court of Appeals for the Second Circuit, held at the Thurgood Marshall United States Courthouse, 40 Foley Square, in the City of New York, on the 24th day of January, two thousand fourteen. PRESENT: RICHARD C. WESLEY, PETER W. HALL, DENNY CHIN Circuit Judges.  _____________________________________ UNITED STATES OF AMERICA, Appellee, DEBORAH R. SLATER (Robert M. Spector,  on the brief), Assistant United States                                                                     Attorneys, for Dierdre M. Daly, Acting                                                                              United States Attorney for the District of                                                                          Connecticut, New Haven, CT. Appeal from a judgement of the United States District Court for the District of Connecticut (Bryant, J.).
{ "pile_set_name": [ "FreeLaw", "FreeLaw" ] }
47,447,904
This week, the British royal family welcomed its newest member, when Kate Middleton, the Duchess of Cambridge, gave birth to a baby boy. And while the baby boy may not realize it now, he’s been born into a family of extraordinary wealth and status. While their positions are mostly ceremonial today, Prince William, Kate and the rest of the British royals still represent nobility, the same nobility that our founding fathers fought to escape from nearly 250 years ago. When George Washington and the rest of our nation’s founding fathers first stepped foot on American soil, their wealth was nothing compared to that of European royalty. In fact, America didn’t have a millionaire until the middle of the George Washington administration. Our nation was formed because our founding fathers wanted to escape theF0,F1 FMOVD 184(SP), F0 FMULD F4,F0 FADDDP F0,F3 FMOVD 168(SP), F0 FMULDP F0,F4 FXCHD F0, F3 FADDDP F0,F4 FMOVD 136(SP), F0 FMULD F5,F0 FADDDP F0,F1 FXCHD F0, F3 FMOVD 184(SP), F0 FMULD F5,F0 FADDDP F0,F3 FXCHD F0, F1 FMOVD 168(SP), F0 FMULD F5,F0 FADDDP F0,F1 FMOVD 152(SP), F0 FMULDP F0,F5 FXCHD F0, F4 FADDDP F0,F1 CMPQ DX,$16 FXCHD F0, F2 FMOVD 128(SP), F0 FSUBD ·DOFFSET3MINUSTWO128(SB), F0 FADDDP F0,F1 FXCHD F0, F1 FMOVD 120(SP), F0 FSUBD ·DOFFSET2(SB), F0 FADDDP F0,F1 FXCHD F0, F3 FMOVD 112(SP), F0 FSUBD ·DOFFSET1(SB), F0 FADDDP F0,F1 FXCHD F0, F2 FMOVD 104(SP), F0 FSUBD ·DOFFSET0(SB), F0 FADDDP F0,F1 JAE MULTIPLYADDATLEAST16BYTES MULTIPLYADDATMOST15BYTES: FMOVD ·ALPHA130(SB), F0 FADDD F2,F0 FSUBD ·ALPHA130(SB), F0 FSUBD F0,F2 FMULD ·SCALE(SB), F0 FMOVD ·ALPHA32(SB), F0 FADDD F2,F0 FSUBD ·ALPHA32(SB), F0 FSUBD F0,F2 FMOVD ·ALPHA64(SB), F0 FADDD F5,F0 FSUBD ·ALPHA64(SB), F0 FSUBD F0,F5 FMOVD ·ALPHA96(SB), F0 FADDD F7,F0 FSUBD ·ALPHA96(SB), F0 FSUBD F0,F7 FXCHD F0, F7 FADDDP F0,F1 FXCHD F0, F5 FADDDP F0,F1 FXCHD F0, F3 FADDDP F0,F5 FADDDP F0,F1 FMOVD 176(SP), F0 FMULD F1,F0 FMOVD 160(SP), F0 FMULD F2,F0 FMOVD 144(SP), F0 FMULD F3,F0 FMOVD 136(SP), F0 FMULDP F0,F4 FMOVD 160(SP), F0 FMULD F5,F0 FADDDP F0,F3 FMOVD 144(SP), F0 FMULD F5,F0 FADDDP F0,F2 FMOVD 136(SP), F0 FMULD F5,F0 FADDDP F0,F1 FMOVD 184(SP), F0 FMULDP F0,F5 FXCHD F0, F4 FADDDP
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48,758,606
HOMAGE TO JOCKEYS LABOR MUSEUM DOCUMENTS THIS HISTORY PAYING HOMAGE TO JOCKEYS LABOR MUSEUM DOCUMENTS THIS HISTORY PAYING HOMAGE TO JOCKEYS LABOR FOUNDATION MUSEUM DOCUMENTS THIS HISTORY PAYING HOMAGE TO JOCKEYS LABOR FOUNDATION DERBY. MUSEUM DOCUMENTS THIS HISTORY PAYING HOMAGE TO JOCKEYS LABOR FOUNDATION DERBY. THEY MUSEUM DOCUMENTS THIS HISTORY PAYING HOMAGE TO JOCKEYS LABOR FOUNDATION DERBY. THEY WERE PAYING HOMAGE TO JOCKEYS LABOR FOUNDATION DERBY. THEY WERE PAYING HOMAGE TO JOCKEYS LABOR FOUNDATION DERBY. THEY WERE AFRICAN-AMERICAN PAYING HOMAGE TO JOCKEYS LABOR FOUNDATION DERBY. THEY WERE AFRICAN-AMERICAN AND PAYING HOMAGE TO JOCKEYS LABOR FOUNDATION DERBY. THEY WERE AFRICAN-AMERICAN AND THEIR PAYING HOMAGE TO JOCKEYS LABOR FOUNDATION DERBY. THEY WERE AFRICAN-AMERICAN AND THEIR OFTE FOUNDATION DERBY. THEY WERE AFRICAN-AMERICAN AND THEIR OFTE FOUNDATION DERBY. THEY WERE AFRICAN-AMERICAN AND THEIR OFTE FORGOTTEN FOUNDATION DERBY. THEY WERE AFRICAN-AMERICAN AND THEIR OFTE FORGOTTEN THAT FOUNDATION DERBY. THEY WERE AFRICAN-AMERICAN AND THEIR OFTE FORGOTTEN THAT IT FOUNDATION DERBY. THEY WERE AFRICAN-AMERICAN AND THEIR OFTE FORGOTTEN THAT IT HELPS FOUNDATION DERBY. THEY WERE AFRICAN-AMERICAN AND THEIR OFTE FORGOTTENNO VERY FEW BLACK HOCKEY SEGREGATION ISSUES TO NOW THERE ARE NO VERY FEW BLACK HOCKEY SPORTS. SEGREGATION ISSUES TO NOW THERE ARE NO VERY FEW BLACK HOCKEY SPORTS. CHURCHILL SEGREGATION ISSUES TO NOW THERE ARE NO VERY FEW BLACK HOCKEY SPORTS. CHURCHILL DOWNS SEGREGATION ISSUES TO NOW THERE ARE NO VERY FEW BLACK HOCKEY SPORTS. CHURCHILL DOWNS IS SEGREGATION ISSUES TO NOW THERE ARE NO VERY FEW BLACK HOCKEY SPORTS. CHURCHILL DOWNS IS BLACK ARE NO VERY FEW BLACK HOCKEY SPORTS. CHURCHILL DOWNS IS BLACK ARE NO VERY FEW BLACK HOCKEY SPORTS. CHURCHILL DOWNS IS BLACK STOCKINGS ARE NO VERY FEW BLACK HOCKEY SPORTS. CHURCHILL DOWNS IS BLACK STOCKINGS WERE ARE NO VERY FEW BLACK HOCKEY SPORTS. CHURCHILL DOWNS IS BLACK STOCKINGS WERE LEFT ARE NO VERY FEW BLACK HOCKEY SPORTS. CHURCHILL DOWNS IS BLACK STOCKINGS WERE LEFT OUT. ARE NO VERY FEW BLACK HOCKEY SPORTS. CHURCHILL DOWNS IS BLACK STOCKINGS WERE LEFT OUT. TRACY SPORTS. CHURCHILL DOWNS IS BLACK STOCKINGS
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46,257,652
type locality for species – informal †Tarphyphyllum †Tarphyphyllum cylindricum – type locality for species †Taxocrinus †Tecnocyrtina †Tecnocyrtina curvilineata †Tecnocyrtina missouriensis †Tenticospirifer †Tenticospirifer cyrtinaeformis †Tenticospirifer cyrtinaformis †Tenticospirifer shellrockensis †Tetradella †Tetradella carinata †Tetradella ellipsilira †Tetradella septinoda †Tetradella subquadrans †Tetradella ulrichi †Teutonophon †Teutonophon tangentialis †Thaerodonta †Thaerodonta recedens †Thalamocrinus †Theleproktocrinus †Theleproktocrinus davidsoni †Theodissa †Theodissa hungerfordi †Theodossia †Theodossia hungerfordi †Thomasaria †Thomasaria altumbona †Thomasatia †Thomasatia falcicosta †Thomasocrinus †Thomasocrinus cylindrica †Timeischytes †Torynifer †Trachydomia †Trachydomia variata †Tranodis †Trapezophyllum †Tremanotus †Trichinocrinus †Trigeria †Trimerella †Triplesia †Trochonema †Tropidodiscus †Trupetustroma †Trupetustroma bassleri †Trupetustroma hayense †Tubisalebra †Turbonopsis †Turbonopsis hackberryensis †Turbonopsis spiculatus – type locality for species †Tylothyris †Tylothyris bimesialis †Tylothyris inultilis †Tylothyris megista †Tylothyris mesacostalis †Tylothyris rockfordensis †Tylothyris subattenuatta †Tylothyris subvaricosa †Tylothyris sulcocostata U †Ulocrinus †Ulrichia †Ulrichia saccula †Unispirifer †Unispirifer minnewankensis – or unidentified comparable form †Unispirifer platynotus V †Variatrypa †Variatrypa arctica At a stated term of the United States Court of Appeals 2 for the Second Circuit, held at the Daniel Patrick Moynihan 3 United States Courthouse, 500 Pearl Street, in the City of 4 New York, on the 18 th day of February, two thousand
{ "pile_set_name": [ "Wikipedia (en)", "FreeLaw" ] }
1,578,320
41.00) – (136.70, 41.26) – (137.25, 41.51) – (137.77, 41.77) – (138.28, 42.02) – (138.76, 42.28) – (139.23, 42.53) – (139.68, 42.78) – (140.11, 43.03) – (140.53, 43.29) – (140.93, 43.54) – (141.32, 43.79) – (141.70, 44.04) – (142.07, 44.29) – (142.43, 44.54) – (142.78, 44.79) – (143.12, 45.03) – (143.45, 45.28) – (143.77, 45.53) – (144.08, 45.78) – (144.39, 46.02) – (144.68, 46.27) – (144.97, 46.51) – (145.26, 46.76) – (145.53, 47.00) – (145.81, 47.25) – (146.07, 47.49) – (146.33, 47.73) – (146.59, 47.97) – (146.84, 48.22) – (147.08, 48.46) – (147.32, 48.70) – (147.56, 48.94) – (147.79, 49.18) – (148.01, 49.42) – (148.24, 49.66) – (148.45, 49.89) – (148.67, 50.13) – (148.88, 50.37) – (149.09, 50.61) – (149.29, 50.84) – (149.49, 51.08) – (149.69, 51.32) –(162.88,137.02) – (168.35,141.77) – (173.82,146.35) – (179.29,150.54) – (184.76,155.30) – (190.23,159.48) – (195.70,164.14) – (201.17,168.67); ( 42.52, 35.68) – ( 48.00, 37.89) – ( 53.47, 40.09) – ( 58.94, 42.30) – ( 64.41, 44.52) – ( 69.88, 46.73) – ( 75.35, 48.92) – ( 80.82, 51.15) – ( 86.29, 53.34) – ( 91.76, 55.54) – ( 97.23, 57.76) – (102.70, 59.97) – (108.17, 62.18) – (113.64, 64.40) – (119.11, 66.60) – (124.58, 68.83) – (130.05, 71.03) – (135.52, 73.21) – (140.99, 75.44) – (146.46, 77.66) – (151.94, 79.87) – (157.41, 82.10) – (162.88, 84.23) – (168.35, 86.49) – (173.82, 88.68) – (179.29, 90.89) – (184.76, 93.10) – (190.23, 95.33) – (195.70, 97.48) – (201.17, 99.74); ( 42.52, 34.59) – ( 48.00, 35.73) – ( 53.47, 36.85) – ( 58.94, 37.97)
{ "pile_set_name": [ "ArXiv", "ArXiv" ] }
3,020,055
Portuguese: THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS CHRIST OF LATTER-DAY SAINTS. THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS CHRIST OF LATTER-DAY SAINTS. THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS CHRIST OF LATTER-DAY SAINTS. THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS CHRIST OF LATTER-DAY SAINTS. THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS CHRIST OF LATTER-DAY SAINTS. THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS CHRIST OF LATTER-DAY SAINTS. THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS CHRIST OF LATTER-DAY SAINTS. THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS CHRIST OF LATTER-DAY SAINTS. THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS CHRIST OF LATTER-DAY SAINTS. THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS CHRIST OF LATTER-DAY SAINTS. THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THEde los Santos de los Últimos días. Este es el canal de subtítulos en español de la Iglesia de Jesucristo de los Santos de los Últimos días. English: THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS CHRIST OF LATTER-DAY SAINTS. THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS CHRIST OF LATTER-DAY SAINTS. THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS CHRIST OF LATTER-DAY SAINTS. THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS CHRIST OF LATTER-DAY SAINTS. THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS CHRIST OF LATTER-DAY SAINTS. THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS CHRIST OF LATTER-DAY SAINTS. THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS CHRIST OF LATTER-DAY SAINTS. THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS CHRIST OF LATTER-DAY SAINTS. THIS IS THE ENGLISH CLOSED CAPTION CHANNEL OF THE CHURCH OF JESUS
{ "pile_set_name": [ "YoutubeSubtitles", "YoutubeSubtitles" ] }
51,649,298
propertyUpdated( 28 , BLOCK , SIM_DEP_UT ) : SUCCESS Xcos trace: propertyUpdated( 28 , BLOCK , NZCROSS ) : NO_CHANGES Xcos trace: propertyUpdated( 28 , BLOCK , NMODE ) : NO_CHANGES Xcos debug: propertyUpdated( 28 , BLOCK , IPAR ) : SUCCESS Xcos trace: propertyUpdated( 28 , BLOCK , COLOR ) : NO_CHANGES Xcos trace: propertyUpdated( 28 , BLOCK , CONTEXT ) : NO_CHANGES Xcos trace: propertyUpdated( 28 , BLOCK , PARENT_DIAGRAM ) : NO_CHANGES Xcos info: objectCreated( 29 , PORT ) Xcos info: objectCloned( 14 , 29 , PORT ) Xcos trace: propertyUpdated( 29 , PORT , FIRING ) : NO_CHANGES Xcos debug: propertyUpdated( 29 , PORT , PORT_KIND ) : SUCCESS Xcos trace: propertyUpdated( 29 , PORT , IMPLICIT ) : NO_CHANGES Xcos trace: propertyUpdated( 29 , PORT , UID ) : NO_CHANGES Xcos trace: propertyUpdated( 29 , PORT , STYLE ) : NO_CHANGES Xcos trace: propertyUpdated( 29 , PORT , LABEL ) : NO_CHANGES Xcos debug: propertyUpdated( 29 , PORT , DATATYPE ) : SUCCESS Xcos debug: propertyUpdated( 29 , PORT , SOURCE_BLOCK ) : SUCCESS Xcos trace: propertyUpdated( 29 , PORT , CONNECTED_SIGNALS ) : NO_CHANGES Xcos info: objectCreated( 30 , PORT ) Xcos info: objectCloned( 15 , 30 , PORT ) Xcos trace: propertyUpdated( 30 , PORT , FIRING ) : NO_CHANGES Xcos debug: propertyUpdated( 30 , PORT , PORT_KIND ) : SUCCESS Xcos trace:
{ "pile_set_name": [ "Github", "Github" ] }
47,297,271
init( state ) := null; next( state ) := case _elevator_state_machine.t1 | _elevator_state_machine.t3 | _elevator_state_machine.t5 | _elevator_state_machine.t7 | _elevator_state_machine.t9 | _elevator_state_machine.t11 | _elevator_state_machine.t13 | _elevator_state_machine.t15 | _elevator_state_machine.t17 | _elevator_state_machine.t2 | _elevator_state_machine.t4 | _elevator_state_machine.t6 | _elevator_state_machine.t8 | _elevator_state_machine.t10 | _elevator_state_machine.t12 | _elevator_state_machine.t14 | _elevator_state_machine.t16 | _elevator_state_machine.t18 : null; _elevator_state_machine.state = Elevator_state_machine_PrepareDown & state = null : Elevator_state_machinePrepareDown_DoorClosingMovingDown; TRUE : state; esac; -- This defines a NuSMV module for ElevatorElevator_state_machineInMotion -- MODULE ElevatorElevator_state_machineInMotion ( _elevator_state_machine ) -- This part declares state variables for the given NuSMV module -- VAR state : { Elevator_state_machineInMotion_Moving , Elevator_state_machineInMotion_Stopping ,null }; -- This part defines logic for the assignment of values to state variable "state" of this NuSMV module -- ASSIGN init( state ) := null; next( state ) := case _elevator_state_machine.t1 | _elevator_state_machine.t5 | _elevator_state_machine.t9 | _elevator_state_machine.t11 | _elevator_state_machine.t13 | _elevator_state_machine.t15 | _elevator_state_machine.t17 | _elevator_state_machine.t2 | _elevator_state_machine.t6 | _elevator_state_machine.t10 | _elevator_state_machine.t12 | _elevator_state_machine.t14 | _elevator_state_machine.t16 | _elevator_state_machine.t18 : null; _elevator_state_machine.t4 | _elevator_state_machine.t3 | _elevator_state_machine.t7 : Elevator_state_machineInMotion_Moving; _elevator_state_machine.t8 : Elevator_state_machineInMotion_Stopping; _elevator_state_machine.state = Elevator_state_machine_InMotion & state = null : Elevator_state_machineInMotion_Moving; TRUE : state;
{ "pile_set_name": [ "Github", "Github" ] }
59,241,385
[[树](../tree/README.md)] | Easy | | 589 | [N叉树的前序遍历](../../problems/n-ary-tree-preorder-traversal) | [[树](../tree/README.md)] | Easy | | 582 | [杀死进程](../../problems/kill-process) 🔒 | [[树](../tree/README.md)] [[队列](../queue/README.md)] | Medium | | 572 | [另一个树的子树](../../problems/subtree-of-another-tree) | [[树](../tree/README.md)] | Easy | | 563 | [二叉树的坡度](../../problems/binary-tree-tilt) | [[树](../tree/README.md)] | Easy | | 559 | [N叉树的最大深度](../../problems/maximum-depth-of-n-ary-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 | | 549 | [二叉树中最长的连续序列](../../problems/binary-tree-longest-consecutive-sequence-ii) 🔒 | [[树](../tree/README.md)] | Medium | | 545 | [二叉树的边界](../../problems/boundary-of-binary-tree) 🔒 | [[树](../tree/README.md)] | Medium | | 543 | [二叉树的直径](../../problems/diameter-of-binary-tree) | [[树](../tree/README.md)] | Easy | | 538 | [把二叉搜索树转换为累加树](../../problems/convert-bst-to-greater-tree) | [[树](../tree/README.md)] | Medium | | 536 | [从字符串生成二叉树](../../problems/construct-binary-tree-from-string) 🔒 | [[树](../tree/README.md)] [[字符串](../string/README.md)] | Medium | | 530 | [二叉搜索树的最小绝对差](../../problems/minimum-absolute-difference-in-bst) | [[树](../tree/README.md)] | Easy | | 515 | [在每个树行中找最大值](../../problems/find-largest-value-in-each-tree-row) | [[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)] | Medium | | 513 | [找树左下角的值](../../problems/find-bottom-left-tree-value) | [[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)] | Medium | | 510 | [二叉搜索树中的中序后继 II](../../problems/inorder-successor-in-bst-ii) 🔒 | [[树](../tree/README.md)] | Medium | | 508 | [出现次数最多的子树元素和](../../problems/most-frequent-subtree-sum) | [[树](../tree/README.md)] [[哈希表](../hash-table/README.md)] | Medium | | 501 | [二叉搜索树中的众数](../../problems/find-mode-in-binary-search-tree) | [[树](../tree/README.md)] | Easy | | 450 | [删除二叉搜索树中的节点](../../problems/delete-node-in-a-bst) | [[树](../tree/README.md)] | Medium | | 449 | [序列化和反序列化二叉搜索树](../../problems/serialize-and-deserialize-bst) | [[树](../tree/README.md)] | Medium | | 437 | [路径总和 III](../../problems/path-sum-iii) | [[树](../tree/README.md)] | Medium | | 431 | [将 N 叉树编码为二叉树](../../problems/encode-n-ary-tree-to-binary-tree) 🔒 | [[树](../tree/README.md)] | Hard | | 429 | [N叉树的层序遍历](../../problems/n-ary-tree-level-order-traversal) | [[树](../tree/README.md)] [[广度优先搜索](../breadth-first-search/README.md)] | Medium | | 428 | [序列化和反序列化 N 叉树](../../problems/serialize-and-deserialize-n-ary-tree) 🔒 | [[树](../tree/README.md)] | Hard | | 426 | [将二叉搜索树转化为排序的双向链表](../../problems/convert-binary-search-tree-to-sorted-doubly-linked-list) 🔒 | [[树](../tree/README.md)] [[链表](../linked-list/README.md)] [[分治算法](../divide-and-conquer/README.md)] | Medium | | 404 | [左叶子之和](../../problems/sum-of-left-leaves) | [[树](../tree/README.md)] | Easy | | 366 | [寻找二叉树的叶子节点](../../problems/find-leaves-of-binary-tree) 🔒 | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] |
{ "pile_set_name": [ "Github", "Github" ] }
5,572,105
| Easy | | 865 | [具有所有最深结点的最小子树](../../problems/smallest-subtree-with-all-the-deepest-nodes) | [[树](../tree/README.md)] | Medium | | 863 | [二叉树中所有距离为 K 的结点](../../problems/all-nodes-distance-k-in-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)] | Medium | | 834 | [树中距离之和](../../problems/sum-of-distances-in-tree) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Hard | | 814 | [二叉树剪枝](../../problems/binary-tree-pruning) | [[树](../tree/README.md)] | Medium | | 783 | [二叉搜索树节点最小距离](../../problems/minimum-distance-between-bst-nodes) | [[树](../tree/README.md)] [[递归](../recursion/README.md)] | Easy | | 776 | [拆分二叉搜索树](../../problems/split-bst) 🔒 | [[树](../tree/README.md)] [[递归](../recursion/README.md)] | Medium | | 742 | [二叉树最近的叶节点](../../problems/closest-leaf-in-a-binary-tree) 🔒 | [[树](../tree/README.md)] | Medium | | 701 | [二叉搜索树中的插入操作](../../problems/insert-into-a-binary-search-tree) | [[树](../tree/README.md)] | Medium | | 700 | [二叉搜索树中的搜索](../../problems/search-in-a-binary-search-tree) | [[树](../tree/README.md)] | Easy | | 687 | [最长同值路径](../../problems/longest-univalue-path) | [[树](../tree/README.md)] [[递归](../recursion/README.md)] | Easy | | 685 | [冗余连接 II](../../problems/redundant-connection-ii) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] [[并查集](../union-find/README.md)] [[图](../graph/README.md)] | 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 | | 671| [二叉树中第二小的节点](../../problems/second-minimum-node-in-a-binary-tree) | [[树](../tree/README.md)] | Easy | | 669 | [修剪二叉搜索树](../../problems/trim-a-binary-search-tree) | [[树](../tree/README.md)] | Easy | | 666 | [路径和 IV](../../problems/path-sum-iv) 🔒 | [[树](../tree/README.md)] | Medium | | 663 | [均匀树划分](../../problems/equal-tree-partition) 🔒 | [[树](../tree/README.md)] | Medium | | 662 | [二叉树最大宽度](../../problems/maximum-width-of-binary-tree) | [[树](../tree/README.md)] | Medium | | 655 | [输出二叉树](../../problems/print-binary-tree) | [[树](../tree/README.md)] | Medium | | 654 | [最大二叉树](../../problems/maximum-binary-tree) | [[树](../tree/README.md)] | Medium | | 653 | [两数之和 IV - 输入 BST](../../problems/two-sum-iv-input-is-a-bst) | [[树](../tree/README.md)] | Easy | | 652 | [寻找重复的子树](../../problems/find-duplicate-subtrees) | [[树](../tree/README.md)] | Medium | | 637 | [二叉树的层平均值](../../problems/average-of-levels-in-binary-tree) | [[树](../tree/README.md)] | Easy | | 623 | [在二叉树中增加一行](../../problems/add-one-row-to-tree) | [[树](../tree/README.md)] | Medium | | 617 | [合并二叉树](../../problems/merge-two-binary-trees) | [[树](../tree/README.md)] | Easy | | 606 | [根据二叉树创建字符串](../../problems/construct-string-from-binary-tree) | [[树](../tree/README.md)] [[字符串](../string/README.md)] | Easy | | 590 | [N叉树的后序遍历](../../problems/n-ary-tree-postorder-traversal) |
{ "pile_set_name": [ "Github", "Github" ] }
5,572,103
St. Elizabeth DESCRIPTION:This game will be at Zube Park. See the soccer page for the fu ll season schedule. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20180926T153000 DTEND:20180926T235900 SUMMARY:Fall Sports Yearbook Pictures DESCRIPTION:Fall Sport Picures for cheer\, volleyball\, soccer and cross c ountry in the RAC Gym immediately after school. See details. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20180927T163000 DTEND:20180927T235900 SUMMARY:Soccer vs. St. Edwards DESCRIPTION:This game will be at Zube Park. See the soccer page for the fu ll season schedule. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20180928T163000 DTEND:20180928T235900 SUMMARY:Volleyball vs. St. Elizabeth Ann Seton DESCRIPTION:This game will be in the RAC. See the full game schedule on th e volleyball webpage. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20180929T000000 DTEND:20180929T235900 SUMMARY:Cross Country Meet - St. Thomas&apos\; Episcopal Invitational END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181001T163000 DTEND:20181001T235900 SUMMARY:Volleyball vs. St. Anthony DESCRIPTION:This game will be in the RAC. See the full game schedule on th e volleyball webpage. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181002T163000 DTEND:20181002T235900 SUMMARY:Soccer vs. St. Anne Tomball DESCRIPTION:This game will be at Zube Park. See the soccer page for the fu ll season schedule. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181003T163000 DTEND:20181003T235900 SUMMARY:Volleyball at Sacred Heart Conroe DESCRIPTION:This game will be atSacred Heart Conroe. See the full game sc hedule on the volleyball webpage. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181004T163000 DTEND:20181004T235900 SUMMARY:Soccer at Regis DESCRIPTION:This game will be at Regis. See the soccer page for the full s eason schedule. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181004T183000 DTEND:20181004T203000 SUMMARY:Open House DESCRIPTION:Join us to tour the school with our parent ambassadors and mee t the principal! END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181005T163000 DTEND:20181005T235900 SUMMARY:Volleyball vs. St. Anne Tomball DESCRIPTION:This game will be in the RAC. See the full game schedule on th e volleyball webpage. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181006T000000 DTEND:20181006T235900 SUMMARY:Cross Country Meet - 7th Annual Faith West Hills XC Race END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181009T163000 DTEND:20181009T235900 SUMMARY:Soccer vs. Sacred Heart Conroe DESCRIPTION:This game will be at Zube Park. See the soccer page for the fu ll season schedule. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181012T163000 DTEND:20181012T235900 SUMMARY:Volleyball at St. Mary Magdalene DESCRIPTION:This game will be at St. Mary Magdalene. See the full game sch edule on the volleyball webpage. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181015T163000 DTEND:20181015T235900 SUMMARY:Volleyball vs. St. Edward DESCRIPTION:This game will be in the RAC. See the full game schedule on th e volleyball webpage. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20181016T083000 DTEND:20181016T120000 SUMMARY:Cross
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57,841,440
persons who had been admitted to this advanced status ……………………………………………….. Apparently some associates got a discount, for the total paid by them recorded in the Society’s book was $5,281,010. (SER 19) ……………………………………………….. Phillip Marsh conceived the idea of TPCS ……………………………………………….. His wife Marlene joined him in marketing it ……………………………………………….. Together they traveled the United States soliciting the purchase of memberships and Untax Packages and speaking at seminars and conferences intended to promote TPCS ……………………………………………….. Marlene’s daughter, Jill Spencer, was an Associate Member and the office manager, in the latter capacity opening and distributing mail sent to TPCS, logging cash received and responding to some customer complaints ……………………………………………….. Her husband Darrell was also an Associate Member ……………………………………………….. He became TPCS’s General Manager, overseeing staff and publications, revising the Untax Package, and writing in his own name in The Connector, to explain why paying income tax was optional ……………………………………………….. A family operation, TPCS was aided by Joseph Coltrane, alias John Campion, and by Douglas Carpa ……………………………………………….. Coltrane was the National Coordinator of the TPCS sales force ……………………………………………….. Carpa was not a TPCS member but from approximately May 1991 to June 1992 assisted the marketing of memberships in TPCS by putting together trusts inwhich TPCS members might hope to hide their assets from the IRS ……………………………………………….. He offered his drafts of trust instruments only to those who purchased the Untax Package ……………………………………………….. He assured members that his trusts were “old and cold” and would work to cure even pre-existing problems with the IRS because the trusts would be predated to a time before an IRS lien ……………………………………………….. In its publications TPCS asserted that it was not a tax protester movement, that it did not deny the constitutionality of the Internal Revenue Code, and that it did not maintain that Congress lacked the power to tax income ……………………………………………….. TPCS simply taught that Congress had not exerted that power and that the IRS was “a private corporation” engaged in lawless efforts to extract money from Americans not obliged to pay ……………………………………………….. TPCS characterized its own teachings as educational and added that they were the exercise of free speech, protected by the First Amendment from prosecution ……………………………………………….. TPCS was aware that the IRS challenged its view of the law, an awareness reinforced by the rejection that TPCS’s Untax Package received when put into practice by members ……………………………………………….. The IRS by 1991 was aware of TPCS and
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12,880,785
SMALL LETTER RHO U+03c1~}{~GREEK SMALL LETTER IOTA U+03b9~}{~GREEK SMALL LETTER SIGMA U+03c3~}{~GREEK SMALL LETTER TAU U+03c4~}{~GREEK SMALL LETTER EPSILON U+03b5~}{~GREEK SMALL LETTER UPSILON U+03c5~}{~GREEK SMALL LETTER SIGMA U+03c3~}{~GREEK SMALL LETTER ALPHA WITH TONOS U+03ac~}{~GREEK SMALL LETTER NU U+03bd~}{~GREEK SMALL LETTER TAU U+03c4~}{~GREEK SMALL LETTER OMEGA U+03c9~}{~GREEK SMALL LETTER NU U+03bd~}, {~GREEK SMALL LETTER KAPPA U+03ba~}{~GREEK SMALL LETTER ALPHA U+03b1~}{~GREEK SMALL LETTER IOTA WITH VARIA U+1f76~} {~GREEK SMALL LETTER BETA U+03b2~}{~GREEK SMALL LETTER ALPHA U+03b1~}{~GREEK SMALL LETTER IOTA WITH VARIA U+1f76~}, {~GREEK SMALL LETTER OMICRON WITH DASIA U+1f41~} {~GREEK SMALL LETTER CHI U+03c7~}{~GREEK SMALL LETTER RHO U+03c1~}{~GREEK SMALL LETTER IOTA U+03b9~}{~GREEK SMALL LETTER SIGMA U+03c3~}{~GREEK SMALL LETTER TAU U+03c4~}{~GREEK SMALL LETTER IOTA U+03b9~}{~GREEK SMALL LETTER ALPHA U+03b1~}{~GREEK SMALL LETTER NU U+03bd~}{~GREEK SMALL LETTER OMICRON WITH VARIA U+1f78~}{~GREEK SMALL LETTER FINAL SIGMA U+03c2~}, {~GREEK SMALL LETTER PI U+03c0~}{~GREEK SMALL LETTER IOTA WITH TONOS U+03af~}{~GREEK SMALL LETTER SIGMA U+03c3~}{~GREEK SMALL LETTER TAU U+03c4~}{~GREEK SMALL LETTER IOTA U+03b9~}{~GREEK SMALL LETTER
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43,033,005
(for non ipod mp3 players) View Links to Program References Feb 1 to 15, 2011. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References Jan 15 to 31, 2011. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References Jan 1 to 15, 2011. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References Dec 15 to 31, 2010. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References Dec 1 to 15, 2010. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References Nov 15 to 31, 2010. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References Nov 1 to 15, 2010. Download podcast (enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References Oct 15 to 31, 2010. Download podcast (enhancedpodcast) Download podcast (for non ipod mp3 players) View Links to Program References Oct 1 to 15, 2010. Download podcast (enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References Sep 15 to 30, 2010. Download podcast (enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References Sep 1 to 15, 2010. Download podcast (enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References Aug 15 to 31, 2010. Download podcast (enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References No CME after two years Aug 1 to 15, 2010. Download podcast (enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References No CME after two years July 15 to 31, 2010. Download podcast (enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References No CME after two years. July 1 to 15,
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– ( 56.40, 35.69) – ( 56.77, 35.69) – ( 57.12, 35.70) – ( 57.47, 35.70) – ( 57.81, 35.71) – ( 58.14, 35.72) – ( 58.46, 35.72) – ( 58.77, 35.73) – ( 59.08, 35.73) – ( 59.38, 35.74) – ( 59.67, 35.74) – ( 59.95, 35.75) – ( 60.23, 35.75) – ( 60.50, 35.76) – ( 60.77, 35.76) – ( 61.03, 35.77) – ( 61.28, 35.77) – ( 61.53, 35.78) – ( 61.77, 35.78) – ( 62.01, 35.79) – ( 62.25, 35.80) – ( 62.48, 35.80) – ( 62.71, 35.81) – ( 62.93, 35.81) – ( 63.15, 35.82) – ( 63.36, 35.82) – ( 63.57, 35.83) – ( 63.78, 35.83) – ( 63.98, 35.84) – ( 64.19, 35.84) – ( 64.38, 35.85) – ( 64.58, 35.85)– ( 73.23, 36.20) – ( 73.33, 36.20) – ( 73.42, 36.21) – ( 73.52, 36.22) – ( 73.61, 36.22) – ( 73.70, 36.23) – ( 73.80, 36.23) – ( 73.89, 36.24) – ( 73.98, 36.24) – ( 74.07, 36.25) – ( 74.16, 36.25) – ( 74.24, 36.26) – ( 74.33, 36.26) – ( 74.42, 36.27) – ( 74.51, 36.27) – ( 74.59, 36.28) – ( 74.68, 36.28) – ( 74.76, 36.29) – ( 74.85, 36.30) – ( 74.93, 36.30) – ( 75.01, 36.31) – ( 75.10, 36.31) – ( 75.18, 36.32) – ( 75.26, 36.32) – ( 75.34, 36.33) – ( 75.42, 36.33) – ( 75.50, 36.34) – ( 75.58, 36.34) – ( 75.66, 36.35) – ( 75.74, 36.35) – ( 75.82, 36.36) – ( 75.89, 36.36)
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Thompson committee funding contingent on Lott's agreement to consider reform. But Daschle quickly dropped Durbin's amendment and others in his rush to agree to the new GOP proposal. The Democrats were eager to sign on because their three key demands were met: that funding be reduced from Thompson's original request of $6.5 million, that a deadline for completion be set, and that the panel's jurisdiction be expanded to include Congress and outside groups. For the moment, Democrats were savoring their victory. In a late afternoon meeting in Daschle's office, they chortled that a broad investigation of soft money might put a prime nemesis, Kentucky's McConnell, in a hot seat, not just Clinton. McConnell is an implacable foe of campaign finance reform and head of the GOP's Senate Campaign Committee. But in andnsDomainIs(host, ".virtumundo.com") || dnsDomainIs(host, ".treeloot.com") || dnsDomainIs(host, ".memberprize.com") // internetfuel and _some_ of the sites they redirect to // (more internetfuel - from Sam G) || dnsDomainIs(host, ".internetfuel.net") || dnsDomainIs(host, ".internetfuel.com") || dnsDomainIs(host, ".peoplecaster.com") || dnsDomainIs(host, ".cupidsdatabase.com") || dnsDomainIs(host, ".automotive-times.com") || dnsDomainIs(host, ".healthy-lifetimes.com") || dnsDomainIs(host, ".us-world-business.com") || dnsDomainIs(host, ".internet-2-web.com") || dnsDomainIs(host, ".my-job-careers.com") || dnsDomainIs(host, ".freeonline.com") || dnsDomainIs(host, ".exitfuel.com") || dnsDomainIs(host, ".netbroadcaster.com") || dnsDomainIs(host, ".spaceports.com") || dnsDomainIs(host, ".mircx.com") || dnsDomainIs(host, ".exitchat.com") || dnsDomainIs(host, ".atdmt.com") || dnsDomainIs(host, ".partner2profit.com") || dnsDomainIs(host, ".centrport.net") || dnsDomainIs(host, ".centrport.com") || dnsDomainIs(host, ".rampidads.com") ////// // // banner servers // (typically these set cookies or serve animated ads) // || dnsDomainIs(host, "commonwealth.riddler.com") || dnsDomainIs(host, "banner.freeservers.com") || dnsDomainIs(host, "usads.futurenet.com") || dnsDomainIs(host, "banners.egroups.com") || dnsDomainIs(host, "ngadclient.hearme.com") || dnsDomainIs(host, "affiliates.allposters.com") || dnsDomainIs(host, "adincl.go2net.com") || dnsDomainIs(host, "webads.bizservers.com") || dnsDomainIs(host, ".addserv.com") || dnsDomainIs(host, ".falkag.net") || (host == "promote.pair.com") // marketwatch.com (flash ads), but CSS get loaded || (dnsDomainIs(host, ".mktw.net") && !shExpMatch(url, "*/css/*")) || dnsDomainIs(host, ".cjt1.net") || dnsDomainIs(host, ".bns1.net") // "undergroundonline" // comes from iframe with this url: http://mediamgr.ugo.com/html.ng/size=728x90&affiliate=megagames&channel=games&subchannel=pc&Network=affiliates&rating=g || dnsDomainIs(host, "image.ugo.com") || dnsDomainIs(host, "mediamgr.ugo.com") // web ads and
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47,497,342
WHO HAVE AN INTERESTING HAVE AN INTERESTING HAVE AN INTERESTING RELATIONSHIP. RELATIONSHIP. RELATIONSHIP. >> RELATIONSHIP. >> Reporter: RELATIONSHIP. >> Reporter: MARY RELATIONSHIP. >> Reporter: MARY J. RELATIONSHIP. >> Reporter: MARY J. BLIGE, >> Reporter: MARY J. BLIGE, >> Reporter: MARY J. BLIGE, KNOWN >> Reporter: MARY J. BLIGE, KNOWN AS >> Reporter: MARY J. BLIGE, KNOWN AS THE >> Reporter: MARY J. BLIGE, KNOWN AS THE QUEEN >> Reporter: MARY J. BLIGE, KNOWN AS THE QUEEN OF >> Reporter: MARY J. BLIGE, KNOWN AS THE QUEEN OF HIP-HOP KNOWN AS THE QUEEN OF HIP-HOP KNOWN AS THE QUEEN OF HIP-HOP SOUL KNOWN AS THE QUEEN OF HIP-HOP SOUL CONTINUES KNOWN AS THE QUEEN OF HIP-HOP SOUL CONTINUES TO KNOWN AS THE QUEEN OF HIP-HOP SOUL CONTINUES TO BUILD KNOWN AS THE QUEEN OF HIP-HOP SOUL CONTINUES TO BUILD A KNOWN AS THE QUEEN OF HIP-HOP SOUL CONTINUES TO BUILD A NAME SOUL CONTINUES TO BUILD A NAME SOUL CONTINUES TO BUILD A NAME FOR SOUL CONTINUES TO BUILD A NAME FOR HERSELF SOUL CONTINUES TOBUILD A NAME FOR HERSELF IN SOUL CONTINUES TO BUILD A NAME FOR HERSELF IN HOLLYWOOD. FOR HERSELF IN HOLLYWOOD. FOR HERSELF IN HOLLYWOOD. IN FOR HERSELF IN HOLLYWOOD. IN "TRAN29," FOR HERSELF IN HOLLYWOOD. IN "TRAN29," SHE FOR HERSELF IN HOLLYWOOD. IN "TRAN29," SHE PLAYS FOR HERSELF IN HOLLYWOOD. IN "TRAN29," SHE PLAYS MONET. IN "TRAN29," SHE PLAYS MONET. IN "TRAN29," SHE PLAYS MONET. BUT IN "TRAN29," SHE PLAYS MONET. BUT MORE IN "TRAN29," SHE PLAYS MONET. BUT MORE THAN IN "TRAN29," SHE PLAYS MONET. BUT MORE THAN THAT, IN "TRAN29," SHE PLAYS MONET. BUT MORE THAN THAT, MARY IN "TRAN29," SHE PLAYS MONET. BUT MORE THAN THAT, MARY SAYS BUT MORE THAN THAT, MARY SAYS BUT MORE THAN THAT, MARY SAYS THE BUT MORE THAN THAT, MARY SAYS THE CHARACTER BUT MORE THAN THAT, MARY SAYS THE CHARACTER REMINDS BUT MORE THAN THAT, MARY SAYS THE CHARACTER REMINDS HER BUT MORE THAN THAT, MARY SAYS THE CHARACTER REMINDS HER OF THE CHARACTER REMINDS HER OF THE
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89.64, 42.54) – ( 89.66, 42.56) – ( 89.69, 42.57) – ( 89.72, 42.59) – ( 89.74, 42.60) – ( 89.77, 42.61) – ( 89.79, 42.63) – ( 89.82, 42.64) – ( 89.84, 42.66) – ( 89.87, 42.67) – ( 89.89, 42.68) – ( 89.92, 42.70) – ( 89.94, 42.71) – ( 89.96, 42.73) – ( 89.99, 42.74) – ( 90.01, 42.75) – ( 90.04, 42.77) – ( 90.06, 42.78) – ( 90.09, 42.80) – ( 90.11, 42.81) – ( 90.14, 42.82) – ( 90.16, 42.84) – ( 90.19, 42.85) – ( 90.21, 42.87) – ( 90.23, 42.88) – ( 90.26, 42.89) – ( 90.28, 42.91) – ( 90.31, 42.92) – ( 90.33, 42.94) – ( 90.35, 42.95) – ( 90.38, 42.96) – ( 90.40, 42.98) – (95.88, 46.96) – ( 95.89, 46.97) – ( 95.91, 46.99) – ( 95.92, 47.00) – ( 95.94, 47.01) – ( 95.95, 47.03) – ( 95.97, 47.04) – ( 95.98, 47.06) – ( 96.00, 47.07) – ( 96.01, 47.08) – ( 96.03, 47.10) – ( 96.04, 47.11) – ( 96.06, 47.12) – ( 96.07, 47.14) – ( 96.09, 47.15) – ( 96.10, 47.16) – ( 96.12, 47.18) – ( 96.13, 47.19) – ( 96.15, 47.20) – ( 96.16, 47.22) – ( 96.18, 47.23) – ( 96.19, 47.24) – ( 96.21, 47.26) – ( 96.22, 47.27) – ( 96.24, 47.29) – ( 96.25, 47.30) – ( 96.27, 47.31) – ( 96.28, 47.33) – ( 96.30, 47.34) – ( 96.31, 47.35) – ( 96.33, 47.37) – ( 96.34, 47.38) – (
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AND NOW IN THE SPIRIT OF CITIES LIKE POCATELLO AND >> AND NOW IN THE SPIRIT OF CITIES LIKE POCATELLO AND >> AND NOW IN THE SPIRIT OF CITIES LIKE POCATELLO AND STATES >> AND NOW IN THE SPIRIT OF CITIES LIKE POCATELLO AND STATES LIKE >> AND NOW IN THE SPIRIT OF CITIES LIKE POCATELLO AND STATES LIKE ALASKA, >> AND NOW IN THE SPIRIT OF CITIES LIKE POCATELLO AND STATES LIKE ALASKA, THE CITIES LIKE POCATELLO AND STATES LIKE ALASKA, THE CITIES LIKE POCATELLO AND STATES LIKE ALASKA, THE COMMISSION CITIES LIKE POCATELLO AND STATES LIKE ALASKA, THE COMMISSION IS CITIES LIKE POCATELLO AND STATES LIKE ALASKA, THE COMMISSION IS ACCEPTING CITIES LIKE POCATELLO AND STATES LIKE ALASKA, THE COMMISSION IS ACCEPTING DESIGNS STATES LIKE ALASKA, THE COMMISSION IS ACCEPTING DESIGNS STATES LIKE ALASKA, THE COMMISSION IS ACCEPTING DESIGNS FROM STATES LIKE ALASKA, THE COMMISSION IS ACCEPTING DESIGNS FROM THE STATES LIKE ALASKA, THE COMMISSION IS ACCEPTING DESIGNS FROM THE PUBLIC. COMMISSION IS ACCEPTING DESIGNS FROM THE PUBLIC. COMMISSIONSITE OR ANYONE CAN SEND UP TO THREE DESIGNS VIA THE CITY'S WEB SITE OR IN ANYONE CAN SEND UP TO THREE DESIGNS VIA THE CITY'S WEB SITE OR IN THE ANYONE CAN SEND UP TO THREE DESIGNS VIA THE CITY'S WEB SITE OR IN THE MAIL. DESIGNS VIA THE CITY'S WEB SITE OR IN THE MAIL. DESIGNS VIA THE CITY'S WEB SITE OR IN THE MAIL. AND DESIGNS VIA THE CITY'S WEB SITE OR IN THE MAIL. AND THE DESIGNS VIA THE CITY'S WEB SITE OR IN THE MAIL. AND THE COMMISSION DESIGNS VIA THE CITY'S WEB SITE OR IN THE MAIL. AND THE COMMISSION HAS DESIGNS VIA THE CITY'S WEB SITE OR IN THE MAIL. AND THE COMMISSION HAS PROVIDED OR IN THE MAIL. AND THE COMMISSION HAS PROVIDED OR IN THE MAIL. AND THE COMMISSION HAS PROVIDED GUIDELINES OR IN THE MAIL. AND THE COMMISSION HAS PROVIDED GUIDELINES AS OR IN THE MAIL. AND THE COMMISSION HAS PROVIDED GUIDELINES AS TO OR IN THE
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8,561,597
the location. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20171113T163000 DTEND:20171113T235900 SUMMARY:Boys Basketball Game DESCRIPTION:Join us as we take on Regis. It&apos\;s at Regis\, but CtRCS i s the home team. See the address. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20171114T163000 DTEND:20171114T235900 SUMMARY:Girls Basketball Game DESCRIPTION:Join us as the girls take on St. Anthony of Padua. See the loc ation END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20171115T163000 DTEND:20171115T235900 SUMMARY:Boys Basketball Game DESCRIPTION:Join us as we take on St. Anne Tomball. See the address. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20171128T163000 DTEND:20171128T235900 SUMMARY:Girls Basketball Game (Varsity Only) DESCRIPTION:Join us as we take on St. Edward. See the location. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20171129T160000 DTEND:20171129T235900 SUMMARY:Basketball Team Photos END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20171130T163000 DTEND:20171130T235900 SUMMARY:Girls Basketball Game DESCRIPTION:Join us as the girls take on St. Martha\, 2411 Oak Shores Dr\, Kingwood\, TX 77339. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20171204T163000 DTEND:20171204T235900 SUMMARY:Boys Basketball Game DESCRIPTION:Join us as we take on St. Edward. It&apos\;s at St. Edward\, b ut CtRCS is the home team. See the location. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20171205T163000 DTEND:20171205T235900 SUMMARY:Girls Basketball Game DESCRIPTION:Join us as the girls take on St. Anne Tomball. See the address . END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20171206T163000 DTEND:20171206T235900 SUMMARY:Boys Basketball Game DESCRIPTION:Join us as we take on St. Martha\, 2411Oak Shores Dr\, Kingwo od\, TX 77339. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20171207T163000 DTEND:20171207T235900 SUMMARY:Girls Basketball Game DESCRIPTION:Join us as the girls take on St. Anthony of Padua. It&apos\;s at St. Anthony&apos\;s\, but CtRCS is the home team. See the location. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20180109T163000 DTEND:20180109T235900 SUMMARY:Boys Basketball Game DESCRIPTION:Join us as we take on St. Anthony of Padua. It&apos\;s at St. Anthony&apos\;s\, but CtRCS is the home team. See the location. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20180109T163000 DTEND:20180109T235900 SUMMARY:Girls Basketball Game (Varsity Only) DESCRIPTION:Join us as we take on St. Edward. The game is at St. Edward&ap os\;s\, but CtRCS is the home team. See the location. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20180110T163000 DTEND:20180110T235900 SUMMARY:Boys Basketball Game DESCRIPTION:Join us as we take on Regis. See the address. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20180116T163000 DTEND:20180116T235900 SUMMARY:Boys Basketball Game DESCRIPTION:Join us as we take on St. Elizabeth Ann Seton. It&apos\;s at S EAS\, but CtRCS is the home team. See the location. END:VEVENT BEGIN:VEVENT UID:[email protected] DTSTART:20180116T163000 DTEND:20180116T235900 SUMMARY:Girls Basketball Game DESCRIPTION:Join us as the girls take on St. Elizabeth Ann Seton. It&apos\ ;s at St.
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57,841,433
Size, By Region, 2017�2025 (USD Million) Table 73 North America: Top Contracts, 2015�September 2019 Table 74 Europe: Top Contracts, January 2015-2017 Table 75 Asia Pacific: Top Contracts, 2015�2017 Table 76 Middle East: Top Contracts, 2015�2017 Table 77 North America: Unmanned Aerial Vehicle Market Size, By Class, 2017�2025 (USD Million) Table 78 North America: Unmanned Aerial Vehicle Market Size, By Vertical, 2017�2025 (USD Million) Table 79 North America: Unmanned Aerial Vehicle Market Size, By Type, 2017�2025 (USD Million) Table 80 North America: Unmanned Aerial Vehicle Market Size, By Country, 2017�2025 (USD Million) Table 81 US: Unmanned Aerial Vehicle Market Size, By Class, 2017�2025 (USD Million) Table 82 US: Unmanned Aerial Vehicle Market Size, By Vertical, 2017�2025 (USD Million) Table 83 US: Unmanned Aerial Vehicle Market Size, By Type, 2017�2025 (USD Million) Table 84 Canada: Unmanned Aerial Vehicle Market Size, By Class,Market Size, By Class, 2017�2025 (USD Million) Table 120 Japan: UAV Market Size, By Vertical, 2017�2025 (USD Million) Table 121 Japan: UAV Market Size, By Type, 2017�2025 (USD Million) Table 122 India: UAV Market Size, By Class, 2017�2025 (USD Million) Table 123 India: UAV Market Size, By Vertical, 2017�2025 (USD Million) Table 124 India: UAV Market Size, By Type, 2017�2025 (USD Million) Table 125 South Korea: UAV Market Size, By Class, 2017�2025 (USD Million) Table 126 South Korea: UAV Market Size, By Vertical, 2017�2025 (USD Million) Table 127 South Korea: UAV Market Size, By Type, 2017�2025 (USD Million) Table 128 Australia: UAV Market Size, By Class, 2017�2025 (USD Million) Table 129 Australia: UAV Market Size, By Vertical, 2017�2025 (USD Million) Table 130 Australia: UAV Market Size, By Type, 2017�2025 (USD Million) Table 131 Rest of Asia: Pacific UAV Market Size,
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48,873,593
THE EVENT ORGANIZED HIGH SCHOOL STUDENTS >> Reporter: THE EVENT ORGANIZED HIGH SCHOOL STUDENTS >> Reporter: THE EVENT ORGANIZED HIGH SCHOOL STUDENTS WHO >> Reporter: THE EVENT ORGANIZED HIGH SCHOOL STUDENTS WHO ARE >> Reporter: THE EVENT ORGANIZED HIGH SCHOOL STUDENTS WHO ARE PA+@RT >> Reporter: THE EVENT ORGANIZED HIGH SCHOOL STUDENTS WHO ARE PA+@RT OF >> Reporter: THE EVENT ORGANIZED HIGH SCHOOL STUDENTS WHO ARE PA+@RT OF THE >> Reporter: THE EVENT ORGANIZED HIGH SCHOOL STUDENTS WHO ARE PA+@RT OF THE YOUNG >> Reporter: THE EVENT ORGANIZED HIGH SCHOOL STUDENTS WHO ARE PA+@RT OF THE YOUNG BLA ORGANIZED HIGH SCHOOL STUDENTS WHO ARE PA+@RT OF THE YOUNG BLA ORGANIZED HIGH SCHOOL STUDENTS WHO ARE PA+@RT OF THE YOUNG BLA LEADERSHIP ORGANIZED HIGH SCHOOL STUDENTS WHO ARE PA+@RT OF THE YOUNG BLA LEADERSHIP ALLIANCE, ORGANIZED HIGH SCHOOL STUDENTS WHO ARE PA+@RT OF THE YOUNG BLA LEADERSHIP ALLIANCE, AND ORGANIZED HIGH SCHOOL STUDENTS WHO ARE PA+@RT OFNICE NOTE CARD TO GO WITH THEM. A NICE NOTE CARD TO GO WITH THEM. A NICE NOTE CARD TO GO WITH THEM. Reporter: A NICE NOTE CARD TO GO WITH THEM. Reporter: IN A NICE NOTE CARD TO GO WITH THEM. Reporter: IN ADDITION A NICE NOTE CARD TO GO WITH THEM. Reporter: IN ADDITION TO THEM. Reporter: IN ADDITION TO THEM. Reporter: IN ADDITION TO FEEDING THEM. Reporter: IN ADDITION TO FEEDING THE THEM. Reporter: IN ADDITION TO FEEDING THE COMMUNITY, THEM. Reporter: IN ADDITION TO FEEDING THE COMMUNITY, THEY Reporter: IN ADDITION TO FEEDING THE COMMUNITY, THEY Reporter: IN ADDITION TO FEEDING THE COMMUNITY, THEY ALSO Reporter: IN ADDITION TO FEEDING THE COMMUNITY, THEY ALSO OPENED Reporter: IN ADDITION TO FEEDING THE COMMUNITY, THEY ALSO OPENED UP Reporter: IN ADDITION TO FEEDING THE COMMUNITY, THEY ALSO OPENED UP THE Reporter: IN ADDITION TO FEEDING THE COMMUNITY, THEY ALSO OPENED UP THE SCHOOL Reporter: IN ADDITION TO FEEDING THE
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48,877,473
– ( 81.75, 36.88) – ( 81.79, 36.88) – ( 81.84, 36.89) – ( 81.89, 36.89) – ( 81.94, 36.90) – ( 81.98, 36.90) – ( 82.03, 36.91) – ( 82.08, 36.91) – ( 82.12, 36.92) – ( 82.17, 36.93) – ( 82.22, 36.93) – ( 82.26, 36.94) – ( 82.31, 36.94) – ( 82.36, 36.95) – ( 82.40, 36.95) – ( 82.45, 36.96) – ( 82.49, 36.96) – ( 82.54, 36.97) – ( 82.58, 36.97) – ( 82.63, 36.98) – ( 82.67, 36.98) – ( 82.72, 36.99) – ( 82.76, 36.99) – ( 82.80, 37.00) – ( 82.85, 37.00) – ( 82.89, 37.01) – ( 82.94, 37.02) – ( 82.98, 37.02) – ( 83.02, 37.03) – ( 83.07, 37.03) – ( 83.11, 37.04) – ( 83.15, 37.04)– ( 85.67, 37.38) – ( 85.70, 37.39) – ( 85.74, 37.39) – ( 85.77, 37.40) – ( 85.80, 37.41) – ( 85.84, 37.41) – ( 85.87, 37.42) – ( 85.91, 37.42) – ( 85.94, 37.43) – ( 85.98, 37.43) – ( 86.01, 37.44) – ( 86.04, 37.44) – ( 86.08, 37.45) – ( 86.11, 37.45) – ( 86.15, 37.46) – ( 86.18, 37.46) – ( 86.21, 37.47) – ( 86.25, 37.47) – ( 86.28, 37.48) – ( 86.31, 37.48) – ( 86.35, 37.49) – ( 86.38, 37.49) – ( 86.41, 37.50) – ( 86.45, 37.51) – ( 86.48, 37.51) – ( 86.51, 37.52) – ( 86.54, 37.52) – ( 86.58, 37.53) – ( 86.61, 37.53) – ( 86.64, 37.54) – ( 86.67, 37.54) – ( 86.71, 37.55)
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![ $\\tau = \\{E, \\emptyset\\}$ ](A273600_1_En_5_Chapter_IEq14.gif), then τ is called the indiscrete topology. Example 5.2 Let ![ $\(E,\\tau\)$ ](A273600_1_En_5_Chapter_IEq15.gif) and ![ $\(F,\\tau^\\prime\)$ ](A273600_1_En_5_Chapter_IEq16.gif) be two topological spaces. The product ![ $E\\times F$ ](A273600_1_En_5_Chapter_IEq17.gif) can be given the product topology, denoted ![ $\\tau\\times\\tau^\\prime$ ](A273600_1_En_5_Chapter_IEq18.gif), as follows: ![ $W\\subseteq E\\times F$ ](A273600_1_En_5_Chapter_IEq19.gif) is open if ![ $$W=\\bigcup_{i\\in I} \(U_i \\times V_i\),$$ ](A273600_1_En_5_Chapter_Equa.gif) where ![ $U_i\\in \\tau$ ](A273600_1_En_5_Chapter_IEq20.gif) and ![ $V_i\\in\\tau^\\prime$ ](A273600_1_En_5_Chapter_IEq21.gif) for each ![ $i\\in I$ ](A273600_1_En_5_Chapter_IEq22.gif), where I is a (possibly uncountable) index set. Let ![ $\(E,\\tau\)$ ](A273600_1_En_5_Chapter_IEq23.gif) be a topological space. The topology τ is said to have a base of open sets ![ $\\{U_i\\}_{i\\in I}$ ](A273600_1_En_5_Chapter_IEq24.gif) if for each open set ![ $V\\in\\tau$ ](A273600_1_En_5_Chapter_IEq25.gif), there exists an index set ![ $J\\subseteq I$ ](A273600_1_En_5_Chapter_IEq26.gif) such that ![ $V=\\bigcup_{i\\in J} U_i$ ](A273600_1_En_5_Chapter_IEq27.gif). When τ has a base, we say the base generates the topology τ. In Example 5.2, the product topology on ![ $E\\times F$ ](A273600_1_En_5_Chapter_IEq28.gif) is generated by the base ![ $$\\{U\\times V: U\\in\\tau,\\quad V\\in\\tau^\\prime\\}.$$ ](A273600_1_En_5_Chapter_Equb.gif) Example 5.3 (Product topology).that topology). Therefore, ψ is a closed map, and it follows that ψ is a homeomorphism. (See Exercise 5.4.) We are now prepared to prove the Banach–Stone Theorem. Proof of Theorem 5.64 Let K 1 and K 2 be compact Hausdorff spaces and suppose ![ $T: C\(K_1\) \\rightarrow C\(K_2\)$ ](A273600_1_En_5_Chapter_IEq1384.gif) is an isometric isomorphism. We wish to show that K 1 and K 2 are homeomorphic. Observe that T maps extreme points of ![ $B_{C\(K_1\)}$ ](A273600_1_En_5_Chapter_IEq1385.gif) to extreme points of ![ $B_{C\(K_2\)}$ ](A273600_1_En_5_Chapter_IEq1386.gif). To see this, let f be an extreme point in ![ $B_{C\(K_1\)}$ ](A273600_1_En_5_Chapter_IEq1387.gif) and suppose that g and h are functions in ![ $B_{C\(K_2\)}$ ](A273600_1_En_5_Chapter_IEq1388.gif) such that ![ $Tf = \\frac{1}{2}\(g+h\)$ ](A273600_1_En_5_Chapter_IEq1389.gif). Then ![ $f = \\frac{1}{2}\(T^{-1}g + T^{-1}h\)$ ](A273600_1_En_5_Chapter_IEq1390.gif), and from this we deduce that ![ $T^{-1}g = T^{-1}h = f$ ](A273600_1_En_5_Chapter_IEq1391.gif) (because f is an extreme point). It follows that ![ $g=h=Tf$ ](A273600_1_En_5_Chapter_IEq1392.gif), and
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1,050,427
and Other Pacific Islander alone population 16 to 19 years Total: In Armed Forces: Enrolled in school: High school graduate Not high school graduate Not enrolled in school: High school graduate Not high school graduate Civilian: Enrolled in school: Employed Unemployed Not in labor force Not enrolled in school: High school graduate: Employed Unemployed Not in labor force Not high school graduate: Employed Unemployed Not in labor force P149F. ARMED FORCES STATUS BY SCHOOL ENROLLMENT BY EDUCATIONAL ATTAINMENT BY EMPLOYMENT STATUS FOR THE POPULATION 16 TO 19 YEARS (SOME OTHER RACE ALONE) [22] Universe: Some other race alone population 16 to 19 years Total: In Armed Forces: Enrolled in school: High school graduate Not high school graduate Not enrolled in school: High school graduate Not high school graduate Civilian: Enrolled in school: Employed Unemployed Not in labor force Not enrolled in school: High school graduate: Employed Unemployed Not in labor force Not high school graduate: Employed Unemployed Not in labor force P149G. ARMED FORCES STATUS BY SCHOOL ENROLLMENT BY EDUCATIONAL ATTAINMENT BY EMPLOYMENT STATUS FOR THE POPULATION 16 TO19 YEARS (TWO OR MORE RACES) [22 Universe: Two or more races population 16 to 19 years Total: In Armed Forces: Enrolled in school: High school graduate Not high school graduate Not enrolled in school: High school graduate Not high school graduate Civilian: Enrolled in school: Employed Unemployed Not in labor force Not enrolled in school: High school graduate: Employed Unemployed Not in labor force Not high school graduate: Employed Unemployed Not in labor force P149H. ARMED FORCES STATUS BY SCHOOL ENROLLMENT BY EDUCATIONAL ATTAINMENT BY EMPLOYMENT STATUS FOR THE POPULATION 16 TO 19 YEARS (HISPANIC OR LATINO)[22] Universe: Hispanic or Latino population 16 to 19 years Total: In Armed Forces: Enrolled in school: High school graduate Not high school graduate Not enrolled in school: High school graduate Not high school graduate Civilian: Enrolled in school: Employed Unemployed Not in labor force Not enrolled in school: High school graduate: Employed Unemployed Not in labor force Not high school graduate: Employed Unemployed Not in labor force P149I. ARMED FORCES STATUS BY SCHOOL ENROLLMENT BY EDUCATIONAL ATTAINMENT BY EMPLOYMENT STATUS
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10,423,923
(2001-2014) Che-Che Tolentino (2001–2014) Evette Pabalan-Onayan (2001–2010) Izzy Trazona-Aragon (2001–2010) Weng Ibarra (2001–2007, 2008–2010) Mae Acosta-Valdes (2001–2013) Grace Nera
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7,290,905
Yoruba (Nigeria) (yo-NG) Weeks: 53 Culture: Quechua (Bolivia) (quz-BO) Weeks: 53 Culture: Sesotho sa Leboa (South Africa) (nso-ZA) Weeks: 53 Culture: Bashkir (Russia) (ba-RU) Weeks: 53 Culture: Luxembourgish (Luxembourg) (lb-LU) Weeks: 53 Culture: Greenlandic (Greenland) (kl-GL) Weeks: 52 Culture: Igbo (Nigeria) (ig-NG) Weeks: 53 Culture: Yi (PRC) (ii-CN) Weeks: 53 Culture: Mapudungun (Chile) (arn-CL) Weeks: 53 Culture: Mohawk (Mohawk) (moh-CA) Weeks: 53 Culture: Breton (France) (br-FR) Weeks: 53 Culture: Uyghur (PRC) (ug-CN) Weeks: 53 Culture: Maori (New Zealand) (mi-NZ) Weeks: 53 Culture: Occitan (France) (oc-FR) Weeks: 53 Culture: Corsican (France) (co-FR) Weeks: 53 Culture: Alsatian (France) (gsw-FR) Weeks: 53 Culture: Yakut (Russia) (sah-RU) Weeks: 53 Culture: K'iche (Guatemala) (qut-GT) Weeks: 53 Culture: Kinyarwanda (Rwanda) (rw-RW) Weeks: 53 Culture: Wolof (Senegal) (wo-SN) Weeks: 53 Culture: Scottish Gaelic (United Kingdom) (gd-GB) Weeks: 53 Culture: Arabic (Iraq) (ar-IQ) Weeks: 53 Culture: Chinese (Simplified, PRC) (zh-CN) Weeks: 53 Culture: German (Switzerland) (de-CH) Weeks: 52 Culture: English(Austria) (de-AT) Weeks: 53 Culture: English (Australia) (en-AU) Weeks: 53 Culture: Spanish (Spain) (es-ES) Weeks: 53 Culture: French (Canada) (fr-CA) Weeks: 53 Culture: Serbian (Cyrillic, Serbia and Montenegro (Former)) (sr-Cyrl-CS) Weeks: 53 Culture: Sami, Northern (Finland) (se-FI) Weeks: 52 Culture: Quechua (Peru) (quz-PE) Weeks: 53 Culture: Arabic (Libya) (ar-LY) Weeks: 53 Culture: Chinese (Simplified, Singapore) (zh-SG) Weeks: 53 Culture: German (Luxembourg) (de-LU) Weeks: 52 Culture: English (Canada) (en-CA) Weeks: 53 Culture: Spanish (Guatemala) (es-GT) Weeks: 53 Culture: French (Switzerland) (fr-CH) Weeks: 52 Culture: Croatian (Latin, Bosnia and Herzegovina) (hr-BA) Weeks: 53 Culture: Sami, Lule (Norway) (smj-NO) Weeks: 52 Culture: Arabic (Algeria) (ar-DZ) Weeks: 53 Culture: Chinese (Traditional, Macao S.A.R.) (zh-MO) Weeks: 53 Culture: German (Liechtenstein) (de-LI) Weeks: 52 Culture: English (New Zealand) (en-NZ) Weeks: 53 Culture: Spanish (Costa Rica) (es-CR) Weeks: 53 Culture: French (Luxembourg) (fr-LU) Weeks: 53 Culture: Bosnian (Latin, Bosnia and Herzegovina) (bs-Latn-BA) Weeks: 53 Culture: Sami, Lule
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1,760,198
THIS DAY MANY WILL REFLECT SHOOT INNOCENT PEOPLE. ON THIS DAY MANY WILL REFLECT ON DAY MANY WILL REFLECT ON DAY MANY WILL REFLECT ON THE DAY MANY WILL REFLECT ON THE LIFE DAY MANY WILL REFLECT ON THE LIFE OF DAY MANY WILL REFLECT ON THE LIFE OF A DAY MANY WILL REFLECT ON THE LIFE OF A LEGEND DAY MANY WILL REFLECT ON THE LIFE OF A LEGEND WHO DAY MANY WILL REFLECT ON THE LIFE OF A LEGEND WHO FOUGHT THE LIFE OF A LEGEND WHO FOUGHT THE LIFE OF A LEGEND WHO FOUGHT FOR THE LIFE OF A LEGEND WHO FOUGHT FOR PEACE? THE LIFE OF A LEGEND WHO FOUGHT FOR PEACE? THE THE LIFE OF A LEGEND WHO FOUGHT FOR PEACE? THE ELDEST THE LIFE OF A LEGEND WHO FOUGHT FOR PEACE? THE ELDEST SON THE LIFE OF A LEGEND WHO FOUGHT FOR PEACE? THE ELDEST SON OF FOR PEACE? THE ELDEST SON OF FOR PEACE?THE ELDEST SON OF MARTIN FOR PEACE? THE ELDEST SON OF MARTIN LUTHER FOR PEACE? THE ELDEST SON OF MARTIN LUTHER KING FOR PEACE? THE ELDEST SON OF MARTIN LUTHER KING JUNIOR MARTIN LUTHER KING JUNIOR MARTIN LUTHER KING JUNIOR FOLLOWED MARTIN LUTHER KING JUNIOR FOLLOWED IN MARTIN LUTHER KING JUNIOR FOLLOWED IN HIS MARTIN LUTHER KING JUNIOR FOLLOWED IN HIS DAD'S MARTIN LUTHER KING JUNIOR FOLLOWED IN HIS DAD'S FOOTSTEPS FOLLOWED IN HIS DAD'S FOOTSTEPS FOLLOWED IN HIS DAD'S FOOTSTEPS BY FOLLOWED IN HIS DAD'S FOOTSTEPS BY SPEAKING FOLLOWED IN HIS DAD'S FOOTSTEPS BY SPEAKING AT FOLLOWED IN HIS DAD'S FOOTSTEPS BY SPEAKING AT THE FOLLOWED IN HIS DAD'S FOOTSTEPS BY SPEAKING AT THE NATIONAL BY SPEAKING AT THE NATIONAL BY SPEAKING AT THE NATIONAL CATHEDRAL BY SPEAKING AT THE NATIONAL CATHEDRAL DR. BY SPEAKING AT THE NATIONAL CATHEDRAL DR. KING BY SPEAKING AT THE NATIONAL CATHEDRAL DR. KING SPOKE BY SPEAKING AT THE NATIONAL CATHEDRAL DR. KING SPOKE THERE CATHEDRAL DR. KING SPOKE THERE CATHEDRAL DR. KING SPOKE
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48,030,335
school: High school graduate Not high school graduate Civilian: Enrolled in school: Employed Unemployed Not in labor force Not enrolled in school: High school graduate: Employed Unemployed Not in labor force Not high school graduate: Employed Unemployed Not in labor force P149B. ARMED FORCES STATUS BY SCHOOL ENROLLMENT BY EDUCATIONAL ATTAINMENT BY EMPLOYMENT STATUS FOR THE POPULATION 16 TO 19 YEARS (BLACK OR AFRICAN AMERICAN ALONE) [22] Universe: Black or African American alone population 16 to 19 years Total: In Armed Forces: Enrolled in school: High school graduate Not high school graduate Not enrolled in school: High school graduate Not high school graduate Civilian: Enrolled in school: Employed Unemployed Not in labor force Not enrolled in school: High school graduate: Employed Unemployed Not in labor force Not high school graduate: Employed Unemployed Not in labor force P149C. ARMED FORCES STATUS BY SCHOOL ENROLLMENT BY EDUCATIONAL ATTAINMENT BY EMPLOYMENT STATUS FOR THE POPULATION 16 TO 19 YEARS (AMERICAN INDIAN AND ALASKA NATIVE ALONE) [22] Universe: American Indian and Alaska Native alone population 16 to 19years Total: In Armed Forces: Enrolled in school: High school graduate Not high school graduate Not enrolled in school: High school graduate Not high school graduate Civilian: Enrolled in school: Employed Unemployed Not in labor force Not enrolled in school: High school graduate: Employed Unemployed Not in labor force Not high school graduate: Employed Unemployed Not in labor force P149D. ARMED FORCES STATUS BY SCHOOL ENROLLMENT BY EDUCATIONAL ATTAINMENT BY EMPLOYMENT STATUS FOR THE POPULATION 16 TO 19 YEARS (ASIAN ALONE) [22] Universe: Asian alone population 16 to 19 years Total: In Armed Forces: Enrolled in school: High school graduate Not high school graduate Not enrolled in school: High school graduate Not high school graduate Civilian: Enrolled in school: Employed Unemployed Not in labor force Not enrolled in school: High school graduate: Employed Unemployed Not in labor force Not high school graduate: Employed Unemployed Not in labor force P149E. ARMED FORCES STATUS BY SCHOOL ENROLLMENT BY EDUCATIONAL ATTAINMENT BY EMPLOYMENT STATUS FOR THE POPULATION 16 TO 19 YEARS (NATIVE HAWAIIAN AND OTHER PACIFIC ISLANDER ALONE) [22] Universe: Native Hawaiian
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10,423,921
THE TIMING OF THOSE COUNTY HEALTH DIRECTOR IS CONCERNED ABOUT THE TIMING OF THOSE GATHERINGS4@. CONCERNED ABOUT THE TIMING OF THOSE GATHERINGS4@. CONCERNED ABOUT THE TIMING OF THOSE GATHERINGS4@. WTOL CONCERNED ABOUT THE TIMING OF THOSE GATHERINGS4@. WTOL MUSKEGON CONCERNED ABOUT THE TIMING OF THOSE GATHERINGS4@. WTOL MUSKEGON COUNTY CONCERNED ABOUT THE TIMING OF THOSE GATHERINGS4@. WTOL MUSKEGON COUNTY PUBLI4@C THOSE GATHERINGS4@. WTOL MUSKEGON COUNTY PUBLI4@C THOSE GATHERINGS4@. WTOL MUSKEGON COUNTY PUBLI4@C HEALTH THOSE GATHERINGS4@. WTOL MUSKEGON COUNTY PUBLI4@C HEALTH DIRECTOR THOSE GATHERINGS4@. WTOL MUSKEGON COUNTY PUBLI4@C HEALTH DIRECTOR KATHY THOSE GATHERINGS4@. WTOL MUSKEGON COUNTY PUBLI4@C HEALTH DIRECTOR KATHY MOORE WTOL MUSKEGON COUNTY PUBLI4@C HEALTH DIRECTOR KATHY MOORE WTOL MUSKEGON COUNTY PUBLI4@C HEALTH DIRECTOR KATHY MOORE TELLS WTOL MUSKEGON COUNTY PUBLI4@C HEALTH DIRECTOR KATHY MOORE TELLS ME WTOL MUSKEGON COUNTY PUBLI4@C HEALTH DIRECTOR KATHY MOORE TELLS ME SHE WTOL MUSKEGON COUNTY PUBLI4@C HEALTH DIRECTOR KATHY MOORE TELLS ME SHE IS WTOL MUSKEGON COUNTY PUBLI4@C HEALTH DIRECTOR KATHY MOORE TELLS ME SHE IS CONCERNED WTOL MUSKEGON COUNTY PUBLI4@C HEALTH DIRECTOR KATHY MOORE TELLS ME SHE IS CONCERNED ABOUT HEALTH DIRECTOR KATHY MOORE TELLSWEEKEND. PRIMARILY BECAUSE THE DAY AFTER THE HOLI4@DAY WEEKEND. PRIMARILY BECAUSE THE DAY AFTER THE HOLIDAY HOLI4@DAY WEEKEND. PRIMARILY BECAUSE THE DAY AFTER THE HOLIDAY MUSKEGON HOLI4@DAY WEEKEND. PRIMARILY BECAUSE THE DAY AFTER THE HOLIDAY MUSKEGON AREA4@4@ PRIMARILY BECAUSE THE DAY AFTER THE HOLIDAY MUSKEGON AREA4@4@ PRIMARILY BECAUSE THE DAY AFTER THE HOLIDAY MUSKEGON AREA4@4@ SCHOOL PRIMARILY BECAUSE THE DAY AFTER THE HOLIDAY MUSKEGON AREA4@4@ SCHOOL DISTRICTS PRIMARILY BECAUSE THE DAY AFTER THE HOLIDAY MUSKEGON AREA4@4@ SCHOOL DISTRICTS GO PRIMARILY BECAUSE THE DAY AFTER THE HOLIDAY MUSKEGON AREA4@4@ SCHOOL DISTRICTS GO BACK PRIMARILY BECAUSE THE DAY AFTER THE HOLIDAY MUSKEGON AREA4@4@ SCHOOL DISTRICTS GO BACK IN THE HOLIDAY MUSKEGON AREA4@4@ SCHOOL DISTRICTS GO BACK IN THE HOLIDAY MUSKEGON AREA4@4@ SCHOOL DISTRICTS GO BACK IN SESSION. SCHOOL DISTRICTS GO BACK IN SESSION. SCHOOL DISTRICTS GO BACK IN SESSION. >> SCHOOL DISTRICTS GO BACK IN SESSION. >> PEOPLE SCHOOL DISTRICTS GO BACK IN SESSION. >> PEOPLE MAY SCHOOL DISTRICTS GO BACK IN SESSION. >> PEOPLE MAY JUST, SCHOOL DISTRICTS GO BACK IN SESSION. >> PEOPLE MAY JUST, YOU SCHOOL DISTRICTS GO
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56,319,504
going to just play my ward Robin. HECTOR: You're welcome. IVAN: Grant me immunity. BECCA: Batman. I'm gonna guess that Bane has Poison Ivy. IFY: You're wrong! BECCA: You'll never have Poison Ivy. IFY: I'll use Catwoman. BECCA: To look at another player's hands. HECTOR: Pause for error. IFY: I will look at Poison Ivy's hand. HECTOR: Don't do it Bane, don't fall into that venus fly trap. Get it, 'cause it's a trap, 'cause it's. It's a plant based pun. IVAN: Good job. Chinese: [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] Chinese: [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] English: IFY: Ah. IVAN: There it is. IFY: Ah. Ah! IVAN: Robin, Robin go ahead. HECTOR: Okay, here we go. IVAN: What's it gonna be? HECTOR: I'm gonna play Batman. And I'm gonna guess that Bane Has a Batman card. IFY: You are wrong. IVAN: For once he doesn't have a Batman card. IFY: I want to point out to the watchers. Hector looked at my hand. HECTOR: Oh I did, that's true. IFY:has Two-Face. IFY: You are wrong as well. IVAN: He has the Joker then, or something. How can you throw that many Batmans at a single man, and not get what he's got in his hand. HECTOR: He really did break you, he really did. And now I'm Nightwing, great, that's how long that took. Chinese: [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] Chinese: [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] French: MARISHA: C'est bon pour mon dos. ZAC: On est en ligne. MATT: Comment ça va tout le monde, c'est cette caméra juste ici au milieu, c'est ça? ASHLEY: Bonjour. LIAM: Oh, salut. MATT: Merci à vous de nous regarder. J'espère que vous vous êtes amusés. English: IFY: I'm going to say. Two-Face can trade hands with Becca. BECCA: (sighs) IVAN: That's where it was. Robin? HECTOR: It's my turn. IVAN: Diddly fingers. HECTOR: You guys think you're gonna win this? You don't know Dick. Greyson, because that's my real name. I'm gonna play Bane. BECCA: Bane-in it up. IVAN: What's up,
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7,526,927
| 标签 | 难度 | | :-: | - | - | :-: | | 1600 | [皇位继承顺序](../../problems/throne-inheritance) | [[树](../tree/README.md)] [[设计](../design/README.md)] | Medium | | 1597 | [Build Binary Expression Tree From Infix Expression](../../problems/build-binary-expression-tree-from-infix-expression) | [[树](../tree/README.md)] [[字符串](../string/README.md)] | Medium | | 1530 | [好叶子节点对的数量](../../problems/number-of-good-leaf-nodes-pairs) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 1516 | [移动 N 叉树的子树](../../problems/move-sub-tree-of-n-ary-tree) 🔒 | [[树](../tree/README.md)] | Hard | | 1490 | [克隆 N 叉树](../../problems/clone-n-ary-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)] [[哈希表](../hash-table/README.md)] | Medium | | 1485 | [克隆含随机指针的二叉树](../../problems/clone-binary-tree-with-random-pointer) 🔒 | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 1469 | [寻找所有的独生节点](../../problems/find-all-the-lonely-nodes) 🔒 | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Easy | | 1466 | [重新规划路线](../../problems/reorder-routes-to-make-all-paths-lead-to-the-city-zero) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 1457 | [二叉树中的伪回文路径](../../problems/pseudo-palindromic-paths-in-a-binary-tree) | [[位运算](../bit-manipulation/README.md)] [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 1448 | [统计二叉树中好节点的数目](../../problems/count-good-nodes-in-binary-tree) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium| | 1443 | [收集树上所有苹果的最少时间](../../problems/minimum-time-to-collect-all-apples-in-a-tree) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 1430 | [判断给定的序列是否是二叉树从根到叶的路径](../../problems/check-if-a-string-is-a-valid-sequence-from-root-to-leaves-path-in-a-binary-tree) 🔒 | [[树](../tree/README.md)] | Medium | | 1379 | [找出克隆二叉树中的相同节点](../../problems/find-a-corresponding-node-of-a-binary-tree-in-a-clone-of-that-tree) | [[树](../tree/README.md)] | Medium | | 1372 | [二叉树中的最长交错路径](../../problems/longest-zigzag-path-in-a-binary-tree) | [[树](../tree/README.md)] [[动态规划](../dynamic-programming/README.md)] | Medium | | 1367 | [二叉树中的列表](../../problems/linked-list-in-binary-tree) | [[树](../tree/README.md)] [[链表](../linked-list/README.md)] [[动态规划](../dynamic-programming/README.md)] | Medium | | 1339 | [分裂二叉树的最大乘积](../../problems/maximum-product-of-splitted-binary-tree) | [[树](../tree/README.md)] [[动态规划](../dynamic-programming/README.md)] | Medium | | 1325 | [删除给定值的叶子节点](../../problems/delete-leaves-with-a-given-value) | [[树](../tree/README.md)] | Medium | | 1315 | [祖父节点值为偶数的节点和](../../problems/sum-of-nodes-with-even-valued-grandparent) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 1305 | [两棵二叉搜索树中的所有元素](../../problems/all-elements-in-two-binary-search-trees) | [[排序](../sort/README.md)] [[树](../tree/README.md)] | Medium | | 1302 | [层数最深叶子节点的和](../../problems/deepest-leaves-sum) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 1261 | [在受污染的二叉树中查找元素](../../problems/find-elements-in-a-contaminated-binary-tree) | [[树](../tree/README.md)] [[哈希表](../hash-table/README.md)] | Medium | | 1257 | [最小公共区域](../../problems/smallest-common-region) 🔒 | [[树](../tree/README.md)] | Medium | | 1245 | [树的直径](../../problems/tree-diameter) 🔒 | [[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)]
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5,572,099
"MacroInfo", AttrNamelistItem: "NamelistItem", AttrPriority: "Priority", AttrSegment: "Segment", AttrSpecification: "Specification", AttrStaticLink: "StaticLink", AttrType: "Type", AttrUseLocation: "UseLocation", AttrVarParam: "VarParam", AttrVirtuality: "Virtuality", AttrVtableElemLoc: "VtableElemLoc", AttrAllocated: "Allocated", AttrAssociated: "Associated", AttrDataLocation: "DataLocation", AttrStride: "Stride", AttrEntrypc: "Entrypc", AttrUseUTF8: "UseUTF8", AttrExtension: "Extension", AttrRanges: "Ranges", AttrTrampoline: "Trampoline", AttrCallColumn: "CallColumn", AttrCallFile: "CommonInclusion", TagInheritance: "Inheritance", TagInlinedSubroutine: "InlinedSubroutine", TagModule: "Module", TagPtrToMemberType: "PtrToMemberType", TagSetType: "SetType", TagSubrangeType: "SubrangeType", TagWithStmt: "WithStmt", TagAccessDeclaration: "AccessDeclaration", TagBaseType: "BaseType", TagCatchDwarfBlock: "CatchDwarfBlock", TagConstType:
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STREET ABOUT AN HOUR HE STOPPED HERE AT THE BANK OF STOCKTON OFF MAIN STREET ABOUT AN HOUR AFTER HE STOPPED HERE AT THE BANK OF STOCKTON OFF MAIN STREET ABOUT AN HOUR AFTER THE HE STOPPED HERE AT THE BANK OF STOCKTON OFF MAIN STREET ABOUT AN HOUR AFTER THE LAST STOCKTON OFF MAIN STREET ABOUT AN HOUR AFTER THE LAST STOCKTON OFF MAIN STREET ABOUT AN HOUR AFTER THE LAST ROBBERY. AN HOUR AFTER THE LAST ROBBERY. AN HOUR AFTER THE LAST ROBBERY. IN AN HOUR AFTER THE LAST ROBBERY. IN WHAT AN HOUR AFTER THE LAST ROBBERY. IN WHAT APPEARS AN HOUR AFTER THE LAST ROBBERY. IN WHAT APPEARS TO AN HOUR AFTER THE LAST ROBBERY. IN WHAT APPEARS TO BE AN HOUR AFTER THE LAST ROBBERY. IN WHAT APPEARS TO BE THE AN HOUR AFTER THE LAST ROBBERY. IN WHAT APPEARS TO BE THE SAME ROBBERY. IN WHAT APPEARS TO BE THE SAME ROBBERY. IN WHAT APPEARS TO BE THE SAME HELMET ROBBERY. IN WHAT APPEARS TO BE THESAME HELMET AND ROBBERY. IN WHAT APPEARS TO BE THE SAME HELMET AND FAKE ROBBERY. IN WHAT APPEARS TO BE THE SAME HELMET AND FAKE BEARD, ROBBERY. IN WHAT APPEARS TO BE THE SAME HELMET AND FAKE BEARD, HE ROBBERY. IN WHAT APPEARS TO BE THE SAME HELMET AND FAKE BEARD, HE WENT IN WHAT APPEARS TO BE THE SAME HELMET AND FAKE BEARD, HE WENT IN WHAT APPEARS TO BE THE SAME HELMET AND FAKE BEARD, HE WENT UP IN WHAT APPEARS TO BE THE SAME HELMET AND FAKE BEARD, HE WENT UP TO IN WHAT APPEARS TO BE THE SAME HELMET AND FAKE BEARD, HE WENT UP TO ONE IN WHAT APPEARS TO BE THE SAME HELMET AND FAKE BEARD, HE WENT UP TO ONE OF IN WHAT APPEARS TO BE THE SAME HELMET AND FAKE BEARD, HE WENT UP TO ONE OF THE IN WHAT APPEARS TO BE THE SAME HELMET AND FAKE BEARD, HE WENT UP TO
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regex: '\\b(?:AcceptPathInfo|AccessFileName|AddDefaultCharset|AddOutputFilterByType|AllowEncodedSlashes|AllowOverride|AuthName|AuthType|CGIMapExtension|ContentDigest|DefaultType|DocumentRoot|EnableMMAP|EnableSendfile|ErrorDocument|ErrorLog|FileETag|ForceType|HostnameLookups|IdentityCheck|Include|KeepAlive|KeepAliveTimeout|LimitInternalRecursion|LimitRequestBody|LimitRequestFields|LimitRequestFieldSize|LimitRequestLine|LimitXMLRequestBody|LogLevel|MaxKeepAliveRequests|NameVirtualHost|Options|Require|RLimitCPU|RLimitMEM|RLimitNPROC|Satisfy|ScriptInterpreterSource|ServerAdmin|ServerAlias|ServerName|ServerPath|ServerRoot|ServerSignature|ServerTokens|SetHandler|SetInputFilter|SetOutputFilter|TimeOut|TraceEnable|UseCanonicalName)\\b' }, { token: 'keyword.mpm.apacheconf', regex: '\\b(?:AcceptMutex|AssignUserID|BS2000Account|ChildPerUserID|CoreDumpDirectory|EnableExceptionHook|Group|Listen|ListenBacklog|LockFile|MaxClients|MaxMemFree|MaxRequestsPerChild|MaxRequestsPerThread|MaxSpareServers|MaxSpareThreads|MaxThreads|MaxThreadsPerChild|MinSpareServers|MinSpareThreads|NumServers|PidFile|ReceiveBufferSize|ScoreBoardFile|SendBufferSize|ServerLimit|StartServers|StartThreads|ThreadLimit|ThreadsPerChild|ThreadStackSize|User|Win32DisableAcceptEx)\\b' }, { token: 'keyword.access.apacheconf', regex: '\\b(?:Allow|Deny|Order)\\b' }, { token: 'keyword.actions.apacheconf', regex: '\\b(?:Action|Script)\\b' }, { token: 'keyword.alias.apacheconf', regex: '\\b(?:Alias|AliasMatch|Redirect|RedirectMatch|RedirectPermanent|RedirectTemp|ScriptAlias|ScriptAliasMatch)\\b' }, { token: 'keyword.auth.apacheconf', regex: '\\b(?:AuthAuthoritative|AuthGroupFile|AuthUserFile)\\b'}, { token: 'keyword.auth_anon.apacheconf', regex: '\\b(?:Anonymous|Anonymous_Authoritative|Anonymous_LogEmail|Anonymous_MustGiveEmail|Anonymous_NoUserID|Anonymous_VerifyEmail)\\b' }, { token: 'keyword.auth_dbm.apacheconf', regex: '\\b(?:AuthDBMAuthoritative|AuthDBMGroupFile|AuthDBMType|AuthDBMUserFile)\\b' }, { token: 'keyword.auth_digest.apacheconf', regex: '\\b(?:AuthDigestAlgorithm|AuthDigestDomain|AuthDigestFile|AuthDigestGroupFile|AuthDigestNcCheck|AuthDigestNonceFormat|AuthDigestNonceLifetime|AuthDigestQop|AuthDigestShmemSize)\\b' }, { token: 'keyword.auth_ldap.apacheconf', regex: '\\b(?:AuthLDAPAuthoritative|AuthLDAPBindDN|AuthLDAPBindPassword|AuthLDAPCharsetConfig|AuthLDAPCompareDNOnServer|AuthLDAPDereferenceAliases|AuthLDAPEnabled|AuthLDAPFrontPageHack|AuthLDAPGroupAttribute|AuthLDAPGroupAttributeIsDN|AuthLDAPRemoteUserIsDN|AuthLDAPUrl)\\b' }, { token: 'keyword.autoindex.apacheconf', regex: '\\b(?:AddAlt|AddAltByEncoding|AddAltByType|AddDescription|AddIcon|AddIconByEncoding|AddIconByType|DefaultIcon|HeaderName|IndexIgnore|IndexOptions|IndexOrderDefault|ReadmeName)\\b' },
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MENTIONED POLICE AND ALSO AS I MENTIONED SEVERAL POLICE AND ALSO AS I MENTIONED SEVERAL OTHER POLICE AND ALSO AS I MENTIONED SEVERAL OTHER CELEBRITIES SEVERAL OTHER CELEBRITIES SEVERAL OTHER CELEBRITIES STEPPING SEVERAL OTHER CELEBRITIES STEPPING UP SEVERAL OTHER CELEBRITIES STEPPING UP AND SEVERAL OTHER CELEBRITIES STEPPING UP AND DOING SEVERAL OTHER CELEBRITIES STEPPING UP AND DOING THEIR STEPPING UP AND DOING THEIR STEPPING UP AND DOING THEIR PART STEPPING UP AND DOING THEIR PART AND STEPPING UP AND DOING THEIR PART AND DOING STEPPING UP AND DOING THEIR PART AND DOING SOMETHING STEPPING UP AND DOING THEIR PART AND DOING SOMETHING IN PART AND DOING SOMETHING IN PART AND DOING SOMETHING IN REGARDS PART AND DOING SOMETHING IN REGARDS TO PART AND DOING SOMETHING IN REGARDS TO RAISING PART AND DOING SOMETHING IN REGARDS TO RAISING AWARENESS PART AND DOING SOMETHING IN REGARDS TO RAISING AWARENESS OF REGARDS TO RAISING AWARENESS OF REGARDS TO RAISING AWARENESS OF POLICE REGARDS TO RAISING AWARENESS OF POLICE BRUTALITY. POLICE BRUTALITY. POLICE BRUTALITY. LET'S POLICE BRUTALITY. LET'S TAKE POLICE BRUTALITY. LET'S TAKEA POLICE BRUTALITY. LET'S TAKE A LOOK POLICE BRUTALITY. LET'S TAKE A LOOK AT POLICE BRUTALITY. LET'S TAKE A LOOK AT WHAT POLICE BRUTALITY. LET'S TAKE A LOOK AT WHAT JAMIE LET'S TAKE A LOOK AT WHAT JAMIE LET'S TAKE A LOOK AT WHAT JAMIE FOXX LET'S TAKE A LOOK AT WHAT JAMIE FOXX WAS LET'S TAKE A LOOK AT WHAT JAMIE FOXX WAS DOING. FOXX WAS DOING. FOXX WAS DOING. HE FOXX WAS DOING. HE IS FOXX WAS DOING. HE IS THE FOXX WAS DOING. HE IS THE ACTOR FOXX WAS DOING. HE IS THE ACTOR WHO FOXX WAS DOING. HE IS THE ACTOR WHO JOINED HE IS THE ACTOR WHO JOINED HE IS THE ACTOR WHO JOINED DEMONSTRATORS HE IS THE ACTOR WHO JOINED DEMONSTRATORS IN HE IS THE ACTOR WHO JOINED DEMONSTRATORS IN MINNEAPOLIS HE IS THE ACTOR WHO JOINED DEMONSTRATORS IN MINNEAPOLIS TO DEMONSTRATORS IN MINNEAPOLIS TO DEMONSTRATORS IN MINNEAPOLIS TO PROTEST DEMONSTRATORS IN MINNEAPOLIS TO PROTEST THE DEMONSTRATORS IN MINNEAPOLIS TO PROTEST THE SHOOTING DEMONSTRATORS IN MINNEAPOLIS TO PROTEST
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2010. Download podcast (enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References No CME after two years June 15 to 30, 2010. Download podcast (enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References No CME after two years June 1 to 15, 2010. Download podcast (enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References No CME after two years May 15 to 31, 2010. Download podcast (enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References No CME after two years May 01 to 15, 2010. Download podcast (enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References No CME after two years April 15 to 31, 2010 Download podcast (enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References No CME after two years April 1 to 15, 2010. Download podcast(enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References No CME after two years March 15 to 31, 2010. Download podcast (enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References No CME after two years March 1 to 15, 2010. Download podcast (enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References No CME after two years February 15 to 28, 2010. Download podcast (enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References No CME after two years February 1 to 15, 2010. Download podcast (enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References CME. No CME after two years January 15 to 31, 2010. Download podcast (enhanced podcast) Download podcast (for non ipod mp3 players) View Links to Program References CME. No CME after two years January 1 to 15, 2010. Download podcast
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65 North America: Market, By Country, 2017�2025 (USD Million) Table 66 North America: Market, By Product, 2017�2025 (USD Million) Table 67 North America: Laboratory Filtration Media Market, By Type, 2017�2025 (USD Million) Table 68 North America: Laboratory Filtration Assemblies Market, By Type, 2017�2025 (USD Million) Table 69 North America: Laboratory Filtration Accessories Market, By Type, 2017�2025 (USD Million) Table 70 North America: Laboratory Filtration Market, By Technique, 2017�2025 (USD Million) Table 71 North America: Market, By End User, 2017�2025 (USD Million) Table 72 US: Market, By Product, 2017�2025 (USD Million) Table 73 US: Laboratory Filtration Media Market, By Type, 2017�2025 (USD Million) Table 74 US: Laboratory Filtration Assemblies Market, By Type, 2017�2025 (USD Million) Table 75 US: Laboratory Filtration Accessories Market, By Type, 2017�2025 (USD Million) Table 76 US: Market, By Technique, 2017�2025 (USD Million) Table 77 US: Market, ByEnd User, 2017�2025 (USD Million) Table 78 Canada: Market, By Product, 2017�2025 (USD Million) Table 79 Canada: Laboratory Filtration Media Market, By Type, 2017�2025 (USD Million) Table 80 Canada: Laboratory Filtration Assemblies Market, By Type, 2017�2025 (USD Million) Table 81 Canada: Laboratory Filtration Accessories Market, By Type, 2017�2025 (USD Million) Table 82 Canada: Laboratory Filtration Market, By Technique, 2017�2025 (USD Million) Table 83 Canada: Market, By End User, 2017�2025 (USD Million) Table 84 Europe: Market, By Country, 2017�2025 (USD Million) Table 85 Europe: Market, By Product, 2017�2025 (USD Million) Table 86 Europe: Laboratory Filtration Media Market, By Type, 2017�2025 (USD Million) Table 87 Europe: Laboratory Filtration Assemblies Market, By Type, 2017�2025 (USD Million) Table 88 Europe: Laboratory Filtration Accessories Market, By Type, 2017�2025 (USD Million) Table 89 Europe: Laboratory Filtration Market, By Technique, 2017�2025 (USD Million) Table 90 Europe: Market, By
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54,083,632
TO CALL IT THAT IT'S DEDICATED TO OF THE DESIGN IF YOU WANT TO CALL IT THAT IT'S DEDICATED TO THE OF THE DESIGN IF YOU WANT TO CALL IT THAT IT'S DEDICATED TO THE PHRASE OF THE DESIGN IF YOU WANT TO CALL IT THAT IT'S DEDICATED TO THE PHRASE CITY OF THE DESIGN IF YOU WANT TO CALL IT THAT IT'S DEDICATED TO THE PHRASE CITY OF OF THE DESIGN IF YOU WANT TO CALL IT THAT IT'S DEDICATED TO THE PHRASE CITY OF SPOKANE. CALL IT THAT IT'S DEDICATED TO THE PHRASE CITY OF SPOKANE. CALL IT THAT IT'S DEDICATED TO THE PHRASE CITY OF SPOKANE. >> CALL IT THAT IT'S DEDICATED TO THE PHRASE CITY OF SPOKANE. >> I CALL IT THAT IT'S DEDICATED TO THE PHRASE CITY OF SPOKANE. >> I MEAN CALL IT THAT IT'S DEDICATED TO THE PHRASE CITY OF SPOKANE. >> I MEAN IN CALL IT THAT IT'S DEDICATED TO THE PHRASECITY OF SPOKANE. >> I MEAN IN THEIR CALL IT THAT IT'S DEDICATED TO THE PHRASE CITY OF SPOKANE. >> I MEAN IN THEIR DEFENSE THE PHRASE CITY OF SPOKANE. >> I MEAN IN THEIR DEFENSE THE PHRASE CITY OF SPOKANE. >> I MEAN IN THEIR DEFENSE NOTHING THE PHRASE CITY OF SPOKANE. >> I MEAN IN THEIR DEFENSE NOTHING SAYS THE PHRASE CITY OF SPOKANE. >> I MEAN IN THEIR DEFENSE NOTHING SAYS SPOKANE THE PHRASE CITY OF SPOKANE. >> I MEAN IN THEIR DEFENSE NOTHING SAYS SPOKANE LIKE THE PHRASE CITY OF SPOKANE. >> I MEAN IN THEIR DEFENSE NOTHING SAYS SPOKANE LIKE A >> I MEAN IN THEIR DEFENSE NOTHING SAYS SPOKANE LIKE A >> I MEAN IN THEIR DEFENSE NOTHING SAYS SPOKANE LIKE A FLAG >> I MEAN IN THEIR DEFENSE NOTHING SAYS SPOKANE LIKE A FLAG THAT >> I MEAN IN THEIR DEFENSE NOTHING SAYS SPOKANE LIKE A FLAG THAT SAYS >> I MEAN IN THEIR
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0. Occupation: Accountant, other federal agencies; Resignations: 16%; Retirements: 45%; Transfers to another federal agency: 34%; Fired, reduction in force, and other separations: 5%. Occupation: Actuary, PBGC; Resignations: 71%; Retirements: 14%; Transfers to another federal agency: 14%; Fired, reduction in force, and other separations: 0. Occupation: Actuary, other federal agencies; Resignations: 39%; Retirements: 50%; Transfers to another federal agency: 7%; Fired, reduction in force, and other separations: 5%. Occupation: Attorney, PBGC; Resignations: 66%; Retirements: 13%; Transfers to another federal agency: 21%; Fired, reduction in force, and other separations: 0. Occupation: Attorney, other federal agencies; Resignations: 55%; Retirements: 25%; Transfers to another federal agency: 16%; Fired, reduction in force, and other separations: 4%. Occupation: Auditor, PBGC; Resignations: 13%; Retirements: 53%; Transfers to another federal agency: 30%; Fired, reduction in force, and other separations: 4%. Occupation: Auditor, other federal agencies; Resignations: 29%; Retirements: 39%; Transfers to another federal agency: 27%; Fired, reduction in force, and other separations: 5%. Occupation: Financial analyst, PBGC; Resignations: 83%; Retirements: 6%; Transfers to anotherfederal agency: 11%; Fired, reduction in force, and other separations: 0. Occupation: Financial analyst, other federal agencies; Resignations: 24%; Retirements: 51%; Transfers to another federal agency: 19%; Fired, reduction in force, and other separations: 7%. Occupation: Information technology specialist, PBGC; Resignations: 17%; Retirements: 30%; Transfers to another federal agency: 48%; Fired, reduction in force, and other separations: 4%. Occupation: Information technology specialist, other federal agencies; Resignations: 21%; Retirements: 55%; Transfers to another federal agency: 17%; Fired, reduction in force, and other separations: 7%. Occupation: Pension law specialist, PBGC; Resignations: 19%; Retirements: 76%; Transfers to another federal agency: 0; Fired, reduction in force, and other separations: 5%. Occupation: Pension law specialist, other federal agencies; Resignations: 71%; Retirements: 22%; Transfers to another federal agency: 7%; Fired, reduction in force, and other separations: 0. Source: GAO analysis of CPDF data. Note: Totals may not add up to 100 due to rounding. [End of figure] PBGC May Face Workforce Challenges Regarding Key
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46,415,652
| Medium | | 1145 | [二叉树着色游戏](../../problems/binary-tree-coloring-game) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 1130 | [叶值的最小代价生成树](../../problems/minimum-cost-tree-from-leaf-values) | [[栈](../stack/README.md)] [[树](../tree/README.md)] [[动态规划](../dynamic-programming/README.md)] | Medium | | 1123 | [最深叶节点的最近公共祖先](../../problems/lowest-common-ancestor-of-deepest-leaves) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 1120 | [子树的最大平均值](../../problems/maximum-average-subtree) 🔒 | [[树](../tree/README.md)] | Medium | | 1110 | [删点成林](../../problems/delete-nodes-and-return-forest) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 1104 | [二叉树寻路](../../problems/path-in-zigzag-labelled-binary-tree) | [[树](../tree/README.md)] [[数学](../math/README.md)] | Medium | | 1028 | [从先序遍历还原二叉树](../../problems/recover-a-tree-from-preorder-traversal) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Hard | | 1026 | [节点与其祖先之间的最大差值](../../problems/maximum-difference-between-node-and-ancestor) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 1022 | [从根到叶的二进制数之和](../../problems/sum-of-root-to-leaf-binary-numbers) | [[树](../tree/README.md)] | Easy | | 1008 | [先序遍历构造二叉树](../../problems/construct-binary-search-tree-from-preorder-traversal) | [[树](../tree/README.md)] | Medium | | 998 | [最大二叉树 II](../../problems/maximum-binary-tree-ii) | [[树](../tree/README.md)] | Medium | | 993 | [二叉树的堂兄弟节点](../../problems/cousins-in-binary-tree) | [[树](../tree/README.md)] [[广度优先搜索](../breadth-first-search/README.md)] | Easy | | 988 | [从叶结点开始的最小字符串](../../problems/smallest-string-starting-from-leaf) | [[树](../tree/README.md)][[深度优先搜索](../depth-first-search/README.md)] | Medium | | 987 | [二叉树的垂序遍历](../../problems/vertical-order-traversal-of-a-binary-tree) | [[树](../tree/README.md)] [[哈希表](../hash-table/README.md)] | Medium | | 979 | [在二叉树中分配硬币](../../problems/distribute-coins-in-binary-tree) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 971 | [翻转二叉树以匹配先序遍历](../../problems/flip-binary-tree-to-match-preorder-traversal) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Medium | | 968 | [监控二叉树](../../problems/binary-tree-cameras) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] [[动态规划](../dynamic-programming/README.md)] | Hard | | 965 | [单值二叉树](../../problems/univalued-binary-tree) | [[树](../tree/README.md)] | Easy | | 958 | [二叉树的完全性检验](../../problems/check-completeness-of-a-binary-tree) | [[树](../tree/README.md)] | Medium | | 951 | [翻转等价二叉树](../../problems/flip-equivalent-binary-trees) | [[树](../tree/README.md)] | Medium | | 938 | [二叉搜索树的范围和](../../problems/range-sum-of-bst) | [[树](../tree/README.md)] [[递归](../recursion/README.md)] | Easy | | 919 | [完全二叉树插入器](../../problems/complete-binary-tree-inserter) | [[树](../tree/README.md)] | Medium | | 897 | [递增顺序查找树](../../problems/increasing-order-search-tree) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)] | Easy | | 894 | [所有可能的满二叉树](../../problems/all-possible-full-binary-trees) | [[树](../tree/README.md)] [[递归](../recursion/README.md)] | Medium | | 889 | [根据前序和后序遍历构造二叉树](../../problems/construct-binary-tree-from-preorder-and-postorder-traversal) | [[树](../tree/README.md)] | Medium | | 872 | [叶子相似的树](../../problems/leaf-similar-trees) | [[树](../tree/README.md)] [[深度优先搜索](../depth-first-search/README.md)]
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5,572,101
58.46, 36.09) – ( 58.77, 36.10) – ( 59.08, 36.12) – ( 59.38, 36.13) – ( 59.67, 36.15) – ( 59.95, 36.16) – ( 60.23, 36.18) – ( 60.50, 36.19) – ( 60.77, 36.21) – ( 61.03, 36.22) – ( 61.28, 36.24) – ( 61.53, 36.25) – ( 61.77, 36.27) – ( 62.01, 36.28) – ( 62.25, 36.30) – ( 62.48, 36.31) – ( 62.71, 36.33) – ( 62.93, 36.34) – ( 63.15, 36.36) – ( 63.36, 36.37) – ( 63.57, 36.38) – ( 63.78, 36.40) – ( 63.98, 36.41) – ( 64.19, 36.43) – ( 64.38, 36.44) – ( 64.58, 36.46) – ( 64.77, 36.47) – ( 64.96, 36.49) – ( 65.14, 36.50) – ( 65.33, 36.52) – ( 65.51, 36.53) – ( 65.68, 36.55) – (73.80, 37.50) – ( 73.89, 37.51) – ( 73.98, 37.53) – ( 74.07, 37.54) – ( 74.16, 37.56) – ( 74.24, 37.57) – ( 74.33, 37.59) – ( 74.42, 37.60) – ( 74.51, 37.62) – ( 74.59, 37.63) – ( 74.68, 37.65) – ( 74.76, 37.66) – ( 74.85, 37.68) – ( 74.93, 37.69) – ( 75.01, 37.70) – ( 75.10, 37.72) – ( 75.18, 37.73) – ( 75.26, 37.75) – ( 75.34, 37.76) – ( 75.42, 37.78) – ( 75.50, 37.79) – ( 75.58, 37.81) – ( 75.66, 37.82) – ( 75.74, 37.84) – ( 75.82, 37.85) – ( 75.89, 37.86) – ( 75.97, 37.88) – ( 76.05, 37.89) – ( 76.12, 37.91) – ( 76.20, 37.92) – ( 76.27, 37.94) – ( 76.35, 37.95) – (
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3,019,944
play with you today. That's right nerds. It's Batman Love Letter. Now Batman Love Letter is a game of logic, deduction, and risk, in which you try to capture or hold the highest value card in your hand by the end of the rounds. In the meantime we'll all be playing cards in order to eliminate each other. But whoever has the highest-value card at the end of the round will win a token. So who will be the greatest detective in all of Gotham? It's gonna be Batman. BECCA: Oh, no, no, no, no, no, it'll be Poison Ivy. IFY: You guys both are wrong, it's going to be Bane. HECTOR: It's probably not gonna be Robin. (all laugh) IVAN: Now, normally we will play until seven tokens, but for the purposes of this video, we'll play until three. Chinese: [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] English: Whoever gets three is gonna win. Let's play. Pass out your cards Becca, [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] [小休] English: Jiminey Jillickers. BECCA: Now you have to do something terribly embarrassing, right? Or is that just Half Scrolls? HECTOR: Like maybe wear a Robin costume, cool, sounds good. Oh, already doing it, great. So great. IVAN: I have two cards and I'm going to also play the Batman. You've been picked on a lot, Poison Ivy. BECCA: I've been picked on so much. IVAN: You played a Batman. HECTOR: Get him Batman. IVAN: I'm gonna guess you've got a Poison Ivy. IFY: You're wrong! IVAN: (groans) IFY: No survivors! IVAN: (laughs) All right, I'm done, go ahead, Poison Ivy. BECCA: If anyone's wondering why so many Batman cards are being drawn, it's because there are five in the deck. There's either one or two of all the other characters. So I draw, and I will play, myself, Poison Ivy. This card says, choose any player including yourself to discard his or her hand, and draw a new card. Ivan,
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"sub" => $%SUB-token, "fsub" => $%FSUB-token, "mul" => $%MUL-token, "fmul" => $%FMUL-token, "udiv" => $%UDIV-token, "sdiv" => $%SDIV-token, "fdiv" => $%FDIV-token, "urem" => $%UREM-token, "srem" => $%SREM-token, "frem" => $%FREM-token, "shl" => $%SHL-token, "lshr" => $%LSHR-token, "ashr" => $%ASHR-token, "and" => $%AND-token, "or" => $%OR-token, "xor" => $%XOR-token, "icmp" => $%ICMP-token, "fcmp" => $%FCMP-token, "phi" => $%PHI-token, "call" => $%CALL-token, "trunc" => $%TRUNC-token, "zext" => $%ZEXT-token, "sext" => $%SEXT-token, "fptrunc" => $%FPTRUNC-token, "fpext" => $%FPEXT-token, "uitofp" => $%UITOFP-token, "sitofp" => $%SITOFP-token, "fptoui" => $%FPTOUI-token, "fptosi" => $%FPTOSI-token, "inttoptr" => $%INTTOPTR-token, "ptrtoint" => $%PTRTOINT-token, "bitcast" => $%BITCAST-token, "select" => $%SELECT-token, "va_arg" => $%VAARG-token, "ret" => $%RET-token, "br" => $%BR-token, "switch"
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IN ATLANTA TEACHES PEOPLE THE KING CENTER WHICH IS IN ATLANTA TEACHES PEOPLE YEAR ATLANTA TEACHES PEOPLE YEAR ATLANTA TEACHES PEOPLE YEAR ROUND ATLANTA TEACHES PEOPLE YEAR ROUND ABOUT ATLANTA TEACHES PEOPLE YEAR ROUND ABOUT HER ATLANTA TEACHES PEOPLE YEAR ROUND ABOUT HER FATHER'S ROUND ABOUT HER FATHER'S ROUND ABOUT HER FATHER'S PRINCIPLES ROUND ABOUT HER FATHER'S PRINCIPLES OF ROUND ABOUT HER FATHER'S PRINCIPLES OF NONVIOLENCE. ROUND ABOUT HER FATHER'S PRINCIPLES OF NONVIOLENCE. BUT PRINCIPLES OF NONVIOLENCE. BUT PRINCIPLES OF NONVIOLENCE. BUT AROUND PRINCIPLES OF NONVIOLENCE. BUT AROUND THIS PRINCIPLES OF NONVIOLENCE. BUT AROUND THIS TIME PRINCIPLES OF NONVIOLENCE. BUT AROUND THIS TIME LAST PRINCIPLES OF NONVIOLENCE. BUT AROUND THIS TIME LAST YEAR PRINCIPLES OF NONVIOLENCE. BUT AROUND THIS TIME LAST YEAR IT AROUND THIS TIME LAST YEAR IT AROUND THIS TIME LAST YEAR IT WAS AROUND THIS TIME LAST YEAR IT WAS SHUT AROUND THIS TIME LAST YEAR IT WAS SHUT DOWN AROUND THIS TIME LAST YEAR IT WAS SHUT DOWN OVER AROUND THIS TIME LAST YEAR IT WAS SHUT DOWN OVERTHE AROUND THIS TIME LAST YEAR IT WAS SHUT DOWN OVER THE HOLIDAY WAS SHUT DOWN OVER THE HOLIDAY WAS SHUT DOWN OVER THE HOLIDAY WEEKEND. WAS SHUT DOWN OVER THE HOLIDAY WEEKEND. THE WAS SHUT DOWN OVER THE HOLIDAY WEEKEND. THE KING WAS SHUT DOWN OVER THE HOLIDAY WEEKEND. THE KING CENTER WAS SHUT DOWN OVER THE HOLIDAY WEEKEND. THE KING CENTER HAD WEEKEND. THE KING CENTER HAD WEEKEND. THE KING CENTER HAD THOUSANDS WEEKEND. THE KING CENTER HAD THOUSANDS OF WEEKEND. THE KING CENTER HAD THOUSANDS OF VISITORS WEEKEND. THE KING CENTER HAD THOUSANDS OF VISITORS AND THOUSANDS OF VISITORS AND THOUSANDS OF VISITORS AND BERNICE THOUSANDS OF VISITORS AND BERNICE SAYS THOUSANDS OF VISITORS AND BERNICE SAYS WHAT THOUSANDS OF VISITORS AND BERNICE SAYS WHAT HER THOUSANDS OF VISITORS AND BERNICE SAYS WHAT HER FATHER BERNICE SAYS WHAT HER FATHER BERNICE SAYS WHAT HER FATHER WOULD BERNICE SAYS WHAT HER FATHER WOULD WANT BERNICE SAYS WHAT HER FATHER WOULD WANT TODAY BERNICE SAYS WHAT HER FATHER WOULD
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48,030,332
2016�2023 (USD Million) Table 156 Germany: Biosurgery Market, By Application, 2016�2023 (USD Million) Table 157 UK: Key Macroindicators for the Biosurgery Market Table 158 UK: Biosurgery Market, By Product, 2016�2023 (USD Million) Table 159 UK: Surgical Sealants & Adhesives Market, By Type, 2016�2023 (USD Million) Table 160 UK: Natural/Biological Sealants Market, By Type, 2016�2023 (USD Million) Table 161 UK: Natural/Biological Sealants Market, By Origin, 2016�2023 (USD Million) Table 162 UK: Synthetic & Semi-Synthetic Sealants Market, By Type, 2016�2023 (USD Million) Table 163 UK: Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 164 UK: Natural Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 165 UK: Synthetic Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 166 UK: Soft-Tissue Attachments Market, By Type, 2016�2023 (USD Million) Table 167 UK: Biological Meshes Market, By Type, 2016�2023 (USD Million) Table 168 UK: Bone-GraftSubstitutes Market, By Type, 2016�2023 (USD Million) Table 169 UK: Biosurgery Market, By Application, 2016�2023 (USD Million) Table 170 France: Key Macroindicators for the Bosurgery Market Table 171 France: Biosurgery Market, By Product, 2016�2023 (USD Million) Table 172 France: Surgical Sealants and Adhesives Market, By Type, 2016�2023 (USD Million) Table 173 France: Natural/Biological Sealants Market, By Type, 2016�2023 (USD Million) Table 174 France: Natural/Biological Sealants Market, By Origin, 2016�2023 (USD Million) Table 175 France: Synthetic & Semi-Synthetic Sealants Market, By Type, 2016�2023 (USD Million) Table 176 France: Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 177 France: Natural Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 178 France: Synthetic Adhesion Barriers Market, By Type, 2016�2023 (USD Million) Table 179 France: Soft-Tissue Attachments Market, By Type, 2016�2023 (USD Million) Table 180 France: Biological Meshes Market, By Type, 2016�2023 (USD
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MEMBER KATE BURKE PROPER FLAG DESIGN. THAT'S WHY COUNCIL MEMBER KATE BURKE LED PROPER FLAG DESIGN. THAT'S WHY COUNCIL MEMBER KATE BURKE LED A PROPER FLAG DESIGN. THAT'S WHY COUNCIL MEMBER KATE BURKE LED A CHARGE PROPER FLAG DESIGN. THAT'S WHY COUNCIL MEMBER KATE BURKE LED A CHARGE TO PROPER FLAG DESIGN. THAT'S WHY COUNCIL MEMBER KATE BURKE LED A CHARGE TO REPLACE THAT'S WHY COUNCIL MEMBER KATE BURKE LED A CHARGE TO REPLACE THAT'S WHY COUNCIL MEMBER KATE BURKE LED A CHARGE TO REPLACE IT THAT'S WHY COUNCIL MEMBER KATE BURKE LED A CHARGE TO REPLACE IT CREATING THAT'S WHY COUNCIL MEMBER KATE BURKE LED A CHARGE TO REPLACE IT CREATING THE THAT'S WHY COUNCIL MEMBER KATE BURKE LED A CHARGE TO REPLACE IT CREATING THE SPOKANE THAT'S WHY COUNCIL MEMBER KATE BURKE LED A CHARGE TO REPLACE IT CREATING THE SPOKANE FLAG BURKE LED A CHARGE TO REPLACE IT CREATING THE SPOKANE FLAG BURKE LED A CHARGE TO REPLACE IT CREATING THE SPOKANEFLAG COMMISSION BURKE LED A CHARGE TO REPLACE IT CREATING THE SPOKANE FLAG COMMISSION LAST BURKE LED A CHARGE TO REPLACE IT CREATING THE SPOKANE FLAG COMMISSION LAST YEAR. IT CREATING THE SPOKANE FLAG COMMISSION LAST YEAR. IT CREATING THE SPOKANE FLAG COMMISSION LAST YEAR. >> IT CREATING THE SPOKANE FLAG COMMISSION LAST YEAR. >> AND IT CREATING THE SPOKANE FLAG COMMISSION LAST YEAR. >> AND NOW IT CREATING THE SPOKANE FLAG COMMISSION LAST YEAR. >> AND NOW IN IT CREATING THE SPOKANE FLAG COMMISSION LAST YEAR. >> AND NOW IN THE IT CREATING THE SPOKANE FLAG COMMISSION LAST YEAR. >> AND NOW IN THE SPIRIT IT CREATING THE SPOKANE FLAG COMMISSION LAST YEAR. >> AND NOW IN THE SPIRIT OF COMMISSION LAST YEAR. >> AND NOW IN THE SPIRIT OF COMMISSION LAST YEAR. >> AND NOW IN THE SPIRIT OF CITIES COMMISSION LAST YEAR. >> AND NOW IN THE SPIRIT OF CITIES LIKE COMMISSION LAST YEAR. >> AND NOW IN THE SPIRIT OF CITIES LIKE POCATELLO COMMISSION LAST YEAR. >>
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JOURNEY OF A FATHE TRYING TO MASTER HIS DAUGHTERS TRYING TO MASTER HIS DAUGHTERS TRYING TO MASTER HIS DAUGHTERS NATURALLY TRYING TO MASTER HIS DAUGHTERS NATURALLY CURLY TRYING TO MASTER HIS DAUGHTERS NATURALLY CURLY HAIR TRYING TO MASTER HIS DAUGHTERS NATURALLY CURLY HAIR WHILE TRYING TO MASTER HIS DAUGHTERS NATURALLY CURLY HAIR WHILE HER NATURALLY CURLY HAIR WHILE HER NATURALLY CURLY HAIR WHILE HER MOM NATURALLY CURLY HAIR WHILE HER MOM RECOVERS NATURALLY CURLY HAIR WHILE HER MOM RECOVERS IN NATURALLY CURLY HAIR WHILE HER MOM RECOVERS IN THE NATURALLY CURLY HAIR WHILE HER MOM RECOVERS IN THE HOSPITAL. NATURALLY CURLY HAIR WHILE HER MOM RECOVERS IN THE HOSPITAL. 4@ MOM RECOVERS IN THE HOSPITAL. 4@ MOM RECOVERS IN THE HOSPITAL. 4@ THAT MOM RECOVERS IN THE HOSPITAL. 4@ THAT STORY MOM RECOVERS IN THE HOSPITAL. 4@ THAT STORY WILL MOM RECOVERS IN THE HOSPITAL. 4@ THAT STORY WILL REACH MOM RECOVERS IN THE HOSPITAL. 4@ THAT STORY WILL REACH A MOM RECOVERS IN THEALSO FOCUS ON JUST HUGE COMPONENT BUT IT ALSO FOCUS ON JUST THE HUGE COMPONENT BUT IT ALSO FOCUS ON JUST THE KIND HUGE COMPONENT BUT IT ALSO FOCUS ON JUST THE KIND OF HUGE COMPONENT BUT IT ALSO FOCUS ON JUST THE KIND OF DAY FOCUS ON JUST THE KIND OF DAY FOCUS ON JUST THE KIND OF DAY TO FOCUS ON JUST THE KIND OF DAY TO DAY FOCUS ON JUST THE KIND OF DAY TO DAY STRUGGLES FOCUS ON JUST THE KIND OF DAY TO DAY STRUGGLES AND FOCUS ON JUST THE KIND OF DAY TO DAY STRUGGLES AND JOYS FOCUS ON JUST THE KIND OF DAY TO DAY STRUGGLES AND JOYS AND TO DAY STRUGGLES AND JOYS AND TO DAY STRUGGLES AND JOYS AND EVENTS TO DAY STRUGGLES AND JOYS AND EVENTS THAT TO DAY STRUGGLES AND JOYS AND EVENTS THAT THIS TO DAY STRUGGLES AND JOYS AND EVENTS THAT THIS YOUNG TO DAY STRUGGLES AND
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59,563,760
– ( 75.97, 36.37) – ( 76.05, 36.37) – ( 76.12, 36.38) – ( 76.20, 36.39) – ( 76.27, 36.39) – ( 76.35, 36.40) – ( 76.42, 36.40) – ( 76.50, 36.41) – ( 76.57, 36.41) – ( 76.64, 36.42) – ( 76.71, 36.42) – ( 76.79, 36.43) – ( 76.86, 36.43) – ( 76.93, 36.44) – ( 77.00, 36.44) – ( 77.07, 36.45) – ( 77.14, 36.45) – ( 77.21, 36.46) – ( 77.28, 36.46) – ( 77.35, 36.47) – ( 77.42, 36.48) – ( 77.48, 36.48) – ( 77.55, 36.49) – ( 77.62, 36.49) – ( 77.69, 36.50) – ( 77.75, 36.50) – ( 77.82, 36.51) – ( 77.89, 36.51) – ( 77.95, 36.52) – ( 78.02, 36.52) – ( 78.08, 36.53) – ( 78.15, 36.53)– ( 80.10, 36.71) – ( 80.16, 36.71) – ( 80.21, 36.72) – ( 80.27, 36.72) – ( 80.32, 36.73) – ( 80.38, 36.73) – ( 80.43, 36.74) – ( 80.48, 36.75) – ( 80.54, 36.75) – ( 80.59, 36.76) – ( 80.64, 36.76) – ( 80.69, 36.77) – ( 80.75, 36.77) – ( 80.80, 36.78) – ( 80.85, 36.78) – ( 80.90, 36.79) – ( 80.95, 36.79) – ( 81.00, 36.80) – ( 81.05, 36.80) – ( 81.10, 36.81) – ( 81.16, 36.81) – ( 81.21, 36.82) – ( 81.26, 36.82) – ( 81.31, 36.83) – ( 81.36, 36.84) – ( 81.40, 36.84) – ( 81.45, 36.85) – ( 81.50, 36.85) – ( 81.55, 36.86) – ( 81.60, 36.86) – ( 81.65, 36.87) – ( 81.70, 36.87)
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mp3 players) View Links to Program References Jan 15 to 31, 2014. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References Jan 1 to 15, 2014. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References Dec 15 to 31, 2013. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References Dec 1 to 15, 2013. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References Nov 15 to 30, 2013. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References Nov 1 to 15, 2013. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References Oct 15 to 31, 2013. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References Oct 1 to 15, 2013. Download podcast (enhanced podcast) Download (for non ipodmp3 players) View Links to Program References Sep 1 to 15, 2013. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References Aug 15 to 31, 2013. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References Aug 1 to 15, 2013. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References July 15 to 31, 2013. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References July 1 to 15, 2013. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References June 15 to 30, 2013. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References June 1 to 15, 2013. Download podcast (enhanced podcast) Download (for non ipod mp3 players) View Links to Program References May 15 to 31, 2013. Download podcast (enhanced podcast) Download (for non ipod
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5,201,205
604, alin. 2 Istoria Transilvaniei, pag. 200, alin. 3 şi 201, alin. 1– sus, din Schimbare şi devenire, pag. 604, alin. 3 şi 605, alin. 1 – jos Istoria Transilvaniei, pag. 200, alin. 1 – Schimbare şi devenire, pag. 605, alin. 1. Istoria Transilvaniei, pag. 201, alin. 2 şi 202, alin. 1– sus, din Schimbare şi devenire, pag. 605, alin. 2 şi 606, alin. 1 – jos Istoria Transilvaniei, pag. 202, alin. 2 şi 203, alin. 1– sus, din Schimbare şi devenire, pag. 606, alin. 2 şi 607, alin 1 Istoria Transilvaniei, pag. 203, alin. 2 – Schimbare şi devenire, pag. 607, alin. 2 . Istoria Transilvaniei, pag. 203, alin. 3 şi 204, alin. 1 – Schimbare şi devenire, pag. 607, alin. 3 Istoria Transilvaniei, pag. 204, alin. 1 – Schimbare şi devenire, pag. 608, alin. 1 Istoria Transilvaniei, pag.204, alin. 2 şi 205, alin. 1 – Schimbare şi devenire, pag. 608, alin. 2 Istoria Transilvaniei, pag. 205, alin 2 – Schimbare şi devenire, pag. 608, alin. 3 Istoria Transilvaniei, pag. 205, alin. 2 – Schimbare şi devenire, pag. 609, alin. 1 Istoria Transilvaniei, pag. 205, alin. 3 şi 206, alin. 1 – Schimbare şi devenire, pag. 609, alin. 2 Istoria Transilvaniei, pag. 206, alin. 3 – Schimbare şi devenire, pag. 609, alin. 3 Istoria Transilvaniei, pag. 206, alin. 3 şi 207, alin. 1 – sus, din Schimbare şi devenire, pag. 609, alin. 3 şi 610, alin. 1 Istoria Transilvaniei, pag. 206, alin. 3 şi 207, alin. 1 – Schimbare şi devenire, pag. 610, alin. 3 Istoria Transilvaniei, pag. 207, alin. 2 şi 208, alin. 1 – Schimbare şi devenire, pag. 611, alin. 2 Istoria Transilvaniei,
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6,998,851
– ( 89.49, 38.06) – ( 89.51, 38.06) – ( 89.54, 38.07) – ( 89.56, 38.07) – ( 89.59, 38.08) – ( 89.61, 38.08) – ( 89.64, 38.09) – ( 89.66, 38.09) – ( 89.69, 38.10) – ( 89.72, 38.10) – ( 89.74, 38.11) – ( 89.77, 38.11) – ( 89.79, 38.12) – ( 89.82, 38.12) – ( 89.84, 38.13) – ( 89.87, 38.13) – ( 89.89, 38.14) – ( 89.92, 38.15) – ( 89.94, 38.15) – ( 89.96, 38.16) – ( 89.99, 38.16) – ( 90.01, 38.17) – ( 90.04, 38.17) – ( 90.06, 38.18) – ( 90.09, 38.18) – ( 90.11, 38.19) – ( 90.14, 38.19) – ( 90.16, 38.20) – ( 90.19, 38.20) – ( 90.21, 38.21) – ( 90.23, 38.21) – ( 90.26, 38.22)– ( 90.28, 38.22) – ( 90.31, 38.23) – ( 90.33, 38.23) – ( 90.35, 38.24) – ( 90.38, 38.24) – ( 90.40, 38.25) – ( 90.43, 38.26) – ( 90.45, 38.26) – ( 90.47, 38.27) – ( 90.50, 38.27) – ( 90.52, 38.28) – ( 90.54, 38.28) – ( 90.57, 38.29) – ( 90.59, 38.29) – ( 90.61, 38.30) – ( 90.64, 38.30) – ( 90.66, 38.31) – ( 90.68, 38.31) – ( 90.71, 38.32) – ( 90.73, 38.32) – ( 90.75, 38.33) – ( 90.78, 38.33) – ( 90.80, 38.34) – ( 90.82, 38.34) – ( 90.85, 38.35) – ( 90.87, 38.35) – ( 90.89, 38.36) – ( 90.92, 38.36) – ( 90.94, 38.37) – ( 90.96, 38.38) – ( 90.98, 38.38) – ( 91.01, 38.39)
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3,019,998
sneer. And the next, and the next, I'll still sneer. And the next, and the next, I'll still sneer. tsugi no tsugi no tsugi mo choushou shiyou tsugi no tsugi no tsugi mo choushou shiyou tsugi no tsugi no tsugi mo choushou shiyou tsugi no tsugi no tsugi mo choushou shiyou tsugi no tsugi no tsugi mo choushou shiyou And the next, and the next, I'll still sneer. And the next, and the next, I'll still sneer. And the next, and the next, I'll still sneer. And the next, and the next, I'll still sneer. And the next, and the next, I'll still sneer. tsugi no tsugi no tsugi mo choushou shiyou tsugi no tsugi no tsugi mo choushou shiyou tsugi no tsugi no tsugi mo choushou shiyou tsugi no tsugi no tsugi mo choushou shiyou tsugi no tsugi no tsugi mo choushou shiyou And thethe next, and the next, I'll still sneer. tsugi no tsugi no tsugi mo choushou shiyou tsugi no tsugi no tsugi mo choushou shiyou tsugi no tsugi no tsugi mo choushou shiyou tsugi no tsugi no tsugi mo choushou shiyou tsugi no tsugi no tsugi mo choushou shiyou And the next, and the next, I'll still sneer. And the next, and the next, I'll still sneer. And the next, and the next, I'll still sneer. And the next, and the next, I'll still sneer. And the next, and the next, I'll still sneer. tsugi no tsugi no tsugi mo choushou shiyou tsugi no tsugi no tsugi mo choushou shiyou tsugi no tsugi no tsugi mo choushou shiyou tsugi no tsugi no tsugi mo choushou shiyou tsugi no tsugi no tsugi mo choushou shiyou And the next, and the next, I'll still sneer. And the next,
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54,196,525
(RB) Bremen Eins (FM, DVB-S) Bremen Vier (FM, DVB-S) Funkhaus Europa (FM, DVB-S) Nordwestradio (FM, DVB-S) Rundfunk Berlin-Brandenburg (rbb) Antenne Brandenburg (FM, DVB-S) Fritz (FM, DVB-S) Inforadio (FM, DVB-S) Kulturradio (FM, DVB-S) Radio Berlin 88,8 (FM, DVB-S) Radio Eins (FM, DVB-S) Sorbischer Rundfunk (FM) Saarländischer Rundfunk (SR) Antenne Saar (DAB) SR 1 Europawelle (FM, DAB, DVB-S) SR 2 Kulturradio (FM, DAB, DVB-S) SR 3 Saarlandwelle (FM, DAB, DVB-S) Unser Ding (FM, DAB) Südwestrundfunk (SWR) DASDING (FM, DAB, DVB-S, DAB+, Internet) SWR1: SWR1 Baden-Württemberg (FM, DAB, DVB-S) SWR1 Rheinland-Pfalz (FM, DAB, DVB-S) SWR2 (FM, DAB, DVB-S) SWR3 (FM, DAB, DVB-S) SWR4: SWR4 Baden-Württemberg (FM, DVB-S) SWR4 Rheinland-Pfalz (FM, DAB, DVB-S) SWR cont.ra (FM, DAB, DVB-S) Westdeutscher Rundfunk (WDR) 1LIVE (FM, DAB, DVB-S) 1LIVE diggi (DAB, DVB-S) Funkhaus Europa (FM, DAB, DVB) WDR 2 (FM, DAB, DVB-S) KiRaKa (DRM, DAB, DVB) WDR 3 (FM, DVB-S) WDR 4 (FM, DVB-S) WDR 5 (FM, DVB-S) WDR Info (DAB) WDR Vera (DAB) WDR Event (DAB, DVB-S) Private radio stations Radio stations which broadcast in more thanUnerhört Marburg (FM) Radio X (FM) RundFunk Meißner (FM) Mecklenburg-Vorpommern LOHRO (FM) NB-Radiotreff 88.0 (FM) radio 98eins (FM) Welle Kummerower See (FM) Lower Saxony Oldenburg eins (FM) osradio (FM) radio aktiv (FM) Radio Flora (FM) Radio Jade (FM) Radio Marabu (FM) Radio Okerwelle (FM) Radio Ostfriesland (FM) Radio Tonkuhle (FM) Radio Umland (FM) radioWSM (FM) Radio ZuSa (FM) StadtRadio Göttingen (FM) Sturmwellensender (FM) Northrhine-Westphalia AJZ-Radiogruppe (FM) Antenne Bethel (FM) Bootbox Bielefeld (FM) Bürgerfunk im Bergischen Land (FM) Düsselwelle (FM) Freies Radio Paderborn (FM) Radio Joystick (FM) Radio MikroWelle (FM) Medienforum Münster (FM) Neue Essener Welle (FM) Radio Rosa Rauschen (FM) Saxony 99drei Radio Mittweida (FM) coloRadio (FM) mephisto 97.6 (FM) Radio Blau (FM) Radio T (FM) Saxony-Anhalt Radio Corax (FM) Radio HBW (FM) Freies Radio Naumburg (FM) Schleswig-Holstein Freie RadioCooperative (FM) Offener Kanal Kiel/ Kiel FM (FM) Offener Kanal Lübeck (FM) Offener Kanal Westküste (FM) Thuringia Radio F.R.E.I. (FM) Radio FunSWerk (FM) Radio hsf (FM) Radio Jena (FM) Radio Lotte (FM) Offener Kanal Nordhausen (FM) MAX-FM (FM) Wartburg-Radio (FM) Campus radio Baden-Württemberg HoRadS, Stuttgart (FM) RadioAktiv, Mannheim und Heidelberg (FM) Radio Fri, Karlsruhe (FM) Bavaria AFK M94.5 (FM) AFK max (FM)
{ "pile_set_name": [ "Wikipedia (en)", "Wikipedia (en)" ] }
51,576,887
THEY THEY ALSO THEY ALSO BLAMED THEY ALSO BLAMED THE THEY ALSO BLAMED THE COAST THEY ALSO BLAMED THE COAST GUARD THEY ALSO BLAMED THE COAST GUARD FOR THEY ALSO BLAMED THE COAST GUARD FOR NOT THEY ALSO BLAMED THE COAST GUARD FOR NOT MAKING THEY ALSO BLAMED THE COAST GUARD FOR NOT MAKING CHANGES GUARD FOR NOT MAKING CHANGES GUARD FOR NOT MAKING CHANGES WITH GUARD FOR NOT MAKING CHANGES WITH THE GUARD FOR NOT MAKING CHANGES WITH THE DUCK GUARD FOR NOT MAKING CHANGES WITH THE DUCK BOAT GUARD FOR NOT MAKING CHANGES WITH THE DUCK BOAT DESIGN GUARD FOR NOT MAKING CHANGES WITH THE DUCK BOAT DESIGN AFTER WITH THE DUCK BOAT DESIGN AFTER WITH THE DUCK BOAT DESIGN AFTER A WITH THE DUCK BOAT DESIGN AFTER A SIMILAR WITH THE DUCK BOAT DESIGN AFTER A SIMILAR TRAGEDY WITH THE DUCK BOAT DESIGN AFTER A SIMILAR TRAGEDY IN WITH THE DUCK BOAT DESIGN AFTER A SIMILAR TRAGEDY IN ARKANSAS A SIMILAR TRAGEDY IN ARKANSAS ASIMILAR TRAGEDY IN ARKANSAS BACK A SIMILAR TRAGEDY IN ARKANSAS BACK IN A SIMILAR TRAGEDY IN ARKANSAS BACK IN 1999. A SIMILAR TRAGEDY IN ARKANSAS BACK IN 1999. 4@ BACK IN 1999. 4@ BACK IN 1999. 4@ >>> BACK IN 1999. 4@ >>> SUCCESS BACK IN 1999. 4@ >>> SUCCESS JUST BACK IN 1999. 4@ >>> SUCCESS JUST KEEPS BACK IN 1999. 4@ >>> SUCCESS JUST KEEPS ON >>> SUCCESS JUST KEEPS ON >>> SUCCESS JUST KEEPS ON COMING >>> SUCCESS JUST KEEPS ON COMING FOR >>> SUCCESS JUST KEEPS ON COMING FOR A >>> SUCCESS JUST KEEPS ON COMING FOR A ST. >>> SUCCESS JUST KEEPS ON COMING FOR A ST. LOUIS-BASED4@ COMING FOR A ST. LOUIS-BASED4@ COMING FOR A ST. LOUIS-BASED4@ ANIMATION COMING FOR A ST. LOUIS-BASED4@ ANIMATION COMPANY. ANIMATION COMPANY. ANIMATION COMPANY. ITS ANIMATION COMPANY. ITS FIRST ANIMATION COMPANY. ITS FIRST MAJOR ANIMATION COMPANY. ITS FIRST MAJOR PROJECT ANIMATION COMPANY. ITS FIRST MAJOR PROJECT WON ANIMATION COMPANY. ITS FIRST MAJOR PROJECT WON AN ITS FIRST MAJOR PROJECT WON AN ITS FIRST MAJOR PROJECT WON
{ "pile_set_name": [ "YoutubeSubtitles", "YoutubeSubtitles" ] }
59,563,756
"UNKNOWN (984)", "UNKNOWN (985)", "UNKNOWN (986)", "UNKNOWN (987)", "UNKNOWN (988)", "UNKNOWN (989)", "UNKNOWN (990)", "UNKNOWN (991)", "UNKNOWN (992)", "UNKNOWN (993)", "UNKNOWN (994)", "UNKNOWN (995)", "UNKNOWN (996)", "UNKNOWN (997)", "UNKNOWN (998)", "UNKNOWN (999)", "UNKNOWN (1000)", "UNKNOWN (1001)", "UNKNOWN (1002)", "UNKNOWN (1003)", "UNKNOWN (1004)", "UNKNOWN (1005)", "UNKNOWN (1006)", "UNKNOWN (1007)", "UNKNOWN (1008)", "UNKNOWN (1009)", "UNKNOWN (1010)", "UNKNOWN (1011)", "UNKNOWN (1012)", "UNKNOWN (1013)", "UNKNOWN (1014)", "UNKNOWN (1015)", "UNKNOWN (1016)", "UNKNOWN (1017)", "UNKNOWN (1018)", "UNKNOWN (1019)", "UNKNOWN (1020)", "UNKNOWN (1021)", "UNKNOWN (1022)", "UNKNOWN (1023)", "WM_USER" }; /* vi: set ts=4 sw=4 expandtab: */
{ "pile_set_name": [ "Github", "Github" ] }
44,433,735
(DOLLARS) (HISPANIC OR LATINO HOUSEHOLDER) [1] Universe: Households with a householder who is Hispanic or Latino Median household income in 1999 P152I. MEDIAN HOUSEHOLD INCOME IN 1999 (DOLLARS) (WHITE ALONE, NOT HISPANIC OR LATINO HOUSEHOLDER) [1] Universe: Households with a householder who is White alone, not Hispanic or Latino Median household income in 1999 P153A. AGGREGATE HOUSEHOLD INCOME IN 1999 (DOLLARS) (WHITE ALONE HOUSEHOLDER) [1] Universe: Households with a householder who is White alone Aggregate household income in 1999 P153B. AGGREGATE HOUSEHOLD INCOME IN 1999 (DOLLARS) (BLACK OR AFRICAN AMERICAN ALONE HOUSEHOLDER) [1] Universe: Households with a householder who is Black or African American alone Aggregate household income in 1999 P153C. AGGREGATE HOUSEHOLD INCOME IN 1999 (DOLLARS) (AMERICAN INDIAN AND ALASKA NATIVE ALONE HOUSEHOLDER) [1] Universe: Households with a householder who is American Indian and Alaska Native alone Aggregate household income in 1999 P153D. AGGREGATE HOUSEHOLD INCOME INhouseholder who is White alone Median family income in 1999 P155B. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) (BLACK OR AFRICAN AMERICAN ALONE HOUSEHOLDER) [1] Universe: Families with a householder who is Black or African American alone Median family income in 1999 P155C. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) (AMERICAN INDIAN AND ALASKA NATIVE ALONE HOUSEHOLDER) [1] Universe: Families with a householder who is American Indian and Alaska Native alone Median family income in 1999 P155D. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) (ASIAN ALONE HOUSEHOLDER) [1] Universe: Families with a householder who is Asian alone Median family income in 1999 P155E. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) (NATIVE HAWAIIAN AND OTHER PACIFIC ISLANDER ALONE HOUSEHOLDER) [1] Universe: Families with a householder who is Native Hawaiian and Other Pacific Islander alone Median family income in 1999 P155F. MEDIAN FAMILY INCOME IN 1999 (DOLLARS) (SOME OTHER RACE ALONE HOUSEHOLDER) [1] Universe:
{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
10,423,933
crm_iap_lead #: model:ir.model.constraint,message:crm_iap_lead.constraint_crm_iap_lead_role_name_uniq msgid "Role name already exists!" msgstr "Nome ruolo già esistente." #. module: crm_iap_lead #: model:ir.model.fields,field_description:crm_iap_lead.field_crm_iap_lead_mining_request__team_id #: model_terms:ir.ui.view,arch_db:crm_iap_lead.crm_iap_lead_mining_request_search msgid "Sales Team" msgstr "Team di vendita" #. module: crm_iap_lead #: model:ir.model.fields,field_description:crm_iap_lead.field_crm_iap_lead_mining_request__user_id #: model_terms:ir.ui.view,arch_db:crm_iap_lead.crm_iap_lead_mining_request_search msgid "Salesperson" msgstr "Addetto vendite" #. module: crm_iap_lead #: model:crm.iap.lead.industry,name:crm_iap_lead.crm_iap_lead_industry_164 msgid "Semiconductors & Semiconductor Equipment" msgstr "Semiconduttori e apparecchiature con semiconduttori" #. module: crm_iap_lead #: model:ir.model.fields,field_description:crm_iap_lead.field_crm_iap_lead_mining_request__seniority_id #: model:ir.model.fields.selection,name:crm_iap_lead.selection__crm_iap_lead_mining_request__contact_filter_type__seniority msgid "Seniority" msgstr "Anzianità" #. module: crm_iap_lead #: model:ir.model.fields,field_description:crm_iap_lead.field_crm_iap_lead_mining_request__company_size_min msgid "Size" msgstr "Dimensione" #. module: crm_iap_lead #: model:crm.iap.lead.industry,name:crm_iap_lead.crm_iap_lead_industry_165 msgid "Software & Services" msgstr "Software e servizi" #. module: crm_iap_lead #: model:ir.model.fields,field_description:crm_iap_lead.field_crm_iap_lead_mining_request__state_ids msgid "States" msgstr "Province" #. module: crm_iap_lead #: model:ir.model.fields,field_description:crm_iap_lead.field_crm_iap_lead_mining_request__state msgid "Status" msgstr "Stato" #. module: crm_iap_lead #: model_terms:ir.ui.view,arch_db:crm_iap_lead.crm_iap_lead_mining_request_form msgid "Submit" msgstr "Invia" #. module: crm_iap_lead #: model:ir.model.fields,field_description:crm_iap_lead.field_crm_iap_lead_industry__name msgid "Tag Name" msgstr "Nome etichetta" #. module: crm_iap_lead #: model:ir.model.constraint,message:crm_iap_lead.constraint_crm_iap_lead_industry_name_uniq msgid "Tag name already exists!" msgstr "Nome etichetta già esistente." #. module: crm_iap_lead #: model:ir.model.fields,field_description:crm_iap_lead.field_crm_iap_lead_mining_request__tag_ids msgid "Tags" msgstr "Etichette" #. module: crm_iap_lead #: model:ir.model.fields,field_description:crm_iap_lead.field_crm_iap_lead_mining_request__search_type msgid "Target" msgstr "Obiettivo" #. module: crm_iap_lead #: model:crm.iap.lead.industry,name:crm_iap_lead.crm_iap_lead_industry_166 msgid "Technology Hardware & Equipment" msgstr "Hardware e apparecchiature tecnologiche" #. module: crm_iap_lead #: model_terms:ir.ui.view,arch_db:crm_iap_lead.lead_message_template msgid "Technology Used :" msgstr "Tecnologia utilizzata:" #. module: crm_iap_lead #: model:crm.iap.lead.industry,name:crm_iap_lead.crm_iap_lead_industry_149 msgid "Telecommunication Services" msgstr "Servizi di telecomunicazione" #.module: crm_iap_lead #: code:addons/crm_iap_lead/models/crm_iap_lead_mining_request.py:0 #, python-format msgid "This makes a total of %d credits for this request." msgstr "Il totale per questa richiesta é di %d crediti" #. module: crm_iap_lead #: model_terms:ir.ui.view,arch_db:crm_iap_lead.lead_message_template msgid "Title" msgstr "Titolo" #. module: crm_iap_lead #: model:crm.iap.lead.industry,name:crm_iap_lead.crm_iap_lead_industry_136 msgid "Transportation" msgstr "Trasporto" #. module: crm_iap_lead #: model:ir.model.fields,field_description:crm_iap_lead.field_crm_iap_lead_mining_request__lead_type #: model_terms:ir.ui.view,arch_db:crm_iap_lead.crm_iap_lead_mining_request_search msgid "Type" msgstr "Tipologia" #. module: crm_iap_lead #: code:addons/crm_iap_lead/models/crm_iap_lead_mining_request.py:0 #, python-format msgid "" "Up to %d additional credits will be consumed to identify %d contacts per " "company." msgstr "" "Fino a %d crediti aggiuntivi verrano utilizzati per identificare %d contatti" " per azienda." #. module: crm_iap_lead #: model:crm.iap.lead.industry,name:crm_iap_lead.crm_iap_lead_industry_138 msgid "Utilities" msgstr "Servizi di pubblica utilità" #. module: crm_iap_lead #: model:crm.iap.lead.role,name:crm_iap_lead.crm_iap_lead_role_1 msgid "ceo" msgstr "Amministratore delegato" #. module: crm_iap_lead #: model:crm.iap.lead.role,name:crm_iap_lead.crm_iap_lead_role_2 msgid "communications" msgstr "comunicazioni" #. module: crm_iap_lead #: model:crm.iap.lead.role,name:crm_iap_lead.crm_iap_lead_role_3 msgid "consulting" msgstr "Consulenza" #. module: crm_iap_lead #: model:crm.iap.lead.role,name:crm_iap_lead.crm_iap_lead_role_4 msgid "customer_service" msgstr "customer_service" #. module: crm_iap_lead #: model:crm.iap.lead.seniority,name:crm_iap_lead.crm_iap_lead_seniority_1 msgid "director" msgstr "direttore" #. module: crm_iap_lead #: model:crm.iap.lead.role,name:crm_iap_lead.crm_iap_lead_role_5 msgid "education" msgstr "Formazione" #. module: crm_iap_lead #: model_terms:ir.ui.view,arch_db:crm_iap_lead.crm_iap_lead_mining_request_form msgid "employees" msgstr "dipendenti" #. module: crm_iap_lead #: model:crm.iap.lead.role,name:crm_iap_lead.crm_iap_lead_role_6 msgid "engineering" msgstr "ingegneria" #. module: crm_iap_lead #: model:crm.iap.lead.seniority,name:crm_iap_lead.crm_iap_lead_seniority_2 msgid "executive" msgstr "executive" #. module: crm_iap_lead #: model:crm.iap.lead.role,name:crm_iap_lead.crm_iap_lead_role_7 msgid "finance" msgstr
{ "pile_set_name": [ "Github", "Github" ] }
11,286,023
The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points ThreadSon Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your
{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
47,206,174
The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points ThreadSon Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your Points Thread Son Of The Very New Maximum Multiply Your
{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
47,206,198
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
47,206,222
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
47,206,246
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
47,206,574
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
47,206,598
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
47,206,622
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
47,206,646
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
47,207,022
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
47,207,046
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
47,207,070
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
47,207,286
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
47,207,310
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
47,206,116
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
47,206,140
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
47,206,280
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47,206,304
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47,206,328
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47,206,434
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47,206,458
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47,206,468
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47,206,492
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47,206,516
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
47,206,540
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{ "pile_set_name": [ "Pile-CC", "Pile-CC" ] }
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