Ви не можете вибрати більше 25 тем Теми мають розпочинатися з літери або цифри, можуть містити дефіси (-) і не повинні перевищувати 35 символів.

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700701702703704705706707708709710711712713714715716717718719720721722723724725726727728729730731732733734735736737738739740741742743744745746747748749750751752753754755756757758759760761762763764765766767768769770771772773774775776777778779780781782783784785786787788789790791792793794795796797798799800801802803804805806807808809810811812813814815816817818819820821822823824825826827828829830831832833834835836837838839840841842843844845846847848849850851852853854855856857858859
  1. {
  2. "id": 0,
  3. "title": "WebSearch Assistant",
  4. "description": "A chat assistant template that integrates information extracted from a knowledge base and web searches to respond to queries. Let's begin by setting up your knowledge base in 'Retrieval'!",
  5. "canvas_type": "chatbot",
  6. "dsl": {
  7. "answer": [],
  8. "components": {
  9. "begin": {
  10. "obj": {
  11. "component_name": "Begin",
  12. "params": {}
  13. },
  14. "downstream": [
  15. "Answer:PoorMapsCover"
  16. ],
  17. "upstream": []
  18. },
  19. "Answer:PoorMapsCover": {
  20. "obj": {
  21. "component_name": "Answer",
  22. "params": {}
  23. },
  24. "downstream": [
  25. "RewriteQuestion:OrangeBottlesSwim"
  26. ],
  27. "upstream": [
  28. "begin",
  29. "Generate:GreatCarrotsDecide"
  30. ]
  31. },
  32. "Wikipedia:WittyRiceLearn": {
  33. "obj": {
  34. "component_name": "Wikipedia",
  35. "params": {
  36. "language": "en",
  37. "top_n": 2
  38. }
  39. },
  40. "downstream": [
  41. "Generate:GreatCarrotsDecide"
  42. ],
  43. "upstream": [
  44. "KeywordExtract:BeigeTipsStand"
  45. ]
  46. },
  47. "Baidu:OliveAreasCall": {
  48. "obj": {
  49. "component_name": "Baidu",
  50. "params": {
  51. "top_n": 2
  52. }
  53. },
  54. "downstream": [
  55. "Generate:GreatCarrotsDecide"
  56. ],
  57. "upstream": [
  58. "KeywordExtract:BeigeTipsStand"
  59. ]
  60. },
  61. "DuckDuckGo:SoftButtonsRefuse": {
  62. "obj": {
  63. "component_name": "DuckDuckGo",
  64. "params": {
  65. "channel": "text",
  66. "top_n": 2
  67. }
  68. },
  69. "downstream": [
  70. "Generate:GreatCarrotsDecide"
  71. ],
  72. "upstream": [
  73. "KeywordExtract:BeigeTipsStand"
  74. ]
  75. },
  76. "RewriteQuestion:OrangeBottlesSwim": {
  77. "obj": {
  78. "component_name": "RewriteQuestion",
  79. "params": {
  80. "frequencyPenaltyEnabled": true,
  81. "frequency_penalty": 0.7,
  82. "llm_id": "deepseek-chat@DeepSeek",
  83. "loop": 1,
  84. "maxTokensEnabled": true,
  85. "max_tokens": 256,
  86. "parameter": "Precise",
  87. "presencePenaltyEnabled": true,
  88. "presence_penalty": 0.4,
  89. "temperature": 0.1,
  90. "temperatureEnabled": true,
  91. "topPEnabled": true,
  92. "top_p": 0.3
  93. }
  94. },
  95. "downstream": [
  96. "KeywordExtract:BeigeTipsStand",
  97. "Retrieval:SilentCamelsStick"
  98. ],
  99. "upstream": [
  100. "Answer:PoorMapsCover"
  101. ]
  102. },
  103. "KeywordExtract:BeigeTipsStand": {
  104. "obj": {
  105. "component_name": "KeywordExtract",
  106. "params": {
  107. "frequencyPenaltyEnabled": true,
  108. "frequency_penalty": 0.7,
  109. "llm_id": "deepseek-chat@DeepSeek",
  110. "maxTokensEnabled": true,
  111. "max_tokens": 256,
  112. "parameter": "Precise",
  113. "presencePenaltyEnabled": true,
  114. "presence_penalty": 0.4,
  115. "temperature": 0.1,
  116. "temperatureEnabled": true,
  117. "topPEnabled": true,
  118. "top_n": 2,
  119. "top_p": 0.3
  120. }
  121. },
  122. "downstream": [
  123. "Baidu:OliveAreasCall",
  124. "DuckDuckGo:SoftButtonsRefuse",
  125. "Wikipedia:WittyRiceLearn"
  126. ],
  127. "upstream": [
  128. "RewriteQuestion:OrangeBottlesSwim"
  129. ]
  130. },
  131. "Retrieval:SilentCamelsStick": {
  132. "obj": {
  133. "component_name": "Retrieval",
  134. "params": {
  135. "empty_response": "The answer you want was not found in the knowledge base!",
  136. "kb_ids": [],
  137. "keywords_similarity_weight": 0.3,
  138. "similarity_threshold": 0.2,
  139. "top_n": 8
  140. }
  141. },
  142. "downstream": [
  143. "Generate:GreatCarrotsDecide"
  144. ],
  145. "upstream": [
  146. "RewriteQuestion:OrangeBottlesSwim"
  147. ]
  148. },
  149. "Generate:GreatCarrotsDecide": {
  150. "obj": {
  151. "component_name": "Generate",
  152. "params": {
  153. "cite": true,
  154. "frequency_penalty": 0.7,
  155. "llm_id": "deepseek-chat@DeepSeek",
  156. "max_tokens": 256,
  157. "message_history_window_size": 12,
  158. "parameters": [
  159. {
  160. "component_id": "Retrieval:SilentCamelsStick",
  161. "id": "2a7a72d0-29da-4cfc-8745-57d5ee2251c3",
  162. "key": "kb_input"
  163. },
  164. {
  165. "component_id": "DuckDuckGo:SoftButtonsRefuse",
  166. "id": "5f7239b7-aa50-431d-a8b7-871cf355b3ca",
  167. "key": "duckduckgo"
  168. },
  169. {
  170. "component_id": "Wikipedia:WittyRiceLearn",
  171. "id": "e6f8b466-d857-482b-b068-e5dcc593ee79",
  172. "key": "wikipedia"
  173. },
  174. {
  175. "component_id": "Baidu:OliveAreasCall",
  176. "id": "d0e07768-bdad-4eee-beff-93a68ec83dd2",
  177. "key": "baidu"
  178. }
  179. ],
  180. "presence_penalty": 0.4,
  181. "prompt": "Role: You are an intelligent assistant. \nTask: Chat with user. Answer the question based on the provided content from: Knowledge Base, Wikipedia, Duckduckgo, Baidu.\nRequirements:\n - Answer should be in markdown format.\n - Answer should include all sources(Knowledge Base, Wikipedia, Duckduckgo, Baidu) as long as they are relevant, and label the sources of the cited content separately.\n - Attach URL links to the content which is quoted from Wikipedia, DuckDuckGo or Baidu.\n - Do not make thing up when there's no relevant information to user's question. \n\n## Knowledge base content\n {kb_input}\n\n\n## Wikipedia content\n{wikipedia}\n\n\n## Duckduckgo content\n{duckduckgo}\n\n\n## Baidu content\n{baidu}",
  182. "temperature": 0.1,
  183. "top_p": 0.3
  184. }
  185. },
  186. "downstream": [
  187. "Answer:PoorMapsCover"
  188. ],
  189. "upstream": [
  190. "Wikipedia:WittyRiceLearn",
  191. "Baidu:OliveAreasCall",
  192. "DuckDuckGo:SoftButtonsRefuse",
  193. "Retrieval:SilentCamelsStick"
  194. ]
  195. }
  196. },
  197. "embed_id": "",
  198. "graph": {
  199. "nodes": [
  200. {
  201. "data": {
  202. "label": "Begin",
  203. "name": "opening"
  204. },
  205. "dragging": false,
  206. "height": 44,
  207. "id": "begin",
  208. "position": {
  209. "x": -1379.627471412851,
  210. "y": -135.63593055637585
  211. },
  212. "positionAbsolute": {
  213. "x": -1379.627471412851,
  214. "y": -135.63593055637585
  215. },
  216. "selected": false,
  217. "sourcePosition": "left",
  218. "targetPosition": "right",
  219. "type": "beginNode",
  220. "width": 100
  221. },
  222. {
  223. "data": {
  224. "form": {},
  225. "label": "Answer",
  226. "name": "interface"
  227. },
  228. "dragging": false,
  229. "height": 44,
  230. "id": "Answer:PoorMapsCover",
  231. "position": {
  232. "x": -1172.8677760724227,
  233. "y": -134.7856818291531
  234. },
  235. "positionAbsolute": {
  236. "x": -1172.8677760724227,
  237. "y": -134.7856818291531
  238. },
  239. "selected": false,
  240. "sourcePosition": "right",
  241. "targetPosition": "left",
  242. "type": "logicNode",
  243. "width": 200
  244. },
  245. {
  246. "data": {
  247. "form": {
  248. "language": "en",
  249. "top_n": 2
  250. },
  251. "label": "Wikipedia",
  252. "name": "Wikipedia"
  253. },
  254. "dragging": false,
  255. "height": 44,
  256. "id": "Wikipedia:WittyRiceLearn",
  257. "position": {
  258. "x": -406.9217458441634,
  259. "y": -54.01023495053805
  260. },
  261. "positionAbsolute": {
  262. "x": -406.9217458441634,
  263. "y": -54.01023495053805
  264. },
  265. "selected": false,
  266. "sourcePosition": "right",
  267. "targetPosition": "left",
  268. "type": "ragNode",
  269. "width": 200
  270. },
  271. {
  272. "data": {
  273. "form": {
  274. "top_n": 2
  275. },
  276. "label": "Baidu",
  277. "name": "Baidu"
  278. },
  279. "dragging": false,
  280. "height": 44,
  281. "id": "Baidu:OliveAreasCall",
  282. "position": {
  283. "x": -334.8102520664264,
  284. "y": -142.4206828864257
  285. },
  286. "positionAbsolute": {
  287. "x": -334.8102520664264,
  288. "y": -142.4206828864257
  289. },
  290. "selected": false,
  291. "sourcePosition": "right",
  292. "targetPosition": "left",
  293. "type": "ragNode",
  294. "width": 200
  295. },
  296. {
  297. "data": {
  298. "form": {
  299. "channel": "text",
  300. "top_n": 2
  301. },
  302. "label": "DuckDuckGo",
  303. "name": "DuckDuckGo"
  304. },
  305. "dragging": false,
  306. "height": 44,
  307. "id": "DuckDuckGo:SoftButtonsRefuse",
  308. "position": {
  309. "x": -241.42135935727495,
  310. "y": -227.69429585279033
  311. },
  312. "positionAbsolute": {
  313. "x": -241.42135935727495,
  314. "y": -227.69429585279033
  315. },
  316. "selected": false,
  317. "sourcePosition": "right",
  318. "targetPosition": "left",
  319. "type": "ragNode",
  320. "width": 200
  321. },
  322. {
  323. "data": {
  324. "form": {
  325. "frequencyPenaltyEnabled": true,
  326. "frequency_penalty": 0.7,
  327. "llm_id": "deepseek-chat@DeepSeek",
  328. "loop": 1,
  329. "maxTokensEnabled": true,
  330. "max_tokens": 256,
  331. "parameter": "Precise",
  332. "presencePenaltyEnabled": true,
  333. "presence_penalty": 0.4,
  334. "temperature": 0.1,
  335. "temperatureEnabled": true,
  336. "topPEnabled": true,
  337. "top_p": 0.3
  338. },
  339. "label": "RewriteQuestion",
  340. "name": "Refine Question"
  341. },
  342. "dragging": false,
  343. "height": 86,
  344. "id": "RewriteQuestion:OrangeBottlesSwim",
  345. "position": {
  346. "x": -926.3250837910092,
  347. "y": -156.41315582042822
  348. },
  349. "positionAbsolute": {
  350. "x": -926.3250837910092,
  351. "y": -156.41315582042822
  352. },
  353. "selected": false,
  354. "sourcePosition": "right",
  355. "targetPosition": "left",
  356. "type": "rewriteNode",
  357. "width": 200
  358. },
  359. {
  360. "data": {
  361. "form": {
  362. "frequencyPenaltyEnabled": true,
  363. "frequency_penalty": 0.7,
  364. "llm_id": "deepseek-chat@DeepSeek",
  365. "maxTokensEnabled": true,
  366. "max_tokens": 256,
  367. "parameter": "Precise",
  368. "presencePenaltyEnabled": true,
  369. "presence_penalty": 0.4,
  370. "temperature": 0.1,
  371. "temperatureEnabled": true,
  372. "topPEnabled": true,
  373. "top_n": 2,
  374. "top_p": 0.3
  375. },
  376. "label": "KeywordExtract",
  377. "name": "Get keywords"
  378. },
  379. "dragging": false,
  380. "height": 86,
  381. "id": "KeywordExtract:BeigeTipsStand",
  382. "position": {
  383. "x": -643.95039088561,
  384. "y": -160.37167955274685
  385. },
  386. "positionAbsolute": {
  387. "x": -643.95039088561,
  388. "y": -160.37167955274685
  389. },
  390. "selected": false,
  391. "sourcePosition": "right",
  392. "targetPosition": "left",
  393. "type": "keywordNode",
  394. "width": 200
  395. },
  396. {
  397. "data": {
  398. "form": {
  399. "empty_response": "The answer you want was not found in the knowledge base!",
  400. "kb_ids": [],
  401. "keywords_similarity_weight": 0.3,
  402. "similarity_threshold": 0.2,
  403. "top_n": 8
  404. },
  405. "label": "Retrieval",
  406. "name": "Search KB"
  407. },
  408. "dragging": false,
  409. "height": 46,
  410. "id": "Retrieval:SilentCamelsStick",
  411. "position": {
  412. "x": -641.3113750640641,
  413. "y": -4.669746081545384
  414. },
  415. "positionAbsolute": {
  416. "x": -641.3113750640641,
  417. "y": -4.669746081545384
  418. },
  419. "selected": true,
  420. "sourcePosition": "right",
  421. "targetPosition": "left",
  422. "type": "retrievalNode",
  423. "width": 200
  424. },
  425. {
  426. "data": {
  427. "form": {
  428. "cite": true,
  429. "frequencyPenaltyEnabled": true,
  430. "frequency_penalty": 0.7,
  431. "llm_id": "deepseek-chat@DeepSeek",
  432. "maxTokensEnabled": true,
  433. "max_tokens": 256,
  434. "message_history_window_size": 12,
  435. "parameter": "Precise",
  436. "parameters": [
  437. {
  438. "component_id": "Retrieval:SilentCamelsStick",
  439. "id": "2a7a72d0-29da-4cfc-8745-57d5ee2251c3",
  440. "key": "kb_input"
  441. },
  442. {
  443. "component_id": "DuckDuckGo:SoftButtonsRefuse",
  444. "id": "5f7239b7-aa50-431d-a8b7-871cf355b3ca",
  445. "key": "duckduckgo"
  446. },
  447. {
  448. "component_id": "Wikipedia:WittyRiceLearn",
  449. "id": "e6f8b466-d857-482b-b068-e5dcc593ee79",
  450. "key": "wikipedia"
  451. },
  452. {
  453. "component_id": "Baidu:OliveAreasCall",
  454. "id": "d0e07768-bdad-4eee-beff-93a68ec83dd2",
  455. "key": "baidu"
  456. }
  457. ],
  458. "presencePenaltyEnabled": true,
  459. "presence_penalty": 0.4,
  460. "prompt": "Role: You are an intelligent assistant. \nTask: Chat with user. Answer the question based on the provided content from: Knowledge Base, Wikipedia, Duckduckgo, Baidu.\nRequirements:\n - Answer should be in markdown format.\n - Answer should include all sources(Knowledge Base, Wikipedia, Duckduckgo, Baidu) as long as they are relevant, and label the sources of the cited content separately.\n - Attach URL links to the content which is quoted from Wikipedia, DuckDuckGo or Baidu.\n - Do not make thing up when there's no relevant information to user's question. \n\n## Knowledge base content\n {kb_input}\n\n\n## Wikipedia content\n{wikipedia}\n\n\n## Duckduckgo content\n{duckduckgo}\n\n\n## Baidu content\n{baidu}",
  461. "temperature": 0.1,
  462. "temperatureEnabled": true,
  463. "topPEnabled": true,
  464. "top_p": 0.3
  465. },
  466. "label": "Generate",
  467. "name": "LLM"
  468. },
  469. "dragging": false,
  470. "height": 254,
  471. "id": "Generate:GreatCarrotsDecide",
  472. "position": {
  473. "x": -633.3943275994267,
  474. "y": 141.79563201424583
  475. },
  476. "positionAbsolute": {
  477. "x": -633.3943275994267,
  478. "y": 141.79563201424583
  479. },
  480. "selected": false,
  481. "sourcePosition": "right",
  482. "targetPosition": "left",
  483. "type": "generateNode",
  484. "width": 200
  485. },
  486. {
  487. "data": {
  488. "form": {
  489. "text": "The large model answers the user's query based on the content retrieved from different search engines and knowledge bases, returning an answer to the user's question."
  490. },
  491. "label": "Note",
  492. "name": "N: LLM"
  493. },
  494. "dragHandle": ".note-drag-handle",
  495. "dragging": false,
  496. "height": 144,
  497. "id": "Note:CuteSchoolsWear",
  498. "position": {
  499. "x": -628.5256394373041,
  500. "y": 412.60472782016245
  501. },
  502. "positionAbsolute": {
  503. "x": -628.5256394373041,
  504. "y": 412.60472782016245
  505. },
  506. "resizing": false,
  507. "selected": false,
  508. "sourcePosition": "right",
  509. "style": {
  510. "height": 144,
  511. "width": 443
  512. },
  513. "targetPosition": "left",
  514. "type": "noteNode",
  515. "width": 443
  516. },
  517. {
  518. "data": {
  519. "form": {
  520. "text": "Complete questions by conversation history.\nUser: What's RAGFlow?\nAssistant: RAGFlow is xxx.\nUser: How to deloy it?\n\nRefine it: How to deploy RAGFlow?"
  521. },
  522. "label": "Note",
  523. "name": "N: Refine question"
  524. },
  525. "dragging": false,
  526. "height": 209,
  527. "id": "Note:CuteRavensBehave",
  528. "position": {
  529. "x": -921.2271023677847,
  530. "y": -381.3182401779728
  531. },
  532. "positionAbsolute": {
  533. "x": -921.2271023677847,
  534. "y": -381.3182401779728
  535. },
  536. "resizing": false,
  537. "selected": false,
  538. "sourcePosition": "right",
  539. "style": {
  540. "height": 209,
  541. "width": 266
  542. },
  543. "targetPosition": "left",
  544. "type": "noteNode",
  545. "width": 266,
  546. "dragHandle": ".note-drag-handle"
  547. },
  548. {
  549. "data": {
  550. "form": {
  551. "text": "Based on the user's question, searches the knowledge base and returns the retrieved content."
  552. },
  553. "label": "Note",
  554. "name": "N: Search KB"
  555. },
  556. "dragging": false,
  557. "height": 128,
  558. "id": "Note:RudeRulesLeave",
  559. "position": {
  560. "x": -917.896611693436,
  561. "y": -3.570404025438563
  562. },
  563. "positionAbsolute": {
  564. "x": -917.896611693436,
  565. "y": -3.570404025438563
  566. },
  567. "selected": false,
  568. "sourcePosition": "right",
  569. "targetPosition": "left",
  570. "type": "noteNode",
  571. "width": 269,
  572. "dragHandle": ".note-drag-handle"
  573. },
  574. {
  575. "data": {
  576. "form": {
  577. "text": "Based on the keywords, searches on Wikipedia and returns the found content."
  578. },
  579. "label": "Note",
  580. "name": "N: Wikipedia"
  581. },
  582. "dragging": false,
  583. "height": 128,
  584. "id": "Note:DryActorsTry",
  585. "position": {
  586. "x": 49.68127281474659,
  587. "y": -16.899164744846445
  588. },
  589. "positionAbsolute": {
  590. "x": 49.68127281474659,
  591. "y": -16.899164744846445
  592. },
  593. "resizing": false,
  594. "selected": false,
  595. "sourcePosition": "right",
  596. "style": {
  597. "height": 128,
  598. "width": 281
  599. },
  600. "targetPosition": "left",
  601. "type": "noteNode",
  602. "width": 281,
  603. "dragHandle": ".note-drag-handle"
  604. },
  605. {
  606. "data": {
  607. "form": {
  608. "text": "Based on the keywords, searches on Baidu and returns the found content."
  609. },
  610. "label": "Note",
  611. "name": "N :Baidu"
  612. },
  613. "dragging": false,
  614. "height": 128,
  615. "id": "Note:HonestShirtsNail",
  616. "position": {
  617. "x": 43.964372149616565,
  618. "y": -151.26282396084338
  619. },
  620. "positionAbsolute": {
  621. "x": 43.964372149616565,
  622. "y": -151.26282396084338
  623. },
  624. "selected": false,
  625. "sourcePosition": "right",
  626. "targetPosition": "left",
  627. "type": "noteNode",
  628. "width": 269,
  629. "dragHandle": ".note-drag-handle"
  630. },
  631. {
  632. "data": {
  633. "form": {
  634. "text": "Based on the keywords, searches on DuckDuckGo and returns the found content."
  635. },
  636. "label": "Note",
  637. "name": "N: DuckduckGo"
  638. },
  639. "dragging": false,
  640. "height": 145,
  641. "id": "Note:OddBreadsFix",
  642. "position": {
  643. "x": -237.54626926201882,
  644. "y": -381.56637252684175
  645. },
  646. "positionAbsolute": {
  647. "x": -237.54626926201882,
  648. "y": -381.56637252684175
  649. },
  650. "resizing": false,
  651. "selected": false,
  652. "sourcePosition": "right",
  653. "style": {
  654. "height": 145,
  655. "width": 201
  656. },
  657. "targetPosition": "left",
  658. "type": "noteNode",
  659. "width": 201,
  660. "dragHandle": ".note-drag-handle"
  661. },
  662. {
  663. "data": {
  664. "form": {
  665. "text": "The large model generates keywords based on the user's question for better retrieval."
  666. },
  667. "label": "Note",
  668. "name": "N: Get keywords"
  669. },
  670. "dragging": false,
  671. "height": 162,
  672. "id": "Note:GentleWorldsDesign",
  673. "position": {
  674. "x": -646.3211655055846,
  675. "y": -334.10598887579624
  676. },
  677. "positionAbsolute": {
  678. "x": -646.3211655055846,
  679. "y": -334.10598887579624
  680. },
  681. "resizing": false,
  682. "selected": false,
  683. "sourcePosition": "right",
  684. "style": {
  685. "height": 162,
  686. "width": 201
  687. },
  688. "targetPosition": "left",
  689. "type": "noteNode",
  690. "width": 201,
  691. "dragHandle": ".note-drag-handle"
  692. }
  693. ],
  694. "edges": [
  695. {
  696. "id": "reactflow__edge-begin-Answer:PoorMapsCoverc",
  697. "markerEnd": "logo",
  698. "source": "begin",
  699. "sourceHandle": null,
  700. "style": {
  701. "stroke": "rgb(202 197 245)",
  702. "strokeWidth": 2
  703. },
  704. "target": "Answer:PoorMapsCover",
  705. "targetHandle": "c",
  706. "type": "buttonEdge"
  707. },
  708. {
  709. "id": "reactflow__edge-Answer:PoorMapsCoverb-RewriteQuestion:OrangeBottlesSwimc",
  710. "markerEnd": "logo",
  711. "source": "Answer:PoorMapsCover",
  712. "sourceHandle": "b",
  713. "style": {
  714. "stroke": "rgb(202 197 245)",
  715. "strokeWidth": 2
  716. },
  717. "target": "RewriteQuestion:OrangeBottlesSwim",
  718. "targetHandle": "c",
  719. "type": "buttonEdge"
  720. },
  721. {
  722. "id": "reactflow__edge-RewriteQuestion:OrangeBottlesSwimb-KeywordExtract:BeigeTipsStandc",
  723. "markerEnd": "logo",
  724. "source": "RewriteQuestion:OrangeBottlesSwim",
  725. "sourceHandle": "b",
  726. "style": {
  727. "stroke": "rgb(202 197 245)",
  728. "strokeWidth": 2
  729. },
  730. "target": "KeywordExtract:BeigeTipsStand",
  731. "targetHandle": "c",
  732. "type": "buttonEdge"
  733. },
  734. {
  735. "id": "reactflow__edge-KeywordExtract:BeigeTipsStandb-Baidu:OliveAreasCallc",
  736. "markerEnd": "logo",
  737. "source": "KeywordExtract:BeigeTipsStand",
  738. "sourceHandle": "b",
  739. "style": {
  740. "stroke": "rgb(202 197 245)",
  741. "strokeWidth": 2
  742. },
  743. "target": "Baidu:OliveAreasCall",
  744. "targetHandle": "c",
  745. "type": "buttonEdge"
  746. },
  747. {
  748. "id": "reactflow__edge-KeywordExtract:BeigeTipsStandb-DuckDuckGo:SoftButtonsRefusec",
  749. "markerEnd": "logo",
  750. "source": "KeywordExtract:BeigeTipsStand",
  751. "sourceHandle": "b",
  752. "style": {
  753. "stroke": "rgb(202 197 245)",
  754. "strokeWidth": 2
  755. },
  756. "target": "DuckDuckGo:SoftButtonsRefuse",
  757. "targetHandle": "c",
  758. "type": "buttonEdge"
  759. },
  760. {
  761. "id": "reactflow__edge-KeywordExtract:BeigeTipsStandb-Wikipedia:WittyRiceLearnc",
  762. "markerEnd": "logo",
  763. "source": "KeywordExtract:BeigeTipsStand",
  764. "sourceHandle": "b",
  765. "style": {
  766. "stroke": "rgb(202 197 245)",
  767. "strokeWidth": 2
  768. },
  769. "target": "Wikipedia:WittyRiceLearn",
  770. "targetHandle": "c",
  771. "type": "buttonEdge"
  772. },
  773. {
  774. "id": "reactflow__edge-RewriteQuestion:OrangeBottlesSwimb-Retrieval:SilentCamelsStickc",
  775. "markerEnd": "logo",
  776. "source": "RewriteQuestion:OrangeBottlesSwim",
  777. "sourceHandle": "b",
  778. "style": {
  779. "stroke": "rgb(202 197 245)",
  780. "strokeWidth": 2
  781. },
  782. "target": "Retrieval:SilentCamelsStick",
  783. "targetHandle": "c",
  784. "type": "buttonEdge"
  785. },
  786. {
  787. "id": "reactflow__edge-Wikipedia:WittyRiceLearnb-Generate:GreatCarrotsDecideb",
  788. "markerEnd": "logo",
  789. "source": "Wikipedia:WittyRiceLearn",
  790. "sourceHandle": "b",
  791. "style": {
  792. "stroke": "rgb(202 197 245)",
  793. "strokeWidth": 2
  794. },
  795. "target": "Generate:GreatCarrotsDecide",
  796. "targetHandle": "b",
  797. "type": "buttonEdge"
  798. },
  799. {
  800. "id": "reactflow__edge-Baidu:OliveAreasCallb-Generate:GreatCarrotsDecideb",
  801. "markerEnd": "logo",
  802. "source": "Baidu:OliveAreasCall",
  803. "sourceHandle": "b",
  804. "style": {
  805. "stroke": "rgb(202 197 245)",
  806. "strokeWidth": 2
  807. },
  808. "target": "Generate:GreatCarrotsDecide",
  809. "targetHandle": "b",
  810. "type": "buttonEdge"
  811. },
  812. {
  813. "id": "reactflow__edge-DuckDuckGo:SoftButtonsRefuseb-Generate:GreatCarrotsDecideb",
  814. "markerEnd": "logo",
  815. "source": "DuckDuckGo:SoftButtonsRefuse",
  816. "sourceHandle": "b",
  817. "style": {
  818. "stroke": "rgb(202 197 245)",
  819. "strokeWidth": 2
  820. },
  821. "target": "Generate:GreatCarrotsDecide",
  822. "targetHandle": "b",
  823. "type": "buttonEdge"
  824. },
  825. {
  826. "id": "reactflow__edge-Retrieval:SilentCamelsStickb-Generate:GreatCarrotsDecideb",
  827. "markerEnd": "logo",
  828. "source": "Retrieval:SilentCamelsStick",
  829. "sourceHandle": "b",
  830. "style": {
  831. "stroke": "rgb(202 197 245)",
  832. "strokeWidth": 2
  833. },
  834. "target": "Generate:GreatCarrotsDecide",
  835. "targetHandle": "b",
  836. "type": "buttonEdge"
  837. },
  838. {
  839. "id": "reactflow__edge-Generate:GreatCarrotsDecidec-Answer:PoorMapsCoverc",
  840. "markerEnd": "logo",
  841. "source": "Generate:GreatCarrotsDecide",
  842. "sourceHandle": "c",
  843. "style": {
  844. "stroke": "rgb(202 197 245)",
  845. "strokeWidth": 2
  846. },
  847. "target": "Answer:PoorMapsCover",
  848. "targetHandle": "c",
  849. "type": "buttonEdge"
  850. }
  851. ]
  852. },
  853. "history": [],
  854. "messages": [],
  855. "path": [],
  856. "reference": []
  857. },
  858. "avatar": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAYEAAAGDCAYAAADNkawvAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAFiUAABYlAUlSJPAAAGlsSURBVHhe7Z1nmBTV9vVflaBgIqgYMJElM+Scc5acc845JwkKiAnMICqCJAOIimK8hosoAiIgOQw5K3j9f9pvrdMUNj17unYNM91d1fvD77n3kTlnVVVX7XXiPv9vxYoVpCiKosQnxgT++usv+vPPP12Dcn///Tf973//cw3Kqa4M1ZWjunJUV46fdY0JoMCFCxdcg3Ko5P/+7/9cg3KqK0N15aiuHNWV42ddNQEXqK4c1ZWjunJUV45UV03ABaorR3XlqK4c1ZUj1VUTcIHqylFdOaorR3XlSHXVBFygunJUV47qylFdOVJdNQEXqK4c1ZWjunJUV45UV03ABaorR3XlqK4c1ZUj1VUTcIHqylFdOaorR3XlSHXVBFygunJUV47qylFdOVJdNQEXqK4c1ZWjunJUV45UV03ABaorR3XlqK4c1ZUj1VUTcIHqylFdOaorR3XlSHXVBFygunJUV47qylFdOVJdYwJ+zY7HobpyVFeO6spRXTmR0DUmoA9GhurKUV05qitHdeVIdY0JoADXTXAC5VAJ1xVxAuVUV4bqylFdOaorx8+6agIuUF05qitHdeWorhyprpqAC1RXjurKUV05qitHqqsm4ALVlaO6clRXjurKkeqqCbhAdeWorhzVlaO6cqS6agIuUF05qitHdeWorhyprpqAC1RXjurKUV05qitHqqsm4ALVlaO6clRXjurKkeqqCbhAdeWorhzVlaO6cqS6agIuUF05qitHdeWorhyprpqAC1RXjurKUV05qitHqqsm4ALVlaO6clRXjurKkeqqCbhAdeWorhzVlaO6cqS6xgT8mh2PQ3XlqK4c1ZWjunIioWtMQB+MDNWVo7pyVFeO6sqR6hoTQAGum+AEyqESriviBMqprgzVlaO6clRXjp911QRcoLpyVFeO6spRXTlSXTUBF6iuHNWVo7pyVFeOVFdNwAWqK0d15aiuHNWVI9VVE3CB6spRXTmqK0d15Uh11QRcoLpyVFeO6spRXTlSXTUBF6iuHNWVo7pyVFeOVFdNwAWqK0d15aiuHNWVI9VVE3CB6spRXTmqK0d15Uh11QRcoLpyVFeO6spRXTlSXTUBF6iuHNWVo7pyVFeOVFdNwAWqK0d15aiuHNWVI9VVE3CB6spRXTmqK0d15Uh1jQn4NTseh+rKUV05qitHdeVEQteYgD4YGaorR3XlqK4c1ZUj1TUmgAJcN8EJlEMlXFfECZRTXRmqK8fWvXz5b/rT+gDOX7hIZ89foFNnztKJU2fCcvzkaTqceIwOHk40HE48SkePn6DjJ07SyVOn6YxVB6cJ4vU5c/U6obpyIqGrJuAC1ZWTVrrnz5+nU6dP0zErMCNQ7zt4iHbvO0C79u6n3//YQ9t37aHfLL7+8Wd679Ov6LV3P6CnXn6LRj35AvWfNMeRPuOfvMIsGjb9GZr+wkJ68e2V9O6a9fTZtz/Slu07aduOP4wWNKGNazhy9DidOXuOLl2+zN5TOPT3laO6cqS6agIuUF05qaF75uxZ0wo/dCSR9uw/SDt276Vftv1Oqz/5wgrsb5pg3aLfWKrevj8Va9CBHqzYhG4rXJ3+36Nl04wbcpWjWwtVowcrNKFiDTsa7Zb9x9KAyXNo3utL6eOvvqc/9h2k/ZZBJR63ehCnz5jeyGWra87dK4jX35er1wnVlSPVVRNwgerKcaP7zz//0F+XLtGZc+fpqBX09x9KpK1Wa/uTr76j5994lwZNmUv1ugyhPNVbUMb8ldjgHEukz1uR8tdqTY17jaARs56nV5e9T19ZPZPd+w/RwSPHzD3iXnHPuH+//76hqK6cSOiqCbhAdeWE00XQR+sY4/CHEo/Rjj37ae0X/6Hp8xdRuyGTrFZ9xzRv0Uca9CDuKFqTSjbpQu2HTqaZLy6mdV9+T3sOHLaM4aiZizhx8pQZ7uKeZ3LoeyVHdXnUBFygunKCdRH0MUl78vRZK+gfp20795ix+n4TZ1OFlr3o9iI12MDpd2AMdxarRZVb96H+k2bTq0vfo59+/Y127dlnJqUx98E922Di+b1yi+ryqAm4QHXlXLx4kc6cO2fGxdHSX/XJFzR0+rNUtnkPurlAZTYoxjswhUyPVaVyj/cwk9LL1643k9B7DxyiY8dPsL2EeHuvVFeOVFdNwAWqG56zZ8+ZJZVYMbNpy3Z6ZuFSathjuNXarckGPSU8N+YuT9lK1KFG1jPEs/zp121mgvzYiRN0zjJYPPN4eK+CUV05Ul01AReoblIQ+I8cPUa7rNb+Nz/+bJZUVmvXz7RoucCmpAz0EjBPUrfLYJr9ylv0w89bjNkeP3mKLqdgWSrQ91mOn3XVBFygugHswL9zzz7a8J//0oS5L1H5Fj1ieuXODbkr0I15K9FN+ZyGosqZv7sxb2W6IU8F+n9W8OX/LrrAZGG2Mxe8QRu3/EaHsU/h3Hn6+2/5b63vsxw/66oJuCCedTEeffLUKTMc8dUPP9GYp+ZTycZd2AAVfaxAnqcipStQjTIUrk03F29Id1bpTPc0GEh31x/A/P2/IPhnq9mT7mk4mLJU7UyZEpqYOlAX6uTKRJuM+StTpdZ96IkXFtFPW36nY1bvwF5+Go54fp/d4mddNQEXxKMuJngxzo+duEs//IQa9xxBtxSowgajaGMC/2M1TNDPVqsXPdJxJhUZvZTKztpAZZ/8gsrM/JweG/w6W9YmvVU+T89nzN/bZVDHw51mWHX2tOqub2lUj0lDCKw2qkkdh00xm9aw/BZLcbE6K7nfN97eZ9VNipqAC+JJF7l3kEvn562/myGHEo06myDDBZ+oYl3TTfmqUMai9Shrje6Uu/s8Spiy9moQD8aYwCCJCcxjy5d9coOpO1e3OUYrQ5E6RpurJ9pkyFeJKrbqTQveXkV/WL035E4KfQ/i6X0GqstjTMCv2fE4VDd58HcXrJY/WpDf/rTZrOPPUaYBG2SuB4zPp8tfldIXrJnyMfcrwf/mEg3p/sfHULEx7zJB+1rkJvBvTyA5ysz6nIqNXU73NR9FGQrDDK5j2euVe8EzMfMQ3N+kkJvylKeHKzejMbMXmLkD7FbGng379/bz+xyK6vIYE9AHI8OvuhjyQZZM5OZZse4zatJrZCoP+QQmWzGMghb7HVU60P0txprhmhvdBk8TMCvTzcUb0H3NRlKxcavYIM1x/T2BpBgzGLeC7m063Mwd3JTXvRlgHiJ7rV6WmY2mO6t2Nj0MM+RkPTM8O65MSshUsCq1HzKJ1nz+jdl7cNrqHfjxfU4O1eUxJoACXDfBCZRDJVxXxAmUU10ZaaWLyV4kaMOGpJffWUVlmnVjg0dKuCFXedO6RWsfY/R31elLubrOsQLmSiox4T1jAly5cCAo3lysgRVwR5hWOBeUwxEwgYVs3TbGBHo49wRCQd1FR79LORoNoQyFal8J4LwGB4wtR6OhlDD5Qyo+8T3K1W0uZa/Tj24p0cg8QzxLPFOurFuwiqtq2770xso1JmXFxT//Yt+dcOh3JCfWddUEXOAXXTv4b/19F81/c4XJ1cMFC9dcaaUjCN5apoUVrEdS/v6vUKknPg4EylkbrOC9gu6uF36FTiiYi0Ar+666/ajIyHeSBGApaWkCNtAoPOJtK4D3MZPUboa7MNmctUYPKj7eMuQrk9mlZ6y3nuHLptdza9kWlL5QLfOM3dSbHIF5g1709vsfmyHACxf/ZN8hDv2O5MS6rpqAC7yui+CPJGVo+T+7cCkVqdeeDQ6usIIRWr1ord6S0NgMixQcsihpcJyFlvIyurNKJ76eZEDdmUo2pdyCcXon5MNB169VevqnlLvHPOuZNHK1kgjzJbdXaEtFMcdxxQhsysz4jB4bspDubTLcPBM8c7c9Dg6YQfkWPenN1evoyLETuryUwc+6agIu8LLu6TNnzK7et1Z/RKWbdmWDgRsCyzGr080lGpm19/n6LjCBLzhoXQ1elgEUGbWUbq/Ylq2LxTIXBLnsdftS8QnvsfW6RWYC1V3NCYTD7vlkq9nD7DPg9DhuyF2ebivfioqNWZHECGxKTf/EeuYvml4V5kdSY9kq9hvgfIRPvv7B7DUIt/EsXr8jrl4nYl1XTcAFXtRFSoH9h46YyUDk5L8xd8qHETAsg2D273LMuckux7QxPQDLAO6o3J6tkwNBEIHt4Q5PmPJcvSkh0iZgg+Gwh9pNpQyFaomHceweQTgjCBC8bLUHZShSl27CKqPrGC7KXKgadRg2mb7b9Ks5FIfbZxBv35GfddUEXOAlXXy456yyP2/bQZ2HT72uzJ2YkERLM3Pp5lYwm2ZWw/AB6VrQEsawxp2V5XMOaM1i7PuxQa+xdV4PxgQcN4ulvgmAMhjb7/cS3ZLQxAR4TjsU/N0dFdtR8XErrTrCGUGAwEqlVfRgmynWb9XMGPb1TCYjxfew6c/Szj0HkswXxMt3ZONnXTUBF3hFF+fc4rCSZxYto3vLNGQ/cAlokWOM/NayLenRzrOo1LTABK+EwFDIcspSVT4HgKWSWap2MROjXJ3XSzRNANjzIndUai/eD2CMoHIHKj5hNVtncpR64hN6xPrNMpdpYQwcvyVXvxPYZ5C3RiszX5B4/MTVIaJ4+I6C8bOumoALYl0Xf4Ox3E+/+dGM7XIftQQEHozHYzgCSxVLWwGFCzTJYhkAglb2Or3Z+jmwBDJrze6Ow0vXQ7SGg64Bz8YyOUyQS8fw8XdZqnejhMnun02paZ+YoSL8llitJO2FhHLLY1WoZf9x9N/Nv5lEdX7+jjj8rKsm4IJY1cXQD9Z6/7ZrLw2eNi/FaZzROsUSRLQ8sUIGyxO5wBKeDVawWuNqHwDGsLPX7kMlp65j6ks9ot0T+JcNZq9E1hrdxEaATWg5Gg6+utzWLfZqJQwvpS9omUEKdiZjnuHuUvXMMaAHDifSmbNn2ffVCf1+5URCV03ABbGoi+450ggvef8Teqx2G/bjdQKtQ0xaYrdqvr7z2SAipdS0dfRIp5msDgdSJdxVb4AZvuDqS01ixwQCJExZYzKW3phHtswTY/wPtpuaQnMOUHr6esrbe775rY0ZpKBngIP0cfrZB599RYeOHGVPPAuHfr9yIqGrJuCCWNJF6//s+Qv04+Zt5nD2dCnJOYNlmI/VMK3DfL1fsIKk8+RjONDazNvnBTO0w+pdQ2ClEZaXJre0NLWRDQe5SxtxvWCHMDKeStf7Y5gub+/nrXv5jK1PCowkn/Vb3W799oEJZPeriW4vUp0GTJ5DW7bvNPtPuHeXQ79fOZHQVRNwQazo/u9//9ABqwX2wpsrUpbgzfrgMQSTqWQTeqTzk6kShBFgCw5dRBmL1OU1ryFgAPc0GmIFo8gYAJCbwPVvFnNDySlr6a66fWVGYP12GYvVt571Gw5LR2WYCeROMyhTqabWO+E+XxQmjgvUam31RD82vQLu/Q0l3r9fN0RCV03ABdHWtcf+N2/fRa0Hjmc/yvBgd29lk48mZ+uJqTcJi5VA41bQ7RVkw1EwoHsaDLquYY2UEGvDQcHACJBqQjI8YzaTlWtNCRPfZ+tyjfX7JUz6kB5oMc5kRMU7wumG49ZC1WjglLlmQyI2JnLvsU28fr9cvU5EQteYgF+z43F4VffSpUtmS/87H3xKuau1YD/EcGACEpu8EHyLpfISzJJT1tB9TUeyuqGgtYuNZimd4LweYnE4KBjsjL4dy0cFa/vtieLUHEozS1jHrKB7Gg4yuZqkk9Y2mCso2aQLffLV93QMKauZdxnE4/cby7rGBPTByIiWLvK/b/l9F/Wd8CT78YUDASV9oZomdUGhYYvZj/96QBDK0+tZUcBAKxdj0CVSqwXrklgdDrLB3ooio5eZvECSncVY/5+r+1xzX1x9KQXzDYWGvkFZq3czGtJdzjZ3FK1BM19cbBot3Dsfb99vrOsaE0ABrpvgBMqhEq4r4gTKqW54MPyDnZpf/bDJZHvkPrhwmORrpZpR7m5zTCuP++CvB9RZaPhbpofB6QcDM8K1IMhxdUUCmQlEZzjIBtdYcPAic6YAd33XYAVnpNYuMmIJW9f1AoNH+m8MH7rtFZh9BQPG0a69B+iyFYyC3+t4+X5tYl1XTcAFkdSFAeB4Rwz/3F+uEfuhJUeg9V8rkHwtjXbf2mvds1QTJKPDZGaRumY1Cl9XZPCCCQAEX6zpl6yyQu8KO5BLTv2Iret6sXd+43zldAXc9QqwYg3DQ99s3HxN2ol4+H6DiXVdNQEXREoXq3/2HTpCT7yw0HXOH7v1j12iadH6t8GYPhK8cdcQCoIHNo9x9UQS+XBQdE0AlJy2ju5tPopuELTAMdH+QKsJZhiHqys1KD39E8rVZbbVK2joqleApacPlG9s0k6cPH32yvutcUNKJHTVBFwQCV1s/sLOX6z95z6qZLE+Nrv1n9oTv6GYIYuhi0yrmb2WIGBK2Wv1jvhKII6ACaTtoTKpCfYQ3Fm1kwmkodcZCn57s2yUqSe1QKMCZzmnpFdwW+HqNHzmc+aMYz9/vxyxrqsm4IK01sVhHpu2/k5V2vRlP6TkQMssU0JjytV1NvvxpiqzkPtmNd1ZxTkzKJYy3lquVdQmgkPxmgkg6OIkNRzPGXqdoZhhocodXCX5SynoFTza+UlzXW56BTjjGCmqcaQl941I0LghR6qrJuCCtNLF+P/5CxdN4rf8tVqzHxCL1RJDiww7TqXpna8XBBnkxmevJxjr2m4uVt8Kuq+y9UQD+XBQbJgAQA8KO4QlG7kwLJSz1cQ0HRaygUHhTGUs93WzyQynmCG54aat21OUe0jjhhyprpqAC9JCFwZw6sxZMwHsJu0zhggyFqljxtojNdRihoGGLLKMxzlBHYLpg+2msPVEC5kJRH9iOBTkY7r/8dGi+QFs9io0PPWXAidHqakf0f0tx1K6gjUsfdnwEHYZF6nfnj779gc6eUqebgJo3JAj1VUTcEFq68IAjp44Rc8vXk6ZC7o5frCCOc83d4SDVYmJ71EWwRnBSIiWrXYfKh2BFqkbjAnE6I5hJ8z8AA7ncRiHN8NC1m+EIRuunrQgsJrpGbNUWHqIzY25y9NDlZrSio8+17xDYYiErpqAC1JTF///4JFjNPX58EEpFGzpR274wiPeZj/ItMKsGe82h72mYNBDQU6i1DoXODXxsglg+KXwiLcofeHa7HUHgyHCR7s8ZZW7/txCUswGs2Fv0K1lWrqaJ8hWog69tux9Onb8JPvdhBLvccMNUl01ARekli6WgO7ef4gGTX1atPLDYP0ddm8i7z7yvHAfYppxZa04eh/stQWBVSq5u8deEAXyOYHYvH4ke3uowxOOZwEEjLip6T1w9aQZWDQwYbXZne5mniBbQh16+rV36HCi84RxPMcNt0h11QRckBq6WAK6/Y+9rhLABcb/61LOluOjstQSY9JILsZdWzBmOWjt3mwdsYDcBGJnYjgUBPY7KnVIct2hYKPZ/Y+PMffM1ZOWmDkM633Bs5QuI8US0lGzXqCDhxPZ78cmXuMGV68TUl01ARdcr+6lS5dp2849VL/bUPZD4MAYL4ZXopfPBqkh3jRHE3LXdxXrY0dPIVKrlFKC13sCIDCkhcl55zkkNByKjFrK1pPW4PCaPD2fM2mvpfMEmQtWNfmxwhlBPMaNtNZVE3DB9eieP3+Btvz+BzXoNoz9ADgwtnpb+TYRH/8PBi3P7HX7JLm2UDBU9XCH6WwdsYIfegIg0DMb4xhc0TO7q07fqG3Uw/PGBrbMpZqbxgx3jaHYRnDg0BH2O4q3uBEJXWMCfs2OxxENXRjAz1t/pzqdB7EvPgcmgHEYebFxK9kPLBKUmfEZ5ev3Ent9wZgVKRXbmcljrp5YIdCK9nZPwAYb8JDYjbuHYHASWf4BL7N1RILAfoJldHvFtuIJ48yFqlKvcbPMITWh31I8xQ0QCV1jAvpgZKREF0NAm7fvpJodBrAvfFICp35lr9XLnEHLfViRAoEGRsRf578g93y+vgvYOmIJv/QEAAz30a5POU8SW/+O1BNRNWizy3yVSTaI3gl3naHcWrga9ZnwFB07ceqa7yle4oZNJHSNCaAA101wAuVQCdcVcQLl/K6LSeAtO/4wOyS5Fz0JuQJn/ppTtyJw8Ho4MISQp/fzjhN7aN1lq9nLfOhcPbGEzARic4koB4bqcAgNdx/B4EB57Drm6ogkCZM/oLvq9hOvHLKN4MSpM1e/qXiIG8FEQldNwAVudGEAW3fsprpdBrMveBKsYIsW9QMtx1FpK1hxH1EkwVI/7Edgr9XGumbksy888h22jlhD3hPwhglgbX6Bga84tq7NcF2lDjExXBdYOTRGNLENcGwlllJrBlK+7nBIddUEXCDVDWQC3UONeoxgX+xQsAQUeXYe6TyL/XAiDYJF7u5Ps9caDJYh3td8JFtHLBIwAe8kkJNgH1Ifeh+hYOIeZxRwdUQac7h9xxnmWUtSTWD56LAZz5r0Kn6OGxyR0FUTcIFEF/++c+8BatJLduYuDAA52vP2ju6BK/8SGL+9tYzDOcbmuhtZPYa0TVudmvjRBHBPWIFzU77w504go+vtFdpYBh/dYUab0jMCx5KKTlCzuL1IDRo750U6ffacL+NGckRCV03ABU66yAW0/3AidRs1nX2RQzE9gOINYmpS1Uw4dnmKvd5g7INMuDpiFflwkHdMAOBUsbsbDGTvJxhzJnG3OWwd0SCQIfUFc13c9YaSpXgtmvPqEjp56jT7fTqh8YpHTcAF4XRhAInHT9LEea+wL3ASLAPIWLSuOf+X+0CiBZLE3VauJX/NVwikJWhCCRM/YOuIVWQm4J2JYRuTVwgb+hzG2U1voGLbmJgbsAkMPc4VG8FdJevR6+9+QKdOuzcCjVc8agIuSE4XBoAVDE+//g7dZH1o3Mt7DVYQzVCotsnLz30Y0QL7AvL3W2Cuj73uK6TLX40eahtbaaIl+NUEAHoDORo7b0TESqF8feezdUQLDFFhPgy9S+6ag0EDBGduv/fJF67PI9B4xaMm4ILkdM+ev0BvrPxIeB5wYBkocqvE2rLKhMlrKGvNHsw1B3GlF1AyynsYUoKfTQDvUpFR7zi2qLGkN2uNHtaziK003zizOmebSaLD9ZGGOk/1FvTl9z/RuXPn2G+VQ+MVj5qACzhdHAm57qvvTSZE7oUNBV32HI2Hmi489zFEi8CQwluOyw0Dp1d5ay7AxtcmYIHD6e9rNsqxJ5ehUC0qNPRNto5ogt7MvU1HmN3y3HUHky5PBSrZuAtt/X0X+61yaLziURNwQaguloJu2rpDfCQkWjnYLBOtXC7hMB9gE4clrVZwwYqgWDkz2C1+NwH0BpCiIX2hmuy92SDI3tNgsGX8sbfBr+TUtda1DbSu0TnFBHrejXuOoENHwmcetYn3eJUcagIuCNbF/+JMgMY9hUtBrW74nVU6m12eMIGYYvqnVHTUUit4hD+wBMsQczQewtfhATDkgDw63L3ZmPX03eew5b0A3q/7mjm/k8gwioyvXB3R5VMqMWE1Za3elSTZR7F0dMxT80Wnk8VzvAqHmoALbF17JdCoJ+ezLyYHTnt6uP0TlLvnMzFHru5zRZOK6bAstMU4tg5P0ONpcyYzd2826K3laDSUL+8FesyjnK0nsfcWDAz9rnoD+DqijXUPD7efZubOuGsPJXtCHVq0/EPHieJ4jVdcvcGoCbjA1j134SK9uux99oVUFCWyYMXQw5Wb0Vc//ETnz59nv10Qr/GKqzcYYwJ+zY7Hcb26F63/Xf/Nj3R3qXrsC6koSuRJn7ciVWjRi/bsP8h+uyAe45VE15iAPhgZly5dos2/7aQSjTqzL6KiKNED5xD0mfAknT13nv1+4y1eSXWNCaAA101wAuVQCdcVcQLlvKSLeYCDR45S99GylBCKokSe7Al1aeHyNXTp8uUk33A8xSsg1VUTEIINYS+8uUK2I1hRlKhgzw98+9PmJN9wPMUrINVVExBw2epWffnDJspaIvwSSkVRog/mByq17k3HT52+5juOl3hlI9VVE3AAw0B7Dhym2p3k5wMrihJdAqmnF5gd/fa3HA/xKhiprpqAA8hfPvuVt9kX7RqsbijWXmNLvhfAAeSOm3Gse0KaC668F0lv4Zit0mf3DCQZOvEu4J3gysca+B0lR1TmKNOAPvvPRtOQw7ccD/EqGKmumkAYMLn0ufUSIY8595IFg5cyR6MhVGjYYk+AM2fTOWzGQTB8uMN0trwXweEryFbJ3auNnRuJK+9FCg57w2wGxBGT3P3aILsoDnnh6og1Hhv8Ot3/+GiTDI+7FxvkFyr3eA86cuyE+Z79Hq9CkeqqCSQDWg+79h0wY4vcCxYMPjDkacdRf1w+lFgD2/Pz9nHY7Wy1iJEnCKkWuDq8iCx3kPcOlXEiYdIHdFvZ8GdEwPAf6TyTLR+LID3GnVU6mfeUux8bHE059IlnzbCQn+MVh1RXTSAZTp4+Q1OefY19sa7BeglxPjBamdzLGouYc2nrDeDv5womT1CTYWx5r+L7BHLJACN/sE34VBI3WK3mLNW6xFx22+TAdRYa/halL+y8WOOe0vXp029+9HW84pDqqgkwYBjoi+9/Eg0DoQXltdTKxcatpAwOHw/GXREwufJeJV5NANlCC4942zL28GnCcd4vzpfm6ohFcGD9wx1nioaFyrfoScdOnvJlvEoOqa6aQAgYBtp78AjV6TyYfaGCwTAQMoPG0nF9TmAoCGO/3P3YYJIwc9kWJmhydXiVeDUBcHX4hLlnG3sOiCsfq5iDkGp0cxwWuqNoTXP067kwuYXCEavxKhxSXTWBEM6dv0DPL17OvkjXgGGgEg2tFtYS9uWMVTAUlL1OX/6eruDlg2PCEc8mYI5w7PRk2GCJIaE7q3bylPmjl1Nk1FLKWNQ5l9cD5RvTtxt/YeOCE7Ear8Ih1VUTCKn3l992mjFE7iUKBitrHmr/BPtixi4bqNjYFWaoh7snm4xF6njO3CQYExgcnyYQ+O2XOy4XzVC4DhUbs5wpH7ugJ56r+9OOJ5JlyFfJ7Pc5dvwEGxvCEYvxygmprppAEDgjoOuoJ9gXKBhzTmv17lQ6xs5pdQIfS27rY+HuyQZDXHdUahdz5x+nBvHcEwCmF1g7/Go3DAk91H4aWz6WCSx26O+49yVr8dr04tsrw6ac5ojFeOWEVNeYgF+z43Ekp4sU0Ws+/8b5sHirO31LQmPTquJexlgGh8Nnq9WLv68reHFcWEq8mwDmg3L3fDb8kBDmuSp38MwqoatYjRZ8kzeXaMTel81NecpT0QYdaN/Bw2x8SI5Yi1cSpLrGBGL5AjlSW/fixYu0Y/c+qtauH/viBIPutFeDJFYFOZ3WZI4d9KDBSYh3EwDFx60yG8O4e7cxQ0LW33HlY5nAsNBcx9VCmCSe8PTLdOnSZTZGcMRSvJIi1TUmgAJcN8EJlEMlXFfECZSLFd3jJ07SC4LJ4Btyl6fbK7T11GogmzIzP6P8/V9i78smsOmtHVveD6gJfEEJ6A3W7Mneuw0aOrm6zWXLxzqBVVAdk9xTMCbTaKWm9NuuvWyM4IileCVFqhv3JoCxwV+2/U65q7VgX5hgsLY+X5/57MsX65Sato7ubz6KvS8bsyqo9US2vB+I74nhAGjAPNL5SfbebW7MW4nurj+ALR/roLFTYNBrZrMjd282mQpWpW6jp7PnDnDESrxyg1Q37k0g8dhxmvLsq+yLEgy6mNlq9vLshGkJpA4o34q9NxuYXCEP7Xx2i/YELKz3t+jopSbQc/dvsFrKmUo2oTIz1vN1xDglp35E9zQaEnbuA9xXriH98MtWNk6EEivxyg1S3bg2gXPnztGmLdvpgfLhJ5PwMt1crAEVHvkO+9LFPFhLPXpZ2A8fXeTMpZubQMnW4QPUBAIglxCGNbn7t0G2Ts82CK687xkKhd8Vf8tjVajjsCnXpJtOjliIV26R6sa1CRw5eowmzA0/Tg6QIfT+x8fwL5wHMBNmXWez92ZjcgU1Hs6W9wtqAgFKTfuYcraayN6/DYYGH2w7hS3vBZAv6SHr+jGPx92fzb1lG9I3G5OeQhZKLMQrt0h149YE0AvYuHmbYy/AbiFjezr3snkBs4a6bviVT8gln6/fAra8X5CZALKI+tsE8BwKDnkjbIC0E8p5dfgTFJ/wHmUu1Yy9Pxv0BtoOnujYG4h2vOLqdUKqG7cmcDjxKI15yiGdsgWW0z3a5Sn2JfMKxSesNsNZ3P0FKEc3F29IJaeuY8v7BbkJ+CuVNEeJie9TpoQm7DOwwXJhNCC48l7A5Mnq+azjklEcPoPjY7l4YRPteMXV64RUNy5NAHWgF3Cv9eNzL4WN2T1buaN5mbiXzAuYwDdkEXt/NjfmqWR2knLl/YT2BP4Fk6c5Gg9ln4ENGkD5+rzAlvcK6MFnqd6NvT8b9AbaDJoQtjcQzXiV1rpxaQJHj5+gsbMXsC9EMMixk6/fi+zL5RUCueQns/dng13Cj3Z5ki3vJ7Qn8C/mYKHez7HPwOamfFXovqYj2fJewf7Nw66GskBvINzcQDTjVVrrxp0JXL58mX769TdhL8CD2+dDuJpql7lHGywN9ezKJxfITMD/E8M2RccuD79iDJsHK3g/j5TZIFejO3uPNugNtB8yOdl9A9GKV5HQjTsTwIlh4+a8yL4IwWCiFHn3uZfKS2A+IGPRuuw9GrAmvFRTz5udBB0OuhZz7GT51uxzsDHzAlO9Oy8AzAay/i85zg2E2zcQrXgVCd24MgEcGPPbrj2Us0Jj9iWwwaqJ28q38fRcADBH8A17g71HG7QEcdQkV95v6HDQtZSc9hHd23Q4+xxs0BjK3+8ltryXkByqg13EnUdMo7//ThpbohGvQCR048oEzl24SE+//g77AgSDswIe7TaHfZm8ROD4vfCpsTEfgDQCXHm/ocNB12KvnuGegw32CzzQajxb3kuYe+39vBni4u7TJmeFJrT9j31JYkc04hWIhK4xgbTOUscR6ax8+Pu9Bw9T2ebhxwbN0YplHjcBlHuZvITJH183/CligfkA/x0gw6EmkBQzL5An+XkBDKFkqdaVLes1AqlTwg9/3V6khskwysUPv8ZJYwKxfIEcKdE9c/Ysvb/+S7rRYQehyaffcQb7EnmNEhPfo1vCrQXHfEBCY88djpNS1ASSgsB4a7nwOaWwxwTHU3LlvYTZOW/18MNtkkN8KFS3HR07cfKa+BHpeGUTCV1jAijAdROcQDlUwnVFnEC5SOruO3iIWg8cz/7wNtgdnKlUM5Nxk3uJPAXyp4x8x/RsuHsFZj7A6imw5X2ImkBSAvsFhrHPwgZLpQsOWcSW9xpoGOEb5+7TJluJ2rRw+QfXxI9IxyubSOjGhQkgRcQPP2+h2wqHP1/V5Etp4918KcHYrR7uPm3MfECnmWx5PyKfGI4fE8BYee6ez7DPwgbviffO0+YJHLg/M2zjKGP+StSg+1A6febM1RgSyXgVTCR048IEkC560ryX2R/8KlYv4JYSDc2yOe7l8RqmhddwCH+vV4in+QAQMIGF7LOwMSbQIz5WBwWweoxjloWdMA30GPswZb0JegPh06iUNfuIvt/069UYEsl4FUwkdOPCBH7/Yw+VaNSZ/bFtkEUTy+W4l8aLmEmwcuEnwZAvyOvLYN0g7wnEkwkgKL5PmUuHGSKx95JYz48r7zWQRfWBFuP4e70CRg1GP/nC1RgSyXgVTCR0fW8C6NJ9+NlXZryf+7FtMhSuZU6d4l4aL1J8/Cqz1JW7V4CWX5aqndmyfkVmAvE1JwCwiixb7d7s87DBucN4p7jyXsPsnxn+Vtjd0jfmLkeF67YzR88ijkQqXoUSCV3fm8CBQ0eo68hp7A9tE9gc1so3LR3cB1IFc/dqY/LCNPN2Xhi3qAnwIL9UztaT2OdhE0g17u08WsFINo/dXaoerVz3uYkjkYpXoURC19cmYJ8fjB+T+5Ft0hWoSg+188eEMMCkMBLCcfdqg8PEc3f35mHiKUVmAvE1MQxKz/jMnCXBPQ+bdOaQmclseS8S+EaeMkNd3P0Cc/LY0MlmYUkk4hVHJHR9bQInTp6il5asYn/gYDIWrUfFxq1gXxYvgknhe5uEX/YXmBR+my3vV+QmEF9zAqDomOWCyWF/LSdGXq0MhWqy92uDQ6f+2HsgIvGKIxK6vjYB7A14vO9o9se1wY7IrNW7sS+JV0FX945K7ZPcazBmA5APdkW7QYeDkgeTw7eUSD6nFpZU3lqmheczigaDxtLdDQay92uTpXgtmvf6kojEK45I6PrWBDAU9Ov2nXRP6frsj2uDydM8PlsSaFo4Vks/9F5t0OK7o1IHtqyfURNIHpNuuVZP9pnYIKNogodPGgulzIzPTHK8cDuIM+SrRDXa96ez5875Mk4C35rAyVOn6J0PPmZ/2Ktgb0BCYyrphx3CNman8BL+fq9gDpVv4u9D5TnUBJLHLJtsNYF9JjaYHH5s0Ktsea9ijtks2ZS9X5scZerTN//92ZdxEvjWBA4eTqRe42ayP6qN2RvQZCj7cngVTHjl7v40e7826QpU9/y5ySlBTSB5sF8kb+8X2GdiE8irNZ0t71VgfjkdzO/WQtVo8LSnTS4eLh45EctxEqS6CWAmHWtrsUsXgRjj8rv3HaBde/Zfw+59B+nA4aN0KPG4a1AO5UPrDObbjb9Q/prhE2PZK0GwscovFBu7XJQjPm+fF9jyfqb4hPdMOmHumdgEUmvPZMv7GqtFjH0y3DOxCUwO9+fLe5WJ71H+AS+HXSWEpHL5rFiy04orXDxyQhKvkmPvgUOUePwEnTh1hs6cO08XLv5pmZEsXrsygevNUnfu/HkT9HHR/9m4mV58eyVNfuYV6jdxNrXsP46qt+9PJRt3oZJNrqVU064pJrSuUArXa8f+oMHckKcCZS7dnG4t19I3IA02zI27XxvMCWQu1ZQt72vKtjDDf9wzscH4MCbN2fI+J+yuYWAFSpgkV9bL4L6dTh3D3EDBOm3ZWCSBi1FOoBxiJw7BHzhlLj3xwiJ6/d0P6fuftxhjwSmJf/11iY3NwFUW0ZSkOb148aLlTqdp9/6DtOG7jTRy1vMm0HMPUFEURUkdYEgwiLGzF9CG/2w0vYwTJ08nidHSNNTGBFCA6yZwYNXNUat78vPW7TRjwSIqWr8De6GKoihK2gJDQON79stv0Y7de+nY8UCaC4C4jiDPDRUF48oEkIdn244/6MmXFtODFcIcVqIoiqJEjJvylKdHqzSnOa+8beZgz5w5m7omgNb/sRMn6JOvvqMKLcOvJVYURVGiQ8b8lala2370xXcb6dTpM6ljAjAAJGHDZK9TDh5FURQlumA1U84KjWnxqrV0+sw5NvAHE9YEYABYojRj/iJKnzf8Kf2KoihK7ICUF88sXEpnz19gg79NsiZgG8DkZ15lBSQgh3+6PBUoQ76KdHOByoqiKI7geMebwqRyAIgtXFk/gaEdTPwihjqdh5IcdxarSU+//g6dC2MErAnYQ0AzF4TPSR+K/cNktRwI2fewwaJ0065Uq+MAatp7hKIoiiP1uw6hByuE38+RuWBVtqyfaNJzhBU7B1KZZt3Mxtf7yzUyrfubLXPgnklyZEuoQy8uWW02molNABu/Xlj8rnFkrtJQEPwzF6pGD1dqSs37jKLnFy2lzdu207FjxxRFUVzx+84/qPWA8Mc/PmTFGq6sX0lMPEpbfvudnrFa9U17jaD7yjawYm5VuoF5Nhx3laxLy9asp8tM6oskJnDq9GlatW6DcRyusmBwATCKRyo3oz7jZ9HGzVvYG1AURZECE2jVfywbc8ANucpSrqrN2bLxQGJiIv24aTP1HjeTHrB6B5LGOhrqWEL63aYt4U0Aw0A4ieux2m3YioJBpUisVK/LYPr6h43sxSqKorhFewIyDh85Qp998z3V6TSIbingPESEuYWKrXoRchAlawJHjh6jCXNfYisIBgZwR9Ea9Hif0bRr9x72AhVFUVKC9gTkHLXYsv13atF3NGUqWJV9XsGYFUOLltE///yT1ASQ/XPj5m2Uo0wDtrCNbQBdR06lffsPsBemKIqSUrQn4J4du3ZT5xFTzLnI3POywR6CQnXbUeLxk0lNAL2AMU/NZwvaYA4AQ0Bw6QMHD7EXoyiKcj1oTyBlbN+xi1r2H+M4R4DewJxXlyQ1gS2/73LMB4TKMQewa48OASmKkjZoTyDlbPt9J9XpPMiM2HDPDSDPUPGGnczegatZRM+cPUcvLVnNFrBBpVgF9M0PP7HiiqIoqYFzT6Ac5a76OFs23sHKoS/+8wNlLZH8GeMAS0aXfviJ6QAYEziUeMxyj8HsH9tgc0bvsTNZYUVRlNRCTeD62Ll7D/UdPytsbwCbetsOmmBWhBoT2PzbTvMfuT8GqAwbwX7YtJkVVRRFSS3UBK6PxKNH6evvN1K2ML0BPMNc1jPExmBjAotWrGH/0AYG0bLfGFZQURQlNfHixPBRK/AePHSIdu3eS7/t2Em/bttOP23eSht/2UK/bP2Ntm7fYVbwYEUlhmy4OlITybwKskJ/sP6rgAkMmDyX/SMbOMrLb69kxRRFUVITSQCLhYlhBP69+/abyVjs4F284kMaNGUO1e82hIrUa2/iJobR81RvSVXa9KGOQyfR7JcX0/qvvzOmAMM4kkaGsP/gQXrxrRVhh4TuKFqTpj77WsAE6nUdyv6RzYMVm9Dvu/5gxRRFUVKTWO8JIPjvO3DAtPJnzl9IdToNpByl67PXyoFVlhVa9KTBU+bS59/8kGZm8N+ff6UsxZJP/4PNZV1GTguYADYPcH8EsJwooXFnVkRRFCW1ieWeAIZyNm/dTs+8voQqXucpi0iX/ZDVwLbNYI/Vq+A0UwoSziGLM6cNkKa6RocBARN4uHJT9o8AzgKoaf0hJ6IoipLaOPcEojMxfORIIn39w0/UpNcI9rpSCswAy++nPfca7fhjN6udEn7bsYsadh/GagJ797AxARxFxv0RwKRwC50UVhQlQsTicBCStX3y5bdUtEEH9ppSA8wfdBs1zQRv7hrcAkNBfZyWDXpUxgQeCGMCGDdCniBORFEUJbWJteGgI5YBrP38K3NKF3ctqQlOE2vUYxj9sWcvey1uQB0jpj/L6tjg8C81AUVRYopYGg7CHMCGb39wNfF7vdxWuDqNmPEs7T9wkL0mKbv37KNRs55jNWzuL9dQTUBRlNgiVkwABvD9T79Q/S5D2Otwwj5fPdwyzeTA8tJX31lFhw4fZq9NgpqAoiieJBZMAMtAcURui75j2GvgSJ+3osnQeU+pema4qmzzblSjQ38zf5GjTH2TzyeTQ6pnG0wWF6jVysxDcNcnQU1AURRPEgsmgH0AWAbK6YeC68EZK5Va9qJnrTIfff612R1s14XW/Bf/+ZFefGu52TB2Z9Gaot4BYm/n4VNSnLZfTUBRFE8SbRNALwAbwST7ALCPCnnVBk2ec03gT449e/fT9OdfpzzVWoh6BeaA+A8+ZutyQmICOjGsKErMEW0TQCqIGfMXstrB3JSnAhWu144++cL9kA0yMLQfMtHxbGA7b9vBQ+7nBtQEFEXxJNE2AeQCqtG+H6ttg41W+Wq2oo2bt7B1SNi+cxc17zPK1MVp2CDR24frv2TrCIeagKIoniSaJoChoO82/mwmeDltAP27S9alea+9zdYh5ehR5PfZQg9Xasbq2NhLRrk6wqEmoCiKJ4mmCWBt/vNvLGN1bexjdvfuv/5cP9Bb8ObysOe5pMtbwSScO3T4CFtHcqgJKIriSaJpAibVAjJrMro26CXMe30JWz4lYPipervww0/3lmlAX/+wkS2fHGoCiqJ4kmiawHZLu2W/5LUBxujf/+QLtnxK2GkZT/fR01ktG6wSevfDT9jyyaEmoCiKJ4mmCaBVXrfLIFbXBumfcY1c+ZSwd/8BmrXgDVbLBjuIX1ni7mAvNQFFUTxJNE0AJ35VCLM/AKkgyjTrxpZNKYcPH6HV6z5j9WxwOMzcV95iyyeHmoCiKJ4k2iZQqVUvVhcEzlfpz5ZNKchRhCMnOT0bZDCdtWARWz451AQURfEk0TQBbOJqO3A8qwugjTOD0XrnyqeEwHnAy1k9m6zFa9OCxe+y5ZNDTUBRFE8STRP4QxA4sVLn2x83seVTAvL+D502j9WyyZ5Qh95avZYtnxxqAoqieJJomsC+/QfMJjBO1wYBefGKD9jyKQFDUA26DWW1bJCZdO3nX7Plk0NNQFEUTxJNE0DGz6UffMzq2tg7eGEYXB1ugN6qjz4zK444LRAYgmphgjpXR3KoCSiK4kmiaQKJR4/Sl9/9l25xyPCJMfr5i5ezdUhJTDxqDq0p36IHq2GTuVA16jN+FltHONQEFEXxJNE0AYCD3ht2Dz88g0NfitZvL0ofnRyS3ckAR1uid8LVEQ41AUVRPEm0TSAwL7DE5Ozh9G0QG3FIDDaYHUlMZOviQJI6TAavXvc5W28wOK0Mh9W4HQoCagKKoniSaJsAwNGSheq0Y/WDQTK5Gu37m2Mgd+8NH6gR/HFi2Y8//0rDpz/D1hcM7hMpKuYvXsbW54TEBPRkMUVRYo5YMAEE9PFzFrD6HDheEn+/6dettOW33809oA4cUIMhI6wA+mHTZnpm4RLHOQAbGEz9rkNNplHuGp1QE1AUxZPEgglgM9h7HzsP1wSDw2HuKlmHSjXpYq5/3Jz5NHP+InNOMHYhP1CuEVuOA/eIAP3Gig/Z65OgJqAoiieJtgmYZZvrPjd5gjj9SJDZiru9xs5gr0+KmoCiKJ4kmiaAs3xXfrTeDMVw2pEAK48K1W1nVilx1yhFTUBRFE8SLRM4eOgQrVjzqWmFc7qRAAaAs4tTsiQ0FDUBRVE8STRM4MDBQ+bQltsL12A10xrcE2Jt4XrtaM1nX7HX6BY1AUVRPEmkTeDAwYPGAMIdLh/MjVcCNvdvKQFzD9gQ1m3UNPpl62/sNaYENQFFUTxJJE0Ayy+XfrDOHN/IaYVyU57ylKtqcxMT7yvb0OQRwvVwf+sEzATnBJRo1ImefvVt1wfJO6EmoCiKJ4mUCWDj1pL3PjKtcE4nlJusFnuR+u3p6+83mh3CP27Cpq9n6ZHKzej2IjUofb6KJrBzZW1w7bcUqExZrV5H3uotaNK8l+jnX7ex13e9qAkoiuJJ0toEjlogNQQMwKRNYDRCgQEUa9DB7PYNrsuYgfXfxs2eT9Xb9aMCtVqbHgJ2+iLJHFr6+F+kn0Y66EerNKfWA8bRC28sS7Pgb6MmoCiKJ0lLE4ABYBfvW6vWhk3fHIxtABs3b2HrDObIkSO08Zct9N4nG2jBm++aIyFxIhgOhFn72Vfm5DKuXFrgzgTKqwkoihIbOJtAWTMuz5UNx9Gjx2iPZQCLV35IuawWOVd3KG4MINZwZQIPVmzK/gHI9FgV6jxiCiuiKIqS2sAEMGTCxSObhyo1ZcsmB5K37dm7jxYtf58ertyMrTMUrNrxqgEAZCrF4TfcvdlczSKKg5O5PwA3569MTXuNZEUURVFSm7QYDkIqiNXrPhP3ADDJm9Cos2cNAOz8Yw/1GD2dvT+bBzEkBhMo1rAj+wcAObUrtOzJiiiKoqQ2aTEchIRwaz//iko27uJ4TkBGq+GLTJ9eNgCwfccuqwE/gr1HG6xsMiZQo0N/9g8AljwVqNXKTHhwQoqiKKlJWgwHAScjuMECx0pWa9fX8wYAkNK6bLPuSe7T5sbc5ahYA6sDABPoNuoJ9o9s7i3bgL7b+DMrpCiKkpqk1cQwSM4IMMSEs3zrdh7sCwPAHAjOL85SvPY1zy6YmwtUpmZ9RgdMYMb8Rewf2WCtK5Y6cWKKoiipSVr1BGxCjQAGcKtlAI17DPeFAQDkQnp5yUr22dlgt/OoJ+cHTODDz742ByJwfwiQVrVBt6E6JKQoSpqTlj0Bm2Aj8JsBAOxHaDd4Avv8bJAqY9ma9QET+P2PvZQ9IXzujHvLNKCvvvsvK6goipJaiHoCFZuwZd1gG4HfDCDx6FGT2iJcOgz0frBUds+BwwET2H/oCDXrPYr9YxtMmLQbNMEsteKEFUVRUoO0Hg4KBkbgJwMA6AX0GBN+aWiGfJWoTpfB9H//938BEzh56jS9/u77JkMeV8AG+TBw7iYmHThxRVGU6yUSw0F+Baa22orRmQuFT3WdLaEOvfzOe/+awJ9//kk7du+lR60HyxWwwSRKqaZdaFMaJz5SFCV+iWRPwE8kJibSt//dRKWbdmWfmQ3mf/PXak2Jx09eawKJx47T5GdeCTtBDLCDGGNoO3btZi9EURTletCegHswD7Dp161hn5sN0l6Pn/uSMYBrTOD8+fO0+bcdlDNMRlEbrKfFSfg4CFmHhhRFSU20J+AO9AB+2ryVBk6ewz6rYOxewB/7DyU1gQsXLtDR4yfoyZcWm23TXAXBYKNBw+7DTC5tnNDPXZyiKIpbtCcgA2mxsR/gy+/+S417DmefVShYBTrn1SVXDSCJCYDd+w5Q9fb9zRIirpJgMEdQvGFHk5sbvQJMSnAXqyiKIkV7As5gleav27bT68veoyL12rPPKBQ07ut3G0oXrHifxAT++usvYwTg3Lnz9NUPm+g+5JlmKuII9AqG0up1n5t8FUhhqhvLFEVJCdoT4DlsxVTE1l+2/EbL13xKtTsNpJsc5nBtMAxUoFYb2rT1d/rf//53DcYE/v7772v+41nLCLB86I6iNdkKkyNDvopUukkXGjnjWVqz/iszUfHrtt9NL2HnH7sVRVEc+XHTZsd9SznLN2bL+okdFoidiKH//eVX+uDTL2jYE/OoOJK+Mc8kOWAAODfgxbdXXm3sB2NMAIE/uHsATp89R1Oefc3kl+AqdgLCOFezRMNO1KTnCOo+6gnqMVpRFCU8HYZOorxhzjgBiEtcWT/RdeQ0M9aPTJ/ZSiSfCC4cGNbPUaYBTZz38tUh/1CSNQFw8vRZGj7zuRQbgaIoihId0BC/p3R9GjnzeTb424Q1AQAjGGFVkqV4LdFksaIoihJdAkNAjWncnBfNPC8X/G0cTQCcPX+Bnlm4zOwoRkZRTlRRFEWJLmioZypYlQrWaUuvLnvfjPlzgT8YkQmAv//+H/36+y5q0msk3VmsFnsBiqIoSnSwh386DZ9qsoMirqeqCdicOnOWps9fZA4oRh5uHSJSFEWJHgj+WMn5WO229Pzi5XT5779NrE4zEwCXL/9N23buocHT5lHuai0oW4k6Zq+AGoKiKErag1ibuWA1k9m5aP2ONPW512nfocRr4nSamoAN9hccPHKUFi7/kNoMnGAZwuPmtBokKMpcsKoxhvR5Kxqn4m5EURRFSR4cBo/c/zjPBSMvWKCDIZ/8NVtT34lP0ZoN39KZc+fZ+BwREwgVOXHyFC1fu54mPv0y9Rn/JD3edwxVadOHCtVtRw9XapaERyo3TzFcfcFgcwQMiHuwNjfkKk8ZCtemjMXq+4ei9eim/OFzifvyviVYzyZDofDzWWhhpS9Ygy/vczIUqcM+k38pRzflq8KW9SxFrfsubN23wyhGujwVzBA4F4skcDHKiUcqNzMpIWp1Gkgdhk6hIU88Y/L+fP6fjXTxz7/YmBxMVEzADSiXlro79+wz5sP9oDbprYBQYNBrVPbJL3xDqWnr6P4WY9j7tcF9FxyyiC3vZ8rM/JweG/Q6+0xs0j9WnfL0nMeW9zcbqNiYd+mGML32G/NWorvrD2TKepcyszZQ4ZFLzL1x9wzQMMhTvSUdP3majUdOxHKcBL41gcOJR2n4jGfZH9XmxnyV6Z5GQ9mXw6uUnr6ecveYx96vTboC1emRzk+y5f2MmkDylJ6xnvL1mc8+E5t0BarRQ+2nseW9SqlpH1POVhPZ+7XBUEzHYZN9GSeBb03gzNmz9MlX34UfErIc/uYSjajk1I/YF8SLmJbNiLfCdm9hfjka+8v8JKgJJE+pJ6xg2Dp8MExfsCblH/AyW96rlJjwHmUuHf5ERaS/WfL+x76Mk8C3JgB27d1PReq3Z39Ym3TWR5+r+9PsC+JVik9Ybca1ufsFN+SuQLdXbGf97YYkZf2MmkDylJyyhrLX7sk+E5uMRepS8fGr2fJepMzMz+ixga+EbTBhKChvjZZ07MRJ38ZJYwKhWUSloFxwGmo3oFxa6+LIzFFPvsD+uDY35qlIWWt0t1rQn7MvihdJmPwh3VGpfZJ7DQaTpOgKc+X9ippA8pSY+D5lSghzqqAVDDMlNKGyVk+TK+9FSk5dS/c0GMjf7xUwFNRlxLSIxCuOSOgaE4jlC+SQ6v516RJ9+cMms8SK+4FtsDqg2LgV7IviRTC8laPRUPZebbBKpuCwN9nyfsWYwGA1AY5iY5ebBhH3TAD+LVutXmxZb7LBuucVlL5Q+OycWIe/6uMvIhKvOCKha0wABbhughMoh0pCuyESUC4SuocSj1GFlr3YH9gGSypztpnMvCjepPT0T+jhTjPZe7XB5PCjXZ5iy/sV7QnwlMGkcN/wk8L4Rh5oOZ4t70VKT/+UcnWZzd6rDdboF63fwSzHjFS8CiUSur43ASS/m/vaO2Zsj/uhAZbF3Vq+lVkhwb0wXiMQ7F5j79XmJkwONxnOlvcragI8ZlK4zST2edikf6wG5en1LFvei2DINEvVzknuMxhseh0ze4GJI5GKV6FEQtf3JvDPP//Qtp276c5i4U9J89uegeLjVoZf+5y7At1RuSNb1q+oCfCUnLKWstfuzT4PG2wuLDJ6GVvea0j2BgCkYv5x8zYTRyIVr0KJhK7vTQAcPXGKWg0Yz/7QNlf3DPhk4qvEpPfp1jKPs/dqgx2TGDriyvsRmQlYLd44MwEzKVyqKfs8bG4u3tA3PWUsiHigVfh4gKXl1dr1N41IxJBIxqtgIqEbFyaAMb2lH66nm/KEyWGUC3sGGpoPgntxvAZad3fV68/f6xUwOVxo6BtseT8iN4Fn2PL+ZAMVHbM8fK8xT0XKUq0rU9aLbKBiVi/5loQm7L3aZEuoQy8tWX01hkQyXgUTCd24MAGw79ARylO9BfuD22Dy68HWE82Lwr9A3gEt/Ec6zmDv0wY7QB/u8ARb3o/ocFBS0Lp32mEemBSewJb3GpgQxm557j5tMH+Yr2YrSjx+8mr8iHS8somEbtyYAA7On/TMK+yPfhWshS7ZxLSiuRfISyDgFbRa+UgWx96rBZb9ZffVsr/wqAkkRbKc2OwU7vciW95rYCPlrWXDNwaRrXPglLnXxI9IxyubSOjGjQng73/etsPx0PxA63g6+wJ5DWyJz1i4LnufBsv0bklobJYIcuX9hppAUszckUNQxMbChIkfsOW9BHo9WOHE3aMNegGYEP7Ppl+TxA+/xsm4MQFw9MRJaj0w/IQQXoLMZZqbZXPci+QlEiavoazVu7P3aWPmBYa/xZb3G2oCIczCfMAyujF3BfZZACyfvq1CW768xygx8T26vWJb9j5tsLG0VsdBVyeEbaIRr0AkdOPKBP786y9auW6D4zkDJp9Q19nsi+QlAknBwq//Rs/nEZ/0fJxQE7gW0zJ2mg/IV4XuazqCLe8lcK8mS6rVyOPu0waHYr25el2S2BGNeAUioRtXJgD2H0qkhMbhN4mY1k/51mYSiXuhvAISZBUYED5BFlaF3FWnD1vebxgT0LQRVzHzAU2Gs8/BBqul8vb0/iaxhEkfUJYq4b97rB4s0aizmT8MjRvRileR0I07Ezh77jy9tGSVY2/ALzski49fZVJEcPdoiKN5Ae0JXEsJKzDeWrYl+xxsMhbxfl6tQGPo5bCLJACWhT63eDkbN6IVryKhG3cmgHK79uyn4g07sS+CjdlRW6WT5zfImIyilTskub9gMhSqTYVHvM2W9xNqAkHMCpwkdmOe8Cdq3Vq6uec3UOIbyFqzR5L7C8buBZw6czbZuOHXOGlMwK/Z8ThQ7uSp0zT/zRXm3FDuhbAxS+P6LmBfLK9gjpt8fDR7fzZmXqDTTLa8n1AT+JfA/oBn2Gdgc2PeynRPg0Fsea8QGAJcGDZDKsAB7vMWLmVjBohmvEprXWMCsXyBHKmhu/fgYSpSP3wL2fQGKnXwdGqFMjM+o3yWkYWdFzBpgnv6Klc8h5rAv2A+4J6Gg9hnYIMFErk9fuAShryy1nDuBRRr0NGcP8LFDBDteMXV64RU15gACnDdBCdQDpVwXREnUC6auucvXKQX33aeG8CH8KhZKeTdAOl00hjAqVF+OmaTI9AqVBMAeCduSWjEPgMb7A8oPmEVW94LBPYFPMfeWzDoBTz18ptsvLCJdrzi6nVCqhu3JoB6sFII44Dci2GDcdFMJZuacUXuRfMCCVPWUNaa4fcLwCTy9p3PlvcL2hMIgOdQcOgi9v5tsEIucAQpX0fMgzmPcSsps0MSRbsXcOToMTZe2MRCvHKLVDeuTQC9gVeWvu/YG7gpfxV6oOVY8/GwL1yMU+qJT+jhjtPZe7OJh8Pn1QQCYJ7ogRbj2Pu3MfmCWiGPFl9HrIM9Mg+2ncreWzBZi9emea+/w8aKYGIhXrlFqhvXJgAOHD5KCY27sC9IMOgaFxnlzXzqgfzpb5s5Du7eDOjxlGrm66WiagIBME5+W/lW7P3b4HyNxwYvYsvHOnjfi4xcYs5A4O7NBr2Akk260LETJ9hYEUysxCs3SHXj3gQuXPyTFq5Y43gOsdlUVbefZ5eMIkcM0mFw92YTSC3tzQ9fgswEfH6eAALkqHfMcA93/wYzBNrYs+96ySlrKEfDwfy9BZGtRB16YfFyNk6EEivxyg1S3bg3AYBziMu36Mm+KMGYJaP9X2ZfvFgHk773Ng2/O9SctdzaHymDOeQm4N/zBMzQYIfwKcbR4Lm73gC2fKyDjWGPDXo17P4HgOXhZZt3F/UCQCzFKylSXTUBiz//ukQr131BtzxWhX1hbDCccnuFtp5MLodWXd4+L4RdKhpYEtve6k57c+7DCR0OCiQVzFK9K3vvNoGloXPZ8rEOksRlqeqwEdT6BnKUaUCLV65lYwRHLMUrKVJdNYErIMNoy/7hJ8tAYGPVLDPuyL2EsUyxcavMB87dl02GInWo+PjVbHmvo8NBG6jY2OV0U76q7L3bmKWh4723NBS5vnJ1mxu2oQMy5q9EjXoMp3PnzrMxgiPW4pUEqa6awBUuX/6bvt24mW4vEn49PV6wW0o0Nh8T9yLGMlgqms1h+7wxuY4z2PJeJ96HgxAkcyNIMvdtg97gnVU6seVjGqtRVnT0MuvbbMjelw16AQ9Xakpffr+RjQ/JEWvxSoJUV00giJOnz9CImc+bVQPcC2Rj77At5bGdxFdbSo+GHxK6s3InEzC5OrxMvPcEzH6RGuH3iwQOVfJeIwD7eO6uPzDJ/YRinxrGxYZwxGK8ckKqqyYQBA6S2LFnP+WpHj6zIkBmTpxV6rXxc7N7OFxWUQssrSsyailb3svEdU8ALeUx75rzAbj7tsFQULGx3soaano4PZ5m7yeYG3OXp4J12tKuvfvY2BCOWIxXTkh11QRCwAay15d/6DhJjGGhjMUbeC5Y4vzk7LX78Pd0hcBGofFseS8jMwF/TgyXNquCnmDv2Qa9wCxVO7PlYxU0wpABF2lPuHuywTDQPaXrmzTyXFxwIlbjVTikumoCDInHT1LzvqPNi8O9UDY35Al8NNiByb2gsUjpGVaryQpyYVcJ5SpPt5Zp4buNY/FsAjhUBSu/uHu2sRc9cOVjkw1UYuL7lL1WL/Z+gkGjrtWA8VYjj48LTsRyvEoOqa4xAb9mx+OQ6F66dJk2/vob3Vc2/CQTQKv5wbZTrADzGfOSxiZY/ZOhcC32fmzMjlErYHLlvUq8moDZMW61lsOdJQzMUNA476wKwp6HRzrPclwNhGGgArXa0G+79vgyXiWHVNeYgD6YpBw/eYpmv2J1M/NXZl+sYDIUrkMFh3hnp23JqWvprvr92XuxuQm5hJoMY8t7lXg1gVLTPqacLcez92sT6NV2YcvHIvgtCw19wzE7Lnrz2RPq0BzrW/ZzvOKQ6hoTQAGum+AEyqESriviBMrFuu7ufQeoZseBzsNCVgvr9grtPDMsZDaO9X4u/H1Z/5apZBMz6cbV4UWMCcRhKmlsoMLwHne/Nv+mTOfriCmsng0WOGSpJsj5lb8SNeg+zBwk5fd4FYpUV00gDGfOnKUvv//J7C7kXrBgsOrivmYjqfi4lZ6g4OCFjhvH8O+5us1hy3sR7O3I3WMee682gSWST7DlvQhW+uTtM99qqIRvyCBvVMEhC9k6Yg3sB8AQLHcfwWAYKF/NVvTjL1vN9+z3eBWKVFdNwIGjx0+YAyduLuA8LKQoSmyAXu5dJevS3Fffvvotx0O8CkaqqyYgYM/+g1S3yxDTsuBeOEVRYgs02rDC7/SZM1e/43iJVzZSXTUBAWfPnqNv//sLPVA+/HF8iqJEH+z4L1SnHf26fec133G8xCsbqa6agJATJ0/RK0vfM9vOuRdPUZTog2EgLO1+bdn7Sb7heIpXQKqrJuCCw4nHqP/kOY7HUSqKEh2QALL/pNl0/nzSDKHxFq+kumoCLrh48SLtPXiYKrbqrfMDihJjYDlo3S6DzWIO7vuNt3gl1VUTcAHK/fXXJfr+562Us0Jj9kVUFCXyYB6gcN129PPW7ey3C+IxXkl01QRcYOviXOI3V69zPnsgmFzlTIoJrEOPParSjXkFS2DNPVRhynsHpyyauEc8C66sV8BvxN7bNeA+K7HlYwF8K8hhxV/7taBXjkbZW6s/Yr9bm3iNV1y9wagJuCBY99SZszT6qfni/QN4qe9tOtJsRIo1Hmo3le6qP8BxZzQCaI5Gg9k6vMBD7adZ1z+UvTcbpMu4q24ftrwXwD3e53CWNIDRZavdi60j2uAecB420npz1x4M3lkcGD929gL2mw0mnuNVONQEXBCqe+TYCXNMndMhNAAH0WSt0cMcfsFuhY8yxSesMgnEuGu3MbuiLSPDtn2ujlgnHnIH4fzrh9pNZu/tX8rRzcUbULFYPEISKSHGrzYH3fPXfi2ZClal1gPH02mrUcZ9s8HEe7xKDjUBF4Tq4v9v/2MvFanf3rEVDdD9zl6nrznsm/0AogiSjD1gkoyFu49A8EAuGq6OWMf/JrCBio1bYf1G4bPfohdwT8PBTPkoYxkAUkPnaDyMve5QMuSrRFXa9DGbObnvNZR4j1fJYUzAr9nxOFJb90/rv63/9ke6r5xz2mkAI7i7Xn9zuAv7IUQL6wPEATlO+YSuHjjjwd6AzAS8e7xk6emfmPMAuPsKBgewFBr2JltH1LDeJ5x5cH/z0Y6poYHZEFa3nckLxH2rHBqveIwJ6IORkZwuMhS+uvQ9urNYTfaFDcWkabZaOyVjLOtoyakfOY6Zm+yiCU1idlgrHHIT8ObxksXHr6LMDtlCzfnYNXuy5aMGDGDyh/RAi3FJrpcDE8GPVmlOK9Z9zn6nyaHxiseYAApw3QQnUA6VcF0RJ1DOT7qJx47T9PkLxTuKA1lHR5lhGPbDiAIIksjRjt4Kd8026a4cpOO13oAxAZ+mkkbK71zdZrP3FAyyhebv/zJbR3SwDMDqFeds4zSPEQAGcH+5RvT84uXsNxoOjVc8agIucNI9dOQoDZwyx/l84itgaCVnq4lmMo//QCJPwpQ1lM3puD6rN3BL8UZUfIK35gZ8OxxkmTHmAm6xemjcPdng3Is7KrYz5/Ky9UScDab3+XDHGda1OS+usDODjp/7Ev3zzz/sNxoOjVc8agIukOjuO3iI2gyaYHYvci9yKFgTjSVxsWIEOCazwMBXHHsDpifTfJQJrFw9sYhfh4NwzOKDbaey9xNM+kI1KU+v59g6Ig8MYC092mmW47sGYAAYbu074Slfxo3kiISumoALpLqB1NODzeoF7oUOJV3+amZ4JVZOJgv0Bnqy1xpMhsK1zWQyV0cs4svhIKsXUHTMMspYpA57PzboBdxZpSNfR6QxcwBrzJ4AzFFw1xsMDOC2wtWtxtV4Onn6tG/jBkckdNUEXCDVRfKq33buphodBoiNINCyHm1aR+yHE0ECwXIh3Zgv/Ea4wEqnAVRmhjcO2Zf1BLxlAhhOubfZSPZegsFcQL6+C9g6IoplACUmfUA5W00QDwFhnq1FvzF05OgxX8cNjkjoqgm4wI0ujGDrjl1mHbM066hZv91gYEysvMES1rvq9UtyjaGkL1iTHhv4KltHrOE3E8D9FBz6hpmo5+7FxhwiX72L9fdRnsi3DABnA9/XdIRoGahtAI/3HW3m2/Bd+T1uhBIJXTUBF7jVPXfuHG3+bQdVaNnThRFUNEMx2DSDj4b9mCIAJg8LD3/TMQ+NmWys1METB9L7zQSwrl42bFfHuu/oGnUZ613G5PXd9fuz1xgKDCBzwarUtNfIqwYA4iFuBBMJXTUBF6REF0aAzIaVWvcWDw1hnDRLtS5UbPxK8/FwH1UkwFADdpaG30VsH0g/1yoT20tGA8Nc/jCB0jPWU94+L7D3EAzepey1erF1RAo0KIqOedfqjXRjrzEUuwfQrPcoOnDoyDXfU7zEDZtI6KoJuCClujACHHVXtW1fsRGghX17hbZUdPSyqC3pg26REW9T+oLhE3mZVlvp5jG/gcw/JoD8OqvotnIt2Xv4l3ImH1ShYYuZOiIDnnmRUe/Q7RXbMdeXlOAhoIOHE5N8S/EUN0AkdNUEXHA9umDHnn1UrV0/F0ZQnm4t04IKW4EYLT/uI0trsGLpgZbjzMfJXaONSSfRYpz56Ll6YgG/mACWE2NlDXf9wQR2pg9l64gEGCIsOGQRZS7zOHt9oeAdwyqglv3H0uHEf4eAgom3uBEJXTUBF1yv7uXLl2nXvgNm1VDG/LIU1PgwbinekPL1mR+1JaTINnlLCefcSBh7LjT8LbaOWMCYgMfnBNA7Q94fpzTLeG8ylWoSmFti6klTZgU2geXt/bzVE6nLXl8ouF6cz9FqwLhkDQDEY9xIa101ARekhi52Ou45eJjqdxsm3lkMzO5iq0VuMpBGeJ4ALbpHu842q0y4a7Mxq1Cqdjabl7h6oo0fegIlJr1vzgHgrj0YzNM83HE6W0daApPCCqCcrSfSjXmEPV7LALIUr0Udhk426Ve478cmXuMGV68TUl01ARekli6M4OCRY9R28ERxriFgziSo3pWKjV1uBbTIrs3HeP/tldonuaZQsAP6kU4zozaPEQ5ZTyB200aY/EDd59INucMPzWEYEfNJkV6xhSFLjP9nq9mDvS4O5AK6p3R96jfxKTpx8hT77QQTz3HDLVJdYwJ+zY7HEUu6x0+epoFT5tIdRWXZRwGO3MtUqikVGPhqRFvcdjoJjDNz13UVq1WHfPbFxixj64kmchOIwbQRVu+v6OildHOxBux1B4Od3JHdGLbBDFXm7/cSZUqQn70NA3igfCOa+txr7DfDoXFDjlTXmIA+GBlpoXv0+Ama8uyrlLV4bfZDSQ6Tc6jdtCvnEkRmeCiwZHSQ6b5z12RjpyuOtWEh2XBQLPYEArts76rrvHkPu7hxcBFfTxpgmRPmHR7uMN0MWXLXxIHzAHJXa0EvvbOa/V6SQ+OGHKmuMQEU4LoJTqAcKuG6Ik6gnOoGOH7iJC14awXdXaqeaR1xHw0HPnjs6sVywYgMD5nW6Lui1ihM6mEMC1mBl60rCgR6AgvZ67UxJtAjtnoCpS0zfbTLk+z1XoNlzrdYLXEMF3L1pDZIF4L1/3cLdpYHg42TBeu0pQ8//5b9VsKhcUOOVFdNwAVpqXvy1Cla8dFn5rCMdHnDT8AGY5aRlm1BBQa8HJHVQ2ZcuutswaRfOcpYrJ5Z3srVEw28aAK45kJDF5shntBrDQXX/nDHmWw9qYpZ/bPWDP/g3eOuhQM9yJsLVKayzbvTj5u3sd+JExo35Eh11QRckNa6Z86epS+//4mKN+wk3ktgg/QO9z8+1gwbpHWvAFlGcWi+005irBa6s0onM4zE1RNpAibgoTkBK9iil4fd49y1BnMDdplX7ZLm+0nQ+kdPA8dAOiUYDAYGgEUQ9boMod//2OvL7zc5Yl1XTcAFkdC18w3V7DiAMheSj7EC7DK+tWwrk9AtLXsFWPlTeMRbJj89dx3BmA1LjYbGxPyAzARiZYloIN3y/Y+PYa/zGq5Mxhce+Q5TTyphWv8fmdY/doez15EMGOLMnlDHLAHFLmA/f78csa6rJuCCSOkiAynOJOg5doZZP819WOFIV6A6PdDC6hVMfC/NegXYtfpQuylmEpi7hmDM/ECH6VHb9Wwj7wlE3wRg4lhqK0m3bH7v1hPZelIDvENI/nb/46OdV4eFgAngBys2oXFzFtDpM2fN++337zeUWNdVE3BBpHWPHT9Bzyx8x6yjxsfEfWTJYXIPlW9Njw1+zQooaXNqGfYO3Fm1s+NqIYCU0/n6vWgCMVdXJAiYQOzPCWDeBcnhbsrn3BO0h4HS5De+0vovMOAVurVcK1Y/HNgV/1jtNrRszafXvNfx8v3axLqumoALoqF76vRpWvflf8w8gZsdxjYmp0/L8WYZX2pvHjIJ5ka+I0opYVauWH9n0kpYwYWrL63xwpwArhH5dpD4jbu+YGC+mUo2oaJjUn81EN4VM/b/+BjXrX9cF/a+1Ok8iDZt+S3JOx1P3y+IdV01ARdESxfs2nuAWg0YT1lL1Ba1vIPBkEKmUs3MblO03lNziKjMjPVmY5JkjbhZyWS1KDHZydWV1hgTiOG0EUgbjuM6M5cRrLix3oGMRepaPYbn2bpSCt6NEhPes96Vpymz9c6w2mHAyjZsABs4ea45CYx7l+Pt+411XTUBF0Rb9+z5C/TcG8vp4crNXK8eAhg6wAEwBQa9ZjaZpVZqBwxFmFwxgoNzzFkJ1btaZhT5YzTlPYEomIBlAMXGrTSrqbjrCgXzLPe3GMvXlQLwbBImfUj5+79Md1Rub0yG000ONEzQUy3RqBMtef9j9j22idfvl6vXiUjoqgm4IBZ0L//9N/3wy1aq3r6/ybrIfZBOmE1mdfuaFT5mFVEqDM8EDqfvIZrIxPDCPY0GR3zpaMAEYnBOwHr+xa3W9z2NhrDXFAp+P+TnSZXhPUsbvwOOqZScUsZh5/9pO3iCWf7JvcPBxPP365ZI6KoJuCCWdE+dOUvj5r5IOco0SFGvAAT2Fow2Y7/XvYTTCiZFx6wIbB4StCJhBPc2GXYl7QVTXxog7wlE0ASs54bhl3sbD2OvJxRM+N9Wvo3J1MnWJ8XSxQov7ADHQfVuUj7YoPWPzV/5a7a2eqjL2HeXQ79fOZHQVRNwQazp/nXpEn35wybTK7izWC3XcwXAfMjF6tFDHZ4wrdFS01NuBgiyyHV/c7H6rFYo5mD9+gMjZgQxNxxkegCrKYfUAK4kDyw8Yglfn4Qrwb/Y2BWUs81kcwYEp+UExv7vLduA2gwab/a1cO9tcuj3KycSumoCLohV3TPnztOsl940cwVomXEfrRMIMLckNKGHO84w+wsQKNgg4gD2AuTr84IZs+Z0QjFG0HBQRIwgloaDMAlcfPxKuqfBQPY6kmDMun7Ks4Mi+E9D8F9OD7adQjeXaMTrOIBGA4YhSzbpQotXrmXfVyf0+5UTCV1jAn7NjsfhV91Lly7Tz9t2UPO+YyhbiTqu9xXYwAyw+/TBdlPMRKVZf24FEDawJAN6E0ged1M+2ZJWjHHfXa+/mVfg6kstYmU4CAaAlnj2Or3Za0hKOcpQqBY9koJDYqCFeR8kesvZagJlLOK89DQ5MOyIhsbgafPo4JGjvvyOksPPusYE9MHI8ILuyVOn6fV3P6CiDTpQ5oLux3lt0OLD0YA5W403AaSkywlk/P19zUaalj5XfyiB9NM9TO4jt6YjJRaGg7Aiq+joZWaFFKeflHLmlLB7mw539VyggwnfIiOXWL/DKFECuuSw0z7U7jSIPvnqe/Oe+f07CsXPusYEUIDrJjiBcqiE64o4gXKqK8OtLvIP7di9l/pPmk05ytRP8cSxwTID7Pa9r+lIc2oUAguCKRd4QkGmSYz5o6XP1h2COTmtRncqbvVApBpuiPZwENbgYx9AFuEyUGMABarRPQ0Hi1cCQQNDa4WHv2WMI71lIHzdzqAhgGWfmPid++qSa07+iofvKBg/66oJuMBruqfPnKHP//NfqtN5sNWSq+sqRTUHctTkaDzUbLhKsFrsyHPvdKANAhIOQ5EagUmCV641FRq2ONVzDcl7AqltAoHJ2PwDXjYTu5wuhzGABgOt5+BgABjyserHXA5Of7u7/gDxUByH6QXmr0Q5KzSmLiOm0radfyR5t+LpOwJ+1lUTcIFXdc+cPUeLVqyl0s260Z3Faro6uIYDm85whu0jHWeYiUYEeqQYZgOURcKkNZS9dm+xEdi7YfP0fDZV9xLITSAVh4OsAI0hrkc6zzLDOpwmB5Zs3lWvf1gDgEliHgU9tAfbTKZby7a0TNT9CrFg0uWpYHqPDboNpY82fMu+UyAevyO/6qoJuMDrulhF9NTLb1HeGi3ptsIpHya4ihWs01lBE8EKq1aQnyi5iWQYRfbafeRGYIHWbI4mw1Pt5LRIDwchSGP83+3JW+lsA2D2bmCsHxO9eCZIGZGtdi/z91w9bsBCAiwoKPd4d3pr9UfsuxRMPH9Hbol1XTUBF/hBF/9/78EjNHLWC/RA+cZmuR+6/1xgcIPJT1SyqVmBgslI5CjCEAVWp9gBzBhB3b5moxhXB4fJN1TmcSow4CUT/IIDolsiZgLWPeP+8/R+zhz3GKqRPIE5AAznBG/eCwT+j02PAsNk9zUf47Le5EHLH+dbl2jUmZ5ZuNScec29R6HE+3fkhljXVRNwgZ90//77f7R7/yEa89QCc6QlzOB6h4lsMMGLHDgPtZtqjpcsMQk9hHWmNY/hnRyNhrjeoWrvbr6ebKhpPyewwbq2T0zrH3sfuPqTxTJiaGPjGIaAMLyGZ4VxfgR+mOsdFdtZv9H1zevYIPhnK1GbSjbuQs8uWppssrfk0O9ITqzrqgm4wI+6+Ld9h47QuDkvUb4arcycwfVOIAeDid7MVksey0Xz93/R7ErG/oOUpCoIZENtQrm7P52ibKhpOSeAoR/s/sXYP+YzuLqTBQZQsKaZdEdrH88Hw2v3NhlOmUs3u+5xfpvAhG9lurtUPSrfoie9/M5qOnHq3xU/btDvSE6s66oJuMDPuvibw0eP0+xX3qYyzbvTXSXrmhUiXDBJMVYQwnr1u+r2p0c6zQi0llMwFGUykVbtYjJemlVK4uWTqTwcdGVVTvHxqylPr2etlnp7tk4nsJcie50+9GjX2WYCPX0h96fJhQPBP3OhaibFc8Mew2nph5/SxT//8vX7zKG6PGoCLogX3QsX/6Rla9ZTo57DTX4Yt2cdi7GCk5uJ4lBwkD1WKT3aZbZJwhbYw5B87yC1TABnKGB+A5vocMSm2zN3k3CdzyE5MNmLnFK5q7WgPhOeom9/2nzN7xwv77ON6vKoCbgg3nT//Osv+vrHTdR7/CzTiryjaI0Up6NIS5DqImPR+pSjyTDKP+AVM28AQwjdZ5ByE8BY/6cm8GNVTr6+800q7vQFU5bKOy1Bqx+bA9GTS2jchZ58+S3adyiR/X3j7X1WXR41ARfEq669A/mJ5183h4YghUBKE9WlNZiDwCol7JbFOb0YpzcrlaatM0M3TnMCWPKau8e8QNC3jATDTdgLgZO27q43wORV4spFG5gzlv1ixVf9bsPo3Y8+o/MXL7K/q028vs9cvU74WVdNwAWqe8GkDnj7vXXUeuB4s6MUhoDUAqmxzDTVsa4Ju5zvrNKR7ms+inJ1e5oe7fIU/7dXwBLNnK0mWX87l+5tPJRuq9DG1ZLWSIIJfAR+DNlhieeoJ+fTdz9vYX9LDn2f5fhZV03ABar7L+fPn6cDh47Qm6s+ok7Dp1C+mq3MEESmx6qm2lJTJSlY2onlvPeVbUilm3al0U++YM6UuHT5b/Y3DIe+z3L8rGtMwK/Z8ThUV44bXWQvfXfteuo1diYVqNXGLEO8tVC1mJxD8BL2GD/mYzAvU6FlT5o07xUzV4Pn7vf3KhTVlSPVNSagD0aG6so4c+4crfn8Gxo4ZS4Vrd/BDFdg/wHmEWJy2CjGgHFiSSfSODxUqSnV7DiAnnzpTfppy/Ykv0c8vVdAdeVIdY0JoADXTXAC5VAJ1xVxAuVUV4aXdU+eOkVf/fATzVzwBjXuOcLsTkYvAWPZ2LjEBcF4A8NnmQpWpawlatP95RpRicadzZLOt977mHYfOMQ+X5t4fa+4ep1QXR41AReorhxOF/MIhxOP0qqPN9CYp+ZT3c6DTUsXWSuzFK9lJpgx5s0FSr+AnhA24WGoDJPqGOLBAUCdhk+l5xcvp41Wa597nsmh75Uc1eVRE3CB6sqR6qKngDMPnn5tCXUZOZXKNu9OD1ZsYoaQcAYCJkExjOS1yWYE+/R5K5oWPsbzMWmOydw81VtQ/a5Dafj0Z+nNVWvp1+07ff37cqiunEjoqgm4QHXlpFQXvYVjJ07Sd5u20OJVH5mcRi36jaXC9dqbJan3lK5vhk3QkoY5oOcQTYPA+D0mbtGLgWGhdX9vmQZm2Ktiy17UdeQTNGP+Ilq+dj39su139p7j6fcFqisnErpqAi5QXTmprYusp4cSj5lew4K3V9GQJ+bR4/3GUOXWfahgnbbmAHSYBFrbMAoEYwwxITDjrGUYhhsQ1DE5i/KY1MYkLVrzGLrCuD16K7mqPm525dbuPIg6DptCE55+iRavXEvfb/qVjp88yd4bh/6+clRXjlRXTcAFqisn0rowif2HE80KmnVf/MfqRaylea+/YwJzv4lPUdtBE6hF/zGOtBo4jloPGk9trL/vOXYmjX5qvkmq9/ryD+n99V/Ttxs30/Y/9lq9lVPX6MfLc7ZRXTmxrqsm4ALVlaO6clRXjurKkeqqCbhAdeWorhzVlaO6cqS6agIuUF05qitHdeWorhyprpqAC1RXjurKUV05qitHqqsm4ALVlaO6clRXjurKkeqqCbhAdeWorhzVlaO6cqS6agIuUF05qitHdeWorhyprjEBv2bH41BdOaorR3XlqK6cSOgaE9AHI0N15aiuHNWVo7pypLrGBFCA6yY4gXKohOuKOIFyqitDdeWorhzVleNnXTUBF6iuHNWVo7pyVFeOVFdNwAWqK0d15aiuHNWVI9VVE3CB6spRXTmqK0d15Uh11QRcoLpyVFeO6spRXTlSXTUBF6iuHNWVo7pyVFeOVFdNwAWqK0d15aiuHNWVI9VVE3CB6spRXTmqK0d15Uh11QRcoLpyVFeO6spRXTlSXTUBF6iuHNWVo7pyVFeOVFdNwAWqK0d15aiuHNWVI9VVE3CB6spRXTmqK0d15Uh11QRcoLpyVFeO6spRXTlSXWMCfs2Ox6G6clRXjurKUV05kdA1JqAPRobqylFdOaorR3XlSHWNCaAA101wAuVQCdcVcQLlVFeG6spRXTmqK8fPumoCLlBdOaorR3XlqK4cqa6agAtUV47qylFdOaorR6qrJuAC1ZWjunJUV47qypHqqgm4QHXlqK4c1ZWjunKkumoCLlBdOaorR3XlqK4cqa6agAtUV47qylFdOaorR6qrJuAC1ZWjunJUV47qypHqqgm4QHXlqK4c1ZWjunKkumoCLlBdOaorR3XlqK4cqa6agAtUV47qylFdOaorR6qrJuAC1ZWjunJUV47qypHqqgm4QHXlqK4c1ZWjunKkusYE/Jodj0N15aiuHNWVo7pyIqFrTEAfjAzVlaO6clRXjurKkeoaE0ABrpvgBMqhEq4r4gTKqa4M1ZWjunJUV46fddUEXKC6clRXjurKUV05Ul01AReorhzVlaO6clRXjlRXTcAFqitHdeWorhzVlSPVVRNwgerKUV05qitHdeVIddUEXKC6clRXjurKUV05Ul01AReorhzVlaO6clRXjlRXTcAFqitHdeWorhzVlSPVNSagKIqixCf/j3MQRVEUJR74P/r/T/I0iJMTx7EAAAAASUVORK5CYII="
  859. }