{"group":{"group":{"id":55353,"name":"Are You Smarter Than a MathWorker?","lockable":false,"created_at":"2022-10-24T13:08:30.000Z","updated_at":"2024-12-29T00:26:56.000Z","description":"As part of the Cody 10th Anniversary contest, pit your wits against these problems. Some are tricky. Some are simple to do, but tricky to do nicely. \nShow off your MATLAB skills!","is_default":false,"created_by":287,"badge_id":62,"featured":false,"trending":false,"solution_count_in_trending_period":4,"trending_last_calculated":"2024-12-29T00:00:00.000Z","image_id":4983,"published":true,"community_created":true,"status_id":2,"is_default_group_for_player":false,"deleted_by":null,"deleted_at":null,"restored_by":null,"restored_at":null,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAs part of the Cody 10th Anniversary contest, pit your wits against these problems. Some are tricky. Some are simple to do, but tricky to do nicely. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eShow off your MATLAB skills!\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 72px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 289.5px 36px; transform-origin: 289.5px 36px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 266.5px 21px; text-align: left; transform-origin: 266.5px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eAs part of the Cody 10th Anniversary contest, pit your wits against these problems. Some are tricky. Some are simple to do, but tricky to do nicely. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 266.5px 10.5px; text-align: left; transform-origin: 266.5px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eShow off your MATLAB skills!\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","published_at":"2022-10-24T13:37:53.000Z"},"current_player":null},"problems":[{"id":56283,"title":"Determine if Input is Oddish or Evenish (Odd/Even Sum of Digits)","description":"Given a positive integer n, determine whether n is \"oddish\" or \"evenish\" - that is, whether the sum of the digits of n is odd or even. Return 1 for odd(ish), 2 for even(ish).\r\noe = oddorevendigitsum(34093)\r\noe =\r\n 1\r\n\r\noe = oddorevendigitsum(39482)\r\noe =\r\n 2\r\nIn the first example, 3+4+0+9+3 = 19, which is odd. In the second, 3+9+4+8+2 = 26, which is even.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 226.533px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 113.267px; transform-origin: 407px 113.267px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21.25px; text-align: left; transform-origin: 384px 21.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 76.5px 8px; transform-origin: 76.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a positive integer \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 64.5px 8px; transform-origin: 64.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, determine whether \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 205px 8px; transform-origin: 205px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e is \"oddish\" or \"evenish\" - that is, whether the sum of the digits of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 23px 8px; transform-origin: 23px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e is odd or even. Return 1 for odd(ish), 2 for even(ish).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 143.033px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 71.5167px; transform-origin: 404px 71.5167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 116px 8.5px; tab-size: 4; transform-origin: 116px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eoe = oddorevendigitsum(34093)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 16px 8.5px; tab-size: 4; transform-origin: 16px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eoe =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 24px 8.5px; tab-size: 4; transform-origin: 24px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 1\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.5px; tab-size: 4; transform-origin: 0px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 116px 8.5px; tab-size: 4; transform-origin: 116px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eoe = oddorevendigitsum(39482)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 16px 8.5px; tab-size: 4; transform-origin: 16px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eoe =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 24px 8.5px; tab-size: 4; transform-origin: 24px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 2\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 308px 8px; transform-origin: 308px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIn the first example, 3+4+0+9+3 = 19, which is odd. In the second, 3+9+4+8+2 = 26, which is even.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function oe = oddorevendigitsum(n)\r\n\r\noe = n;\r\n\r\nend","test_suite":"%% 1 digit\r\nassert( oddorevendigitsum(10) == 1 )\r\nassert( oddorevendigitsum(4) == 2 )\r\nassert( oddorevendigitsum(1) == 1 )\r\nassert( oddorevendigitsum(3) == 1 )\r\nassert( oddorevendigitsum(7) == 1 )\r\nassert( oddorevendigitsum(6) == 2 )\r\n%% 2 digits\r\nassert( oddorevendigitsum(27) == 1 )\r\nassert( oddorevendigitsum(57) == 2 )\r\nassert( oddorevendigitsum(76) == 1 )\r\nassert( oddorevendigitsum(17) == 2 )\r\nassert( oddorevendigitsum(95) == 2 )\r\nassert( oddorevendigitsum(44) == 2 )\r\nassert( oddorevendigitsum(41) == 1 )\r\nassert( oddorevendigitsum(51) == 2 )\r\nassert( oddorevendigitsum(50) == 1 )\r\n%% 3 digits\r\nassert( oddorevendigitsum(864) == 2 )\r\nassert( oddorevendigitsum(309) == 2 )\r\nassert( oddorevendigitsum(442) == 2 )\r\nassert( oddorevendigitsum(419) == 2 )\r\nassert( oddorevendigitsum(455) == 2 )\r\nassert( oddorevendigitsum(192) == 2 )\r\nassert( oddorevendigitsum(413) == 2 )\r\nassert( oddorevendigitsum(740) == 1 )\r\n%% 4 digits\r\nassert( oddorevendigitsum(6285) == 1 )\r\nassert( oddorevendigitsum(7964) == 2 )\r\nassert( oddorevendigitsum(5599) == 2 )\r\nassert( oddorevendigitsum(7059) == 1 )\r\nassert( oddorevendigitsum(2284) == 2 )\r\nassert( oddorevendigitsum(3985) == 1 )\r\n%% 5 digits\r\nassert( oddorevendigitsum(31562) == 1 )\r\nassert( oddorevendigitsum(25223) == 2 )\r\nassert( oddorevendigitsum(13151) == 1 )\r\nassert( oddorevendigitsum(55101) == 2 )\r\nassert( oddorevendigitsum(31652) == 1 )\r\nassert( oddorevendigitsum(30389) == 1 )\r\nassert( oddorevendigitsum(65869) == 2 )\r\nassert( oddorevendigitsum(40844) == 2 )\r\n%% Randomly generated oddish numbers\r\nfor k = 1:30\r\n n = 2*randi(4)-1; % An odd number of digits\r\n d = 2*randi(5,1,n) - 1; % n odd numbers\r\n n = sum(d.*10.^(0:n-1)); % Turn into an n-digit number\r\n oe = oddorevendigitsum(n); % Odd number of odd digits =\u003e\r\n assert( oe == 1 ) % must be oddish\r\nend\r\n%% Randomly generated evenish numbers\r\nfor k = 1:30\r\n n = randi(8);\r\n d = 2*randi([0 4],1,n); % n even numbers\r\n n = sum(d.*10.^(0:n-1)); % Turn into an n-digit number\r\n oe = oddorevendigitsum(n); % All even digits =\u003e\r\n assert( oe == 2 ) % must be evenish\r\nend","published":true,"deleted":false,"likes_count":8,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2022-10-24T13:17:12.000Z","deleted_by":null,"deleted_at":null,"solvers_count":301,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-10-12T17:26:37.000Z","updated_at":"2024-12-26T09:13:32.000Z","published_at":"2022-10-24T13:17:12.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a positive integer \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, determine whether \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is \\\"oddish\\\" or \\\"evenish\\\" - that is, whether the sum of the digits of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is odd or even. Return 1 for odd(ish), 2 for even(ish).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[oe = oddorevendigitsum(34093)\\noe =\\n 1\\n\\noe = oddorevendigitsum(39482)\\noe =\\n 2]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn the first example, 3+4+0+9+3 = 19, which is odd. In the second, 3+9+4+8+2 = 26, which is even.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":56190,"title":"Split Even Number Into Two Primes","description":"Given an even whole number n (\u003e 2), return a 2-element vector of primes, p, such that p(1) + p(2) = n. The elements of p should be in increasing numerical order (that is, p(1) \u003c= p(2)).\r\nFun note: technically it cannot be guaranteed that such primes exist for any n. However, although Goldbach's Conjecture has not been formally proven, it has been verified for all n well beyond any you'll face in this problem.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 93px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 46.5px; transform-origin: 407px 46.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 94px 8px; transform-origin: 94px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven an even whole number \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 136px 8px; transform-origin: 136px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e (\u0026gt; 2), return a 2-element vector of primes, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ep\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 35px 8px; transform-origin: 35px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, such that \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 46px 8px; transform-origin: 46px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ep(1) + p(2) = n\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 57px 8px; transform-origin: 57px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e. The elements of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ep\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e should be in increasing numerical order (that is, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ep\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 21px 8px; transform-origin: 21px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e(1) \u0026lt;= \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ep\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 13.5px 8px; transform-origin: 13.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e(2)).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 239px 8px; transform-origin: 239px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFun note: technically it cannot be guaranteed that such primes exist for any \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 64px 8px; transform-origin: 64px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e. However, although \u003c/span\u003e\u003c/span\u003e\u003ca target='_blank' href = \"https://en.wikipedia.org/wiki/Goldbach's_conjecture\"\u003e\u003cspan style=\"text-decoration-line: none; \"\u003e\u003cspan style=\"\"\u003eGoldbach's Conjecture \u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 177.5px 8px; transform-origin: 177.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003ehas not been formally proven, it has been verified for all \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 136px 8px; transform-origin: 136px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e well beyond any you'll face in this problem.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function p = goldbach(n)\r\n p = n;\r\nend","test_suite":"%%\r\nn = 4;\r\nassert(isequal(goldbach(n),[2 2]))\r\n\r\n%%\r\nn = 8;\r\nassert(isequal(goldbach(n),[3 5]))\r\n\r\n%%\r\nn = 18;\r\nassert(isequal(goldbach(n),[7 11]) || isequal(goldbach(n),[5 13]))\r\n\r\n%%\r\nn = 50;\r\np = goldbach(n);\r\nassert(all(isprime(p)) \u0026\u0026 sum(p)==50)\r\n\r\n%% \r\nfor k = 1:50\r\n % Make random even integer\r\n n = 2*randi([2 5000]);\r\n % Get proposed solution\r\n p = goldbach(n);\r\n % Check solution\r\n assert( (numel(p) == 2) \u0026\u0026 all(isprime(p)) \u0026\u0026 (sum(p) == n) \u0026\u0026 (p(2)\u003e=p(1)) )\r\nend","published":true,"deleted":false,"likes_count":6,"comments_count":5,"created_by":571375,"edited_by":287,"edited_at":"2024-02-23T16:39:09.000Z","deleted_by":null,"deleted_at":null,"solvers_count":194,"test_suite_updated_at":"2024-02-23T16:37:47.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-30T18:04:09.000Z","updated_at":"2024-02-23T16:39:09.000Z","published_at":"2022-10-24T13:14:06.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven an even whole number \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (\u0026gt; 2), return a 2-element vector of primes, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ep\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, such that \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ep(1) + p(2) = n\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. The elements of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ep\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e should be in increasing numerical order (that is, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ep\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e(1) \u0026lt;= \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ep\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr/\u003e\u003cw:t\u003e(2)).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFun note: technically it cannot be guaranteed that such primes exist for any \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. However, although \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"https://en.wikipedia.org/wiki/Goldbach's_conjecture\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eGoldbach's Conjecture \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003ehas not been formally proven, it has been verified for all \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e well beyond any you'll face in this problem.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":56195,"title":"Possible Rugby Scores","description":"Given a natural number s (\u003e 4), representing a rugby team's score, return an n-by-3 matrix representing all n possible combinations of tries, conversions, and penalties (or drop goals) that would result in such a score. The first column of the matrix represents the number of tries, the second column the number of conversions, the third column the number of penalties or drop goals. The order of the rows is not important, as long as all possibilities are uniquely represented.\r\nIn rugby, a try scores 5 points, a conversion scores 2, and a penalty or drop goal scores 3. However, a conversion can only be attempted after scoring a try. Hence the number of conversions can never be more than the number of tries.\r\ntcp = scorebreakdown(12)\r\n\r\ntcp =\r\n 2 1 0\r\n 0 0 4\r\n \r\nTwo tries = 2*5 = 10 points. One conversion = 2 points. Total = 10 + 2 = 12.\r\nFour penalties = 4*3 = 12 points.\r\nNote that 1 try, 2 conversions, and 1 penalty would total 12 points, but is not allowed because it is not possible to have more conversions than tries.\r\n(This problem can be treated as finding all integer linear combinations of 5, 2, and 3, such that 5a + 2b + 3c = s, but with a restriction: b \u003c= a.)","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 431.1px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 215.55px; transform-origin: 407px 215.55px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 84.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 42.25px; text-align: left; transform-origin: 384px 42.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 76.5px 8px; transform-origin: 76.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a natural number \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003es\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 164px 8px; transform-origin: 164px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e (\u0026gt; 4), representing a rugby team's score, return an \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 90px 8px; transform-origin: 90px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e-by-3 matrix representing all \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 30px 8px; transform-origin: 30px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e possible combinations of tries, conversions, and penalties (or drop goals) that would result in such a score. The first column of the matrix represents the number of tries, the second column the number of conversions, the third column the number of penalties or drop goals. The order of the rows is not important, as long as all possibilities are uniquely represented.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 373.5px 8px; transform-origin: 373.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIn rugby, a try scores 5 points, a conversion scores 2, and a penalty or drop goal scores 3. However, a conversion can only be attempted after scoring a try. Hence the number of conversions can never be more than the number of tries.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 122.6px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 61.3px; transform-origin: 404px 61.3px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 96px 8.5px; tab-size: 4; transform-origin: 96px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003etcp = scorebreakdown(12)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.5px; tab-size: 4; transform-origin: 0px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 20px 8.5px; tab-size: 4; transform-origin: 20px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003etcp =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 72px 8.5px; tab-size: 4; transform-origin: 72px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 2 1 0\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 72px 8.5px; tab-size: 4; transform-origin: 72px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 0 0 4\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 20px 8.5px; tab-size: 4; transform-origin: 20px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 235.5px 8px; transform-origin: 235.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eTwo tries = 2*5 = 10 points. One conversion = 2 points. Total = 10 + 2 = 12.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 103px 8px; transform-origin: 103px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFour penalties = 4*3 = 12 points.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 373px 8px; transform-origin: 373px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eNote that 1 try, 2 conversions, and 1 penalty would total 12 points, but is not allowed because it is not possible to have more conversions than tries.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 384px 8px; transform-origin: 384px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e(This problem can be treated as finding all integer linear combinations of 5, 2, and 3, such that 5a + 2b + 3c = s, but with a restriction: b \u0026lt;= a.)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function tcp = scorebreakdown(s)\r\n\r\ntcp = [s/5,s/2,s/3];\r\n\r\nend","test_suite":"%% s = 57\r\ntcp = scorebreakdown(57);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 19;2 1 15;3 0 14;3 3 12;4 2 11;5 1 10;5 4 8;6 0 9;6 3 7;6 6 5;7 2 6;7 5 4;8 1 5;8 4 3;8 7 1;9 0 4;9 3 2;9 6 0;10 2 1;11 1 0]) )\r\n%% s = 33\r\ntcp = scorebreakdown(33);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 11;2 1 7;3 0 6;3 3 4;4 2 3;5 1 2;5 4 0;6 0 1]) )\r\n%% s = 55\r\ntcp = scorebreakdown(55);\r\nassert( isequal(sortrows(tcp,1:3),[1 1 16;2 0 15;3 2 12;4 1 11;4 4 9;5 0 10;5 3 8;6 2 7;6 5 5;7 1 6;7 4 4;7 7 2;8 0 5;8 3 3;8 6 1;9 2 2;9 5 0;10 1 1;11 0 0]) )\r\n%% s = 41\r\ntcp = scorebreakdown(41);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 12;2 2 9;3 1 8;4 0 7;4 3 5;5 2 4;5 5 2;6 1 3;6 4 1;7 0 2;7 3 0]) )\r\n%% s = 21\r\ntcp = scorebreakdown(21);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 7;2 1 3;3 0 2;3 3 0]) )\r\n%% s = 17\r\ntcp = scorebreakdown(17);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 4;2 2 1;3 1 0]) )\r\n%% s = 27\r\ntcp = scorebreakdown(27);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 9;2 1 5;3 0 4;3 3 2;4 2 1;5 1 0]) )\r\n%% s = 28\r\ntcp = scorebreakdown(28);\r\nassert( isequal(sortrows(tcp,1:3),[1 1 7;2 0 6;3 2 3;4 1 2;4 4 0;5 0 1]) )\r\n%% s = 9\r\ntcp = scorebreakdown(9);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 3]) )\r\n%% s = 14\r\ntcp = scorebreakdown(14);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 3;2 2 0]) )\r\n%% s = 20\r\ntcp = scorebreakdown(20);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 5;2 2 2;3 1 1;4 0 0]) )\r\n%% s = 46\r\ntcp = scorebreakdown(46);\r\nassert( isequal(sortrows(tcp,1:3),[1 1 13;2 0 12;3 2 9;4 1 8;4 4 6;5 0 7;5 3 5;6 2 4;6 5 2;7 1 3;7 4 1;8 0 2;8 3 0]) )\r\n%% s = 8\r\ntcp = scorebreakdown(8);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 1]) )\r\n%% s = 31\r\ntcp = scorebreakdown(31);\r\nassert( isequal(sortrows(tcp,1:3),[1 1 8;2 0 7;3 2 4;4 1 3;4 4 1;5 0 2;5 3 0]) )\r\n%% s = 42\r\ntcp = scorebreakdown(42);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 14;2 1 10;3 0 9;3 3 7;4 2 6;5 1 5;5 4 3;6 0 4;6 3 2;6 6 0;7 2 1;8 1 0]) )\r\n%% s = 5\r\ntcp = scorebreakdown(5);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 0]) )\r\n%% s = 56\r\ntcp = scorebreakdown(56);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 17;2 2 14;3 1 13;4 0 12;4 3 10;5 2 9;5 5 7;6 1 8;6 4 6;7 0 7;7 3 5;7 6 3;8 2 4;8 5 2;8 8 0;9 1 3;9 4 1;10 0 2;10 3 0]) )\r\n%% s = 36\r\ntcp = scorebreakdown(36);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 12;2 1 8;3 0 7;3 3 5;4 2 4;5 1 3;5 4 1;6 0 2;6 3 0]) )\r\n%% s = 60\r\ntcp = scorebreakdown(60);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 20;2 1 16;3 0 15;3 3 13;4 2 12;5 1 11;5 4 9;6 0 10;6 3 8;6 6 6;7 2 7;7 5 5;8 1 6;8 4 4;8 7 2;9 0 5;9 3 3;9 6 1;10 2 2;10 5 0;11 1 1;12 0 0]) )\r\n%% s = 43\r\ntcp = scorebreakdown(43);\r\nassert( isequal(sortrows(tcp,1:3),[1 1 12;2 0 11;3 2 8;4 1 7;4 4 5;5 0 6;5 3 4;6 2 3;6 5 1;7 1 2;7 4 0;8 0 1]) )\r\n%% s = 62\r\ntcp = scorebreakdown(62);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 19;2 2 16;3 1 15;4 0 14;4 3 12;5 2 11;5 5 9;6 1 10;6 4 8;7 0 9;7 3 7;7 6 5;8 2 6;8 5 4;8 8 2;9 1 5;9 4 3;9 7 1;10 0 4;10 3 2;10 6 0;11 2 1;12 1 0]) )\r\n%% s = 69\r\ntcp = scorebreakdown(69);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 23;2 1 19;3 0 18;3 3 16;4 2 15;5 1 14;5 4 12;6 0 13;6 3 11;6 6 9;7 2 10;7 5 8;8 1 9;8 4 7;8 7 5;9 0 8;9 3 6;9 6 4;9 9 2;10 2 5;10 5 3;10 8 1;11 1 4;11 4 2;11 7 0;12 0 3;12 3 1;13 2 0]) )\r\n%% s = 63\r\ntcp = scorebreakdown(63);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 21;2 1 17;3 0 16;3 3 14;4 2 13;5 1 12;5 4 10;6 0 11;6 3 9;6 6 7;7 2 8;7 5 6;8 1 7;8 4 5;8 7 3;9 0 6;9 3 4;9 6 2;9 9 0;10 2 3;10 5 1;11 1 2;11 4 0;12 0 1]) )\r\n%% s = 71\r\ntcp = scorebreakdown(71);\r\nassert( isequal(sortrows(tcp,1:3),[1 0 22;2 2 19;3 1 18;4 0 17;4 3 15;5 2 14;5 5 12;6 1 13;6 4 11;7 0 12;7 3 10;7 6 8;8 2 9;8 5 7;8 8 5;9 1 8;9 4 6;9 7 4;10 0 7;10 3 5;10 6 3;10 9 1;11 2 4;11 5 2;11 8 0;12 1 3;12 4 1;13 0 2;13 3 0]) )\r\n%% s = 81\r\ntcp = scorebreakdown(81);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 27;2 1 23;3 0 22;3 3 20;4 2 19;5 1 18;5 4 16;6 0 17;6 3 15;6 6 13;7 2 14;7 5 12;8 1 13;8 4 11;8 7 9;9 0 12;9 3 10;9 6 8;9 9 6;10 2 9;10 5 7;10 8 5;11 1 8;11 4 6;11 7 4;11 10 2;12 0 7;12 3 5;12 6 3;12 9 1;13 2 4;13 5 2;13 8 0;14 1 3;14 4 1;15 0 2;15 3 0]) )\r\n%% s = 123\r\ntcp = scorebreakdown(123);\r\nassert( isequal(sortrows(tcp,1:3),[0 0 41;2 1 37;3 0 36;3 3 34;4 2 33;5 1 32;5 4 30;6 0 31;6 3 29;6 6 27;7 2 28;7 5 26;8 1 27;8 4 25;8 7 23;9 0 26;9 3 24;9 6 22;9 9 20;10 2 23;10 5 21;10 8 19;11 1 22;11 4 20;11 7 18;11 10 16;12 0 21;12 3 19;12 6 17;12 9 15;12 12 13;13 2 18;13 5 16;13 8 14;13 11 12;14 1 17;14 4 15;14 7 13;14 10 11;14 13 9;15 0 16;15 3 14;15 6 12;15 9 10;15 12 8;15 15 6;16 2 13;16 5 11;16 8 9;16 11 7;16 14 5;17 1 12;17 4 10;17 7 8;17 10 6;17 13 4;17 16 2;18 0 11;18 3 9;18 6 7;18 9 5;18 12 3;18 15 1;19 2 8;19 5 6;19 8 4;19 11 2;19 14 0;20 1 7;20 4 5;20 7 3;20 10 1;21 0 6;21 3 4;21 6 2;21 9 0;22 2 3;22 5 1;23 1 2;23 4 0;24 0 1]) )\r\n%% s = 145\r\ntcp = scorebreakdown(145);\r\nassert( isequal(sortrows(tcp,1:3),[1 1 46;2 0 45;3 2 42;4 1 41;4 4 39;5 0 40;5 3 38;6 2 37;6 5 35;7 1 36;7 4 34;7 7 32;8 0 35;8 3 33;8 6 31;9 2 32;9 5 30;9 8 28;10 1 31;10 4 29;10 7 27;10 10 25;11 0 30;11 3 28;11 6 26;11 9 24;12 2 27;12 5 25;12 8 23;12 11 21;13 1 26;13 4 24;13 7 22;13 10 20;13 13 18;14 0 25;14 3 23;14 6 21;14 9 19;14 12 17;15 2 22;15 5 20;15 8 18;15 11 16;15 14 14;16 1 21;16 4 19;16 7 17;16 10 15;16 13 13;16 16 11;17 0 20;17 3 18;17 6 16;17 9 14;17 12 12;17 15 10;18 2 17;18 5 15;18 8 13;18 11 11;18 14 9;18 17 7;19 1 16;19 4 14;19 7 12;19 10 10;19 13 8;19 16 6;19 19 4;20 0 15;20 3 13;20 6 11;20 9 9;20 12 7;20 15 5;20 18 3;21 2 12;21 5 10;21 8 8;21 11 6;21 14 4;21 17 2;21 20 0;22 1 11;22 4 9;22 7 7;22 10 5;22 13 3;22 16 1;23 0 10;23 3 8;23 6 6;23 9 4;23 12 2;23 15 0;24 2 7;24 5 5;24 8 3;24 11 1;25 1 6;25 4 4;25 7 2;25 10 0;26 0 5;26 3 3;26 6 1;27 2 2;27 5 0;28 1 1;29 0 0]) )\r\n%% Some random checks\r\nfor k = 1:20\r\n s = randi([5 145]);\r\n tcp = scorebreakdown(s);\r\n assert( all(tcp(:,1) \u003e= tcp(:,2)) )\r\n assert( all(tcp*[5;2;3] == s) )\r\nend","published":true,"deleted":false,"likes_count":7,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2022-10-24T13:06:10.000Z","deleted_by":null,"deleted_at":null,"solvers_count":102,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-30T18:06:54.000Z","updated_at":"2022-10-24T13:06:10.000Z","published_at":"2022-10-24T13:06:10.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a natural number \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003es\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (\u0026gt; 4), representing a rugby team's score, return an \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e-by-3 matrix representing all \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e possible combinations of tries, conversions, and penalties (or drop goals) that would result in such a score. The first column of the matrix represents the number of tries, the second column the number of conversions, the third column the number of penalties or drop goals. The order of the rows is not important, as long as all possibilities are uniquely represented.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn rugby, a try scores 5 points, a conversion scores 2, and a penalty or drop goal scores 3. However, a conversion can only be attempted after scoring a try. Hence the number of conversions can never be more than the number of tries.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[tcp = scorebreakdown(12)\\n\\ntcp =\\n 2 1 0\\n 0 0 4\\n ]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eTwo tries = 2*5 = 10 points. One conversion = 2 points. Total = 10 + 2 = 12.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFour penalties = 4*3 = 12 points.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eNote that 1 try, 2 conversions, and 1 penalty would total 12 points, but is not allowed because it is not possible to have more conversions than tries.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e(This problem can be treated as finding all integer linear combinations of 5, 2, and 3, such that 5a + 2b + 3c = s, but with a restriction: b \u0026lt;= a.)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":56170,"title":"Dartboard Average I","description":"A dartboard arranges the numbers 1 to 20 such that each value is typically flanked by quite different values - for example, 20 is flanked by 1 and 5, 16 by 8 and 7, and so on.\r\nGiven a vector v representing the arrangement of the values 1 to 20, and a target value t, return the average of t and the two values on either side of it in the vector v. Note that a dartboard is circular, so the values in v are assumed to wrap.\r\nFor example, a standard dartboard is represented by\r\nv = [20 1 18 4 13 6 10 15 2 17 3 19 7 16 8 11 14 9 12 5];\r\nIf t = 6, your function should return mean([13 6 10]) = 9.6667.\r\nIf t = 20, it should return mean([5 20 1]) = 8.6667.\r\nThe vector v will always be a permutation of the values 1:20.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 246.933px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 123.467px; transform-origin: 407px 123.467px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 384px 8px; transform-origin: 384px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eA dartboard arranges the numbers 1 to 20 such that each value is typically flanked by quite different values - for example, 20 is flanked by 1 and 5, 16 by 8 and 7, and so on.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 43px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21.5px; text-align: left; transform-origin: 384px 21.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 48px 8px; transform-origin: 48px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a vector \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003ev\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 226.5px 8px; transform-origin: 226.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e representing the arrangement of the values 1 to 20, and a target value \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003et\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 73px 8px; transform-origin: 73px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, return the average of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003et\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and the two values on either side of it in the vector \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003ev\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 158.5px 8px; transform-origin: 158.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e. Note that a dartboard is circular, so the values in \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003ev\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 70px 8px; transform-origin: 70px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e are assumed to wrap.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 167px 8px; transform-origin: 167px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example, a standard dartboard is represented by\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 20.4333px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 228px 8.5px; tab-size: 4; transform-origin: 228px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ev = [20 1 18 4 13 6 10 15 2 17 3 19 7 16 8 11 14 9 12 5];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.75px; text-align: left; transform-origin: 384px 10.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 5.5px 8px; transform-origin: 5.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIf \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 20px 8px; transform-origin: 20px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 20px 8.5px; transform-origin: 20px 8.5px; \"\u003et = 6\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 91px 8px; transform-origin: 91px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, your function should return \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 96px 8px; transform-origin: 96px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 96px 8.5px; transform-origin: 96px 8.5px; \"\u003emean([13 6 10]) = 9.6667\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.75px; text-align: left; transform-origin: 384px 10.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 5.5px 8px; transform-origin: 5.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIf \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003et = 20\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 53.5px 8px; transform-origin: 53.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, it should return \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 92px 8px; transform-origin: 92px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 92px 8.5px; transform-origin: 92px 8.5px; \"\u003emean([5 20 1]) = 8.6667\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.75px; text-align: left; transform-origin: 384px 10.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 36px 8px; transform-origin: 36px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe vector \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003ev\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 150px 8px; transform-origin: 150px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e will always be a permutation of the values 1:20.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function m = avgdart(v,t)\r\n\r\nm = t;\r\n\r\nend","test_suite":"%% Standard dartboard with t = 5\r\nv = [20 1 18 4 13 6 10 15 2 17 3 19 7 16 8 11 14 9 12 5];\r\nassert( abs(avgdart(v,5) - 12.3333) \u003c 1e-3 )\r\n%% Standard dartboard with t = 9\r\nv = [20 1 18 4 13 6 10 15 2 17 3 19 7 16 8 11 14 9 12 5];\r\nassert( abs(avgdart(v,9) - 11.6667) \u003c 1e-3 )\r\n%% Standard dartboard with t = 18\r\nv = [20 1 18 4 13 6 10 15 2 17 3 19 7 16 8 11 14 9 12 5];\r\nassert( abs(avgdart(v,18) - 7.6667) \u003c 1e-3 )\r\n%% Standard dartboard with t = 6\r\nv = [20 1 18 4 13 6 10 15 2 17 3 19 7 16 8 11 14 9 12 5];\r\nassert( abs(avgdart(v,6) - 9.6667) \u003c 1e-3 )\r\n%% Standard dartboard with t = 14\r\nv = [20 1 18 4 13 6 10 15 2 17 3 19 7 16 8 11 14 9 12 5];\r\nassert( abs(avgdart(v,14) - 11.3333) \u003c 1e-3 )\r\n%% Random dartboard with t = 20\r\nv = [4 20 18 9 16 7 2 1 15 3 11 17 8 12 13 6 14 19 10 5];\r\nassert( abs(avgdart(v,20) - 14) \u003c 1e-3 )\r\n%% Random dartboard with t = 17\r\nv = [15 10 18 4 5 14 8 12 16 19 3 11 17 20 13 1 9 6 2 7];\r\nassert( abs(avgdart(v,17) - 16) \u003c 1e-3 )\r\n%% Random dartboard with t = 6\r\nv = [9 5 14 8 13 7 12 1 10 17 2 11 18 20 19 4 6 16 3 15];\r\nassert( abs(avgdart(v,6) - 8.6667) \u003c 1e-3 )\r\n%% Random dartboard with t = 8\r\nv = [4 18 20 8 2 11 17 5 16 15 10 12 7 6 19 3 14 13 9 1];\r\nassert( abs(avgdart(v,8) - 10) \u003c 1e-3 )\r\n%% Random dartboard with t = 1\r\nv = [17 3 20 16 9 10 6 5 13 1 7 12 18 8 4 19 2 15 14 11];\r\nassert( abs(avgdart(v,1) - 7) \u003c 1e-3 )\r\n%% Random dartboard with t = 4\r\nv = [4 18 8 10 13 17 9 3 11 1 2 12 5 19 16 15 14 7 6 20];\r\nassert( abs(avgdart(v,4) - 14) \u003c 1e-3 )\r\n%% Random dartboard with t = 8\r\nv = [12 8 1 20 16 6 7 15 3 14 11 18 9 17 19 10 5 4 2 13];\r\nassert( abs(avgdart(v,8) - 7) \u003c 1e-3 )\r\n%% Random dartboard with t = 10\r\nv = [5 20 1 12 19 4 3 7 8 13 15 11 10 6 16 2 9 18 14 17];\r\nassert( abs(avgdart(v,10) - 9) \u003c 1e-3 )\r\n%% Random dartboard with t = 20\r\nv = [1 4 10 5 19 6 17 9 2 15 13 20 12 16 8 7 18 11 14 3];\r\nassert( abs(avgdart(v,20) - 15) \u003c 1e-3 )\r\n%% Random dartboard with t = 19\r\nv = [5 13 19 3 4 7 16 8 15 6 2 11 1 10 17 14 20 12 9 18];\r\nassert( abs(avgdart(v,19) - 11.6667) \u003c 1e-3 )","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2022-10-24T13:10:42.000Z","deleted_by":null,"deleted_at":null,"solvers_count":153,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-30T17:43:10.000Z","updated_at":"2024-12-17T13:43:01.000Z","published_at":"2022-10-24T13:10:42.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA dartboard arranges the numbers 1 to 20 such that each value is typically flanked by quite different values - for example, 20 is flanked by 1 and 5, 16 by 8 and 7, and so on.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a vector \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ev\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e representing the arrangement of the values 1 to 20, and a target value \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003et\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, return the average of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003et\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and the two values on either side of it in the vector \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ev\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Note that a dartboard is circular, so the values in \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ev\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are assumed to wrap.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example, a standard dartboard is represented by\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[v = [20 1 18 4 13 6 10 15 2 17 3 19 7 16 8 11 14 9 12 5];]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003et = 6\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, your function should return \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003emean([13 6 10]) = 9.6667\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003et = 20\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, it should return \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003emean([5 20 1]) = 8.6667\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe vector \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ev\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e will always be a permutation of the values 1:20.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":56175,"title":"Dartboard Average II","description":"A dartboard arranges the numbers 1 to 20 such that each value is typically flanked by quite different values - for example, 20 is flanked by 1 and 5, 16 by 8 and 7, and so on.\r\nAssuming a player of questionable skill aiming for a particular value will hit that value or the value on either side with equal probability, what is the best and worst value to aim at? That is, what value has the highest and lowest average with the two values on either side?\r\nGiven a vector v representing the arrangement of the values 1 to 20, return the values with the maximum and minimum average with the values on either side. Note that a dartboard is circular, so the values in v are assumed to wrap.\r\nFor example, a standard dartboard is represented by\r\nv = [20 1 18 4 13 6 10 15 2 17 3 19 7 16 8 11 14 9 12 5];\r\nFor this v, your function should return 7 and 17 (in that order). The target value 7 has the highest average (mean([19 7 16]) = 14). Similarly, 17 has the lowest average (mean([2 17 3]) = 7.3333).\r\nIf there are multiple values with the highest or lowest average, your function should return the first of them. (For example, if v = [12 10 20 8 14 1 7...], both 10 and 8 have an average of 14. Your function should return 10 in this case.)\r\nThe vector v will always be a permutation of the values 1:20.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 382.433px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 191.217px; transform-origin: 407px 191.217px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 384px 8px; transform-origin: 384px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eA dartboard arranges the numbers 1 to 20 such that each value is typically flanked by quite different values - for example, 20 is flanked by 1 and 5, 16 by 8 and 7, and so on.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 384px 8px; transform-origin: 384px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eAssuming a player of questionable skill aiming for a particular value will hit that value or the value on either side with equal probability, what is the best and worst value to aim at? That is, what value has the highest and lowest average with the two values on either side?\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 43px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21.5px; text-align: left; transform-origin: 384px 21.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 48px 8px; transform-origin: 48px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a vector \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003ev\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 323px 8px; transform-origin: 323px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e representing the arrangement of the values 1 to 20, return the values with the maximum and minimum average with the values on either side. Note that a dartboard is circular, so the values in \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003ev\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 70px 8px; transform-origin: 70px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e are assumed to wrap.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 167px 8px; transform-origin: 167px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example, a standard dartboard is represented by\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 20.4333px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 228px 8.5px; tab-size: 4; transform-origin: 228px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ev = [20 1 18 4 13 6 10 15 2 17 3 19 7 16 8 11 14 9 12 5];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 43px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 21.5px; text-align: left; transform-origin: 384px 21.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 26px 8px; transform-origin: 26px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor this \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003ev\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 309.5px 8px; transform-origin: 309.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, your function should return 7 and 17 (in that order). The target value 7 has the highest average (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 44px 8px; transform-origin: 44px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 44px 8.5px; transform-origin: 44px 8.5px; \"\u003emean([19 7 16]) = 14\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 123.5px 8px; transform-origin: 123.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e). Similarly, 17 has the lowest average (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 92px 8px; transform-origin: 92px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 92px 8.5px; transform-origin: 92px 8.5px; \"\u003emean([2 17 3]) = 7.3333\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4.5px 8px; transform-origin: 4.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 63.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.75px; text-align: left; transform-origin: 384px 31.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 381.5px 8px; transform-origin: 381.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIf there are multiple values with the highest or lowest average, your function should return the first of them. (For example, if \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 128px 8px; transform-origin: 128px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 128px 8.5px; transform-origin: 128px 8.5px; \"\u003ev = [12 10 20 8 14 1 7...]\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 243.5px 8px; transform-origin: 243.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, both 10 and 8 have an average of 14. Your function should return 10 in this case.)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.75px; text-align: left; transform-origin: 384px 10.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 36px 8px; transform-origin: 36px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe vector \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003ev\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 150px 8px; transform-origin: 150px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e will always be a permutation of the values 1:20.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function [mx,mn] = bestworsttargets(v)\r\nmx = max(v);\r\nmn = min(v);\r\nend","test_suite":"%% Random dartboard #1\r\nv = [10 16 2 14 1 5 11 19 12 17 13 20 8 15 7 18 4 3 6 9];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 13) \u0026\u0026 (w == 3) )\r\n%% Random dartboard #2\r\nv = [4 20 1 11 7 6 14 5 3 19 10 9 15 8 2 16 12 13 18 17];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 18) \u0026\u0026 (w == 11) )\r\n%% Random dartboard #3\r\nv = [10 18 2 3 19 17 15 20 14 4 13 16 9 6 7 12 1 11 5 8];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 15) \u0026\u0026 (w == 11) )\r\n%% Random dartboard #4\r\nv = [11 16 1 9 13 14 15 19 17 20 2 12 6 8 5 4 3 7 18 10];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 17) \u0026\u0026 (w == 4) )\r\n%% Random dartboard #5\r\nv = [16 17 9 7 13 3 20 19 10 1 11 12 2 14 6 8 4 18 15 5];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 19) \u0026\u0026 (w == 8) )\r\n%% Random dartboard #6\r\nv = [19 5 4 13 17 6 11 10 7 18 8 14 16 2 20 1 15 9 3 12];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 8) \u0026\u0026 (w == 4) )\r\n%% Random dartboard #7\r\nv = [9 6 8 18 11 5 2 15 12 1 4 10 7 20 13 19 14 3 17 16];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 13) \u0026\u0026 (w == 4) )\r\n%% Random dartboard #8\r\nv = [7 17 12 6 20 10 13 5 18 8 11 2 9 14 3 4 16 19 15 1];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 19) \u0026\u0026 (w == 11) )\r\n%% Random dartboard #9\r\nv = [8 20 17 3 13 9 7 10 16 19 6 2 11 5 14 18 4 15 1 12];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 20) \u0026\u0026 (w == 11) )\r\n%% Random dartboard #10\r\nv = [5 6 12 3 18 17 9 19 15 10 16 2 8 14 13 11 1 4 20 7];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 9) \u0026\u0026 (w == 1) )\r\n%% Random dartboard #11\r\nv = [14 4 20 16 19 1 17 10 3 2 9 15 5 11 8 6 12 18 7 13];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 16) \u0026\u0026 (w == 2) )\r\n%% Random dartboard #12\r\nv = [15 9 20 2 13 18 14 3 7 17 1 12 10 8 11 6 19 4 16 5];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 18) \u0026\u0026 (w == 12) )\r\n%% Random dartboard #13\r\nv = [16 17 20 18 4 5 7 11 8 13 12 9 19 2 1 3 6 15 14 10];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 20) \u0026\u0026 (w == 1) )\r\n%% Random dartboard #14\r\nv = [17 12 3 9 15 18 20 13 10 19 14 11 8 7 16 2 4 5 6 1];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 18) \u0026\u0026 (w == 4) )\r\n%% Random dartboard #15\r\nv = [20 3 11 14 18 15 2 12 10 1 5 6 7 8 17 13 9 4 16 19];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 19) \u0026\u0026 (w == 5) )\r\n%% Random dartboard #16\r\nv = [13 4 12 8 15 10 11 9 3 2 5 1 14 17 20 6 16 18 19 7];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 18) \u0026\u0026 (w == 5) )\r\n%% Random dartboard #17\r\nv = [7 13 10 1 14 16 15 12 5 19 20 3 6 9 11 17 18 4 8 2];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 17) \u0026\u0026 (w == 8) )\r\n%% Random dartboard #18\r\nv = [14 13 15 7 19 9 18 17 6 4 10 1 3 12 11 20 16 5 8 2];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 20) \u0026\u0026 (w == 1) )\r\n%% Random dartboard #19\r\nv = [19 3 17 8 6 10 4 20 7 12 5 15 1 2 11 13 9 18 16 14];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 14) \u0026\u0026 (w == 2) )\r\n%% Random dartboard #20\r\nv = [19 1 12 17 4 3 5 7 8 18 13 10 15 14 6 9 2 16 11 20];\r\n[b,w] = bestworsttargets(v);\r\nassert( (b == 20) \u0026\u0026 (w == 3) )","published":true,"deleted":false,"likes_count":1,"comments_count":3,"created_by":287,"edited_by":287,"edited_at":"2022-10-25T13:23:49.000Z","deleted_by":null,"deleted_at":null,"solvers_count":101,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-30T17:50:06.000Z","updated_at":"2022-10-25T13:23:49.000Z","published_at":"2022-10-24T13:11:57.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA dartboard arranges the numbers 1 to 20 such that each value is typically flanked by quite different values - for example, 20 is flanked by 1 and 5, 16 by 8 and 7, and so on.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAssuming a player of questionable skill aiming for a particular value will hit that value or the value on either side with equal probability, what is the best and worst value to aim at? That is, what value has the highest and lowest average with the two values on either side?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a vector \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ev\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e representing the arrangement of the values 1 to 20, return the values with the maximum and minimum average with the values on either side. Note that a dartboard is circular, so the values in \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ev\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e are assumed to wrap.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example, a standard dartboard is represented by\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[v = [20 1 18 4 13 6 10 15 2 17 3 19 7 16 8 11 14 9 12 5];]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor this \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ev\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, your function should return 7 and 17 (in that order). The target value 7 has the highest average (\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003emean([19 7 16]) = 14\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e). Similarly, 17 has the lowest average (\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003emean([2 17 3]) = 7.3333\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf there are multiple values with the highest or lowest average, your function should return the first of them. (For example, if \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ev = [12 10 20 8 14 1 7...]\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, both 10 and 8 have an average of 14. Your function should return 10 in this case.)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe vector \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ev\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e will always be a permutation of the values 1:20.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55255,"title":"Create block matrix of integers (j+k-1) - Part I","description":"Given m, n, p, and q, create a matrix of m-by-n blocks (submatrices), each sized p-by-q. The elements of the (j,k)th block all have the same value: (j+k-1).\r\nFor example, if m = 4, n = 3, p = 2, and q = 3, the matrix is:\r\n\r\nYou can assume m, n, p, and q are all positive integers. (They can have the value 1, however.)","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 590.5px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 295.25px; transform-origin: 407px 295.25px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 381px 8px; transform-origin: 381px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven m, n, p, and q, create a matrix of m-by-n blocks (submatrices), each sized p-by-q. The elements of the (j,k)th block all have the same value: (j+k-1).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 183.5px 8px; transform-origin: 183.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example, if m = 4, n = 3, p = 2, and q = 3, the matrix is:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 479.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 239.75px; text-align: left; transform-origin: 384px 239.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 688px;height: 474px\" 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FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6tmC/jkdtX8+2VBoWGzLfr9/89Kc/HQ/402+++WXbN184DasOGe/Xz58+fBiP9+HT57YrIZuGZYfUr1H6Ffq2XL/+2njUtjHbQmlYbchwv34zBdeLVHgl07DwkOF+/dQO1uTCK5mGhYfUr1H6Ffq2WL/+/umobWu2ZdKw3JDRfn2dXKNv2ovz5NKw9JDRfn3VXBupOMylYekh9WuUfoW+Ldav7ahta7Zl0nCasdCQwX79ZTvQG4kTh6k0LD5ksF8/T1e7X8u0YSoNiw+pX6P0K/RtqX6drnl3nob1hsz168noirRhKA2rD5nr18/tOG98aG+YJZSG1YfUr1H6Ffq2UL9uo6vrNCw4ZKxfz0RXog0zaVh+yFi/noyuTBtm0rD8kPo1Sr9C35bp11109ZyGFYdM9etedP10utPol/t3IM1uw0gaGjLWry+XvD982mx/3lvCGbjwnUnD8kPq1yj9Cn1bpF9foqvjNCw5ZKpf20GG5mo7Nn750l1z2zCShtMog7JDpvp1F117pwhfTiTOb8NIGhpSv0bpV+jbEv26F139pmHNIUP9usurV3W1O5k49975RBoaMtWvu8A67Ktti82/OJ9IQ0Pq1yz9Cn3L9+vv34+uXtOw6pChfm3HeHtycJdds04bZtJwGqT0kKF+3ebVeMF7T9s9/9xmIg0NqV+z9Cv0Ld6vv68drml7Z8umYdkhM/36TTvGkXOD2/OJM89tBtLQkKl+3Z40fHN2cPvC6xq7WiANDalfw/Qr9C3drwenDAdt92zRNKw7ZKZf2yH2V2zutNe+aJs3CqThNEbtITP9uj1p2Db3nH7lOoE0NKR+DdOv0Ldsv746ZThoL8wWTMPKQ0b6dXtp++iZwe0ZxXnX5uenoSEHmX5thziyOHN72nDutflAGk6D1B5Sv0bpV+hbsl/312tuv2wvzRZLw9pDRvp1G1Zt89DZJLvY/DQ05CDSr9sHPB25tt1PGhpyoF+j9Cv0LdevB3cb/f7t+cP24myhNKw+ZKRf28rMoxe9d5e9H52GhhxE+7VtHmgvzV1bmkvDtnmgvfT8Q+rXKP0Kfcv1azvMxq+9XP9uL84WSsNpqFHJISP92o5woqvON9mF5qfhNEXxISP92k4NHrno3VEaGnKgX6P0K/RtiX79fcNW92lYc0j9OtGv1/j8+dOn42XVjv74NDTkQL9G6VfoW75ff+33b7Y6T8OqQ2bu3/rmm29++tPO09CQg1C/ntTP0tIz6gypX6P0K/Qt3q+bU4aDvtOw7JCRfj2vHf9Ek11ofhqeN8349EMu3a/nFnReY9E0rDOkfo3Sr9C3cL+25uo7DQsPuXy/9nJr/1lVhly6X9vBjy7ovMaiaTjNWGFI/RqlX6Fv0X7dNVfPaVh6yOX7tV30fvijVc+qMuTC/bp96P7claWLpmGhIfVrlH6FvuX69df2mqvbNKw+5PL92g7/+I+2Omca8fmHXLZft2s2Z1+ZXzINKw2pX6P0K/Qt16+HOk3DQ/WGXLxft0/kn3dn1MJpWGbIRft1e85w9o1RS6ZhqSH1a5R+hb7p10HbnE2/7k4azltZunAaTiMWGHLBft3ecBRYWLpcGhYbUr9G6Vfom34dtM3Z9Ot2zebMM5vLpmGdIRfq18+fdmcMI2W4SBoWHFK/RulX6Jt+HbTN2cr36/aW+Zk3Ri2bhoWGXKBfX84WThJlGE/DokPq1yj9Cn3Tr4O2OVv1ft1F19wzm0umYaUhF+/XD/OXlW4sm4ZlhtSvUfoV+qZfB21ztuL9uouumff1D5ZLw1JDLtCve9e7B5kyjKdh0SH1a5R+hb7p10HbnK14v26XbM6+ML9kGpYacvF+DTxWdWPZNCwzpH6N0q/QN/06aJuz1e7XXXTNvjC/YBrWGvIO/Ro5c7h0GhYZUr9G6Vfom34dtM3ZSvdrsgwXS8NiQy7Qr+14++afOEyn4TTXgQpD6tco/Qp906+Dtjlb5X6NluFSaVhtyCXOv34azxJ+3r/7aPad8/FTmzWH1K9R+hX6pl8HbXO2uv36csNRpAyXScN6Qy7Qry8+v1wAn3vhO52GL0oNqV+j9Cv0Tb8O2uZsZfs1XYaLpGHBIRft1/0nQM1sw+XSsNSQ+jVKv0Lf9Ougbc5WtV/jZbhEGlYccuF+/Y3P7ehzL84vmYaFhtSvUfoV+qZfB21ztqL9mi/DBdKw5JBL9+vLecN55zYXTcM6Q+rXKP0KfdOvg7Y5W81+3d1vlCvDfBrWHHLxft3dRD/vzvll07DMkPo1Sr9C3/TroG3OVrJflyjDeBoWHXL5ft1d927bt1k4DasMqV+j9Cv0Tb8O2uZsBfv1l4uUYTgNyw65fL/uThu2zdssnIZVhtSvUfoV+qZfB21ztnr9+rJgM/B5rHuiaVh3yDv063bd5qy1pUunYZEh9WuUfoW+6ddB25ytXL8uVYbRNCw8pH6d6Feup1+hb/p10DZnq9avi5VhMg0rD3mHft0u2+w6DYsMqV+j9Cv0Tb8O2uZsxfp1mVWlo1walh7yjv06697+e6Xhkw+pX6P0K/RNvw7a5my1+nXBMsylYe0hM/36+dOnDx9O3VbUy6V5Q+rXMP0KfdOvg7Y5W6l+XbIMY2lYfMhEv76TVX2koSE39GuUfoW+6ddB25ytUr++RNc3bU9SKA2rD5no13eWZX5oL7fN28xOQ0Nu6Nco/Qp906+DtjlboX59ueEofFPUJJOG5YdM9uuJZZl9pWHtIfVrlH6FvunXQducrU6/LlyGmTQ0ZGT9azvC8a7aNtmHtn2b2WloyA39GqVfoW/6ddA2Z6vTr+0gS5VhJg2nCQdlh4z063Zd5tHThtuThrffNL8xPw0NOdCvUfoV+qZfB21ztjL9uluyuVAZRtLQkJl+3Z4YPHba8NxrV5ifhoYc6Nco/Qp906+DtjlblX79ph1jsTJMpKEhQ/26u+x95Mp2e2Xmmc1AGhpyoF+j9Cv0Tb8O2uZsVfq1HWKJZ1I1gTScRqw9ZKZfd6cG39w4v73mPfPMZiINDalfw/Qr9E2/DtrmbEX6dXvNe7kyDKShIQeZfn2Jq8Ps2tXYqSdCXSyQhobUr2H6FfqmXwdtc7Yi/dqOcN68JJufhtMU73j2IUP9+pJXH/b6ans30qxb5ieJNDSkfs3Sr9A3/Tpom7PV6Nfdms2zHpyGhtwI9etedn3x6fMYXp92ZxIDZRhJQ0Pq1yz9Cn3Tr4O2OVuNft3dMn/Wg9PQkBupft3Prjfml2EmDQ2pX6P0K/RNvw7a5mw1+rUd4B0PTsNpiPc8+5Cxfj2TXYEyDKVh+SH1a5R+hb7p10HbnK1Ev1520fvBaWjIUa5fT2bX3jLO24XSsPqQ+jVKv0Lf9Ougbc6mX1/o13etql/37zJ6kTivOUilYfEh9WuUfoW+6ddB25xNv77Qr+9aWb/+xudX3fVh5gcCvMilYekh9WuUfoW+LdWvaYukYVr/QybWv97D3DS8i/6HzPbr4POndrv8h1wXDoJpOCg7pH6N0q/QN/0apF9T9GtEvF8Xkk3DhfQ/pH6N0q/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr/f2w7dfTX+cr776tu26J/0KfdOvQfo1Rb9G6Ncg/XpXP3zb/izN/RNWv0Lf9GuQfk3RrxH6NUi/3tEP7czrvq9+aC/eiX6FvunXIP2aol8j9GuQfr2fH9qf45X7noLVr9A3/RqkX1P0a4R+DdKvd3Pk5Ovkq/aGu9Cv0Df9GqRfU/RrhH4N0q/3ssvXb38Ylwzs7uO6b8DqV+ibfg3Sryn6NUK/BunXO9nG6sFqge3OOwasfoW+6dcg/ZqiXyP0a5B+vY9Wqq/v1touib3fTVz6FfqmX4P0a4p+jdCvQfr1Llqnvj3Pug3Ytrk8/Qp9069B+jVFv0bo1yD9ehfTH+DYMoGTZbsQ/Qp9069B+jVFv0bo1yD9eg/tUwva1qEWsG1rcfoV+qZfg/Rrin6N0K9B+vUepvlPLHKdlsbe6ymw+hX6pl+D9GuKfo3Qr0H69Q7On2KdXr3XAgL9Cn3Tr0H6NUW/RujXIP16B9PygZPPGJhOwLaNpelX6Jt+DdKvKfo1Qr8G6dc7mMZvG29NeXunBQT6FfqmX4P0a4p+jdCvQfp1ee8tEJhe16/AQL8G6dcU/RqhX4Oevl+3H9P61Vff3usWqdfe61P9Cuzo1yD9mqJfI/Rr0LP16+FS0x+2H9DafPWQhH1n+at+BV7o1yD9mqJfI/Rr0DP369SFrzygYPUrcDH9GqRfU/RrhH4NerZ+fbmX/2i9Dr46HZKvtG94X3v/rfQrsKNfg/Rrin6N0K9Bz9av0zuHL6aTnkddGrDt7e9r77+VfgV29GuQfk3RrxH6Negp+/Wr7XnYwbc/tMUE7T6ujQsDtr37fe39t3pvfUGUfoW+6dcg/ZqiXyP0a9CT9Ws7lbm9b+vbwyjcJexlrdje/L72/ltFDnIp/Qp9069B+jVFv0bo16Cn7Ndtvbade64K2Pbe97X336gt1G1bS9Ov0Df9GqRfU/RrhH4NerJ+3Vv1evw+rRaLF9Vie+v72vtvNDX1vZ6LoF+hb/o1SL+m6NcI/Rr0tP166uOuWsCe/jSse2sD3Wn5q36FzunXIP2aol8j9GvQk/Xrdn3Au5/WerdefNc0zr1Ov+pX6Jx+DdKvKfo1Qr8GPVm/tneePb06NW4vJ2DbGeO75bR+hb7p1yD9mqJfI/Rr0HP26/k4nd7TNh6snQ2+2+lX/Qqd069B+jVFv0bo16Dn6tft3Vnnz2ZOpzzvl4xn3H81rn6FvunXIP2aol8j9GvQU/bre2k6vqmLBQRtve4dF+PqV+ibfg3Sryn6NUK/Bj1lv7atk6ZqbBuPdP981a/QOf0apF9T9GuEfg16rn69cGXA9La28UAtX+96Jli/Qt/0a5B+TdGvEfo16Bn79d3TmdNp2nue9Tzq/otfB/oV+qZfg/Rrin6N0K9Bz9WvFy4MmMLx0TdwtXy9c0frV+ibfg3Sryn6NUK/Bj1Xv45vu6BLL33fkh6Tr/oVOqdfg/Rrin6N0K9BT9ivFwTh+L7H9uuD8lW/Quf0a5B+TdGvEfo16Kn6dWrCtnHO+L53+3V81yXa+6/xqHzVr9A5/RqkX1P0a4R+DSrZr9P7Htqv7dED9z8HrF+hb3/f9I/D4E/4z/bsjxwm/CPb193qf8g/YfxVb/y2/0LP/uhhwj+6fd2t/of8beOveuNP/s/17I8aJvyj2tfd6n/IP3n8VW/8fe2f95PGxw9ccDv/1K/vnvoc33WJ9v4rPOLJWRP9Cn370fSvAwDP4Uftn/eTVtOvj8tX/Qqd068AT+Xdfh2z8IIovPDzC8Z3XaK9/2IPzFf9Cp3TrwBP5d1+Hd91QRWO73tcvz4yX/UrdO4fnP6BGPz7//M9+2OHCf/Y9nW3+h/yPzj+qjf+zP9qz/7EYcI/sX3drf6H/DPHX/XGf+Qf6tkfP0z4x7evu9X/kP/R8Ve98Q+2f95PGt/1fhZeePvWUh6ar/oVOuf5A0GeP5Di+QMRnj8Q9EzPH5i69P2zoRd+yuxCHpuv+hU6p1+D9GuKfo3Qr0EV+/XCty1jiueH/Xj9Cp3Tr0H6NUW/RujXoCfs1/cWBjx0+UCb8WFnf/UrdE6/BunXFP0aoV+Dnqlf26nN967MT+96TEA+PF/1K3ROvwbp1xT9GqFfg56wX9+5ND+tP33M6dfH56t+hc7p1yD9mqJfI/Rr0DP1a7sz6vwJ2JaQbeu+OshX/Qqd069B+jVFv0bo16Bn6tf2trN92BLyIQXZQ77qV+icfg3Sryn6NUK/Bj1lv54+AdsS8iEPr+oiX/UrdE6/BunXFP0aoV+Dnqhft304ONWn8lW/Quf0a5B+TdGvEfo16On69dtxFezxQr3wAQXLmH724z72q9Gv0Df9GqRfU/RrhH4NeqJ+ner025PPx9qdn33IGdAHf+zWjn6FvunXIP2aol8j9GvQ0/XrD7tFAodnOn/YPZ2gdL7qV+icfg3Sryn6NUK/Bj1Rv06JONTp9kTrV199O7bqDz98u3007KMKchvP59xnZYF+hb7p1yD9mqJfI/Rr0BP16/SmzVe7lQJvPWb56SX5ql+BgX4N0q8p+jVCvwY9Zb++LBZ45TFrBy7LV/0KDPRrkH5N0a8R+jXoefp1Oum6XR5wNBkfU68X5qt+BQb6NUi/pujXCP0a9Gz9+hKBL0teJ9Na2Ae4MF/1KzDQr0H6NUW/RujXoOfp1+3js1788O1XUzt+9e3D4rU7+hX6pl+D9GuKfo3Qr0HP1q869R36FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Neg5+nXaalA2+AU/Qp9069B+jVFv0bo16Dn6dfpPW2DU/Qr9E2/BunXFP0aoV+DnqxfH//5rL3Tr9A3/RqkX1P0a4R+DXqafj18/Cun6Ffom34N0q8p+jVCvwY9Wb/e5xmqa6ZfoW/6NUi/pujXCP0a9DT9+vbxrxyjX6Fv+jVIv6bo1wj9GvRk/erxWe/Rr9A3/RqkX1P0a4R+DXqafp0en6Vf36NfoW/6NUi/pujXCP0a9DT9Or2lbXCSfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo16Fn61eOzLqRfoW/6NUi/pujXCP0a9Fz96vED79Kv0Df9GqRfU/RrhH4NepZ+9fisC+lX6Jt+DdKvKfo1Qr8GPUu/ciH9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn1bsF/Ho7avZ1sqDYsNme/Xb37605+OB/zpN9/8su2bL5yGVYeM9+vnTx8+jMf78Olz25WQTcOyQ+rXKP0KfVuuX39tPGrbmG2hNKw2ZLhfv5mC60UqvJJpWHjIcL9+agdrcuGVTMPCQ+rXKP0KfVusX3//dNS2NdsyaVhuyGi/vk6u0TftxXlyaVh6yGi/vmqujVQc5tKw9JD6NUq/Qt8W69d21LY12zJpOM1YaMhgv/6yHeiNxInDVBoWHzLYr5+nq92vZdowlYbFh9SvUfoV+rZUv07XvDtPw3pD5vr1ZHRF2jCUhtWHzPXr53acNz60N8wSSsPqQ+rXKP0KfVuoX7fR1XUaFhwy1q9noivRhpk0LD9krF9PRlemDTNpWH5I/RqlX6Fvy/TrLrp6TsOKQ6b6dS+6fjrdafTL/TuQZrdhJA0NGevXl0veHz5ttj/vLeEMXPjOpGH5IfVrlH6Fvi3Sry/R1XEalhwy1a/tIENztR0bv3zprrltGEnDaZRB2SFT/bqLrr1ThC8nEue3YSQNDalfo/Qr9G2Jft2Lrn7TsOaQoX7d5dWrutqdTJx773wiDQ2Z6tddYB321bbF5l+cT6ShIfVrln6FvuX79ffvR1evaVh1yFC/tmO8PTm4y65Zpw0zaTgNUnrIUL9u82q84L2n7Z5/bjORhobUr1n6FfoW79ff1w7XtL2zZdOw7JCZfv2mHePIucHt+cSZ5zYDaWjIVL9uTxq+OTu4feF1jV0tkIaG1K9h+hX6lu7Xg1OGg7Z7tmga1h0y06/tEPsrNnfaa1+0zRsF0nAao/aQmX7dnjRsm3tOv3KdQBoaUr+G6VfoW7ZfX50yHLQXZgumYeUhI/26vbR99Mzg9ozivGvz89PQkINMv7ZDHFmcuT1tOPfafCANp0FqD6lfo/Qr9C3Zr/vrNbdftpdmi6Vh7SEj/boNq7Z56GySXWx+GhpyEOnX7QOejlzb7icNDTnQr1H6FfqW69eDu41+//b8YXtxtlAaVh8y0q9tZebRi967y96PTkNDDqL92jYPtJfmri3NpWHbPNBeev4h9WuUfoW+5fq1HWbj116uf7cXZwul4TTUqOSQkX5tRzjRVeeb7ELz03CaoviQkX5tpwaPXPTuKA0NOdCvUfoV+rZEv/6+Yav7NKw5pH6d6NdrfP786dPxsmpHf3waGnKgX6P0K/Qt36+/9vs3W52nYdUhM/dvffPNNz/9aedpaMhBqF9P6mdp6Rl1htSvUfoV+hbv180pw0HfaVh2yEi/nteOf6LJLjQ/Dc+bZnz6IZfu13MLOq+xaBrWGVK/RulX6Fu4X1tz9Z2GhYdcvl97ubX/rCpDLt2v7eBHF3ReY9E0nGasMKR+jdKv0Ldov+6aq+c0LD3k8v3aLno//NGqZ1UZcuF+3T50f+7K0kXTsNCQ+jVKv0Lfcv36a3vN1W0aVh9y+X5th3/8R1udM434/EMu26/bNZuzr8wvmYaVhtSvUfoV+pbr10OdpuGhekMu3q/bJ/LPuzNq4TQsM+Si/bo9Zzj7xqgl07DUkPo1Sr9C3/TroG3Opl93Jw3nrSxdOA2nEQsMuWC/bm84CiwsXS4Niw2pX6P0K/RNvw7a5mz6dbtmc+aZzWXTsM6QC/Xr50+7M4aRMlwkDQsOqV+j9Cv0Tb8O2uZs5ft1e8v8zBujlk3DQkMu0K8vZwsniTKMp2HRIfVrlH6FvunXQducrXq/7qJr7pnNJdOw0pCL9+uH+ctKN5ZNwzJD6tco/Qp906+Dtjlb8X7dRdfM+/oHy6VhqSEX6Ne9692DTBnG07DokPo1Sr9C3/TroG3OVrxft0s2Z1+YXzINSw25eL8GHqu6sWwalhlSv0bpV+ibfh20zdlq9+suumZfmF8wDWsNeYd+jZw5XDoNiwypX6P0K/RNvw7a5myl+zVZhoulYbEhF+jXdrx9808cptNwmutAhSH1a5R+hb7p10HbnK1yv0bLcKk0rDbkEudfP41nCT/v3300+875+KnNmkPq1yj9Cn34/sfti1f066Btzla3X19uOIqU4TJpWG/IBfr1xeeXC+BzL3yn0/BFqSH1a5R+hR58/+Mvvm5fvqJfB21ztrL9mi7DRdKw4JCL9uv+E6BmtuFyaVhqSP0apV/h8b7e/IumX9/SrxnxMlwiDSsOuXC//sbndvS5F+eXTMNCQ+rXKP0KD/b9j6d/0b5v26/o10HbnK1ov+bLcIE0LDnk0v36ct5w3rnNRdOwzpD6NUq/wkNt6/WLL9qO1/TroG3OVrNfd/cb5cown4Y1h1y8X3c30c+7c37ZNCwzpH6N0q/wQC/1+sWJ27f060bbnK1kvy5RhvE0LDrk8v26u+7dtm+zcBpWGVK/RulXeJi9ej25/FW/brTN2Qr26y8XKcNwGpYdcvl+3Z02bJu3WTgNqwypX6P0KzzG9+NNWy/06xH6da6XBZuBz2PdE03DukPeoV+36zZnrS1dOg2LDKlfo/QrPMLBqddRe+EN/Tpom7OV69elyjCahoWH1K8T/cr19Cvc39t61a9H6dd5FivDZBpWHvIO/bpdttl1GhYZUr9G6Ve4t2P1enL5gH7daJuzFevXZVaVjnJpWHrIO/brrHv775WGTz6kfo3Sr3BfXx+rV/16nH6dY8EyzKVh7SEz/fr506cPH07dVtTLpXlD6tcw/Qp3dPTU6+jEpxfo11HbnK1Uvy5ZhrE0LD5kol/fyao+0tCQG/o1Sr/C3Zyu19PLX/XrRtucrVK/vkTXN21PUigNqw+Z6Nd3lmV+aC+3zdvMTkNDbujXKP0K9/PqkVl7Tn16gX4dtc3ZCvXryw1H4ZuiJpk0LD9ksl9PLMvsKw1rD6lfo/Qr3NHJgD25/FW/brTN2er068JlmElDQ0bWv7YjHO+qbZN9aNu3mZ2GhtzQr1H6Fe7pVMDq16P0663aQZYqw0waThMOyg4Z6dftusyjpw23Jw1vv2l+Y34aGnKgX6P0K9zV9+3fr1faq0fo10HbnK1Mv+6WbC5UhpE0NGSmX7cnBo+dNjz32hXmp6EhB/o1Sr/CnR09BdteO0K/DtrmbFX69Zt2jMXKMJGGhgz16+6y95Er2+2VmWc2A2loyIF+jdKvcG9HAvb08oHf1K+DtjlblX5th1jimVRNIA2nEWsPmenX3anBNzfOb695zzyzmUhDQ+rXMP0K93ZkCYF+PU6/3mR7zXu5MgykoSEHmX59iavD7NrV2KknQl0skIaG1K9h+hXu7chTYE9+eoF+HbXN2Yr0azvCefOSbH4aTlO849mHDPXrS1592Our7d1Is26ZnyTS0JD6NUu/wp0dW//aXjpGvw7a5mw1+nW3ZvOsB6ehITdC/bqXXV98+jyG16fdmcRAGUbS0JD6NUu/wn0dy9fTn16gX0dtc7Ya/bq7Zf6sB6ehITdS/bqfXW/ML8NMGhpSv0bpV7iro08fOLP8Vb9utM3ZavRrO8A7HpyG0xDvefYhY/16JrsCZRhKw/JD6tco/Qr3dPzxr/r1BP16g8suej84DQ05yvXryezaW8Z5u1AaVh9Sv0bpV7in9q/X6Me7G7nai0fp10HbnE2/vtCv71pVv+7fZfQicV5zkErD4kPq1yj9Cnd08OiB73eLCdqrR+nXQducTb++0K/vWlm//sbnV931YeYHArzIpWHpIfVrlH6F+zlY/LpZNDDtOLd8YLF+TVskDdP6HzKx/vUe5qbhXfQ/ZLZfB58/tdvlP+S6cBBMw0HZIfVrlH6Fu3mTr22Xfr0X/ZqiXyPi/bqQbBoupP8h9WuUfoV7Obh3a9usm51nPr1Av0bp1xT9GqFfg/RrMfoV7qX9yzXae+Lr12eXv+rXJP2aol8j9GuQfi1Gv8KdHNy71faNzp5+1a9J+jVFv0bo1yD9Wox+hfs4svj1Ivo1SL+m6NcI/RqkX4vRr3AXt+arfk3Sryn6NUK/BunXYvQr3MPN+apfk/Rrin6N0K9B+rUY/Qp3cPDogb17ty6gX4P0a4p+jdCvQfq1GP0Kd3Dy3q336dcg/ZqiXyP0a5B+LUa/wvIOVg+cf9zAG/o1SL+m6NcI/RqkX4vRr7C42xe/DvRrkH5N0a8R+jVIvxajX2Fps/JVvybp1xT9GqFfg/RrMfoVFnb0Y2Mvp1+D9GuKfo3Qr0H6tRj9Cgtr/2BN2r4r6Ncg/ZqiXyP0a5B+LUa/wrLm3Lu1oV+D9GuKfo3Qr0H6tRj9Couat/h1oF+D9GuKfo3Qr0H6tRj9Ckuana/6NUm/pujXCP0apF+L0a+woJn3bm3o1yD9mqJfI/RrkH4tRr/Cgto/VqPrPjZ2R78G6dcU/RqhX4P0azH6FZYz42Njd/RrkH5N0a8R+jVIvxajX2Ex8xe/DvRrkH5N0a8R+jVIvxajX2EpkXzVr0n6NUW/RujXIP1ajH6FhWTyVb8m6dcU/RqhX4P0azH6FZZx8OiBG+/d2tCvQfo1Rb9G6Ncg/VqMfoVlJO7d2tCvQfo1Rb9G6Ncg/VqMfoVFHKweuOFjY3f0a5B+TdGvEfo1SL8Wo19hCaHFrwP9GqRfU/RrhH4N0q/F6FdYQC5f9WuSfk3RrxH6NUi/FqNfIS/wsbE7+jVIv6bo1wj9GqRfi9GvkNf+jZq0fbfSr0H6NUW/RujXIP1ajH6FuNi9Wxv6NUi/pujXCP0apF+L0a+QFlz8OtCvQfo1Rb9G6Ncg/VqMfoWwbL7q1yT9mqJfI/RrkH4tRr9CVvLerQ39GqRfU/RrhH4N0q/F6FfIav8+jWZ8bOyOfg3Sryn6NUK/BunXYvQrRKU+NnZHvwbp1xT9GqFfg/RrMfoVksKLXwf6NUi/pujXCP0apF+L0a8QlM9X/ZqkX1P0a4R+DdKvxehXyFkgX/Vrkn5N0a8R+jVIvxajXyGn/ds0Sty7taFfg/Rrin6N0K9B+rUY/Qox8Xu3NvRrkH5N0a8R+jVIvxajXyHlYPXA3I+N3dGvQfo1Rb9G6Ncg/VqMfoWQJRa/DvRrkH5N0a8R+jVIvxajXyFjoXzVr0n6NUW/RujXIP1ajH6FiPTHxu689Ot/+X/Rs794mPAvbl93q/8h/8vjr3rjX/q/9+xvGSb8W9rX3ep/yH9p/FVv/FP/+579dcOEf137ulv9D/lPjb/qDf0aoF8hov2zNGn7In7UjgnAU/hR++edGfQrJCxz79aGfgV4Kvo1QL9CwFKLXwf6FeCp6NcA/QrzLZiv+hXguejXAP0Ksy1279aGfgV4Kvo1QL/CbO2fpFHqY2N39CvAU9GvAfoV5jr42NjovVsb+hXgqejXAP0KMy25+HWgXwGein4N0K8wz8L5ql8Bnot+DdCvMMvS+apfAZ6Lfg3QrzBL++doFL93a+Pl82P/B//fnv29w4R/b/u6W/0P+d8ff9Ub/+L/rWd/6zDh39q+7lb/Q/6L469641/9//Ts7xkm/Hva193qf8h/dfxVb/j82AD9CnMc3LvV9mW99Ovv/bd79ruGCX9X+7pb/Q/5e8df9cbv/o2e/Y5hwt/Rvu5W/0P+7vFXvfF7/q2e/c5hwt/Zvu5W/0P+nvFXvaFfA/QrzHCweiD+6IGRfg3Sryn6NUK/BunXYvQr3G7xxa8D/RqkX1P0a4R+DdKvxehXuNk98lW/JunXFP0aoV+D9Gsx+hVutejHxu7o1yD9mqJfI/RrkH4tRr/Crdq/RJO2L0+/BunXFP0aoV+D9Gsx+hVudId7tzb0a5B+TdGvEfo1SL8Wo1/hNndZ/DrQr0H6NUW/RujXIP1ajH6Fm9wrX/Vrkn5N0a8R+jVIvxajX+EW97l3a0O/BunXFP0aoV+D9Gsx+hVu0f4VGi3ysbE7+jVIv6bo1wj9GqRfi9GvcIODj41d7t6tDf0apF9T9GuEfg3Sr8XoV7je3Ra/DvRrkH5N0a8R+jVIvxajX+Fq98xX/ZqkX1P0a4R+DdKvxehXuNZd81W/JunXFP0aoV+D9Gsx+hWu1f4FGi1779aGfg3Sryn6NUK/BunXYvQrXOng3q22b0H6NUi/pujXCP0apF+L0a9wnYPVA8s+emCkX4P0a4p+jdCvQfq1GP0KV7nv4teBfg3Sryn6NUK/BunXYvQrXOPu+apfk/Rrin6N0K9B+rUY/QpXOPjY2OXv3drQr0H6NUW/RujXIP1ajH6FK9z53q0N/RqkX1P0a4R+DdKvxehXuNy9793a0K9B+jVFv0bo1yD9Wox+hYvdf/HrQL8G6dcU/RqhX4P0azH6FS71kHzVr0n6NUW/RujXIP1ajH6FCx3cu3W3fNWvSfo1Rb9G6Ncg/VqMfoULtX94Rvd59MBIvwbp1xT9GqFfg/RrMfoVLnPw6IE73bu1oV+D9GuKfo3Qr0H6tRj9Chd5zOLXgX4N0q8p+jVCvwbp12L0K1ziYfmqX5P0a4p+jdCvQfq1GP0KF3hcvurXJP2aol8j9GuQfi1Gv8IF2j86ozveu7WhX4P0a4p+jdCvQfq1GP0K73vAx8bu6Ncg/ZqiXyP0a5B+LUa/wrsOVg/c8dEDI/0apF9T9GuEfg3Sr8XoV3jPAxe/DvRrkH5N0a8R+jVIvxajX+Edj81X/ZqkX1P0a4R+DdKvxehXOO/gY2PvfO/Whn4N0q8p+jVCvwbp12L0K5z3yHu3NvRrkH5N0a8R+jVIvxajX+Gsh967taFfg/Rrin6N0K9B+rUY/QrnPHjx60C/BunXFP0aoV+D9Gsx+hXOeHy+6tck/ZqiXyP0a5B+LUa/wmkH9249Jl/1a5J+TdGvEfo1SL8Wo1/htPZvzegBjx4Y6dcg/ZqiXyP0a5B+LUa/wkkHjx54xL1bG/o1SL+m6NcI/RqkX4vRr3BKB4tfB/o1SL+m6NcI/RqkX4vRr3BCH/mqX5P0a4p+jdCvQfq1GP0Kx/Vw79ZGvl+/+elPfzoe8KfffPPLtm++cBpWHTLer58/ffgwHu/Dp89tV0I2DcsOuWS//mI68C/a5iyLpWGtIfVrlH6F49q/M6NH3bu1Ee7Xb6bgepEKr2QaFh4y3K+f2sGaXHgl07DwkEv260+mA/edhrWG1K9R+hWOevTHxu5E+/V1co2+aS/Ok0vD0kNG+/VVc22k4jCXhqWHXLBfW3T1nYbFhtSvUfoVjulk8esg2K+/bAd6I3HiMJWGxYcM9uvn6Wr3a5k2TKVh8SGX69d2zbvvNKw2pH6N0q9wRD/5GuzXk9EVacNQGlYfMtevn9tx3vjQ3jBLKA2rD7lcv25PGnadhtWG1K9R+hXe6ihfc/16JroSbZhJw/JDxvr1ZHRl2jCThuWHXKxfd9HVcxqWG1K/RulXeOPg0QOPvHdrI9Wve9H10+lOo1/u34E0uw0jaWjIWL++XPL+8Gmz/XlvCWfgwncmDcsPuVS/7q5595yG9YbUr1H6Fd7o5t6tjVS/toMMzdV2bPzypbvmtmEkDadRBmWHTPXrLrr2ThG+nEic34aRNDTkUv3aDrrRbxpO842KDKlfo/QrvHaweuBRHxu7E+rXXV69qqvdycS5984n0tCQqX7dBdZhX21bbP7F+UQaGnKpfn255t1xGhYcUr9G6Vd4pafFr4NQv7ZjvD05uMuuWacNM2k4DVJ6yFC/bvNqvOC9p+2ef24zkYaGXKhff70dc9RrGlYcUr9G6Vc41Fm+hvr1m3aMI+cGt+cTZ57bDKShIVP9uj1p+Obs4PaF1zV2tUAaGnKhft1bsjnoNA1LDqlfo/QrHOjlY2N3Mv3aDrG/YnOnvfZF27xRIA2nMWoPmenX7UnDtrnn9CvXCaShIRfq1/1r3t2mYckh9WuUfoUD7Z+X0aMfPTCK9Ov20vbRM4PbM4rzrs3PT0NDDjL92g5xZHHm9rTh3GvzgTScBqk95BL92q55b9urzzSsOaR+jdKvsO/g0QMPv3drI9Kv27Bqm4fOJtnF5qehIQeRft0+4OnIte1+0tCQgwX6tV3z/sn22neXaVh0SP0apV9hT2+LXweRfm0rM49e9N5d9n50GhpyEO3XtnmgvTR3bWkuDdvmgfbS8w+5QL+2s4W7tZtdpmHRIfVrlH6FFx3ma6Zf2xFOdNX5JrvQ/DScpig+ZKRf26nBIxe9O0pDQw7y/dqi6xddp2HVIfVrlH6Fne7u3drQrxP9eo3Pnz99Ol5W7eiPT0NDDuL92lrrJy/3zneYhmWH1K9R+hV22j8toy7u3drI3L/1zTff/PSnnaehIQehfj2pn6WlZ9QZMt6v7WjDVx2n4TRYwSH1a5R+ha2uPjZ2J9Kv57Xjn2iyC81Pw/OmGZ9+yKX79dyCzmssmoZ1hkz36+6ad89pWHdI/RqlX6HpcfHrYPl+7eXW/rOqDLl0v7aDH13QeY1F03CascKQ4X7dPvBp83W3aVh4SP0apV9h0mm+3qFf20Xvhz9a9awqQy7cr9uH7s9dWbpoGhYaMtyv06HG6Oo3DaexSg6pX6P0K4x6zdc79Gs7/OM/2uqcacTnH3LZft2u2Zx9ZX7JNKw0ZLZf965595uGlYfUr1H6FTYOHj3Qzb1bG4v36/aJ/PPujFo4DcsMuWi/bs8Zzr4xask0LDVktF/bNe9fn7Y6TcPSQ+rXKP0KG33eu7WxeL+2o89cWbpwGk4jFhhywX7d3nAUWFi6XBoWGzLZry2zpmvevaZh7SH1a5R+hcHB6oEuPjZ2Z+l+3a7ZnHlmc9k0rDPkQv36+dPujGGkDBdJw4JDJvv14Jp3r2lYe0j9GqVfoePFr4OF+3V7y/zMG6OWTcNCQy7Qry9nCyeJMoynYdEhg/3aoqtd8+40DYsPqV+j9Ct0na8L9+suuuae2VwyDSsNuXi/fpi/rHRj2TQsM2SuX1tkba9595mG1YfUr1H6Fbr82NidRft1F10z7+sfLJeGpYZcoF/3rncPMmUYT8OiQ+b6tZ00bFuDHtOw+pD6NUq/QvsXZdTVowdGi/brdsnm7AvzS6ZhqSEX79fAY1U3lk3DMkPG+vX1Ne8u07D8kPo1Sr9SXsf3bm0s2a+76Jp9YX7BNKw15B36NXLmcOk0LDJkql9bYr1c8+4xDQ2pX6P0K9V1vfh1sGC/JstwsTQsNuQC/dqOt2/+icN0Gk5zHagwZKpf20Ha1qi/NJzmqTykfo3SrxTXe74u2K/RMlwqDasNucT510/jWcLP+3cfzb5zPn5qs+aQoX5t17wPAqu7NDSkfs3Sr9TW971bG0v168sNR5EyXCYN6w25QL+++PxyAXzuhe90Gr4oNWSmX9vHRe1f8+4vDQ2pX8P0K7W1f01G/d27tbFQv6bLcJE0LDjkov26/wSomW24XBqWGjLSr9u+aptNZ2loyIF+jdKvlNbvx8buLNOv8TJcIg0rDrlwv/7G53b0uRfnl0zDQkNG+vXYNe/u0tCQA/0apV+prPvFr4NF+jVfhgukYckhl+7Xl/OG885tLpqGdYZM9OvRa969paEhN/RrlH6lsDXk6yL9urvfKFeG+TSsOeTi/bq7iX7enfPLpmGZIQP92urqdXT1lYaGHOnXKP1KXavI1yX6dYkyjKdh0SGX79fdde+2fZuF07DKkIF+PX7Nu7M0NORIv0bpV8o6ePRAn/dubcT79ZeLlGE4DcsOuXy/7k4bts3bLJyGVYac368tut6cNOwqDQ050a9R+pWyVnDv1ka6X18WbAY+j3VPNA3rDnmHft2u25y1tnTpNCwy5Px+bd/+vln1NTMNpwku8ORD6tco/UpVB6sH+vvY2J1wvy5VhtE0LDykfp3o1wu1b3+ffn3HNMEF9Gsn9CtFrWPx6yDbr4uVYTINKw95h37dLtvsOg2LDKlfD+lXLqdfqWk1+Zrt12VWlY5yaVh6yDv266x7+++Vhk8+pH49pF+5nH6lpP4/NnYn2a8LlmEuDWsPmenXz58+ffhw6raiXi7NG1K/vqZfuZx+paT2j8ik7etUsF+XLMNYGhYfMtGv72RVH2loyA39eki/cjn9SkVruXdrI9evL9H1TduTFErD6kMm+vWdZZkf2stt8zaz09CQG/P79SentON+0TbfPhbqGjPTsI3w1jRimSH1a5R+paD1LH4dxPr15Yaj8E1Rk0walh8y2a8nlmX2lYa1h5zfryd19dEApxQbUr9G6VfqWVW+xvp14TLMpKEhI+tf2xGOd9W2yT607dvMTkNDbujXiX7levqVclZ079ZGql/bQZYqw0waThMOyg4Z6dftusyjpw23Jw1vv2l+Y34aGnKgXyf6levpV8pp/4CM+v3Y2J1Qv+6WbC5UhpE0NGSmX7cnBo+dNjz32hXmp6EhB/p1ol+5nn6lmpV8bOxOpl+/acdYrAwTaWjIUL/uLnsfubLdXpl5ZjOQhoYc6NeJfuV6+pVi1rX4dZDp13aIJZ5J1QTScBqx9pCZft2dGnxz4/z2mvfMM5uJNDSkftWv3E6/Usvq8jXTr9tr3suVYSANDTnI9OtLXB1m167GTj0R6mKBNDSkftWv3E6/Usr68jXTr+0I581LsvlpOE3xjmcfMtSvL3n1Ya+vtncjzbplfpJIQ0Pq12lG/coN9CuVHDx6YAX3bm0k+nW3ZvOsB6ehITdC/bqXXV98+jyG16fdmcRAGUbS0JD6dZpRv3ID/Uola7t3ayPRr7tb5s96cBoaciPVr/vZ9cb8MsykoSH160S/cj39SiEHqwc6/9jYnUS/tgO848FpOA3xnmcfMtavZ7IrUIahNCw/pH6d6Feup1+pY4WLXweBfr3soveD09CQo1y/nsyuvWWctwulYfUh9etEv3I9/UoZ68xX/XpIv17h5S6jF4nzmoNUGhYfUr9O9CvX069UsbKPjd3Rrwf06zU+v+quDzM/EOBFLg1LD6lfJ/qV6+lXqmj/bkzavjVIrH+9h7lpeBf9D5nt18HnT+12+Q+5LhwE03BQdsgF+zVqqTSM6n9I/RqlXylilfdubejXoIL9upBsGi6k/yH1a5B+LUa/UsNKF78O9GuQfk3RrxH6NUi/FqNfKWG9+apfk/Rrin6N0K9B+rUY/UoFa713a0O/BunXFP0aoV+D9Gsx+pUK2r8Zo5V8bOyOfg3Sryn6NUK/BunXYvQrBazxY2N39GuQfk3RrxH6NUi/FqNfeX4rXvw60K9B+jVFv0bo1yD9Wox+5emtO1/1a5J+TdGvEfo1SL8Wo195divPV/2apF9T9GuEfg3Sr8XoV55d+/ditLZ7tzb0a5B+TdGvEfo1SL8Wo195cqu+d2tDvwbp1xT9GqFfg/RrMfqV53awemBNHxu7o1+D9GuKfo3Qr0H6tRj9ylNb++LXgX4N0q8p+jVCvwbp12L0K8/sCfJVvybp1xT9GqFfg/RrMfqVJ7bmj43d0a9B+jVFv0bo1yD9Wox+5Ym1fyombd/q6Ncg/ZqiXyP0a5B+LUa/8rzWf+/Whn4N0q8p+jVCvwbp12L0K0/rGRa/DvRrkH5N0a8R+jVIvxajX3lWT5Kv+jVJv6bo1wj9GqRfi9GvPKmnuHdrQ78G6dcU/RqhX4P0azH6lSfV/pkYrfFjY3f0a5B+TdGvEfo1SL8Wo195TgcfG7vae7c29GuQfk3RrxH6NUi/FqNfeUrPsvh1oF+D9GuKfo3Qr0H6tRj9yjN6onzVr0n6NUW/RujXIP1ajH7lCT1TvurXJP2aol8j9GuQfi1Gv/KE2j8Ro1Xfu7WhX4P0a4p+jdCvQfq1GP3K8zm4d6vtWy/9GqRfU/RrhH4N0q/F6FeezsHqgVU/emCkX4P0a4p+jdCvQfq1GP3Ks3mqxa8D/RqkX1P0a4R+DdKvxehXnsyz5at+TdKvKfo1Qr8G6ddi9CvP5Wk+NnZHvwbp1xT9GqFfg/RrMfqV5/Jc925t6Ncg/ZqiXyP0a5B+LUa/8lSe7N6tDf0apF9T9GuEfg3Sr8XoV57J0y1+HejXIP2aol8j9GuQfi1Gv/JEnjFf9WuSfk3RrxH6NUi/FqNfeR7Pd+/Whn4N0q8p+jVCvwbp12L0K8+j/cswWv3Hxu7o1yD9mqJfI/RrkH4tRr/yNA4ePfAc925t6Ncg/ZqiXyP0a5B+LUa/8iyecvHrQL8G6dcU/RqhX4P0azH6lSfxrPmqX5P0a4p+jdCvQfq1GP3Kc3jafNWvSfo1Rb9G6Ncg/VqMfuU5tH8VRs9z79aGfg3Sryn6NUK/BunXYvQrT+H5PjZ2R78G6dcU/RqhX4P0azH6lWdwsHrgeR49MNKvQfo1Rb9G6Ncg/VqMfuUJPO/i14F+DdKvKfo1Qr8G6ddi9Cvr99T5ql+T9GuKfo3Qr0H6tRj9yuodfGzsc927taFfg/Rrin6N0K9B+rUY/crqPfG9Wxv6NUi/pujXCP0apF+L0a+s3TPfu7Xxt7U/2hdf/HH/mZ794cOEf3j7ulv9D/nHjb/qjT/mP9Wz8W+yfd2t/of8Y8Zf9ca/9z/ds986TPhb29fd6n/If9/4q97429o/78ygX1m55178OvhR+7MB8BR+1P55Zwb9yro9fb7qV4Dnol8D9CurdnDv1lPmq34FeC76NUC/smrtH4PR8z16YPRPtD/eF1/8ef/dnv22YcLf1r7uVv9D/nnjr3rjz/lv9OxPGib8k9rX3ep/yD9n/FVv/Mf/Wz37U4cJ/9T2dbf6H/I/Nv6qN/6J9s87M+hX1uzg0QNPeO/WhucPBHn+QIrnD0R4/kCQ5w8Uo19Zsedf/DrQr0H6NUW/RujXIP1ajH5lvUrkq35N0q8p+jVCvwbp12L0K6tVI1/1a5J+TdGvEfo1SL8Wo19ZrfYPwehJ793a0K9B+jVFv0bo1yD9Wox+Za2e/GNjd/RrkH5N0a8R+jVIvxajX1mpg9UDT/rogZF+DdKvKfo1Qr8G6ddi9CvrVGTx60C/BunXFP0aoV+D9Gsx+pVVqpOv+jVJv6bo1wj9GqRfi9GvrNHBx8Y+8b1bG/o1SL+m6NcI/RqkX4vRr6xRlXu3NvRrkH5N0a8R+jVIvxajX1mhMvdubejXIP2aol8j9GuQfi1Gv7I+hRa/DvRrkH5N0a8R+jVIvxajX1mdWvmqX5P0a4p+jdCvQfq1GP3K2hzcu/X8+apfk/Rrin6N0K9B+rUY/cratP/9j5780QMj/RqkX1P0a4R+DdKvxehXVubg0QPPfu/Whn4N0q8p+jVCvwbp12L0K+tSbPHrQL8G6dcU/RqhX4P0azH6lVWpl6/6NUm/pujXCP0apF+L0a+sSbV7tzb0a5B+TdGvEfo1SL8Wo19Zk/a//VGFe7c29GuQfk3RrxH6NUi/FqNfWZFKHxu7o1+D9GuKfo3Qr0H6tRj9ynqU+tjYHf0apF9T9GuEfg3Sr8XoV1aj4L1bG/o1SL+m6NcI/RqkX4vRr6xF0XzVr0n6NUW/RujXIP1ajH5lJQ4ePVDl3q0N/RqkX1P0a4R+DdKvxehXVmId9259Pfp+0HbMp1+D9GuKfo3Qr0H6tRj9yjqs5N6tgzEHPx68NO1Nc+vXIP2aol8j9GuQfi1Gv7IKq1n82kY86fqE1a9B+jVFv0bo1yD9Wox+ZQ3Wc+/WwTKHt26YXb8G6dcU/RqhX4P0azH6lRVY0cfGHoz6xi2z69cg/ZqiXyP0a5B+LUa/sgLtf/Kj3h89cO4E7E3prV+D9GuKfo3Qr0H6tRj9Sv8OkrD3z906cwL2tjPH+jVIv6bo1wj9GqRfi9GvdG9lH1xw+gRse8OV9GuQfk3RrxH6NUi/FqNf6d3K8vX0Cdgbzxzr1yD9mqJfI/RrkH4tRr/SuRXduzU51a+3zq5fg/Rrin6N0K9B+rUY/Urn2v/cRyv42NjvTy0fuDm99WuQfk3RrxH6NUi/FqNf6dtBDrZ9/fr65OLX288c69cg/ZqiXyP0a5B+LUa/0rU1LX49eep1MOPMsX4N0q8p+jVCvwbp12L0Kz1bUb6eq9dZZ471a5B+TdGvEfo1SL8Wo1/p2Hry9Xy9znporX4N0q8p+jVCvwbp12L0K/06uJO/43u3vj/o7CNmpbd+DdKvKfo1Qr8G6ddi9Cv9Wse9W++ceh3MO3OsX4P0a4p+jdCvQfq1GP1Ktw7Oavb6sbHv1+vchQ/6NUi/pujXCP0apF+L0a/0ag2LX0/V6/7uuQsf9GuQfk3RrxH6NUi/FqNf6VT/+Xry1OuPv99f+tDefTP9GqRfU/RrhH4N0q/F6Ff61P3Hxp6r1/3xZy980K9B+jVFv0bo1yD9Wox+pU/tf+WjDh89cL5eB9vX56e3fg3Sryn6NUK/BunXYvQrXer73q1THxO7jddBOwEbOHOsX4P0a4p+jdCvQfq1GP1Kj3pe/PruqdfJ+K7E6Po1SL+m6NcI/RqkX4vRr3So43y9sF6nE7CRhQ/5fv3mpz/96XjAn37zzS/bvvnCaVh1yHi/fv704cN4vA+fPrddCdk0LDvkkv36i+nAv2ibsyyWhrWG1K9R+pX+9Hvv1sl6/frtGodhb/tqnnC/fjMF14tUeCXTsPCQ4X791A7W5MIrmYaFh1yyX38yHbjvNKw1pH6N0q/0p/0vfNTTvVsHp4X3vD71Ovk6tG432q+vk2v0TXtxnlwalh4y2q+vmmsjFYe5NCw95IL92qKr7zQsNqR+jdKvdOfgHGfb93gXLxzYCZ05DvbrL9uB3kicOEylYfEhg/36ebra/VqmDVNpWHzI5fq1XfPuOw2rDalfo/Qrvely8ev19RqT69eT0RVpw1AaVh8y16+f23He+NDeMEsoDasPuVy/bk8adp2G1YbUr1H6lc70mK+nl722Nywp1q9noivRhpk0LD9krF9PRlemDTNpWH7Ixfp1F109p2G5IfVrlH6lL/3l6/fXLXuNS/XrXnT9dLrT6Jf7dyDNbsNIGhoy1q8vl7w/fNpsf95bwhm48J1Jw/JDLtWvu2vePadhvSH1a5R+pSsHjx7o4d6tBy4caFL92g4yNFfbsfHLl+6a24aRNJxGGZQdMtWvu+jaO0X4ciJxfhtG0tCQS/VrO+hGv2k4zTcqMqR+jdKvdKWze7ceX6+xft3l1au62p1MnHvvfCINDZnq111gHfbVtsXmX5xPpKEhl+rXl2veHadhwSH1a5R+pScHl+rvl4gnnKrXH991XUOoX9sx3p4c3GXXrNOGmTScBik9ZKhft3k1XvDe03bPP7eZSENDLtSvv96OOeo1DSsOqV+j9Csd6Wnxaw+nXkeZfv2mHePIucHt+cSZ5zYDaWjIVL9uTxq+OTu4feF1jV0tkIaGXKhf95ZsDjpNw5JD6tco/Uo/OsrXbuo11a/tEPsrNnfaa1+0zRsF0nAao/aQmX7dnjRsm3tOv3KdQBoacqF+3b/m3W0alhxSv0bpV7rRz8fGdlSvoX7dXto+emZwe0Zx3rX5+WloyEGmX9shjizO3J42nHttPpCG0yC1h1yiX9s172179ZmGNYfUr1H6lW60/2FP2r5H+PrUstfHLMiN9Os2rNrmobNJdrH5aWjIQaRftw94OnJtu580NORggX5t17x/sr323WUaFh1Sv0bpV3rRx71bXZ16HUX6ta3MPHrRe3fZ+9FpaMhBtF/b5oH20ty1pbk0bJsH2kvPP+QC/drOFu7WbnaZhkWH1K9R+pVOdLH4tb96DfVrO8KJrjrfZBean4bTFMWHjPRrOzV45KJ3R2loyEG+X1t0/aLrNKw6pH6N0q/0oYd8PVmvXz+uXvXrln69xufPnz4dL6t29MenoSEH8X5trfWTl3vnO0zDskPq1yj9Shcef+/Woz8m9qTM/VvffPPNT3/aeRoachDq15P6WVp6Rp0h4/3ajjZ81XEaToMVHFK/RulXutD+Rz16xMfG9rhwoIn063nt+Cea7ELz0/C8acanH3Lpfj23oPMai6ZhnSHT/bq75t1zGtYdUr9G6Vd6cFCPbd8ddVyv9+jXXm7tP6vKkEv3azv40QWd11g0DacZKwwZ7tftA582X3ebhoWH1K9R+pUOPHbx66l6ve/HxJ60fL+2i94Pf7TqWVWGXLhftw/dn7uydNE0LDRkuF+nQ43R1W8aTmOVHFK/RulXHu+R+dr1qdfR8v3aDv/4j7Y6Zxrx+Ydctl+3azZnX5lfMg0rDZnt171r3v2mYeUh9WuUfuXhHpiv/dfrHfp1+0T+eXdGLZyGZYZctF+35wxn3xi1ZBqWGjLar+2a969PW52mYekh9WuUfuXh2v+gR3e9d2sN9XqHfm1Hn7mydOE0nEYsMOSC/bq94SiwsHS5NCw2ZLJfW2ZN17x7TcPaQ+rXKP3Kox1EZNt3D519TOxJS/frds3mzDOby6ZhnSEX6tfPn3ZnDCNluEgaFhwy2a8H17x7TcPaQ+rXKP3Kgx2sHrhbOq7j1Oto4X7d3jI/88aoZdOw0JAL9OvL2cJJogzjaVh0yGC/tuhq17w7TcPiQ+rXKP3KYz1k8euK6nXpft1F19wzm0umYaUhF+/XD/OXlW4sm4Zlhsz1a4us7TXvPtOw+pD6NUq/8lCPyNeT9frQj4k9adF+3UXXzPv6B8ulYakhF+jXvevdg0wZxtOw6JC5fm0nDdvWoMc0rD6kfo3SrzzSAz429qCY9/R46nW0aL9ul2zOvjC/ZBqWGnLxfg08VnVj2TQsM2SsX19f8+4yDcsPqV+j9CuP1P63PGn7lrSqhQPNkv26i67ZF+YXTMNaQ96hXyNnDpdOwyJDpvq1JdbLNe8e09CQ+jVKv/JAd753a431umi/JstwsTQsNuQC/dqOt2/+icN0Gk5zHagwZKpf20Ha1qi/NJzmqTykfo3SrzzOfRe/nl722t7QqeX6NVqGS6VhtSGXOP/6aTxL+Hn/7qPZd87HT23WHDLUr+2a90FgdZeGhtSvWfqVh7lnvn6/umWvO0v168sNR5EyXCYN6w25QL+++PxyAXzuhe90Gr4oNWSmX9vHRe1f8+4vDQ2pX8P0K49yx3u31rlwoFmoX9NluEgaFhxy0X7dfwLUzDZcLg1LDRnp121ftc2mszQ05EC/RulXHqX973i06MfGrrpel+rXeBkukYYVh1y4X3/jczv63IvzS6ZhoSEj/Xrsmnd3aWjIgX6N0q88yEFUtn1LOFWv64jXwSL9mi/DBdKw5JBL9+vLecN55zYXTcM6Qyb69eg1797S0JAb+jVKv/IY91n8uvJTr6Ml+nV3v1GuDPNpWHPIxft1dxP9vDvnl03DMkMG+rXV1evo6isNDTnSr1H6lYe4S74+Q70u0q9LlGE8DYsOuXy/7q57t+3bLJyGVYYM9Ovxa96dpaEhR/o1Sr/yCPfI1+eo1wX69ZeLlGE4DcsOuXy/7k4bts3bLJyGVYac368tut6cNOwqDQ050a9R+pVHaP8bHi1z79bXa1/2upPu15cFm4HPY90TTcO6Q96hX7frNmetLV06DYsMOb9f27e/b1Z9zUzDaYILPPmQ+jVKv/IAB23Z9iU9y6nXUbhflyrDaBoWHlK/TvTrhdq3v0+/vmOa4AL6tRP6lfs7WD2QL8qnqtd0vy5Whsk0rDzkHfp1u2yz6zQsMqR+PaRfuZx+5e6WXfx6sl6X/YiE5UT7dZlVpaNcGpYe8o79Ouve/nul4ZMPqV8P6Vcup1+5tyXzdcUfE3tSsl8XLMNcGtYeMtOvnz99+vDh1G1FvVyaN6R+fU2/cjn9yp0t+LGxT7ZwoAn265JlGEvD4kMm+vWdrOojDQ25oV8P6Vcup1+5s/Y/30nbF/Gc9Zrs15fo+qbtSQqlYfUhE/36zrLMD+3ltnmb2WloyI35/fqTU9pxv2ibbx8LdY2ZadhGeGsascyQ+jVKv3JfS927dapef7zWZa87sX59ueEofFPUJJOG5YdM9uuJZZl9pWHtIef360ldfTTAKcWG1K9R+pW7Wmbx67Oeeh2l+nXhMsykoSEj61/bEY531bbJPrTt28xOQ0Nu6NeJfuV6+pV7WiRfn7pec/3aDrJUGWbScJpwUHbISL9u12UePW24PWl4+03zG/PT0JAD/TrRr1xPv3JHS9y79eT1GuvX3ZLNhcowkoaGzPTr9sTgsdOG5167wvw0NORAv070K9fTr9xR+5/uKPOxsc/zMbEnZfr1m3aMxcowkYaGDPXr7rL3kSvb7ZWZZzYDaWjIgX6d6Feup1+5n4PWDATm0596HWX6tR1iiWdSNYE0nEasPWSmX3enBt/cOL+95j3zzGYiDQ2pX/Urt9Ov3E148WuNeg316/aa93JlGEhDQw4y/foSV4fZtauxU0+EulggDQ2pX/Urt9Ov3Es2X0/W69fPVa+hfm1HOG9eks1Pw2mKdzz7kKF+fcmrD3t9tb0badYt85NEGhpSv04z6lduoF+5k2i+Hhxsz5Odeh0l+nW3ZvOsB6ehITdC/bqXXV98+jyG16fdmcRAGUbS0JD6dZpRv3ID/cqdtP/Zjubdu1Vl4UCT6NfdLfNnPTgNDbmR6tf97Hpjfhlm0tCQ+nWiX7mefuU+Dpqz7btJsXrN9Gs7wDsenIbTEO959iFj/XomuwJlGErD8kPq14l+5Xr6lbs4uOA/IzRP1ev6Pyb2pEC/XnbR+8FpaMhRrl9PZtfeMs7bhdKw+pD6daJfuZ5+5R4yi1+/r7TsdUe/HtCvV3i5y+hF4rzmIJWGxYfUrxP9yvX0K3cQyddyCwca/XpAv17j86vu+jDzAwFe5NKw9JD6daJfuZ5+ZXmJj42tWq+Z9a/3MDcN76L/IbP9Ovj8qd0u/yHXhYNgGg7KDrlgv0YtlYZR/Q+pX6P0K8ubf+/WyWWvzx6vA/0aVLBfF5JNw4X0P6R+DdKvxehXFjf33q26p15H+jVIv6bo1wj9GqRfi9GvLG3m4tfi9apfo/Rrin6N0K9B+rUY/crC5uXryXp9uo+JPUm/BunXFP0aoV+D9Gsx+pVlzbp3q+Tzsl7Tr0H6NUW/RujXIP1ajH5lWe1/raPrPja2/MKBRr8G6dcU/RqhX4P0azH6lUUdNOg13alet/RrkH5N0a8R+jVIvxajX1nSrYtfTy97bW8oRL8G6dcU/RqhX4P0azH6lQXdlq81Pyb2JP0apF9T9GuEfg3Sr8XoV5ZzU75aOPCKfg3Sryn6NUK/BunXYvQry2n/Sx1deO+Wen1Dvwbp1xT9GqFfg/RrMfqVxRykaNt33ql6/XHBZa87+jVIv6bo1wj9GqRfi9GvLOVg9cAFZ0+dej1Ovwbp1xT9GqFfg/RrMfqVhVy5+FW9nqJfg/Rrin6N0K9B+rUY/coyrstX9Xqafg3Sryn6NUK/BunXYvQri7jqY2O/PrXsVbwO9GuQfk3RrxH6NUi/FqNfWcRBkbZ9xzn1+g79GqRfU/RrhH4N0q/F6FeWcPG9W+r1Xfo1SL+m6NcI/RqkX4vRryzg0sWvJ+v1a/W6o1+D9GuKfo3Qr0H6tRj9+pvfXvZo0vY0/q/axuVu/LaIB/3sC/P14G17nHo9oF+D9GuKfo3Qr0H6tRj9+sOFj9bXrxe76N4tCwcupV+D9GuKfo3Qr0H6tRj9OvyX1L56z/hfnX593/hTmxMfG6teL6dfg/Rrin6N0K9B+rWY8v361fBfUvvyPeN/dfr1XQdpejRHT9Vr6Y+JPUm/BunXFP0aoV+D9Gsx1fv1h81/Se3r94z/1enX97y3+NWp1yvp1yD9mqJfI/RrkH4tpni/jvmqX5PeyVf1ejX9GqRfU/RrhH4N0q/FFO/XzeoB/Zp0Pl/V6w30a5B+TdGvEfo1SL8WU7tfv53+S2pb7xnfq1/PG39i8/rerZPLXsXrOfo1SL+m6NcI/RqkX4sp3a/T6gH9GnRQqG3fxKnXW+nXIP2aol8j9GuQfi2mdL+2/5D0a8zB6oH9LlWvt9OvQfo1Rb9G6Ncg/VpM5X6dFr8O2vZ7xvfq1zNOLX49Wa8+JvYC+jVIv6bo1wj9GqRfiyncr9vVA/o15US+Huze49TrZfRrkH5N0a8R+jVIvxZTt19f8lW/Zhx8bOz23i0LB2bTr0H6NUW/RujXIP1aTN1+3a0e0K8hR+7dUq8B+jVIv6bo1wj9GqRfiynbr3unX/VrxNt7t04vex2/gcvo1yD9mqJfI/RrkH4tpmq/7uerfk14vfj1e8teQ/RrkH5N0a8R+jVIvxYT69cfvh0vyH/11bdtx74fvp0+KeCrb4+9+gh7qwdu79f2Zz71p26md7SNI779anuUb3/4oe27wLeXfN/0ett43w/jr+nsn+aUV/lq4UCOfg3Sryn6NUK/BunXYm7v1+kM5hROU/dsva6fHw5isYuCbfO2s7Bt53vG9+5i8PDPvKnI9sJr06tt47VtAe9c9tfz5tu++PZowo4vHfvZ2+H3X9v/A13evJODe7e+Vq9J+jVIv6bo1wj9GqRfi4n066uS21bt5OBK/ejUycL7aTN9O/XdLf162OTN8eg789Kxg1xQsEe/7ejf67j/yM/eHmHvpdd/ouv+74z2TaO//0S9/tiy15vo1yD9mqJfI/RrkH4t5vZ+naJ1+OJtoO530Zu2HVwYsMe+9airT+lO3zYMOX3R9r5nfO/0Jzs12rFJxheONOTpP9/5v58T9brx5hvHvW9/9rF8bbteHBv5lFPnW/c49Xor/RqkX1P0a4R+DdKvxczv12P5ugu5o6cpLw3Yxfq1DTVMMX3Rdr9nfO+m6o7/kUdHou/U/jMdeiYdz/zsweu/iXHnm6Ntf/Leu48e9sL/O+P0JxS8UK+3069B+jVFv0bo1yD9Wszt/TpG0FcvLTTeQ7S7o2lqn10VTaszX5aMXlRGS/Vrm2ozw/TVtPtd43uHGHxpvXbj1Muf+lh6Ht/9Uvbbm9p+2FtR+9Wpv6C9H/RtW/K6/32vf86xfbvx939GO+54yJc/zakpXnk3X9XrHPo1SL+m6NcI/RqkX4u5vV/H38G3Uwzt51aLqU00tVI68eq7FurX7VSbr6cvx93vG9/71a7/Du+YOh19487Xf+BdRB6W6m73iXTc/ZBXf+S9hD34xnHP4c/e/Yj9N7adu13t51z0azq8d+st8TqTfg3Sryn6NUK/BunXYmb269Q5h63VWmgorOmLU6++a6F+bW02fr335fvG937V/gBvz5Bux30dfcd2Ho3I0faVo+m4zddjLx798W/37I5/8JOnb97bNb7t6Axvjd97inqdTb8G6dcU/RqhX4P0azE39+uuwN5WzvRSW1rwpvOmVLokjZbp13bUaazp6/HL943vbQn5pjsH2yUBr/5sx/Ydf+foxFE2tq8c++Evv5H9b3yzox3i9dHHfQeHHY52bLojzt27pV4D9GuQfk3RrxH6NUi/FjO/X0921hiKJ19tG3fX5m7JO21MX79revPoeEEez9Iju46+b6e9+qbK2+gnvmvQvnFvuHF77xvaO14fYzpy22h+OP1zDpxZ/Pq1ek146df/+v+5Z3/DMOHf0L7uVv9D/tfGX/XGP/a/7dlfOUz4V7avu9X/kP/Y+Kve+Gf+Dz3764cJ//r2dbf6H/KfGX/VG/o14OZ+3Z4cPVo57bVB27Fv+s7rrvnnjD98N/W01TbeM715o+14621Bvm3I90P02FEG095zWTl94+l+PZGv00DnDnzayXx16jXlR+1vFICn8KP2zzszzO7Xo2cit510/NXxldtqabZXaThttY33TG8eHP1TTabjH/zhTuw59zfQpmxbzZFDvzG858zPbod9O//t/XoqX9Vrjn4FeCr6NeDmfm0tdPw06jaUzrx6Uy3N1s587uaaNtvGe6Y3n83XNz9gMO7Y/+O29G9bx7SjHPygtq9tnfJqbez4Le1ntwMcm396qW1c5X88fudrv129BulXgKeiXwNu7tf2S2hbr2xPzrbNVx7Yr+NUez972m4b75ne/M7kLd3b1sa4vf9N447zCyiOJO504LPf9db4PdPPPpOv7bVzXX7KqfOvPio2R78CPBX9GjCzX0/kVMuvE68+rl9bXL6E2rTdNt4zvfm9zJvetPdHH7f3/rjTX847f/7xPfs/akrMa//WXr5pm6/Hj3DmpXecfPqAgk3RrwBPRb8G3NqvLYdOtFzr1xOvPqxf3w497Wgb75ne/N7gb/L09fZFJ1Kno+y9afqud9r5jfGbNj+7lfup6aeX3/ujHXX68VlfS9gI/QrwVPRrwMx+bVuvtX5tW689ql/bzPs/edrTNt4zvfndhJze1jYG4+beD329fdz4rjNHucz2u97J1+0v7OrjD859+paCTdCvAE9FvwbM69dTJxGnXDr16tkXF9Qirm2N3u4548I3Tz/mJXPHzZcyfHNm9bjpbbujnP/7Pmn8rvZJEuNXp7R3nPhohLPOPAB2oGBn068AT0W/Btzar6/y6pXXCXdofPH+/drOMR5MNe1qG+8Z3/v+KcrXgTpu3tivu7ed//s+afyu7WeGnfv2dm76pt/L+YBVsHPpV4Cnol8DlunX8cWTWTi+ePd+bYV2+HOnfW3jPeN73597+kEvwfpqc4rJtnHaqxOuF37Xa+N3bZ2t313A3vCb+fvbd55iGcEs+hXgqejXgFv79XxPjS+eOlM5ldLVpxLnGn/q66GmnW3jPeN7L6i78X1z+/XVtwX69Z2/8ZeAvX4Rwel7uLYU7O1ePj/2v/3/7NnfPUz4d7evu9X/kP+d8Ve98a/9/3r2DwwT/gPt6271P+S/Nv6qN/6F/2vP/uZhwr+5fd2t/of8F8Zf9YbPjw24tV/H38D5Qj1Vehf363SO9wKXnDGcAvD1j512to33jO+9YO7xfSf79dXmSYfvO9y62Phto/e/94f2VzS4tmDP3cO1pWBv9dKvv/s3evY7hgl/R/u6W/0P+bvHX/XG7/m3evY7hwl/Z/u6W/0P+XvGX/XGv/z/6NnfPkz4t7evu9X/kP/y+Kve0K8Bs/r1fKGeenXK0rZxTrJf29nF11027W0b7xnf+7z9evAXfsn/SbDnIGBPnY1VsLfRr0H6NUW/RujXIP1azI39ev4c6vlXH9GvLV/fRNy0u228Z3zvWvv1snOqe6dg254LHdzD9fXJT+WSsDfQr0H6NUW/RujXIP1azCL9OoXnqVfHRrokj4L92rqsbb04sfu48b0XnJgc3/fyBzy/edLh+w63LjZ+29YlAbu3iOCSt784SNbvTz+TQMFeTb8G6dcU/RqhX4P0azE39uv5Qj1/hnV88ZIUy/VrO9Lbeaf9beM943sz/XrBjxzfdtivlw76Yvyur7ZNelGRvhTsdQF7sGrg+zNP1VKwV9KvQfo1Rb9G6Ncg/VrMrH5tG29MBdQ23hhfvCADc/3aVg+8571eG9/0fnhPP+1lpnHz5dvO/+W8GN+2+7bpu64rysH4XS+fX3DZ9+/+3tv2ZQ6XwG72WEaQoV+D9GuKfo3Qr0H6tZgb+/WCQj0ZeuOrl/RrzPgT3xfq1yn/Tvbr9PK7JfnqKBd+12vjdw0/+7qA3b79/T/rvoOAbYWqYAP0a5B+TdGvEfo1SL8Wc2O/jr+A2wr1/NLZJWzj7T0X9ev7JyVfp+a4+fJ39fr07AnT0LujvI7iC43ftfnZ27+DC5O0vb1tXeggVreBahnBbPo1SL+m6NcI/RqkX4uZ06/nC7Wbfp1+4AUu69d3G3J6W9sYjJuv+/XdNHz1rgu/67Xxm8afPQXwlQF7ZS8ftOr3beeZZQTtDZynX4P0a4p+jdCvQfq1mNv6dU6hTiHVNu5h/HmXuKxf3wvAN2dKx+297xq33/th01Gu/a43xm+ajrLN+AsD9pr37ry+h6uxEHYW/RqkX1P0a4R+DdKvxczp1/OF2k2/njPOcukw05vfa8g3bxq390rwTeAe8+b85/Rd1/69jd/TfvZ1ATsN0DYuNn5TM97DtXWqYH+sYN+lX4P0a4p+jdCvQfq1mOX6tW28MYbRtSf2ljJOemW/np/9bWeO2/vfNO44n8Fvj9Lq88or+uP3bH/2NmDfK/DR+V/iKW8fQrBjIeyt9GuQfk3RrxH6NUi/FnNbv15QqCdfHV+8MsMWMw5zaaVNbz4//JHMHHfs9+v0t3c2g48sP21J+97Z38PXx2/Z/aRrAnZ6b9u43EGlvipTC2Fvo1+D9GuKfo3Qr0H6tZgl+nV88WSeja+uul/P5d8UngdHHHcc/HWMe879HUxHOfwrbPF5Nns333hw2Nff0sa7IGBv7NezAfub358sWAl7mn4N0q8p+jVCvwbp12Ju69cxg24r1KmLLjgBeBfjMFf36+nxWx8evD7uOfjLail68ijHT7VeELDTj9/7vnF7/zsuDtjz/yfKGSfu4dqyjOBq+jVIv6bo1wj9GqRfi7mtX8e///OF+tT9emr+VoeHf/Zx12F1HsvcFy1f34Rq+67TAfv2x4/bB99wPGB/eHPQ8U2nfoln7Qfs4RLYiYK9kn4N0q8p+jVCvwbp12IW69dThTrF2Yr7dQrAY3+AH44H5sl9J/4KT2fq8fbcaudnD77xzY6Xg+zvHb711Y+b8Ws6cw9Xc3oh7NvztejXJP2aol8j9GuQfi3mpn6dc4b15uvSixiHuapfv2rf8zYvj/XjxrGdu/e++WvaRvCxobbfdfSv/liXnv/ZbXvwanP3nrZ1pWMfJPuahbCX069B+jVFv0bo1yD9WsyMfr2tUKfMahsPNw5zZb9u++8wIndt+aoWjzfky9u/Pfhr3NXr8b/d3Xe9+raXen31g47sejnKbn/75pc/UFvBcOo3/J6DOD0VpJYRXEq/BunXFP0aoV+D9GsxN/Xr+YvL5/t1fPFN4z3KOM2V/bqXqq0if/i2Bd/g7R/t+O6XFB1adDzMcJRdhZ78y315x/bbDr/v1c85tu/lZ29faJvtz/PD9g/z9o9yqYM2Pbkm4OuDW732KNgD+jVIv6bo1wj9GqRfi5nRr23jjTGmTrbP+K2nlh7c3TjNtf26d5b0jSN/7hP7zxzkXDm+lPIxr/9ix51Hfva4f9AK+OgoZ4Z410GZtn1H+GDZS+jXIP2aol8j9GuQfi3mpn6dcqdtvDG+eDJ+xldX3q8Hp0EPHDttOr5w7O/jZIqe/evZO3H72tvVtNPutrFnV6ztO478ed4e7Arv38O1dapgfbDsjn4N0q8p+jVCvwbp12Ju6tfxr/+2Qp3qa04aRY3T3NCvx09ZHv9Djy8d/du68bzniYI9FpzTC23jwKuAfdPS705x3iX3cDUWwr5Dvwbp1xT9GqFfg/RrMbf36/lCffZ+PRKfp/7I44sncnC31nTrq1NHOfDm20593/Ra2zj0KmB/c28R7WD2b+igSt8pUR8se5Z+DdKvKfo1Qr8G6ddibupXJt9++9UUfV9t76W6we72q6++uixeJy93bQ3fdsX3ndP+ONvb0uY5aNL3nuvqg2XP0K9B+jVFv0bo1yD9Wox+ZSHvfJDsa5YRnKJfg/Rrin6N0K9B+rUY/cpS2v9OR2fv4WoU7HH6NUi/pujXCP0apF+L0a8s5fKHEGz5YNlj9GuQfk3RrxH6NUi/FqNfWcxBjV54EtVC2Df0a5B+TdGvEfo1SL8Wo19Zzi0BaxnBa/o1SL+m6NcI/RqkX4vRryzoynu4Gh8se0C/BunXFP0aoV+D9Gsx+pUl7ZfoRUtgJz5Ydo9+DdKvKfo1Qr8G6ddi9CtLuv4eri0Fu6Vfg/Rrin6N0K9B+rUY/cqirvgg2dcshJ3o1yD9mqJfI/RrkH4tRr+yrJvu4Wp8sOyGfg3Sryn6NUK/BunXYvQrC7vtHq7GQlj9GqVfU/RrhH4N0q/F6FeWdhCwbd8VThXsj6sUrH4N0q8p+jVCvwbp12L0K0u7/R6upvhCWP0apF9T9GuEfg3Sr8XoVxY34x6upvRCWP0apF9T9GuEfg3Sr8XoV5Z3UJ+3Jef3dRfC6tcg/ZqiXyP0a5B+LUa/cgcH8XntPVxbVZcR6Ncg/ZqiXyP0a5B+LUa/cg+zHkKwU7Ng9WuQfk3RrxH6NUi/FqNfuYv2P9rRLfdwNacXwt4cxd3Tr0H6NUW/RujXIP1ajH7lLmY/hGCn3EJY/RqkX1P0a4R+DdKvxehX7uMgO+elZrFlBPo1SL+m6NcI/RqkX4vRr9zJQXXOvNr/9cF62j3PWLD6NUi/pujXCP0apF+L0a/cS+YerqbQB8vG+/Xzpw8fxuN9+PS57UrIpmHZIZfs119MB/5F25xlsTSsNaR+DdKvxehX7mY/YGctgZ2cKthn+2DZcL9+agdrcuGVTMPCQy7Zrz+ZDtx3GtYaMtivH9uBjmtvulUqDYsPqV+j9Ct3k7uHq6mxEDbar6+aayMVh7k0LD3kgv3aoqvvNCw2ZLBfv2wHOq696VapNCw+pH6N0q/cz/wPkn2twgfLBvv183S1+7VMG6bSsPiQy/Vru+bddxpWGzLYr+04J7Q33SqVhtMwp7Q33ar/IfVrlH7ljg5qM5OYz//Bsrl+/dyO88aH9oZZQmlYfcjl+nV70rDrNKw2pH7d1950K/1ajH7lnqL3cG09+TKCWL+ejK5MG2bSsPyQi/XrLrp6TsNyQ+b69fyizU7SsPqQ+jVKv3JXBwHb9s331AUb69eXS94fPm22P+8t4Qxc+M6kYfkhl+rX3TXvntOw3pD6dV971630azH6lbuK38PVPPEHy6b6dRdde6cIX04kzm/DSBoacql+bQfd6DcNp/lGRYbM9ev5m446ScPqQ+rXKP3KfeXv4dp61oWwoX7dBdZhX21bbP7F+UQaGnKpfn255t1xGhYcMtev7TDftc2wUBpOM9YdUr9G6Vfu7CAzs2n5nMsIQv26zavxgveetnv+uc1EGhpyoX799XbMUa9pWHHIeL+2rbRsGrattP6H1K9R+pV7O6jM8NX9Z/xg2Uy/bk8avjk7uH3hdY1dLZCGhlyoX/eWbA46TcOSQ8b6tS3a/LJtpmXSsPyQ+jVKv3J3izyEYOv5Plg206/bk4Ztc8/pV64TSENDLtSv+9e8u03DkkPq1yD9Wox+5f7a/4JHwXu4tp6sYDP92g5xZHHm9rTh3GvzgTScBqk95BL92q55b9urzzSsOWSsX9tNRx/bZlomDcsPqV+j9Cv3t9RDCHaeaiFspF+3D3g6cm27nzQ05GCBfm3XvH+yvfbdZRoWHTLdr20rLpqGbSuu/yH1a5R+5QEO+nKRpnyiD5aN9mvbPNBemru2NJeGbfNAe+n5h1ygX9vZwt3azS7TsOiQsX5tR2lbcZk0nGYsPKR+jdKvPMJBXS7zhNanWQgb6dd2avDIRe+O0tCQg3y/tuj6RddpWHXIVL9+Nx1kqZWlmTQ0pH6N0q88xKL3cG2dKtgfr6pgM+tff+Pz50+fjpdVO/rj09CQg3i/ttb6ycu98x2mYdkhU/36cTrIUitLM2loSP0apV95jP2AXWIJ7ORUwa5pGUGoX0/qZ2npGXWGjPdrO9rwVcdpOA1WcMhUvy58Z1QmDQ2pX6P0K4+x+D1czfoXwi7dr+cWdF5j0TSsM2S6X3fXvHtOw7pDhvu1beUl07Bt5fU/pH6N0q88yHIfJPvK9ytfCLt0v7aDH13QeY1F03CascKQ4X7dPvBp83W3aVh4yFS/toO0rbxIGk4zVh5Sv0bpVx7lICuXTclVLyNYuF+3D92fu7J00TQsNGS4X6dDjdHVbxpOY5UcMtSvBzcdffxyOof45cfcR/gn0tCQ+jVLv/Iwd7mHq1lxwS7br9s1m7OvzC+ZhpWGzPbr3jXvftOw8pChfv04HePjJrmmL5tUeCXS0JD6NUu/8jgHAdv2Leb0QtiF03muRft1e85w9o1RS6ZhqSGj/dquef/6tNVpGpYeMtSvLbU+fnfYXBuZG5ESaWhI/ZqlX3mce93DtbXOhbAL9uv2hqPAwtLl0rDYkMl+bZk1XfPuNQ1rD5nt1+MSJw6DaXhcjSH1a5R+5YHudg/X1hqXESzUr58/7c4YRspwkTQsOGSyXw+uefeahrWHDPVrO8YJgTZMpOE0zCklhtSvUfqVRzroybs05NcHixb2dFuwC/Try9nCSaIM42lYdMhgv7boate8O03D4kPepV8DHya1fBqWGFK/RulXHuogYO+zEHVtHyy7eL9+mL+sdGPZNCwzZK5fW2Rtr3n3mYbVh8z068d2jNHHcZ3md9/t75x9cjOQhobUr2H6lce650MIdk4VbJcfLLtAv+5d7x5kyjCehkWHzPVrO2nYtgY9pmH1IeP9un+TUXsW1MbcNsymYdkh9WuUfuXB2v+cR3e4h6tZ0ULYxfs18FjVjWXTsMyQsX59fc27yzQsP2SmX3c3Hb2+vP1yN1LbcatAGhpSv4bpVx7s3g8h2FrNB8veoV8jZw6XTsMiQ6b6tSXWyzXvHtPQkJl+bYc4sjpzl137ZxNvEEjDaY7aQ+rXKP3Kox105D3jcSUfLLtAv7bj7Zt/4jCdhtNcByoMmerXdpC2NeovDad5Kg8Z7de30bWXXW37Rrk0LD2kfo3SrzzcQUbe98ME1rCMYInzr5/Gs4Sf9+8+mn3nfPzUZs0hQ/3arnkfBFZ3aWjIUL9+993Hj18eja6XlZvzFpcG0tCQ+jVMv/J4D7mHq+m/YBfo1xefXy6Az73wnU7DF6WGzPRr+7io/Wve/aWhIVP9es7Hdvx55zYDaXhOlSH1a5R+pQP7AXvHJbCT3j9YdtF+3X8C1Mw2XC4NSw0Z6ddtX7XNprM0NORg+X7dLelsm7dZOA2rDKlfo/QrHXjUPVxbXS+EXbhff+NzO/rci/NLpmGhISP9euyad3dpaMjBHfp1e9pw1rX5pdOwyJD6NUq/0oODgHxENHa8jGDpfn05bzjv3OaiaVhnyES/Hr3m3VsaGnLjDv26Xbc56+b+pdOwyJD6NUq/0oWHB2y/Hyy7eL/ubqKfd+f8smlYZshAv7a6eh1dfaWhIUf6daJfuZ5+pQ+PvIer6fSDZZfv191177Z9m4XTsMqQgX49fs27szQ05OgO/XrumVAXWzoNiwypX6P0K504CNi27+56LNjl+3V32rBt3mbhNKwy5Px+bdH15qRhV2loyIl+baYZ9StX0K904tH3cDX9LYS9Q79u123OWlu6dBoWGXJ+v7Zvf9+s+pqZhtMEF3jyIfVrM82oX7mCfqUXBwH7wPOdvX2wrH6d6NcLtW9/n359xzTBBfTrbNOM+pUr6Fe68fh7uJq+FsLeoV+3yza7TsMiQ+rXQ/p1tvYD9Ots04z6tRf6lX4cZONjPzzgVMH++P4Fe8d+nXVv/73S8MmH1K+H9Ots7Qfo19mmGfVrL/QrHengIQQ7pwr27meGM/36+dOnDx9O3VbUy6V5Q+rX1/TrBTaf2v/x46nH6rcf8OhHUxlSv4bpV3rS/rc9etw9XE0nC2ET/fpOVvWRhobc0K+H9Ou7PrYjnKiu7cuPTUNDbujXKP1KT3q5h2urh4WwiX59Z1nmh/Zy27zN7DQ05Mb8fv3JKe24X7TNt4+FusbMNGwjvDWNWGbIRL++81j9L9vLbfM2s9PQkBv6NUq/0pWDYOwgYDtYRpDs1xPLMvtKw9pDzu/Xk7r6aIBTig2Z7NcTXdVenLWyNJeGtYfUr1H6lb4c9OKDl8BOHl2wkfWv7QjHu2rbZB/a9m1mp6EhN/TrRL9erh3h+GXv+Re9N2anoSE39GuUfqUzPd3D1ZxeCHuP+SL9ul2XefS04fak4e03zW/MT0NDDvTrRL9e7mxYRa7MB9LQkAP9GqVf6c1+wD78Hq6tkwW7/EnYSL9uTwweO2147rUrzE9DQw7060S/Xm532fvIacNtkc27Mh9IQ0MO9GuUfqU3nXyQ7GvXLyMInZyN9OvusveRK9vtlZlnNgNpaMiBfp3o1yu0QxxJq3NBdo35aWjIgX6N0q9056AUe7iHq7nyeVpfh9o706+7U4NvbpzfXvOeeWYzkYaG1K/69QbbU4Nvrnvvomvmmc1EGhpSv4bpV/rTa8Be98GyPw6dPM7060tcHWbXrsZOPRHqYoE0NKR+1a+3aMd4nV276Jq5sDSShobUr2H6lQ51eA/X1qmCffPBsps3Rto71K8vefVhr6+2dyPNumV+kkhDQ+rXaUb9epWXvPpy7/L29oaj2RfmM2loSP2apV/p0UHAtn29OFWwr2p1fFsiYEP9upddX3z6PIbXp92ZxEAZRtLQkPp1mlG/Xuclu4buGhvr40tzvbkYfr1EGhpSv2bpV3rU6T1czUULYac9gZPHqX7dz6435pdhJg0NqV8n+vU6e431xtx1pYNIGhpSv0bpV7rU2wfJvvL9yYLdzrp9w/yAjfXrmewKlGEoDcsPqV8n+vVKuzuP3ph/YjOVhuWH1K9R+pU+HQRifwH77jKCthE4eZzr15PZtbeM83ahNKw+pH6d6Ndr7V34PjBvxWYTSsPqQ+rXKP1Kpw76sK97uJpzBfvy2uyADfbr/l1GLxLnNQepNCw+pH6d6NfrHTtxGLgsv5FKw+JD6tco/UqvOn4IwdbphbDt/92Ye/I42q+/8flVd32Y+YEAL3JpWHpI/TrRrzf47nV3Ja7Kj3JpWHpI/RqlX+lV3/dwbZ08CftiZsBm+3Xw+VO7Xf5DrgsHwTQclB1ywX6NWioNo/ofMtuvg+8+ttvlv/wy1oWDYBoOyg6pX6P0K93q/B6urfcLdt7J43i/LiSbhgvpf0j9GlSwXxeSTcOF9D+kfo3Sr/TroAz7Ddjf/PpgqcMRswJWvwbp1xT9GqFfg/RrMfqVjh0EbJ9LYCcnF8JOZq1+0K9B+jVFv0bo1yD9Wox+pWcruIdr62zBzglY/RqkX1P0a4R+DdKvxehXurYfsN3ew9WcK9gZqx/0a5B+TdGvEfo1SL8Wo1/p2joeQrB1ZhnB7QGrX4P0a4p+jdCvQfq1GP1K3w6KsON7uJqTHyx7++oH/RqkX1P0a4R+DdKvxehXOreygD29jODWgNWvQfo1Rb9G6Ncg/VqMfqV3K7qHa3SqX29d/aBfg/Rrin6N0K9B+rUY/Ur31nQP1+DkCoIbZ9evQfo1Rb9G6Ncg/VqMfqV767qH6zfboEfctvpBvwbp1xT9GqFfg/RrMfqV/q3kg2QnJ0+/Dm6aXb8G6dcU/RqhX4P0azH6lRVY0z1cbcrjblm+q1+D9GuKfo3Qr0H6tRj9yhocBGzX93CdO/06aO+6hn4N0q8p+jVCvwbp12L0K6uwmocQtBFPuWH5rn4N0q8p+jVCvwbp12L0K6uwlnu4jp5+/fHo640b0lu/BunXFP0aoV+D9Gsx+pV1WMk9XPupOmr7Z9CvQfo1Rb9G6Ncg/VqMfmUl1nQPV5R+DdKvKfo1Qr8G6ddi9CtrsZ57uLL0a5B+TdGvEfo1SL8Wo19ZjbV9kGyIfg3Sryn6NUK/BunXYvQr67GyD5IN0a9B+jVFv0bo1yD9Wox+ZT1W9kGyIfo1SL+m6NcI/RqkX4vRr6xIyXu49GuQfk3RrxH6NUi/FqNfWZOKAatfg/Rrin6N0K9B+rUY/cqqFLyHS78G6dcU/RqhX4P0azH6lXWpdw+Xfg3Sryn6NUK/BunXYvQr61LvHi79GqRfU/RrhH4N0q/F6FdWZiUfJJujX4P0a4p+jdCvQfq1GP3K2lS7h0u/BunXFP0aoV+D9Gsx+pXVKfZBsvo1SL+m6NcI/RqkX4vRr6xPrYcQ6Ncg/ZqiXyP0a5B+LUa/sj617uHSr0H6NUW/RujXIP1ajH5lhUrdw6Vfg/Rrin6N0K9B+rUY/coaVbqHS78G6dcU/RqhX4P0azH6lVUqdA+Xfg3Sryn6NUK/BunXYvQr61TnHi79GqRfU/RrhH4N0q/F6FdWqv0zMHrqe7j0a5B+TdGvEfo1SL8Wo19ZqTIPIdCvQfo1Rb9G6Ncg/VqMfmWtqtzDpV+D9GuKfo3Qr0H6tRj9ymoVCVj9GqRfU/RrhH4N0q/F6FfWq8Y9XPo1SL+m6NcI/RqkX4vRr6zYfsA+7RJY/RqkX1P0a4R+DdKvxehXVqzEPVz6NUi/pujXCP0apF+L0a+sWYUPktWvQfo1Rb9G6Ncg/VqMfmXVCtzDpV+D9GuKfo3Qr0H6tRj9yro9/wfJ6tcg/ZqiXyP0a5B+LUa/snIHDyFo+56Kfg3Sryn6NUK/BunXYvQrK/f093Dp1yD9mqJfI/RrkH4tRr+yds9+D9df2/5oX3zxh/4HevYHDhP+ge3rbvU/5B86/qo3fut/qGd/8DDhH9y+7lb/Q/7W8Ve98Yf9KT37g4YJ/6D2dbf6H/IPG3/VG39t++edGfQrq/fk93D9qP3JAHgKP2r/vDODfmX9nvseLv0K8FT0a4B+5Qk89QfJ6leAp6JfA/Qrz6D9mzB6tnu4/un25/rii//Ef69nf9ow4Z/Wvu5W/0P+J8df9cZf9D/q2Z8xTPhntK+71f+Qf9H4q974c/+bPftThgn/lPZ1t/of8s8df9Ub/3T7550Z9CvP4JkfQuD5A0GeP5Di+QMRnj8Q5PkDxehXnsIT38OlX4P0a4p+jdCvQfq1GP3Kc3jegNWvQfo1Rb9G6Ncg/VqMfuVJPO09XPo1SL+m6NcI/RqkX4vRrzyL/YB9piWw+jVIv6bo1wj9GqRfi9GvPItnvYdLvwbp1xT9GqFfg/RrMfqVp/GkHySrX4P0a4p+jdCvQfq1GP3K83jOe7j0a5B+TdGvEfo1SL8Wo195Ik95D5d+DdKvKfo1Qr8G6ddi9CvP5CBg2761069B+jVFv0bo1yD9Wox+5Zk84z1c+jVIv6bo1wj9GqRfi9GvPJUnvIdLvwbp1xT9GqFfg/RrMfqV5/J893Dp1yD9mqJfI/RrkH4tRr/yZA4C9hnu4dKvQfo1Rb9G6Ncg/VqMfuXZPNtDCPRrkH5N0a8R+jVIvxajX3k67R+I0RPcw6Vfg/Rrin6N0K9B+rUY/crTebKHEOjXIP2aol8j9GuQfi1Gv/J8nuseLv0apF9T9GuEfg3Sr8XoV57QUwWsfg3Sryn6NUK/BunXYvQrz+iZ7uHSr0H6NUW/RujXIP1ajH7lKe0H7MqXwOrXIP2aol8j9GuQfi1Gv/KUnugeLv0apF9T9GuEfg3Sr8XoV57T83yQrH4N0q8p+jVCvwbp12L0K0/qae7h0q9B+jVFv0bo1yD9Wox+5Vk9yz1c+jVIv6bo1wj9GqRfi9GvPK2DgG37Vki/BunXFP0aoV+D9Gsx+pWn9ST3cOnXIP2aol8j9GuQfi1Gv/K8nuMeLv0apF9T9GuEfg3Sr8XoV57YU9zDpV+D9GuKfo3Qr0H6tRj9yjM7CNiV3sOlX4P0a4p+jdCvQfq1GP3KU3uChxDo1yD9mqJfI/RrkH4tRr/y3Nq/FqN13sOlX4P0a4p+jdCvQfq1GP3Kc1v/Qwj0a5B+TdGvEfo1SL8Wo195cqu/h0u/BunXFP0aoV+D9Gsx+pVnt/Z7uPRrkH5N0a8R+jVIvxajX3l6K7+HS78G6dcU/RqhX4P0azH6lee3H7DrWwKrX4P0a4p+jdCvQfq1GP3K81v3PVz6NUi/pujXCP0apF+L0a8UsOp7uPRrkH5N0a8R+jVIvxajX6lgzQGrX4P0a4p+jdCvQfq1GP1KCSu+h0u/BunXFP0aoV+D9Gsx+pUaDgK27VsH/RqkX1P0a4R+DdKvxehXaljvPVz6NUi/pujXCP0apF+L0a8UcRCwa1oCq1+D9GuKfo3Qr0H6tRj9ShVrvYdLvwbp1xT9GqFfg/RrMfqVMlb6QbL6NUi/pujXCP0apF+L0a/Usc6HEOjXIP2aol8j9GuQfi1Gv1JI+6djtJp7uPRrkH5N0a8R+jVIvxajXylklQ8h0K9B+jVFv0bo1yD9Wox+pZI13sMV79fPnz58GI/34dPntishm4Zlh1yyX38xHfgXbXOWxdKw1pD6NUi/FqNfKWWF93CF+/VTO1iTC69kGhYecsl+/cl04L7TsNaQwX792A50XHvTrVJpWHxI/RqlX6llffdwRfv1VXNtpOIwl4alh1ywX1t09Z2GxYYM9uuX7UDHtTfdKpWGxYfUr1H6lWL2A3YVS2CD/fp5utr9WqYNU2lYfMjl+rVd8+47DasNGezXdpwT2ptulUrDaZhT2ptu1f+Q+jVKv1LM6u7hyvXr53acNz60N8wSSsPqQy7Xr9uThl2nYbUh9eu+9qZb6ddi9CvVrO0erli/noyuTBtm0rD8kIv16y66ek7DckPm+vX8os1O0rD6kPo1Sr9SzsoCNtavL5e8P3zabH/eW8IZuPCdScPyQy7Vr7tr3j2nYb0h9eu+9q5b6ddi9Cv1rOserlS/7qJr7xThy4nE+W0YSUNDLtWv7aAb/abhNN+oyJC5fj1/01EnaVh9SP0apV8p6CBg275uhfp1F1iHfbVtsfkX5xNpaMil+vXlmnfHaVhwyFy/tsN81zbDQmk4zVh3SP0apV8paFX3cIX6dZtX4wXvPW33/HObiTQ05EL9+uvtmKNe07DikPF+bVtp2TRsW2n9D6lfo/QrFR0EbOdLYDP9uj1p+Obs4PaF1zV2tUAaGnKhft1bsjnoNA1LDhnr17Zo88u2mZZJw/JD6tco/UpJK7qHK9Ov25OGbXPP6VeuE0hDQy7Ur/vXvLtNw5JD6tcg/VqMfqWm9XyQbKZf2yGOLM7cnjace20+kIbTILWHXKJf2zXvbXv1mYY1h4z1a7vp6GPbTMukYfkh9WuUfqWo1TyEINKv2wc8Hbm23U8aGnKwQL+2a94/2V777jINiw6Z7te2FRdNw7YV1/+Q+jVKv1JV+3dk1PM9XNF+bZsH2ktz15bm0rBtHmgvPf+QC/RrO1u4W7vZZRoWHTLWr+0obSsuk4bTjIWH1K9R+pWq1nIPV6Rf26nBIxe9O0pDQw7y/dqi6xddp2HVIVP9+t10kKVWlmbS0JD6NUq/UtZK7uHKrH/9jc+fP306Xlbt6I9PQ0MO4v3aWusnL/fOd5iGZYdM9evH6SBLrSzNpKEh9WuUfqWuddzDFerXk/pZWnpGnSHj/dqONnzVcRpOgxUcMtWvC98ZlUlDQ+rXKP1KYau4h2vpfj23oPMai6ZhnSHT/bq75t1zGtYdMtyvbSsvmYZtK6//IfVrlH6lsv2A7fUerqX7tR386ILOayyahtOMFYYM9+v2gU+br7tNw8JDpvq1HaRt5UXScJqx8pD6NUq/UtkaPkh24X7dPnR/7srSRdOw0JDhfp0ONUZXv2k4jVVyyFC/Htx09PHL6Rzilx9zH+GfSEND6tcs/UppK7iHa9l+3a7ZnH1lfsk0rDRktl/3rnn3m4aVhwz168fpGB83yTV92aTCK5GGhtSvWfqV2voP2EX7dXvOcPaNUUumYakho/3arnn/+rTVaRqWHjLUry21Pn532FwbmRuREmloSP2apV8prvt7uBbs1+0NR4GFpculYbEhk/3aMmu65t1rGtYeMtuvxyVOHAbT8LgaQ+rXKP1KdQcB2/b1ZKF+/fxpd8YwUoaLpGHBIZP9enDNu9c0rD1kqF/bMU4ItGEiDadhTikxpH6N0q9U1/s9XAv068vZwkmiDONpWHTIYL+26GrXvDtNw+JD3qVfAx8mtXwalhhSv0bpV8rr/INkF+/XD/OXlW4sm4Zlhsz1a4us7TXvPtOw+pCZfv3YjjH6OK7T/O67/Z2zT24G0tCQ+jVMv0Lf93At0K9717sHmTKMp2HRIXP92k4atq1Bj2lYfch4v+7fZNSeBbUxtw2zaVh2SP0apV+h7w+SXbxfA49V3Vg2DcsMGevX19e8u0zD8kNm+nV309Hry9svdyO1HbcKpKEh9WuYfoW+H0Jwh36NnDlcOg2LDJnq15ZYL9e8e0xDQ2b6tR3iyOrMXXbtn028QSANpzlqD6lfo/Qr9H0P1wL92o63b/6Jw3QaTnMdqDBkql/bQdrWqL80nOapPGS0X99G1152te0b5dKw9JD6NUq/wqDje7iWOP/6aTxL+Hn/7qPZd87HT23WHDLUr+2a90FgdZeGhgz163ffffz45dHoelm5OW9xaSANDalfw/QrbPR7D9cC/fri88sF8LkXvtNp+KLUkJl+bR8XtX/Nu780NGSqX8/52I4/79xmIA3PqTKkfo3SrzDq9h6uRft1/wlQM9twuTQsNWSkX7d91TabztLQkIPl+3W3pLNt3mbhNKwypH6N0q8w6fUeroX79Tc+t6PPvTi/ZBoWGjLSr8eueXeXhoYc3KFft6cNZ12bXzoNiwypX6P0KzT7AdvRPVxL9+vLecN55zYXTcM6Qyb69eg1797S0JAbd+jX7brNWTf3L52GRYbUr1H6FZpOH0KweL/ubqKfd+f8smlYZshAv7a6eh1dfaWhIUf6daJfuZ5+ha0+7+Favl93173b9m0WTsMqQwb69fg1787S0JCjO/TruWdCXWzpNCwypH6N0q+w02XALt+vu9OGbfM2C6dhlSHn92uLrjcnDbtKQ0NO9GszzahfuYJ+hRc93sN1h37drtuctbZ06TQsMuT8fm3f/r5Z9TUzDacJLvDkQ+rXZppRv3IF/Qp7DgK27Xsw/TrRrxdq3/4+/fqOaYIL6NfZphn1K1fQr7Cnw3u47tCv22WbXadhkSH16yH9Olv7Afp1tmlG/doL/Qr7+vsg2Tv266x7+++Vhk8+pH49pF9naz9Av842zahfe6Ff4UB393Bl+vXzp08fPpy6raiXS/OG1K+v6dcLbD61/+PHU4/Vbz/g0Y+mMqR+DdOvcKi3D5JN9Os7WdVHGhpyQ78e0q/v+tiOcKK6ti8/Ng0NuaFfo/QrvNLZQwgS/frOsswP7eW2eZvZaWjIjfn9+pNT2nG/aJtvHwt1jZlp2EZ4axqxzJCJfn3nsfpftpfb5m1mp6EhN/RrlH6FVzq7hyvZryeWZfaVhrWHnN+vJ3X10QCnFBsy2a8nuqq9OGtlaS4Naw+pX6P0K7zW1z1ckfWv7QjHu2rbZB/a9m1mp6EhN/TrRL9erh3h+GXv+Re9N2anoSE39GuUfoU3urqHK9Kv23WZR08bbk8a3n7T/Mb8NDTkQL9O9OvlzoZV5Mp8IA0NOdCvUfoV3urpHq5Iv25PDB47bXjutSvMT0NDDvTrRL9ebnfZ+8hpw22RzbsyH0hDQw70a5R+hSM6uocr0q+7y95Hrmy3V2ae2QykoSEH+nWiX6/QDnEkrc4F2TXmp6EhB/o1Sr/CMe1fmdFj7+HK9Ovu1OCbG+e317xnntlMpKEh9at+vcH21OCb69676Jp5ZjORhobUr2H6FY7p5yEEmX59iavD7NrV2KknQl0skIaG1K/69RbtGK+zaxddMxeWRtLQkPo1TL/CUd3cwxXq15e8+rDXV9u7kWbdMj9JpKEh9es0o369yktefbl3eXt7w9HsC/OZNDSkfs3Sr3BcLwEb6te97Pri0+cxvD7tziQGyjCShobUr9OM+vU6L9k1dNfYWB9fmuvNxfDrJdLQkPo1S7/CCZ3cw5Xq1/3semN+GWbS0JD6daJfr7PXWG/MXVc6iKShIfVrlH6FU/YD9nFLYGP9eia7AmUYSsPyQ+rXiX690u7Oozfmn9hMpWH5IfVrlH6FU/q4hyvXryeza28Z5+1CaVh9SP060a/X2rvwfWDeis0mlIbVh9SvUfoVTurig2SD/bp/l9GLxHnNQSoNiw+pXyf69XrHThwGLstvpNKw+JD6NUq/wmk93MMV7dff+Pyquz7M/ECAF7k0LD2kfp3o1xt897q7ElflR7k0LD2kfo3Sr3BGBx8km+3XwedP7Xb5D7kuHATTcFB2yAX7NWqpNIzqf8hsvw6++9hul//yy1gXDoJpOCg7pH6N0q9wzuMfQhDv14Vk03Ah/Q+pX4MK9utCsmm4kP6H1K9R+hXOefw9XPo1SL+m6NcI/RqkX4vRr3DWw+/h0q9B+jVFv0bo1yD9Wox+hfMefQ+Xfg3Sryn6NUK/BunXYvQrvOPB93Dp1yD9mqJfI/RrkH4tRr/Cex57D5d+DdKvKfo1Qr8G6ddi9Cu8q/2TM7r7PVz6NUi/pujXCP0apF+L0a/wroc+hEC/BunXFP0aoV+D9Gsx+hXe98h7uPRrkH5N0a8R+jVIvxajX+ECDwxY/RqkX1P0a4R+DdKvxehXuMTj7uHSr0H6NUW/RujXIP1ajH6Fi+wH7F2XwOrXIP2aol8j9GuQfi1Gv8JFHnYPl34N0q8p+jVCvwbp12L0K1zmUR8kq1+D9GuKfo3Qr0H6tRj9Chd60D1c+jVIv6bo1wj9GqRfi9GvcKnHfJCsfg3Sryn6NUK/BunXYvQrXOzgIQRt3+L0a5B+TdGvEfo1SL8Wo1/hYg+5h0u/BunXFP0aoV+D9Gsx+hUu94h7uPRrkH5N0a8R+jVIvxajX+EKD7iHS78G6dcU/RqhX4P0azH6Fa5x/3u49GuQfk3RrxH6NUi/FqNf4Sp3/yBZ/RqkX1P0a4R+DdKvxehXuE7792d0j3u49GuQfk3RrxH6NUi/FqNf4Tr3fgiBfg3Sryn6NUK/BunXYvQrXOnO93Dp1yD9mqJfI/RrkH4tRr/Cte4bsPo1SL+m6NcI/RqkX4vRr3C1u97DpV+D9GuKfo3Qr0H6tRj9CtfbD9ill8Dq1yD9mqJfI/RrkH4tRr/C9e55D5d+DdKvKfo1Qr8G6ddi9Cvc4I4fJKtfg/Rrin6N0K9B+rUY/Qq3uN89XPo1SL+m6NcI/RqkX4vRr3CTu93DpV+D9GuKfo3Qr0H6tRj9Crc5CNi2bwn6NUi/pujXCP0apF+L0a9wm3vdw6Vfg/Rrin6N0K9B+rUY/Qo3utM9XPo1SL+m6NcI/RqkX4vRr3Cr+9zDpV+D9GuKfo3Qr0H6tRj9Cjc7CNil7uHSr0H6NUW/RujXIP1ajH6F293jIQT6NUi/pujXCP0apF+L0a8wQ/vHaLTQPVz6NUi/pujXCP0apF+L0a8wwx0eQqBfg/Rrin6N0K9B+rUY/QpzLH8Pl34N0q8p+jVCvwbp12L0K8yyeMDq1yD9mqJfI/RrkH4tRr/CPEvfw6Vfg/Rrin6N0K9B+rUY/Qoz7QfsAktg9WuQfk3RrxH6NUi/FqNfYaaF7+HSr0H6NUW/RujXIP1ajH6FuZb9INmXfv2H/pc9+0uHCf/S9nW3+h/yvzL+qjf+yf9dz/7qYcK/un3drf6H/CfHX/XGf+l/3rO/cJjwL2xfd6v/If+L4696Q78G6FeYbdF7uH7UjgvAU/hR++edGfQrzLfkPVz6FeCp6NcA/QoBBwHb9oXoV4Cnol8D9CsELHgPl34FeCr6NUC/QsJy93DpV4Cnol8D9CtELHYPl34FeCr6NUC/QsZBwAbv4dKvAE9FvwboVwhZ6CEE+hXgqejXAP0KKe1fplHuHi79CvBU9GuAfoWUZR5C8Je0A37xxW/5d/dsHLF93a3+h/wt44gbft2z9T+kX3dQ/0O+/Lr/kvbPOzPoV4hZ5B6ul8+P9YH4s/lA/BQfiB/x8oH4/8a/07N/dJjwH21fd6v/If+N8Ve94fNjA/Qr5CxxD5d+DdKvKfo1Qr8G6ddi9CsELXAPl34N0q8p+jVCvwbp12L0KyTtB2xmCax+DdKvKfo1Qr8G6ddi9Csk5e/h0q9B+jVFv0bo1yD9Wox+haj4PVz6NUi/pujXCP0apF+L0a+QlQ5Y/RqkX1P0a4R+DdKvxehXCAvfw6Vfg/Rrin6N0K9B+rUY/QppBwHb9t1Ovwbp1xT9GqFfg/RrMfoV0rL3cOnXIP2aol8j9GuQfi1Gv0LcQcDOXQKrX4P0a4p+jdCvQfq1GP0Kecl7uPRrkH5N0a8R+jVIvxajX2EBwQ+S1a9B+jVFv0bo1yD9Wox+hSXkHkKgX4P0a4p+jdCvQfq1GP0Ki2j/TI1m3cOlX4P0a4p+jdCvQfq1GP0Ki4g9hEC/BunXFP0aoV+D9Gsx+hWWkbqHS78G6dcU/RqhX4P0azH6FRYSuodLvwbp1xT9GqFfg/RrMfoVlpK5h0u/BunXFP0aoV+D9Gsx+hUWsx+wNy+B1a9B+jVFv0bo1yD9Wox+hcVE7uHSr0H6NUW/RujXIP1ajH6F5STu4dKvQfo1Rb9G6Ncg/VqMfoUFBQJWvwbp1xT9GqFfg/RrMfoVljT/Hi79GqRfU/RrhH4N0q/F6FdY1EHAtn1X0a9B+jVFv0bo1yD9Wox+hUXNvodLvwbp1xT9GqFfg/RrMfoVlnUQsDcsgdWvQfo1Rb9G6Ncg/VqMfoWFzbyHS78G6dcU/RqhX4P0azH6FZY274Nk9WuQfk3RrxH6NUi/FqNfYXGzHkKgX4P0a4p+jdCvQfq1GP0Ki5t1D5d+DdKvKfo1Qr8G6ddi9Cssb849XPo1SL+m6NcI/RqkX4vRr3AHM+7h0q9B+jVFv0bo1yD9Wox+hXu4/R4u/RqkX1P0a4R+DdKvxehXuIub7+HSr0H6NUW/RujXIP1ajH6F+9gP2Gvu4dKvQfo1Rb9G6Ncg/VqMfoX7OP0QgvNnY/VrkH5N0a8R+jVIvxajX+FOTt3D9fUX7Yvj9GuQfk3RrxH6NUi/FqNf4V6OB+yw9+wJWP0apF9T9GuEfg3Sr8XoV7ibY/dwbfbp13vRryn6NUK/BunXYvQr3M9BwG52fD/uOXs7l34N0q8p+jVCvwbp12L0K9zP63u42rZ+vRf9mqJfI/RrkH4tRr/CHR1+kOxuQWx79Sj9GqRfU/RrhH4N0q/F6Fe4p4N7uHbOLYDVr0H6NUW/RujXIP1ajH6FuzoasHtP03pDvwbp1xT9GqFfg/RrMfoV7uvgHq7m3AJY/RqkX1P0a4R+DdKvxehXuK+DJbBb7bVj9GuQfk3RrxH6NUi/FqNf4c6OBeyZBbBL9usvpgP/om3Oslga1hpSvwbV7Nef/+xn4xF/9vOf/6rtmi2ehjWH1K9R+hXu7cgS2Af160+mA/edhrWGDPbrx3ag49qbbpVKw+JDxvv151Nx7YTiMJuGZYfUr1H6Fe7tyAnYMwtgF+zXFl19p2GxIYP9+mU70HHtTbdKpWHxIcP9+vN2sH2ROEymYeEh9WuUfoU7O/YEgof0a7vm3XcaVhsy2K/tOCe0N90qlYbTMKe0N92q/yGj/fqrV2cMm5+3l+fIpWHpIfVrlH6F+zr+BNj24hHL9ev2pGHXaVhtSP26r73pVrX69VftSG/8rL1hhlga1h5Sv0bpV7irY4/PGpxeALtYv+6iq+c0LDdkrl/PL9rsJA2rDxns15PRlWjDVBoWH1K/RulXuKPvT+TrmU8wWKpfd9e8e07DekPq133tXbeq1K970TXdLP+rvSWcs1duhtKw+pD6NUq/wv0cffbr6PQC2KX6tR10o980nOYbFRky16/nbzrqJA2rD5nr13aYg0WaL93VdtwslIbTMIOiQ+rXKP0Kd3M6X88sgF2oX1+ueXechgWHzPVrO8x3bTMslIbTjHWHjPXr7oajgxOEu1OJc+88yqRh+SH1a5R+hTs6fvPWxskFsMv066+3Y456TcOKQ8b7tW2lZdOwbaX1P2SqX3d51ba3Tu2/ViQNDalfo/Qr3NWpgr1vv+4t2Rx0moYlh4z1a1u0+WXbTMukYfkhU/26PWn4Znnm9sL3vHWbmTQ0pH6N0q9wZ18fTdiTC2AX6df9a97dpmHJIfVrUJl+Pd1W29OGM6/NJ9LQkPo1S7/C3R0r2Lv2a7vmvW2vPtOw5pCxfm03HX1sm2mZNCw/ZKhf20nDY0932gZZ27xRIg0NqV+z9Cs8wtuCbS+8sUC/tmveP9le++4yDYsOme7XthUXTcO2Fdf/kKF+bcdoWwe2pw3nXPbOpOE0R+kh9WuUfoXHeF2wpxbALtCv7Wzhbu1ml2lYdMhYv7ajtK24TBpOMxYeMtOv7czg8YfrD/t/9rOfP/7SvCH1a5h+hUc5LNhTn2CQ79cWXb/oOg2rDpnq1++mgyy1sjSThobM9Gu76D3v7OVZgTQ0pH4N06/wOPsLYU8tgI33a2utn7zcO99hGpYdMtWvH6eDLLWyNJOGhsz063SE4ycNMwJpaEj9GqZf4ZG+fynYtue1eL+2ow1fdZyG02AFh0z168J3RmXS0JCRfj170TtjfhoacqBfo/QrPNi2YE8sgE336+6ad89pWHfIcL+2rbxkGratvP6HjPRru+g9c/XoWfPT0JAD/RqlX+HhpoK9T79uH/i0+brbNCw8ZKpf20HaVl4kDacZKw+Z7Ne2tYhYGratRfQ/pH6N0q/Qga9/fHIBbLhfp0ON0dVvGk5jlRwy1K8HNx19/HI6h/jlx9xH+CfS0JCZfm1HaFuLmJ+G04zFh9SvUfoVuvD113fp171r3v2mYeUhQ/36cTrGx01yTV82qfBKpKEhk/36smjz5z8bzyP+7Oe52+hTaVh8SP0apV+hb9F+bde8f33a6jQNSw8Z6teWWh+/O2yujcyNSIk0NGSkX9tz9Vt1/bxdA5+kwmt2GhpyQ79G6VfoW7JfW2ZN17x7TcPaQ2b79bjEicNgGh5XY8hEv7ab5sebjtrXezL3Is1OQ0Nu6Nco/Qp9S/brwTXvXtOw9pChfm3HOCHQhok0nIY5pcSQ4X49OGO4lThxmEzDwkPq1yj9Cn0L9muLrnbNu9M0LD7kXfo18GFSy6dhiSET/dpS6+e7D+h/LdCGs9PQkBv6NUq/Qt9y/doia3vNu880rD5kpl8/tmOMPo7rNL/7bn/n7JObgTQ0ZLZfT0VXog1jaVh7SP0apV+hb7l+bScN29agxzSsPmS8X/dvMmrPgtqY24bZNCw7ZLJf2//7xc/GhZq/2r/9aHYbxtKw9pD6NUq/Qt9i/fr6mneXaVh+yEy/7m46en15++VupLbjVoE0NGS0X5uXhz/9O796eaXtuVkqDZuqQ+rXKP0KfUv1a0usl2vePaahITP92g5xZHXmLrv2zybeIJCG0xy1h4z36+H5wd1L44nEGbJpWHZI/RqlX6FvqX5tB2lbo/7ScJqn8pDRfn0bXXvZ1bZvlEvD0kOm+/X15e3da/Oue2fTsO6Q+jVKv0LfQv3arnkfBFZ3aWjIUL9+993Hj18eja6XlZvzFpcG0tCQ8X5921bbF2ee20ymYeEh9WuUfoW+Zfq1fVzU/jXv/tLQkKl+PedjO/68c5uBNDynypDZfj2WVu2lmYtLg2lYeUj9GqVfoW+Rft32VdtsOktDQw6W79fdks62eZuF07DKkNl+bTsObD9Has5l72gath0HqgypX6P0K/Qt0q/Hrnl3l4aGHNyhX7enDWddm186DYsMGe3Xo1e2t88ynXPZO5mGpYfUr1H6FfqW6Nej17x7S0NDbtyhX7frNmfd3L90GhYZMtqvbfuV9uKcy97JNGzbr7QXn31I/RqlX6FvgX5tdfU6uvpKQ0OO9OtEv17sneraXvZum7dZOg2LDKlfo/Qr9C3Qr8eveXeWhoYc3aFfzz0T6mJLp2GRIZP9uve8/X3by96z1pbG0rD2kPo1Sr9C3+b3a4uuNycNu0pDQ070azPNqF/ftz0teGJdZh9paMgN/RqlX6Fv8/u1ffv7ZtXXzDScJrjAkw+pX5tpRv36PmnY6Ndi9Cv0Tb8e0q+ztR+gX2ebZnxwv26z6kR1bW87emwaGnJDv0bpV+ibfj2kX2drP0C/zjbNqF/fZ8gN/RqlX6Fv+vWQfp2t/QD9Ots044P7dZtVJ6prG2WPTUNDbujXKP0KfdOvh/TrBTaf2v/x46nH6rcf8OhHUxky26/v3DXfNm8TS8PaQ+rXKP0KfdOvh/Truz62I5yoru3Lj01DQ25E+nV721HbfOX8qxean4aGHOjXKP0KfZvfrz85pR33i7b59rFQ15iZhm2Et6YRywyZ6Nd3Hqv/ZXu5bd5mdhoaciPSr+eva7eHmp44p3ih+WloyIF+jdKv0Lf5/XpSVx8NcEqxIZP9eqKr2ouzVpbm0rD2kNF+Pb5ss7M0LD2kfo3Sr9A3/TrRr5drRzh+2Xv+Re+N2WloyI1Iv26XbR69sH0+yS41Pw0NOdCvUfoV+qZfJ/r1cmfDKnJlPpCGhhxk+nW7MPNYWbWThjMWbW4E0tCQ+jVMv0Lf9OtEv15ud9n7yGnDbZHNuzIfSENDDjL9ujtt+Hbd5vak4bwr84k0NKR+DdOv0Df9OtGvV2iHOJJW54LsGvPT0JCDUL9uTxu+bavMmc1IGhpSv2bpV+ibfp3o1ytsTw2+ue69i66ZZzYTaWjIWL/uThu+zq5tdM05abiRSEND6tcs/Qp9068T/XqNdozX2bWLrpkLSyNpaMhcv24vbr/Kq210zT2zmUlDQ+rXKP0KfdOvE/16jZe8+nLv8vb2hqPZF+YzaWjIWL++9NXeys1f7XbOu69/EElDQ+rXKP0KfdOvE/16lZfsGrprbKyPL8315mL49RJpaMhcv+5l1xc/H8Pr5y97Zl3zHmXSsPyQ+jVKv0Lf9OtEv15nr7HemLuudBBJQ0Pm+nU/u16ZX4apNKw+pH6N0q/QN/060a9X2t159Mb8E5upNCw/ZLBfT2ZXoAxjaVh8SP0apV+hb/p1ol+vtXfh+8C8FZtNKA2rD5ns192znw4lyjCXhrWH1K9R+hX6pl8n+vV6x04cBi7Lb6TSsPiQ0X59uXf+xc9ebkKaI5eGpYfUr1H6FfqmXyf69Qbfve6uxFX5US4NSw+Z7df9G+VHP5t9T38TTMPKQ+rXKP0KfVuwX6OWSsOo/ofM9uvgu4/tdvkvv4x14SCYhoOyQ6b7deiuX7Xb5X8W68JBNA3rDqlfo/Qr9E2/BhXs14Vk03Ah/Q+Z79dlhNNwGf0PqV+j9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Ntvb//gffHFb/mDe/Zbup9w0P+Qmwknv+UP6tn4N9m+7lb/Q+79uv89PRv/JtvX3ep/yJdf929v/7wzg36Fvv2o/YMHwFP4UfvnnRn0K/RNvwI8Ff0aoF+hb/oV4Kno1wD9Cn3759s/eF988Vf9T3r2Zw0T/lnt6271P+RfNf6qN/6C/2HP/vRhwj+9fd2t/of8C8Zf9cZf8z/t2Z89TPhnt6+71f+Qf834q97459s/78ygX6Fvnj8Q5PkDKZ4/EOH5A0GeP1CMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+Ldmvv5gO/Iu2OctiaVhrSP0aVLNff/6zn41H/NnPf/6rtmu2eBrWHFK/RulX6NuS/fqT6cB9p2GtIYP9+rEd6Lj2plul0rD4kPF+/flUXDuhOMymYdkh9WuUfoW+LdivLbr6TsNiQwb79ct2oOPam26VSsPiQ4b79eftYPsicZhMw8JD6tco/Qp9W65f2zXvvtOw2pDBfm3HOaG96VapNJyGOaW96Vb9Dxnt11+9OmPY/Ly9PEcuDUsPqV+j9Cv0bbl+3Z407DoNqw2pX/e1N92qVr/+qh3pjZ+1N8wQS8PaQ+rXKP0KfVusX3fR1XMalhsy16/nF212kobVhwz268noSrRhKg2LD6lfo/Qr9G2pft1d8+45DesNqV/3tXfdqlK/7kXXdLP8r/aWcM5euRlKw+pD6tco/Qp9W6pf20E3+k3Dab5RkSFz/Xr+pqNO0rD6kLl+bYc5WKT50l1tx81CaTgNMyg6pH6N0q/Qt4X69eWad8dpWHDIXL+2w3zXNsNCaTjNWHfIWL/ubjg6OEG4O5U4986jTBqWH1K/RulX6Nsy/frr7ZijXtOw4pDxfm1badk0bFtp/Q+Z6tddXrXtrVP7rxVJQ0Pq1yj9Cn1bpF/3lmwOOk3DkkPG+rUt2vyybaZl0rD8kKl+3Z40fLM8c3vhe966zUwaGlK/RulX6Nsi/bp/zbvbNCw5pH4NKtOvp9tqe9pw5rX5RBoaUr9m6Vfo2xL92q55b9urzzSsOWSsX9tNRx/bZlomDcsPGerXdtLw2NOdtkHWNm+USEND6tcs/Qp9W6Bf2zXvn2yvfXeZhkWHTPdr24qLpmHbiut/yFC/tmO0rQPb04ZzLntn0nCao/SQ+jVKv0LfFujXdrZwt3azyzQsOmSsX9tR2lZcJg2nGQsPmenXdmbw+MP1h/0/+9nPH39p3pD6NUy/Qt/y/dqi6xddp2HVIVP9+t10kKVWlmbS0JCZfm0XveedvTwrkIaG1K9h+hX6Fu/X1lo/ebl3vsM0LDtkql8/TgdZamVpJg0NmenX6QjHTxpmBNLQkPo1TL9C3+L92o42fNVxGk6DFRwy1a8L3xmVSUNDRvr17EXvjPlpaMiBfo3Sr9C3dL/urnn3nIZ1hwz3a9vKS6Zh28rrf8hIv7aL3jNXj541Pw0NOdCvUfoV+hbu1+0DnzZfd5uGhYdM9Ws7SNvKi6ThNGPlIZP92rYWEUvDtrWI/ofUr1H6FfoW7tfpUGN09ZuG01glhwz168FNRx+/nM4hfvkx9xH+iTQ0ZKZf2xHa1iLmp+E0Y/Eh9WuUfoW+Zft175p3v2lYechQv36cjvFxk1zTl00qvBJpaMhkv74s2vz5z8bziD/7ee42+lQaFh9Sv0bpV+hbtF/bNe9fn7Y6TcPSQ4b6taXWx+8Om2sjcyNSIg0NGenX9lz9Vl0/b9fAJ6nwmp2GhtzQr1H6FfqW7NeWWdM1717TsPaQ2X49LnHiMJiGx9UYMtGv7ab58aaj9vWezL1Is9PQkBv6NUq/Qt+S/XpwzbvXNKw9ZKhf2zFOCLRhIg2nYU4pMWS4Xw/OGG4lThwm07DwkPo1Sr9C34L92qKrXfPuNA2LD3mXfg18mNTyaVhiyES/ttT6+e4D+l8LtOHsNDTkhn6N0q/Qt1y/tsjaXvPuMw2rD5np14/tGKOP4zrN777b3zn75GYgDQ2Z7ddT0ZVow1ga1h5Sv0bpV+hbrl/bScO2NegxDasPGe/X/ZuM2rOgNua2YTYNyw6Z7Nf2/37xs3Gh5q/2bz+a3YaxNKw9pH6N0q/Qt1i/vr7m3WUalh8y06+7m45eX95+uRup7bhVIA0NGe3X5uXhT//Or15eaXtulkrDpuqQ+jVKv0LfUv3aEuvlmnePaWjITL+2QxxZnbnLrv2ziTcIpOE0R+0h4/16eH5w99J4InGGbBqWHVK/RulX6FuqX9tB2taovzSc5qk8ZLRf30bXXna17Rvl0rD0kOl+fX15e/favOve2TSsO6R+jdKv0LdQv7Zr3geB1V0aGjLUr9999/Hjl0ej62Xl5rzFpYE0NGS8X9+21fbFmec2k2lYeEj9GqVfoW+Zfm0fF7V/zbu/NDRkql/P+diOP+/cZiANz6kyZLZfj6VVe2nm4tJgGlYeUr9G6VfoW6Rft33VNpvO0tCQg+X7dbeks23eZuE0rDJktl/bjgPbz5Gac9k7moZtx4EqQ+rXKP0KfYv067Fr3t2loSEHd+jX7WnDWdfml07DIkNG+/Xole3ts0znXPZOpmHpIfVrlH6FviX69eg1797S0JAbd+jX7brNWTf3L52GRYaM9mvbfqW9OOeydzIN2/Yr7cVnH1K/RulX6FugX1tdvY6uvtLQkCP9OtGvF3unuraXvdvmbZZOwyJD6tco/Qp9C/Tr8WvenaWhIUd36Ndzz4S62NJpWGTIZL/uPW9/3/ay96y1pbE0rD2kfo3Sr9C3+f3aouvNScOu0tCQE/3aTDPq1/dtTwueWJfZRxoackO/RulX6Nv8fm3f/r5Z9TUzDacJLvDkQ+rXZppRv75PGjb6tRj9Cn3Tr4f062ztB+jX2aYZH9yv26w6UV3b244em4aG3NCvUfoV+qZfD+nX2doP0K+zTTPq1/cZckO/RulX6Jt+PaRfZ2s/QL/ONs344H7dZtWJ6tpG2WPT0JAb+jVKv0Lf9Osh/XqBzaf2f/x46rH67Qc8+tFUhsz26zt3zbfN28TSsPaQ+jVKv0Lf9Osh/fquj+0IJ6pr+/Jj09CQG5F+3d521DZfOf/qheanoSEH+jVKv0Lf5vfrT05px/2ibb59LNQ1ZqZhG+GtacQyQyb69Z3H6n/ZXm6bt5mdhobciPTr+eva7aGmJ84pXmh+GhpyoF+j9Cv0bX6/ntTVRwOcUmzIZL+e6Kr24qyVpbk0rD1ktF+PL9vsLA1LD6lfo/Qr9E2/TvTr5doRjl/2nn/Re2N2GhpyI9Kv22WbRy9sn0+yS81PQ0MO9GuUfoW+6deJfr3c2bCKXJkPpKEhB5l+3S7MPFZW7aThjEWbG4E0NKR+DdOv0Df9OtGvl9td9j5y2nBbZPOuzAfS0JCDTL/uThu+Xbe5PWk478p8Ig0NqV/D9Cv0Tb9O9OsV2iGOpNW5ILvG/DQ05CDUr9vThm/bKnNmM5KGhtSvWfoV+qZfJ/r1CttTg2+ue++ia+aZzUQaGjLWr7vThq+zaxtdc04abiTS0JD6NUu/Qt/060S/XqMd43V27aJr5sLSSBoaMtev24vbr/JqG11zz2xm0tCQ+jVKv0Lf9OtEv17jJa++3Lu8vb3haPaF+UwaGjLWry99tbdy81e7nfPu6x9E0tCQ+jVKv0Lf9OtEv17lJbuG7hob6+NLc725GH69RBoaMteve9n1xc/H8Pr5y55Z17xHmTQsP6R+jdKv0Df9OtGv19lrrDfmrisdRNLQkLl+3c+uV+aXYSoNqw+pX6P0K/RNv07065V2dx69Mf/EZioNyw8Z7NeT2RUow1gaFh9Sv0bpV+ibfp3o12vtXfg+MG/FZhNKw+pDJvt19+ynQ4kyzKVh7SH1a5R+hb7p14l+vd6xE4eBy/IbqTQsPmS0X1/unX/xs5ebkObIpWHpIfVrlH6FvunXiX69wXevuytxVX6US8PSQ2b7df9G+dHPZt/T3wTTsPKQ+jVKv0LfFuzXqKXSMKr/IbP9OvjuY7td/ssvY104CKbhoOyQ6X4duutX7Xb5n8W6cBBNw7pD6tco/Qp9069BBft1Idk0XEj/Q+b7dRnhNFxG/0Pq1yj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/Qt3+9/YP3xRf/8P+qZ3/5MOFf3r7uVv9D/sPjr3rj7/if9ezPHyb889vX3ep/yL9j/FVv/OP/m579FcOEf0X7ulv9D/mPj7/qjX+9/fPODPoV+vaj9g8eAE/hR+2fd2bQr9A3/QrwVPRrgH6FvulXgKeiXwP0K/RNvwI8Ff0aoF+hb/oV4Kno1wD9Cn3TrwBPRb8G6Ffom34FeCr6NUC/Qt/0K8BT0a8B+hX6pl8Bnop+DdCv0Le/67ds/RH/4Z79IcOEf0j7ulv9D/lHjL/qDb/u2fy6U/y6I15+3X9X++edGfQrAABrol8BAFgT/QoAwJroVwAA1kS/AgCwJvoVAIA10a8AAKyJfgUAYE30KwAAa6JfAQBYE/0KAMCa6FcAANZEvwIAsCb6FQCANdGvAACsiX4FAGBN9CsAAGuiXwEAWBP9CgDAmuhXAADWRL8CALAm+hUAgDXRrwAArIl+BQBgTfQrAABrol8BAFgT/QoAwJroVwAA1kS/AgCwJvoVAIA10a8AAKyJfgUAYE30KwAAa6JfAQBYE/0KcJHvm6+bHzdfbHzd3gSPNP3X2P7LbP+hfv11+y+3vQeegX4FeNfXYxac9uP2Pm73tb6a7/v2H+RJ/pJ5EvoV4H3Tea2TnH6d72v/R0CA/1ApQr8CXKD9//9PaG/idl87N5hw/gSsfOVp6FeAC5ztAlkw39CvTsAGnDsB679Tnod+BbjEuSWw7S3cbvzrdQJ2vjP/nfq/D3gi+hXgIqfDwGmt+ca/XYEVMP4neZT/84Anol8BLnPyymx7ndu1/+NAYc138v/O8n9m8Uz0K8CFWge8pgvma9HlBOx8p1Zq+8+Up6JfAS6kDJayO2foBOxc35+4TOA/Up6LfgW4lEuzC9n9xToBO8+pevUXy7PRrwAXOxmwCnaOvb9WJ2BnOFmv/l55OvoV4HJnnq7p809vttevzhPe7Ey9+j+veDr6FeAKrQeO+lol3OTgrLb/K+A2py8NDPyHydPRrwBXOP/5nD8WCjc4SC8nYG9w7tTrwH+VPB/9CnCNs+e5BlrhWq/+Rp2AvdY79er/JOAZ6VeAq7wXsAr2Sq/+QtXWdd6rV/8XAU9JvwJc591eULDXePN/D8itK7xfr/5r5CnpV4ArtS7Y+PrE2VgPI7jYm79BJ2Avdqpe9/+zlK88Jf0KcKWXe7iGNvj+VMHqhosc+evT/pc58V/ejzd/f+1r+cqz0q8A19qFw6vNQx5GcIkjf3lOwF7g1KnXsV5f/lr9XfKk9CvA1Vod7AL1RME6+fWuo39zTsC+5516fblG4K+SJ6VfAa435UPb2FCwtzn69+ak4Xnv1utgeov//HhW+hXgBm/j4OsTUSEhzjiR/c4annFJvbYTsP7b42npV4AbbPLgdWV5GMHVTvyNOQF70slHDrTXd4b3yVeel34FuMXXx+rAwwiuc+KvywnYU071/pG/r+/9XwE8M/0KcJMTTXqqMBTsESf7VXodcdnCgZ0Tu+Ep6FeArFNRpmBfO5mvTsC+dWW9wnPTrwBpCvYyZ/rVCdhD6hUO6FeAPA8juMCZfHUC9oB6hVf0K8ASPIzgXWf71QnYnYsfOQB16FeAZXgYwcXa38yg7WDnxH9FTr1Sm34FWMyp9lCwh9rfy6DtYGLhABynXwEWdOoauYLd1/5SBm0HG+oVTtGvAItSsO9rfyWDtgP1CufoV4CFeRjBe9pfyKDtQL3COfoVYHEeRnBe++sYtB3VeeQAnKdfAe7AwwjOaX8Zg7ajtlO3/fm/dmBLvwLcx6kqUbD6dY+FA3AB/QpwL27lOqH9PQzajrLUK1xEvwLcj4I9qv0tDNqOotQrXEi/AtyThxEc0f4OBm1HSeoVLqZfAe7LwwjeaH8Dg7ajII8cgCvoV4B78zCCV9qff9B2lHPq5j6nXuEo/QrwAKd6pWbBtj/9oO2oxcIBuJZ+BXgIt3K9aH/0QdtRiXqF6+lXgAdRsFvtDz5oO+pQr3AL/QrwMB5GMGl/7EHbUYV6hdvoV4AHOvkwglIJ2/7Qg7ajBo8cgFvpV4CH8jCCov166hY+p17hffoV4NHKL4Rtf95B2/H0LByAWfQrwOMVL9j2px20HU9OvcJM+hWgB6ULtv1ZB23HU1OvMJt+BehD4YcRtD/poO14YuoVAvQrQC/KPoyg/TkHbcfT8sgBiNCvAP0o+jCC9qcctB1P6sRv16lXuJZ+BehKxYWw7Y84aDuekYUDkKNfATpTr2DbH3DQdjwf9QpJ+hWgO9UKtv3xBm3Hs1GvkKVfATpU62EE7Q83aDuei3qFNP0K0KVKDyNof7RB2/FMPHIA8vQrQKfqPIyg/cEGbcfzOPE7dOoVZtGvAP0qshC2/akGbceTsHAAFqJfAXpWomDbn2nQdjwF9QqL0a8AfStQsO1PNGg7noB6hQXpV4DePf3DCNqfZ9B2rJ56hUXpV4D+PfnDCNqfZtB2rJxHDsDC9CvAGjz1wwjan2XQdqzaid+UU6+Qo18BVuJ5F8K2P8ig7VgvCwfgHvQrwGo8a8G2P8ag7Vgr9Qr3oV8BVuQ5C7b9IQZtxzqpV7gX/QqwKs/4MIL2Rxi0HWukXuF+9CvAyjzfwwjaH2DQdqyPRw7APelXgNV5tocRtPEHbcfanPh9OPUKC9GvAGv0VAth2+yDtmNVLByAu9OvAOv0RAXbJh+0HSuiXuEB9CvAWj1Nwba5B23HaqhXeAj9CrBeT/Iwgjb1oO1YCfUKD6JfAdbsKR5G0GYetB2r4JED8DD6FWDdnuBhBG3iQduxAif+1p16hXvQrwCrt/aFsG3cQdvROwsH4LH0K8ATWHfBtmEHbUff1Cs8mn4FeAprLtg26qDt6Jl6hcfTrwBPYr0PI2iDDtqOfqlX6IF+BXgaa30YQRtz0Hb0yiMHoA/6FeCJrPNhBG3IQdvRpxN/t069wt3pV4DnssKFsG3CQdvRIQsHoCP6FeDZrK5g23yDtqM76hW6ol8Bns/KCrZNN2g7OqNeoTP6FeAZrephBG22QdvRFfUK3dGvAM9pRQ8jaJMN2o6OeOQAdEi/Ajyr1TyMoM01aDu6ceJv0KlXeCz9CvDE1rEQtg01aDv6YOEA9Eq/Ajy1NRRsG2nQdvRAvUK/9CvAk+u/YNtAg7bj8dQr9Ey/Ajy93h9G0MYZtB2Ppl6hb/oVoIC+H0bQhhm0HY/lkQPQO/0KUELPDyNoowzajkc68ffk1Ct0RL8CVNHtQtg2x6DteBgLB2AV9CtAHZ0WbJti0HY8iHqFldCvAJV0WbBthkHb8RDqFVZDvwLU0uHDCNoEg7bjAdQrrIh+Baimu4cRtJ8/aDvuziMHYFX0K0A9nT2MoP30QdtxZyf+Npx6hV7pV4CSeloI2370oO24JwsHYH30K0BR/RRs+8GDtuN+1CuskX4FKKuXgm0/dtB23It6hXXSrwCF9fEwgvZDB23HfahXWCv9ClBaDw8jaD9y0Hbcg0cOwHrpV4DiHv8wgvYDB23H8k78mZ16hVXQrwA8eCFs+2mDtmNhFg7AyulXAB5csO1nDdqORalXWD39CsDGAwu2/aRB27Eg9QpPQL8CMHlYwbafM2g7FqNe4SnoVwC2HvQwgvZTBm3HQjxyAJ6EfgXgxUMKtv2MQduxiBN/MqdeYX30KwAH7r+MoP2AQduRZ+EAPBP9CsAr9y7YdvhB25GmXuG56FcA3rhvwbaDD9qOLPUKz0a/AnDEPQu2HXrQdiSpV3g++hWAo+53K1c78KDtyPHIAXhG+hWAE+5VsO2wg7Yj5cT8Tr3CyulXAE67yzKCdsxB2xFh4QA8Lf0KwDl3KNh2xEHbEaBe4YnpVwDOW7xg2/EGbcds6hWemn4F4D0LF2w72qDtmEm9wpPTrwC8b9FbudqxBm3HLB45AE9PvwJwiQULth1p0HbMcGJKp17hmehXAC601DKCdphB23ErCwegBv0KwMWWKdh2kEHbcRv1ClXoVwCusETBtkMM2o5bqFeoQ78CcJV8wbYDDNqO66lXqES/AnCl9K1c7dsHbce1PHIAatGvAFwtW7Dtmwdtx3VOzOLUKzwt/QrALYLLCNp3DtqOK1g4AAXpVwBuEyvY9n2DtuNi6hVK0q8A3CpUsO27Bm3HhdQrFKVfAbhdpGDb9wzajouoVyhLvwIwR+BWrvYdg7bjAh45AIXpVwDmmV2w7f2DtuNdJ36iU69Qg34FYLZ5ywjamwdtx3kWDkB1+hWAgDkF2946aDvOUa+AfgUg4vaCbW8ctB2nqVdAvwIQc2vBtrcN2o5T1CuwoV8BiLntVq72pkHbcZxHDgAT/QpA0C0F294yaDuOOXFcp16hIP0KQNbVywja64O24w0LB4A9+hWAtCsLtr06aDteUa/AAf0KQN5VBdteG7QdB9Qr8Ip+BWAJVxRse2XQduxRr8Ab+hWAZVx8K1fbP2g7djxyADhCvwKwlAsLtu0dtB3Nie926hWq068ALOiSZQRt16Dt2LBwADhFvwKwqPcLtu0YtB3qFThHvwKwsPcKtm0O2g71CpyjXwFY3PmCbRuDcVO9AufpVwDu4NytXO3LwfBGjxwA3qNfAbiL0wXbvhh45ABwAf0KwL2cWkbwDvUKHNCvANzPDQWrXoFX9CsA93RlwapX4A39CsB9XVGw6hU4Qr8CcG+nbuV6xSMHgKP0KwD3937BOvUKnKJfAXiIswWrXoHT9CsAD3KyYNUrcI5+BeBh9gr2t7f/V70C79GvADzQtmB//P3ui/YKwAn6FYCHmm7l+vo3fzz9PwDv0a8APNimYH/zN7936hW4jH4F4PE25apegcvoVwAA1kS/AgCwJvoVAIA10a8AAKyJfgUAYE30KwDw/2/vzo4b1xEAitZ07o5EWSiBl9ZIALhjIy23ia5zPqaKIjbJP3douR+MRL8CADAS/QoAwEj0KwAAI9GvAACMRL8CADAS/QoAwEj0KwAAI9GvAACMRL8CADAS/QoAwEj0KwAAI9GvAACMRL8CADAS/QoAwEj0KwAAI9GvAACMRL8CADAS/QoAwEj0KwAAI9GvAACMRL8CADAS/QoAwEj0KwAAI9GvAACMRL8C8C2Pr68/b1+PZ3ql1yPMOzvr6rSP+M29gYl+BeC6Z2zXybmE1a/AJfoVgMu29fr2daLt9CtwiX4F4KJniLm9/rjTr8Al+hWAa/L5+ufPV7rfpF+BS/QrAJfM+fr1CJfP2HYvvQGrX4FL9CsAV0z5uo7VqWA7+06/ApfoVwCuSH+6FZ69zqao7Qs8/Qpcol8BuCCbr3PA9n2DQL8Cl+hXAC4IHZfp1BSwXYWnX4FL9CsA56XHr+lqLd7ZP5fN0q/AJfoVgPNCxmUrNT2ATVdV+hW4RL8CcFrMuHykxls9iadfgUv0KwCnxS8J5P9Kq/8LBPoVuES/AnBaqLjCdwT0K/DD9CsAH6VfgR+mXwHG83ikX+A/blhS3+nXx1ecXX1nrYZ8pk/nz9epz+c5faq1eWf7NS55y58TDEy/AgwgVtD6Yna7NIrH6jnVLganfJyU3lm1IZ/x7uKr6/M5THs1Z7q1Udz7OR1+dW9+7a3rGEAX/QowgBBCMah2kffS86jz70khmK6qNjF4CMi3bPQVG/JVjOHWTrtgs9OW/8OwUtp7XmF1a/eO+kIa6KBfAQYQAujdqflAi4Pa0vi2NP6KuEDXkVYxuHlUuZKLvmK/lhZpnKZQr2+HiYW9c/l6PEzmyMAV+hVgAFP+lCovDWtJw9vS+AvSCbueCS8xWArPl2P0lfq10qG1dKzsfezn/N7TzuvRuWW7/48GUKVfAe4v9tFzbqL090DLlzY7wyiNbkvjz0sn7DvPHINz601vbP111H0slvp1mfJI35yd/5DrpRTUq+h9TTvO2+2T3Xv+saTrt7Ru+Bbt6Z8TUKdfAe4v9k/qpM0fFk351fW888f7NfdHTBVTDKZZ27+YKkdftiGXBt5+FPPL+XSc8/XwoDU/Mbf3NHIzML44vzTt0/fBAHX6FeD+YjXFJNqV6pSM6bIuDu2Qxp+zJF9npaUYTNMOCV6q4Wy/TmOPmVpYJZjzNXMzu31m72nY9vzhpfVhwrDcGYDT9CvA/U2J9CqiQwGlBDvUX04c2iGN71f5lXvZOsuP3fkSB+wXzPVr7flmfpW3aVbhw5ve0mriYe9CAYdx2/f0Wi13OuA8/Qpwf3Mb5iovFVS6+g1TICbdlbaal83XQpYeGrKer8vddLlIn2vxwGni6nD7vael92uElXdZnPu3FIAr9CvA/YVCeslXXrz3i3G06ddCieYs84pPj48Fme3XRojmVnlJ+1c+uTix3K+lfI0HqiwMfId+Bbi/kEgv6XInNlXXFwh+xtKhLyf+e2DzvErzpkJcL7pryJe0UHnntMr2M8osffAeU957ytfj+fUr/CT9CnB7UyYVEjXevku/njjJNK+Sr/Oj1XT1duzX8EJ137jKdqP4WuO0j+39zd7paLnzh1u/+COBf5t+Bbi91HnFzKvf/Xm7fu1+8DjNqw5P8b5qwUO/pnXSVV4csi7KtHC66rTeu5Kv8d4v/kjg36ZfAW4v9VnxcV64+6ux9Hw+H1ONvvUFbJrROPmhTtcNGYTrxp5x0nqrmJ99J52t9p7yNbvC4YzAB+lXgNuLpVTOvMbtv2b1X83qKrc0vDV2P2rfhn0PUveD4qyzn9q8d9q0dPp0u/XWgEv0K8DtxX4tf5sy3L5Bv740sm4rxmDz4HHY8vb3/bq/zmut0mea1XyfjdvAd+hXgNuL/ZouMsLte/Tr8mv1dFmzT8qC/ZPSfXmGy/Z+YdSySutDzUt7tzN9GtF8d8B5+hXg9mIJpYuMcPs2oZQCtuM8vY9Aw7Dl/X+nX5dh4ep09Me9p0avTZ/HeAQLH6dfAW4vdlC6yAj37/OgL5Vbu9tiDKaLirjgvN6uX+OTzvbbj6uki+5ZO3HvpF6/U8AqWPg4/Qpwd63UuphiPyb96rx9oN5+3QXrxX7dTvtAv7Ye3s4Be6OfDfwb9CvA3e167SCmWM9DvjCwRxp/UYq8dFUWxnX8Cn/3AdQvi7bjemftxGlB746BgoVP0q8AdxczKF1ktO4vwsAeafxVcZFm4IWD/8P9+t9zeQTrSwTwQfoV4O5CBFUyLzZVuqgKA3uk8VfFEzWfOYZhw/Zr1zPV9F2Kt9N7ASX6FeDuWv0aH/Kli6owsEcaf1Xnl0tjDKaLil1r1i+LtuN6Z+3EaUlHeq9ndA0HOuhXgLsL8VOJwVbfLsJKPdL4y8IizSPFtEsXFbvWzF62H4Zup/XO2knTwv/2Fuk0WsDCp+hXgLsL7VMprXB/3H5tPwPdPWDeTfvOvz9wuijTItPXAvrmz1+DPZ3LQJZ+Bbi52EqVygv375VG4Ugf69cwrNivnZvtVwlXV/t1/l5r5wLT8PZ7BTroV4Cba1VebKNx+7V98jBsWW3/gfR9/zd+TMsq4fL0g+Z576lIO5M0DfcAFj5CvwLcXEymdJHR6tvPCxtW0y8M6OzXZkPGYUv67d9w7NdWGu5X6Zu1t+w9fyngVMCmK+Bb9CvAzbUeL8akShd/RTxRpds6HwnHkzcDMI5KFy/7fo3XrVoOg07P2lvvfS5g96cGrtOvADcXMqnSWa2+/byYYpU8jQPSRVkc1mrIOGo16FCC4bqx3fH5Z3zh5APYzd6nAraz6YEO+hXg5kL3tPr17HPEb2n+LrzzSKlfG/0Xx6zC79Cvh8LNCEM2+ZjqM1112u49BWzXpx9G6lf4BP0KcHOt7gn3/2q/phgsZmeMvHaqTf1abchjZh76tXWel1xyx5can9xje3+395mADWP1K3yCfgW4uRBIrX79u10UK64YbbHq0kXF3K+V/EvhuX5/x35NC6WrjLTKtnBTfNay9z3x67jT8kpauCdg9St8jH4FuLdYSJXICvf/cheFPUuHil3YUXRzv5YHpz7c3D/2a3PLcPtwvx2wcfvVvMPe/QEbhulX+AT9CnBvsZjSRUazb39CKs/sruleuqpJI98K+TfVYbqMDg2Zz9zF9E9d7Y87rV788I7bH/eexuz23jy1fYsz0wXwLfoV4N5a3fM7XRQ2zZZfPE/Xg8Y4tPLsNK212ya+mntt+7v+STlTC+05Sdm7npjZe1pk8+pr6m67MKSwEXCOfgW4txBRle6JRZUu/ppiE6bm6wq1FIOpPQ9L5frxLdOQy9hjN6fls0U9zcp1b7ZLq3svL4dhm1FxjK8PwEfoV4B7C+FTycHW/R8yVeG2/OZX03XdFIOp/3YROVXhvhbzDTkP/9o24nSiwpHmTXbTlnrdblTfe3o9TV7eUPoGw9//McG/Sb8C3FsrfEIZ/UIYzeX35/EMnfZ8LDEYRjTNMThPTEv991jWOsRioSFXB/p6xAM9H3O9Fo+0dOo0bTtvt09j73Rjnh7fz/xmDvOAS/QrwL2F8Kn83jnc/40He6vG2+k9zRKD5bUyzVdoyNoilXKc/rgrb//FgtLe0yLpreePUj4EcIp+Bbi1+Hyw1a+/8r3K1aPLje7DrGKwtFYuhUsNWU7R3NdbF5WAPbyV4t5TsaYD597Pr/yQ4J+kXwFurRhMSbNvf9IUbWsnHgVv3lt2rez7rnwkuUVqn15SKNjMp1reeyrWKWAPazZPAfTSrwC3FoMpXWRUYu4vmP7tgNmpkN6dfb9W6alp9S2vvjgbpS+1NhymFeZV9t4F7O6zOZH1QIt+BeA7ntPfWn3t/4T/vPVaXdmZ9VrkyirztD9fj2/svpb+pO0Dnwywpl8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAgfz3v/8Db4rgVmXrslwAAAAASUVORK5CYII=\" alt=\"An 8-by-9 matrix with each 2-by-3 block shaded a different color. The 4 (m) vertical and 3 (n) horizontal blocks are noted. The 2-by-3 (p-by-q) size of each block is also noted.\" data-image-state=\"image-loaded\" width=\"688\" height=\"474\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 297.5px 8px; transform-origin: 297.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYou can assume m, n, p, and q are all positive integers. (They can have the value 1, however.)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function A = blockjplusk1(m,n,p,q)\r\nA = m+n+p+q;\r\nend","test_suite":" %%\r\n A = blockjplusk1(6,1,2,3);\r\n Asol = [1 1 1;1 1 1;2 2 2;2 2 2;3 3 3;3 3 3;4 4 4;4 4 4;5 5 5;5 5 5;6 6 6;6 6 6];\r\n assert(isequal(A,Asol))\r\n %%\r\n A = blockjplusk1(6,7,3,2);\r\n Asol = [1 1 2 2 3 3 4 4 5 5 6 6 7 7;1 1 2 2 3 3 4 4 5 5 6 6 7 7;1 1 2 2 3 3 4 4 5 5 6 6 7 7;2 2 3 3 4 4 5 5 6 6 7 7 8 8;2 2 3 3 4 4 5 5 6 6 7 7 8 8;2 2 3 3 4 4 5 5 6 6 7 7 8 8;3 3 4 4 5 5 6 6 7 7 8 8 9 9;3 3 4 4 5 5 6 6 7 7 8 8 9 9;3 3 4 4 5 5 6 6 7 7 8 8 9 9;4 4 5 5 6 6 7 7 8 8 9 9 10 10;4 4 5 5 6 6 7 7 8 8 9 9 10 10;4 4 5 5 6 6 7 7 8 8 9 9 10 10;5 5 6 6 7 7 8 8 9 9 10 10 11 11;5 5 6 6 7 7 8 8 9 9 10 10 11 11;5 5 6 6 7 7 8 8 9 9 10 10 11 11;6 6 7 7 8 8 9 9 10 10 11 11 12 12;6 6 7 7 8 8 9 9 10 10 11 11 12 12;6 6 7 7 8 8 9 9 10 10 11 11 12 12];\r\n assert(isequal(A,Asol))\r\n %%\r\n A = blockjplusk1(3,1,1,4);\r\n Asol = [1 1 1 1;2 2 2 2;3 3 3 3];\r\n assert(isequal(A,Asol))\r\n %%\r\n A = blockjplusk1(2,4,2,3);\r\n Asol = [1 1 1 2 2 2 3 3 3 4 4 4;1 1 1 2 2 2 3 3 3 4 4 4;2 2 2 3 3 3 4 4 4 5 5 5;2 2 2 3 3 3 4 4 4 5 5 5];\r\n assert(isequal(A,Asol))\r\n %%\r\n A = blockjplusk1(8,3,3,1);\r\n Asol = [1 2 3;1 2 3;1 2 3;2 3 4;2 3 4;2 3 4;3 4 5;3 4 5;3 4 5;4 5 6;4 5 6;4 5 6;5 6 7;5 6 7;5 6 7;6 7 8;6 7 8;6 7 8;7 8 9;7 8 9;7 8 9;8 9 10;8 9 10;8 9 10];\r\n assert(isequal(A,Asol))\r\n %%\r\n m = randi(8);\r\n n = randi(8);\r\n p = randi(4);\r\n q = randi(4);\r\n A = blockjplusk1(m,n,p,q);\r\n assert( isequal(size(A),[m*p,n*q]) )","published":true,"deleted":false,"likes_count":4,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2022-10-24T13:13:51.000Z","deleted_by":null,"deleted_at":null,"solvers_count":107,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T17:16:12.000Z","updated_at":"2022-10-24T13:13:51.000Z","published_at":"2022-10-24T13:13:51.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven m, n, p, and q, create a matrix of m-by-n blocks (submatrices), each sized p-by-q. The elements of the (j,k)th block all have the same value: (j+k-1).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example, if m = 4, n = 3, p = 2, and q = 3, the matrix is:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"474\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"688\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"An 8-by-9 matrix with each 2-by-3 block shaded a different color. The 4 (m) vertical and 3 (n) horizontal blocks are noted. The 2-by-3 (p-by-q) size of each block is also noted.\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou can assume m, n, p, and q are all positive integers. (They can have the value 1, 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/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6tmC/jkdtX8+2VBoWGzLfr9/89Kc/HQ/402+++WXbN184DasOGe/Xz58+fBiP9+HT57YrIZuGZYfUr1H6Ffq2XL/+2njUtjHbQmlYbchwv34zBdeLVHgl07DwkOF+/dQO1uTCK5mGhYfUr1H6Ffq2WL/+/umobWu2ZdKw3JDRfn2dXKNv2ovz5NKw9JDRfn3VXBupOMylYekh9WuUfoW+Ldav7ahta7Zl0nCasdCQwX79ZTvQG4kTh6k0LD5ksF8/T1e7X8u0YSoNiw+pX6P0K/RtqX6drnl3nob1hsz168noirRhKA2rD5nr18/tOG98aG+YJZSG1YfUr1H6Ffq2UL9uo6vrNCw4ZKxfz0RXog0zaVh+yFi/noyuTBtm0rD8kPo1Sr9C35bp11109ZyGFYdM9etedP10utPol/t3IM1uw0gaGjLWry+XvD982mx/3lvCGbjwnUnD8kPq1yj9Cn1bpF9foqvjNCw5ZKpf20GG5mo7Nn750l1z2zCShtMog7JDpvp1F117pwhfTiTOb8NIGhpSv0bpV+jbEv26F139pmHNIUP9usurV3W1O5k49975RBoaMtWvu8A67Ktti82/OJ9IQ0Pq1yz9Cn3L9+vv34+uXtOw6pChfm3HeHtycJdds04bZtJwGqT0kKF+3ebVeMF7T9s9/9xmIg0NqV+z9Cv0Ld6vv68drml7Z8umYdkhM/36TTvGkXOD2/OJM89tBtLQkKl+3Z40fHN2cPvC6xq7WiANDalfw/Qr9C3drwenDAdt92zRNKw7ZKZf2yH2V2zutNe+aJs3CqThNEbtITP9uj1p2Db3nH7lOoE0NKR+DdOv0Ldsv746ZThoL8wWTMPKQ0b6dXtp++iZwe0ZxXnX5uenoSEHmX5thziyOHN72nDutflAGk6D1B5Sv0bpV+hbsl/312tuv2wvzRZLw9pDRvp1G1Zt89DZJLvY/DQ05CDSr9sHPB25tt1PGhpyoF+j9Cv0LdevB3cb/f7t+cP24myhNKw+ZKRf28rMoxe9d5e9H52GhhxE+7VtHmgvzV1bmkvDtnmgvfT8Q+rXKP0Kfcv1azvMxq+9XP9uL84WSsNpqFHJISP92o5woqvON9mF5qfhNEXxISP92k4NHrno3VEaGnKgX6P0K/RtiX79fcNW92lYc0j9OtGv1/j8+dOn42XVjv74NDTkQL9G6VfoW75ff+33b7Y6T8OqQ2bu3/rmm29++tPO09CQg1C/ntTP0tIz6gypX6P0K/Qt3q+bU4aDvtOw7JCRfj2vHf9Ek11ofhqeN8349EMu3a/nFnReY9E0rDOkfo3Sr9C3cL+25uo7DQsPuXy/9nJr/1lVhly6X9vBjy7ovMaiaTjNWGFI/RqlX6Fv0X7dNVfPaVh6yOX7tV30fvijVc+qMuTC/bp96P7claWLpmGhIfVrlH6FvuX69df2mqvbNKw+5PL92g7/+I+2Omca8fmHXLZft2s2Z1+ZXzINKw2pX6P0K/Qt16+HOk3DQ/WGXLxft0/kn3dn1MJpWGbIRft1e85w9o1RS6ZhqSH1a5R+hb7p10HbnE2/7k4azltZunAaTiMWGHLBft3ecBRYWLpcGhYbUr9G6Vfom34dtM3Z9Ot2zebMM5vLpmGdIRfq18+fdmcMI2W4SBoWHFK/RulX6Jt+HbTN2cr36/aW+Zk3Ri2bhoWGXKBfX84WThJlGE/DokPq1yj9Cn3Tr4O2OVv1ft1F19wzm0umYaUhF+/XD/OXlW4sm4ZlhtSvUfoV+qZfB21ztuL9uouumff1D5ZLw1JDLtCve9e7B5kyjKdh0SH1a5R+hb7p10HbnK14v26XbM6+ML9kGpYacvF+DTxWdWPZNCwzpH6N0q/QN/06aJuz1e7XXXTNvjC/YBrWGvIO/Ro5c7h0GhYZUr9G6Vfom34dtM3ZSvdrsgwXS8NiQy7Qr+14++afOEyn4TTXgQpD6tco/Qp906+Dtjlb5X6NluFSaVhtyCXOv34azxJ+3r/7aPad8/FTmzWH1K9R+hX6pl8HbXO2uv36csNRpAyXScN6Qy7Qry8+v1wAn3vhO52GL0oNqV+j9Cv0Tb8O2uZsZfs1XYaLpGHBIRft1/0nQM1sw+XSsNSQ+jVKv0Lf9Ougbc5WtV/jZbhEGlYccuF+/Y3P7ehzL84vmYaFhtSvUfoV+qZfB21ztqL9mi/DBdKw5JBL9+vLecN55zYXTcM6Q+rXKP0KfdOvg7Y5W81+3d1vlCvDfBrWHHLxft3dRD/vzvll07DMkPo1Sr9C3/TroG3OVrJflyjDeBoWHXL5ft1d927bt1k4DasMqV+j9Cv0Tb8O2uZsBfv1l4uUYTgNyw65fL/uThu2zdssnIZVhtSvUfoV+qZfB21ztnr9+rJgM/B5rHuiaVh3yDv063bd5qy1pUunYZEh9WuUfoW+6ddB25ytXL8uVYbRNCw8pH6d6Feup1+hb/p10DZnq9avi5VhMg0rD3mHft0u2+w6DYsMqV+j9Cv0Tb8O2uZsxfp1mVWlo1walh7yjv06697+e6Xhkw+pX6P0K/RNvw7a5my1+nXBMsylYe0hM/36+dOnDx9O3VbUy6V5Q+rXMP0KfdOvg7Y5W6l+XbIMY2lYfMhEv76TVX2koSE39GuUfoW+6ddB25ytUr++RNc3bU9SKA2rD5no13eWZX5oL7fN28xOQ0Nu6Nco/Qp906+DtjlboX59ueEofFPUJJOG5YdM9uuJZZl9pWHtIfVrlH6FvunXQducrU6/LlyGmTQ0ZGT9azvC8a7aNtmHtn2b2WloyA39GqVfoW/6ddA2Z6vTr+0gS5VhJg2nCQdlh4z063Zd5tHThtuThrffNL8xPw0NOdCvUfoV+qZfB21ztjL9uluyuVAZRtLQkJl+3Z4YPHba8NxrV5ifhoYc6Nco/Qp906+DtjlblX79ph1jsTJMpKEhQ/26u+x95Mp2e2Xmmc1AGhpyoF+j9Cv0Tb8O2uZsVfq1HWKJZ1I1gTScRqw9ZKZfd6cG39w4v73mPfPMZiINDalfw/Qr9E2/DtrmbEX6dXvNe7kyDKShIQeZfn2Jq8Ps2tXYqSdCXSyQhobUr2H6FfqmXwdtc7Yi/dqOcN68JJufhtMU73j2IUP9+pJXH/b6ans30qxb5ieJNDSkfs3Sr9A3/Tpom7PV6Nfdms2zHpyGhtwI9etedn3x6fMYXp92ZxIDZRhJQ0Pq1yz9Cn3Tr4O2OVuNft3dMn/Wg9PQkBupft3Prjfml2EmDQ2pX6P0K/RNvw7a5mw1+rUd4B0PTsNpiPc8+5Cxfj2TXYEyDKVh+SH1a5R+hb7p10HbnK1Ev1520fvBaWjIUa5fT2bX3jLO24XSsPqQ+jVKv0Lf9Ougbc6mX1/o13etql/37zJ6kTivOUilYfEh9WuUfoW+6ddB25xNv77Qr+9aWb/+xudX3fVh5gcCvMilYekh9WuUfoW+LdWvaYukYVr/QybWv97D3DS8i/6HzPbr4POndrv8h1wXDoJpOCg7pH6N0q/QN/0apF9T9GtEvF8Xkk3DhfQ/pH6N0q/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr/f2w7dfTX+cr776tu26J/0KfdOvQfo1Rb9G6Ncg/XpXP3zb/izN/RNWv0Lf9GuQfk3RrxH6NUi/3tEP7czrvq9+aC/eiX6FvunXIP2aol8j9GuQfr2fH9qf45X7noLVr9A3/RqkX1P0a4R+DdKvd3Pk5Ovkq/aGu9Cv0Df9GqRfU/RrhH4N0q/3ssvXb38Ylwzs7uO6b8DqV+ibfg3Sryn6NUK/BunXO9nG6sFqge3OOwasfoW+6dcg/ZqiXyP0a5B+vY9Wqq/v1touib3fTVz6FfqmX4P0a4p+jdCvQfr1Llqnvj3Pug3Ytrk8/Qp9069B+jVFv0bo1yD9ehfTH+DYMoGTZbsQ/Qp9069B+jVFv0bo1yD9eg/tUwva1qEWsG1rcfoV+qZfg/Rrin6N0K9B+vUepvlPLHKdlsbe6ymw+hX6pl+D9GuKfo3Qr0H69Q7On2KdXr3XAgL9Cn3Tr0H6NUW/RujXIP16B9PygZPPGJhOwLaNpelX6Jt+DdKvKfo1Qr8G6dc7mMZvG29NeXunBQT6FfqmX4P0a4p+jdCvQfp1ee8tEJhe16/AQL8G6dcU/RqhX4Oevl+3H9P61Vff3usWqdfe61P9Cuzo1yD9mqJfI/Rr0LP16+FS0x+2H9DafPWQhH1n+at+BV7o1yD9mqJfI/Rr0DP369SFrzygYPUrcDH9GqRfU/RrhH4NerZ+fbmX/2i9Dr46HZKvtG94X3v/rfQrsKNfg/Rrin6N0K9Bz9av0zuHL6aTnkddGrDt7e9r77+VfgV29GuQfk3RrxH6Negp+/Wr7XnYwbc/tMUE7T6ujQsDtr37fe39t3pvfUGUfoW+6dcg/ZqiXyP0a9CT9Ws7lbm9b+vbwyjcJexlrdje/L72/ltFDnIp/Qp9069B+jVFv0bo16Cn7Ndtvbade64K2Pbe97X336gt1G1bS9Ov0Df9GqRfU/RrhH4NerJ+3Vv1evw+rRaLF9Vie+v72vtvNDX1vZ6LoF+hb/o1SL+m6NcI/Rr0tP166uOuWsCe/jSse2sD3Wn5q36FzunXIP2aol8j9GvQk/Xrdn3Au5/WerdefNc0zr1Ov+pX6Jx+DdKvKfo1Qr8GPVm/tneePb06NW4vJ2DbGeO75bR+hb7p1yD9mqJfI/Rr0HP26/k4nd7TNh6snQ2+2+lX/Qqd069B+jVFv0bo16Dn6tft3Vnnz2ZOpzzvl4xn3H81rn6FvunXIP2aol8j9GvQU/bre2k6vqmLBQRtve4dF+PqV+ibfg3Sryn6NUK/Bj1lv7atk6ZqbBuPdP981a/QOf0apF9T9GuEfg16rn69cGXA9La28UAtX+96Jli/Qt/0a5B+TdGvEfo16Bn79d3TmdNp2nue9Tzq/otfB/oV+qZfg/Rrin6N0K9Bz9WvFy4MmMLx0TdwtXy9c0frV+ibfg3Sryn6NUK/Bj1Xv45vu6BLL33fkh6Tr/oVOqdfg/Rrin6N0K9BT9ivFwTh+L7H9uuD8lW/Quf0a5B+TdGvEfo16Kn6dWrCtnHO+L53+3V81yXa+6/xqHzVr9A5/RqkX1P0a4R+DSrZr9P7Htqv7dED9z8HrF+hb3/f9I/D4E/4z/bsjxwm/CPb193qf8g/YfxVb/y2/0LP/uhhwj+6fd2t/of8beOveuNP/s/17I8aJvyj2tfd6n/IP3n8VW/8fe2f95PGxw9ccDv/1K/vnvoc33WJ9v4rPOLJWRP9Cn370fSvAwDP4Uftn/eTVtOvj8tX/Qqd068AT+Xdfh2z8IIovPDzC8Z3XaK9/2IPzFf9Cp3TrwBP5d1+Hd91QRWO73tcvz4yX/UrdO4fnP6BGPz7//M9+2OHCf/Y9nW3+h/yPzj+qjf+zP9qz/7EYcI/sX3drf6H/DPHX/XGf+Qf6tkfP0z4x7evu9X/kP/R8Ve98Q+2f95PGt/1fhZeePvWUh6ar/oVOuf5A0GeP5Di+QMRnj8Q9EzPH5i69P2zoRd+yuxCHpuv+hU6p1+D9GuKfo3Qr0EV+/XCty1jiueH/Xj9Cp3Tr0H6NUW/RujXoCfs1/cWBjx0+UCb8WFnf/UrdE6/BunXFP0aoV+Dnqlf26nN967MT+96TEA+PF/1K3ROvwbp1xT9GqFfg56wX9+5ND+tP33M6dfH56t+hc7p1yD9mqJfI/Rr0DP1a7sz6vwJ2JaQbeu+OshX/Qqd069B+jVFv0bo16Bn6tf2trN92BLyIQXZQ77qV+icfg3Sryn6NUK/Bj1lv54+AdsS8iEPr+oiX/UrdE6/BunXFP0aoV+Dnqhft304ONWn8lW/Quf0a5B+TdGvEfo16On69dtxFezxQr3wAQXLmH724z72q9Gv0Df9GqRfU/RrhH4NeqJ+ner025PPx9qdn33IGdAHf+zWjn6FvunXIP2aol8j9GvQ0/XrD7tFAodnOn/YPZ2gdL7qV+icfg3Sryn6NUK/Bj1Rv06JONTp9kTrV199O7bqDz98u3007KMKchvP59xnZYF+hb7p1yD9mqJfI/Rr0BP16/SmzVe7lQJvPWb56SX5ql+BgX4N0q8p+jVCvwY9Zb++LBZ45TFrBy7LV/0KDPRrkH5N0a8R+jXoefp1Oum6XR5wNBkfU68X5qt+BQb6NUi/pujXCP0a9Gz9+hKBL0teJ9Na2Ae4MF/1KzDQr0H6NUW/RujXoOfp1+3js1788O1XUzt+9e3D4rU7+hX6pl+D9GuKfo3Qr0HP1q869R36FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Neg5+nXaalA2+AU/Qp9069B+jVFv0bo16Dn6dfpPW2DU/Qr9E2/BunXFP0aoV+DnqxfH//5rL3Tr9A3/RqkX1P0a4R+DXqafj18/Cun6Ffom34N0q8p+jVCvwY9Wb/e5xmqa6ZfoW/6NUi/pujXCP0a9DT9+vbxrxyjX6Fv+jVIv6bo1wj9GvRk/erxWe/Rr9A3/RqkX1P0a4R+DXqafp0en6Vf36NfoW/6NUi/pujXCP0a9DT9Or2lbXCSfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo16Fn61eOzLqRfoW/6NUi/pujXCP0a9Fz96vED79Kv0Df9GqRfU/RrhH4NepZ+9fisC+lX6Jt+DdKvKfo1Qr8GPUu/ciH9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn1bsF/Ho7avZ1sqDYsNme/Xb37605+OB/zpN9/8su2bL5yGVYeM9+vnTx8+jMf78Olz25WQTcOyQ+rXKP0KfVuuX39tPGrbmG2hNKw2ZLhfv5mC60UqvJJpWHjIcL9+agdrcuGVTMPCQ+rXKP0KfVusX3//dNS2NdsyaVhuyGi/vk6u0TftxXlyaVh6yGi/vmqujVQc5tKw9JD6NUq/Qt8W69d21LY12zJpOM1YaMhgv/6yHeiNxInDVBoWHzLYr5+nq92vZdowlYbFh9SvUfoV+rZUv07XvDtPw3pD5vr1ZHRF2jCUhtWHzPXr53acNz60N8wSSsPqQ+rXKP0KfVuoX7fR1XUaFhwy1q9noivRhpk0LD9krF9PRlemDTNpWH5I/RqlX6Fvy/TrLrp6TsOKQ6b6dS+6fjrdafTL/TuQZrdhJA0NGevXl0veHz5ttj/vLeEMXPjOpGH5IfVrlH6Fvi3Sry/R1XEalhwy1a/tIENztR0bv3zprrltGEnDaZRB2SFT/bqLrr1ThC8nEue3YSQNDalfo/Qr9G2Jft2Lrn7TsOaQoX7d5dWrutqdTJx773wiDQ2Z6tddYB321bbF5l+cT6ShIfVrln6FvuX79ffvR1evaVh1yFC/tmO8PTm4y65Zpw0zaTgNUnrIUL9u82q84L2n7Z5/bjORhobUr1n6FfoW79ff1w7XtL2zZdOw7JCZfv2mHePIucHt+cSZ5zYDaWjIVL9uTxq+OTu4feF1jV0tkIaG1K9h+hX6lu7Xg1OGg7Z7tmga1h0y06/tEPsrNnfaa1+0zRsF0nAao/aQmX7dnjRsm3tOv3KdQBoaUr+G6VfoW7ZfX50yHLQXZgumYeUhI/26vbR99Mzg9ozivGvz89PQkINMv7ZDHFmcuT1tOPfafCANp0FqD6lfo/Qr9C3Zr/vrNbdftpdmi6Vh7SEj/boNq7Z56GySXWx+GhpyEOnX7QOejlzb7icNDTnQr1H6FfqW69eDu41+//b8YXtxtlAaVh8y0q9tZebRi967y96PTkNDDqL92jYPtJfmri3NpWHbPNBeev4h9WuUfoW+5fq1HWbj116uf7cXZwul4TTUqOSQkX5tRzjRVeeb7ELz03CaoviQkX5tpwaPXPTuKA0NOdCvUfoV+rZEv/6+Yav7NKw5pH6d6NdrfP786dPxsmpHf3waGnKgX6P0K/Qt36+/9vs3W52nYdUhM/dvffPNNz/9aedpaMhBqF9P6mdp6Rl1htSvUfoV+hbv180pw0HfaVh2yEi/nteOf6LJLjQ/Dc+bZnz6IZfu13MLOq+xaBrWGVK/RulX6Fu4X1tz9Z2GhYdcvl97ubX/rCpDLt2v7eBHF3ReY9E0nGasMKR+jdKv0Ldov+6aq+c0LD3k8v3aLno//NGqZ1UZcuF+3T50f+7K0kXTsNCQ+jVKv0Lfcv36a3vN1W0aVh9y+X5th3/8R1udM434/EMu26/bNZuzr8wvmYaVhtSvUfoV+pbr10OdpuGhekMu3q/bJ/LPuzNq4TQsM+Si/bo9Zzj7xqgl07DUkPo1Sr9C3/TroG3Opl93Jw3nrSxdOA2nEQsMuWC/bm84CiwsXS4Niw2pX6P0K/RNvw7a5mz6dbtmc+aZzWXTsM6QC/Xr50+7M4aRMlwkDQsOqV+j9Cv0Tb8O2uZs5ft1e8v8zBujlk3DQkMu0K8vZwsniTKMp2HRIfVrlH6FvunXQducrXq/7qJr7pnNJdOw0pCL9+uH+ctKN5ZNwzJD6tco/Qp906+Dtjlb8X7dRdfM+/oHy6VhqSEX6Ne9692DTBnG07DokPo1Sr9C3/TroG3OVrxft0s2Z1+YXzINSw25eL8GHqu6sWwalhlSv0bpV+ibfh20zdlq9+suumZfmF8wDWsNeYd+jZw5XDoNiwypX6P0K/RNvw7a5myl+zVZhoulYbEhF+jXdrx9808cptNwmutAhSH1a5R+hb7p10HbnK1yv0bLcKk0rDbkEudfP41nCT/v3300+875+KnNmkPq1yj9Cn34/sfti1f066Btzla3X19uOIqU4TJpWG/IBfr1xeeXC+BzL3yn0/BFqSH1a5R+hR58/+Mvvm5fvqJfB21ztrL9mi7DRdKw4JCL9uv+E6BmtuFyaVhqSP0apV/h8b7e/IumX9/SrxnxMlwiDSsOuXC//sbndvS5F+eXTMNCQ+rXKP0KD/b9j6d/0b5v26/o10HbnK1ov+bLcIE0LDnk0v36ct5w3rnNRdOwzpD6NUq/wkNt6/WLL9qO1/TroG3OVrNfd/cb5cown4Y1h1y8X3c30c+7c37ZNCwzpH6N0q/wQC/1+sWJ27f060bbnK1kvy5RhvE0LDrk8v26u+7dtm+zcBpWGVK/RulXeJi9ej25/FW/brTN2Qr26y8XKcNwGpYdcvl+3Z02bJu3WTgNqwypX6P0KzzG9+NNWy/06xH6da6XBZuBz2PdE03DukPeoV+36zZnrS1dOg2LDKlfo/QrPMLBqddRe+EN/Tpom7OV69elyjCahoWH1K8T/cr19Cvc39t61a9H6dd5FivDZBpWHvIO/bpdttl1GhYZUr9G6Ve4t2P1enL5gH7daJuzFevXZVaVjnJpWHrIO/brrHv775WGTz6kfo3Sr3BfXx+rV/16nH6dY8EyzKVh7SEz/fr506cPH07dVtTLpXlD6tcw/Qp3dPTU6+jEpxfo11HbnK1Uvy5ZhrE0LD5kol/fyao+0tCQG/o1Sr/C3Zyu19PLX/XrRtucrVK/vkTXN21PUigNqw+Z6Nd3lmV+aC+3zdvMTkNDbujXKP0K9/PqkVl7Tn16gX4dtc3ZCvXryw1H4ZuiJpk0LD9ksl9PLMvsKw1rD6lfo/Qr3NHJgD25/FW/brTN2er068JlmElDQ0bWv7YjHO+qbZN9aNu3mZ2GhtzQr1H6Fe7pVMDq16P0663aQZYqw0waThMOyg4Z6dftusyjpw23Jw1vv2l+Y34aGnKgX6P0K9zV9+3fr1faq0fo10HbnK1Mv+6WbC5UhpE0NGSmX7cnBo+dNjz32hXmp6EhB/o1Sr/CnR09BdteO0K/DtrmbFX69Zt2jMXKMJGGhgz16+6y95Er2+2VmWc2A2loyIF+jdKvcG9HAvb08oHf1K+DtjlblX5th1jimVRNIA2nEWsPmenX3anBNzfOb695zzyzmUhDQ+rXMP0K93ZkCYF+PU6/3mR7zXu5MgykoSEHmX59iavD7NrV2KknQl0skIaG1K9h+hXu7chTYE9+eoF+HbXN2Yr0azvCefOSbH4aTlO849mHDPXrS1592Our7d1Is26ZnyTS0JD6NUu/wp0dW//aXjpGvw7a5mw1+nW3ZvOsB6ehITdC/bqXXV98+jyG16fdmcRAGUbS0JD6NUu/wn0dy9fTn16gX0dtc7Ya/bq7Zf6sB6ehITdS/bqfXW/ML8NMGhpSv0bpV7iro08fOLP8Vb9utM3ZavRrO8A7HpyG0xDvefYhY/16JrsCZRhKw/JD6tco/Qr3dPzxr/r1BP16g8suej84DQ05yvXryezaW8Z5u1AaVh9Sv0bpV7in9q/X6Me7G7nai0fp10HbnE2/vtCv71pVv+7fZfQicV5zkErD4kPq1yj9Cnd08OiB73eLCdqrR+nXQducTb++0K/vWlm//sbnV931YeYHArzIpWHpIfVrlH6F+zlY/LpZNDDtOLd8YLF+TVskDdP6HzKx/vUe5qbhXfQ/ZLZfB58/tdvlP+S6cBBMw0HZIfVrlH6Fu3mTr22Xfr0X/ZqiXyPi/bqQbBoupP8h9WuUfoV7Obh3a9usm51nPr1Av0bp1xT9GqFfg/RrMfoV7qX9yzXae+Lr12eXv+rXJP2aol8j9GuQfi1Gv8KdHNy71faNzp5+1a9J+jVFv0bo1yD9Wox+hfs4svj1Ivo1SL+m6NcI/RqkX4vRr3AXt+arfk3Sryn6NUK/BunXYvQr3MPN+apfk/Rrin6N0K9B+rUY/Qp3cPDogb17ty6gX4P0a4p+jdCvQfq1GP0Kd3Dy3q336dcg/ZqiXyP0a5B+LUa/wvIOVg+cf9zAG/o1SL+m6NcI/RqkX4vRr7C42xe/DvRrkH5N0a8R+jVIvxajX2Fps/JVvybp1xT9GqFfg/RrMfoVFnb0Y2Mvp1+D9GuKfo3Qr0H6tRj9Cgtr/2BN2r4r6Ncg/ZqiXyP0a5B+LUa/wrLm3Lu1oV+D9GuKfo3Qr0H6tRj9Couat/h1oF+D9GuKfo3Qr0H6tRj9Ckuana/6NUm/pujXCP0apF+L0a+woJn3bm3o1yD9mqJfI/RrkH4tRr/Cgto/VqPrPjZ2R78G6dcU/RqhX4P0azH6FZYz42Njd/RrkH5N0a8R+jVIvxajX2Ex8xe/DvRrkH5N0a8R+jVIvxajX2EpkXzVr0n6NUW/RujXIP1ajH6FhWTyVb8m6dcU/RqhX4P0azH6FZZx8OiBG+/d2tCvQfo1Rb9G6Ncg/VqMfoVlJO7d2tCvQfo1Rb9G6Ncg/VqMfoVFHKweuOFjY3f0a5B+TdGvEfo1SL8Wo19hCaHFrwP9GqRfU/RrhH4N0q/F6FdYQC5f9WuSfk3RrxH6NUi/FqNfIS/wsbE7+jVIv6bo1wj9GqRfi9GvkNf+jZq0fbfSr0H6NUW/RujXIP1ajH6FuNi9Wxv6NUi/pujXCP0apF+L0a+QFlz8OtCvQfo1Rb9G6Ncg/VqMfoWwbL7q1yT9mqJfI/RrkH4tRr9CVvLerQ39GqRfU/RrhH4N0q/F6FfIav8+jWZ8bOyOfg3Sryn6NUK/BunXYvQrRKU+NnZHvwbp1xT9GqFfg/RrMfoVksKLXwf6NUi/pujXCP0apF+L0a8QlM9X/ZqkX1P0a4R+DdKvxehXyFkgX/Vrkn5N0a8R+jVIvxajXyGn/ds0Sty7taFfg/Rrin6N0K9B+rUY/Qox8Xu3NvRrkH5N0a8R+jVIvxajXyHlYPXA3I+N3dGvQfo1Rb9G6Ncg/VqMfoWQJRa/DvRrkH5N0a8R+jVIvxajXyFjoXzVr0n6NUW/RujXIP1ajH6FiPTHxu689Ot/+X/Rs794mPAvbl93q/8h/8vjr3rjX/q/9+xvGSb8W9rX3ep/yH9p/FVv/FP/+579dcOEf137ulv9D/lPjb/qDf0aoF8hov2zNGn7In7UjgnAU/hR++edGfQrJCxz79aGfgV4Kvo1QL9CwFKLXwf6FeCp6NcA/QrzLZiv+hXguejXAP0Ksy1279aGfgV4Kvo1QL/CbO2fpFHqY2N39CvAU9GvAfoV5jr42NjovVsb+hXgqejXAP0KMy25+HWgXwGein4N0K8wz8L5ql8Bnot+DdCvMMvS+apfAZ6Lfg3QrzBL++doFL93a+Pl82P/B//fnv29w4R/b/u6W/0P+d8ff9Ub/+L/rWd/6zDh39q+7lb/Q/6L469641/9//Ts7xkm/Hva193qf8h/dfxVb/j82AD9CnMc3LvV9mW99Ovv/bd79ruGCX9X+7pb/Q/5e8df9cbv/o2e/Y5hwt/Rvu5W/0P+7vFXvfF7/q2e/c5hwt/Zvu5W/0P+nvFXvaFfA/QrzHCweiD+6IGRfg3Sryn6NUK/BunXYvQr3G7xxa8D/RqkX1P0a4R+DdKvxehXuNk98lW/JunXFP0aoV+D9Gsx+hVutejHxu7o1yD9mqJfI/RrkH4tRr/Crdq/RJO2L0+/BunXFP0aoV+D9Gsx+hVudId7tzb0a5B+TdGvEfo1SL8Wo1/hNndZ/DrQr0H6NUW/RujXIP1ajH6Fm9wrX/Vrkn5N0a8R+jVIvxajX+EW97l3a0O/BunXFP0aoV+D9Gsx+hVu0f4VGi3ysbE7+jVIv6bo1wj9GqRfi9GvcIODj41d7t6tDf0apF9T9GuEfg3Sr8XoV7je3Ra/DvRrkH5N0a8R+jVIvxajX+Fq98xX/ZqkX1P0a4R+DdKvxehXuNZd81W/JunXFP0aoV+D9Gsx+hWu1f4FGi1779aGfg3Sryn6NUK/BunXYvQrXOng3q22b0H6NUi/pujXCP0apF+L0a9wnYPVA8s+emCkX4P0a4p+jdCvQfq1GP0KV7nv4teBfg3Sryn6NUK/BunXYvQrXOPu+apfk/Rrin6N0K9B+rUY/QpXOPjY2OXv3drQr0H6NUW/RujXIP1ajH6FK9z53q0N/RqkX1P0a4R+DdKvxehXuNy9793a0K9B+jVFv0bo1yD9Wox+hYvdf/HrQL8G6dcU/RqhX4P0azH6FS71kHzVr0n6NUW/RujXIP1ajH6FCx3cu3W3fNWvSfo1Rb9G6Ncg/VqMfoULtX94Rvd59MBIvwbp1xT9GqFfg/RrMfoVLnPw6IE73bu1oV+D9GuKfo3Qr0H6tRj9Chd5zOLXgX4N0q8p+jVCvwbp12L0K1ziYfmqX5P0a4p+jdCvQfq1GP0KF3hcvurXJP2aol8j9GuQfi1Gv8IF2j86ozveu7WhX4P0a4p+jdCvQfq1GP0K73vAx8bu6Ncg/ZqiXyP0a5B+LUa/wrsOVg/c8dEDI/0apF9T9GuEfg3Sr8XoV3jPAxe/DvRrkH5N0a8R+jVIvxajX+Edj81X/ZqkX1P0a4R+DdKvxehXOO/gY2PvfO/Whn4N0q8p+jVCvwbp12L0K5z3yHu3NvRrkH5N0a8R+jVIvxajX+Gsh967taFfg/Rrin6N0K9B+rUY/QrnPHjx60C/BunXFP0aoV+D9Gsx+hXOeHy+6tck/ZqiXyP0a5B+LUa/wmkH9249Jl/1a5J+TdGvEfo1SL8Wo1/htPZvzegBjx4Y6dcg/ZqiXyP0a5B+LUa/wkkHjx54xL1bG/o1SL+m6NcI/RqkX4vRr3BKB4tfB/o1SL+m6NcI/RqkX4vRr3BCH/mqX5P0a4p+jdCvQfq1GP0Kx/Vw79ZGvl+/+elPfzoe8KfffPPLtm++cBpWHTLer58/ffgwHu/Dp89tV0I2DcsOuWS//mI68C/a5iyLpWGtIfVrlH6F49q/M6NH3bu1Ee7Xb6bgepEKr2QaFh4y3K+f2sGaXHgl07DwkEv260+mA/edhrWG1K9R+hWOevTHxu5E+/V1co2+aS/Ok0vD0kNG+/VVc22k4jCXhqWHXLBfW3T1nYbFhtSvUfoVjulk8esg2K+/bAd6I3HiMJWGxYcM9uvn6Wr3a5k2TKVh8SGX69d2zbvvNKw2pH6N0q9wRD/5GuzXk9EVacNQGlYfMtevn9tx3vjQ3jBLKA2rD7lcv25PGnadhtWG1K9R+hXe6ihfc/16JroSbZhJw/JDxvr1ZHRl2jCThuWHXKxfd9HVcxqWG1K/RulXeOPg0QOPvHdrI9Wve9H10+lOo1/u34E0uw0jaWjIWL++XPL+8Gmz/XlvCWfgwncmDcsPuVS/7q5595yG9YbUr1H6Fd7o5t6tjVS/toMMzdV2bPzypbvmtmEkDadRBmWHTPXrLrr2ThG+nEic34aRNDTkUv3aDrrRbxpO842KDKlfo/QrvHaweuBRHxu7E+rXXV69qqvdycS5984n0tCQqX7dBdZhX21bbP7F+UQaGnKpfn255t1xGhYcUr9G6Vd4pafFr4NQv7ZjvD05uMuuWacNM2k4DVJ6yFC/bvNqvOC9p+2ef24zkYaGXKhff70dc9RrGlYcUr9G6Vc41Fm+hvr1m3aMI+cGt+cTZ57bDKShIVP9uj1p+Obs4PaF1zV2tUAaGnKhft1bsjnoNA1LDqlfo/QrHOjlY2N3Mv3aDrG/YnOnvfZF27xRIA2nMWoPmenX7UnDtrnn9CvXCaShIRfq1/1r3t2mYckh9WuUfoUD7Z+X0aMfPTCK9Ov20vbRM4PbM4rzrs3PT0NDDjL92g5xZHHm9rTh3GvzgTScBqk95BL92q55b9urzzSsOaR+jdKvsO/g0QMPv3drI9Kv27Bqm4fOJtnF5qehIQeRft0+4OnIte1+0tCQgwX6tV3z/sn22neXaVh0SP0apV9hT2+LXweRfm0rM49e9N5d9n50GhpyEO3XtnmgvTR3bWkuDdvmgfbS8w+5QL+2s4W7tZtdpmHRIfVrlH6FFx3ma6Zf2xFOdNX5JrvQ/DScpig+ZKRf26nBIxe9O0pDQw7y/dqi6xddp2HVIfVrlH6Fne7u3drQrxP9eo3Pnz99Ol5W7eiPT0NDDuL92lrrJy/3zneYhmWH1K9R+hV22j8toy7u3drI3L/1zTff/PSnnaehIQehfj2pn6WlZ9QZMt6v7WjDVx2n4TRYwSH1a5R+ha2uPjZ2J9Kv57Xjn2iyC81Pw/OmGZ9+yKX79dyCzmssmoZ1hkz36+6ad89pWHdI/RqlX6HpcfHrYPl+7eXW/rOqDLl0v7aDH13QeY1F03CascKQ4X7dPvBp83W3aVh4SP0apV9h0mm+3qFf20Xvhz9a9awqQy7cr9uH7s9dWbpoGhYaMtyv06HG6Oo3DaexSg6pX6P0K4x6zdc79Gs7/OM/2uqcacTnH3LZft2u2Zx9ZX7JNKw0ZLZf965595uGlYfUr1H6FTYOHj3Qzb1bG4v36/aJ/PPujFo4DcsMuWi/bs8Zzr4xask0LDVktF/bNe9fn7Y6TcPSQ+rXKP0KG33eu7WxeL+2o89cWbpwGk4jFhhywX7d3nAUWFi6XBoWGzLZry2zpmvevaZh7SH1a5R+hcHB6oEuPjZ2Z+l+3a7ZnHlmc9k0rDPkQv36+dPujGGkDBdJw4JDJvv14Jp3r2lYe0j9GqVfoePFr4OF+3V7y/zMG6OWTcNCQy7Qry9nCyeJMoynYdEhg/3aoqtd8+40DYsPqV+j9Ct0na8L9+suuuae2VwyDSsNuXi/fpi/rHRj2TQsM2SuX1tkba9595mG1YfUr1H6Fbr82NidRft1F10z7+sfLJeGpYZcoF/3rncPMmUYT8OiQ+b6tZ00bFuDHtOw+pD6NUq/QvsXZdTVowdGi/brdsnm7AvzS6ZhqSEX79fAY1U3lk3DMkPG+vX1Ne8u07D8kPo1Sr9SXsf3bm0s2a+76Jp9YX7BNKw15B36NXLmcOk0LDJkql9bYr1c8+4xDQ2pX6P0K9V1vfh1sGC/JstwsTQsNuQC/dqOt2/+icN0Gk5zHagwZKpf20Ha1qi/NJzmqTykfo3SrxTXe74u2K/RMlwqDasNucT510/jWcLP+3cfzb5zPn5qs+aQoX5t17wPAqu7NDSkfs3Sr9TW971bG0v168sNR5EyXCYN6w25QL+++PxyAXzuhe90Gr4oNWSmX9vHRe1f8+4vDQ2pX8P0K7W1f01G/d27tbFQv6bLcJE0LDjkov26/wSomW24XBqWGjLSr9u+aptNZ2loyIF+jdKvlNbvx8buLNOv8TJcIg0rDrlwv/7G53b0uRfnl0zDQkNG+vXYNe/u0tCQA/0apV+prPvFr4NF+jVfhgukYckhl+7Xl/OG885tLpqGdYZM9OvRa969paEhN/RrlH6lsDXk6yL9urvfKFeG+TSsOeTi/bq7iX7enfPLpmGZIQP92urqdXT1lYaGHOnXKP1KXavI1yX6dYkyjKdh0SGX79fdde+2fZuF07DKkIF+PX7Nu7M0NORIv0bpV8o6ePRAn/dubcT79ZeLlGE4DcsOuXy/7k4bts3bLJyGVYac368tut6cNOwqDQ050a9R+pWyVnDv1ka6X18WbAY+j3VPNA3rDnmHft2u25y1tnTpNCwy5Px+bd/+vln1NTMNpwku8ORD6tco/UpVB6sH+vvY2J1wvy5VhtE0LDykfp3o1wu1b3+ffn3HNMEF9Gsn9CtFrWPx6yDbr4uVYTINKw95h37dLtvsOg2LDKlfD+lXLqdfqWk1+Zrt12VWlY5yaVh6yDv266x7+++Vhk8+pH49pF+5nH6lpP4/NnYn2a8LlmEuDWsPmenXz58+ffhw6raiXi7NG1K/vqZfuZx+paT2j8ik7etUsF+XLMNYGhYfMtGv72RVH2loyA39eki/cjn9SkVruXdrI9evL9H1TduTFErD6kMm+vWdZZkf2stt8zaz09CQG/P79SentON+0TbfPhbqGjPTsI3w1jRimSH1a5R+paD1LH4dxPr15Yaj8E1Rk0walh8y2a8nlmX2lYa1h5zfryd19dEApxQbUr9G6VfqWVW+xvp14TLMpKEhI+tf2xGOd9W2yT607dvMTkNDbujXiX7levqVclZ079ZGql/bQZYqw0waThMOyg4Z6dftusyjpw23Jw1vv2l+Y34aGnKgXyf6levpV8pp/4CM+v3Y2J1Qv+6WbC5UhpE0NGSmX7cnBo+dNjz32hXmp6EhB/p1ol+5nn6lmpV8bOxOpl+/acdYrAwTaWjIUL/uLnsfubLdXpl5ZjOQhoYc6NeJfuV6+pVi1rX4dZDp13aIJZ5J1QTScBqx9pCZft2dGnxz4/z2mvfMM5uJNDSkftWv3E6/Usvq8jXTr9tr3suVYSANDTnI9OtLXB1m167GTj0R6mKBNDSkftWv3E6/Usr68jXTr+0I581LsvlpOE3xjmcfMtSvL3n1Ya+vtncjzbplfpJIQ0Pq12lG/coN9CuVHDx6YAX3bm0k+nW3ZvOsB6ehITdC/bqXXV98+jyG16fdmcRAGUbS0JD6dZpRv3ID/Uola7t3ayPRr7tb5s96cBoaciPVr/vZ9cb8MsykoSH160S/cj39SiEHqwc6/9jYnUS/tgO848FpOA3xnmcfMtavZ7IrUIahNCw/pH6d6Feup1+pY4WLXweBfr3soveD09CQo1y/nsyuvWWctwulYfUh9etEv3I9/UoZ68xX/XpIv17h5S6jF4nzmoNUGhYfUr9O9CvX069UsbKPjd3Rrwf06zU+v+quDzM/EOBFLg1LD6lfJ/qV6+lXqmj/bkzavjVIrH+9h7lpeBf9D5nt18HnT+12+Q+5LhwE03BQdsgF+zVqqTSM6n9I/RqlXylilfdubejXoIL9upBsGi6k/yH1a5B+LUa/UsNKF78O9GuQfk3RrxH6NUi/FqNfKWG9+apfk/Rrin6N0K9B+rUY/UoFa713a0O/BunXFP0aoV+D9Gsx+pUK2r8Zo5V8bOyOfg3Sryn6NUK/BunXYvQrBazxY2N39GuQfk3RrxH6NUi/FqNfeX4rXvw60K9B+jVFv0bo1yD9Wox+5emtO1/1a5J+TdGvEfo1SL8Wo195divPV/2apF9T9GuEfg3Sr8XoV55d+/ditLZ7tzb0a5B+TdGvEfo1SL8Wo195cqu+d2tDvwbp1xT9GqFfg/RrMfqV53awemBNHxu7o1+D9GuKfo3Qr0H6tRj9ylNb++LXgX4N0q8p+jVCvwbp12L0K8/sCfJVvybp1xT9GqFfg/RrMfqVJ7bmj43d0a9B+jVFv0bo1yD9Wox+5Ym1fyombd/q6Ncg/ZqiXyP0a5B+LUa/8rzWf+/Whn4N0q8p+jVCvwbp12L0K0/rGRa/DvRrkH5N0a8R+jVIvxajX3lWT5Kv+jVJv6bo1wj9GqRfi9GvPKmnuHdrQ78G6dcU/RqhX4P0azH6lSfV/pkYrfFjY3f0a5B+TdGvEfo1SL8Wo195TgcfG7vae7c29GuQfk3RrxH6NUi/FqNfeUrPsvh1oF+D9GuKfo3Qr0H6tRj9yjN6onzVr0n6NUW/RujXIP1ajH7lCT1TvurXJP2aol8j9GuQfi1Gv/KE2j8Ro1Xfu7WhX4P0a4p+jdCvQfq1GP3K8zm4d6vtWy/9GqRfU/RrhH4N0q/F6FeezsHqgVU/emCkX4P0a4p+jdCvQfq1GP3Ks3mqxa8D/RqkX1P0a4R+DdKvxehXnsyz5at+TdKvKfo1Qr8G6ddi9CvP5Wk+NnZHvwbp1xT9GqFfg/RrMfqV5/Jc925t6Ncg/ZqiXyP0a5B+LUa/8lSe7N6tDf0apF9T9GuEfg3Sr8XoV57J0y1+HejXIP2aol8j9GuQfi1Gv/JEnjFf9WuSfk3RrxH6NUi/FqNfeR7Pd+/Whn4N0q8p+jVCvwbp12L0K8+j/cswWv3Hxu7o1yD9mqJfI/RrkH4tRr/yNA4ePfAc925t6Ncg/ZqiXyP0a5B+LUa/8iyecvHrQL8G6dcU/RqhX4P0azH6lSfxrPmqX5P0a4p+jdCvQfq1GP3Kc3jafNWvSfo1Rb9G6Ncg/VqMfuU5tH8VRs9z79aGfg3Sryn6NUK/BunXYvQrT+H5PjZ2R78G6dcU/RqhX4P0azH6lWdwsHrgeR49MNKvQfo1Rb9G6Ncg/VqMfuUJPO/i14F+DdKvKfo1Qr8G6ddi9Cvr99T5ql+T9GuKfo3Qr0H6tRj9yuodfGzsc927taFfg/Rrin6N0K9B+rUY/crqPfG9Wxv6NUi/pujXCP0apF+L0a+s3TPfu7Xxt7U/2hdf/HH/mZ794cOEf3j7ulv9D/nHjb/qjT/mP9Wz8W+yfd2t/of8Y8Zf9ca/9z/ds986TPhb29fd6n/If9/4q97429o/78ygX1m55178OvhR+7MB8BR+1P55Zwb9yro9fb7qV4Dnol8D9CurdnDv1lPmq34FeC76NUC/smrtH4PR8z16YPRPtD/eF1/8ef/dnv22YcLf1r7uVv9D/nnjr3rjz/lv9OxPGib8k9rX3ep/yD9n/FVv/Mf/Wz37U4cJ/9T2dbf6H/I/Nv6qN/6J9s87M+hX1uzg0QNPeO/WhucPBHn+QIrnD0R4/kCQ5w8Uo19Zsedf/DrQr0H6NUW/RujXIP1ajH5lvUrkq35N0q8p+jVCvwbp12L0K6tVI1/1a5J+TdGvEfo1SL8Wo19ZrfYPwehJ793a0K9B+jVFv0bo1yD9Wox+Za2e/GNjd/RrkH5N0a8R+jVIvxajX1mpg9UDT/rogZF+DdKvKfo1Qr8G6ddi9CvrVGTx60C/BunXFP0aoV+D9Gsx+pVVqpOv+jVJv6bo1wj9GqRfi9GvrNHBx8Y+8b1bG/o1SL+m6NcI/RqkX4vRr6xRlXu3NvRrkH5N0a8R+jVIvxajX1mhMvdubejXIP2aol8j9GuQfi1Gv7I+hRa/DvRrkH5N0a8R+jVIvxajX1mdWvmqX5P0a4p+jdCvQfq1GP3K2hzcu/X8+apfk/Rrin6N0K9B+rUY/cratP/9j5780QMj/RqkX1P0a4R+DdKvxehXVubg0QPPfu/Whn4N0q8p+jVCvwbp12L0K+tSbPHrQL8G6dcU/RqhX4P0azH6lVWpl6/6NUm/pujXCP0apF+L0a+sSbV7tzb0a5B+TdGvEfo1SL8Wo19Zk/a//VGFe7c29GuQfk3RrxH6NUi/FqNfWZFKHxu7o1+D9GuKfo3Qr0H6tRj9ynqU+tjYHf0apF9T9GuEfg3Sr8XoV1aj4L1bG/o1SL+m6NcI/RqkX4vRr6xF0XzVr0n6NUW/RujXIP1ajH5lJQ4ePVDl3q0N/RqkX1P0a4R+DdKvxehXVmId9259Pfp+0HbMp1+D9GuKfo3Qr0H6tRj9yjqs5N6tgzEHPx68NO1Nc+vXIP2aol8j9GuQfi1Gv7IKq1n82kY86fqE1a9B+jVFv0bo1yD9Wox+ZQ3Wc+/WwTKHt26YXb8G6dcU/RqhX4P0azH6lRVY0cfGHoz6xi2z69cg/ZqiXyP0a5B+LUa/sgLtf/Kj3h89cO4E7E3prV+D9GuKfo3Qr0H6tRj9Sv8OkrD3z906cwL2tjPH+jVIv6bo1wj9GqRfi9GvdG9lH1xw+gRse8OV9GuQfk3RrxH6NUi/FqNf6d3K8vX0Cdgbzxzr1yD9mqJfI/RrkH4tRr/SuRXduzU51a+3zq5fg/Rrin6N0K9B+rUY/Urn2v/cRyv42NjvTy0fuDm99WuQfk3RrxH6NUi/FqNf6dtBDrZ9/fr65OLX288c69cg/ZqiXyP0a5B+LUa/0rU1LX49eep1MOPMsX4N0q8p+jVCvwbp12L0Kz1bUb6eq9dZZ471a5B+TdGvEfo1SL8Wo1/p2Hry9Xy9znporX4N0q8p+jVCvwbp12L0K/06uJO/43u3vj/o7CNmpbd+DdKvKfo1Qr8G6ddi9Cv9Wse9W++ceh3MO3OsX4P0a4p+jdCvQfq1GP1Ktw7Oavb6sbHv1+vchQ/6NUi/pujXCP0apF+L0a/0ag2LX0/V6/7uuQsf9GuQfk3RrxH6NUi/FqNf6VT/+Xry1OuPv99f+tDefTP9GqRfU/RrhH4N0q/F6Ff61P3Hxp6r1/3xZy980K9B+jVFv0bo1yD9Wox+pU/tf+WjDh89cL5eB9vX56e3fg3Sryn6NUK/BunXYvQrXer73q1THxO7jddBOwEbOHOsX4P0a4p+jdCvQfq1GP1Kj3pe/PruqdfJ+K7E6Po1SL+m6NcI/RqkX4vRr3So43y9sF6nE7CRhQ/5fv3mpz/96XjAn37zzS/bvvnCaVh1yHi/fv704cN4vA+fPrddCdk0LDvkkv36i+nAv2ibsyyWhrWG1K9R+pX+9Hvv1sl6/frtGodhb/tqnnC/fjMF14tUeCXTsPCQ4X791A7W5MIrmYaFh1yyX38yHbjvNKw1pH6N0q/0p/0vfNTTvVsHp4X3vD71Ovk6tG432q+vk2v0TXtxnlwalh4y2q+vmmsjFYe5NCw95IL92qKr7zQsNqR+jdKvdOfgHGfb93gXLxzYCZ05DvbrL9uB3kicOEylYfEhg/36ebra/VqmDVNpWHzI5fq1XfPuOw2rDalfo/Qrvely8ev19RqT69eT0RVpw1AaVh8y16+f23He+NDeMEsoDasPuVy/bk8adp2G1YbUr1H6lc70mK+nl722Nywp1q9noivRhpk0LD9krF9PRlemDTNpWH7Ixfp1F109p2G5IfVrlH6lL/3l6/fXLXuNS/XrXnT9dLrT6Jf7dyDNbsNIGhoy1q8vl7w/fNpsf95bwhm48J1Jw/JDLtWvu2vePadhvSH1a5R+pSsHjx7o4d6tBy4caFL92g4yNFfbsfHLl+6a24aRNJxGGZQdMtWvu+jaO0X4ciJxfhtG0tCQS/VrO+hGv2k4zTcqMqR+jdKvdKWze7ceX6+xft3l1au62p1MnHvvfCINDZnq111gHfbVtsXmX5xPpKEhl+rXl2veHadhwSH1a5R+pScHl+rvl4gnnKrXH991XUOoX9sx3p4c3GXXrNOGmTScBik9ZKhft3k1XvDe03bPP7eZSENDLtSvv96OOeo1DSsOqV+j9Csd6Wnxaw+nXkeZfv2mHePIucHt+cSZ5zYDaWjIVL9uTxq+OTu4feF1jV0tkIaGXKhf95ZsDjpNw5JD6tco/Uo/OsrXbuo11a/tEPsrNnfaa1+0zRsF0nAao/aQmX7dnjRsm3tOv3KdQBoacqF+3b/m3W0alhxSv0bpV7rRz8fGdlSvoX7dXto+emZwe0Zx3rX5+WloyEGmX9shjizO3J42nHttPpCG0yC1h1yiX9s172179ZmGNYfUr1H6lW60/2FP2r5H+PrUstfHLMiN9Os2rNrmobNJdrH5aWjIQaRftw94OnJtu580NORggX5t17x/sr323WUaFh1Sv0bpV3rRx71bXZ16HUX6ta3MPHrRe3fZ+9FpaMhBtF/b5oH20ty1pbk0bJsH2kvPP+QC/drOFu7WbnaZhkWH1K9R+pVOdLH4tb96DfVrO8KJrjrfZBean4bTFMWHjPRrOzV45KJ3R2loyEG+X1t0/aLrNKw6pH6N0q/0oYd8PVmvXz+uXvXrln69xufPnz4dL6t29MenoSEH8X5trfWTl3vnO0zDskPq1yj9Shcef+/Woz8m9qTM/VvffPPNT3/aeRoachDq15P6WVp6Rp0h4/3ajjZ81XEaToMVHFK/RulXutD+Rz16xMfG9rhwoIn063nt+Cea7ELz0/C8acanH3Lpfj23oPMai6ZhnSHT/bq75t1zGtYdUr9G6Vd6cFCPbd8ddVyv9+jXXm7tP6vKkEv3azv40QWd11g0DacZKwwZ7tftA582X3ebhoWH1K9R+pUOPHbx66l6ve/HxJ60fL+2i94Pf7TqWVWGXLhftw/dn7uydNE0LDRkuF+nQ43R1W8aTmOVHFK/RulXHu+R+dr1qdfR8v3aDv/4j7Y6Zxrx+Ydctl+3azZnX5lfMg0rDZnt171r3v2mYeUh9WuUfuXhHpiv/dfrHfp1+0T+eXdGLZyGZYZctF+35wxn3xi1ZBqWGjLar+2a969PW52mYekh9WuUfuXh2v+gR3e9d2sN9XqHfm1Hn7mydOE0nEYsMOSC/bq94SiwsHS5NCw2ZLJfW2ZN17x7TcPaQ+rXKP3Kox1EZNt3D519TOxJS/frds3mzDOby6ZhnSEX6tfPn3ZnDCNluEgaFhwy2a8H17x7TcPaQ+rXKP3Kgx2sHrhbOq7j1Oto4X7d3jI/88aoZdOw0JAL9OvL2cJJogzjaVh0yGC/tuhq17w7TcPiQ+rXKP3KYz1k8euK6nXpft1F19wzm0umYaUhF+/XD/OXlW4sm4Zlhsz1a4us7TXvPtOw+pD6NUq/8lCPyNeT9frQj4k9adF+3UXXzPv6B8ulYakhF+jXvevdg0wZxtOw6JC5fm0nDdvWoMc0rD6kfo3SrzzSAz429qCY9/R46nW0aL9ul2zOvjC/ZBqWGnLxfg08VnVj2TQsM2SsX19f8+4yDcsPqV+j9CuP1P63PGn7lrSqhQPNkv26i67ZF+YXTMNaQ96hXyNnDpdOwyJDpvq1JdbLNe8e09CQ+jVKv/JAd753a431umi/JstwsTQsNuQC/dqOt2/+icN0Gk5zHagwZKpf20Ha1qi/NJzmqTykfo3SrzzOfRe/nl722t7QqeX6NVqGS6VhtSGXOP/6aTxL+Hn/7qPZd87HT23WHDLUr+2a90FgdZeGhtSvWfqVh7lnvn6/umWvO0v168sNR5EyXCYN6w25QL+++PxyAXzuhe90Gr4oNWSmX9vHRe1f8+4vDQ2pX8P0K49yx3u31rlwoFmoX9NluEgaFhxy0X7dfwLUzDZcLg1LDRnp121ftc2mszQ05EC/RulXHqX973i06MfGrrpel+rXeBkukYYVh1y4X3/jczv63IvzS6ZhoSEj/Xrsmnd3aWjIgX6N0q88yEFUtn1LOFWv64jXwSL9mi/DBdKw5JBL9+vLecN55zYXTcM6Qyb69eg1797S0JAb+jVKv/IY91n8uvJTr6Ml+nV3v1GuDPNpWHPIxft1dxP9vDvnl03DMkMG+rXV1evo6isNDTnSr1H6lYe4S74+Q70u0q9LlGE8DYsOuXy/7q57t+3bLJyGVYYM9Ovxa96dpaEhR/o1Sr/yCPfI1+eo1wX69ZeLlGE4DcsOuXy/7k4bts3bLJyGVYac368tut6cNOwqDQ050a9R+pVHaP8bHi1z79bXa1/2upPu15cFm4HPY90TTcO6Q96hX7frNmetLV06DYsMOb9f27e/b1Z9zUzDaYILPPmQ+jVKv/IAB23Z9iU9y6nXUbhflyrDaBoWHlK/TvTrhdq3v0+/vmOa4AL6tRP6lfs7WD2QL8qnqtd0vy5Whsk0rDzkHfp1u2yz6zQsMqR+PaRfuZx+5e6WXfx6sl6X/YiE5UT7dZlVpaNcGpYe8o79Ouve/nul4ZMPqV8P6Vcup1+5tyXzdcUfE3tSsl8XLMNcGtYeMtOvnz99+vDh1G1FvVyaN6R+fU2/cjn9yp0t+LGxT7ZwoAn265JlGEvD4kMm+vWdrOojDQ25oV8P6Vcup1+5s/Y/30nbF/Gc9Zrs15fo+qbtSQqlYfUhE/36zrLMD+3ltnmb2WloyI35/fqTU9pxv2ibbx8LdY2ZadhGeGsascyQ+jVKv3JfS927dapef7zWZa87sX59ueEofFPUJJOG5YdM9uuJZZl9pWHtIef360ldfTTAKcWG1K9R+pW7Wmbx67Oeeh2l+nXhMsykoSEj61/bEY531bbJPrTt28xOQ0Nu6NeJfuV6+pV7WiRfn7pec/3aDrJUGWbScJpwUHbISL9u12UePW24PWl4+03zG/PT0JAD/TrRr1xPv3JHS9y79eT1GuvX3ZLNhcowkoaGzPTr9sTgsdOG5167wvw0NORAv070K9fTr9xR+5/uKPOxsc/zMbEnZfr1m3aMxcowkYaGDPXr7rL3kSvb7ZWZZzYDaWjIgX6d6Feup1+5n4PWDATm0596HWX6tR1iiWdSNYE0nEasPWSmX3enBt/cOL+95j3zzGYiDQ2pX/Urt9Ov3E148WuNeg316/aa93JlGEhDQw4y/foSV4fZtauxU0+EulggDQ2pX/Urt9Ov3Es2X0/W69fPVa+hfm1HOG9eks1Pw2mKdzz7kKF+fcmrD3t9tb0badYt85NEGhpSv04z6lduoF+5k2i+Hhxsz5Odeh0l+nW3ZvOsB6ehITdC/bqXXV98+jyG16fdmcRAGUbS0JD6dZpRv3ID/cqdtP/Zjubdu1Vl4UCT6NfdLfNnPTgNDbmR6tf97Hpjfhlm0tCQ+nWiX7mefuU+Dpqz7btJsXrN9Gs7wDsenIbTEO959iFj/XomuwJlGErD8kPq14l+5Xr6lbs4uOA/IzRP1ev6Pyb2pEC/XnbR+8FpaMhRrl9PZtfeMs7bhdKw+pD6daJfuZ5+5R4yi1+/r7TsdUe/HtCvV3i5y+hF4rzmIJWGxYfUrxP9yvX0K3cQyddyCwca/XpAv17j86vu+jDzAwFe5NKw9JD6daJfuZ5+ZXmJj42tWq+Z9a/3MDcN76L/IbP9Ovj8qd0u/yHXhYNgGg7KDrlgv0YtlYZR/Q+pX6P0K8ubf+/WyWWvzx6vA/0aVLBfF5JNw4X0P6R+DdKvxehXFjf33q26p15H+jVIv6bo1wj9GqRfi9GvLG3m4tfi9apfo/Rrin6N0K9B+rUY/crC5uXryXp9uo+JPUm/BunXFP0aoV+D9Gsx+pVlzbp3q+Tzsl7Tr0H6NUW/RujXIP1ajH5lWe1/raPrPja2/MKBRr8G6dcU/RqhX4P0azH6lUUdNOg13alet/RrkH5N0a8R+jVIvxajX1nSrYtfTy97bW8oRL8G6dcU/RqhX4P0azH6lQXdlq81Pyb2JP0apF9T9GuEfg3Sr8XoV5ZzU75aOPCKfg3Sryn6NUK/BunXYvQry2n/Sx1deO+Wen1Dvwbp1xT9GqFfg/RrMfqVxRykaNt33ql6/XHBZa87+jVIv6bo1wj9GqRfi9GvLOVg9cAFZ0+dej1Ovwbp1xT9GqFfg/RrMfqVhVy5+FW9nqJfg/Rrin6N0K9B+rUY/coyrstX9Xqafg3Sryn6NUK/BunXYvQri7jqY2O/PrXsVbwO9GuQfk3RrxH6NUi/FqNfWcRBkbZ9xzn1+g79GqRfU/RrhH4N0q/F6FeWcPG9W+r1Xfo1SL+m6NcI/RqkX4vRryzg0sWvJ+v1a/W6o1+D9GuKfo3Qr0H6tRj9+pvfXvZo0vY0/q/axuVu/LaIB/3sC/P14G17nHo9oF+D9GuKfo3Qr0H6tRj9+sOFj9bXrxe76N4tCwcupV+D9GuKfo3Qr0H6tRj9OvyX1L56z/hfnX593/hTmxMfG6teL6dfg/Rrin6N0K9B+rWY8v361fBfUvvyPeN/dfr1XQdpejRHT9Vr6Y+JPUm/BunXFP0aoV+D9Gsx1fv1h81/Se3r94z/1enX97y3+NWp1yvp1yD9mqJfI/RrkH4tpni/jvmqX5PeyVf1ejX9GqRfU/RrhH4N0q/FFO/XzeoB/Zp0Pl/V6w30a5B+TdGvEfo1SL8WU7tfv53+S2pb7xnfq1/PG39i8/rerZPLXsXrOfo1SL+m6NcI/RqkX4sp3a/T6gH9GnRQqG3fxKnXW+nXIP2aol8j9GuQfi2mdL+2/5D0a8zB6oH9LlWvt9OvQfo1Rb9G6Ncg/VpM5X6dFr8O2vZ7xvfq1zNOLX49Wa8+JvYC+jVIv6bo1wj9GqRfiyncr9vVA/o15US+Huze49TrZfRrkH5N0a8R+jVIvxZTt19f8lW/Zhx8bOz23i0LB2bTr0H6NUW/RujXIP1aTN1+3a0e0K8hR+7dUq8B+jVIv6bo1wj9GqRfiynbr3unX/VrxNt7t04vex2/gcvo1yD9mqJfI/RrkH4tpmq/7uerfk14vfj1e8teQ/RrkH5N0a8R+jVIvxYT69cfvh0vyH/11bdtx74fvp0+KeCrb4+9+gh7qwdu79f2Zz71p26md7SNI779anuUb3/4oe27wLeXfN/0ett43w/jr+nsn+aUV/lq4UCOfg3Sryn6NUK/BunXYm7v1+kM5hROU/dsva6fHw5isYuCbfO2s7Bt53vG9+5i8PDPvKnI9sJr06tt47VtAe9c9tfz5tu++PZowo4vHfvZ2+H3X9v/A13evJODe7e+Vq9J+jVIv6bo1wj9GqRfi4n066uS21bt5OBK/ejUycL7aTN9O/XdLf162OTN8eg789Kxg1xQsEe/7ejf67j/yM/eHmHvpdd/ouv+74z2TaO//0S9/tiy15vo1yD9mqJfI/RrkH4t5vZ+naJ1+OJtoO530Zu2HVwYsMe+9airT+lO3zYMOX3R9r5nfO/0Jzs12rFJxheONOTpP9/5v58T9brx5hvHvW9/9rF8bbteHBv5lFPnW/c49Xor/RqkX1P0a4R+DdKvxczv12P5ugu5o6cpLw3Yxfq1DTVMMX3Rdr9nfO+m6o7/kUdHou/U/jMdeiYdz/zsweu/iXHnm6Ntf/Leu48e9sL/O+P0JxS8UK+3069B+jVFv0bo1yD9Wszt/TpG0FcvLTTeQ7S7o2lqn10VTaszX5aMXlRGS/Vrm2ozw/TVtPtd43uHGHxpvXbj1Muf+lh6Ht/9Uvbbm9p+2FtR+9Wpv6C9H/RtW/K6/32vf86xfbvx939GO+54yJc/zakpXnk3X9XrHPo1SL+m6NcI/RqkX4u5vV/H38G3Uwzt51aLqU00tVI68eq7FurX7VSbr6cvx93vG9/71a7/Du+YOh19487Xf+BdRB6W6m73iXTc/ZBXf+S9hD34xnHP4c/e/Yj9N7adu13t51z0azq8d+st8TqTfg3Sryn6NUK/BunXYmb269Q5h63VWmgorOmLU6++a6F+bW02fr335fvG937V/gBvz5Bux30dfcd2Ho3I0faVo+m4zddjLx798W/37I5/8JOnb97bNb7t6Axvjd97inqdTb8G6dcU/RqhX4P0azE39+uuwN5WzvRSW1rwpvOmVLokjZbp13bUaazp6/HL943vbQn5pjsH2yUBr/5sx/Ydf+foxFE2tq8c++Evv5H9b3yzox3i9dHHfQeHHY52bLojzt27pV4D9GuQfk3RrxH6NUi/FjO/X0921hiKJ19tG3fX5m7JO21MX79revPoeEEez9Iju46+b6e9+qbK2+gnvmvQvnFvuHF77xvaO14fYzpy22h+OP1zDpxZ/Pq1ek146df/+v+5Z3/DMOHf0L7uVv9D/tfGX/XGP/a/7dlfOUz4V7avu9X/kP/Y+Kve+Gf+Dz3764cJ//r2dbf6H/KfGX/VG/o14OZ+3Z4cPVo57bVB27Fv+s7rrvnnjD98N/W01TbeM715o+14621Bvm3I90P02FEG095zWTl94+l+PZGv00DnDnzayXx16jXlR+1vFICn8KP2zzszzO7Xo2cit510/NXxldtqabZXaThttY33TG8eHP1TTabjH/zhTuw59zfQpmxbzZFDvzG858zPbod9O//t/XoqX9Vrjn4FeCr6NeDmfm0tdPw06jaUzrx6Uy3N1s587uaaNtvGe6Y3n83XNz9gMO7Y/+O29G9bx7SjHPygtq9tnfJqbez4Le1ntwMcm396qW1c5X88fudrv129BulXgKeiXwNu7tf2S2hbr2xPzrbNVx7Yr+NUez972m4b75ne/M7kLd3b1sa4vf9N447zCyiOJO504LPf9db4PdPPPpOv7bVzXX7KqfOvPio2R78CPBX9GjCzX0/kVMuvE68+rl9bXL6E2rTdNt4zvfm9zJvetPdHH7f3/rjTX847f/7xPfs/akrMa//WXr5pm6/Hj3DmpXecfPqAgk3RrwBPRb8G3NqvLYdOtFzr1xOvPqxf3w497Wgb75ne/N7gb/L09fZFJ1Kno+y9afqud9r5jfGbNj+7lfup6aeX3/ujHXX68VlfS9gI/QrwVPRrwMx+bVuvtX5tW689ql/bzPs/edrTNt4zvfndhJze1jYG4+beD329fdz4rjNHucz2u97J1+0v7OrjD859+paCTdCvAE9FvwbM69dTJxGnXDr16tkXF9Qirm2N3u4548I3Tz/mJXPHzZcyfHNm9bjpbbujnP/7Pmn8rvZJEuNXp7R3nPhohLPOPAB2oGBn068AT0W/Btzar6/y6pXXCXdofPH+/drOMR5MNe1qG+8Z3/v+KcrXgTpu3tivu7ed//s+afyu7WeGnfv2dm76pt/L+YBVsHPpV4Cnol8DlunX8cWTWTi+ePd+bYV2+HOnfW3jPeN73597+kEvwfpqc4rJtnHaqxOuF37Xa+N3bZ2t313A3vCb+fvbd55iGcEs+hXgqejXgFv79XxPjS+eOlM5ldLVpxLnGn/q66GmnW3jPeN7L6i78X1z+/XVtwX69Z2/8ZeAvX4Rwel7uLYU7O1ePj/2v/3/7NnfPUz4d7evu9X/kP+d8Ve98a/9/3r2DwwT/gPt6271P+S/Nv6qN/6F/2vP/uZhwr+5fd2t/of8F8Zf9YbPjw24tV/H38D5Qj1Vehf363SO9wKXnDGcAvD1j512to33jO+9YO7xfSf79dXmSYfvO9y62Phto/e/94f2VzS4tmDP3cO1pWBv9dKvv/s3evY7hgl/R/u6W/0P+bvHX/XG7/m3evY7hwl/Z/u6W/0P+XvGX/XGv/z/6NnfPkz4t7evu9X/kP/y+Kve0K8Bs/r1fKGeenXK0rZxTrJf29nF11027W0b7xnf+7z9evAXfsn/SbDnIGBPnY1VsLfRr0H6NUW/RujXIP1azI39ev4c6vlXH9GvLV/fRNy0u228Z3zvWvv1snOqe6dg254LHdzD9fXJT+WSsDfQr0H6NUW/RujXIP1azCL9OoXnqVfHRrokj4L92rqsbb04sfu48b0XnJgc3/fyBzy/edLh+w63LjZ+29YlAbu3iOCSt784SNbvTz+TQMFeTb8G6dcU/RqhX4P0azE39uv5Qj1/hnV88ZIUy/VrO9Lbeaf9beM943sz/XrBjxzfdtivlw76Yvyur7ZNelGRvhTsdQF7sGrg+zNP1VKwV9KvQfo1Rb9G6Ncg/VrMrH5tG29MBdQ23hhfvCADc/3aVg+8571eG9/0fnhPP+1lpnHz5dvO/+W8GN+2+7bpu64rysH4XS+fX3DZ9+/+3tv2ZQ6XwG72WEaQoV+D9GuKfo3Qr0H6tZgb+/WCQj0ZeuOrl/RrzPgT3xfq1yn/Tvbr9PK7JfnqKBd+12vjdw0/+7qA3b79/T/rvoOAbYWqYAP0a5B+TdGvEfo1SL8Wc2O/jr+A2wr1/NLZJWzj7T0X9ev7JyVfp+a4+fJ39fr07AnT0LujvI7iC43ftfnZ27+DC5O0vb1tXeggVreBahnBbPo1SL+m6NcI/RqkX4uZ06/nC7Wbfp1+4AUu69d3G3J6W9sYjJuv+/XdNHz1rgu/67Xxm8afPQXwlQF7ZS8ftOr3beeZZQTtDZynX4P0a4p+jdCvQfq1mNv6dU6hTiHVNu5h/HmXuKxf3wvAN2dKx+297xq33/th01Gu/a43xm+ajrLN+AsD9pr37ry+h6uxEHYW/RqkX1P0a4R+DdKvxczp1/OF2k2/njPOcukw05vfa8g3bxq390rwTeAe8+b85/Rd1/69jd/TfvZ1ATsN0DYuNn5TM97DtXWqYH+sYN+lX4P0a4p+jdCvQfq1mOX6tW28MYbRtSf2ljJOemW/np/9bWeO2/vfNO44n8Fvj9Lq88or+uP3bH/2NmDfK/DR+V/iKW8fQrBjIeyt9GuQfk3RrxH6NUi/FnNbv15QqCdfHV+8MsMWMw5zaaVNbz4//JHMHHfs9+v0t3c2g48sP21J+97Z38PXx2/Z/aRrAnZ6b9u43EGlvipTC2Fvo1+D9GuKfo3Qr0H6tZgl+nV88WSeja+uul/P5d8UngdHHHcc/HWMe879HUxHOfwrbPF5Nns333hw2Nff0sa7IGBv7NezAfub358sWAl7mn4N0q8p+jVCvwbp12Ju69cxg24r1KmLLjgBeBfjMFf36+nxWx8evD7uOfjLail68ijHT7VeELDTj9/7vnF7/zsuDtjz/yfKGSfu4dqyjOBq+jVIv6bo1wj9GqRfi7mtX8e///OF+tT9emr+VoeHf/Zx12F1HsvcFy1f34Rq+67TAfv2x4/bB99wPGB/eHPQ8U2nfoln7Qfs4RLYiYK9kn4N0q8p+jVCvwbp12IW69dThTrF2Yr7dQrAY3+AH44H5sl9J/4KT2fq8fbcaudnD77xzY6Xg+zvHb711Y+b8Ws6cw9Xc3oh7NvztejXJP2aol8j9GuQfi3mpn6dc4b15uvSixiHuapfv2rf8zYvj/XjxrGdu/e++WvaRvCxobbfdfSv/liXnv/ZbXvwanP3nrZ1pWMfJPuahbCX069B+jVFv0bo1yD9WsyMfr2tUKfMahsPNw5zZb9u++8wIndt+aoWjzfky9u/Pfhr3NXr8b/d3Xe9+raXen31g47sejnKbn/75pc/UFvBcOo3/J6DOD0VpJYRXEq/BunXFP0aoV+D9GsxN/Xr+YvL5/t1fPFN4z3KOM2V/bqXqq0if/i2Bd/g7R/t+O6XFB1adDzMcJRdhZ78y315x/bbDr/v1c85tu/lZ29faJvtz/PD9g/z9o9yqYM2Pbkm4OuDW732KNgD+jVIv6bo1wj9GqRfi5nRr23jjTGmTrbP+K2nlh7c3TjNtf26d5b0jSN/7hP7zxzkXDm+lPIxr/9ix51Hfva4f9AK+OgoZ4Z410GZtn1H+GDZS+jXIP2aol8j9GuQfi3mpn6dcqdtvDG+eDJ+xldX3q8Hp0EPHDttOr5w7O/jZIqe/evZO3H72tvVtNPutrFnV6ztO478ed4e7Arv38O1dapgfbDsjn4N0q8p+jVCvwbp12Ju6tfxr/+2Qp3qa04aRY3T3NCvx09ZHv9Djy8d/du68bzniYI9FpzTC23jwKuAfdPS705x3iX3cDUWwr5Dvwbp1xT9GqFfg/RrMbf36/lCffZ+PRKfp/7I44sncnC31nTrq1NHOfDm20593/Ra2zj0KmB/c28R7WD2b+igSt8pUR8se5Z+DdKvKfo1Qr8G6ddibupXJt9++9UUfV9t76W6we72q6++uixeJy93bQ3fdsX3ndP+ONvb0uY5aNL3nuvqg2XP0K9B+jVFv0bo1yD9Wox+ZSHvfJDsa5YRnKJfg/Rrin6N0K9B+rUY/cpS2v9OR2fv4WoU7HH6NUi/pujXCP0apF+L0a8s5fKHEGz5YNlj9GuQfk3RrxH6NUi/FqNfWcxBjV54EtVC2Df0a5B+TdGvEfo1SL8Wo19Zzi0BaxnBa/o1SL+m6NcI/RqkX4vRryzoynu4Gh8se0C/BunXFP0aoV+D9Gsx+pUl7ZfoRUtgJz5Ydo9+DdKvKfo1Qr8G6ddi9CtLuv4eri0Fu6Vfg/Rrin6N0K9B+rUY/cqirvgg2dcshJ3o1yD9mqJfI/RrkH4tRr+yrJvu4Wp8sOyGfg3Sryn6NUK/BunXYvQrC7vtHq7GQlj9GqVfU/RrhH4N0q/F6FeWdhCwbd8VThXsj6sUrH4N0q8p+jVCvwbp12L0K0u7/R6upvhCWP0apF9T9GuEfg3Sr8XoVxY34x6upvRCWP0apF9T9GuEfg3Sr8XoV5Z3UJ+3Jef3dRfC6tcg/ZqiXyP0a5B+LUa/cgcH8XntPVxbVZcR6Ncg/ZqiXyP0a5B+LUa/cg+zHkKwU7Ng9WuQfk3RrxH6NUi/FqNfuYv2P9rRLfdwNacXwt4cxd3Tr0H6NUW/RujXIP1ajH7lLmY/hGCn3EJY/RqkX1P0a4R+DdKvxehX7uMgO+elZrFlBPo1SL+m6NcI/RqkX4vRr9zJQXXOvNr/9cF62j3PWLD6NUi/pujXCP0apF+L0a/cS+YerqbQB8vG+/Xzpw8fxuN9+PS57UrIpmHZIZfs119MB/5F25xlsTSsNaR+DdKvxehX7mY/YGctgZ2cKthn+2DZcL9+agdrcuGVTMPCQy7Zrz+ZDtx3GtYaMtivH9uBjmtvulUqDYsPqV+j9Ct3k7uHq6mxEDbar6+aayMVh7k0LD3kgv3aoqvvNCw2ZLBfv2wHOq696VapNCw+pH6N0q/cz/wPkn2twgfLBvv183S1+7VMG6bSsPiQy/Vru+bddxpWGzLYr+04J7Q33SqVhtMwp7Q33ar/IfVrlH7ljg5qM5OYz//Bsrl+/dyO88aH9oZZQmlYfcjl+nV70rDrNKw2pH7d1950K/1ajH7lnqL3cG09+TKCWL+ejK5MG2bSsPyQi/XrLrp6TsNyQ+b69fyizU7SsPqQ+jVKv3JXBwHb9s331AUb69eXS94fPm22P+8t4Qxc+M6kYfkhl+rX3TXvntOw3pD6dV971630azH6lbuK38PVPPEHy6b6dRdde6cIX04kzm/DSBoacql+bQfd6DcNp/lGRYbM9ev5m446ScPqQ+rXKP3KfeXv4dp61oWwoX7dBdZhX21bbP7F+UQaGnKpfn255t1xGhYcMtev7TDftc2wUBpOM9YdUr9G6Vfu7CAzs2n5nMsIQv26zavxgveetnv+uc1EGhpyoX799XbMUa9pWHHIeL+2rbRsGrattP6H1K9R+pV7O6jM8NX9Z/xg2Uy/bk8avjk7uH3hdY1dLZCGhlyoX/eWbA46TcOSQ8b6tS3a/LJtpmXSsPyQ+jVKv3J3izyEYOv5Plg206/bk4Ztc8/pV64TSENDLtSv+9e8u03DkkPq1yD9Wox+5f7a/4JHwXu4tp6sYDP92g5xZHHm9rTh3GvzgTScBqk95BL92q55b9urzzSsOWSsX9tNRx/bZlomDcsPqV+j9Cv3t9RDCHaeaiFspF+3D3g6cm27nzQ05GCBfm3XvH+yvfbdZRoWHTLdr20rLpqGbSuu/yH1a5R+5QEO+nKRpnyiD5aN9mvbPNBemru2NJeGbfNAe+n5h1ygX9vZwt3azS7TsOiQsX5tR2lbcZk0nGYsPKR+jdKvPMJBXS7zhNanWQgb6dd2avDIRe+O0tCQg3y/tuj6RddpWHXIVL9+Nx1kqZWlmTQ0pH6N0q88xKL3cG2dKtgfr6pgM+tff+Pz50+fjpdVO/rj09CQg3i/ttb6ycu98x2mYdkhU/36cTrIUitLM2loSP0apV95jP2AXWIJ7ORUwa5pGUGoX0/qZ2npGXWGjPdrO9rwVcdpOA1WcMhUvy58Z1QmDQ2pX6P0K4+x+D1czfoXwi7dr+cWdF5j0TSsM2S6X3fXvHtOw7pDhvu1beUl07Bt5fU/pH6N0q88yHIfJPvK9ytfCLt0v7aDH13QeY1F03CascKQ4X7dPvBp83W3aVh4yFS/toO0rbxIGk4zVh5Sv0bpVx7lICuXTclVLyNYuF+3D92fu7J00TQsNGS4X6dDjdHVbxpOY5UcMtSvBzcdffxyOof45cfcR/gn0tCQ+jVLv/Iwd7mHq1lxwS7br9s1m7OvzC+ZhpWGzPbr3jXvftOw8pChfv04HePjJrmmL5tUeCXS0JD6NUu/8jgHAdv2Leb0QtiF03muRft1e85w9o1RS6ZhqSGj/dquef/6tNVpGpYeMtSvLbU+fnfYXBuZG5ESaWhI/ZqlX3mce93DtbXOhbAL9uv2hqPAwtLl0rDYkMl+bZk1XfPuNQ1rD5nt1+MSJw6DaXhcjSH1a5R+5YHudg/X1hqXESzUr58/7c4YRspwkTQsOGSyXw+uefeahrWHDPVrO8YJgTZMpOE0zCklhtSvUfqVRzroybs05NcHixb2dFuwC/Try9nCSaIM42lYdMhgv7boate8O03D4kPepV8DHya1fBqWGFK/RulXHuogYO+zEHVtHyy7eL9+mL+sdGPZNCwzZK5fW2Rtr3n3mYbVh8z068d2jNHHcZ3md9/t75x9cjOQhobUr2H6lce650MIdk4VbJcfLLtAv+5d7x5kyjCehkWHzPVrO2nYtgY9pmH1IeP9un+TUXsW1MbcNsymYdkh9WuUfuXB2v+cR3e4h6tZ0ULYxfs18FjVjWXTsMyQsX59fc27yzQsP2SmX3c3Hb2+vP1yN1LbcatAGhpSv4bpVx7s3g8h2FrNB8veoV8jZw6XTsMiQ6b6tSXWyzXvHtPQkJl+bYc4sjpzl137ZxNvEEjDaY7aQ+rXKP3Kox105D3jcSUfLLtAv7bj7Zt/4jCdhtNcByoMmerXdpC2NeovDad5Kg8Z7de30bWXXW37Rrk0LD2kfo3SrzzcQUbe98ME1rCMYInzr5/Gs4Sf9+8+mn3nfPzUZs0hQ/3arnkfBFZ3aWjIUL9+993Hj18eja6XlZvzFpcG0tCQ+jVMv/J4D7mHq+m/YBfo1xefXy6Az73wnU7DF6WGzPRr+7io/Wve/aWhIVP9es7Hdvx55zYDaXhOlSH1a5R+pQP7AXvHJbCT3j9YdtF+3X8C1Mw2XC4NSw0Z6ddtX7XNprM0NORg+X7dLelsm7dZOA2rDKlfo/QrHXjUPVxbXS+EXbhff+NzO/rci/NLpmGhISP9euyad3dpaMjBHfp1e9pw1rX5pdOwyJD6NUq/0oODgHxENHa8jGDpfn05bzjv3OaiaVhnyES/Hr3m3VsaGnLjDv26Xbc56+b+pdOwyJD6NUq/0oWHB2y/Hyy7eL/ubqKfd+f8smlYZshAv7a6eh1dfaWhIUf6daJfuZ5+pQ+PvIer6fSDZZfv191177Z9m4XTsMqQgX49fs27szQ05OgO/XrumVAXWzoNiwypX6P0K504CNi27+56LNjl+3V32rBt3mbhNKwy5Px+bdH15qRhV2loyIl+baYZ9StX0K904tH3cDX9LYS9Q79u123OWlu6dBoWGXJ+v7Zvf9+s+pqZhtMEF3jyIfVrM82oX7mCfqUXBwH7wPOdvX2wrH6d6NcLtW9/n359xzTBBfTrbNOM+pUr6Fe68fh7uJq+FsLeoV+3yza7TsMiQ+rXQ/p1tvYD9Ots04z6tRf6lX4cZONjPzzgVMH++P4Fe8d+nXVv/73S8MmH1K+H9Ots7Qfo19mmGfVrL/QrHengIQQ7pwr27meGM/36+dOnDx9O3VbUy6V5Q+rX1/TrBTaf2v/x46nH6rcf8OhHUxlSv4bpV3rS/rc9etw9XE0nC2ET/fpOVvWRhobc0K+H9Ou7PrYjnKiu7cuPTUNDbujXKP1KT3q5h2urh4WwiX59Z1nmh/Zy27zN7DQ05Mb8fv3JKe24X7TNt4+FusbMNGwjvDWNWGbIRL++81j9L9vLbfM2s9PQkBv6NUq/0pWDYOwgYDtYRpDs1xPLMvtKw9pDzu/Xk7r6aIBTig2Z7NcTXdVenLWyNJeGtYfUr1H6lb4c9OKDl8BOHl2wkfWv7QjHu2rbZB/a9m1mp6EhN/TrRL9erh3h+GXv+Re9N2anoSE39GuUfqUzPd3D1ZxeCHuP+SL9ul2XefS04fak4e03zW/MT0NDDvTrRL9e7mxYRa7MB9LQkAP9GqVf6c1+wD78Hq6tkwW7/EnYSL9uTwweO2147rUrzE9DQw7060S/Xm532fvIacNtkc27Mh9IQ0MO9GuUfqU3nXyQ7GvXLyMInZyN9OvusveRK9vtlZlnNgNpaMiBfp3o1yu0QxxJq3NBdo35aWjIgX6N0q9056AUe7iHq7nyeVpfh9o706+7U4NvbpzfXvOeeWYzkYaG1K/69QbbU4Nvrnvvomvmmc1EGhpSv4bpV/rTa8Be98GyPw6dPM7060tcHWbXrsZOPRHqYoE0NKR+1a+3aMd4nV276Jq5sDSShobUr2H6lQ51eA/X1qmCffPBsps3Rto71K8vefVhr6+2dyPNumV+kkhDQ+rXaUb9epWXvPpy7/L29oaj2RfmM2loSP2apV/p0UHAtn29OFWwr2p1fFsiYEP9upddX3z6PIbXp92ZxEAZRtLQkPp1mlG/Xuclu4buGhvr40tzvbkYfr1EGhpSv2bpV3rU6T1czUULYac9gZPHqX7dz6435pdhJg0NqV8n+vU6e431xtx1pYNIGhpSv0bpV7rU2wfJvvL9yYLdzrp9w/yAjfXrmewKlGEoDcsPqV8n+vVKuzuP3ph/YjOVhuWH1K9R+pU+HQRifwH77jKCthE4eZzr15PZtbeM83ahNKw+pH6d6Ndr7V34PjBvxWYTSsPqQ+rXKP1Kpw76sK97uJpzBfvy2uyADfbr/l1GLxLnNQepNCw+pH6d6NfrHTtxGLgsv5FKw+JD6tco/UqvOn4IwdbphbDt/92Ye/I42q+/8flVd32Y+YEAL3JpWHpI/TrRrzf47nV3Ja7Kj3JpWHpI/RqlX+lV3/dwbZ08CftiZsBm+3Xw+VO7Xf5DrgsHwTQclB1ywX6NWioNo/ofMtuvg+8+ttvlv/wy1oWDYBoOyg6pX6P0K93q/B6urfcLdt7J43i/LiSbhgvpf0j9GlSwXxeSTcOF9D+kfo3Sr/TroAz7Ddjf/PpgqcMRswJWvwbp1xT9GqFfg/RrMfqVjh0EbJ9LYCcnF8JOZq1+0K9B+jVFv0bo1yD9Wox+pWcruIdr62zBzglY/RqkX1P0a4R+DdKvxehXurYfsN3ew9WcK9gZqx/0a5B+TdGvEfo1SL8Wo1/p2joeQrB1ZhnB7QGrX4P0a4p+jdCvQfq1GP1K3w6KsON7uJqTHyx7++oH/RqkX1P0a4R+DdKvxehXOreygD29jODWgNWvQfo1Rb9G6Ncg/VqMfqV3K7qHa3SqX29d/aBfg/Rrin6N0K9B+rUY/Ur31nQP1+DkCoIbZ9evQfo1Rb9G6Ncg/VqMfqV767qH6zfboEfctvpBvwbp1xT9GqFfg/RrMfqV/q3kg2QnJ0+/Dm6aXb8G6dcU/RqhX4P0azH6lRVY0z1cbcrjblm+q1+D9GuKfo3Qr0H6tRj9yhocBGzX93CdO/06aO+6hn4N0q8p+jVCvwbp12L0K6uwmocQtBFPuWH5rn4N0q8p+jVCvwbp12L0K6uwlnu4jp5+/fHo640b0lu/BunXFP0aoV+D9Gsx+pV1WMk9XPupOmr7Z9CvQfo1Rb9G6Ncg/VqMfmUl1nQPV5R+DdKvKfo1Qr8G6ddi9CtrsZ57uLL0a5B+TdGvEfo1SL8Wo19ZjbV9kGyIfg3Sryn6NUK/BunXYvQr67GyD5IN0a9B+jVFv0bo1yD9Wox+ZT1W9kGyIfo1SL+m6NcI/RqkX4vRr6xIyXu49GuQfk3RrxH6NUi/FqNfWZOKAatfg/Rrin6N0K9B+rUY/cqqFLyHS78G6dcU/RqhX4P0azH6lXWpdw+Xfg3Sryn6NUK/BunXYvQr61LvHi79GqRfU/RrhH4N0q/F6FdWZiUfJJujX4P0a4p+jdCvQfq1GP3K2lS7h0u/BunXFP0aoV+D9Gsx+pXVKfZBsvo1SL+m6NcI/RqkX4vRr6xPrYcQ6Ncg/ZqiXyP0a5B+LUa/sj617uHSr0H6NUW/RujXIP1ajH5lhUrdw6Vfg/Rrin6N0K9B+rUY/coaVbqHS78G6dcU/RqhX4P0azH6lVUqdA+Xfg3Sryn6NUK/BunXYvQr61TnHi79GqRfU/RrhH4N0q/F6FdWqv0zMHrqe7j0a5B+TdGvEfo1SL8Wo19ZqTIPIdCvQfo1Rb9G6Ncg/VqMfmWtqtzDpV+D9GuKfo3Qr0H6tRj9ymoVCVj9GqRfU/RrhH4N0q/F6FfWq8Y9XPo1SL+m6NcI/RqkX4vRr6zYfsA+7RJY/RqkX1P0a4R+DdKvxehXVqzEPVz6NUi/pujXCP0apF+L0a+sWYUPktWvQfo1Rb9G6Ncg/VqMfmXVCtzDpV+D9GuKfo3Qr0H6tRj9yro9/wfJ6tcg/ZqiXyP0a5B+LUa/snIHDyFo+56Kfg3Sryn6NUK/BunXYvQrK/f093Dp1yD9mqJfI/RrkH4tRr+yds9+D9df2/5oX3zxh/4HevYHDhP+ge3rbvU/5B86/qo3fut/qGd/8DDhH9y+7lb/Q/7W8Ve98Yf9KT37g4YJ/6D2dbf6H/IPG3/VG39t++edGfQrq/fk93D9qP3JAHgKP2r/vDODfmX9nvseLv0K8FT0a4B+5Qk89QfJ6leAp6JfA/Qrz6D9mzB6tnu4/un25/rii//Ef69nf9ow4Z/Wvu5W/0P+J8df9cZf9D/q2Z8xTPhntK+71f+Qf9H4q974c/+bPftThgn/lPZ1t/of8s8df9Ub/3T7550Z9CvP4JkfQuD5A0GeP5Di+QMRnj8Q5PkDxehXnsIT38OlX4P0a4p+jdCvQfq1GP3Kc3jegNWvQfo1Rb9G6Ncg/VqMfuVJPO09XPo1SL+m6NcI/RqkX4vRrzyL/YB9piWw+jVIv6bo1wj9GqRfi9GvPItnvYdLvwbp1xT9GqFfg/RrMfqVp/GkHySrX4P0a4p+jdCvQfq1GP3K83jOe7j0a5B+TdGvEfo1SL8Wo195Ik95D5d+DdKvKfo1Qr8G6ddi9CvP5CBg2761069B+jVFv0bo1yD9Wox+5Zk84z1c+jVIv6bo1wj9GqRfi9GvPJUnvIdLvwbp1xT9GqFfg/RrMfqV5/J893Dp1yD9mqJfI/RrkH4tRr/yZA4C9hnu4dKvQfo1Rb9G6Ncg/VqMfuXZPNtDCPRrkH5N0a8R+jVIvxajX3k67R+I0RPcw6Vfg/Rrin6N0K9B+rUY/crTebKHEOjXIP2aol8j9GuQfi1Gv/J8nuseLv0apF9T9GuEfg3Sr8XoV57QUwWsfg3Sryn6NUK/BunXYvQrz+iZ7uHSr0H6NUW/RujXIP1ajH7lKe0H7MqXwOrXIP2aol8j9GuQfi1Gv/KUnugeLv0apF9T9GuEfg3Sr8XoV57T83yQrH4N0q8p+jVCvwbp12L0K0/qae7h0q9B+jVFv0bo1yD9Wox+5Vk9yz1c+jVIv6bo1wj9GqRfi9GvPK2DgG37Vki/BunXFP0aoV+D9Gsx+pWn9ST3cOnXIP2aol8j9GuQfi1Gv/K8nuMeLv0apF9T9GuEfg3Sr8XoV57YU9zDpV+D9GuKfo3Qr0H6tRj9yjM7CNiV3sOlX4P0a4p+jdCvQfq1GP3KU3uChxDo1yD9mqJfI/RrkH4tRr/y3Nq/FqN13sOlX4P0a4p+jdCvQfq1GP3Kc1v/Qwj0a5B+TdGvEfo1SL8Wo195cqu/h0u/BunXFP0aoV+D9Gsx+pVnt/Z7uPRrkH5N0a8R+jVIvxajX3l6K7+HS78G6dcU/RqhX4P0azH6lee3H7DrWwKrX4P0a4p+jdCvQfq1GP3K81v3PVz6NUi/pujXCP0apF+L0a8UsOp7uPRrkH5N0a8R+jVIvxajX6lgzQGrX4P0a4p+jdCvQfq1GP1KCSu+h0u/BunXFP0aoV+D9Gsx+pUaDgK27VsH/RqkX1P0a4R+DdKvxehXaljvPVz6NUi/pujXCP0apF+L0a8UcRCwa1oCq1+D9GuKfo3Qr0H6tRj9ShVrvYdLvwbp1xT9GqFfg/RrMfqVMlb6QbL6NUi/pujXCP0apF+L0a/Usc6HEOjXIP2aol8j9GuQfi1Gv1JI+6djtJp7uPRrkH5N0a8R+jVIvxajXylklQ8h0K9B+jVFv0bo1yD9Wox+pZI13sMV79fPnz58GI/34dPntishm4Zlh1yyX38xHfgXbXOWxdKw1pD6NUi/FqNfKWWF93CF+/VTO1iTC69kGhYecsl+/cl04L7TsNaQwX792A50XHvTrVJpWHxI/RqlX6llffdwRfv1VXNtpOIwl4alh1ywX1t09Z2GxYYM9uuX7UDHtTfdKpWGxYfUr1H6lWL2A3YVS2CD/fp5utr9WqYNU2lYfMjl+rVd8+47DasNGezXdpwT2ptulUrDaZhT2ptu1f+Q+jVKv1LM6u7hyvXr53acNz60N8wSSsPqQy7Xr9uThl2nYbUh9eu+9qZb6ddi9CvVrO0erli/noyuTBtm0rD8kIv16y66ek7DckPm+vX8os1O0rD6kPo1Sr9SzsoCNtavL5e8P3zabH/eW8IZuPCdScPyQy7Vr7tr3j2nYb0h9eu+9q5b6ddi9Cv1rOserlS/7qJr7xThy4nE+W0YSUNDLtWv7aAb/abhNN+oyJC5fj1/01EnaVh9SP0apV8p6CBg275uhfp1F1iHfbVtsfkX5xNpaMil+vXlmnfHaVhwyFy/tsN81zbDQmk4zVh3SP0apV8paFX3cIX6dZtX4wXvPW33/HObiTQ05EL9+uvtmKNe07DikPF+bVtp2TRsW2n9D6lfo/QrFR0EbOdLYDP9uj1p+Obs4PaF1zV2tUAaGnKhft1bsjnoNA1LDhnr17Zo88u2mZZJw/JD6tco/UpJK7qHK9Ov25OGbXPP6VeuE0hDQy7Ur/vXvLtNw5JD6tcg/VqMfqWm9XyQbKZf2yGOLM7cnjace20+kIbTILWHXKJf2zXvbXv1mYY1h4z1a7vp6GPbTMukYfkh9WuUfqWo1TyEINKv2wc8Hbm23U8aGnKwQL+2a94/2V777jINiw6Z7te2FRdNw7YV1/+Q+jVKv1JV+3dk1PM9XNF+bZsH2ktz15bm0rBtHmgvPf+QC/RrO1u4W7vZZRoWHTLWr+0obSsuk4bTjIWH1K9R+pWq1nIPV6Rf26nBIxe9O0pDQw7y/dqi6xddp2HVIVP9+t10kKVWlmbS0JD6NUq/UtZK7uHKrH/9jc+fP306Xlbt6I9PQ0MO4v3aWusnL/fOd5iGZYdM9evH6SBLrSzNpKEh9WuUfqWuddzDFerXk/pZWnpGnSHj/dqONnzVcRpOgxUcMtWvC98ZlUlDQ+rXKP1KYau4h2vpfj23oPMai6ZhnSHT/bq75t1zGtYdMtyvbSsvmYZtK6//IfVrlH6lsv2A7fUerqX7tR386ILOayyahtOMFYYM9+v2gU+br7tNw8JDpvq1HaRt5UXScJqx8pD6NUq/UtkaPkh24X7dPnR/7srSRdOw0JDhfp0ONUZXv2k4jVVyyFC/Htx09PHL6Rzilx9zH+GfSEND6tcs/UppK7iHa9l+3a7ZnH1lfsk0rDRktl/3rnn3m4aVhwz168fpGB83yTV92aTCK5GGhtSvWfqV2voP2EX7dXvOcPaNUUumYakho/3arnn/+rTVaRqWHjLUry21Pn532FwbmRuREmloSP2apV8prvt7uBbs1+0NR4GFpculYbEhk/3aMmu65t1rGtYeMtuvxyVOHAbT8LgaQ+rXKP1KdQcB2/b1ZKF+/fxpd8YwUoaLpGHBIZP9enDNu9c0rD1kqF/bMU4ItGEiDadhTikxpH6N0q9U1/s9XAv068vZwkmiDONpWHTIYL+26GrXvDtNw+JD3qVfAx8mtXwalhhSv0bpV8rr/INkF+/XD/OXlW4sm4Zlhsz1a4us7TXvPtOw+pCZfv3YjjH6OK7T/O67/Z2zT24G0tCQ+jVMv0Lf93At0K9717sHmTKMp2HRIXP92k4atq1Bj2lYfch4v+7fZNSeBbUxtw2zaVh2SP0apV+h7w+SXbxfA49V3Vg2DcsMGevX19e8u0zD8kNm+nV309Hry9svdyO1HbcKpKEh9WuYfoW+H0Jwh36NnDlcOg2LDJnq15ZYL9e8e0xDQ2b6tR3iyOrMXXbtn028QSANpzlqD6lfo/Qr9H0P1wL92o63b/6Jw3QaTnMdqDBkql/bQdrWqL80nOapPGS0X99G1152te0b5dKw9JD6NUq/wqDje7iWOP/6aTxL+Hn/7qPZd87HT23WHDLUr+2a90FgdZeGhgz163ffffz45dHoelm5OW9xaSANDalfw/QrbPR7D9cC/fri88sF8LkXvtNp+KLUkJl+bR8XtX/Nu780NGSqX8/52I4/79xmIA3PqTKkfo3SrzDq9h6uRft1/wlQM9twuTQsNWSkX7d91TabztLQkIPl+3W3pLNt3mbhNKwypH6N0q8w6fUeroX79Tc+t6PPvTi/ZBoWGjLSr8eueXeXhoYc3KFft6cNZ12bXzoNiwypX6P0KzT7AdvRPVxL9+vLecN55zYXTcM6Qyb69eg1797S0JAbd+jX7brNWTf3L52GRYbUr1H6FZpOH0KweL/ubqKfd+f8smlYZshAv7a6eh1dfaWhIUf6daJfuZ5+ha0+7+Favl93173b9m0WTsMqQwb69fg1787S0JCjO/TruWdCXWzpNCwypH6N0q+w02XALt+vu9OGbfM2C6dhlSHn92uLrjcnDbtKQ0NO9GszzahfuYJ+hRc93sN1h37drtuctbZ06TQsMuT8fm3f/r5Z9TUzDacJLvDkQ+rXZppRv3IF/Qp7DgK27Xsw/TrRrxdq3/4+/fqOaYIL6NfZphn1K1fQr7Cnw3u47tCv22WbXadhkSH16yH9Olv7Afp1tmlG/doL/Qr7+vsg2Tv266x7+++Vhk8+pH49pF9naz9Av842zahfe6Ff4UB393Bl+vXzp08fPpy6raiXS/OG1K+v6dcLbD61/+PHU4/Vbz/g0Y+mMqR+DdOvcKi3D5JN9Os7WdVHGhpyQ78e0q/v+tiOcKK6ti8/Ng0NuaFfo/QrvNLZQwgS/frOsswP7eW2eZvZaWjIjfn9+pNT2nG/aJtvHwt1jZlp2EZ4axqxzJCJfn3nsfpftpfb5m1mp6EhN/RrlH6FVzq7hyvZryeWZfaVhrWHnN+vJ3X10QCnFBsy2a8nuqq9OGtlaS4Naw+pX6P0K7zW1z1ckfWv7QjHu2rbZB/a9m1mp6EhN/TrRL9erh3h+GXv+Re9N2anoSE39GuUfoU3urqHK9Kv23WZR08bbk8a3n7T/Mb8NDTkQL9O9OvlzoZV5Mp8IA0NOdCvUfoV3urpHq5Iv25PDB47bXjutSvMT0NDDvTrRL9ebnfZ+8hpw22RzbsyH0hDQw70a5R+hSM6uocr0q+7y95Hrmy3V2ae2QykoSEH+nWiX6/QDnEkrc4F2TXmp6EhB/o1Sr/CMe1fmdFj7+HK9Ovu1OCbG+e317xnntlMpKEh9at+vcH21OCb69676Jp5ZjORhobUr2H6FY7p5yEEmX59iavD7NrV2KknQl0skIaG1K/69RbtGK+zaxddMxeWRtLQkPo1TL/CUd3cwxXq15e8+rDXV9u7kWbdMj9JpKEh9es0o369yktefbl3eXt7w9HsC/OZNDSkfs3Sr3BcLwEb6te97Pri0+cxvD7tziQGyjCShobUr9OM+vU6L9k1dNfYWB9fmuvNxfDrJdLQkPo1S7/CCZ3cw5Xq1/3semN+GWbS0JD6daJfr7PXWG/MXVc6iKShIfVrlH6FU/YD9nFLYGP9eia7AmUYSsPyQ+rXiX690u7Oozfmn9hMpWH5IfVrlH6FU/q4hyvXryeza28Z5+1CaVh9SP060a/X2rvwfWDeis0mlIbVh9SvUfoVTurig2SD/bp/l9GLxHnNQSoNiw+pXyf69XrHThwGLstvpNKw+JD6NUq/wmk93MMV7dff+Pyquz7M/ECAF7k0LD2kfp3o1xt897q7ElflR7k0LD2kfo3Sr3BGBx8km+3XwedP7Xb5D7kuHATTcFB2yAX7NWqpNIzqf8hsvw6++9hul//yy1gXDoJpOCg7pH6N0q9wzuMfQhDv14Vk03Ah/Q+pX4MK9utCsmm4kP6H1K9R+hXOefw9XPo1SL+m6NcI/RqkX4vRr3DWw+/h0q9B+jVFv0bo1yD9Wox+hfMefQ+Xfg3Sryn6NUK/BunXYvQrvOPB93Dp1yD9mqJfI/RrkH4tRr/Cex57D5d+DdKvKfo1Qr8G6ddi9Cu8q/2TM7r7PVz6NUi/pujXCP0apF+L0a/wroc+hEC/BunXFP0aoV+D9Gsx+hXe98h7uPRrkH5N0a8R+jVIvxajX+ECDwxY/RqkX1P0a4R+DdKvxehXuMTj7uHSr0H6NUW/RujXIP1ajH6Fi+wH7F2XwOrXIP2aol8j9GuQfi1Gv8JFHnYPl34N0q8p+jVCvwbp12L0K1zmUR8kq1+D9GuKfo3Qr0H6tRj9Chd60D1c+jVIv6bo1wj9GqRfi9GvcKnHfJCsfg3Sryn6NUK/BunXYvQrXOzgIQRt3+L0a5B+TdGvEfo1SL8Wo1/hYg+5h0u/BunXFP0aoV+D9Gsx+hUu94h7uPRrkH5N0a8R+jVIvxajX+EKD7iHS78G6dcU/RqhX4P0azH6Fa5x/3u49GuQfk3RrxH6NUi/FqNf4Sp3/yBZ/RqkX1P0a4R+DdKvxehXuE7792d0j3u49GuQfk3RrxH6NUi/FqNf4Tr3fgiBfg3Sryn6NUK/BunXYvQrXOnO93Dp1yD9mqJfI/RrkH4tRr/Cte4bsPo1SL+m6NcI/RqkX4vRr3C1u97DpV+D9GuKfo3Qr0H6tRj9CtfbD9ill8Dq1yD9mqJfI/RrkH4tRr/C9e55D5d+DdKvKfo1Qr8G6ddi9Cvc4I4fJKtfg/Rrin6N0K9B+rUY/Qq3uN89XPo1SL+m6NcI/RqkX4vRr3CTu93DpV+D9GuKfo3Qr0H6tRj9Crc5CNi2bwn6NUi/pujXCP0apF+L0a9wm3vdw6Vfg/Rrin6N0K9B+rUY/Qo3utM9XPo1SL+m6NcI/RqkX4vRr3Cr+9zDpV+D9GuKfo3Qr0H6tRj9Cjc7CNil7uHSr0H6NUW/RujXIP1ajH6F293jIQT6NUi/pujXCP0apF+L0a8wQ/vHaLTQPVz6NUi/pujXCP0apF+L0a8wwx0eQqBfg/Rrin6N0K9B+rUY/QpzLH8Pl34N0q8p+jVCvwbp12L0K8yyeMDq1yD9mqJfI/RrkH4tRr/CPEvfw6Vfg/Rrin6N0K9B+rUY/Qoz7QfsAktg9WuQfk3RrxH6NUi/FqNfYaaF7+HSr0H6NUW/RujXIP1ajH6FuZb9INmXfv2H/pc9+0uHCf/S9nW3+h/yvzL+qjf+yf9dz/7qYcK/un3drf6H/CfHX/XGf+l/3rO/cJjwL2xfd6v/If+L4696Q78G6FeYbdF7uH7UjgvAU/hR++edGfQrzLfkPVz6FeCp6NcA/QoBBwHb9oXoV4Cnol8D9CsELHgPl34FeCr6NUC/QsJy93DpV4Cnol8D9CtELHYPl34FeCr6NUC/QsZBwAbv4dKvAE9FvwboVwhZ6CEE+hXgqejXAP0KKe1fplHuHi79CvBU9GuAfoWUZR5C8Je0A37xxW/5d/dsHLF93a3+h/wt44gbft2z9T+kX3dQ/0O+/Lr/kvbPOzPoV4hZ5B6ul8+P9YH4s/lA/BQfiB/x8oH4/8a/07N/dJjwH21fd6v/If+N8Ve94fNjA/Qr5CxxD5d+DdKvKfo1Qr8G6ddi9CsELXAPl34N0q8p+jVCvwbp12L0KyTtB2xmCax+DdKvKfo1Qr8G6ddi9Csk5e/h0q9B+jVFv0bo1yD9Wox+haj4PVz6NUi/pujXCP0apF+L0a+QlQ5Y/RqkX1P0a4R+DdKvxehXCAvfw6Vfg/Rrin6N0K9B+rUY/QppBwHb9t1Ovwbp1xT9GqFfg/RrMfoV0rL3cOnXIP2aol8j9GuQfi1Gv0LcQcDOXQKrX4P0a4p+jdCvQfq1GP0Kecl7uPRrkH5N0a8R+jVIvxajX2EBwQ+S1a9B+jVFv0bo1yD9Wox+hSXkHkKgX4P0a4p+jdCvQfq1GP0Ki2j/TI1m3cOlX4P0a4p+jdCvQfq1GP0Ki4g9hEC/BunXFP0aoV+D9Gsx+hWWkbqHS78G6dcU/RqhX4P0azH6FRYSuodLvwbp1xT9GqFfg/RrMfoVlpK5h0u/BunXFP0aoV+D9Gsx+hUWsx+wNy+B1a9B+jVFv0bo1yD9Wox+hcVE7uHSr0H6NUW/RujXIP1ajH6F5STu4dKvQfo1Rb9G6Ncg/VqMfoUFBQJWvwbp1xT9GqFfg/RrMfoVljT/Hi79GqRfU/RrhH4N0q/F6FdY1EHAtn1X0a9B+jVFv0bo1yD9Wox+hUXNvodLvwbp1xT9GqFfg/RrMfoVlnUQsDcsgdWvQfo1Rb9G6Ncg/VqMfoWFzbyHS78G6dcU/RqhX4P0azH6FZY274Nk9WuQfk3RrxH6NUi/FqNfYXGzHkKgX4P0a4p+jdCvQfq1GP0Ki5t1D5d+DdKvKfo1Qr8G6ddi9Cssb849XPo1SL+m6NcI/RqkX4vRr3AHM+7h0q9B+jVFv0bo1yD9Wox+hXu4/R4u/RqkX1P0a4R+DdKvxehXuIub7+HSr0H6NUW/RujXIP1ajH6F+9gP2Gvu4dKvQfo1Rb9G6Ncg/VqMfoX7OP0QgvNnY/VrkH5N0a8R+jVIvxajX+FOTt3D9fUX7Yvj9GuQfk3RrxH6NUi/FqNf4V6OB+yw9+wJWP0apF9T9GuEfg3Sr8XoV7ibY/dwbfbp13vRryn6NUK/BunXYvQr3M9BwG52fD/uOXs7l34N0q8p+jVCvwbp12L0K9zP63u42rZ+vRf9mqJfI/RrkH4tRr/CHR1+kOxuQWx79Sj9GqRfU/RrhH4N0q/F6Fe4p4N7uHbOLYDVr0H6NUW/RujXIP1ajH6FuzoasHtP03pDvwbp1xT9GqFfg/RrMfoV7uvgHq7m3AJY/RqkX1P0a4R+DdKvxehXuK+DJbBb7bVj9GuQfk3RrxH6NUi/FqNf4c6OBeyZBbBL9usvpgP/om3Oslga1hpSvwbV7Nef/+xn4xF/9vOf/6rtmi2ehjWH1K9R+hXu7cgS2Af160+mA/edhrWGDPbrx3ag49qbbpVKw+JDxvv151Nx7YTiMJuGZYfUr1H6Fe7tyAnYMwtgF+zXFl19p2GxIYP9+mU70HHtTbdKpWHxIcP9+vN2sH2ROEymYeEh9WuUfoU7O/YEgof0a7vm3XcaVhsy2K/tOCe0N90qlYbTMKe0N92q/yGj/fqrV2cMm5+3l+fIpWHpIfVrlH6F+zr+BNj24hHL9ev2pGHXaVhtSP26r73pVrX69VftSG/8rL1hhlga1h5Sv0bpV7irY4/PGpxeALtYv+6iq+c0LDdkrl/PL9rsJA2rDxns15PRlWjDVBoWH1K/RulXuKPvT+TrmU8wWKpfd9e8e07DekPq133tXbeq1K970TXdLP+rvSWcs1duhtKw+pD6NUq/wv0cffbr6PQC2KX6tR10o980nOYbFRky16/nbzrqJA2rD5nr13aYg0WaL93VdtwslIbTMIOiQ+rXKP0Kd3M6X88sgF2oX1+ueXechgWHzPVrO8x3bTMslIbTjHWHjPXr7oajgxOEu1OJc+88yqRh+SH1a5R+hTs6fvPWxskFsMv066+3Y456TcOKQ8b7tW2lZdOwbaX1P2SqX3d51ba3Tu2/ViQNDalfo/Qr3NWpgr1vv+4t2Rx0moYlh4z1a1u0+WXbTMukYfkhU/26PWn4Znnm9sL3vHWbmTQ0pH6N0q9wZ18fTdiTC2AX6df9a97dpmHJIfVrUJl+Pd1W29OGM6/NJ9LQkPo1S7/C3R0r2Lv2a7vmvW2vPtOw5pCxfm03HX1sm2mZNCw/ZKhf20nDY0932gZZ27xRIg0NqV+z9Cs8wtuCbS+8sUC/tmveP9le++4yDYsOme7XthUXTcO2Fdf/kKF+bcdoWwe2pw3nXPbOpOE0R+kh9WuUfoXHeF2wpxbALtCv7Wzhbu1ml2lYdMhYv7ajtK24TBpOMxYeMtOv7czg8YfrD/t/9rOfP/7SvCH1a5h+hUc5LNhTn2CQ79cWXb/oOg2rDpnq1++mgyy1sjSThobM9Gu76D3v7OVZgTQ0pH4N06/wOPsLYU8tgI33a2utn7zcO99hGpYdMtWvH6eDLLWyNJOGhsz063SE4ycNMwJpaEj9GqZf4ZG+fynYtue1eL+2ow1fdZyG02AFh0z168J3RmXS0JCRfj170TtjfhoacqBfo/QrPNi2YE8sgE336+6ad89pWHfIcL+2rbxkGratvP6HjPRru+g9c/XoWfPT0JAD/RqlX+HhpoK9T79uH/i0+brbNCw8ZKpf20HaVl4kDacZKw+Z7Ne2tYhYGratRfQ/pH6N0q/Qga9/fHIBbLhfp0ON0dVvGk5jlRwy1K8HNx19/HI6h/jlx9xH+CfS0JCZfm1HaFuLmJ+G04zFh9SvUfoVuvD113fp171r3v2mYeUhQ/36cTrGx01yTV82qfBKpKEhk/36smjz5z8bzyP+7Oe52+hTaVh8SP0apV+hb9F+bde8f33a6jQNSw8Z6teWWh+/O2yujcyNSIk0NGSkX9tz9Vt1/bxdA5+kwmt2GhpyQ79G6VfoW7JfW2ZN17x7TcPaQ2b79bjEicNgGh5XY8hEv7ab5sebjtrXezL3Is1OQ0Nu6Nco/Qp9S/brwTXvXtOw9pChfm3HOCHQhok0nIY5pcSQ4X49OGO4lThxmEzDwkPq1yj9Cn0L9muLrnbNu9M0LD7kXfo18GFSy6dhiSET/dpS6+e7D+h/LdCGs9PQkBv6NUq/Qt9y/doia3vNu880rD5kpl8/tmOMPo7rNL/7bn/n7JObgTQ0ZLZfT0VXog1jaVh7SP0apV+hb7l+bScN29agxzSsPmS8X/dvMmrPgtqY24bZNCw7ZLJf2//7xc/GhZq/2r/9aHYbxtKw9pD6NUq/Qt9i/fr6mneXaVh+yEy/7m46en15++VupLbjVoE0NGS0X5uXhz/9O796eaXtuVkqDZuqQ+rXKP0KfUv1a0usl2vePaahITP92g5xZHXmLrv2zybeIJCG0xy1h4z36+H5wd1L44nEGbJpWHZI/RqlX6FvqX5tB2lbo/7ScJqn8pDRfn0bXXvZ1bZvlEvD0kOm+/X15e3da/Oue2fTsO6Q+jVKv0LfQv3arnkfBFZ3aWjIUL9+993Hj18eja6XlZvzFpcG0tCQ8X5921bbF2ee20ymYeEh9WuUfoW+Zfq1fVzU/jXv/tLQkKl+PedjO/68c5uBNDynypDZfj2WVu2lmYtLg2lYeUj9GqVfoW+Rft32VdtsOktDQw6W79fdks62eZuF07DKkNl+bTsObD9Has5l72gath0HqgypX6P0K/Qt0q/Hrnl3l4aGHNyhX7enDWddm186DYsMGe3Xo1e2t88ynXPZO5mGpYfUr1H6FfqW6Nej17x7S0NDbtyhX7frNmfd3L90GhYZMtqvbfuV9uKcy97JNGzbr7QXn31I/RqlX6FvgX5tdfU6uvpKQ0OO9OtEv17sneraXvZum7dZOg2LDKlfo/Qr9C3Qr8eveXeWhoYc3aFfzz0T6mJLp2GRIZP9uve8/X3by96z1pbG0rD2kPo1Sr9C3+b3a4uuNycNu0pDQ070azPNqF/ftz0teGJdZh9paMgN/RqlX6Fv8/u1ffv7ZtXXzDScJrjAkw+pX5tpRv36PmnY6Ndi9Cv0Tb8e0q+ztR+gX2ebZnxwv26z6kR1bW87emwaGnJDv0bpV+ibfj2kX2drP0C/zjbNqF/fZ8gN/RqlX6Fv+vWQfp2t/QD9Ots044P7dZtVJ6prG2WPTUNDbujXKP0KfdOvh/TrBTaf2v/x46nH6rcf8OhHUxky26/v3DXfNm8TS8PaQ+rXKP0KfdOvh/Truz62I5yoru3Lj01DQ25E+nV721HbfOX8qxean4aGHOjXKP0KfZvfrz85pR33i7b59rFQ15iZhm2Et6YRywyZ6Nd3Hqv/ZXu5bd5mdhoaciPSr+eva7eHmp44p3ih+WloyIF+jdKv0Lf5/XpSVx8NcEqxIZP9eqKr2ouzVpbm0rD2kNF+Pb5ss7M0LD2kfo3Sr9A3/TrRr5drRzh+2Xv+Re+N2WloyI1Iv26XbR69sH0+yS41Pw0NOdCvUfoV+qZfJ/r1cmfDKnJlPpCGhhxk+nW7MPNYWbWThjMWbW4E0tCQ+jVMv0Lf9OtEv15ud9n7yGnDbZHNuzIfSENDDjL9ujtt+Hbd5vak4bwr84k0NKR+DdOv0Df9OtGvV2iHOJJW54LsGvPT0JCDUL9uTxu+bavMmc1IGhpSv2bpV+ibfp3o1ytsTw2+ue69i66ZZzYTaWjIWL/uThu+zq5tdM05abiRSEND6tcs/Qp9068T/XqNdozX2bWLrpkLSyNpaMhcv24vbr/Kq210zT2zmUlDQ+rXKP0KfdOvE/16jZe8+nLv8vb2hqPZF+YzaWjIWL++9NXeys1f7XbOu69/EElDQ+rXKP0KfdOvE/16lZfsGrprbKyPL8315mL49RJpaMhcv+5l1xc/H8Pr5y97Zl3zHmXSsPyQ+jVKv0Lf9OtEv15nr7HemLuudBBJQ0Pm+nU/u16ZX4apNKw+pH6N0q/QN/060a9X2t159Mb8E5upNCw/ZLBfT2ZXoAxjaVh8SP0apV+hb/p1ol+vtXfh+8C8FZtNKA2rD5ns192znw4lyjCXhrWH1K9R+hX6pl8n+vV6x04cBi7Lb6TSsPiQ0X59uXf+xc9ebkKaI5eGpYfUr1H6FfqmXyf69Qbfve6uxFX5US4NSw+Z7df9G+VHP5t9T38TTMPKQ+rXKP0KfVuwX6OWSsOo/ofM9uvgu4/tdvkvv4x14SCYhoOyQ6b7deiuX7Xb5X8W68JBNA3rDqlfo/Qr9E2/BhXs14Vk03Ah/Q+Z79dlhNNwGf0PqV+j9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Ntvb//gffHFb/mDe/Zbup9w0P+Qmwknv+UP6tn4N9m+7lb/Q+79uv89PRv/JtvX3ep/yJdf929v/7wzg36Fvv2o/YMHwFP4UfvnnRn0K/RNvwI8Ff0aoF+hb/oV4Kno1wD9Cn3759s/eF988Vf9T3r2Zw0T/lnt6271P+RfNf6qN/6C/2HP/vRhwj+9fd2t/of8C8Zf9cZf8z/t2Z89TPhnt6+71f+Qf834q97459s/78ygX6Fvnj8Q5PkDKZ4/EOH5A0GeP1CMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+6dcg/ZqiXyP0a5B+LUa/Qt/0a5B+TdGvEfo1SL8Wo1+hb/o1SL+m6NcI/RqkX4vRr9A3/RqkX1P0a4R+DdKvxehX6Jt+DdKvKfo1Qr8G6ddi9Cv0Tb8G6dcU/RqhX4P0azH6FfqmX4P0a4p+jdCvQfq1GP0KfdOvQfo1Rb9G6Ncg/VqMfoW+Ldmvv5gO/Iu2OctiaVhrSP0aVLNff/6zn41H/NnPf/6rtmu2eBrWHFK/RulX6NuS/fqT6cB9p2GtIYP9+rEd6Lj2plul0rD4kPF+/flUXDuhOMymYdkh9WuUfoW+LdivLbr6TsNiQwb79ct2oOPam26VSsPiQ4b79eftYPsicZhMw8JD6tco/Qp9W65f2zXvvtOw2pDBfm3HOaG96VapNJyGOaW96Vb9Dxnt11+9OmPY/Ly9PEcuDUsPqV+j9Cv0bbl+3Z407DoNqw2pX/e1N92qVr/+qh3pjZ+1N8wQS8PaQ+rXKP0KfVusX3fR1XMalhsy16/nF212kobVhwz268noSrRhKg2LD6lfo/Qr9G2pft1d8+45DesNqV/3tXfdqlK/7kXXdLP8r/aWcM5euRlKw+pD6tco/Qp9W6pf20E3+k3Dab5RkSFz/Xr+pqNO0rD6kLl+bYc5WKT50l1tx81CaTgNMyg6pH6N0q/Qt4X69eWad8dpWHDIXL+2w3zXNsNCaTjNWHfIWL/ubjg6OEG4O5U4986jTBqWH1K/RulX6Nsy/frr7ZijXtOw4pDxfm1badk0bFtp/Q+Z6tddXrXtrVP7rxVJQ0Pq1yj9Cn1bpF/3lmwOOk3DkkPG+rUt2vyybaZl0rD8kKl+3Z40fLM8c3vhe966zUwaGlK/RulX6Nsi/bp/zbvbNCw5pH4NKtOvp9tqe9pw5rX5RBoaUr9m6Vfo2xL92q55b9urzzSsOWSsX9tNRx/bZlomDcsPGerXdtLw2NOdtkHWNm+USEND6tcs/Qp9W6Bf2zXvn2yvfXeZhkWHTPdr24qLpmHbiut/yFC/tmO0rQPb04ZzLntn0nCao/SQ+jVKv0LfFujXdrZwt3azyzQsOmSsX9tR2lZcJg2nGQsPmenXdmbw+MP1h/0/+9nPH39p3pD6NUy/Qt/y/dqi6xddp2HVIVP9+t10kKVWlmbS0JCZfm0XveedvTwrkIaG1K9h+hX6Fu/X1lo/ebl3vsM0LDtkql8/TgdZamVpJg0NmenX6QjHTxpmBNLQkPo1TL9C3+L92o42fNVxGk6DFRwy1a8L3xmVSUNDRvr17EXvjPlpaMiBfo3Sr9C3dL/urnn3nIZ1hwz3a9vKS6Zh28rrf8hIv7aL3jNXj541Pw0NOdCvUfoV+hbu1+0DnzZfd5uGhYdM9Ws7SNvKi6ThNGPlIZP92rYWEUvDtrWI/ofUr1H6FfoW7tfpUGN09ZuG01glhwz168FNRx+/nM4hfvkx9xH+iTQ0ZKZf2xHa1iLmp+E0Y/Eh9WuUfoW+Zft175p3v2lYechQv36cjvFxk1zTl00qvBJpaMhkv74s2vz5z8bziD/7ee42+lQaFh9Sv0bpV+hbtF/bNe9fn7Y6TcPSQ4b6taXWx+8Om2sjcyNSIg0NGenX9lz9Vl0/b9fAJ6nwmp2GhtzQr1H6FfqW7NeWWdM1717TsPaQ2X49LnHiMJiGx9UYMtGv7ab58aaj9vWezL1Is9PQkBv6NUq/Qt+S/XpwzbvXNKw9ZKhf2zFOCLRhIg2nYU4pMWS4Xw/OGG4lThwm07DwkPo1Sr9C34L92qKrXfPuNA2LD3mXfg18mNTyaVhiyES/ttT6+e4D+l8LtOHsNDTkhn6N0q/Qt1y/tsjaXvPuMw2rD5np14/tGKOP4zrN777b3zn75GYgDQ2Z7ddT0ZVow1ga1h5Sv0bpV+hbrl/bScO2NegxDasPGe/X/ZuM2rOgNua2YTYNyw6Z7Nf2/37xs3Gh5q/2bz+a3YaxNKw9pH6N0q/Qt1i/vr7m3WUalh8y06+7m45eX95+uRup7bhVIA0NGe3X5uXhT//Or15eaXtulkrDpuqQ+jVKv0LfUv3aEuvlmnePaWjITL+2QxxZnbnLrv2ziTcIpOE0R+0h4/16eH5w99J4InGGbBqWHVK/RulX6FuqX9tB2taovzSc5qk8ZLRf30bXXna17Rvl0rD0kOl+fX15e/favOve2TSsO6R+jdKv0LdQv7Zr3geB1V0aGjLUr9999/Hjl0ej62Xl5rzFpYE0NGS8X9+21fbFmec2k2lYeEj9GqVfoW+Zfm0fF7V/zbu/NDRkql/P+diOP+/cZiANz6kyZLZfj6VVe2nm4tJgGlYeUr9G6VfoW6Rft33VNpvO0tCQg+X7dbeks23eZuE0rDJktl/bjgPbz5Gac9k7moZtx4EqQ+rXKP0KfYv067Fr3t2loSEHd+jX7WnDWdfml07DIkNG+/Xole3ts0znXPZOpmHpIfVrlH6FviX69eg1797S0JAbd+jX7brNWTf3L52GRYaM9mvbfqW9OOeydzIN2/Yr7cVnH1K/RulX6FugX1tdvY6uvtLQkCP9OtGvF3unuraXvdvmbZZOwyJD6tco/Qp9C/Tr8WvenaWhIUd36Ndzz4S62NJpWGTIZL/uPW9/3/ay96y1pbE0rD2kfo3Sr9C3+f3aouvNScOu0tCQE/3aTDPq1/dtTwueWJfZRxoackO/RulX6Nv8fm3f/r5Z9TUzDacJLvDkQ+rXZppRv75PGjb6tRj9Cn3Tr4f062ztB+jX2aYZH9yv26w6UV3b244em4aG3NCvUfoV+qZfD+nX2doP0K+zTTPq1/cZckO/RulX6Jt+PaRfZ2s/QL/ONs344H7dZtWJ6tpG2WPT0JAb+jVKv0Lf9Osh/XqBzaf2f/x46rH67Qc8+tFUhsz26zt3zbfN28TSsPaQ+jVKv0Lf9Osh/fquj+0IJ6pr+/Jj09CQG5F+3d521DZfOf/qheanoSEH+jVKv0Lf5vfrT05px/2ibb59LNQ1ZqZhG+GtacQyQyb69Z3H6n/ZXm6bt5mdhobciPTr+eva7aGmJ84pXmh+GhpyoF+j9Cv0bX6/ntTVRwOcUmzIZL+e6Kr24qyVpbk0rD1ktF+PL9vsLA1LD6lfo/Qr9E2/TvTr5doRjl/2nn/Re2N2GhpyI9Kv22WbRy9sn0+yS81PQ0MO9GuUfoW+6deJfr3c2bCKXJkPpKEhB5l+3S7MPFZW7aThjEWbG4E0NKR+DdOv0Df9OtGvl9td9j5y2nBbZPOuzAfS0JCDTL/uThu+Xbe5PWk478p8Ig0NqV/D9Cv0Tb9O9OsV2iGOpNW5ILvG/DQ05CDUr9vThm/bKnNmM5KGhtSvWfoV+qZfJ/r1CttTg2+ue++ia+aZzUQaGjLWr7vThq+zaxtdc04abiTS0JD6NUu/Qt/060S/XqMd43V27aJr5sLSSBoaMtev24vbr/JqG11zz2xm0tCQ+jVKv0Lf9OtEv17jJa++3Lu8vb3haPaF+UwaGjLWry99tbdy81e7nfPu6x9E0tCQ+jVKv0Lf9OtEv17lJbuG7hob6+NLc725GH69RBoaMteve9n1xc/H8Pr5y55Z17xHmTQsP6R+jdKv0Df9OtGv19lrrDfmrisdRNLQkLl+3c+uV+aXYSoNqw+pX6P0K/RNv07065V2dx69Mf/EZioNyw8Z7NeT2RUow1gaFh9Sv0bpV+ibfp3o12vtXfg+MG/FZhNKw+pDJvt19+ynQ4kyzKVh7SH1a5R+hb7p14l+vd6xE4eBy/IbqTQsPmS0X1/unX/xs5ebkObIpWHpIfVrlH6FvunXiX69wXevuytxVX6US8PSQ2b7df9G+dHPZt/T3wTTsPKQ+jVKv0LfFuzXqKXSMKr/IbP9OvjuY7td/ssvY104CKbhoOyQ6X4duutX7Xb5n8W6cBBNw7pD6tco/Qp9069BBft1Idk0XEj/Q+b7dRnhNFxG/0Pq1yj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/QN/0apF9T9GuEfg3Sr8XoV+ibfg3Sryn6NUK/BunXYvQr9E2/BunXFP0aoV+D9Gsx+hX6pl+D9GuKfo3Qr0H6tRj9Cn3Tr0H6NUW/RujXIP1ajH6FvunXIP2aol8j9GuQfi1Gv0Lf9GuQfk3RrxH6NUi/FqNfoW/6NUi/pujXCP0apF+L0a/Qt3+9/YP3xRf/8P+qZ3/5MOFf3r7uVv9D/sPjr3rj7/if9ezPHyb889vX3ep/yL9j/FVv/OP/m579FcOEf0X7ulv9D/mPj7/qjX+9/fPODPoV+vaj9g8eAE/hR+2fd2bQr9A3/QrwVPRrgH6FvulXgKeiXwP0K/RNvwI8Ff0aoF+hb/oV4Kno1wD9Cn3TrwBPRb8G6Ffom34FeCr6NUC/Qt/0K8BT0a8B+hX6pl8Bnop+DdCv0Le/67ds/RH/4Z79IcOEf0j7ulv9D/lHjL/qDb/u2fy6U/y6I15+3X9X++edGfQrAABrol8BAFgT/QoAwJroVwAA1kS/AgCwJvoVAIA10a8AAKyJfgUAYE30KwAAa6JfAQBYE/0KAMCa6FcAANZEvwIAsCb6FQCANdGvAACsiX4FAGBN9CsAAGuiXwEAWBP9CgDAmuhXAADWRL8CALAm+hUAgDXRrwAArIl+BQBgTfQrAABrol8BAFgT/QoAwJroVwAA1kS/AgCwJvoVAIA10a8AAKyJfgUAYE30KwAAa6JfAQBYE/0KcJHvm6+bHzdfbHzd3gSPNP3X2P7LbP+hfv11+y+3vQeegX4FeNfXYxac9uP2Pm73tb6a7/v2H+RJ/pJ5EvoV4H3Tea2TnH6d72v/R0CA/1ApQr8CXKD9//9PaG/idl87N5hw/gSsfOVp6FeAC5ztAlkw39CvTsAGnDsB679Tnod+BbjEuSWw7S3cbvzrdQJ2vjP/nfq/D3gi+hXgIqfDwGmt+ca/XYEVMP4neZT/84Anol8BLnPyymx7ndu1/+NAYc138v/O8n9m8Uz0K8CFWge8pgvma9HlBOx8p1Zq+8+Up6JfAS6kDJayO2foBOxc35+4TOA/Up6LfgW4lEuzC9n9xToBO8+pevUXy7PRrwAXOxmwCnaOvb9WJ2BnOFmv/l55OvoV4HJnnq7p809vttevzhPe7Ey9+j+veDr6FeAKrQeO+lol3OTgrLb/K+A2py8NDPyHydPRrwBXOP/5nD8WCjc4SC8nYG9w7tTrwH+VPB/9CnCNs+e5BlrhWq/+Rp2AvdY79er/JOAZ6VeAq7wXsAr2Sq/+QtXWdd6rV/8XAU9JvwJc591eULDXePN/D8itK7xfr/5r5CnpV4ArtS7Y+PrE2VgPI7jYm79BJ2Avdqpe9/+zlK88Jf0KcKWXe7iGNvj+VMHqhosc+evT/pc58V/ejzd/f+1r+cqz0q8A19qFw6vNQx5GcIkjf3lOwF7g1KnXsV5f/lr9XfKk9CvA1Vod7AL1RME6+fWuo39zTsC+5516fblG4K+SJ6VfAa435UPb2FCwtzn69+ak4Xnv1utgeov//HhW+hXgBm/j4OsTUSEhzjiR/c4annFJvbYTsP7b42npV4AbbPLgdWV5GMHVTvyNOQF70slHDrTXd4b3yVeel34FuMXXx+rAwwiuc+KvywnYU071/pG/r+/9XwE8M/0KcJMTTXqqMBTsESf7VXodcdnCgZ0Tu+Ep6FeArFNRpmBfO5mvTsC+dWW9wnPTrwBpCvYyZ/rVCdhD6hUO6FeAPA8juMCZfHUC9oB6hVf0K8ASPIzgXWf71QnYnYsfOQB16FeAZXgYwcXa38yg7WDnxH9FTr1Sm34FWMyp9lCwh9rfy6DtYGLhABynXwEWdOoauYLd1/5SBm0HG+oVTtGvAItSsO9rfyWDtgP1CufoV4CFeRjBe9pfyKDtQL3COfoVYHEeRnBe++sYtB3VeeQAnKdfAe7AwwjOaX8Zg7ajtlO3/fm/dmBLvwLcx6kqUbD6dY+FA3AB/QpwL27lOqH9PQzajrLUK1xEvwLcj4I9qv0tDNqOotQrXEi/AtyThxEc0f4OBm1HSeoVLqZfAe7LwwjeaH8Dg7ajII8cgCvoV4B78zCCV9qff9B2lHPq5j6nXuEo/QrwAKd6pWbBtj/9oO2oxcIBuJZ+BXgIt3K9aH/0QdtRiXqF6+lXgAdRsFvtDz5oO+pQr3AL/QrwMB5GMGl/7EHbUYV6hdvoV4AHOvkwglIJ2/7Qg7ajBo8cgFvpV4CH8jCCov166hY+p17hffoV4NHKL4Rtf95B2/H0LByAWfQrwOMVL9j2px20HU9OvcJM+hWgB6ULtv1ZB23HU1OvMJt+BehD4YcRtD/poO14YuoVAvQrQC/KPoyg/TkHbcfT8sgBiNCvAP0o+jCC9qcctB1P6sRv16lXuJZ+BehKxYWw7Y84aDuekYUDkKNfATpTr2DbH3DQdjwf9QpJ+hWgO9UKtv3xBm3Hs1GvkKVfATpU62EE7Q83aDuei3qFNP0K0KVKDyNof7RB2/FMPHIA8vQrQKfqPIyg/cEGbcfzOPE7dOoVZtGvAP0qshC2/akGbceTsHAAFqJfAXpWomDbn2nQdjwF9QqL0a8AfStQsO1PNGg7noB6hQXpV4DePf3DCNqfZ9B2rJ56hUXpV4D+PfnDCNqfZtB2rJxHDsDC9CvAGjz1wwjan2XQdqzaid+UU6+Qo18BVuJ5F8K2P8ig7VgvCwfgHvQrwGo8a8G2P8ag7Vgr9Qr3oV8BVuQ5C7b9IQZtxzqpV7gX/QqwKs/4MIL2Rxi0HWukXuF+9CvAyjzfwwjaH2DQdqyPRw7APelXgNV5tocRtPEHbcfanPh9OPUKC9GvAGv0VAth2+yDtmNVLByAu9OvAOv0RAXbJh+0HSuiXuEB9CvAWj1Nwba5B23HaqhXeAj9CrBeT/Iwgjb1oO1YCfUKD6JfAdbsKR5G0GYetB2r4JED8DD6FWDdnuBhBG3iQduxAif+1p16hXvQrwCrt/aFsG3cQdvROwsH4LH0K8ATWHfBtmEHbUff1Cs8mn4FeAprLtg26qDt6Jl6hcfTrwBPYr0PI2iDDtqOfqlX6IF+BXgaa30YQRtz0Hb0yiMHoA/6FeCJrPNhBG3IQdvRpxN/t069wt3pV4DnssKFsG3CQdvRIQsHoCP6FeDZrK5g23yDtqM76hW6ol8Bns/KCrZNN2g7OqNeoTP6FeAZrephBG22QdvRFfUK3dGvAM9pRQ8jaJMN2o6OeOQAdEi/Ajyr1TyMoM01aDu6ceJv0KlXeCz9CvDE1rEQtg01aDv6YOEA9Eq/Ajy1NRRsG2nQdvRAvUK/9CvAk+u/YNtAg7bj8dQr9Ey/Ajy93h9G0MYZtB2Ppl6hb/oVoIC+H0bQhhm0HY/lkQPQO/0KUELPDyNoowzajkc68ffk1Ct0RL8CVNHtQtg2x6DteBgLB2AV9CtAHZ0WbJti0HY8iHqFldCvAJV0WbBthkHb8RDqFVZDvwLU0uHDCNoEg7bjAdQrrIh+Baimu4cRtJ8/aDvuziMHYFX0K0A9nT2MoP30QdtxZyf+Npx6hV7pV4CSeloI2370oO24JwsHYH30K0BR/RRs+8GDtuN+1CuskX4FKKuXgm0/dtB23It6hXXSrwCF9fEwgvZDB23HfahXWCv9ClBaDw8jaD9y0Hbcg0cOwHrpV4DiHv8wgvYDB23H8k78mZ16hVXQrwA8eCFs+2mDtmNhFg7AyulXAB5csO1nDdqORalXWD39CsDGAwu2/aRB27Eg9QpPQL8CMHlYwbafM2g7FqNe4SnoVwC2HvQwgvZTBm3HQjxyAJ6EfgXgxUMKtv2MQduxiBN/MqdeYX30KwAH7r+MoP2AQduRZ+EAPBP9CsAr9y7YdvhB25GmXuG56FcA3rhvwbaDD9qOLPUKz0a/AnDEPQu2HXrQdiSpV3g++hWAo+53K1c78KDtyPHIAXhG+hWAE+5VsO2wg7Yj5cT8Tr3CyulXAE67yzKCdsxB2xFh4QA8Lf0KwDl3KNh2xEHbEaBe4YnpVwDOW7xg2/EGbcds6hWemn4F4D0LF2w72qDtmEm9wpPTrwC8b9FbudqxBm3HLB45AE9PvwJwiQULth1p0HbMcGJKp17hmehXAC601DKCdphB23ErCwegBv0KwMWWKdh2kEHbcRv1ClXoVwCusETBtkMM2o5bqFeoQ78CcJV8wbYDDNqO66lXqES/AnCl9K1c7dsHbce1PHIAatGvAFwtW7Dtmwdtx3VOzOLUKzwt/QrALYLLCNp3DtqOK1g4AAXpVwBuEyvY9n2DtuNi6hVK0q8A3CpUsO27Bm3HhdQrFKVfAbhdpGDb9wzajouoVyhLvwIwR+BWrvYdg7bjAh45AIXpVwDmmV2w7f2DtuNdJ36iU69Qg34FYLZ5ywjamwdtx3kWDkB1+hWAgDkF2946aDvOUa+AfgUg4vaCbW8ctB2nqVdAvwIQc2vBtrcN2o5T1CuwoV8BiLntVq72pkHbcZxHDgAT/QpA0C0F294yaDuOOXFcp16hIP0KQNbVywja64O24w0LB4A9+hWAtCsLtr06aDteUa/AAf0KQN5VBdteG7QdB9Qr8Ip+BWAJVxRse2XQduxRr8Ab+hWAZVx8K1fbP2g7djxyADhCvwKwlAsLtu0dtB3Nie926hWq068ALOiSZQRt16Dt2LBwADhFvwKwqPcLtu0YtB3qFThHvwKwsPcKtm0O2g71CpyjXwFY3PmCbRuDcVO9AufpVwDu4NytXO3LwfBGjxwA3qNfAbiL0wXbvhh45ABwAf0KwL2cWkbwDvUKHNCvANzPDQWrXoFX9CsA93RlwapX4A39CsB9XVGw6hU4Qr8CcG+nbuV6xSMHgKP0KwD3937BOvUKnKJfAXiIswWrXoHT9CsAD3KyYNUrcI5+BeBh9gr2t7f/V70C79GvADzQtmB//P3ui/YKwAn6FYCHmm7l+vo3fzz9PwDv0a8APNimYH/zN7936hW4jH4F4PE25apegcvoVwAA1kS/AgCwJvoVAIA10a8AAKyJfgUAYE30KwDw/2/vzo4b1xEAitZ07o5EWSiBl9ZIALhjIy23ia5zPqaKIjbJP3douR+MRL8CADAS/QoAwEj0KwAAI9GvAACMRL8CADAS/QoAwEj0KwAAI9GvAACMRL8CADAS/QoAwEj0KwAAI9GvAACMRL8CADAS/QoAwEj0KwAAI9GvAACMRL8CADAS/QoAwEj0KwAAI9GvAACMRL8CADAS/QoAwEj0KwAAI9GvAACMRL8C8C2Pr68/b1+PZ3ql1yPMOzvr6rSP+M29gYl+BeC6Z2zXybmE1a/AJfoVgMu29fr2daLt9CtwiX4F4KJniLm9/rjTr8Al+hWAa/L5+ufPV7rfpF+BS/QrAJfM+fr1CJfP2HYvvQGrX4FL9CsAV0z5uo7VqWA7+06/ApfoVwCuSH+6FZ69zqao7Qs8/Qpcol8BuCCbr3PA9n2DQL8Cl+hXAC4IHZfp1BSwXYWnX4FL9CsA56XHr+lqLd7ZP5fN0q/AJfoVgPNCxmUrNT2ATVdV+hW4RL8CcFrMuHykxls9iadfgUv0KwCnxS8J5P9Kq/8LBPoVuES/AnBaqLjCdwT0K/DD9CsAH6VfgR+mXwHG83ikX+A/blhS3+nXx1ecXX1nrYZ8pk/nz9epz+c5faq1eWf7NS55y58TDEy/AgwgVtD6Yna7NIrH6jnVLganfJyU3lm1IZ/x7uKr6/M5THs1Z7q1Udz7OR1+dW9+7a3rGEAX/QowgBBCMah2kffS86jz70khmK6qNjF4CMi3bPQVG/JVjOHWTrtgs9OW/8OwUtp7XmF1a/eO+kIa6KBfAQYQAujdqflAi4Pa0vi2NP6KuEDXkVYxuHlUuZKLvmK/lhZpnKZQr2+HiYW9c/l6PEzmyMAV+hVgAFP+lCovDWtJw9vS+AvSCbueCS8xWArPl2P0lfq10qG1dKzsfezn/N7TzuvRuWW7/48GUKVfAe4v9tFzbqL090DLlzY7wyiNbkvjz0sn7DvPHINz601vbP111H0slvp1mfJI35yd/5DrpRTUq+h9TTvO2+2T3Xv+saTrt7Ru+Bbt6Z8TUKdfAe4v9k/qpM0fFk351fW888f7NfdHTBVTDKZZ27+YKkdftiGXBt5+FPPL+XSc8/XwoDU/Mbf3NHIzML44vzTt0/fBAHX6FeD+YjXFJNqV6pSM6bIuDu2Qxp+zJF9npaUYTNMOCV6q4Wy/TmOPmVpYJZjzNXMzu31m72nY9vzhpfVhwrDcGYDT9CvA/U2J9CqiQwGlBDvUX04c2iGN71f5lXvZOsuP3fkSB+wXzPVr7flmfpW3aVbhw5ve0mriYe9CAYdx2/f0Wi13OuA8/Qpwf3Mb5iovFVS6+g1TICbdlbaal83XQpYeGrKer8vddLlIn2vxwGni6nD7vael92uElXdZnPu3FIAr9CvA/YVCeslXXrz3i3G06ddCieYs84pPj48Fme3XRojmVnlJ+1c+uTix3K+lfI0HqiwMfId+Bbi/kEgv6XInNlXXFwh+xtKhLyf+e2DzvErzpkJcL7pryJe0UHnntMr2M8osffAeU957ytfj+fUr/CT9CnB7UyYVEjXevku/njjJNK+Sr/Oj1XT1duzX8EJ137jKdqP4WuO0j+39zd7paLnzh1u/+COBf5t+Bbi91HnFzKvf/Xm7fu1+8DjNqw5P8b5qwUO/pnXSVV4csi7KtHC66rTeu5Kv8d4v/kjg36ZfAW4v9VnxcV64+6ux9Hw+H1ONvvUFbJrROPmhTtcNGYTrxp5x0nqrmJ99J52t9p7yNbvC4YzAB+lXgNuLpVTOvMbtv2b1X83qKrc0vDV2P2rfhn0PUveD4qyzn9q8d9q0dPp0u/XWgEv0K8DtxX4tf5sy3L5Bv740sm4rxmDz4HHY8vb3/bq/zmut0mea1XyfjdvAd+hXgNuL/ZouMsLte/Tr8mv1dFmzT8qC/ZPSfXmGy/Z+YdSySutDzUt7tzN9GtF8d8B5+hXg9mIJpYuMcPs2oZQCtuM8vY9Aw7Dl/X+nX5dh4ep09Me9p0avTZ/HeAQLH6dfAW4vdlC6yAj37/OgL5Vbu9tiDKaLirjgvN6uX+OTzvbbj6uki+5ZO3HvpF6/U8AqWPg4/Qpwd63UuphiPyb96rx9oN5+3QXrxX7dTvtAv7Ye3s4Be6OfDfwb9CvA3e167SCmWM9DvjCwRxp/UYq8dFUWxnX8Cn/3AdQvi7bjemftxGlB746BgoVP0q8AdxczKF1ktO4vwsAeafxVcZFm4IWD/8P9+t9zeQTrSwTwQfoV4O5CBFUyLzZVuqgKA3uk8VfFEzWfOYZhw/Zr1zPV9F2Kt9N7ASX6FeDuWv0aH/Kli6owsEcaf1Xnl0tjDKaLil1r1i+LtuN6Z+3EaUlHeq9ndA0HOuhXgLsL8VOJwVbfLsJKPdL4y8IizSPFtEsXFbvWzF62H4Zup/XO2knTwv/2Fuk0WsDCp+hXgLsL7VMprXB/3H5tPwPdPWDeTfvOvz9wuijTItPXAvrmz1+DPZ3LQJZ+Bbi52EqVygv375VG4Ugf69cwrNivnZvtVwlXV/t1/l5r5wLT8PZ7BTroV4Cba1VebKNx+7V98jBsWW3/gfR9/zd+TMsq4fL0g+Z576lIO5M0DfcAFj5CvwLcXEymdJHR6tvPCxtW0y8M6OzXZkPGYUv67d9w7NdWGu5X6Zu1t+w9fyngVMCmK+Bb9CvAzbUeL8akShd/RTxRpds6HwnHkzcDMI5KFy/7fo3XrVoOg07P2lvvfS5g96cGrtOvADcXMqnSWa2+/byYYpU8jQPSRVkc1mrIOGo16FCC4bqx3fH5Z3zh5APYzd6nAraz6YEO+hXg5kL3tPr17HPEb2n+LrzzSKlfG/0Xx6zC79Cvh8LNCEM2+ZjqM1112u49BWzXpx9G6lf4BP0KcHOt7gn3/2q/phgsZmeMvHaqTf1abchjZh76tXWel1xyx5can9xje3+395mADWP1K3yCfgW4uRBIrX79u10UK64YbbHq0kXF3K+V/EvhuX5/x35NC6WrjLTKtnBTfNay9z3x67jT8kpauCdg9St8jH4FuLdYSJXICvf/cheFPUuHil3YUXRzv5YHpz7c3D/2a3PLcPtwvx2wcfvVvMPe/QEbhulX+AT9CnBvsZjSRUazb39CKs/sruleuqpJI98K+TfVYbqMDg2Zz9zF9E9d7Y87rV788I7bH/eexuz23jy1fYsz0wXwLfoV4N5a3fM7XRQ2zZZfPE/Xg8Y4tPLsNK212ya+mntt+7v+STlTC+05Sdm7npjZe1pk8+pr6m67MKSwEXCOfgW4txBRle6JRZUu/ppiE6bm6wq1FIOpPQ9L5frxLdOQy9hjN6fls0U9zcp1b7ZLq3svL4dhm1FxjK8PwEfoV4B7C+FTycHW/R8yVeG2/OZX03XdFIOp/3YROVXhvhbzDTkP/9o24nSiwpHmTXbTlnrdblTfe3o9TV7eUPoGw9//McG/Sb8C3FsrfEIZ/UIYzeX35/EMnfZ8LDEYRjTNMThPTEv991jWOsRioSFXB/p6xAM9H3O9Fo+0dOo0bTtvt09j73Rjnh7fz/xmDvOAS/QrwL2F8Kn83jnc/40He6vG2+k9zRKD5bUyzVdoyNoilXKc/rgrb//FgtLe0yLpreePUj4EcIp+Bbi1+Hyw1a+/8r3K1aPLje7DrGKwtFYuhUsNWU7R3NdbF5WAPbyV4t5TsaYD597Pr/yQ4J+kXwFurRhMSbNvf9IUbWsnHgVv3lt2rez7rnwkuUVqn15SKNjMp1reeyrWKWAPazZPAfTSrwC3FoMpXWRUYu4vmP7tgNmpkN6dfb9W6alp9S2vvjgbpS+1NhymFeZV9t4F7O6zOZH1QIt+BeA7ntPfWn3t/4T/vPVaXdmZ9VrkyirztD9fj2/svpb+pO0Dnwywpl8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAkehXAABGol8BABiJfgUAYCT6FQCAgfz3v/8Db4rgVmXrslwAAAAASUVORK5CYII=\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55260,"title":"Create block matrix of integers (j+k-1) - Part II","description":"Given m, n, p, and q, create an m-by-n matrix made up of submatrices, each sized p-by-q (if possible - the last row and column of blocks may be smaller). The elements of the (j,k)th block all have the same value: (j+k-1).\r\nFor example, if m = 4, n = 7, p = 2, and q = 3, the matrix is:\r\n\r\nYou can assume m, n, p, and q are all positive integers. (They can have the value 1, however.) As in the illustration above, m may or may not be divisible by p, and n may or may not be divisible by q. It is even possible for m \u003c p or n \u003c q. The resulting matrix will always be m-by-n.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 412.5px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 206.25px; transform-origin: 407px 206.25px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 374.5px 8px; transform-origin: 374.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven m, n, p, and q, create an m-by-n matrix made up of submatrices, each sized p-by-q (if possible - the last row and column of blocks may be smaller). The elements of the (j,k)th block all have the same value: (j+k-1).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 183.5px 8px; transform-origin: 183.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example, if m = 4, n = 7, p = 2, and q = 3, the matrix 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\" alt=\"A 4-by-7 matrix with each 2-by-3 block shaded a different color. The overall dimensions (m = 4, n = 7) of the matrix are noted. The 2-by-3 (p-by-q) size of each block is also noted.\" data-image-state=\"image-loaded\" width=\"454\" height=\"254\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 363px 8px; transform-origin: 363px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYou can assume m, n, p, and q are all positive integers. (They can have the value 1, however.) As in the illustration above, m may or may not be divisible by p, and n may or may not be divisible by q. It is even possible for m \u0026lt; p or n \u0026lt; q. The resulting matrix will always be m-by-n.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function A = blockjplusk2(m,n,p,q)\r\nA = m+n+p+q;\r\nend","test_suite":" %%\r\n A = blockjplusk2(8,8,3,1);\r\n Asol = [1 2 3 4 5 6 7 8;1 2 3 4 5 6 7 8;1 2 3 4 5 6 7 8;2 3 4 5 6 7 8 9;2 3 4 5 6 7 8 9;2 3 4 5 6 7 8 9;3 4 5 6 7 8 9 10;3 4 5 6 7 8 9 10];\r\n assert(isequal(A,Asol))\r\n %%\r\n A = blockjplusk2(2,3,4,2);\r\n Asol = [1 1 2;1 1 2];\r\n assert(isequal(A,Asol))\r\n %%\r\n A = blockjplusk2(3,7,3,3);\r\n Asol = [1 1 1 2 2 2 3;1 1 1 2 2 2 3;1 1 1 2 2 2 3];\r\n assert(isequal(A,Asol))\r\n %%\r\n A = blockjplusk2(8,3,4,4);\r\n Asol = [1 1 1;1 1 1;1 1 1;1 1 1;2 2 2;2 2 2;2 2 2;2 2 2];\r\n assert(isequal(A,Asol))\r\n %%\r\n A = blockjplusk2(4,5,1,1);\r\n Asol = [1 2 3 4 5;2 3 4 5 6;3 4 5 6 7;4 5 6 7 8];\r\n assert(isequal(A,Asol))\r\n %%\r\n A = blockjplusk2(5,7,4,1);\r\n Asol = [1 2 3 4 5 6 7;1 2 3 4 5 6 7;1 2 3 4 5 6 7;1 2 3 4 5 6 7;2 3 4 5 6 7 8];\r\n assert(isequal(A,Asol))\r\n %%\r\n A = blockjplusk2(5,4,1,2);\r\n Asol = [1 1 2 2;2 2 3 3;3 3 4 4;4 4 5 5;5 5 6 6];\r\n assert(isequal(A,Asol))\r\n %%\r\n m = randi(8);\r\n n = randi(8);\r\n p = randi(4);\r\n q = randi(4);\r\n A = blockjplusk2(m,n,p,q);\r\n assert( isequal(size(A),[m,n]) \u0026\u0026 (A(1,1)==1) \u0026\u0026 isequal(A(end,end),ceil(n/q)+ceil(m/p)-1) )","published":true,"deleted":false,"likes_count":2,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2022-10-24T13:15:00.000Z","deleted_by":null,"deleted_at":null,"solvers_count":87,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T17:39:32.000Z","updated_at":"2022-10-24T13:15:00.000Z","published_at":"2022-10-24T13:15:00.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven m, n, p, and q, create an m-by-n matrix made up of submatrices, each sized p-by-q (if possible - the last row and column of blocks may be smaller). The elements of the (j,k)th block all have the same value: (j+k-1).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example, if m = 4, n = 7, p = 2, and q = 3, the matrix is:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"254\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"454\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"A 4-by-7 matrix with each 2-by-3 block shaded a different color. The overall dimensions (m = 4, n = 7) of the matrix are noted. The 2-by-3 (p-by-q) size of each block is also noted.\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou can assume m, n, p, and q are all positive integers. (They can have the value 1, however.) As in the illustration above, m may or may not be divisible by p, and n may or may not be divisible by q. It is even possible for m \u0026lt; p or n \u0026lt; q. The resulting matrix will always be 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hkFI/1p0Rh3crHfMrYTOVc0ZCgYx660cf9le1t/yvFSiTK2iiG3+1GbDJkKxrl6343AbVzWtVHBSH8aNMayi3LSaxm70iFDwTgXmocX+ubX88ptI4lbBFcx5Nxq2wwZCsZtApbj2dfy5ZtyvIxgpD/xxvin0/2Lsz7L2B9PtwbOrmfIUDCWUzzSZsbLixvleKHEnRDjGINyuONqhgwF41wYH5xjvppaDpcRjPQn3Rh3L6NudFnGdq9QblzPkJlgnGvOY6eYe1rdu8sEMudihqx4e7hMMM6F8WM5vjU/8kM5XkQw0p9sY7xXFwcdlrE//uU42Y7rGTITjPNd8+XwrvJY3Z7PwPLdKoacr5eWw7vKYxVDZoLxh/2nKJWxavuNYKQ/0ca4syY2J2R/Zeyqh8wEYznD41Xm4Gv9sQIbPschrnzITDCWMzx2wVQwcpmCjXF3q8hP/nH5RW9l7MqHjATj2JT2nmG+OlgOl6kvY6sYct6T2mrIaDA+9pbhn8pj5XARwUh/co2xvDnqaDhV+VVnZWw3cq5xyEgwzotf5fCeedPId+V4kfoytoohD0ffPOTydzzPBGOphY+dYd6XWg4XEYz0J9cYb1/Of7KJ2PLrzsrYtQ8ZCcb57aTL4T2Hq9qR6svYKoY8nN7zkOcOxm+/ffvxX75/NPz+aTl7OVxEMNKfBo1xegUvB52VsWsfMrPG+Bf/2+c3b960LGOBWwTXMeSXI4Y8fzDuZY2RyxRvjGPJGUxHnZaxqx0yE4wHHa5qR0rcInjIlQzZPBjLyas+llEw0p9wY5xfzLsuY1c85AmCMbLhs3XmXMmQrYNx3ntTdXLBSH+ijfH2xbzjMnbVQ7YPxnlhrO7t1uqX7w66liEbB+O7cu6qJUbBSIeCjfFnd05QTtpbGbvyIdsHY+D9Wgb1Gz4PupYhGwfj/I5wD98S5zkEI/3JNcZ7ykk7K2P3jCNe05Dtg7GcvfL0jcvYOOHg0odsGozbvuhjp7g4ucZ4TzlpZ2XsnnHEaxqyeTDOd+bVrd41LmNXM2TDYHw718XqUwtG+qMxDjTGlHldrPbsTcvY9QzZKBh/fDu/fepG7ZkFI/3RGAcaY8q8kbJuV0vmow73up4hWwRjOd9W9YkFI/3RGAcaY8j8iRYV96RPWt4JcUVDtg/GqjsYJ4KR/miMA40xY/tqXrfbc9Awc65pyAbBuP00/1HdZ/dPBCP90RgHGmPEd+XMlR9zuDGeqknmXNWQDYLxx3K+2Y1LqVwgjXGgMSaMBWpUf+pmGz6va8jmjXGjtjUKRvqjMQ40xoBty0mcuVUZu7IhGwTj7n7U4v335bFlBCP90RgHGmO921fzqk+sKBpt+Ly2IRsE46ePb8dTfbq9j/H16x/HhxYSjPRHYxxojNVuyllD522zr2UVQ2733QSGbBCMO+a3EPexU1wcjXGgMdaa77rLVLFGmbOKIW9zMTBk22DcefebmnVGwUh/NMaBxlgpXMXaLN9d4ZCNg/H2bcRrTi8Y6Y/GONAY66SrWJMNn9c4ZPNg3N7uX1EZBSP90RgHGmON280i4XMmM+c6h2wfjF/L6Ss+klEw0h+NcaAxVth5NU9VsfyGzysdsn0wbi+m/lCOn08w0h+NcaAxLvexnG4Qq2LxfS2rGHL7OVO5IU8QjPPW1OVvmioY6Y/GONAYF7tdFKv9rIo7spmziiFvt6PmhjxBMM6rjMvv2BCM9EdjHGiMS91uoqx/69Fd41XFVOZc75CCERbRGAca40K3VSwbOdENn1c85CmCsSwyCkYuicY40BgX2dkskloUm+XK2FUPecJgXL4tVTDSH41xoDEusfNqntvpWcQ2fF73kJlgfPvjpx9u9m47LefXGLkkGuNAY1ygVcsZpfa1XPmQkWAsJ9iXfE88/DTBSH80xoHG+HxjKozexKtYLHOufchIMB5eRJw/n/FrOX4+wUh/NMaBxvh8212U4R0tk7FE1WfOKobc3qeRHzIZjHsWEd+VR93HyCXRGAca47Ntd1E2iZzQhs9VDNkwFzPBON/C//gi4xyb78rx8wlG+qMxDjTG59q+lUybyMmUMUNmNt+UMzxaGecrqd4rlYuiMQ40xmfaLotF30lmR2LDpyFDwTiXwscq43yxevkSo2CkQxrjQGN8pnKKVlUss69lnHBwxUNmgnH7CRoPz/FDeaSiMApGOqQxDjTG59m+3XXdOuUBgcwxZCoYt5XxwYcubi+kLt96IxjpkcY40BifZVxb22gWOYHlO0MOQsG4zb97t2xsN/0uv4lxIBjpj8Y40Bif5XM5w2FV9+TVb/g05CAUjNvKeGed8d3tV6tOLhjpj8Y40BifpZzgCVUlqL6MjTM86cKHTAXjTjK+/2E804+/KccbdecWjPRHYxxojM+x3Uh5WFUZq97waciNWDDuJOND35fnLCQY6Y/GONAYn2Pn4/APqSpj1ftaVjHkzmf2H9JBYzyUjLVnFoz0R2McaIzPUX7/U6rKWHXmjCM87cKHDAbjvmSs2nczEoz0R2McaIzPUX7/U6rKWPXy3TjC0y58yGQwfvv2sWisP61gpEMa40BjfI7y+59SVcaqN3yOIzztwoeMBuO33366F40fEycVjHSoWWMMa1PGwvofMhGMp1C/4fME+h8yHIyDT1/fT+n4/lPojIKRDjVrjGFtylhY/0OuJRhjH47fUv9D5oOxAcFIfzTGII0xpXpfyyn0P6RghEU0xiCNMUUwRghGWERjDNIYU6wxRghGWERjDNIYUzIfjt9Y/0MKRlhEYwzSGFM0xgjBCItojEEaY4pdqRGCERbRGIM0xhSbbyIEIyyiMQZpjCmCMUIwwiIaY5DGmGKNMUIwwiIaY5DGmGJXaoRghEU0xiCNMUVjjBCMsIjGGKQxptiVGiEYYRGNMUhjTLH5JkIwwiIaY5DGmCIYIwQj1+vF11fTX6tXNy/Ll46nMQZpjCnWGCMEI1fqxcvyd6p49bU8cCSNMUhjTLErNUIwcpVe3JS/UTtevSgPHkVjDNIYUzTGCMHINXpR/j7d85zSqDEGaYwpdqVGCEau0CN1cfKqPOEIGmOQxphi802EYOT6lC03r1+/fDH+hfrm5fYrN+MTjqExBmmMKYIxQjBydea+eGcn6hyNR3dGjTFIY0yxxhghGLk28y0a9/4ufTN9+fWxO3A0xiCNMcWu1AjByJUp+24eNsN5Q045fIrGGKQxpmiMEYKRKzP9RXrsimnpjEcuM2qMQRpjil2pEYKR61Ju6y9Hd5XOWI6eoDEGaYwpNt9ECEauy8G/R9Py43FvD6cxBmmMKYIxQjByVQ6XwunR4zamaoxBGmOKNcYIwchVma6k7v1rNFXGcnCYxhikMabYlRohGLkq01+jcvDQlJtHXUvVGIM0xhSNMUIwck2eulY6bUx9bjBqjLU0xhS7UiMEIyczf/zhq5uXz//4w4wpGPf/6U89vkNjDNIYU2y+iRCMtDJdlpzfSObF/J5rxXM//jDj7kwPLQtGjbGWxpgiGCMEI63shtAUOPecoTY+sfdGYzwTjTHFGmOEYKSV2x2ej8bi4OboTwYuv+Fp5flLWWM8D40xxa7UCMFIK9NPbPjFVNMedWwylqc/rTx/KY3xPDTGFI0xQjDSyvgDe3X7gU7zpx/ufvzhsclYnv208vylnlqD3KExBmmMKXalRghGGinla9508/Luj26bjcclY3ny08rzl3rGSTTGII0xxeabCMFII9Ny3RyL5Ys7npWM5blPK89fqCyGlqPDNMYgjTFFMEYIRhr5Wn5kg/ufCTyZPxm4HB5Unvq08vyFprA+bresxhikMaZYY4wQjDRyu+Vm3xvNPO/zD0+gFMbjru5qjEEaY4pdqRGCkUbmS6UH3oCtBFE3P9RpnOMKo8aYpDGmaIwRgpFGyk/s4Ic4TeHZS2UsHffIjbIaY5DGmGJXaoRgpJHyEzuUi/OTysGZlf56ZGHUGJM0xhSbbyIEI23MW2sO/8SmknZsFjVVcvFwkO/QGIM0xhTBGCEYaePI/jU+6egwaulmHOX4v2EaY5DGmGKNMUIw0kYJxnK017TKWA7OqewVOnKBcaAxBmmMKXalRghG2jjyIun0tHJwRqUvPqO77gTjz/6sY3++mfB/Lwe9+tfdD/nPNxNOPv+Tjn3cTPif/ms56lT/Q/5+M+Hk0+9+/N3/Mfzzu78Z/vvdv+3g3x83/w7//EWZcCAY12JKvCcL2LQUeXxPa6SsiD7nmu68iApwXn9UXpXo3ZHXSKcrrufefVOu+z7rf3cJRqAPgnEtxh/XEYF37PNamnPxWcVVMAJ9EIxrMf64jmhg4/POG4xL+qJgBHohGFdiCptycMj4vCeDcXzWMcrzn2NRX7y7+eaP/89u//njn20m/Ne7X+rvnxUM+WebCSf/5ruOjRsyPpaDXvU/5D/ZTDj59O7Wj29//P7s/23/+V2ZcGDzzUocG4zT884ajGVD6nNb66ruY/yzctCr/od0u0aQt4SLcLvG+oybUo/Y5DldkHyyrI3POkZ5/jOUGxif/SYDq7qP8Z+Xg171P6Qb/IO8802EYFyfY4NxaoxP/ljHZx2jPP94z7+BsdAYgzTGlFU0RsEYIRjXZ+xhR6TNkTf4j886Rnn+0Zb2xZU1Ru98U0tjDBKMEYJxfcaf1hFxMz7vfMG4uC9qjFEaY8oqGqP3So0QjOsz/rSezpsj9960srwvWmOMssaYsorG6L1SIwTj6pRbIMrRftOV1HP9VCv6osYYpTGmaIwRgpEWyt3v5Wi/I5/WxpTKS/94a4xB1hhTNMYIwUgLpTE+dY30rFdSy4xL/06tqjH2Hoz9D6kxBmmMEYJxdUoZe+oi5fSs83y2xpyLS/90jTFIY0xZRWN0g3+EYFyd465STmt85ymMlX1RY4zSGFNW0RjdrhEhGFenbPc8XBmPXYhsobYvaoxRGmPKKhqjYIwQjKtTflwHg6dk01l+pNV9UWOM0hhTrDFGCEZaKD+u169vyhceKtm07F6JSvV9UWOM0hhT7EqNEIw0MAfPYF/w9ZCLVX+bNMYgjTFFY4wQjDQwrR6+HFcaH++MR25bbWP6syt3/WiMQRpjisYYIRhp4Ov4w3q593aMbaM8y8+z6g1vtjTGII0xRWOMEIw0ML/TW9l3+upr+frkxXbPas0a32I1b5C6Q2MM0hhTVtEY3ccYIRjXZsqeIfbmavjq1csxBF+8+Drf4lgfTcuUvnjQMRdZNcYgjTFlFY3R7RoRgnFtph/W5lelMz7mPDf2z231oGcGo8ZYS2NMWUVjFIwRgnFtph/W+MvtddN7Xp3nR3lMX9QYT05jTLHGGCEYyZtq4nyl9NFkPNMP8qi+qDGenMaYYldqhGAkb1pZvE2X22XFyctz/RiP64sa48lpjCkaY4RgJG8Kwt10+eblq6msvXp5tlQM0xiDNMYUjTFCMJI3361x0TTGII0xRWOMEIzkTcF4lpsUT0djDNIYU1bRGN3HGCEYV2a6aloOLpXGGKQxpqyiMbpdI0Iwrsz0syoHl0pjDNIYU1bRGAVjhGBcmfFHdZ73tTkdjTFIY0yxxhghGImb7ta4omDUGGtpjCl2pUYIRuLu38Z4mTTGII0xRWOMEIzEPbyN8RJpjEEaY4rGGCEYibuK2xg1xiSNMUVjjBCMxE13a1z4bYwaY5LGmLKKxug+xgjBuC7Tj6ocXCyNMUhjTFlFY3S7RoRgXJfpR1UOLpbGGKQxpqyiMQrGCMG4Ktdxt4bGmKQxplhjjBCMpE2fxnjpm1I1xiSNMcWu1AjBSNrX8Sd1TcGoMdbSGFM0xgjBCItojEEaY4rGGCEYYRGNMUhjTNEYIwQjLKIxBmmMKatojO5jjBCM9EdjDNIYU1bRGN2uESEY6Y/GGKQxpqyiMQrGCMFIfzTGII0xxRpjhGCERTTGII0xxa7UCMEIi2iMQRpjisYYIRhhEY0xSGNM0RgjBCMsojEGaYwpGmOEYIRFGjbGP9+c9M/LQa1WZezKhswH488/v3kznu/Nmy+fy9fqhTPnuy83H8Yhbz58+Vi+Vi98H+NPv7yZhnzz5vOX8rVK8WB89/br+/F0799/LF+qJhjpT7vGONan1z8rR7UalbFrGzIcjD/9Uk42exPKxmRj/O7+kB9C2Zi8XePhkIlsDAfj25tyssn7r+XrdQQj/WnXGH8ynrTzMnZtQ0aDcUyv+978vDxaJdcYxzPd9+a78miVXDA+OuSH+u9kNBjvxeJGpDYKRvrTrDGOl/96L2NXN2QyGKfrfg+9KY/XiDXGhy/mkw/l8Rqx9N73naweMhmMP5QT3fW+PFpBMNKfVo1xuvzXeRm7viGDwbjv1TySjKnMmZY/H3NTnlEhld77h6z9TgaDcVpafER14gpG+tOoMc6v5l2XsSscMheM+1/NE8kYypx9fXGjfshQeu//XxjVQ+aCcW8u1iejYKQ/bRrj9tW85zJ2jUPGgnHn1fzzd+Opvnwux4Pq0Mlkzk54PzJkdWfMpPfhIeuupsaC8W05y+DjeKZPt0l5Mz5jOcFIf5o0xttX847L2FUOmQrG2z2Uu6e5fUGvTcZI5nwcR9loM2QkvZt+J1PB+K6c5M5pttFYuc4oGOlPi8a482rebxm7ziFDwTjm1sb9QrOtP+V4qUTmjJtGN1oNmbiPse13MhWMcwbejcBtjfy+fGEZwUh/GjTGsoty0msZu9IhQ8E4d7GHdWZ+Pa9sY4nG+PSQlbs+E7drtB0yFIzbBCzHs6/ly3WVUTDSn3hj/NN/V0436bOMXe2QoWAsp3ikzWwbUDleKNEYxzEG5XBHaMhEMI5jDMrhjsSQoWCc9zA9OMfcJMvhMoKR/qQb4+7Fv40uy9j1DpkJxnld7LFTzI/VvQVOoDHOXezQkHXvLhNI78bfyUwwfl9O8fCNbuYqWfUWOIKR/mQb472SM+iwjF3zkJlgnLeklsO7ymN111IDmTNfiiyHd5XH6q6lBtK78XcyE4zzFdNHTlEqY9W1VMFIf6KNcWdNbHobsx7L2FUPmQnGcobHq8zB1/pjBTJnHKLpkIH0HodoN2QmGMsZHrtgKhi5TMHGuLtV5Cf/uPyitzJ25UNGgnHe7vn4e3nOdxqUw2XqM+cEQ9and+sho8H42PXST+WxcriIYKQ/uca4+2o+ZGz5VWdl7NqHjATjvPhVDu85/GJ/pPrMOW7IqjcTr0/v1t/JTDCWWvjYGeaF3HK4iGCkP7nG+LNymqHkbM5Uft1ZGbv2ISPBeLjJRIKxPnNOMGT9fYyth8wE47ffvv366f2j4acxcpkaNMap2tw5qJcuY1c6ZGaN8cvnL2/evGmZOYE1xqOGrPgmlJOcYMjzB+Ne1hi5TPHGOJacwXTUaRm72iEzwXjQ4cuDRwrsazkoMmQgGA+qH7J5MJaTu12DCxNujPOLeddl7IqHPEEwHrxN4liBxnhQZMjW6V0/ZOtgnD+jserkgpH+RBvj7Yt5x2XsqodsH4zz9b+z38d4yDzk2e9jPCQwZONg3PdWcc8jGOlPsDH+7E6ylpP2VsaufMj2wThf/zv7O98cMg959ne+OSTwnWwcjPNbxVVdSRWMdCjXGO8pJ+2sjN0zjnhNQ7YPxnL2ur03rTNnnHBQN2Tj9B4nHFQM2TQYt32x7j3EBSMdyjXGe8pJOytj94wjXtOQzYNxrjl1q3eNMyc0ZNv0TgzZMBjfzXWx+tSCkf5ojAONMWXMio26LtY2c7ZDVt3en/k8xr0i38lGwfju7bzrZqP2zIKR/miMA40xZd5IWbf1pnFjTA3Z9HaNyJAtgrGcb6v6xIKR/miMA40xZH7b69rC2LQxboes/Q60DMbMd7J9MNbtuxkJRvqjMQ40xoztslPdltRBw8aYG7JheoeGbBCM78r5JpX7bkaCkf5ojAONMWK+8a76GmXLzAkO2S69U0M2CMbtXtTi/bvywGKCkf5ojAONMWEMs1H9qZtlTnLIZukdG7J5Y9yobY2Ckf5ojAONMWDbcmo3e260ypzokK12peaGbBCM88f576gsjYKR/miMA42xXrKKNWuM2SHHAOt6yAbB+JtPb8dTfS0frDGqOrlgpD8a40BjrDbfXRCpYq0a43arZ2bINsGYHLJBMO6YP4zx9eub8pVFBCP90RgHGmOt27dByZy2yVXK9JBN0js6ZNtg/PbtdtiadUbBSH80xoHGWCncF9uUsfiQLa73ZodsHIzbDyp+/bpimVEw0h+NcaAx1rm9+pc6aYNgTPfFJo0x/J1sHozb2/0rKqNgpD8a40BjrDHmwyRUxRpkTosh49d740O2D8btOmM5XkAw0h+NcaAxVth5NY9lbfwqZZMh07U2P2T7YNxeTF3+3nCCkf5ojAONcbntpyMFq1jJiFzmtBkyHIwNhjxBMM6V8Tfl+PkEI/3RGAca42K3i2L1b7G2I9sYb5cXo0Nm07vFd/IEwTivMi5fZBSM9EdjHGiMS91uooxGTjZzWg0ZTe8m/wtDMMIiGuNAY1yoURXL7mtpNmQyvdsMeYpgLIuMgpFLojEONMZFxmCYhBYst3LLdw2HzKV3qyFPGIzLt6UKRvqjMQ40xiUaRk4uGK97yEwwvnv3w6eb1z+Uo/vK+TVGLonGONAYFxhjYRLc6VmMURHInKZDpoKx3ZCRYCwn2Jd8Tzz8NMFIfzTGgcb4fLct5028isX2tbQdMpTeDYeMBOPhRcT5g4s/lePnE4z0R2McaIzPt93q+aF8ISqUOW2HDKV3wyGTwbhnEXEOxn1XWp8mGOmPxjjQGJ9te3dBeKdnkQnG7VbPnods+Z2MBON8C//jnXD+Hi8/v2CkPxrjQGN8ru27tLSJnEwZaz1kZFdq0yEzm2/KGR6tjHNh9F6pXBSNcaAxPtPYlTYaRU6kjDUfMrH5pu2QmWA89Haoc2Fc/lapgpEOaYwDjfGZyinaLN1tJBrjOOGg2ZCJYBwnHLQZMhOM20/QePihiz+URyoKo2CkQxrjQGN8nu3lv7p1ygMCjfHjOOGg5yEbfyczwbithQ82pr4rD1TsSRWM9EhjHGiMz7K97y5/a+CsfvnuBEPW19rthdRGQ4aCcbuQeFO+UMzXWCtuYhwIRvqjMQ40xmfZ1pyDql7r669SbgvjQVVD1jfG1t/JUDDeJuDuXRk/3n616uSCkf5ojAON8VnKCZ5w5mAcZ3hS1ZD1tXac4UnnD8adZHz/9cfNF95uVxcHdecWjPRHYxxojM+xvf53WNWqWXUZO8WQ1endfMhYMO4k40OVpxaM9EdjHGiMz/G5nOAJVWWsevnuFENWB2PzIXPBeCAZvy/PWEow0h+NcaAxPkf5/U85b2McR3jahQ8ZDMZ9yVi172YkGOmPxjjQGJ+j/P6nnHf5bhzhaeetteMIT+uiMX777dvHorH+tIKRDmmMA43xOcrvf0pVGau+SjmO8DSN8Tk+3YvGT4mTCkY61KwxhrUpY2H9D5kIxlOo35V6ArlP8G8lHIyDr5/eT+n4/mPojIKRDjVrjGFtylhY/0OuJRiry9gp9J/e+WBsQDDSH40xSGNMiXy6RmuCMUIw0h+NMUhjTFlFY+x/SMEIi2iMQRpjSv/Ld4P+a61ghEU0xiCNMWUVm280xgjBSH80xiCNMcWu1AjBCItojEEaY4pdqRGCERbRGIM0xhS7UiMEIyyiMQZpjCl2pUYIRlhEYwzSGFPsSo0QjLCIxhikMabYlRohGGERjTFIY0yxKzVCMMIiGmOQxphiV2qEYIRFNMYgjTHFrtQIwQiLaIxBGmOKXakRghEW0RiDNMYUu1IjBCMsojEGaYwpdqVGCEZYRGMM0hhT7EqNEIywiMYYpDGm2JUaIRhhEY0xSGNMsSs1QjBeotdfyy9oR2MM0hhT7EqNEIwX6Ob1y/Ir2tEYgzTGFLtSIwTj5Xn5WjCegMYYpDGm2JUaIRgvzovh2yQY29MYgzTGFLtSIwTjxXk1fJsEY3saY5DGmGJXaoRgvDQ3m2+TYGxPYwzSGFPsSo0QjBfmm/HbJBjb0xiDNMYUu1IjBOOFmb5NgrE9jTFIY0yxKzVCMF6WzQLjQDC2pzEGaYwpdqVGCMaL8rV8mwRjexpjkMaYYldqhGC8JNMC40AwtqcxBmmMKXalRgjGSzLuSN0QjO1pjEEaY4pdqRGC8YKUBcaBYGxPYwzSGFPsSo0QjJdj85Y3hWBsT2MM0hhT7EqNEIyX47YwCsYT0BiDNMYUu1IjBOPF2C4wDgRjexpjkMaYYldqhGDc7+XN2MFefX1RvrDr5depoL189NEz2O5I3RCM7WmMQRpjil2pEYJxx9i5Xk2/Lrk3eXU//Ob7BUcPHj2LMsvL8f8TjO1pjEEaY4pdqRGCcceYhTebX73YjcWN8auz+w/effQ8ykybD2McCMb2NMYgjTHFrtQIwbhj/BM2mbK7XDfb1sIXjzxaauZT7hTNQ54dbOXM3wjGk9EYgzTGFLtSIwTjjvFPGDLlQSMclSdNyXPfcZ3x8d/7iK/lNxyrLDAO+SwYT0VjDNIYU+xKjRCMt6b7AL+Zbwd89XLzh33zYk6zqRXOdfHVmD3fbK+5HtUZjw7G5wbbNNVmBsF4KhpjkMaYYldqhGC8NWVK6Ys70fJNCb/NxdTyyz2PPqVVMJYRNt8cwXgqGmOQxphiV2qEYLw1ZcoYMvf6Xwme7VPKl4vto09qFIyl446/STCeisYYpDGm2JUaIRhvlYAbPPhTpodeTAn0IHXGrx5TGRsF4/R7prgWjKeiMQZpjCl2pUYIxlvbYHz4h0ybW16Nz9j36NnCqCx7TgeC8VR2gvGX/+wn/fr3mwn/fTnoVf9D/nIz4eTmzeDD5t/+/nnzl5sJ/1vHEw5j7QzZ44wbO7ce/O2r953aGbJlMJY/4tHqd9v1Hsuc6ZFycGpltPKdEYyncuethgDO5o/Kq1IL5Y94dH/p9pMrHn10SqNjtt/klcnmuQTjqQhGoA8Ng3HOvnJ41/ZVsBzfNT16nmC8t/VHMJ6KYAT60DAYyyXJPZkyPbjn0SlTzxKM27e8KQTjqQhGoA/tg7Ec3Tc9uOfR8wVjeXW+vcArGE9FMAJ9aBiMt+8e85jxwX2Pni8YHwwtGE9FMAJ9aBiM02LdvkgZH9z36PQaeYZgLAuMO3+yYDwVwQj0oXkwloP7ys6ccnTftNBXDk6oTLUbg4LxVAQj0IeGwTief9+V1OlVcN+jUxqVgxMa/9i7UwnGUxGMQB/OFYxTJ9yXN2cKxjtveVMIxlPZeeebV//pP/7Hbv8dr4Tc3Ptib//2P+Q/3Ew4efWf/0G//4zfyfc7X+jxn/6H/EebCSev/mOv/kOZcNDunW+mAnA4+vb96ePPeV+mNjPNdG8owXgqO8Hoc4hqeVfplHebCX9XDnrV/5A7b0P6V3/yq1/9qsv//u8y4aBdME6d8GD07e2ExwZjuenwaccEW1lgvPfHCsZTEYxBgjHl7WbCf1sOetX/kLvBOGRQn04SjFOilIMHDgfj+OARYVQ63tOO+QT/aaT7cSwYT0UwBgnGFI0xQjDODre+w49uHowG4xHnKguM978hgvFUBGOQYEzRGCN2gvHXUwp1qINgHP/wfY9Oy5NH3MYYDMayJ/LBEwXjqawlGH1AX8SqGmPvwagxRpwkGMfTL+uEh5cndwSDcXrew3kF46msJRhX8ZHu/Q+5qsbY+6VUa4wRpwvGfYFyzJbVcnBILhinBcan3JRn04DGGKQxpmiMEYKxmPZ47gukw53w6GCMOXJ7694CTD2NMUhjTNEYIwRjMYXbvnXCw9F3eHmygWPfdEUwNqQxBmmMKT9uJtQYawnG4ojo6ycYy47UJwnGhjTGII0xRWOMEIxFTfSNv/WE+12OXqoUjA1pjEEaY8r3mwl7b4xjrdUYa50sGA9HXzfBeMgUmp0Mc9HWEox/tZmw92Dsf0iNMUhjjOgkGPelzdG3MZ6CYDyVtQSjG/wjrDEGjbVWY6x1imAcz74vT47ZsloOzk0wnopgDBKMKRpjhGAsxrPvy5MpbZZtWT0xwXgq1hiDrDGmrKIxWmOMOEEwTp1w39kPR9/JN6UeIhhPZS3BaFdqhMYYpDFGnCAYj4g+wcgujTFIY0z5L5sJNcZagnFS0wnH3yoYr43GGKQxpvxiM6HGWEswTmo64fhbe4kiwXgqGmOQxpgyBmPvjXGstRpjrRME4/heMsui7/CW1VMTjKeylmB0H2OENcag/tNbME7Gky8LximKOrmNUTCezFqC0e0aEWsJxlXsSu3/eq9gnIwnP9wJ9/3RUxSVg7MTjKciGIMEY4pdqRGCcXTM5y2u4jZGwXgy1hiDrDGmuI8xQjCOaj5vsau7NQTjyawlGO1KjdAYgzTGiPbBeET0CUbu0BiDNMYUjTFCMMIiGmOQxpiiMUYIRlhEYwzSGFM0xgjBCIusJRjdxxihMQZpjBGCkf6sJRjdrhGhMQZpjBGCkf4IxiDBmKIxRghGWMQaY5A1xhSNMUIwwiJrCUa7UiM0xiCNMUIw0h+NMUhjTNEYIwQjLKIxBmmMKRpjhGCERTTGII0xRWOMEIywyFqC0X2MERpjkMYYIRjpz1qC0e0aERpjkMYYIRjpj2AMEowpGmOEYIRFrDEGWWNM0RgjBCMsspZgtCs1QmMM0hgjBCP90RiDNMYUjTFCMMIiGmOQxpiiMUYIRlhEYwzSGFM0xgjBCIusJRjdxxihMQZpjBGCkf6sJRjdrhGhMQZpjBGCkf4IxiDBmKIxRghGWMQaY5A1xhSNMUIwwiL5YPzuy82H8Xw3H758LF+rF97wuYohf/75zZtxyDdvvnwuX6sUD8Yf3/5wM57u5v0P5UsJ2cbYcshYer999+n9OOT7978pX6rWNBin/wP6QzlaTjDSn3AwfvelnGz2IRQ7yTK2iiF/fn/IN4lsDAfjj9NL+ewmFjvJxth2yFB6v7s75PtP5et1Wgbjr6fzfiiHywlG+hMNxjEY7nvzXXm0Sq6MrWLIcbXyvjc/L48uFw3G7+++mG+kGlmuMbYeMpLebxsN2TAYSy4KRi5SMhiny1UPfSiP14iVsVUMOV1BfehNeXyxZDD+UE501/vyaJ1YY2w+ZCK9mw3ZMBj/UM4rGLlEwWDc92r++vVNeUaF1C2CKx+yNhmDwfiw5BQ/lifUSDXG9kMG0nvvkO/KExZrF4xzYRSMXKRcMO6rYhvVTSd1J8Qqhtyfi9VD5oLxwHcysHoZaownGLI+vffmYv2QzYJxm4uCkYsUC8adV/PP342n+vK5HA+q61gmcy5gyLpkjAXj2JYmH8czlS2VGzfjM6pkGuMphqxO75ZDNgvGaUfqhmDkEqWC8WM5yd3T3L6g19axyPLdKoa83Y3aYMhUMI5labRzmu0Lev3qWKQxnmTI2vR+Nw6z0WDIVsH423LSgWDkEoWCcbuL8v4elm39KcdLJTZ8rmLI8RwbTYZMBeP8yn33hXtbfqoXxyKN8SRD1qZ30yEbBePthVTByGUKBePcxR7Wmfn1vHLXZ6KMXciQNZUxFIzbmlOOZ1/Ll6vbWKIxnmbIyvRuO2SjYCynHAlGLlEoGMspHmkz2wZUjhdKlLFxjEE53HE1Q4aCca45D84xP1AOF0s0xtMMWZnebYdsE4y3C4wDwcglygTjXHMeO8W8ZvalHC8TKGOrGHIe5NCQFW+BkwnGueZ8Lce35kuADx95nkBjPNGQden9/TjIoSGr3gKnSTDuXkgVjFymTDDOV/nK4V3lsbrLlIFbBC9myIprqZlg/LT/FKXo1F6mDDTGEw1Zl95PD1m1MbVJMJYTlt4oGLlEmWAsZ3i8ysxXXsrhMoE7IcYhrnzITDCWMzx2mS+UOYHGOM4xKIe7kkPWpfc4x6Ac7koM2SIYy1ve/JVg5IJFgnHe7vn4e3nOdxqUw2XqM8eQg2gwPnYpcq5A5XCpQGMcx2g/ZCS9Ww3ZIBjLhdTfziuNgpFLFAnGefGrHN4zv9hXvU93/fLdBQ25/M3EM8FY3lDmsTPMC7nlcKlAYzzRkHXpXWphqyHzwVhy8cOfCEYuWSQYDzeZ+pfzQf2GT0MOMsE4lKWvn94/+pLdT2M80ZB16d14yHwwljj89fZXgpFLlFlj/PL5y5s3b554Oa84f2bD58UMef5g3KufNcYD+lljPKDLNcbyljdfhl8KRi5YJhgPOnx58EiJWwQPuZIhmwdjOXntnRCRxrjXOGJoyGbpPY7Y2e0a84XUza8FIxfsBMF48A6EYwXK2EFXMmTrYJw/WbD25E0bY3TIVukdGTIdjOVcv978WjBywdoH43z97+y3CB6yqiHPfh/jXmOH2ijHi7VsjNkhG6V3ZshwMJYLqWMuCkYuWftgnK//1b2pzBgK7TJnVUOe/Z1v9po//7D2ImXTxpgdslF6Z4bMBuPuhVTByEVrH4zl7HX7PVtnzjjh4NKHbBqM25ZTu6ulZWNMD9kkvVNDZoOxnKkcCUYuWPNgnGtO3epd4+W7qxmyYTC+m0tO4tStGmN+yAbpnRsyGowlCb+7eygYuUStg3HMio2qO+cbb/hc15A1rbZRML57O+8V2QicuUVjbDNkOL2zQyaD8e6FVMHIRWsdjPNGypoPEdxoWsauZ8gWwVjOt5U4cbwxjpPtiA2ZTO9xsh3VQwaDseTifCFVMHLRGgdj+b+e+pO33PC5riGrlkHbB2P1lpZRvDGOs20Fh2yX3oEhg8FY/v5NO1I3BCMXrG0wbhdLKjZSThrua7mmIRsE4/Yz6Ef1W1pG6cbYbshgeueHzAVjKYybt7wpBCMXrGkwjkGxUXuNsmXmXNWQDYJxu4OyeP+uPFAj3RjbDRlM7/yQsWB8cCFVMHLRWgbjuOQ2qj91s+W76xqyeWPcCHSdto1xIzVks8a4UTtkLBjnD2EshxuCkQvWMBi3Lad2s+dGqw2fVzZkg2D8Ws634/2P5bHF0o2x3ZDB9H5syLrSmArGv57O8dtyOBKMXLB2wZisYs3K2LUN2SAYf/Pp7Xiqr+XjIEa1J083xnZDBtM7P2QoGOc7Nf6kHI8EIxesWTCW/7sZBKpYqw2fqxhyvk8jMWSDYNwxf4Tg69c35StLpRvjjvCQwfTeERoyFIzlFLc7UjcEIxesVTDevnlH5rRN9rVc35Btg/Hbt9thK1fH0o1xV3bINukdGjITjGWBcWdH6oZg5II1CsZkyxm1yJwrHLJxMG4/Xvf167rFsYaNcZAcslF6Z4aMBOP9t7wpBCMXrE0wpqtYk+W7VQx5e7E3MmTzYNzepF7Xxlo2xsE44SAwZLP0TgwZCcZygrsXUgUjF61FMI75MAlVsQYbPq9zyPbBuF0dK8fLtG2MySHbpXdgyEQwlgC8n4uCkUvWIBh3Xs1jWRsvY1c6ZPtg3F4CrHpHs8aNMThku/QODBkIxj0XUgUjFy0fjNtPRwpWsfiGz2sd8gTBOBed35TjRRo3xuCQDdO7fsj6YJzf8uZBYRSMXLJ4MN6u3NW/xdqO7L6WVQxZXnkGuSFPEIzz2ljV+l3rxpgbsmF61w9ZH4y/Lb/9ScsDUjDSn3Qw3m6ijEZONnOud8i1BGPrxpgbsuv0rg/G8p43T/tD+Q3PJxjpTzgYG1Wx7PLdFQ95imAsS2P1Zaxl5sSGbJne1UNqjLBINBjzm0W2chs+r3rIEwZj1Y7P5o0xNuQJ0nv5kPXB+Ln89icJRi5JMhgbRk6ujF33kJlg/PH7Hz6+f/1DObqvnP/cjfFEQ9al97t3P3y6aTekxgiLBINxXGGbBHd6FqkNn1c+ZCQYywn2vV4/8fBR6hvjOMMJhqxK73GGhkNqjLBILhhvW86beBWL7Wu59iEjwViWP/e8Xo9xMfhUjhepb4ynGrIqvQ8vItYPGWiMH/Yp531dDh/ez3EswUh/csG43UX5oXwhKpQ51z5kJBgPL33NL+f7rg8eZTxJInOaD1mV3q2HrA/GX20+aurR/0oy/mH+wmKCkf7EgnG7izK807MYW1R15qxiyO3/Fm8wZCQY5xvPH39Hlvl7XLGGmWiMpxqyKr3nIR/vhPVDBoJxLzf4c8FSwbh9l5Y2kZPZ8GnIzOabcoZHi85cc5Zvpdyob4ynGrJuh9A4xKAc3hEYUjDCIqFg3C6LNYqcSBkzZCgY5yuAH8vxrrnmVL0LaaAxnmrIuvRuPKRghEVCwVhO0WbpbiOx4XOccHDFQ2aCcb4C+MhHBf5QHqnrYonGeKIh69K78ZCCERbJBOPHcorKdcoDAvtaVjHk9kJqmyEzwbgtOg+2U74rD9Rt94w0xhMNWZfe21rYZkjBCItEgnEMhI38rYGz+swx5CAUjNvlr5vyhWLOon03IBwt0BhPNGRlercdUjDCIpFg3Haxg6pe6+uX71Yx5M4nTR2wfMhQMN6+bu/eS/Dj7VerTj5INMbTDFmZ3m2HFIywSCQYywmeUJU59Rs+xxmedOFDpoJx5/X8/W9+3Hzh7XZNbFAbOZHGeJoha9N7d8iv6SEFIyySCMbtRsrDqlbNqsuYITdiwbjzev5QdeRkGuNJhqxO75ZDCkZYJBGMR76fYlUZq97waciNXDAeeD3/vjyjQqYxnmLI+vRuOKRghEUSwVh+/1Oqylj1vpZxhKdd+JDBYNz3el67pWUUaownGDKQ3u2GFIywyAmDsaqMnSpzLnzIZDB++/axF/T6026kGmP7IRPp3WxIwQiLrKUxVi/fjSM87cKHjAbjt99+uveC/imTOMHGOGg7ZCS9Ww0pGGGRRDCeQu7D8Rvqf8hwMA6+fno/vaa//5gKnEGuMY4aDhlK70GDIVsG40bVp2rMBCP9WUswVpexU+h/yHwwtpFsjM0kG2MbrYMxQjDSn7UEY+rD8Zvqf8i1BGO4MbYRbowNCEZYZC3BWL2v5RT6H1JjDNIYIwQj/RGMQYIxRWOMEIywiDXGIGuMKRpjhGCERdYSjHalRmiMQRpjhGCkPxpjkMaYojFGCEZYZC3BaFdqhMYYpDFGCEb6Y/NNkM03KRpjhGCERQRjkGBM0RgjBCMsYo0xyBpjisYYIRhhkbUEo12pERpjkMYYIRjpj8YYpDGmaIwRghEWWUsw2pUaoTEGaYwRgpH+2HwTZPNNisYYIRhhEcEYJBhTNMYIwQiLWGMMssaYojFGCEZYZC3BaFdqhMYYpDFGCEb6ozEGaYwpGmOEYIRF1hKMdqVGaIxBGmOEYKQ/Nt8E2XyTojFGCEZYRDAGCcYUjTFCMMIi1hiDrDGmaIwRghEWWUsw2pUaoTEGaYwRgpH+aIxBGmOKxhghGGGRtQSjXakRGmOQxhghGOmPzTdBNt+kaIwRghEWEYxBgjFFY4wQjLCINcYga4wpGmOEYIRF1hKMdqVGaIxBGmOEYKQ/GmOQxpiiMUYIRlhkLcFoV2qExhikMUYIRvpj802QzTcpGmOEYIRFBGOQYEzRGCMEIyxijTHIGmOKxhghGGGRtQSjXakRGmOQxhghGOmPxhikMaZojBGCERZZSzDalRqhMQZpjBGCkf7YfBNk802KxhghGGERwRgkGFM0xgjBCItYYwyyxpiiMUYIRlhkLcFoV2qExhikMUYIRvqjMQZpjCkaY4RghEXWEox2pUZojEEaY4RgpD823wTZfJOiMUYIRlhEMAYJxhSNMUIwwiLWGIOsMaZojBGCERbZCcaPf/Mvfv83/+Zf/L7Lf3+7mfA//f5v+p1w+Lf3If/m93+xmXDyw+/+3+GfT/3986/+1V/87ofNhP/5d+OI/9fwz87DffyzO+Rmyp5sZvv0u+H/+d2nzYST3/4/vfpcJhwIRjrxTfkrCXBef1ReleDMBCPQB8FIJwQj0AfBSCcEI9AHwUgndjbf/M1PO/b7zYRfykGv+h9y3Dc7+d3bjv1uM+HHctCr/occ981Ofv9XvfqvZcKBzTd0wn2MQe5jTOn/FsHBqu5j/PWf/OpXv+ryP7dr0B/BGCQYU/q/RXDgPsYIwUh/1hKMPl0jQmMMWldjLDHUH8FIf9YSjN75JmItwfj9ZsLeG2P/Q2qMsIjGGKQxpmiMEYIRFtEYgzTGFGuMEYIRFtEYgzTGFI0xQjDCIhpjkMaY8l82E/beGPsfUjDCImsJRp/gH7GWYPzFZsLeG2P/QwpGWGQtweg+xohVBWPvjbH/IQUjLCIYgwRjijXGCMEIi1hjDLLGmGJXaoRghEXWEox2pUZojEEaY4RgpD8aY5DGmKIxRghGWERjDNIYUzTGCMEIi2iMQRpjisYYIRhhkbUEo/sYIzTGII0xQjDSn7UEo9s1IjTGII0xQjDSH8EYJBhTNMYIwQiLWGMMssaYojFGCEZYZC3BaFdqhMYYpDFGCEb6ozEGaYwpGmOEYIRFNMYgjTFFY4wQjLCIxhikMaZojBGCERZZSzC6jzFCYwzSGCMEI/1ZSzC6XSNCYwzSGCMEI/0RjEGCMUVjjBCMsIg1xiBrjCkaY4RghEXWEox2pUZojEEaY4RgpD8aY5DGmKIxRghGWERjDNIYUzTGCMEIi2iMQRpjisYYIRhhkbUEo/sYIzTGII0xQjDSn7UEo9s1IjTGII0xQjDSH8EYJBhTNMYIwQiLWGMMssaYojFGCEZYZC3BaFdqhMYYpDFGCEb6ozEGaYwpGmOEYIRFNMYgjTFFY4wQjLCIxhikMaZojBGCERZZSzC6jzFCYwzSGCMEI/1ZSzC6XSNCYwzSGCMEI/0RjEGCMUVjjBCMsIg1xiBrjCkaY4RghEXWEox2pUZojEEaY4RgpD8aY5DGmKIxRghGWERjDNIYUzTGCMEIi2iMQRpjisYYIRhhkbUEo/sYIzTGII0xQjDSn3wwfvflw814vg83X76Ur9UL3wmxjiE/v3kzDfnmy+fytUrxYHz3ix/ej6e7ef9D+VJCtoytYsi3v/jNNOT795/Kl6o1DcY/jOf9UI6WE4z0JxyM330pJ5t9+FgeqZTMnFUM+dMHQyYCPByMb6eX8lkudpJlbJVDfi1fr9MyGH89nfcP5XA5wUh/osE4rrHd9+Hn5dEqueW79Q75pn7IaDD+OJXuXe9/Ux6rlCtjqxjy7SNDJmpjw2AsuagxcpGSwfihnOi+m/J4jdiGz1UP+aE8vlgyGL+WE911Ux6tEytjKx7yfXm0QsNgnP+KCkYuUTAYH/6v3ln163mujK1iyH25OJTG8oylgsG49zv5i/KEGqkytooh715F3VH9v13aBeNcGAUjFykXjNM+kcfV17FQGVv9kJXxnQvGva/mr1+/K0+pECpj1z5ks2Dc5qJg5CLFgnHnf5t//vl4qs8720dqm06ojK1iyJ2+GB8yFozvylkGn8Yzfb19fQ9cA8yUsVUMOcbrJD5ks2CcdqRuCEYuUSoYb1+6d3eIfC5fq69jkVsEL2LIqs6YCsbbV/Od02xf0OuX8CJl7AKGrEzGVsH41+WkA8HIJQoF49iVNu4Xmu1lwXK8VOJOCEPGgnGu3ndfuLcv8lXn3oiUMUM2CsbbC6mCkcsUCsa50DysM/PreeXiWCJzDJkKxu3rdjmezdsrq9vY+AdUljFDtgrGcsqRYOQShYKxnOKRNjNuSNkoxwsllu/GMQblcMfVDBkKxrnmPDjHfA2wHC6WKGOGbBSMtwuMA8HIJcoE47wu9tgp5gpU9+4ygQ2fFzNkxVvgZILx+3KKj+X41lyAat9dJlDGVjHkPEqjIZsE4+6FVMHIZcoE47yRshzeVR6r204ZKGOrGHK+XloO7yqPVQyZCcYf9p+iFJ3a7ZSBMmbIRsFYTlj+z0kwcokywVjO8HiVOfhaf6xAGRuHuPIhM8FYzvDYZb5Q5gTK2DjHoBzuupohWwRjCcS/EoxcsEgwjk1p7xnmq4PlcJn6MmbIQTQYH3uj60/lsXK4VKCMjWNc+ZANgrFcSP0yB6Rg5BJFgnFe/CqH98ybRr4rx4vU3yJoyEEmGEuZeewM827KcrhUoIwZskUwllwc4lAwcsEiwfixnKEc3nO4B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a vector v and a positive integer n, return an m-by-n matrix containing the elements of v row-wise, alternating left-to-right and right-to-left ordering:\r\n\r\n\r\nYou can assume that the number of elements of v will be an integer multiple of n.\r\nFor example:\r\nv = 1:12;\r\nboustrophedon(v,4)\r\nans =\r\n 1 2 3 4\r\n 8 7 6 5\r\n 9 10 11 12\r\n\r\nboustrophedon(v,6)\r\nans =\r\n 1 2 3 4 5 6\r\n 12 11 10 9 8 7\r\n\r\n\r\nv = [20 1 18 4 13 6 10 15 2 17 3 19 7 16 8 11 14 9 12 5];\r\nans =\r\n 20 1 18 4 13\r\n 17 2 15 10 6\r\n 3 19 7 16 8\r\n 5 12 9 14 11\r\n\r\nt = 'We hold these truths to be self-evident, that all men are created equal, that they are endowed by their Creator with certain unalienable Rights, that among these are Life, Liberty and the pursuit of Happiness. hat to secure these rights, Governments are instituted among Men, deriving their just powe';\r\nboustrophedon(t,30)\r\nans =\r\n 10×30 char array\r\n 'We hold these truths to be sel'\r\n 'rc era nem lla taht ,tnedive-f'\r\n 'eated equal, that they are end'\r\n 'rec htiw rotaerC rieht yb dewo'\r\n 'tain unalienable Rights, that '\r\n ' ytrebiL ,efiL era eseht gnoma'\r\n 'and the pursuit of Happiness. '\r\n 'oG ,sthgir eseht eruces ot tah'\r\n 'vernments are instituted among'\r\n 'ewop tsuj rieht gnivired ,neM '\r\n\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 1242.73px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 1256.5px 621.367px; transform-origin: 1256.5px 621.367px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21.25px; text-align: left; transform-origin: 384px 21.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 48px 8px; transform-origin: 48px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a vector \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 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margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 35px 8px; transform-origin: 35px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, return an \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 5.5px 8px; transform-origin: 5.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003em\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 12.5px 8px; transform-origin: 12.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e-by-\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 107.5px 8px; transform-origin: 107.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e matrix containing the elements of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; 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\" data-image-state=\"image-loaded\" width=\"447\" height=\"330\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 253px 8px; transform-origin: 253px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYou can assume that the number of elements of v will be an integer multiple of n.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 41px 8px; transform-origin: 41px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 694.733px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 1253.5px 347.367px; transform-origin: 1253.5px 347.367px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 36px 8.5px; tab-size: 4; transform-origin: 36px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ev = 1:12;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 72px 8.5px; tab-size: 4; transform-origin: 72px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eboustrophedon(v,4)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 20px 8.5px; tab-size: 4; transform-origin: 20px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 96px 8.5px; tab-size: 4; transform-origin: 96px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 1 2 3 4\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 96px 8.5px; tab-size: 4; transform-origin: 96px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 8 7 6 5\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 96px 8.5px; tab-size: 4; transform-origin: 96px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 9 10 11 12\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.5px; tab-size: 4; transform-origin: 0px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 72px 8.5px; tab-size: 4; transform-origin: 72px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eboustrophedon(v,6)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 20px 8.5px; tab-size: 4; transform-origin: 20px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 144px 8.5px; tab-size: 4; transform-origin: 144px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 1 2 3 4 5 6\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 144px 8.5px; tab-size: 4; transform-origin: 144px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 12 11 10 9 8 7\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.5px; tab-size: 4; transform-origin: 0px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.5px; tab-size: 4; transform-origin: 0px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 228px 8.5px; tab-size: 4; transform-origin: 228px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ev = [20 1 18 4 13 6 10 15 2 17 3 19 7 16 8 11 14 9 12 5];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 20px 8.5px; tab-size: 4; transform-origin: 20px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 120px 8.5px; tab-size: 4; transform-origin: 120px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 20 1 18 4 13\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 120px 8.5px; tab-size: 4; transform-origin: 120px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 17 2 15 10 6\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 120px 8.5px; tab-size: 4; transform-origin: 120px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 3 19 7 16 8\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 120px 8.5px; tab-size: 4; transform-origin: 120px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e 5 12 9 14 11\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.5px; tab-size: 4; transform-origin: 0px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 1228px 8.5px; tab-size: 4; transform-origin: 1228px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003et = \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 1208px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 1208px 8.5px; \"\u003e'We hold these truths to be self-evident, that all men are created equal, that they are endowed by their Creator with certain unalienable Rights, that among these are Life, Liberty and the pursuit of Happiness. hat to secure these rights, Governments are instituted among Men, deriving their just powe'\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 76px 8.5px; tab-size: 4; transform-origin: 76px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eboustrophedon(t,30)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 20px 8.5px; tab-size: 4; transform-origin: 20px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 72px 8.5px; tab-size: 4; transform-origin: 72px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e 10\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 4px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 4px 8.5px; \"\u003e×\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 32px 8.5px; transform-origin: 32px 8.5px; \"\u003e30 char \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003earray\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 144px 8.5px; tab-size: 4; transform-origin: 144px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 128px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 128px 8.5px; \"\u003e'We hold these truths to be sel'\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 144px 8.5px; tab-size: 4; transform-origin: 144px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 128px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 128px 8.5px; \"\u003e'rc era nem lla taht ,tnedive-f'\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 144px 8.5px; tab-size: 4; transform-origin: 144px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 128px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 128px 8.5px; \"\u003e'eated equal, that they are end'\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 144px 8.5px; tab-size: 4; transform-origin: 144px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 128px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 128px 8.5px; \"\u003e'rec htiw rotaerC rieht yb dewo'\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 144px 8.5px; tab-size: 4; transform-origin: 144px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 128px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 128px 8.5px; \"\u003e'tain unalienable Rights, that '\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 144px 8.5px; tab-size: 4; transform-origin: 144px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 128px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 128px 8.5px; \"\u003e' ytrebiL ,efiL era eseht gnoma'\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 144px 8.5px; tab-size: 4; transform-origin: 144px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 128px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 128px 8.5px; \"\u003e'and the pursuit of Happiness. '\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 144px 8.5px; tab-size: 4; transform-origin: 144px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 128px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 128px 8.5px; \"\u003e'oG ,sthgir eseht eruces ot tah'\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 144px 8.5px; tab-size: 4; transform-origin: 144px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 128px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 128px 8.5px; \"\u003e'vernments are instituted among'\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 1253.5px 10.2167px; transform-origin: 1253.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 144px 8.5px; tab-size: 4; transform-origin: 144px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 128px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 128px 8.5px; \"\u003e'ewop tsuj rieht gnivired ,neM '\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = boustrophedon(v,n)\r\n v = v(1:n);\r\nend","test_suite":"%%\r\nv = [4 14 5 9 14 17 20 13 6 19 4 15];\r\nM1 = boustrophedon(v,3);\r\nM2 = [4 14 5;17 14 9;20 13 6;15 4 19];\r\nassert( isequal(M1,M2) )\r\nv = [6 10 1 18 17 13 10 7 13 17 9 7 2 11 5 6 12 9 15 2 12 18 19 19 5 7 18 12 2 18 6 3 8 16 14];\r\nM1 = boustrophedon(v,7);\r\nM2 = [6 10 1 18 17 13 10;11 2 7 9 17 13 7;5 6 12 9 15 2 12;12 18 7 5 19 19 18;2 18 6 3 8 16 14];\r\nassert( isequal(M1,M2) )\r\nv = [19 18 10 7 9 8 17 15 10 11 11 9 8 6 20 14];\r\nM1 = boustrophedon(v,2);\r\nM2 = [19 18;7 10;9 8;15 17;10 11;9 11;8 6;14 20];\r\nassert( isequal(M1,M2) )\r\nv = [16 11 16 4 7 17 19 14 9 6 13 4 20 8 3 17 2 2 2 13 14 18 14 19 4 8 19 4 16 5 17 19 8 18 15 13 9 7 12 11 13 13 18 18 15 11 15 2];\r\nM1 = boustrophedon(v,2);\r\nM2 = [16 11;4 16;7 17;14 19;9 6;4 13;20 8;17 3;2 2;13 2;14 18;19 14;4 8;4 19;16 5;19 17;8 18;13 15;9 7;11 12;13 13;18 18;15 11;2 15];\r\nassert( isequal(M1,M2) )\r\nv = [9 2 3 2 1 11 10 5 5 1 20 6 2 12 16 7 11 16 10 17 17 2 18 14 16 3 14 17 2 4 18 6 18 7 7 14 2 9 18 14 17 9 7 11 20 9 14 13 12 11 1 17 11 13 2 10 17 15 3 8 13 12 7 10 16 8 16 9 1 10 5 1 7 8 1 14 2 18 17 10 13 9 8 10 4 6 10 18 6 20];\r\nM1 = boustrophedon(v,5);\r\nM2 = [9 2 3 2 1;1 5 5 10 11;20 6 2 12 16;17 10 16 11 7;17 2 18 14 16;4 2 17 14 3;18 6 18 7 7;14 18 9 2 14;17 9 7 11 20;11 12 13 14 9;1 17 11 13 2;8 3 15 17 10;13 12 7 10 16;10 1 9 16 8;5 1 7 8 1;10 17 18 2 14;13 9 8 10 4;20 6 18 10 6];\r\nassert( isequal(M1,M2) )\r\nv = [15 11 18 11 16 7 14 6 17 8 17 3 8 17 15 15 4 11 13 3 13 20 2 10 11 20 10 12 16 8 20 7 19 15 3 16 7 10 4 1 13 20 20 5];\r\nM1 = boustrophedon(v,11);\r\nM2 = [15 11 18 11 16 7 14 6 17 8 17;20 13 3 13 11 4 15 15 17 8 3;2 10 11 20 10 12 16 8 20 7 19;5 20 20 13 1 4 10 7 16 3 15];\r\nassert( isequal(M1,M2) )\r\nv = [5 1 10 6 3 4 1 13 13 17 10 8];\r\nM1 = boustrophedon(v,6);\r\nM2 = [5 1 10 6 3 4;8 10 17 13 13 1];\r\nassert( isequal(M1,M2) )\r\nv = [12 12 7 20 3 12 15 7 9 18 12 19 3 6 20 3 12 4 13 19 8 13 15 20 4 12 5 15 7 1 15 13 1 2 3 6 12 15 14 18 12 7 11 7 14 7 19 14 15 15 12 15 7 18 18 15 3 8 18 9 12 18 12 12 6 1 4 17 9 17 1 13 7 5 13];\r\nM1 = boustrophedon(v,25);\r\nM2 = [12 12 7 20 3 12 15 7 9 18 12 19 3 6 20 3 12 4 13 19 8 13 15 20 4;15 15 14 19 7 14 7 11 7 12 18 14 15 12 6 3 2 1 13 15 1 7 15 5 12;12 15 7 18 18 15 3 8 18 9 12 18 12 12 6 1 4 17 9 17 1 13 7 5 13];\r\nassert( isequal(M1,M2) )\r\nv = [17 8 5 7 9 10 19 2 17 19 17];\r\nM1 = boustrophedon(v,1);\r\nM2 = [17;8;5;7;9;10;19;2;17;19;17];\r\nassert( isequal(M1,M2) )\r\nv = [20 17 4 12 13 4 17 1 12 11 20 17 5 17 16 20 8 16 3 16 15 7 5 14 17 12 7 8 20 17 15 5 4 1 6 15];\r\nM1 = boustrophedon(v,12);\r\nM2 = [20 17 4 12 13 4 17 1 12 11 20 17;14 5 7 15 16 3 16 8 20 16 17 5;17 12 7 8 20 17 15 5 4 1 6 15];\r\nassert( isequal(M1,M2) )\r\nv = [10 1 16 20 6 10 17 6 5 8 19 13 14 1 19 3 14 18 16 20 17 8 1 19 12 14 8];\r\nM1 = boustrophedon(v,9);\r\nM2 = [10 1 16 20 6 10 17 6 5;18 14 3 19 1 14 13 19 8;16 20 17 8 1 19 12 14 8];\r\nassert( isequal(M1,M2) )\r\nv = [7 1 6 7 1 4 7 3 13 13 10 20 13 13 13 15 2 2 14 6 3 1 14 6 15 20 12 5 1 4];\r\nM1 = boustrophedon(v,15);\r\nM2 = [7 1 6 7 1 4 7 3 13 13 10 20 13 13 13;4 1 5 12 20 15 6 14 1 3 6 14 2 2 15];\r\nassert( isequal(M1,M2) )\r\n%% One row (with random numbers)\r\nfor k = 1:3\r\n n = randi([4 20]);\r\n v = randi(20,1,n);\r\n M = boustrophedon(v,n);\r\n assert( isequal(v,M) )\r\nend\r\n%% Two rows (with random numbers)\r\nfor k = 1:3\r\n n = randi([4 20]);\r\n v1 = randi(20,1,n);\r\n v2 = randi(20,1,n);\r\n v = [v1 v2];\r\n M = boustrophedon(v,n);\r\n assert( isequal([v1;v2(n:-1:1)],M) )\r\nend\r\n%% Three rows (with random numbers)\r\nfor k = 1:3\r\n n = randi([4 20]);\r\n v1 = randi(20,1,n);\r\n v2 = randi(20,1,n);\r\n v3 = randi(20,1,n);\r\n v = [v1 v2 v3];\r\n M = boustrophedon(v,n);\r\n assert( isequal([v1;v2(n:-1:1);v3],M) )\r\nend","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":571375,"edited_by":287,"edited_at":"2022-10-24T13:22:50.000Z","deleted_by":null,"deleted_at":null,"solvers_count":107,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-30T17:50:26.000Z","updated_at":"2024-12-17T13:51:46.000Z","published_at":"2022-10-24T13:11:57.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a vector \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ev\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and a positive integer \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, return an \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003em\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e-by-\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e matrix containing the elements of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ev\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e row-wise, alternating left-to-right and right-to-left ordering:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"330\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"447\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou can assume that the number of elements of v will be an integer multiple of n.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[v = 1:12;\\nboustrophedon(v,4)\\nans =\\n 1 2 3 4\\n 8 7 6 5\\n 9 10 11 12\\n\\nboustrophedon(v,6)\\nans =\\n 1 2 3 4 5 6\\n 12 11 10 9 8 7\\n\\n\\nv = [20 1 18 4 13 6 10 15 2 17 3 19 7 16 8 11 14 9 12 5];\\nans =\\n 20 1 18 4 13\\n 17 2 15 10 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the Acrostic Message","description":"An acrostic cipher is a way of embedding one message within another by taking the first (or last) word of each line. Given a string s, and a positive integer n, return a string containing the message you would get by taking the first word on each line, having written the message in s with n words on each line.\r\n\r\nYou do not need to worry about punctuation. A \"word\" is anything separated by a space. The input message will use only single spaces (and no line breaks or other whitespace). Similarly, the output message should use only single spaces between words.\r\nNote that the number of words in s is not necessarily a multiple of n.\r\nAlso note that this problem can be solved more directly than using the method described above.\r\nt = \"This week's Cody challenge is designed to test an essential skill that's easy to have a problem with.\";\r\nacrostic(t,4)\r\n\r\nans = \r\n \"This is an easy problem\"","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 783.667px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 460.5px 391.833px; transform-origin: 460.5px 391.833px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 64px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 32px; text-align: left; transform-origin: 384px 32px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 381.5px 8px; transform-origin: 381.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eAn acrostic cipher is a way of embedding one message within another by taking the first (or last) word of each line. Given a string \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003es\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 74px 8px; transform-origin: 74px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, and a positive integer \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 273.5px 8px; transform-origin: 273.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, return a string containing the message you would get by taking the first word on each line, having written the message in \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003es\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e with \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 63px 8px; transform-origin: 63px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e words on each line.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 466.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 233.25px; text-align: left; transform-origin: 384px 233.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 585px;height: 461px\" 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\" data-image-state=\"image-loaded\" width=\"585\" height=\"461\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 381px 8px; transform-origin: 381px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYou do not need to worry about punctuation. A \"word\" is anything separated by a space. The input message will use only single spaces (and no line breaks or other whitespace). Similarly, the output message should use only single spaces between words.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 212.5px 8px; transform-origin: 212.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eNote that the number of words in s is not necessarily a multiple of n.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 301.5px 8px; transform-origin: 301.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eAlso note that this problem can be solved more directly than using the method described above.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 102.167px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 457.5px 51.0833px; transform-origin: 457.5px 51.0833px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 457.5px 10.2167px; transform-origin: 457.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 432px 8.5px; tab-size: 4; transform-origin: 432px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003et = \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 412px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 412px 8.5px; \"\u003e\"This week's Cody challenge is designed to test an essential skill that's easy to have a problem with.\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 457.5px 10.2167px; transform-origin: 457.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 52px 8.5px; tab-size: 4; transform-origin: 52px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eacrostic(t,4)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 457.5px 10.2167px; transform-origin: 457.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.5px; tab-size: 4; transform-origin: 0px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 457.5px 10.2167px; transform-origin: 457.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 24px 8.5px; tab-size: 4; transform-origin: 24px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eans = \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 457.5px 10.2167px; transform-origin: 457.5px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 116px 8.5px; tab-size: 4; transform-origin: 116px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 100px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 100px 8.5px; \"\u003e\"This is an easy problem\"\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = acrostic(t,n)\r\n t = t(1:n);\r\nend","test_suite":"%%\r\nt = \"We hold these truths to be selfevident that all men are created equal that they are endowed by their Creator with certain unalienable Rights that among these are Life Liberty and the pursuit of Happiness That to secure these rights Governments are instituted among Men deriving their just powers\";\r\ns = acrostic(t,1);\r\nassert( isequal(s,\"We hold these truths to be selfevident that all men are created equal that they are endowed by their Creator with certain unalienable Rights that among these are Life Liberty and the pursuit of Happiness That to secure these rights Governments are instituted among Men deriving their just powers\") )\r\nt = \"We hold these truths to be selfevident that all men are created equal that they are endowed by their Creator with certain unalienable Rights that among these are Life Liberty and the pursuit of Happiness That to secure these rights Governments are instituted among Men deriving their just powers\";\r\ns = acrostic(t,2);\r\nassert( isequal(s,\"We these to selfevident all are equal they endowed their with unalienable that these Life and pursuit Happiness to these Governments instituted Men their powers\") )\r\nt = \"We hold these truths to be selfevident that all men are created equal that they are endowed by their Creator with certain unalienable Rights that among these are Life Liberty and the pursuit of Happiness That to secure these rights Governments are instituted among Men deriving their just powers\";\r\ns = acrostic(t,3);\r\nassert( isequal(s,\"We truths selfevident men equal are their certain that are and of to rights instituted deriving powers\") )\r\nt = \"We hold these truths to be selfevident that all men are created equal that they are endowed by their Creator with certain unalienable Rights that among these are Life Liberty and the pursuit of Happiness That to secure these rights Governments are instituted among Men deriving their just powers\";\r\ns = acrostic(t,4);\r\nassert( isequal(s,\"We to all equal endowed with that Life pursuit to Governments Men powers\") )\r\nt = \"We hold these truths to be selfevident that all men are created equal that they are endowed by their Creator with certain unalienable Rights that among these are Life Liberty and the pursuit of Happiness That to secure these rights Governments are instituted among Men deriving their just powers\";\r\ns = acrostic(t,5);\r\nassert( isequal(s,\"We be are are with among and That Governments deriving\") )\r\nt = \"We hold these truths to be selfevident that all men are created equal that they are endowed by their Creator with certain unalienable Rights that among these are Life Liberty and the pursuit of Happiness That to secure these rights Governments are instituted among Men deriving their just powers\";\r\ns = acrostic(t,6);\r\nassert( isequal(s,\"We selfevident equal their that and to instituted powers\") )\r\nt = \"We hold these truths to be selfevident that all men are created equal that they are endowed by their Creator with certain unalienable Rights that among these are Life Liberty and the pursuit of Happiness That to secure these rights Governments are instituted among Men deriving their just powers\";\r\ns = acrostic(t,7);\r\nassert( isequal(s,\"We that they certain Life That instituted\") )\r\nt = \"We hold these truths to be selfevident that all men are created equal that they are endowed by their Creator with certain unalienable Rights that among these are Life Liberty and the pursuit of Happiness That to secure these rights Governments are instituted among Men deriving their just powers\";\r\ns = acrostic(t,8);\r\nassert( isequal(s,\"We all endowed that pursuit Governments powers\") )\r\nt = \"We hold these truths to be selfevident that all men are created equal that they are endowed by their Creator with certain unalienable Rights that among these are Life Liberty and the pursuit of Happiness That to secure these rights Governments are instituted among Men deriving their just powers\";\r\ns = acrostic(t,9);\r\nassert( isequal(s,\"We men their are to deriving\") )\r\nt = \"We hold these truths to be selfevident that all men are created equal that they are endowed by their Creator with certain unalienable Rights that among these are Life Liberty and the pursuit of Happiness That to secure these rights Governments are instituted among Men deriving their just powers\";\r\ns = acrostic(t,10);\r\nassert( isequal(s,\"We are with and Governments\") )\r\nt = \"We hold these truths to be selfevident that all men are created equal that they are endowed by their Creator with certain unalienable Rights that among these are Life Liberty and the pursuit of Happiness That to secure these rights Governments are instituted among Men deriving their just powers\";\r\ns = acrostic(t,11);\r\nassert( isequal(s,\"We created unalienable of Men\") )\r\nt = \"We hold these truths to be selfevident that all men are created equal that they are endowed by their Creator with certain unalienable Rights that among these are Life Liberty and the pursuit of Happiness That to secure these rights Governments are instituted among Men deriving their just powers\";\r\ns = acrostic(t,12);\r\nassert( isequal(s,\"We equal that to powers\") )\r\n%% Randomly generated\r\nfor k = 1:10\r\n s = [\"It\",\"is\",\"a\",\"truth\",\"universally\",\"acknowledged\",\"that\",\"single\",\"man\",\"in\",\"possession\",\"of\",\"good\",\"fortune\",\"must\",\"be\",\"want\",\"wife\"];\r\n n = randi(numel(s),1,randi(20));\r\n tout = s(n);\r\n n = randi(20);\r\n tin = join(repelem(tout,1,n),\" \");\r\n tout = join(tout,\" \");\r\n assert( isequal(acrostic(tin,n),tout) )\r\nend","published":true,"deleted":false,"likes_count":2,"comments_count":0,"created_by":571375,"edited_by":287,"edited_at":"2022-10-24T13:22:25.000Z","deleted_by":null,"deleted_at":null,"solvers_count":102,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-30T17:58:36.000Z","updated_at":"2024-11-26T04:07:11.000Z","published_at":"2022-10-24T13:12:34.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAn acrostic cipher is a way of embedding one message within another by taking the first (or last) word of each line. Given a string \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003es\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and a positive integer \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, return a string containing the message you would get by taking the first word on each line, having written the message in \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003es\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e with \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e words on each line.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"461\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"585\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou do not need to worry about punctuation. A \\\"word\\\" is anything separated by a space. The input message will use only single spaces (and no line breaks or other whitespace). Similarly, the output message should use only single spaces between words.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eNote that the number of words in s is not necessarily a multiple of n.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAlso note that this problem can be solved more directly than using the method described above.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[t = \\\"This week's Cody challenge is designed to test an essential skill that's easy to have a problem with.\\\";\\nacrostic(t,4)\\n\\nans = \\n \\\"This is an easy 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Between Analog Clock Hands","description":"Given a datetime variable t, return the angle (in degrees) between the hour and minute hands of an analog clock at the time represented by t.\r\n\r\nThe angle returned should be the smaller of the two angles between the hands (ie it should always be in the range [0,180]).\r\nAssume the hands are moving continuously (so at 03:30:00, the hour hand will be halfway between 3 and 4; at 03:26:30, the minute hand will be halfway between 26 and 27, etc).\r\nThe time may be am or pm; the angle returned should be assuming a standard 12-hour clock (so 03:26:30 and 15:26:30 will return the same angle).","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.440000534057617px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none; white-space: normal; \"\u003e\u003cdiv style=\"block-size: 441px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; text-align: left; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003eGiven a datetime variable \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003et\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003e, return the angle (in degrees) between the hour and minute hands of an analog clock at the time represented by \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; 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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cul style=\"block-size: 120px; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 40px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; text-align: left; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"\"\u003eThe angle returned should be the smaller of the two angles between the hands (ie it should always be in the range [0,180]).\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 40px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; text-align: left; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"\"\u003eAssume the hands are moving continuously (so at 03:30:00, the hour hand will be halfway between 3 and 4; at 03:26:30, the minute hand will be halfway between 26 and 27, etc).\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 40px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; text-align: left; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; \"\u003e\u003cspan style=\"\"\u003eThe time may be am or pm; the angle returned should be assuming a standard 12-hour clock (so 03:26:30 and 15:26:30 will return the same angle).\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function angle = clockHands(time)\r\nangle = time;\r\nend","test_suite":"%% Some obvious times/angles\r\nassert(isequal(clockHands(datetime(\"12:00:00\")),0))\r\nassert(isequal(clockHands(datetime(\"3:00:00\")),90))\r\nassert(isequal(clockHands(datetime(\"6:00:00\")),180))\r\nassert(isequal(clockHands(datetime(\"9:00:00\")),90))\r\n%% A bunch of random times\r\nt = datetime(2022,10,12,13,55,22);\r\nassert( abs(clockHands(t) - 85.4833) \u003c 0.01 )\r\nt = datetime(2022,10,12,16,27,59);\r\nassert( abs(clockHands(t) - 33.9083) \u003c 0.01 )\r\nt = datetime(2022,10,12,23,48,14);\r\nassert( abs(clockHands(t) - 64.7167) \u003c 0.01 )\r\nt = datetime(2022,10,12,03,38,27);\r\nassert( abs(clockHands(t) - 121.475) \u003c 0.01 )\r\nt = datetime(2022,10,12,07,46,10);\r\nassert( abs(clockHands(t) - 43.9167) \u003c 0.01 )\r\nt = datetime(2022,10,12,02,50,24);\r\nassert( abs(clockHands(t) - 142.8) \u003c 0.01 )\r\nt = datetime(2022,10,12,02,15,06);\r\nassert( abs(clockHands(t) - 23.05) \u003c 0.01 )\r\nt = datetime(2022,10,12,13,53,32);\r\nassert( abs(clockHands(t) - 95.5667) \u003c 0.01 )\r\nt = datetime(2022,10,12,11,18,47);\r\nassert( abs(clockHands(t) - 133.3083) \u003c 0.01 )\r\nt = datetime(2022,10,12,21,27,08);\r\nassert( abs(clockHands(t) - 120.7667) \u003c 0.01 )\r\nt = datetime(2022,10,12,03,44,52);\r\nassert( abs(clockHands(t) - 156.7667) \u003c 0.01 )\r\nt = datetime(2022,10,12,01,51,15);\r\nassert( abs(clockHands(t) - 108.125) \u003c 0.01 )\r\nt = datetime(2022,10,12,07,55,05);\r\nassert( abs(clockHands(t) - 92.9583) \u003c 0.01 )\r\nt = datetime(2022,10,12,04,59,58);\r\nassert( abs(clockHands(t) - 150.1833) \u003c 0.01 )\r\nt = datetime(2022,10,12,05,04,53);\r\nassert( abs(clockHands(t) - 123.1417) \u003c 0.01 )\r\nt = datetime(2022,10,12,00,57,39);\r\nassert( abs(clockHands(t) - 42.925) \u003c 0.01 )\r\nt = datetime(2022,10,12,23,35,20);\r\nassert( abs(clockHands(t) - 135.6667) \u003c 0.01 )\r\nt = datetime(2022,10,12,05,09,41);\r\nassert( abs(clockHands(t) - 96.7417) \u003c 0.01 )\r\nt = datetime(2022,10,12,09,34,44);\r\nassert( abs(clockHands(t) - 78.9667) \u003c 0.01 )\r\nt = datetime(2022,10,12,01,28,44);\r\nassert( abs(clockHands(t) - 128.0333) \u003c 0.01 )\r\nt = datetime(2022,10,12,10,43,28);\r\nassert( abs(clockHands(t) - 60.9333) \u003c 0.01 )\r\nt = datetime(2022,10,12,17,45,44);\r\nassert( abs(clockHands(t) - 101.5333) \u003c 0.01 )\r\nt = datetime(2022,10,12,03,28,40);\r\nassert( abs(clockHands(t) - 67.6667) \u003c 0.01 )\r\nt = datetime(2022,10,12,12,16,53);\r\nassert( abs(clockHands(t) - 92.8583) \u003c 0.01 )\r\nt = datetime(2022,10,12,19,26,47);\r\nassert( abs(clockHands(t) - 62.6917) \u003c 0.01 )","published":true,"deleted":false,"likes_count":3,"comments_count":3,"created_by":287,"edited_by":26769,"edited_at":"2022-10-29T01:32:29.000Z","deleted_by":null,"deleted_at":null,"solvers_count":99,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-10-12T20:40:09.000Z","updated_at":"2024-12-26T11:13:16.000Z","published_at":"2022-10-24T13:18:57.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a datetime variable \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003et\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, return the angle (in degrees) between the hour and minute hands of an analog clock at the time represented by \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003et\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"254\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"553\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe angle returned should be the smaller of the two angles between the hands (ie it should always be in the range [0,180]).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAssume the hands are moving continuously (so at 03:30:00, the hour hand will be halfway between 3 and 4; at 03:26:30, the minute hand will be halfway between 26 and 27, etc).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe time may be am or pm; the angle returned should be assuming a standard 12-hour clock (so 03:26:30 and 15:26:30 will return the same 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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":56200,"title":"Triangle Coordinates ","description":"Given a natural number n, return two -element vectors, x and y, containing the coordinates of a triangular arrangement of points, where:\r\nthere are n rows of points\r\nthe kth row contains k points\r\nall points in the kth row have y = k\r\nthe x coordinates in each row are equally spaced a distance of 1 and centered at 0\r\nThe points should be given in order, row 1 to row n, with the x coordinate in each row given in ascending numerical order.\r\nFor example:\r\n\r\n\r\nx = [0 -0.5 0.5 -1 0 1 -1.5 -0.5 0.5 1.5 -2 -1 0 1 2]\r\ny = [1 2 2 3 3 3 4 4 4 4 5 5 5 5 5]\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 611.6px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 305.8px; transform-origin: 407px 305.8px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 56.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 28.25px; text-align: left; transform-origin: 384px 28.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 76.5px 8px; transform-origin: 76.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a natural number \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 37.5px 8px; transform-origin: 37.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, return two \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-15px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 54px; height: 35.5px;\" width=\"54\" height=\"35.5\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 56.5px 8px; transform-origin: 56.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e-element vectors, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 3px 8px; transform-origin: 3px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 3.5px 8px; transform-origin: 3.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ey\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 135.5px 8px; transform-origin: 135.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, containing the coordinates of a triangular arrangement of points, where:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 81.7333px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 40.8667px; transform-origin: 391px 40.8667px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2167px; text-align: left; transform-origin: 363px 10.2167px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 31px 8px; transform-origin: 31px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003ethere are \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 45.5px 8px; transform-origin: 45.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e rows of points\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2167px; text-align: left; transform-origin: 363px 10.2167px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 12px 8px; transform-origin: 12px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003ethe \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ek\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 49.5px 8px; transform-origin: 49.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eth row contains \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ek\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 21px 8px; transform-origin: 21px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e points\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2167px; text-align: left; transform-origin: 363px 10.2167px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 49.5px 8px; transform-origin: 49.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eall points in the \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ek\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 38.5px 8px; transform-origin: 38.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eth row have \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 15.5px 8px; transform-origin: 15.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ey = k\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2167px; text-align: left; transform-origin: 363px 10.2167px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 12px 8px; transform-origin: 12px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003ethe \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 3px 8px; transform-origin: 3px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 245.5px 8px; transform-origin: 245.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e coordinates in each row are equally spaced a distance of 1 and centered at 0\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 155.5px 8px; transform-origin: 155.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe points should be given in order, row 1 to row \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 30px 8px; transform-origin: 30px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, with the \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 3px 8px; transform-origin: 3px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 187.5px 8px; transform-origin: 187.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e coordinate in each row given in ascending numerical order.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 41px 8px; transform-origin: 41px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 271.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 135.75px; text-align: left; transform-origin: 384px 135.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 328px;height: 266px\" 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\" 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block-size: 40.8667px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 20.4333px; transform-origin: 404px 20.4333px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 212px 8.5px; tab-size: 4; transform-origin: 212px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ex = [0 -0.5 0.5 -1 0 1 -1.5 -0.5 0.5 1.5 -2 -1 0 1 2]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 140px 8.5px; tab-size: 4; transform-origin: 140px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ey = [1 2 2 3 3 3 4 4 4 4 5 5 5 5 5]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function [x,y] = tripoints(n)\r\nx = n; \r\ny = n;\r\nend","test_suite":"%% n = 2\r\n[x,y] = tripoints(2);\r\nassert( all(abs(x - [0 -0.5 0.5]) \u003c 1e-8) )\r\nassert( all(abs(y - [1 2 2]) \u003c 1e-8) )\r\n%% n = 3\r\n[x,y] = tripoints(3);\r\nassert( all(abs(x - [0 -0.5 0.5 -1 0 1]) \u003c 1e-8) )\r\nassert( all(abs(y - [1 2 2 3 3 3]) \u003c 1e-8) )\r\n%% n = 4\r\n[x,y] = tripoints(4);\r\nassert( all(abs(x - [0 -0.5 0.5 -1 0 1 -1.5 -0.5 0.5 1.5]) \u003c 1e-8) )\r\nassert( all(abs(y - [1 2 2 3 3 3 4 4 4 4]) \u003c 1e-8) )\r\n%% n = 5\r\n[x,y] = tripoints(5);\r\nassert( all(abs(x - [0 -0.5 0.5 -1 0 1 -1.5 -0.5 0.5 1.5 -2 -1 0 1 2]) \u003c 1e-8) )\r\nassert( all(abs(y - [1 2 2 3 3 3 4 4 4 4 5 5 5 5 5]) \u003c 1e-8) )\r\n%% n = 6\r\n[x,y] = tripoints(6);\r\nassert( all(abs(x - [0 -0.5 0.5 -1 0 1 -1.5 -0.5 0.5 1.5 -2 -1 0 1 2 -2.5 -1.5 -0.5 0.5 1.5 2.5]) \u003c 1e-8) )\r\nassert( all(abs(y - [1 2 2 3 3 3 4 4 4 4 5 5 5 5 5 6 6 6 6 6 6]) \u003c 1e-8) )\r\n%% n = 7\r\n[x,y] = tripoints(7);\r\nassert( all(abs(x - [0 -0.5 0.5 -1 0 1 -1.5 -0.5 0.5 1.5 -2 -1 0 1 2 -2.5 -1.5 -0.5 0.5 1.5 2.5 -3 -2 -1 0 1 2 3]) \u003c 1e-8) )\r\nassert( all(abs(y - [1 2 2 3 3 3 4 4 4 4 5 5 5 5 5 6 6 6 6 6 6 7 7 7 7 7 7 7]) \u003c 1e-8) )\r\n%% n = 8\r\n[x,y] = tripoints(8);\r\nassert( all(abs(x - [0 -0.5 0.5 -1 0 1 -1.5 -0.5 0.5 1.5 -2 -1 0 1 2 -2.5 -1.5 -0.5 0.5 1.5 2.5 -3 -2 -1 0 1 2 3 -3.5 -2.5 -1.5 -0.5 0.5 1.5 2.5 3.5]) \u003c 1e-8) )\r\nassert( all(abs(y - [1 2 2 3 3 3 4 4 4 4 5 5 5 5 5 6 6 6 6 6 6 7 7 7 7 7 7 7 8 8 8 8 8 8 8 8]) \u003c 1e-8) )\r\n%% n = 12\r\n[x,y] = tripoints(12);\r\nassert( all(abs(x - [0 -0.5 0.5 -1 0 1 -1.5 -0.5 0.5 1.5 -2 -1 0 1 2 -2.5 -1.5 -0.5 0.5 1.5 2.5 -3 -2 -1 0 1 2 3 -3.5 -2.5 -1.5 -0.5 0.5 1.5 2.5 3.5 -4 -3 -2 -1 0 1 2 3 4 -4.5 -3.5 -2.5 -1.5 -0.5 0.5 1.5 2.5 3.5 4.5 -5 -4 -3 -2 -1 0 1 2 3 4 5 -5.5 -4.5 -3.5 -2.5 -1.5 -0.5 0.5 1.5 2.5 3.5 4.5 5.5]) \u003c 1e-8) )\r\nassert( all(abs(y - [1 2 2 3 3 3 4 4 4 4 5 5 5 5 5 6 6 6 6 6 6 7 7 7 7 7 7 7 8 8 8 8 8 8 8 8 9 9 9 9 9 9 9 9 9 10 10 10 10 10 10 10 10 10 10 11 11 11 11 11 11 11 11 11 11 11 12 12 12 12 12 12 12 12 12 12 12 12]) \u003c 1e-8) )\r\n%% n = 15\r\n[x,y] = tripoints(15);\r\nassert( all(abs(x - [0 -0.5 0.5 -1 0 1 -1.5 -0.5 0.5 1.5 -2 -1 0 1 2 -2.5 -1.5 -0.5 0.5 1.5 2.5 -3 -2 -1 0 1 2 3 -3.5 -2.5 -1.5 -0.5 0.5 1.5 2.5 3.5 -4 -3 -2 -1 0 1 2 3 4 -4.5 -3.5 -2.5 -1.5 -0.5 0.5 1.5 2.5 3.5 4.5 -5 -4 -3 -2 -1 0 1 2 3 4 5 -5.5 -4.5 -3.5 -2.5 -1.5 -0.5 0.5 1.5 2.5 3.5 4.5 5.5 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 -6.5 -5.5 -4.5 -3.5 -2.5 -1.5 -0.5 0.5 1.5 2.5 3.5 4.5 5.5 6.5 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7]) \u003c 1e-8) )\r\nassert( all(abs(y - [1 2 2 3 3 3 4 4 4 4 5 5 5 5 5 6 6 6 6 6 6 7 7 7 7 7 7 7 8 8 8 8 8 8 8 8 9 9 9 9 9 9 9 9 9 10 10 10 10 10 10 10 10 10 10 11 11 11 11 11 11 11 11 11 11 11 12 12 12 12 12 12 12 12 12 12 12 12 13 13 13 13 13 13 13 13 13 13 13 13 13 14 14 14 14 14 14 14 14 14 14 14 14 14 14 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15]) \u003c 1e-8) )\r\n%% n = 22\r\n[x,y] = tripoints(22);\r\nassert( all(abs(x - [0 -0.5 0.5 -1 0 1 -1.5 -0.5 0.5 1.5 -2 -1 0 1 2 -2.5 -1.5 -0.5 0.5 1.5 2.5 -3 -2 -1 0 1 2 3 -3.5 -2.5 -1.5 -0.5 0.5 1.5 2.5 3.5 -4 -3 -2 -1 0 1 2 3 4 -4.5 -3.5 -2.5 -1.5 -0.5 0.5 1.5 2.5 3.5 4.5 -5 -4 -3 -2 -1 0 1 2 3 4 5 -5.5 -4.5 -3.5 -2.5 -1.5 -0.5 0.5 1.5 2.5 3.5 4.5 5.5 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 -6.5 -5.5 -4.5 -3.5 -2.5 -1.5 -0.5 0.5 1.5 2.5 3.5 4.5 5.5 6.5 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 -7.5 -6.5 -5.5 -4.5 -3.5 -2.5 -1.5 -0.5 0.5 1.5 2.5 3.5 4.5 5.5 6.5 7.5 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 -8.5 -7.5 -6.5 -5.5 -4.5 -3.5 -2.5 -1.5 -0.5 0.5 1.5 2.5 3.5 4.5 5.5 6.5 7.5 8.5 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 -9.5 -8.5 -7.5 -6.5 -5.5 -4.5 -3.5 -2.5 -1.5 -0.5 0.5 1.5 2.5 3.5 4.5 5.5 6.5 7.5 8.5 9.5 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 -10.5 -9.5 -8.5 -7.5 -6.5 -5.5 -4.5 -3.5 -2.5 -1.5 -0.5 0.5 1.5 2.5 3.5 4.5 5.5 6.5 7.5 8.5 9.5 10.5]) \u003c 1e-8) )\r\nassert( all(abs(y - [1 2 2 3 3 3 4 4 4 4 5 5 5 5 5 6 6 6 6 6 6 7 7 7 7 7 7 7 8 8 8 8 8 8 8 8 9 9 9 9 9 9 9 9 9 10 10 10 10 10 10 10 10 10 10 11 11 11 11 11 11 11 11 11 11 11 12 12 12 12 12 12 12 12 12 12 12 12 13 13 13 13 13 13 13 13 13 13 13 13 13 14 14 14 14 14 14 14 14 14 14 14 14 14 14 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22]) \u003c 1e-8) )\r\n","published":true,"deleted":false,"likes_count":2,"comments_count":0,"created_by":571375,"edited_by":287,"edited_at":"2022-10-24T13:24:07.000Z","deleted_by":null,"deleted_at":null,"solvers_count":89,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-09-30T18:13:58.000Z","updated_at":"2024-12-26T13:12:01.000Z","published_at":"2022-10-24T13:13:29.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a natural number \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, return two \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\\frac{n(n+1)}{2}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e-element vectors, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ey\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, containing the coordinates of a triangular arrangement of points, where:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ethere are \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e rows of points\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ethe \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ek\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003eth row contains \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ek\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e points\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eall points in the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ek\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003eth row have \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ey = k\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ethe \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e coordinates in each row are equally spaced a distance of 1 and centered at 0\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe points should be given in order, row 1 to row \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, with the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e coordinate in each row given in ascending numerical order.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"266\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" 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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"}],"no_progress_badge":{"id":53,"name":"Unknown","symbol":"unknown","description":"Partially 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