Problem 52343. ICFP2021 Hole-In-Wall: Solve Score=0, where number of Figure Vertices = Hole Vertices + 1

Created by Richard Zapor

Solve Later

{"parts":[{"partUri":"/matlab/document.xml","contentType":"application/vnd.mathworks.matlab.code.document+xml","content":"<?xml version=\"1.0\" encoding=\"UTF-8\"?><w:document xmlns:w=\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\"><w:body><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>The </w:t></w:r><w:hyperlink w:docLocation=\"https://www.icfpconference.org/\"><w:r><w:t>ICFP</w:t></w:r></w:hyperlink><w:r><w:t> held its annual 3-day contest in July 2021 with </w:t></w:r><w:hyperlink w:docLocation=\"https://icfpcontest2021.github.io/\"><w:r><w:t>Hole-In-Wall</w:t></w:r></w:hyperlink><w:r><w:t>. Contest </w:t></w:r><w:hyperlink w:docLocation=\"https://icfpcontest2021.github.io/spec-v4.1.pdf\"><w:r><w:t>Specification</w:t></w:r></w:hyperlink><w:r><w:t>.</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>The contest folds the figure in Red to fit within the hole shown in light grey </w:t></w:r><w:customXml w:element=\"image\"><w:customXmlPr><w:attr w:name=\"height\" w:val=\"201\"/><w:attr w:name=\"width\" w:val=\"208\"/><w:attr w:name=\"verticalAlign\" w:val=\"middle\"/><w:attr w:name=\"altText\" w:val=\"\"/><w:attr w:name=\"relationshipId\" w:val=\"rId1\"/></w:customXmlPr></w:customXml></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>This Challenge is to solve ICFP problems 12, 15, 20, 25, 26, and 39 according to the </w:t></w:r><w:hyperlink w:docLocation=\"https://icfpcontest2021.github.io/spec-v4.1.pdf\"><w:r><w:t>Specification</w:t></w:r></w:hyperlink><w:r><w:t> when given the hole vertices in hxy, original figure vertices in pxy, segment matrix mseg, and epsilon. The hxy matrix is [N+1,2] where N is number of hole vertices. A repeat of the first vertex occurs for drawing the hole.  The pxy(original) and npxy(final) matrices are [P,2] where P is the number of figure vertices. The mseg indicates connected vertices that must maintain a length as a function of epsilon from the original length. The final figure vertices must be integer thus the allowed fuzziness of segment lengths. ICFP problem 47 is of this form but with 10 hole vertices a brute force method may take 180 seconds so this will be a separate challenge.</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>Valid is 1) all npxy vertices on or inside the hole, hxy 2) all lengths squared of npxy segments must match the pxy segments within an allowed epsilon, abs(Lsqr(npxy,seg(i,:))/Lsqr(pxy,seg(i,:))-1)&lt;= epsilon/1000000.  Lsqr is length squared.</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:hyperlink w:docLocation=\"https://www.mathworks.com/matlabcentral/cody/problems/52308\"><w:r><w:t>Score</w:t></w:r></w:hyperlink><w:r><w:t> is sum of minimum square distances to the figure from each unique hole vertex. </w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:rPr><w:b/></w:rPr><w:t>npxy=Solve_nPeqnH1(hxy, pxy, mseg, epsilon)</w:t></w:r><w:r><w:t>  </w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>This challenge set all have optimal Scores of zero. The npxy vertices set must contain an nchoosek(1:nP,nP-1) permutation of the hole vertices as number of figure vertices,nP, equals hole vertices, nH, plus one.</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>The function template includes routines to read ICFP problem files and to write ICFP solution files.</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>The ICFP 2021 Hole In Wall contest site has enabled a public user login to allow submissions. A login must be created to access all the problems and to submit solutions. Solutions are simple text files. Other challenges will show reading files, drawing figures, and producing submission files. To fully access the ICFP/Problems site use </w:t></w:r><w:hyperlink w:docLocation=\"https://poses.live/register\"><w:r><w:t>Register Team</w:t></w:r></w:hyperlink><w:r><w:t>. Anyone can select </w:t></w:r><w:hyperlink w:docLocation=\"https://poses.live/problems\"><w:r><w:t>Problems Page</w:t></w:r></w:hyperlink><w:r><w:t> and then click problem numbers to see the puzzles and to download problem 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","relationship":null}],"relationships":[{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/document","target":"/matlab/document.xml","relationshipId":"rId1"}]}

<div 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; "><div style="block-size: 672px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 336px; transform-origin: 407px 336px; vertical-align: baseline; "><div 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; "><span 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: 14px 8.05px; transform-origin: 14px 8.05px; unicode-bidi: normal; "><span style="">The </span></span><a target='_blank' href = "https://www.icfpconference.org/"><span style=""><span style="">ICFP</span></span></a><span 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: 146.65px 8.05px; transform-origin: 146.65px 8.05px; unicode-bidi: normal; "><span style=""> held its annual 3-day contest in July 2021 with </span></span><a target='_blank' href = "https://icfpcontest2021.github.io/"><span style=""><span style="">Hole-In-Wall</span></span></a><span 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: 29.95px 8.05px; transform-origin: 29.95px 8.05px; unicode-bidi: normal; "><span style="">. Contest </span></span><a target='_blank' href = "https://icfpcontest2021.github.io/spec-v4.1.pdf"><span style=""><span style="">Specification</span></span></a><span 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: 1.95px 8.05px; transform-origin: 1.95px 8.05px; unicode-bidi: normal; "><span style="">.</span></span></div><div style="block-size: 201px; 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 100.5px; text-align: left; transform-origin: 384px 100.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span 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: 230.267px 8.05px; transform-origin: 230.267px 8.05px; unicode-bidi: normal; "><span style="">The contest folds the figure in Red to fit within the hole shown in light grey </span></span><img class="imageNode" style="vertical-align: middle;width: 208px;height: 201px" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAaAAAAGRCAYAAAAjEGdRAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAADwuSURBVHhe7d15vFVj///xUCmNKKGQSEUyRVGqO4TMlZRonmhAiMTXnbHTPA9I1E0KlaEyJJQxyZhGp9OZOvPQmcfPd1/7WNpn9zl777X3Gq5rrfcfz8fv9/jeXfvsvfZa62Wdc11rVXv5xWcIAADAaggQAADYAgECAABbIEAAAGALBAgAAGyBAAEAgC0QIAAAsAUCBAAAtkCAAADAFggQAADYAgECAABbIEAAAGALBAgAAGyBAAEAgC0QIAAAsAUCBAAAtkCAAADAFggQAADYAgECAABbIEAgrelTJtG6fr3px84dac3A/uy/AQB1IUAgpbX9+1BJjepE1ar9K7duHXpt/Ej23wOAehAgkM76e3pR6QknVIqPpvDEE2nxo+PYcQCgFgQIpLJy5OAq46PJbtiA5k16hB0PAOpAgFxu1owX2P+7HUR8imrWZKPjL61xI0QIQHEIkMvt+OEL+mzje+z/ZqX3BvSlpDOasLGpCiIEoDYEyMXWrnmTDv39m9emj9fQtJf/y/47s+m58vGHCAGoCwFyqaWLZtGvO77+N0B2RSiS+GgQIQA1IUAu9fknayvFx44IVfza7XQ2KnodatGc3ho+kP05ACAnBMiFVv3vVYret5MNkGBFhML5m08wiBCAWhAgl5k3eyr9+N3nbHh8mRkhPVc+BbVq0d8tz2P/Nw4iBKAOBMhlPv7gHTY4nE0fGR8hPVc+Ij6f39LDO25b9y7sv+EgQgBqQIBc5I1lC2j3Hz+wsamKkRHSe+WjxUeDCAE4CwLkEtOjptDWLzewkQnGiAiFe+XjDxECcA4EyCXWvnt0zU84IolQpFc+/hAhAGdAgFzAu+bn58prfsIRToSMuvLxhwgBqA8BcoGq1vyEQ0+EjL7y8YcIAagNAXK4YGt+whFKhMy68vGHCAGoCwFysFDX/IQjUITMvvLxpydCMZ4I/Q8RApACAuRgG3Ss+QkHFyGrrnz8IUIA6kGAHCqcNT/h8I2Q1Vc+/hAhALUgQA4UyZqfcIgIrbu/ny1XPv4QIQB1IEAOFOmaH71SlsyhbM/JnDvJ+zMzPhpECEANCJDDGLXmJ1QiPkVtWrEnd39WxEeDCAHIDwFymM0GrvkJxhufC+WLjwYRApAbAuQgZqz5qYqsVz7+ECEAeSFADmHmmh9/sl/5+EOEAOSEADmE2Wt+NHqufIrr1KEvbr2Jfb+WegERApARAuQAbyxbaMmaHz1XPmX161HG0xNp40erKSrEe8eZKpwIjUCEAMyEAClOrPnZZsGaHz1XPlp8tLFqR2gQ/1oAEDEESHFWrPkJ58rH/zXkidDTiBCAJBAghVWs+dl6zMneSJFc+fiTKULfIEIAtkOAFGb2mh8jrnz8yRKhqYgQgO0QIEWZvebHyCsff4gQAAgIkILmzTF3zY8ZVz7+ECEAQIAUtOFD89b8mHnl4w8RAnA3BEgx3jU/f5qz5seKKx9/iBCAeyFACjFzzY+VVz7+ECEAd0KAFGLWmh8746NBhADcBwFShFlrfmSIjwYRAnAXBEgRZqz5kSk+mooIPctuAyshQgDmQ4AUYMaaHxnjo0GEANwBAZKcWPOz3eA1PzLHR4MIATgfAiQ5o9f8qBAfDSIE4GwIkMSMXvOjUnw0iBCAcyFAkjJ6zY+K8dEgQgDOhABJau27K9iTcThUjo8GEQJwHgRIQmLNz28GrflxQnw0ykboPEQIgIMAScioNT9Oio8GEQJwDgRIMhVrfn5hT756ODE+GkQIwBkQIIkYtebHyfHRSBWh/+iJ0LmIEMA/ECCJGLHmxw3x0SBCAGpDgCRhxJofN8VHI1eErmW3NQcRAkCApGDEmh83xkeDCAGoCQGSQKRrftwcHw0iBKAeBMhmSxdHtuYH8TkKEQJQCwJks82fhr/mB/E5FiIEoA4EyEbeNT/7w1vzg/hUDRECUAMCZJNI1vwgPsEhQgDyQ4BsEu6aH8QndN4IvYQIAcgKAbKBWPOzJ4w1P4iPfogQgLwQIIuFu+YH8QkfIgQgJwTIYuGs+UF8IocIAcgHAbJQOGt+EB/jqBqhg54IrUSEwIEQIAtt/nQde2KsCuJjPEQIQB4IkEXEmp+DOtb8ID7mQYQA5IAAWUDvmh/Ex3yIEID9ECAL6Fnzg/hYR5oIPY8IgTshQCbTs+YH8bGe0hEaiQiB2hAgE82Iei7kNT+Ij302fogIAdgBATJRqGt+EB/7IUIA1kOATBLqmh/ERx6IEIC1ECCThLLmB/GRjzwRmhxGhAazrwUgKwTIBKGs+UF85IUIAVgDATJYKGt+EB/5IUIA5kOADBZszQ/iow5ECMBcCJCB3ng98JofxEc9skQoyhOhbxEhcBgEyCDB1vwgPupChADMgQAZJNCaH8RHfYgQgPEQIAMsXTy7yjU/iI9zIEIAxkKADFDVmh/Ex3kQIQDjIEARqmrND+LjXIgQgDEQoAjM96752XzMCQrxcb4NiBBAxBCgCHBrfhAf90CEACKDAIWJW/OD+LiPiNBURAggLAhQGLxrfr6qvOYH8XEvRAggPAhQGPzX/IQbn7+jf6dNcftocVIMPZZ+mG7LyaSOBTl0YVE+NSspOsaVBbnUOT+HBmSn0bNpCbTicDT9cOivSu8F7KFshM5HhMA+CJBOr/it+dEbnz3/fcobj655R6hOWRl5/peIiTj1OZJBM1NiESQbIUIA+iBAOvmu+dETn/wG9WnW9Cg2IEaqV1ZKPXOz6KXUeNoWu7vSCRLMJyamIEIAoUGAdPBd86MnPpkNG9LDs2ezwTCTuMIampVKO2J2HXOiBPNIFaFuiBDICwEKke+aHxXi4+u84kKakJFEW3FFZBlECCA4BChE2pof1eLj69LCPO/fn37BFZEl1I1QC0QILIEAheBN75qfH5WOj69r8494JywciP6dPXGCcRAhgKohQEFoa36cEh9fg7LT6NtD+LWc2RAhAB4CFIRY8+PE+GjEjLl1CfvZEycYR64IdfZ8+Z5vPwSIEJgJAQpArPk5OPNFx8ZH074gl15JimFPnGAcRAigMgQogN+efdLx8dGcU1xEL6TGsydOMA4iBHAUAlSFrY+McU18NLXLy+ihjCT68+Cf7MkTjIEIAVRAgBgbhg2kvJbnsQehP6fEx9fYzGT2xAnGQYQAEKBjvDegL2Wf25w9+Pw5MT5CzfJyeg6/jjMdIgRuhwD5EPFJP7sZe9D5c2p8NOIGp0swMcF0FRH6P3Z/tBIiBHZAgP4h4pN85unswebP6fHRXF6QR2sxRdt0iBC4FQLkIeKTdEYT9iDz55b4aG7KzaJvsFjVdIgQuJHrA4T4BDcwO432Rf/BnjjBOIgQuI2rA4T4hC4qJY49aYKxECFwE9cGCPHR5+r8HPopBk9btQIiBG7hygAhPuGZnJbInjDBeIgQuIHrAoT4hK9tYT5tid3DnjDBeNJE6Dl9EYpGhCBErgoQ4hO58RlJ7MkSzKFyhFaMQoQgMNcECPExhrhp6fp4rA2yEiIETuWKACE+xup3JJ09UYJ5ECFwIscHCPExXpOSYtoct5c9UYJ5ECFwGkcHSE98chs0QHx0+G9aAnuSBHMhQuAkjg2QnvgU169Pk2bNYk+0wLsuL5s9QYL5ECFwCkcGSE98yurXo00vTmFPshDY17G4R5xd1I7QEPa1wH0cFyC98cl4eiLdnJvFnmAhsCn4NZytvBF6UYYIPYUIQVgcFaBw4rMzZhc1LSliT7AQWO8jGeyJEayDCIHKHBOgcOIjDuA3D0ezJ1cI7oKiAtqLu2TbDhECVTkiQOHGRxD3N/P8LxAm3JpHDogQqEj5AEUSH6HPkQz2xAqhmZt8qNL2BPsgQqAapQMUaXyEqwpy2RMrhGYC7g0nFVkiNM0Toe8QIQhC2QAZEZ990b97V/V7/hWESVxB+m9XsBciBKpQMkBGxEf44dBf7EkVQteuMJ/dtmAvRAhUoFyAjIqP8EncXvakCqE7v7iQ3bZgP0QIZKdUgHTFp17g+AhrE/azJ1UIXdOSYnbbghwQIZCZMgHSE5+SunWCxkd4K/Fv9qQKoTu5tITdtiAPRAhkpUSA9MSnuM5JIcVHWJ14gD2pgj7ctgW5IEIgI+kDpCc+RbVrU8Jj49gDkPMG7oIQsXplpey2Bfls+AARArlIHSA98SmoVYv2jR7KHnhVWZOAK6BInVaKvwGpRNkItUSEnEjaAOmNz877+9HB/b+wB11VPo7fx55UIXTNi4vYbQvyQoRAFlIGSG98tt51G23/fjN7sAXy7aHd7EkVQocAqUmqCHVFhNxKugDpjc/nt/SgjR+uZg+yYH6O2UW1y8vYEyuEpkcunoyqKkQI7CZVgMKJz5uvL6Q9f/7IHmChaFVUwJ5YITTDs1LY7QpqQITATtIEKJz4zJj2HG37aiN7YIXqhrxs9sQKoXkuNZ7drqAORAjsIkWAwomPGLfuvRXsAaXH0KxU9sQKoRFrqbjtCmpBhMAOtgco3Pi8sng2/bZzK3sw6TEtJY49sUJwDcpKaWvsbna7gnrUjdB5iJCibA1QuPERvvh0HXsQ6SVuSFqzvJw9wUJgXfKPsNsU1IUIgZVsC1Ak8Xnnrdd0r/kJpD0eSheWsZnJ7PYEtSFCYBVbAhRJfObPiQprzU8gA7LT2BMsBCZu5sptT1Dfx1JFqJNnh/PscSFAhNRieYAiiY8Q7pqfQF5JimFPsFC1NkUFtDNmF7s9wRkQITCbpQGKND6Rrvmpyl8H/6DLC/LYEy3wRmD9jysgQmAmywIUaXzEmp9vIlzzE8j4jCT2RAu8FYej2e0IziMi9DIiBCawJECRxkcwYs1PIOK+cNUxGy4kFxbls9sQnAsRAjOYHiAj4lOx5mcbe2AYaRAmI4RkZkosu/3A2RAhMJqpATIiPoJRa36CWZuwn5qVFLEnXajQMzeLDkT/zm4/cD5ECIxkWoCMio/Ra36CGZOZzJ54gejE8nJamhTDbjdwD0QIjGJKgIyKz/y5UfSTwWt+gvksbi+1xh2yWX2PpLPbDNwHEQIjGB4go+IjbPzI+DU/oXgi/TB7AnazU0tLsPAUKpEmQlMQIVUZGiAj4/Pm64tozy7j1/yE4rtDu3F7Hj/iruHctgJ3UzpCoxEhuxkWICPjY/aan1AsSD7Enojd6BTP1c8O3PUAqvDxB6s8xy0iBPoZEiAj4yOYveYnVA9iQgI19sRnrifG3PYB0CBCEI6IA2R0fKxa8xOKXz3/1d/nSAZ7YnaLyWmJ7LYB8KdqhP5GhGwTUYCMjo9g1ZqfUIlZceK5N55P4Trifm8xzDYBqIrKEXoTEbJc2AEyIz5Wr/kJ1f8So713f/Z8Gte4IyeTfor5i90eAIEgQhCqsAJkRnzsWPOjx6yUWO9UZM+ncryr83NoQ/w+djsAhAIRglDoDpAZ8RHsWvOjx0up8Y6/YamYdLAldg/7+QH0QIQgGF0BMis+dq750WuG50qolUN/HXdjbja9l3CA/dwA4UCEIJCQA2RWfGRY86OXeBZO5/wc9iSuqvuy02hr7G728wJEQu0IDWVfC4wRUoDMio+w7r2V7E4ru0/i9lKvHPWnaNctK6MJGUm0O/oP9nMCGEGeCE1ChCQSNEBmxkes+fldkjU/4fg5ZheNzkyh45kTuwpaFBfSy6lx7GcDMBoiBP4CBsjM+AiyrfkJl3hAm7hdjWdLKEM81XRTHGa6gbUQIfBVZYAq4nM6+2X4Cyc+FWt+fmV3UhV9EbeHxmUm09nFcj/QrkNBrnc2366D+JUb2AMRAg0bILPjI/uan0isS9hPg7NS6eTSUjYAdrmwqIAmpSfSD4ewuBTshwiBcEyA1t/Ti47Ur89ufH/hxEdQYc1PpMRMud5HMmxfNyQeMT7Wc2X2edxe9n0C2KUiQvw5wkp6I3SkQX1aOXwg+1qgT6UAre3fh8qPO47d6P7Kjj/e++99x4dCrPnZq8iaHyOIdTX9jqRTnbIyNhBmaV5cRA9nJOExCiA1WSIkbL+mg+fg8Rw9IRDnyWVjR7CvA6H7N0DTPf8VUFKjOrux/YUbHxXX/BhlX/TvNCc5lnrmZlH9MnN+PSeudkTssJgUVKJqhIpr1GBfA0L3b4DW9evNbmR/4cZHUHXNjxnWx++nJ9MPU4/cbO+dFfT+qk5E7LLCPG9wxCy8bw9hESmoS5YIif8Q/75L6L+OW9e/N/s6EJp/A/Rj547sBvZ3oFXLY14kFLNnvkj7d+9gdz6oIO7BtjrxAL2adNAbFX9vJf7tvbrBr9XAiZa/toA9d1gt6vnJlHHqKez5z9+udm3Z14DQ/Bug9wf0ZTcwR1ym+r5IKL74zBlrfgDAeNu+2kAzop5jzx1WEvHZ07YNe97jpDZpzL4OhKbSJITcunXYjczREyHvmp8DzlnzAwDG2fPnj/Tm6wvZc4eV5k16hHZedQV7vquKmIzw9tD72NeD4CoF6I0Hhnn/sMZtaE4oEXLymh8AiNyGD99hzx1W0nvl40tM4eZeE4KrFCDhreEDKTnE2+8I27p3qTTenxvW/ABAeLZ7/uN0/pyp7LnDKuFc+fhKbHYmzXpmIvvaENgxARJEhA6dew67sTlVRchta34AIHTi8fur3nqNPXdYJdL4aN6/92729SEwNkBCpBFy85ofAAhu86frKp0zrGZUfISfO7RnfwYEVmWAhEgihDU/AFCV337e6n0ci+/5xkp645N5ysns/12T3uhUWjjxIfZnQdUCBkgIJ0KvLFH7OT8AYK61765gzzdW0Bufv9pdRJt73sD+b7429Lqd/XlQtaABEvRGKPq+e+gQpl0DAMPONT/hxOeVhx+gOZMfC/qEgD8vwaJUvUIKkKA3QlnjRyNCAFCJnWt+wo2PNv6Ha69m/51GrKN8bfyoSj8TAgs5QAIiBACRsGvNT6TxEVYPvpf9t742h/F4GjfTFSDBG6EWiBAA6GPXmh8j4iOIxarB/gN8f+vw7pXpVroDJCBCAKCHWPMjbsnFnU/MZFR8NF9f340dpympXp1WjhzMjoVjhRUgoSJCzdkvgYMIAbiXHWt+jI6PsGLUECquGfh2Zduu68qOhWOFHSABEQKAYOxY82NGfDT72lzAvoYmtvnZ3sd8c2OhsogCJHw0YSzltr+M/SI4iBCAu1i95sfM+Aif3XoT+zq+1gzsx46FyiIO0Befraekt5dRQccr2S+CgwgBuIPVa37Mjo/w6kMPUE79euzrabZ30v/MNDeKKEDij4ox/4QEEQIAX1av+bEiPpo/LmvHvqYm+fTTaO6kCexYOCrsAHHP+UGEAECz4cPV7LnDDFbGR/iozx3s6/r6oO9d7Fg4KuwAVfWcH90RGjcKEQJwGCvX/FgdH2HBEw9TWuNG7OtrfrviUnYsHBVWgII95wcRAnAvK9f82BEfzY4g57jshg1o6SNj2LFQQXeAZk57PqTn/CStQoQA3MiqNT92xkd4776+7M/x9cntPdmxUEF3gPQ85ydp1euIEICLWLXmx+74CDOffYISzmrK/jzNnovasGOhgq4AhfOcH0RITfGHPqOEQ5sqiYv5mv23AJp1Fqz5kSE+mm+7dWZ/pqawVi1648Fh7FjQGSCx5ofb6YJBhOQUd/AbSkmaQ1kZoykv5yYqKmpF5WUnkedLCKistCEVFrajnCO9KDNtAiUlLqPY6O3szwD3sGLNj0zxEd4adj+VH388+7M1X/bozo4FHQHyXfMTDkRIDsmJS+lI1gBvbDwb2jDl5SdSQUF7b8wS495nfzY4lxVrfmSLjya65Xnsz9ccPO9cdhyEGKAFzJqfcCBC9khOfI2yM4dTUWFbNh7GO54K8q7xXh0djnuXfU/gLGav+ZE1PsKWm65n34OvVUPvY8e6XUgBqmrNTzgQIeskJy6m3CO3e65OajCRsEZpSRNP/AZ7QrSGfY+gPrPX/MgcH+H1MSOooHZt9r1ovuvaiR3rdkED9ObywGt+woEImSspYQUdye7v/VuNZwNKobioBWVljKGE2A3sewY1mb3mR/b4aHZffCH7fjSJzc6kWc9MZMe6WcAAedf8fB18zU84worQfkQoEPG3F/GrtpKSpmwEZFBUeDFlpE2kuJiv2M8AajFzzY8q8RE23XkL+558rb33bnasmwUMkJ41P+FAhAwSvdP795aysnrsSV9GJcVnUcrh+fznASWYueZHpfgIix8dS5knN2Tfm2Znh/bsWDerMkBzZ71M+3fvYHc8I4UXoV/Y13IjcdUj/s7j2TjKETPnsjJGUtzBb9nPBnJ7b/Vy9twRKdXio/k1yHPR0hudQgsfH8+OdasqAzRvzlT6cvOH7I5nNG+ErkaE9EpOfIXy8zqzJ3eV5GT3poRYa/Y1MIZ3zc8049f8qBofYX2/Xux79LWh123sWLcK+Cs4REheaclTqaiwDXtCV1F+XjdKSljOflaQi1lrflSOjzBn8qOUdMbp7HvV7LqkLTvWrQIGSLA+QlexXxzHrRHKSHucSktOY0/kKhMTFFKTZrCfGeSx0YQ1P6rHR/Nj56vZ96vJrVuHXvOct7ixbhQ0QAIiJI/srEHsydspxN+FECF5mbHmxynxEVYPupd9z7429+zBjnWjkAIkIEL2y8p4gD1pO01p6amUlvwiuw3APmas+XFSfISo5yfToXPPYd+75kCrluxYNwo5QAIiZJ/01KepvKw2e8J2ouKiCyg5cQm7LcAeRq/5cVp8NFuv78a+f01J9eq0csQgdqzb6AqQgAhZLzVpNpUUN2NP1E5WkH81JeJeclL4baexa36cGh9hxaghVFyjBvs5NNu6d2HHuo3uAAmIkHXEbXUKCy5hT9BukJtzK8XHbGG3DVhn3XvGPefHyfHR7GtzAftZNHHnnEXTp0xix7pJWAESECHzJcR+THm53dkTs5uIiRfc9lGJWDAsJldkpY/1PntJPLqiqPBCKik58xiFBZd5rv46Uk723d7bFok7RogHBHKva4VtX200bM2PG+IjfH7rjezn8bVmYD92rJuEHSABETKXOFF5Pgx4iL+BcdtIViI4Ih75uf8x7BZJIk7irhdpKc9bFiQj1/y4JT7Cqw+Nppx6ddnPpdneqQM71k0iCpAgdYTGqhuhtOSX2JOQWxUXN6fD8e+w20oWSfErvXf8LizwnGSZz2CksrK6nqvjGzxhfsbUO4wbtebHTfHR/HHpxexn06Q0Oc2zXSawY90i4gAJiJCxxL3R8vOuZU88bnYkayC7vex2OH6V91dm3Hu2gniMunjKbXzMF+z7C1fFmp8o9pjXw43xET7ucwf7+Xx92PcudqxbGBIgAREyTnrqZPZE43alpY0oOfFVdpvZISlxGeUc6U3l5XJMjy8pPsf7SHQj7qtn1Joft8ZHWPDEw5TWuBH7OTW/XXEpO9YtDAuQYGmE3tEboZFKREj8br+w4HL2BAPVPCf8u9jtZqXD8aspO3OQJ4iN2fdoNzG5ISPt0YiuiL4wYM2Pm+Oj2RHkTv/ZDRvQ0kceZMe6gaEBEhChyGSmP8yeVKBCeXktSkmazW47s4m/tWRljKXi4hbse5NNQf6VlJ7yLMVG/8B+nqoYseYH8anw/oC+7Of19entN7Nj3cDwAAnWRmi5YyKUGLeOiopasScTOEr88T02+md2G5ql4tEXndj3Izu9j7uIdM0P4nPUzGefoISzmrKfW7PnotbsWDcwJUACIqSf+P295w1CCFKS5rDb0AxpyS9TUWFr9n2oItTHXXwT4ZofxOdY33brzH52TWGtE+mNB4axY53OtAAJiFDo4mK+Vv4kZ6XcnFvY7Wi0jLTHpP1bj17BHncR6ZofxIf39rD7qfy449htoPmqR3d2rNOZGiABEQpNanIUe9IAXmnpKabeJy4u5ivKzhzi+VnHH/OzVSYWs2akTmI/cyRrfhCfwKLPb8FuB83B886ll1/gxzqZ6QESEKHgxOwuzxsCHcRML25bRkrcxUDccYD7mU4gnrmUlTHSu95M+8yRrPlBfILbctN17LbwtWrIAHask1kSIAERqlrswe+9JwXPmwEdxD3TuO0ZifhDn1Jezo3sz3Oa7Mzh3s8cyZofxCc0y8cMp4Latdltovm+yzXsWCezLECC9BHaZ0+EUpNmsScICKystAElHNrIbtNwxEbvoCNZ97I/y4nKy2t4riKfCHvND+Kjz+62F7LbRXO46Rk0+5nH2bFOZWmABEToWNmZw9gTBARn5OO7M9PHsT/DyVJTTqM339D/cDTER79Nd9zCbhtfa/v3Ycc6leUBEiyP0DVyR8jO+4ipTkwU4LapXukp/6Wysvrsz3Cy776rRgsXnknTpw1kj1UO4hOexY+OpayTG7LbSCO2KzfWqWwJkCB/hHayr2W02OjtROUnsCcHCM6IvwOJ5+0UF5/Lvr6TRUdXo+XLq9HSpdVowfyWNG1q8FvCID6R+bX9Zex20mScegotenw8O9aJbAuQgAh53lfCCvbkAKER04oP/R3+Fevh+Lc9EWvPvraT5eVVo40bK+KjmTf3Mpr6UtV/g0B8Irf+nl7stvK1oddt7FgnsjVAgtsjhOf+RC6Suz+Lp45yr+l0O3dWjo9m9qwb+eMU8THEnKcepeQzmrDbTLOrXVt2rBPZHiDBzRHKyniQPUFA6JIPL2K3bTDiV29lZXXY13SyxMRqtGoVH6CFC5tR1NRxlY9PxMdQP3buyG43TV6dOrRs3Eh2rNNIESDB+gh1YL98jpkRcvKCR6uIR1Rz2zaY3Jye7Os5WVlZNdqyhY+PZs6s/xw9LhEfw60e1J/ddr4297yBHes00gRIcGOExJ2dPT8AIiDWsnDbNpDU5KnsazndX3/x0fG1aGEjmj51JOJjkqjnnqLY5uew21BzoNX57FinkSpAgtsilJ/XmT1RQOgy08ez27YqcQe/82z3ruxrOVl6ejVat46Pjr9Xn7sS8THR1uu7sdtRU1r9BPrfCP3rs1QjXYAEN0WosMBzkDMnCwhdVuYIdttWJT31GfZ1nE6s+eFi42/l9Gq069qaniGecSFAfPRbMWoIFdeowW5PzTfdu7BjnUTKAAluiVCBC6cAG008R4nbtqzonVRSfBb7Ok7mu+YnEBGfv7p4xjD7PQfxCd/+1hew21QTd85ZNP2/k9ixTiFtgASpIzTGmAjhCihyeq6A0lKeY1/DycSan02b+OD4Qnys9fktN7Lb1de79/djxzqF1AESnB4h/A0ocnr+BuTGmW9VrfnxhfhY79WHRlNOvbrs9tX85DkfcWOdQvoACU6OEGbBRS7UWXDiAXbiQXbcazhVoDU/GsTHPn9eejG7jTUpTU6jeU8+wo51AiUCJDg1QlgHFLlQ1wFlpE1kxztVKGt+EB97fdzbc/wz29nXh3ffyY51AmUCJFgaodXWRAh3QohccuISdtv6y8vtwY53qmBrfhAf+y2Y+BClNT6V3d6a3y+/hB3rBEoFSHBahHAvuMglxH7MbltfcTFfU0lJU3a8E2VkBF7zg/jI4+eO7dltrsluUJ+WPhL8TuUqUi5AgtwRGqErQrgbdmRCvRu2uF8cN96pAq350Ruf/e1r0KuPDGGPRYjc+wP6stvd16e33cyOVZ2SARKcEiE8DygyoT4PKDNtAjveiQKt+dEbnwNXVqPVU6rR9Kjh7HEIkZv5f09QQjPP1Tmz/TV7L2zNjlWdsgESrI3QG6ZFCE9EDV925lB2m/pzy2SPQGt+wo2PGDtrZk/2GARjfNetM/sdaApPPJHeeGAoO1ZlSgdIcEKEsjOHsScTCC41aSa7Tf25ZcFvVWt+IomPMHf2NezxB8Z4e9j9VH7ccex3ofmqx9G7lDuF8gESVI9QatIs9mQCgZWWnkwJhz5ht6mv2OgdVFrShH0NJ6lqzU+k8RHmz2vDHntgnOjzW7DfhybmvOY09YWn2bGqckSABJUjFHvweyovP5E9qUDVQv37T3zMF+x4JxFrfr78snI0BCPiIyxa1Ig97sA4X954Hfud+HpnyAB2rKocEyBB+gjtrTpCOUfuYk8sUDU9d0DgxjsJt+bHqPgIixfXY485MM7yMcOpoHYt9rvRfN/FWb8KdVSABFUjlJocxZ5YgFdacponLOvYbenP6VPduTU/RsZHWLKkFnu8gbF2t23Dfj+aw03PoNlPP86OVZHjAiSoGCGxULKoqDV7goFjiVlt/tuwKsmJS9nXcAr/NT9Gx0dYsuR4mvriU+zxBsb55I6e7Hfka13/PuxYFTkyQIKKERLPtfH8AwhBUuKyY7ZfVcS/5V7DCfzX/JgRHw13nIGxlkwYQ1knN2S/K414Ui03VkWODZBgeYQ6RRYh8SuloqJW7IkGjsrLubnSdgsm5fBC9nVU57/mx8z4CFNfeoI9zsBYv7a/jP2+NBmnnkKLHhvHjlWNowMkyB+hnyu9Rmb6w+zJBiqUldXxBGVepW0WTFLC6+xrqc53zY/Z8VmypAZ7fIHxPrinF/ud+dp4163sWNU4PkCC7BGK9YlQ/KHPqLDgcvaEA9UoJ7tPpe0disPxb7OvpTLfNT9mx0dYsvgk9tgC48196lFKPr0J+91pdrW7iB2rGlcESLA+Qh3ZHYeT7Reh9NTJ7EnH7cTMt6SE0P/2o0k4tIl9PVX5rvmxIj7C4sUN2eMKzPFj58Dnj7w6J9GysSPZsSpxTYAEVSIUd/Bbys+7lj35uFl21qBjtnMo4mM2O2qhr7bmx6r4CAsWNGePKTDHmkH92e/Q1xc338COVYmrAiSoEiE8J6iy4uJz6XD8O8ds41AVF53Pvq5qtDU/VsZHmDf3MvZ4AnNMe+4pim1+Nvtdag5ccD47ViWuC5CgSoTycm5iT0JulJ769DHbVo/8vG7s66pGrPmxOj7C7FnOuxGm7LZe15X9PjWlJ5xA/xsxiB2rClcGSFAhQgmxGygv9zr2ROQm4f7qzdeRrAHsa6tErPl5Z4718RFmTO/LHkdgnhUjB1NJjers96r5pnsXdqwqXBsgQYUIidvIFBZcyp6Q3CA351aKj9nCblM90lOmsK+vivz8arTlbXviI+6CMH2q+n/wVtH+1i3Z71YTf/ZZNOO/T7JjVeDqAAkqREg8rqGk+Cz2xORkBflXe28kym1LvcTrlJd7/muS+Tkq+ONze+IjLFzYjD12wHyf33Ij+/36evf+e9ixKnB9gASpI/RgRYTE1OzyspPYk5MTFRddQMmJS9htGK7CgkvYnyW7pF+r0f7rPf9/Zv/gGBkfYe7cK9njBsz36vjRlFu3Lvs9a3665ip2rAoQoH+oECG33CuutPRUSkt+kd12kcjJvpv9eTIrS6hGCbd7/v/MfsExOj7CzBm92GMGrPHnpRez37UmtUljmv/kI+xY2SFAPiyN0JrwIiT+IO/5PziWWK+TmjSD3WaREq/L/UxpHa5GGfd4/l9mf+CYEZ/FixtQ1NQx7PEC1vi49+3s9+3rw7vvZMfKDgHyo0KEMtIe81wlNOZPWgorKrzYtPgIcQe/8fyMi9ifLR1PfAqHeP5fZj/gmBEfAet/7Ldg4kOU3uhU9nvX/H75JexY2SFADBUilJb8sudk6pznB4l1OkkJy9ltZKTszGHsz5eKJz402oP5/jlmxUfAr9/k8HOH9ux3rznSoD698vAD7FiZIUBVUCFCyYmveE7cnfiTmEJysntTQqw12zox7n32PUhDovgsXlzXcyw8fcyxAdZ7f8Dd7Pfv69PbbmLHygwBCkDuCA33RkicUMXTQT3/R+WIv/dkZYz03vuO2yZmkXYygkTxEWbPupE9LsB6M/9vIiU2O5PdDzR7L2zFjpUZAhSEChE6FL2TMtMmUFlZPf7EJiGxrinl8Hx2O5hNPB+otKQJ+75sI1l8FixoQVNfepQ9JsAe33XtxO4LmqITa9Kbo4eyY2WFAIXA2gi9GV6EPGPF1VB25nAqKWnKn+QkICYaZKRNpLiYr4757FbKzhzCvj9bSBYfYdaMO9hjAezz9tD7qfy449h9QvP1DWrdsw8BCpEqEfKOT1hBR7L7U1lpQ/6EZ4PiohaUlTHGe387389ql8Nx78pxh2wJ4zN/Xhua+uJT7HEA9jp4fgt2v9DEtGhOU19Q5+92CJAO0kdoz9EICcmJi71/Hyovr8Gf/CwgftWVnTnYc8JfU+m9ySAzfRz7ni0jYXzEo7dx41F5fXnjdey+4eudwQPYsTJCgHRSLUJCcuJr3l/NFRW25U+EhjueCvKv8f5dSlxp+L8fWYgnpdp2o1cJ4yNg3Y/clnuO8YJatdh9RPPDtdewY2WEAIVBxQhpkhOXeh9NUFTUij8xhknMaCsoaO+9XZD4WxT3s2WUmhzFfh5TSRqfJUtqUtTUsew+D/LY07YNu59oDp95Bs1++jF2rGwQoDBZHqEgz4j3FSxCGnFngJSkOd5oiIffiSiFcsNT8belwsJ2lHOkl/cqJylxGcVGb2d/hgosXZwqbXxq0awZt7L7Osjlkzt6svuKr3X9e7NjZYMARcAJEapK/KHPvL+i8hUX8zX7b1UnPlfukTv4YBhJ0vgIc2Z3Y/dxkM+SCWMoq2EDdp/R/HLV5exY2SBAEXJyhNxE/NqwwMy7Skgcn7lz29PUFyex+zfI6bcrLmX3G03GKSfTosfGsWNlggAZQP4I7WBfCyoTfx8z+m9jXhLHZ/681hT1svwnKqjsg3vuYvcdXxvvkv9XqgiQQRAhZxDPISotPYUPSTgkjs/CBc1oetQQdn8Guc19agIln96E3Yc0f7W7iB0rEwTIQIiQM6SnPk1UfgIfFD0kjo+YdDA9aji7H4MatgeZHZtf5yRaNnYkO1YWCJDBrI/Q1ezOx0GEQpeWMoWKi87jwxIKieOzYP55NGPafez+C+pYM7A/uy/5+uLmG9ixskCATIAIOUPK4UVUkN+BD0wgEsdn3txLaNrU0ex+C2qZ9txTFNv8bHaf0vx9wfnsWFkgQCZBhJxB3EIoN+dWPjQcSeOzZMkJNHd2J5r6khoLFCE0267ryu5XmrITTqC3hg9kx8oAATIRIuQM8TFbvPezE7cY8my8qkkan8WLG9DsWeo9rAyCWzlyMJVUr87uX5pv/nMtO1YGCJDJECHnSEt5vuo7jEsan0ULT6PpUWo9Iwb02d+6JbuPaeLPbkYznn2SHWs3BMgCUkfoAURIj8S4dZSVOYJKiptJHZ+FC86i2TNvxq/cXGDzLT3Y/czXe/fdw461GwJkEUTIWZISVtKRrP5UFt9AqviIK57Zs7pT1Mvj2f0QnOe18aMot24ddn/T/HT1VexYuyFAFrI0Qu8iQmaL/+ELyh94Lbs9OWbGZ/Hiht5JBtOmjmL3PXC2Py9py+5zmtTTGtP8Jx9mx9oJAbIYIuQMIj45997NbkeOWfFZvOhkmjO7C0W99Ai7v4E7bOh9O7vf+fqoj3yPWUeAbIAIqc3u+IirHfHguOlRg9n9C9xn4cSHKL3Rqez+p/n9snbsWDshQDaRO0LDEKEq6I3P3svOpzee7Ezz57Xx/n1m6ZLj2ahURdwyZ+HCM7zBmTXjDvxtB6r0c4f27D6oOVK/Hr3y8APsWLsgQDZChNSiNz4HPScE7oCfNvVBmj5tIM2Y3s8bFX/iNjni6ga/VgM93g9h3/zsNrnWgyFANkOE1KA3PoldrpHuvzbB2Wb930RKbHYmuz9q9rVpxY61CwIkAURIbnrjk37Df+itp7D+Bqz3XddO7D6pKapZk94cLc/CZARIEtZGaAUiFCK98cm99SbaOOMF9jsGMNvbQ+9j90tfX3v+A4kbawcESCLSR2i3uyKkNz55nvh8v2wh+90CWOXg+eey+6fmUIvmFPX8ZHas1RAgySBCcggnPnvXvkWvLpnDfq8AVvnyxu7sPurrncH3smOthgBJCBGyVzjxSfx8Pa1/byX7fQJYafmDw6mwVi12X9X8cO3V7FirIUCSsjxCnh2S21E5To5QuPH55uuNNHPa8+x3CWC1PRe1YfdXTdKZp9OcyfZPlEGAJIYIWSvc+OzdtZ1WLF/EfocAdvjk9p7sPutrXb/e7FgrIUCSQ4SsEW58xNiNH61mvzsAuyyZMIayGzZg913NL1dezo61EgKkAETIXJHE5yfP2AVzo9jvDcBOv11xKbv/ajJPOZkWPzqOHWsVBEgRiJA5IolPzIFfafXby9jvC8BuH/S9i92HfW2881Z2rFUQIIXIH6Gf2NeSVSTxEb74bD37PQHIYO6kCZRy+mnsvqz56+IL2bFWQYAUgwgZI9L4/L5zG9b8gPS2d+rA7s+a/JNq0+tjR7BjrYAAKQgRikyk8RGw5gdUsGZgP3af9rXlpuvZsVZAgBRlfYSuYXdejswRMiI+3jU/07HmB+Q3bcokijvnbHbf1vzd8jx2rBUQIIUhQvoYER+s+QHVbLuuK7t/a8qOP57eGj6QHWs2BEhxUkdotDwRMiI+wqaP1rDfA4CsVo4cTCXVq7P7uebb/1zLjjUbAuQAiFBgRsUHa35AVQdatWT3dU382c1oxrNPsGPNhAA5BCLEMyo+WPMDKtvcswe7v/t6776+7FgzIUAOYmmE3pM/QkbFR8CaH1DZa+NHUW7dOux+r9lx9ZXsWDMhQA6DCFUwMj6//4I1P6C+XZe0Zfd9TeppjWj+Ew+zY82CADmQ2yNkZHyE9e9jzQ+ob0Ov29j939dHfe5gx5oFAXIot0bI6PhgzQ84xcLHx1N6o1PY40Dzx2Xt2LFmQYAczG0RMjo+WPMDTrOzQ3v2WNDk1K9Hrz70ADvWDAiQw8kdoaGGRcjo+AhY8wNOszaEY+Qzz7HBjTUDAuQCTo+QGfHBmh9wolnPTKTEpmeyx4VmX5tW7FgzIEAu4dQImREfrPkBJ/u+ayf22NAU16xJK0YNYccaDQFyEWsjtFJ/hP7SFyEz4iNswZofcLBVQ+9jjw9fX1/fjR1rNATIZZwSIbPigzU/4AYHzzuXPU40h849h6Ken8yONRIC5EKWR6iLsREyKz4C1vyAG3zZozt7rPhaPfhedqyRECCXUjVCZsbn2683Yc0PuMIbDw6jwlonsseM5odrr2bHGgkBcjHVImRmfLDmB9xmz0Wt2eNGk3TG6TRn8mPsWKMgQC6nSoTMjI+ANT/gNp/cfjN77Pha368XO9YoCBBIH6GErZ+YGp+KNT/T2G0D4FRLHxlD2Q0bsMeQ5pcrL2fHGgUBAi+ZI1R0YeBfFfjSGx+s+QE3++2KS9njSJN5SkNa/OhYdqwRECD4l8wRCoXe+AhY8wNu9kHfu9hjydemO29hxxoBAYJKVI2QNz6emHA/pypY8wNuN2/SBEppchp7TGl2X3whO9YICBAcw8oIickFxUEWxQVT2rgRZT7xMCW9vYzidnzN/hwO1vwAPEPbO3VgjytN/km16fUxI9ixkUKAgKVahHyVndyQCjp1pCNDBlD6809Tkic0sX98X+lnYs0PQIU1A/uxx5GvLTddz46NFAIEVbL013GeSBR0CXyTxEiVNDuT8rt3oYwh99HW0UNp2diRNH3KJPazA7iFOAbizjmLPWY00S3PY8dGCgGCgFS+EgpVSpPGtKdtG9rWvSut7d+HXnnYugdyAchgm+c/zLhjQ1N2/PH01rD72bGRQIAgKKsjVFa/HnsQWKmkenVKOqMJ/XnpxfTFzdfTuwP70aLHxrHbB0B1K0cMotLqJ7DHgubbbp3ZsZFAgCAklv46btUyohMCHwx2KahVixLOako7r7qCPr+lB701fCDNmfwou80AVHKgVUt2n9eI/X7ms0+wY8OFAEHIrIxQ4qfrqLx2LfZAkFH+SSd5b3G//ZoO9MkdPenN0UMNP1gBzLS5Zw923/b13oC+7NhwIUCgi5UREkSIsh8YTpmPjPHejqfw0nZS/IouVFknN6T9nv+y/LHz1bT+nl6Y+ADSem3cKMqrU4fdjzU7Ol7Jjg0XAgS6WR0hf7G7d1DipvcpddEsypz4EOXcfRcVXnk5lTY6lT1oZFNYqxYlNjuT/rykLW27rqt3NfryB4d5n9fPbW8Aq+zy7JPcPqtJa9yIFjzxMDs2HAgQhMXuCHHifvuWDq9fRame95b10AOUe0dPKmrXlkrqBv6vOlnket5nXPOzvffn+vLG7rTWc8X32vhRNG3KU+x3AGC0Db1uY/dNXx/3uYMdGw4ECMImY4T87f1rO62ZO41WjhxMG3rfTt917UR7LmpDyaef5p3pxh1gshF3LD54/rn0c4f2tPmWHrRmYH9aMmEM+50ARGLh4+Mp49RT2P1Q88dl7dix4UCAICKyR2jTx1U/52fhxIfo7aH3eScNbO/Ukfa3bknpivwaTxDvVfx9SdxKRXwG8VnEZ+I+K0CoxAxPbn/T5NSrR68+NJodqxcCBBGTNUI7xHN+5ul/zo+4uhBXGeJqQ1x1iKuPYM9NkYW4qhNXd+IqT1ztbeh1u/fqb+5TE9jPCuBv7b192H3L1+e33siO1QsBAkPIFiGjn/Mj/g4j/h4j/i7z5Y3Xef9OE9v8bO/fbbgDVDb8xIfhNOv/MPEBKpv1zON0uOkZ7H6k2dfmAnasXggQGEamCFn1nB8xc02cyMUJXZzYxQlenOjFCZ87cGUjAipCWjHx4Tp6HxMfwOP7IPdlLK5Zg1aMGsKO1QMBAkPJEKE/fvnG9uf8iF95eSc+9Lrt34kPKQpNfMjyTnxogYkPLrVqyH3sfuFr6/Xd2LF6IEBgOLsjJPNzfsQkgVVi4sPtYuJDB+8kAuUmPrQWEx86YuKDw8UEuTHwoXPPoajnIrtSRoDAFHZFSNXn/FRMfOh3dOKD5+BXa+JDE+8dxcXV3se9MfHBCb7q0Z39vn2tHtSfHRsqBAhMY3WExJqfFcsXs+9FRZUnPnT3/p1GLFRVZeKDuHFrxcSHiysmPtyDiQ8qeeOBYVR44onsd6v5sXNHdmyoECAwlZURCrTmx0nExIc3Hhym8MSHuvzEhwh/nQPG23tRa/Y71IhHlsx5Kvy7wSNAYDorIhTumh8nmTvJORMfxKMuMPHBfp/efjP7XfkSN9nlxoYCAQJLmBkho9f8OI24vYrvxAfx3BdVJj6UH3ccJj7YaOkjD1J2g/rsd6P5tf1l7NhQIEBgGbMiZNWaH6dZqk186KngxIcaVU18wMMBjfb75Zew34FGPHJkyaNj2bHBIEBgKaMj5F3zs9TeNT9OMm3KpKMTH3r8M/HhHAUnPlx6MW31mfgwExMfwvZh3zvZbe1r0x23sGODQYDAckZGaP37/2N/BhjLf+KDeG5MYlMx8SHwLClZHDPxYYCY+DAaEx9CMG/SBEppchq7XTW7217Ijg0GAQJbGBEhVdf8OIk4OTlq4sMgTHzgiEfNc9tPU1C7Ni0fM5wdGwgCBLaJJEL7HLbmx2n4iQ+BnzMjC9+JDz/+O/Hhflrg4okP797fj91WvrbcdB07NhAECGwVboTcsubHaZY+cnTiw05FJz7s9k586OyqiQ/Tp0yiuHPOYreLJtpzJcmNDQQBAtvpjRDW/DiLOLm9Ns5/4sNZ6kx8qO0/8aGXIyc+bOvehf38GnHl+Paw+9mxVUGAQAp6IoQ1P+5QaeKD5+Sn3MSHehUTH8Q6GW3iw6sKT3z434hBVHrCCexn1XzbrTM7tioIEEgjlAht+RxrftzOd+LD996JD629s7RKVZv40FFMfLhRqYkPB1qdz34mTcJZTT1Xfk+wYzkIEEglUISw5gcCOTrx4eajEx9OVW3iwwVHJz4Mk2/iw+aeN7Dv39f7A/qyYzkIEEinqghhzQ+EQ9xO5ujEhyuUn/iwYpR9Ex+WjRtJeXVOYt+r5ueOV7JjOQgQSMk/QljzA0Y6OvGhj/e5N9rEhzylJj40tWXiw652bdn3pElr3CjkKzcECKQ1PWqKd8abuNnokoUz2X8DYKRZzzzufQ4OJj5UTfztjfvZvsSVGjfWHwIEUhMRwqw3sJt34sOIQRUTH7ooOPHh5IbedTraxAfxJNNwJz4senw8ZQT525q4MuPG+kOAAADCpE18EM/NEberERMfgp2cZSEmPqQ1/mfiQ2d9Ex92XnUF+5qaHM+VmLjy4sb6QoAAAAzGTnxooMrEhxpHJz504yc+rO3fhx3rS1xp+W4TDgIEAGCBKic+1FFn4kPCPxMfxI1nM09uyP47jbiy4raDLwQIAMBm4tEQ4qpiW/eu3ofsiZlk3EldJcWeKylx5cR9Xg0CBAAgIXHFtGzsSPrw7jvpx85X0/5WLb2TCbiTvazETELus2kQIAAAhYip4m+OHuqdNCAmPhw69xzKPynw4lC7iBvKBpoCjgABADjAnMmPemfkiQfriVlq4r5sRTVrsmGw0pqB/dn3KyBAAAAOdezEh0ssn/ggnjbLvTcBAQIAcCGrJj78dM1V7M8XECAAAPASd3wQz/2puOPDNbT33zs+BH4OUFXEYtfXxo9if5aAAAEAQEDi9jurhgzwuePD+SHd8eGXKy9nX0+DAAEAQFh8Jz7EtGhOBbVreyc+iMddiBu6cmN8IUAAAGALBAgAAGyBAAEAgC0QIAAAsAUCBAAAtkCAAADAFggQAADY4Bn6fwCfL4FiKF3aAAAAAElFTkSuQmCC" data-image-state="image-loaded" width="208" height="201"></div><div style="block-size: 147px; 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 73.5px; text-align: left; transform-origin: 384px 73.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span 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: 263.717px 8.05px; transform-origin: 263.717px 8.05px; unicode-bidi: normal; "><span style="">This Challenge is to solve ICFP problems 12, 15, 20, 25, 26, and 39 according to the </span></span><a target='_blank' href = "https://icfpcontest2021.github.io/spec-v4.1.pdf"><span style=""><span style="">Specification</span></span></a><span 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: 66.1333px 8.05px; transform-origin: 66.1333px 8.05px; unicode-bidi: normal; "><span style=""> when given the hole vertices in hxy, original figure vertices in pxy, segment matrix mseg, and epsilon. The hxy matrix is [N+1,2] where N is number of hole vertices. A repeat of the first vertex occurs for drawing the hole.  The pxy(original) and npxy(final) matrices are [P,2] where P is the number of figure vertices. The mseg indicates connected vertices that must maintain a length as a function of epsilon from the original length. The final figure vertices must be integer thus the allowed fuzziness of segment lengths. ICFP problem 47 is of this form but with 10 hole vertices a brute force method may take 180 seconds so this will be a separate challenge.</span></span></div><div 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; "><span 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 8.05px; transform-origin: 384px 8.05px; unicode-bidi: normal; "><span style="">Valid is 1) all npxy vertices on or inside the hole, hxy 2) all lengths squared of npxy segments must match the pxy segments within an allowed epsilon, abs(Lsqr(npxy,seg(i,:))/Lsqr(pxy,seg(i,:))-1)&lt;= epsilon/1000000.  Lsqr is length squared.</span></span></div><div 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; "><a target='_blank' href = "https://www.mathworks.com/matlabcentral/cody/problems/52308"><span style=""><span style="">Score</span></span></a><span 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: 250.1px 8.05px; transform-origin: 250.1px 8.05px; unicode-bidi: normal; "><span style=""> is sum of minimum square distances to the figure from each unique hole vertex. </span></span></div><div 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; "><span 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 8.05px; transform-origin: 155.5px 8.05px; unicode-bidi: normal; "><span style="font-weight: 700; ">npxy=Solve_nPeqnH1(hxy, pxy, mseg, epsilon)</span></span><span 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: 3.88333px 8.05px; transform-origin: 3.88333px 8.05px; unicode-bidi: normal; "><span style="">  </span></span></div><div 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; "><span 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: 383.017px 8.05px; transform-origin: 383.017px 8.05px; unicode-bidi: normal; "><span style="">This challenge set all have optimal Scores of zero. The npxy vertices set must contain an nchoosek(1:nP,nP-1) permutation of the hole vertices as number of figure vertices,nP, equals hole vertices, nH, plus one.</span></span></div><div 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; "><span 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: 303.4px 8.05px; transform-origin: 303.4px 8.05px; unicode-bidi: normal; "><span style="">The function template includes routines to read ICFP problem files and to write ICFP solution files.</span></span></div><div style="block-size: 84px; 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 42px; text-align: left; transform-origin: 384px 42px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span 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: 375.883px 8.05px; transform-origin: 375.883px 8.05px; unicode-bidi: normal; "><span style="">The ICFP 2021 Hole In Wall contest site has enabled a public user login to allow submissions. A login must be created to access all the problems and to submit solutions. Solutions are simple text files. Other challenges will show reading files, drawing figures, and producing submission files. To fully access the ICFP/Problems site use </span></span><a target='_blank' href = "https://poses.live/register"><span style=""><span style="">Register Team</span></span></a><span 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: 42.7833px 8.05px; transform-origin: 42.7833px 8.05px; unicode-bidi: normal; "><span style="">. Anyone can select </span></span><a target='_blank' href = "https://poses.live/problems"><span style=""><span style="">Problems Page</span></span></a><span 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: 256.35px 8.05px; transform-origin: 256.35px 8.05px; unicode-bidi: normal; "><span style=""> and then click problem numbers to see the puzzles and to download problem files.</span></span></div></div></div>

The ICFP held its annual 3-day contest in July 2021 with Hole-In-Wall. Contest Specification.
The contest folds the figure in Red to fit within the hole shown in light grey 
This Challenge is to solve ICFP problems 12, 15, 20, 25, 26, and 39 according to the Specification when given the hole vertices in hxy, original figure vertices in pxy, segment matrix mseg, and epsilon. The hxy matrix is [N+1,2] where N is number of hole vertices. A repeat of the first vertex occurs for drawing the hole.  The pxy(original) and npxy(final) matrices are [P,2] where P is the number of figure vertices. The mseg indicates connected vertices that must maintain a length as a function of epsilon from the original length. The final figure vertices must be integer thus the allowed fuzziness of segment lengths. ICFP problem 47 is of this form but with 10 hole vertices a brute force method may take 180 seconds so this will be a separate challenge.
Valid is 1) all npxy vertices on or inside the hole, hxy 2) all lengths squared of npxy segments must match the pxy segments within an allowed epsilon, abs(Lsqr(npxy,seg(i,:))/Lsqr(pxy,seg(i,:))-1)<= epsilon/1000000.  Lsqr is length squared.
Score is sum of minimum square distances to the figure from each unique hole vertex. 
npxy=Solve_nPeqnH1(hxy, pxy, mseg, epsilon)  
This challenge set all have optimal Scores of zero. The npxy vertices set must contain an nchoosek(1:nP,nP-1) permutation of the hole vertices as number of figure vertices,nP, equals hole vertices, nH, plus one.
The function template includes routines to read ICFP problem files and to write ICFP solution files.
The ICFP 2021 Hole In Wall contest site has enabled a public user login to allow submissions. A login must be created to access all the problems and to submit solutions. Solutions are simple text files. Other challenges will show reading files, drawing figures, and producing submission files. To fully access the ICFP/Problems site use Register Team. Anyone can select Problems Page and then click problem numbers to see the puzzles and to download problem files.

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Problem 52343. ICFP2021 Hole-In-Wall: Solve Score=0, where number of Figure Vertices = Hole Vertices + 1

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Problem 52343. ICFP2021 Hole-In-Wall: Solve Score=0, where number of Figure Vertices = Hole Vertices + 1

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