{"group":{"id":1,"name":"Community","lockable":false,"created_at":"2012-01-18T18:02:15.000Z","updated_at":"2026-04-06T14:01:22.000Z","description":"Problems submitted by members of the MATLAB Central community.","is_default":true,"created_by":161519,"badge_id":null,"featured":false,"trending":false,"solution_count_in_trending_period":0,"trending_last_calculated":"2026-04-06T00:00:00.000Z","image_id":null,"published":true,"community_created":false,"status_id":2,"is_default_group_for_player":false,"deleted_by":null,"deleted_at":null,"restored_by":null,"restored_at":null,"description_opc":null,"description_html":null,"published_at":null},"problems":[{"id":60191,"title":"Reverse Integer","description":"You are given an integer, reverse its digits. For negative integers, the sign should remain in the front.\r\nFor instance, 12340 should become 4321; -1203 becomes -3021.","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: 52.8267px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 386.491px 26.4062px; transform-origin: 386.499px 26.4134px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21.0085px; 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: 363.494px 10.4972px; text-align: left; transform-origin: 363.501px 10.5043px; white-space-collapse: preserve; 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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYou are given an integer, reverse its digits. For negative integers, the sign should remain in the front.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 22.8267px; 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: 363.494px 11.4062px; text-align: left; transform-origin: 363.501px 11.4134px; white-space-collapse: preserve; 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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor instance, \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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003e12340\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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e should become \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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003e4321; -1203\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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e becomes \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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003e-3021\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: 0px 0px; transform-origin: 0px 0px; 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 = reverse_digits(x)\r\n\r\nend","test_suite":"%%\r\nassert(reverse_digits(1234) == 4321)\r\n\r\n%%\r\nassert(reverse_digits(-123) == -321)\r\n\r\n%%  \r\nassert(reverse_digits(9087654321) == 1234567809)\r\n\r\n%%  \r\nassert(reverse_digits(-9087654321) == -1234567809)\r\n\r\n%%\r\nassert(reverse_digits(0) == 0)\r\n\r\n%%\r\nassert(reverse_digits(5) == 5)\r\n\r\n%% \r\nassert(reverse_digits(-9) == -9)\r\n\r\n%% \r\nassert(reverse_digits(100) == 1)\r\n\r\n%% \r\nassert(reverse_digits(-100) == -1)\r\n\r\n%% \r\nassert(reverse_digits(1111) == 1111)\r\n\r\n%% \r\nc = randi([2, 9]);\r\nL = ones(1, randi([1, 9]))*c;\r\nnum = -str2num(strrep(strcat(num2str(L)), ' ', ''))\r\nassert( reverse_digits(num) == num )\r\n\r\n%% \r\nc = randi([2, 9])*ones(1, randi([2, 5]));\r\nL = zeros(1, randi([2, 5]));\r\nnum = -str2num(strrep(strcat(num2str(c), num2str(L)), ' ', ''))\r\ncorrect = -str2num(strrep(strcat(num2str(c)), ' ', ''))\r\nassert( reverse_digits(num) == correct )\r\n\r\n\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":208445,"edited_by":208445,"edited_at":"2024-05-04T08:03:10.000Z","deleted_by":null,"deleted_at":null,"solvers_count":15,"test_suite_updated_at":"2024-05-04T08:03:10.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2024-05-04T07:42:10.000Z","updated_at":"2026-04-13T13:46:42.000Z","published_at":"2024-05-04T08:03:10.000Z","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\u003eYou are given an integer, reverse its digits. For negative integers, the sign should remain in the front.\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 instance, \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\u003e12340\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e should become \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\u003e4321; -1203\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e becomes \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\u003e-3021\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\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":1510,"title":"Number of digits in an integer","description":"Specifies how many digits in a given integer. Example: in=100 ==\u003e out=3","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: 21px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 10.5px; transform-origin: 407px 10.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"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: 226.5px 8px; transform-origin: 226.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eSpecifies how many digits in a given integer. Example: in=100 ==\u0026gt; out=3\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function out = HowManyDigits(in)\r\n  out = in;\r\nend","test_suite":"%%\r\nx = -1;\r\ny_correct = 1;\r\nassert(isequal(HowManyDigits(x),y_correct))\r\n%%\r\nx = 1;\r\ny_correct = 1;\r\nassert(isequal(HowManyDigits(x),y_correct))\r\n%%\r\nx = -10;\r\ny_correct = 2;\r\nassert(isequal(HowManyDigits(x),y_correct))\r\n%%\r\nx = 10;\r\ny_correct = 2;\r\nassert(isequal(HowManyDigits(x),y_correct))\r\n%%\r\nx = 100;\r\ny_correct = 3;\r\nassert(isequal(HowManyDigits(x),y_correct))\r\n%%\r\nx=1000;\r\ny_correct = 4;\r\nassert(isequal(HowManyDigits(x),y_correct))\r\n%%\r\nx=5435742363271149;\r\ny_correct = 16;\r\nassert(isequal(HowManyDigits(x),y_correct))\r\n","published":true,"deleted":false,"likes_count":2,"comments_count":2,"created_by":13478,"edited_by":223089,"edited_at":"2022-07-08T06:58:06.000Z","deleted_by":null,"deleted_at":null,"solvers_count":170,"test_suite_updated_at":"2022-07-08T06:58:06.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2013-05-14T15:59:45.000Z","updated_at":"2026-02-12T18:20:08.000Z","published_at":"2013-05-14T15:59:45.000Z","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\u003eSpecifies how many digits in a given integer. Example: in=100 ==\u0026gt; out=3\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":58877,"title":"Neural Net Image Convolution: Return only Valid portion of conv2","description":"This challenge is to return only the Valid portion of a 2-D convolution. Valid is deemed to be where all elements of the kernel are applied against the image. The (1,1) point with a ones(3) kernel would be invalid while point (2,2) would return a Valid convolution value. The images will be even-square,m, and the kernels will be odd-square,K.The m=ones(6) and K=ones(3) would return a 4x4 matrix of 9s.\r\nmValidConv2=create_ValidConv2(m,K)\r\nIn neural net processing of the Mnist database of digits(0-9) one Convolutional Neural Network method uses 9x9 kernels on the 28x28 images to return the Valid 20x20 central core for the next processing step. The third image includes a black border of four around Valid to maintain scale.\r\n  \r\nThe entire Matlab code from Convolutional Neural Networks in Matlab by Nuruzzaman Faruqui , a Matlab Neural Net Tutorial for Mnist processing, is included in the function template. Loading the Mnist Train/Test Images/Labels from posted MAT files or THE MNIST DATABASE of handwritten digits are provided. The Neural Net tutorial explains Neural Net processing for Digit Recognition. The neural net training method uses 784 input nodes,  20 convolutions(9x9), ReLU, Pooling, batch sampling, single hidden layer of 100 nodes, updating parameters via backwards propagation, and updating convolution kernels. The digit prediction accuracy is \u003e94% after 50s of training. The final feature kernels are very amorphous and unexpected.","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: 545.5px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 272.75px; transform-origin: 407px 272.75px; vertical-align: baseline; \"\u003e\u003cdiv 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; \"\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: 369.5px 8px; transform-origin: 369.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThis challenge is to return only the Valid portion of a 2-D convolution. Valid is deemed to be where all elements of the kernel are applied against the image. The (1,1) point with a ones(3) kernel would be invalid while point (2,2) would return a Valid convolution value. The images will be even-square,m, and the kernels will be odd-square,K.The m=ones(6) and K=ones(3) would return a 4x4 matrix of 9s.\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: 121.5px 8px; transform-origin: 121.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003emValidConv2=create_ValidConv2(m,K)\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: 379px 8px; transform-origin: 379px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIn neural net processing of the Mnist database of digits(0-9) one Convolutional Neural Network method uses 9x9 kernels on the 28x28 images to return the Valid 20x20 central core for the next processing step. The third image includes a black border of four around Valid to maintain scale.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 194.5px; 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 97.25px; text-align: left; transform-origin: 384px 97.25px; 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: 252px;height: 189px\" 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\" data-image-state=\"image-loaded\" width=\"252\" height=\"189\"\u003e\u003c/div\u003e\u003cdiv 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; \"\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=\"\"\u003eThe entire Matlab code from \u003c/span\u003e\u003c/span\u003e\u003ca target='_blank' href = \"https://www.youtube.com/watch?v=ZOXOwYUVCqw\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eConvolutional Neural Networks in Matlab by Nuruzzaman Faruqui\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: 70px 8px; transform-origin: 70px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e , a Matlab Neural Net Tutorial for Mnist processing, is included in the function template. Loading the Mnist Train/Test Images/Labels from posted MAT files or \u003c/span\u003e\u003c/span\u003e\u003ca target='_blank' href = \"/#null\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eTHE MNIST DATABASE of handwritten digits\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: 181.5px 8px; transform-origin: 181.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e are provided. The Neural Net tutorial explains Neural Net processing for Digit Recognition. The neural net training method uses 784 input nodes,  20 convolutions(9x9), ReLU, Pooling, batch sampling, single hidden layer of 100 nodes, updating parameters via backwards propagation, and updating convolution kernels. The digit prediction accuracy is \u0026gt;94% after 50s of training. The final feature kernels are very amorphous and unexpected.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function mValidConv2=create_ValidConv2(m,K)\r\n  mValidConv2=conv2(m,K,'same');\r\nend\r\n\r\n% Code from Convolutional Neural Network in Matlab by Nuruzzaman Faruqui\r\n% Youtube:  https://www.youtube.com/watch?v=ZOXOwYUVCqw\r\n% I have made comments noted by raz and a couple speed enhancements\r\n% I also provide alternate direct source for MNIST files as .mat files\r\n%{\r\nfunction MNIST_Process\r\n%Based upon https://www.youtube.com/watch?v=ZOXOwYUVCqw\r\n%784 input nodes;20 conv 9x9 filters,ReLU;2x2 submatrix Pooling layer,single hidden layer 100 nodes\r\n\r\n%Matlab Convolutional Neural Network in Matlab\r\n%Processing MNIST digits using conv, contents, \r\n%MNIST files  http://yann.lecun.com/exdb/mnist/\r\n%Create filters\r\n%File Exchange NN https://www.mathworks.com/matlabcentral/fileexchange/59223-convolution-neural-network-simple-code-simple-to-use?s_tid=ta_fx_results\r\n%\r\n%use Test_images.mat if avail, use MNIST ubyte files if avail, load Test_images.mat\r\ndir_struct=dir;\r\nfilenames={dir_struct.name};\r\nfn='Test_images.mat';\r\nptr=find(ismember(filenames,fn));\r\nif ~isempty(ptr) % Test images/labels mat files exist\r\n tic;\r\n load('Test_images'); % images [28,28,10000] uint8\r\n load('Test_labels'); % labels [10000,1] uint8 values 0:9\r\n fprintf('Images:%i  Time:%.2f\\n',size(images,3),toc);\r\n Images=double(images)/255; %raz values must be 0:1 or bad things happen\r\n Labels=double(labels);\r\n Labels(Labels==0)=10; % 0 remapped to 10\r\n\r\nelse % Check for Mnist file\r\n %MNIST files source  http://yann.lecun.com/exdb/mnist/\r\n fn='t10k-images.idx3-ubyte'; %NMIST gzip expanded file for Test Images 10K\r\n filenames={dir_struct.name};\r\n ptr=find(ismember(filenames,fn));\r\n if ~isempty(ptr)\r\n  tic\r\n  Images=loadMNISTImages(fn);\r\n  fprintf('MNIST Images Process Time: %.2f\\n',toc); %raz\r\n  Images=reshape(Images,28,28,[]); % Un-vectorize the images\r\n  %Images already scaled by 1/255 in loadMNISTImages\r\n \r\n  Labels=loadMNISTLabels('t10k-labels.idx1-ubyte');\r\n  Labels(Labels==0)=10; % 0 to 10\r\nelse % download Test_images.mat, Test_labels.mat and load\r\n fnameTestI='Test_images.mat'; %load('Test_images.mat') creates images(28,28,10000) 1.6MB\r\n fnameTrainI='Train_images.mat'; %load('Train_images.mat') creates images(28,28,60000)  9.9MB\r\n fnameTestL='Test_labels.mat'; %load('Test_images.mat') creates labels(10000,1) 5KB\r\n fnameTrainL='Train_labels.mat'; %load('Train_images.mat') creates labels(60000,1) 30KB\r\n \r\n %Google Drive Dowloads need to come from shared files\r\n% Tweak link: file/d/ to uc?export=download\u0026id=   while removing /view?usp=sharing\r\n% https://drive.google.com/file/d/1v3GsGgP3p905wzdvUqypL_-djYmxiyzK/view?usp=sharing\r\n% https://drive.google.com/uc?export=download\u0026id=1v3GsGgP3p905wzdvUqypL_-djYmxiyzK\r\n \r\n\r\n  urlTeI='https://drive.google.com/uc?export=download\u0026id=10ReGWlfSvr9p6uq6FQlqw6vw3UXgWo57';\r\n  urlTeL='https://drive.google.com/uc?export=download\u0026id=105zTcVgItZ2JjFiUkJulU33R7lXNl29-';\r\n  urlTrI='https://drive.google.com/uc?export=download\u0026id=1HJZssH6_9OcQ8mXwS_DtvsS_Kk86BDFY';\r\n  urlTrL='https://drive.google.com/uc?export=download\u0026id=1KNTn2eNXbQkQJNe6xhO1LMmvkDRP-XLq';\r\n \r\n  tic\r\n  urlwrite(urlTeI,fnameTestI); %Writing GoogleDrive MNIST_Test_images.pdf  Test_images.mat \r\n  fprintf('Download 1.6MB Time: %.1f  sec\\n\\n',toc); %1.6MB download Time, about 1.1 sec\r\n \r\n  tic\r\n  urlwrite(urlTeL,fnameTestL); %Writing GoogleDrive MNIST_Test_labels.pdf  Test_labels.mat\r\n  fprintf('Download 5KB Time: %.1f  sec\\n\\n',toc); %5KB download Time, about 0.5 sec\r\n \r\n  tic\r\n  urlwrite(urlTrI,fnameTrainI); %Writing GoogleDrive MNIST_Train_images.pdf  Train_images.mat\r\n  fprintf('Download 9.9MB Time: %.1f  sec\\n\\n',toc); %9.9MB download Time, about 4.1 sec\r\n \r\n  tic\r\n  urlwrite(urlTrL,fnameTrainL); %Writing GoogleDrive MNIST_Train_labels.pdf  Train_labels.mat\r\n  fprintf('Download 30KB Time: %.1f  sec\\n\\n',toc); %30KB download Time, about 0.6 sec\r\n\r\n  tic\r\n  load('Test_images'); % images [28,28,10000] uint8\r\n  load('Test_labels'); % labels [10000,1] uint8 values 0:9\r\n  fprintf('Images:%i  Time:%.2f\\n',size(images,3),toc); %.05s\r\n  Images=double(images)/255; %raz values must be 0:1 or bad things happen\r\n  Labels=double(labels);\r\n  Labels(Labels==0)=10; % 0 to 10\r\n end % if MNIST ubyte files\r\n\r\nend % if Test_images.mat\r\n\r\n\r\nrng(1); %raz not liked by curretn matlab\r\n\r\nW1=.01*randn([9 9 20]); %Conv Kernels   base .01\r\nW5=(2*rand(100,2000)-1)*sqrt(6)/sqrt(360+2000); %Hidden layer coeff of 100 pooled\r\nWo=(2*rand(10, 100)-1)*sqrt(6)/sqrt( 10+ 100); %Output coeff to find 0:9 best match\r\n\r\nX=Images(:,:,1:8000);\r\nD=Labels(1:8000);\r\nztic=tic;\r\nfor epoch=1:3  %Repeat cycles of all Training data\r\n fprintf('epoch:%i  Time:%.2f\\n',epoch,toc(ztic));\r\n [W1, W5, Wo]=MnistConv(W1,W5,Wo,X,D);\r\nend %epoch\r\n\r\n%save('MnistConv.mat'); % Used for Post analysis, see video\r\n\r\nX=Images(:,:,8001:10000);\r\nD=Labels(8001:10000);\r\nacc=0;\r\nN=length(D);\r\n\r\nfor k=1:N\r\n x=X(:,:,k);\r\n y1=Conv(x,W1); %Neural Net Processing  W1 kernels on image-x\r\n y2=ReLU(y1);   %Rectification process\r\n y3=Pool(y2);   %Take 20x20 conv images into 100 values\r\n y4=reshape(y3,[],1);\r\n v5=W5*y4;      %Hidden layer weights\r\n y5=ReLU(v5);   %Rectification process\r\n v=Wo*y5;       %Wo Output weight processing\r\n y=Softmax(v);  %create vector length 10 of expected probability, uses exp(x) smoothing\r\n                %Needed in training but not sure why in evaluation\r\n \r\n [~,i]=max(y);\r\n if i==D(k)\r\n  acc=acc+1;\r\n end\r\nend %k\r\n\r\n acc=acc/N;\r\n fprintf('Accuracy is %.2f%%  Time:%.2f\\n',100*acc,toc(ztic));  %raz output/time\r\n\r\nend% MNIST_Process\r\n\r\nfunction [W1, W5,Wo]=MnistConv(W1, W5,Wo,X,D)\r\n alpha=.01;\r\n beta=0.95;\r\n z=reshape(1:100,10,10); % raz\r\n kmap=kron(z,ones(2)); % raz\r\n \r\n momentum1=zeros(size(W1));\r\n momentum5=zeros(size(W5));\r\n momentumo=zeros(size(Wo));\r\n \r\n N=length(D);\r\n \r\n bsize=100;\r\n blist=1:bsize:(N-bsize+1);\r\n \r\n for batch=1:length(blist) % Batch/Updates, each Batch creates updates to Params\r\n  dW1=zeros(size(W1));\r\n  dW5=zeros(size(W5));\r\n  dWo=zeros(size(Wo));\r\n  \r\n  begin=blist(batch);\r\n  for k=begin:begin+bsize-1  %Subset Group of Training samples for param adjust\r\n   x=X(:,:,k);\r\n   y1=Conv(x,W1); %8K/5.8s  3.5s\r\n   y2=ReLU(y1);\r\n   y3=Pool(y2);\r\n   y4=reshape(y3,[],1);\r\n   v5=W5*y4;\r\n   y5=ReLU(v5);\r\n   v=Wo*y5;\r\n   y=Softmax(v); %10 Probability Bins for [1-9 0] \r\n   \r\n   d=zeros(10,1);\r\n   d(sub2ind(size(d),D(k),1))=1;\r\n   \r\n    e=d-y; % raz should this be (e-y)^2*sign(e-y)?\r\n    delta=e;\r\n    e5=Wo'*delta;\r\n    delta5=(y5\u003e0).*e5;\r\n    e4=W5'*delta5;\r\n    e3=reshape(e4,size(y3));\r\n    e2=zeros(size(y2));\r\n    W3=ones(size(y2))/(2*2);\r\n    \r\n    for c=1:20\r\n     %e2(:,:,c)=kron(e3(:,:,c),ones([2 2])).*W3(:,:,c); %160K/4.5s\r\n     e3c=e3(:,:,c); %160K/.27 raz\r\n     e2(:,:,c)=e3c(kmap).*W3(:,:,c);  %160K/.8s  raz\r\n    end %c\r\n    \r\n    delta2=(y2\u003e0).*e2;\r\n    delta1_x=zeros(size(W1)); \r\n    \r\n    for c=1:20\r\n     delta1_x(:,:,c)=conv2(x(:,:),rot90(delta2(:,:,c),2),'valid'); %160K/5.3s\r\n    end %c\r\n    \r\n    dW1=dW1+delta1_x; %error per kernel plane\r\n    dW5=dW5+delta5*y4'; %8K/4.2s  100x2000\r\n    dWo=dWo+delta*y5';\r\n  end %k\r\n  dW1=dW1/bsize;\r\n  dW5=dW5/bsize;\r\n  dWo=dWo/bsize;\r\n  \r\n  momentum1=alpha*dW1+beta*momentum1;\r\n  W1       = W1+momentum1;\r\n  \r\n  momentum5=alpha*dW5+beta*momentum5;\r\n  W5       = W5+momentum5;\r\n  \r\n  momentumo=alpha*dWo+beta*momentumo;\r\n  Wo       = Wo+momentumo;\r\n  \r\n end % batch\r\n \r\nend %MnistConv\r\n\r\nfunction rng(x)\r\n randn('seed',x);\r\n rand('seed',x);\r\nend % rng\r\n\r\nfunction y=Pool(x)\r\n [xrow,xcol,numFilters]=size(x);\r\n y=zeros(xrow/2,xcol/2,numFilters);\r\n for k=1:numFilters\r\n  filter=ones(2)/(2*2);\r\n  image=conv2(x(:,:,k),filter,'valid');\r\n  y(:,:,k)=image(1:2:end,1:2:end);\r\n end\r\n\r\nend %Pool\r\n\r\nfunction y=Conv(x,W)\r\n [wrow,wcol,numFilters]=size(W);\r\n [xrow,xcol,~         ]=size(x);\r\n \r\n yrow=xrow-wrow+1;\r\n ycol=xcol-wcol+1;\r\n \r\n y=zeros(yrow,ycol,numFilters);\r\n \r\n for k=1:numFilters\r\n  filter=W(:,:,k);\r\n  filter=rot90(squeeze(filter),2); %200K/2.5s  raz remove test/92.15%\r\n  y(:,:,k)=conv2(x,filter,'valid'); %200K/3.7s  3.5s\r\n end\r\nend %Conv\r\n\r\nfunction y=Softmax(x)\r\n ex=exp(x);\r\n y=ex/sum(ex);\r\nend %Softmax\r\n\r\nfunction y=ReLU(x)\r\n y=max(0,x);\r\nend %ReLU\r\n\r\n\r\n\r\nfunction images=loadMNISTImages(filename)\r\n%\r\nfp=fopen(filename,'rb');\r\nassert(fp~=-1,['Could not open', filename,'']);\r\nmagic=fread(fp,1,'int32',0,'ieee-be');\r\nassert(magic==2051,['Bad magic number in', filename, '']); %2051 Images\r\nnumImages=fread(fp,1,'int32',0,'ieee-be');\r\nnumRows=fread(fp,1,'int32',0,'ieee-be');\r\nnumCols=fread(fp,1,'int32',0,'ieee-be');\r\nimages=fread(fp,inf,'unsigned char=\u003eunsigned char');\r\nfclose(fp);\r\nfprintf('Images:%i  rows:%i  cols:%i\\n',numImages,numRows,numCols); %raz\r\n\r\nimages=reshape(images,numCols,numRows,numImages);\r\nimages=permute(images,[2 1 3]); \r\n\r\nimages=reshape(images,size(images,1)*size(images,2),size(images,3)); %raz Will be reverted\r\nimages=double(images)/255;\r\n \r\nend %loadMNISTImages\r\n\r\nfunction labels=loadMNISTLabels(filename)\r\n%\r\nfp=fopen(filename,'rb');\r\nassert(fp~=-1,['Could not open', filename,'']);\r\nmagic=fread(fp,1,'int32',0,'ieee-be');\r\nassert(magic==2049,['Bad magic number in ', filename,'']);\r\nnumLabels=fread(fp,1,'int32',0,'ieee-be');\r\nlabels=fread(fp,inf,'unsigned char');\r\nassert(size(labels,1)==numLabels,'Mismatch in label count');\r\nfclose(fp);\r\nfprintf('Labels:%i\\n',numLabels); %raz\r\n\r\n\r\nend %loadMNISTLabels\r\n%}","test_suite":"%%\r\n%Google Drive Dowloads need to come from shared files\r\n% Tweak link: file/d/ to uc?export=download\u0026id=   while removing /view?usp=sharing\r\n% https://drive.google.com/file/d/1v3GsGgP3p905wzdvUqypL_-djYmxiyzK/view?usp=sharing\r\n% https://drive.google.com/uc?export=download\u0026id=1v3GsGgP3p905wzdvUqypL_-djYmxiyzK\r\n fnameTestI='Test_images.mat'; %load('Test_images.mat') creates images(28,28,10000) 1.6MB\r\n fnameTrainI='Train_images.mat'; %load('Train_images.mat') creates images(28,28,60000)  9.9MB\r\n fnameTestL='Test_labels.mat'; %load('Test_images.mat') creates labels(10000,1) 5KB\r\n fnameTrainL='Train_labels.mat'; %load('Train_images.mat') creates labels(60000,1) 30KB\r\n \r\n urlTeI='https://drive.google.com/uc?export=download\u0026id=10ReGWlfSvr9p6uq6FQlqw6vw3UXgWo57';\r\n urlTeL='https://drive.google.com/uc?export=download\u0026id=105zTcVgItZ2JjFiUkJulU33R7lXNl29-';\r\n urlTrI='https://drive.google.com/uc?export=download\u0026id=1HJZssH6_9OcQ8mXwS_DtvsS_Kk86BDFY';\r\n urlTrL='https://drive.google.com/uc?export=download\u0026id=1KNTn2eNXbQkQJNe6xhO1LMmvkDRP-XLq';\r\n \r\n % fn.mat  https://drive.google.com/file/d/10GsOZTIjzMIuO7xAYIqLT1zIq9Cyubl-/view?usp=drive_link\r\n % Google Gives warning thus aborts urlwrite\r\n %\r\n %fname='Mnist_Test_images.pdf'\r\n %Fake name of .pdf on GoogleDrive,  write as a mat\r\n \r\n %url='https://drive.google.com/file/d/1mgxzsmVQNXgqHEdd61QR2r0STm3N9lgG/view?usp=drive_link';\r\n %ptr=strfind(url,'/view'); % Tweaking the url\r\n %url(ptr:end)=[];\r\n %url=strrep(url,'file/d/','uc?export=download\u0026id=');\r\n \r\n tic\r\n urlwrite(urlTeI,fnameTestI); %Writing GoogleDrive MNIST_Test_images.pdf  Test_images.mat\r\n fprintf('Download 1.6MB Time: %.1f  sec\\n',toc); %1.6MB download Time, about 1.5 sec\r\n \r\n tic\r\n urlwrite(urlTeL,fnameTestL); %Writing GoogleDrive MNIST_Test_labels.pdf  Test_labels.mat\r\n fprintf('Download 5KB Time: %.1f  sec\\n',toc); %5KB download Time, about .5 sec\r\n \r\n global labels images \r\n \r\n load('Test_images'); % images [28,28,10000] uint8\r\n load('Test_labels'); % labels [10000,1] uint8 values 0:9\r\n \r\n %Showing a Label and an image from Mnist\r\n ptr=randi(10000);\r\n fprintf('Label:%i\\n',labels(ptr));\r\n figure(1);imagesc(images(:,:,ptr)); colormap gray;\r\n \r\n \r\nvalid=1;\r\nassert(valid)\r\n%%\r\n%Showing a Label and an image from Mnist\r\n global labels images\r\n valid=1;\r\n ptr=randi(10000);\r\n fprintf('Label:%i\\n',labels(ptr));\r\n m=double(images(:,:,ptr))/255;\r\n figure(2);imagesc(m); colormap gray;\r\n \r\n K=repmat([0 0 .5 1 1 1 .5 0 0],9,1); % Vert Bar\r\n mValidConv2=create_ValidConv2(m,K);\r\n figure(3);imagesc(mValidConv2); colormap gray;\r\n mc=conv2(m,K,'same');\r\n if ~isequal(mc(5:end-4,5:end-4),mValidConv2)\r\n  valid=0;\r\n end\r\n \r\nassert(valid)\r\n\r\n%%\r\n%Showing a Label and an image from Mnist\r\n global labels images\r\n valid=1;\r\n ptr=randi(10000);\r\n fprintf('Label:%i\\n',labels(ptr));\r\n m=double(images(:,:,ptr))/255;\r\n figure(2);imagesc(m); colormap gray;\r\n \r\n K=repmat([0 0 .5 1 1 1 .5 0 0]',1,9); %Horiz Bar\r\n mValidConv2=create_ValidConv2(m,K);\r\n figure(3);imagesc(mValidConv2); colormap gray;\r\n mc=conv2(m,K,'same');\r\n if ~isequal(mc(5:end-4,5:end-4),mValidConv2)\r\n  valid=0;\r\n end\r\n \r\nassert(valid)\r\n\r\n%%\r\n%Showing a Label and an image from Mnist\r\n global labels images\r\n valid=1;\r\n m=rand(24);\r\n K=repmat([0 .5 1 1 1 .5 0]',1,7); %Horiz Bar\r\n mValidConv2=create_ValidConv2(m,K)\r\n mc=conv2(m,K,'same');\r\n if ~isequal(mc(4:end-3,4:end-3),mValidConv2)\r\n  valid=0;\r\n end\r\n \r\nassert(valid)\r\n\r\n%%\r\n%Showing a Label and an image from Mnist\r\n global labels images\r\n valid=1;\r\n m=rand(8);\r\n K=ones(3)/9;\r\n mValidConv2=create_ValidConv2(m,K)\r\n mc=conv2(m,K,'same');\r\n if ~isequal(mc(2:end-1,2:end-1),mValidConv2)\r\n  valid=0;\r\n end\r\n \r\nassert(valid)\r\n\r\n","published":true,"deleted":false,"likes_count":2,"comments_count":0,"created_by":3097,"edited_by":3097,"edited_at":"2023-08-17T19:33:19.000Z","deleted_by":null,"deleted_at":null,"solvers_count":13,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2023-08-17T14:03:38.000Z","updated_at":"2025-12-09T23:45:29.000Z","published_at":"2023-08-17T19:33:20.000Z","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\u003eThis challenge is to return only the Valid portion of a 2-D convolution. Valid is deemed to be where all elements of the kernel are applied against the image. The (1,1) point with a ones(3) kernel would be invalid while point (2,2) would return a Valid convolution value. The images will be even-square,m, and the kernels will be odd-square,K.The m=ones(6) and K=ones(3) would return a 4x4 matrix of 9s.\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\u003emValidConv2=create_ValidConv2(m,K)\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 neural net processing of the Mnist database of digits(0-9) one Convolutional Neural Network method uses 9x9 kernels on the 28x28 images to return the Valid 20x20 central core for the next processing step. The third image includes a black border of four around Valid to maintain scale.\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=\\\"189\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"252\\\"/\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\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"189\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"252\\\"/\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=\\\"rId2\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"189\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"252\\\"/\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=\\\"rId3\\\"/\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\u003eThe entire Matlab code from \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"https://www.youtube.com/watch?v=ZOXOwYUVCqw\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eConvolutional Neural Networks in Matlab by Nuruzzaman Faruqui\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e , a Matlab Neural Net Tutorial for Mnist processing, is included in the function template. Loading the Mnist Train/Test Images/Labels from posted MAT files or \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eTHE MNIST DATABASE of handwritten digits\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e are provided. The Neural Net tutorial explains Neural Net processing for Digit Recognition. The neural net training method uses 784 input nodes,  20 convolutions(9x9), ReLU, Pooling, batch sampling, single hidden layer of 100 nodes, updating parameters via backwards propagation, and updating convolution kernels. The digit prediction accuracy is \u0026gt;94% after 50s of training. The final feature kernels are very amorphous and 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all digits","description":"input = 123456789, output = 1+2+3+4+5+6+7+8+9 = 45","description_html":"\u003cp\u003einput = 123456789, output = 1+2+3+4+5+6+7+8+9 = 45\u003c/p\u003e","function_template":"function y = sum_all_digits(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 1;\r\ny_correct = 1;\r\nassert(isequal(sum_all_digits(x),y_correct))\r\n\r\n%%\r\nx = 112;\r\ny_correct = 4;\r\nassert(isequal(sum_all_digits(x),y_correct))\r\n \r\n%%\r\nx = 18547;\r\ny_correct = 25;\r\nassert(isequal(sum_all_digits(x),y_correct))\r\n \r\n%%\r\nx = 147852369;\r\ny_correct = 45;\r\nassert(isequal(sum_all_digits(x),y_correct))\r\n \r\n%%\r\nx = 753159;\r\ny_correct = 30;\r\nassert(isequal(sum_all_digits(x),y_correct))\r\n \r\n%%\r\nx = 1000245879653254;\r\ny_correct = 61;\r\nassert(isequal(sum_all_digits(x),y_correct))\r\n ","published":true,"deleted":false,"likes_count":2,"comments_count":1,"created_by":108804,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":113,"test_suite_updated_at":"2017-08-13T16:35:36.000Z","rescore_all_solutions":true,"group_id":1,"created_at":"2017-08-13T15:05:59.000Z","updated_at":"2026-02-18T11:04:46.000Z","published_at":"2017-08-13T15:05:59.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003einput = 123456789, output = 1+2+3+4+5+6+7+8+9 = 45\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":44856,"title":"Permutation Via Multiplication","description":"Given two numbers a and b, determine if the product ab is a permutation of the digits of a. For example, this is always true for a=0. Less trivially, 125874*2=251748.\r\nIf the product, ab, has more digits than a, append zeros to the front of a so they have the same number of digits. Thus, for example, 015*7=105 is another example.\r\nThis problem was inspired by seeing a student simplify 163/326 to 1/2 by cancelling out the digits in common.","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: 123px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 61.5px; transform-origin: 407px 61.5px; 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: 384px 8px; transform-origin: 384px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven two numbers a and b, determine if the product ab is a permutation of the digits of a. For example, this is always true for a=0. Less trivially, 125874*2=251748.\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=\"\"\u003eIf the product, ab, has more digits than a, append zeros to the front of a so they have the same number of digits. Thus, for example, 015*7=105 is another example.\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: 342.5px 8px; transform-origin: 342.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThis problem was inspired by seeing a student simplify 163/326 to 1/2 by cancelling out the digits in common.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function tf = product_is_perm(a,b)\r\ntf = false;\r\nend","test_suite":"%%\r\na = 0;\r\nb = 2;\r\ntf_correct = true;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 15;\r\nb = 7;\r\ntf_correct = true;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 1035;\r\nb = 3;\r\ntf_correct = true;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 125874;\r\nb = 2;\r\ntf_correct = true;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 10;\r\nb = 2;\r\ntf_correct = false;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 123;\r\nb = 10;\r\ntf_correct = true;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 67;\r\nb = 2;\r\ntf_correct = false;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 1025874;\r\nb = 2;\r\ntf_correct = true;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 459;\r\nb = 11;\r\ntf_correct = true;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 461;\r\nb = 11;\r\ntf_correct = false;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 2;\r\nb = 6;\r\ntf_correct = false;\r\nassert(isequal(product_is_perm(a,b),tf_correct))","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":280845,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":56,"test_suite_updated_at":"2021-06-17T09:04:15.000Z","rescore_all_solutions":true,"group_id":1,"created_at":"2019-02-21T18:59:27.000Z","updated_at":"2026-03-20T13:33:01.000Z","published_at":"2019-02-21T18:59:27.000Z","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 two numbers a and b, determine if the product ab is a permutation of the digits of a. For example, this is always true for a=0. Less trivially, 125874*2=251748.\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 the product, ab, has more digits than a, append zeros to the front of a so they have the same number of digits. Thus, for example, 015*7=105 is another 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:r\u003e\u003cw:t\u003eThis problem was inspired by seeing a student simplify 163/326 to 1/2 by cancelling out the digits in common.\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":52569,"title":"A sequence of Ones","description":"You are given number(s) with all digits - 1. \r\nYour answer will depend on the count of 1 in the given number, for example - \r\nx1=11;              x2=111;             x3=1111;\r\ny1=11;              y2=121;             y3=1221;\r\nBased on Problem #42319. Refer to the test suite for further information.","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: 132.867px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 66.4333px; transform-origin: 407px 66.4333px; vertical-align: baseline; \"\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: 134px 8px; transform-origin: 134px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYou are given number(s) with all digits - 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: 242.5px 8px; transform-origin: 242.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYour answer will depend on the count of 1 in the given number, for example - \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); 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: 192px 8.5px; tab-size: 4; transform-origin: 192px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ex1=11;              x2=111;             x3=1111;\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: 192px 8.5px; tab-size: 4; transform-origin: 192px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ey1=11;              y2=121;             y3=1221;\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: 32px 8px; transform-origin: 32px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eBased on \u003c/span\u003e\u003c/span\u003e\u003ca target='_blank' href = \"https://in.mathworks.com/matlabcentral/cody/groups/39/problems/42319\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eProblem #42319\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: 144.5px 8px; transform-origin: 144.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e. Refer to the test suite for further information.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = one(x)\r\ny = ones(x);\r\nend","test_suite":"%%\r\nx = [];\r\nassert(isempty(one(x)))\r\n\r\n%%\r\nx = 111;\r\ny = 121;\r\nassert(isequal(one(x),y))\r\n\r\n%%\r\nx = 1111;\r\ny = 1221;\r\nassert(isequal(one(x),y))\r\n\r\n%%\r\nx = [1 11];\r\nassert(isequal(one(x),x))\r\n\r\n%%\r\nx = 11111;\r\ny = 12321;\r\nassert(isequal(one(x),y))\r\n\r\n%%\r\nx = 1111111111;\r\ny = 1234554321;\r\nassert(isequal(one(x),y))\r\n\r\n%%\r\nx = [111111 1111111 1111111111111];\r\ny = [123321 1234321 1234567654321];\r\nassert(isequal(one(x),y))","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":223089,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":17,"test_suite_updated_at":"2022-02-05T18:05:35.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2021-08-19T11:24:01.000Z","updated_at":"2026-03-16T12:54:19.000Z","published_at":"2021-11-09T08:31:22.000Z","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\u003eYou are given number(s) with all digits - 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\u003eYour answer will depend on the count of 1 in the given number, for 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[x1=11;              x2=111;             x3=1111;\\ny1=11;              y2=121;             y3=1221;]]\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\u003eBased on \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"https://in.mathworks.com/matlabcentral/cody/groups/39/problems/42319\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eProblem #42319\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e. Refer to the test suite for further information.\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":2193,"title":"Mysterious digits operation (easy)","description":"What is this digit operation?\r\n\r\n 0    -\u003e 0\r\n 1    -\u003e 9\r\n 121  -\u003e 9\r\n 44   -\u003e 6\r\n 15   -\u003e 5\r\n 1243 -\u003e 7\r\n ...","description_html":"\u003cp\u003eWhat is this digit operation?\u003c/p\u003e\u003cpre\u003e 0    -\u0026gt; 0\r\n 1    -\u0026gt; 9\r\n 121  -\u0026gt; 9\r\n 44   -\u0026gt; 6\r\n 15   -\u0026gt; 5\r\n 1243 -\u0026gt; 7\r\n ...\u003c/pre\u003e","function_template":"function y = what_digits(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 0;\r\ny_correct = 0;\r\nassert(isequal(what_digits(x),y_correct))\r\n%%\r\nx = 1;\r\ny_correct = 9;\r\nassert(isequal(what_digits(x),y_correct))\r\n%%\r\nx = 44;\r\ny_correct = 6;\r\nassert(isequal(what_digits(x),y_correct))\r\n%%\r\nx = 15;\r\ny_correct = 5;\r\nassert(isequal(what_digits(x),y_correct))\r\n%%\r\nx = 1243;\r\ny_correct = 7;\r\nassert(isequal(what_digits(x),y_correct))\r\n%%\r\nx = 10;\r\ny_correct = 0;\r\nassert(isequal(what_digits(x),y_correct))\r\n%%\r\nx = 1000;\r\ny_correct = 0;\r\nassert(isequal(what_digits(x),y_correct))\r\n%%\r\nx = 1e5;\r\ny_correct = 0;\r\nassert(isequal(what_digits(x),y_correct))\r\n%%\r\nx = 1e5+1;\r\ny_correct = 9;\r\nassert(isequal(what_digits(x),y_correct))\r\n%%\r\nx = 1e5-1;\r\ny_correct = 1;\r\nassert(isequal(what_digits(x),y_correct))","published":true,"deleted":false,"likes_count":4,"comments_count":0,"created_by":5390,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":321,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":45,"created_at":"2014-02-18T11:03:52.000Z","updated_at":"2026-04-08T08:54:46.000Z","published_at":"2014-02-18T11:13:41.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWhat is this digit operation?\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[ 0    -\u003e 0\\n 1    -\u003e 9\\n 121  -\u003e 9\\n 44   -\u003e 6\\n 15   -\u003e 5\\n 1243 -\u003e 7\\n ...]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":44682,"title":"Numbers on 7-segment ","description":"This is a 7-segment:\r\n\r\n    _\r\n   |_|\r\n   |_|\r\n\r\nIt's a 3-by-3 char matrix.It has made by 3 characters: '_' , '|' and ' ' (space). \r\nUsing these 3 characters make the input number on the 7-segment. (Input is 0-9).\r\n\r\n\r\nExample:\r\n\r\n  N=0\r\n  ans=\r\n    _\r\n   | |\r\n   |_| \r\n   \r\n  N= 9\r\n  ans=\r\n    _\r\n   |_|\r\n    _| \r\n   ","description_html":"\u003cp\u003eThis is a 7-segment:\u003c/p\u003e\u003cpre\u003e    _\r\n   |_|\r\n   |_|\u003c/pre\u003e\u003cp\u003eIt's a 3-by-3 char matrix.It has made by 3 characters: '_' , '|' and ' ' (space). \r\nUsing these 3 characters make the input number on the 7-segment. (Input is 0-9).\u003c/p\u003e\u003cp\u003eExample:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003eN=0\r\nans=\r\n  _\r\n | |\r\n |_| \r\n\u003c/pre\u003e\u003cpre class=\"language-matlab\"\u003eN= 9\r\nans=\r\n  _\r\n |_|\r\n  _| \r\n\u003c/pre\u003e","function_template":"function y = seven_segment(N)\r\n  y = ...\r\nend","test_suite":"%%\r\nN = 0;\r\ny_correct =...\r\n[' _ '\r\n '| |'\r\n '|_|']\r\nassert(isequal(seven_segment(N),y_correct))\r\n%%\r\nN = 1;\r\ny_correct =...\r\n['   '\r\n '  |'\r\n '  |']\r\nassert(isequal(seven_segment(N),y_correct))\r\n%%\r\nN = 2;\r\ny_correct =...\r\n[' _ '\r\n ' _|'\r\n '|_ ']\r\nassert(isequal(seven_segment(N),y_correct))\r\n%%\r\nN = 3;\r\ny_correct =...\r\n[' _ '\r\n ' _|'\r\n ' _|']\r\nassert(isequal(seven_segment(N),y_correct))\r\n%%\r\nN = 4;\r\ny_correct =...\r\n['   '\r\n '|_|'\r\n '  |']\r\nassert(isequal(seven_segment(N),y_correct))\r\n%%\r\nN = 9;\r\ny_correct =...\r\n[' _ '\r\n '|_|'\r\n ' _|']\r\nassert(isequal(seven_segment(N),y_correct))\r\n%%\r\nN = 8;\r\ny_correct =...\r\n[' _ '\r\n '|_|'\r\n '|_|']\r\nassert(isequal(seven_segment(N),y_correct))\r\n%%\r\nN = 6;\r\ny_correct =...\r\n[' _ '\r\n '|_ '\r\n '|_|']\r\nassert(isequal(seven_segment(N),y_correct))\r\n%%\r\nN = 5;\r\ny_correct =...\r\n[' _ '\r\n '|_ '\r\n ' _|']\r\nassert(isequal(seven_segment(N),y_correct))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":218677,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":87,"test_suite_updated_at":"2018-06-08T17:09:34.000Z","rescore_all_solutions":true,"group_id":1,"created_at":"2018-06-08T10:01:09.000Z","updated_at":"2026-03-20T13:40:55.000Z","published_at":"2018-06-08T10:01:09.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThis is a 7-segment:\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[    _\\n   |_|\\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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIt's a 3-by-3 char matrix.It has made by 3 characters: '_' , '|' and ' ' (space). Using these 3 characters make the input number on the 7-segment. (Input is 0-9).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eExample:\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[N=0\\nans=\\n  _\\n | |\\n |_| \\n\\nN= 9\\nans=\\n  _\\n |_|\\n  _|]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":43019,"title":"Iterative sum of digits of 2^n number","description":"Given n, calculate the number 2^n (where n\u003e=0) and iterate until the sum of the digits is a single-digit number.\r\nExample:\r\n Input  n = 7\r\n Output sum = 2\r\nbecause 2^7 = 128, and 1+2+8=11 and 1+1=2.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20px; 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: normal; text-decoration: none; white-space: normal; \"\u003e\u003cdiv style=\"display: block; min-width: 0px; padding-top: 0px; vertical-align: baseline; \"\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-bottom: 9px; 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=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003eGiven n, calculate the number 2^n (where n\u0026gt;=0) and\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"font-weight: bold; \"\u003eiterate\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003e until the sum of the digits is a single-digit number.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-bottom: 9px; 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=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003eExample:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-bottom: 10px; margin-left: 3px; margin-right: 3px; margin-top: 10px; 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-inline-end: 1px solid rgb(233, 233, 233); border-inline-start: 1px solid rgb(233, 233, 233); 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-top-left-radius: 0px; border-top-right-radius: 0px; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-height: 18px; padding-left: 4px; white-space: nowrap; \"\u003e\u003cspan style=\"border-inline-end: 0px none rgb(0, 0, 0); border-inline-start: 0px none rgb(0, 0, 0); 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-right: 45px; min-height: 0px; padding-left: 0px; tab-size: 4; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-right: 0px; \"\u003e Input  \u003c/span\u003e\u003cspan style=\"border-block-end: 0px none rgb(170, 4, 249); border-block-start: 0px none rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end: 0px none rgb(170, 4, 249); border-inline-start: 0px none 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-right: 0px; outline-color: rgb(170, 4, 249); text-decoration-color: rgb(170, 4, 249); \"\u003en = 7\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end: 1px solid rgb(233, 233, 233); border-inline-start: 1px solid rgb(233, 233, 233); 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-top-left-radius: 0px; border-top-right-radius: 0px; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-height: 18px; padding-left: 4px; white-space: nowrap; \"\u003e\u003cspan style=\"border-inline-end: 0px none rgb(0, 0, 0); border-inline-start: 0px none rgb(0, 0, 0); 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-right: 45px; min-height: 0px; padding-left: 0px; tab-size: 4; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-right: 0px; \"\u003e Output \u003c/span\u003e\u003cspan style=\"border-block-end: 0px none rgb(170, 4, 249); border-block-start: 0px none rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end: 0px none rgb(170, 4, 249); border-inline-start: 0px none 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-right: 0px; outline-color: rgb(170, 4, 249); text-decoration-color: rgb(170, 4, 249); \"\u003esum = 2\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-bottom: 9px; margin-left: 4px; margin-right: 10px; margin-top: 10px; text-align: left; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003ebecause 2^7 = 128, and 1+2+8=11 and 1+1=2.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function sum = your_fcn_name(n)\r\n  sum = n;\r\nend","test_suite":"%%\r\nn = 0;\r\ny_correct = 1;\r\nassert(isequal(your_fcn_name(n),y_correct))\r\n\r\n%%\r\nn = 1;\r\ny_correct = 2;\r\nassert(isequal(your_fcn_name(n),y_correct))\r\n\r\n%%\r\nn = 6;\r\ny_correct = 1;\r\nassert(isequal(your_fcn_name(n),y_correct))\r\n\r\n%%\r\nn = 21;\r\ny_correct = 8;\r\nassert(isequal(your_fcn_name(n),y_correct))\r\n\r\n%%\r\nn = 111;\r\ny_correct = 8;\r\nassert(isequal(your_fcn_name(n),y_correct))\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":7,"created_by":425,"edited_by":26769,"edited_at":"2022-04-12T13:08:05.000Z","deleted_by":null,"deleted_at":null,"solvers_count":34,"test_suite_updated_at":"2022-04-12T13:08:05.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2016-10-04T14:39:05.000Z","updated_at":"2025-12-09T13:07:08.000Z","published_at":"2016-10-04T14:42:41.000Z","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 n, calculate the number 2^n (where n\u0026gt;=0) and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eiterate\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e until the sum of the digits is a single-digit number.\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\u003eExample:\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[ Input  n = 7\\n Output sum = 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\u003ebecause 2^7 = 128, and 1+2+8=11 and 1+1=2.\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":44859,"title":"Get the value 100","description":"Knowing that 123-45-67+89=100, write a function that gives this result for any order of the digits in the input. Otherwise, the function should give 'NaN'.","description_html":"\u003cp\u003eKnowing that 123-45-67+89=100, write a function that gives this result for any order of the digits in the input. Otherwise, the function should give 'NaN'.\u003c/p\u003e","function_template":"function y = your_fcn_name(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 125346798;\r\ny_correct = 100;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 215346978;\r\ny_correct = 100;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 152346897;\r\ny_correct = 100;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 1523897;\r\ny_correct = 'NaN';\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 158921;\r\ny_correct = 'NaN';\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 999999999;\r\ny_correct = 'NaN';\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":274816,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":27,"test_suite_updated_at":"2019-03-12T22:42:31.000Z","rescore_all_solutions":true,"group_id":1,"created_at":"2019-03-01T20:00:33.000Z","updated_at":"2026-04-07T18:41:30.000Z","published_at":"2019-03-01T20:00:33.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eKnowing that 123-45-67+89=100, write a function that gives this result for any order of the digits in the input. Otherwise, the function should give 'NaN'.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":1164,"title":"Sum the Digits of a Number","description":"Given an integer, sum the digits repeatedly until you end up with a single value less than 10.\r\n\r\nFor example, if you add the digits of the number 123456789, you get 1+2+3+4+5+6+7+8+9 = 45, and then 4+5 = 9\r\n\r\nThe input will be a string of digits. The output should be the scalar value of the repeated sum of digits.","description_html":"\u003cp\u003eGiven an integer, sum the digits repeatedly until you end up with a single value less than 10.\u003c/p\u003e\u003cp\u003eFor example, if you add the digits of the number 123456789, you get 1+2+3+4+5+6+7+8+9 = 45, and then 4+5 = 9\u003c/p\u003e\u003cp\u003eThe input will be a string of digits. The output should be the scalar value of the repeated sum of digits.\u003c/p\u003e","function_template":"function s = digit_sum(a)\r\n  s = [];\r\nend","test_suite":"%%\r\n\r\nassessFunctionAbsence('regexp','FileName','digit_sum.m')\r\n\r\n%%\r\nx = '123456789';\r\nassert(isequal(digit_sum(x),9))\r\n\r\n%%\r\nx = '13579';\r\nassert(isequal(digit_sum(x),7))\r\n\r\n%%\r\nx = '199';\r\nassert(isequal(digit_sum(x),1))\r\n\r\n%%\r\nx = '19999999999999999999999';\r\nassert(isequal(digit_sum(x),1))\r\n\r\n%%\r\nx = '1036654257757615301164620529930689045676735109259113932133140605724504628985272966102896725849035075';\r\nassert(isequal(digit_sum(x),5))\r\n\r\n%%\r\nx = '74021245485969262660226837606390444737401741361729271205654666692721644673648826558231964656575921104437679911605584367531520724637367403421848373873279364871895851147873501164141085965889086954824958';\r\nassert(isequal(digit_sum(x),1))\r\n\r\n%%\r\nx = '5851147873501164141085965889086954824958752606678975950184825606304112110625645414882256429011165097708998751310932346085834016381957924478113053129649177515212802040810341932020576007951832700665777265307367115487700079617116367572798033657320723526417122504117269467461912747320644603761100467516110111332287512097531691230649461317836258532443574410236994277771642081168571956087153534120969197542720767643838785694086392663104173875192923061073636098783655224289050890906758861210169349969736226546755550793938442137760897037722646218791104180057313259613054984813997639176837835953637446938790362276560342782718153854834909165636800962412231318093037756803017785098259784452756314377610539928858957504653988358962604698474998342789551842878266142728834686534787064418323355335697481001330501689595534408048368891285568524496673551564873437746977135402808065251650010486580915150789952155706519549648556325841434843312042241472703020112115992435204109497067652723884369953849057131345052221998713';\r\nassert(isequal(digit_sum(x),3))\r\n\r\n%%\r\nx = '908345908234987234589734591724598712345987345273472134987134589764359712459087124587213458149576345917461982455851147873501164141085965889086954824958752606678975950184825606304112110625645414882256429011165097708998751310932346085834016381957924478113053129649177515212802040810341932020576007951832700665777265307367115487700079617116367572798033657320723526417122504117269467461912747320644603761100467516110111332287512097531691230649461317836258532443574410236994277771642081168571956087153534120969197542720767643838785694086392663104173875192923061073636098783655224289050890906758861210169349969736226546755550793938442137760897037722646218791104180057313259613054984813997639176837835953637446938790362276560342782718153854834909165636800962412231318093037756803017785098259784452756314377610539928858957504653988358962604698474998342789551842878266142728834686534787064418323355335697481001330501689595534408048368891285568524496673551564873437746977135402808065251650010486580915150789952155706519549648556325841434843312042241472703020112115992435204109497067652723884369953849057131345059345982439827345092847145091842350981273459871458321098243593498348934598234098145091245845745091240912345931475871452221993493498324734583402901234912925903469023609823768684168426843682436846824645654268462546242684234365243284325436590349324982345923459832145097614359071642509832457234591249314598734590872134590871645098132450921347509237602389760914651346592451257153';\r\nassert(isequal(digit_sum(x),6))\r\n","published":true,"deleted":false,"likes_count":6,"comments_count":1,"created_by":1057,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":300,"test_suite_updated_at":"2017-11-16T13:16:47.000Z","rescore_all_solutions":true,"group_id":1,"created_at":"2013-01-02T18:59:46.000Z","updated_at":"2026-02-19T10:27:43.000Z","published_at":"2013-01-02T19:00:21.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven an integer, sum the digits repeatedly until you end up with a single value less than 10.\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 you add the digits of the number 123456789, you get 1+2+3+4+5+6+7+8+9 = 45, and then 4+5 = 9\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 input will be a string of digits. The output should be the scalar value of the repeated sum of digits.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":52619,"title":"Find the nth nude number","description":"The number 672 is a nude number because it openly displays three of its divisors: 6, 7, and 2. In other words, a nude number is divisible by its individual digits. \r\nWrite a function to return the th nude number.","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: 72px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 36px; transform-origin: 407px 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: 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: 363.683px 7.79167px; transform-origin: 363.683px 7.79167px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe number 672 is a nude number because it openly displays three of its divisors: 6, 7, and 2. In other words, a nude number is divisible by its individual digits. \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: 90.1px 7.79167px; transform-origin: 90.1px 7.79167px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eWrite a function to return the \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"font-family: \u0026quot;STIXGeneral\u0026quot;, \u0026quot;STIXGeneral-webfont\u0026quot;, serif; font-style: italic; font-weight: 400; color: rgb(0, 0, 0);\"\u003en\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: 5.83333px 7.79167px; transform-origin: 5.83333px 7.79167px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eth\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: 44.7333px 7.79167px; transform-origin: 44.7333px 7.79167px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e nude number.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = nudeNum(n)\r\n  y = f(n)\r\nend","test_suite":"%%\r\nn = 7;\r\ny_correct = 7;\r\nassert(isequal(nudeNum(n),y_correct))\r\n\r\n%%\r\nn = 17;\r\ny_correct = 44;\r\nassert(isequal(nudeNum(n),y_correct))\r\n\r\n%%\r\nn = 98;\r\ny_correct = 1236;\r\nassert(isequal(nudeNum(n),y_correct))\r\n\r\n%%\r\nn = 446;\r\ny_correct = 13248;\r\nassert(isequal(nudeNum(n),y_correct))\r\n\r\n%%\r\nn = 1151;\r\ny_correct = 46872;\r\nassert(isequal(nudeNum(n),y_correct))\r\n\r\n%%\r\nn = 9867;\r\ny_correct = 1148448;\r\nassert(isequal(nudeNum(n),y_correct))\r\n\r\n%%\r\nn = 10001;\r\ny_correct = 1164264;\r\nassert(isequal(nudeNum(n),y_correct))\r\n\r\n%%\r\nfiletext = fileread('nudeNum.m');\r\nillegal = contains(filetext, 'assignin') || contains(filetext, 'regexp') || contains(filetext, 'oeis'); \r\nassert(~illegal)","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":46909,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":19,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2021-08-26T04:39:55.000Z","updated_at":"2026-01-14T15:21:01.000Z","published_at":"2021-08-26T04:43:48.000Z","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\u003eThe number 672 is a nude number because it openly displays three of its divisors: 6, 7, and 2. In other words, a nude number is divisible by its individual digits. \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\u003eWrite a function to return the \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\u003cw:attr w:name=\\\"altTextString\\\" w:val=\\\"n\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003eth\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e nude number.\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":58926,"title":"Neural Net: Convolutional NN Matrices Determination for LED Digit images","description":"This challenge is to return final WH and WP matrices, given XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidden layer and Softmax on the output layer. Training images are LED binary matrices of digits 1:9 and 0. A fun extension is to add LED variants and see if trained WH/WP give expected result.\r\n[WP,WH]=ConvNN_Process(XImgset,K,WH,WP,EPY)\r\n \r\nThe matlab Latex code for making the CNN Processing chart included in template.\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: 691.5px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 345.75px; transform-origin: 407px 345.75px; vertical-align: baseline; \"\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=\"\"\u003eThis challenge is to return final WH and WP matrices, given XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidden layer and Softmax on the output layer. Training images are LED binary matrices of digits 1:9 and 0. A fun extension is to add LED variants and see if trained WH/WP give expected result.\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: 162.5px 8px; transform-origin: 162.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e[WP,WH]=ConvNN_Process(XImgset,K,WH,WP,EPY)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 529.5px; 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 264.75px; text-align: left; transform-origin: 384px 264.75px; 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: 875px;height: 524px\" 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data-image-state=\"image-loaded\" width=\"875\" height=\"524\"\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: 257px 8px; transform-origin: 257px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe matlab Latex code for making the CNN Processing chart included in template.\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 [WP,WH]=ConvNN_Process(XImg,K,WH,WP,EPY)\r\n %nX=size(XImg,3); %Number training images\r\n %nK=size(K,3); % Number kernels\r\n %XC=zeros(5,3,nK); %Pre-alloc for speed\r\n \r\n for epoch=1:1000 % Number of cycles to evolve WH and WP\r\n  dWH=0*WH;\r\n  dWP=0*WP;\r\n  for iCase=1:nX  %Cycle thru all Images while accumulating dWH and dWP\r\n %Forward Pass  X(7,5,nX)-Ximg,Conv-XC(5,3,nK),ReLU-XCY3(5,3,nK),XCY(1,nK*15+1)(1,91)\r\n % XCYV*WH-H(1,21), ReLU(H)-HY(1,21), HY*WP-P(1,10), Softmax(P)-PY\r\n   for k=1:nK\r\n    %XC(:,:,k)=(conv2(XImg(:,:,iCase),K(:,:,k),'valid')); %Use rot90 Kernel to make output align\r\n   end\r\n\r\n   %XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive; safer to leave in for K offset case\r\n   %XCY=[XCY3(:)' 1]; % 1,nK*15+1  (1,91)  add a 1 for offset term\r\n \r\n   %[dWPi,dWHi]=Neural_ReLU_Back_Propagation(XCY,WH,WP,EPY(iCase,:));\r\n \r\n %Accumulate across all sample cases\r\n   %dWP=dWP+dWPi;\r\n   %dWH=dWH+dWHi;\r\n \r\n  end % iCase\r\n\r\n  %WP=WP+dWP/nX; % dWP/nX  Valid\r\n  %WH=WH+dWH/nX; % Usage /nX^2 requires 10K epochs for \u003e.8 PYs\r\n\r\n end % epoch\r\nend %ConvNN_Process\r\n\r\nfunction [dWP,dWH]=Neural_ReLU_Back_Propagation(X,WH,WP,EPY)\r\n% X will be single case [X1 X2 ... XN 1]\r\n  LR=1; % Learning Rate\r\n  \r\n  H=X*WH;\r\n  HY=max(0,H); % ReLU\r\n  \r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 PY2 ... PYM]\r\n  \r\n  %Back Propagation Calculations\r\n  ErrPY=EPY-PY;\r\n  \r\n  dPY=PY.*(1-PY).*ErrPY;\r\n  dWP=LR*HY'.*dPY;\r\n  \r\n  dHY=HY.*(1-HY).*sum(WP.*dPY,2)';\r\n  dWH=LR*X'.*dHY;\r\nend % Neural_ReLU_Back_Propagation\r\n\r\n\r\n%{\r\nfunction NNConv_flow\r\n%Convolution neural net process flow\r\n\r\n%shape prep\r\nr = 10;r5=5;\r\nphi = 0:0.01:2*pi;\r\ncxA = r*cos(phi);\r\ncyA = r*sin(phi);\r\n\r\nrxA=[0 2*r 2*r   0 0]';rx5=[0 r r 0 0]';\r\nryA=[0   0 2*r 2*r 0]';ry5=[0 0 r r 0]';\r\n\r\n\r\nf=figure(1);clf;\r\nf.Position=[1935 122 1459 873]; % Dual Monitor setting\r\n\r\nplot([0;160;160;0;0],[-5;-5;100;100;-5],'k','linewidth',2);hold on\r\nxticks([]);yticks([]); %Ticks/Labels off\r\naxis equal;axis tight;\r\n\r\npatch(rxA*1.9+48,ryA+75,'y')\r\ntext(50,93,'Images','Fontsize',14);text(65,93,'Kernels','Fontsize',14);\r\nfor j=0:3\r\n plot(rx5+50+j,ry5+81-j,'k','linewidth',1);\r\n plot(rx5+65+j,ry5+81-j,'k','linewidth',1);\r\nend\r\ntext(79,90,'EPY','Fontsize',14);text(79,86,'WH','Fontsize',14);text(79,82,'WP','Fontsize',14);\r\ntext(49,76.5,'Initial Inputs','Fontsize',14);\r\nquiver(86,86,3,0,'k','LineWidth',3.5,'MaxHeadSize',1);\r\n\r\npatch(rxA*3.5+89,ryA*1.9+56,[1 .75 .4])\r\ntext(90,92.5,'Epoch:  Cycle over Training Images (1K to 10K)','Fontsize',14);\r\ntext(92,89,'Loop over Images to Update WP and WH','Fontsize',14);\r\ntext(92,86,'dWP=0;  dWH=0','Fontsize',14);\r\ntext(92,62,'WP = WP + dWP / nX   %nX = # Training images','Fontsize',14);\r\ntext(92,58,'WH = WH + dWH / nX','Fontsize',14);\r\n\r\npatch(rxA*3.3+91,ryA*0.95+65,[.75 1 .4])\r\ntext(92,82,'Cases:  Cycle thru Training Images','Fontsize',14);\r\ntext(94,79,'Loop over Convolutions per Training Image ','Fontsize',14);\r\ntext(94,75.5,'Create XC ( : , : , k ) - Convolution Planes Image_{i}','Fontsize',14);\r\ntext(96,73,'Create XCY - Convolution Set Vector [1,91]','Fontsize',14);\r\ntext(98,70,'Perform dWP dWH Back Propagation','Fontsize',14);\r\ntext(98,67,'Update dWP and dWH','Fontsize',14);\r\n\r\npatch(rxA*3.5+89,ryA*2.4+7,[.4 1 .75])\r\ntext(96,53,'Processing Numerical Convergence Concerns','Fontsize',14);\r\ntext(90,49,'Kernels need to be scaled(sum \u003c=1) or offset(sum~=0)','Fontsize',14);\r\ntext(90,45,'WH and WP require offset and scale normalization','Fontsize',14);\r\ntext(90,41,'WH=[(rand(90,20)-.5)/sqrt(90+20) zeros(90,1)]','Fontsize',14);\r\ntext(90,37,'WP=(rand(21,10)-.5)/sqrt(21+10);','Fontsize',14);\r\ntext(93,33,'Offset to achieve zero-sum','Fontsize',14);\r\ntext(93,29,'Scale to avoid large positive sum','Fontsize',14);\r\ntext(90,25,'nX factor for WP, WH updates needed for convergence','Fontsize',14);\r\ntext(90,21,'Scale mods change convergence rate and stability','Fontsize',14);\r\ntext(92,17,'(2*nX) requires 2K Epochs to achieve .90 Predictions','Fontsize',14);\r\ntext(90,13,'WH w=20 was arbitrary at 2 * # Classes','Fontsize',14);\r\ntext(90,9,'WH h=91 is conv(h*w)*Kernels +1 ','Fontsize',14);\r\n\r\npatch(rxA*3.5+89,ryA*.5-4,[1 .4 1])\r\ntext(90,4.5,'Kernels are to capture features','Fontsize',14);\r\ntext(90,1.5,'Internal Corners and Straights were selected','Fontsize',14);\r\ntext(90,-1.5,'Centering done for debugging (not required)','Fontsize',14);\r\n\r\ntext(1,97,'Convolution Neural Net: Forward Pass and Back Propagation WP \u0026 WH','Fontsize',20);\r\n\r\ntext(1,93.5,'\\color[rgb]{1 .5 .2}Ten Input Images(7x5) [Ringed by 0s]','Fontsize',12) %Valid\r\ntext(1,91,'\\bf 1  111 111 1 1 111 1   111 111 111 111','Fontsize',9,'Fontname','Courier')  %bf bold_font\r\ntext(1,91,'\\bf\\color{red}. .          .       ..','Fontsize',9,'Fontname','Courier')  %bold_font, color\r\ntext(1,89,'\\bf 1    1   1 1 1 1   1     1 1 1 1 1 1 1','Fontsize',9,'Fontname','Courier')\r\ntext(1,89,'\\bf\\color{red}. . ..  ..   .   ..  .. ..   .   .   . ','Fontsize',9,'Fontname','Courier')\r\ntext(1,87,'\\bf 1  111 111 111 111 111   1 111 111 1 1','Fontsize',9,'Fontname','Courier')\r\ntext(1,87,'\\bf\\color{red}. .                     ..           . ','Fontsize',9,'Fontname','Courier')\r\ntext(1,85,'\\bf 1  1     1   1   1 1 1   1 1 1   1 1 1','Fontsize',9,'Fontname','Courier')\r\ntext(1,85,'\\bf\\color{red}. .  .. ..  ..  ..   .  ..   .  ..   . ','Fontsize',9,'Fontname','Courier')\r\ntext(1,83,'\\bf 1  111 111   1 111 111   1 111   1 111','Fontsize',9,'Fontname','Courier')\r\ntext(1,83,'\\bf\\color{red}. .         ..          ..      ..','Fontsize',9,'Fontname','Courier')\r\n\r\ntext(1,80.5,'\\color[rgb]{1 .2 .5}Six Conv Kernels (3x3) TL TR LL LR V H','Fontsize',12) %Valid\r\ntext(1,78,'\\bf         1   1   1  ','Fontsize',9,'Fontname','Courier')  %bf bold_font\r\ntext(1,78,'\\bf\\color{red}... ... . . . . . . ...','Fontsize',9,'Fontname','Courier')  %bold_font, color\r\ntext(1,76,'\\bf 11 11   11 11   1  111','Fontsize',9,'Fontname','Courier')\r\ntext(1,76,'\\bf\\color{red}.     . .     . . .','Fontsize',9,'Fontname','Courier')\r\ntext(1,74,'\\bf.1. .1. ... ... .1. ...','Fontsize',9,'Fontname','Courier')\r\ntext(1,74,'\\bf\\color{red}. . . . ... ... . . ...','Fontsize',9,'Fontname','Courier')\r\n\r\ntext(1,71,'EPY=eye(10)','Fontsize',18,'Color','b');\r\ntext(1,66,'XC(:,:,k)=conv2(XImg(:,:,i),K(:,:,k),''valid'')  % [5,3]','Fontsize',18,'Color','b');\r\ntext(5,61,'XCY3=max(0,XC)  % ReLU [5,3,6]','Fontsize',18,'Color','b');\r\ntext(5,56,'XCY=[XCY3(:)'' 1]   % [1,91]','Fontsize',18,'Color','b');\r\n\r\nstr='$$ XCY*WH=H ; $$';\r\ntext(1,51,str,'Interpreter','latex','Fontsize',16);\r\nstr='$$ H=\\left[\\matrix{ H_{1} \u0026 ... \u0026 H_{20} \u0026 1} \\right]  $$'; \r\ntext(32,51,str,'Interpreter','latex','Fontsize',16);\r\n\r\nstr='$$ ReLU(H)=HY  $$'; \r\ntext(1,47,str,'Interpreter','latex','Fontsize',16);\r\nstr='$$ HY=\\left[\\matrix{ HY_{1} \u0026 ... \u0026 HY_{20} \u0026 1} \\right]  $$'; \r\ntext(32,47,str,'Interpreter','latex','Fontsize',16);\r\n\r\nstr='$$ HY*WP=P;  $$';\r\ntext(1,43,str,'Interpreter','latex','Fontsize',16);\r\nstr='$$ P=\\left[\\matrix{ P_{1} \u0026 ... \u0026 P_{10} } \\right]  $$'; \r\ntext(32,43,str,'Interpreter','latex','Fontsize',16);\r\n\r\nstr='$$ Softmax(P)=PY;  $$'; \r\ntext(1,39,str,'Interpreter','latex','Fontsize',16);\r\nstr='$$ PY=\\left[\\matrix{ PY_{1} \u0026 ... \u0026 PY_{10}} \\right]  $$'; \r\ntext(32,39,str,'Interpreter','latex','Fontsize',16);\r\n\r\ntext(5,34.5,'Softmax(P)=e^{P}/\\Sigmae^{P}','Fontsize',20,'Color',[1 .5 .2]);\r\n\r\ntext(1,28.5,'[ dWPi , dWHi ] = ...','Fontsize',18,'Color','b');\r\ntext(1,23.8,'Back\\_Prop\\_WP\\_WH ( XCY, WH, WP, EPY(i,:) )','Fontsize',18,'Color','b');\r\n\r\ntext(15,19,'WH','Fontsize',18);\r\nstr='$$ \\left[\\matrix{ WH_{1,1} \u0026 ... \u0026 WH_{1,20} \u0026 0 \\cr WH_{2,1} \u0026 ... \u0026 WH_{2,20} \u0026 0 \\cr : \u0026 : \u0026 : \u0026 0 \\cr WH_{90,1} \u0026 ... \u0026 WH_{90,20} \u0026 0 \\cr bH_{91,1} \u0026 ... \u0026 bH_{91,20} \u0026 1 } \\right]  $$'; %valid\r\ntext(1,6,str,'Interpreter','latex','Fontsize',18);\r\n\r\ntext(58,19,'WP','Fontsize',18);\r\nstr='$$ \\left[\\matrix{ WP_{1,1} \u0026 ... \u0026 WP_{1,10} \\cr WP_{2,1} \u0026 ... \u0026 WP_{2,10} \\cr : \u0026 : \u0026 :  \\cr WP_{20,1} \u0026 ... \u0026 WP_{20,10} \\cr bP_{21,1} \u0026 ... \u0026 bP_{21,10} } \\right]  $$'; %valid\r\ntext(48,6,str,'Interpreter','latex','Fontsize',18);\r\n\r\nend %NNConv_flow\r\n%}\r\n","test_suite":"%%\r\nImgsetstr= ... %5x3 digits 1:9 0\r\n ['010111111101111100111111111111';\r\n  '010001001101100100001101101101';\r\n  '010111111111111111001111111101';\r\n  '010100001001001101001101001101';\r\n  '010111111001111111001111001111'];\r\nImgsetv=Imgsetstr-'0';\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\nnClasses=10;\r\nEPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nKsetstr= ... %3x3 kernel mask (will be scaled/offset)\r\n ['000000010010010000'; %Centered corners and vert/horiz\r\n  '011110011110010111'; %Kernels are identifying Features\r\n  '010010000000010000'];\r\n\r\nKsetv=Ksetstr-'0';\r\nKh=size(Ksetv,1);\r\nnK=size(Ksetv,2)/Kh; %Number of Kernels\r\nKset=reshape(Ksetv,Kh,Kh,nK);\r\n%Kernel needs normalization either scale or offset; Two large scale slows convergence or possible fail\r\nKsetr90=rot90(Kset(:,:,:),2)/3; % Rotate and normalize 3, each kernel sum is 3 Valid  2-Fails\r\n%Ksetr90=rot90(Kset(:,:,:),2)-.5; % Rotate and offset -0.5  Valid \r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\n%Stability sensitive to WP and WH values; rand start needs offset and normalization\r\n% X(7,5,nX) XC(5,3,nK) (XCY(1,91) WH(91,21) WP(21,10)\r\nztic=tic;\r\nfor ztry=1:5 %Allow five processing attempts to get a working solution\r\nWH=[(rand(90,20)-.5)/sqrt(90+20) zeros(90,1)]; % 90=nK*15, 20 is arbitrary at 2*nCases WH(91,21)  Valid\r\nWH=[WH; zeros(1,20) 1]; % offset row, Start with zero bias\r\n\r\nWP=(rand(21,10)-.5)/sqrt(21+10);  % 10 output states  Valid\r\n\r\n[WP,WH]=ConvNN_Process(XImgset,Ksetr90,WH,WP,EPY);\r\nfprintf('Process Time: %.3f sec\\n\\n',toc(ztic));\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),Ksetr90(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 PY2]\r\n  [~,pcase]=max(PY,[],2);\r\n  [~,pexp]=max(EPY,[],2);\r\n  \r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  \r\n  if isequal(pcase,pexp),break;end\r\n  \r\nend % ztry  Allowed 5 trials as rand may not always converge\r\n  \r\nvalid=isequal(pcase,pexp);\r\nassert(valid)\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":3097,"edited_by":3097,"edited_at":"2023-08-30T05:22:25.000Z","deleted_by":null,"deleted_at":null,"solvers_count":3,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2023-08-30T04:01:42.000Z","updated_at":"2023-08-30T05:22:28.000Z","published_at":"2023-08-30T05:22:28.000Z","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\u003eThis challenge is to return final WH and WP matrices, given XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidden layer and Softmax on the output layer. Training images are LED binary matrices of digits 1:9 and 0. A fun extension is to add LED variants and see if trained WH/WP give expected result.\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[WP,WH]=ConvNN_Process(XImgset,K,WH,WP,EPY)\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=\\\"524\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"875\\\"/\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\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 matlab Latex code for making the CNN Processing chart included in template.\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 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Net: Convolutional NN Back Propagation WP/WH/K  LED Digit images; Variant Images Scored","description":"This challenge is to return final WH, WP, and K matrices, given initial XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidden layer and Softmax on the output layer. Training images are LED binary matrices of digits 1:9 and 0. Sets of variants will be tested to show success beyond the training set. (Scale, Offset, Noise, zeroed node(s), intra-shifts).\r\nBack Propagation on WH, WP, and K.  BP on K leads to much stronger solution.\r\n\r\nTest sets 2 thru 5 show various Pixelations of numbers and the Neural Net success rate. Just fun to look at the data.\r\nAppears more training sets required and possibly more nodes to have high success. One translate not good.\r\n[WP,WH,K]=ConvNN_Process(XImgset,K,WH,WP,EPY)\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: 751.5px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 375.75px; transform-origin: 407px 375.75px; vertical-align: baseline; \"\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: 383px 8px; transform-origin: 383px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThis challenge is to return final WH, WP, and K matrices, given initial XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidden layer and Softmax on the output layer. Training images are LED binary matrices of digits 1:9 and 0. Sets of variants will be tested to show success beyond the training set. (Scale, Offset, Noise, zeroed node(s), intra-shifts).\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: 250px 8px; transform-origin: 250px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eBack Propagation on WH, WP, and K.  BP on K leads to much stronger solution.\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\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: 363px 8px; transform-origin: 363px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eTest sets 2 thru 5 show various Pixelations of numbers and the Neural Net success rate. Just fun to look at the data.\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: 342px 8px; transform-origin: 342px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eAppears more training sets required and possibly more nodes to have high success. One translate not good.\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: 169px 8px; transform-origin: 169px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e[WP,WH,K]=ConvNN_Process(XImgset,K,WH,WP,EPY)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv 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\" data-image-state=\"image-loaded\" width=\"875\" height=\"524\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function [WP,WH,K]=ConvNN_Process(XImg,K,WH,WP,EPY)\r\n %nX=size(XImg,3); %Number training images\r\n %nK=size(K,3); % Number kernels\r\n %XC=zeros(5,3,nK); %Pre-alloc for speed\r\n %nClasses=size(EPY,2);\r\n \r\n for epoch=1:2000 % Number of cycles to evolve WH and WP\r\n   dK=0*K;\r\n  dWH=0*WH;\r\n  dWP=0*WP;\r\n  for iCase=1:nX  %Cycle thru all Images while accumulating dWH and dWP\r\n %Forward Pass  X(7,5,nX)-Ximg,Conv-XC(5,3,nK),ReLU-XCY3(5,3,nK),XCY(1,nK*15+1)(1,91)\r\n % XCYV*WH-H(1,21), ReLU(H)-HY(1,21), HY*WP-P(1,10), Softmax(P)-PY\r\n   X=XImg(:,:,iCase);\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(X,K(:,:,k),'valid')); %Use rot90 Kernel to make output align\r\n   end\r\n\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive; safer to leave in for K offset case\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15+1  (1,91)  add a 1 for offset term\r\n \r\n   %Back Propagation Processing for WP, WH, and K\r\n%   [dWPi, dWHi, dKi]=BP_WP_WH_K(X,K,XCY3,XCY,WH,WP,EPY(iCase,:));\r\n \r\n %Accumulate across all sample cases\r\n   dWP=dWP+dWPi;\r\n   dWH=dWH+dWHi;\r\n   dK=dK+dKi;\r\n \r\n  end % iCase\r\n  \r\n  WP=WP+dWP/nX; % dWP/nX  Valid\r\n  WH=WH+dWH/nX; % Usage /nX^2 requires 10K epochs for \u003e.8 PYs\r\n  K=K+dK/nX; %dPY, dHY standard  \r\n\r\n end % epoch\r\nend %ConvNN_Process\r\n\r\nfunction [dWP, dWH, dK]=BP_WP_WH_K(X,K,XCY3,XCY,WH,WP,EPY)\r\n%raz ReLU/Softmax\r\n  nK=size(XCY3,3); % Kernels\r\n  LR=1; % Learnign Rate\r\n  dK=0*K;\r\n  \r\n  %Forward Pass Processing\r\n  H=XCY*WH;\r\n%   HY=1./(1+exp(-H)); %Sigmoid\r\n%   HY(:,end)=1; %Sigmoid\r\n  HY=max(0,H); %ReLU\r\n  \r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 PY2]\r\n  \r\n  %Back Propagation Calculations\r\n  ErrPY=EPY-PY ;\r\n  dPY=PY.*(1-PY).*ErrPY; % Standard\r\n  dWP=LR*HY'.*dPY;\r\n  \r\n  %dHY=HY.*(1-HY).*sum(WP.*dPY,2)';\r\n  dHY=HY.*(1-HY).*(dPY*WP'); % alternate calc\r\n  dWH=LR*XCY'.*dHY;\r\n  \r\n  %Kernel Update  Fast and Strong\r\n  dXCY=dHY*WH'; %dXCY.*(1-dXCY) is unstable\r\n  dXCY3=reshape(dXCY(1:end-1),size(XCY3)); %1,90  no offset term. Create (5,3,6)\r\n  dK3=XCY3.*dXCY3; % 5x3,6    5x3,6 .* 5x3,6\r\n     \r\n  for c=1:nK\r\n   dK(:,:,c)=conv2(X,dK3(:,:,c),'valid');  % X  7x5 , dK3     5x3  dKi 3x3,6\r\n  end \r\n  \r\nend % BP_WP_WH_K\r\n\r\n","test_suite":"%%\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 1:9 0\r\n ['010111111101111100111111111111';\r\n  '010001001101100100001101101101';\r\n  '010111111111111111001111111101';\r\n  '010100001001001101001101001101';\r\n  '010111111001111111001111001111'];\r\nImgsetv=Imgsetstr-'0';\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\nnClasses=10;\r\nEPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nKsetstr= ... %3x3 kernel mask (will be scaled/offset)\r\n ['000000010010010000'; %Centered corners and vert/horiz\r\n  '011110011110010111'; %Kernels are identifying Features\r\n  '010010000000010000'];\r\n\r\nKsetv=Ksetstr-'0';\r\nKh=size(Ksetv,1);\r\nnK=size(Ksetv,2)/Kh; %Number of Kernels\r\nKset=reshape(Ksetv,Kh,Kh,nK);\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\n%Stability sensitive to WP and WH values; rand start needs offset and normalization\r\n% X(7,5,nX) XC(5,3,nK) (XCY(1,91) WH(91,21) WP(21,10)\r\nztic=tic;\r\nfor ztry=1:5 %Allow three processing attempts to get a working solution\r\n %Kset=rand(Kh,Kh,nK); % To use Random Kernel Start\r\n Ksetr90=(rot90(Kset(:,:,:),2)-.5); % Rotate and offset -0.5\r\n Kbase=Ksetr90;\r\n WH=[(rand(90,20)-.5)/sqrt(90+20) zeros(90,1)]; % 90=nK*15, 20 is arbitrary at 2*nCases WH(91,21)  Valid\r\n WH=[WH; zeros(1,20) 1]; % offset row, Start with zero bias\r\n\r\nWP=(rand(21,10)-.5)/sqrt(21+10);  % 10 output states  Valid\r\n\r\n[WP,WH,K]=ConvNN_Process(XImgset,Kbase,WH,WP,EPY);\r\nfprintf('Process Time: %.3f sec\\n\\n',toc(ztic));\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  [~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('Ideal Input Training Cases\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  %fprintf('\\n\\n');\r\n  if ~isequal(pcase,pexp),continue;end %Bad random draw, retry\r\n  \r\n  %Scaled-50%\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  XN=XImgset/2; %Scale to 7x5 Image planes\r\n  XNS=XN; %figure variable\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XN(:,:,iCase),K(:,:,k),'valid'));\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,Xpcase]=max(PY,[],2);\r\n  [~,Xpexp]=max(EPY,[],2);\r\n  \r\n  fprintf('50%s Scale - NN Strong Scale Invariance, Worst is 8\\n',char(37));\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',Xpexp(i),Xpcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(Xpcase==Xpexp)/nX,'%');\r\n  \r\n  %Scaled-50% and Noise 60% added\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  XN=XImgset/2+.3*(rand(size(XImgset))-.5); %Scale and add Noise to 7x5 Image planes\r\n  XNSn=XN; %figure variable\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XN(:,:,iCase),K(:,:,k),'valid'));\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,Xpcase]=max(PY,[],2);\r\n  [~,Xpexp]=max(EPY,[],2);\r\n  \r\n  fprintf('50%s Scale and 60%s Noise added - Kernel Update Strong\\n',char(37),'%');\r\n  %Note: double % is a special Cody sequence so using %s to write % character\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',Xpexp(i),Xpcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(Xpcase==Xpexp)/nX,'%');\r\n  \r\n\r\n  %Offset+50%\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  XN=XImgset-.5; %Offset to 7x5 Image planes\r\n  XNo=XN;\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XN(:,:,iCase),K(:,:,k),'valid'));\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,Xpcase]=max(PY,[],2);\r\n  [~,Xpexp]=max(EPY,[],2);\r\n  \r\n  fprintf('50%s Offset - NN Strong Offset Invariance - Kernel Update strong\\n',char(37));\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',Xpexp(i),Xpcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(Xpcase==Xpexp)/nX,'%');\r\n  \r\n  %Offset-50% Noise-60%\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  XN=XImgset-.5+.6*(rand(size(XImgset))-.5); %Offset to 7x5 Image planes\r\n  XNon=XN;\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XN(:,:,iCase),K(:,:,k),'valid'));\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,Xpcase]=max(PY,[],2);\r\n  [~,Xpexp]=max(EPY,[],2);\r\n  \r\n  fprintf('50%s Offset 60%s Noise - NN Strong Offset/Noise Invariance - Kernel Update Strong\\n',char(37),'%');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',Xpexp(i),Xpcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(Xpcase==Xpexp)/nX,'%');\r\n  \r\n\r\n  figure(1); imagesc([reshape(XImgset,7,[]);reshape(XNS,7,[]);reshape(XNSn,7,50); ...\r\n                      reshape(XNo,7,[]);reshape(XNon,7,50)]);\r\n  xticks([]);yticks([]);axis equal;axis tight\r\n  \r\n  figure(2); imagesc([reshape(Kbase,3,[]);zeros(1,18);reshape(K,3,[]);zeros(1,18); ...\r\n                      reshape(Kbase-K,3,[])]);\r\n  xticks([]);yticks([]);axis equal;axis tight\r\n  \r\n  if isequal(pcase,pexp),break;end\r\n  \r\nend % ztry  Allowed 5 trials as rand may not always converge\r\n  \r\nvalid=isequal(pcase,pexp);\r\nassert(valid)\r\n\r\n%%\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 1 variants,3 variants\r\n ['100001010010000011110011111011';\r\n  '100001010110010011110001001001';\r\n  '100001010010010011010111011011';\r\n  '100001010010010011010001001001';\r\n  '100001111010010011010111111011'];\r\nImgsetv=Imgsetstr-'0';\r\npexp=[1 1 1 1 1 1 1 3 3 3]';\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\n%nClasses=10;\r\n%EPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nnK=size(K,3); %Number of Kernels\r\n\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\nfigure; imagesc(reshape(XImgset,7,[]));\r\nxticks([]);yticks([]);axis equal;axis tight\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  %[~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('Morphed 1s and 3s; Need more training\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  fprintf('\\n\\n');\r\n\r\nassert(1)\r\n\r\n\r\n%%\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 2 variants,4 variants\r\n ['011011100111110001000101101001';\r\n  '001001010001001101101111101011';\r\n  '111111001010010111111001101111';\r\n  '100100010100100001001001111001';\r\n  '111110001111011001001001001001'];\r\nImgsetv=Imgsetstr-'0';\r\npexp=[2 2 2 2 2 4 4 4 4 4]';\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\n%nClasses=10;\r\n%EPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nnK=size(K,3); %Number of Kernels\r\n\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\nfigure; imagesc(reshape(XImgset,7,[]));\r\nxticks([]);yticks([]);axis equal;axis tight\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  %[~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('Morphed 1s and 3s; Need more training\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  fprintf('\\n\\n');\r\n\r\nassert(1)\r\n\r\n\r\n%%\r\n\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 5,6,7,8 variants\r\n ['110110010111110100011111010010';\r\n  '100100100100100100001001101100';\r\n  '111111111111111110001001010010';\r\n  '001001001101101101001010101001';\r\n  '111011010111111110001100010010'];\r\nImgsetv=Imgsetstr-'0';\r\npexp=[5 5 5 6 6 6 7 7  8 5 ]';\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\n%nClasses=10;\r\n%EPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nnK=size(K,3); %Number of Kernels\r\n\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\nfigure; imagesc(reshape(XImgset,7,[]));\r\nxticks([]);yticks([]);axis equal;axis tight\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  %[~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('Morphed 1s and 3s; Need more training\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  fprintf('\\n\\n');\r\n\r\nassert(1)\r\n\r\n\r\n%%\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 7,9,0 variants\r\n ['110111111011111010010111101101';\r\n  '010101101101111101000001101100';\r\n  '010111111111111101010011111111';\r\n  '010001001001111101000001101001';\r\n  '010011111001111010010001111001'];\r\nImgsetv=Imgsetstr-'0';\r\npexp=[1 9 9 9 10 10 1 7  8 4 ]'; %Shape/Missing LEDs\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\n%nClasses=10;\r\n%EPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nnK=size(K,3); %Number of Kernels\r\n\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\nfigure; imagesc(reshape(XImgset,7,[]));\r\nxticks([]);yticks([]);axis equal;axis tight\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  %[~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('More training needed\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  fprintf('\\n\\n');\r\n\r\nassert(1)\r\n\r\n\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":3097,"edited_by":3097,"edited_at":"2023-09-07T03:20:35.000Z","deleted_by":null,"deleted_at":null,"solvers_count":3,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2023-09-07T02:30:44.000Z","updated_at":"2023-09-07T03:20:35.000Z","published_at":"2023-09-07T03:20:35.000Z","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\u003eThis challenge is to return final WH, WP, and K matrices, given initial XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidden layer and Softmax on the output layer. 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Just fun to look at the data.\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\u003eAppears more training sets required and possibly more nodes to have high success. 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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":252,"title":"Project Euler: Problem 16, Sums of Digits of Powers of Two","description":"2^15 = 32768 and the sum of its digits is 3 + 2 + 7 + 6 + 8 = 26.\r\n\r\nWhat is the sum of the digits of the number 2^N?\r\n\r\nThanks to \u003chttp://projecteuler.net/problem=16 Project Euler Problem 16\u003e.","description_html":"\u003cp\u003e2^15 = 32768 and the sum of its digits is 3 + 2 + 7 + 6 + 8 = 26.\u003c/p\u003e\u003cp\u003eWhat is the sum of the digits of the number 2^N?\u003c/p\u003e\u003cp\u003eThanks to \u003ca href=\"http://projecteuler.net/problem=16\"\u003eProject Euler Problem 16\u003c/a\u003e.\u003c/p\u003e","function_template":"function y = pow2_sumofdigits(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 0;\r\ny_correct = 1;\r\nassert(isequal(pow2_sumofdigits(x),y_correct))\r\n\r\n%%\r\nx = 1;\r\ny_correct = 2;\r\nassert(isequal(pow2_sumofdigits(x),y_correct))\r\n\r\n%%\r\nx = 15;\r\ny_correct = 26;\r\nassert(isequal(pow2_sumofdigits(x),y_correct))\r\n\r\n%%\r\nx = 345;\r\ny_correct = 521;\r\nassert(isequal(pow2_sumofdigits(x),y_correct))\r\n\r\n%%\r\nx = 999;\r\ny_correct = 1367;\r\nassert(isequal(pow2_sumofdigits(x),y_correct))\r\n\r\n%%\r\nx = 2000;\r\ny_correct = 2704;\r\nassert(isequal(pow2_sumofdigits(x),y_correct))","published":true,"deleted":false,"likes_count":3,"comments_count":2,"created_by":134,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":178,"test_suite_updated_at":"2012-02-04T07:44:27.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2012-02-03T20:15:41.000Z","updated_at":"2026-01-15T22:21:41.000Z","published_at":"2012-02-04T07:53:38.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e2^15 = 32768 and the sum of its digits is 3 + 2 + 7 + 6 + 8 = 26.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWhat is the sum of the digits of the number 2^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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThanks to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"http://projecteuler.net/problem=16\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eProject Euler Problem 16\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":57745,"title":"Easy Sequences 100: One-line Code Challenge - 100th Digit of 100th power of an Integer","description":"Given a integer , write a function that computes the  digit of . If  has less than  digits just output a NaN.\r\nFor example if , the function should output: . \r\n-------------\r\nNOTE: The following restrictions apply:\r\nThe function should only have one (1) line of code, excluding the function start line.\r\nSemicolons (;) are considered end-of-line characters.\r\nPlease suppress the function end line. Keyword 'end' is not allowed.\r\nImporting libraries is not allowed.\r\nRegular expressions, base conversion and string manipulation are not allowed.","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: 245.667px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 122.833px; transform-origin: 407px 122.833px; 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: 56.5px 8px; transform-origin: 56.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eGiven a integer \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"font-family: \u0026quot;STIXGeneral\u0026quot;, \u0026quot;STIXGeneral-webfont\u0026quot;, serif; font-style: italic; font-weight: 400; color: rgb(0, 0, 0);\"\u003en\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: 126px 8px; transform-origin: 126px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e, write a function that computes the \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 33.5px; height: 19px;\" width=\"33.5\" height=\"19\"\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: 28.5px 8px; transform-origin: 28.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e digit of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 25.5px; height: 19px;\" width=\"25.5\" height=\"19\"\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-weight: 700; \"\u003e. \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=\"\"\u003eIf \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADMAAAAmCAYAAABpuqMCAAACvElEQVRYR+1YPUsdURDVHyD4kUqsjKWgRdRGC23iRy/aWQjGCFaioIVFQJNAGvETLOxUrP1KkRTaJFHQysLE0irRn2DOkTuPyc29u5cnu/t87MJhl92Zt+fM3Jm5+yoryuioLCMtFbmYUs1mnpnAzPTDbgmYBA4cPnW4907db8T1DHBp2YbaJVIznSDTB8waUgMOMSR4DXwGJoA/wBiwDrQqQaF2j69KYpm1GDJHOL8GXGJWcX8c6AJOVSbucP0LaDP3Qu0SEyPcfGIY7d/G6IXJiu1DkVeBdoVgJJGZODFchifAmcqA+Ezj4gOwABwG2s2JcxZihHCUmGMQ/GKExdn1lroYCtgLEPOP0FLNzLMRIy04avnw2SbAVh1nJ50vkdZc0g2ArbQB0JOZ07oeuAVuhL11jpozD8bWXua2T6jd48+5aobbkGagB2gHaoA3wAZAERxkHIY87oFuS2hcZvg8ahhycHYA3BWE2nnFSNS3YPHSMOO5CvgKvDf3OA94cCYUer0owfkH8AqI2s58x3NprVJL2l62M3F2XjHCR8iw578FWIiSBRl8tB0GdpQIbmcGAdmb0W8e+AYw2nIwaFMAz+cAA7YM6O0NbUPtvA1Abzm4xEaBT4q0RJEvs7ckim+6l745w7rZN1SYGRY5syOHrGU+K0zgdKn//zafGCFLD+5imyxXFikbA78/PmYtQt7vE/PTrGHa2QXMmrgwP6C/PTLX5BKjye6C4ZDFUuqFbbk2cwWKgEuMLm5XW5XBtmbVUea6XGKErCvyustJS2ZbXgTsb/fUxbnEyBbCFXkuuW3Dki2Zf0hQtGtoZi5Gt2TXEtNLkMOQnc6uqdRF+LoZiY2Yh675wWW2AlQDW4Ce/JmJ8InJnNBTCCT5pfkUXkX55mKKClsKTnlmUghyUa/IM1NU2FJwKqvM/AUIosonZGmErQAAAABJRU5ErkJggg==\" style=\"width: 25.5px; height: 19px;\" width=\"25.5\" height=\"19\"\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=\"\"\u003e has less than \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 25.5px; height: 18px;\" width=\"25.5\" height=\"18\"\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: 55.5px 8px; transform-origin: 55.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e digits just output a \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: 12px 8px; transform-origin: 12px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; font-weight: 700; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003eNaN\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: 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: 46.5px 8px; transform-origin: 46.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example if \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 100px; height: 18.5px;\" width=\"100\" height=\"18.5\"\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: 90px 8px; transform-origin: 90px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, the function should output: \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 78px; height: 18.5px;\" width=\"78\" height=\"18.5\"\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: 4px 8px; transform-origin: 4px 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: 32.5px 8px; transform-origin: 32.5px 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: 23px 8px; transform-origin: 23px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eNOTE: \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: 99px 8px; transform-origin: 99px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe following restrictions apply:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 103.167px; 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 51.5833px; transform-origin: 391px 51.5833px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; 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=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 262px 8px; transform-origin: 262px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe function should only have one (1) line of code, excluding the function start line.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; block-size: 20.9333px; 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 10.4667px; text-align: left; transform-origin: 363px 10.4667px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 40.5px 8px; transform-origin: 40.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eSemicolons (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; 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-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 125.5px 8px; transform-origin: 125.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e) are considered end-of-line characters.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; block-size: 20.9333px; 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 10.4667px; text-align: left; transform-origin: 363px 10.4667px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 153px 8px; transform-origin: 153px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003ePlease suppress the function end line. Keyword '\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; font-weight: 700; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003eend'\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 46.5px 8px; transform-origin: 46.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e is not allowed.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; 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=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 102.5px 8px; transform-origin: 102.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eImporting libraries is not allowed.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; 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=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 248px 8px; transform-origin: 248px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eRegular expressions, base conversion and string manipulation are not allowed.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function d = digpow100(n)\r\n    import java.math.BigInteger\r\n    s = arrayfun(@(a) char(BigInteger(num2str(a)).pow(100)),n,'uni',0);\r\n    d = cellfun(@(a) str2num(a(100)),s);","test_suite":"%%\r\nn = 25;\r\nd_correct = 6;\r\nassert(isequal(digpow100(n),d_correct))\r\n%%\r\nn = 1:20;\r\nd_correct = [repelem(NaN,9) 0 4 3 0 1 1 1 3 8 4 0];\r\nassert(isequaln(digpow100(n),d_correct))\r\n%%\r\nn = 41:50;\r\nd_correct = [4 1 0 6 1 1 1 6 5 0];\r\nassert(isequaln(digpow100(n),d_correct))\r\n%%\r\nn = [111 222 333 444 555];\r\nd_correct = [0 2 3 3 6];\r\nassert(isequal(digpow100(n),d_correct))\r\n%%\r\nn = 12345;\r\nd_correct = 8;\r\nassert(isequal(digpow100(n),d_correct))\r\n%%\r\nn = 123456789;\r\nd_correct = 0;\r\nassert(isequal(digpow100(n),d_correct))\r\n%%\r\nimport java.math.BigInteger\r\nn = randi(10000,1,10)\r\nf = @(a) char(BigInteger(num2str(a)).pow(100));\r\nd_correct = [];\r\nfor a = n\r\n    if a \u003c 10\r\n        d_correct = [d_correct NaN];\r\n    else\r\n        b = f(a);\r\n        d_correct = [d_correct str2num(b(100))];\r\n    end\r\nend\r\nassert(isequal(digpow100(n),d_correct))\r\n%%\r\nfiletext = fileread('digpow100.m');\r\nnot_allowed = contains(filetext, 'import') || contains(filetext, 'str2') || contains(filetext, 'num2') || contains(filetext, 'dec2') || contains(filetext, 'base2') || contains(filetext, 'sprintf') || contains(filetext, 'regex') || contains(filetext, 'eval') || contains(filetext, 'assignin') || contains(filetext, 'end');\r\nassert(~not_allowed)\r\nc = 0;\r\nfor s = deblank(strtrim(splitlines(filetext)))'\r\n    if ~isempty(s{1}) \u0026\u0026 ~isequal(s{1}(1),'%')\r\n        c = c + numel(find(s{1}==';'));\r\n        if  ~isequal(s{1}(end),';')\r\n            c = c + 1;\r\n        end\r\n    end\r\nend\r\nassert(c\u003c=2)","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":255988,"edited_by":255988,"edited_at":"2023-03-06T03:48:34.000Z","deleted_by":null,"deleted_at":null,"solvers_count":2,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2023-03-03T04:05:24.000Z","updated_at":"2023-03-06T03:48:34.000Z","published_at":"2023-03-05T17:27:44.000Z","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:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eGiven a integer \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\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e, write a function that computes the \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\u003e100^{\\\\text{th}}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e digit of \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\u003en^{100}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e. \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003eIf \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\u003en^{100}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e has less than \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\u003e100\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e digits just output a \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNaN\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\u003eFor example if \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\u003ep = [9,\\\\ 10,\\\\ 11]\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e, the function should output: \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[\\\\text{NaN},\\\\ 0,\\\\ 4]\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\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\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:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNOTE: \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003eThe following restrictions apply:\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 function should only have one (1) line of code, excluding the function start line.\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\u003eSemicolons (\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\u003e;\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) are considered end-of-line characters.\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\u003ePlease suppress the function end line. Keyword '\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eend'\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is not allowed.\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\u003eImporting libraries is not allowed.\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\u003eRegular expressions, base conversion and string manipulation are not allowed.\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":273,"title":"Recurring Cycle Length (Inspired by Project Euler Problem 26)","description":"Preface: This problem is inspired by Project Euler Problem 26 and uses text from that question to explain what a recurring cycle is.\r\nDescription\r\nA unit fraction contains 1 in the numerator. The decimal representation of the unit fractions with denominators 2 to 10 are given:\r\n1/2  =   0.5\r\n1/3  =  0.(3)\r\n1/4  =   0.25\r\n1/5  =   0.2\r\n1/6  =   0.1(6)\r\n1/7  =   0.(142857)\r\n1/8  =   0.125\r\n1/9  =   0.(1)\r\n1/10 =   0.1\r\nWhere 0.1(6) means 0.166666..., and has a 1-digit recurring cycle. It can be seen that 1/7 has a 6-digit recurring cycle.\r\nCreate a function that can determine the length of the recurring cycle of 1/d given d.","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: 377.9px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 188.95px; transform-origin: 407px 188.95px; 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: 113px 8px; transform-origin: 113px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003ePreface: This problem is inspired 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: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003ca target='_blank' href = \"/#null\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eProject Euler Problem 26\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: 190px 8px; transform-origin: 190px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and uses text from that question to explain what a recurring cycle is.\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: 40.5px 8px; transform-origin: 40.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eDescription\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: 382px 8px; transform-origin: 382px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eA unit fraction contains 1 in the numerator. The decimal representation of the unit fractions with denominators 2 to 10 are given:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 183.9px; 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 91.95px; transform-origin: 404px 91.95px; 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: 48px 8.5px; tab-size: 4; transform-origin: 48px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1/2  =   0.5\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: 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: 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; \"\u003e1/3  =  0.(3)\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: 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; \"\u003e1/4  =   0.25\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: 48px 8.5px; tab-size: 4; transform-origin: 48px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1/5  =   0.2\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: 60px 8.5px; tab-size: 4; transform-origin: 60px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1/6  =   0.1(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: 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: 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; \"\u003e1/7  =   0.(142857)\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: 56px 8.5px; tab-size: 4; transform-origin: 56px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1/8  =   0.125\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: 56px 8.5px; tab-size: 4; transform-origin: 56px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1/9  =   0.(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: 48px 8.5px; tab-size: 4; transform-origin: 48px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1/10 =   0.1\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: 374.5px 8px; transform-origin: 374.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eWhere 0.1(6) means 0.166666..., and has a 1-digit recurring cycle. It can be seen that 1/7 has a 6-digit recurring cycle.\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: 264.5px 8px; transform-origin: 264.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eCreate a function that can determine the length of the recurring cycle of 1/d given d.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function L = recurring_cycle(d)\r\n    L = d;\r\nend","test_suite":"%%\r\nx = 1;\r\ny_correct = 0;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 2;\r\ny_correct = 0;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 3;\r\ny_correct = 1;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 4;\r\ny_correct = 0;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 5;\r\ny_correct = 0;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 6;\r\ny_correct = 1;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 7;\r\ny_correct = 6;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 8;\r\ny_correct = 0;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 9;\r\ny_correct = 1;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 10;\r\ny_correct = 0;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 17;\r\ny_correct = 16;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 19;\r\ny_correct = 18;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 29;\r\ny_correct = 28;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 19;\r\ny_correct = 18;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 109;\r\ny_correct = 108;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 197;\r\ny_correct = 98;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 223;\r\ny_correct = 222;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 2^randi(10);\r\ny_correct = 0;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 1977;\r\ny_correct = 658;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 12345;\r\ny_correct = 822;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = randi(6)*3;\r\ny_correct = 1;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":2,"created_by":134,"edited_by":223089,"edited_at":"2023-02-02T10:48:13.000Z","deleted_by":null,"deleted_at":null,"solvers_count":161,"test_suite_updated_at":"2023-02-02T10:48:13.000Z","rescore_all_solutions":false,"group_id":44,"created_at":"2012-02-06T22:59:19.000Z","updated_at":"2026-01-05T00:27:32.000Z","published_at":"2012-02-23T17:44:12.000Z","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\u003ePreface: This problem is inspired by\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eProject Euler Problem 26\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e and uses text from that question to explain what a recurring cycle 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:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eDescription\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\u003eA unit fraction contains 1 in the numerator. The decimal representation of the unit fractions with denominators 2 to 10 are given:\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[1/2  =   0.5\\n1/3  =  0.(3)\\n1/4  =   0.25\\n1/5  =   0.2\\n1/6  =   0.1(6)\\n1/7  =   0.(142857)\\n1/8  =   0.125\\n1/9  =   0.(1)\\n1/10 =   0.1]]\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\u003eWhere 0.1(6) means 0.166666..., and has a 1-digit recurring cycle. It can be seen that 1/7 has a 6-digit recurring cycle.\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\u003eCreate a function that can determine the length of the recurring cycle of 1/d given d.\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":58951,"title":"Neural Net: Convolutional NN wK Evolve Matrices Determination for LED Digit images; Variant Images Scored","description":"This challenge is to return final WH, WP, and K matrices, given initial XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidden layer and Softmax on the output layer. Training images are LED binary matrices of digits 1:9 and 0. Sets of variants will be tested to show success beyond the training set. (Scale, Offset, Noise, zeroed node(s), intra-shifts).\r\nBack Propagation on WH and WP. Custom K evolve algorithm provided. Standard Back Propagation for K in future. \r\n\r\nTest sets 2 thru 5 show various Pixelations of numbers and the Neural Net success rate. Just fun to look at the data.\r\nAppears more training sets required and possibly more nodes to have high success. One translate not good.\r\n[WP,WH,dK]=ConvNN_Process(XImgset,K,WH,WP,EPY)\r\n \r\nThe matlab Latex code for making the CNN Processing chart included in template.","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: 781.5px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 390.75px; transform-origin: 407px 390.75px; vertical-align: baseline; \"\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: 383px 8px; transform-origin: 383px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThis challenge is to return final WH, WP, and K matrices, given initial XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidden layer and Softmax on the output layer. Training images are LED binary matrices of digits 1:9 and 0. Sets of variants will be tested to show success beyond the training set. (Scale, Offset, Noise, zeroed node(s), intra-shifts).\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: 362.5px 8px; transform-origin: 362.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eBack Propagation on WH and WP. Custom K evolve algorithm provided. Standard Back Propagation for K in future. \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\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: 363px 8px; transform-origin: 363px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eTest sets 2 thru 5 show various Pixelations of numbers and the Neural Net success rate. Just fun to look at the data.\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: 342px 8px; transform-origin: 342px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eAppears more training sets required and possibly more nodes to have high success. One translate not good.\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: 173px 8px; transform-origin: 173px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"border-block-end-style: solid; border-block-end-width: 1px; border-bottom-style: solid; border-bottom-width: 1px; perspective-origin: 2px 8.5px; transform-origin: 2px 8.5px; \"\u003e[\u003c/span\u003e\u003cspan style=\"perspective-origin: 33.5px 8px; transform-origin: 33.5px 8px; \"\u003eWP,WH,dK\u003c/span\u003e\u003cspan style=\"border-block-end-style: solid; border-block-end-width: 1px; border-bottom-style: solid; border-bottom-width: 1px; perspective-origin: 2px 8.5px; transform-origin: 2px 8.5px; \"\u003e]\u003c/span\u003e\u003cspan style=\"perspective-origin: 135.5px 8px; transform-origin: 135.5px 8px; \"\u003e=ConvNN_Process(XImgset,K,WH,WP,EPY)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 529.5px; 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 264.75px; text-align: left; transform-origin: 384px 264.75px; 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: 875px;height: 524px\" 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\" data-image-state=\"image-loaded\" width=\"875\" height=\"524\"\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: 257px 8px; transform-origin: 257px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe matlab Latex code for making the CNN Processing chart included in template.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function [WP,WH,dK]=ConvNN_Process(XImg,Kbase,WH,WP,EPY)\r\n %K=Kbase; % Required to calc dK\r\n %nX=size(XImg,3); %Number training images\r\n %nK=size(K,3); % Number kernels\r\n %XC=zeros(5,3,nK); %Pre-alloc for speed\r\n %nClasses=size(EPY,2);\r\n \r\n for epoch=1:2000 % Number of cycles to evolve WH and WP\r\n  dWH=0*WH;\r\n  dWP=0*WP;\r\n  for iCase=1:nX  %Cycle thru all Images while accumulating dWH and dWP\r\n %Forward Pass  X(7,5,nX)-Ximg,Conv-XC(5,3,nK),ReLU-XCY3(5,3,nK),XCY(1,nK*15+1)(1,91)\r\n % XCYV*WH-H(1,21), ReLU(H)-HY(1,21), HY*WP-P(1,10), Softmax(P)-PY\r\n   for k=1:nK\r\n    %XC(:,:,k)=(conv2(XImg(:,:,iCase),K(:,:,k),'valid')); %Use rot90 Kernel to make output align\r\n   end\r\n\r\n   %XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive; safer to leave in for K offset case\r\n   %XCY=[XCY3(:)' 1]; % 1,nK*15+1  (1,91)  add a 1 for offset term\r\n \r\n   %[dWPi,dWHi]=Neural_ReLU_Back_Propagation(XCY,WH,WP,EPY(iCase,:));\r\n \r\n %Accumulate across all sample cases\r\n   %dWP=dWP+dWPi;\r\n   %dWH=dWH+dWHi;\r\n \r\n  end % iCase\r\n  \r\n  dKi=evolve_Kraz(epoch,XImg,WH,WP,K,nX,nK,nClasses);\r\n  K=K+dKi;\r\n  \r\n\r\n  %WP=WP+dWP/nX; % dWP/nX  Valid\r\n  %WH=WH+dWH/nX; % Usage /nX^2 requires 10K epochs for \u003e.8 PYs\r\n\r\n end % epoch\r\n dK=Kbase-K;\r\nend %ConvNN_Process\r\n\r\nfunction [dWP,dWH]=Neural_ReLU_Back_Propagation(X,WH,WP,EPY)\r\n% X will be single case [X1 X2 ... XN 1]\r\n  LR=1; % Learning Rate\r\n  \r\n  H=X*WH;\r\n  HY=max(0,H); % ReLU\r\n  \r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 PY2 ... PYM]\r\n  \r\n  %Back Propagation Calculations\r\n  ErrPY=EPY-PY;\r\n  \r\n  dPY=PY.*(1-PY).*ErrPY;\r\n  dWP=LR*HY'.*dPY;\r\n  \r\n  dHY=HY.*(1-HY).*sum(WP.*dPY,2)';\r\n  dWH=LR*X'.*dHY;\r\nend % Neural_ReLU_Back_Propagation\r\n\r\nfunction [dK]=evolve_Kraz(epoch,XImgset,WH,WP,K,nX,nK,nClasses)\r\n%This is not standard back propagation for K.\r\n%This is a much slower raz original K evolve of 1 pixel per kernel by small delta\r\n%selected based upon full PY matrix of training\r\n%Random start does better than pre-defined features\r\n%Singular pixel required for stability. Small step size .0001\r\n%Kernel Forward sensitivity and Update based on +/- Sum prediction direction\r\n%Harder to make work than expected\r\n%Have not solved standard back propagation for defined X,WH,WP,K dimensions\r\n\r\n dK=0*K;\r\n XC=zeros(5,3,nK);\r\n if ~mod(epoch,10)==0,return;end % Option to reduce K update rate due to Slowness\r\n PYmask=-ones(nX,nClasses)+10*eye(nClasses); % One sample per class, Know it is 10\r\n        %Wt factor of 9 for truth diag and -1 for all non-truth answers;\r\n mXCY=zeros(nX,91);\r\n%Create Baseline mPY (nX,10)\r\n for iCase=1:nX  %Cycle thru all Images create mXCY\r\n  for k=1:nK\r\n   XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n  end\r\n  XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n  mXCY(iCase,:)=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n end\r\n mPY=Neural_ReLU_Forward(mXCY,WH,WP);\r\n\r\n for pK=1:nK %For each Kernel tweak one pixel +.1 then -.1 to see PY response ALL Images\r\n  for rK=1:3\r\n   for cK=1:3\r\n    eK=K;\r\n   \r\n    eK(rK,cK,pK)=K(rK,cK,pK)+.1;\r\n    for iCase=1:nX  %Cycle thru all Images create mXCY\r\n     for k=1:nK\r\n      XC(:,:,k)=(conv2(XImgset(:,:,iCase),eK(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n     end\r\n     XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n     mXCY(iCase,:)=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n    end\r\n    \r\n    mPYK=Neural_ReLU_Forward(mXCY,WH,WP); %Performance All Training for single Pixel Tweaked\r\n    mPYD=mPYK-mPY;\r\n    dsump=sum(sum(PYmask.*mPYD)); %Improvement\r\n    if dsump\u003c0, dsump=0;end\r\n    dK(rK,cK,pK)=dsump; \r\n   \r\n    eK(rK,cK,pK)=K(rK,cK,pK)-.2; % Net -.1\r\n    for iCase=1:nX  %Cycle thru all Images create mXCY\r\n     for k=1:nK\r\n      XC(:,:,k)=(conv2(XImgset(:,:,iCase),eK(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n     end\r\n     XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n     mXCY(iCase,:)=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n    end\r\n    \r\n    [mPYK]=Neural_ReLU_Forward(mXCY,WH,WP); %Performance All Training for single Pixel Tweaked\r\n    mPYD=mPYK-mPY;\r\n    dsumn=sum(sum(PYmask.*mPYD)); %Improvement\r\n    if dsumn\u003c0, dsumn=0;end\r\n    if dsumn\u003edsump\r\n     dK(rK,cK,pK)=-dsumn;\r\n    end\r\n  end % cK\r\n end%rK\r\nend % pK\r\n\r\n%Adjust only one pixel per kernel\r\n for k=1:nK\r\n  mK=dK(:,:,k);\r\n  [kr,kc]=find(abs(mK)==max(abs(mK(:))),1,'first');\r\n  dK(:,:,k)=0;\r\n  dK(kr,kc,k)=.001*sign(mK(kr,kc));\r\n end\r\n\r\nend %Evolve_K\r\n\r\nfunction [PY]=Neural_ReLU_Forward(X,WH,WP)\r\n%raz ReLU/Softmax\r\n  n=1;\r\n  \r\n  H=X*WH;\r\n%   HY=1./(1+exp(-H)); %[HY1 HY2 1]  .6803 .6637 1 Sigmoid\r\n%   HY(:,end)=1; %Sigmoid\r\n  HY=max(0,H);\r\n  \r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 PY2]\r\n  \r\nend % Neural_ReLU_Forward\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n","test_suite":"%%\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 1:9 0\r\n ['010111111101111100111111111111';\r\n  '010001001101100100001101101101';\r\n  '010111111111111111001111111101';\r\n  '010100001001001101001101001101';\r\n  '010111111001111111001111001111'];\r\nImgsetv=Imgsetstr-'0';\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\nnClasses=10;\r\nEPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nKsetstr= ... %3x3 kernel mask (will be scaled/offset)\r\n ['000000010010010000'; %Centered corners and vert/horiz\r\n  '011110011110010111'; %Kernels are identifying Features\r\n  '010010000000010000'];\r\n\r\nKsetv=Ksetstr-'0';\r\nKh=size(Ksetv,1);\r\nnK=size(Ksetv,2)/Kh; %Number of Kernels\r\n%Kset=reshape(Ksetv,Kh,Kh,nK);\r\n%Kset=rand(Kh,Kh,nK); % Using Random Start\r\n%Kernel needs normalization either scale or offset; Two large scale slows convergence or possible fail\r\n%Ksetr90=rot90(Kset(:,:,:),2)/3; % Rotate and normalize 3, each kernel sum is 3 Valid  2-Fails\r\n%Ksetr90=(rot90(Kset(:,:,:),2)-.5)/5; % Rotate and offset -0.5  Valid \r\n%Kbase=Ksetr90;\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\n%Stability sensitive to WP and WH values; rand start needs offset and normalization\r\n% X(7,5,nX) XC(5,3,nK) (XCY(1,91) WH(91,21) WP(21,10)\r\nztic=tic;\r\nfor ztry=1:5 %Allow three processing attempts to get a working solution\r\n Kset=rand(Kh,Kh,nK); % Using Random Starts\r\n Ksetr90=(rot90(Kset(:,:,:),2)-.5)/5; % Rotate and offset -0.5  and scaled\r\n Kbase=Ksetr90;\r\n WH=[(rand(90,20)-.5)/sqrt(90+20) zeros(90,1)]; % 90=nK*15, 20 is arbitrary at 2*nCases WH(91,21)  Valid\r\n WH=[WH; zeros(1,20) 1]; % offset row, Start with zero bias\r\n\r\nWP=(rand(21,10)-.5)/sqrt(21+10);  % 10 output states  Valid\r\n\r\n[WP,WH,dK]=ConvNN_Process(XImgset,Kbase,WH,WP,EPY);\r\nK=Kbase-dK;\r\nfprintf('Process Time: %.3f sec\\n\\n',toc(ztic));\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  [~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('Ideal Input Training Cases\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  %fprintf('\\n\\n');\r\n  if ~isequal(pcase,pexp),continue;end %Bad random draw, retry\r\n  \r\n  %Scaled-50%\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  XN=XImgset/2; %Scale to 7x5 Image planes\r\n  XNS=XN; %figure variable\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XN(:,:,iCase),K(:,:,k),'valid'));\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,Xpcase]=max(PY,[],2);\r\n  [~,Xpexp]=max(EPY,[],2);\r\n  \r\n  fprintf('50%s Scale - NN Strong Scale Invariance, Worst is 8\\n',char(37));\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',Xpexp(i),Xpcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(Xpcase==Xpexp)/nX,'%');\r\n  \r\n  %Scaled-50% and Noise 60% added\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  XN=XImgset/2+.3*(rand(size(XImgset))-.5); %Scale and add Noise to 7x5 Image planes\r\n  XNSn=XN; %figure variable\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XN(:,:,iCase),K(:,:,k),'valid'));\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,Xpcase]=max(PY,[],2);\r\n  [~,Xpexp]=max(EPY,[],2);\r\n  \r\n  fprintf('50%s Scale and 60%s Noise added - Imperfect Results Expected\\n',char(37),'%');\r\n  %Note: double % is a special Cody sequence so using %s to write % character\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',Xpexp(i),Xpcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(Xpcase==Xpexp)/nX,'%');\r\n  \r\n\r\n  %Offset+50%\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  XN=XImgset-.5; %Offset to 7x5 Image planes\r\n  XNo=XN;\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XN(:,:,iCase),K(:,:,k),'valid'));\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,Xpcase]=max(PY,[],2);\r\n  [~,Xpexp]=max(EPY,[],2);\r\n  \r\n  fprintf('50%s Offset - NN Somewhat Strong Offset Invariance - Weak 1,3,8,9\\n',char(37));\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',Xpexp(i),Xpcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(Xpcase==Xpexp)/nX,'%');\r\n  \r\n  %Offset-50% Noise-60%\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  XN=XImgset-.5+.6*(rand(size(XImgset))-.5); %Offset to 7x5 Image planes\r\n  XNon=XN;\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XN(:,:,iCase),K(:,:,k),'valid'));\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,Xpcase]=max(PY,[],2);\r\n  [~,Xpexp]=max(EPY,[],2);\r\n  \r\n  fprintf('50%s Offset 60%s Noise - NN Mildly Strong Offset/Noise Invariance - Weak 1,3,8,9\\n',char(37),'%');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',Xpexp(i),Xpcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(Xpcase==Xpexp)/nX,'%');\r\n  \r\n\r\n  figure(1); imagesc([reshape(XImgset,7,[]);reshape(XNS,7,[]);reshape(XNSn,7,50); ...\r\n                      reshape(XNo,7,[]);reshape(XNon,7,50)]);\r\n  %xticks([]);yticks([]);axis equal;axis tight\r\n  \r\n  %figure(1); imagesc([reshape(XImgset,7,[]);reshape(XNS,7,[]);reshape(XNSn,7,50);reshape(XNo,7,[])]);\r\n  xticks([]);yticks([]);axis equal;axis tight\r\n  \r\n  figure(2); imagesc([reshape(Kbase,3,[]);zeros(1,18);reshape(K,3,[]);zeros(1,18); ...\r\n                      reshape(-dK,3,[])]);\r\n  xticks([]);yticks([]);axis equal;axis tight\r\n  \r\n  if isequal(pcase,pexp),break;end\r\n  \r\nend % ztry  Allowed 5 trials as rand may not always converge\r\n  \r\nvalid=isequal(pcase,pexp);\r\nassert(valid)\r\n\r\n%%\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 1 variants,3 variants\r\n ['100001010010000011110011111011';\r\n  '100001010110010011110001001001';\r\n  '100001010010010011010111011011';\r\n  '100001010010010011010001001001';\r\n  '100001111010010011010111111011'];\r\nImgsetv=Imgsetstr-'0';\r\npexp=[1 1 1 1 1 1 1 3 3 3]';\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\n%nClasses=10;\r\n%EPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nnK=size(K,3); %Number of Kernels\r\n\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\nfigure; imagesc(reshape(XImgset,7,[]));\r\nxticks([]);yticks([]);axis equal;axis tight\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  %[~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('Morphed 1s and 3s; Need more training\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  fprintf('\\n\\n');\r\n\r\nassert(1)\r\n\r\n\r\n%%\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 2 variants,4 variants\r\n ['011011100111110001000101101001';\r\n  '001001010001001101101111101011';\r\n  '111111001010010111111001101111';\r\n  '100100010100100001001001111001';\r\n  '111110001111011001001001001001'];\r\nImgsetv=Imgsetstr-'0';\r\npexp=[2 2 2 2 2 4 4 4 4 4]';\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\n%nClasses=10;\r\n%EPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nnK=size(K,3); %Number of Kernels\r\n\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\nfigure; imagesc(reshape(XImgset,7,[]));\r\nxticks([]);yticks([]);axis equal;axis tight\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  %[~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('Morphed 1s and 3s; Need more training\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  fprintf('\\n\\n');\r\n\r\nassert(1)\r\n\r\n\r\n%%\r\n\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 5,6,7,8 variants\r\n ['110110010111110100011111010010';\r\n  '100100100100100100001001101100';\r\n  '111111111111111110001001010010';\r\n  '001001001101101101001010101001';\r\n  '111011010111111110001100010010'];\r\nImgsetv=Imgsetstr-'0';\r\npexp=[5 5 5 6 6 6 7 7  8 5 ]';\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\n%nClasses=10;\r\n%EPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nnK=size(K,3); %Number of Kernels\r\n\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\nfigure; imagesc(reshape(XImgset,7,[]));\r\nxticks([]);yticks([]);axis equal;axis tight\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  %[~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('Morphed 1s and 3s; Need more training\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  fprintf('\\n\\n');\r\n\r\nassert(1)\r\n\r\n\r\n%%\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 7,9,0 variants\r\n ['110111111011111010010111101101';\r\n  '010101101101111101000001101100';\r\n  '010111111111111101010011111111';\r\n  '010001001001111101000001101001';\r\n  '010011111001111010010001111001'];\r\nImgsetv=Imgsetstr-'0';\r\npexp=[1 9 9 9 10 10 1 7  8 4 ]'; %Shape/Missing LEDs\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\n%nClasses=10;\r\n%EPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nnK=size(K,3); %Number of Kernels\r\n\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\nfigure; imagesc(reshape(XImgset,7,[]));\r\nxticks([]);yticks([]);axis equal;axis tight\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  %[~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('More training needed\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  fprintf('\\n\\n');\r\n\r\nassert(1)\r\n\r\n\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":3097,"edited_by":3097,"edited_at":"2023-09-03T16:21:37.000Z","deleted_by":null,"deleted_at":null,"solvers_count":3,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2023-09-03T03:05:26.000Z","updated_at":"2023-09-03T16:21:37.000Z","published_at":"2023-09-03T16:21:37.000Z","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\u003eThis challenge is to return final WH, WP, and K matrices, given initial XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidden layer and Softmax on the output layer. Training images are LED binary matrices of digits 1:9 and 0. Sets of variants will be tested to show success beyond the training set. (Scale, Offset, Noise, zeroed node(s), intra-shifts).\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\u003eBack Propagation on WH and WP. Custom K evolve algorithm provided. Standard Back Propagation for K in future. \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\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\u003eTest sets 2 thru 5 show various Pixelations of numbers and the Neural Net success rate. Just fun to look at the data.\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\u003eAppears more training sets required and possibly more nodes to have high success. One translate not good.\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[WP,WH,dK]=ConvNN_Process(XImgset,K,WH,WP,EPY)\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=\\\"524\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"875\\\"/\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\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 matlab Latex code for making the CNN Processing chart included in 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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":57740,"title":"Easy Sequences 99: One-line Code Challenge - Real Digitizer","description":"Given a real number r, write the function rDigitizer that breaks r into constituent digits and symbols. \r\nFor example:\r\n  \u003e\u003e    rDigitizer(1234.56)\r\n  \u003e\u003e    ans =\r\n            [1 2 3 4 '.' 5 6]\r\n  \u003e\u003e\r\n  \u003e\u003e    rDigitizer(-round(pi,4))\r\n  \u003e\u003e    ans =\r\n            ['-' 3 '.' 1 4 1 6]\r\n  \u003e\u003e\r\n  \u003e\u003e    rDigitizer(floor(exp(1)))\r\n  \u003e\u003e    ans =\r\n            2\r\n-------------\r\nNOTE: The following restrictions apply:\r\nThe function should only have one (1) line of code, excluding the function start line.\r\nSemicolons (;) are considered end-of-line characters.\r\nPlease suppress the function end line. Keyword 'end' is not allowed.\r\nImporting libraries is not allowed.\r\nRegular expressions, base conversion and string manipulation are not allowed.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.440001px; 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: 452px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 226px; transform-origin: 407px 226px; vertical-align: baseline; \"\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 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eGiven a real 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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; font-weight: 700; \"\u003er\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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e, write the function \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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; font-weight: 700; \"\u003erDigitizer\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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e that breaks \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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; font-weight: 700; \"\u003er\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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e into constituent digits and symbols.\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: 0px 0px; transform-origin: 0px 0px; \"\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 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eFor example:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 220px; 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 110px; transform-origin: 404px 110px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  \u0026gt;\u0026gt;    rDigitizer(1234.56)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  \u0026gt;\u0026gt;    ans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e            [1 2 3 4 \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); text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); \"\u003e'.' \u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e5 6]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  \u0026gt;\u0026gt;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  \u0026gt;\u0026gt;    rDigitizer(-round(pi,4))\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  \u0026gt;\u0026gt;    ans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\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); text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); \"\u003e'-' \u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e3 \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); text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); \"\u003e'.' \u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1 4 1 6]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  \u0026gt;\u0026gt;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  \u0026gt;\u0026gt;    rDigitizer(floor(exp(1)))\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  \u0026gt;\u0026gt;    ans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; 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: 0px 0px; transform-origin: 0px 0px; \"\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 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eNOTE: \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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eThe following restrictions apply:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 100px; 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 50px; transform-origin: 391px 50px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; block-size: 20px; 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 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eThe function should only have one (1) line of code, excluding the function start line.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; block-size: 20px; 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 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eSemicolons (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003e;\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e) are considered end-of-line characters.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; block-size: 20px; 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 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003ePlease suppress the function end line. Keyword '\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; font-weight: 700; \"\u003eend'\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e is not allowed.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; block-size: 20px; 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 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eImporting libraries is not allowed.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; block-size: 20px; 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 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eRegular expressions, base conversion and string manipulation are not allowed.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function d = rDigitizer(r)\r\n    d = num2str(r) - '0';\r\nend","test_suite":"%%\r\nr = -75.75;\r\nd_correct = ['-' 7 5 '.' 7 5];\r\nassert(isequal(rDigitizer(r),d_correct))\r\n%%\r\nr = 1111.1111;\r\nd_correct = [1 1 1 1 '.' 1 1 1 1];\r\nassert(isequal(rDigitizer(r),d_correct))\r\n%%\r\nr = round(sqrt(7)^7,7);\r\nd_correct = [9 0 7 '.' 4 9 2 6 9 9 7];\r\nassert(isequal(rDigitizer(r),d_correct))\r\n%%\r\nr = [1234.56 -round(pi,4) floor(exp(1))];\r\nd_correct = {[1 2 3 4 '.' 5 6] ['-' 3 '.' 1 4 1 6] 2};\r\nassert(isequal(rDigitizer(r),d_correct))\r\n%%\r\nr = arrayfun(@(i) round(pi,i),0:10);\r\nd_correct = {3 [3 '.' 1] [3 '.' 1 4] [3 '.' 1 4 2] [3 '.' 1 4 1 6] [3 '.' 1 4 1 5 9] ...\r\n            [3 '.' 1 4 1 5 9 3] [3 '.' 1 4 1 5 9 2 7] [3 '.' 1 4 1 5 9 2 6 5] ...\r\n            [3 '.' 1 4 1 5 9 2 6 5 4] [3 '.' 1 4 1 5 9 2 6 5 3 6]}           \r\nassert(isequal(rDigitizer(r),d_correct))\r\n%%\r\nr = round(-exp(2),10);\r\nd_correct = ['-' 7 '.' 3 8 9 0 5 6 0 9 8 9];\r\nassert(isequal(rDigitizer(r),d_correct))\r\n%%\r\nr = round(rand(1,1000,'double').*1000.*(-1).^randi(2,1,1000),6);\r\nd = rDigitizer(r); \r\ni = randi(1000); \r\ndi = d{i}; di(di=='.' | di=='-') = di(di=='.' | di=='-') - '0';\r\ndi_correct = num2str(r(i),10) - '0';\r\nassert(isequal(di,di_correct))\r\n%%\r\nfiletext = fileread('rDigitizer.m');\r\nnot_allowed = contains(filetext, 'import') || contains(filetext, 'str2') || contains(filetext, 'num2') || contains(filetext, 'dec2') || contains(filetext, 'base2') || contains(filetext, 'sprintf') || contains(filetext, 'regex') || contains(filetext, 'eval') || contains(filetext, 'assignin') || contains(filetext, 'end');\r\nassert(~not_allowed)\r\nc = 0;\r\nfor s = deblank(strtrim(splitlines(filetext)))'\r\n    if ~isempty(s{1}) \u0026\u0026 ~isequal(s{1}(1),'%')\r\n        c = c + numel(find(s{1}==';'));\r\n        if  ~isequal(s{1}(end),';')\r\n            c = c + 1;\r\n        end\r\n    end\r\nend\r\nassert(c\u003c=2)","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":255988,"edited_by":255988,"edited_at":"2023-03-05T16:54:24.000Z","deleted_by":null,"deleted_at":null,"solvers_count":1,"test_suite_updated_at":"2023-03-02T12:17:20.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2023-02-28T04:08:13.000Z","updated_at":"2025-09-09T11:32:29.000Z","published_at":"2023-03-01T05:35:08.000Z","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:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eGiven a real number \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003er\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e, write the function \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003erDigitizer\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e that breaks \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003er\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e into constituent digits and symbols.\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\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[  \u003e\u003e    rDigitizer(1234.56)\\n  \u003e\u003e    ans =\\n            [1 2 3 4 '.' 5 6]\\n  \u003e\u003e\\n  \u003e\u003e    rDigitizer(-round(pi,4))\\n  \u003e\u003e    ans =\\n            ['-' 3 '.' 1 4 1 6]\\n  \u003e\u003e\\n  \u003e\u003e    rDigitizer(floor(exp(1)))\\n  \u003e\u003e    ans =\\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\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:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNOTE: \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003eThe following restrictions apply:\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 function should only have one (1) line of code, excluding the function start line.\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\u003eSemicolons (\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\u003e;\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) are considered end-of-line characters.\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\u003ePlease suppress the function end line. Keyword '\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eend'\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is not allowed.\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\u003eImporting libraries is not allowed.\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\u003eRegular expressions, base conversion and string manipulation are not allowed.\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\"}]}"}],"problem_search":{"errors":[],"problems":[{"id":60191,"title":"Reverse Integer","description":"You are given an integer, reverse its digits. For negative integers, the sign should remain in the front.\r\nFor instance, 12340 should become 4321; -1203 becomes -3021.","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: 52.8267px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 386.491px 26.4062px; transform-origin: 386.499px 26.4134px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21.0085px; 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: 363.494px 10.4972px; text-align: left; transform-origin: 363.501px 10.5043px; white-space-collapse: preserve; 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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYou are given an integer, reverse its digits. For negative integers, the sign should remain in the front.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 22.8267px; 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: 363.494px 11.4062px; text-align: left; transform-origin: 363.501px 11.4134px; white-space-collapse: preserve; 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; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor instance, \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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003e12340\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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e should become \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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003e4321; -1203\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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e becomes \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: 0px 0px; transform-origin: 0px 0px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003e-3021\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: 0px 0px; transform-origin: 0px 0px; 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 = reverse_digits(x)\r\n\r\nend","test_suite":"%%\r\nassert(reverse_digits(1234) == 4321)\r\n\r\n%%\r\nassert(reverse_digits(-123) == -321)\r\n\r\n%%  \r\nassert(reverse_digits(9087654321) == 1234567809)\r\n\r\n%%  \r\nassert(reverse_digits(-9087654321) == -1234567809)\r\n\r\n%%\r\nassert(reverse_digits(0) == 0)\r\n\r\n%%\r\nassert(reverse_digits(5) == 5)\r\n\r\n%% \r\nassert(reverse_digits(-9) == -9)\r\n\r\n%% \r\nassert(reverse_digits(100) == 1)\r\n\r\n%% \r\nassert(reverse_digits(-100) == -1)\r\n\r\n%% \r\nassert(reverse_digits(1111) == 1111)\r\n\r\n%% \r\nc = randi([2, 9]);\r\nL = ones(1, randi([1, 9]))*c;\r\nnum = -str2num(strrep(strcat(num2str(L)), ' ', ''))\r\nassert( reverse_digits(num) == num )\r\n\r\n%% \r\nc = randi([2, 9])*ones(1, randi([2, 5]));\r\nL = zeros(1, randi([2, 5]));\r\nnum = -str2num(strrep(strcat(num2str(c), num2str(L)), ' ', ''))\r\ncorrect = -str2num(strrep(strcat(num2str(c)), ' ', ''))\r\nassert( reverse_digits(num) == correct )\r\n\r\n\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":208445,"edited_by":208445,"edited_at":"2024-05-04T08:03:10.000Z","deleted_by":null,"deleted_at":null,"solvers_count":15,"test_suite_updated_at":"2024-05-04T08:03:10.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2024-05-04T07:42:10.000Z","updated_at":"2026-04-13T13:46:42.000Z","published_at":"2024-05-04T08:03:10.000Z","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\u003eYou are given an integer, reverse its digits. For negative integers, the sign should remain in the front.\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 instance, \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\u003e12340\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e should become \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\u003e4321; -1203\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e becomes \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\u003e-3021\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\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":1510,"title":"Number of digits in an integer","description":"Specifies how many digits in a given integer. Example: in=100 ==\u003e out=3","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: 21px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 10.5px; transform-origin: 407px 10.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"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: 226.5px 8px; transform-origin: 226.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eSpecifies how many digits in a given integer. Example: in=100 ==\u0026gt; out=3\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function out = HowManyDigits(in)\r\n  out = in;\r\nend","test_suite":"%%\r\nx = -1;\r\ny_correct = 1;\r\nassert(isequal(HowManyDigits(x),y_correct))\r\n%%\r\nx = 1;\r\ny_correct = 1;\r\nassert(isequal(HowManyDigits(x),y_correct))\r\n%%\r\nx = -10;\r\ny_correct = 2;\r\nassert(isequal(HowManyDigits(x),y_correct))\r\n%%\r\nx = 10;\r\ny_correct = 2;\r\nassert(isequal(HowManyDigits(x),y_correct))\r\n%%\r\nx = 100;\r\ny_correct = 3;\r\nassert(isequal(HowManyDigits(x),y_correct))\r\n%%\r\nx=1000;\r\ny_correct = 4;\r\nassert(isequal(HowManyDigits(x),y_correct))\r\n%%\r\nx=5435742363271149;\r\ny_correct = 16;\r\nassert(isequal(HowManyDigits(x),y_correct))\r\n","published":true,"deleted":false,"likes_count":2,"comments_count":2,"created_by":13478,"edited_by":223089,"edited_at":"2022-07-08T06:58:06.000Z","deleted_by":null,"deleted_at":null,"solvers_count":170,"test_suite_updated_at":"2022-07-08T06:58:06.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2013-05-14T15:59:45.000Z","updated_at":"2026-02-12T18:20:08.000Z","published_at":"2013-05-14T15:59:45.000Z","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\u003eSpecifies how many digits in a given integer. Example: in=100 ==\u0026gt; out=3\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":58877,"title":"Neural Net Image Convolution: Return only Valid portion of conv2","description":"This challenge is to return only the Valid portion of a 2-D convolution. Valid is deemed to be where all elements of the kernel are applied against the image. The (1,1) point with a ones(3) kernel would be invalid while point (2,2) would return a Valid convolution value. The images will be even-square,m, and the kernels will be odd-square,K.The m=ones(6) and K=ones(3) would return a 4x4 matrix of 9s.\r\nmValidConv2=create_ValidConv2(m,K)\r\nIn neural net processing of the Mnist database of digits(0-9) one Convolutional Neural Network method uses 9x9 kernels on the 28x28 images to return the Valid 20x20 central core for the next processing step. The third image includes a black border of four around Valid to maintain scale.\r\n  \r\nThe entire Matlab code from Convolutional Neural Networks in Matlab by Nuruzzaman Faruqui , a Matlab Neural Net Tutorial for Mnist processing, is included in the function template. Loading the Mnist Train/Test Images/Labels from posted MAT files or THE MNIST DATABASE of handwritten digits are provided. The Neural Net tutorial explains Neural Net processing for Digit Recognition. The neural net training method uses 784 input nodes,  20 convolutions(9x9), ReLU, Pooling, batch sampling, single hidden layer of 100 nodes, updating parameters via backwards propagation, and updating convolution kernels. The digit prediction accuracy is \u003e94% after 50s of training. The final feature kernels are very amorphous and unexpected.","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: 545.5px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 272.75px; transform-origin: 407px 272.75px; vertical-align: baseline; \"\u003e\u003cdiv 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; \"\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: 369.5px 8px; transform-origin: 369.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThis challenge is to return only the Valid portion of a 2-D convolution. Valid is deemed to be where all elements of the kernel are applied against the image. The (1,1) point with a ones(3) kernel would be invalid while point (2,2) would return a Valid convolution value. The images will be even-square,m, and the kernels will be odd-square,K.The m=ones(6) and K=ones(3) would return a 4x4 matrix of 9s.\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: 121.5px 8px; transform-origin: 121.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003emValidConv2=create_ValidConv2(m,K)\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: 379px 8px; transform-origin: 379px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIn neural net processing of the Mnist database of digits(0-9) one Convolutional Neural Network method uses 9x9 kernels on the 28x28 images to return the Valid 20x20 central core for the next processing step. The third image includes a black border of four around Valid to maintain scale.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 194.5px; 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 97.25px; text-align: left; transform-origin: 384px 97.25px; 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: 252px;height: 189px\" 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\" data-image-state=\"image-loaded\" width=\"252\" height=\"189\"\u003e\u003c/div\u003e\u003cdiv 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; \"\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=\"\"\u003eThe entire Matlab code from \u003c/span\u003e\u003c/span\u003e\u003ca target='_blank' href = \"https://www.youtube.com/watch?v=ZOXOwYUVCqw\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eConvolutional Neural Networks in Matlab by Nuruzzaman Faruqui\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: 70px 8px; transform-origin: 70px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e , a Matlab Neural Net Tutorial for Mnist processing, is included in the function template. Loading the Mnist Train/Test Images/Labels from posted MAT files or \u003c/span\u003e\u003c/span\u003e\u003ca target='_blank' href = \"/#null\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eTHE MNIST DATABASE of handwritten digits\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: 181.5px 8px; transform-origin: 181.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e are provided. The Neural Net tutorial explains Neural Net processing for Digit Recognition. The neural net training method uses 784 input nodes,  20 convolutions(9x9), ReLU, Pooling, batch sampling, single hidden layer of 100 nodes, updating parameters via backwards propagation, and updating convolution kernels. The digit prediction accuracy is \u0026gt;94% after 50s of training. The final feature kernels are very amorphous and unexpected.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function mValidConv2=create_ValidConv2(m,K)\r\n  mValidConv2=conv2(m,K,'same');\r\nend\r\n\r\n% Code from Convolutional Neural Network in Matlab by Nuruzzaman Faruqui\r\n% Youtube:  https://www.youtube.com/watch?v=ZOXOwYUVCqw\r\n% I have made comments noted by raz and a couple speed enhancements\r\n% I also provide alternate direct source for MNIST files as .mat files\r\n%{\r\nfunction MNIST_Process\r\n%Based upon https://www.youtube.com/watch?v=ZOXOwYUVCqw\r\n%784 input nodes;20 conv 9x9 filters,ReLU;2x2 submatrix Pooling layer,single hidden layer 100 nodes\r\n\r\n%Matlab Convolutional Neural Network in Matlab\r\n%Processing MNIST digits using conv, contents, \r\n%MNIST files  http://yann.lecun.com/exdb/mnist/\r\n%Create filters\r\n%File Exchange NN https://www.mathworks.com/matlabcentral/fileexchange/59223-convolution-neural-network-simple-code-simple-to-use?s_tid=ta_fx_results\r\n%\r\n%use Test_images.mat if avail, use MNIST ubyte files if avail, load Test_images.mat\r\ndir_struct=dir;\r\nfilenames={dir_struct.name};\r\nfn='Test_images.mat';\r\nptr=find(ismember(filenames,fn));\r\nif ~isempty(ptr) % Test images/labels mat files exist\r\n tic;\r\n load('Test_images'); % images [28,28,10000] uint8\r\n load('Test_labels'); % labels [10000,1] uint8 values 0:9\r\n fprintf('Images:%i  Time:%.2f\\n',size(images,3),toc);\r\n Images=double(images)/255; %raz values must be 0:1 or bad things happen\r\n Labels=double(labels);\r\n Labels(Labels==0)=10; % 0 remapped to 10\r\n\r\nelse % Check for Mnist file\r\n %MNIST files source  http://yann.lecun.com/exdb/mnist/\r\n fn='t10k-images.idx3-ubyte'; %NMIST gzip expanded file for Test Images 10K\r\n filenames={dir_struct.name};\r\n ptr=find(ismember(filenames,fn));\r\n if ~isempty(ptr)\r\n  tic\r\n  Images=loadMNISTImages(fn);\r\n  fprintf('MNIST Images Process Time: %.2f\\n',toc); %raz\r\n  Images=reshape(Images,28,28,[]); % Un-vectorize the images\r\n  %Images already scaled by 1/255 in loadMNISTImages\r\n \r\n  Labels=loadMNISTLabels('t10k-labels.idx1-ubyte');\r\n  Labels(Labels==0)=10; % 0 to 10\r\nelse % download Test_images.mat, Test_labels.mat and load\r\n fnameTestI='Test_images.mat'; %load('Test_images.mat') creates images(28,28,10000) 1.6MB\r\n fnameTrainI='Train_images.mat'; %load('Train_images.mat') creates images(28,28,60000)  9.9MB\r\n fnameTestL='Test_labels.mat'; %load('Test_images.mat') creates labels(10000,1) 5KB\r\n fnameTrainL='Train_labels.mat'; %load('Train_images.mat') creates labels(60000,1) 30KB\r\n \r\n %Google Drive Dowloads need to come from shared files\r\n% Tweak link: file/d/ to uc?export=download\u0026id=   while removing /view?usp=sharing\r\n% https://drive.google.com/file/d/1v3GsGgP3p905wzdvUqypL_-djYmxiyzK/view?usp=sharing\r\n% https://drive.google.com/uc?export=download\u0026id=1v3GsGgP3p905wzdvUqypL_-djYmxiyzK\r\n \r\n\r\n  urlTeI='https://drive.google.com/uc?export=download\u0026id=10ReGWlfSvr9p6uq6FQlqw6vw3UXgWo57';\r\n  urlTeL='https://drive.google.com/uc?export=download\u0026id=105zTcVgItZ2JjFiUkJulU33R7lXNl29-';\r\n  urlTrI='https://drive.google.com/uc?export=download\u0026id=1HJZssH6_9OcQ8mXwS_DtvsS_Kk86BDFY';\r\n  urlTrL='https://drive.google.com/uc?export=download\u0026id=1KNTn2eNXbQkQJNe6xhO1LMmvkDRP-XLq';\r\n \r\n  tic\r\n  urlwrite(urlTeI,fnameTestI); %Writing GoogleDrive MNIST_Test_images.pdf  Test_images.mat \r\n  fprintf('Download 1.6MB Time: %.1f  sec\\n\\n',toc); %1.6MB download Time, about 1.1 sec\r\n \r\n  tic\r\n  urlwrite(urlTeL,fnameTestL); %Writing GoogleDrive MNIST_Test_labels.pdf  Test_labels.mat\r\n  fprintf('Download 5KB Time: %.1f  sec\\n\\n',toc); %5KB download Time, about 0.5 sec\r\n \r\n  tic\r\n  urlwrite(urlTrI,fnameTrainI); %Writing GoogleDrive MNIST_Train_images.pdf  Train_images.mat\r\n  fprintf('Download 9.9MB Time: %.1f  sec\\n\\n',toc); %9.9MB download Time, about 4.1 sec\r\n \r\n  tic\r\n  urlwrite(urlTrL,fnameTrainL); %Writing GoogleDrive MNIST_Train_labels.pdf  Train_labels.mat\r\n  fprintf('Download 30KB Time: %.1f  sec\\n\\n',toc); %30KB download Time, about 0.6 sec\r\n\r\n  tic\r\n  load('Test_images'); % images [28,28,10000] uint8\r\n  load('Test_labels'); % labels [10000,1] uint8 values 0:9\r\n  fprintf('Images:%i  Time:%.2f\\n',size(images,3),toc); %.05s\r\n  Images=double(images)/255; %raz values must be 0:1 or bad things happen\r\n  Labels=double(labels);\r\n  Labels(Labels==0)=10; % 0 to 10\r\n end % if MNIST ubyte files\r\n\r\nend % if Test_images.mat\r\n\r\n\r\nrng(1); %raz not liked by curretn matlab\r\n\r\nW1=.01*randn([9 9 20]); %Conv Kernels   base .01\r\nW5=(2*rand(100,2000)-1)*sqrt(6)/sqrt(360+2000); %Hidden layer coeff of 100 pooled\r\nWo=(2*rand(10, 100)-1)*sqrt(6)/sqrt( 10+ 100); %Output coeff to find 0:9 best match\r\n\r\nX=Images(:,:,1:8000);\r\nD=Labels(1:8000);\r\nztic=tic;\r\nfor epoch=1:3  %Repeat cycles of all Training data\r\n fprintf('epoch:%i  Time:%.2f\\n',epoch,toc(ztic));\r\n [W1, W5, Wo]=MnistConv(W1,W5,Wo,X,D);\r\nend %epoch\r\n\r\n%save('MnistConv.mat'); % Used for Post analysis, see video\r\n\r\nX=Images(:,:,8001:10000);\r\nD=Labels(8001:10000);\r\nacc=0;\r\nN=length(D);\r\n\r\nfor k=1:N\r\n x=X(:,:,k);\r\n y1=Conv(x,W1); %Neural Net Processing  W1 kernels on image-x\r\n y2=ReLU(y1);   %Rectification process\r\n y3=Pool(y2);   %Take 20x20 conv images into 100 values\r\n y4=reshape(y3,[],1);\r\n v5=W5*y4;      %Hidden layer weights\r\n y5=ReLU(v5);   %Rectification process\r\n v=Wo*y5;       %Wo Output weight processing\r\n y=Softmax(v);  %create vector length 10 of expected probability, uses exp(x) smoothing\r\n                %Needed in training but not sure why in evaluation\r\n \r\n [~,i]=max(y);\r\n if i==D(k)\r\n  acc=acc+1;\r\n end\r\nend %k\r\n\r\n acc=acc/N;\r\n fprintf('Accuracy is %.2f%%  Time:%.2f\\n',100*acc,toc(ztic));  %raz output/time\r\n\r\nend% MNIST_Process\r\n\r\nfunction [W1, W5,Wo]=MnistConv(W1, W5,Wo,X,D)\r\n alpha=.01;\r\n beta=0.95;\r\n z=reshape(1:100,10,10); % raz\r\n kmap=kron(z,ones(2)); % raz\r\n \r\n momentum1=zeros(size(W1));\r\n momentum5=zeros(size(W5));\r\n momentumo=zeros(size(Wo));\r\n \r\n N=length(D);\r\n \r\n bsize=100;\r\n blist=1:bsize:(N-bsize+1);\r\n \r\n for batch=1:length(blist) % Batch/Updates, each Batch creates updates to Params\r\n  dW1=zeros(size(W1));\r\n  dW5=zeros(size(W5));\r\n  dWo=zeros(size(Wo));\r\n  \r\n  begin=blist(batch);\r\n  for k=begin:begin+bsize-1  %Subset Group of Training samples for param adjust\r\n   x=X(:,:,k);\r\n   y1=Conv(x,W1); %8K/5.8s  3.5s\r\n   y2=ReLU(y1);\r\n   y3=Pool(y2);\r\n   y4=reshape(y3,[],1);\r\n   v5=W5*y4;\r\n   y5=ReLU(v5);\r\n   v=Wo*y5;\r\n   y=Softmax(v); %10 Probability Bins for [1-9 0] \r\n   \r\n   d=zeros(10,1);\r\n   d(sub2ind(size(d),D(k),1))=1;\r\n   \r\n    e=d-y; % raz should this be (e-y)^2*sign(e-y)?\r\n    delta=e;\r\n    e5=Wo'*delta;\r\n    delta5=(y5\u003e0).*e5;\r\n    e4=W5'*delta5;\r\n    e3=reshape(e4,size(y3));\r\n    e2=zeros(size(y2));\r\n    W3=ones(size(y2))/(2*2);\r\n    \r\n    for c=1:20\r\n     %e2(:,:,c)=kron(e3(:,:,c),ones([2 2])).*W3(:,:,c); %160K/4.5s\r\n     e3c=e3(:,:,c); %160K/.27 raz\r\n     e2(:,:,c)=e3c(kmap).*W3(:,:,c);  %160K/.8s  raz\r\n    end %c\r\n    \r\n    delta2=(y2\u003e0).*e2;\r\n    delta1_x=zeros(size(W1)); \r\n    \r\n    for c=1:20\r\n     delta1_x(:,:,c)=conv2(x(:,:),rot90(delta2(:,:,c),2),'valid'); %160K/5.3s\r\n    end %c\r\n    \r\n    dW1=dW1+delta1_x; %error per kernel plane\r\n    dW5=dW5+delta5*y4'; %8K/4.2s  100x2000\r\n    dWo=dWo+delta*y5';\r\n  end %k\r\n  dW1=dW1/bsize;\r\n  dW5=dW5/bsize;\r\n  dWo=dWo/bsize;\r\n  \r\n  momentum1=alpha*dW1+beta*momentum1;\r\n  W1       = W1+momentum1;\r\n  \r\n  momentum5=alpha*dW5+beta*momentum5;\r\n  W5       = W5+momentum5;\r\n  \r\n  momentumo=alpha*dWo+beta*momentumo;\r\n  Wo       = Wo+momentumo;\r\n  \r\n end % batch\r\n \r\nend %MnistConv\r\n\r\nfunction rng(x)\r\n randn('seed',x);\r\n rand('seed',x);\r\nend % rng\r\n\r\nfunction y=Pool(x)\r\n [xrow,xcol,numFilters]=size(x);\r\n y=zeros(xrow/2,xcol/2,numFilters);\r\n for k=1:numFilters\r\n  filter=ones(2)/(2*2);\r\n  image=conv2(x(:,:,k),filter,'valid');\r\n  y(:,:,k)=image(1:2:end,1:2:end);\r\n end\r\n\r\nend %Pool\r\n\r\nfunction y=Conv(x,W)\r\n [wrow,wcol,numFilters]=size(W);\r\n [xrow,xcol,~         ]=size(x);\r\n \r\n yrow=xrow-wrow+1;\r\n ycol=xcol-wcol+1;\r\n \r\n y=zeros(yrow,ycol,numFilters);\r\n \r\n for k=1:numFilters\r\n  filter=W(:,:,k);\r\n  filter=rot90(squeeze(filter),2); %200K/2.5s  raz remove test/92.15%\r\n  y(:,:,k)=conv2(x,filter,'valid'); %200K/3.7s  3.5s\r\n end\r\nend %Conv\r\n\r\nfunction y=Softmax(x)\r\n ex=exp(x);\r\n y=ex/sum(ex);\r\nend %Softmax\r\n\r\nfunction y=ReLU(x)\r\n y=max(0,x);\r\nend %ReLU\r\n\r\n\r\n\r\nfunction images=loadMNISTImages(filename)\r\n%\r\nfp=fopen(filename,'rb');\r\nassert(fp~=-1,['Could not open', filename,'']);\r\nmagic=fread(fp,1,'int32',0,'ieee-be');\r\nassert(magic==2051,['Bad magic number in', filename, '']); %2051 Images\r\nnumImages=fread(fp,1,'int32',0,'ieee-be');\r\nnumRows=fread(fp,1,'int32',0,'ieee-be');\r\nnumCols=fread(fp,1,'int32',0,'ieee-be');\r\nimages=fread(fp,inf,'unsigned char=\u003eunsigned char');\r\nfclose(fp);\r\nfprintf('Images:%i  rows:%i  cols:%i\\n',numImages,numRows,numCols); %raz\r\n\r\nimages=reshape(images,numCols,numRows,numImages);\r\nimages=permute(images,[2 1 3]); \r\n\r\nimages=reshape(images,size(images,1)*size(images,2),size(images,3)); %raz Will be reverted\r\nimages=double(images)/255;\r\n \r\nend %loadMNISTImages\r\n\r\nfunction labels=loadMNISTLabels(filename)\r\n%\r\nfp=fopen(filename,'rb');\r\nassert(fp~=-1,['Could not open', filename,'']);\r\nmagic=fread(fp,1,'int32',0,'ieee-be');\r\nassert(magic==2049,['Bad magic number in ', filename,'']);\r\nnumLabels=fread(fp,1,'int32',0,'ieee-be');\r\nlabels=fread(fp,inf,'unsigned char');\r\nassert(size(labels,1)==numLabels,'Mismatch in label count');\r\nfclose(fp);\r\nfprintf('Labels:%i\\n',numLabels); %raz\r\n\r\n\r\nend %loadMNISTLabels\r\n%}","test_suite":"%%\r\n%Google Drive Dowloads need to come from shared files\r\n% Tweak link: file/d/ to uc?export=download\u0026id=   while removing /view?usp=sharing\r\n% https://drive.google.com/file/d/1v3GsGgP3p905wzdvUqypL_-djYmxiyzK/view?usp=sharing\r\n% https://drive.google.com/uc?export=download\u0026id=1v3GsGgP3p905wzdvUqypL_-djYmxiyzK\r\n fnameTestI='Test_images.mat'; %load('Test_images.mat') creates images(28,28,10000) 1.6MB\r\n fnameTrainI='Train_images.mat'; %load('Train_images.mat') creates images(28,28,60000)  9.9MB\r\n fnameTestL='Test_labels.mat'; %load('Test_images.mat') creates labels(10000,1) 5KB\r\n fnameTrainL='Train_labels.mat'; %load('Train_images.mat') creates labels(60000,1) 30KB\r\n \r\n urlTeI='https://drive.google.com/uc?export=download\u0026id=10ReGWlfSvr9p6uq6FQlqw6vw3UXgWo57';\r\n urlTeL='https://drive.google.com/uc?export=download\u0026id=105zTcVgItZ2JjFiUkJulU33R7lXNl29-';\r\n urlTrI='https://drive.google.com/uc?export=download\u0026id=1HJZssH6_9OcQ8mXwS_DtvsS_Kk86BDFY';\r\n urlTrL='https://drive.google.com/uc?export=download\u0026id=1KNTn2eNXbQkQJNe6xhO1LMmvkDRP-XLq';\r\n \r\n % fn.mat  https://drive.google.com/file/d/10GsOZTIjzMIuO7xAYIqLT1zIq9Cyubl-/view?usp=drive_link\r\n % Google Gives warning thus aborts urlwrite\r\n %\r\n %fname='Mnist_Test_images.pdf'\r\n %Fake name of .pdf on GoogleDrive,  write as a mat\r\n \r\n %url='https://drive.google.com/file/d/1mgxzsmVQNXgqHEdd61QR2r0STm3N9lgG/view?usp=drive_link';\r\n %ptr=strfind(url,'/view'); % Tweaking the url\r\n %url(ptr:end)=[];\r\n %url=strrep(url,'file/d/','uc?export=download\u0026id=');\r\n \r\n tic\r\n urlwrite(urlTeI,fnameTestI); %Writing GoogleDrive MNIST_Test_images.pdf  Test_images.mat\r\n fprintf('Download 1.6MB Time: %.1f  sec\\n',toc); %1.6MB download Time, about 1.5 sec\r\n \r\n tic\r\n urlwrite(urlTeL,fnameTestL); %Writing GoogleDrive MNIST_Test_labels.pdf  Test_labels.mat\r\n fprintf('Download 5KB Time: %.1f  sec\\n',toc); %5KB download Time, about .5 sec\r\n \r\n global labels images \r\n \r\n load('Test_images'); % images [28,28,10000] uint8\r\n load('Test_labels'); % labels [10000,1] uint8 values 0:9\r\n \r\n %Showing a Label and an image from Mnist\r\n ptr=randi(10000);\r\n fprintf('Label:%i\\n',labels(ptr));\r\n figure(1);imagesc(images(:,:,ptr)); colormap gray;\r\n \r\n \r\nvalid=1;\r\nassert(valid)\r\n%%\r\n%Showing a Label and an image from Mnist\r\n global labels images\r\n valid=1;\r\n ptr=randi(10000);\r\n fprintf('Label:%i\\n',labels(ptr));\r\n m=double(images(:,:,ptr))/255;\r\n figure(2);imagesc(m); colormap gray;\r\n \r\n K=repmat([0 0 .5 1 1 1 .5 0 0],9,1); % Vert Bar\r\n mValidConv2=create_ValidConv2(m,K);\r\n figure(3);imagesc(mValidConv2); colormap gray;\r\n mc=conv2(m,K,'same');\r\n if ~isequal(mc(5:end-4,5:end-4),mValidConv2)\r\n  valid=0;\r\n end\r\n \r\nassert(valid)\r\n\r\n%%\r\n%Showing a Label and an image from Mnist\r\n global labels images\r\n valid=1;\r\n ptr=randi(10000);\r\n fprintf('Label:%i\\n',labels(ptr));\r\n m=double(images(:,:,ptr))/255;\r\n figure(2);imagesc(m); colormap gray;\r\n \r\n K=repmat([0 0 .5 1 1 1 .5 0 0]',1,9); %Horiz Bar\r\n mValidConv2=create_ValidConv2(m,K);\r\n figure(3);imagesc(mValidConv2); colormap gray;\r\n mc=conv2(m,K,'same');\r\n if ~isequal(mc(5:end-4,5:end-4),mValidConv2)\r\n  valid=0;\r\n end\r\n \r\nassert(valid)\r\n\r\n%%\r\n%Showing a Label and an image from Mnist\r\n global labels images\r\n valid=1;\r\n m=rand(24);\r\n K=repmat([0 .5 1 1 1 .5 0]',1,7); %Horiz Bar\r\n mValidConv2=create_ValidConv2(m,K)\r\n mc=conv2(m,K,'same');\r\n if ~isequal(mc(4:end-3,4:end-3),mValidConv2)\r\n  valid=0;\r\n end\r\n \r\nassert(valid)\r\n\r\n%%\r\n%Showing a Label and an image from Mnist\r\n global labels images\r\n valid=1;\r\n m=rand(8);\r\n K=ones(3)/9;\r\n mValidConv2=create_ValidConv2(m,K)\r\n mc=conv2(m,K,'same');\r\n if ~isequal(mc(2:end-1,2:end-1),mValidConv2)\r\n  valid=0;\r\n end\r\n \r\nassert(valid)\r\n\r\n","published":true,"deleted":false,"likes_count":2,"comments_count":0,"created_by":3097,"edited_by":3097,"edited_at":"2023-08-17T19:33:19.000Z","deleted_by":null,"deleted_at":null,"solvers_count":13,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2023-08-17T14:03:38.000Z","updated_at":"2025-12-09T23:45:29.000Z","published_at":"2023-08-17T19:33:20.000Z","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\u003eThis challenge is to return only the Valid portion of a 2-D convolution. Valid is deemed to be where all elements of the kernel are applied against the image. The (1,1) point with a ones(3) kernel would be invalid while point (2,2) would return a Valid convolution value. The images will be even-square,m, and the kernels will be odd-square,K.The m=ones(6) and K=ones(3) would return a 4x4 matrix of 9s.\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\u003emValidConv2=create_ValidConv2(m,K)\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 neural net processing of the Mnist database of digits(0-9) one Convolutional Neural Network method uses 9x9 kernels on the 28x28 images to return the Valid 20x20 central core for the next processing step. The third image includes a black border of four around Valid to maintain scale.\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=\\\"189\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"252\\\"/\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\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"189\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"252\\\"/\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=\\\"rId2\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"189\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"252\\\"/\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=\\\"rId3\\\"/\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\u003eThe entire Matlab code from \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"https://www.youtube.com/watch?v=ZOXOwYUVCqw\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eConvolutional Neural Networks in Matlab by Nuruzzaman Faruqui\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e , a Matlab Neural Net Tutorial for Mnist processing, is included in the function template. Loading the Mnist Train/Test Images/Labels from posted MAT files or \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eTHE MNIST DATABASE of handwritten digits\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e are provided. The Neural Net tutorial explains Neural Net processing for Digit Recognition. The neural net training method uses 784 input nodes,  20 convolutions(9x9), ReLU, Pooling, batch sampling, single hidden layer of 100 nodes, updating parameters via backwards propagation, and updating convolution kernels. The digit prediction accuracy is \u0026gt;94% after 50s of training. The final feature kernels are very amorphous and 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all digits","description":"input = 123456789, output = 1+2+3+4+5+6+7+8+9 = 45","description_html":"\u003cp\u003einput = 123456789, output = 1+2+3+4+5+6+7+8+9 = 45\u003c/p\u003e","function_template":"function y = sum_all_digits(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 1;\r\ny_correct = 1;\r\nassert(isequal(sum_all_digits(x),y_correct))\r\n\r\n%%\r\nx = 112;\r\ny_correct = 4;\r\nassert(isequal(sum_all_digits(x),y_correct))\r\n \r\n%%\r\nx = 18547;\r\ny_correct = 25;\r\nassert(isequal(sum_all_digits(x),y_correct))\r\n \r\n%%\r\nx = 147852369;\r\ny_correct = 45;\r\nassert(isequal(sum_all_digits(x),y_correct))\r\n \r\n%%\r\nx = 753159;\r\ny_correct = 30;\r\nassert(isequal(sum_all_digits(x),y_correct))\r\n \r\n%%\r\nx = 1000245879653254;\r\ny_correct = 61;\r\nassert(isequal(sum_all_digits(x),y_correct))\r\n ","published":true,"deleted":false,"likes_count":2,"comments_count":1,"created_by":108804,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":113,"test_suite_updated_at":"2017-08-13T16:35:36.000Z","rescore_all_solutions":true,"group_id":1,"created_at":"2017-08-13T15:05:59.000Z","updated_at":"2026-02-18T11:04:46.000Z","published_at":"2017-08-13T15:05:59.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003einput = 123456789, output = 1+2+3+4+5+6+7+8+9 = 45\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":44856,"title":"Permutation Via Multiplication","description":"Given two numbers a and b, determine if the product ab is a permutation of the digits of a. For example, this is always true for a=0. Less trivially, 125874*2=251748.\r\nIf the product, ab, has more digits than a, append zeros to the front of a so they have the same number of digits. Thus, for example, 015*7=105 is another example.\r\nThis problem was inspired by seeing a student simplify 163/326 to 1/2 by cancelling out the digits in common.","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: 123px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 61.5px; transform-origin: 407px 61.5px; 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: 384px 8px; transform-origin: 384px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven two numbers a and b, determine if the product ab is a permutation of the digits of a. For example, this is always true for a=0. Less trivially, 125874*2=251748.\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=\"\"\u003eIf the product, ab, has more digits than a, append zeros to the front of a so they have the same number of digits. Thus, for example, 015*7=105 is another example.\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: 342.5px 8px; transform-origin: 342.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThis problem was inspired by seeing a student simplify 163/326 to 1/2 by cancelling out the digits in common.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function tf = product_is_perm(a,b)\r\ntf = false;\r\nend","test_suite":"%%\r\na = 0;\r\nb = 2;\r\ntf_correct = true;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 15;\r\nb = 7;\r\ntf_correct = true;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 1035;\r\nb = 3;\r\ntf_correct = true;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 125874;\r\nb = 2;\r\ntf_correct = true;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 10;\r\nb = 2;\r\ntf_correct = false;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 123;\r\nb = 10;\r\ntf_correct = true;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 67;\r\nb = 2;\r\ntf_correct = false;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 1025874;\r\nb = 2;\r\ntf_correct = true;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 459;\r\nb = 11;\r\ntf_correct = true;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 461;\r\nb = 11;\r\ntf_correct = false;\r\nassert(isequal(product_is_perm(a,b),tf_correct))\r\n\r\n%%\r\na = 2;\r\nb = 6;\r\ntf_correct = false;\r\nassert(isequal(product_is_perm(a,b),tf_correct))","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":280845,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":56,"test_suite_updated_at":"2021-06-17T09:04:15.000Z","rescore_all_solutions":true,"group_id":1,"created_at":"2019-02-21T18:59:27.000Z","updated_at":"2026-03-20T13:33:01.000Z","published_at":"2019-02-21T18:59:27.000Z","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 two numbers a and b, determine if the product ab is a permutation of the digits of a. For example, this is always true for a=0. Less trivially, 125874*2=251748.\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 the product, ab, has more digits than a, append zeros to the front of a so they have the same number of digits. Thus, for example, 015*7=105 is another 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:r\u003e\u003cw:t\u003eThis problem was inspired by seeing a student simplify 163/326 to 1/2 by cancelling out the digits in common.\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":52569,"title":"A sequence of Ones","description":"You are given number(s) with all digits - 1. \r\nYour answer will depend on the count of 1 in the given number, for example - \r\nx1=11;              x2=111;             x3=1111;\r\ny1=11;              y2=121;             y3=1221;\r\nBased on Problem #42319. Refer to the test suite for further information.","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: 132.867px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 66.4333px; transform-origin: 407px 66.4333px; vertical-align: baseline; \"\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: 134px 8px; transform-origin: 134px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYou are given number(s) with all digits - 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: 242.5px 8px; transform-origin: 242.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYour answer will depend on the count of 1 in the given number, for example - \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); 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: 192px 8.5px; tab-size: 4; transform-origin: 192px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ex1=11;              x2=111;             x3=1111;\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: 192px 8.5px; tab-size: 4; transform-origin: 192px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ey1=11;              y2=121;             y3=1221;\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: 32px 8px; transform-origin: 32px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eBased on \u003c/span\u003e\u003c/span\u003e\u003ca target='_blank' href = \"https://in.mathworks.com/matlabcentral/cody/groups/39/problems/42319\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eProblem #42319\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: 144.5px 8px; transform-origin: 144.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e. Refer to the test suite for further information.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = one(x)\r\ny = ones(x);\r\nend","test_suite":"%%\r\nx = [];\r\nassert(isempty(one(x)))\r\n\r\n%%\r\nx = 111;\r\ny = 121;\r\nassert(isequal(one(x),y))\r\n\r\n%%\r\nx = 1111;\r\ny = 1221;\r\nassert(isequal(one(x),y))\r\n\r\n%%\r\nx = [1 11];\r\nassert(isequal(one(x),x))\r\n\r\n%%\r\nx = 11111;\r\ny = 12321;\r\nassert(isequal(one(x),y))\r\n\r\n%%\r\nx = 1111111111;\r\ny = 1234554321;\r\nassert(isequal(one(x),y))\r\n\r\n%%\r\nx = [111111 1111111 1111111111111];\r\ny = [123321 1234321 1234567654321];\r\nassert(isequal(one(x),y))","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":223089,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":17,"test_suite_updated_at":"2022-02-05T18:05:35.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2021-08-19T11:24:01.000Z","updated_at":"2026-03-16T12:54:19.000Z","published_at":"2021-11-09T08:31:22.000Z","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\u003eYou are given number(s) with all digits - 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\u003eYour answer will depend on the count of 1 in the given number, for 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[x1=11;              x2=111;             x3=1111;\\ny1=11;              y2=121;             y3=1221;]]\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\u003eBased on \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"https://in.mathworks.com/matlabcentral/cody/groups/39/problems/42319\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eProblem #42319\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e. Refer to the test suite for further information.\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":2193,"title":"Mysterious digits operation (easy)","description":"What is this digit operation?\r\n\r\n 0    -\u003e 0\r\n 1    -\u003e 9\r\n 121  -\u003e 9\r\n 44   -\u003e 6\r\n 15   -\u003e 5\r\n 1243 -\u003e 7\r\n ...","description_html":"\u003cp\u003eWhat is this digit operation?\u003c/p\u003e\u003cpre\u003e 0    -\u0026gt; 0\r\n 1    -\u0026gt; 9\r\n 121  -\u0026gt; 9\r\n 44   -\u0026gt; 6\r\n 15   -\u0026gt; 5\r\n 1243 -\u0026gt; 7\r\n ...\u003c/pre\u003e","function_template":"function y = what_digits(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 0;\r\ny_correct = 0;\r\nassert(isequal(what_digits(x),y_correct))\r\n%%\r\nx = 1;\r\ny_correct = 9;\r\nassert(isequal(what_digits(x),y_correct))\r\n%%\r\nx = 44;\r\ny_correct = 6;\r\nassert(isequal(what_digits(x),y_correct))\r\n%%\r\nx = 15;\r\ny_correct = 5;\r\nassert(isequal(what_digits(x),y_correct))\r\n%%\r\nx = 1243;\r\ny_correct = 7;\r\nassert(isequal(what_digits(x),y_correct))\r\n%%\r\nx = 10;\r\ny_correct = 0;\r\nassert(isequal(what_digits(x),y_correct))\r\n%%\r\nx = 1000;\r\ny_correct = 0;\r\nassert(isequal(what_digits(x),y_correct))\r\n%%\r\nx = 1e5;\r\ny_correct = 0;\r\nassert(isequal(what_digits(x),y_correct))\r\n%%\r\nx = 1e5+1;\r\ny_correct = 9;\r\nassert(isequal(what_digits(x),y_correct))\r\n%%\r\nx = 1e5-1;\r\ny_correct = 1;\r\nassert(isequal(what_digits(x),y_correct))","published":true,"deleted":false,"likes_count":4,"comments_count":0,"created_by":5390,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":321,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":45,"created_at":"2014-02-18T11:03:52.000Z","updated_at":"2026-04-08T08:54:46.000Z","published_at":"2014-02-18T11:13:41.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWhat is this digit operation?\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[ 0    -\u003e 0\\n 1    -\u003e 9\\n 121  -\u003e 9\\n 44   -\u003e 6\\n 15   -\u003e 5\\n 1243 -\u003e 7\\n ...]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":44682,"title":"Numbers on 7-segment ","description":"This is a 7-segment:\r\n\r\n    _\r\n   |_|\r\n   |_|\r\n\r\nIt's a 3-by-3 char matrix.It has made by 3 characters: '_' , '|' and ' ' (space). \r\nUsing these 3 characters make the input number on the 7-segment. (Input is 0-9).\r\n\r\n\r\nExample:\r\n\r\n  N=0\r\n  ans=\r\n    _\r\n   | |\r\n   |_| \r\n   \r\n  N= 9\r\n  ans=\r\n    _\r\n   |_|\r\n    _| \r\n   ","description_html":"\u003cp\u003eThis is a 7-segment:\u003c/p\u003e\u003cpre\u003e    _\r\n   |_|\r\n   |_|\u003c/pre\u003e\u003cp\u003eIt's a 3-by-3 char matrix.It has made by 3 characters: '_' , '|' and ' ' (space). \r\nUsing these 3 characters make the input number on the 7-segment. (Input is 0-9).\u003c/p\u003e\u003cp\u003eExample:\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003eN=0\r\nans=\r\n  _\r\n | |\r\n |_| \r\n\u003c/pre\u003e\u003cpre class=\"language-matlab\"\u003eN= 9\r\nans=\r\n  _\r\n |_|\r\n  _| \r\n\u003c/pre\u003e","function_template":"function y = seven_segment(N)\r\n  y = ...\r\nend","test_suite":"%%\r\nN = 0;\r\ny_correct =...\r\n[' _ '\r\n '| |'\r\n '|_|']\r\nassert(isequal(seven_segment(N),y_correct))\r\n%%\r\nN = 1;\r\ny_correct =...\r\n['   '\r\n '  |'\r\n '  |']\r\nassert(isequal(seven_segment(N),y_correct))\r\n%%\r\nN = 2;\r\ny_correct =...\r\n[' _ '\r\n ' _|'\r\n '|_ ']\r\nassert(isequal(seven_segment(N),y_correct))\r\n%%\r\nN = 3;\r\ny_correct =...\r\n[' _ '\r\n ' _|'\r\n ' _|']\r\nassert(isequal(seven_segment(N),y_correct))\r\n%%\r\nN = 4;\r\ny_correct =...\r\n['   '\r\n '|_|'\r\n '  |']\r\nassert(isequal(seven_segment(N),y_correct))\r\n%%\r\nN = 9;\r\ny_correct =...\r\n[' _ '\r\n '|_|'\r\n ' _|']\r\nassert(isequal(seven_segment(N),y_correct))\r\n%%\r\nN = 8;\r\ny_correct =...\r\n[' _ '\r\n '|_|'\r\n '|_|']\r\nassert(isequal(seven_segment(N),y_correct))\r\n%%\r\nN = 6;\r\ny_correct =...\r\n[' _ '\r\n '|_ '\r\n '|_|']\r\nassert(isequal(seven_segment(N),y_correct))\r\n%%\r\nN = 5;\r\ny_correct =...\r\n[' _ '\r\n '|_ '\r\n ' _|']\r\nassert(isequal(seven_segment(N),y_correct))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":218677,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":87,"test_suite_updated_at":"2018-06-08T17:09:34.000Z","rescore_all_solutions":true,"group_id":1,"created_at":"2018-06-08T10:01:09.000Z","updated_at":"2026-03-20T13:40:55.000Z","published_at":"2018-06-08T10:01:09.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThis is a 7-segment:\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[    _\\n   |_|\\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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIt's a 3-by-3 char matrix.It has made by 3 characters: '_' , '|' and ' ' (space). Using these 3 characters make the input number on the 7-segment. (Input is 0-9).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eExample:\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[N=0\\nans=\\n  _\\n | |\\n |_| \\n\\nN= 9\\nans=\\n  _\\n |_|\\n  _|]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":43019,"title":"Iterative sum of digits of 2^n number","description":"Given n, calculate the number 2^n (where n\u003e=0) and iterate until the sum of the digits is a single-digit number.\r\nExample:\r\n Input  n = 7\r\n Output sum = 2\r\nbecause 2^7 = 128, and 1+2+8=11 and 1+1=2.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20px; 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: normal; text-decoration: none; white-space: normal; \"\u003e\u003cdiv style=\"display: block; min-width: 0px; padding-top: 0px; vertical-align: baseline; \"\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-bottom: 9px; 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=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003eGiven n, calculate the number 2^n (where n\u0026gt;=0) and\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"font-weight: bold; \"\u003eiterate\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003e until the sum of the digits is a single-digit number.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-bottom: 9px; 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=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003eExample:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-bottom: 10px; margin-left: 3px; margin-right: 3px; margin-top: 10px; 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-inline-end: 1px solid rgb(233, 233, 233); border-inline-start: 1px solid rgb(233, 233, 233); 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-top-left-radius: 0px; border-top-right-radius: 0px; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-height: 18px; padding-left: 4px; white-space: nowrap; \"\u003e\u003cspan style=\"border-inline-end: 0px none rgb(0, 0, 0); border-inline-start: 0px none rgb(0, 0, 0); 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-right: 45px; min-height: 0px; padding-left: 0px; tab-size: 4; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-right: 0px; \"\u003e Input  \u003c/span\u003e\u003cspan style=\"border-block-end: 0px none rgb(170, 4, 249); border-block-start: 0px none rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end: 0px none rgb(170, 4, 249); border-inline-start: 0px none 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-right: 0px; outline-color: rgb(170, 4, 249); text-decoration-color: rgb(170, 4, 249); \"\u003en = 7\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-inline-end: 1px solid rgb(233, 233, 233); border-inline-start: 1px solid rgb(233, 233, 233); 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-top-left-radius: 0px; border-top-right-radius: 0px; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-height: 18px; padding-left: 4px; white-space: nowrap; \"\u003e\u003cspan style=\"border-inline-end: 0px none rgb(0, 0, 0); border-inline-start: 0px none rgb(0, 0, 0); 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-right: 45px; min-height: 0px; padding-left: 0px; tab-size: 4; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-right: 0px; \"\u003e Output \u003c/span\u003e\u003cspan style=\"border-block-end: 0px none rgb(170, 4, 249); border-block-start: 0px none rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end: 0px none rgb(170, 4, 249); border-inline-start: 0px none 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-right: 0px; outline-color: rgb(170, 4, 249); text-decoration-color: rgb(170, 4, 249); \"\u003esum = 2\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-bottom: 9px; margin-left: 4px; margin-right: 10px; margin-top: 10px; text-align: left; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"display: inline; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; \"\u003e\u003cspan style=\"\"\u003ebecause 2^7 = 128, and 1+2+8=11 and 1+1=2.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function sum = your_fcn_name(n)\r\n  sum = n;\r\nend","test_suite":"%%\r\nn = 0;\r\ny_correct = 1;\r\nassert(isequal(your_fcn_name(n),y_correct))\r\n\r\n%%\r\nn = 1;\r\ny_correct = 2;\r\nassert(isequal(your_fcn_name(n),y_correct))\r\n\r\n%%\r\nn = 6;\r\ny_correct = 1;\r\nassert(isequal(your_fcn_name(n),y_correct))\r\n\r\n%%\r\nn = 21;\r\ny_correct = 8;\r\nassert(isequal(your_fcn_name(n),y_correct))\r\n\r\n%%\r\nn = 111;\r\ny_correct = 8;\r\nassert(isequal(your_fcn_name(n),y_correct))\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":7,"created_by":425,"edited_by":26769,"edited_at":"2022-04-12T13:08:05.000Z","deleted_by":null,"deleted_at":null,"solvers_count":34,"test_suite_updated_at":"2022-04-12T13:08:05.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2016-10-04T14:39:05.000Z","updated_at":"2025-12-09T13:07:08.000Z","published_at":"2016-10-04T14:42:41.000Z","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 n, calculate the number 2^n (where n\u0026gt;=0) and\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eiterate\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e until the sum of the digits is a single-digit number.\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\u003eExample:\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[ Input  n = 7\\n Output sum = 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\u003ebecause 2^7 = 128, and 1+2+8=11 and 1+1=2.\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":44859,"title":"Get the value 100","description":"Knowing that 123-45-67+89=100, write a function that gives this result for any order of the digits in the input. Otherwise, the function should give 'NaN'.","description_html":"\u003cp\u003eKnowing that 123-45-67+89=100, write a function that gives this result for any order of the digits in the input. Otherwise, the function should give 'NaN'.\u003c/p\u003e","function_template":"function y = your_fcn_name(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 125346798;\r\ny_correct = 100;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 215346978;\r\ny_correct = 100;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 152346897;\r\ny_correct = 100;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 1523897;\r\ny_correct = 'NaN';\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 158921;\r\ny_correct = 'NaN';\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n\r\n%%\r\nx = 999999999;\r\ny_correct = 'NaN';\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":274816,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":27,"test_suite_updated_at":"2019-03-12T22:42:31.000Z","rescore_all_solutions":true,"group_id":1,"created_at":"2019-03-01T20:00:33.000Z","updated_at":"2026-04-07T18:41:30.000Z","published_at":"2019-03-01T20:00:33.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eKnowing that 123-45-67+89=100, write a function that gives this result for any order of the digits in the input. Otherwise, the function should give 'NaN'.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":1164,"title":"Sum the Digits of a Number","description":"Given an integer, sum the digits repeatedly until you end up with a single value less than 10.\r\n\r\nFor example, if you add the digits of the number 123456789, you get 1+2+3+4+5+6+7+8+9 = 45, and then 4+5 = 9\r\n\r\nThe input will be a string of digits. The output should be the scalar value of the repeated sum of digits.","description_html":"\u003cp\u003eGiven an integer, sum the digits repeatedly until you end up with a single value less than 10.\u003c/p\u003e\u003cp\u003eFor example, if you add the digits of the number 123456789, you get 1+2+3+4+5+6+7+8+9 = 45, and then 4+5 = 9\u003c/p\u003e\u003cp\u003eThe input will be a string of digits. The output should be the scalar value of the repeated sum of digits.\u003c/p\u003e","function_template":"function s = digit_sum(a)\r\n  s = [];\r\nend","test_suite":"%%\r\n\r\nassessFunctionAbsence('regexp','FileName','digit_sum.m')\r\n\r\n%%\r\nx = '123456789';\r\nassert(isequal(digit_sum(x),9))\r\n\r\n%%\r\nx = '13579';\r\nassert(isequal(digit_sum(x),7))\r\n\r\n%%\r\nx = '199';\r\nassert(isequal(digit_sum(x),1))\r\n\r\n%%\r\nx = '19999999999999999999999';\r\nassert(isequal(digit_sum(x),1))\r\n\r\n%%\r\nx = '1036654257757615301164620529930689045676735109259113932133140605724504628985272966102896725849035075';\r\nassert(isequal(digit_sum(x),5))\r\n\r\n%%\r\nx = '74021245485969262660226837606390444737401741361729271205654666692721644673648826558231964656575921104437679911605584367531520724637367403421848373873279364871895851147873501164141085965889086954824958';\r\nassert(isequal(digit_sum(x),1))\r\n\r\n%%\r\nx = '5851147873501164141085965889086954824958752606678975950184825606304112110625645414882256429011165097708998751310932346085834016381957924478113053129649177515212802040810341932020576007951832700665777265307367115487700079617116367572798033657320723526417122504117269467461912747320644603761100467516110111332287512097531691230649461317836258532443574410236994277771642081168571956087153534120969197542720767643838785694086392663104173875192923061073636098783655224289050890906758861210169349969736226546755550793938442137760897037722646218791104180057313259613054984813997639176837835953637446938790362276560342782718153854834909165636800962412231318093037756803017785098259784452756314377610539928858957504653988358962604698474998342789551842878266142728834686534787064418323355335697481001330501689595534408048368891285568524496673551564873437746977135402808065251650010486580915150789952155706519549648556325841434843312042241472703020112115992435204109497067652723884369953849057131345052221998713';\r\nassert(isequal(digit_sum(x),3))\r\n\r\n%%\r\nx = '908345908234987234589734591724598712345987345273472134987134589764359712459087124587213458149576345917461982455851147873501164141085965889086954824958752606678975950184825606304112110625645414882256429011165097708998751310932346085834016381957924478113053129649177515212802040810341932020576007951832700665777265307367115487700079617116367572798033657320723526417122504117269467461912747320644603761100467516110111332287512097531691230649461317836258532443574410236994277771642081168571956087153534120969197542720767643838785694086392663104173875192923061073636098783655224289050890906758861210169349969736226546755550793938442137760897037722646218791104180057313259613054984813997639176837835953637446938790362276560342782718153854834909165636800962412231318093037756803017785098259784452756314377610539928858957504653988358962604698474998342789551842878266142728834686534787064418323355335697481001330501689595534408048368891285568524496673551564873437746977135402808065251650010486580915150789952155706519549648556325841434843312042241472703020112115992435204109497067652723884369953849057131345059345982439827345092847145091842350981273459871458321098243593498348934598234098145091245845745091240912345931475871452221993493498324734583402901234912925903469023609823768684168426843682436846824645654268462546242684234365243284325436590349324982345923459832145097614359071642509832457234591249314598734590872134590871645098132450921347509237602389760914651346592451257153';\r\nassert(isequal(digit_sum(x),6))\r\n","published":true,"deleted":false,"likes_count":6,"comments_count":1,"created_by":1057,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":300,"test_suite_updated_at":"2017-11-16T13:16:47.000Z","rescore_all_solutions":true,"group_id":1,"created_at":"2013-01-02T18:59:46.000Z","updated_at":"2026-02-19T10:27:43.000Z","published_at":"2013-01-02T19:00:21.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven an integer, sum the digits repeatedly until you end up with a single value less than 10.\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 you add the digits of the number 123456789, you get 1+2+3+4+5+6+7+8+9 = 45, and then 4+5 = 9\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 input will be a string of digits. The output should be the scalar value of the repeated sum of digits.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":52619,"title":"Find the nth nude number","description":"The number 672 is a nude number because it openly displays three of its divisors: 6, 7, and 2. In other words, a nude number is divisible by its individual digits. \r\nWrite a function to return the th nude number.","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: 72px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 36px; transform-origin: 407px 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: 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: 363.683px 7.79167px; transform-origin: 363.683px 7.79167px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe number 672 is a nude number because it openly displays three of its divisors: 6, 7, and 2. In other words, a nude number is divisible by its individual digits. \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: 90.1px 7.79167px; transform-origin: 90.1px 7.79167px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eWrite a function to return the \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"font-family: \u0026quot;STIXGeneral\u0026quot;, \u0026quot;STIXGeneral-webfont\u0026quot;, serif; font-style: italic; font-weight: 400; color: rgb(0, 0, 0);\"\u003en\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: 5.83333px 7.79167px; transform-origin: 5.83333px 7.79167px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eth\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: 44.7333px 7.79167px; transform-origin: 44.7333px 7.79167px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e nude number.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = nudeNum(n)\r\n  y = f(n)\r\nend","test_suite":"%%\r\nn = 7;\r\ny_correct = 7;\r\nassert(isequal(nudeNum(n),y_correct))\r\n\r\n%%\r\nn = 17;\r\ny_correct = 44;\r\nassert(isequal(nudeNum(n),y_correct))\r\n\r\n%%\r\nn = 98;\r\ny_correct = 1236;\r\nassert(isequal(nudeNum(n),y_correct))\r\n\r\n%%\r\nn = 446;\r\ny_correct = 13248;\r\nassert(isequal(nudeNum(n),y_correct))\r\n\r\n%%\r\nn = 1151;\r\ny_correct = 46872;\r\nassert(isequal(nudeNum(n),y_correct))\r\n\r\n%%\r\nn = 9867;\r\ny_correct = 1148448;\r\nassert(isequal(nudeNum(n),y_correct))\r\n\r\n%%\r\nn = 10001;\r\ny_correct = 1164264;\r\nassert(isequal(nudeNum(n),y_correct))\r\n\r\n%%\r\nfiletext = fileread('nudeNum.m');\r\nillegal = contains(filetext, 'assignin') || contains(filetext, 'regexp') || contains(filetext, 'oeis'); \r\nassert(~illegal)","published":true,"deleted":false,"likes_count":3,"comments_count":0,"created_by":46909,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":19,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2021-08-26T04:39:55.000Z","updated_at":"2026-01-14T15:21:01.000Z","published_at":"2021-08-26T04:43:48.000Z","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\u003eThe number 672 is a nude number because it openly displays three of its divisors: 6, 7, and 2. In other words, a nude number is divisible by its individual digits. \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\u003eWrite a function to return the \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\u003cw:attr w:name=\\\"altTextString\\\" w:val=\\\"n\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003eth\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e nude number.\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":58926,"title":"Neural Net: Convolutional NN Matrices Determination for LED Digit images","description":"This challenge is to return final WH and WP matrices, given XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidden layer and Softmax on the output layer. Training images are LED binary matrices of digits 1:9 and 0. A fun extension is to add LED variants and see if trained WH/WP give expected result.\r\n[WP,WH]=ConvNN_Process(XImgset,K,WH,WP,EPY)\r\n \r\nThe matlab Latex code for making the CNN Processing chart included in template.\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: 691.5px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 345.75px; transform-origin: 407px 345.75px; vertical-align: baseline; \"\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=\"\"\u003eThis challenge is to return final WH and WP matrices, given XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidden layer and Softmax on the output layer. Training images are LED binary matrices of digits 1:9 and 0. A fun extension is to add LED variants and see if trained WH/WP give expected result.\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: 162.5px 8px; transform-origin: 162.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e[WP,WH]=ConvNN_Process(XImgset,K,WH,WP,EPY)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 529.5px; 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 264.75px; text-align: left; transform-origin: 384px 264.75px; 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: 875px;height: 524px\" 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data-image-state=\"image-loaded\" width=\"875\" height=\"524\"\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: 257px 8px; transform-origin: 257px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe matlab Latex code for making the CNN Processing chart included in template.\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 [WP,WH]=ConvNN_Process(XImg,K,WH,WP,EPY)\r\n %nX=size(XImg,3); %Number training images\r\n %nK=size(K,3); % Number kernels\r\n %XC=zeros(5,3,nK); %Pre-alloc for speed\r\n \r\n for epoch=1:1000 % Number of cycles to evolve WH and WP\r\n  dWH=0*WH;\r\n  dWP=0*WP;\r\n  for iCase=1:nX  %Cycle thru all Images while accumulating dWH and dWP\r\n %Forward Pass  X(7,5,nX)-Ximg,Conv-XC(5,3,nK),ReLU-XCY3(5,3,nK),XCY(1,nK*15+1)(1,91)\r\n % XCYV*WH-H(1,21), ReLU(H)-HY(1,21), HY*WP-P(1,10), Softmax(P)-PY\r\n   for k=1:nK\r\n    %XC(:,:,k)=(conv2(XImg(:,:,iCase),K(:,:,k),'valid')); %Use rot90 Kernel to make output align\r\n   end\r\n\r\n   %XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive; safer to leave in for K offset case\r\n   %XCY=[XCY3(:)' 1]; % 1,nK*15+1  (1,91)  add a 1 for offset term\r\n \r\n   %[dWPi,dWHi]=Neural_ReLU_Back_Propagation(XCY,WH,WP,EPY(iCase,:));\r\n \r\n %Accumulate across all sample cases\r\n   %dWP=dWP+dWPi;\r\n   %dWH=dWH+dWHi;\r\n \r\n  end % iCase\r\n\r\n  %WP=WP+dWP/nX; % dWP/nX  Valid\r\n  %WH=WH+dWH/nX; % Usage /nX^2 requires 10K epochs for \u003e.8 PYs\r\n\r\n end % epoch\r\nend %ConvNN_Process\r\n\r\nfunction [dWP,dWH]=Neural_ReLU_Back_Propagation(X,WH,WP,EPY)\r\n% X will be single case [X1 X2 ... XN 1]\r\n  LR=1; % Learning Rate\r\n  \r\n  H=X*WH;\r\n  HY=max(0,H); % ReLU\r\n  \r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 PY2 ... PYM]\r\n  \r\n  %Back Propagation Calculations\r\n  ErrPY=EPY-PY;\r\n  \r\n  dPY=PY.*(1-PY).*ErrPY;\r\n  dWP=LR*HY'.*dPY;\r\n  \r\n  dHY=HY.*(1-HY).*sum(WP.*dPY,2)';\r\n  dWH=LR*X'.*dHY;\r\nend % Neural_ReLU_Back_Propagation\r\n\r\n\r\n%{\r\nfunction NNConv_flow\r\n%Convolution neural net process flow\r\n\r\n%shape prep\r\nr = 10;r5=5;\r\nphi = 0:0.01:2*pi;\r\ncxA = r*cos(phi);\r\ncyA = r*sin(phi);\r\n\r\nrxA=[0 2*r 2*r   0 0]';rx5=[0 r r 0 0]';\r\nryA=[0   0 2*r 2*r 0]';ry5=[0 0 r r 0]';\r\n\r\n\r\nf=figure(1);clf;\r\nf.Position=[1935 122 1459 873]; % Dual Monitor setting\r\n\r\nplot([0;160;160;0;0],[-5;-5;100;100;-5],'k','linewidth',2);hold on\r\nxticks([]);yticks([]); %Ticks/Labels off\r\naxis equal;axis tight;\r\n\r\npatch(rxA*1.9+48,ryA+75,'y')\r\ntext(50,93,'Images','Fontsize',14);text(65,93,'Kernels','Fontsize',14);\r\nfor j=0:3\r\n plot(rx5+50+j,ry5+81-j,'k','linewidth',1);\r\n plot(rx5+65+j,ry5+81-j,'k','linewidth',1);\r\nend\r\ntext(79,90,'EPY','Fontsize',14);text(79,86,'WH','Fontsize',14);text(79,82,'WP','Fontsize',14);\r\ntext(49,76.5,'Initial Inputs','Fontsize',14);\r\nquiver(86,86,3,0,'k','LineWidth',3.5,'MaxHeadSize',1);\r\n\r\npatch(rxA*3.5+89,ryA*1.9+56,[1 .75 .4])\r\ntext(90,92.5,'Epoch:  Cycle over Training Images (1K to 10K)','Fontsize',14);\r\ntext(92,89,'Loop over Images to Update WP and WH','Fontsize',14);\r\ntext(92,86,'dWP=0;  dWH=0','Fontsize',14);\r\ntext(92,62,'WP = WP + dWP / nX   %nX = # Training images','Fontsize',14);\r\ntext(92,58,'WH = WH + dWH / nX','Fontsize',14);\r\n\r\npatch(rxA*3.3+91,ryA*0.95+65,[.75 1 .4])\r\ntext(92,82,'Cases:  Cycle thru Training Images','Fontsize',14);\r\ntext(94,79,'Loop over Convolutions per Training Image ','Fontsize',14);\r\ntext(94,75.5,'Create XC ( : , : , k ) - Convolution Planes Image_{i}','Fontsize',14);\r\ntext(96,73,'Create XCY - Convolution Set Vector [1,91]','Fontsize',14);\r\ntext(98,70,'Perform dWP dWH Back Propagation','Fontsize',14);\r\ntext(98,67,'Update dWP and dWH','Fontsize',14);\r\n\r\npatch(rxA*3.5+89,ryA*2.4+7,[.4 1 .75])\r\ntext(96,53,'Processing Numerical Convergence Concerns','Fontsize',14);\r\ntext(90,49,'Kernels need to be scaled(sum \u003c=1) or offset(sum~=0)','Fontsize',14);\r\ntext(90,45,'WH and WP require offset and scale normalization','Fontsize',14);\r\ntext(90,41,'WH=[(rand(90,20)-.5)/sqrt(90+20) zeros(90,1)]','Fontsize',14);\r\ntext(90,37,'WP=(rand(21,10)-.5)/sqrt(21+10);','Fontsize',14);\r\ntext(93,33,'Offset to achieve zero-sum','Fontsize',14);\r\ntext(93,29,'Scale to avoid large positive sum','Fontsize',14);\r\ntext(90,25,'nX factor for WP, WH updates needed for convergence','Fontsize',14);\r\ntext(90,21,'Scale mods change convergence rate and stability','Fontsize',14);\r\ntext(92,17,'(2*nX) requires 2K Epochs to achieve .90 Predictions','Fontsize',14);\r\ntext(90,13,'WH w=20 was arbitrary at 2 * # Classes','Fontsize',14);\r\ntext(90,9,'WH h=91 is conv(h*w)*Kernels +1 ','Fontsize',14);\r\n\r\npatch(rxA*3.5+89,ryA*.5-4,[1 .4 1])\r\ntext(90,4.5,'Kernels are to capture features','Fontsize',14);\r\ntext(90,1.5,'Internal Corners and Straights were selected','Fontsize',14);\r\ntext(90,-1.5,'Centering done for debugging (not required)','Fontsize',14);\r\n\r\ntext(1,97,'Convolution Neural Net: Forward Pass and Back Propagation WP \u0026 WH','Fontsize',20);\r\n\r\ntext(1,93.5,'\\color[rgb]{1 .5 .2}Ten Input Images(7x5) [Ringed by 0s]','Fontsize',12) %Valid\r\ntext(1,91,'\\bf 1  111 111 1 1 111 1   111 111 111 111','Fontsize',9,'Fontname','Courier')  %bf bold_font\r\ntext(1,91,'\\bf\\color{red}. .          .       ..','Fontsize',9,'Fontname','Courier')  %bold_font, color\r\ntext(1,89,'\\bf 1    1   1 1 1 1   1     1 1 1 1 1 1 1','Fontsize',9,'Fontname','Courier')\r\ntext(1,89,'\\bf\\color{red}. . ..  ..   .   ..  .. ..   .   .   . ','Fontsize',9,'Fontname','Courier')\r\ntext(1,87,'\\bf 1  111 111 111 111 111   1 111 111 1 1','Fontsize',9,'Fontname','Courier')\r\ntext(1,87,'\\bf\\color{red}. .                     ..           . ','Fontsize',9,'Fontname','Courier')\r\ntext(1,85,'\\bf 1  1     1   1   1 1 1   1 1 1   1 1 1','Fontsize',9,'Fontname','Courier')\r\ntext(1,85,'\\bf\\color{red}. .  .. ..  ..  ..   .  ..   .  ..   . ','Fontsize',9,'Fontname','Courier')\r\ntext(1,83,'\\bf 1  111 111   1 111 111   1 111   1 111','Fontsize',9,'Fontname','Courier')\r\ntext(1,83,'\\bf\\color{red}. .         ..          ..      ..','Fontsize',9,'Fontname','Courier')\r\n\r\ntext(1,80.5,'\\color[rgb]{1 .2 .5}Six Conv Kernels (3x3) TL TR LL LR V H','Fontsize',12) %Valid\r\ntext(1,78,'\\bf         1   1   1  ','Fontsize',9,'Fontname','Courier')  %bf bold_font\r\ntext(1,78,'\\bf\\color{red}... ... . . . . . . ...','Fontsize',9,'Fontname','Courier')  %bold_font, color\r\ntext(1,76,'\\bf 11 11   11 11   1  111','Fontsize',9,'Fontname','Courier')\r\ntext(1,76,'\\bf\\color{red}.     . .     . . .','Fontsize',9,'Fontname','Courier')\r\ntext(1,74,'\\bf.1. .1. ... ... .1. ...','Fontsize',9,'Fontname','Courier')\r\ntext(1,74,'\\bf\\color{red}. . . . ... ... . . ...','Fontsize',9,'Fontname','Courier')\r\n\r\ntext(1,71,'EPY=eye(10)','Fontsize',18,'Color','b');\r\ntext(1,66,'XC(:,:,k)=conv2(XImg(:,:,i),K(:,:,k),''valid'')  % [5,3]','Fontsize',18,'Color','b');\r\ntext(5,61,'XCY3=max(0,XC)  % ReLU [5,3,6]','Fontsize',18,'Color','b');\r\ntext(5,56,'XCY=[XCY3(:)'' 1]   % [1,91]','Fontsize',18,'Color','b');\r\n\r\nstr='$$ XCY*WH=H ; $$';\r\ntext(1,51,str,'Interpreter','latex','Fontsize',16);\r\nstr='$$ H=\\left[\\matrix{ H_{1} \u0026 ... \u0026 H_{20} \u0026 1} \\right]  $$'; \r\ntext(32,51,str,'Interpreter','latex','Fontsize',16);\r\n\r\nstr='$$ ReLU(H)=HY  $$'; \r\ntext(1,47,str,'Interpreter','latex','Fontsize',16);\r\nstr='$$ HY=\\left[\\matrix{ HY_{1} \u0026 ... \u0026 HY_{20} \u0026 1} \\right]  $$'; \r\ntext(32,47,str,'Interpreter','latex','Fontsize',16);\r\n\r\nstr='$$ HY*WP=P;  $$';\r\ntext(1,43,str,'Interpreter','latex','Fontsize',16);\r\nstr='$$ P=\\left[\\matrix{ P_{1} \u0026 ... \u0026 P_{10} } \\right]  $$'; \r\ntext(32,43,str,'Interpreter','latex','Fontsize',16);\r\n\r\nstr='$$ Softmax(P)=PY;  $$'; \r\ntext(1,39,str,'Interpreter','latex','Fontsize',16);\r\nstr='$$ PY=\\left[\\matrix{ PY_{1} \u0026 ... \u0026 PY_{10}} \\right]  $$'; \r\ntext(32,39,str,'Interpreter','latex','Fontsize',16);\r\n\r\ntext(5,34.5,'Softmax(P)=e^{P}/\\Sigmae^{P}','Fontsize',20,'Color',[1 .5 .2]);\r\n\r\ntext(1,28.5,'[ dWPi , dWHi ] = ...','Fontsize',18,'Color','b');\r\ntext(1,23.8,'Back\\_Prop\\_WP\\_WH ( XCY, WH, WP, EPY(i,:) )','Fontsize',18,'Color','b');\r\n\r\ntext(15,19,'WH','Fontsize',18);\r\nstr='$$ \\left[\\matrix{ WH_{1,1} \u0026 ... \u0026 WH_{1,20} \u0026 0 \\cr WH_{2,1} \u0026 ... \u0026 WH_{2,20} \u0026 0 \\cr : \u0026 : \u0026 : \u0026 0 \\cr WH_{90,1} \u0026 ... \u0026 WH_{90,20} \u0026 0 \\cr bH_{91,1} \u0026 ... \u0026 bH_{91,20} \u0026 1 } \\right]  $$'; %valid\r\ntext(1,6,str,'Interpreter','latex','Fontsize',18);\r\n\r\ntext(58,19,'WP','Fontsize',18);\r\nstr='$$ \\left[\\matrix{ WP_{1,1} \u0026 ... \u0026 WP_{1,10} \\cr WP_{2,1} \u0026 ... \u0026 WP_{2,10} \\cr : \u0026 : \u0026 :  \\cr WP_{20,1} \u0026 ... \u0026 WP_{20,10} \\cr bP_{21,1} \u0026 ... \u0026 bP_{21,10} } \\right]  $$'; %valid\r\ntext(48,6,str,'Interpreter','latex','Fontsize',18);\r\n\r\nend %NNConv_flow\r\n%}\r\n","test_suite":"%%\r\nImgsetstr= ... %5x3 digits 1:9 0\r\n ['010111111101111100111111111111';\r\n  '010001001101100100001101101101';\r\n  '010111111111111111001111111101';\r\n  '010100001001001101001101001101';\r\n  '010111111001111111001111001111'];\r\nImgsetv=Imgsetstr-'0';\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\nnClasses=10;\r\nEPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nKsetstr= ... %3x3 kernel mask (will be scaled/offset)\r\n ['000000010010010000'; %Centered corners and vert/horiz\r\n  '011110011110010111'; %Kernels are identifying Features\r\n  '010010000000010000'];\r\n\r\nKsetv=Ksetstr-'0';\r\nKh=size(Ksetv,1);\r\nnK=size(Ksetv,2)/Kh; %Number of Kernels\r\nKset=reshape(Ksetv,Kh,Kh,nK);\r\n%Kernel needs normalization either scale or offset; Two large scale slows convergence or possible fail\r\nKsetr90=rot90(Kset(:,:,:),2)/3; % Rotate and normalize 3, each kernel sum is 3 Valid  2-Fails\r\n%Ksetr90=rot90(Kset(:,:,:),2)-.5; % Rotate and offset -0.5  Valid \r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\n%Stability sensitive to WP and WH values; rand start needs offset and normalization\r\n% X(7,5,nX) XC(5,3,nK) (XCY(1,91) WH(91,21) WP(21,10)\r\nztic=tic;\r\nfor ztry=1:5 %Allow five processing attempts to get a working solution\r\nWH=[(rand(90,20)-.5)/sqrt(90+20) zeros(90,1)]; % 90=nK*15, 20 is arbitrary at 2*nCases WH(91,21)  Valid\r\nWH=[WH; zeros(1,20) 1]; % offset row, Start with zero bias\r\n\r\nWP=(rand(21,10)-.5)/sqrt(21+10);  % 10 output states  Valid\r\n\r\n[WP,WH]=ConvNN_Process(XImgset,Ksetr90,WH,WP,EPY);\r\nfprintf('Process Time: %.3f sec\\n\\n',toc(ztic));\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),Ksetr90(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 PY2]\r\n  [~,pcase]=max(PY,[],2);\r\n  [~,pexp]=max(EPY,[],2);\r\n  \r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  \r\n  if isequal(pcase,pexp),break;end\r\n  \r\nend % ztry  Allowed 5 trials as rand may not always converge\r\n  \r\nvalid=isequal(pcase,pexp);\r\nassert(valid)\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":3097,"edited_by":3097,"edited_at":"2023-08-30T05:22:25.000Z","deleted_by":null,"deleted_at":null,"solvers_count":3,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2023-08-30T04:01:42.000Z","updated_at":"2023-08-30T05:22:28.000Z","published_at":"2023-08-30T05:22:28.000Z","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\u003eThis challenge is to return final WH and WP matrices, given XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidden layer and Softmax on the output layer. Training images are LED binary matrices of digits 1:9 and 0. A fun extension is to add LED variants and see if trained WH/WP give expected result.\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[WP,WH]=ConvNN_Process(XImgset,K,WH,WP,EPY)\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=\\\"524\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"875\\\"/\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\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 matlab Latex code for making the CNN Processing chart included in template.\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 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Net: Convolutional NN Back Propagation WP/WH/K  LED Digit images; Variant Images Scored","description":"This challenge is to return final WH, WP, and K matrices, given initial XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidden layer and Softmax on the output layer. Training images are LED binary matrices of digits 1:9 and 0. Sets of variants will be tested to show success beyond the training set. (Scale, Offset, Noise, zeroed node(s), intra-shifts).\r\nBack Propagation on WH, WP, and K.  BP on K leads to much stronger solution.\r\n\r\nTest sets 2 thru 5 show various Pixelations of numbers and the Neural Net success rate. Just fun to look at the data.\r\nAppears more training sets required and possibly more nodes to have high success. One translate not good.\r\n[WP,WH,K]=ConvNN_Process(XImgset,K,WH,WP,EPY)\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: 751.5px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 375.75px; transform-origin: 407px 375.75px; vertical-align: baseline; \"\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: 383px 8px; transform-origin: 383px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThis challenge is to return final WH, WP, and K matrices, given initial XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidden layer and Softmax on the output layer. Training images are LED binary matrices of digits 1:9 and 0. Sets of variants will be tested to show success beyond the training set. (Scale, Offset, Noise, zeroed node(s), intra-shifts).\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: 250px 8px; transform-origin: 250px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eBack Propagation on WH, WP, and K.  BP on K leads to much stronger solution.\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\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: 363px 8px; transform-origin: 363px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eTest sets 2 thru 5 show various Pixelations of numbers and the Neural Net success rate. Just fun to look at the data.\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: 342px 8px; transform-origin: 342px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eAppears more training sets required and possibly more nodes to have high success. One translate not good.\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: 169px 8px; transform-origin: 169px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e[WP,WH,K]=ConvNN_Process(XImgset,K,WH,WP,EPY)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv 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\" data-image-state=\"image-loaded\" width=\"875\" height=\"524\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function [WP,WH,K]=ConvNN_Process(XImg,K,WH,WP,EPY)\r\n %nX=size(XImg,3); %Number training images\r\n %nK=size(K,3); % Number kernels\r\n %XC=zeros(5,3,nK); %Pre-alloc for speed\r\n %nClasses=size(EPY,2);\r\n \r\n for epoch=1:2000 % Number of cycles to evolve WH and WP\r\n   dK=0*K;\r\n  dWH=0*WH;\r\n  dWP=0*WP;\r\n  for iCase=1:nX  %Cycle thru all Images while accumulating dWH and dWP\r\n %Forward Pass  X(7,5,nX)-Ximg,Conv-XC(5,3,nK),ReLU-XCY3(5,3,nK),XCY(1,nK*15+1)(1,91)\r\n % XCYV*WH-H(1,21), ReLU(H)-HY(1,21), HY*WP-P(1,10), Softmax(P)-PY\r\n   X=XImg(:,:,iCase);\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(X,K(:,:,k),'valid')); %Use rot90 Kernel to make output align\r\n   end\r\n\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive; safer to leave in for K offset case\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15+1  (1,91)  add a 1 for offset term\r\n \r\n   %Back Propagation Processing for WP, WH, and K\r\n%   [dWPi, dWHi, dKi]=BP_WP_WH_K(X,K,XCY3,XCY,WH,WP,EPY(iCase,:));\r\n \r\n %Accumulate across all sample cases\r\n   dWP=dWP+dWPi;\r\n   dWH=dWH+dWHi;\r\n   dK=dK+dKi;\r\n \r\n  end % iCase\r\n  \r\n  WP=WP+dWP/nX; % dWP/nX  Valid\r\n  WH=WH+dWH/nX; % Usage /nX^2 requires 10K epochs for \u003e.8 PYs\r\n  K=K+dK/nX; %dPY, dHY standard  \r\n\r\n end % epoch\r\nend %ConvNN_Process\r\n\r\nfunction [dWP, dWH, dK]=BP_WP_WH_K(X,K,XCY3,XCY,WH,WP,EPY)\r\n%raz ReLU/Softmax\r\n  nK=size(XCY3,3); % Kernels\r\n  LR=1; % Learnign Rate\r\n  dK=0*K;\r\n  \r\n  %Forward Pass Processing\r\n  H=XCY*WH;\r\n%   HY=1./(1+exp(-H)); %Sigmoid\r\n%   HY(:,end)=1; %Sigmoid\r\n  HY=max(0,H); %ReLU\r\n  \r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 PY2]\r\n  \r\n  %Back Propagation Calculations\r\n  ErrPY=EPY-PY ;\r\n  dPY=PY.*(1-PY).*ErrPY; % Standard\r\n  dWP=LR*HY'.*dPY;\r\n  \r\n  %dHY=HY.*(1-HY).*sum(WP.*dPY,2)';\r\n  dHY=HY.*(1-HY).*(dPY*WP'); % alternate calc\r\n  dWH=LR*XCY'.*dHY;\r\n  \r\n  %Kernel Update  Fast and Strong\r\n  dXCY=dHY*WH'; %dXCY.*(1-dXCY) is unstable\r\n  dXCY3=reshape(dXCY(1:end-1),size(XCY3)); %1,90  no offset term. Create (5,3,6)\r\n  dK3=XCY3.*dXCY3; % 5x3,6    5x3,6 .* 5x3,6\r\n     \r\n  for c=1:nK\r\n   dK(:,:,c)=conv2(X,dK3(:,:,c),'valid');  % X  7x5 , dK3     5x3  dKi 3x3,6\r\n  end \r\n  \r\nend % BP_WP_WH_K\r\n\r\n","test_suite":"%%\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 1:9 0\r\n ['010111111101111100111111111111';\r\n  '010001001101100100001101101101';\r\n  '010111111111111111001111111101';\r\n  '010100001001001101001101001101';\r\n  '010111111001111111001111001111'];\r\nImgsetv=Imgsetstr-'0';\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\nnClasses=10;\r\nEPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nKsetstr= ... %3x3 kernel mask (will be scaled/offset)\r\n ['000000010010010000'; %Centered corners and vert/horiz\r\n  '011110011110010111'; %Kernels are identifying Features\r\n  '010010000000010000'];\r\n\r\nKsetv=Ksetstr-'0';\r\nKh=size(Ksetv,1);\r\nnK=size(Ksetv,2)/Kh; %Number of Kernels\r\nKset=reshape(Ksetv,Kh,Kh,nK);\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\n%Stability sensitive to WP and WH values; rand start needs offset and normalization\r\n% X(7,5,nX) XC(5,3,nK) (XCY(1,91) WH(91,21) WP(21,10)\r\nztic=tic;\r\nfor ztry=1:5 %Allow three processing attempts to get a working solution\r\n %Kset=rand(Kh,Kh,nK); % To use Random Kernel Start\r\n Ksetr90=(rot90(Kset(:,:,:),2)-.5); % Rotate and offset -0.5\r\n Kbase=Ksetr90;\r\n WH=[(rand(90,20)-.5)/sqrt(90+20) zeros(90,1)]; % 90=nK*15, 20 is arbitrary at 2*nCases WH(91,21)  Valid\r\n WH=[WH; zeros(1,20) 1]; % offset row, Start with zero bias\r\n\r\nWP=(rand(21,10)-.5)/sqrt(21+10);  % 10 output states  Valid\r\n\r\n[WP,WH,K]=ConvNN_Process(XImgset,Kbase,WH,WP,EPY);\r\nfprintf('Process Time: %.3f sec\\n\\n',toc(ztic));\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  [~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('Ideal Input Training Cases\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  %fprintf('\\n\\n');\r\n  if ~isequal(pcase,pexp),continue;end %Bad random draw, retry\r\n  \r\n  %Scaled-50%\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  XN=XImgset/2; %Scale to 7x5 Image planes\r\n  XNS=XN; %figure variable\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XN(:,:,iCase),K(:,:,k),'valid'));\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,Xpcase]=max(PY,[],2);\r\n  [~,Xpexp]=max(EPY,[],2);\r\n  \r\n  fprintf('50%s Scale - NN Strong Scale Invariance, Worst is 8\\n',char(37));\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',Xpexp(i),Xpcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(Xpcase==Xpexp)/nX,'%');\r\n  \r\n  %Scaled-50% and Noise 60% added\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  XN=XImgset/2+.3*(rand(size(XImgset))-.5); %Scale and add Noise to 7x5 Image planes\r\n  XNSn=XN; %figure variable\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XN(:,:,iCase),K(:,:,k),'valid'));\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,Xpcase]=max(PY,[],2);\r\n  [~,Xpexp]=max(EPY,[],2);\r\n  \r\n  fprintf('50%s Scale and 60%s Noise added - Kernel Update Strong\\n',char(37),'%');\r\n  %Note: double % is a special Cody sequence so using %s to write % character\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',Xpexp(i),Xpcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(Xpcase==Xpexp)/nX,'%');\r\n  \r\n\r\n  %Offset+50%\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  XN=XImgset-.5; %Offset to 7x5 Image planes\r\n  XNo=XN;\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XN(:,:,iCase),K(:,:,k),'valid'));\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,Xpcase]=max(PY,[],2);\r\n  [~,Xpexp]=max(EPY,[],2);\r\n  \r\n  fprintf('50%s Offset - NN Strong Offset Invariance - Kernel Update strong\\n',char(37));\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',Xpexp(i),Xpcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(Xpcase==Xpexp)/nX,'%');\r\n  \r\n  %Offset-50% Noise-60%\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  XN=XImgset-.5+.6*(rand(size(XImgset))-.5); %Offset to 7x5 Image planes\r\n  XNon=XN;\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XN(:,:,iCase),K(:,:,k),'valid'));\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,Xpcase]=max(PY,[],2);\r\n  [~,Xpexp]=max(EPY,[],2);\r\n  \r\n  fprintf('50%s Offset 60%s Noise - NN Strong Offset/Noise Invariance - Kernel Update Strong\\n',char(37),'%');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',Xpexp(i),Xpcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(Xpcase==Xpexp)/nX,'%');\r\n  \r\n\r\n  figure(1); imagesc([reshape(XImgset,7,[]);reshape(XNS,7,[]);reshape(XNSn,7,50); ...\r\n                      reshape(XNo,7,[]);reshape(XNon,7,50)]);\r\n  xticks([]);yticks([]);axis equal;axis tight\r\n  \r\n  figure(2); imagesc([reshape(Kbase,3,[]);zeros(1,18);reshape(K,3,[]);zeros(1,18); ...\r\n                      reshape(Kbase-K,3,[])]);\r\n  xticks([]);yticks([]);axis equal;axis tight\r\n  \r\n  if isequal(pcase,pexp),break;end\r\n  \r\nend % ztry  Allowed 5 trials as rand may not always converge\r\n  \r\nvalid=isequal(pcase,pexp);\r\nassert(valid)\r\n\r\n%%\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 1 variants,3 variants\r\n ['100001010010000011110011111011';\r\n  '100001010110010011110001001001';\r\n  '100001010010010011010111011011';\r\n  '100001010010010011010001001001';\r\n  '100001111010010011010111111011'];\r\nImgsetv=Imgsetstr-'0';\r\npexp=[1 1 1 1 1 1 1 3 3 3]';\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\n%nClasses=10;\r\n%EPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nnK=size(K,3); %Number of Kernels\r\n\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\nfigure; imagesc(reshape(XImgset,7,[]));\r\nxticks([]);yticks([]);axis equal;axis tight\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  %[~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('Morphed 1s and 3s; Need more training\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  fprintf('\\n\\n');\r\n\r\nassert(1)\r\n\r\n\r\n%%\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 2 variants,4 variants\r\n ['011011100111110001000101101001';\r\n  '001001010001001101101111101011';\r\n  '111111001010010111111001101111';\r\n  '100100010100100001001001111001';\r\n  '111110001111011001001001001001'];\r\nImgsetv=Imgsetstr-'0';\r\npexp=[2 2 2 2 2 4 4 4 4 4]';\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\n%nClasses=10;\r\n%EPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nnK=size(K,3); %Number of Kernels\r\n\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\nfigure; imagesc(reshape(XImgset,7,[]));\r\nxticks([]);yticks([]);axis equal;axis tight\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  %[~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('Morphed 1s and 3s; Need more training\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  fprintf('\\n\\n');\r\n\r\nassert(1)\r\n\r\n\r\n%%\r\n\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 5,6,7,8 variants\r\n ['110110010111110100011111010010';\r\n  '100100100100100100001001101100';\r\n  '111111111111111110001001010010';\r\n  '001001001101101101001010101001';\r\n  '111011010111111110001100010010'];\r\nImgsetv=Imgsetstr-'0';\r\npexp=[5 5 5 6 6 6 7 7  8 5 ]';\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\n%nClasses=10;\r\n%EPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nnK=size(K,3); %Number of Kernels\r\n\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\nfigure; imagesc(reshape(XImgset,7,[]));\r\nxticks([]);yticks([]);axis equal;axis tight\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  %[~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('Morphed 1s and 3s; Need more training\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  fprintf('\\n\\n');\r\n\r\nassert(1)\r\n\r\n\r\n%%\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 7,9,0 variants\r\n ['110111111011111010010111101101';\r\n  '010101101101111101000001101100';\r\n  '010111111111111101010011111111';\r\n  '010001001001111101000001101001';\r\n  '010011111001111010010001111001'];\r\nImgsetv=Imgsetstr-'0';\r\npexp=[1 9 9 9 10 10 1 7  8 4 ]'; %Shape/Missing LEDs\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\n%nClasses=10;\r\n%EPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nnK=size(K,3); %Number of Kernels\r\n\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\nfigure; imagesc(reshape(XImgset,7,[]));\r\nxticks([]);yticks([]);axis equal;axis tight\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  %[~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('More training needed\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  fprintf('\\n\\n');\r\n\r\nassert(1)\r\n\r\n\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":3097,"edited_by":3097,"edited_at":"2023-09-07T03:20:35.000Z","deleted_by":null,"deleted_at":null,"solvers_count":3,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2023-09-07T02:30:44.000Z","updated_at":"2023-09-07T03:20:35.000Z","published_at":"2023-09-07T03:20:35.000Z","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\u003eThis challenge is to return final WH, WP, and K matrices, given initial XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidden layer and Softmax on the output layer. 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Just fun to look at the data.\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\u003eAppears more training sets required and possibly more nodes to have high success. 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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":252,"title":"Project Euler: Problem 16, Sums of Digits of Powers of Two","description":"2^15 = 32768 and the sum of its digits is 3 + 2 + 7 + 6 + 8 = 26.\r\n\r\nWhat is the sum of the digits of the number 2^N?\r\n\r\nThanks to \u003chttp://projecteuler.net/problem=16 Project Euler Problem 16\u003e.","description_html":"\u003cp\u003e2^15 = 32768 and the sum of its digits is 3 + 2 + 7 + 6 + 8 = 26.\u003c/p\u003e\u003cp\u003eWhat is the sum of the digits of the number 2^N?\u003c/p\u003e\u003cp\u003eThanks to \u003ca href=\"http://projecteuler.net/problem=16\"\u003eProject Euler Problem 16\u003c/a\u003e.\u003c/p\u003e","function_template":"function y = pow2_sumofdigits(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 0;\r\ny_correct = 1;\r\nassert(isequal(pow2_sumofdigits(x),y_correct))\r\n\r\n%%\r\nx = 1;\r\ny_correct = 2;\r\nassert(isequal(pow2_sumofdigits(x),y_correct))\r\n\r\n%%\r\nx = 15;\r\ny_correct = 26;\r\nassert(isequal(pow2_sumofdigits(x),y_correct))\r\n\r\n%%\r\nx = 345;\r\ny_correct = 521;\r\nassert(isequal(pow2_sumofdigits(x),y_correct))\r\n\r\n%%\r\nx = 999;\r\ny_correct = 1367;\r\nassert(isequal(pow2_sumofdigits(x),y_correct))\r\n\r\n%%\r\nx = 2000;\r\ny_correct = 2704;\r\nassert(isequal(pow2_sumofdigits(x),y_correct))","published":true,"deleted":false,"likes_count":3,"comments_count":2,"created_by":134,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":178,"test_suite_updated_at":"2012-02-04T07:44:27.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2012-02-03T20:15:41.000Z","updated_at":"2026-01-15T22:21:41.000Z","published_at":"2012-02-04T07:53:38.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e2^15 = 32768 and the sum of its digits is 3 + 2 + 7 + 6 + 8 = 26.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWhat is the sum of the digits of the number 2^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\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThanks to\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"http://projecteuler.net/problem=16\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eProject Euler Problem 16\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":57745,"title":"Easy Sequences 100: One-line Code Challenge - 100th Digit of 100th power of an Integer","description":"Given a integer , write a function that computes the  digit of . If  has less than  digits just output a NaN.\r\nFor example if , the function should output: . \r\n-------------\r\nNOTE: The following restrictions apply:\r\nThe function should only have one (1) line of code, excluding the function start line.\r\nSemicolons (;) are considered end-of-line characters.\r\nPlease suppress the function end line. Keyword 'end' is not allowed.\r\nImporting libraries is not allowed.\r\nRegular expressions, base conversion and string manipulation are not allowed.","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: 245.667px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 122.833px; transform-origin: 407px 122.833px; 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: 56.5px 8px; transform-origin: 56.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eGiven a integer \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"font-family: \u0026quot;STIXGeneral\u0026quot;, \u0026quot;STIXGeneral-webfont\u0026quot;, serif; font-style: italic; font-weight: 400; color: rgb(0, 0, 0);\"\u003en\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: 126px 8px; transform-origin: 126px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e, write a function that computes the \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEMAAAAmCAYAAACf8yaaAAAC7klEQVRoQ+2Yy0tVURTG8z9ImzUKcygY5GNiQgMxdBqUOBEcpBNH4iMHEb1QGlsNgmYV6FSsBg10EokoKAhqs4am4h9Q3ydr3Tbn7vPc51523X3g47z2Omet31l7r71P06WwVQg0BRZ/CQQYRjYEGAGGfXBohMwYROj70I+08fF/hvEAwb+AmqEhaLWRYHQg2PNIBqzhfKBWMFrx4DPoOI2ycZ82V+V8I4cdm2a1vYK236DJSAbUBAadmoImoBvQToag7qPNU2gT2oKuQbw2By2nAM1jSxAMutOSAaXC4IueCASNPwuMJbF5jv28AY79+DX0CRqJAZLXdhrPmYU4NhA8s5YfgVmoMIZx3Ccfg+1moEXDr4vDpAGUo3A7tAs9FvK0SYOhAR+hbY8lYHUwCorPLmoblwF6nZAeQawqn6Hr0C0BVmGStZqQ/oJYJcFgJh1ApG8Llo9gF3hveZaLbRoMs5poLFX+lQ1DvyxjjStnHH+YNdxMh1xsvYTx3ehOTMW4ic4vyR5CaRMwLrZewvgtgZ1g31LpjNUH6jzvKDQXW+9gcNKzXQAGu9NPB1vOLL2D0Qun1gvAGIfNnoPtG9ia5fgtzvshXrdBqssAasL4CEdYNeI2szpFYeS1ZdDMyhXpcq+wfwl1CySdf9zDOWfC76Qdx6tRqDIrLrOamDA4qbqTAOMZ7j2U+1EYeW0Jo5StVjDyDKBldBPvYNChIhVBJ3Eutl7COJT+mDUz2I4LLM5HXGy9hKGjOp1LmrZrFnDN0CWRuNh6CcMcRLlS/GDx0pyPcLzQAdDF1ksYdEpre1xV0EpiW9W62DoDKbOaqDNciDH9Wd+jXcVcmVYtodHexbYuMOig/gPgC60/RiKesCt8lWu3seefMT6HEyrbHynT3MXWCUhSZtD5Meim5Q0c/Rlg0oSHWXAXIozL0KkA+oJ92m97F9vCQLJ2k8Iv+JcMAwzjawUYAYa984bMCJkRMiO1sIVuErqJPUn+AGrjIja/c4HDAAAAAElFTkSuQmCC\" style=\"width: 33.5px; height: 19px;\" width=\"33.5\" height=\"19\"\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: 28.5px 8px; transform-origin: 28.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e digit of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 25.5px; height: 19px;\" width=\"25.5\" height=\"19\"\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-weight: 700; \"\u003e. \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=\"\"\u003eIf \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 25.5px; height: 19px;\" width=\"25.5\" height=\"19\"\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=\"\"\u003e has less than \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 25.5px; height: 18px;\" width=\"25.5\" height=\"18\"\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: 55.5px 8px; transform-origin: 55.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e digits just output a \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: 12px 8px; transform-origin: 12px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; font-weight: 700; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003eNaN\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: 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: 46.5px 8px; transform-origin: 46.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example if \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAAAlCAYAAAAHgqbCAAAGmElEQVR4Xu1cSaskRRB+8wtcjyIPl4Mg6MHlooKCC3ocwe0yILiCoAd38SAOOPeZcQ4Dc3BFT4IyKnhwA2dUFAUPLoiIJ1f8Afp9mAFhvaqsyIyqzq5+URD0e925RETGV7FkVu3Ziis0EBoY1MCe0E1oIDQwrIEASFhHaCCjgd0KkFuhk7N79PITvnslLGZjNXAOJLt5QLrX8f0P3d92K0COQxHngb7rKOQz/P/ExppHCHYRVPBcjxqux3dXgj4MgPynAQLkPdCBsJnQADTwTwDk/3ZQA5AzMMQFaZhf+txxQ1Mjb6cU8qTl+QZ9f2vIf3dq3um/rOSnpm8ApKPsEoAwbt0POhf0WjLEe/H5PejBPrdcubA13Wjkd4IeBT0GOmIY5Aq0eRLEvlqew/j/aCHIDNMVNRHeLkOv04t6bm15+gZAKgFCpb8BegfExF4uGtcnCTQET4u85eEEjNMSU/cYAEIZXga9DboDJF6Dd90vQH+ALmkAEskNmAvwIh9WgHj6ynoGQCoAQs/xKYgG2JfAETwfpHF7E7zOnFP9S77oNb4CXQWiN+M1BhABAdteDOqGMAQcE1jKfOlUzBrGuRttGB5+DXoh6dsKEE9fzVoApAIgh5Lx5RaLVTCGXqs2KhFHg3QMIAwreYce4pXAY9hoAZvB7quaCI9WgOhJPH0DIBUA+T3dzV7Fpw6v9FACIn63Si9SChDtPXIhYWvAe4zc0zcAUggQbVA5gEhY0uqua/Ugz4LBx5MObsPn0GYov78ltaNn3LFxVuUX7J08Ru7p6waIlATPgqyMF6VaciP+vjDJ/zE+d2y02HWz0pZjVSxteDmASNJL5nPt5hLOChAxHvLRl38IfxrwOSDNJY/HyD19qwEiW/N3QSO8o/BiOfAl0DEQY0Umsfq3p/C/tabOBfZef2OA0pp5CUBy+YUVSF4Zh/pbASLhYglAWlTnPEbu6VsNEFmYriGwFHgdSFywxK5sXxKLkzHvVXPnHgMIedK8nTkA+qUARMti9SA1evWupcfIPX3dAGE57fkkPe+oN3QMRrvmR/Cb9QgHhfJeNUdGLADR8fhQhWgpIZYAZKw61BrwHiP39HUDRBtLroZOY2/hmktBZgGITtT7NtCYl3EcetNWcltDLA2Q8we8IWVgTvlmkic8CBRhPc0rCuYOLL1H92qd3M0BEI5JD8FSruxWM//6EbSdfjuBT9n9bZHUlgKEMkWItdNaXB7EsgjWKkmpIc/V3uJBZG4WKq4FXQ06FcS8i0UBPj8gHqTVEQ3L2lAO6/q0Llt7wiRPXxdAdA29rzbOUOPXZE2lO8rrWsWyALN1vE4erQDRG5pWD3ITxn/LoogJ23iM3NPXBZCTUADj7KHwSifwpUpd5yrW2LrrBaF3KS01j41v+d0KEF1MyB1J0TK1OLToMXJP32qAaO/QV53Sp1prkrp1rmLlDFTfFMbOQFkMvbaNFSBcp29BzKWYR903MKHleE0tr5Z+HiP39K0GiK5q9O1viOvmIbfLQdYNQouy5mxTkoN0+bCea+Jdm8+985TqXKGKFSCUQfIL5kt9lSy91t0wTDaM/0Lfd0FzHUHxGLmnbzVAdOza3SwTt700cNBYagGiq1q5/R4d0nC+ubxMCUDIh4TLffyIgfXJpTeC51xvj5F7+lYDRCtGEnS664dAPPxWsik4p0coHbsUIJT5GRCfvWAh4ukRr6BDMPJGo+JLIqa8yNNBkBwuZIh7PyjnxfXejZSltWxDe1j6qAplmKOkrcHOOUpOZHj6cq4qgOjnA5ig840fdLHboPdBdLVLCam6hmkBCOXno5/yUBJjd8pteS2QGB3HEGBMCRCGS9f0oO1PfPc5iI/O5taGHo5ykT9ePI3ANR4qNDD8eiC15b7PlAChcd+ueNFi0eY+Ag2FqJ6+ep4qgOi7YAmae9Zt7b6yAITK5+nln0GeU8o05m3QUGK8dsoZYYjG1OIo/Jx6qgKIPl5i3XGfU4gpx7YAZIr5pMq3N3N3nmKeVY3BmyZL2vRAm3RVAUTizqH9jyUraBUAkXh/LF9Zih4Jin0g/bKHpfA+xmcxQHTSs9REPKcUAoSlSj7Xoq+aZ0uG5mFotaSHyHL6YmmbucdYbjNmiK1/1+8C07zw5RvmNytykBeTQjjIpgJEDhlqRW2it2xtlOs0f7fapXkzAaT45b7rJH3wEhqYWgOblnxPrZ8Yb5drIACyyw0gxM9rIAASFhIayGggABLmERrIaOBfqAwQRC4z3owAAAAASUVORK5CYII=\" style=\"width: 100px; height: 18.5px;\" width=\"100\" height=\"18.5\"\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: 90px 8px; transform-origin: 90px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, the function should output: \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 78px; height: 18.5px;\" width=\"78\" height=\"18.5\"\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: 4px 8px; transform-origin: 4px 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: 32.5px 8px; transform-origin: 32.5px 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: 23px 8px; transform-origin: 23px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eNOTE: \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: 99px 8px; transform-origin: 99px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe following restrictions apply:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 103.167px; 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 51.5833px; transform-origin: 391px 51.5833px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; 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=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 262px 8px; transform-origin: 262px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe function should only have one (1) line of code, excluding the function start line.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; block-size: 20.9333px; 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 10.4667px; text-align: left; transform-origin: 363px 10.4667px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 40.5px 8px; transform-origin: 40.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eSemicolons (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; 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-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 125.5px 8px; transform-origin: 125.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e) are considered end-of-line characters.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; block-size: 20.9333px; 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 10.4667px; text-align: left; transform-origin: 363px 10.4667px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 153px 8px; transform-origin: 153px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003ePlease suppress the function end line. Keyword '\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; font-weight: 700; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003eend'\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 46.5px 8px; transform-origin: 46.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e is not allowed.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; 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=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 102.5px 8px; transform-origin: 102.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eImporting libraries is not allowed.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; 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=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 248px 8px; transform-origin: 248px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eRegular expressions, base conversion and string manipulation are not allowed.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function d = digpow100(n)\r\n    import java.math.BigInteger\r\n    s = arrayfun(@(a) char(BigInteger(num2str(a)).pow(100)),n,'uni',0);\r\n    d = cellfun(@(a) str2num(a(100)),s);","test_suite":"%%\r\nn = 25;\r\nd_correct = 6;\r\nassert(isequal(digpow100(n),d_correct))\r\n%%\r\nn = 1:20;\r\nd_correct = [repelem(NaN,9) 0 4 3 0 1 1 1 3 8 4 0];\r\nassert(isequaln(digpow100(n),d_correct))\r\n%%\r\nn = 41:50;\r\nd_correct = [4 1 0 6 1 1 1 6 5 0];\r\nassert(isequaln(digpow100(n),d_correct))\r\n%%\r\nn = [111 222 333 444 555];\r\nd_correct = [0 2 3 3 6];\r\nassert(isequal(digpow100(n),d_correct))\r\n%%\r\nn = 12345;\r\nd_correct = 8;\r\nassert(isequal(digpow100(n),d_correct))\r\n%%\r\nn = 123456789;\r\nd_correct = 0;\r\nassert(isequal(digpow100(n),d_correct))\r\n%%\r\nimport java.math.BigInteger\r\nn = randi(10000,1,10)\r\nf = @(a) char(BigInteger(num2str(a)).pow(100));\r\nd_correct = [];\r\nfor a = n\r\n    if a \u003c 10\r\n        d_correct = [d_correct NaN];\r\n    else\r\n        b = f(a);\r\n        d_correct = [d_correct str2num(b(100))];\r\n    end\r\nend\r\nassert(isequal(digpow100(n),d_correct))\r\n%%\r\nfiletext = fileread('digpow100.m');\r\nnot_allowed = contains(filetext, 'import') || contains(filetext, 'str2') || contains(filetext, 'num2') || contains(filetext, 'dec2') || contains(filetext, 'base2') || contains(filetext, 'sprintf') || contains(filetext, 'regex') || contains(filetext, 'eval') || contains(filetext, 'assignin') || contains(filetext, 'end');\r\nassert(~not_allowed)\r\nc = 0;\r\nfor s = deblank(strtrim(splitlines(filetext)))'\r\n    if ~isempty(s{1}) \u0026\u0026 ~isequal(s{1}(1),'%')\r\n        c = c + numel(find(s{1}==';'));\r\n        if  ~isequal(s{1}(end),';')\r\n            c = c + 1;\r\n        end\r\n    end\r\nend\r\nassert(c\u003c=2)","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":255988,"edited_by":255988,"edited_at":"2023-03-06T03:48:34.000Z","deleted_by":null,"deleted_at":null,"solvers_count":2,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2023-03-03T04:05:24.000Z","updated_at":"2023-03-06T03:48:34.000Z","published_at":"2023-03-05T17:27:44.000Z","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:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eGiven a integer \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\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e, write a function that computes the \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\u003e100^{\\\\text{th}}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e digit of \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\u003en^{100}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e. \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003eIf \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\u003en^{100}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e has less than \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\u003e100\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e digits just output a \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNaN\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\u003eFor example if \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\u003ep = [9,\\\\ 10,\\\\ 11]\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e, the function should output: \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[\\\\text{NaN},\\\\ 0,\\\\ 4]\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\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\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:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNOTE: \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003eThe following restrictions apply:\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 function should only have one (1) line of code, excluding the function start line.\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\u003eSemicolons (\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\u003e;\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) are considered end-of-line characters.\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\u003ePlease suppress the function end line. Keyword '\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eend'\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is not allowed.\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\u003eImporting libraries is not allowed.\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\u003eRegular expressions, base conversion and string manipulation are not allowed.\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":273,"title":"Recurring Cycle Length (Inspired by Project Euler Problem 26)","description":"Preface: This problem is inspired by Project Euler Problem 26 and uses text from that question to explain what a recurring cycle is.\r\nDescription\r\nA unit fraction contains 1 in the numerator. The decimal representation of the unit fractions with denominators 2 to 10 are given:\r\n1/2  =   0.5\r\n1/3  =  0.(3)\r\n1/4  =   0.25\r\n1/5  =   0.2\r\n1/6  =   0.1(6)\r\n1/7  =   0.(142857)\r\n1/8  =   0.125\r\n1/9  =   0.(1)\r\n1/10 =   0.1\r\nWhere 0.1(6) means 0.166666..., and has a 1-digit recurring cycle. It can be seen that 1/7 has a 6-digit recurring cycle.\r\nCreate a function that can determine the length of the recurring cycle of 1/d given d.","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: 377.9px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 188.95px; transform-origin: 407px 188.95px; 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: 113px 8px; transform-origin: 113px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003ePreface: This problem is inspired 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: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003ca target='_blank' href = \"/#null\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eProject Euler Problem 26\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: 190px 8px; transform-origin: 190px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and uses text from that question to explain what a recurring cycle is.\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: 40.5px 8px; transform-origin: 40.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eDescription\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: 382px 8px; transform-origin: 382px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eA unit fraction contains 1 in the numerator. The decimal representation of the unit fractions with denominators 2 to 10 are given:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 183.9px; 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 91.95px; transform-origin: 404px 91.95px; 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: 48px 8.5px; tab-size: 4; transform-origin: 48px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1/2  =   0.5\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: 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: 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; \"\u003e1/3  =  0.(3)\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: 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; \"\u003e1/4  =   0.25\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: 48px 8.5px; tab-size: 4; transform-origin: 48px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1/5  =   0.2\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: 60px 8.5px; tab-size: 4; transform-origin: 60px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1/6  =   0.1(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: 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: 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; \"\u003e1/7  =   0.(142857)\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: 56px 8.5px; tab-size: 4; transform-origin: 56px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1/8  =   0.125\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: 56px 8.5px; tab-size: 4; transform-origin: 56px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1/9  =   0.(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: 48px 8.5px; tab-size: 4; transform-origin: 48px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1/10 =   0.1\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: 374.5px 8px; transform-origin: 374.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eWhere 0.1(6) means 0.166666..., and has a 1-digit recurring cycle. It can be seen that 1/7 has a 6-digit recurring cycle.\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: 264.5px 8px; transform-origin: 264.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eCreate a function that can determine the length of the recurring cycle of 1/d given d.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function L = recurring_cycle(d)\r\n    L = d;\r\nend","test_suite":"%%\r\nx = 1;\r\ny_correct = 0;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 2;\r\ny_correct = 0;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 3;\r\ny_correct = 1;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 4;\r\ny_correct = 0;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 5;\r\ny_correct = 0;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 6;\r\ny_correct = 1;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 7;\r\ny_correct = 6;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 8;\r\ny_correct = 0;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 9;\r\ny_correct = 1;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 10;\r\ny_correct = 0;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 17;\r\ny_correct = 16;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 19;\r\ny_correct = 18;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 29;\r\ny_correct = 28;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 19;\r\ny_correct = 18;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 109;\r\ny_correct = 108;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 197;\r\ny_correct = 98;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 223;\r\ny_correct = 222;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 2^randi(10);\r\ny_correct = 0;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 1977;\r\ny_correct = 658;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = 12345;\r\ny_correct = 822;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n\r\n%%\r\nx = randi(6)*3;\r\ny_correct = 1;\r\nassert(isequal(recurring_cycle(x),y_correct))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":2,"created_by":134,"edited_by":223089,"edited_at":"2023-02-02T10:48:13.000Z","deleted_by":null,"deleted_at":null,"solvers_count":161,"test_suite_updated_at":"2023-02-02T10:48:13.000Z","rescore_all_solutions":false,"group_id":44,"created_at":"2012-02-06T22:59:19.000Z","updated_at":"2026-01-05T00:27:32.000Z","published_at":"2012-02-23T17:44:12.000Z","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\u003ePreface: This problem is inspired by\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eProject Euler Problem 26\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e and uses text from that question to explain what a recurring cycle 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:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eDescription\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\u003eA unit fraction contains 1 in the numerator. The decimal representation of the unit fractions with denominators 2 to 10 are given:\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[1/2  =   0.5\\n1/3  =  0.(3)\\n1/4  =   0.25\\n1/5  =   0.2\\n1/6  =   0.1(6)\\n1/7  =   0.(142857)\\n1/8  =   0.125\\n1/9  =   0.(1)\\n1/10 =   0.1]]\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\u003eWhere 0.1(6) means 0.166666..., and has a 1-digit recurring cycle. It can be seen that 1/7 has a 6-digit recurring cycle.\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\u003eCreate a function that can determine the length of the recurring cycle of 1/d given d.\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":58951,"title":"Neural Net: Convolutional NN wK Evolve Matrices Determination for LED Digit images; Variant Images Scored","description":"This challenge is to return final WH, WP, and K matrices, given initial XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidden layer and Softmax on the output layer. Training images are LED binary matrices of digits 1:9 and 0. Sets of variants will be tested to show success beyond the training set. (Scale, Offset, Noise, zeroed node(s), intra-shifts).\r\nBack Propagation on WH and WP. Custom K evolve algorithm provided. Standard Back Propagation for K in future. \r\n\r\nTest sets 2 thru 5 show various Pixelations of numbers and the Neural Net success rate. Just fun to look at the data.\r\nAppears more training sets required and possibly more nodes to have high success. One translate not good.\r\n[WP,WH,dK]=ConvNN_Process(XImgset,K,WH,WP,EPY)\r\n \r\nThe matlab Latex code for making the CNN Processing chart included in template.","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: 781.5px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 390.75px; transform-origin: 407px 390.75px; vertical-align: baseline; \"\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: 383px 8px; transform-origin: 383px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThis challenge is to return final WH, WP, and K matrices, given initial XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidden layer and Softmax on the output layer. Training images are LED binary matrices of digits 1:9 and 0. Sets of variants will be tested to show success beyond the training set. (Scale, Offset, Noise, zeroed node(s), intra-shifts).\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: 362.5px 8px; transform-origin: 362.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eBack Propagation on WH and WP. Custom K evolve algorithm provided. Standard Back Propagation for K in future. \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\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: 363px 8px; transform-origin: 363px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eTest sets 2 thru 5 show various Pixelations of numbers and the Neural Net success rate. Just fun to look at the data.\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: 342px 8px; transform-origin: 342px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eAppears more training sets required and possibly more nodes to have high success. One translate not good.\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: 173px 8px; transform-origin: 173px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"border-block-end-style: solid; border-block-end-width: 1px; border-bottom-style: solid; border-bottom-width: 1px; perspective-origin: 2px 8.5px; transform-origin: 2px 8.5px; \"\u003e[\u003c/span\u003e\u003cspan style=\"perspective-origin: 33.5px 8px; transform-origin: 33.5px 8px; \"\u003eWP,WH,dK\u003c/span\u003e\u003cspan style=\"border-block-end-style: solid; border-block-end-width: 1px; border-bottom-style: solid; border-bottom-width: 1px; perspective-origin: 2px 8.5px; transform-origin: 2px 8.5px; \"\u003e]\u003c/span\u003e\u003cspan style=\"perspective-origin: 135.5px 8px; transform-origin: 135.5px 8px; \"\u003e=ConvNN_Process(XImgset,K,WH,WP,EPY)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 529.5px; 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 264.75px; text-align: left; transform-origin: 384px 264.75px; 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: 875px;height: 524px\" 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\" data-image-state=\"image-loaded\" width=\"875\" height=\"524\"\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: 257px 8px; transform-origin: 257px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe matlab Latex code for making the CNN Processing chart included in template.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function [WP,WH,dK]=ConvNN_Process(XImg,Kbase,WH,WP,EPY)\r\n %K=Kbase; % Required to calc dK\r\n %nX=size(XImg,3); %Number training images\r\n %nK=size(K,3); % Number kernels\r\n %XC=zeros(5,3,nK); %Pre-alloc for speed\r\n %nClasses=size(EPY,2);\r\n \r\n for epoch=1:2000 % Number of cycles to evolve WH and WP\r\n  dWH=0*WH;\r\n  dWP=0*WP;\r\n  for iCase=1:nX  %Cycle thru all Images while accumulating dWH and dWP\r\n %Forward Pass  X(7,5,nX)-Ximg,Conv-XC(5,3,nK),ReLU-XCY3(5,3,nK),XCY(1,nK*15+1)(1,91)\r\n % XCYV*WH-H(1,21), ReLU(H)-HY(1,21), HY*WP-P(1,10), Softmax(P)-PY\r\n   for k=1:nK\r\n    %XC(:,:,k)=(conv2(XImg(:,:,iCase),K(:,:,k),'valid')); %Use rot90 Kernel to make output align\r\n   end\r\n\r\n   %XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive; safer to leave in for K offset case\r\n   %XCY=[XCY3(:)' 1]; % 1,nK*15+1  (1,91)  add a 1 for offset term\r\n \r\n   %[dWPi,dWHi]=Neural_ReLU_Back_Propagation(XCY,WH,WP,EPY(iCase,:));\r\n \r\n %Accumulate across all sample cases\r\n   %dWP=dWP+dWPi;\r\n   %dWH=dWH+dWHi;\r\n \r\n  end % iCase\r\n  \r\n  dKi=evolve_Kraz(epoch,XImg,WH,WP,K,nX,nK,nClasses);\r\n  K=K+dKi;\r\n  \r\n\r\n  %WP=WP+dWP/nX; % dWP/nX  Valid\r\n  %WH=WH+dWH/nX; % Usage /nX^2 requires 10K epochs for \u003e.8 PYs\r\n\r\n end % epoch\r\n dK=Kbase-K;\r\nend %ConvNN_Process\r\n\r\nfunction [dWP,dWH]=Neural_ReLU_Back_Propagation(X,WH,WP,EPY)\r\n% X will be single case [X1 X2 ... XN 1]\r\n  LR=1; % Learning Rate\r\n  \r\n  H=X*WH;\r\n  HY=max(0,H); % ReLU\r\n  \r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 PY2 ... PYM]\r\n  \r\n  %Back Propagation Calculations\r\n  ErrPY=EPY-PY;\r\n  \r\n  dPY=PY.*(1-PY).*ErrPY;\r\n  dWP=LR*HY'.*dPY;\r\n  \r\n  dHY=HY.*(1-HY).*sum(WP.*dPY,2)';\r\n  dWH=LR*X'.*dHY;\r\nend % Neural_ReLU_Back_Propagation\r\n\r\nfunction [dK]=evolve_Kraz(epoch,XImgset,WH,WP,K,nX,nK,nClasses)\r\n%This is not standard back propagation for K.\r\n%This is a much slower raz original K evolve of 1 pixel per kernel by small delta\r\n%selected based upon full PY matrix of training\r\n%Random start does better than pre-defined features\r\n%Singular pixel required for stability. Small step size .0001\r\n%Kernel Forward sensitivity and Update based on +/- Sum prediction direction\r\n%Harder to make work than expected\r\n%Have not solved standard back propagation for defined X,WH,WP,K dimensions\r\n\r\n dK=0*K;\r\n XC=zeros(5,3,nK);\r\n if ~mod(epoch,10)==0,return;end % Option to reduce K update rate due to Slowness\r\n PYmask=-ones(nX,nClasses)+10*eye(nClasses); % One sample per class, Know it is 10\r\n        %Wt factor of 9 for truth diag and -1 for all non-truth answers;\r\n mXCY=zeros(nX,91);\r\n%Create Baseline mPY (nX,10)\r\n for iCase=1:nX  %Cycle thru all Images create mXCY\r\n  for k=1:nK\r\n   XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n  end\r\n  XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n  mXCY(iCase,:)=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n end\r\n mPY=Neural_ReLU_Forward(mXCY,WH,WP);\r\n\r\n for pK=1:nK %For each Kernel tweak one pixel +.1 then -.1 to see PY response ALL Images\r\n  for rK=1:3\r\n   for cK=1:3\r\n    eK=K;\r\n   \r\n    eK(rK,cK,pK)=K(rK,cK,pK)+.1;\r\n    for iCase=1:nX  %Cycle thru all Images create mXCY\r\n     for k=1:nK\r\n      XC(:,:,k)=(conv2(XImgset(:,:,iCase),eK(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n     end\r\n     XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n     mXCY(iCase,:)=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n    end\r\n    \r\n    mPYK=Neural_ReLU_Forward(mXCY,WH,WP); %Performance All Training for single Pixel Tweaked\r\n    mPYD=mPYK-mPY;\r\n    dsump=sum(sum(PYmask.*mPYD)); %Improvement\r\n    if dsump\u003c0, dsump=0;end\r\n    dK(rK,cK,pK)=dsump; \r\n   \r\n    eK(rK,cK,pK)=K(rK,cK,pK)-.2; % Net -.1\r\n    for iCase=1:nX  %Cycle thru all Images create mXCY\r\n     for k=1:nK\r\n      XC(:,:,k)=(conv2(XImgset(:,:,iCase),eK(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n     end\r\n     XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n     mXCY(iCase,:)=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n    end\r\n    \r\n    [mPYK]=Neural_ReLU_Forward(mXCY,WH,WP); %Performance All Training for single Pixel Tweaked\r\n    mPYD=mPYK-mPY;\r\n    dsumn=sum(sum(PYmask.*mPYD)); %Improvement\r\n    if dsumn\u003c0, dsumn=0;end\r\n    if dsumn\u003edsump\r\n     dK(rK,cK,pK)=-dsumn;\r\n    end\r\n  end % cK\r\n end%rK\r\nend % pK\r\n\r\n%Adjust only one pixel per kernel\r\n for k=1:nK\r\n  mK=dK(:,:,k);\r\n  [kr,kc]=find(abs(mK)==max(abs(mK(:))),1,'first');\r\n  dK(:,:,k)=0;\r\n  dK(kr,kc,k)=.001*sign(mK(kr,kc));\r\n end\r\n\r\nend %Evolve_K\r\n\r\nfunction [PY]=Neural_ReLU_Forward(X,WH,WP)\r\n%raz ReLU/Softmax\r\n  n=1;\r\n  \r\n  H=X*WH;\r\n%   HY=1./(1+exp(-H)); %[HY1 HY2 1]  .6803 .6637 1 Sigmoid\r\n%   HY(:,end)=1; %Sigmoid\r\n  HY=max(0,H);\r\n  \r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 PY2]\r\n  \r\nend % Neural_ReLU_Forward\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n","test_suite":"%%\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 1:9 0\r\n ['010111111101111100111111111111';\r\n  '010001001101100100001101101101';\r\n  '010111111111111111001111111101';\r\n  '010100001001001101001101001101';\r\n  '010111111001111111001111001111'];\r\nImgsetv=Imgsetstr-'0';\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\nnClasses=10;\r\nEPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nKsetstr= ... %3x3 kernel mask (will be scaled/offset)\r\n ['000000010010010000'; %Centered corners and vert/horiz\r\n  '011110011110010111'; %Kernels are identifying Features\r\n  '010010000000010000'];\r\n\r\nKsetv=Ksetstr-'0';\r\nKh=size(Ksetv,1);\r\nnK=size(Ksetv,2)/Kh; %Number of Kernels\r\n%Kset=reshape(Ksetv,Kh,Kh,nK);\r\n%Kset=rand(Kh,Kh,nK); % Using Random Start\r\n%Kernel needs normalization either scale or offset; Two large scale slows convergence or possible fail\r\n%Ksetr90=rot90(Kset(:,:,:),2)/3; % Rotate and normalize 3, each kernel sum is 3 Valid  2-Fails\r\n%Ksetr90=(rot90(Kset(:,:,:),2)-.5)/5; % Rotate and offset -0.5  Valid \r\n%Kbase=Ksetr90;\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\n%Stability sensitive to WP and WH values; rand start needs offset and normalization\r\n% X(7,5,nX) XC(5,3,nK) (XCY(1,91) WH(91,21) WP(21,10)\r\nztic=tic;\r\nfor ztry=1:5 %Allow three processing attempts to get a working solution\r\n Kset=rand(Kh,Kh,nK); % Using Random Starts\r\n Ksetr90=(rot90(Kset(:,:,:),2)-.5)/5; % Rotate and offset -0.5  and scaled\r\n Kbase=Ksetr90;\r\n WH=[(rand(90,20)-.5)/sqrt(90+20) zeros(90,1)]; % 90=nK*15, 20 is arbitrary at 2*nCases WH(91,21)  Valid\r\n WH=[WH; zeros(1,20) 1]; % offset row, Start with zero bias\r\n\r\nWP=(rand(21,10)-.5)/sqrt(21+10);  % 10 output states  Valid\r\n\r\n[WP,WH,dK]=ConvNN_Process(XImgset,Kbase,WH,WP,EPY);\r\nK=Kbase-dK;\r\nfprintf('Process Time: %.3f sec\\n\\n',toc(ztic));\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  [~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('Ideal Input Training Cases\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  %fprintf('\\n\\n');\r\n  if ~isequal(pcase,pexp),continue;end %Bad random draw, retry\r\n  \r\n  %Scaled-50%\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  XN=XImgset/2; %Scale to 7x5 Image planes\r\n  XNS=XN; %figure variable\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XN(:,:,iCase),K(:,:,k),'valid'));\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,Xpcase]=max(PY,[],2);\r\n  [~,Xpexp]=max(EPY,[],2);\r\n  \r\n  fprintf('50%s Scale - NN Strong Scale Invariance, Worst is 8\\n',char(37));\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',Xpexp(i),Xpcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(Xpcase==Xpexp)/nX,'%');\r\n  \r\n  %Scaled-50% and Noise 60% added\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  XN=XImgset/2+.3*(rand(size(XImgset))-.5); %Scale and add Noise to 7x5 Image planes\r\n  XNSn=XN; %figure variable\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XN(:,:,iCase),K(:,:,k),'valid'));\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,Xpcase]=max(PY,[],2);\r\n  [~,Xpexp]=max(EPY,[],2);\r\n  \r\n  fprintf('50%s Scale and 60%s Noise added - Imperfect Results Expected\\n',char(37),'%');\r\n  %Note: double % is a special Cody sequence so using %s to write % character\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',Xpexp(i),Xpcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(Xpcase==Xpexp)/nX,'%');\r\n  \r\n\r\n  %Offset+50%\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  XN=XImgset-.5; %Offset to 7x5 Image planes\r\n  XNo=XN;\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XN(:,:,iCase),K(:,:,k),'valid'));\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,Xpcase]=max(PY,[],2);\r\n  [~,Xpexp]=max(EPY,[],2);\r\n  \r\n  fprintf('50%s Offset - NN Somewhat Strong Offset Invariance - Weak 1,3,8,9\\n',char(37));\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',Xpexp(i),Xpcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(Xpcase==Xpexp)/nX,'%');\r\n  \r\n  %Offset-50% Noise-60%\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  XN=XImgset-.5+.6*(rand(size(XImgset))-.5); %Offset to 7x5 Image planes\r\n  XNon=XN;\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XN(:,:,iCase),K(:,:,k),'valid'));\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,Xpcase]=max(PY,[],2);\r\n  [~,Xpexp]=max(EPY,[],2);\r\n  \r\n  fprintf('50%s Offset 60%s Noise - NN Mildly Strong Offset/Noise Invariance - Weak 1,3,8,9\\n',char(37),'%');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',Xpexp(i),Xpcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n\\n',100*nnz(Xpcase==Xpexp)/nX,'%');\r\n  \r\n\r\n  figure(1); imagesc([reshape(XImgset,7,[]);reshape(XNS,7,[]);reshape(XNSn,7,50); ...\r\n                      reshape(XNo,7,[]);reshape(XNon,7,50)]);\r\n  %xticks([]);yticks([]);axis equal;axis tight\r\n  \r\n  %figure(1); imagesc([reshape(XImgset,7,[]);reshape(XNS,7,[]);reshape(XNSn,7,50);reshape(XNo,7,[])]);\r\n  xticks([]);yticks([]);axis equal;axis tight\r\n  \r\n  figure(2); imagesc([reshape(Kbase,3,[]);zeros(1,18);reshape(K,3,[]);zeros(1,18); ...\r\n                      reshape(-dK,3,[])]);\r\n  xticks([]);yticks([]);axis equal;axis tight\r\n  \r\n  if isequal(pcase,pexp),break;end\r\n  \r\nend % ztry  Allowed 5 trials as rand may not always converge\r\n  \r\nvalid=isequal(pcase,pexp);\r\nassert(valid)\r\n\r\n%%\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 1 variants,3 variants\r\n ['100001010010000011110011111011';\r\n  '100001010110010011110001001001';\r\n  '100001010010010011010111011011';\r\n  '100001010010010011010001001001';\r\n  '100001111010010011010111111011'];\r\nImgsetv=Imgsetstr-'0';\r\npexp=[1 1 1 1 1 1 1 3 3 3]';\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\n%nClasses=10;\r\n%EPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nnK=size(K,3); %Number of Kernels\r\n\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\nfigure; imagesc(reshape(XImgset,7,[]));\r\nxticks([]);yticks([]);axis equal;axis tight\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  %[~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('Morphed 1s and 3s; Need more training\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  fprintf('\\n\\n');\r\n\r\nassert(1)\r\n\r\n\r\n%%\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 2 variants,4 variants\r\n ['011011100111110001000101101001';\r\n  '001001010001001101101111101011';\r\n  '111111001010010111111001101111';\r\n  '100100010100100001001001111001';\r\n  '111110001111011001001001001001'];\r\nImgsetv=Imgsetstr-'0';\r\npexp=[2 2 2 2 2 4 4 4 4 4]';\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\n%nClasses=10;\r\n%EPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nnK=size(K,3); %Number of Kernels\r\n\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\nfigure; imagesc(reshape(XImgset,7,[]));\r\nxticks([]);yticks([]);axis equal;axis tight\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  %[~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('Morphed 1s and 3s; Need more training\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  fprintf('\\n\\n');\r\n\r\nassert(1)\r\n\r\n\r\n%%\r\n\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 5,6,7,8 variants\r\n ['110110010111110100011111010010';\r\n  '100100100100100100001001101100';\r\n  '111111111111111110001001010010';\r\n  '001001001101101101001010101001';\r\n  '111011010111111110001100010010'];\r\nImgsetv=Imgsetstr-'0';\r\npexp=[5 5 5 6 6 6 7 7  8 5 ]';\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\n%nClasses=10;\r\n%EPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nnK=size(K,3); %Number of Kernels\r\n\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\nfigure; imagesc(reshape(XImgset,7,[]));\r\nxticks([]);yticks([]);axis equal;axis tight\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  %[~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('Morphed 1s and 3s; Need more training\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  fprintf('\\n\\n');\r\n\r\nassert(1)\r\n\r\n\r\n%%\r\nglobal WH WP K\r\nImgsetstr= ... %5x3 digits 7,9,0 variants\r\n ['110111111011111010010111101101';\r\n  '010101101101111101000001101100';\r\n  '010111111111111101010011111111';\r\n  '010001001001111101000001101001';\r\n  '010011111001111010010001111001'];\r\nImgsetv=Imgsetstr-'0';\r\npexp=[1 9 9 9 10 10 1 7  8 4 ]'; %Shape/Missing LEDs\r\n\r\nnX=size(Imgsetv,2)/3;\r\nXImgset=zeros(7,5,nX); % Images Zero Ring for conv2(I,K,'valid') where K is 3x3\r\n\r\n%nClasses=10;\r\n%EPY=eye(nClasses); % One case for each digit from 1 to 9 and then 0 which is class type 10\r\n%One input for each Class\r\n\r\nnK=size(K,3); %Number of Kernels\r\n\r\nIh=size(Imgsetv,1);\r\nImgset53=reshape(Imgsetv,Ih,3,size(Imgsetv,2)/3);\r\nfor k=1:size(Imgset53,3)\r\n XImgset(2:end-1,2:end-1,k)=Imgset53(:,:,k);\r\nend\r\n\r\nfigure; imagesc(reshape(XImgset,7,[]));\r\nxticks([]);yticks([]);axis equal;axis tight\r\n\r\n  X=zeros(nX,91); %Forward process all images in one sequence\r\n  for iCase=1:nX\r\n   for k=1:nK\r\n    XC(:,:,k)=(conv2(XImgset(:,:,iCase),K(:,:,k),'valid')); %Need to rot90 Kernel to make output align\r\n   end\r\n   XCY3=max(0,XC); %ReLU  Not needed with all K coeff positive\r\n   XCY=[XCY3(:)' 1]; % 1,nK*15  1,91  add a 1 for offset term\r\n   X(iCase,:)=XCY; \r\n  end\r\n\r\n  H=X*WH; % Process all 10 cases\r\n  HY=max(0,H);\r\n  P=HY*WP ; %\r\n  PY=exp(P)./sum(exp(P),2); %Softmax [PY1 ... PY10]\r\n  [~,pcase]=max(PY,[],2);\r\n  %[~,pexp]=max(EPY,[],2);\r\n  \r\n  fprintf('More training needed\\n');\r\n  for i=1:nX\r\n   fprintf('Exp:%2i Pred:%2i   ',pexp(i),pcase(i));\r\n   fprintf('.%04i  ',round(10000*PY(i,:)));fprintf('\\n');\r\n  end\r\n  fprintf('Accuracy %.0f%s\\n',100*nnz(pcase==pexp)/nX,'%');\r\n  fprintf('\\n\\n');\r\n\r\nassert(1)\r\n\r\n\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":3097,"edited_by":3097,"edited_at":"2023-09-03T16:21:37.000Z","deleted_by":null,"deleted_at":null,"solvers_count":3,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2023-09-03T03:05:26.000Z","updated_at":"2023-09-03T16:21:37.000Z","published_at":"2023-09-03T16:21:37.000Z","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\u003eThis challenge is to return final WH, WP, and K matrices, given initial XImgset, WH, WP, K, EPY using convolution(Ximg,K), ReLU on the hidden layer and Softmax on the output layer. Training images are LED binary matrices of digits 1:9 and 0. Sets of variants will be tested to show success beyond the training set. (Scale, Offset, Noise, zeroed node(s), intra-shifts).\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\u003eBack Propagation on WH and WP. Custom K evolve algorithm provided. Standard Back Propagation for K in future. \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\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\u003eTest sets 2 thru 5 show various Pixelations of numbers and the Neural Net success rate. Just fun to look at the data.\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\u003eAppears more training sets required and possibly more nodes to have high success. One translate not good.\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[WP,WH,dK]=ConvNN_Process(XImgset,K,WH,WP,EPY)\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=\\\"524\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"875\\\"/\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\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 matlab Latex code for making the CNN Processing chart included in 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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":57740,"title":"Easy Sequences 99: One-line Code Challenge - Real Digitizer","description":"Given a real number r, write the function rDigitizer that breaks r into constituent digits and symbols. \r\nFor example:\r\n  \u003e\u003e    rDigitizer(1234.56)\r\n  \u003e\u003e    ans =\r\n            [1 2 3 4 '.' 5 6]\r\n  \u003e\u003e\r\n  \u003e\u003e    rDigitizer(-round(pi,4))\r\n  \u003e\u003e    ans =\r\n            ['-' 3 '.' 1 4 1 6]\r\n  \u003e\u003e\r\n  \u003e\u003e    rDigitizer(floor(exp(1)))\r\n  \u003e\u003e    ans =\r\n            2\r\n-------------\r\nNOTE: The following restrictions apply:\r\nThe function should only have one (1) line of code, excluding the function start line.\r\nSemicolons (;) are considered end-of-line characters.\r\nPlease suppress the function end line. Keyword 'end' is not allowed.\r\nImporting libraries is not allowed.\r\nRegular expressions, base conversion and string manipulation are not allowed.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.440001px; 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: 452px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 226px; transform-origin: 407px 226px; vertical-align: baseline; \"\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 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eGiven a real 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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; font-weight: 700; \"\u003er\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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e, write the function \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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; font-weight: 700; \"\u003erDigitizer\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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e that breaks \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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; font-weight: 700; \"\u003er\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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e into constituent digits and symbols.\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: 0px 0px; transform-origin: 0px 0px; \"\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 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eFor example:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 220px; 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 110px; transform-origin: 404px 110px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  \u0026gt;\u0026gt;    rDigitizer(1234.56)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  \u0026gt;\u0026gt;    ans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e            [1 2 3 4 \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); text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); \"\u003e'.' \u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e5 6]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  \u0026gt;\u0026gt;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  \u0026gt;\u0026gt;    rDigitizer(-round(pi,4))\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  \u0026gt;\u0026gt;    ans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\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); text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); \"\u003e'-' \u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e3 \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); text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); \"\u003e'.' \u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e1 4 1 6]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  \u0026gt;\u0026gt;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  \u0026gt;\u0026gt;    rDigitizer(floor(exp(1)))\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e  \u0026gt;\u0026gt;    ans =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20px; 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 10px; transform-origin: 404px 10px; 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 0px; tab-size: 4; transform-origin: 0px 0px; 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: 0px 0px; transform-origin: 0px 0px; \"\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 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eNOTE: \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: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eThe following restrictions apply:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 100px; 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 50px; transform-origin: 391px 50px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; block-size: 20px; 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 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eThe function should only have one (1) line of code, excluding the function start line.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; block-size: 20px; 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 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eSemicolons (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003e;\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e) are considered end-of-line characters.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; block-size: 20px; 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 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003ePlease suppress the function end line. Keyword '\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; font-weight: 700; \"\u003eend'\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e is not allowed.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; block-size: 20px; 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 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eImporting libraries is not allowed.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position-x: 0px; background-position-y: 50%; block-size: 20px; 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 10px; text-align: left; transform-origin: 363px 10px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"background-position-x: 0%; background-position-y: 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eRegular expressions, base conversion and string manipulation are not allowed.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function d = rDigitizer(r)\r\n    d = num2str(r) - '0';\r\nend","test_suite":"%%\r\nr = -75.75;\r\nd_correct = ['-' 7 5 '.' 7 5];\r\nassert(isequal(rDigitizer(r),d_correct))\r\n%%\r\nr = 1111.1111;\r\nd_correct = [1 1 1 1 '.' 1 1 1 1];\r\nassert(isequal(rDigitizer(r),d_correct))\r\n%%\r\nr = round(sqrt(7)^7,7);\r\nd_correct = [9 0 7 '.' 4 9 2 6 9 9 7];\r\nassert(isequal(rDigitizer(r),d_correct))\r\n%%\r\nr = [1234.56 -round(pi,4) floor(exp(1))];\r\nd_correct = {[1 2 3 4 '.' 5 6] ['-' 3 '.' 1 4 1 6] 2};\r\nassert(isequal(rDigitizer(r),d_correct))\r\n%%\r\nr = arrayfun(@(i) round(pi,i),0:10);\r\nd_correct = {3 [3 '.' 1] [3 '.' 1 4] [3 '.' 1 4 2] [3 '.' 1 4 1 6] [3 '.' 1 4 1 5 9] ...\r\n            [3 '.' 1 4 1 5 9 3] [3 '.' 1 4 1 5 9 2 7] [3 '.' 1 4 1 5 9 2 6 5] ...\r\n            [3 '.' 1 4 1 5 9 2 6 5 4] [3 '.' 1 4 1 5 9 2 6 5 3 6]}           \r\nassert(isequal(rDigitizer(r),d_correct))\r\n%%\r\nr = round(-exp(2),10);\r\nd_correct = ['-' 7 '.' 3 8 9 0 5 6 0 9 8 9];\r\nassert(isequal(rDigitizer(r),d_correct))\r\n%%\r\nr = round(rand(1,1000,'double').*1000.*(-1).^randi(2,1,1000),6);\r\nd = rDigitizer(r); \r\ni = randi(1000); \r\ndi = d{i}; di(di=='.' | di=='-') = di(di=='.' | di=='-') - '0';\r\ndi_correct = num2str(r(i),10) - '0';\r\nassert(isequal(di,di_correct))\r\n%%\r\nfiletext = fileread('rDigitizer.m');\r\nnot_allowed = contains(filetext, 'import') || contains(filetext, 'str2') || contains(filetext, 'num2') || contains(filetext, 'dec2') || contains(filetext, 'base2') || contains(filetext, 'sprintf') || contains(filetext, 'regex') || contains(filetext, 'eval') || contains(filetext, 'assignin') || contains(filetext, 'end');\r\nassert(~not_allowed)\r\nc = 0;\r\nfor s = deblank(strtrim(splitlines(filetext)))'\r\n    if ~isempty(s{1}) \u0026\u0026 ~isequal(s{1}(1),'%')\r\n        c = c + numel(find(s{1}==';'));\r\n        if  ~isequal(s{1}(end),';')\r\n            c = c + 1;\r\n        end\r\n    end\r\nend\r\nassert(c\u003c=2)","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":255988,"edited_by":255988,"edited_at":"2023-03-05T16:54:24.000Z","deleted_by":null,"deleted_at":null,"solvers_count":1,"test_suite_updated_at":"2023-03-02T12:17:20.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2023-02-28T04:08:13.000Z","updated_at":"2025-09-09T11:32:29.000Z","published_at":"2023-03-01T05:35:08.000Z","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:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eGiven a real number \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003er\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e, write the function \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003erDigitizer\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e that breaks \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003er\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e into constituent digits and symbols.\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\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[  \u003e\u003e    rDigitizer(1234.56)\\n  \u003e\u003e    ans =\\n            [1 2 3 4 '.' 5 6]\\n  \u003e\u003e\\n  \u003e\u003e    rDigitizer(-round(pi,4))\\n  \u003e\u003e    ans =\\n            ['-' 3 '.' 1 4 1 6]\\n  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