{"group":{"id":1,"name":"Community","lockable":false,"created_at":"2012-01-18T18:02:15.000Z","updated_at":"2026-04-16T00:12:35.000Z","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":"2026-04-16T00:00:00.000Z","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":2237,"title":"Mmm! Multi-dimensional Matrix Multiplication ","description":"You have got a couple of multi-dimensional matrices, A and B. And want to multiply them. For the first 2 dimensions, an ordinary matrix multiplication applies. And in the other dimensions? Well, they just act as parallel worlds. All 2D matrices are multiplied, for every element in the other dimensions.\r\nYou may assume that the size in the 1st two dimensions allows simple matrix multiplication: A(:,:,1)*B(:,:,1), so size(A(:,:,1),2) == size(B(:,:,1),1), or either A(:,:,1) is a scalar or B(:,:,1) is a scalar.\r\nIn the other dimensions, the sizes of A and B should be eqaal, size(A,n) == size(B,n), for n\u003e2, or either ndims(A)\u003cn or ndims(B)\u003cn, or either size(A,n)==1 or size(B,n)==1, so one of them is a scalar.\r\n\r\nWrite a function |mtimesm| that does this, and ask Mathworks to include it in the |elmat| toolbox of the Next Release.","description_html":"\u003cp\u003eYou have got a couple of multi-dimensional matrices, A and B. And want to multiply them. For the first 2 dimensions, an ordinary matrix multiplication applies. And in the other dimensions? Well, they just act as parallel worlds. All 2D matrices are multiplied, for every element in the other dimensions.\r\nYou may assume that the size in the 1st two dimensions allows simple matrix multiplication: A(:,:,1)*B(:,:,1), so size(A(:,:,1),2) == size(B(:,:,1),1), or either A(:,:,1) is a scalar or B(:,:,1) is a scalar.\r\nIn the other dimensions, the sizes of A and B should be eqaal, size(A,n) == size(B,n), for n\u0026gt;2, or either ndims(A)\u0026lt;n or ndims(B)\u0026lt;n, or either size(A,n)==1 or size(B,n)==1, so one of them is a scalar.\u003c/p\u003e\u003cp\u003eWrite a function \u003ctt\u003emtimesm\u003c/tt\u003e that does this, and ask Mathworks to include it in the \u003ctt\u003eelmat\u003c/tt\u003e toolbox of the Next Release.\u003c/p\u003e","function_template":"function C = mtimesm(A,B)\r\n  C = A*B;\r\nend","test_suite":"%% case 1\r\nA = 1;\r\nB = 2;\r\nC = mtimesm(A,B);\r\nC_correct = 2;\r\nassert(isequal(C,C_correct))\r\n\r\n%% case 2\r\nA = rand(2,3);\r\nB = rand(3,4);\r\nC = mtimesm(A,B);\r\nC_correct = A*B;\r\nassert(isequal(C,C_correct))\r\n\r\n%% case 3\r\nA = rand(2,3);\r\nB = 2;\r\nC = mtimesm(A,B);\r\nC_correct = 2*A;\r\nassert(isequal(C,C_correct))\r\n\r\n%% case 4\r\nA = rand(2,3,2);\r\nB = rand(3,4,2);\r\nC = mtimesm(A,B);\r\nC_correct = cat(3,A(:,:,1)*B(:,:,1),A(:,:,2)*B(:,:,2));\r\nassert(isequal(C,C_correct))\r\n\r\n%% case 5\r\nA = rand(2,3,3);\r\nB = rand(3,4);\r\nC = mtimesm(A,B);\r\nC_correct = cat(3,A(:,:,1)*B,A(:,:,2)*B,A(:,:,3)*B); \r\nassert(isequal(C,C_correct))\r\n\r\n%% case 6\r\nA = rand(4,3,1,2);\r\nB = rand(3,2,2);\r\nC = mtimesm(A,B);\r\nC_correct(:,:,1,1) = A(:,:,1,1)*B(:,:,1);\r\nC_correct(:,:,1,2) = A(:,:,1,2)*B(:,:,1);\r\nC_correct(:,:,2,1) = A(:,:,1,1)*B(:,:,2);\r\nC_correct(:,:,2,2) = A(:,:,1,2)*B(:,:,2);\r\nassert(isequal(C,C_correct))\r\n\r\n%% case 7\r\nA = rand(4,3,1,2);\r\nB = rand(3,2,1,1,2);\r\nC = mtimesm(A,B);\r\nC_correct(:,:,1,1,1) = A(:,:,1,1)*B(:,:,1,1,1);\r\nC_correct(:,:,1,1,2) = A(:,:,1,1)*B(:,:,1,1,2);\r\nC_correct(:,:,1,2,1) = A(:,:,1,2)*B(:,:,1,1,1);\r\nC_correct(:,:,1,2,2) = A(:,:,1,2)*B(:,:,1,1,2);\r\nassert(isequal(C,C_correct))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":5,"created_by":6556,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":38,"test_suite_updated_at":"2014-03-07T06:22:58.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2014-03-06T11:17:42.000Z","updated_at":"2026-04-03T03:22:22.000Z","published_at":"2014-03-06T11:17:42.000Z","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\u003eYou have got a couple of multi-dimensional matrices, A and B. And want to multiply them. For the first 2 dimensions, an ordinary matrix multiplication applies. And in the other dimensions? Well, they just act as parallel worlds. All 2D matrices are multiplied, for every element in the other dimensions. You may assume that the size in the 1st two dimensions allows simple matrix multiplication: A(:,:,1)*B(:,:,1), so size(A(:,:,1),2) == size(B(:,:,1),1), or either A(:,:,1) is a scalar or B(:,:,1) is a scalar. In the other dimensions, the sizes of A and B should be eqaal, size(A,n) == size(B,n), for n\u0026gt;2, or either ndims(A)\u0026lt;n or ndims(B)\u0026lt;n, or either size(A,n)==1 or size(B,n)==1, so one of them is a scalar.\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\u003eWrite a function\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:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003emtimesm\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e that does this, and ask Mathworks to include it in the\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:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eelmat\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e toolbox of the Next Release.\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\"}]}"}],"problem_search":{"errors":[],"problems":[{"id":2237,"title":"Mmm! Multi-dimensional Matrix Multiplication ","description":"You have got a couple of multi-dimensional matrices, A and B. And want to multiply them. For the first 2 dimensions, an ordinary matrix multiplication applies. And in the other dimensions? Well, they just act as parallel worlds. All 2D matrices are multiplied, for every element in the other dimensions.\r\nYou may assume that the size in the 1st two dimensions allows simple matrix multiplication: A(:,:,1)*B(:,:,1), so size(A(:,:,1),2) == size(B(:,:,1),1), or either A(:,:,1) is a scalar or B(:,:,1) is a scalar.\r\nIn the other dimensions, the sizes of A and B should be eqaal, size(A,n) == size(B,n), for n\u003e2, or either ndims(A)\u003cn or ndims(B)\u003cn, or either size(A,n)==1 or size(B,n)==1, so one of them is a scalar.\r\n\r\nWrite a function |mtimesm| that does this, and ask Mathworks to include it in the |elmat| toolbox of the Next Release.","description_html":"\u003cp\u003eYou have got a couple of multi-dimensional matrices, A and B. And want to multiply them. For the first 2 dimensions, an ordinary matrix multiplication applies. And in the other dimensions? Well, they just act as parallel worlds. All 2D matrices are multiplied, for every element in the other dimensions.\r\nYou may assume that the size in the 1st two dimensions allows simple matrix multiplication: A(:,:,1)*B(:,:,1), so size(A(:,:,1),2) == size(B(:,:,1),1), or either A(:,:,1) is a scalar or B(:,:,1) is a scalar.\r\nIn the other dimensions, the sizes of A and B should be eqaal, size(A,n) == size(B,n), for n\u0026gt;2, or either ndims(A)\u0026lt;n or ndims(B)\u0026lt;n, or either size(A,n)==1 or size(B,n)==1, so one of them is a scalar.\u003c/p\u003e\u003cp\u003eWrite a function \u003ctt\u003emtimesm\u003c/tt\u003e that does this, and ask Mathworks to include it in the \u003ctt\u003eelmat\u003c/tt\u003e toolbox of the Next Release.\u003c/p\u003e","function_template":"function C = mtimesm(A,B)\r\n  C = A*B;\r\nend","test_suite":"%% case 1\r\nA = 1;\r\nB = 2;\r\nC = mtimesm(A,B);\r\nC_correct = 2;\r\nassert(isequal(C,C_correct))\r\n\r\n%% case 2\r\nA = rand(2,3);\r\nB = rand(3,4);\r\nC = mtimesm(A,B);\r\nC_correct = A*B;\r\nassert(isequal(C,C_correct))\r\n\r\n%% case 3\r\nA = rand(2,3);\r\nB = 2;\r\nC = mtimesm(A,B);\r\nC_correct = 2*A;\r\nassert(isequal(C,C_correct))\r\n\r\n%% case 4\r\nA = rand(2,3,2);\r\nB = rand(3,4,2);\r\nC = mtimesm(A,B);\r\nC_correct = cat(3,A(:,:,1)*B(:,:,1),A(:,:,2)*B(:,:,2));\r\nassert(isequal(C,C_correct))\r\n\r\n%% case 5\r\nA = rand(2,3,3);\r\nB = rand(3,4);\r\nC = mtimesm(A,B);\r\nC_correct = cat(3,A(:,:,1)*B,A(:,:,2)*B,A(:,:,3)*B); \r\nassert(isequal(C,C_correct))\r\n\r\n%% case 6\r\nA = rand(4,3,1,2);\r\nB = rand(3,2,2);\r\nC = mtimesm(A,B);\r\nC_correct(:,:,1,1) = A(:,:,1,1)*B(:,:,1);\r\nC_correct(:,:,1,2) = A(:,:,1,2)*B(:,:,1);\r\nC_correct(:,:,2,1) = A(:,:,1,1)*B(:,:,2);\r\nC_correct(:,:,2,2) = A(:,:,1,2)*B(:,:,2);\r\nassert(isequal(C,C_correct))\r\n\r\n%% case 7\r\nA = rand(4,3,1,2);\r\nB = rand(3,2,1,1,2);\r\nC = mtimesm(A,B);\r\nC_correct(:,:,1,1,1) = A(:,:,1,1)*B(:,:,1,1,1);\r\nC_correct(:,:,1,1,2) = A(:,:,1,1)*B(:,:,1,1,2);\r\nC_correct(:,:,1,2,1) = A(:,:,1,2)*B(:,:,1,1,1);\r\nC_correct(:,:,1,2,2) = A(:,:,1,2)*B(:,:,1,1,2);\r\nassert(isequal(C,C_correct))\r\n","published":true,"deleted":false,"likes_count":3,"comments_count":5,"created_by":6556,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":38,"test_suite_updated_at":"2014-03-07T06:22:58.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2014-03-06T11:17:42.000Z","updated_at":"2026-04-03T03:22:22.000Z","published_at":"2014-03-06T11:17:42.000Z","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\u003eYou have got a couple of multi-dimensional matrices, A and B. And want to multiply them. For the first 2 dimensions, an ordinary matrix multiplication applies. And in the other dimensions? Well, they just act as parallel worlds. All 2D matrices are multiplied, for every element in the other dimensions. You may assume that the size in the 1st two dimensions allows simple matrix multiplication: A(:,:,1)*B(:,:,1), so size(A(:,:,1),2) == size(B(:,:,1),1), or either A(:,:,1) is a scalar or B(:,:,1) is a scalar. In the other dimensions, the sizes of A and B should be eqaal, size(A,n) == size(B,n), for n\u0026gt;2, or either ndims(A)\u0026lt;n or ndims(B)\u0026lt;n, or either size(A,n)==1 or size(B,n)==1, so one of them is a scalar.\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\u003eWrite a function\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:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003emtimesm\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e that does this, and ask Mathworks to include it in the\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:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eelmat\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e toolbox of the Next Release.\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\"}]}"}],"term":"tag:\"elmat\"","current_player_id":null,"fields":[{"name":"page","type":"integer","callback":null,"default":1,"directive":null,"facet":null,"facet_method":"and","operator":null,"param":null,"static":null,"prepend":true},{"name":"per_page","type":"integer","callback":null,"default":50,"directive":null,"facet":null,"facet_method":"and","operator":null,"param":null,"static":null,"prepend":true},{"name":"sort","type":"string","callback":null,"default":null,"directive":null,"facet":null,"facet_method":"and","operator":null,"param":null,"static":null,"prepend":true},{"name":"body","type":"text","callback":null,"default":"*:*","directive":null,"facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":false},{"name":"group","type":"string","callback":null,"default":null,"directive":"group","facet":true,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"difficulty_rating_bin","type":"string","callback":null,"default":null,"directive":"difficulty_rating_bin","facet":true,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"id","type":"integer","callback":null,"default":null,"directive":"id","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"tag","type":"string","callback":null,"default":null,"directive":"tag","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"product","type":"string","callback":null,"default":null,"directive":"product","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"created_at","type":"timeframe","callback":{},"default":null,"directive":"created_at","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"profile_id","type":"integer","callback":null,"default":null,"directive":"author_id","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"created_by","type":"string","callback":null,"default":null,"directive":"author","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"player_id","type":"integer","callback":null,"default":null,"directive":"solver_id","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"player","type":"string","callback":null,"default":null,"directive":"solver","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"solvers_count","type":"integer","callback":null,"default":null,"directive":"solvers_count","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"comments_count","type":"integer","callback":null,"default":null,"directive":"comments_count","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"likes_count","type":"integer","callback":null,"default":null,"directive":"likes_count","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"leader_id","type":"integer","callback":null,"default":null,"directive":"leader_id","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"leading_solution","type":"integer","callback":null,"default":null,"directive":"leading_solution","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true}],"filters":[{"name":"asset_type","type":"string","callback":null,"default":null,"directive":null,"facet":null,"facet_method":"and","operator":null,"param":null,"static":"\"cody:problem\"","prepend":true},{"name":"profile_id","type":"integer","callback":{},"default":null,"directive":null,"facet":null,"facet_method":"and","operator":null,"param":"author_id","static":null,"prepend":true}],"query":{"params":{"per_page":50,"term":"tag:\"elmat\"","current_player":null,"sort":"map(difficulty_value,0,0,999) asc"},"parser":"MathWorks::Search::Solr::QueryParser","directives":{"term":{"directives":{"tag":[["tag:\"elmat\"","","\"","elmat","\""]]}}},"facets":{"#\u003cMathWorks::Search::Field:0x00007faf50ac76d0\u003e":null,"#\u003cMathWorks::Search::Field:0x00007faf50ac7630\u003e":null},"filters":{"#\u003cMathWorks::Search::Field:0x00007faf50ac6d70\u003e":"\"cody:problem\""},"fields":{"#\u003cMathWorks::Search::Field:0x00007faf50ac7950\u003e":1,"#\u003cMathWorks::Search::Field:0x00007faf50ac78b0\u003e":50,"#\u003cMathWorks::Search::Field:0x00007faf50ac7810\u003e":"map(difficulty_value,0,0,999) asc","#\u003cMathWorks::Search::Field:0x00007faf50ac7770\u003e":"tag:\"elmat\""},"user_query":{"#\u003cMathWorks::Search::Field:0x00007faf50ac7770\u003e":"tag:\"elmat\""},"queried_facets":{}},"query_backend":{"connection":{"configuration":{"index_url":"http://index-op-v2/solr/","query_url":"http://search-op-v2/solr/","direct_access_index_urls":["http://index-op-v2/solr/"],"direct_access_query_urls":["http://search-op-v2/solr/"],"timeout":10,"vhost":"search","exchange":"search.topic","heartbeat":30,"pre_index_mode":false,"host":"rabbitmq-eks","port":5672,"username":"cody-search","password":"78X075ddcV44","virtual_host":"search","indexer":"amqp","http_logging":"true","core":"cody"},"query_connection":{"uri":"http://search-op-v2/solr/cody/","proxy":null,"connection":{"parallel_manager":null,"headers":{"User-Agent":"Faraday v1.0.1"},"params":{},"options":{"params_encoder":"Faraday::FlatParamsEncoder","proxy":null,"bind":null,"timeout":null,"open_timeout":null,"read_timeout":null,"write_timeout":null,"boundary":null,"oauth":null,"context":null,"on_data":null},"ssl":{"verify":true,"ca_file":null,"ca_path":null,"verify_mode":null,"cert_store":null,"client_cert":null,"client_key":null,"certificate":null,"private_key":null,"verify_depth":null,"version":null,"min_version":null,"max_version":null},"default_parallel_manager":null,"builder":{"adapter":{"name":"Faraday::Adapter::NetHttp","args":[],"block":null},"handlers":[{"name":"Faraday::Response::RaiseError","args":[],"block":null}],"app":{"app":{"ssl_cert_store":{"verify_callback":null,"error":null,"error_string":null,"chain":null,"time":null},"app":{},"connection_options":{},"config_block":null}}},"url_prefix":"http://search-op-v2/solr/cody/","manual_proxy":false,"proxy":null},"update_format":"RSolr::JSON::Generator","update_path":"update","options":{"url":"http://search-op-v2/solr/cody"}}},"query":{"params":{"per_page":50,"term":"tag:\"elmat\"","current_player":null,"sort":"map(difficulty_value,0,0,999) asc"},"parser":"MathWorks::Search::Solr::QueryParser","directives":{"term":{"directives":{"tag":[["tag:\"elmat\"","","\"","elmat","\""]]}}},"facets":{"#\u003cMathWorks::Search::Field:0x00007faf50ac76d0\u003e":null,"#\u003cMathWorks::Search::Field:0x00007faf50ac7630\u003e":null},"filters":{"#\u003cMathWorks::Search::Field:0x00007faf50ac6d70\u003e":"\"cody:problem\""},"fields":{"#\u003cMathWorks::Search::Field:0x00007faf50ac7950\u003e":1,"#\u003cMathWorks::Search::Field:0x00007faf50ac78b0\u003e":50,"#\u003cMathWorks::Search::Field:0x00007faf50ac7810\u003e":"map(difficulty_value,0,0,999) asc","#\u003cMathWorks::Search::Field:0x00007faf50ac7770\u003e":"tag:\"elmat\""},"user_query":{"#\u003cMathWorks::Search::Field:0x00007faf50ac7770\u003e":"tag:\"elmat\""},"queried_facets":{}},"options":{"fields":["id","difficulty_rating"]},"join":" "},"results":[{"id":2237,"difficulty_rating":"medium-hard"}]}}