{"id":795,"date":"2019-09-26T11:40:08","date_gmt":"2019-09-26T03:40:08","guid":{"rendered":"http:\/\/149.129.74.185\/?p=795"},"modified":"2019-09-26T11:42:11","modified_gmt":"2019-09-26T03:42:11","slug":"patadvanced1153-decode-registration-card-of-pat-25-%e5%88%86","status":"publish","type":"post","link":"http:\/\/www.magicmipamipa.com\/?p=795","title":{"rendered":"PAT(Advanced)1153 Decode Registration Card of PAT (25 \u5206)"},"content":{"rendered":"<h3 style=\"text-align: center;\" id=\"mcetoc_1dllq3cru0\"><span>1153<\/span><span>\u00a0<\/span><span>Decode Registration Card of PAT<\/span><span>\u00a0<\/span><span>(25\u00a0<\/span><span>\u5206<\/span><span>)<\/span><\/h3>\n<p>A registration card number of PAT consists of 4 parts:<\/p>\n<ul>\n<li>the 1st letter represents the test level, namely,<span>\u00a0<\/span><code>T<\/code><span>\u00a0<\/span>for the top level,<span>\u00a0<\/span><code>A<\/code><span>\u00a0<\/span>for advance and<span>\u00a0<\/span><code>B<\/code><span>\u00a0<\/span>for basic;<\/li>\n<li>the 2nd &#8211; 4th digits are the test site number, ranged from 101 to 999;<\/li>\n<li>the 5th &#8211; 10th digits give the test date, in the form of<span>\u00a0<\/span><code>yymmdd<\/code>;<\/li>\n<li>finally the 11th &#8211; 13th digits are the testee&#8217;s number, ranged from 000 to 999.<\/li>\n<\/ul>\n<p>Now given a set of registration card numbers and the scores of the card owners, you are supposed to output the various statistics according to the given queries.<\/p>\n<h3 id=\"input-specification-\">Input Specification:<\/h3>\n<p>Each input file contains one test case. For each case, the first line gives two positive integers<span>\u00a0<\/span><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"strut\"><\/span><span class=\"strut bottom\"><\/span><span class=\"base textstyle uncramped\"><span class=\"mord mathit\">N<\/span><\/span><\/span><\/span><span>\u00a0<\/span>(<span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"strut\"><\/span><span class=\"strut bottom\"><\/span><span class=\"base textstyle uncramped\"><span class=\"mrel\">\u2264<\/span><span class=\"mord mathrm\">1<\/span><span class=\"mord\"><span class=\"mord mathrm\">0<\/span><span class=\"msupsub\"><span class=\"vlist\"><span><span class=\"fontsize-ensurer reset-size5 size5\">\u200b<\/span><span class=\"reset-textstyle scriptstyle uncramped mtight\"><span class=\"mord mathrm mtight\">4<\/span><\/span><\/span><span class=\"baseline-fix\"><span class=\"fontsize-ensurer reset-size5 size5\"><span>\u200b<\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span>) and<span>\u00a0<\/span><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"strut\"><\/span><span class=\"strut bottom\"><\/span><span class=\"base textstyle uncramped\"><span class=\"mord mathit\">M<\/span><\/span><\/span><\/span><span>\u00a0<\/span>(<span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"strut\"><\/span><span class=\"strut bottom\"><\/span><span class=\"base textstyle uncramped\"><span class=\"mrel\">\u2264<\/span><span class=\"mord mathrm\">1<\/span><span class=\"mord mathrm\">0<\/span><span class=\"mord mathrm\">0<\/span><\/span><\/span><\/span>), the numbers of cards and the queries, respectively.<\/p>\n<p>Then<span>\u00a0<\/span><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"strut\"><\/span><span class=\"strut bottom\"><\/span><span class=\"base textstyle uncramped\"><span class=\"mord mathit\">N<\/span><\/span><\/span><\/span><span>\u00a0<\/span>lines follow, each gives a card number and the owner&#8217;s score (integer in<span>\u00a0<\/span><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"strut\"><\/span><span class=\"strut bottom\"><\/span><span class=\"base textstyle uncramped\"><span class=\"mopen\">[<\/span><span class=\"mord mathrm\">0<\/span><span class=\"mpunct\">,<\/span><span class=\"mord mathrm\">1<\/span><span class=\"mord mathrm\">0<\/span><span class=\"mord mathrm\">0<\/span><span class=\"mclose\">]<\/span><\/span><\/span><\/span>), separated by a space.<\/p>\n<p>After the info of testees, there are<span>\u00a0<\/span><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"strut\"><\/span><span class=\"strut bottom\"><\/span><span class=\"base textstyle uncramped\"><span class=\"mord mathit\">M<\/span><\/span><\/span><\/span><span>\u00a0<\/span>lines, each gives a query in the format<span>\u00a0<\/span><code>Type Term<\/code>, where<\/p>\n<ul>\n<li><code>Type<\/code><span>\u00a0<\/span>being 1 means to output all the testees on a given level, in non-increasing order of their scores. The corresponding<span>\u00a0<\/span><code>Term<\/code><span>\u00a0<\/span>will be the letter which specifies the level;<\/li>\n<li><code>Type<\/code><span>\u00a0<\/span>being 2 means to output the total number of testees together with their total scores in a given site. The corresponding<span>\u00a0<\/span><code>Term<\/code><span>\u00a0<\/span>will then be the site number;<\/li>\n<li><code>Type<\/code><span>\u00a0<\/span>being 3 means to output the total number of testees of every site for a given test date. The corresponding<span>\u00a0<\/span><code>Term<\/code><span>\u00a0<\/span>will then be the date, given in the same format as in the registration card.<\/li>\n<\/ul>\n<h3 id=\"output-specification-\">Output Specification:<\/h3>\n<p>For each query, first print in a line<span>\u00a0<\/span><code>Case #: input<\/code>, where<span>\u00a0<\/span><code>#<\/code><span>\u00a0<\/span>is the index of the query case, starting from 1; and<span>\u00a0<\/span><code>input<\/code><span>\u00a0<\/span>is a copy of the corresponding input query. Then output as requested:<\/p>\n<ul>\n<li>for a type 1 query, the output format is the same as in input, that is,<span>\u00a0<\/span><code>CardNumber Score<\/code>. If there is a tie of the scores, output in increasing alphabetical order of their card numbers (uniqueness of the card numbers is guaranteed);<\/li>\n<li>for a type 2 query, output in the format<span>\u00a0<\/span><code>Nt Ns<\/code><span>\u00a0<\/span>where<span>\u00a0<\/span><code>Nt<\/code><span>\u00a0<\/span>is the total number of testees and<span>\u00a0<\/span><code>Ns<\/code><span>\u00a0<\/span>is their total score;<\/li>\n<li>for a type 3 query, output in the format<span>\u00a0<\/span><code>Site Nt<\/code><span>\u00a0<\/span>where<span>\u00a0<\/span><code>Site<\/code><span>\u00a0<\/span>is the site number and<span>\u00a0<\/span><code>Nt<\/code><span>\u00a0<\/span>is the total number of testees at<span>\u00a0<\/span><code>Site<\/code>. The output must be in non-increasing order of<span>\u00a0<\/span><code>Nt<\/code>&#8216;s, or in increasing order of site numbers if there is a tie of<span>\u00a0<\/span><code>Nt<\/code>.<\/li>\n<\/ul>\n<p>If the result of a query is empty, simply print<span>\u00a0<\/span><code>NA<\/code>.<\/p>\n<h3 id=\"sample-input-\">Sample Input:<\/h3>\n<pre><code class=\"lang-in\">8 4\r\nB123180908127 99\r\nB102180908003 86\r\nA112180318002 98\r\nT107150310127 62\r\nA107180908108 100\r\nT123180908010 78\r\nB112160918035 88\r\nA107180908021 98\r\n1 A\r\n2 107\r\n3 180908\r\n2 999\r\n<\/code><\/pre>\n<h3 id=\"sample-output-\">Sample Output:<\/h3>\n<pre><code class=\"lang-out\">Case 1: 1 A\r\nA107180908108 100\r\nA107180908021 98\r\nA112180318002 98\r\nCase 2: 2 107\r\n3 260\r\nCase 3: 3 180908\r\n107 2\r\n123 2\r\n102 1\r\nCase 4: 2 999\r\nNA<\/code><\/pre>\n<p>\u9898\u76ee\u89e3\u8bfb\uff1a\uff08\u592a\u957f\u4e86\u6211\u5c31\u76f4\u63a5\u6252\u7ffb\u8bd1\u4e86\uff09<\/p>\n<p>\u6bcf\u4e2a\u8f93\u5165\u6587\u4ef6\u5305\u542b\u4e00\u4e2a\u6d4b\u8bd5\u7528\u4f8b\u3002 \u5bf9\u4e8e\u6bcf\u79cd\u60c5\u51b5\uff0c\u7b2c\u4e00\u884c\u7ed9\u51fa\u4e24\u4e2a\u6b63\u6574\u6570N\u548cM\u5206\u522b\u662f\u5361\u6570\u548c\u67e5\u8be2\u6570\u3002\u7136\u540eN\u884c\uff0c\u6bcf\u884c\u7ed9\u51fa\u4e00\u4e2a\u5361\u53f7\u548c\u6240\u6709\u8005\u5f97\u5206\uff08[0,100]\u4e2d\u7684\u6574\u6570\uff09\uff0c\u4e2d\u95f4\u7528\u7a7a\u683c\u9694\u5f00\u3002\u5728\u88ab\u6d4b\u8005\u7684\u4fe1\u606f\u4e4b\u540e\uff0c\u6709M\u884c\uff0c\u6bcf\u884c\u4ee5Type Term\u683c\u5f0f\u63d0\u4f9b\u67e5\u8be2\uff0c\u5176\u4e2dType\u4e3a1\u8868\u793a\u4ee5\u7ed9\u5b9a\u6c34\u5e73\u4e0a\u7684\u6240\u6709\u53d7\u6d4b\u8005\uff0c\u4ee5\u5176\u5206\u6570\u7684\u4ece\u5c0f\u5230\u5927\u7684\u987a\u5e8f\u8f93\u51fa\u3002 \u76f8\u5e94\u7684\u672f\u8bed\u5c06\u662f\u6307\u5b9a\u7ea7\u522b\u7684\u5b57\u6bcd\uff1b\u7c7b\u578b\u4e3a2\u8868\u793a\u5728\u7ed9\u5b9a\u7ad9\u70b9\u4e2d\u8f93\u51fa\u53d7\u6d4b\u8005\u7684\u603b\u6570\u53ca\u5176\u603b\u5206\u3002 \u76f8\u5e94\u7684\u6761\u6b3e\u5c06\u6210\u4e3a\u7ad9\u70b9\u7f16\u53f7\uff1bType\u4e3a3\u8868\u793a\u8f93\u51fa\u7ed9\u5b9a\u6d4b\u8bd5\u65e5\u671f\u6bcf\u4e2a\u7ad9\u70b9\u7684\u53d7\u6d4b\u8005\u603b\u6570\u3002 \u76f8\u5e94\u7684\u6761\u6b3e\u5c06\u662f\u65e5\u671f\uff0c\u4ee5\u4e0e\u6ce8\u518c\u5361\u4e2d\u76f8\u540c\u7684\u683c\u5f0f\u7ed9\u51fa\u3002<\/p>\n<div class=\"tlid-input input\">\n<div class=\"source-wrap\">\n<div class=\"input-full-height-wrapper tlid-input-full-height-wrapper\">\n<div class=\"source-input\">\n<div class=\"source-footer-wrap source-or-target-footer\">\n<div class=\"character-count tlid-character-count\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"tlid-results-container results-container\">\n<div class=\"tlid-result result-dict-wrapper\">\n<div class=\"result tlid-copy-target\">\n<div class=\"text-wrap tlid-copy-target\">\n<div class=\"result-shield-container tlid-copy-target\" tabindex=\"0\"><span class=\"tlid-translation translation\" lang=\"zh-CN\"><span>\u5bf9\u4e8e\u6bcf\u4e2a\u67e5\u8be2\uff0c\u9996\u5148\u5728Case\uff03\uff1a\u8f93\u5165\u884c\u4e2d\u6253\u5370\uff0c\u5176\u4e2d\uff03\u662f\u67e5\u8be2\u6848\u4f8b\u7684\u7d22\u5f15\uff0c\u4ece1\u5f00\u59cb\uff1b<\/span> <span>\u8f93\u5165\u662f\u76f8\u5e94\u8f93\u5165\u67e5\u8be2\u7684\u526f\u672c\u3002<\/span> <span>\u7136\u540e\u6839\u636e\u8981\u6c42\u8f93\u51fa\uff1a<\/span><br \/>\n<span>\u5bf9\u4e8e\u7c7b\u578b1\u67e5\u8be2\uff0c\u5176\u8f93\u51fa\u683c\u5f0f\u4e0e\u8f93\u5165\u4e2d\u7684\u76f8\u540c\uff0c\u5373CardNumber Score\u3002<\/span> <span>\u5982\u679c\u5f97\u5206\u76f8\u7b49\uff0c\u5219\u6309\u5176\u5361\u53f7\u7684\u5b57\u6bcd\u5347\u5e8f\u8f93\u51fa\uff08\u4fdd\u8bc1\u5361\u53f7\u7684\u552f\u4e00\u6027\uff09\uff1b<\/span><br \/>\n<span>\u5bf9\u4e8e\u7c7b\u578b2\u67e5\u8be2\uff0c\u4ee5Nt Ns\u683c\u5f0f\u8f93\u51fa\uff0c\u5176\u4e2dNt\u662f\u88ab\u6d4b\u8bd5\u8005\u7684\u603b\u6570\uff0cNs\u662f\u4ed6\u4eec\u7684\u603b\u5206\uff1b<\/span><br \/>\n<span class=\"\">\u5bf9\u4e8e\u7c7b\u578b3\u67e5\u8be2\uff0c\u4ee5Site Nt\u683c\u5f0f\u8f93\u51fa\uff0c\u5176\u4e2dSite\u662f\u7ad9\u70b9\u7f16\u53f7\uff0cNt\u662f\u8be5\u7ad9\u70b9\u7684\u53d7\u6d4b\u8bd5\u8005\u603b\u6570\u3002<\/span> <span class=\"\">\u8f93\u51fa\u5fc5\u987b\u4ee5Nt\u7684\u975e\u9012\u589e\u987a\u5e8f\uff0c\u6216\u8005\u5982\u679c\u5b58\u5728Nt\uff0c\u5219\u4ee5\u7ad9\u70b9\u7f16\u53f7\u7684\u9012\u589e\u987a\u5e8f\u3002<\/span><br \/>\n<span class=\"\">\u5982\u679c\u67e5\u8be2\u7ed3\u679c\u4e3a\u7a7a\uff0c\u5219\u53ea\u9700\u6253\u5370NA\u3002<\/span><\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<p>\u89e3\u9898\u601d\u8def\uff1a\u662f\u4e59\u7ea7\u7684\u6700\u540e\u4e24\u9053\u9898\uff0c\u6240\u4ee5\u57fa\u672c\u6ca1\u600e\u4e48\u8003\u590d\u6742\u7684\u7b97\u6cd5\u548c\u7ed3\u6784\uff0c\u5c31\u662f\u6392\u5e8f\u3002\u8fd9\u9053\u9898\u5361\u5728\u8f93\u51fa\u4e0a\u5f88\u4e45\uff0c\u81ea\u5df1\u505a\u7684bug\u7684\u5730\u65b9\u6709\u8fd9\u51e0\u4e2a:<\/p>\n<p>1.\u8fd0\u884c\u8d85\u65f6\uff0c\u4fee\u6539\u4e86printf\u548cscanf\u540e\u8fd8\u8d85\u65f6\uff0c\u628amap\u6362\u6210\u4e86unordered_map\u5c31\u4e0d\u8d85\u4e86\uff08\u8bb0\u4e00\u4e0b\u82f1\u6587\u5e93\u540d\uff09<\/p>\n<p>2.\u7b54\u6848\u9519\u8bef\uff0c\u56e0\u4e3a\u8bfb\u5165\u65e5\u671f\u548c\u8003\u573a\u53f7\u662fint\u578b\uff0c\u6240\u4ee5\u8fd8\u5f97\u8f6c\u62103\u4f4d\u548c6\u4f4d\u8f93\u51fa\uff0c\u9ad8\u4f4d\u88650\uff0c\u7528<code>%0xd<\/code>\u3002\uff08\u6240\u4ee5\u6211\u4e3a\u5565\u4e0d\u7528\u5b57\u7b26\u4e32\u8bfb\u5462\uff1f\uff1f\uff09<\/p>\n<p>3.\u4e4b\u524d\u8fd8\u6709\u4e00\u4e2a\u5c0fbug\uff0c<code>scanf(\"%c\",&amp;ch)<\/code>\u7684\u65f6\u5019\u4f1a\u8bfbch\u4e3a\u7a7a\u683c\uff0c\u8fd9\u4e2a\u65f6\u5019\u53ea\u9700\u8981\u5728\u524d\u9762\u518d\u8865\u4e2a\u7a7a\u683c\uff0c\u6bd4\u5982<code>scanf(\" %c\",&amp;ch)<\/code>\u5c31\u53ef\u4ee5\u4e86\u3002\uff08\u6240\u4ee5\u6211\u4e3a\u5565\u4e0d\u7528\u5b57\u7b26\u4e32\u8bfb\u5462\uff01\uff01\uff01\uff09<\/p>\n<p>4.\u5bf9\u4e8emap\u7684\u6392\u5e8f\u65b9\u6cd5\u2014\u2014\u53ef\u4ee5\u628amap\u7684\u4e1c\u897f\u6254\u8fdbvector\u518d\u6392\u5e8f\u2026\u2026\u53e6\u5916\u7ed3\u6784\u4f53\u5176\u5b9e\u4e0d\u9700\u8981\u6784\u9020\u51fd\u6570\u8fd9\u4e48\u9ebb\u70e6\u7684\u4e1c\u897f\uff0c<code>vector.push_back({string,int});<\/code> \u8fd9\u79cd\u5b83\u4f1a\u81ea\u5df1\u5e2e\u4f60\u7ec4\u6210\u8fd9\u4e2a\u7ed3\u6784\u4f53\u3002<del>\uff08\u5927\u00a0 \u597d\u00a0 \u8bc4\uff09<\/del><\/p>\n<p>\u611f\u89c9\u8fd9\u9053\u9898\u6709\u5f88\u591a\u53ef\u4ee5\u5316\u7b80\u4f18\u5316\u7684\u5730\u65b9\uff0c\u770b\u4e86\u522b\u4eba\u7684\u4ee3\u7801\u4e5f\u53d7\u76ca\u532a\u6d45\u3002\u603b\u4e4b\u6ca1\u5565\u96be\u5ea6\uff0c\u4f46\u662f\u5751\u4e0d\u5c11\uff0c\u5982\u679c\u505a\u7684\u8d8a\u590d\u6742\u5c31\u8d8a\u5bb9\u6613\u51fa\u9519\u3002<img 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\/><\/p>\n<p>AC\u4ee3\u7801<\/p>\n<pre class=\"language-cpp\"><code>#include &lt;iostream&gt;\r\n#include &lt;vector&gt;\r\n#include &lt;string&gt;\r\n#include &lt;algorithm&gt;\r\n#include &lt;unordered_map&gt;\r\nusing namespace std;\r\nstruct node {\r\n\tstring name;\r\n\tint score;\r\n};\r\nbool cmp(const node &amp;a,const node &amp;b) {\r\n\tif (a.score == b.score)\r\n\t\treturn a.name &lt; b.name;\r\n\treturn a.score &gt; b.score;\r\n}\r\n\r\nint main()\r\n{\r\n\tint n, m;\r\n\tint sum = 0;\r\n\tint count = 0;\r\n\tvector&lt;node&gt; stu;\r\n\tscanf(\"%d %d\", &amp;n, &amp;m);\r\n\tfor (int i = 0; i &lt; n; i++) {\r\n\t\tchar name[100];\r\n\t\tint sc;\r\n\t\tscanf(\"%s %d\", name,&amp;sc);\r\n\t\tstu.push_back({ name, sc });\r\n\t}\r\n\tsort(stu.begin(), stu.end(), cmp);\r\n\tfor (int time = 1; time &lt;= m; time++) {\r\n\t\tint type;\r\n\t\tint flag = 0;\r\n\t\tscanf(\"%d\", &amp;type);\r\n\t\tprintf(\"Case %d: %d \", time,type);\r\n\t\tswitch (type) {\r\n\t\tcase 1:\r\n\t\t\tchar ch;\r\n\t\t\tscanf(\" %c\" ,&amp;ch);\r\n\t\t\tprintf(\"%c\\n\", ch);\r\n\t\t\tfor (int i = 0; i &lt; n; i++) {\r\n\t\t\t\tif (stu[i].name[0] == ch) {\r\n\t\t\t\t\tprintf(\"%s %d\\n\", stu[i].name.c_str(), stu[i].score);\r\n\t\t\t\t\tflag = 1;\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\tbreak;\r\n\t\tcase 2:\r\n\t\t\tint num;\r\n\t\t\tsum = 0, count = 0;\r\n\t\t\tscanf(\" %d\", &amp;num);\r\n\t\t\tprintf(\"%03d\\n\", num);\r\n\t\t\tfor (int i = 0; i &lt; n; i++) {\r\n\t\t\t\tif (stoi(stu[i].name.substr(1, 3)) == num) {\r\n\t\t\t\t\tcount++;\r\n\t\t\t\t\tsum += stu[i].score;\r\n\t\t\t\t\tflag = 1;\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\tif (flag)\r\n\t\t\t\tprintf(\"%d %d\\n\", count, sum);\r\n\t\t\tbreak;\r\n\t\tcase 3:\r\n\t\t\tint date;\r\n\t\t\tscanf(\" %d\", &amp;date);\r\n\t\t\tprintf(\"%06d\\n\", date);\r\n\t\t\tunordered_map&lt;string, int&gt; temp;\r\n\t\t\tfor (int i = 0; i &lt; n; i++) {\r\n\t\t\t\tif ( stoi(stu[i].name.substr(4, 6)) == date ) {\r\n\t\t\t\t\ttemp[stu[i].name.substr(1,3)] ++;\r\n\t\t\t\t\tflag = 1;\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\tvector&lt;node&gt; tempv;\r\n\t\t\tfor (auto&amp; value : temp)\r\n\t\t\t\ttempv.push_back({ value.first, value.second });\r\n\t\t\tsort(tempv.begin(), tempv.end(), cmp);\r\n\t\t\tfor (auto&amp; value : tempv)\r\n\t\t\t\tprintf(\"%s %d\\n\", value.name.c_str(),value.score);\r\n\t\t\tbreak;\r\n\t\t}\r\n\t\tif (!flag) {\r\n\t\t\tprintf(\"NA\\n\");\r\n\t\t}\r\n\t}\r\n\treturn 0;\r\n}<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"<p>1153\u00a0Decode Registration Card of PAT\u00a0(25\u00a0\u5206) A regi [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[16,18,17],"tags":[],"_links":{"self":[{"href":"http:\/\/www.magicmipamipa.com\/index.php?rest_route=\/wp\/v2\/posts\/795"}],"collection":[{"href":"http:\/\/www.magicmipamipa.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.magicmipamipa.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.magicmipamipa.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.magicmipamipa.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=795"}],"version-history":[{"count":3,"href":"http:\/\/www.magicmipamipa.com\/index.php?rest_route=\/wp\/v2\/posts\/795\/revisions"}],"predecessor-version":[{"id":798,"href":"http:\/\/www.magicmipamipa.com\/index.php?rest_route=\/wp\/v2\/posts\/795\/revisions\/798"}],"wp:attachment":[{"href":"http:\/\/www.magicmipamipa.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=795"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.magicmipamipa.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=795"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.magicmipamipa.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=795"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}