"content":"<p>You are given a <strong>0-indexed</strong> <code>m * n</code> integer matrix <code>values</code>, representing the values of <code>m * n</code> different items in <code>m</code> different shops. Each shop has <code>n</code> items where the <code>j<sup>th</sup></code> item in the <code>i<sup>th</sup></code> shop has a value of <code>values[i][j]</code>. Additionally, the items in the <code>i<sup>th</sup></code> shop are sorted in non-increasing order of value. That is, <code>values[i][j] >= values[i][j + 1]</code> for all <code>0 <= j < n - 1</code>.</p>\n\n<p>On each day, you would like to buy a single item from one of the shops. Specifically, On the <code>d<sup>th</sup></code> day you can:</p>\n\n<ul>\n\t<li>Pick any shop <code>i</code>.</li>\n\t<li>Buy the rightmost available item <code>j</code> for the price of <code>values[i][j] * d</code>. That is, find the greatest index <code>j</code> such that item <code>j</code> was never bought before, and buy it for the price of <code>values[i][j] * d</code>.</li>\n</ul>\n\n<p><strong>Note</strong> that all items are pairwise different. For example, if you have bought item <code>0</code> from shop <code>1</code>, you can still buy item <code>0</code> from any other shop.</p>\n\n<p>Return <em>the <strong>maximum amount of money that can be spent</strong> on buying all </em> <code>m * n</code> <em>products</em>.</p>\n\n<p> </p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> values = [[8,5,2],[6,4,1],[9,7,3]]\n<strong>Output:</strong> 285\n<strong>Explanation:</strong> On the first day, we buy product 2 from shop 1 for a price of values[1][2] * 1 = 1.\nOn the second day, we buy product 2 from shop 0 for a price of values[0][2] * 2 = 4.\nOn the third day, we buy product 2 from shop 2 for a price of values[2][2] * 3 = 9.\nOn the fourth day, we buy product 1 from shop 1 for a price of values[1][1] * 4 = 16.\nOn the fifth day, we buy product 1 from shop 0 for a price of values[0][1] * 5 = 25.\nOn the sixth day, we buy product 0 from shop 1 for a price of values[1][0] * 6 = 36.\nOn the seventh day, we buy product 1 from shop 2 for a price of values[2][1] * 7 = 49.\nOn the eighth day, we buy product 0 from shop 0 for a price of values[0][0] * 8 = 64.\nOn the ninth day, we buy product 0 from shop 2 for a price of values[2][0] * 9 = 81.\nHence, our total spending is equal to 285.\nIt can be shown that 285 is the maximum amount of money that can be spent buying all m * n products. \n</pre>\n\n<p><strong class=\"example\">Example2:</strong></p>\n\n<pre>\n<strong>Input:</strong>values=[[10,8,6,4,2],[9,7,5,3,2]]\n<strong>Output:</strong>386\n<strong>Explanation:</strong>Onthefirstday,webuyproduct4fromshop0forapriceofvalues[0][4]*1=2.\nOnthesecondday,webuyproduct4fromshop1forapriceofvalues[1][4]*2=4.\nOnthethirdday,webuyproduct3fromshop1forapriceofvalues[1][3]*3=9.\nOnthefourthday,webuyproduct3fromshop0forapriceofvalues[0][3]*4=16.\nOnthefifthday,webuyproduct2fromshop1forapriceofvalues[1][2]*5=25.\nOnthesixthday,webuyproduct2fromshop0forapriceofvalues[0][2]*6=36.\nOntheseventhday,webuyproduct1fromshop1forapriceofvalues[1][1]*7=49.\nOntheeighthday,webuyproduct1fromshop0forapriceofvalues[0][1]*8=64\nOntheninthday,webuyproduct0fromshop1forapriceofvalues[1][0]*9=81.\nOnthetenthday,webuyproduct0fromshop0forapriceofvalues[0][0]*10=100.\nHence,ourtotalspendingisequalto386.\nItcanbeshownthat386isthemaximumamountofmoneythatcanbespentbuyingallm*nproducts.\n</pre>\n\n<p> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>1<=m==values.length<=10</code></li>\n\t<li><code>1<=n==values[i].length<=10<sup>4</sup></code></li>\n\t<li><code>1<=values[i][j]<=10<sup>6</sup></code></li>\n\t<li><code>values[i]</code>aresortedinnon-increasingorder.</li>\n</ul>
"envInfo":"{\"cpp\": [\"C++\", \"<p>Compiled with <code> clang 11 </code> using the latest C++ 20 standard.</p>\\r\\n\\r\\n<p>Your code is compiled with level two optimization (<code>-O2</code>). <a href=\\\"https://github.com/google/sanitizers/wiki/AddressSanitizer\\\" target=\\\"_blank\\\">AddressSanitizer</a> is also enabled to help detect out-of-bounds and use-after-free bugs.</p>\\r\\n\\r\\n<p>Most standard library headers are already included automatically for your convenience.</p>\"], \"java\": [\"Java\", \"<p><code>OpenJDK 17</code>. Java 8 features such as lambda expressions and stream API can be used. </p>\\r\\n\\r\\n<p>Most standard library headers are already included automatically for your convenience.</p>\\r\\n<p>Includes <code>Pair</code> class from https://docs.oracle.com/javase/8/javafx/api/javafx/util/Pair.html.</p>\"], \"python\": [\"Python\", \"<p><code>Python 2.7.12</code>.</p>\\r\\n\\r\\n<p>Most libraries are already imported automatically for your convenience, such as <a href=\\\"https://docs.python.org/2/library/array.html\\\" target=\\\"_blank\\\">array</a>, <a href=\\\"https://docs.python.org/2/library/bisect.html\\\" target=\\\"_blank\\\">bisect</a>, <a href=\\\"https://docs.python.org/2/library/collections.html\\\" target=\\\"_blank\\\">collections</a>. If you need more libraries, you can import it yourself.</p>\\r\\n\\r\\n<p>For Map/TreeMap data structure, you may use <a href=\\\"http://www.grantjenks.com/docs/sortedcontainers/\\\" target=\\\"_blank\\\">sortedcontainers</a> library.</p>\\r\\n\\r\\n<p>Note that Python 2.7 <a href=\\\"https://www.python.org/dev/peps/pep-0373/\\\" target=\\\"_blank\\\">will not be maintained past 2020</a>. For the latest Python, please choose Python3 instead.</p>\"], \"c\": [\"C\", \"<p>Compiled with <code>gcc 8.2</code> using the gnu11 standard.</p>\\r\\n\\r\\n<p>Your code is compiled with level one optimization (<code>-O1</code>). <a href=\\\"https://github.com/google/sanitizers/wiki/AddressSanitizer\\\" target=\\\"_blank\\\">AddressSanitizer</a> is also enabled to help detect out-of-bounds and use-after-free bugs.</p>\\r\\n\\r\\n<p>Most standard library headers are already included automatically for your convenience.</p>\\r\\n\\r\\n<p>For hash table operations, you may use <a href=\\\"https://troydhanson.github.io/uthash/\\\" target=\\\"_blank\\\">uthash</a>. \\\"uthash.h\\\" is included by default. Below are some examples:</p>\\r\\n\\r\\n<p><b>1. Adding an item to a hash.</b>\\r\\n<pre>\\r\\nstruct hash_entry {\\r\\n int id; /* we'll use this field as the key */\\r\\n char name[10];\\r\\n UT_hash_handle hh; /* makes this structure hashable */\\r\\n};\\r\\n\\r\\nstruct hash_entry *users = NULL;\\r\\n\\r\\nvoid add_user(struct hash_entry *s) {\\r\\n HASH_ADD_INT(users, id, s);\\r\\n}\\r\\n</pre>\\r\\n</p>\\r\\n\\r\\n<p><b>2. Looking up an item in a hash:</b>\\r\\n<pre>\\r\\nstruct hash_entry *find_user(int user_id) {\\r\\n struct hash_entry *s;\\r\\n HASH_FIND_INT(users, &user_id, s);\\r\\n return s;\\r\\n}\\r\\n</pre>\\r\\n</p>\\r\\n\\r\\n<p><b>3. Deleting an item in a hash:</b>\\r\\n<pre>\\r\\nvoid delete_user(struct hash_entry *user) {\\r\\n HASH_DEL(users, user); \\r\\n}\\r\\n</pre>\\r\\n</p>\"], \"csharp\": [\"C#\", \"<p><a href=\\\"https://learn.microsoft.com/en-us/dotnet/csharp/whats-new/csharp-10\\\" target=\\\"_blank\\\">C# 10 with .NET 6 runtime</a></p>\"], \"javascript\": [\"JavaScript\", \"<p><code>Node.js 16.13.2</code>.</p>\\r\\n\\r\\n<p>Your code is run with <code>--harmony</code> flag, enabling <a href=\\\"http://node.green/\\\" target=\\\"_blank\\\">new ES6 features</a>.</p>\\r\\n\\r\\n<p><a href=\\\"https://lodash.com\\\" target=\\\"_blank\\\">lodash.js</a> library is included by default.</p>\\r\\n\\r\\n<p>For Priority Queue / Queue data structures, you may use 5.3.0 version of <a href=\\\"https://github.com/datastructures-js/priority-queue/tree/fb4fdb984834421279aeb081df7af624d17c2a03\\\" target=\\\"_blank\\\">datastructures-js/priority-queue</a> and 4.2.1 version of <a href=\\\"https://githu