{ "data": { "question": { "questionId": "1000", "questionFrontendId": "960", "boundTopicId": null, "title": "Delete Columns to Make Sorted III", "titleSlug": "delete-columns-to-make-sorted-iii", "content": "
You are given an array of n
strings strs
, all of the same length.
We may choose any deletion indices, and we delete all the characters in those indices for each string.
\n\nFor example, if we have strs = ["abcdef","uvwxyz"]
and deletion indices {0, 2, 3}
, then the final array after deletions is ["bef", "vyz"]
.
Suppose we chose a set of deletion indices answer
such that after deletions, the final array has every string (row) in lexicographic order. (i.e., (strs[0][0] <= strs[0][1] <= ... <= strs[0][strs[0].length - 1])
, and (strs[1][0] <= strs[1][1] <= ... <= strs[1][strs[1].length - 1])
, and so on). Return the minimum possible value of answer.length
.
\n
Example 1:
\n\n\nInput: strs = ["babca","bbazb"]\nOutput: 3\nExplanation: After deleting columns 0, 1, and 4, the final array is strs = ["bc", "az"].\nBoth these rows are individually in lexicographic order (ie. strs[0][0] <= strs[0][1] and strs[1][0] <= strs[1][1]).\nNote that strs[0] > strs[1] - the array strs is not necessarily in lexicographic order.\n\n
Example 2:
\n\n\nInput: strs = ["edcba"]\nOutput: 4\nExplanation: If we delete less than 4 columns, the only row will not be lexicographically sorted.\n\n\n
Example 3:
\n\n\nInput: strs = ["ghi","def","abc"]\nOutput: 0\nExplanation: All rows are already lexicographically sorted.\n\n\n
\n
Constraints:
\n\nn == strs.length
1 <= n <= 100
1 <= strs[i].length <= 100
strs[i]
consists of lowercase English letters.Compiled with clang 11
using the latest C++ 17 standard.
Your code is compiled with level two optimization (-O2
). AddressSanitizer is also enabled to help detect out-of-bounds and use-after-free bugs.
Most standard library headers are already included automatically for your convenience.
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\\r\\nIncludes Pair
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Python 2.7.12
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Most libraries are already imported automatically for your convenience, such as array, bisect, collections. If you need more libraries, you can import it yourself.
\\r\\n\\r\\nFor Map/TreeMap data structure, you may use sortedcontainers library.
\\r\\n\\r\\nNote that Python 2.7 will not be maintained past 2020. For the latest Python, please choose Python3 instead.
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Most standard library headers are already included automatically for your convenience.
\\r\\n\\r\\nFor hash table operations, you may use uthash. \\\"uthash.h\\\" is included by default. Below are some examples:
\\r\\n\\r\\n1. Adding an item to a hash.\\r\\n
\\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\\r\\n\\r\\n\\r\\n
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3. Deleting an item in a hash:\\r\\n
\\r\\nvoid delete_user(struct hash_entry *user) {\\r\\n HASH_DEL(users, user); \\r\\n}\\r\\n\\r\\n\"], \"csharp\": [\"C#\", \"\\r\\n\\r\\n
Your code is compiled with debug flag enabled (/debug
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Node.js 16.13.2
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Your code is run with --harmony
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lodash.js library is included by default.
\\r\\n\\r\\nFor Priority Queue / Queue data structures, you may use datastructures-js/priority-queue and datastructures-js/queue.
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Some common data structure implementations are provided in the Algorithms module: https://www.rubydoc.info/github/kanwei/algorithms/Algorithms
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Go 1.17.6
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Support https://godoc.org/github.com/emirpasic/gods library.
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Most libraries are already imported automatically for your convenience, such as array, bisect, collections. If you need more libraries, you can import it yourself.
\\r\\n\\r\\nFor Map/TreeMap data structure, you may use sortedcontainers library.
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Kotlin 1.3.10
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With bcmath module
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