{ "data": { "question": { "questionId": "2055", "questionFrontendId": "1943", "boundTopicId": null, "title": "Describe the Painting", "titleSlug": "describe-the-painting", "content": "

There is a long and thin painting that can be represented by a number line. The painting was painted with multiple overlapping segments where each segment was painted with a unique color. You are given a 2D integer array segments, where segments[i] = [starti, endi, colori] represents the half-closed segment [starti, endi) with colori as the color.

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The colors in the overlapping segments of the painting were mixed when it was painted. When two or more colors mix, they form a new color that can be represented as a set of mixed colors.

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For the sake of simplicity, you should only output the sum of the elements in the set rather than the full set.

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You want to describe the painting with the minimum number of non-overlapping half-closed segments of these mixed colors. These segments can be represented by the 2D array painting where painting[j] = [leftj, rightj, mixj] describes a half-closed segment [leftj, rightj) with the mixed color sum of mixj.

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Return the 2D array painting describing the finished painting (excluding any parts that are not painted). You may return the segments in any order.

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A half-closed segment [a, b) is the section of the number line between points a and b including point a and not including point b.

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Example 1:

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\nInput: segments = [[1,4,5],[4,7,7],[1,7,9]]\nOutput: [[1,4,14],[4,7,16]]\nExplanation: The painting can be described as follows:\n- [1,4) is colored {5,9} (with a sum of 14) from the first and third segments.\n- [4,7) is colored {7,9} (with a sum of 16) from the second and third segments.\n
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Example 2:

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\nInput: segments = [[1,7,9],[6,8,15],[8,10,7]]\nOutput: [[1,6,9],[6,7,24],[7,8,15],[8,10,7]]\nExplanation: The painting can be described as follows:\n- [1,6) is colored 9 from the first segment.\n- [6,7) is colored {9,15} (with a sum of 24) from the first and second segments.\n- [7,8) is colored 15 from the second segment.\n- [8,10) is colored 7 from the third segment.\n
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Example 3:

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\nInput: segments = [[1,4,5],[1,4,7],[4,7,1],[4,7,11]]\nOutput: [[1,4,12],[4,7,12]]\nExplanation: The painting can be described as follows:\n- [1,4) is colored {5,7} (with a sum of 12) from the first and second segments.\n- [4,7) is colored {1,11} (with a sum of 12) from the third and fourth segments.\nNote that returning a single segment [1,7) is incorrect because the mixed color sets are different.\n
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Constraints:

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Compiled with clang 11 using the latest C++ 17 standard.

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Your code is compiled with level two optimization (-O2). AddressSanitizer is also enabled to help detect out-of-bounds and use-after-free bugs.

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Most standard library headers are already included automatically for your convenience.

\"], \"java\": [\"Java\", \"

OpenJDK 17 . Java 8 features such as lambda expressions and stream API can be used.

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Most standard library headers are already included automatically for your convenience.

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Includes Pair class from https://docs.oracle.com/javase/8/javafx/api/javafx/util/Pair.html.

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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.

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For Map/TreeMap data structure, you may use sortedcontainers library.

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Note that Python 2.7 will not be maintained past 2020. For the latest Python, please choose Python3 instead.

\"], \"c\": [\"C\", \"

Compiled with gcc 8.2 using the gnu99 standard.

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Your code is compiled with level one optimization (-O1). AddressSanitizer is also enabled to help detect out-of-bounds and use-after-free bugs.

\\r\\n\\r\\n

Most standard library headers are already included automatically for your convenience.

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For hash table operations, you may use uthash. \\\"uthash.h\\\" is included by default. Below are some examples:

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1. 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

2. Looking up an item in a hash:\\r\\n

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\\r\\n

\\r\\n\\r\\n

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#\", \"

C# 10 with .NET 6 runtime

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Your code is compiled with debug flag enabled (/debug).

\"], \"javascript\": [\"JavaScript\", \"

Node.js 16.13.2.

\\r\\n\\r\\n

Your code is run with --harmony flag, enabling new ES6 features.

\\r\\n\\r\\n

lodash.js library is included by default.

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For Priority Queue / Queue data structures, you may use datastructures-js/priority-queue and datastructures-js/queue.

\"], \"ruby\": [\"Ruby\", \"

Ruby 3.1

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Some common data structure implementations are provided in the Algorithms module: https://www.rubydoc.info/github/kanwei/algorithms/Algorithms

\"], \"swift\": [\"Swift\", \"

Swift 5.5.2.

\"], \"golang\": [\"Go\", \"

Go 1.17.6.

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Support https://godoc.org/github.com/emirpasic/gods library.

\"], \"python3\": [\"Python3\", \"

Python 3.10.

\\r\\n\\r\\n

Most libraries are already imported automatically for your convenience, such as array, bisect, collections. If you need more libraries, you can import it yourself.

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For Map/TreeMap data structure, you may use sortedcontainers library.

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Scala 2.13.7.

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Kotlin 1.3.10.

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Rust 1.58.1

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Supports rand v0.6\\u00a0from crates.io

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PHP 8.1.

\\r\\n

With bcmath module

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TypeScript 4.5.4, Node.js 16.13.2.

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lodash.js library is included by default.

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Run with Racket 8.3.

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