{ "data": { "question": { "questionId": "1558", "questionFrontendId": "1462", "boundTopicId": null, "title": "Course Schedule IV", "titleSlug": "course-schedule-iv", "content": "

There are a total of numCourses courses you have to take, labeled from 0 to numCourses - 1. You are given an array prerequisites where prerequisites[i] = [ai, bi] indicates that you must take course ai first if you want to take course bi.

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Prerequisites can also be indirect. If course a is a prerequisite of course b, and course b is a prerequisite of course c, then course a is a prerequisite of course c.

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You are also given an array queries where queries[j] = [uj, vj]. For the jth query, you should answer whether course uj is a prerequisite of course vj or not.

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Return a boolean array answer, where answer[j] is the answer to the jth query.

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Example 1:

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\nInput: numCourses = 2, prerequisites = [[1,0]], queries = [[0,1],[1,0]]\nOutput: [false,true]\nExplanation: The pair [1, 0] indicates that you have to take course 1 before you can take course 0.\nCourse 0 is not a prerequisite of course 1, but the opposite is true.\n
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Example 2:

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\nInput: numCourses = 2, prerequisites = [], queries = [[1,0],[0,1]]\nOutput: [false,false]\nExplanation: There are no prerequisites, and each course is independent.\n
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Example 3:

\n\"\"\n
\nInput: numCourses = 3, prerequisites = [[1,2],[1,0],[2,0]], queries = [[1,0],[1,2]]\nOutput: [true,true]\n
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Constraints:

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We need to build an array isReachable[i][j].", "Start a bfs from each course i and assign for each course j you visit isReachable[i][j] = True.", "Answer the queries from the isReachable array." ], "solution": null, "status": null, "sampleTestCase": "2\n[[1,0]]\n[[0,1],[1,0]]", "metaData": "{\n \"name\": \"checkIfPrerequisite\",\n \"params\": [\n {\n \"name\": \"numCourses\",\n \"type\": \"integer\"\n },\n {\n \"type\": \"integer[][]\",\n \"name\": \"prerequisites\"\n },\n {\n \"type\": \"integer[][]\",\n \"name\": \"queries\"\n }\n ],\n \"return\": {\n \"type\": \"list\"\n }\n}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [], "enableRunCode": true, "enableTestMode": false, "enableDebugger": true, "envInfo": "{\"cpp\": [\"C++\", \"

Compiled with clang 11 using the latest C++ 20 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.

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

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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.

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3. Deleting an item in a hash:\\r\\n

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C# 10 with .NET 6 runtime

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Node.js 16.13.2.

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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

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Python 3.10.

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