{ "data": { "question": { "questionId": "2357", "questionFrontendId": "2276", "boundTopicId": null, "title": "Count Integers in Intervals", "titleSlug": "count-integers-in-intervals", "content": "
Given an empty set of intervals, implement a data structure that can:
\n\nImplement the CountIntervals class:
CountIntervals() Initializes the object with an empty set of intervals.void add(int left, int right) Adds the interval [left, right] to the set of intervals.int count() Returns the number of integers that are present in at least one interval.Note that an interval [left, right] denotes all the integers x where left <= x <= right.
\n
Example 1:
\n\n\nInput\n["CountIntervals", "add", "add", "count", "add", "count"]\n[[], [2, 3], [7, 10], [], [5, 8], []]\nOutput\n[null, null, null, 6, null, 8]\n\nExplanation\nCountIntervals countIntervals = new CountIntervals(); // initialize the object with an empty set of intervals. \ncountIntervals.add(2, 3); // add [2, 3] to the set of intervals.\ncountIntervals.add(7, 10); // add [7, 10] to the set of intervals.\ncountIntervals.count(); // return 6\n // the integers 2 and 3 are present in the interval [2, 3].\n // the integers 7, 8, 9, and 10 are present in the interval [7, 10].\ncountIntervals.add(5, 8); // add [5, 8] to the set of intervals.\ncountIntervals.count(); // return 8\n // the integers 2 and 3 are present in the interval [2, 3].\n // the integers 5 and 6 are present in the interval [5, 8].\n // the integers 7 and 8 are present in the intervals [5, 8] and [7, 10].\n // the integers 9 and 10 are present in the interval [7, 10].\n\n\n
\n
Constraints:
\n\n1 <= left <= right <= 109105 calls in total will be made to add and count.count.Compiled with clang 11 using the latest C++ 20 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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Python 2.7.12.
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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Your code is compiled with level one optimization (-O1). AddressSanitizer is also enabled to help detect out-of-bounds and use-after-free bugs.
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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 1.21
Support https://godoc.org/github.com/emirpasic/gods@v1.18.1 library.
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