2526. Find Consecutive Integers from a Data Stream
Description
For a stream of integers, implement a data structure that checks if the last k integers parsed in the stream are equal to value.
Implement the DataStream class:
DataStream(int value, int k)Initializes the object with an empty integer stream and the two integersvalueandk.boolean consec(int num)Addsnumto the stream of integers. Returnstrueif the lastkintegers are equal tovalue, andfalseotherwise. If there are less thankintegers, the condition does not hold true, so returnsfalse.
Example 1:
Input
["DataStream", "consec", "consec", "consec", "consec"]
[[4, 3], [4], [4], [4], [3]]
Output
[null, false, false, true, false]
Explanation
DataStream dataStream = new DataStream(4, 3); //value = 4, k = 3
dataStream.consec(4); // Only 1 integer is parsed, so returns False.
dataStream.consec(4); // Only 2 integers are parsed.
// Since 2 is less than k, returns False.
dataStream.consec(4); // The 3 integers parsed are all equal to value, so returns True.
dataStream.consec(3); // The last k integers parsed in the stream are [4,4,3].
// Since 3 is not equal to value, it returns False.
Constraints:
1 <= value, num <= 1091 <= k <= 105- At most
105calls will be made toconsec.
Solutions
Solution 1: Counting
We can maintain a counter \(\textit{cnt}\) to record the current number of consecutive integers equal to \(\textit{value}\).
When calling the consec method, if \(\textit{num}\) is equal to \(\textit{value}\), we increment \(\textit{cnt}\) by 1; otherwise, we reset \(\textit{cnt}\) to 0. Then we check whether \(\textit{cnt}\) is greater than or equal to \(\textit{k}\).
The time complexity is \(O(1)\), and the space complexity is \(O(1)\).
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