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Where a value slots in

mediumpatternsBinary searchArraysC++

A timeseries store keeps an array sorted and needs to know exactly where a new reading would land on insertion.

insertPosition(values: list<int>, target: int) → int

C++ needs a compiler and Drill does not host one yet, so this page is the reference rather than an exercise: the problem, worked examples, and the solution in full. To type it out, the same problem runs in Python.

Solve it in Python →

Where you start

int insertPosition(std::vector<int> values, int target) {
    
}

Worked examples

CallResult
insertPosition(std::vector<int>{1, 3, 5, 6}, 5)2
insertPosition(std::vector<int>{1, 3, 5, 6}, 2)1
insertPosition(std::vector<int>{1, 3, 5, 6}, 7)4
insertPosition(std::vector<int>{1, 3, 5, 6}, 0)0

Hint

A lower-bound binary search: hold a window in two indices and ask which half the value must fall in.

Reference solution in C++
int insertPosition(std::vector<int> values, int target) {
    int lo = 0, hi = (int) values.size();
    while (lo < hi) {
        int mid = (lo + hi) / 2;
        if (values[mid] < target) lo = mid + 1;
        else hi = mid;
    }
    return lo;
}

The same problem in another language

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