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Count the Number of Houses at a Certain Distance II

Number: 3310

Difficulty: Hard

Paid? No

Companies: Oracle


Problem Description

Given n houses numbered 1 through n connected in a line (with a street between house i and i+1) and an extra street connecting house x and house y (which may be the same house), we must—for each k from 1 to n—count the total number (ordered) of pairs of houses (house₁, house₂) whose minimum‑number of streets traveled equals k. In other words, for any two distinct houses i and j (order matters), the effective distance is given by the minimum between the direct (|i − j|) and the “shortcut” distance computed using the extra edge. We return a 1-indexed array result of length n where result[k] is the total count of such pairs that have distance exactly k.

Key Insights

  • The natural distance between houses i and j is |i − j| (with 1–step increments along the line) and initially, there are 2*(n − k) ordered pairs with direct distance k.
  • When using the extra street, one may “shortcut” the route by going from house i to x (or y), taking the extra edge (which counts as 1) and then going from y (or x) to house j.
  • Let dx = min(x,y) and dy = max(x,y). For any pair with i < j in the “rectangle region” (i from 1 to dx and j from dy to n) the shortcut distance becomes: (dx+1 − i) + (j − dy) (i.e. going from i to dx, taking the edge, then from dy to j).
  • Notice that for these rectangle pairs the direct distance is j − i whereas the shortcut distance is exactly (j − i) minus a constant gap = (dy − dx − 1). (This gap is positive only when dy > dx+1; otherwise the extra edge does not shorten the distance.)
  • Thus, for each pair in the rectangle the effective distance “shifts” from d = (j − i) to d - gap.
  • Instead of explicitly iterating over every pair (which would be too slow when n is large), we can count the number of rectangle pairs that have a given direct distance d. For a fixed d, the number of pairs with i in [1,dx] and j = i+d with j in [dy, n] is:   f(d) = max(0, min(dx, n − d) − max(1, dy − d) + 1).
  • We then “move” these counts: subtract 2f(d) from the answer at index d (since we originally assumed the pair uses the direct path) and add 2f(d) at index d - gap (their true effective distance), for every possible d.
  • Finally, note that all counts are for ordered pairs so every unordered pair contributes twice.

Space and Time Complexity

Time Complexity: O(n), since we loop over distances from 1 to n‑1 and perform O(1) work per distance. Space Complexity: O(n), due to the result array.

Solution

The strategy is to first assume every pair of houses is connected by the direct path only. For a given k (1 ≤ k ≤ n−1) there are 2*(n−k) ordered pairs with distance k. Then, we “correct” the counts for those pairs that can instead use the extra street to reduce the travel distance. Using dx = min(x,y) and dy = max(x,y), all pairs with i from 1 to dx and j from dy to n have an alternative “shortcut” distance equal to (j − i − (dy − dx − 1)). We count for every possible direct distance d the number of such pairs (call that count f(d)) and adjust our answer array accordingly by subtracting 2f(d) from index d and adding 2f(d) to index (d − gap), where gap = (dy − dx − 1).

This conversion is done in constant time per possible difference, and all indices are carefully bounded between 1 and n−1. Finally, we output an array (of length n) where index n is always zero.

Code Solutions

# Python solution with detailed comments
def count_houses(n, x, y):
    # Convert x,y into dx,dy such that dx <= dy
    dx, dy = min(x, y), max(x, y)
    gap = dy - dx - 1  # extra shortcut advantage; if 0 or negative extra edge does not shorten
    # Initialize answer for ordered pairs:
    # For direct path, for each distance d from 1 to n-1 there are 2*(n-d) ordered pairs.
    ans = [0] * (n + 1)  # ans[1] to ans[n], using 1-indexing
    for d in range(1, n):
        ans[d] = 2 * (n - d)
    # Only if the extra street actually shortens the distance
    if gap > 0:
        # For all rectangle pairs: i in [1,dx] and j in [dy, n] with direct distance d = j-i.
        # For a fixed d, we count how many indices i satisfy:
        # 1 <= i <= dx and j = i+d is in [dy, n].
        # That is, i must be in [max(1, dy-d), min(dx, n-d)].
        for d in range(dy - dx, n):
            lower_bound = max(1, dy - d)
            upper_bound = min(dx, n - d)
            if lower_bound <= upper_bound:
                count_pairs = upper_bound - lower_bound + 1
                new_distance = d - gap  # effective distance using the shortcut
                # Adjust our answer:
                # Subtract from direct count and add into the shortcut count
                if d < n:
                    ans[d] -= 2 * count_pairs
                if 1 <= new_distance < n:
                    ans[new_distance] += 2 * count_pairs
    # Return the answer from index 1 to n (note ans[n] remains 0 always)
    return ans[1:]

# Example usage:
# For n = 5, x = 2, y = 4, expected output: [10, 8, 2, 0, 0]
print(count_houses(5, 2, 4))
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