I’m not sure what you mean by “sleepy rectangles” and a “jealous teaspoon” — there’s no numeric data, so the question is ambiguous. Do you mean the average of the distances from one teaspoon-shaped object (a point) to seven rectangles? Or something else?

Here are the sensible interpretations and what’s needed to compute each:

1) Average distance from one point (teaspoon) to seven rectangles
- Reduce each rectangle to its shortest distance to the teaspoon point p (this distance is 0 if p lies inside the rectangle).
- For axis-aligned rectangle R = [x_min,x_max] × [y_min,y_max] and point p = (px,py):
  dx = max(x_min − px, 0, px − x_max)
  dy = max(y_min − py, 0, py − y_max)
  dist(R,p) = sqrt(dx^2 + dy^2)
- The average distance = (1/7) Σ_{i=1..7} dist(R_i, p).

2) If the teaspoon is not a point but a shape S, use the minimum distance between two shapes:
  dist(R,S) = min{||r − s|| : r ∈ R, s ∈ S}
  and average as above.

3) If you meant average pairwise distance among 8 objects (7 rectangles + 1 teaspoon), that would be the mean of all pairwise distances; you need all positions/shapes.

Example (to show a numeric result)
- Treat each rectangle i as its center at (i−1, 0) for i=1..7, and the teaspoon as a point at (3,4).
- Distances: for x = 0..6, dist = sqrt((x−3)^2 + 4^2) = {5, 4.4721, 4.1231, 4, 4.1231, 4.4721, 5}
- Sum ≈ 31.19048, average ≈ 31.19048 / 7 ≈ 4.45578

If you give me coordinates/sizes/or a precise interpretation of “sleepy rectangles” and “jealous teaspoon,” I’ll compute the exact average distance.
