Connection
Base URL, credentials and a reachable server.
Product
Product features · Binary-grid quadtree encoding
01
Discuss uniform regions in QuadPollen, then follow their positions through the four-child spatial hierarchy.
Selection
A model available through the configured endpoint.
Capabilities
Context limits and tool support are determined by the model and server.
Binary-grid quadtree encoding
● ● ●QuadPollen●
A concrete starting point · Binary-grid quadtree encoding ×
def encode_quadtree(grid):
grid = tuple(tuple(row) for row in grid)
n = len(grid)
if not 1 <= n <= 16 or n & (n - 1) or any(len(row) != n for row in grid):
raise ValueError("grid.shape")
if any(type(v) is not int or v not in (0, 1) for row in grid for v in row):
raise ValueError("cell.binary")
def visit(x, y, size):
value = grid[y][x]
if all(grid[r][c] == value for r in range(y, y + size) for c in range(x, x + size)):
return value
half = size // 2
return (visit(x, y, half), visit(x + half, y, half),
visit(x, y + half, half), visit(x + half, y + half, half))
return visit(0, 0, n)✳Encode a square binary grid of power-of-two width up to 16 as a quadtree with uniform leaves.
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Illustrative workspace
