002 • Response

puzzle_id:: 5-150deff5
description:: example_2
timestamp:: 24.329.071439
call_count:: 2
model:: models/gemini-exp-1114

This second example again shows an input grid with a single gray (5) shape, this time forming a more block-like shape with an extrusion on the bottom left. In the output, similar to example 1, the horizontal segments of the gray shape are transformed to azure (8) and the vertical segments are converted to red (2). The overall shape and position are again maintained, with only color changes according to the orientation of the segments.

input:
  width: 10
  height: 8
  colors:
    - 0: 54
    - 5: 26
  objects:
    - irregular shape - block with extrusion in gray (5)

output:
  width: 10
  height: 8
  colors:
    - 0: 54
    - 8: 14
    - 2: 12
  objects:
    - irregular shape - block with extrusion with azure (8) horizontal and red (2) vertical segments

differences:
  cells_changed: 26
  colors_changed: gray (5) to azure (8) and red (2)
  transformation:
    - Change color of the horizontal segments to azure (8)
    - Change color of the vertical segments to red (2)

code_execution:

import numpy as np

input_grid = np.array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
 [0, 5, 5, 5, 5, 5, 5, 0, 0, 0],
 [0, 5, 5, 5, 5, 5, 5, 0, 0, 0],
 [0, 0, 0, 5, 0, 0, 5, 0, 0, 0],
 [0, 0, 0, 0, 5, 5, 5, 0, 0, 0],
 [0, 0, 0, 0, 5, 5, 5, 0, 0, 0],
 [0, 0, 0, 0, 5, 0, 0, 0, 0, 0],
 [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]])

output_grid = np.array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
 [0, 8, 8, 2, 8, 8, 2, 0, 0, 0],
 [0, 8, 8, 2, 8, 8, 2, 0, 0, 0],
 [0, 0, 0, 2, 0, 0, 2, 0, 0, 0],
 [0, 0, 0, 0, 2, 8, 8, 0, 0, 0],
 [0, 0, 0, 0, 2, 8, 8, 0, 0, 0],
 [0, 0, 0, 0, 2, 0, 0, 0, 0, 0],
 [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]])

def find_color_changes(input_grid, output_grid):
    changes = []
    for y in range(input_grid.shape[0]):
        for x in range(input_grid.shape[1]):
            if input_grid[y, x] != output_grid[y, x]:
                changes.append(((y, x), input_grid[y, x], output_grid[y, x]))
    return changes

changes = find_color_changes(input_grid, output_grid)
print(changes)

def is_horizontal(grid, y, x):
    if grid[y,x] == 0:
        return False
    neighbors = []
    if x > 0: neighbors.append(grid[y, x-1])
    if x < grid.shape[1] -1: neighbors.append(grid[y, x+1])
    return any(n == grid[y,x] for n in neighbors)

def is_vertical(grid, y, x):
    if grid[y, x] == 0:
        return False
    neighbors = []
    if y > 0 : neighbors.append(grid[y-1,x])
    if y < grid.shape[0] -1 : neighbors.append(grid[y+1,x])
    return any(n == grid[y,x] for n in neighbors)

horizontal_changes = []
vertical_changes = []
for (y, x), old_color, new_color in changes:
    if is_horizontal(input_grid, y, x):
        horizontal_changes.append(((y,x), old_color, new_color))
    elif is_vertical(input_grid, y, x):
        vertical_changes.append(((y,x), old_color, new_color))

print("Horizontal changes:", horizontal_changes)
print("Vertical changes:", vertical_changes)

code_execution_result: 1 ``` [((1, 1), np.int64(5), np.int64(8)), ((1, 2), np.int64(5), np.int64(8)), ((1, 3), np.int64(5), np.int64(2)), ((1, 4), np.int64(5), np.int64(8)), ((1, 5), np.int64(5), np.int64(8)), ((1, 6), np.int64(5), np.int64(2)), ((2, 1), np.int64(5), np.int64(8)), ((2, 2), np.int64(5), np.int64(8)), ((2, 3), np.int64(5), np.int64(2)), ((2, 4), np.int64(5), np.int64(8)), ((2, 5), np.int64(5), np.int64(8)), ((2, 6), np.int64(5), np.int64(2)), ((3, 3), np.int64(5), np.int64(2)), ((3, 6), np.int64(5), np.int64(2)), ((4, 4), np.int64(5), np.int64(2)), ((4, 5), np.int64(5), np.int64(8)), ((4, 6), np.int64(5), np.int64(8)), ((5, 4), np.int64(5), np.int64(2)), ((5, 5), np.int64(5), np.int64(8)), ((5, 6), np.int64(5), np.int64(8)), ((6, 4), np.int64(5), np.int64(2))] Horizontal changes: [((1, 1), np.int64(5), np.int64(8)), ((1, 2), np.int64(5), np.int64(8)), ((1, 4), np.int64(5), np.int64(8)), ((1, 5), np.int64(5), np.int64(8)), ((2, 1), np.int64(5), np.int64(8)), ((2, 2), np.int64(5), np.int64(8)), ((2, 4), np.int64(5), np.int64(8)), ((2, 5), np.int64(5), np.int64(8)), ((4, 5), np.int64(5), np.int64(8)), ((4, 6), np.int64(5), np.int64(8)), ((5, 5), np.int64(5), np.int64(8)), ((5, 6), np.int64(5), np.int64(8))] Vertical changes: [((1, 3), np.int64(5), np.int64(2)), ((1, 6), np.int64(5), np

time
response time	total elapsed
63.869	136.472

usage
token type	call count	total used
Prompt	5976	8514
Response	2048	2224
Total	8024	10738
Cached	0	0