006 • Response

puzzle_id:: 4-0d3d703e
description:: test input
timestamp:: 24.357.081407
call_count:: 6
model:: gemini-2.0-flash-thinking-exp-1219

The user wants me to apply the learned transformation rule to the test input grid to generate the output grid. The rule is a column-wise color mapping. I need to identify the color of each column in the input grid and then use the established color mapping to determine the color of the corresponding column in the output grid.

Input Grid:

Column 1: Azure (8)
Column 2: Blue (1)
Column 3: Green (3)

Color Mapping:

Azure (8) -> Maroon (9)
Blue (1) -> Gray (5)
Green (3) -> Yellow (4)

Output Grid:

Column 1: Maroon (9)
Column 2: Gray (5)
Column 3: Yellow (4)

The output grid will be a 3x3 grid with these column colors.

import numpy as np

input_grid = np.array([[8, 1, 3], [8, 1, 3], [8, 1, 3]])
output_grid = np.zeros_like(input_grid)

color_map = {
    3: 4,  # Green -> Yellow
    1: 5,  # Blue -> Gray
    2: 6,  # Red -> Magenta
    8: 9,  # Azure -> Maroon
    5: 1,  # Gray -> Blue
    6: 2,  # Magenta -> Red
    9: 8,  # Maroon -> Azure
    4: 3   # Yellow -> Green
}

for col in range(input_grid.shape[1]):
    input_color = input_grid[0, col]
    output_color = color_map[input_color]
    output_grid[:, col] = output_color

print("Output Grid:")
print(output_grid)

time
response time	total elapsed
4.135	55.652

usage
token type	call count	total used
Prompt	10211	38202
Response	419	6873
Total	10630	45075
Cached	0	0