012 • Response

puzzle_id:: 4-0d3d703e
description:: review working
timestamp:: 24.329.064813
call_count:: 12
model:: models/gemini-1.5-flash-002

The set_range function call correctly modifies the second column of the working output grid to color 5 (gray), consistent with the color mapping (1 -> 5) derived from the training examples. The code below verifies this:

code_execution:

import numpy as np

working_output = np.array([[9, 5, 0],
                           [9, 5, 0],
                           [9, 5, 0]])

target_output = np.array([[9, 5, 4],
                          [9, 5, 4],
                          [9, 5, 4]])

print("Working Output Grid:\n", working_output)
print("\nTarget Output Grid:\n", target_output)


comparison = np.equal(working_output, target_output)
print("\nComparison (Working Output == Target Output):\n", comparison)
all_equal = np.all(comparison)
print(f"\nAre all values equal? {all_equal}")

code_execution_result:

Working Output Grid:
 [[9 5 0]
 [9 5 0]
 [9 5 0]]

Target Output Grid:
 [[9 5 4]
 [9 5 4]
 [9 5 4]]

Comparison (Working Output == Target Output):
 [[ True  True False]
 [ True  True False]
 [ True  True False]]

Are all values equal? False

The comparison shows that the first two columns now match the target output. Only the third column remains to be filled.

update working grid function_call: set_range

result: True set_range(row1=0.0, column1=2.0, row2=2.0, column2=2.0, color=4)

3 pixels modified

working output grid

updated with your changes

[[9 5 4]
 [9 5 4]
 [9 5 4]]

image

heatmap is updated to reflect the change

The set_range function call correctly modifies the third column of the working output grid to color 4 (yellow), completing the color mapping (3 -> 4) derived from the training examples. The final working output grid now matches the predicted output grid.

code_execution:

import numpy as np

working_output = np.array([[9, 5, 4],
                           [9, 5, 4],
                           [9, 5, 4]])

target_output = np.array([[9, 5, 4],
                          [9, 5, 4],
                          [9, 5, 4]])

print("Working Output Grid:\n", working_output)
print("\nTarget Output Grid:\n", target_output)


comparison = np.equal(working_output, target_output)
print("\nComparison (Working Output == Target Output):\n", comparison)
all_equal = np.all(comparison)
print(f"\nAre all values equal? {all_equal}")

code_execution_result:

Working Output Grid:
 [[9 5 4]
 [9 5 4]
 [9 5 4]]

Target Output Grid:
 [[9 5 4]
 [9 5 4]
 [9 5 4]]

Comparison (Working Output == Target Output):
 [[ True  True  True]
 [ True  True  True]
 [ True  True  True]]

Are all values equal? True

The final comparison shows that the working output grid perfectly matches the target output grid, confirming the successful application of the color mapping and the completion of the puzzle. The transformation is complete and correct.

time
response time	total elapsed
6.652	65.389

usage
token type	call count	total used
Prompt	11297	96158
Response	854	7043
Total	12151	103201
Cached	0	0