010 • Response

puzzle_id:: 4-0d3d703e
description:: review working
timestamp:: 24.329.064813
call_count:: 10
model:: models/gemini-1.5-flash-002

The set_range function call correctly modifies the first column of the working output grid to color 9 (maroon), as predicted by the color mapping from the training examples. The code below verifies this:

code_execution:

import numpy as np

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

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

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

Are all values equal? False

The comparison shows that only the first column matches the target output. The next steps should focus on filling in the remaining columns with the appropriate colors based on the color mapping (1 -> 5 and 3 -> 4).

time
response time	total elapsed
3.824	57.402

usage
token type	call count	total used
Prompt	10560	73646
Response	372	6177
Total	10932	79823
Cached	0	0