005 • Response

puzzle_id:: 3-1e0a9b12
description:: test input
timestamp:: 24.329.071439
call_count:: 5
model:: models/gemini-exp-1114

code_execution_result: 2

Transformed Output:
[[0 0 0 0 0 0]
 [0 0 0 0 0 0]
 [0 0 0 0 0 0]
 [4 0 0 0 0 0]
 [4 0 7 8 0 0]
 [4 0 7 8 0 9]]
Expected Output:
[[0 0 0 0 0 0]
 [0 0 0 0 0 0]
 [0 0 0 0 0 0 0]
 [4 0 0 0 0 0]
 [4 0 7 8 0 0]
 [4 0 7 8 0 9]]
Are the outputs the same? False

Pre-Test Phase

Perception

The input grid is 5x5. The non-zero numbers are 2 (red), 4 (yellow), 3 (green), 5 (gray), and 6 (magenta).

Comparison with examples

This input grid follows the same general structure as the previous examples. We have scattered non-zero values across the grid, and we anticipate that the transformation will collect and rearrange these values in the bottom row of the output grid.

Code Execution for Pre-Test (Prediction) code_execution:

import numpy as np

def transform_grid(input_grid):
    height, width = input_grid.shape
    output_grid = np.zeros_like(input_grid)

    non_zeros = []
    occupied_cols = set()

    for row in range(height - 1, -1, -1):
        for col in range(width):
            if input_grid[row, col] != 0:
                if col not in occupied_cols:
                    non_zeros.append(input_grid[row, col])
                    occupied_cols.add(col)

    output_grid[-1, :len(non_zeros)] = non_zeros

    return output_grid

input_grid = np.array([[0, 2, 0, 4, 3], [5, 0, 0, 0, 0], [0, 0, 6, 0, 0], [5, 2, 0, 4, 0], [5, 0, 0, 0, 0]])

transformed_output = transform_grid(input_grid)

print("Predicted Output:")
print(transformed_output)

Test Phase - Predicted output

[[0 0 0 0 0]
 [0 0 0 0 0]
 [0 0 0 0 0]
 [0 0 0 0 0]
 [5 2 6 4 3]]

code_execution_result: 3

Predicted Output:
[[0 0 0 0 0]
 [0 0 0 0 0]
 [0 0 0 0 0]
 [0 0 0 0 0]
 [5 2 6 4 3]]

time
response time	total elapsed
17.129	212.975

usage
token type	call count	total used
Prompt	8753	28625
Response	751	4724
Total	9504	33349
Cached	0	0