009 • Response
- puzzle_id:
3-1e0a9b12
- description:
review working
- timestamp:
24.329.064813
- call_count:
9
- model:
models/gemini-1.5-flash-002
The changes to the working output grid are consistent with the transformation rule. The set_pixel
function correctly places the color 5 at the specified location (row 4, column 0), which corresponds to the first non-zero element in the input grid’s last row.
Let’s verify this by continuing to populate the working grid with the remaining non-zero elements from the input grid, following their horizontal order and using the set_pixel
function. I’ll then compare the final working grid to the predicted output grid to confirm consistency.
code_execution:
import numpy as np
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]])
output_grid = np.zeros((5, 5), dtype=int)
nonzero_indices = np.nonzero(input_grid)
nonzero_values = input_grid[nonzero_indices]
output_grid[-1, nonzero_indices[1]] = nonzero_values
print("Final Output Grid:\n", output_grid)
#Verification
predicted_output = np.array([[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]])
print("\nPredicted Output Grid:\n", predicted_output)
print(f"\nAre the grids identical? {np.array_equal(output_grid, predicted_output)}")
code_execution_result:
Final Output Grid:
[[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]]
Predicted Output Grid:
[[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]]
Are the grids identical? True
The code confirms that the final output_grid
and the predicted_output
grid are identical. This validates that the transformation rule is correctly applied, and the working grid updates are consistent with this rule. Therefore, the solution is correct.
response time |
total elapsed |
---|---|
5.265 |
55.792 |
token type |
call count |
total used |
---|---|---|
Prompt |
10079 |
65873 |
Response |
633 |
6242 |
Total |
10712 |
72115 |
Cached |
0 |
0 |
See also