Can you fix this code? It should also work with any data file. The find_neighbor_values() function finds the neighbours given the coordinate location (row, col). The fill_gaps() function estimates the missing land values within the grid and updates the grid. The data file is: 4 4 1 0 3 4 5 6 7 8 9 10 11 12 13 14 15 16 The expected outcome should look like this: Sim City land values: 1 0 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Calculated Sim City land values: 1 4 3 4 5 6 7 8 9 10 11 12 13 14 15 16 But instead looks like this: Sim City land values: 4 4 1 0 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Calculated Sim City land values: 4 4 1 0 3 4 5 6 7 8 9 10 11 12 13 14 15 16 My code: import copy def create_grid(filename: str) -> list[list[int]]: """ Create a grid of land values from a file """ with open(filename) as file: lines = file.readlines() grid = [[int(value) for value in line.strip().split()] for line in lines] return grid def display_grid(grid: list[list[int]]) -> None: """ Display a grid of land values """ for row in grid: for value in row: print(f"{value:8}", end="") print() def find_neighbor_values(grid: list[list[int]], row: int, col: int) -> list[int]: """ Find the neighbors of a cell """ neighbors = [] num_rows = len(grid) num_cols = len(grid[0]) # Check cells to the left and right for c in range(col-1, col+2): if c >= 0 and c < num_cols and c != col: neighbors.append(grid[row][c]) # Check cells above and below for r in range(row-1, row+2): if r >= 0 and r < num_rows and r != row: neighbors.append(grid[r][col]) return neighbors from copy import deepcopy def fill_gaps(grid: list[list[int]]) -> list[list[int]]: """ Fill the gaps in the grid Creates a new grid with the same dimensions as the original grid Calls find_neighbor_values() to find the neighbors of each cell Do NOT modify the original grid! """ new_grid = deepcopy(grid) for i in range(len(grid)): for j in range(len(grid[i])): if grid[i][j] == -1: neighbors = find_neighbor_values(grid, i, j) total = 0 count = 0 for value in neighbors: if value != -1: total += value count += 1 if count > 0: new_grid[i][j] = total // count return new_grid def main() -> None: """ Main program. """ grid = create_grid("data_0.txt") print("Sim City land values:") display_grid(grid) print("\nCalculated Sim City land values:") new_grid = fill_gaps(grid) display_grid(new_grid) if __name__ == "__main__": main() Please test the code before handing in..

1. Can you fix this code? It should also work with any data file.
The find_neighbor_values() function finds the neighbours given the coordinate location (row,
col).
The fill_gaps() function estimates the missing land values within the grid and updates the grid.
The data file is:
4
4
1
0
3
4
5
6
7
8
9
10
11
12
13
14
15
16
The expected outcome should look like this:
Sim City land values:
1 0 3 4
5 6 7 8
9 10 11 12
13 14 15 16
Calculated Sim City land values:
1 4 3 4
5 6 7 8
9 10 11 12

2. 13 14 15 16
But instead looks like this:
Sim City land values:
4
4
1
0
3
4
5
6
7
8
9
10
11
12
13
14
15
16
Calculated Sim City land values:
4
4
1
0
3
4
5
6
7
8
9
10
11
12

3. 13
14
15
16
My code:
import copy
def create_grid(filename: str) -> list[list[int]]:
"""
Create a grid of land values from a file
"""
with open(filename) as file:
lines = file.readlines()
grid = [[int(value) for value in line.strip().split()] for line in lines]
return grid
def display_grid(grid: list[list[int]]) -> None:
"""
Display a grid of land values
"""
for row in grid:
for value in row:
print(f"{value:8}", end="")
print()
def find_neighbor_values(grid: list[list[int]], row: int, col: int) -> list[int]:
"""
Find the neighbors of a cell
"""
neighbors = []
num_rows = len(grid)
num_cols = len(grid[0])
# Check cells to the left and right
for c in range(col-1, col+2):
if c >= 0 and c < num_cols and c != col:
neighbors.append(grid[row][c])
# Check cells above and below
for r in range(row-1, row+2):
if r >= 0 and r < num_rows and r != row:

4. neighbors.append(grid[r][col])
return neighbors
from copy import deepcopy
def fill_gaps(grid: list[list[int]]) -> list[list[int]]:
"""
Fill the gaps in the grid
Creates a new grid with the same dimensions as the original grid
Calls find_neighbor_values() to find the neighbors of each cell
Do NOT modify the original grid!
"""
new_grid = deepcopy(grid)
for i in range(len(grid)):
for j in range(len(grid[i])):
if grid[i][j] == -1:
neighbors = find_neighbor_values(grid, i, j)
total = 0
count = 0
for value in neighbors:
if value != -1:
total += value
count += 1
if count > 0:
new_grid[i][j] = total // count
return new_grid
def main() -> None:
"""
Main program.
"""
grid = create_grid("data_0.txt")
print("Sim City land values:")
display_grid(grid)
print("nCalculated Sim City land values:")
new_grid = fill_gaps(grid)
display_grid(new_grid)
if __name__ == "__main__":
main()

5. Please test the code before handing in.