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def find_paths(matrix, n, m, i, j, oxygen, path, paths):
    if i < 0 or i >= n or j < 0 or j >= n or matrix[i][j] == 0:
        return

    oxygen -= matrix[i][j]
    path += directions[(0, 1)] # 'R'

    if i == n-1 and (j == n-1 or j == 0): # Reached destination
        if oxygen >= 0:
            paths.append((path, oxygen))
        return

    temp = matrix[i][j]
    matrix[i][j] = 0 # Mark as visited

    for di, dj in directions:
        find_paths(matrix, n, m, i + di, j + dj, oxygen, path, paths)

    matrix[i][j] = temp # Backtrack
    path = path[:-1] # Remove the last direction

n = int(input())
matrix = [list(map(int, input().split())) for _ in range(n)]
m = int(input())

directions = [(0, 1), (1, 0), (0, -1), (-1, 0)]
paths = []

find_paths(matrix, n, m, 0, 0, m, '', paths)

print("The available paths are")
for path, _ in paths:
    print(path)

feasible_paths = [(path, oxygen) for path, oxygen in paths if oxygen >= 0]
if feasible_paths:
    print("\nThe feasible paths with remaining oxygen levels are")
    for path, oxygen in feasible_paths:
        print(path, oxygen)
else:
    print("\nNo feasible path")

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