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SELECT
  id,
  title,
  s.quantity AS total_stock,
  r.quantity AS total_returns
  FROM
    products p
      LEFT JOIN stocks s
        ON p.id = s.product_id
      LEFT JOIN ( SELECT product_id, COUNT( * ) AS quantity FROM returns WHERE MONTHNAME( dt ) = 'July' GROUP BY product_id ) r
        ON p.id = r.product_id
  ORDER BY
    id

E-commerce sql
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public static long getTriangleArea(List<Integer> x, List<Integer> y) {
        long area = (long) (0.5 * (x.get(0) * (y.get(1) - y.get(2)) + x.get(1) * (y.get(2) - y.get(0)) + x.get(2) * (y.get(0) - y.get(1))));
        return Math.abs(area);
    }
👍2
public static int countBalancedSubstrings(String s) {
    int count_0 = 0, count_1 = 0;
    int[] substrings = new int[s.length()];

    for (int i = 0; i < s.length(); i++) {
        char ch = s.charAt(i);
        if (ch == '0') {
            count_0++;
        } else {
            count_1++;
        }
        substrings[i] = substrings[i - 1] + (count_0 == count_1 ? 1 : 0);
    }

    return substrings[s.length() - 1];
}
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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")

Scuba driving

python🆓
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