There is a 1-indexed 8 x 8 chessboard containing 3 pieces.
You are given 6 integers a, b, c, d, e, and f where:
(a, b) denotes the position of the white rook.(c, d) denotes the position of the white bishop.(e, f) denotes the position of the black queen.Given that you can only move the white pieces, return the minimum number of moves required to capture the black queen.
Note that:
Example 1:
Input: a = 1, b = 1, c = 8, d = 8, e = 2, f = 3 Output: 2 Explanation: We can capture the black queen in two moves by moving the white rook to (1, 3) then to (2, 3). It is impossible to capture the black queen in less than two moves since it is not being attacked by any of the pieces at the beginning.
Example 2:
Input: a = 5, b = 3, c = 3, d = 4, e = 5, f = 2 Output: 1 Explanation: We can capture the black queen in a single move by doing one of the following: - Move the white rook to (5, 2). - Move the white bishop to (5, 2).
Constraints:
1 <= a, b, c, d, e, f <= 8When you get asked this question in a real-life environment, it will often be ambiguous (especially at FAANG). Make sure to ask these questions in that case:
The goal is to figure out the fewest moves a rook, a bishop, and a king need to capture a queen on a chessboard. The brute force strategy involves trying every possible move for each piece and seeing if that capture is possible with the current move order.
Here's how the algorithm would work step-by-step:
def minimum_moves_to_capture_the_queen(
rook_row,
rook_column,
bishop_row,
bishop_column,
queen_row,
queen_column,
):
queue = [
((rook_row, rook_column), 0),
((bishop_row, bishop_column), 0),
]
visited = {
(rook_row, rook_column),
(bishop_row, bishop_column),
}
while queue:
(current_row, current_column), moves = queue.pop(0)
# Check if the queen is captured from the current position
if current_row == queen_row and current_column == queen_column:
return moves
# Generate possible moves for the rook
if current_row == rook_row and current_column == rook_column:
for row_delta, column_delta in [
(0, 1),
(0, -1),
(1, 0),
(-1, 0),
]:
next_row, next_column = (
current_row + row_delta,
current_column + column_delta,
)
if (
0 <= next_row < 8
and 0 <= next_column < 8
and (next_row, next_column) not in visited
):
queue.append(((next_row, next_column), moves + 1))
visited.add((next_row, next_column))
# Generate possible moves for the bishop
if current_row == bishop_row and current_column == bishop_column:
for row_delta, column_delta in [
(1, 1),
(1, -1),
(-1, 1),
(-1, -1),
]:
next_row, next_column = (
current_row + row_delta,
current_column + column_delta,
)
if (
0 <= next_row < 8
and 0 <= next_column < 8
and (next_row, next_column) not in visited
):
queue.append(((next_row, next_column), moves + 1))
visited.add((next_row, next_column))
return -1The key is to check if the rook, bishop and queen are on the same line, column or diagonal. We need to efficiently find the first piece that blocks the queen in each possible direction.
Here's how the algorithm would work step-by-step:
def min_moves_to_capture_the_queen(rook_row, rook_col, bishop_row, bishop_col, queen_row, queen_col, obstacles):
min_moves = float('inf')
obstacles_set = set((row, col) for row, col in obstacles)
# Check rook moves
for direction_row, direction_col in [(0, 1), (0, -1), (1, 0), (-1, 0)]:
moves_count = 0
current_row = rook_row
current_col = rook_col
while True:
moves_count += 1
current_row += direction_row
current_col += direction_col
if not (0 <= current_row < 8 and 0 <= current_col < 8):
break
if (current_row, current_col) == (queen_row, queen_col):
min_moves = min(min_moves, moves_count)
break
if (current_row, current_col) in obstacles_set:
break
# Check bishop moves
for direction_row, direction_col in [(1, 1), (1, -1), (-1, 1), (-1, -1)]:
moves_count = 0
current_row = bishop_row
current_col = bishop_col
while True:
moves_count += 1
current_row += direction_row
current_col += direction_col
if not (0 <= current_row < 8 and 0 <= current_col < 8):
break
if (current_row, current_col) == (queen_row, queen_col):
min_moves = min(min_moves, moves_count)
break
if (current_row, current_col) in obstacles_set:
break
# If min_moves is unchanged, no capture is possible
if min_moves == float('inf'):
return -1
else:
return min_moves| Case | How to Handle |
|---|---|
| Rook, Bishop, and Queen all start at the same position | Return 0, as the Queen is already captured. |
| Rook and Bishop occupy the same space | The algorithm should correctly calculate minimum moves independently for the rook and bishop and then find the minimum of the two if both can capture the queen. |
| Rook's path to Queen is blocked by the Bishop | Rook cannot move through Bishop. If Bishop is on the same row or column between Rook and Queen then Rook cannot capture the queen and its moves should return a large number or infinity, if that's allowed, or be ignored. |
| Bishop's path to Queen is blocked by the Rook | Bishop cannot move through Rook. If Rook is on a diagonal between Bishop and Queen, then Bishop cannot capture the Queen and its moves should return a large number or infinity, if that's allowed, or be ignored. |
| Queen is unreachable by both Rook and Bishop | Return -1 because neither piece can capture the queen. |
| Coordinates are out of bounds (less than 0 or greater than 7) | Assume the coordinates are always in bound as stated in problem description, otherwise add input validation at the beginning to return -1 or throw an error if any coordinate is out of bounds. |
| Integer overflow when calculating distances | The board size is fixed to 8x8, so distances are small enough to avoid integer overflow issues within the integer data type constraints. |
| Both Rook and Bishop can capture Queen in the same number of moves | Return the calculated minimum number of moves, no additional handling is needed as it naturally determines the minimum path. |