
Problem Statement
In this computational problem, you are given a starting point (rStart, cStart)
within a grid defined by its dimensions, rows x cols
. Positioned in the grid facing east, your task is to traverse the entire grid in a unique pattern: a clockwise spiral starting from the initial location. Despite the bounds of the grid, your movement can extend outside these bounds momentarily, potentially returning later. The movement continues until every cell within the dimensions rows x cols
is visited. You must report the travel log as a list of grid coordinates in the exact order each was visited. This will help understand spatial patterns and movement within bounded grids, especially useful for robotics and simulation algorithms.
Examples
Example 1
Input:
rows = 1, cols = 4, rStart = 0, cStart = 0
Output:
[[0,0],[0,1],[0,2],[0,3]]
Example 2
Input:
rows = 5, cols = 6, rStart = 1, cStart = 4
Output:
[[1,4],[1,5],[2,5],[2,4],[2,3],[1,3],[0,3],[0,4],[0,5],[3,5],[3,4],[3,3],[3,2],[2,2],[1,2],[0,2],[4,5],[4,4],[4,3],[4,2],[4,1],[3,1],[2,1],[1,1],[0,1],[4,0],[3,0],[2,0],[1,0],[0,0]]
Constraints
1 <= rows, cols <= 100
0 <= rStart < rows
0 <= cStart < cols
Approach and Intuition
The challenge involves simulating a walk in a spiral pattern, starting at a specified cell of the grid and navigating through all cells using specific movement rules:
- Start facing east at position
(rStart, cStart)
. - Move east as long as there are unvisited cells or until the boundary is reached, then move to the next available direction in the clockwise direction (south).
- Continue changing your movement to the next clockwise direction (west, north, and so forth) every time you either reach an edge or need to start moving inward.
- If during traveling in any direction, a boundary is encountered, turn right (clockwise) irrespective of whether the boundary is physically the edge of the grid or a traverse limitation due to earlier paths.
- Continue this pattern until all cells of the grid are covered.
The overall approach can be broken into handling directional movement and detecting boundary conditions:
- Directional Control: Starting from facing east, you must effectively manage turning right (thus facing south, then west, and then north, repeating the cycle) whenever a blockage or the end of the grid is encountered.
- Boundary and Path Memory: A tracking system to remember which cells have been visited is crucial. Once an edge is reached or you return to a previously visited cell, turn right.
This problem can be approached programmatically using a loop to handle the continuous movement and an array (or similar data structure) to keep track of visited cells. It tests not only the understanding of array manipulations but also control flow in terms of loop and directional changes based on runtime conditions.
Solutions
- C++
class Solution {
public:
vector<vector<int>> generateSpiral(int R, int C, int xStart, int yStart) {
// Directions follow the pattern: right, down, left, up
vector<vector<int>> directions{{0, 1}, {1, 0}, {0, -1}, {-1, 0}};
vector<vector<int>> resultMatrix;
// Start with a single step and rotate direction as outer loop iterates
for (int len = 1, dirIdx = 0; resultMatrix.size() < R * C;) {
// Loop twice for each side of the rectangle length 'len'
for (int k = 0; k < 2; ++k) {
for (int count = 0; count < len; ++count) {
// Check if the current position is within bounds
if (xStart >= 0 && xStart < R && yStart >= 0 && yStart < C) {
resultMatrix.push_back({xStart, yStart});
}
// Move to the next position in the current direction
xStart += directions[dirIdx][0];
yStart += directions[dirIdx][1];
}
// Switch to the next direction
dirIdx = (dirIdx + 1) % 4;
}
// Increase the side length after each full iteration of inner loops
++len;
}
return resultMatrix;
}
};
Generate a matrix filled with coordinates in a spiral pattern starting from a given position within bounds. This method is implemented in C++ and is capable of providing a spiral traversal of matrix coordinates.
- Initialize a sequence of movement directions to simulate traveling right, down, left, and up, in order to create a spiral pattern.
- Prepare an empty list to hold the result of matrix coordinates.
- Employ a nested loop structure where the outer loop determines the spiral pattern's expansion and the inner loops handle the movement across and down the matrix for a given length.
- For each position calculated by the current direction and step:
- Verify whether this position is within the matrix boundaries of dimensions RxC.
- If valid, append the coordinate to the results list.
- Update the position based on the current direction.
- After tackling one dimension of movement (either horizontal or vertical), rotate to the next direction.
- With each full cycle of the four directions, increase the length of steps to progressively expand the spiral.
After iterating through all possible positions while expanding the steps as needed, the method will produce a complete set of coordinates filled in a spiral order starting from the specified position, ensuring all coordinates are within the matrix limits. This function specifically caters to the need for generating a pathway in a matrix for visual or computational purposes.
- Java
class Solution {
public int[][] generateSpiral(int row_count, int col_count, int start_row, int start_col) {
// Direction vectors for East, South, West, North
int[][] directions = new int[][] { { 0, 1 }, { 1, 0 }, { 0, -1 }, { -1, 0 } };
int[][] path = new int[row_count * col_count][2];
int pathIndex = 0;
// Step variable and rotation of direction using mod 4
for (int length = 1, dir = 0; pathIndex < row_count * col_count;) {
for (int z = 0; z < 2; ++z) {
for (int stepIndex = 0; stepIndex < length; ++stepIndex) {
// Only add indexes within bounds
if (
start_row >= 0 &&
start_row < row_count &&
start_col >= 0 &&
start_col < col_count
) {
path[pathIndex][0] = start_row;
path[pathIndex][1] = start_col;
++pathIndex;
}
// Move to the next spot on the grid
start_row += directions[dir][0];
start_col += directions[dir][1];
}
dir = (dir + 1) % 4;
}
++length;
}
return path;
}
}
In the Java solution for generating a spiral matrix starting from a specified cell within a matrix grid, the process follows these primary steps:
Initialize direction vectors corresponding to moving East, South, West, and North. This array of vectors guides movements through the matrix in a spiral pattern.
Create an output array named
path
that will store each cell's coordinates the spiral traverses. Its size is determined by the total number of cells (row_count * col_count
).Use a nested loop strategy for spiral traversal:
- The outer loop manages the expansion of the spiral. The spiral length increases after every full cycle (East to North) through the directions.
- Two nested loops, the first handles the cycle through the directions, and the second iterates the movement for each direction according to the current spiral length.
For each potential cell in the spiral:
- Check if it's within the matrix bounds.
- If so, log the cell's coordinates in the
path
array and increment the count of visited cells.
Move to the next cell in the current direction as dictated by the
directions
array.Every two steps in any direction, turn 90 degrees to continue the spiral pattern.
Return the
path
array as the final ordered list of coordinates representing the spiral path.
This logic effectively simulates a spiral traversal starting from any coordinate in the grid, yielding a sequential list of matrix coordinates that follow a spiral order. This can be particularly useful for matrix-based simulations or visualizations where directional and orderly coverage of a grid is required.
- Python
class Solution:
def traverseSpiral(self, height: int, width: int, xStart: int, yStart: int) -> List[List[int]]:
# Array of directions: right, down, left, up
directions = [[0, 1], [1, 0], [0, -1], [-1, 0]]
result = []
# Beginning with 1 step, and the initial direction is 0 (East)
steps = 1
current_direction = 0
while len(result) < height * width:
# Process each direction twice before increasing steps
for _ in range(2):
for _ in range(steps):
# Check if the current position is valid
if (0 <= xStart < height) and (0 <= yStart < width):
result.append([xStart, yStart])
# Update position based on the current direction
xStart += directions[current_direction][0]
yStart += directions[current_direction][1]
# Change direction clockwise
current_direction = (current_direction + 1) % 4
# Increase the number of steps every two directions
steps += 1
return result
This solution involves generating coordinates for a matrix as they would be visited in a spiral order starting from a given initial position (xStart, yStart)
. The code is implemented in Python and defines a method called traverseSpiral
within a class named Solution
. Here's how it works:
- Starts by defining the
directions
list which contains steps for traversal in the order of right[0, 1]
, down[1, 0]
, left[0, -1]
, and up[-1, 0]
. - An empty list
result
is initialized to store the resulting path of coordinates. - The spiral traversal is controlled by the
steps
variable which initially is set to 1, indicative of the number of steps to move in a current direction. - A
current_direction
index is used to cycle through thedirections
list. - The function enters a loop that will continue until the
result
list has accumulated enough coordinates to match the total number of cells in the matrix (i.e.,height * width
). - Inside the loop, for each iteration of the directions (right then down, left then up), the steps are executed:
- Coordinates are checked for their validity (i.e., whether they lie within the bounds of the matrix).
- Valid coordinates are added to the
result
. - Position indices
xStart
andyStart
are updated based on the current direction.
- After exiting the innermost loop, the direction is rotated clockwise by updating the
current_direction
index. - Every two directions, the number of
steps
is increased, as per the spiral's expanding nature. - Finally, the method returns the
result
which is a list of coordinates representing the matrix cells in the order they are visited in a spiral traversal.
This method ensures comprehensive traversal of a matrix in a spiral order from any provided starting point, making it versatile for various starting positions within the bounds of the matrix.
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