Find Shortest Path in a Grid Using BFS

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Your question is Find Shortest Path in a Grid Using BFS. Start with the requirements on the right.

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Problem

Given a 2D grid represented as a list of lists, where 0 represents an open cell and 1 represents a wall, implement a BFS algorithm to find the shortest path from the top-left corner (0, 0) to the bottom-right corner (n-1, m-1). If no path exists, return -1.

Constraints

1 <= grid.length, grid[i].length <= 100
The grid will only contain 0s and 1s.

Function Signature

def shortest_path_bfs(grid):

Your solutionPython 3

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