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Grokking the Coding Interview Patterns in Python

Solution: Shortest Path in a Grid with Obstacles Elimination

Explore how to solve the shortest path problem in a grid containing obstacles by applying breadth-first search with obstacle elimination. Understand encoding states, managing visited states, and ensuring minimum steps to reach the destination, enhancing your graph algorithm skills for coding interviews.

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Statement

Given an m x n integer matrix grid, where each cell contains either 00 (empty) or 11 (obstacle), you may move one step at a time in any of the four directions (up, down, left, right), but only into empty cells.

Return the minimum number of steps required to travel from the upper-left corner ((0, 0 ...