Simple to Understand Dude.!
1.Initialization (init): Initializes matrix dimensions and a set called used to track flipped indices.\n\n2.Flip Operation (flip): Randomly selects a new index,
1.Initialization (__init__): Initializes matrix dimensions and a set called used to track flipped indices.\n\n2.Flip Operation (flip): Randomly selects a new index, checks if it\'s already flipped, and returns the coordinates.\n\n3.Reset Operation (reset): Clears the used set to reset the matrix and allows all cells to be flipped again.\n\n4.Efficiency: This solution minimizes memory usage by tracking only flipped cells, reducing space complexity from O(mn) to O(mn) in total flips.\n\n# Code\n```python3 []\nimport random\n\nclass Solution:\n\n    def __init__(self, m: int, n: int):\n        self.m = m\n        self.n = n\n        self.total_cells = m * n\n        self.used = set()\n\n    def flip(self) -> list[int]:\n        while True:\n            rand_index = random.randint(0, self.total_cells - 1)\n            if rand_index not in self.used:\n                self.used.add(rand_index)\n                i, j = rand_index // self.n, rand_index % self.n\n                return [i, j]\n\n    def reset(self) -> None:\n        self.used.clear()\n\n```
['Python3']