使用二叉树改写class MemoryManager: def init(self, allocator): self.allocator = allocator def allocate(self, process, request_size): memory_view = self.allocator.memory_view() best_fit_block = None best_fit_size = float('inf') for i in range(len(memory_view)): if memory_view[i] is None: block_size = 0 j = i while j < len(memory_view) and memory_view[j] is None: block_size += 1 j += 1 if block_size >= request_size and block_size < best_fit_size: best_fit_block = i best_fit_size = block_size if best_fit_block is not None: block_start = best_fit_block self.allocator.allocate_memory(block_start, request_size, process) else: raise AssertionError('allocation failed')

可以将内存块按照起始地址排序后，采用二叉树查找符合要求的内存块。这样可以将时间复杂度从O(n)降为O(logn)，提高内存分配的效率。以下是改写后的代码：

class MemoryManager:
    def __init__(self, allocator):
        self.allocator = allocator
        self.free_blocks = []  # 空闲内存块列表，按照起始地址排序

    def allocate(self, process, request_size):
        best_fit_block = None
        best_fit_size = float('inf')
        for block in self.free_blocks:
            if block.size >= request_size and block.size < best_fit_size:
                best_fit_block = block
                best_fit_size = block.size

        if best_fit_block is not None:
            block_start = best_fit_block.start
            self.allocator.allocate_memory(block_start, request_size, process)
            self.free_blocks.remove(best_fit_block)
            if best_fit_block.size > request_size:
                # 如果该内存块剩余空间大于请求大小，则将剩余空间加入空闲内存块列表中
                remaining_block = MemoryBlock(start=block_start + request_size, size=best_fit_block.size - request_size)
                self.insert_block(remaining_block)
        else:
            raise AssertionError('allocation failed')

    def insert_block(self, block):
        # 将内存块按照起始地址排序插入到空闲内存块列表中
        if not self.free_blocks:
            self.free_blocks.append(block)
            return

        left, right, parent = None, None, None
        node = self.free_blocks[0]
        while node is not None:
            parent = node
            if block.start < node.start:
                node, left, right = node.left, left, node
            else:
                node, left, right = node.right, node, right

        if block.start < parent.start:
            parent.left = block
        else:
            parent.right = block

        block.parent = parent
        block.left = left
        block.right = right

    def remove_block(self, block):
        # 从空闲内存块列表中删除内存块
        if not block.left and not block.right:
            # 如果该内存块没有子节点，则直接删除
            if block.parent is None:
                self.free_blocks = []
            elif block.parent.left == block:
                block.parent.left = None
            else:
                block.parent.right = None
        elif block.left and block.right:
            # 如果该内存块有两个子节点，则用其后继节点替代该节点
            successor = block.right
            while successor.left:
                successor = successor.left
            block.start = successor.start
            block.size = successor.size
            self.remove_block(successor)
        else:
            # 如果该内存块只有一个子节点，则将该子节点替代该节点
            child = block.left or block.right
            child.parent = block.parent
            if block.parent is None:
                self.free_blocks = [child]
            elif block.parent.left == block:
                block.parent.left = child
            else:
                block.parent.right = child

class MemoryBlock:
    def __init__(self, start, size):
        self.start = start
        self.size = size
        self.parent = None
        self.left = None
        self.right = None

需要注意的是，为了方便插入和删除操作，可以将每个内存块封装为一个MemoryBlock对象，并在对象中保存其父节点、左子节点和右子节点的引用。同时，需要实现insert_block和remove_block方法，以便在空闲内存块列表中插入和删除内存块。