请编写程序分别使用首次适应算法和最佳适应算法模 拟上述内存分区的分配和回收过程,要求在每次分配和回收后显示空 闲内存分区链的情况,输出本次分配和回收的查找开销。

抱歉，由于题目中没有给出内存分区的初始状态，无法编写完整的程序模拟分配和回收过程。以下是使用首次适应算法和最佳适应算法实现内存分配的简单示例，供参考。

首次适应算法示例：

# 初始化内存分区，空闲内存大小为 640KB
memory = [{'start': 0, 'size': 640, 'free': True}]

# 首次适应算法实现内存分配
def first_fit(size):
    for block in memory:
        if block['free'] and block['size'] >= size:
            block['free'] = False
            if block['size'] > size:
                # 分裂内存分区
                block1 = {'start': block['start'], 'size': size, 'free': False}
                block2 = {'start': block['start']+size, 'size': block['size']-size, 'free': True}
                memory.insert(memory.index(block)+1, block2)
                memory[memory.index(block)] = block1
            print('分配成功，查找开销：', memory.index(block))
            return block['start']
    print('分配失败')
    return -1

# 回收内存
def release(start):
    for block in memory:
        if block['start'] == start:
            block['free'] = True
            # 合并相邻空闲内存分区
            if memory.index(block) > 0 and memory[memory.index(block)-1]['free']:
                block1 = memory[memory.index(block)-1]
                block2 = memory.pop(memory.index(block))
                block1['size'] += block2['size']
                block1['free'] = True
            if memory.index(block) < len(memory)-1 and memory[memory.index(block)+1]['free']:
                block1 = memory.pop(memory.index(block))
                block2 = memory[memory.index(block)]
                block2['start'] = block1['start']
                block2['size'] += block1['size']
                block2['free'] = True
            print('回收成功，查找开销：', memory.index(block))
            return
    print('回收失败')

# 测试
print(memory)
first_fit(128)
print(memory)
first_fit(256)
print(memory)
release(0)
print(memory)

最佳适应算法示例：

# 初始化内存分区，空闲内存大小为 640KB
memory = [{'start': 0, 'size': 640, 'free': True}]

# 最佳适应算法实现内存分配
def best_fit(size):
    best_block = None
    for block in memory:
        if block['free'] and block['size'] >= size:
            if best_block is None or block['size'] < best_block['size']:
                best_block = block
    if best_block is None:
        print('分配失败')
        return -1
    best_block['free'] = False
    if best_block['size'] > size:
        # 分裂内存分区
        block1 = {'start': best_block['start'], 'size': size, 'free': False}
        block2 = {'start': best_block['start']+size, 'size': best_block['size']-size, 'free': True}
        memory.insert(memory.index(best_block)+1, block2)
        memory[memory.index(best_block)] = block1
    print('分配成功，查找开销：', memory.index(best_block))
    return best_block['start']

# 回收内存
def release(start):
    for block in memory:
        if block['start'] == start:
            block['free'] = True
            # 合并相邻空闲内存分区
            if memory.index(block) > 0 and memory[memory.index(block)-1]['free']:
                block1 = memory[memory.index(block)-1]
                block2 = memory.pop(memory.index(block))
                block1['size'] += block2['size']
                block1['free'] = True
            if memory.index(block) < len(memory)-1 and memory[memory.index(block)+1]['free']:
                block1 = memory.pop(memory.index(block))
                block2 = memory[memory.index(block)]
                block2['start'] = block1['start']
                block2['size'] += block1['size']
                block2['free'] = True
            print('回收成功，查找开销：', memory.index(block))
            return
    print('回收失败')

# 测试
print(memory)
best_fit(128)
print(memory)
best_fit(256)
print(memory)
release(0)
print(memory)