用import re写代码,这个函数的输入包含两个参数: 进程——请求内存的进程,你不需要为进程做任何事情,只需要传递它给self。allocator。Allocate_memory '函数。 Request_size——一个整数,表示这个进程请求多少内存块。 第一行返回'memory_view',一个内存块元组。 如果一个内存块是空闲的,列表中相应的项将是None,否则该项将是进程对象。内存的总大小为256块。 您需要根据'memory_view'和'request_size'来决定分配给进程的内存。 当你做决定时,传递内存的起始地址(即。'block_start')以及'request_size'和'process'到函数'self.allocator。Allocate_memory '(见下文)。 内存块将根据进程对象中的定义自动回收:self.allocator。Allocate_memory (block_start, request_size, process)
时间: 2024-04-01 16:36:42 浏览: 26
import re
class MemoryManager:
def __init__(self, allocator):
self.allocator = allocator
def allocate(self, process, request_size):
memory_view = self.allocator.memory_view()
# Find the best fit block for the process
best_fit_block = None
best_fit_size = float('inf')
for i in range(len(memory_view)):
if memory_view[i] is None:
# Check if the block is free
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:
# Allocate memory for the process
block_start = best_fit_block
self.allocator.allocate_memory(block_start, request_size, process)
else:
# No suitable block found, allocation failed
raise AssertionError('allocation failed')
def allocate_memory(self, block_start, request_size, process):
self.allocator.allocate_memory(block_start, request_size, process)