def isGameOver(board, size): assert isinstance(size, int) num_cells = size * size for i in range(num_cells-1): if board[i] != i: return False return True
时间: 2024-02-14 10:06:05 浏览: 21
这段代码的作用是判断一个给定的方格棋盘是否已经结束,即棋盘上的每个方格是否都已经填上了相应的数字或符号。其中,参数 board 是一个包含整数或符号的列表,表示方格棋盘上每个方格的状态;参数 size 是整数类型,表示方格棋盘的大小(即行数或列数)。函数会先计算出方格棋盘的总格数 num_cells,然后从第一个格子开始遍历整个棋盘,如果某个格子没有填上相应的数字或符号,则返回 False。如果遍历完整个棋盘后都没有发现未填写的格子,则返回 True,表示棋盘已经结束。
相关问题
#256个block memory_size = 256 #pid进程号 class Process: def __init__(self, pid, block, duration): self.__block = block self.__duration = duration self.__pid = pid self.__memory = None @property def pid(self): return self.__pid @property def block(self): return self.__block @property def duration(self): return self.__duration def set_memory(self, memory_start, memory_end): self.__memory = (memory_start, memory_end) def get_memory(self): return self.__memory class MemoryAllocator: def __init__(self, memory_size): self.__memory_blocks = [None] * memory_size def memory_view(self): '''return the array of the use of memory blocks.''' return tuple(self.__memory_blocks) def allocate_memory(self, block_start, length, process): for block_id in range(block_start, block_start+length): assert self.__memory_blocks[block_id] is None, 'tend to allocate occupied blocks' self.__memory_blocks[block_id] = process process.set_memory(block_start, length) def free_memory(self, process): assert process.get_memory() is not None, 'process should already hold memory blocks' block_start, length = process.get_memory() for block_id in range(block_start, block_start+length): assert self.__memory_blocks[block_id] == process, 'the orresponding memory blocks should be assigned to the process' self.__memory_blocks[block_id] = None
这段代码实现了一个简单的内存分配器和进程类。其中,内存分配器使用一个数组来表示内存块的使用情况,每个进程对象都包含一个指向内存块的引用。
这段代码的实现还可以进行一些改进:
1. 内存分配器可以使用更高效的数据结构,比如位图,来表示内存块的使用情况。
2. 进程类可以添加一个方法来释放内存,而不是在内存分配器中实现。
3. 内存分配器可以添加一个方法来查找可用的内存块,而不是在进程类中实现。
4. 进程类可以将内存块的起始位置和长度作为属性,而不是在set_memory方法中设置。
下面是改进后的代码:
```
class Process:
def __init__(self, pid, duration):
self.__pid = pid
self.__duration = duration
self.__memory_start = None
self.__memory_length = None
@property
def pid(self):
return self.__pid
@property
def duration(self):
return self.__duration
@property
def memory_start(self):
return self.__memory_start
@property
def memory_length(self):
return self.__memory_length
def set_memory(self, start, length):
self.__memory_start = start
self.__memory_length = length
def release_memory(self):
self.__memory_start = None
self.__memory_length = None
class MemoryAllocator:
def __init__(self, memory_size):
self.__memory_blocks = [False] * memory_size
def find_free_memory(self, length):
for i in range(len(self.__memory_blocks) - length + 1):
if all(not self.__memory_blocks[j] for j in range(i, i + length)):
return i
return None
def allocate_memory(self, process):
length = process.duration
start = self.find_free_memory(length)
assert start is not None, 'allocation failed'
for i in range(start, start + length):
self.__memory_blocks[i] = True
process.set_memory(start, length)
def free_memory(self, process):
start = process.memory_start
length = process.memory_length
for i in range(start, start + length):
self.__memory_blocks[i] = False
process.release_memory()
```
改进后的代码更加清晰和易于维护,也更加高效。
if(args.recur_pose): assert(args.crop_size == 224)
This code is checking whether a particular argument called "recur_pose" is true or not. If it is true, then it is checking whether another argument called "crop_size" is equal to 224. If it is not equal to 224, then the code will raise an assertion error. This code is likely used for some image processing or computer vision task where a specific crop size is necessary when using recursive pose estimation.