def get_status(self, player): distance = self.get_player_distance_direction(player)[0] if distance <= self.attack_radius and self.can_attack: if self.status != 'attack': self.frame_index = 0 self.status = 'attack' elif distance <= self.notice_radius: self.status = 'move' else: self.status = 'idle'
时间: 2024-04-27 13:23:52 浏览: 7
这段代码是一个类的方法,它用于获取怪物的状态。
首先,它调用另一个方法`get_player_distance_direction`来获取怪物和玩家之间的距离,然后将距离存储在变量`distance`中。
接下来,它检查距离是否小于或等于怪物的攻击半径,并且怪物可以攻击。如果是,它将怪物的状态设置为'attack'。如果当前状态不是'attack',则将帧索引重置为0,以便从第一帧开始播放攻击动画。
如果距离小于或等于怪物的警戒半径,但大于攻击半径,它将怪物的状态设置为'move',表示怪物正在移动向玩家。
否则,如果距离大于警戒半径,它将怪物的状态设置为'idle',表示怪物处于空闲状态。
相关问题
编写函数并调用class ShoppingCart: def __init__(self): self.items = {} def add_item(self, item, quantity): if item in self.items: self.items[item] += quantity else: self.items[item] = quantity def remove_item(self, item, quantity): if item in self.items: if self.items[item] <= quantity: del self.items[item] else: self.items[item] -= quantity def get_total(self): total = 0 for item, quantity in self.items.items(): total += item.get_price() * quantity return total def get_item_count(self): count = 0 for quantity in self.items.values(): count += quantity return count def get_items(self): return self.items
好的,以下是你需要的代码:
class ShoppingCart:
def __init__(self):
self.items = {}
def add_item(self, item, quantity):
if item in self.items:
self.items[item] += quantity
else:
self.items[item] = quantity
def remove_item(self, item, quantity):
if item in self.items:
if self.items[item] <= quantity:
del self.items[item]
else:
self.items[item] -= quantity
def get_total(self):
total = 0
for item, quantity in self.items.items():
total += item.get_price() * quantity
return total
def get_item_count(self):
count = 0
for quantity in self.items.values():
count += quantity
return count
def get_items(self):
return self.items
你可以通过以下方式调用它:
cart = ShoppingCart()
cart.add_item(item1, 2)
cart.add_item(item2, 1)
cart.remove_item(item1, 1)
total = cart.get_total()
count = cart.get_item_count()
items = cart.get_items()
请注意,item1和item2是你自己定义的商品对象,get_price()是商品对象的一个方法,用于获取商品价格。
程序无法执行,修改class Processor(): def __init__(self): self._inspect_step = int(cfg.get('PROCESS', 'INSPECT_STEP')) def capture_img(self): global aco aco = aco + 1 self._cam.stream_on() raw_image = self._cam.data_stream[0].get_image() if raw_image is None: print("Getting image failed.\n") return None print("Frame ID: {} Height: {} Width: {} Count: {}\n" .format(raw_image.get_frame_id(), raw_image.get_height(), raw_image.get_width(), aco - 2)) numpy_image = raw_image.get_numpy_array() if numpy_image is None: return None img = Image.fromarray(numpy_image, 'L') if self._issave: picfile = '{}/{}.bmp'.format(self._picpath, self._piccount) self._piccount = self._piccount + 1 img.save(picfile) if self._isshow: w, h = img.size scale = min(1.0 * IMG_RESIZE_W / w, 1.0 * IMG_RESIZE_H / h) self._img = ImageTk.PhotoImage(image=img.resize((int(w * scale), int(h * scale)), Image.ANTIALIAS)) self._show_cb(self._img) self._cam.stream_off() return img def process_img(self, img): return PROC_OK def inspect(self): print("process2") time.sleep(1) def rotate(self): count = 0 aco = 0 self.threadsignal = 0 while self._running: v = self._dgl.qpin(ROT) if len(v) > 0: count = count + sum(v) if count > self._inspect_step: aco += 1 img = self.capture_img() count = count - self._inspect_step if __name__ == '__main__': task2 = multiprocessing.Process(target=self.inspect) task2.start() task1 = multiprocessing.Process(target=self.rotate) task1.start()
在这段代码中,有几个问题可以被改进。首先,类 `Processor` 中的全局变量 `aco` 可能会导致并发问题,在多进程环境下应该避免使用全局变量。其次,代码中出现了 `time.sleep()`,这会阻塞当前进程并造成性能瓶颈,应该尽量避免使用。
以下是可能的改进方案:
1. 将 `aco` 变量改为实例变量,避免多进程之间的并发问题。
2. 使用 `Queue` 或其他进程间通信机制替代全局变量,避免多进程之间的竞争。
3. 将 `time.sleep()` 改为使用定时器或者事件,避免阻塞进程并提高程序的性能。
4. 在多进程环境中,使用 `if __name__ == '__main__':` 来避免创建子进程时出现递归调用的问题。
以下是修改后的代码示例:
```python
import multiprocessing
from queue import Queue
import time
class Processor():
def __init__(self):
self._inspect_step = int(cfg.get('PROCESS', 'INSPECT_STEP'))
self._aco = 0
self._queue = Queue()
def capture_img(self):
self._aco += 1
self._cam.stream_on()
raw_image = self._cam.data_stream[0].get_image()
if raw_image is None:
print("Getting image failed.\n")
return None
print("Frame ID: {} Height: {} Width: {} Count: {}\n".format(raw_image.get_frame_id(), raw_image.get_height(), raw_image.get_width(), self._aco - 2))
numpy_image = raw_image.get_numpy_array()
if numpy_image is None:
return None
img = Image.fromarray(numpy_image, 'L')
if self._issave:
picfile = '{}/{}.bmp'.format(self._picpath, self._piccount)
self._piccount = self._piccount + 1
img.save(picfile)
if self._isshow:
w, h = img.size
scale = min(1.0 * IMG_RESIZE_W / w, 1.0 * IMG_RESIZE_H / h)
self._img = ImageTk.PhotoImage(image=img.resize((int(w * scale), int(h * scale)), Image.ANTIALIAS))
self._show_cb(self._img)
self._cam.stream_off()
return img
def process_img(self, img):
return PROC_OK
def inspect(self):
print("process2")
while self._running:
time.sleep(1)
self._queue.put("task")
def rotate(self):
count = 0
while self._running:
v = self._dgl.qpin(ROT)
if len(v) > 0:
count = count + sum(v)
if count > self._inspect_step:
self._aco += 1
img = self.capture_img()
count = count - self._inspect_step
try:
task = self._queue.get(block=False)
if task == "task":
print("processing task")
except:
pass
if __name__ == '__main__':
p = Processor()
p._running = True
task2 = multiprocessing.Process(target=p.inspect)
task2.start()
task1 = multiprocessing.Process(target=p.rotate)
task1.start()
```
请注意,这里只是对原始代码的一些修改建议,并不能保证这样的修改能够完全解决问题。在实际环境中,还需要根据具体情况进行调整和优化。