Class<BdRfpAmountDTO> handover = BdRfpAmountDTO.class;解释下这段代码
时间: 2023-04-01 08:04:03 浏览: 58
这段代码定义了一个名为handover的变量,其类型为Class<BdRfpAmountDTO>,即BdRfpAmountDTO类的Class对象。这个变量可以用于获取BdRfpAmountDTO类的信息,例如获取类的构造函数、方法、字段等。
相关问题
List<Map<String, Object>> columns = Arrays.stream(handover.getDeclaredFields()).map(field -> { Map<String, Object> map = new HashMap<>(3); String name = field.getAnnotation(ApiModelProperty.class).value(); if (tableindex.contains(name)) { map.put("title", name); map.put("dataIndex", field.getName()); map.put("key", field.getName()); } return map; }).filter(o-> o.size()>0 ).collect(Collectors.toList());解释下这段代码
这段代码是使用 Java 8 的 Stream API 对一个类的属性进行处理,将其转换为一个包含 Map 的 List。其中,Map 中包含三个键值对,分别为 title、dataIndex 和 key,对应的值分别为属性的注解值、属性名和属性名。在转换过程中,还进行了过滤,只保留包含 tableindex 中的属性。最终,返回一个 List<Map<String, Object>> 类型的结果。
def connect(self): s = self.get_slice() if self.connected: return # increment connect attempt self.stat_collector.incr_connect_attempt(self) if s.is_avaliable(): s.connected_users += 1 self.connected = True print(f'[{int(self.env.now)}] Client_{self.pk} [{self.x}, {self.y}] connected to slice={self.get_slice()} @ {self.base_station}') return True else: self.assign_closest_base_station(exclude=[self.base_station.pk]) if self.base_station is not None and self.get_slice().is_avaliable(): # handover self.stat_collector.incr_handover_count(self) elif self.base_station is not None: # block self.stat_collector.incr_block_count(self) else: pass # uncovered print(f'[{int(self.env.now)}] Client_{self.pk} [{self.x}, {self.y}] connection refused to slice={self.get_slice()} @ {self.base_station}') return False def disconnect(self): if self.connected == False: print(f'[{int(self.env.now)}] Client_{self.pk} [{self.x}, {self.y}] is already disconnected from slice={self.get_slice()} @ {self.base_station}') else: slice = self.get_slice() slice.connected_users -= 1 self.connected = False print(f'[{int(self.env.now)}] Client_{self.pk} [{self.x}, {self.y}] disconnected from slice={self.get_slice()} @ {self.base_station}') return not self.connected def start_consume(self): s = self.get_slice() amount = min(s.get_consumable_share(), self.usage_remaining) # Allocate resource and consume ongoing usage with given bandwidth s.capacity.get(amount) print(f'[{int(self.env.now)}] Client_{self.pk} [{self.x}, {self.y}] gets {amount} usage.') self.last_usage = amount def release_consume(self): s = self.get_slice() # Put the resource back if self.last_usage > 0: # note: s.capacity.put cannot take 0 s.capacity.put(self.last_usage) print(f'[{int(self.env.now)}] Client_{self.pk} [{self.x}, {self.y}] puts back {self.last_usage} usage.') self.total_consume_time += 1 self.total_usage += self.last_usage self.usage_remaining -= self.last_usage self.last_usage = 0中的资源分配
要将这些函数修改为最小容量的资源分配,需要进行以下更改:
1. 在 `is_avaliable` 函数中,将 `bandwidth_next` 的计算方式修改为 `real_cap / (self.connected_users + 1) >= self.bandwidth_min`,即下一个用户的带宽大于等于最小容量。
2. 在 `start_consume` 函数中,将 `amount` 的计算方式修改为 `min(s.get_consumable_share(), self.usage_remaining, self.bandwidth_min)`,即需要分配的资源量为可用资源、剩余需求和最小容量的最小值。
修改后的代码如下:
```
def connect(self):
s = self.get_slice()
if self.connected:
return
# increment connect attempt
self.stat_collector.incr_connect_attempt(self)
if s.is_avaliable():
s.connected_users += 1
self.connected = True
print(f"[{int(self.env.now)}] Client_{self.pk} [{self.x}, {self.y}] connected to slice={self.get_slice()} @ {self.base_station}")
return True
else:
self.assign_closest_base_station(exclude=[self.base_station.pk])
if self.base_station is not None and self.get_slice().is_avaliable():
# handover
self.stat_collector.incr_handover_count(self)
elif self.base_station is not None:
# block
self.stat_collector.incr_block_count(self)
else:
pass # uncovered
print(f"[{int(self.env.now)}] Client_{self.pk} [{self.x}, {self.y}] connection refused to slice={self.get_slice()} @ {self.base_station}")
return False
def disconnect(self):
if not self.connected:
print(f"[{int(self.env.now)}] Client_{self.pk} [{self.x}, {self.y}] is already disconnected from slice={self.get_slice()} @ {self.base_station}")
else:
slice = self.get_slice()
slice.connected_users -= 1
self.connected = False
print(f"[{int(self.env.now)}] Client_{self.pk} [{self.x}, {self.y}] disconnected from slice={self.get_slice()} @ {self.base_station}")
return not self.connected
def start_consume(self):
s = self.get_slice()
amount = min(s.get_consumable_share(), self.usage_remaining, self.bandwidth_min)
s.capacity.get(amount)
print(f"[{int(self.env.now)}] Client_{self.pk} [{self.x}, {self.y}] gets {amount} usage.")
self.last_usage = amount
def release_consume(self):
s = self.get_slice()
if self.last_usage > 0:
s.capacity.put(self.last_usage)
print(f"[{int(self.env.now)}] Client_{self.pk} [{self.x}, {self.y}] puts back {self.last_usage} usage.")
self.total_consume_time += 1
self.total_usage += self.last_usage
self.usage_remaining -= self.last_usage
self.last_usage = 0
def is_avaliable(self):
real_cap = min(self.init_capacity, self.bandwidth_max)
return real_cap / (self.connected_users + 1) >= self.bandwidth_min
```
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