EXCLUDE_SRCS += src/service/sv_flash/spi_flash_ids.c

好的，你的第一个问题是关于一个Makefile中的语句，其中EXCLUDE_SRCS是一个变量，+=表示在原有的值上追加一个新值，src/service/sv_flash/spi_flash_ids.c是要被排除在编译过程之外的源文件路径。这个Makefile可能用于编译一个带有Flash存储器的嵌入式系统的固件或者应用程序。排除这个源文件的原因可能是它在其他地方已经被编译过了，或者因为它与当前的编译环境不兼容。

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cur_dir = '/'.join(os.path.abspath(__file__).split('/')[:-1]) self.data_path = os.path.join(cur_dir, 'data/medical.json')

As an AI language model, I do not have access to the entire context of the code. However, I can explain what this code snippet does.

This code creates a variable called `cur_dir` that stores the absolute path of the directory where the current Python file is located. It does this by using the `os.path.abspath(__file__)` function to get the absolute path of the current file, and then splitting the path by the forward slash character ('/') and slicing the resulting list to exclude the last element (which is the file name). The `join()` function is then used to concatenate the remaining elements of the list with forward slashes.

The code then creates another variable called `data_path` that stores the path to a file called 'medical.json'. This file is located in a subdirectory called 'data' within the directory that the current Python file is located. The `os.path.join()` function is used to concatenate the `cur_dir` variable with the relative path to the 'data/medical.json' file.

def is_avaliable(self): real_cap = min(self.init_capacity, self.bandwidth_max) bandwidth_next = real_cap / (self.connected_users + 1) if bandwidth_next < self.bandwidth_guaranteed: return False return True 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 中的最小带宽保障策略实现

这里给出的代码是一个基于最小带宽保障的连接策略。具体实现是通过计算当前可用的带宽是否能够满足连接该用户的需求来判断是否连接。其中，实际可用带宽取初始化带宽和最大带宽的最小值，然后计算连接该用户后下一个用户可用的带宽，如果这个带宽小于保障带宽，则拒绝连接，否则连接成功。这个策略的目的是确保每个用户都能够获得最小保障带宽，避免网络拥塞现象发生。