bloompy库的CountingBloomFilter使用说明及示例

1、使用说明： 

Help on class CountingBloomFilter in module bloompy:

class CountingBloomFilter(BloomFilter)
 |  CountingBloomFilter(error_rate=0.001, element_num=10000, bit_num=None)
 |  
 |  Method resolution order:
 |      CountingBloomFilter
 |      BloomFilter
 |      builtins.object
 |  
 |  Methods defined here:
 |  
 |  __init__(self, error_rate=0.001, element_num=10000, bit_num=None)
 |      Initialize self.  See help(type(self)) for accurate signature.
 |  
 |  add(self, element)
 |      query the element status in the filter and add it into the filter
 |  
 |  copy(self)
 |  
 |  delete(self, element)
 |      query the element status in the filter and delete it from the filter
 |  
 |  exists(self, element)
 |  
 |  to_pack(self)
 |  
 |  ----------------------------------------------------------------------
 |  Class methods defined here:
 |  
 |  fromfile(path) from builtins.type
 |  
 |  ----------------------------------------------------------------------
 |  Methods inherited from BloomFilter:
 |  
 |  __and__(self, other)
 |  
 |  __contains__(self, item)
 |  
 |  __len__(self)
 |  
 |  __or__(self, other)
 |  
 |  tofile(self, path, mode='wb')
 |  
 |  ----------------------------------------------------------------------
 |  Data descriptors inherited from BloomFilter:
 |  
 |  __dict__
 |      dictionary for instance variables (if defined)
 |  
 |  __weakref__
 |      list of weak references to the object (if defined)

None

2、示例：

import bloompy
cbf  = bloompy.CountingBloomFilter(error_rate=0.001,element_num=10**3)
print("", cbf.add(12))
print("", cbf.exists(12))

# 将过滤器存储在一个文件里
cbf.tofile('filename.suffix')

# 从一个文件里恢复过滤器，自动识别过滤器的种类
recovered_bf = bloompy.get_filter_fromfile('filename.suffix')
print("recovered_bf:", recovered_bf)

# 或者使用过滤器类的类方法 'fromfile' 来进行过滤器的复原，对应的类只能恢复对应的过滤器
recovered_bf1 = bloompy.CountingBloomFilter.fromfile('你的文件存储路径/filename.suffix')
print("recovered_bf1:", recovered_bf1)

# 已插入的元素个数
print("cbf.count:", cbf.count)

# 过滤器的容量
print("cbf.capacity:", cbf.capacity)

# 过滤器的位向量
print("cbf.bit_array:", cbf.bit_array)
# 过滤器位数组长度
print("cbf.bit_num:", cbf.bit_num)

# 过滤器的哈希种子，默认是素数
print("cbf.seeds:", cbf.seeds)
print("len(cbf.seeds):", len(cbf.seeds))

# 过滤器哈希函数个数
print("cbf.hash_num:", cbf.hash_num)