ShiftingBloomFilter 1.0

Implemenation of shifting bloom filter in python 3

Shifting Bloom filter implementation in python3.

Brief description

Bloom filter is a probabilistic test data structure that returns False if an object is not part of a set. When bloom filter returns True an object might or might not be part of a set. Shifting Bloom filter is an extension on Bloom fliter that allows for multiple set or multiset usecases.

Library description

This library is made up of 4 submodules, namely the ShiftingBloomFilter which contains the Shifting Bloom filter it self, utils which contains a set of utilities that are useful while using the set, exceptions which contain the exceptions associated with the bloom filter and visualiser which contains a graphic tool that can be used to inspect the filter.

API description

ShiftingBloomFilter

The filter supports following built-in methods: len(), bool() (True if not empty), str(), repr(), obj[index]

name	type	arguments	description
MULTISET	constant	N/A	constant value for initialising the filter to be used with multiset
MULTIPLE	constant	N/A	constant value for initialising the filter to be used with multiple sets
ShiftingBloomFilter(length)	class	length, hash_count, hash_source, mode, set_count	bloom filter with support for handling multisets or multiplesets
		length	the size of the underlying bytearrray which is used to represent the filter
		hash_count=len(algorithms_guaranteed)	amount of hashing functions to use. NOTE!: cannot be greater than the length of hash source
		hash_source=algorithms_guaranteed	a list of hashing functions to use.
		length_as_power=True	is length of filter expressed as power of 2 (True) or is it literal (False)
		mode=MULTIPLE	MULTIPLE if there are multiple sets or MULTISET if its one set but supporting multiple elements
		set_count=0	how many sets is this filter suppoused to support
obj.insert(item)	method	item, set_no=0	insert item into the filter with set_no (applicable for multiple sets only)
obj.check(item)	method	item	check if item is in the filter
obj.save2file()	method	filename=sbf.bin	save filter to file (binary)
obj.get_fpr()	method		get false postitive rate for current state of the filter
ShiftingBloomFilter.load_from_file()	static method	filename=sbf.bin	load filter from binary file

utils

name	type	arguments	description
CSVDataSet(filename)	class	filename, separator=','	Iterative reader for csv data sets
	built-ins		repr(), next()
RandomStringGenerator()	class	string_length=4, ascii_start=32, ascii_end=126, stream_length=...	a stream of random strings of given length
	built-ins		repr(), len(), next()
HashFunction(hash_base, salt)	class	hash_base, salt	wrapper around salted hashing function
	built-ins		repr(), obj()
HashFactory(hash_family, hash_count)	class	hash_family, hash_count	Produces a list of salted hash functions. hash_family is a base hash function from hashlib. hash_count is number of hash functions to create
obj.save2file()	method	filename=hashdata.bin	save HashFactory object to file.
HashFactory.load_from_file()	static method	filename=hashdata.bin	load HashFactory object from file
	built-ins		len(), repr(), next(), obj[index]

exceptions

name	type	arguments	description
SBFException()	Exception class		Top-level module excpetion
HashesUnavailableError(message)	Exception class	message	Exception raised when there is error related to hashing functions

ShiftingBloomFilter.visualiser

Tool for presenting how shifting bloom filter works. Can be used as debugger if needed.

name	type	arguments	description
Main()	class	title=ShiftingBloomFilter Visualiser, length=25, hash_count=None, hash_source=None, bloom=None, deepcopy=True, mode=MULTIPLE, no_sets=1	Main window of Visualiser.
		title	title for the visualiser window
		length	length of the filter
		hash_count	number of hashing functions to use
		hash_source	source of hash functions
		bloom	use existing bloom filter instead of creating new one (useful for debugging)
		deepcopy	work on copy of a given bloom filter
Main.run()	static method	title=ShiftingBloomFilter Visualiser, length=25, mode=MULTIPLE	Starts the visualiser