eth-bloom 0.5.2

Installation

$ pip install eth-bloom

Development

pip install -e . -r requirements-dev.txt

py.test tests

apt install pandoc

brew install pandoc

bumpversion $$VERSION_PART_TO_BUMP$$
git push && git push --tags
make release

Usage

The BloomFilter object

>>> from eth_bloom import BloomFilter
>>> b = BloomFilter()
>>> b'a value' in b  # check whether a value is present
False
>>> b.add(b'a value')  # add a single value
>>> b'a value' in b
True
>>> int(b)  # cast to an integer
3458628712844765018311492773359360516229024449585949240367644166080576879632652362184119765613545163153674691520749911733485693171622325900647078772681584616740134230153806267998022370194756399579977294154062696916779055028045657302214591620589415314367270329881298073237757853875497241510733954508399863880080986777555986663988492288946856978031023631618215522505971170427986911575695114157059398791122395379400594948096
>>> bin(b)  # cast to a binary string
'0b100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000'

You can also add an iterable of items to a bloom filter.

>>> b = BloomFilter()
>>> b'value-a' in b
False
>>> b'value-b' in b
False
>>> b.extend([b'value-a', b'value-b'])
>>> b'value-a' in b
True
>>> b'value-b' in b
True

You can initialize a bloom filter from an iterable of byte strings.

>>> b = BloomFilter.from_iterable([b'value-a', b'value-b'])  # initialize from an iterable of values.
>>> b'value-a' in b
True
>>> b'value-b' in b
True

You can initialize a bloom filter from the integer representation of the bloom bits.

>>> b = BloomFilter(3458628712844765018311492773359360516229024449585949240367644166080576879632652362184119765613545163153674691520749911733485693171622325900647078772681584616740134230153806267998022370194756399579977294154062696916779055028045657302214591620589415314367270329881298073237757853875497241510733954508399863880080986777555986663988492288946856978031023631618215522505971170427986911575695114157059398791122395379400594948096)
>>> b'a value' in b
True

You can also merge bloom filters

>>> from eth_bloom import BloomFilter
>>> b1 = BloomFilter()
>>> b2 = BloomFilter()
>>> b1.add(b'a')
>>> b1.add(b'common')
>>> b2.add(b'b')
>>> b2.add(b'common')
>>> b'a' in b1
True
>>> b'b' in b1
False
>>> b'common' in b1
True
>>> b'a' in b2
False
>>> b'b' in b2
True
>>> b'common' in b2
True
>>> b3 = b1 + b2  # using addition
>>> b'a' in b3
True
>>> b'b' in b3
True
>>> b'common' in b3
True
>>> b4 = b1 | b2  # or using bitwise or
>>> b'a' in b4
True
>>> b'b' in b4
True
>>> b'common' in b4
True
>>> b1 |= b2  # or using in-place operations (works with += too)
>>> b'a' in b1
True
>>> b'b' in b1
True
>>> b'common' in b1
True