scalable-cuckoo-filter-py
Python wrapper for sile/scalable_cuckoo_filter
See the crate that this wraps: https://docs.rs/scalable_cuckoo_filter/
This can be used as a probabilistic data structure for set membership tests. A cuckoo filter is similar to a Bloom filter, but it supports deletions.
This implementation is scalable, meaning that it can grow and shrink dynamically while maintinaing a low false positive rate.
Install
The package name is different to the import name. The install name is
cjrh-scalable-cuckoo-filterbut the import name isscf. This is because the package name must be unique on PyPI, andscalable-cuckoo-filterwas already taken.
Install:
$ pip install cjrh-scalable-cuckoo-filter
Import:
import scf
from scf import PyScalableCuckooFilter
Usage
Create the filter and add a few strings:
from scf import PyScalableCuckooFilter
scf = PyScalableCuckooFilter(1000, 0.001)
scf.insert("hello")
scf.insert("world")
Now we can do membership tests:
assert scf.might_contain("hello")
assert scf.might_contain("world")
assert not scf.might_contain("foo")
We can remove entries:
scf.remove("hello")
assert not scf.might_contain("hello")
We can save the filter to a file:
scf.write_to_file("filter.bin")
And load it back:
scf = PyScalableCuckooFilter.read_from_file("filter.bin")
assert scf.might_contain("world")
Types
These are the the types that can be used with the filter:
strbytesbytearrayintfloatbool- Iterables of the above types, with nesting.
For example, you can insert a list of integers:
scf = PyScalableCuckooFilter(1000, 0.001)
scf.insert([1, 2, 3]) # list
scf.insert([1, (2, [3])]) # list(tuple(list)))
However, note that all iterables will hash the same as each other. For example,
["foo", "bar"] and ("foo", "bar") will be regarded as the same key.
In fact, any iterable with the same elements will hash the same.
scf = PyScalableCuckooFilter(1000, 0.001)
scf.insert(range(3)) # iterable
assert scf.might_contain((0, 1, 2)) # tuple
1 maintainer
Metadata
1 maintainer
Release files for cjrh-scalable-cuckoo-filter 0.3.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| cjrh_scalable_cuckoo_filter-0.3.2.tar.gz | 8.9 kB | With provenance | Details |
Built distributions (wheels)
| File | Reset | |||
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| cjrh_scalable_cuckoo_filter-0.3.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl | PyPy 3.10 | PyPy 3.10 7.3 | Linux glibc 2.17+ ARM64 | Details |
| cjrh_scalable_cuckoo_filter-0.3.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl | PyPy 3.9 | PyPy 3.9 7.3 | Linux glibc 2.17+ ARM64 | Details |
| cjrh_scalable_cuckoo_filter-0.3.2-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl | PyPy 3.8 | PyPy 3.8 7.3 | Linux glibc 2.17+ ARM64 | Details |
| cjrh_scalable_cuckoo_filter-0.3.2-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl | PyPy 3.7 | PyPy 3.7 7.3 | Linux glibc 2.17+ ARM64 | Details |
| cjrh_scalable_cuckoo_filter-0.3.2-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.10 | abi3 | Linux glibc 2.17+ x86-64 | Details |
| cjrh_scalable_cuckoo_filter-0.3.2-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl | CPython 3.10 | abi3 | Linux glibc 2.17+ ARM64 | Details |
Total release size: 1.7 MB
Release files / cjrh_scalable_cuckoo_filter-0.3.2.tar.gz
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