bloom-filter
A pure python bloom filter (low storage requirement, probabilistic set datastructure) is provided. It is known to work on CPython 3.x, Pypy, and Jython.
Includes mmap, in-memory and disk-seek backends.
This project builds on drs-bloom-filter and bloom_filter_mod. Credits and links can be found in AUTHORS.md.
Usage
The user specifies the desired maximum number of elements and the desired maximum false positive probability, and the module calculates the rest.
from bloom_filter2 import BloomFilter
# instantiate BloomFilter with custom settings,
# max_elements is how many elements you expect the filter to hold.
# error_rate defines accuracy; You can use defaults with
# `BloomFilter()` without any arguments. Following example
# is same as defaults:
bloom = BloomFilter(max_elements=10000, error_rate=0.1)
# Test whether the bloom-filter has seen a key:
assert "test-key" not in bloom
# Mark the key as seen
bloom.add("test-key")
# Now check again
assert "test-key" in bloom
1 maintainer
Metadata
1 maintainer
Release files for bloom-filter2 2.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| bloom-filter2-2.0.0-1.tar.gz | 6.6 kB | Without provenance | Details for bloom-filter2-2.0.0-1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| bloom_filter2-2.0.0-py3-none-any.whl | Python 3 | none | any | Details for bloom_filter2-2.0.0-py3-none-any.whl |
Total release size: 13.3 kB
Release files / bloom-filter2-2.0.0-1.tar.gz
| Download URL | bloom-filter2-2.0.0-1.tar.gz |
|---|---|
| Size | 6.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
310e5d3aa15be6e3d2285a7111f60cc44a1f500159412f2c72d155f43037cefd
|
|
BLAKE2b-256 checksum How to use checksums |
2b5d8de4a849ebe212217e6d8f4798a6918d4035e741c44730da81272f170b47
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.5
|
Release files / bloom_filter2-2.0.0-py3-none-any.whl
| Download URL | bloom_filter2-2.0.0-py3-none-any.whl |
|---|---|
| Size | 6.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f9d3a3a44ae917ab9c13f71b542ac88b863f0cf4e64afbca48777cf0d5310c93
|
|
BLAKE2b-256 checksum How to use checksums |
52d7871408c1c1230af64eb00e2064f6e8a065ae652f17f010b3f4f102e5fbac
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.5
|
Security for bloom-filter2 2.0.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
