Last updated:
0 purchases
bloomfilterpy 1.1.0
bloomfilter-py
Overview
Yet another Bloomfilter implementation in Python, compatible with Java's Guava library.
I was looking for a Python library which is capable of reading what Bloomfilter of Java's Guava library serializes and is also able to output byte array which is recognizable by Java. But unfortunately failed. Hence I developed this library by borrowing how Guava implements Bloomfilter serialization/deserialization a lot to deal with Bloomfilters on both Python and Java sides.
As for Bloomfilter usage in Java world, please refer to this post.
Here's a brief introduction to Bloomfilter.
Requirements
Python 3.8+
Install
pip install bloomfilter-py
Usage Examples
Basic Usage
>>> from bloomfilter import BloomFilter
>>> bloom_filter = BloomFilter(expected_insertions=500, err_rate=0.01)
>>> for i in range(100):
... bloom_filter.put(i)
...
>>> 1 in bloom_filter
True
>>> 100 in bloom_filter
False
>>>
Serialize Bloomfilter
You can easily serialize BloomFilter instance to a byte array
>>> dumps = bloom_filter.dumps()
>>> with open("dumps.out", "wb") as f:
... f.write(dumps)
...
>>>
or to a hex string
>>> hex_str = bloom_filter.dumps_to_hex()
or to a base64 encoded bytes
base64_bytes = bloom_filter.dumps_to_base64()
Deserialize Bloomfilter
And you can easily initialize a BloomFilter instance from a byte array
>>> with open("dumps.out", "rb") as f:
... bf = BloomFilter.loads(f.read())
...
>>> 1 in bf
True
>>> 100 in bf
False
>>>
or from a hex string
>>> bf = BloomFilter.loads_from_hex(hex_str)
>>> 1 in bf
True
>>> 100 in bf
False
or from a base64 encoded bytes
>>> bf = BloomFilter.loads_from_base64(base64_bytes)
>>> 100 in bf
False
>>> 200 in bf
False
>>> 1 in bf
True
>>> 99 in bf
True
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
There are no reviews.