fuggetaboutit | counting bloom , a timing bloom

by mynameisfiber Python Version: 0.4.0.dev4 License: No License

X-Ray Key Features Code Snippets(2)Community Discussions Vulnerabilities Install Support

kandi X-RAY | fuggetaboutit Summary

fuggetaboutit is a Python library. fuggetaboutit has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install fuggetaboutit' or download it from GitLab, GitHub, PyPI.

auto-scaling probabilistic time windowed set inclusion datastructure.

Support

Quality

Security

License

Reuse

Support

fuggetaboutit has a low active ecosystem.

It has 38 star(s) with 5 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

fuggetaboutit has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of fuggetaboutit is 0.4.0.dev4

Quality

fuggetaboutit has no bugs reported.

Security

fuggetaboutit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

fuggetaboutit does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

fuggetaboutit releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed fuggetaboutit and discovered the below as its top functions. This is intended to give you an instant insight into fuggetaboutit implemented functionality, and help decide if they suit your requirements.

Load bloom bloom filter
Load a timing bloom bloom from a file
Discover the bloom files in the given path
Get the path to the data files
Return True if the key contains a key
Calculate the tick range of the ring
Generate the indexes for the given key
Return a test function that evaluates to the interval
Decrement all bloom pools
Adds a new bloom filter
Try to shrink the bloom pool
Remove empty blo
Saves the data to disk
Removes a directory tree
Return a dict of the meta data
Return the path to the data path
Performs the decay decay
Returns the range of the ticks
Returns a function that returns a test
Saves the bloom filter
Return a dictionary of meta data
Removes N elements from the bucket
Flush the bloom data
Add a key to the histogram
Decrement the histogram
Setup the decay

Get all kandi verified functions for this library.

fuggetaboutit Key Features

No Key Features are available at this moment for fuggetaboutit.

fuggetaboutit Examples and Code Snippets

what is?

Python

Lines of Code : 16

License : No License

Copy

from fuggetaboutit import TimingBloomFilter

cache = TimingBloomFilter(capacity=1000000, decay_time=24*60*60).start()

def handle_message(phone_number):
    if phonenumber in cache:
        print "I have seen this before: ", phone_number
    cache.ad

speed

Python

Lines of Code : 10

License : No License

Copy

$ python -m fuggetaboutit.benchmark
Benchmarking blooms with size 100000
(baseline timing of keygeneration: 9.84e-06s, already subtracted from results)
.-------------------------------------------------------------------------------.
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Community Discussions

No Community Discussions are available at this moment for fuggetaboutit.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install fuggetaboutit

You can install using 'pip install fuggetaboutit' or download it from GitLab, GitHub, PyPI.
You can use fuggetaboutit like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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