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A library for Partially Homomorphic Encryption in Python

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Bumps [pypa/gh-action-pypi-publish](https://github.com/pypa/gh-action-pypi-publish) from 1.5.0 to 1.5.1. Release notes Sourced from pypa/gh-action-pypi-publish's releases. v1.5.1 What's Changed Fixed printing out the dist hashes when packages_dir is a wildcard value. — by @​meowmeowmeowcat...

dependencies
github_actions

## What's Changed * Fix issues with overflows by @nbgl in https://github.com/data61/python-paillier/pull/73 * Default keysize increased to 3072 by @hardbyte in https://github.com/data61/python-paillier/pull/66 * Using gmpy2's mulmod to accelerate the mulmod...

I wonder whether it has the ability to deal with float numbers. Actually I run alternative_base.py in examples folder and changed the values of a and b to float numbers...

question

Hi, Currently, when I encrypte array, I iterate over all elements of the array, which is really time consuming. I believe a capability to encrype an array at module level...

enhancement
state: Needs Design

`decrease_exponent_to` contains this line: https://github.com/n1analytics/python-paillier/blob/955f8c0bfa9623be15b75462b121d28acf70f04b/phe/paillier.py#L592 It basically just uses the default EncodedNumber.BASE, irrespective of the actual base that was used to encode that particular encrypted number. See also the problem...

bug

Hi, I try to run this example using phe and numpy, but have Overflow when iterate some loops Can you help me? Thanks! ```python import phe as paillier import numpy...

Can use appveyor.com. For example see [scikit-learn/appveyor.yml](https://github.com/scikit-learn/scikit-learn/blob/master/appveyor.yml)

effort2: medium (day)
best practice

Currently to use **python-paillier** users import from `phe.paillier`, instead I think we should rename the module namespace as `paillier`.

question

Any chance for a backport to python 2.7 ? We have a partial backport with almost all of the functions that we need working ... ... but we are still...

proposal
P4: nice to have
effort2: medium (day)

Relevant for `alternative_base.py` and `benchmark.py`