Skip to main content

Implementation of Umbral proxy reencryption algorithm

Project description

Python bindings for umbral-pre

pypi package Docs License

This repo contains the Python bindings for the main Rust project.

Build

You will need to have setuptools-rust installed. Then, for development you can just do pip install -e . as usual.

Building Linux wheels must be done via Docker (makefile under construction).

$ docker pull quay.io/pypa/manylinux2014_x86_64
$ docker run --rm -v `pwd`/..:/io quay.io/pypa/manylinux2014_x86_64 /io/umbral-pre-python/build-wheels.sh

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

umbral_pre-0.6.0.tar.gz (21.1 kB view details)

Uploaded Source

Built Distributions

umbral_pre-0.6.0-cp311-cp311-win_amd64.whl (286.6 kB view details)

Uploaded CPython 3.11 Windows x86-64

umbral_pre-0.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

umbral_pre-0.6.0-cp311-cp311-macosx_10_9_x86_64.whl (408.8 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

umbral_pre-0.6.0-cp310-cp310-win_amd64.whl (286.6 kB view details)

Uploaded CPython 3.10 Windows x86-64

umbral_pre-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

umbral_pre-0.6.0-cp310-cp310-macosx_10_9_x86_64.whl (408.8 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

umbral_pre-0.6.0-cp39-cp39-win_amd64.whl (286.6 kB view details)

Uploaded CPython 3.9 Windows x86-64

umbral_pre-0.6.0-cp39-cp39-manylinux2010_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

umbral_pre-0.6.0-cp39-cp39-manylinux1_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.9

umbral_pre-0.6.0-cp39-cp39-macosx_10_9_x86_64.whl (408.8 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

umbral_pre-0.6.0-cp38-cp38-win_amd64.whl (287.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

umbral_pre-0.6.0-cp38-cp38-manylinux2010_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

umbral_pre-0.6.0-cp38-cp38-manylinux1_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.8

umbral_pre-0.6.0-cp38-cp38-macosx_10_9_x86_64.whl (408.3 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

umbral_pre-0.6.0-cp37-cp37m-win_amd64.whl (287.0 kB view details)

Uploaded CPython 3.7m Windows x86-64

umbral_pre-0.6.0-cp37-cp37m-manylinux2010_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

umbral_pre-0.6.0-cp37-cp37m-manylinux1_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.7m

umbral_pre-0.6.0-cp37-cp37m-macosx_10_9_x86_64.whl (408.3 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file umbral_pre-0.6.0.tar.gz.

File metadata

  • Download URL: umbral_pre-0.6.0.tar.gz
  • Upload date:
  • Size: 21.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for umbral_pre-0.6.0.tar.gz
Algorithm Hash digest
SHA256 43628b258b95fe9b2bb143a041c1b065ff7ad4744fb58493d9be42db76b82f52
MD5 56246d7bd9b2e5db660ad618f7d3b6f0
BLAKE2b-256 0b0dd7dd13437fe337cef32e51da8e29d7fc5c6da16de6091d902b37a1efd817

See more details on using hashes here.

File details

Details for the file umbral_pre-0.6.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.6.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 9418f3b4a2a58ad078a9b5f3fc971aa0b5369446ee3dd87bb211818d71529b65
MD5 3163f7ed90c444611507d8dbcdd2e053
BLAKE2b-256 f7be86439de7aafe9eb86ae2bfcd088a392ee8f9c7911707fc743415aae72257

See more details on using hashes here.

File details

Details for the file umbral_pre-0.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ddf6bfb73d93db94aa2e32953e6c4dd6f060182b88e168ec3eeb19e9598a6e77
MD5 5d908056f6ce5a7bd188515bee2d163b
BLAKE2b-256 3b23ae05096becd7e06f630fbe6d7ac36ebfd2d467d9aeac70e844ed70dfdc09

See more details on using hashes here.

File details

Details for the file umbral_pre-0.6.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.6.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5c4f3e40e53501f386abccfbf28e9b81c4ccf8dc0a76cf8dc1501b2b3370fd8c
MD5 9fdf89e1a27df13f0241ba424255b58c
BLAKE2b-256 0bcff2a7d1e1810142e86628e9d04a5636a405562230f0573cecd5b31a705d46

See more details on using hashes here.

File details

Details for the file umbral_pre-0.6.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.6.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 3bb629091fe8137301572713cfa85d8d2acdcb9309747eb5bb15a2020d320305
MD5 653e775e2e18773f0f5e97ace90185fd
BLAKE2b-256 304a5a5a282301f8aefb045cd1ac17df0977504a6e3686f817aee501226c67be

See more details on using hashes here.

File details

Details for the file umbral_pre-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ce91922b767f549a01a11a754d429b72dad07522fd81d9043643eeedf4cf3cc5
MD5 bbbd860c608f9b6cd68afab88bad6c84
BLAKE2b-256 2e0100c48596ac4f4fbc8d869632a7fa8c9ac6df5de7d4bbc32ba77f35cec9d6

See more details on using hashes here.

File details

Details for the file umbral_pre-0.6.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.6.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 047931af4eeee1d501aa5897d26be13d8e543836ded94537e420738fa21e61f3
MD5 c5ae50163a0e9712d00e51bbfd45035b
BLAKE2b-256 9107097f5f3092602da611d6380a62ba37bc129db2b11db2572a4b2803dc940f

See more details on using hashes here.

File details

Details for the file umbral_pre-0.6.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: umbral_pre-0.6.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 286.6 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for umbral_pre-0.6.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 a9a38b92fe23b00737677fb54ee4bb09218e391058ad9c1c0aa85f28b0c76208
MD5 ee51e35ee8e684118cda04ceba37412d
BLAKE2b-256 75cf8cae169c73b06b2e0d713043ddf7dbde83579a11e03085e0d1e5935482af

See more details on using hashes here.

File details

Details for the file umbral_pre-0.6.0-cp39-cp39-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.6.0-cp39-cp39-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 39cb8017e9ec62ad02b43164c907847c53af48643bb2754b48a54227166767ce
MD5 cbd6942b73b9d217e1efe991a8a3f2a0
BLAKE2b-256 b0d2d25a7a73449c3800ac868ba476c1d52cf874642bf9c71fa9f9e7a9ff16a4

See more details on using hashes here.

File details

Details for the file umbral_pre-0.6.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.6.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 56fd3182969bd3666482b58a8c31e6d84695deed6fc758cc978eded6150ca84f
MD5 d3cf325ec16a92774e9eefe2b4d0b4ee
BLAKE2b-256 ac00be17f588de1c7def69225ba9621bfbfc2ecfc25aa223a76e5b0354bc9ba5

See more details on using hashes here.

File details

Details for the file umbral_pre-0.6.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.6.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 9027f2ce297bf4a41bbe6a8c2c571fdfa9c87fea813d024c5705a525a3d07dc3
MD5 ceb787c9e5fb347340833079bb03becb
BLAKE2b-256 05f3447ccbb1bee90218be89f6c89e0b8903b3ec12939eb96d20c77fd2a60018

See more details on using hashes here.

File details

Details for the file umbral_pre-0.6.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: umbral_pre-0.6.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 287.0 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for umbral_pre-0.6.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 04b31e018682f7c0935b7496c84764d0ab43f19621d82d17a9162a1c7d42f2c2
MD5 91e1f973c32aa4e2dc28d7f93d7cd15c
BLAKE2b-256 249f114910ac1a999d36bf4aebdaac21487d8b6c8477260b3e5410ee0e654be6

See more details on using hashes here.

File details

Details for the file umbral_pre-0.6.0-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.6.0-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 77d74d42f90733c904deb5d1490a85d9e9031d764eb720180f336ee6a3884f8a
MD5 c57161e686b67346155198b9b9ad9521
BLAKE2b-256 3ad64f288d31a04982183b863dee7aba6a6efd6fdb05eeb994fe635a4d1c8d70

See more details on using hashes here.

File details

Details for the file umbral_pre-0.6.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.6.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 7a9b346f9dabd4d194de8e652189496c1ecf546c570d6582e1c8aa259f83ebcb
MD5 256f90af70a9c6a9c2640b188be98988
BLAKE2b-256 7a2fa9b8c317fad91e9d3d8a461716ede29d50f470915d5f19160415a6796a80

See more details on using hashes here.

File details

Details for the file umbral_pre-0.6.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.6.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 df62ad5560099a5419dbd0f96fa6e835907a71900a08593fe0d492ff05b69348
MD5 c77d9cfeeb711a4312e1c4535ff7e8eb
BLAKE2b-256 6aca41efc38fc70c4033382746dd779dce5bd717e06d7a988b6a2cf533cf6eab

See more details on using hashes here.

File details

Details for the file umbral_pre-0.6.0-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.6.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 89e4d2bb3ee1cfeeb7ebf06465cadfb787ca3763fdf62e46e5e880bc4dd50e4d
MD5 fe67f78db90e2bd1314d7ee3c8fcacd5
BLAKE2b-256 c2fa6cc12541850eac953abc3a4990065302b25811232784bfbe027ec620405c

See more details on using hashes here.

File details

Details for the file umbral_pre-0.6.0-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.6.0-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 af77e64e46c85028827cafe48b87be0443c533ab42f36c31132012e501e2d269
MD5 efdb2c13760c0d578387e299098e27fa
BLAKE2b-256 812a9fb1208eb14e39b245df5c0d6fd60a4f2d02d880cd38809c3ca3c93b6f18

See more details on using hashes here.

File details

Details for the file umbral_pre-0.6.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.6.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 98c7493e5d917d99e1bd62a3d8620dd952cfce9c04ca35a56e08e5aba9a6888f
MD5 765af92d06f5014397d5e2d8ca2e2243
BLAKE2b-256 45762941a9cdf1811f528c8c16b0a898983e25a758362eb77bd6eb9ea7cb0ae8

See more details on using hashes here.

File details

Details for the file umbral_pre-0.6.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.6.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 55606565f71ef93310215040936dcd447b2aeef98c4a4351933eb22008146d76
MD5 e21828d3904fef0337899cbea373f003
BLAKE2b-256 b2e6948aeedf79e662a95df682bf5b8a410f27c0edfa66cd837825ee52a3dc90

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page