Implementation of Umbral proxy reencryption algorithm

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for damon_c from gravatar.com damon_c Avatar for derekpierre from gravatar.com derekpierre Avatar for jMyles from gravatar.com jMyles Avatar for KPrasch from gravatar.com KPrasch Avatar for Manticore from gravatar.com Manticore

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for damon_c from gravatar.com damon_c Avatar for derekpierre from gravatar.com derekpierre Avatar for jMyles from gravatar.com jMyles Avatar for KPrasch from gravatar.com KPrasch Avatar for Manticore from gravatar.com Manticore

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

0.11.0

This version

0.10.0

0.9.2

0.9.1

0.9.0

0.8.1

0.8.0

0.7.0

0.6.0

0.5.2

0.5.1 yanked

Reason this release was yanked:

Bug in Rust's k256 - see https://github.com/RustCrypto/elliptic-curves/issues/529

0.5.0 yanked

Reason this release was yanked:

Bug in Rust's k256 - see https://github.com/RustCrypto/elliptic-curves/issues/529

0.4.0

0.3.3

0.3.0

0.2.0

0.0.1

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-0.10.0.tar.gz (21.4 kB view details)

Uploaded Source

Built Distributions

umbral_pre-0.10.0-cp311-cp311-win_amd64.whl (356.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

umbral_pre-0.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

umbral_pre-0.10.0-cp311-cp311-macosx_10_9_x86_64.whl (488.0 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

umbral_pre-0.10.0-cp310-cp310-win_amd64.whl (356.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

umbral_pre-0.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

umbral_pre-0.10.0-cp310-cp310-macosx_10_9_x86_64.whl (488.0 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

umbral_pre-0.10.0-cp39-cp39-win_amd64.whl (357.1 kB view details)

Uploaded CPython 3.9 Windows x86-64

umbral_pre-0.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

umbral_pre-0.10.0-cp39-cp39-macosx_10_9_x86_64.whl (488.6 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

umbral_pre-0.10.0-cp38-cp38-win_amd64.whl (356.9 kB view details)

Uploaded CPython 3.8 Windows x86-64

umbral_pre-0.10.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

umbral_pre-0.10.0-cp38-cp38-macosx_10_9_x86_64.whl (488.6 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

umbral_pre-0.10.0-cp37-cp37m-win_amd64.whl (357.0 kB view details)

Uploaded CPython 3.7m Windows x86-64

umbral_pre-0.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

umbral_pre-0.10.0-cp37-cp37m-macosx_10_9_x86_64.whl (489.2 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file umbral_pre-0.10.0.tar.gz.

File metadata

  • Download URL: umbral_pre-0.10.0.tar.gz
  • Upload date:
  • Size: 21.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for umbral_pre-0.10.0.tar.gz
Algorithm Hash digest
SHA256 90f84470dbf7643c86810e0c54532fa408361ad6a6e0577e2d9a99a33d1d75dc
MD5 c002488cddc82c53dd6598d3ed732ae0
BLAKE2b-256 58bf4acabb9f5a2f85ffee2e24a9e72fb47d7fc0b8ff2a6636d844ba0d1703ac

See more details on using hashes here.

File details

Details for the file umbral_pre-0.10.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.10.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 2689a9afea45cc7f37b51e1e2d513b8003403ff07dd2613b821e6e27e24f3ca4
MD5 d517ff26f0d9239bac7caec1ca898f73
BLAKE2b-256 64f74e3e6baca116589c48d2592e52b9b1cf97b1edbbfb516228510960bedc06

See more details on using hashes here.

File details

Details for the file umbral_pre-0.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 abe3b157500e82f642cefd7813feaf4efb54f302354c144748e02619690a4c7f
MD5 00bed350dab940f42aef4297a6d48ad3
BLAKE2b-256 a614b4b76f3070fc688b6a55040b49e701deeee45c848c2da60cdb6aba6fe7a2

See more details on using hashes here.

File details

Details for the file umbral_pre-0.10.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.10.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 68065224faa35328ad5a20db9dd47be3d1e004993fa736a80a31095f447aff51
MD5 315c134fd6e5c1148bbbe90722543b45
BLAKE2b-256 0541889515ddb8fe8b65638e82d6ccdb9a4abd6fc8d5ffff2bf5eea2c39e5ef9

See more details on using hashes here.

File details

Details for the file umbral_pre-0.10.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.10.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 b16da535400d1c77d8af61b028bf322c9a53d99bb5b2f41c6517c88a4c378057
MD5 1e8a52abe0976b80744ebf294bbec3fc
BLAKE2b-256 16b4df78fb23959539002196c789f20f223fe23e6c5cbb4128f8cdbf5f6f5ef6

See more details on using hashes here.

File details

Details for the file umbral_pre-0.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1da1589a5a93b5cf5a172697171ad9f43c1d7d8f381277c781de5f2aec8da6cf
MD5 a2ff40ed5c0e6d5262971c2eb1cee030
BLAKE2b-256 c93547827c8cb35555823fe1ef793fedf1152e0dfdcdabe51b913bdcd8b4724b

See more details on using hashes here.

File details

Details for the file umbral_pre-0.10.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.10.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 82d3702589747ad8bcaec074df608492b34cd2fdb69bb581a94fde274dcae3ed
MD5 f9900677c3e285f93156aafd0f19f25f
BLAKE2b-256 9bc3ed6a29d95ae97f77d4bd7ff2c20b873dc4fb1f4ba3244ecc767663ad573a

See more details on using hashes here.

File details

Details for the file umbral_pre-0.10.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.10.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 b123e03000817f24981db87a62b741ea211acda382d5c06263bda849d5d993ed
MD5 609aa5776cdbc9752be40884be3bd320
BLAKE2b-256 d2f63b7d2e95f1b9350a04f0beea2ea0305f9c92d9672be5d3f0422d350da8db

See more details on using hashes here.

File details

Details for the file umbral_pre-0.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 483b3d1a66bcaccd0c4b693243f2288589681fc3ab84b5dbc78bf691962e5285
MD5 1d4cac6a17b78dd54f486928dc7fe4c0
BLAKE2b-256 77a8f5cccbe30863f03b12d99cdf8dea47705749b362301604cbddd3eae4666b

See more details on using hashes here.

File details

Details for the file umbral_pre-0.10.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.10.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 675c8a2bb5e7259a9b9e9dce7973abb239b1d9808b5425104b88574d651853fd
MD5 4259b6c83c69f9c4fd12384cf61e94dd
BLAKE2b-256 aeb83be0e166252740be78424332cf11d81a4f89e0230a5f0c1061fcaf689e26

See more details on using hashes here.

File details

Details for the file umbral_pre-0.10.0-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.10.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 b0245b7ecf66711238d12e3af058bb9c7a1745a78f66662a4f6746ea201a955d
MD5 c9830e2953cf74323a6fd7a0ce48e719
BLAKE2b-256 22fefea52c2035477e122db31aa5447e60210c8714aceeb7d12ad90f700c3507

See more details on using hashes here.

File details

Details for the file umbral_pre-0.10.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.10.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dac305e02b6e8038d3b2a5db0cec279b66896134af67a25c18ec527be07ea8af
MD5 d7fe59ef2d1f458e805fc3b55ef81017
BLAKE2b-256 df9b4f7ff619092eca343ce6634ebd49b13bcc9c530692f21f16db14c815b218

See more details on using hashes here.

File details

Details for the file umbral_pre-0.10.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.10.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 28641972b040cc9d67e350426d5a124eb6341034a48c9f045566d628b5fc1b7f
MD5 9566ee49d9210d0cb2653701a7eb0104
BLAKE2b-256 d04868d5372ff42b530af19aae52dff63f84da88dc64285de2743e4b5eec36b4

See more details on using hashes here.

File details

Details for the file umbral_pre-0.10.0-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.10.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 75c44b7b3b30e4660e26a98da89b8b09d446e141328580e54644ef2cca747c03
MD5 675a23f63864e933b36ae0efe4def66a
BLAKE2b-256 9690ebd318358dd9d060f1dda9a5f874ad91d2c94dbd12320ed5824698bc75ef

See more details on using hashes here.

File details

Details for the file umbral_pre-0.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c84e54e9151d85be886afb3ae18dd68035b4d6f286663401879045fbd816c69e
MD5 8e280927caed55729fd338f7ef66e4e9
BLAKE2b-256 c51337984c3e1124ab6976d199095b9cd6fc630e1a6c6893b3db0af9f9069e6e

See more details on using hashes here.

File details

Details for the file umbral_pre-0.10.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for umbral_pre-0.10.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 3ef71a978ad8af6d2d8d8e99dae6f910b7b6fe072e6bed4eeec45d9491c478d5
MD5 39f833836ed3683a9524b19666c68387
BLAKE2b-256 7fcc5aac47c01cb7e4d7c73c20b9e8c21ac43ef2952d3049e692a5678c068173

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