No project description provided

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for finnrg from gravatar.com finnrg Avatar for ikoruk from gravatar.com ikoruk Avatar for jugmac00 from gravatar.com jugmac00 Avatar for sn3rd from gravatar.com sn3rd

Unverified details

These details have not been verified by PyPI
Meta
  • Requires: Python >=3.8
Classifiers
Report project as malware

Project description

ml-kem-rs

Python wrapper around the ml-kem library using PyO3, which implements the Module-Lattice-Based Key-Encapsulation Mechanism Standard (formerly known as Kyber) as described in FIPS 203 using pure Rust.

Usage

This library currently provides the three core functions for a key encapsulation mechanism: mlk768_generate, mlkem768_encapsulate and mlkem768_decapsulate.

from ml_kem_rs import mlkem768_generate, mlkem768_encapsulate, mlkem768_decapsulate

dk, ek = mlkem768_generate()
ciphertext, ss1 = mlkem768_encapsulate(ek)
ss2 = mlkem768_decapsulate(dk, ciphertext)

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for finnrg from gravatar.com finnrg Avatar for ikoruk from gravatar.com ikoruk Avatar for jugmac00 from gravatar.com jugmac00 Avatar for sn3rd from gravatar.com sn3rd

Unverified details

These details have not been verified by PyPI
Meta
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

0.2.1

0.2.0

This version

0.1.2

0.1.1

0.1.0

Download files

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

Source Distribution

ml_kem_rs-0.1.2.tar.gz (8.0 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

ml_kem_rs-0.1.2-cp313-cp313t-win_amd64.whl (122.8 kB view details)

Uploaded CPython 3.13tWindows x86-64

ml_kem_rs-0.1.2-cp38-abi3-win_arm64.whl (137.7 kB view details)

Uploaded CPython 3.8+Windows ARM64

ml_kem_rs-0.1.2-cp38-abi3-win_amd64.whl (126.1 kB view details)

Uploaded CPython 3.8+Windows x86-64

ml_kem_rs-0.1.2-cp38-abi3-win32.whl (123.8 kB view details)

Uploaded CPython 3.8+Windows x86

ml_kem_rs-0.1.2-cp38-abi3-musllinux_1_2_x86_64.whl (470.4 kB view details)

Uploaded CPython 3.8+musllinux: musl 1.2+ x86-64

ml_kem_rs-0.1.2-cp38-abi3-musllinux_1_2_i686.whl (504.5 kB view details)

Uploaded CPython 3.8+musllinux: musl 1.2+ i686

ml_kem_rs-0.1.2-cp38-abi3-musllinux_1_2_armv7l.whl (541.6 kB view details)

Uploaded CPython 3.8+musllinux: musl 1.2+ ARMv7l

ml_kem_rs-0.1.2-cp38-abi3-musllinux_1_2_aarch64.whl (453.8 kB view details)

Uploaded CPython 3.8+musllinux: musl 1.2+ ARM64

ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (269.0 kB view details)

Uploaded CPython 3.8+manylinux: glibc 2.17+ x86-64

ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl (281.1 kB view details)

Uploaded CPython 3.8+manylinux: glibc 2.17+ s390x

ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (402.9 kB view details)

Uploaded CPython 3.8+manylinux: glibc 2.17+ ppc64le

ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (266.6 kB view details)

Uploaded CPython 3.8+manylinux: glibc 2.17+ ARMv7l

ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (278.4 kB view details)

Uploaded CPython 3.8+manylinux: glibc 2.17+ ARM64

ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.whl (288.2 kB view details)

Uploaded CPython 3.8+manylinux: glibc 2.5+ i686

ml_kem_rs-0.1.2-cp38-abi3-macosx_11_0_arm64.whl (241.1 kB view details)

Uploaded CPython 3.8+macOS 11.0+ ARM64

ml_kem_rs-0.1.2-cp38-abi3-macosx_10_12_x86_64.whl (239.5 kB view details)

Uploaded CPython 3.8+macOS 10.12+ x86-64

File details

Details for the file ml_kem_rs-0.1.2.tar.gz.

File metadata

  • Download URL: ml_kem_rs-0.1.2.tar.gz
  • Upload date:
  • Size: 8.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for ml_kem_rs-0.1.2.tar.gz
Algorithm Hash digest
SHA256 22cee8d6a006b2db503c10aa374436812aa69f91b010027404fc3a0dd2745a4b
MD5 15f2f2ef24a35f3dd1e4b3776fbc2f91
BLAKE2b-256 d9e5ca3483395b0106e9ce552b21eef476892c8087c8a3473c9b5bbbbafd6aa0

See more details on using hashes here.

File details

Details for the file ml_kem_rs-0.1.2-cp313-cp313t-win_amd64.whl.

File metadata

  • Download URL: ml_kem_rs-0.1.2-cp313-cp313t-win_amd64.whl
  • Upload date:
  • Size: 122.8 kB
  • Tags: CPython 3.13t, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for ml_kem_rs-0.1.2-cp313-cp313t-win_amd64.whl
Algorithm Hash digest
SHA256 612b369d85610659fb889f9a15637e7a3c1c290d507a9146114d6c90848c22e6
MD5 5b18f2f9b2fea130aeee31b0581a5fe5
BLAKE2b-256 9517d1a20d5acf0890654cccaadd36b296991466933c48abddcfdf64bac58962

See more details on using hashes here.

File details

Details for the file ml_kem_rs-0.1.2-cp38-abi3-win_arm64.whl.

File metadata

  • Download URL: ml_kem_rs-0.1.2-cp38-abi3-win_arm64.whl
  • Upload date:
  • Size: 137.7 kB
  • Tags: CPython 3.8+, Windows ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for ml_kem_rs-0.1.2-cp38-abi3-win_arm64.whl
Algorithm Hash digest
SHA256 a13ccdd9bb5a3c57f0386877842d3f46700290fe139c8763e4672a9d6aaea14a
MD5 8fb24db287d2ad6a730559f459bbfc71
BLAKE2b-256 fd827eb64cdbf68bc8eb61084a11e4d260dc21f509029b9d2599b87cf8e085b4

See more details on using hashes here.

File details

Details for the file ml_kem_rs-0.1.2-cp38-abi3-win_amd64.whl.

File metadata

  • Download URL: ml_kem_rs-0.1.2-cp38-abi3-win_amd64.whl
  • Upload date:
  • Size: 126.1 kB
  • Tags: CPython 3.8+, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for ml_kem_rs-0.1.2-cp38-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 f5053f7e46e00b49193ddbc19157bdcddd08bf04d0a5d85842c9272578a56418
MD5 fda4306b8e576d8093ef725fcdccfb02
BLAKE2b-256 dfe0895b5710563c184883270947b32e0b2b391298aeda3ee78b64fd2a0ae8f0

See more details on using hashes here.

File details

Details for the file ml_kem_rs-0.1.2-cp38-abi3-win32.whl.

File metadata

  • Download URL: ml_kem_rs-0.1.2-cp38-abi3-win32.whl
  • Upload date:
  • Size: 123.8 kB
  • Tags: CPython 3.8+, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for ml_kem_rs-0.1.2-cp38-abi3-win32.whl
Algorithm Hash digest
SHA256 f2e0339dd56fbbc899b6eb52e5af04f20a6da6e9365b37e50c99a6b99d9b23e5
MD5 b2edae76abde2277de1148d826ccc23c
BLAKE2b-256 1c6e3fa1d0b478ad774f9ef454f5ec12979b36ee01798b1993cff844db7de2d7

See more details on using hashes here.

File details

Details for the file ml_kem_rs-0.1.2-cp38-abi3-musllinux_1_2_x86_64.whl.

File metadata

  • Download URL: ml_kem_rs-0.1.2-cp38-abi3-musllinux_1_2_x86_64.whl
  • Upload date:
  • Size: 470.4 kB
  • Tags: CPython 3.8+, musllinux: musl 1.2+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for ml_kem_rs-0.1.2-cp38-abi3-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 04cea67ea37490bf3a3c8a319b36d9d0cdac694cfe2832bc62934155e09494e1
MD5 c623444c48d9c8774c925fa23e7c77c8
BLAKE2b-256 db052aeb96cabb5c9bbeb1991493dd09fc39d3bf135212dbedbd9935c2ae928d

See more details on using hashes here.

File details

Details for the file ml_kem_rs-0.1.2-cp38-abi3-musllinux_1_2_i686.whl.

File metadata

  • Download URL: ml_kem_rs-0.1.2-cp38-abi3-musllinux_1_2_i686.whl
  • Upload date:
  • Size: 504.5 kB
  • Tags: CPython 3.8+, musllinux: musl 1.2+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for ml_kem_rs-0.1.2-cp38-abi3-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 c8834c323fed7b03267838cddc8c2c1e4da987dad0cb93644151dabb7cf4aa53
MD5 08590a5dd6824ed2fc81acbbac27ae1f
BLAKE2b-256 8867c9096a8a4518e9520a9b2a5749d30fa09bde50407778a5b0acc1482f3a46

See more details on using hashes here.

File details

Details for the file ml_kem_rs-0.1.2-cp38-abi3-musllinux_1_2_armv7l.whl.

File metadata

  • Download URL: ml_kem_rs-0.1.2-cp38-abi3-musllinux_1_2_armv7l.whl
  • Upload date:
  • Size: 541.6 kB
  • Tags: CPython 3.8+, musllinux: musl 1.2+ ARMv7l
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for ml_kem_rs-0.1.2-cp38-abi3-musllinux_1_2_armv7l.whl
Algorithm Hash digest
SHA256 8af8af632d77bc4615b2c8ec950d36c8518b5010939f26187553412dc02f8e54
MD5 9c6d34e764dddcdf6391d437de9e875c
BLAKE2b-256 a8da52940af275f220c04a572067e2e68db9fea9101e318942d2092038c8dd7e

See more details on using hashes here.

File details

Details for the file ml_kem_rs-0.1.2-cp38-abi3-musllinux_1_2_aarch64.whl.

File metadata

  • Download URL: ml_kem_rs-0.1.2-cp38-abi3-musllinux_1_2_aarch64.whl
  • Upload date:
  • Size: 453.8 kB
  • Tags: CPython 3.8+, musllinux: musl 1.2+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for ml_kem_rs-0.1.2-cp38-abi3-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 3feaf45b7c565314bac263cda7fc5bc08a00c2297dcdba55b77dceb4245bc56f
MD5 1230048e45de78b9a129d7103d0e2b6f
BLAKE2b-256 4330d75e07c83d6cb9ffb665bbe0ed61a57922e9a82140fbbd2ef85517e12907

See more details on using hashes here.

File details

Details for the file ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 269.0 kB
  • Tags: CPython 3.8+, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bd768a1e8645649abb119f4a854a72da7a4991f04f7beec8421286e8bc471239
MD5 a5cd244f8e628fb2f7f4102e3bec14d5
BLAKE2b-256 6886555dee87bc4eb2c2974cd7ea55cc214db852833a3f926e68eabb146dc669

See more details on using hashes here.

File details

Details for the file ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

  • Download URL: ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl
  • Upload date:
  • Size: 281.1 kB
  • Tags: CPython 3.8+, manylinux: glibc 2.17+ s390x
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 7f2fdfa7f49851746a7e403151fa9c3b9add4e2289b4d67989b125eb369ecbb7
MD5 d344bd6b5d929132a56982e7bff817f4
BLAKE2b-256 70ed45786224f7b15c826b6e1956dda9af58cc382010f409daeae5c57c15bc95

See more details on using hashes here.

File details

Details for the file ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

  • Download URL: ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
  • Upload date:
  • Size: 402.9 kB
  • Tags: CPython 3.8+, manylinux: glibc 2.17+ ppc64le
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 812a2ec8de217d17ac50d5b39b7f2ea418b6d3a7063cbf856a1c1204903caf41
MD5 bb08d865b68195f5a177dfe0afff6384
BLAKE2b-256 7a6afcb90a27a6d6cf8c7a72b62476709ded82588a1b94c902d9c849912496b5

See more details on using hashes here.

File details

Details for the file ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

  • Download URL: ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
  • Upload date:
  • Size: 266.6 kB
  • Tags: CPython 3.8+, manylinux: glibc 2.17+ ARMv7l
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 ce392d99cbee7ea4517b243995506774c75b8085b9fa8d3dc22dcf9d1c885bb4
MD5 fe030ef1524779ee8bdb75319ce3cf58
BLAKE2b-256 a4bf68655d83e2910932ff6adb6026b5374c8880147db978d1260114cc7a3877

See more details on using hashes here.

File details

Details for the file ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

  • Download URL: ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
  • Upload date:
  • Size: 278.4 kB
  • Tags: CPython 3.8+, manylinux: glibc 2.17+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4671e32c0a64c6442aac5dadf81ea0177edd529e45f3353e087c3f5583aae4ac
MD5 017a13de5ee1c6f233ad0b28310a1871
BLAKE2b-256 9ad846ef5f3dab7cf91f943e732e30e0652059fd4305cf4271320f1291b3b897

See more details on using hashes here.

File details

Details for the file ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

  • Download URL: ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.whl
  • Upload date:
  • Size: 288.2 kB
  • Tags: CPython 3.8+, manylinux: glibc 2.5+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for ml_kem_rs-0.1.2-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 763ccc213c55d88a15961757056bed980c2d5bf17f929b0045ddd50a2c3c37b6
MD5 7f0ad8c698d507d4b3721f60c9fe1ac6
BLAKE2b-256 9113e6c5f654df468ff7d1b3aaebc84f6ee7591a3b4079a9de3ea8b63301b5c4

See more details on using hashes here.

File details

Details for the file ml_kem_rs-0.1.2-cp38-abi3-macosx_11_0_arm64.whl.

File metadata

  • Download URL: ml_kem_rs-0.1.2-cp38-abi3-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 241.1 kB
  • Tags: CPython 3.8+, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for ml_kem_rs-0.1.2-cp38-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ca116d5ccfb57a975de3eadaa026a70e5dae93072fc478c33add7ff376a1f32e
MD5 dfa402e559f2e81f5017d840ef800810
BLAKE2b-256 7963307a1f499cb58edd04068cde6bb4ff71baeebe6368363e95467c8503f894

See more details on using hashes here.

File details

Details for the file ml_kem_rs-0.1.2-cp38-abi3-macosx_10_12_x86_64.whl.

File metadata

  • Download URL: ml_kem_rs-0.1.2-cp38-abi3-macosx_10_12_x86_64.whl
  • Upload date:
  • Size: 239.5 kB
  • Tags: CPython 3.8+, macOS 10.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for ml_kem_rs-0.1.2-cp38-abi3-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 11950350eafbd2a9a70f4de76c4c32a5e1d5a39002bec974e05bdc1417cb9f46
MD5 cf41d9014aead4cd763f69bae39d6289
BLAKE2b-256 797ce2d6c2fe9ac9b0712f101103b27b394224878b88a17ac6e0da4a2d19719f

See more details on using hashes here.

Supported by

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