Python binding of SOLVESPACE geometry constraint solver

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for realthunder from gravatar.com realthunder

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Gnu General Public License 3.0
  • Author: Zheng, Lei
Report project as malware

Project description

Python Binding of SOLVESPACE Constraint Solver

py_slvs is a Python binding of the 2D/3D geometry constraint solver from a forked version of SOLVESPACE.

The fork is based on SOLVESPACE v2.3, with some memory optimization on Linux build. The Python binding is done using SWIG and modeled straight from SOLVESPACE's solver library (see here and here), and is thus considered fairly low level.

The binding is currently used to implement the primiary solver for FreeCAD assembly3 workbench

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for realthunder from gravatar.com realthunder

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Gnu General Public License 3.0
  • Author: Zheng, Lei

Release history Release notifications | RSS feed

This version

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

Download files

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

Source Distribution

py_slvs-1.0.6.tar.gz (2.4 MB view details)

Uploaded Source

Built Distributions

py_slvs-1.0.6-cp313-cp313-win_amd64.whl (287.9 kB view details)

Uploaded CPython 3.13 Windows x86-64

py_slvs-1.0.6-cp313-cp313-win32.whl (243.2 kB view details)

Uploaded CPython 3.13 Windows x86

py_slvs-1.0.6-cp313-cp313-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.13 musllinux: musl 1.2+ x86-64

py_slvs-1.0.6-cp313-cp313-musllinux_1_2_i686.whl (1.4 MB view details)

Uploaded CPython 3.13 musllinux: musl 1.2+ i686

py_slvs-1.0.6-cp313-cp313-musllinux_1_2_aarch64.whl (1.3 MB view details)

Uploaded CPython 3.13 musllinux: musl 1.2+ ARM64

py_slvs-1.0.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (326.8 kB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ x86-64

py_slvs-1.0.6-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl (302.7 kB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ i686

py_slvs-1.0.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (295.3 kB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ ARM64

py_slvs-1.0.6-cp313-cp313-macosx_11_0_arm64.whl (205.7 kB view details)

Uploaded CPython 3.13 macOS 11.0+ ARM64

py_slvs-1.0.6-cp313-cp313-macosx_10_13_x86_64.whl (237.7 kB view details)

Uploaded CPython 3.13 macOS 10.13+ x86-64

py_slvs-1.0.6-cp313-cp313-macosx_10_13_universal2.whl (425.3 kB view details)

Uploaded CPython 3.13 macOS 10.13+ universal2 (ARM64, x86-64)

py_slvs-1.0.6-cp312-cp312-win_amd64.whl (288.2 kB view details)

Uploaded CPython 3.12 Windows x86-64

py_slvs-1.0.6-cp312-cp312-win32.whl (243.5 kB view details)

Uploaded CPython 3.12 Windows x86

py_slvs-1.0.6-cp312-cp312-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ x86-64

py_slvs-1.0.6-cp312-cp312-musllinux_1_2_i686.whl (1.4 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ i686

py_slvs-1.0.6-cp312-cp312-musllinux_1_2_aarch64.whl (1.3 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ ARM64

py_slvs-1.0.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (326.8 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

py_slvs-1.0.6-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl (302.7 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ i686

py_slvs-1.0.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (295.3 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

py_slvs-1.0.6-cp312-cp312-macosx_11_0_arm64.whl (205.6 kB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

py_slvs-1.0.6-cp312-cp312-macosx_10_13_x86_64.whl (237.7 kB view details)

Uploaded CPython 3.12 macOS 10.13+ x86-64

py_slvs-1.0.6-cp312-cp312-macosx_10_13_universal2.whl (425.3 kB view details)

Uploaded CPython 3.12 macOS 10.13+ universal2 (ARM64, x86-64)

py_slvs-1.0.6-cp311-cp311-win_amd64.whl (269.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

py_slvs-1.0.6-cp311-cp311-win32.whl (225.3 kB view details)

Uploaded CPython 3.11 Windows x86

py_slvs-1.0.6-cp311-cp311-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ x86-64

py_slvs-1.0.6-cp311-cp311-musllinux_1_2_i686.whl (1.4 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ i686

py_slvs-1.0.6-cp311-cp311-musllinux_1_2_aarch64.whl (1.3 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ ARM64

py_slvs-1.0.6-cp311-cp311-musllinux_1_1_x86_64.whl (831.7 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

py_slvs-1.0.6-cp311-cp311-musllinux_1_1_i686.whl (868.8 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

py_slvs-1.0.6-cp311-cp311-musllinux_1_1_aarch64.whl (785.5 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARM64

py_slvs-1.0.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (316.3 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

py_slvs-1.0.6-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (290.5 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

py_slvs-1.0.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (283.2 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

py_slvs-1.0.6-cp311-cp311-macosx_11_0_arm64.whl (187.3 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

py_slvs-1.0.6-cp311-cp311-macosx_10_9_x86_64.whl (204.5 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

py_slvs-1.0.6-cp311-cp311-macosx_10_9_universal2.whl (387.0 kB view details)

Uploaded CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)

py_slvs-1.0.6-cp310-cp310-win_amd64.whl (269.4 kB view details)

Uploaded CPython 3.10 Windows x86-64

py_slvs-1.0.6-cp310-cp310-win32.whl (225.2 kB view details)

Uploaded CPython 3.10 Windows x86

py_slvs-1.0.6-cp310-cp310-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ x86-64

py_slvs-1.0.6-cp310-cp310-musllinux_1_2_i686.whl (1.4 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ i686

py_slvs-1.0.6-cp310-cp310-musllinux_1_2_aarch64.whl (1.3 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ ARM64

py_slvs-1.0.6-cp310-cp310-musllinux_1_1_x86_64.whl (831.4 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

py_slvs-1.0.6-cp310-cp310-musllinux_1_1_i686.whl (868.9 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

py_slvs-1.0.6-cp310-cp310-musllinux_1_1_aarch64.whl (785.5 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

py_slvs-1.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (316.3 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

py_slvs-1.0.6-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (290.6 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

py_slvs-1.0.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (283.3 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

py_slvs-1.0.6-cp310-cp310-macosx_11_0_arm64.whl (187.6 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

py_slvs-1.0.6-cp310-cp310-macosx_10_9_x86_64.whl (204.7 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

py_slvs-1.0.6-cp310-cp310-macosx_10_9_universal2.whl (387.6 kB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

py_slvs-1.0.6-cp39-cp39-win_amd64.whl (269.5 kB view details)

Uploaded CPython 3.9 Windows x86-64

py_slvs-1.0.6-cp39-cp39-win32.whl (225.1 kB view details)

Uploaded CPython 3.9 Windows x86

py_slvs-1.0.6-cp39-cp39-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ x86-64

py_slvs-1.0.6-cp39-cp39-musllinux_1_2_i686.whl (1.4 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ i686

py_slvs-1.0.6-cp39-cp39-musllinux_1_2_aarch64.whl (1.3 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ ARM64

py_slvs-1.0.6-cp39-cp39-musllinux_1_1_x86_64.whl (831.4 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

py_slvs-1.0.6-cp39-cp39-musllinux_1_1_i686.whl (868.9 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

py_slvs-1.0.6-cp39-cp39-musllinux_1_1_aarch64.whl (785.4 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

py_slvs-1.0.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (316.3 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

py_slvs-1.0.6-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (289.7 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

py_slvs-1.0.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (283.1 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

py_slvs-1.0.6-cp39-cp39-macosx_11_0_arm64.whl (187.6 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

py_slvs-1.0.6-cp39-cp39-macosx_10_9_x86_64.whl (204.8 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

py_slvs-1.0.6-cp39-cp39-macosx_10_9_universal2.whl (387.6 kB view details)

Uploaded CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64)

py_slvs-1.0.6-cp38-cp38-win_amd64.whl (269.5 kB view details)

Uploaded CPython 3.8 Windows x86-64

py_slvs-1.0.6-cp38-cp38-win32.whl (225.2 kB view details)

Uploaded CPython 3.8 Windows x86

py_slvs-1.0.6-cp38-cp38-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.2+ x86-64

py_slvs-1.0.6-cp38-cp38-musllinux_1_2_i686.whl (1.4 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.2+ i686

py_slvs-1.0.6-cp38-cp38-musllinux_1_2_aarch64.whl (1.3 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.2+ ARM64

py_slvs-1.0.6-cp38-cp38-musllinux_1_1_x86_64.whl (831.4 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

py_slvs-1.0.6-cp38-cp38-musllinux_1_1_i686.whl (869.1 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

py_slvs-1.0.6-cp38-cp38-musllinux_1_1_aarch64.whl (785.6 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

py_slvs-1.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (315.3 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

py_slvs-1.0.6-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (290.2 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

py_slvs-1.0.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (283.8 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

py_slvs-1.0.6-cp38-cp38-macosx_11_0_arm64.whl (187.9 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

py_slvs-1.0.6-cp38-cp38-macosx_10_9_x86_64.whl (205.0 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

py_slvs-1.0.6-cp38-cp38-macosx_10_9_universal2.whl (388.1 kB view details)

Uploaded CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64)

py_slvs-1.0.6-cp37-cp37m-win_amd64.whl (269.3 kB view details)

Uploaded CPython 3.7m Windows x86-64

py_slvs-1.0.6-cp37-cp37m-win32.whl (225.1 kB view details)

Uploaded CPython 3.7m Windows x86

py_slvs-1.0.6-cp37-cp37m-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.2+ x86-64

py_slvs-1.0.6-cp37-cp37m-musllinux_1_2_i686.whl (1.4 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.2+ i686

py_slvs-1.0.6-cp37-cp37m-musllinux_1_2_aarch64.whl (1.2 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.2+ ARM64

py_slvs-1.0.6-cp37-cp37m-musllinux_1_1_x86_64.whl (830.7 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ x86-64

py_slvs-1.0.6-cp37-cp37m-musllinux_1_1_i686.whl (868.5 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

py_slvs-1.0.6-cp37-cp37m-musllinux_1_1_aarch64.whl (785.6 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ ARM64

py_slvs-1.0.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (315.3 kB view details)

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

py_slvs-1.0.6-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (289.3 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

py_slvs-1.0.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (283.2 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

py_slvs-1.0.6-cp37-cp37m-macosx_10_9_x86_64.whl (204.5 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

py_slvs-1.0.6-cp36-cp36m-win_amd64.whl (269.4 kB view details)

Uploaded CPython 3.6m Windows x86-64

py_slvs-1.0.6-cp36-cp36m-win32.whl (225.2 kB view details)

Uploaded CPython 3.6m Windows x86

py_slvs-1.0.6-cp36-cp36m-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.2+ x86-64

py_slvs-1.0.6-cp36-cp36m-musllinux_1_2_i686.whl (1.4 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.2+ i686

py_slvs-1.0.6-cp36-cp36m-musllinux_1_2_aarch64.whl (1.2 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.2+ ARM64

py_slvs-1.0.6-cp36-cp36m-musllinux_1_1_x86_64.whl (830.7 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ x86-64

py_slvs-1.0.6-cp36-cp36m-musllinux_1_1_i686.whl (868.5 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ i686

py_slvs-1.0.6-cp36-cp36m-musllinux_1_1_aarch64.whl (785.6 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ ARM64

py_slvs-1.0.6-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (315.4 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

py_slvs-1.0.6-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl (289.3 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ i686

py_slvs-1.0.6-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (283.2 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

py_slvs-1.0.6-cp36-cp36m-macosx_10_9_x86_64.whl (204.5 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file py_slvs-1.0.6.tar.gz.

File metadata

  • Download URL: py_slvs-1.0.6.tar.gz
  • Upload date:
  • Size: 2.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for py_slvs-1.0.6.tar.gz
Algorithm Hash digest
SHA256 53a4ff697cb42530b5a6d2f9a0199c874cad48f98891103c5ce8b7d4da40ae72
MD5 55ec88fbb311fcb9bea82cc911be283f
BLAKE2b-256 dac5ac1a0f5f6872706eb6205ecd4774322892893943f8ac3537079701c183a3

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: py_slvs-1.0.6-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 287.9 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for py_slvs-1.0.6-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 d67a0fffa272405d483395062dd84baee063a9c010f374901ffcf32f0d77c5c8
MD5 8bbec62f0ed010d31fd4fc340984f6bc
BLAKE2b-256 f318f4a67514dc7605600215178835c77a3dba898b0b314f391f760810550c22

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp313-cp313-win32.whl.

File metadata

  • Download URL: py_slvs-1.0.6-cp313-cp313-win32.whl
  • Upload date:
  • Size: 243.2 kB
  • Tags: CPython 3.13, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for py_slvs-1.0.6-cp313-cp313-win32.whl
Algorithm Hash digest
SHA256 816284a07c336b978a19483be135e7b84a78dc77b123ee50812f95f4bb0abbf2
MD5 29ba886e33a3022b84ee9f5c2602ee0a
BLAKE2b-256 ac02356712a1b4b24ea321c69b1a033c8a7d5af07bc4debe9d517114dad1a0a3

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 5ee01f9c50d1d61ec89557875704c51f68168c7851b1c1c0bab17583ebe0a48e
MD5 e4b9065f3d3cf0d5a7a2c29790012d75
BLAKE2b-256 e130b1748e914c37aa6e4beb464f6c3bb89c414aa7e1b1e23bb5f49751dff9f9

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp313-cp313-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp313-cp313-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 048e7aab79c2b593b54b2243fb3573ccf8acfa82decc85075c2d18a5e4ab5ab9
MD5 f1242dc46a079ba19a972243a7f64124
BLAKE2b-256 c9788318fbc6ad6945e5a25c65670218aca24a11469e61d4de62b11162d953b3

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp313-cp313-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp313-cp313-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 9f8c607cd64c3820ce6302fbe0a82beaa443f688addee7888bdd4f8565dc8358
MD5 bd966485b442ee12b515ce330588a288
BLAKE2b-256 901cf5fb68bd70952c893f11f96970898652f8fd1b89284f54aa3a266f6eef26

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ea0a9eb754d3efded198298381af8cff2a720e740fe534a2fe3e82bf531db453
MD5 c905eff6330630d616a87331b0ee5007
BLAKE2b-256 edde700895d6b5b6851920b537337b32040a3db65de85dd4105008f39cbfac6b

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 4fccd090766c233fa63eaf5b2a375a5bd657c1f213305f07f319c574c81e9ab0
MD5 1e776f1357eaeb6ff2e4c1313fc02cea
BLAKE2b-256 3d5b9f99bd3f52af2b499074dabbd187e72cb71734413cf49d3a142f11cca2de

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7d81124379f6313e5a35f37a573bfaa97907cffe6bb66d9032a70d72b7e5360c
MD5 0155ff41754b034e0c5fef8b91f16fe6
BLAKE2b-256 c5bab3d88729c6d2c3d6d901f50f8e976747638f345c62a6978a59d663efbd12

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 62087de72814e69561a9973a07bc007a57c75804d15d32026c96f999056bb2a6
MD5 ec5a00b5698a347c94bd0fd9a96ecd18
BLAKE2b-256 5b7012a8b4bdc72dc1a93acb2bf05a2f73ff302dfada5e94cd5e5a5189910a78

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 a7b0f2d7b4f2e72da8f674e6cf7cbee75a803c9c22976e94bf702ef280f3c99c
MD5 b01a28e630d1f3e2c9e1f89493cbf31f
BLAKE2b-256 78d11279480e9b9f92eab265bc2108d26050462672b455f5c4b3ae41c5d63be0

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp313-cp313-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp313-cp313-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 44bcc4d92b71b435b89642a803bda6f2f5dacbedb919dc7e4e1deeafd4de3e96
MD5 95ecf61e936f4c4fedd48b62e4d8e560
BLAKE2b-256 11538e39a7e62caa8a4d24e034c051a6cadb2bd572d3a665e8464298c77acb84

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: py_slvs-1.0.6-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 288.2 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for py_slvs-1.0.6-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 97996401b6ff69c639e89399b5004a1d30e11cf0b26a32abd70cac3ad4667a13
MD5 7645c27e936938ed3f544272587b206d
BLAKE2b-256 5f85afc20196fea3b0264c6cf61ffcc69386cca26643efb115dcbb45d402a0fd

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp312-cp312-win32.whl.

File metadata

  • Download URL: py_slvs-1.0.6-cp312-cp312-win32.whl
  • Upload date:
  • Size: 243.5 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for py_slvs-1.0.6-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 96f44ae602346eb517f8e1372470c9d9c10d57a17fb79d6964e53efa1882ecd1
MD5 f5f59006a1c5f37c09bd515e833db895
BLAKE2b-256 7b51e612525d90e1019046ca93a55ee77658b1ab4c67b944c3c97496bafcaf08

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 334f470fe1b300d464cd749cded128a560c2f6414cca7629f80bfb1e03f556a8
MD5 f8d644f8134a41256066b8e3b4067b0e
BLAKE2b-256 8fe212aad0e73980bfbcca032c01fc66bafd86742b20e6f6de29b92250b1bb99

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp312-cp312-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp312-cp312-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 96e4826924026cd014f1e74d1fa7babdc48837516a129d1dfc10c6ac7d59b8d5
MD5 1e64254641061a50181e1a56045e6faa
BLAKE2b-256 384627ff4dac7cd9e618b529c292810675c1915c57ccd22125d1de64fa55c244

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp312-cp312-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp312-cp312-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 ca504ce4ad83adb2d849823d22e3e3857cb15f4e8a2f7d3cbc3f9a6f6116f2f5
MD5 6ea2bb72ed34ad3c84eb4e71ee76cec3
BLAKE2b-256 05793aff8efba831cc9ab140c1f5067ec18bf5064b63251108acdbe00a60e23f

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0a16cf9dcc453dcf9a920e61f03dba8ac426d03f397414d91243afce7f031c9b
MD5 fc83c96c7c93035f27f07424af122807
BLAKE2b-256 026fb7025abfa2d22d65a4b5fa5f12fdeeda10e5dd96d42ddccaa546c1c5a35b

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 c7ccf43a801eedf7eeb9b490773b95bab9468d54c82eaff714b6adcbd79cace2
MD5 62abdc2356f34233fe91e5bd5c0b090a
BLAKE2b-256 abc279b8b78939cb4509e3bd2be21ed3ef9bc9e2521fe2d7bc886a930a02ec7d

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f45c467a4526a09d2b9d32c1e48ef394bdea8110d4f4c3228c9a1fa22bfaa055
MD5 f80ad10001bb4d64be0d8179490df553
BLAKE2b-256 b2b0ebe2728ee889707be4fb4c7220b4441df3a15a16f000a44006a0f2ee2890

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2eb1a5652eb3c8371119b06cd357d599614778172fb271dbc23995ae4179006d
MD5 e74b051b26e50fb38dd24c8fea2a8289
BLAKE2b-256 6646748381fa23c5fc4020f4bc582e20f2483fae32b05e3b39544495129c943e

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 94a6eef93bf51507eaca443a6ec152a0170dbc296717c913c6daf9877fbd2751
MD5 e65ac76b3ce8cafe4d64404a66d4aa36
BLAKE2b-256 3889edd72f86faac3c8948398cbcf909ebe3e45bbb1d1f857cc9854a627e3c48

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp312-cp312-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp312-cp312-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 9c9ffdcd56ef2bc9b54a38cab0d3c60914cf96ea7e8e54fb812f125ab8135470
MD5 a57c8e47efeedf1b3e2761a004bf92ff
BLAKE2b-256 db6598809f40aac36374312ba19d9b270d4042bcee917817e80e9fcafa66d67d

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: py_slvs-1.0.6-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 269.7 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for py_slvs-1.0.6-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 8ce4499ee1d9f17a4189d33b7f8afc61666c7661f76c3ffabf7ff019c7b79e11
MD5 b2b761978c77574348c4225f20939786
BLAKE2b-256 4ce26f048b99f4b85c3b15268de2ff834af365c625cdd85f3d27667a63cfeb49

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp311-cp311-win32.whl.

File metadata

  • Download URL: py_slvs-1.0.6-cp311-cp311-win32.whl
  • Upload date:
  • Size: 225.3 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for py_slvs-1.0.6-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 4cefe7bd9901d68a55d3c28a47da433911de7a754dfd534cc1be0af9983da681
MD5 b8130e4b41445963b7d3342fe2f62a74
BLAKE2b-256 a61c304ece8c3705c3c2a8059cc32a9e8602fcf7938cc1fdacb8339b5185ed21

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 767ec7c7060314d8978ea602080e59409a4ed14caa26f965b6c4f7dec2964ac2
MD5 217dad5057baf5c7aa4ffa3d8a57f923
BLAKE2b-256 2ae2e89584ef8af8cff1aa42a30a5c899e8783dad1e9c1a1030dbc467ac1a309

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp311-cp311-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp311-cp311-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 5bab860b36b5ae45f334c2272901e4508c3f2079fefc773f06c5b52ba0c379dc
MD5 fc715cc2c42b84c2cf2760b49ac8ce2f
BLAKE2b-256 3fa25aad318c2824c77b3d0be5aa57cf7990b535c082f37320e08ece6e69f29a

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp311-cp311-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp311-cp311-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 9a91a23bb5d0d4fec0e2466796ecbbd6a334ad1b8776ce96534effd9ac6beb21
MD5 00f606f84d016c4cf40f53ed8751d31d
BLAKE2b-256 e57f43c054b75898fde5b9661e8bb03b0f1debbe39227a3cfe9b302a5b70f084

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 9257446016001f2a3e6c81432e6fc3864e9e3536adf9ae63a9ce789a3d69aee0
MD5 3a45f1f48ba847059e886bdb7e7d3cd4
BLAKE2b-256 19dfdff00745c3e1ef4cf6981c01bcbbcf39ef598b37fd25e6185bbb0782db05

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 c90ded01851a00aad76a2ef14c70a5b526b0b6070d0196849f37c7c9a5922049
MD5 19ea6e6a001f38b14600c8440784db12
BLAKE2b-256 66047bdca450d5727ab2cd98652dc98b671e115be0432d4bde359472073c0eb9

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp311-cp311-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp311-cp311-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 6e634faaac139ab101dad556da3c88c01d21c45e5051d75101c31fcc00ad1a39
MD5 eb55808f7b3cb3a1c94532f793dbec3e
BLAKE2b-256 1150c8d1486b7847b4a93feae81788bd7a9a6164e654cc0fee6491dec30b14e8

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2e61cc5e61b18083805d17f8b603e5f59c87415773e2b9e8afe78668dbc6043d
MD5 9bdf3a469c41bb5baa76f2f2890b2deb
BLAKE2b-256 c16f4fc004094a930ea7fad7699dd2c21193bf66322dc42093d7f8997e96f398

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 00b7a719e3210be00a82057e814f9d2dcb8060c349b153a0d9777becb05d6c95
MD5 97fc429302782dca907149d3308135c7
BLAKE2b-256 fc024990c7b9e7934a90165507ac17e2a86da3d5d58a6dd1808ab932fc5e4c97

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a1597063344c746ee392422a723c30086fda4690a9b88a8507a4452bb122e85e
MD5 dccdc169def1a230fd621c18ca5b4f92
BLAKE2b-256 d82a8e1e904a8347dc74924b7fafe6a92c18811064a6f89d8437522afc34f9e7

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a045e6c02b47a6c9b56a3de293883e30efc48509d1b2f5c21fa7bd201c54f49a
MD5 317b4f12ad09c4e1d4e2a7fe867fb39c
BLAKE2b-256 c38523bade7e8764744c129bfb36d26ebf0b3fab6799265de38785f322d72b9e

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a64b34dc0b59bc1a8c28488c6ef88170fca641e482d0a93f8cf3844e5d40f0a4
MD5 1dc5e279bbd49240c0b369bd353420b2
BLAKE2b-256 15c76d5b8342498dac39172f1d033ef829df4984d39c53bc6117e94e13bc8b25

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 fe1610f0e10ce817f9c00761ad7228de82f8f80092ad37026b14b6fc0db45682
MD5 c2a442d2ff79adb8de85b1e43e4b820d
BLAKE2b-256 76608c013b610ffb2fc77ab63ce652bcded4aab4c7033e9e5e70b5615b24580a

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: py_slvs-1.0.6-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 269.4 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for py_slvs-1.0.6-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 b338fd141c1c25e2ac7c92a07d1a2194f1707848e56e96bf45e4a70f93cb9c07
MD5 a9454a8cc79f587efbf4bc8e38fff513
BLAKE2b-256 69b6bb198f32304831acf6311a7cc89b7d907ed46e4166b838e91a267c960b43

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp310-cp310-win32.whl.

File metadata

  • Download URL: py_slvs-1.0.6-cp310-cp310-win32.whl
  • Upload date:
  • Size: 225.2 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for py_slvs-1.0.6-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 3bef3a67ef077d6073c4a0a5d0067c6dc595cdaa681f64f3a62f9a21dd5a9a6b
MD5 67534e179532180804cb61f7567ee262
BLAKE2b-256 ee9df4d607ec03c55b75b3cc660eaa115ef2b1c383e23f545639ff20e720f75d

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 605667778c9ef706482d10735bbae2a0078ffc7ff98a591397aa8e8347b4f1e3
MD5 e1fc05e16fe8ef9e136ae230f9410008
BLAKE2b-256 52dbcc88278945151a136af116dc6b6e5c658aefdad6a20e2c0f411ba8a3a275

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp310-cp310-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp310-cp310-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 4590ded8bf7d171c58b382a8518b7088aa27a40e323053d695c97e1c80827e5b
MD5 12a8cd191aa247fbf8872ba29dac3795
BLAKE2b-256 a87afa83ed95fbc552ea431efe41ac7d794e327e9774f09cc967e5deedac3aea

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp310-cp310-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp310-cp310-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 3c2c4f1aa70d1d625e39242addd4d1781b0fc9842bb36f174a16526517cc12ba
MD5 37e9e158e51d33e97f262918ba96ddd4
BLAKE2b-256 f27fa6046ae461e3043138d2deab8dcd7566be19ee8f2cfd188726e8e8b8f8a2

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 aeb73e3337ffdb896375e79c5268a660880a91b9cea16d62b96afc399792c35e
MD5 7a0856e9a277c4c39ae4be4899d7a9b3
BLAKE2b-256 ffb4783ff67ab8c3c01f38521d7e1460fc30d05758681def5b0d9b3c85d3b49b

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 f71f748773ba2d395fb8a02b6b2755376f6a8eee91f4cef64392e3cdc80b842a
MD5 97caa27589fca7f0f4189035b3e070b6
BLAKE2b-256 92bee6c38df8af98f9a3ff59309cc724f8b658b5eb162059aa757991aa6f470d

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 9c943ada8b0845e59595c562849042ac0b51f81c621034b4ed0969822ecea4b1
MD5 c3239980323941be205a86eda323c906
BLAKE2b-256 6af2704936bb34c0f7147bc4de576b196510249706e4fa9aff8fa30e5ca0f6d9

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 764de612d21c082ddefd933e490c9e51454bc71a076aa4044b53358c63d10872
MD5 21075dbfe1443124937ad58702bb6572
BLAKE2b-256 952cfc8335af4f3d263209734806c3476857768f6e3031c0648c9bf78efa8cbe

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 4f4e6a0725619c3f9f4e89558aada78f67c34cd420e519e34de6af7c013b7f29
MD5 b7b7d940e52ec4fd32e6e996b267295f
BLAKE2b-256 e91f78f201a194353e88ea888eebcc906ac8d061a13c0920e58fef4ca3986e09

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 440ea402adbb2538637082ea050bea531cee8cbf2b82f798efe0b1c9bbf9024e
MD5 48c7533c27207d74694cee1665d3d79f
BLAKE2b-256 8c6b4bf3e59e4f84dea6958ee7bd8e9a406c812e6cb5f31ff60e5f753d2fe700

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 01c6e9978fbe97a6fac85c468788e95e203680a591c8dc0cbea21882c969bc64
MD5 d869b7653408851793c204b227e669e1
BLAKE2b-256 0e274a2df0aeca383940fd0a15c270e6f3071ca1d582fca5a2a49815aa3eea8f

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 973370964a5d8c8f944ed3e8ff699f28e35fc8f275257f816cc056223dc1a33a
MD5 8f46b926d337ed762855141302c3bf0a
BLAKE2b-256 0d09104f387e4a89ed47bf9332165105e02efa74dac17a089da738175d8f6bbb

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 bb270c54d0f81824a61b12609ea863ce2234df5045d772b7f3e9ffc9bd7dd107
MD5 d3bcfeab810248caa3a84292234e58f0
BLAKE2b-256 db3c3991191ada13a7e3b9aad000dc3f7448cb80c2a6f1aea51d4bb01f436895

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: py_slvs-1.0.6-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 269.5 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for py_slvs-1.0.6-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 c5778414598f3e651968d235d70984248e3bd288dd04f771535ab4a7f522c829
MD5 9cd48698374243b9fbabad9440b35419
BLAKE2b-256 b819fd67946305009201d4612092c7000741b200837c329b357cfd109ce790c1

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp39-cp39-win32.whl.

File metadata

  • Download URL: py_slvs-1.0.6-cp39-cp39-win32.whl
  • Upload date:
  • Size: 225.1 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for py_slvs-1.0.6-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 cdd27420934808703382c63d34d302247e9d10427e5c8a10c010fe4b89621058
MD5 f97e4f8c0d2a7261917d1cfcb60472c7
BLAKE2b-256 a778e76143af12b071ef7bf43bd4aabe9067bfc39567bbd54c097432600ef2a4

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 031b5f7338a7255577a5f228ff8c89566ebf816cfbd27a3c60a9126ebec6272f
MD5 d919d591d1065e39b3f5639c64794fa9
BLAKE2b-256 e98dc45567199584542db33a99eecba3b6df71359c5fcfc1eac323b041299b0e

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp39-cp39-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp39-cp39-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 248081df3bb524d26952f4dd756b560804d100c677082820a365d54562173497
MD5 90b1c23f1fafa3c23e4b886b01de8d4a
BLAKE2b-256 bfee4fa4fd0cf30ff05bbe8a215d17ec59a2461228cf60790ac8c61337577a39

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp39-cp39-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp39-cp39-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 be509576286aa372e2a2c306cd9ac485b50061033d63354debc0ffadc42b9a6c
MD5 062ca60dc158361cc4049ebd7cb9d50c
BLAKE2b-256 58addda7c7ff5649631cbbad1f4bdc1a5db9d0da0a800a7409f5816e85f9a614

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 dd0e56696a71bb48986308a3b76482955a332b96b0f5dbded54a44b5e1efa45a
MD5 0b9b349d175a7b7eee504b5385124e6f
BLAKE2b-256 bbed02164d5889819f0bca3c407ba597abd49b2c386c091ed6fb2e05287aac7c

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 e2f9a91e96c27466f9b4f8684396e783eca898122f16ecaba1dc241d9f35a841
MD5 41b893a1abb56650a97e8d07996b0ae1
BLAKE2b-256 df7c6c549e2321c803c9bf27a8694b76fa6033707fabdefa8332b5b983060a6d

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 4beec2c1e827ab59ae0fab27c6c8c4d7a03dabe35bbdfdfe5ca4af0347bc9ba7
MD5 eb1e23ac9bf609ced1912a0ac82f0e02
BLAKE2b-256 2b48101b66678da921a51b255109c5bd5c0ebfe83dd39f0fb1508e8ba42134dd

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 da51484c3cd8ab33c2b982c5198a6190026f2c39e76299e4cbb77900be6ea3cd
MD5 a3dcec23368793e33749d89b5813b4a1
BLAKE2b-256 e4a756bab0928e9bb6781e17849306ba455147c9b3eb3b99117d8314833f4c7b

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 af3836ec667e4a55bb85aa0f62a3b3a48c40b6307ee8ec4c1366925d6be4f0c1
MD5 26d1444b377d65011d127262cc1f9ccf
BLAKE2b-256 5ee43aec0e31729789e7f8ff5ec932098b3cd64ac8a5a475f648143484741239

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7fc46433f28f1eed936ebc9de2482a6f55f027d994eb81b6843b4daf2dc4e9d3
MD5 0dcc9b6f41291fc5d7f5588a9e1d6bd9
BLAKE2b-256 4973a7d72fef9d4ee4a629ebb138def1439f0a1f85d1bffa4ceda3c4b9966284

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a4c3423c81aaa26d6ed46ed6c981a8c09b31b4da6bc9ea7421f2f3253ad9c8ba
MD5 665fa2dc5aeb4ba1107cb5e6f4907538
BLAKE2b-256 7bc482730762dc888741dd309ca833d57a94cc7fbe111d1ffc3386cb6a27a1b8

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c0c4b76612537d0570811aa730458f13022662b1e600935ed63fb5dc2aed13aa
MD5 5edbc2c1ccac8fd5da5eaf69b3d56bd7
BLAKE2b-256 d4632ded948d7925f82b162e006e1c0e7503a1e9e3762fad874279533c004976

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 a4d5557d12b04fe2f898a13fd655b495fdae1bd8a791781fb85b3c3bd8479638
MD5 514d848b844a0e403f9484b30040e40c
BLAKE2b-256 3f1a848adf7e9240fc0342a6b6d2dcdd19a23f9ffb04ffe7f6602731292508a2

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: py_slvs-1.0.6-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 269.5 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for py_slvs-1.0.6-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 1bd5120c38c92fc10ff6887041919952cc584d36b67392eea76eca1d1342727b
MD5 f1555b42b6355f0085bffd52fbc1f38e
BLAKE2b-256 6181749d2050db3b86421395fb560e17a29c97bf7abc86c6b59a68c0453005a1

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp38-cp38-win32.whl.

File metadata

  • Download URL: py_slvs-1.0.6-cp38-cp38-win32.whl
  • Upload date:
  • Size: 225.2 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for py_slvs-1.0.6-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 6e0ae6486b5970626a2f06e85c6c82239451c718dd5f5af1e29279de6463355b
MD5 3fea01b741d6fe43b595d79978a5cc23
BLAKE2b-256 4453502d245cbbdf6c1712c4533e66501ccefee4ef0050172e3f5da437bd92ba

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 d239acc87586a4cb88a78ecb81e6d2eb0ad69c2ef727e13fe6ff3b757a0253fa
MD5 136d903d499478cfab224d2496852682
BLAKE2b-256 ca9954dbd1a805910fb58b262aef9b70e8051f4c88dbf56469c6c9b6a2f19506

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp38-cp38-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp38-cp38-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 552061cb4d1df46637b2fa1ebfed4aca670d66001593235fa24f33015fd421ff
MD5 193f65ebc6b13fe6d270ea90d36d2530
BLAKE2b-256 b1a611a9a94e3b906be6550d11fc545ad5008e38e8552dc0eec173de36539253

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp38-cp38-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp38-cp38-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 a5dbda903eead6f00250a05671a0669bc399df713e7c17091ffccb3e8a50f520
MD5 a79eec61277e014ae6e6fe559ad1b7bc
BLAKE2b-256 ea6f1dc159c268d7782fd8487dce087f3d8687f03d4967914730420e75194090

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 c91ede734454304930d93ed4b84b2efe5c7a64d826eccf2feed623a00080c0bc
MD5 989b38631c5ecfbd0175e759eec6edea
BLAKE2b-256 2e02c4322c6e77e31b451509a9fb192a13635b39e21cdca15d432a8da937a51f

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 c0694445e91186d0554b7455932674161f94f091430cda7245f687fa5ca88876
MD5 edb8ff8e1a7fdd583c252fd57e704fe1
BLAKE2b-256 5321b139b00b6b0e51752b1875401c5b5aceb86712c2c9fdf223af98791e4f80

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 3420458c6d3acd004f23e6afae545bd88655bdb43e70cd21e5bdbf3cd79eb368
MD5 749a52c98b0f0251a2743de7a80fa6fe
BLAKE2b-256 53275e5af31e92ce18481b66206d1f0ba1d8de472257f679db59a813588db079

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 15031716c9f52c7e018f321f9a53ae0d5f69ca6b136f6165409cbcf6c68044e4
MD5 d48c179bb7424b6fcc587f5e1bfe96a9
BLAKE2b-256 6f65d0fd56242dbb412e01311f07615d6887ccf348845b87ee3f7110a6dab1d2

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 72412ed2cf62b332cea06f8c8f7b7264c295ff3e377e4753dad09be22be2d746
MD5 28530f3ddf5c6224cbbecc2239008d96
BLAKE2b-256 5f798fa4836806da3ad6d786f40e7ab9bf0d04396391680b38e248309df379da

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f90a234ed0b1a5c7784bdb59a9414029e3a90bfb7ad4f77cb932c1c078bca6c3
MD5 ae9933724091eb2f16d1b87b06fef7c9
BLAKE2b-256 4999e4f43dc81e424e301e7e662d357b238691bf5c70a3a5db625ac63cd8130c

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ddf1eba68ebd4f5277f37f1f15afadc4dc2bacbdd58ae188cb547c2f9c56e996
MD5 9d52c99fae59a72afbd5bfcb6f956bee
BLAKE2b-256 cbbcd57715fda29974b1b7c5a9197f0ca00e7b1594f7ab89a06ed30332c2b2d6

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 312e9a330f23011ff47b0a566429123c85c2e3aa38b51e2c3cd58fae8b91baa5
MD5 8cafb15951c56693279eab182b6c9578
BLAKE2b-256 39c8c8683231181536484e1c4ff0501e828413fa616bdf226d6ff1b12cfeda16

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 414f972352e2504fb0e01a13add925b6b031387cc42cb42f5ce15a4cec506177
MD5 2618b6b27f82c13ae4775cc0fff65160
BLAKE2b-256 065a2a495ef7d1689792b6308baae613221cf271b0f839d9f03d5393e6c847a8

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: py_slvs-1.0.6-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 269.3 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for py_slvs-1.0.6-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 06bc88dd31a40189b2fded0741cef191960d1ac74a1795ac9a9bd7b270d3d58b
MD5 95e5b12d1d7cf20188e0f52c96df6298
BLAKE2b-256 575bb7ae78fc0320fca5a961ad9d0ea9a0e676b12a97726218bdc0b1a9b56c03

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp37-cp37m-win32.whl.

File metadata

  • Download URL: py_slvs-1.0.6-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 225.1 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for py_slvs-1.0.6-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 ad71048fbffb48d58bad541368bce27d58c88ba960d60ebcaf67338941366e37
MD5 4e643a7de74084c9b2b30ac531b34946
BLAKE2b-256 89bd5897c818451d07990e3e37c278b460f4d81e71b84d7a38294ec8b9422101

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp37-cp37m-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp37-cp37m-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 ea061948d7f0170308c1daaac70d66f1f4cd6fa083d990fd6769a6995275c6c4
MD5 f3cdb23b9b25cc67047c41fdd99aad38
BLAKE2b-256 01a76a2cef2f93ec2c55ae37a32d1cc097a410b9e8df1cc2e52a4a8c4561aa7e

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp37-cp37m-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp37-cp37m-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 e62b186d6f468f52a9b0ca4a4f625d321991a8346578de1bec42d7f4113135f0
MD5 54828aa4713e3822d76943b49b059fc5
BLAKE2b-256 a7d14e5d7a03bf626fe5e0750037a5f6479ae602b59788c43e3860308581acef

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp37-cp37m-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp37-cp37m-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 0c6b192f04f85cf374c1528de7b38667c4ad27359aacbc64495eda1f33a98b2b
MD5 b5bc4770fef11fab2146e4e433fd4c61
BLAKE2b-256 83ecf8ace9234a937d8e22126aa8045af4900cf162b52fcb44ab7cade84ffca2

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 4abffc39b9e77ef77583a57981eb09eedca837d8887062701957d461865074e3
MD5 df3184c62d3d025311af058979029883
BLAKE2b-256 f50323fe63e419a676dc9e286540afd481e7efdd332fdf63b21c4428330f0f7a

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 bed02fe4a5766bf6667629994d45a0003be1e9abe737690dd8d407c08f584bf8
MD5 3b84c0fee022d60e65c0c66210069ca6
BLAKE2b-256 1721668e5ce36f49439b65b8d68e9777fa7ab790e13e4104f868fd3945ff7b79

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp37-cp37m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp37-cp37m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 85c1bedf0218cc3a697f28243529cf38fadd327acf776300de25cbc1710313d5
MD5 49e05685ad55af75d727030707bcc3a3
BLAKE2b-256 93fab14497b38d7308ccc9bee8638b7eaff751feee1229ecbd9b98b591d4fb8f

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 82ebedc7764009b9c61fedd0448c980bdc101a4502802ed89eb7be0f8203fdf7
MD5 c0a786b6d024ab1dd58b25636c7663d9
BLAKE2b-256 111724f9b6e7ae05258012ddb32529daa4137100c3d712b7f43648147484e31c

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 7cfd1980e3cd31b20a74b9ce9dcccf54a9c2bf5318c38fd560623e368f03f67d
MD5 4faba75e616073a9872a50d183295e5f
BLAKE2b-256 9ed859819011682e89ffa8eba8d03b89a0ef4af7336c2c63e4b48d708a26a85e

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 97bc390061842afb8f075d59d0423ec1d58ddfcaaee4d90ec397424deae36865
MD5 9a7186591c8fef0e476557ba0344c46d
BLAKE2b-256 33efb6e3eab64bfdea4ab8235d3e22804d890f2cfc7c65e5c2a4a49c95f1f5a9

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 54390c07b5f6a2bdf6f5f806174ca18d34877bcc3862207cec52c76b0ddea2b4
MD5 4bc5daeecc988a95afa550dfb9dd2d3f
BLAKE2b-256 e8b1bc3c91a43792370ed2f61c0fcd376722c5aa68496af08afb9a657779d953

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: py_slvs-1.0.6-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 269.4 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for py_slvs-1.0.6-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 14f371c05270618cf7d9fd854c6068ffcd50bce87b38e24714d25fdbbbe6296b
MD5 477bdcdc5820f37f2357a9c879dfb13a
BLAKE2b-256 90e8206042470e62d2c27f89c4f028fc067c2108a115922d3e20381530dd92ca

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp36-cp36m-win32.whl.

File metadata

  • Download URL: py_slvs-1.0.6-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 225.2 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for py_slvs-1.0.6-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 eb3374c180c1d231ad4ea8e1e74c5a7f817c28a1b06bd4905c99f3131ceeab92
MD5 3ba550c30b4f4df637c60fe556c6552e
BLAKE2b-256 c3fb9df5bcc44bbf8c869158aa1b070636f9f04ea8b98bc95e2cfc20f2ad5e53

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp36-cp36m-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp36-cp36m-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 86d18ed0fd4a5e8217b093f6c6152f66a66a36206d6a02c60fd92770aad07420
MD5 46f0c6d54c0871642c66069bd165f115
BLAKE2b-256 8a9f61c3cd7eb02ff6ccc1a8b83ea7875c4837862df7536d5807db1495bdfad5

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp36-cp36m-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp36-cp36m-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 d4bdfa0234b87c2325ca5cb96a9a9088367fa8e359cc09d29779ad6cdc4ddf97
MD5 7dacbe3e31d3c1dc2976ca8720165983
BLAKE2b-256 f2a4b1a2ea780acaf8dc9c891dc03adc408a2d5c49cb1cb45d94a178a0da63f5

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp36-cp36m-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp36-cp36m-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 e0bd25d3fbaeafcbbf40bdebd21b043a88542a7f029f87fc68fa9bc4dd5401e0
MD5 f2a60f1a11d8e1e639c049a7bce61f63
BLAKE2b-256 ca475a7371a8aa34746bb93161542b1dfaacb43552af4a8fbc4af7c6718b0940

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp36-cp36m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 24cebff2d61a40a7c67b4ad5ce2a593e6a2a3e1b6948bfd4319b0eb78d4d57d2
MD5 6d23f8330daea763ba0aafae0c479da5
BLAKE2b-256 519c291140d97a5db888e064ec7f4a493ccd0e251ab44390d20573ca97c8f8f9

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp36-cp36m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 da413cc973c4188252a4c28566cf4df3bd49b62f9ae8e96a220a765f237ceeb2
MD5 536c22ffb40a68f1429d4697755229d3
BLAKE2b-256 672bc5de5959abccb108fec63ed64a4a028d3bc80575138d420c75d60ba59461

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp36-cp36m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp36-cp36m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 bc42b358cb6d7ddb3349018eff9f0c3757aa524fe4c7c5af5c9770c4fd622ba6
MD5 30e456a4d104cf5f673d4bf63dc42177
BLAKE2b-256 225147bfa93a91de93473799a557b4adaa6c306dc3bbfcf5d32f893160d18d81

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fe3a760fa9bf20f00eabcb5f35357b66cc3bca8c43fa72878bdec4876dd7f7fb
MD5 eb874b80a226ebf29f049a96324aa864
BLAKE2b-256 b3d5bfaf2d9c74fc279e0a56a0d91c427cb9c3f78e7a54043ad45389d0aacdb5

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 59c9654d99ac48717b70b45ba70896e20ac33ccef7b6717e2743c4ec935eea57
MD5 d54f686d6d949674dedce3fbfb23e09f
BLAKE2b-256 bcd1bec126dcb8b18add714630e4a2ce5e9a5087e1bb3bb0efda02bcc318240e

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 575399fc0503f21cc361fcc88a2b6320a12d3c6d4d0fd60b19918aeddb704737
MD5 ddfbca345eb132664fafc41302f38fa0
BLAKE2b-256 02bd1fc7a80fd6e2408db40253434ec0960efd2fc9d26f43c91d1a54bc241093

See more details on using hashes here.

File details

Details for the file py_slvs-1.0.6-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for py_slvs-1.0.6-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 002347b092767fc6570a3a245b57ff8facc08401a036b6197b16e8149ab7c1e8
MD5 f56450b70b625b5e79bd0c4cff1e8bb8
BLAKE2b-256 412f35946c366b270c8d5d177e27554c9eb85bbd4dc20bc6c81830548ab550e6

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 Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page