Skip to main content

SolveSpace solver wrapped with Cython

Project description

SolveSpace

SolveSpace Logo

Build Status solvespace solvespace

This repository contains the source code of SolveSpace, a parametric 2d/3d CAD tool.

Community

The official SolveSpace website has tutorials, reference manual and a forum; there is also an official IRC channel #solvespace at web.libera.chat.

Installation

Via Official Packages

Official release packages for macOS (>=10.6 64-bit) and Windows (>=Vista 32-bit) are available via GitHub releases. These packages are automatically built by the SolveSpace maintainers for each stable release.

Via Flathub

Official releases can be installed as a Flatpak from Flathub.

Get SolveSpace from Flathub

These should work on any Linux distribution that supports Flatpak.

Via Snap Store

Official releases can be installed from the stable channel.

Builds from master are automatically released to the edge channel in the Snap Store. Those packages contain the latest improvements, but receive less testing than release builds.

Get it from the Snap Store

Or install from a terminal:

# for the latest stable release:
snap install solvespace

# for the bleeding edge builds from master:
snap install solvespace --edge

Via automated edge builds

:warning: Edge builds might be unstable or contain severe bugs! They are intended for experienced users to test new features or verify bugfixes.

Cutting edge builds from the latest master commit are available as zip archives from the following links:

Extract the downloaded archive and install or execute the contained file as is appropriate for your platform.

Via source code

Irrespective of the OS used, before building, check out the project and the necessary submodules:

git clone https://github.com/solvespace/solvespace
cd solvespace
git submodule update --init

You will need git. See the platform specific instructions below to install it.

Building on Linux

Building for Linux

You will need the usual build tools, CMake, zlib, libpng, cairo, freetype. To build the GUI, you will need fontconfig, gtkmm 3.0 (version 3.16 or later), pangomm 1.4, OpenGL and OpenGL GLU, and optionally, the Space Navigator client library. On a Debian derivative (e.g. Ubuntu) these can be installed with:

sudo apt install git build-essential cmake zlib1g-dev libpng-dev \
            libcairo2-dev libfreetype6-dev libjson-c-dev \
            libfontconfig1-dev libgtkmm-3.0-dev libpangomm-1.4-dev \
            libgl-dev libglu-dev libspnav-dev

On a RedHat derivative (e.g. Fedora) the dependencies can be installed with:

sudo dnf install git gcc-c++ cmake zlib-devel libpng-devel \
            cairo-devel freetype-devel json-c-devel \
            fontconfig-devel gtkmm30-devel pangomm-devel \
            mesa-libGL-devel mesa-libGLU-devel libspnav-devel

Before building, check out the project and the necessary submodules.

After that, build SolveSpace as following:

mkdir build
cd build
cmake .. -DCMAKE_BUILD_TYPE=Release -DENABLE_OPENMP=ON
make

# Optionally
sudo make install

Link Time Optimization is supported by adding -DENABLE_LTO=ON to cmake at the expense of longer build time.

The graphical interface is built as build/bin/solvespace, and the command-line interface is built as build/bin/solvespace-cli. It is possible to build only the command-line interface by passing the -DENABLE_GUI=OFF flag to the cmake invocation.

Building for Windows

Ubuntu will require 20.04 or above. Cross-compiling with WSL is also confirmed to work.

You will need the usual build tools, CMake, and a Windows cross-compiler. On a Debian derivative (e.g. Ubuntu) these can be installed with:

apt-get install git build-essential cmake mingw-w64

Before building, check out the project and the necessary submodules.

Build 64-bit SolveSpace with the following:

mkdir build
cd build
cmake .. -DCMAKE_TOOLCHAIN_FILE=../cmake/Toolchain-mingw64.cmake \
            -DCMAKE_BUILD_TYPE=Release
make

The graphical interface is built as build/bin/solvespace.exe, and the command-line interface is built as build/bin/solvespace-cli.exe.

Space Navigator support will not be available.

Building for web (very experimental)

Please note that this port contains many critical bugs and unimplemented core functions.

You will need the usual build tools, cmake and Emscripten. On a Debian derivative (e.g. Ubuntu) dependencies other than Emscripten can be installed with:

apt-get install git build-essential cmake

First, install and prepare emsdk:

git clone https://github.com/emscripten-core/emsdk
cd emsdk
./emsdk install latest
./emsdk activate latest
source ./emsdk_env.sh
cd ..

Before building, check out the project and the necessary submodules.

After that, build SolveSpace as following:

mkdir build
cd build
emcmake cmake .. -DCMAKE_BUILD_TYPE=Release -DENABLE_LTO="ON" -DENABLE_TESTS="OFF" -DENABLE_CLI="OFF" -DENABLE_COVERAGE="OFF"
make

The graphical interface is built as multiple files in the build/bin directory with names starting with solvespace. It can be run locally with emrun build/bin/solvespace.html.

The command-line interface is not available.

Building on macOS

You will need git, XCode tools, CMake and libomp. Git, CMake and libomp can be installed via Homebrew:

brew install git cmake libomp

XCode has to be installed via AppStore or the Apple website; it requires a free Apple ID.

Before building, check out the project and the necessary submodules.

After that, build SolveSpace as following:

mkdir build
cd build
cmake .. -DCMAKE_BUILD_TYPE=Release -DENABLE_OPENMP=ON
make

Link Time Optimization is supported by adding -DENABLE_LTO=ON to cmake at the expense of longer build time.

Alternatively, generate an XCode project, open it, and build the "Release" scheme:

mkdir build
cd build
cmake .. -G Xcode

The application is built in build/bin/SolveSpace.app, the graphical interface executable is build/bin/SolveSpace.app/Contents/MacOS/SolveSpace, and the command-line interface executable is build/bin/SolveSpace.app/Contents/MacOS/solvespace-cli.

Building on OpenBSD

You will need git, cmake, libexecinfo, libpng, gtk3mm and pangomm. These can be installed from the ports tree:

pkg_add -U git cmake libexecinfo png json-c gtk3mm pangomm

Before building, check out the project and the necessary submodules.

After that, build SolveSpace as following:

mkdir build
cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
make
sudo make install

Unfortunately, on OpenBSD, the produced executables are not filesystem location independent and must be installed before use. By default, the graphical interface is installed to /usr/local/bin/solvespace, and the command-line interface is built as /usr/local/bin/solvespace-cli. It is possible to build only the command-line interface by passing the -DENABLE_GUI=OFF flag to the cmake invocation.

Building on Windows

You will need git, cmake and a C++ compiler (either Visual C++ or MinGW). If using Visual C++, Visual Studio 2015 or later is required. If gawk is in your path be sure it is a proper Windows port that can handle CL LF line endings. If not CMake may fail in libpng due to some awk scripts - issue #1228.

Before building, check out the project and the necessary submodules.

Building with Visual Studio IDE

Create a directory build in the source tree and point cmake-gui to the source tree and that directory. Press "Configure" and "Generate", then open build\solvespace.sln with Visual C++ and build it.

Building with Visual Studio in a command prompt

First, ensure that git and cl (the Visual C++ compiler driver) are in your %PATH%; the latter is usually done by invoking vcvarsall.bat from your Visual Studio install. Then, run the following in cmd or PowerShell:

mkdir build
cd build
cmake .. -G "NMake Makefiles" -DCMAKE_BUILD_TYPE=Release
nmake

Building with MinGW

It is also possible to build SolveSpace using MinGW, though Space Navigator support will be disabled.

The easiest way to build using MinGW is with MSYS2. If you're not using MSYS2, skip the installation instructions and ensure that git, cmake, ninja, and gcc are in your $PATH.

With MSYS2, you can build either a 32-bit binary or a 64-bit one, depending on the compiler used. The following instructions assume you're running the commands inside an MSYS2 MINGW64 terminal window and building a 64-bit version. If you want to build a 32-bit version, you'll need to run the commands in an MSYS2 MINGW32 terminal window and replace x86_64 with i686 in the installation commands.

First, install Git, GCC, CMake, and Ninja:

pacman -Sy mingw-w64-x86_64-git mingw-w64-x86_64-gcc mingw-w64-x86_64-cmake mingw-w64-x86_64-ninja

Then, run the following in bash:

mkdir build
cd build
cmake .. -DCMAKE_BUILD_TYPE=Release -GNinja
ninja

Contributing

See the guide for contributors for the best way to file issues, contribute code, and debug SolveSpace.

License

SolveSpace is distributed under the terms of the GPL v3 or later.

Project details


Download files

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

Source Distribution

slvs-3.2rc1.tar.gz (7.1 MB view details)

Uploaded Source

Built Distributions

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

slvs-3.2rc1-cp313-cp313-win_amd64.whl (259.4 kB view details)

Uploaded CPython 3.13Windows x86-64

slvs-3.2rc1-cp313-cp313-win32.whl (164.5 kB view details)

Uploaded CPython 3.13Windows x86

slvs-3.2rc1-cp313-cp313-musllinux_1_2_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ x86-64

slvs-3.2rc1-cp313-cp313-musllinux_1_2_aarch64.whl (3.8 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ ARM64

slvs-3.2rc1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

slvs-3.2rc1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.0 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARM64

slvs-3.2rc1-cp313-cp313-macosx_11_0_arm64.whl (237.8 kB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

slvs-3.2rc1-cp313-cp313-macosx_10_13_x86_64.whl (269.1 kB view details)

Uploaded CPython 3.13macOS 10.13+ x86-64

slvs-3.2rc1-cp312-cp312-win_amd64.whl (259.7 kB view details)

Uploaded CPython 3.12Windows x86-64

slvs-3.2rc1-cp312-cp312-win32.whl (216.2 kB view details)

Uploaded CPython 3.12Windows x86

slvs-3.2rc1-cp312-cp312-musllinux_1_2_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

slvs-3.2rc1-cp312-cp312-musllinux_1_2_aarch64.whl (3.8 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ ARM64

slvs-3.2rc1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

slvs-3.2rc1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

slvs-3.2rc1-cp312-cp312-macosx_11_0_arm64.whl (238.3 kB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

slvs-3.2rc1-cp312-cp312-macosx_10_13_x86_64.whl (269.5 kB view details)

Uploaded CPython 3.12macOS 10.13+ x86-64

slvs-3.2rc1-cp311-cp311-win_amd64.whl (259.5 kB view details)

Uploaded CPython 3.11Windows x86-64

slvs-3.2rc1-cp311-cp311-win32.whl (165.3 kB view details)

Uploaded CPython 3.11Windows x86

slvs-3.2rc1-cp311-cp311-musllinux_1_2_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

slvs-3.2rc1-cp311-cp311-musllinux_1_2_aarch64.whl (3.8 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ ARM64

slvs-3.2rc1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.9 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

slvs-3.2rc1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.9 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

slvs-3.2rc1-cp311-cp311-macosx_11_0_arm64.whl (237.9 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

slvs-3.2rc1-cp311-cp311-macosx_10_12_x86_64.whl (270.2 kB view details)

Uploaded CPython 3.11macOS 10.12+ x86-64

slvs-3.2rc1-cp310-cp310-win_amd64.whl (259.2 kB view details)

Uploaded CPython 3.10Windows x86-64

slvs-3.2rc1-cp310-cp310-win32.whl (165.1 kB view details)

Uploaded CPython 3.10Windows x86

slvs-3.2rc1-cp310-cp310-musllinux_1_2_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ x86-64

slvs-3.2rc1-cp310-cp310-musllinux_1_2_aarch64.whl (3.8 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ ARM64

slvs-3.2rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.9 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

slvs-3.2rc1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.9 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

slvs-3.2rc1-cp310-cp310-macosx_11_0_arm64.whl (236.1 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

slvs-3.2rc1-cp310-cp310-macosx_10_12_x86_64.whl (268.4 kB view details)

Uploaded CPython 3.10macOS 10.12+ x86-64

slvs-3.2rc1-cp39-cp39-win_amd64.whl (259.5 kB view details)

Uploaded CPython 3.9Windows x86-64

slvs-3.2rc1-cp39-cp39-win32.whl (165.7 kB view details)

Uploaded CPython 3.9Windows x86

slvs-3.2rc1-cp39-cp39-musllinux_1_2_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ x86-64

slvs-3.2rc1-cp39-cp39-musllinux_1_2_aarch64.whl (3.8 MB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ ARM64

slvs-3.2rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.9 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

slvs-3.2rc1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.9 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

slvs-3.2rc1-cp39-cp39-macosx_11_0_arm64.whl (237.1 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

slvs-3.2rc1-cp39-cp39-macosx_10_12_x86_64.whl (269.4 kB view details)

Uploaded CPython 3.9macOS 10.12+ x86-64

slvs-3.2rc1-cp38-cp38-win_amd64.whl (260.2 kB view details)

Uploaded CPython 3.8Windows x86-64

slvs-3.2rc1-cp38-cp38-win32.whl (217.3 kB view details)

Uploaded CPython 3.8Windows x86

slvs-3.2rc1-cp38-cp38-musllinux_1_2_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.8musllinux: musl 1.2+ x86-64

slvs-3.2rc1-cp38-cp38-musllinux_1_2_aarch64.whl (3.8 MB view details)

Uploaded CPython 3.8musllinux: musl 1.2+ ARM64

slvs-3.2rc1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.9 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

slvs-3.2rc1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.9 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ ARM64

slvs-3.2rc1-cp38-cp38-macosx_11_0_arm64.whl (237.6 kB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

slvs-3.2rc1-cp38-cp38-macosx_10_12_x86_64.whl (270.1 kB view details)

Uploaded CPython 3.8macOS 10.12+ x86-64

slvs-3.2rc1-cp37-cp37m-win_amd64.whl (203.4 kB view details)

Uploaded CPython 3.7mWindows x86-64

slvs-3.2rc1-cp37-cp37m-win32.whl (176.1 kB view details)

Uploaded CPython 3.7mWindows x86

slvs-3.2rc1-cp37-cp37m-musllinux_1_2_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.7mmusllinux: musl 1.2+ x86-64

slvs-3.2rc1-cp37-cp37m-musllinux_1_2_aarch64.whl (3.8 MB view details)

Uploaded CPython 3.7mmusllinux: musl 1.2+ ARM64

slvs-3.2rc1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.9 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

slvs-3.2rc1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.9 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ ARM64

slvs-3.2rc1-cp37-cp37m-macosx_10_12_x86_64.whl (273.7 kB view details)

Uploaded CPython 3.7mmacOS 10.12+ x86-64

File details

Details for the file slvs-3.2rc1.tar.gz.

File metadata

  • Download URL: slvs-3.2rc1.tar.gz
  • Upload date:
  • Size: 7.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for slvs-3.2rc1.tar.gz
Algorithm Hash digest
SHA256 f86871483cf7824ce59c015348d59046438cb0f842a70c943460dae5110bdf20
MD5 53f85ae30ea1d107d5adfb3a3dbfd0f2
BLAKE2b-256 583591cd59a5a3adfdd591630aafada33737f7b0e0935189948bfecf54551c03

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: slvs-3.2rc1-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 259.4 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for slvs-3.2rc1-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 c58f054fb659a5747e914783d9f8c485d28ed6fce7c3708a355e61666f8f7c5e
MD5 a953f4f74a982897f3a32896fb533531
BLAKE2b-256 032a0ccec5b4a9cfe5ca56469a452d946224a79e75d23af90ce471e5e56ba6d9

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp313-cp313-win32.whl.

File metadata

  • Download URL: slvs-3.2rc1-cp313-cp313-win32.whl
  • Upload date:
  • Size: 164.5 kB
  • Tags: CPython 3.13, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for slvs-3.2rc1-cp313-cp313-win32.whl
Algorithm Hash digest
SHA256 612313a07e9182431ff1f5e94c32d1b030ac4c82897fbc39e256c2d6a715c25c
MD5 249ff27582002c3396abbcef33dc7965
BLAKE2b-256 6bb8eb0bb47dde54022a8fb0ba8866b4cace0555d89a41f55dcc225ae5616557

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 3975e6308d1191aedf1d6f6d235f02c02fa5ac20788211a6672e4704ef99623a
MD5 62abcbd277619a864f27494cfede5372
BLAKE2b-256 4c851e432aa17c67cd797945a71f2db026e75491cec94d9faeb911fc392dba8d

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp313-cp313-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp313-cp313-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 20a59dd6e32e83220fffacc0bcafa8af86069063e862129ec07b418f0b1b6908
MD5 6ede96878cce2f52ab34ebadd7239a05
BLAKE2b-256 b1c2e7fe15320d990cfe868c9e72469b9390db311c9ce873a0308f0f80b84ade

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6c62acfddcf6b8220c6cbd931598de6e7e61065e2eca6a8b074ead89042341fa
MD5 8f9857e0adf4168fba9e981e711850bc
BLAKE2b-256 5e9de822b3429c0b6805a25f03b13f043ec8d6f613fc1daaf83906fc708ef00f

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d07a5567089652afddeaf99fd18ad45f1284d5e569d345e140d25d42449bde21
MD5 4fa0a9dfe65759d82468ca9fc25798ff
BLAKE2b-256 a93008b5d319fe632a51fafbd42780129c4b076dd242ea6f5368780a586615fb

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a6251f741eff11ff7cfe5dc5d8fcfa5da66d7d277aaffc09e3f57b1cb77c5055
MD5 393a77b71828bf1c4662478ac9cc7447
BLAKE2b-256 579fb23a4c2f5d80e714dd386226f8f4489518c68f18a9b846c946741d9b4cb1

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 f868a12abac52d4ea63f66add6da18c24d195f5fcc6a42c245c8a8c2cef9c8f8
MD5 d37005f22a769629dbb2a42853a9116b
BLAKE2b-256 e2967673a218a956c349f7b5d3e11fd44bacc198a3cf0bdcd068879f9ea31127

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: slvs-3.2rc1-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 259.7 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for slvs-3.2rc1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 0da812db8d7b7e2ca3dae9bc4006b3c3f72914b0b7e3bab322c5fc4d89a8811d
MD5 1a89011bec22b1199db1be0dfb0b6308
BLAKE2b-256 533565ef4be20945a175c975d20da4350bea3d13c74202478b45fb6d07ad2ecd

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp312-cp312-win32.whl.

File metadata

  • Download URL: slvs-3.2rc1-cp312-cp312-win32.whl
  • Upload date:
  • Size: 216.2 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for slvs-3.2rc1-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 c92f024e250d3c9f5e1e3efb39651b992b8f395f54ef2b2e290eab7ee5d30dc0
MD5 43e4ed555746293010f6ade94957900b
BLAKE2b-256 cab52d64ee53639333119f8f183b565a33fc9ec847b6fce01c62500d37506a6a

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 1585c42211eae2b8cec0a9a415d38fd03f836aa49916fa64c7e17e2769eaacb8
MD5 273d9f40c4899c3dd6cc9e4b8528a614
BLAKE2b-256 3a663ba144f7c153f7c71fe36b84e4d55e592896898362e2b6a6aba70a72b00c

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp312-cp312-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp312-cp312-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 8fc5228074362f33a759dfad161c13d45ff4781f4403775f9563c12fec8ce983
MD5 17a54c982e2c1f3f7641b37207ca1f32
BLAKE2b-256 eb9751a5aaccffc0c9377e84b659f9a1f3e380f805f6a89ca461d06143ccb4d6

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8c5694736066f4e10e3001a7f3b7eb32f00784766abd04a5ba00aa3c6981eb9d
MD5 5cc0c1b6697e3f573cc7fe0f07601782
BLAKE2b-256 6b9928bc9aa578c291091c54cc456561ed9de6d8663f03a9284e008ad02fcb19

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cd18f3a4bf7c4ce171cb1724e755e4ab4a463f08ddc417f6db63a64c86ced99d
MD5 e2056409527768451d0cf5f35bed3046
BLAKE2b-256 f1223ed96cb2443dababbfff63e6ef4b207db8e142632259a7080a70ea277459

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ffa7b138a1ab4d562b322bb2d77c1e54c6bd996b5e7dd6d822477ada8077d17d
MD5 7dcffe9538e7d0b131a2336ece324017
BLAKE2b-256 14165961387dbda8abeaf2d96095a05ab5143f7063dd94c91c1599af500bb261

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 21b0ec9fcd4a79b3535a2481ef43da693f83e9c49cf892e2e6983db3a5415e7c
MD5 5e12590cf76717a592a1da1a3f033fae
BLAKE2b-256 ab85d0fcf5cd56fca2d3c08c240484e7671e57baa6a5a0f330715423e1169901

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: slvs-3.2rc1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 259.5 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for slvs-3.2rc1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 92cceb2f2d18df6fba1b66fc0f5c880b007998e44f77f0d36464c4c2ab2ad0c6
MD5 0bd6c674edc1c77ab40d3baa5b23fbdb
BLAKE2b-256 7861e7ffbce43c31c19c8c1108d8a5057f369732fb68201936c564d40e0339de

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp311-cp311-win32.whl.

File metadata

  • Download URL: slvs-3.2rc1-cp311-cp311-win32.whl
  • Upload date:
  • Size: 165.3 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for slvs-3.2rc1-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 86f40285f3eb261ccaab3be12a0d2b5ffc376d8728cc86c4ccc1e73aa6d52919
MD5 cf36d1bbfbc9788d7fe352c45d4cbab2
BLAKE2b-256 8b501ab63139da6294124d07043ed4c1a3b04112596671290c94db89f96d1fde

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 20803b54447b04a00b241b63f252c53e4b5573d1802b2ede71df808b32ab9d0a
MD5 480060988eefc3227182e4efe79600f2
BLAKE2b-256 1ac97032780efad74a7e9f9a1d32175796c2451381f8cc594ee4adbf4f8b3d45

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp311-cp311-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp311-cp311-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 f54cc34ff3ff4da4ab36ee8817c1c8ba2132537cbfeb478db3cc1b7b4ca0f10e
MD5 1290c41cab61d9230499ef52c42e81ab
BLAKE2b-256 3d4d5c47ceb29985aac6a50ca29fd901944255a5c703cfe83f778343e2e3af35

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fcd59309c77602042f28b915ac4c2270b5fc1e31218ddb9a51c87572498b343f
MD5 9b27114ac9541d8dee10130c42f144fc
BLAKE2b-256 45b1062af06eacbce94dfa0f01963e623eb486ec721198165c00711729e08949

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 70d8c36d8e77a4d7e65c4f481c8d2c553496074a68617f065760e7ce62e645e5
MD5 d5cbfc73f94bbf30cc67f28d695ad42b
BLAKE2b-256 3743bf236305df601a1266df3a424a8bfa19596dd45470bd2501d58394012c3d

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 03cb4d2132bb16d2b141f336c73deebb071157f60037eb0989bc44b577b51b8e
MD5 c7cf7237145aba685db89069f58564ec
BLAKE2b-256 6af4840b0249b926e334b69fff7e60c2af8b053b2e6f79ab5b66659bccc4e2be

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 208698a371666026e1b98fa32ba540277cd63e5edac274b05506ec3ce638d793
MD5 7a2aa6fff2710fe8217cf77372acf7a9
BLAKE2b-256 86a9cf0c002ff9561dd2ccb7e51cf39ca11173ed3d688f954303b9e3d0740895

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: slvs-3.2rc1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 259.2 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for slvs-3.2rc1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 04c0d03e8d3e6df058c1c9847c56542556f213e81363b0ac836eb3fbc354798b
MD5 fe93a23f6927bbfccb8fd7cc5fa71de4
BLAKE2b-256 1b6651b3be0c510d4ed25b4930c97ef4fdf1aa5e373ae4fdddcb2904a0f31485

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp310-cp310-win32.whl.

File metadata

  • Download URL: slvs-3.2rc1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 165.1 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for slvs-3.2rc1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 1865f5364a68808f79cf2604bfcd2183a07d1a98d12232908942ab6c649a54aa
MD5 10a793064ad5ba3e010a110b851c3da0
BLAKE2b-256 dbd54d15f71d072943619178d020c9f73eb65c7d986a5e7b0e203a43bae4b82b

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 4fb68bb7ef115f125f624c5f415870a1654803070a2b4fb197b5e12fdd1c6678
MD5 a3a1115ba2b3b7bbb3b76f5f11a693d4
BLAKE2b-256 2c8be6e74919f362e8eb64b58abc18d7dc36fc44cb3780c6be491271e0b6da4d

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp310-cp310-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp310-cp310-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 e8f439edeb486259305ca67b77c4dee285933155711e06fa6d7d863cdea6961d
MD5 6a79a355f3d0298999260d7b0476995d
BLAKE2b-256 6375b592914558fee4cdd9713db8d74dde1bb2d0771225068a93314115e8cc14

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 084475be1ec1410206363cccf91041ef41d9965202332e6799dc8fea228a8c52
MD5 2e3f1ee524b6538225a0fbcc79e3e71b
BLAKE2b-256 b785beca48621f01059d15f5de82b19775a62f12bf61b511692e3eb177fb5d44

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6deab80509b2ecb3fd31a60e7e0d1b1094981a8004ac32b9f5fab9e26954e476
MD5 88dd0873d0a625c9e9319171a276721b
BLAKE2b-256 565ba3b59e3d9eac4c8eae97d4412fdccd0f313ee90bf04d2a681938f1c8de2b

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a93db7d4ce12420521cca1bbebf047c3eec1c1c4b2ca28eb7547e9b2323c65da
MD5 be3a837be5be3117ff38e028b9e56d6b
BLAKE2b-256 ea252a36f40122c47cff805ed5aa06a570e72e9e20d2b06cf14b9efb6f4c9212

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 3acc7ffa0f48f29749ea095b40123dffdb9f7c5b516ca4f6497c3da68d8e3778
MD5 3a224c9656e372fc4861aad9bcd5174b
BLAKE2b-256 5d4be42ce42be1a6b8fa5147296f75676fe51cfb1026303cc31317cb1cd301db

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: slvs-3.2rc1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 259.5 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for slvs-3.2rc1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 3bd6a1b6866e533e11500252bf40512f6bdf32102587674264a008ecfe0ade67
MD5 664d8ce7d9d9c160c8e36cb1c7f72cc5
BLAKE2b-256 e12dda131fd5b9728581eee42ecc1b313632f20c32fca21e0ec9589968203537

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp39-cp39-win32.whl.

File metadata

  • Download URL: slvs-3.2rc1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 165.7 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for slvs-3.2rc1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 2cb58ebba4f9d65e9b2d75da7751e301d345a0b3e4cb8803568daa7b5858e324
MD5 efb9388e03380743d0e0fd2414b9d860
BLAKE2b-256 e8ec3151d51a799f771e004039253d22a5c4d75ec6fb265de7fbeddceed8fbbb

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 372aca2e1ba0d1b6ecace064c01a85f0fdeb0e8511b55761f721b53a07996803
MD5 9b3e8a3be4365427e877b9456ae5c2bb
BLAKE2b-256 0b031808fe6a6c911301eabec196bab3ad74532998d4d6b9b45e0d3460905fa8

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp39-cp39-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp39-cp39-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 c0120d909be5b2398af74eee574b47658b9708a0dba41cf7eaaaab8cce378214
MD5 3147aaf4d3c80a5b9dbd9543f7601570
BLAKE2b-256 67587f3708bd5833116bd20f2f00110b6fcea2bace9ec9a5c17a3ad12ac1f920

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0180cc08e09e42c71c998c601988b1a4dbbb68052aa970055b3bb5050063e310
MD5 a44f8d713492f5a888150fa0662ca33d
BLAKE2b-256 3b5f0277a03f773ca2b81094fb9297d9cb00f4d3d01a8f1d40de1ef4054396f1

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b78b05460e69e303a2c932db06caa2af13705f9834b8fec079d04845229c2874
MD5 9ed73150e22852dd80cf3238c0b66478
BLAKE2b-256 bee6babe52b51dcacab4dc49f542183c917fc4af7d5d3e32e5964ab7ecd41afc

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: slvs-3.2rc1-cp39-cp39-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 237.1 kB
  • Tags: CPython 3.9, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for slvs-3.2rc1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7487c2c5cf127f5f0415a4dfcb061be7f7561418f4b59a86ca2eeadc89490d38
MD5 3dc2eb4b4d2df053a8f5a101c804fe8a
BLAKE2b-256 42a7a8fddd869e7aee44cb941c060f0847a3d8af3b944ac8d58ed6f7baa455a8

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp39-cp39-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp39-cp39-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 18368a1215ec7c44fd6e05ede03729e71239d647536fae0122c0e1dcdbfbf646
MD5 1212fa6a30bfc369e1bfcd15450f9cf1
BLAKE2b-256 38c285bd0e1d62152a61190868330f68931370c965c9531fdf2f619a95fd4dd2

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: slvs-3.2rc1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 260.2 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for slvs-3.2rc1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 97ad61c96b8225a22ac641056400a8155b4f0bc9630e358b133d9e4dc46cc1cb
MD5 a308dfcab70d573cf758101d637f4c18
BLAKE2b-256 50977e4eccc000a1e795dca5fdd83790ad87cfc431705e92a2bddf3934823f56

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp38-cp38-win32.whl.

File metadata

  • Download URL: slvs-3.2rc1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 217.3 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for slvs-3.2rc1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 b82807b804b956e276efd093b64e58c1c515e28d17fafcf7dd32e7b27e3b1833
MD5 f10e45e25ac826da463a5c76176ae05a
BLAKE2b-256 257a4264faea8e7d24e7fb9485af4e09088673cb1d1049c2e855b2df9daa60c7

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 713a88e8fc8d878e46719c7ba6cacb258da8b92f8cc457069ac02eee66ebcd6e
MD5 bed3ae32d178e6a386f53dbb7658978f
BLAKE2b-256 d83ee536bc00fb622b1335aa7b7cb3ab318f0ff79d10a990271b77ea7adb1fab

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp38-cp38-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp38-cp38-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 9efec853395aae8545d7e9ac787440acc24aff48326837b46dfc83d7c8a1a8f1
MD5 a7b7cff6d848e508ebb6ce2826ad0612
BLAKE2b-256 f4284592794d7e196b821701aa75a033f1c34d0eb668f0d9e6984088c3d1f6f4

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1aacae4aaacd71ccc140f4d62f4a4f333bf9d9da01f0c394a86fac34bc54f1be
MD5 5cc73fc047236a6401c5c7f49b0652e2
BLAKE2b-256 9736323bf10acaf03509cbc1287040bafbb1dd06daa83cd38cbb6b1b96994385

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c1fa7bf71cc9561d4091b6f6419e043ecf32840e6848087aa5ed4851748bf5af
MD5 f2016880344f149ff8b5ad1231ce1d0c
BLAKE2b-256 2fc5ecd2ce41e2c5dd58d6fd3bf6fbec45b06bd48b29b1bfd6238e25d62488f8

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

  • Download URL: slvs-3.2rc1-cp38-cp38-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 237.6 kB
  • Tags: CPython 3.8, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for slvs-3.2rc1-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 dbb263a7a0cd6970722e02941b8afc5244ffbec2213495143dc44101a06e4809
MD5 b14bcb1539088e9c950f32e703a8e104
BLAKE2b-256 ebb713ac79a696d4a1b386996c1ffaaef7e60b0601e8528de44239b05bc2e91c

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp38-cp38-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp38-cp38-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 6cbb53e0efe7cd4384b75f0b63846e2eda0fcd97408d5b7f2a0d795800804cf9
MD5 fb604ad96b5b913131f7b9b16d4e8544
BLAKE2b-256 1a60d7b734580102ea85597497d094ab8e0902391dbc128da950138c1954bd48

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: slvs-3.2rc1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 203.4 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for slvs-3.2rc1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 f847e57aec5a6e632c0a9f83482076b532466a66aacf9e3c28b11df2df6882c7
MD5 6bc2ed9ec44dacd1b490f83d9a538410
BLAKE2b-256 d7f8798603307d557f506509fd971fafe2fe666b3b5f4457f22279dfc921b87c

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: slvs-3.2rc1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 176.1 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for slvs-3.2rc1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 d0fa4e5075250c944791ab33001ff12bdf8b84b8fb30f075a9f2bf0345579069
MD5 c55c0f4b3a697ab4ad9dd2b6f084353c
BLAKE2b-256 002c1b25329948ce1b9453089babf0067ad70b2d0ec49fa517b6337ec74ad51c

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp37-cp37m-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp37-cp37m-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 d02403eaea2cf2e2e6e75796b5ef5154d81587f4e771d4e0b71550bb5f6c83b2
MD5 6a2aab40013275d889bd74b15bc31243
BLAKE2b-256 a2aed0d49b507ad22b4b7062279d0484c581b29b7b88f8fd0799a228e533707b

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp37-cp37m-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp37-cp37m-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 154f69e45d2a93c6d667bfdc84bee6699fae06a4142b321806bf303ca324b9f5
MD5 4993a82f1a56b88c1e051ec074a63e20
BLAKE2b-256 aa4c400cb8911b8d6cb7d64a1d8f0172007a9809d0d143bfe4af7b7fe1543aed

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dc22eee93a82565b79c31ea44400b4f249f531d14f2f9c76b633e2055f3a8a99
MD5 55cf9b4bfcca856f6f5a759da445f3d8
BLAKE2b-256 03ccc927c3768447cd172daee520022d3680f330ac9246180562feaff120f475

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 37361c4f0cd1f7cf8694fc55328e22232e8a1a2d8cedcdc0843cce948e21795a
MD5 2fa3db393dc118a4ee818c171b868857
BLAKE2b-256 db28550b258ef6dd08106d5c5cd4622d6402c57a9cc2ca67707cdfeab6fcf10b

See more details on using hashes here.

File details

Details for the file slvs-3.2rc1-cp37-cp37m-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for slvs-3.2rc1-cp37-cp37m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 e6c7ce710b709474692b9fb6849942ca7ad148e76559c51bc797f9af83cdd67a
MD5 305823335974f9496208517e405b2f3a
BLAKE2b-256 ae9cdc07ff0762a1ae874a310909de560d3303550831d94cdb0082884e0c3ea5

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