NumPy-QuadDType

A cross-platform Quad (128-bit) float Data-Type for NumPy.

NumPy-QuadDType

Installation

pip install "numpy>=2.4"
pip install numpy-quaddtype

Or with conda-forge:

conda install numpy_quaddtype

Or with mamba:

mamba install numpy_quaddtype

Or grab the development version with

pip install git+https://github.com/numpy/numpy-quaddtype.git

Usage

import numpy as np
from numpy_quaddtype import QuadPrecDType, QuadPrecision

# using sleef backend (default)
np.array([1,2,3], dtype=QuadPrecDType())
np.array([1,2,3], dtype=QuadPrecDType("sleef"))

# using longdouble backend
np.array([1,2,3], dtype=QuadPrecDType("longdouble"))

Installation from source

Linux/Unix/macOS

Prerequisites: gcc/clang, CMake (≥3.15), Python 3.11+, Git, NumPy ≥ 2.4

# setup the virtual env
python3 -m venv temp
source temp/bin/activate

# Install build and test dependencies
pip install pytest meson meson-python "numpy>=2.4"

# To build without QBLAS (default for MSVC)
# export CFLAGS="-DDISABLE_QUADBLAS"
# export CXXFLAGS="-DDISABLE_QUADBLAS"

python -m pip install ".[test]" -v

# Run the tests
python -m pytest tests

Windows

Prerequisites: Visual Studio 2017+ (with MSVC), CMake (≥3.15), Python 3.11+, Git

Setup Development Environment

Open a Developer Command Prompt for VS or Developer PowerShell for VS to ensure MSVC is properly configured.

Setup Python Environment

# Create and activate virtual environment
python -m venv numpy_quad_env
.\numpy_quad_env\Scripts\Activate.ps1

# Install build dependencies
pip install -U pip
pip install numpy pytest ninja meson

Set Environment Variables

# Note: QBLAS is disabled on Windows due to MSVC compatibility issues
$env:CFLAGS = "/DDISABLE_QUADBLAS"
$env:CXXFLAGS = "/DDISABLE_QUADBLAS"

Build and Install numpy-quaddtype

# Build and install the package
python -m pip install ".[test]" -v

Test Installation
```
# Run tests
pytest -s tests
```
QBLAS Disabled: QuadBLAS optimization is automatically disabled on Windows builds due to MSVC compatibility issues. This is handled by the -DDISABLE_QUADBLAS compiler flag.
Visual Studio Version: The instructions assume Visual Studio 2022. For other versions, adjust the generator string:
- VS 2019: "Visual Studio 16 2019"
- VS 2017: "Visual Studio 15 2017"
Architecture: The instructions are for x64. For x86 builds, change -A x64 to -A Win32.

Build Options

Disabling FMA (Fused Multiply-Add)

On older x86-64 CPUs without FMA support (e.g., Sandy Bridge / x86_64-v2), the SLEEF's PURECFMA scalar code path will cause illegal instruction errors. By default, FMA support is auto-detected at build time, but you can explicitly disable it:

pip install . -Csetup-args=-Ddisable_fma=true

This is a workaround for a SLEEF issue where PURECFMA scalar functions are unconditionally compiled with FMA instructions even on systems that don't support them.

When to use this option:

Building on or for x86_64-v2 (Sandy Bridge era) CPUs
Cross-compiling for older x86_64 targets
Running in emulators/VMs that don't expose FMA capability

Building with ThreadSanitizer (TSan)

This is a development feature to help detect threading issues. To build numpy-quaddtype with TSan enabled, follow these steps:

Use of clang is recommended with machine NOT supporting libquadmath (like ARM64). Set the compiler to clang/clang++ before proceeding.
export CC=clang
export CXX=clang++

Compile free-threaded CPython with TSan support. Follow the Python Free-Threading Guide for detailed instructions.
Create and activate a virtual environment using the TSan-enabled Python build.
Installing dependencies:

python -m pip install meson meson-python wheel ninja
# Need NumPy built with TSan as well
python -m pip install "numpy @ git+https://github.com/numpy/numpy" -C'setup-args=-Db_sanitize=thread'

Building SLEEF with TSan:

# clone the repository
git clone https://github.com/shibatch/sleef.git
cd sleef
git checkout 43a0252ba9331adc7fb10755021f802863678c38

# Build SLEEF with TSan
cmake \
-DCMAKE_C_COMPILER=clang \
-DCMAKE_CXX_COMPILER=clang++ \
-DCMAKE_C_FLAGS="-fsanitize=thread -g -O1" \
-DCMAKE_CXX_FLAGS="-fsanitize=thread -g -O1" \
-DCMAKE_EXE_LINKER_FLAGS="-fsanitize=thread" \
-DCMAKE_SHARED_LINKER_FLAGS="-fsanitize=thread" \
-DSLEEF_BUILD_QUAD=ON \
-DSLEEF_BUILD_TESTS=OFF \
-DCMAKE_INSTALL_PREFIX=/usr/local
-S . -B build

cmake --build build -j --clean-first
cmake --install build

Build and install numpy-quaddtype with TSan:

# SLEEF is already installed with TSan, we need to provide proper flags to numpy-quaddtype's meson file
# So that it does not build SLEEF again and use the installed one.

export CFLAGS="-fsanitize=thread -g -O0"
export CXXFLAGS="-fsanitize=thread -g -O0"
export LDFLAGS="-fsanitize=thread"
python -m pip install . -vv -Csetup-args=-Db_sanitize=thread

Building the documentation

The documentation for the numpy-quaddtype package is built using Sphinx. To build the documentation, follow these steps:

Install the required dependencies:
```
pip install ."[docs]"
```
Navigate to the docs directory and build the documentation:
```
cd docs/
make html
```
The generated HTML documentation can be found in the _build/html directory within the docs folder. Open the index.html file in a web browser to view the documentation, or use a local server to serve the files:
```
python3 -m http.server --directory _build/html
```

Serving the documentation

The documentation is automatically built and served using GitHub Pages. Every time changes are pushed to the main branch, the documentation is rebuilt and deployed to the gh-pages branch of the repository. You can access the documentation at:

https://numpy.org/numpy-quaddtype/

Check the .github/workflows/build_docs.yml file for details.

Development Tips

Cleaning the Build Directory

The subproject folders (subprojects/sleef, subprojects/qblas) are cloned as git repositories. To fully clean them, use double force:

git clean -ffxd

Metadata

Release files for numpy-quaddtype 1.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for numpy-quaddtype 1.0.0
File	Size	Uploaded
numpy_quaddtype-1.0.0.tar.gz	140.8 kB	Jan 23, 2026	Details

Built distributions (wheels)

Table of built distributions (wheels) for numpy-quaddtype 1.0.0
File	Interpreter	ABI	Platform	Reset
numpy_quaddtype-1.0.0-cp314-cp314t-win_amd64.whl 1.5 MB Jan 23, 2026	CPython 3.14	CPython 3.14 free-threading	Windows x86-64	Details
numpy_quaddtype-1.0.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 920.2 kB Jan 23, 2026	CPython 3.14	CPython 3.14 free-threading	Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64	Details
numpy_quaddtype-1.0.0-cp314-cp314t-macosx_15_0_x86_64.whl 915.0 kB Jan 23, 2026	CPython 3.14	CPython 3.14 free-threading	macOS 15.0+ x86-64	Details
numpy_quaddtype-1.0.0-cp314-cp314t-macosx_15_0_arm64.whl 740.4 kB Jan 23, 2026	CPython 3.14	CPython 3.14 free-threading	macOS 15.0+ ARM64	Details
numpy_quaddtype-1.0.0-cp314-cp314t-macosx_14_0_arm64.whl 750.7 kB Jan 23, 2026	CPython 3.14	CPython 3.14 free-threading	macOS 14.0+ ARM64	Details
numpy_quaddtype-1.0.0-cp314-cp314-win_amd64.whl 1.5 MB Jan 23, 2026	CPython 3.14	CPython 3.14	Windows x86-64	Details
numpy_quaddtype-1.0.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 917.0 kB Jan 23, 2026	CPython 3.14	CPython 3.14	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
numpy_quaddtype-1.0.0-cp314-cp314-macosx_15_0_x86_64.whl 911.3 kB Jan 23, 2026	CPython 3.14	CPython 3.14	macOS 15.0+ x86-64	Details
numpy_quaddtype-1.0.0-cp314-cp314-macosx_15_0_arm64.whl 737.4 kB Jan 23, 2026	CPython 3.14	CPython 3.14	macOS 15.0+ ARM64	Details
numpy_quaddtype-1.0.0-cp314-cp314-macosx_14_0_arm64.whl 747.6 kB Jan 23, 2026	CPython 3.14	CPython 3.14	macOS 14.0+ ARM64	Details
numpy_quaddtype-1.0.0-cp313-cp313t-win_amd64.whl 1.5 MB Jan 23, 2026	CPython 3.13	CPython 3.13 free-threading	Windows x86-64	Details
numpy_quaddtype-1.0.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 920.2 kB Jan 23, 2026	CPython 3.13	CPython 3.13 free-threading	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
numpy_quaddtype-1.0.0-cp313-cp313t-macosx_15_0_x86_64.whl 915.0 kB Jan 23, 2026	CPython 3.13	CPython 3.13 free-threading	macOS 15.0+ x86-64	Details
numpy_quaddtype-1.0.0-cp313-cp313t-macosx_15_0_arm64.whl 740.4 kB Jan 23, 2026	CPython 3.13	CPython 3.13 free-threading	macOS 15.0+ ARM64	Details
numpy_quaddtype-1.0.0-cp313-cp313t-macosx_14_0_arm64.whl 750.7 kB Jan 23, 2026	CPython 3.13	CPython 3.13 free-threading	macOS 14.0+ ARM64	Details
numpy_quaddtype-1.0.0-cp313-cp313-win_amd64.whl 1.5 MB Jan 23, 2026	CPython 3.13	CPython 3.13	Windows x86-64	Details
numpy_quaddtype-1.0.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 916.9 kB Jan 23, 2026	CPython 3.13	CPython 3.13	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
numpy_quaddtype-1.0.0-cp313-cp313-macosx_15_0_x86_64.whl 911.1 kB Jan 23, 2026	CPython 3.13	CPython 3.13	macOS 15.0+ x86-64	Details
numpy_quaddtype-1.0.0-cp313-cp313-macosx_15_0_arm64.whl 737.3 kB Jan 23, 2026	CPython 3.13	CPython 3.13	macOS 15.0+ ARM64	Details
numpy_quaddtype-1.0.0-cp313-cp313-macosx_14_0_arm64.whl 747.4 kB Jan 23, 2026	CPython 3.13	CPython 3.13	macOS 14.0+ ARM64	Details
numpy_quaddtype-1.0.0-cp312-cp312-win_amd64.whl 1.5 MB Jan 23, 2026	CPython 3.12	CPython 3.12	Windows x86-64	Details
numpy_quaddtype-1.0.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 916.9 kB Jan 23, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64	Details
numpy_quaddtype-1.0.0-cp312-cp312-macosx_15_0_x86_64.whl 911.2 kB Jan 23, 2026	CPython 3.12	CPython 3.12	macOS 15.0+ x86-64	Details
numpy_quaddtype-1.0.0-cp312-cp312-macosx_15_0_arm64.whl 737.3 kB Jan 23, 2026	CPython 3.12	CPython 3.12	macOS 15.0+ ARM64	Details
numpy_quaddtype-1.0.0-cp312-cp312-macosx_14_0_arm64.whl 747.4 kB Jan 23, 2026	CPython 3.12	CPython 3.12	macOS 14.0+ ARM64	Details
numpy_quaddtype-1.0.0-cp311-cp311-win_amd64.whl 1.5 MB Jan 23, 2026	CPython 3.11	CPython 3.11	Windows x86-64	Details
numpy_quaddtype-1.0.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 916.1 kB Jan 23, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64	Details
numpy_quaddtype-1.0.0-cp311-cp311-macosx_15_0_x86_64.whl 910.9 kB Jan 23, 2026	CPython 3.11	CPython 3.11	macOS 15.0+ x86-64	Details
numpy_quaddtype-1.0.0-cp311-cp311-macosx_15_0_arm64.whl 737.2 kB Jan 23, 2026	CPython 3.11	CPython 3.11	macOS 15.0+ ARM64	Details
numpy_quaddtype-1.0.0-cp311-cp311-macosx_14_0_arm64.whl 747.1 kB Jan 23, 2026	CPython 3.11	CPython 3.11	macOS 14.0+ ARM64	Details

Total release size: 28.9 MB

Release files / numpy_quaddtype-1.0.0.tar.gz

Download URL	numpy_quaddtype-1.0.0.tar.gz
Size	140.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`e2844e879dd6f4b44971e318d17cf2c5fa1f9fd2f04d0a50fe8813139e6dcf29`
BLAKE2b-256 checksum How to use checksums	`e08b7a88882808ac17a6f8d73253b785a969ea7acec34a2fd14425e4947bfae4`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0.tar.gz
SHA-256 checksum: e2844e879dd6f4b44971e318d17cf2c5fa1f9fd2f04d0a50fe8813139e6dcf29 Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp314-cp314t-win_amd64.whl

Download URL	numpy_quaddtype-1.0.0-cp314-cp314t-win_amd64.whl
Size	1.5 MB
Tags	CPython 3.14 CPython 3.14 free-threading Windows x86-64
SHA-256 checksum How to use checksums	`3fcd5fa54141c8a6455847b6b0eda4a5818b4a07c9b56fd16e6e7bb300142b44`
BLAKE2b-256 checksum How to use checksums	`785f66ebf1ea51706cacf903963740f1fc92bce2fa0f6913c1280ef243807cc0`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp314-cp314t-win_amd64.whl
SHA-256 checksum: 3fcd5fa54141c8a6455847b6b0eda4a5818b4a07c9b56fd16e6e7bb300142b44 Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	numpy_quaddtype-1.0.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size	920.2 kB
Tags	CPython 3.14 CPython 3.14 free-threading Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`2ebce04a3b6c6353aacdc0f02d4e188931467150d842261552eee301106a6fe7`
BLAKE2b-256 checksum How to use checksums	`7bc7051b29859f64e2d990a308bc28dc3ea747688574929d0e131f5318d67ab3`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: 2ebce04a3b6c6353aacdc0f02d4e188931467150d842261552eee301106a6fe7 Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp314-cp314t-macosx_15_0_x86_64.whl

Download URL	numpy_quaddtype-1.0.0-cp314-cp314t-macosx_15_0_x86_64.whl
Size	915.0 kB
Tags	CPython 3.14 CPython 3.14 free-threading macOS 15.0+ x86-64
SHA-256 checksum How to use checksums	`bcac820aba55d1c656438265db18f0d8dc399657297df17f6ee6d5c27ccd353c`
BLAKE2b-256 checksum How to use checksums	`be925bbd77216e9fc5d18be1bc35f0b0bca727b62c064bd373560901876070ff`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp314-cp314t-macosx_15_0_x86_64.whl
SHA-256 checksum: bcac820aba55d1c656438265db18f0d8dc399657297df17f6ee6d5c27ccd353c Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp314-cp314t-macosx_15_0_arm64.whl

Download URL	numpy_quaddtype-1.0.0-cp314-cp314t-macosx_15_0_arm64.whl
Size	740.4 kB
Tags	CPython 3.14 CPython 3.14 free-threading macOS 15.0+ ARM64
SHA-256 checksum How to use checksums	`2c5486bfb2cec925e226406af7cdd943d13ea978fd5c02fbda6398a674626453`
BLAKE2b-256 checksum How to use checksums	`7563e6b9366e2dc025c9fd5153b1a8d76451d4e95e90afc6d067b664950e9a67`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp314-cp314t-macosx_15_0_arm64.whl
SHA-256 checksum: 2c5486bfb2cec925e226406af7cdd943d13ea978fd5c02fbda6398a674626453 Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp314-cp314t-macosx_14_0_arm64.whl

Download URL	numpy_quaddtype-1.0.0-cp314-cp314t-macosx_14_0_arm64.whl
Size	750.7 kB
Tags	CPython 3.14 CPython 3.14 free-threading macOS 14.0+ ARM64
SHA-256 checksum How to use checksums	`eb9e0a6cfcfafbc8d15326b17198ac6d27924147d97b97914f992467135abd30`
BLAKE2b-256 checksum How to use checksums	`a271ca4c1215492892760834c672a25fd717143ace23c57059ca9baf806cd8af`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp314-cp314t-macosx_14_0_arm64.whl
SHA-256 checksum: eb9e0a6cfcfafbc8d15326b17198ac6d27924147d97b97914f992467135abd30 Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp314-cp314-win_amd64.whl

Download URL	numpy_quaddtype-1.0.0-cp314-cp314-win_amd64.whl
Size	1.5 MB
Tags	CPython 3.14 Windows x86-64
SHA-256 checksum How to use checksums	`9c1d0a7a2334531b87515ec343c27f1bebf2ef98a031280a88a727afcb32fa72`
BLAKE2b-256 checksum How to use checksums	`f888759e18742c79b7211a0c525c249d21f8461e76516ad3e6f91b62245d93c6`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp314-cp314-win_amd64.whl
SHA-256 checksum: 9c1d0a7a2334531b87515ec343c27f1bebf2ef98a031280a88a727afcb32fa72 Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	numpy_quaddtype-1.0.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size	917.0 kB
Tags	CPython 3.14 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`c2ffb2464c7456c77d88be6485985ecefdfcafd15325dc098336da5fe66796aa`
BLAKE2b-256 checksum How to use checksums	`a05110737919683717f37844bf6465107d76a3d872eb74897b031e9926c26f5a`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: c2ffb2464c7456c77d88be6485985ecefdfcafd15325dc098336da5fe66796aa Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp314-cp314-macosx_15_0_x86_64.whl

Download URL	numpy_quaddtype-1.0.0-cp314-cp314-macosx_15_0_x86_64.whl
Size	911.3 kB
Tags	CPython 3.14 macOS 15.0+ x86-64
SHA-256 checksum How to use checksums	`d86e050d0f07cbfffa7e088c343e72efec463e602d10e60d3f7825ed3c8f45c5`
BLAKE2b-256 checksum How to use checksums	`b4e1961f2c71dea063b93827d4dfdee544995bc0d30473db5d0f6f3cdf6fe203`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp314-cp314-macosx_15_0_x86_64.whl
SHA-256 checksum: d86e050d0f07cbfffa7e088c343e72efec463e602d10e60d3f7825ed3c8f45c5 Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp314-cp314-macosx_15_0_arm64.whl

Download URL	numpy_quaddtype-1.0.0-cp314-cp314-macosx_15_0_arm64.whl
Size	737.4 kB
Tags	CPython 3.14 macOS 15.0+ ARM64
SHA-256 checksum How to use checksums	`74ccf5775a1755c7fa274e215505e9ef524824a98e7b77a3fe114a3677802c27`
BLAKE2b-256 checksum How to use checksums	`26b5318db6c8e5a46f22a8a1a74c2981a83ce740aa85ca88506358ae77b00607`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp314-cp314-macosx_15_0_arm64.whl
SHA-256 checksum: 74ccf5775a1755c7fa274e215505e9ef524824a98e7b77a3fe114a3677802c27 Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp314-cp314-macosx_14_0_arm64.whl

Download URL	numpy_quaddtype-1.0.0-cp314-cp314-macosx_14_0_arm64.whl
Size	747.6 kB
Tags	CPython 3.14 macOS 14.0+ ARM64
SHA-256 checksum How to use checksums	`bd4f6e390bd7062176b6e4162615b87fd1a636382daf1f3b4987dc3fca140ed0`
BLAKE2b-256 checksum How to use checksums	`40b4a26c78acc12b872c61f93b63f370082dc0d66a9950141c8841795bee9a02`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp314-cp314-macosx_14_0_arm64.whl
SHA-256 checksum: bd4f6e390bd7062176b6e4162615b87fd1a636382daf1f3b4987dc3fca140ed0 Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp313-cp313t-win_amd64.whl

Download URL	numpy_quaddtype-1.0.0-cp313-cp313t-win_amd64.whl
Size	1.5 MB
Tags	CPython 3.13 CPython 3.13 free-threading Windows x86-64
SHA-256 checksum How to use checksums	`7ec99a1669c40a9648fee548bc561a0394ae57c5882d1483df7f58389794de3d`
BLAKE2b-256 checksum How to use checksums	`acd02de45309412818867a02a6334314e5073caa268ab6cfbeb77638962060aa`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp313-cp313t-win_amd64.whl
SHA-256 checksum: 7ec99a1669c40a9648fee548bc561a0394ae57c5882d1483df7f58389794de3d Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	numpy_quaddtype-1.0.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size	920.2 kB
Tags	CPython 3.13 CPython 3.13 free-threading Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`a4b1092b08787bbc2f1b30a770ac7686783ae6da8b9cd63ca22ad03a03579d8f`
BLAKE2b-256 checksum How to use checksums	`1cf98d5b3329ce3dc60c90f4b4d81ded66f0c5747e1f921858c823d4c222ad3d`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: a4b1092b08787bbc2f1b30a770ac7686783ae6da8b9cd63ca22ad03a03579d8f Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp313-cp313t-macosx_15_0_x86_64.whl

Download URL	numpy_quaddtype-1.0.0-cp313-cp313t-macosx_15_0_x86_64.whl
Size	915.0 kB
Tags	CPython 3.13 CPython 3.13 free-threading macOS 15.0+ x86-64
SHA-256 checksum How to use checksums	`e0efddeeffdf00e8a9dde00bcd483948d34e941b96a9d017303f682f5f10ff9c`
BLAKE2b-256 checksum How to use checksums	`e909ef1d70b2124c8b90cd774fcb42d180cd112389652cd3b6714417b57666d6`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp313-cp313t-macosx_15_0_x86_64.whl
SHA-256 checksum: e0efddeeffdf00e8a9dde00bcd483948d34e941b96a9d017303f682f5f10ff9c Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp313-cp313t-macosx_15_0_arm64.whl

Download URL	numpy_quaddtype-1.0.0-cp313-cp313t-macosx_15_0_arm64.whl
Size	740.4 kB
Tags	CPython 3.13 CPython 3.13 free-threading macOS 15.0+ ARM64
SHA-256 checksum How to use checksums	`e55ac0c71a3c838cef07e7c772cc8e026b8ce7edd647dd335034fd641012ffbc`
BLAKE2b-256 checksum How to use checksums	`5998e314326d497679e26d0680986c7c4f5a0061f0d949e9e0b57dba47b0635c`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp313-cp313t-macosx_15_0_arm64.whl
SHA-256 checksum: e55ac0c71a3c838cef07e7c772cc8e026b8ce7edd647dd335034fd641012ffbc Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp313-cp313t-macosx_14_0_arm64.whl

Download URL	numpy_quaddtype-1.0.0-cp313-cp313t-macosx_14_0_arm64.whl
Size	750.7 kB
Tags	CPython 3.13 CPython 3.13 free-threading macOS 14.0+ ARM64
SHA-256 checksum How to use checksums	`d6740ec01feaad78180654374979b93a0b141e7ba49c05440eb4b97da4ea6947`
BLAKE2b-256 checksum How to use checksums	`982ed0a906443516ed01a29b1d2f8953f5e397da749322422cb49a5ff95f2a8f`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp313-cp313t-macosx_14_0_arm64.whl
SHA-256 checksum: d6740ec01feaad78180654374979b93a0b141e7ba49c05440eb4b97da4ea6947 Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp313-cp313-win_amd64.whl

Download URL	numpy_quaddtype-1.0.0-cp313-cp313-win_amd64.whl
Size	1.5 MB
Tags	CPython 3.13 Windows x86-64
SHA-256 checksum How to use checksums	`d38bc5b82ec1652aeb1d3a8f4fa0cca868fde106211d0500b6c277c244be3f72`
BLAKE2b-256 checksum How to use checksums	`fec6a3c94d1cccc31ff84ff0a1e61d1500c49f507bd9828083294219c45cabef`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp313-cp313-win_amd64.whl
SHA-256 checksum: d38bc5b82ec1652aeb1d3a8f4fa0cca868fde106211d0500b6c277c244be3f72 Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	numpy_quaddtype-1.0.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size	916.9 kB
Tags	CPython 3.13 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`400f1ae58a4bed855a212a81794b1ecc2ddcf1b8ab832e15d7778c0d505ea1c9`
BLAKE2b-256 checksum How to use checksums	`df3176ed067ea8df6a372a63376d6a300b75406092f57492be81b4f6e0a22943`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: 400f1ae58a4bed855a212a81794b1ecc2ddcf1b8ab832e15d7778c0d505ea1c9 Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp313-cp313-macosx_15_0_x86_64.whl

Download URL	numpy_quaddtype-1.0.0-cp313-cp313-macosx_15_0_x86_64.whl
Size	911.1 kB
Tags	CPython 3.13 macOS 15.0+ x86-64
SHA-256 checksum How to use checksums	`1726af51088650d6592f398c16f7c6a196f0d38839f8f2e93eaedaa4b5d7c7c1`
BLAKE2b-256 checksum How to use checksums	`67f064781b629c17d676eeaf3b7a793fa7030c534293e91e29dfb3545fdd5c28`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp313-cp313-macosx_15_0_x86_64.whl
SHA-256 checksum: 1726af51088650d6592f398c16f7c6a196f0d38839f8f2e93eaedaa4b5d7c7c1 Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp313-cp313-macosx_15_0_arm64.whl

Download URL	numpy_quaddtype-1.0.0-cp313-cp313-macosx_15_0_arm64.whl
Size	737.3 kB
Tags	CPython 3.13 macOS 15.0+ ARM64
SHA-256 checksum How to use checksums	`c9dbf183eaecc64f48be48c18f81a5e3dee25185f156dc89e1a3fc9f76dc87be`
BLAKE2b-256 checksum How to use checksums	`f2a3488b054f683a74a95e09f48716e634641d419017a211c0ed1791b523632e`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp313-cp313-macosx_15_0_arm64.whl
SHA-256 checksum: c9dbf183eaecc64f48be48c18f81a5e3dee25185f156dc89e1a3fc9f76dc87be Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp313-cp313-macosx_14_0_arm64.whl

Download URL	numpy_quaddtype-1.0.0-cp313-cp313-macosx_14_0_arm64.whl
Size	747.4 kB
Tags	CPython 3.13 macOS 14.0+ ARM64
SHA-256 checksum How to use checksums	`3e3811b350f23c4f73cef78dd3b589423fe46700ca094e1bb6e877f1fc248d21`
BLAKE2b-256 checksum How to use checksums	`cad02f4b464648178acf046a180ae511c314ec3a2a7045b975cab30da1a403f7`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp313-cp313-macosx_14_0_arm64.whl
SHA-256 checksum: 3e3811b350f23c4f73cef78dd3b589423fe46700ca094e1bb6e877f1fc248d21 Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp312-cp312-win_amd64.whl

Download URL	numpy_quaddtype-1.0.0-cp312-cp312-win_amd64.whl
Size	1.5 MB
Tags	CPython 3.12 Windows x86-64
SHA-256 checksum How to use checksums	`30076d0a769fc8ad20b150b990d2dbedd7c25deb8acc783768caf7ac67640539`
BLAKE2b-256 checksum How to use checksums	`3ed6de60615b320578115bdcbbf6815c04ac84e299b99cca9f40a10a2eeb6d65`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp312-cp312-win_amd64.whl
SHA-256 checksum: 30076d0a769fc8ad20b150b990d2dbedd7c25deb8acc783768caf7ac67640539 Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	numpy_quaddtype-1.0.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size	916.9 kB
Tags	CPython 3.12 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`c63dc6e0b68a9decbfd4b8ce5f6aee40e357d120e82788ced606ceeb21223c36`
BLAKE2b-256 checksum How to use checksums	`c4d724d6b38294f96ae8b7d9bc8a4c87b772c7caa5c9277804fcd3aa26f5d416`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: c63dc6e0b68a9decbfd4b8ce5f6aee40e357d120e82788ced606ceeb21223c36 Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp312-cp312-macosx_15_0_x86_64.whl

Download URL	numpy_quaddtype-1.0.0-cp312-cp312-macosx_15_0_x86_64.whl
Size	911.2 kB
Tags	CPython 3.12 macOS 15.0+ x86-64
SHA-256 checksum How to use checksums	`8028438519dbb133f1cc51a110855faaaeac665ae32c8c9be2a8df1d0dc265f2`
BLAKE2b-256 checksum How to use checksums	`811a04b973047925aa367bda0799660d4eb240fa1c2fba70468516a6d5559c11`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp312-cp312-macosx_15_0_x86_64.whl
SHA-256 checksum: 8028438519dbb133f1cc51a110855faaaeac665ae32c8c9be2a8df1d0dc265f2 Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp312-cp312-macosx_15_0_arm64.whl

Download URL	numpy_quaddtype-1.0.0-cp312-cp312-macosx_15_0_arm64.whl
Size	737.3 kB
Tags	CPython 3.12 macOS 15.0+ ARM64
SHA-256 checksum How to use checksums	`73159b5c921bb8ff0503dcb37e16e8708360762929ecf594f8e567a72144c71c`
BLAKE2b-256 checksum How to use checksums	`5c48c286ba68f40bd6cf7a7d9f0a7910f6b613f42ba8fa3c5863adf5b64f1d4b`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp312-cp312-macosx_15_0_arm64.whl
SHA-256 checksum: 73159b5c921bb8ff0503dcb37e16e8708360762929ecf594f8e567a72144c71c Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp312-cp312-macosx_14_0_arm64.whl

Download URL	numpy_quaddtype-1.0.0-cp312-cp312-macosx_14_0_arm64.whl
Size	747.4 kB
Tags	CPython 3.12 macOS 14.0+ ARM64
SHA-256 checksum How to use checksums	`46239dece67e65f89f1c8241e3501f79007f559037314803df2eb3006b65d800`
BLAKE2b-256 checksum How to use checksums	`f3de0c7cd0bd21580a5ee042c781175e7a5c76d2f0cc6ff04e0ca3f70280d922`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp312-cp312-macosx_14_0_arm64.whl
SHA-256 checksum: 46239dece67e65f89f1c8241e3501f79007f559037314803df2eb3006b65d800 Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp311-cp311-win_amd64.whl

Download URL	numpy_quaddtype-1.0.0-cp311-cp311-win_amd64.whl
Size	1.5 MB
Tags	CPython 3.11 Windows x86-64
SHA-256 checksum How to use checksums	`da9c1c1465f3fdb886f301e125a1939e3ad74c2ce499a6a4420386851941ce0b`
BLAKE2b-256 checksum How to use checksums	`9c0d3667ecdc193faaf02391e4640d97f8dced2cd6faa173e85eb7e7e6f3233f`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp311-cp311-win_amd64.whl
SHA-256 checksum: da9c1c1465f3fdb886f301e125a1939e3ad74c2ce499a6a4420386851941ce0b Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	numpy_quaddtype-1.0.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size	916.1 kB
Tags	CPython 3.11 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`e89b8243fa892f2500f0c3added9f075291e41fd61901a31a9f53cb1644bb20d`
BLAKE2b-256 checksum How to use checksums	`dcebbf192cc505365a474a004e3a3cda9ea15c0c2e15bc88a840f4e7227ed786`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: e89b8243fa892f2500f0c3added9f075291e41fd61901a31a9f53cb1644bb20d Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp311-cp311-macosx_15_0_x86_64.whl

Download URL	numpy_quaddtype-1.0.0-cp311-cp311-macosx_15_0_x86_64.whl
Size	910.9 kB
Tags	CPython 3.11 macOS 15.0+ x86-64
SHA-256 checksum How to use checksums	`4283770a9b56fea336d0dbe0164a1311a73403a5a3e7d9ec475c57c28f94b91f`
BLAKE2b-256 checksum How to use checksums	`5d40fff3476e1b4705ba14bb9628317eb298feaecc92711822df30fe885dfbf0`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp311-cp311-macosx_15_0_x86_64.whl
SHA-256 checksum: 4283770a9b56fea336d0dbe0164a1311a73403a5a3e7d9ec475c57c28f94b91f Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp311-cp311-macosx_15_0_arm64.whl

Download URL	numpy_quaddtype-1.0.0-cp311-cp311-macosx_15_0_arm64.whl
Size	737.2 kB
Tags	CPython 3.11 macOS 15.0+ ARM64
SHA-256 checksum How to use checksums	`b3c61de32101995a4d23dcdbfff1690141a3364def6d6487d6c6eef4d15305ef`
BLAKE2b-256 checksum How to use checksums	`eef7d16ce3e65308b4735c9be6ed49d16ddba86b22a89855ac04e64db853dc56`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp311-cp311-macosx_15_0_arm64.whl
SHA-256 checksum: b3c61de32101995a4d23dcdbfff1690141a3364def6d6487d6c6eef4d15305ef Verifying attestations

Release files / numpy_quaddtype-1.0.0-cp311-cp311-macosx_14_0_arm64.whl

Download URL	numpy_quaddtype-1.0.0-cp311-cp311-macosx_14_0_arm64.whl
Size	747.1 kB
Tags	CPython 3.11 macOS 14.0+ ARM64
SHA-256 checksum How to use checksums	`6240b8e4fa520b08014fb897a2fd7ab4f645224ccbbbc826acfe7ecdb570d5c8`
BLAKE2b-256 checksum How to use checksums	`4d3b0855e20e6716629e391602c97952de47ac548d9ba9ad19a043e8fb3be5ed`
Upload date	Jan 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/numpy/numpy-quaddtype
Publishing commit: github.com/numpy/numpy-quaddtype/tree/8161c89b5df6de9c1a4027e23998e5254aebf61b

Workflow

Publishing configuration: github.com/numpy/numpy-quaddtype/blob/8161c89b5df6de9c1a4027e23998e5254aebf61b/.github/workflows/build_wheels.yml
Publishing logs: github.com/numpy/numpy-quaddtype/actions/runs/21283345704/attempts/1

Artifact

Subject: numpy_quaddtype-1.0.0-cp311-cp311-macosx_14_0_arm64.whl
SHA-256 checksum: 6240b8e4fa520b08014fb897a2fd7ab4f645224ccbbbc826acfe7ecdb570d5c8 Verifying attestations

Release history Release notifications | RSS feed

This release

1.0.0 This release

Jan 23, 2026 31 release files

0.2.2

Oct 13, 2025 29 release files

0.2.1

Oct 10, 2025 29 release files

0.2.0

Sep 12, 2025 29 release files

0.1.0

Sep 3, 2025 29 release files

0.0.1

Jul 2, 2025 12 release files

numpy-quaddtype 1.0.0

NumPy-QuadDType

Table of Contents

Installation

Usage

Installation from source

Linux/Unix/macOS

Windows

Build Options

Disabling FMA (Fused Multiply-Add)

Building with ThreadSanitizer (TSan)

Building the documentation

Serving the documentation

Development Tips

Cleaning the Build Directory

Project links

Key dates

2 maintainers

Credits

GitHub Statistics

License expression

Requires

Provides Extra

Classifiers

Metadata

Project links

Key dates

2 maintainers

Credits

GitHub Statistics

License expression

Requires

Provides Extra

Classifiers

Release files for numpy-quaddtype 1.0.0

Source distribution (sdist)

Built distributions (wheels)

Release files / numpy_quaddtype-1.0.0.tar.gz

Provenance

PyPI Publish Attestation

Identity

Workflow

Artifact

Release files / numpy_quaddtype-1.0.0-cp314-cp314t-win_amd64.whl

Provenance

PyPI Publish Attestation

Identity

Workflow

Artifact

Release files / numpy_quaddtype-1.0.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Provenance

PyPI Publish Attestation

Identity

Workflow

Artifact

Release files / numpy_quaddtype-1.0.0-cp314-cp314t-macosx_15_0_x86_64.whl

Provenance

PyPI Publish Attestation

Identity

Workflow

Artifact

Release files / numpy_quaddtype-1.0.0-cp314-cp314t-macosx_15_0_arm64.whl

Provenance

PyPI Publish Attestation

Identity

Workflow

Artifact

Release files / numpy_quaddtype-1.0.0-cp314-cp314t-macosx_14_0_arm64.whl

Provenance

PyPI Publish Attestation

Identity

Workflow

Artifact

Release files / numpy_quaddtype-1.0.0-cp314-cp314-win_amd64.whl

Provenance

PyPI Publish Attestation

Identity

Workflow

Artifact

Release files / numpy_quaddtype-1.0.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl