numpy-quaddtype@0.0.1

Quad (128-bit) float dtype for numpy

2025-07-02 Python >=3.11.0 wheel

pip install numpy-quaddtype==0.0.1

poetry add numpy-quaddtype==0.0.1

pipenv install numpy-quaddtype==0.0.1

conda install numpy-quaddtype=0.0.1

依赖
`numpy>=2.4`
`pytest; extra == "test"`
`mpmath; extra == "test"`
`pytest-run-parallel; extra == "test"`
`sphinx; extra == "docs"`
`pydata-sphinx-theme; extra == "docs"`
`myst-parser; extra == "docs"`
`sphinx-design; extra == "docs"`
`sphinx-copybutton; extra == "docs"`
`sphinxcontrib-katex; extra == "docs"`

文件名	类型	Python 版本	大小
numpy_quaddtype-0.0.1-cp310-cp310-macosx_11_0_arm64.whl	bdist_wheel	`cp310`	451601 bytes
numpy_quaddtype-0.0.1-cp310-cp310-macosx_11_0_x86_64.whl	bdist_wheel	`cp310`	1838099 bytes
numpy_quaddtype-0.0.1-cp310-cp310-manylinux_2_28_x86_64.whl	bdist_wheel	`cp310`	1021895 bytes
numpy_quaddtype-0.0.1-cp310-cp310-win_amd64.whl	bdist_wheel	`cp310`	1942899 bytes
numpy_quaddtype-0.0.1-cp311-cp311-macosx_11_0_arm64.whl	bdist_wheel	`cp311`	451601 bytes
numpy_quaddtype-0.0.1-cp311-cp311-macosx_11_0_x86_64.whl	bdist_wheel	`cp311`	1838081 bytes
numpy_quaddtype-0.0.1-cp311-cp311-manylinux_2_28_x86_64.whl	bdist_wheel	`cp311`	1021900 bytes
numpy_quaddtype-0.0.1-cp311-cp311-win_amd64.whl	bdist_wheel	`cp311`	1942890 bytes
numpy_quaddtype-0.0.1-cp312-cp312-macosx_11_0_arm64.whl	bdist_wheel	`cp312`	451801 bytes
numpy_quaddtype-0.0.1-cp312-cp312-macosx_11_0_x86_64.whl	bdist_wheel	`cp312`	1838526 bytes
numpy_quaddtype-0.0.1-cp312-cp312-manylinux_2_28_x86_64.whl	bdist_wheel	`cp312`	1022179 bytes
numpy_quaddtype-0.0.1-cp312-cp312-win_amd64.whl	bdist_wheel	`cp312`	1942617 bytes

1.0.0 2026-01-23

0.2.2 2025-10-13

0.2.1 2025-10-10

0.2.0 2025-09-12

0.1.0 2025-09-03

0.0.1 2025-07-02