NEPAdapters

NEPAdapters 为 NEP 模型提供统一的推理运行时：同一个模型可以通过 Python、C/C++ 或 LAMMPS 调用，并显式选择 CPU 或 CUDA 后端。

如果选中的后端不可用，或该后端不支持当前模型，接口会明确报错，不会静默改用其他后端。普通 NEP、qNEP、spin NEP、dipole、polarizability 和 DFT-D3 使用各自明确的接口，避免输出含义或形状随模型类型悄悄变化。

项目来源与致谢

NEPAdapters 最初从 NepTrainKit 内置的 NEP 运行时中拆分而来。拆分的目的不是重新包装 NEP，也不是替代 GPUMD，而是让计算后端能够脱离桌面应用独立维护、测试和发布，使 NepTrainKit 可以按需更新运行时，也让同一套能力能够被 Python、C/C++ 和 LAMMPS 复用。

各部分的来源和关系如下：

  • CPU 后端以 Zheyong Fan、Junjie Wang、Eric Lindgren 等作者维护的 NEP_CPU 独立 C++ 实现为基础，在保留原版权和 GPL 许可证声明的前提下，继续进行接口适配、正确性修复、OpenMP 并行和性能优化。
  • CUDA 后端由 NEPAdapters 独立实现，没有直接引入 GPUMD 的 CUDA 源码树。它遵循 NEP 论文和 GPUMD 的模型格式、数学定义与结果语义，并以 NEP_CPU 参考结果和 CPU/CUDA 一致性测试约束正确性。这里的“独立实现”指代码和数据流设计独立，不代表重新发明了 NEP 方法。
  • 适配层与前端源自 NepTrainKit 的实际使用需求，负责稳定 API、跨平台打包、运行时能力检查，以及 Python、C/C++ 和 LAMMPS 集成。

NEP 方法及其科学贡献来自 Zheyong Fan 等作者的原创工作，并在 GPUMD 中持续发展。NEPAdapters 的工作重点是工程实现与集成；它不是新的势函数方法，也不是 NEP_CPU 或 GPUMD 的官方发行组成部分。

感谢 NEP 与 GPUMD 作者和社区长期公开算法、代码、文档与验证工作。没有这些基础，NEPAdapters 和 NepTrainKit 都无从建立。GPUMD 的正式文档见 gpumd.org。

先选你要的入口

使用场景 从这里开始
Python / NumPy / ASE Python 接口指南
CMake 构建、测试和安装 构建与安装
LAMMPS CPU 或 CUDA LAMMPS 前端指南
C/C++ API 公共头文件 与 架构说明
测试和正确性验证 测试说明

Python 快速开始

仅使用 NumPy 接口：

python -m pip install nep-adapters

同时使用 ASE：

python -m pip install 'nep-adapters[ase]'

使用 ASE 做一次普通 NEP 计算：

from ase import Atoms
from nep_adapters.ase import NepAseCalculator

atoms = Atoms(
    "Fe2",
    positions=[[0.0, 0.0, 0.0], [1.43, 1.43, 1.43]],
    cell=[2.86, 2.86, 2.86],
    pbc=True,
)
atoms.calc = NepAseCalculator("nep.txt", backend="cpu")

print(atoms.get_potential_energy())
print(atoms.get_forces())

预编译 wheel 支持 CPython 3.10–3.14：

平台 wheel 包含的后端 运行要求
Linux x86_64 CPU + CUDA CPU 可直接使用；CUDA 需要 NVIDIA 驱动和受支持的 GPU
Windows x86_64 CPU + CUDA CPU 可直接使用；CUDA 需要 NVIDIA 驱动和受支持的 GPU
macOS x86_64 / arm64 CPU 不提供 CUDA 后端

Linux 和 Windows 的预编译 wheel 已包含 CUDA 运行时，不要求另外安装 CUDA Toolkit。普通 import nep_adapters 或选择 backend="cpu" 不会初始化 CUDA；只有显式选择 backend="cuda" 或检查 CUDA 状态时才会加载 GPU 扩展。CUDA 加载或计算失败时不会改用 CPU。

CUDA wheel 内置 sm_60 和 sm_89 SASS，并保留 compute_60 PTX。没有对应 SASS 的较新架构会在驱动支持时通过 PTX 即时编译运行，因此兼容范围更广，但可能增加首次加载时间或产生一定性能损失。

可以运行下面的命令检查扩展、驱动、设备，并实际完成一次 CUDA 内存分配、核函数启动、同步和结果回传：

python -c "from nep_adapters import backend_status; s=backend_status('cuda'); print(s); assert s.installed and s.available, s"

需要修改源码或只为本机 GPU 编译时，从仓库安装：

git clone https://github.com/MagTheoryLab/NEPAdapters.git
cd NEPAdapters
python -m pip install '.[ase]'

源码安装会依次查找 CUDACXX、CUDAToolkit_ROOT、CUDA_PATH、 CUDA_HOME 和 PATH 中的 NVCC。检测到 CUDA Toolkit 时自动构建 CPU+CUDA，否则只构建 CPU。不指定 CMAKE_CUDA_ARCHITECTURES 时使用 native，只为构建机器上的 GPU 编译。NEP_CUDA=1 和 NEP_CUDA=0 可分别强制启用或禁用 CUDA。

更多 NumPy batch、qNEP、spin、descriptor 和错误处理示例见 Python 接口指南。

CMake 快速开始

只构建 CPU core 和测试：

cmake -S . -B .build/release \
  -DCMAKE_BUILD_TYPE=Release \
  -DNEP_ADAPTERS_BUILD_TESTS=ON
cmake --build .build/release -j2
ctest --test-dir .build/release --output-on-failure

Python 源码安装会自动查找 NVCC；独立 CMake 和 LAMMPS 构建仍按目标显式 打开 CUDA，避免有 Toolkit 的机器意外改变 CPU-only 构建。完整组合、安装命令 和选项默认值见 构建与安装。

LAMMPS 安装方式

LAMMPS 有两种支持的安装方式：

  • 运行时插件（推荐）：单独构建共享库，通过 LAMMPS_PLUGIN_PATH 加载，不需要重新编译 LAMMPS；
  • 源码树内置：运行 tools/install_lammps_source.py，把受管的 pair style 源文件复制到 lammps/src/，再通过随附的 CMake 配置把 core 和 engine 静态编入 lmp。运行时不需要设置插件环境变量。

不要手工只复制 .cpp 和 .h 文件；安装脚本还会写入连接依赖所需的 CMake 配置、记录文件哈希，并提供安全卸载。两种方式的完整命令见 LAMMPS 前端指南。

当前支持范围

前端 / 后端 普通 NEP qNEP spin NEP 其他响应模型
Python / CPU 支持 charge/BEC 支持 支持 dipole、polarizability、DFT-D3 支持；DFT-D3 仅普通非 spin、非 charge 模型
Python / CUDA 支持 NEP4/NEP5 支持 direct；预编译 wheel 不包含 PPPM 支持 不支持 dipole、polarizability、DFT-D3
LAMMPS / CPU 插件 支持，已完成普通模型 MPI 冒烟测试 尚未列入已验证支持范围 已验证单节点 1/2/4/8 个 MPI 进程，覆盖能量、力、磁力、virial、spin 读回和短程 dynspin 不适用
LAMMPS / CUDA Kokkos 插件 支持 不支持，运行时会明确报错 已验证单节点 1/2/4/8 个 MPI 进程 不适用

补充边界：

  • 所有 Python batch 接口目前只接受全周期 pbc=(1, 1, 1)。
  • LAMMPS spin 不使用单独的 nep/spin/* 名称；仍使用 nep/cpu 或 nep/gpu/kk，并配合 atom_style spin 或 spin/kk。
  • 构建 LAMMPS CPU plugin 且检测到 MPI launcher 时，CTest 除单 rank 外，还会根据 MPIEXEC_MAX_NUMPROCS 自动注册最多 2/4/8 ranks 的 spin 回归；在 Slurm 上应先申请足够的计算资源，再运行 ctest -L mpi --output-on-failure。
  • qNEP 的 CUDA batch API 可用，但 LAMMPS Kokkos 需要独立的 ghost/charge 数据流，因此当前会明确拒绝该组合，不会静默降级。
  • virial 在不同公共入口有不同顺序；调用前请查 Python 接口指南 或 公共 API 契约。

项目结构

  • include/nep_adapters/：公共 C/C++ API 和数据约定；
  • src/：core 注册、调度和错误处理；
  • engines/cpu/、engines/cuda/：计算后端；
  • frontends/python/、frontends/lammps/：用户前端；
  • tests/：契约、fixture、oracle 和集成测试；
  • benchmarks/：性能与扩展性入口。

LAMMPS 和 Python 都是前端，不是计算后端；算法实现只保留在 engine 层。

科研引用

NEPAdapters 目前没有独立的软件论文。论文方法部分可以记录所用的 NEPAdapters 版本和仓库地址，但这不能替代对 NEP 原始工作的引用。如果 NEPAdapters 用于科研工作，请至少引用 NEP 的基础论文：

  • Z. Fan, Z. Zeng, C. Zhang, Y. Wang, K. Song, H. Dong, Y. Chen, and T. Ala-Nissila, “Neuroevolution machine learning potentials: Combining high accuracy and low cost in atomistic simulations and application to heat transport,” Physical Review B 104, 104309 (2021). DOI: 10.1103/PhysRevB.104.104309

如果 NepTrainKit 参与了数据准备、主动学习、训练管理或可视化，也请引用：

  • C. Chen, Y. Li, R. Zhao, Z. Liu, Z. Fan, G. Tang, and Z. Wang, “NepTrain and NepTrainKit: Automated active learning and visualization toolkit for neuroevolution potentials,” Computer Physics Communications 317, 109859 (2025). DOI: 10.1016/j.cpc.2025.109859

涉及 GPUMD 的 NEP 训练、实现或分子动力学工作时，建议同时引用 GPUMD 软件论文：

  • Z. Fan et al., “GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations,” The Journal of Chemical Physics 157, 114801 (2022). DOI: 10.1063/5.0106617

许可证

NEPAdapters 以 GNU GPL v3 或更高版本 发布。

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.0.2)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for Chenbing123 from gravatar.com Chenbing123

License

GNU General Public License v3 or later (GPLv3+) (GNU GENERAL PUBLIC LICENSE)

Requires

Python >=3.10

Provides Extra

ase

Classifiers

Report project as malware

Download files

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

Source Distribution

nep_adapters-1.0.0.tar.gz (1.1 MB view details)

Uploaded Source

Built Distributions

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

nep_adapters-1.0.0-cp314-cp314-win_amd64.whl (15.0 MB view details)

Uploaded CPython 3.14Windows x86-64

nep_adapters-1.0.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (15.2 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

nep_adapters-1.0.0-cp314-cp314-macosx_14_0_x86_64.whl (922.2 kB view details)

Uploaded CPython 3.14macOS 14.0+ x86-64

nep_adapters-1.0.0-cp314-cp314-macosx_14_0_arm64.whl (836.8 kB view details)

Uploaded CPython 3.14macOS 14.0+ ARM64

nep_adapters-1.0.0-cp313-cp313-win_amd64.whl (14.8 MB view details)

Uploaded CPython 3.13Windows x86-64

nep_adapters-1.0.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (15.2 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

nep_adapters-1.0.0-cp313-cp313-macosx_14_0_x86_64.whl (922.0 kB view details)

Uploaded CPython 3.13macOS 14.0+ x86-64

nep_adapters-1.0.0-cp313-cp313-macosx_14_0_arm64.whl (836.6 kB view details)

Uploaded CPython 3.13macOS 14.0+ ARM64

nep_adapters-1.0.0-cp312-cp312-win_amd64.whl (14.8 MB view details)

Uploaded CPython 3.12Windows x86-64

nep_adapters-1.0.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (15.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

nep_adapters-1.0.0-cp312-cp312-macosx_14_0_x86_64.whl (922.0 kB view details)

Uploaded CPython 3.12macOS 14.0+ x86-64

nep_adapters-1.0.0-cp312-cp312-macosx_14_0_arm64.whl (836.5 kB view details)

Uploaded CPython 3.12macOS 14.0+ ARM64

nep_adapters-1.0.0-cp311-cp311-win_amd64.whl (14.8 MB view details)

Uploaded CPython 3.11Windows x86-64

nep_adapters-1.0.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (15.2 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

nep_adapters-1.0.0-cp311-cp311-macosx_14_0_x86_64.whl (920.0 kB view details)

Uploaded CPython 3.11macOS 14.0+ x86-64

nep_adapters-1.0.0-cp311-cp311-macosx_14_0_arm64.whl (835.2 kB view details)

Uploaded CPython 3.11macOS 14.0+ ARM64

nep_adapters-1.0.0-cp310-cp310-win_amd64.whl (14.8 MB view details)

Uploaded CPython 3.10Windows x86-64

nep_adapters-1.0.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (15.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

nep_adapters-1.0.0-cp310-cp310-macosx_14_0_x86_64.whl (918.7 kB view details)

Uploaded CPython 3.10macOS 14.0+ x86-64

nep_adapters-1.0.0-cp310-cp310-macosx_14_0_arm64.whl (834.1 kB view details)

Uploaded CPython 3.10macOS 14.0+ ARM64

File details

Details for the file nep_adapters-1.0.0.tar.gz.

File metadata

  • Download URL: nep_adapters-1.0.0.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for nep_adapters-1.0.0.tar.gz
Algorithm Hash digest
SHA256 5a333780e5920751eeb0f71e17f2a35bd27e85362403fa20424fdf9c06a5f6b6
MD5 0f9844fce8670b460e38baaff6b6ec84
BLAKE2b-256 aebb4c248cf34e2134347eb90ec5bf76f3f1801aefb57cb41e87edc14021b2e5

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0.tar.gz:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp314-cp314-win_amd64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 cc7c5400015c5b78727461202471053578957bc64cab7ea5e314c51a894fb384
MD5 04a849bf507a7ff0d742ca207152fd58
BLAKE2b-256 1d4491bdd37c22adbb1ed6b93446e9709325470bde5bad7f87bb233a89b7899a

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp314-cp314-win_amd64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e5f7ed1073e93221548ff20f0e8c830001cbd509795d19edf2ebf09635705268
MD5 bcc528978a30c7bebb0bae70d2ea25e7
BLAKE2b-256 b7c22362b3c928217ed76fa44d9db701aaa32efb010f5865e756c5972d37e383

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp314-cp314-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp314-cp314-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 e9f0e4ce9925b1179651d8a46862d3e7e487e1c1a563b55c7db933a7e38c55e6
MD5 6c465dec082efde18bf751ceeff6e24b
BLAKE2b-256 564843db8cacb43139ced96f4e8fa9243dc3b9452ae2cfe46305a25dfbafdb95

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp314-cp314-macosx_14_0_x86_64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp314-cp314-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp314-cp314-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 77000601bc6f4acbdbae4e2967654bdceef66de1cadfa28c139b71ce5f3ba026
MD5 2511fbd0879e8cdeaf071c9f8ce045f9
BLAKE2b-256 9f0a4487dd8c31a7db69457b8f9854c984d47da3c551286211f78759a76f7e67

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp314-cp314-macosx_14_0_arm64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 42d97829f8216438efb68d4143e230c56639e35393844b9f042ae87fc094991f
MD5 919cb789ba7babe3b48e0e0b027e1a91
BLAKE2b-256 8238fa98cf10c4516e024b922cd8b36d51362dfb2c4b5adc2f1c162e9a990082

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp313-cp313-win_amd64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 de56e18311ae28039d2ab2e12ad902c4670c690ef9090e807b5a08dc6d1023d4
MD5 8241bc1b662bbfd2d81bcde455831f14
BLAKE2b-256 837f12563c0c3685696dc0560a44fe0c7094deb8343090ae82c024f4b6405e35

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp313-cp313-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp313-cp313-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 197b5b53b01ac5e7b25ef89dc858f080e48285771f5c5d7afd7f310f1215d9ad
MD5 8f187e59df52e212eeb2bf2fd0c77419
BLAKE2b-256 8664fbef467534f3f1051179e695fdf13d04070ed10cd8652b34f960b27b247a

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp313-cp313-macosx_14_0_x86_64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp313-cp313-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp313-cp313-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 2be90a7229b8aa4632782f399fbe356b8119ff7c69d8059941762838bd723d51
MD5 63520dd77a9896e6fc85635195c65653
BLAKE2b-256 12560a956288fd084e471a9ff32d9ab52fa943448db1c7e8420a62735aa3566a

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp313-cp313-macosx_14_0_arm64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 3cddc0142565ca6befb1ed40b801a87fce13087849ac9bfbaef854ebe64a5262
MD5 e0e2744f42b51eff661fac340b44f052
BLAKE2b-256 0f6e6211dc9456a00511e8ad0fdca860bd9c62cd12ff0c525210909c2274d726

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp312-cp312-win_amd64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 a0812b9612682b4e7a30c91c076f8108a362534268e5f25795ebd18a830b3b30
MD5 8bddb866724443bfb84f79434b473719
BLAKE2b-256 52dcfe32805bec8b4fd7cb93d184c5438a4ab75ff2b8e6c03a49edba8302669f

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp312-cp312-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp312-cp312-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 d8333c06fbd8a4149c99459f114f8c7d15558c384ebd1e4dae3274d6071b553f
MD5 c8b8e241c6d235a1de58f8dc5a3fe629
BLAKE2b-256 1fa17fdca92d824b797c106c8ad4c43dcd4ac4018ca8b1537a6254c9185165dc

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp312-cp312-macosx_14_0_x86_64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp312-cp312-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp312-cp312-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 2734cbcd94d3938c6ee3ae91a53a109859c23bd5217f249e08f53b79fea865ce
MD5 dbe9bcc9e7187d2cf01e262cfd4285c1
BLAKE2b-256 f7c2f495538b6ef2faf93271d9decae6ad82f31b8794abde9211c48d191f12c5

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp312-cp312-macosx_14_0_arm64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 e1cc9dd74cf63c50cb4d8875e5d8046628f0b7673fbc722bee9e6da094b5366d
MD5 4216b6549f021df0a5beaef49f7ae564
BLAKE2b-256 7d121e4d27907b60c2c8257269d4d9c155c8167231b307844c0cfed595d868d5

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp311-cp311-win_amd64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 3467c312aa991c8bd79a805bc5048313ae2ce8f5375275c2e123af1a32c9d121
MD5 0ff901dc698cf9cb01a533fc9c6ce84d
BLAKE2b-256 402ffb80eb272f9081e6d01279b1056bb0d00e68623eeb4906e3603538e0cbe6

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp311-cp311-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp311-cp311-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 25de4c1742a9c92c8eef6cc4652a5edbd2294d6de83b96e500c916289d6be0aa
MD5 29fd8ce3e0293613c762c8299ba38548
BLAKE2b-256 2b4f50ff7dbb5ebca06174229a091f4f32edc29abdb929588c150a3cf0d1be14

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp311-cp311-macosx_14_0_x86_64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp311-cp311-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp311-cp311-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 fbbfa53eed76b1b7507dfe2f736500ee7929fb4a991a8d17a865375e626afa1d
MD5 33d6a8fa7291c0aee064550aa83402e0
BLAKE2b-256 cc2429754ac95d8dd137ca3050158a006bd5bbb508cdaa6f880e79d1be349a86

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp311-cp311-macosx_14_0_arm64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 967b889c728de22146b3baeece6e7f44bb7bf875116b98a414b5639e59018835
MD5 0bd952efef09e69f623c2396a63ca5fc
BLAKE2b-256 914b3a8bfb456aa3168f847d036e819b4f1855700a359891e9e7d537e0467cfb

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp310-cp310-win_amd64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 4813e9c340d45247cd22cce44a66717d665b3fd28acc8a751cbcd056ed696eaa
MD5 d1ac6ff84e76644ce74c810b85dab431
BLAKE2b-256 815b30edfba727d5336728e9084b566e1c1a8b39c86e9693b293088228ff2058

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp310-cp310-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp310-cp310-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 0b131c67c2047d9f63772bdbb8fc6917b1d099c9802d823e19a42bf59b1094c1
MD5 bec0227d54e9850acad9a6653f1dfd15
BLAKE2b-256 408bce9dbdc19628fddab30c19c9f54c1eff9319e72696f4d75ebdb48a553144

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp310-cp310-macosx_14_0_x86_64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nep_adapters-1.0.0-cp310-cp310-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for nep_adapters-1.0.0-cp310-cp310-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 21414076765240e022892631329a8f140734a40fa100d532f9cc8c7ef4dc9f4f
MD5 767ce9d90ebf07a281d7a398bfb03247
BLAKE2b-256 4db5f78e6d4c7367740327b52b6591b8a325c21921811889a252046297ef8f15

See more details on using hashes here.

Provenance

The following attestation bundles were made for nep_adapters-1.0.0-cp310-cp310-macosx_14_0_arm64.whl:

Publisher: python-package.yml on MagTheoryLab/NEPAdapters

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

1.0.2

21 files

1.0.1

21 files

This release

1.0.0 This release

21 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page