Skip to main content

NWhy project using pybind11 and CMake

Project description

The NWhy library provides Pybind11 APIs for analysis of complex data set intepret as hypergraphs.

To install in an Anaconda environment

>>> conda create -n <env name> python=3.8

Then activate the environment

>>> conda activate <env name>

Install Intel Threading Building Blocks(TBB)

To install TBB:

>>> conda install tbb

If a local TBB has been install, we can specify TBBROOT

>>> export TBBROOT=/opt/tbb/

Install using Pip

For installation:

>>> pip install nwhy

For upgrade:

>>> pip install nwhy --upgrade

or

>>> pip install nwhy -U

Quick test with import

For quick test:

>>> python -c "import nwhy"

If there is no import error, then installation is done.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

nwhy-0.0.14-cp39-cp39-manylinux2014_x86_64.whl (572.5 kB view details)

Uploaded CPython 3.9

nwhy-0.0.14-cp39-cp39-macosx_10_15_x86_64.whl (201.8 kB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

nwhy-0.0.14-cp39-cp39-macosx_10_14_x86_64.whl (579.0 kB view details)

Uploaded CPython 3.9 macOS 10.14+ x86-64

File details

Details for the file nwhy-0.0.14-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

  • Download URL: nwhy-0.0.14-cp39-cp39-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 572.5 kB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for nwhy-0.0.14-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b82058d23dd29e4465677a906e7a3c9b3c57127ab4a34c8bfc8146cb3f1e4b6e
MD5 e517f3971f14ce74fe449ef290ded9c6
BLAKE2b-256 6c477cf3d7d8298fa0de8366a5665de6799d853ae85b814702e66170cee49a34

See more details on using hashes here.

File details

Details for the file nwhy-0.0.14-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: nwhy-0.0.14-cp39-cp39-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 201.8 kB
  • Tags: CPython 3.9, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for nwhy-0.0.14-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 61dafa20a699022e2cef7274f2d2be48897ec7d8186a8bfa626fabb3792f7030
MD5 ead9b1166f272f33a167883153853654
BLAKE2b-256 3964b8b64243fc183c68e49b17470e1070e22a9ab5a16cc8b7b8e1623f283a2c

See more details on using hashes here.

File details

Details for the file nwhy-0.0.14-cp39-cp39-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: nwhy-0.0.14-cp39-cp39-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 579.0 kB
  • Tags: CPython 3.9, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for nwhy-0.0.14-cp39-cp39-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 2a6ba909cd66bc59969108a7d59447e6e26dd7f2ad1af3be54bae2d6c672bb32
MD5 04b19f7b84695e5a7d86433e8b0b8177
BLAKE2b-256 f43364939fb8da0c9610069b24798bff4b750f1ccd33e13db37724c217175b95

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page