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To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
Select below a type of object currently browsed in order to display its associated SWHID and permalink.

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Citations

This interface enables to generate software citations, provided that the root directory of browsed objects contains a citation.cff or codemeta.json file.
Select below a type of object currently browsed in order to generate citations for them.

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Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
try:
    from setuptools import setup, find_packages
except ImportError:
    from distutils.core import setup, find_packages

import re
from pathlib import Path

def version(root_path):
    """Returns the version taken from __init__.py

    Parameters
    ----------
    root_path : pathlib.Path
        path to the root of the package

    Reference
    ---------
    https://packaging.python.org/guides/single-sourcing-package-version/
    """
    version_path = root_path.joinpath('tensorly', '__init__.py')
    with version_path.open() as f:
        version_file = f.read()
    version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]",
                              version_file, re.M)
    if version_match:
        return version_match.group(1)
    raise RuntimeError("Unable to find version string.")


def readme(root_path):
    """Returns the text content of the README.rst of the package

    Parameters
    ----------
    root_path : pathlib.Path
        path to the root of the package
    """
    with root_path.joinpath('README.rst').open() as f:
        return f.read()


root_path = Path(__file__).parent
README = readme(root_path)
VERSION = version(root_path)


config = {
    'name': 'tensorly',
    'packages': find_packages(exclude=['doc']),
    'description': 'Tensor learning in Python.',
    'long_description': README,
    'long_description_content_type' : 'text/x-rst',
    'author': 'Jean Kossaifi',
    'author_email': 'jean.kossaifi@gmail.com',
    'version': VERSION,
    'url': 'https://github.com/tensorly/tensorly',
    'download_url': 'https://github.com/tensorly/tensorly/tarball/' + VERSION,
    'install_requires': ['numpy', 'scipy', 'nose'],
    'license': 'Modified BSD',
    'scripts': [],
    'classifiers': [
        'Topic :: Scientific/Engineering',
        'License :: OSI Approved :: BSD License',
        'Programming Language :: Python :: 3'
    ],
}

setup(**config)

Software Heritage — Copyright (C) 2015–2025, The Software Heritage developers. License: GNU AGPLv3+.
The source code of Software Heritage itself is available on our development forge.
The source code files archived by Software Heritage are available under their own copyright and licenses.
Terms of use: Archive access, API— Contact— JavaScript license information— Web API

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