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prime-adj

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0.0.10

prime_adj-0.0.10-py3-none-any.whl

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Project:	prime-adj
Version:	0.0.10
Filename:	prime_adj-0.0.10-py3-none-any.whl
Download:	[link]
Size:	22218
MD5:	`13ed31233e6011ad48e780f2d9352320`
SHA256:	`57d4d260bb91ead4071a2f397652b4f26d06104b7f9c8b62f74eee080b6058c0`
Uploaded:	2024-07-18 14:32:42 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version:	2.1
Name:	prime_adj
Version:	0.0.10
Summary:	Prime Adjacency Matrix for Multi-relational Networks
Author-Email:	Konstantinos Bougiatiotis <bogas.ko[at]email.com>
Project-Url:	Homepage, https://github.com/kbogas/PAM
Project-Url:	ArXiv, https://arxiv.org/abs/2209.06575
License:	Copyright (c) Konstantinos Bougiatiotis PAM follows a dual licensing scheme. For use by individuals, PAM is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To view a copy of this license, visit https://spdx.org/licenses/AGPL-3.0-or-later.html. For commercialuse or any other use by private or public legal entities, sharing, modifying and distributing PAM or any derivatives of it in any form, such as source code, libraries and executables, requires the written permission of its author(s) (Konstantinos Bougiatiotis) and a possible request for licensing fees.
Requires-Python:	>=3.9
Requires-Dist:	asuitesparse-graphblas (==8.2.1.0)
Requires-Dist:	numba (>=0.58.1)
Requires-Dist:	numpy (>=1.26.3)
Requires-Dist:	pandas (>=2.1.4)
Requires-Dist:	python-graphblas (==2024.2.0)
Requires-Dist:	scipy (>=1.11.4)
Requires-Dist:	sympy (>=1.12)
Requires-Dist:	tqdm (>=4.32.2)
Description-Content-Type:	text/markdown
License-File:	LICENSE.md

[Description omitted; length: 3636 characters]

WHEEL

Wheel-Version:	1.0
Generator:	hatchling 1.17.1
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
prime_adj/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
prime_adj/data_loading.py	sha256=oxhp5ecr_1hyjpRTwfEsLBRTsW4B8GTAVDtv1H_DYYU	6777
prime_adj/lossless_numba.py	sha256=MhTttLwXxvGQqWbrVSeunFkhxETJtnKWBdWbdRgx26I	14115
prime_adj/pam_creation.py	sha256=Sk7FClVwOrsjcAjgfwyv5mKQP-c1cZuMLC7mpRNxbvc	10037
prime_adj/path_feature_extraction.py	sha256=9p-iel9TMzoUyGFEVA4qtMUuMC58Wm1E8cXUCOz0wFQ	1867
prime_adj/rule_generation.py	sha256=9qT5Vg4wSOVR8WavblH4FAv95XCd83WJkxOTlcpHSRA	7994
prime_adj/tail_prediction_with_rules.py	sha256=J9qRn1FOv3sTKPRg4LkhrXCkqbt52dRIvs4LRWH3PaE	17891
prime_adj/utils.py	sha256=hqQ5PCsqK1EPXwwJNpwlMBSuZSb1CB0Ja-PGgVcx-AQ	3278
prime_adj-0.0.10.dist-info/METADATA	sha256=9HNv4UyfR84pqpOAVfOFXTxA64KapEPuDzMAFOxEaDA	5376
prime_adj-0.0.10.dist-info/WHEEL	sha256=KGYbc1zXlYddvwxnNty23BeaKzh7YuoSIvIMO4jEhvw	87
prime_adj-0.0.10.dist-info/licenses/LICENSE.md	sha256=kLXm03y0cOSjGEswyO6bLZVFcnQDozYF71lIYqQn_kM	618
prime_adj-0.0.10.dist-info/RECORD	—	—