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multisoc

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0.1.1 multisoc-0.1.1-py3-none-any.whl

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Project: multisoc
Version: 0.1.1
Filename: multisoc-0.1.1-py3-none-any.whl
Download: [link]
Size: 37808
MD5: 486ad956fe84bc31af9d6514b999b6a8
SHA256: b55931c9a4f8009dc23075c9be70ac91fbf874615dd44556c39c4f21eb9c48f3
Uploaded: 2024-10-25 14:37:00 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: multisoc
Version: 0.1.1
Summary: A package to simulate and analyze networks with multidimensional interactions.
Author: Samuel Martin-Gutierrez
Author-Email: martin.gutierrez[at]csh.ac.at
Home-Page: https://github.com/CSHVienna/multisoc
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Requires-Dist: matplotlib (>=3.7.5)
Requires-Dist: mpmath (>=1.3.0)
Requires-Dist: networkx (>=3.2.1)
Requires-Dist: numpy (==1.26.4)
Requires-Dist: pandas (>=2.0.3)
Requires-Dist: pytest (>=7.2.2)
Requires-Dist: scipy (>=1.13.1)
Requires-Dist: statsmodels (==0.14.2)
Requires-Dist: tqdm (>=4.66.5)
Requires-Dist: jinja2 (>=3.1.4)
Description-Content-Type: text/markdown
[Description omitted; length: 4637 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (72.1.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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multisoc/generate/IO_utils.py sha256=nociUaoQTFUJk260jrUROqLR4deCuKrjxKjVLNvnh8Q 176
multisoc/generate/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
multisoc/generate/multidimensional_network.py sha256=ZNWnRxlksumZUj2ngdBIJkPwh_1IirgLttxAc8tJoaY 14187
multisoc/generate/multidimensional_network_ORIGINAL.py sha256=Km-CVE-Eeihss56KoIGTQTnDsepeNjd-YQwwStZTM6c 41524
multisoc/generate/tests.py sha256=YELfrHVjkdRR-p0fm6zS8U6_Qn4dJMCtctn6qfn7F9I 2578
multisoc/generate/two_dimensional_population.py sha256=M80Bq-X0d81oocbzk54WTUdwQpgtquv3NuKYMa-6PbQ 3527
multisoc/generate/utils.py sha256=ArZCE136JC59hpkHzkXbI0btm_uRxIbuhRtFU-xmg-Q 778
multisoc/generate/validators.py sha256=XBf7HmvC5TtKXItECGBxheTLPyOdycRTgollnE9Q3JQ 1790
multisoc/infer/MRQAP.py sha256=dRcMbFdA7o1Tu_GKd5rsd3URWkb1tVvTDxIXqHFSPAk 4831
multisoc/infer/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
multisoc/infer/aggregation_functions.py sha256=BYLHj9Oyu6J-sC0xw0WayZJMcJIa4fLfIZrJk90du2k 3451
multisoc/infer/aux_functions.py sha256=3HcdTFmI3G5JGsQaNeJ9O8_XfSilPpS7OewnlEL0bhk 8309
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multisoc/metrics/fairness_metrics.py sha256=etBHVqD_XyEfS6Gk0JRekhdSbj-r5LJN507TAcrdcTM 7693
multisoc/metrics/network_statistics.py sha256=Az-ZUp1_SV43ba27n06NgMD5ivCAZj99FwnilCqsrAY 3643
multisoc/theory/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
multisoc/theory/fairness_metrics.py sha256=ufVXCTKw_EIC6IpXjMk3GBrSns2wqFCXpKxdlJ-Ia3o 8803
multisoc/theory/multidimensional_preferences.py sha256=rkSLSSysqEX8u_pRnn2lidApxvfT14Cx5TBR5Wx7IBA 3496
multisoc/theory/network_statistics.py sha256=GFQcBemVsORgKCn8ez5_3gEBzSj1AYR7qiEmZjwisrM 2653
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multisoc-0.1.1.dist-info/RECORD — —

top_level.txt

multisoc