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0.15.1 nunchaku-0.15.1-py3-none-any.whl

Wheel Details

Project: nunchaku
Version: 0.15.1
Filename: nunchaku-0.15.1-py3-none-any.whl
Download: [link]
Size: 17078
MD5: e75fdb243f70d3de0b8f6e37753d53ef
SHA256: 78aa7a98755bf143cb1dffb5b6a728d5d538bf224f7cc9f47032c23acaf10b68
Uploaded: 2023-11-19 13:01:23 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: nunchaku
Version: 0.15.1
Summary: Optimally partitioning data into piece-wise linear segments.
Author: Yu Huo
Author-Email: yhuo[at]tuta.io
Home-Page: https://nunchaku.readthedocs.io
Project-Url: Documentation, https://nunchaku.readthedocs.io
Project-Url: Repository, https://git.ecdf.ed.ac.uk/s1856140/nunchaku
License: MIT
Keywords: linear trend,Bayesian inference,log phase,exponential growth,change point analysis
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.8,<3.12
Requires-Dist: matplotlib (<4.0.0,>=3.5.0)
Requires-Dist: numpy (<2.0.0,>=1.20.3)
Requires-Dist: pandas (>=1.4)
Requires-Dist: scipy (<2.0.0,>=1.10.1)
Requires-Dist: tqdm (<5.0.0,>=4.65.0)
Description-Content-Type: text/markdown
[Description omitted; length: 3559 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.6.0
Root-Is-Purelib: true
Tag: py3-none-any

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