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Project: targeted-causal-reduction
Version: 0.0.1a1
Filename: targeted_causal_reduction-0.0.1a1-py3-none-any.whl
Download: [link]
Size: 36166
MD5: 757f88d2467b199edfa9fc4011334e15
SHA256: 7d34b2211e0768d2e777b2aba55af2f3d2209ad81a6d561b1606b06a9518a2fe
Uploaded: 2024-06-14 12:18:58 +0000

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METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: targeted-causal-reduction
Version: 0.0.1a1
Summary: Targeted causal reduction learns high-level causes for phenomena occuring in simulations.
Author-Email: Armin Kekic <armin.kekic[at]mailbox.org>
Project-Url: source, https://github.com/akekic/targeted-causal-reduction
License: MIT
Requires-Python: >=3.11
Requires-Dist: h5py
Requires-Dist: lightning
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: typed-argument-parser
Requires-Dist: wandb
Requires-Dist: pytest; extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2628 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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targeted_causal_reduction-0.0.1a1.dist-info/RECORD — —

top_level.txt

targeted_causal_reduction

entry_points.txt

[console_scripts]
tcr = targeted_causal_reduction.__main__:main