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mlipdockers

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0.0.6

mlipdockers-0.0.6-py3-none-any.whl

Wheel Details

Project:	mlipdockers
Version:	0.0.6
Filename:	mlipdockers-0.0.6-py3-none-any.whl
Download:	[link]
Size:	4780
MD5:	`ef96df27032b613fa11c221116e69244`
SHA256:	`a96099edba5fb35db45a05fbf17056abaede9fad8a4848780ac8ea6c213cdcec`
Uploaded:	2024-12-20 22:48:19 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	mlipdockers
Version:	0.0.6
Summary:	Request to docker containers in which the python enviroments for different machine learning potential usages are implemented. Using this package, one can get the predicted potential energy for any structure using any MLIP without needing to change python environments.
Author:	Yaoshu Xie
Author-Email:	jasonxie[at]sz.tsinghua.edu.cn
Home-Page:	https://github.com/HouGroup/ys_mlipdk/
Classifier:	Programming Language :: Python :: 3
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Operating System :: OS Independent
Requires-Python:	>=3.10
Requires-Dist:	docker
Description-Content-Type:	text/markdown

[Description omitted; length: 35 characters]

WHEEL

Wheel-Version:	1.0
Generator:	setuptools (75.1.0)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
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mlipdockers/core.py	sha256=412ZsB167aL0PkNatgdEuaYUo8jv3A68aLyhiHpWOEs	2987
mlipdockers/dkreq.py	sha256=965bgNR8bq4JOmnmT9sch3ru_BepImzmihg_d2xrN80	4527
mlipdockers-0.0.6.dist-info/METADATA	sha256=HoNlQEVTeklNoBb5Wlrj7S6HeQgcN24LPZRBUw2sNjY	712
mlipdockers-0.0.6.dist-info/WHEEL	sha256=GV9aMThwP_4oNCtvEC2ec3qUYutgWeAzklro_0m4WJQ	91
mlipdockers-0.0.6.dist-info/top_level.txt	sha256=_BgJFsZqJHGXrYbozqees6jp9yYU0Tf0hrRvFo7xVBg	12
mlipdockers-0.0.6.dist-info/RECORD	—	—

top_level.txt

mlipdockers