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glm-mda-diffusion

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1.1	glm_mda_diffusion-1.1-py3-none-any.whl

Wheel Details

Project:	glm-mda-diffusion
Version:	1.1
Filename:	glm_mda_diffusion-1.1-py3-none-any.whl
Download:	[link]
Size:	18175
MD5:	`ee46d35629cb562dd208e67e2cdcdba4`
SHA256:	`d7b9b485bee17f7065b240015b8a81bba3cc0281fe052bba6b5a9a098f89df71`
Uploaded:	2024-01-05 09:48:34 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	glm-mda-diffusion
Version:	1.1
Summary:	Minimum dissipation approximation: A fast algorithm for the prediction of diffusive properties of intrinsically disordered proteins
Author:	Radost Waszkiewicz
Author-Email:	radost.waszkiewicz[at]gmail.com
Home-Page:	https://github.com/RadostW/glm-mda-diffusion/
Project-Url:	Documentation, https://github.com/RadostW/glm_mda_diffusion
Project-Url:	Source, https://github.com/RadostW/glm_mda_diffusion
License:	GNU GPLv3
Requires-Dist:	numpy
Requires-Dist:	pygrpy
Requires-Dist:	sarw-spheres
Requires-Dist:	scipy
Description-Content-Type:	text/markdown
License-File:	LICENSE

[Description omitted; length: 2780 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.42.0)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
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glm_mda_diffusion/__main__.py	sha256=HuhNoBPhIDBEqq3pjOcwUKlv-__trkiJA0xeZ7FqHwA	59
glm_mda_diffusion/glm_mda_diffusion.py	sha256=YXASsMDdVtMDE_T0VOi7VR_Vqo_k7XsChKp1_HL3csw	8816
glm_mda_diffusion-1.1.dist-info/LICENSE	sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY	35149
glm_mda_diffusion-1.1.dist-info/METADATA	sha256=AjRpoPtBLxYRzSX5BUc3lCR5HwgBrAyhrcvqMhpIySQ	3443
glm_mda_diffusion-1.1.dist-info/WHEEL	sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM	92
glm_mda_diffusion-1.1.dist-info/top_level.txt	sha256=HvRLiC6wzprWV0PEtE0t5NKllXg07eyUU1FkoU_XJUY	18
glm_mda_diffusion-1.1.dist-info/RECORD	—	—

top_level.txt

glm_mda_diffusion