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GWSkyNet

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2.4.1

GWSkyNet-2.4.1-py3-none-any.whl

Wheel Details

Project:	GWSkyNet
Version:	2.4.1
Filename:	GWSkyNet-2.4.1-py3-none-any.whl
Download:	[link]
Size:	187303
MD5:	`efd0e308d5dc5909fbc3ec66a95531e8`
SHA256:	`814d489d68d90f56ad44807bb9724cba880fdbc988e8f9f83483c30627434f9d`
Uploaded:	2024-03-25 23:28:10 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	GWSkyNet
Version:	2.4.1
Summary:	GWSkyNet : a machine learning algorithm used for estimating the probabiliy that a gravitational wave candidate is of astrophysical origin
Author-Email:	"Man Leong (Mervyn) Chan, Jess McIver, Ashish Mahabal, Daryl Haggard, Nayyer Raza" <mervync[at]phas.ubc.ca>, Jess McIver <mciver[at]phas.ubc.ca>, Ashish Mahabal <aam[at]astro.caltech.edu>, Daryl Haggard <daryl.haggard[at]mcgill.ca>, Nayyer Raza <nayyer.raza[at]mail.mcgill.ca>
License:	GPL-2.0+
Classifier:	License :: OSI Approved :: GNU General Public License v2 or later (GPLv2+)
Classifier:	Programming Language :: Python
Classifier:	Programming Language :: Python :: 3
Requires-Python:	>=3.8
Requires-Dist:	numpy (>=1.23.2)
Requires-Dist:	tensorflow-cpu (<2.16.1,>=2.9.1)
Requires-Dist:	ligo.skymap (>=1.0.2)
Requires-Dist:	astropy (>=5.1.1)
Requires-Dist:	reproject (>=0.8)
Requires-Dist:	scipy (>=1.8.0)
Description-Content-Type:	text/markdown
License-File:	LICENSE

[Description omitted; length: 3224 characters]

WHEEL

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

RECORD

Path	Digest	Size
GWSkyNet/GWSkyNet.py	sha256=O-zRhyc08P5GWkcfl8ZpjX2ovo9egd0-cPpsRJ0qD8k	11156
GWSkyNet/__init__.py	sha256=RYfY6R7XXzYAYyfYTK8UJN4LxEIEDqCwVJ8SVfy70PY	148
GWSkyNet/GWSkyNet_data/models/GWSkyNet_v2.4.0.h5	sha256=OXU4Ic2BLklQH92qmVMSiRdNpnahza94LT1TPUpk-RM	92904
GWSkyNet/GWSkyNet_data/models/GWSkyNet_v2.4.0.json	sha256=NE27elZEl6EpfVyY14xMDyX6Fft_PPw-d-ln0dswHAw	16461
GWSkyNet/GWSkyNet_data/models/GWSkyNet_v4.h5	sha256=oxjzWHg7jLHznTOzrLMnAms8oYv53GrnBnR9eCOXlGA	91944
GWSkyNet/GWSkyNet_data/models/GWSkyNet_v4.json	sha256=NE27elZEl6EpfVyY14xMDyX6Fft_PPw-d-ln0dswHAw	16461
GWSkyNet/GWSkyNet_data/models/training_norms.txt	sha256=EOKE9ld7Cq0pQ92oSeuGsxWMnFAq5d7oXfOhtn1fGQ8	348
GWSkyNet/GWSkyNet_data/rates/GWSkyNet_v2.4.0_rates.txt	sha256=O_iAlinUvheym3ZT91EVlAw_JtGe1UH7Dl8wEU1tXdE	360083
GWSkyNet/GWSkyNet_data/rates/GWSkyNet_v4_rates.txt	sha256=QoU6H8djIC1cGLwFiOBgYSdoDI-itSVgPttka0YMpEs	360048
GWSkyNet-2.4.1.dist-info/LICENSE	sha256=uQ7YFQptNxyEt9uqaAzQ6Yk-98JVh2Xh4AkwUT78_js	18072
GWSkyNet-2.4.1.dist-info/METADATA	sha256=cHA5AU5AhdkANlFlASym26z6OgLkMH3eoU3rlYO8FAQ	4183
GWSkyNet-2.4.1.dist-info/WHEEL	sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ	92
GWSkyNet-2.4.1.dist-info/top_level.txt	sha256=gsWfW-KJEBllnA4SlPH_cRvS7oycVxIWhwb-IRnuCDM	9
GWSkyNet-2.4.1.dist-info/RECORD	—	—

top_level.txt

GWSkyNet