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linearfit

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1.0.2

linearfit-1.0.2-py3-none-any.whl

Wheel Details

Project:	linearfit
Version:	1.0.2
Filename:	linearfit-1.0.2-py3-none-any.whl
Download:	[link]
Size:	6442
MD5:	`bb31dbb3c9d309a5776dac1462c4ab1e`
SHA256:	`0da540a17897af8124efec50e1e27606230f2327ed4e65a4baea33c17c40bcfa`
Uploaded:	2024-03-19 16:08:28 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	linearfit
Version:	1.0.2
Summary:	python package that implements a general least-squares fit of a linear model using numpy matrix inversion
Author:	Johannes Sahlmann
Author-Email:	jsahlmann[at]stsci.edu
Home-Page:	https://github.com/Johannes-Sahlmann/linearfit
License:	BSD 3-Clause
Classifier:	Development Status :: 5 - Production/Stable
Classifier:	Intended Audience :: Developers
Classifier:	Intended Audience :: Science/Research
Classifier:	License :: OSI Approved :: BSD License
Classifier:	Operating System :: OS Independent
Classifier:	Programming Language :: Python
Classifier:	Topic :: Scientific/Engineering :: Astronomy
Requires-Dist:	numpy
License-File:	LICENSE
License-File:	AUTHORS.rst

[Description omitted; length: 106 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.37.1)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
linearfit/__init__.py	sha256=lTVusOvLzmpE4-OWUYIXCqsFR4d4fWr6XyOyG_wD3Lc	42
linearfit/linearfit.py	sha256=D8QYqwC82940Gh8n6hG3aK-dP-lGcfVGaRY5uIlqqQs	9164
linearfit-1.0.2.data/scripts/test_linearfit.py	sha256=-d4S3vBiX95o-RzzXGd2UiruBryCdbDsgFUpc2fhRG4	1603
linearfit-1.0.2.dist-info/AUTHORS.rst	sha256=a3bQ-JoNFItzdqnsg0bZjLxtS3KLgcunf9klmHGV8t0	89
linearfit-1.0.2.dist-info/LICENSE	sha256=i6cx64Nl30ttdRLRALs6v1tLvWYFsMIBR9Bg0cynJuI	1511
linearfit-1.0.2.dist-info/METADATA	sha256=jAOyktcGzMlkfcqcwqMMteNOYKj9UP4P0-eMxGh07YU	832
linearfit-1.0.2.dist-info/WHEEL	sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA	92
linearfit-1.0.2.dist-info/top_level.txt	sha256=L7hFmxKr6Qg7fqkbKg8C0xBqztryEAJqik7B86y0vRI	10
linearfit-1.0.2.dist-info/RECORD	—	—

top_level.txt

linearfit