Result for 1A829FC9BC6305B864055D0752F1143C38268BEB

Query result

Key	Value
MD5	0255A573D5EA7271910448F563A0EB36
PackageArch	armv7hl
PackageDescription	Photutils contains functions for: * estimating the background and background rms in astronomical images * detecting sources in astronomical images * estimating morphological parameters of those sources (e.g., centroid and shape parameters) * performing aperture and PSF photometry
PackageMaintainer	Fedora Project
PackageName	python3-photutils
PackageRelease	3.fc33
PackageVersion	0.7.2
SHA-1	1A829FC9BC6305B864055D0752F1143C38268BEB
SHA-256	5AB673CE439DBFAC9B8D84B4E2BD5A4B75E4DBEA4C9877BEC2A35DE190F651C3
hashlookup:children-total	329
hashlookup:trust	50

Network graph view

Children (Total: 329)

The searched file hash includes 329 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/lib/python3.9/site-packages/photutils/utils/__pycache__/stats.cpython-39.pyc
FileSize	2685
MD5	5D31E308AA6414FCD6989BF53F947D96
SHA-1	0030C2CAE1AC03237573C2E995500F60AD66D782
SHA-256	421AC7E4A8670B1A0AE20A238F96D1797E5D31A346E8D2A92D24E6F37802D6BD
SSDEEP	48:Qv14UdqoBlQBeJIjUVnHd2KviRRoA7RCIiQBXzGJ6MmsVnHJUHNNh8e9Bl/dx5ty:01LqooBeOQVn92Kvi3n1CmBXSJmsVnp1
TLSH	T1D151C56B3C604771FE61F1B6899F1041C4F4B12B92D08867384F922A2F7CC34816EB5E

Key	Value
FileName	./usr/lib/python3.9/site-packages/photutils/psf/tests/__pycache__/test_models.cpython-39.pyc
FileSize	12916
MD5	3CDAEA33BF7BA43E438EA801FB0B5B80
SHA-1	0058446F7ADDC40EADB4C37E9FAC1A225C682155
SHA-256	3729B7BA50F6832137A65CCD3B18094FE8BAB9F22695F02FD7A63778EF4EB55E
SSDEEP	384:a8ypunriK80zclx6NKOVSDqizt8cfLpeqjqYRK6ZU0e/xR:adpariKVclxgcHhA8+R
TLSH	T15942C6DAB1077E02FE34F6B4D08F47702558C269A395BA877B18D10A4E867C80DF9D85

Key	Value
FileName	./usr/lib/python3.9/site-packages/photutils/background/__pycache__/__init__.cpython-39.pyc
FileSize	310
MD5	369D98814AC3A16DC9CC131DF959D5D4
SHA-1	0182B235B00F55FE985F85C9AF4BC450AC8C6DDA
SHA-256	2CD7E546D23FDC075BB6E59A8183E1BDA786064735FFA916281CDCA7F55F759F
SSDEEP	6:Qyokae9zqB+XCrNMLgG+mKU9RKCSCdK98Mmy/dllaA9YBbrFdWzXRDJJt:QOaekB+XC8D+mKQRHSwZMRllaAElUzBZ
TLSH	T1A2E0C21282D8E29AF8535939717643341DF88470A35E4BA9762C22E175489908832340

Key	Value
FileName	./usr/lib/python3/dist-packages/photutils/segmentation/detect.py
FileSize	15602
MD5	38A61809B1D2034560AC0F3CE38218EE
SHA-1	03114B4EE3D09427BA261BB942603BBD4DE0FAB4
SHA-256	A08612A1F15003729EC233AC49F7C714A48DAD51B660C9ABB3ED9A8FD5B76B7D
SSDEEP	192:ECyJAH/q/kcjo0nOVLRWe7UkynyYkcjo0TOVLRO7AhofL8UR5hbxGVLMZYD13tw5:mAfMxwD/7U/ZxwDCd8G3AiZYVtm
TLSH	T1C962721B7C543635228385E6959B25429663493F4B901A19310CA2683F27F72F3FFBDB

Key	Value
FileName	./usr/lib/python3/dist-packages/photutils/detection/core.py
FileSize	12416
MD5	B9A482CB7850FCE10CF9371B3A09E7DF
SHA-1	03497C0CD6456FAE59A823B4D6D5279A8F2B8565
SHA-256	9013A130576E6189D9B74907B5713F2D5947F6761D521E75FE04BAF8C1EFFA62
SSDEEP	192:/J5akHPbvYs+ZYILPEwKqbLV7EGsWGb/0JBoBj/e5v7lDruk5X6fUzZUzbSFzfbH:LvKZYbu7h5oBClZQfU1UfStfbH
TLSH	T1A042A51FFF0017BA510391E5A99F5041162AE67757B04A6A700EA1603F50A3AF3FFEE9

Key	Value
FileName	./usr/lib/python3/dist-packages/photutils/datasets/data/README.rst
FileSize	174
MD5	72EB9F4BA458D31CC4A125DD84FF58C1
SHA-1	03ABA0F29D3F4A1EFA3AFC8BEB6D432E6720EFAC
SHA-256	FE9794E034C78B8537BD598E6B864CA8A0776343CEFF386A2980F887E0FC24BD
SSDEEP	3:hDKPyFfliFBEDAWF+I9Xv8QyWx3Do0/L7w+umLwKLSFmNcNzFTfZ1eb:hDyyFfl2EDzFndv8QyW1ouwEWc2NFTfC
TLSH	T1C0C08CED7C9029710EE3E0E8260A6801E18AE2184A0C83221480D04E6120BB9ACAEB05

Key	Value
FileName	./usr/lib/python3.9/site-packages/photutils/isophote/__pycache__/fitter.cpython-39.pyc
FileSize	11221
MD5	524DB53857BAE4D313D21FE482445FFB
SHA-1	04B1245284295725DB16DDF4D7F45A36946E50A7
SHA-256	93E58122796EF852E24F64DAB3120BF6041DD14CFDEABECEB76BA9E8B7499C28
SSDEEP	192:EeI7EQsRK3TMc8NiPJJr8wFZrYPT06KDc5eRlZ2zVYbasVUaKL:EybkwIJJr8wFZrCKD0YZYYbas+9L
TLSH	T1FD32E84A6F8027A6F943F5F9592F0080CBB481EFB6945039345C62157F438A19F7E3B8

Key	Value
FileName	./usr/lib/python3/dist-packages/photutils/extern/__init__.py
FileSize	161
MD5	45CC5C5407151E93E75A1A99D2ED72FA
SHA-1	05FB85D0703A08476CB3A61C16EDCF7E22D1C8A9
SHA-256	CA2F1B527D085BC3E5D0EEA278AE2E3A20C3458BCC40DC51E2B58DF77E6D18D9
SSDEEP	3:SztBVGK0GFWjgXLwygjWRvJJsSUgGtMiFRKKYZ4+XAyc9XrAvWcHQ4JRywLs2RbP:S3V5ygXE42gG+mKFTcdrA+cwUgUs21
TLSH	T112C02B71F3F0336143C188BE71C4941ECE0CC0747A4CC8DB3472C201613482C90DE290

Key	Value
FileName	./usr/lib/python3/dist-packages/photutils/segmentation/__init__.py
FileSize	347
MD5	DB6E6433485D8DCE827E1CC447524559
SHA-1	06E7D363982C780520D34C745EFEDC88125B2BD3
SHA-256	F39DD2EC843F5C031B1A8720EE159ECB0564D7B8756A0EE85DB56BD365ED8816
SSDEEP	6:S3V5ygXE42gG+mKAs/yxUCdUKfLiBfp7E3xcQP8FKLBoIiP8FKLBYAP8FKLVNP8g:SUcE42D+mKAs/yxdUK2BC3PVeIiPVFPp
TLSH	T136E0DF5BA63AB22A96DEC176244488E78BBAA7309F101A6FB1F952A003510105EBC032

Key	Value
FileName	./usr/lib/python3.9/site-packages/photutils/background/tests/__pycache__/test_background_2d.cpython-39.pyc
FileSize	7790
MD5	70FFCEE963D286F1FBC3860B321CAD9C
SHA-1	07362FEA9439DF6F549F0F51603FB8AAAA886976
SHA-256	87A055219550985F16A2146987826CCB0AC691F8B8D3A4BBE83031B3FD3EB77C
SSDEEP	96:aGCY7jEXdINuVg/MWht4sYawOlkJBCWkK1LTldNvcnre3F6kykW0hRK1df0tf8YG:jC2EXdaku2LhpkK1ldvpykWGYMmYG
TLSH	T1BEF1A945E4D20FADFF52F9F8E0B6033C5159C26957C48B17F82CB1BE1E8A74816BA648