Result for 7FA641846F618144B22740D8F84524A804DC961E

Query result

Key	Value
MD5	714D0B3CF533B2262A677C2B82F446D4
PackageArch	aarch64
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	4.fc23
PackageVersion	0.1
SHA-1	7FA641846F618144B22740D8F84524A804DC961E
SHA-256	2C1C35138CFB8893D2CB8D8B0E1BEAC3D7A84B267C202232179F96AF837CB0E2
hashlookup:children-total	193
hashlookup:trust	50

Network graph view

Children (Total: 193)

The searched file hash includes 193 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/lib64/python3.4/site-packages/photutils/detection/__pycache__/findstars.cpython-34.pyc
FileSize	29698
MD5	2DDC0FD4569A178B3C092510A13B4FA3
SHA-1	00E643A69390164E022718B6FC0AF36A30FDD79A
SHA-256	864202A7B48FF614B6227EEA16AEF275384F0FDE742DEF6B291F579D875B2DDE
SSDEEP	384:v/hy1jvPz2CofeACYzp8D2/4KoqHbwuusN4IbGrv+3ywl8+RD:v/Qnzcew6DWpoc9JNLEvWywl8+RD
TLSH	T133D294092F44976FF443E5B2E07E1185D632C5BBA622570435ECD2782FE1E30D6BBA89

Key	Value
FileName	./usr/lib64/python3.4/site-packages/photutils/_astropy_init.py
FileSize	6393
MD5	9B50939B184AD6F93706892F04EC2903
SHA-1	030279001D1B96742E0A1BAB10F2818438855DA2
SHA-256	1DF9599B25E60990281331945D4E4EFE599B16FD9A666D1E44BF74103C825F3A
SSDEEP	96:SVQdeAEc8VQiJuhhLQBTscczfo3TPi90Y3ntw0tItoNzwmHec8khFlj1:/eAN82hh8FxcTCi9W0tjNz7ei
TLSH	T154D1C617991A09738383DEAEE4A2D0B1AB34D69B7B654039708C93804F12631DBF7F79

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/lib64/python3.4/site-packages/photutils/detection/__init__.py
FileSize	214
MD5	D808CC55225FF2B2BF0D8CDF1EF72EA1
SHA-1	04B6A3BF5BF1E13B7AF84CD2300201DB52786AAB
SHA-256	5DD176C57CF15DDEB19BAAF210BA6704563E1184433F83522577F3EC623AF418
SSDEEP	3:SztBVGK0GFWjgXLwygjWRvJJsSUgGtMiFIaQiBvEZEKUpWKFhkLju41GzbQlDDxU:S3V5ygXE42gG+CQi77L9gcQlBDt6ln
TLSH	T1F6D0221A9BF032818AC3CA697881085FCB4EF030BA205B8B257A83F2133008D48F9260

Key	Value
FileName	./usr/lib64/python3.4/site-packages/photutils/tests/__pycache__/test_background.cpython-34.pyc
FileSize	7254
MD5	CFC470DD219422B3874EFD7C841AF936
SHA-1	08A6C11F3203385D1D24ACA3CC3A3E4C8D1FE839
SHA-256	075A097E435C6BC6D6009A8DAB05169FAEE7DDDC90C1A30EEE1AC4E63ACA1904
SSDEEP	192:eAIYiJn4qiVypVnwEGln3nUCnnoYaaC8RpOAh:eAIYk4qikpV7K3UCnoYaaC8RpOAh
TLSH	T174E10D8077D30D9FFA55F7BAE53957119AAEE51A2B009B4ACBB4F07C2BC4344443B258

Key	Value
FileName	./usr/lib64/python3.4/site-packages/photutils/extern/imageutils/nddata/tests/__pycache__/__init__.cpython-34.pyo
FileSize	170
MD5	C359760229613CC2EA3778B6DD7FCAA1
SHA-1	0C9A2B5C14581D903864AEFDF70B14248A60BA02
SHA-256	B2C637B1A70A3CC9D247B150D3F71CB077FA9EAB453DA0F20718EE873E96EBF0
SSDEEP	3:Ut8l+leh/kreWWeyKTNBKDVWrzpRQRIWKDJ4EKzRWh6BRkcTitn:Vaeh/1oGMrFdWiJJKzwhcD6
TLSH	T15CC08C604226AAD7EA2EACBA7200060088C5CDB1B046DB233A08020E5C0E6948C22500

Key	Value
FileName	./usr/lib64/python3.4/site-packages/photutils/extern/imageutils/stats/sigma_clipping.py
FileSize	7074
MD5	E356C0C10E938A75C7CBCA66D9292CD4
SHA-1	0F82D46D47076B6CB017DAB14E2E283B0EB4CE04
SHA-256	A043DCFEECB7EDAA7162638BC74138061CE7D9660341BBB398395BF6E0AD5BA1
SSDEEP	192:mgyng7N+jRhZm36Llq0z4+IE/m/ZgejyF:ht+jRhyE8+WZgJF
TLSH	T142E1A34EBD8907371543ECF6599E019983B1B56B67E0413A340EA2582F12037E3FEBAC

Key	Value
FileName	./usr/lib64/python3.4/site-packages/photutils/extern/imageutils/stats/__pycache__/sigma_clipping.cpython-34.pyo
FileSize	7162
MD5	90A51217382A42C1351FD3BE00E8463F
SHA-1	106D2B91D47DFC3E110B0E4AB8B03332012FCF09
SHA-256	9AEF1167B4010ECEC877B601DC71304B7650BE9EBC0389DD2F9E40690AE87FD1
SSDEEP	192:CGWwyng7N+jRhZm36Llq0z4B/kv0/ZgetabU:CGWwt+jRhyE8B/kv2Zg6abU
TLSH	T1E3E1F80A3E850727A543E8F695BE019683B2B52F67A04765305FE2743F5213283FEB9C

Key	Value
FileName	./usr/lib64/python3.4/site-packages/photutils/__pycache__/version.cpython-34.pyo
FileSize	4111
MD5	1460134E5A1CE815D48B9BDBF9223887
SHA-1	11B78F7D224FEDA39D441BCDB91C51A7105045E5
SHA-256	984234F781A82343E00E49DB6496606EFDBFC2688574D8A5FED4EB6C7255ECBF
SSDEEP	96:IKXxhSzyw2YCWG8jcOPwu7IMGVVyJ0wGBYuy/7eNm/0th/hcREn0GNfn:IKjSmYCWG8jcEwuEMGbzwGBXyTec/0th
TLSH	T16981945167889777F660D370B66C0622C7A8E4DB5F0927007BEDD1767FCB3609A3A284

Key	Value
FileName	./usr/lib/python3/dist-packages/photutils/utils/prepare_data.py
FileSize	5434
MD5	AF194F8F3F904C4591382A70D3CC5533
SHA-1	13D7BE04FEF73E69A99C904C2B759200FF241FFC
SHA-256	19EB09DD6607153237BCB1C70AC802F8B2D741F11DDC0F2E1198229FFD9A6425
SSDEEP	96:SV6Xi6ANjugzW3VjxoXJZIuy1toFQ4U9iXeU7tbG:liJ1FzWljxKJZID1tW00eU7tbG
TLSH	T1B1B1741FFF80263721A282BD449B68006774F48F83106E2838BD70B3AFCD5529A77E59