Result for 39BF0C5A6A6DDC12CF67A39A96F8CD5AA9400AF3

Query result

Key	Value
MD5	2B0F767C8656D65B8441E0B259FA98EB
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	3.fc22
PackageVersion	0.1
SHA-1	39BF0C5A6A6DDC12CF67A39A96F8CD5AA9400AF3
SHA-256	7E30C236EDE365D36DBCCCCBEEB2AB0AEB6035C3F8E8A1AECA00AF914ECB3D71
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/extern/imageutils/nddata/tests/__pycache__/test_utils.cpython-34.pyc
FileSize	2939
MD5	967EA0469E4678EDFB2C8D6032713BB7
SHA-1	015917DECA8067C6F7D3977D985A149B6FF74C9F
SHA-256	863BE61301D9218093D0D19DB0CF5BA9568DAED7C694409B3A85B11525856365
SSDEEP	48:6p3x5adtgDmdYjVtGJg907jBGQNtGHWJbgpZVHdB8j88Cp0Gz9WPK:AhYtMPxtGJZ79GytG2JbyVHPnTxz9WC
TLSH	T1C051624873838EAFF911F7F4D1A55608C97AF6613F11C340E56984382FC439A221A1F8

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/utils/tests/__pycache__/__init__.cpython-34.pyo
FileSize	151
MD5	F6CD5C86B79F753FFBCDB070C3C0BB9E
SHA-1	04BE0DA1316052633B3719891B791C434E7D6645
SHA-256	167502CB63ECBEF9B60A7B982E43081877998682CC7C23FD4B2FFC179F72F46F
SSDEEP	3:4l+leh/kreWWehzENBKDVWrzpRQRIWKlJWKmWy6BRkcTitn:oaeh/18AGMrFdWOcWycD6
TLSH	T1FAC09B504617D5D6F56DBCBE6310471314C4CDB1B55797737515050D1C4D6954C12501

Key	Value
FileName	./usr/lib64/python3.4/site-packages/photutils/detection/__pycache__/findstars.cpython-34.pyc
FileSize	29696
MD5	A4F7B45083381369CE9AECA8BAEE05C5
SHA-1	074E0985055F9EBE3DD7F11AEE1C9E7582F9504F
SHA-256	D3EFC6F84C968DCABD0B9BEC820AEA05BBE2ACD4546DD0E800A2CC4857406BCF
SSDEEP	384:4/hy1jvPz2CofeACYzp8D2/4KoqHbwuuqZ4HGrvkAH8HR7:4/Qnzcew6DWpoc9bZPvkAH8HR7
TLSH	T1A1D294092F44976FF443E5B2E07E1185D632C5BBA622570435ECD2782FE1E30D6BBA89

Key	Value
FileName	./usr/lib64/python3.4/site-packages/photutils/detection/__pycache__/setup_package.cpython-34.pyo
FileSize	309
MD5	F6AE6F927D853B0BBBF8F5ADB6CB6322
SHA-1	07DB8F664E35C6646141A582AA1828E488D5F31B
SHA-256	C1BACB4B200BD6330F7606362165AD4211939A0A9A89EA9DE077CBC8D810AE49
SSDEEP	6:4ctO1/2mmGcD6L8xUKTWLy1mwGGMrFdWL6A7E29CBumXit:4ctO9BmGW/aLyVGG2UGN2+X2
TLSH	T11EE02B51A7066985F96DFCB4A100093728F6ED77B613E393721010CB5C9C7D58C3280C

Key	Value
FileName	./usr/lib64/python3.4/site-packages/photutils/geometry/__pycache__/__init__.cpython-34.pyo
FileSize	426
MD5	6D07E4C97487CDF2FE2A351410A8DADD
SHA-1	0B676C6C042D01BB371C6833E8697DF51A0866CB
SHA-256	848B20AA0B72A6410567445CB6B6D3D7B1AAA2CE3D29BEB26532A4A592BACB98
SSDEEP	12:zi7MaJdbveez6HoUMwDPXKoijR8e1YG2URD0IL:OQKdbveeeHPKIKhL
TLSH	T1CCE0E5A477809386FC8C5536B03186491BDCAAE7A52967413605077EE9843800551B96

Key	Value
FileName	./usr/lib64/python3.4/site-packages/photutils/utils/tests/__pycache__/test_prepare_data.cpython-34.pyo
FileSize	2303
MD5	DDCD458302EB6B96F3B771B17ED607F5
SHA-1	0ED6E81ECDA565E3DB8F63BE445824F67984396E
SHA-256	D3E4D0DFEA63D3F25D7617B24F511AE57F5CFCC9994D01D98E0C10D8AA46C8FC
SSDEEP	48:71aFb51q14FBOh1q1HLU1q1EUlq6ZItfzMhYllTDqqcK/eA:KXqlvq5Lmqy8q6ZItfzMhATD/HT
TLSH	T18941FDC6B3878D0BFC99FBFDD191522A1B7AD0372B41B301CB94A03EABD4759082B405

Key	Value
FileName	./usr/lib64/python3.4/site-packages/photutils/tests/__pycache__/test_aperture_photometry.cpython-34.pyc
FileSize	22030
MD5	BB753BE1E6241DFAD9679D76B68FD6F1
SHA-1	0F34A0932BF4D4AAC64E42E43D45637A027A230B
SHA-256	360F7F27B669DBD7B539D4909B44AF81F63F9A30DB5A592AD717E4FF599C7BD5
SSDEEP	384:lA2tqY5Kul2lKJwWcNHL1a+nrASnRvPZifg6MYcrbD+4huf6Cj0IIsulHPiTzAAT:lFtqoJglL9ZL1aqESnpPEo6MYcv+48fZ
TLSH	T169A2629177828DEFF80AF3F578B4A241EFBAF9186B40D70219E0D07E2AC475A5D26185