Result for C091623106BFE51460553B98326408632C612384

Query result

Key	Value
MD5	5520567B5D17C321A746DE00A6A8D104
PackageArch	ppc64
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	2.fc24
PackageVersion	0.2
SHA-1	C091623106BFE51460553B98326408632C612384
SHA-256	4866B0D9BA9A8BD07E5617C04EDB4821A6A4DD2773BEAD7D2F77A3CE08AF77A5
hashlookup:children-total	167
hashlookup:trust	50

Network graph view

Children (Total: 167)

The searched file hash includes 167 children files known and seen by metalookup. A sample is included below:

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/python3.5/site-packages/photutils/geometry/tests/__pycache__/test_rectangular_overlap_grid.cpython-35.pyc
FileSize	1129
MD5	2208B4CF188171E8A58831E8C588888C
SHA-1	0480AC74374FCA7B60575122F8D6787FE8957995
SHA-256	A94DD115563BD5AFF0A52D6898B33FBD05D6B1C831DE20D63F4F7C7327E17D37
SSDEEP	24:61I/2hw4w6alZGsSW7JIJHtdTKeE67yoyjNl:6GOwq0JnFIJHKeE67ar
TLSH	T1F9214282E749AB99FD78E1B0E0B0531891B4E9364E3F93102EA096B73EC67512237703

Key	Value
FileName	./usr/lib/python3/dist-packages/photutils/utils/tests/test_interpolation.py
FileSize	6970
MD5	59E8FCE23A830FB5F9F9AC76A42EC29A
SHA-1	062338F7756478F345B8BF18D2172BCBAC2BDBE4
SHA-256	B0DB33A44BCD93EB501D49BBBE28DD2F44B762080BD46C957FD66B0688C984B9
SSDEEP	96:SVKQc3MXz7oi/oO3Ye2s1+Jpb92y2Ssd35uBV34xhBX7KKdBXMKrg2XMKeg2XI8n:7p3sYi/o+FgbLkj7KKPMK82MKN2I8m2
TLSH	T1BBE14300F7074A069393E2B5C0B28717257AE66B5789A82D78BC90905F2453DEDEBF7C

Key	Value
FileName	./usr/lib64/python3.5/site-packages/photutils/utils/tests/__pycache__/test_colormaps.cpython-35-PYTEST.pyc
FileSize	2415
MD5	31A8000A810627BEB34456D1675F6465
SHA-1	0951C8AA130E59D87DC92C7FD1F95444A40F281D
SHA-256	924DA425D00FAD74DA24DDA3025BD0A7892171EF6A207CEAF0025B93AA6301DC
SSDEEP	48:/37LIliMQoujEsOw4AyuuqRpi90eGrN8fRXWcC0ZSyjdNyAQGe7XOqiceO:3otd5uuqRA9PfRX/pkyZYgqreO
TLSH	T17F4130E553C04D5BFA58F2FED0B96709DFEAF5442E152302B2BAA0753EC63452827288

Key	Value
FileName	./usr/lib/python3/dist-packages/photutils/psf.py
FileSize	20048
MD5	2A63BEF7799D0B6D95823030EB976C11
SHA-1	0A97DB05284BAC99F64725448FD01A905F629166
SHA-256	4FC838B8F4B1614C45F96B9E6A611314AC3F76202384E8827B20B6DA9F762560
SSDEEP	384:VRtt7G+OyN92I4/2K/hqhj3V2I4DTNKM782iBtViFZ1uuOci:7Khq4NKM7KBtIFZ1uu8
TLSH	T1B092C706B8821E3E134385E961EE80429334E89B236525753DCED2583F67975E37AFEC

Key	Value
FileName	./usr/lib64/python3.5/site-packages/photutils/tests/__pycache__/test_background.cpython-35.pyc
FileSize	7229
MD5	6969F0B24D04FFB36F52845EBFE8A0BB
SHA-1	0C3331A3C6FAD4D0533A32764B3366FB25359284
SHA-256	774D4B807FDA0F641844F9DC52F6EAE437AD90C64C24D51187674288BA468242
SSDEEP	192:CAIYScRnqcVypVnwEGln3nUCnn5A/CCl5pOAh:CAIYBtqckpV7K3UCn5A/CCl5pOAh
TLSH	T159E1FC8077C30D9FFA56F7B9E53967119ABEE51A2B009B4ACBB4F07C2AC4344543B258

Key	Value
FileName	./usr/lib64/python3.5/site-packages/photutils/tests/test_segmentation.py
FileSize	22534
MD5	31B0FF163ABE120E9724CC6D545ADF88
SHA-1	0E3D87A399A37D9B442934F6425897751D05ED9D
SHA-256	B72C2CFC56B816FB1646A5F8D3CF437BA78A869AD6CAF53B8C3EDB3F44C5BA93
SSDEEP	384:fo3GTszjXR4ghNc2bmxTTKOJbYWH5TiO575RtHH8pgDl9pEE3dmd+4ZF:tTsWsSxzlRtHcpgDl9pEEtmdTr
TLSH	T102A23200E6075920E783E07ED0578D0326A5D6379A24257FF2BE95818F2CE3D86E7DB9

Key	Value
FileName	./usr/lib/python3/dist-packages/photutils/datasets/tests/test_make.py
FileSize	4732
MD5	FBAECC305A373D3AAFAD1C6184CC3B51
SHA-1	0FD0C2587CB57C0F7CB3BC478BFF1ABA3480F9C9
SHA-256	54C50605936B2C9A3C446C879A4EA8AFF20E9BAF4BD57C502E09E40B7038EFE7
SSDEEP	96:SVcOQJolFJ7KulviYQikx5vxxDw7O07VWd1fAnx:2HXQ7BHg
TLSH	T1E2A10109C6A5DC2BC397F1B5B03B40175E6522135B50EAF5796FD0802B28675A3BFE31

Key	Value
FileName	./usr/lib/python3/dist-packages/photutils/utils/convolution.py
FileSize	2158
MD5	C6C3973D14C0CDF0B8FC209614056B2B
SHA-1	102A5F0DBF0A67C517870DBE920E960252DB673D
SHA-256	9F74ECC5AF827903A95CBCF6ACAA5632675604874DF08C8DE66132D9F2100392
SSDEEP	48:SUADTo7xzavMIizivF92puZQnvT8+bvp/H6u:SVozuMZzeFcImnb8ovp/V
TLSH	T14F414413F968177824C391D2A14E9081322874175E10366A395ECF943F61AF7E3BBF9A

Key	Value
FileName	./usr/lib64/python3.5/site-packages/photutils/version.py
FileSize	6960
MD5	D9A6F97624B134F18C58FB27D73D3AEF
SHA-1	12560024A2EF09C13A837E1583026CDFD8105D72
SHA-256	2DD610D334613FA85BB7CB76624EB8665DCA015908D9091E293021CEB1471634
SSDEEP	96:gfF92eS7CWnPxe2iLPwu7IMiVVyaQxf+7766MJj51hbh+cTkCgW7b93E8riGNuP:4T2/CWQJwuEMibnqO7TChbhcCJP1rdg
TLSH	T111E1896689459A72C352D769698EC0F2A32C58ABF60D2538BCFDC3507F42938C7B45F8