Result for 55BB01E0421323151682A9C6FC9D1621095113D6

Query result

Key	Value
MD5	842E552B046CCDAA4FF885F4292D407D
PackageArch	noarch
PackageDescription	Visvis is a pure Python library for visualization of 1D to 4D data in an object oriented way. Essentially, visvis is an object oriented layer of Python on top of OpenGl, thereby combining the power of OpenGl with the usability of Python. A Matlab/Matplotlib-like interface in the form of a set of functions allows easy creation of objects (e.g. plot(), imshow(), volshow(), surf()).
PackageMaintainer	Fedora Project
PackageName	python3-visvis
PackageRelease	3.fc33
PackageVersion	1.12.3
SHA-1	55BB01E0421323151682A9C6FC9D1621095113D6
SHA-256	5C91E8941818AA5EE0E54C8D79E0884276398D05272978995287816CA5104095
hashlookup:children-total	365
hashlookup:trust	50

Network graph view

Children (Total: 365)

The searched file hash includes 365 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/lib/python3.9/site-packages/visvis/utils/iso/__pycache__/__init__.cpython-39.pyc
FileSize	3461
MD5	65AA12B0690A55BF3AE04B5DFD528C02
SHA-1	0017B96870862D6CACBD0ED855C05B62F83161E9
SHA-256	1585C3AB91D2E68A24C4F037F2895717B77D9EC278BB2C888B2578177DE45B5C
SSDEEP	96:cXENr2l8hDOfQaEyM897GEI7MSQvMRlzviJSKmHRJ/2YKCfgHB:Fro8ROIkTVnI7MS4MHviJSKWr/dKCfc
TLSH	T16661A40A9D816676F843B270B00F4566C7F504FA2666A3D17C6D984D1FC49F6083B6EC

Key	Value
FileName	./usr/lib/python3.9/site-packages/visvis/processing/__pycache__/lineToMesh.cpython-39.pyc
FileSize	5492
MD5	BF84B34427BDDA48C0481A44A6EC2CEE
SHA-1	00E101C618A5A33D243F90BDD23286B7D0F7EA3D
SHA-256	6FAC0F105E6D7F7402DAEAF5174EBF3B436560E48BC7074728BD94F8C5DEF878
SSDEEP	96:su3CEFDejSfL9bjQhY4iSPnOKt0lRukYq4eh+RqV+mK0yRQpQyqqy:3CiESfL9PaiSPnOKt0XFYnu2qY0pRqqy
TLSH	T110B1C8570C40AF71EC5950F9501C019AC35299EF96588FD27C5F001C2F9ABFE2BBA6AD

Key	Value
FileName	./usr/lib/python3.6/site-packages/visvis/functions/use.py
FileSize	1778
MD5	FC478FDF9CBE9BF7B134ECE20432922A
SHA-1	01C56031819E8500EAE500856E372680381B99AF
SHA-256	0A284F5773E4FA357091713A7D1E38250521AF0811FF8A698D1B9C17A2E429FA
SSDEEP	48:pKrrguD5GGJFswI60EayJgeINM7nyGh9GzZ/Ck:mcuDvgIzayJPISDkgk
TLSH	T10631101BEF4571654FBAC03E39B592E5C73D443F126B4450786CA85C0F15A2184BEAEF

Key	Value
FileName	./usr/lib/python3.9/site-packages/visvis/functions/__pycache__/meshWrite.cpython-39.pyc
FileSize	2003
MD5	B633B0E705EE216792A5BCA3E57C3D61
SHA-1	02595C56B70CB521F766868140D037C99B02BEDD
SHA-256	133607BE28C61FDCE8BDEAC0157108638F3677F18D00C311A0B55BEEACD95650
SSDEEP	48:QDyW4XCySeiVU4G01SQS8AGB6CQoDVMf6jvzKIU/y6XifCv8:7eySeiVs01Jxd6gDVMC/Kn/VXifs8
TLSH	T15341D9556DC415BBE9D4EDF0064EA25AC328417F95A29333B8CD952C3F0AF2C11DC608

Key	Value
FileName	./usr/lib/python3.9/site-packages/visvis/core/__pycache__/baseWibjects.cpython-39.pyc
FileSize	5539
MD5	53ECCA1C4332D22928A081BB269721C8
SHA-1	02DD905EA0FF21BB57D3914484B1ED2614212D24
SHA-256	8784FD852E38F4BCB49E571B6CBB58F0378A10A167C5E0883D4399EAC003F65F
SSDEEP	96:A/JlfuyIv0JiX28yEODi0JOpSRA1Lqtu+1PPxk/3xe9Qmok8faAK48xbgi:ALuyJrlIS29q84PZkp+Qmb8fqx
TLSH	T145B144865682A8EFFD7BF3B945DA1204F933112A0F1FE017363B915B4E153CA5A38A4C

Key	Value
FileName	./usr/lib/python3.9/site-packages/visvis/examples/__pycache__/statistics.cpython-39.pyc
FileSize	3908
MD5	077F0ED12E8AF4A840640450A5D4F097
SHA-1	039A19C65FBDBF03F5FFC953028B501CA09220F0
SHA-256	0FC93535B5AE483B1A6BC12F31F1E46A65D784F0C590BE1E0C4ECCF54E2A7981
SSDEEP	96:/3qELSJzIKdTCcgR/JmWGNOHdKQFupKgV9yAg70uYmW4:/ZSJEQTCnRRrG89KJjn4
TLSH	T1F38173ECAAE556D1F902B7F0850606707F7BA43E2F4BCB504329DAB0F91989CE5D8C45

Key	Value
FileName	./usr/lib/python3.9/site-packages/visvis/examples/colorVolume.py
FileSize	725
MD5	A14A44C78C10A4B4B7428C2A49941DE1
SHA-1	03B08A398D6E5B21E47F3AB67430B98603729E22
SHA-256	CA370FD84F046DD0E0FE501F194B03BADC908E9EEEBBCBB657A13831CF643AE9
SSDEEP	12:H8+KzWiXWlQQeU4YqsRmBdkurpBISuO3EJmWQJ7Fw7JMQWQJxZOIDd48F+:B/lteFsRmBdkaunO3gmWm7FwNkmvOIeP
TLSH	T12301D0067A0D36C20E301CBD90C79A438EFD9DA5275C2E581A1EF16E162823596FC3B9

Key	Value
FileName	./usr/lib/python3.6/site-packages/visvis/utils/__init__.py
FileSize	813
MD5	96DA7A23C320671187DB7153C6C16C72
SHA-1	044584303F94D939A0BB4DB541D153B379EB9436
SHA-256	056E231F721ACC2D3EE9605314840927908D6BB4556DEC54136E0A2E7B493C73
SSDEEP	24:lTz+8O/fLfmL0EYy0Fza8zi+O3pSvk9aOdslXfTrNZ:pKrreLZElzSTtd8dZ
TLSH	T143018623D39457604E83C1B736C740ADDA7FA01C23F640A130C0A45D030AECDC5B3585

Key	Value
FileName	./usr/lib/python3.9/site-packages/visvis/examples/__pycache__/embeddingInQt4.cpython-39.pyc
FileSize	1510
MD5	514218EA9683C0A7E5C34B9A0F5A70A3
SHA-1	05D9D3CE37F434DD75C3853133148E8D9E48F5BB
SHA-256	E82A7C5228796FBCE4B7E12D1C77FE996A340A12EC77BEC22CE1F5EA84313191
SSDEEP	24:QxU7+DwWey3cpQD5qIhCfAgg9VJl//ElTzz+9sfPk1CWw8L7qF:QGiDwWYpQNPggP34nz+mfPjT8L7A
TLSH	T16B3186CE540149B9F96EF274811E4383D725413F5396DA1A0E0EF215CD4E0C27834E8C

Key	Value
FileName	./usr/lib/python3.6/site-packages/visvis/utils/graph.py
FileSize	24650
MD5	6CD0E228C1668815606975705C402843
SHA-1	064BA3B8A35DF06F25F1AC2395D731A2CE1867A5
SHA-256	558EA341D204C60A666A953B27108F429C70A33F3EE4D37F32D1EE7A58B6CC98
SSDEEP	384:u+jFr1K2mroOcyPpVC1pDs1xUn/RIa90jvU2rVyDEemBxNuJ1EOVOt:z1KDxPpVCI+ZIzrU2rVyDCBxNu0T
TLSH	T1FDB2836BE1067A6AE79704745907A802A70EAC578298543D7CFC81AC1F41B34CBFAFDD